From 140628063ce7737421823dc3a166e3c212d07208 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Wed, 29 Apr 2026 21:39:39 +0000 Subject: [PATCH 001/160] fix(team): gate /team/{id}/callback endpoints behind _verify_team_access MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three endpoints in ``team_callback_endpoints.py`` accept a ``team_id`` from the URL but never check whether the authenticated caller can manage that team: * ``POST /team/{team_id}/callback`` — write Langfuse / Langsmith / GCS credentials to any team * ``POST /team/{team_id}/disable_logging`` — silence audit logging for any team * ``GET /team/{team_id}/callback`` — read back another team's stored third-party API credentials Each handler now runs the existing ``_verify_team_access`` helper (proxy-admin / org-admin / team-admin hierarchy already used by sibling endpoints in ``team_endpoints.py``) on the resolved team row before the read or write. Tests: - ``test_add_team_callbacks_rejects_unauthorized_caller`` — internal user not on the team gets 403; DB write never happens. - ``test_disable_team_logging_rejects_unauthorized_caller`` — same. - ``test_get_team_callbacks_rejects_unauthorized_caller`` — same on the read path; victim team's callback data stays inaccessible. - ``test_proxy_admin_can_add_team_callbacks`` — proxy admin still passes through to the DB write (sanity that the guard didn't over-rotate). - ``test_team_admin_of_target_team_can_add_callbacks`` — team admin of the target team still passes through. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../team_callback_endpoints.py | 27 +++ .../test_team_callback_endpoints.py | 211 ++++++++++++++++++ 2 files changed, 238 insertions(+) create mode 100644 tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py diff --git a/litellm/proxy/management_endpoints/team_callback_endpoints.py b/litellm/proxy/management_endpoints/team_callback_endpoints.py index 4eec7c6b7c0..f28db70ef5d 100644 --- a/litellm/proxy/management_endpoints/team_callback_endpoints.py +++ b/litellm/proxy/management_endpoints/team_callback_endpoints.py @@ -13,12 +13,14 @@ from fastapi import APIRouter, Depends, Header, HTTPException, Request, status from litellm._logging import verbose_proxy_logger from litellm.proxy._types import ( AddTeamCallback, + LiteLLM_TeamTable, ProxyErrorTypes, ProxyException, TeamCallbackMetadata, UserAPIKeyAuth, ) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth +from litellm.proxy.management_endpoints.team_endpoints import _verify_team_access from litellm.proxy.management_helpers.utils import management_endpoint_wrapper router = APIRouter() @@ -100,6 +102,15 @@ async def add_team_callbacks( }, ) + # IDOR guard: only proxy admins / org admins / team admins of THIS + # team may write callback credentials. Without this, any + # authenticated key holder could overwrite another team's logging + # config (and read back the credentials they wrote). + await _verify_team_access( + team_obj=LiteLLM_TeamTable(**_existing_team.model_dump()), + user_api_key_dict=user_api_key_dict, + ) + # store team callback settings in metadata team_metadata = _existing_team.metadata team_callback_settings: List[dict] = team_metadata.get( @@ -196,6 +207,14 @@ async def disable_team_logging( detail={"error": f"Team id = {team_id} does not exist."}, ) + # IDOR guard: only proxy admins / org admins / team admins of THIS + # team may disable its logging — otherwise any authenticated key + # holder can silence audit logging for any team. + await _verify_team_access( + team_obj=LiteLLM_TeamTable(**_existing_team.model_dump()), + user_api_key_dict=user_api_key_dict, + ) + # Update team metadata to disable logging team_metadata = _existing_team.metadata team_callback_settings = team_metadata.get("callback_settings", {}) @@ -305,6 +324,14 @@ async def get_team_callbacks( detail={"error": f"Team id = {team_id} does not exist."}, ) + # IDOR guard: callback metadata holds third-party API credentials + # (Langfuse / Langsmith / GCS). Only proxy admins / org admins / + # team admins of THIS team may read them. + await _verify_team_access( + team_obj=LiteLLM_TeamTable(**_existing_team.model_dump()), + user_api_key_dict=user_api_key_dict, + ) + # Retrieve team callback settings from metadata team_metadata = _existing_team.metadata team_callback_settings = team_metadata.get("callback_settings", {}) diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py new file mode 100644 index 00000000000..745c0583bbd --- /dev/null +++ b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py @@ -0,0 +1,211 @@ +""" +Regression tests for the IDOR fix on team callback endpoints +(GHSA-xxv2-fprq-9x93). + +The three endpoints below previously authenticated the caller but never +checked whether the caller could manage the target team — any +authenticated key holder could write callback credentials to any team, +disable any team's logging, or read back another team's stored +third-party API credentials (Langfuse / Langsmith / GCS). + +The fix routes each handler through ``_verify_team_access``, which +enforces the proxy-admin / org-admin / team-admin hierarchy used by +sibling endpoints in ``team_endpoints.py``. +""" + +import os +import sys +from unittest.mock import AsyncMock, MagicMock, Mock, patch + +import pytest +from fastapi import HTTPException, Request + +sys.path.insert(0, os.path.abspath("../../../..")) + +from litellm.proxy._types import ( + AddTeamCallback, + LitellmUserRoles, + Member, + UserAPIKeyAuth, +) +from litellm.proxy.management_endpoints.team_callback_endpoints import ( + add_team_callbacks, + disable_team_logging, + get_team_callbacks, +) + + +def _other_team_existing_row(): + """Return a mock team row owned by someone other than the test caller.""" + row = MagicMock() + row.model_dump.return_value = { + "team_id": "team-victim", + "team_alias": "victim-team", + "members_with_roles": [ + {"role": "admin", "user_id": "victim_admin"}, + ], + "organization_id": "org-victim", + } + row.metadata = {} + return row + + +@pytest.fixture +def unauthorized_caller(): + return UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="random_authenticated_user", + api_key="sk-random", + ) + + +@pytest.fixture +def patched_prisma(): + """ + Patch the proxy_server.prisma_client used inside each handler with a + mock that returns a victim-team row from get_data(). + """ + with ( + patch( + "litellm.proxy.proxy_server.prisma_client", + ) as mock_client, + patch( + "litellm.proxy.management_endpoints.team_endpoints._is_user_org_admin_for_team", + new_callable=AsyncMock, + return_value=False, + ), + ): + mock_client.get_data = AsyncMock(return_value=_other_team_existing_row()) + mock_client.db.litellm_teamtable.update = AsyncMock() + yield mock_client + + +@pytest.mark.asyncio +async def test_add_team_callbacks_rejects_unauthorized_caller( + patched_prisma, unauthorized_caller +): + data = AddTeamCallback( + callback_name="langfuse", + callback_type="success", + callback_vars={ + "langfuse_public_key": "pk-attacker", + "langfuse_secret_key": "sk-attacker", + }, + ) + with pytest.raises(HTTPException) as exc: + await add_team_callbacks( + data=data, + http_request=Mock(spec=Request), + team_id="team-victim", + user_api_key_dict=unauthorized_caller, + ) + assert exc.value.status_code == 403 + # The unauthorized caller must NOT have written to the victim team. + patched_prisma.db.litellm_teamtable.update.assert_not_called() + + +@pytest.mark.asyncio +async def test_disable_team_logging_rejects_unauthorized_caller( + patched_prisma, unauthorized_caller +): + # The endpoint catches HTTPException and re-wraps it as ProxyException + # with the original status code preserved. + from litellm.proxy._types import ProxyException + + with pytest.raises((HTTPException, ProxyException)) as exc: + await disable_team_logging( + http_request=Mock(spec=Request), + team_id="team-victim", + user_api_key_dict=unauthorized_caller, + ) + code = getattr(exc.value, "status_code", None) or getattr(exc.value, "code", None) + assert int(code) == 403 + patched_prisma.db.litellm_teamtable.update.assert_not_called() + + +@pytest.mark.asyncio +async def test_get_team_callbacks_rejects_unauthorized_caller( + patched_prisma, unauthorized_caller +): + # The endpoint catches generic Exception and re-wraps as ProxyException; + # an HTTPException raised by the access guard surfaces as a 403 + # ProxyException — both shapes are acceptable failure modes, what + # matters is that the caller does NOT receive the team's callback data. + from litellm.proxy._types import ProxyException + + with pytest.raises((HTTPException, ProxyException)) as exc: + await get_team_callbacks( + http_request=Mock(spec=Request), + team_id="team-victim", + user_api_key_dict=unauthorized_caller, + ) + code = getattr(exc.value, "status_code", None) or getattr(exc.value, "code", None) + assert int(code) == 403 + + +@pytest.mark.asyncio +async def test_proxy_admin_can_add_team_callbacks(patched_prisma): + """ + A proxy admin should pass the access guard and reach the DB write. + Sanity check that the guard didn't over-rotate. + """ + proxy_admin = UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, + user_id="admin", + api_key="sk-admin", + ) + data = AddTeamCallback( + callback_name="langfuse", + callback_type="success", + callback_vars={ + "langfuse_public_key": "pk-admin", + "langfuse_secret_key": "sk-admin", + }, + ) + await add_team_callbacks( + data=data, + http_request=Mock(spec=Request), + team_id="team-victim", + user_api_key_dict=proxy_admin, + ) + patched_prisma.db.litellm_teamtable.update.assert_awaited_once() + + +@pytest.mark.asyncio +async def test_team_admin_of_target_team_can_add_callbacks(patched_prisma): + """ + A team admin OF THE TARGET team should pass the access guard. + """ + # Override the victim row so the caller IS the team admin. + row = MagicMock() + row.model_dump.return_value = { + "team_id": "team-victim", + "team_alias": "victim-team", + "members_with_roles": [ + {"role": "admin", "user_id": "team_admin_user"}, + ], + "organization_id": "org-victim", + } + row.metadata = {} + patched_prisma.get_data = AsyncMock(return_value=row) + + team_admin = UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="team_admin_user", + api_key="sk-team-admin", + ) + data = AddTeamCallback( + callback_name="langfuse", + callback_type="success", + callback_vars={ + "langfuse_public_key": "pk-team", + "langfuse_secret_key": "sk-team", + }, + ) + await add_team_callbacks( + data=data, + http_request=Mock(spec=Request), + team_id="team-victim", + user_api_key_dict=team_admin, + ) + patched_prisma.db.litellm_teamtable.update.assert_awaited_once() From 578846e57d6822907b16ed2f96bccbc77f080d04 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Wed, 29 Apr 2026 21:56:04 +0000 Subject: [PATCH 002/160] fix(team): don't log legitimate 403s at error level on /callback endpoints MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Greptile flagged that ``disable_team_logging`` and ``get_team_callbacks`` re-wrap any ``HTTPException`` (including the 403 from the access guard) through a catch-all that logs at ``.error()`` before re-raising — so every legitimate access-denied response would pollute alerting dashboards as a "server error". Add explicit ``except HTTPException: raise`` and ``except ProxyException: raise`` branches before the catch-all (matching the pattern already used in ``add_team_callbacks``). 4xx now propagates quietly; only genuinely unexpected exceptions still hit the error-level log. Tests assert ``HTTPException`` is now the surfaced shape (instead of the previous ``ProxyException`` re-wrap). Co-Authored-By: Claude Opus 4.7 (1M context) --- .../team_callback_endpoints.py | 23 +++++++++++-------- .../test_team_callback_endpoints.py | 23 ++++++------------- 2 files changed, 21 insertions(+), 25 deletions(-) diff --git a/litellm/proxy/management_endpoints/team_callback_endpoints.py b/litellm/proxy/management_endpoints/team_callback_endpoints.py index f28db70ef5d..934824dd89f 100644 --- a/litellm/proxy/management_endpoints/team_callback_endpoints.py +++ b/litellm/proxy/management_endpoints/team_callback_endpoints.py @@ -251,20 +251,18 @@ async def disable_team_logging( }, } + except HTTPException: + # Legitimate 4xx (e.g. 403 from the access guard, 404 for an + # unknown team). Re-raise without the error-level log noise that + # the catch-all branch below would produce. + raise + except ProxyException: + raise except Exception as e: verbose_proxy_logger.error( f"litellm.proxy.proxy_server.disable_team_logging(): Exception occurred - {str(e)}" ) verbose_proxy_logger.debug(traceback.format_exc()) - if isinstance(e, HTTPException): - raise ProxyException( - message=getattr(e, "detail", f"Internal Server Error({str(e)})"), - type=ProxyErrorTypes.internal_server_error.value, - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_500_INTERNAL_SERVER_ERROR), - ) - elif isinstance(e, ProxyException): - raise e raise ProxyException( message="Internal Server Error, " + str(e), type=ProxyErrorTypes.internal_server_error.value, @@ -349,6 +347,13 @@ async def get_team_callbacks( }, } + except HTTPException: + # Legitimate 4xx (e.g. 403 from the access guard) — re-raise + # without the error-level log noise that the catch-all below + # would produce. + raise + except ProxyException: + raise except Exception as e: verbose_proxy_logger.error( "litellm.proxy.proxy_server.get_team_callbacks(): Exception occurred - {}".format( diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py index 745c0583bbd..e26820ea9cd 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py @@ -108,18 +108,16 @@ async def test_add_team_callbacks_rejects_unauthorized_caller( async def test_disable_team_logging_rejects_unauthorized_caller( patched_prisma, unauthorized_caller ): - # The endpoint catches HTTPException and re-wraps it as ProxyException - # with the original status code preserved. - from litellm.proxy._types import ProxyException - - with pytest.raises((HTTPException, ProxyException)) as exc: + # The HTTPException from the access guard now propagates directly + # — the catch-all that previously re-wrapped (and logged at error + # level) was narrowed so legitimate 4xx don't pollute alerting. + with pytest.raises(HTTPException) as exc: await disable_team_logging( http_request=Mock(spec=Request), team_id="team-victim", user_api_key_dict=unauthorized_caller, ) - code = getattr(exc.value, "status_code", None) or getattr(exc.value, "code", None) - assert int(code) == 403 + assert exc.value.status_code == 403 patched_prisma.db.litellm_teamtable.update.assert_not_called() @@ -127,20 +125,13 @@ async def test_disable_team_logging_rejects_unauthorized_caller( async def test_get_team_callbacks_rejects_unauthorized_caller( patched_prisma, unauthorized_caller ): - # The endpoint catches generic Exception and re-wraps as ProxyException; - # an HTTPException raised by the access guard surfaces as a 403 - # ProxyException — both shapes are acceptable failure modes, what - # matters is that the caller does NOT receive the team's callback data. - from litellm.proxy._types import ProxyException - - with pytest.raises((HTTPException, ProxyException)) as exc: + with pytest.raises(HTTPException) as exc: await get_team_callbacks( http_request=Mock(spec=Request), team_id="team-victim", user_api_key_dict=unauthorized_caller, ) - code = getattr(exc.value, "status_code", None) or getattr(exc.value, "code", None) - assert int(code) == 403 + assert exc.value.status_code == 403 @pytest.mark.asyncio From a9bc5549b2616d06bb4a824940b941e0d91812c3 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Wed, 29 Apr 2026 22:51:59 +0000 Subject: [PATCH 003/160] fix(team): also gate organization-scoped endpoints behind _verify_org_access MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Variant analysis on the team-callback IDOR (GHSA-xxv2-fprq-9x93) surfaced the same shape on organization-scoped endpoints. Each takes ``organization_id`` from the request body, looks up the org, and performs reads or writes — without checking whether the caller can manage that org. Affected endpoints: * ``PATCH /organization/update`` — any authenticated key holder could rewrite any org's metadata, budgets, and object permissions. * ``POST /organization/member_add`` — docstring promises "Only proxy_admin or org_admin allowed" but the code never enforced it; any caller could add members to any org. * ``POST /organization/member_update`` — only the ``modify-PROXY_ADMIN-target-only`` defense was in place; non-admin members in any org could be re-roled by any caller. * ``POST /organization/member_delete`` — no access check at all; any caller could remove any user from any org. Each handler now runs the existing ``_verify_org_access`` helper (proxy-admin / org-admin hierarchy already used by ``GET /organization/info`` and ``POST /organization/info``) before the read or write. Tests: - ``test_organization_member_add_rejects_unauthorized_caller`` — internal user not on the org gets 403; DB write never happens. - ``test_organization_member_update_rejects_unauthorized_caller`` — same. - ``test_organization_member_delete_rejects_unauthorized_caller`` — same. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../organization_endpoints.py | 38 +++++ .../test_organization_endpoints.py | 130 ++++++++++++++++++ 2 files changed, 168 insertions(+) diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py index 442fae2a4fa..79b9c459e4b 100644 --- a/litellm/proxy/management_endpoints/organization_endpoints.py +++ b/litellm/proxy/management_endpoints/organization_endpoints.py @@ -500,6 +500,15 @@ async def update_organization( if data.updated_by is None: data.updated_by = user_api_key_dict.user_id + # IDOR guard: only proxy admins / org admins of THIS org may update + # it. Without this, any authenticated key holder could rewrite + # another organization's metadata, budgets, and object permissions. + await _verify_org_access( + organization_id=data.organization_id, + user_api_key_dict=user_api_key_dict, + prisma_client=prisma_client, + ) + existing_organization_row = ( await prisma_client.db.litellm_organizationtable.find_unique( where={"organization_id": data.organization_id}, @@ -909,6 +918,16 @@ async def organization_member_add( if prisma_client is None: raise HTTPException(status_code=500, detail={"error": "No db connected"}) + # IDOR guard: docstring says "Only proxy_admin or org_admin of + # organization, allowed to access this endpoint" — but the code + # never enforced that. Any authenticated key holder could add + # members to any org. Now gated explicitly. + await _verify_org_access( + organization_id=data.organization_id, + user_api_key_dict=user_api_key_dict, + prisma_client=prisma_client, + ) + # Check if organization exists existing_organization_row = ( await prisma_client.db.litellm_organizationtable.find_unique( @@ -1018,6 +1037,16 @@ async def organization_member_update( detail={"error": CommonProxyErrors.db_not_connected_error.value}, ) + # IDOR guard: only proxy admins / org admins of THIS org may + # update member roles. The PROXY_ADMIN-target check below was + # the only access control; without this, any authenticated user + # could change any non-admin member's role in any org. + await _verify_org_access( + organization_id=data.organization_id, + user_api_key_dict=user_api_key_dict, + prisma_client=prisma_client, + ) + # Check if organization exists existing_organization_row = ( await prisma_client.db.litellm_organizationtable.find_unique( @@ -1179,6 +1208,15 @@ async def organization_member_delete( detail={"error": CommonProxyErrors.db_not_connected_error.value}, ) + # IDOR guard: only proxy admins / org admins of THIS org may + # delete members. Without this, any authenticated key holder + # could remove any user from any org. + await _verify_org_access( + organization_id=data.organization_id, + user_api_key_dict=user_api_key_dict, + prisma_client=prisma_client, + ) + if data.user_email is not None and data.user_id is None: existing_user_email_row = await find_member_if_email( data.user_email, prisma_client diff --git a/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py index 4501cc76636..f4470e7e83d 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py @@ -565,3 +565,133 @@ async def test_organization_info_includes_user_email(monkeypatch): membership = LiteLLM_OrganizationMembershipTable(**raw_membership) assert membership.user_email == "alice@example.com" + + +# Regression tests for IDOR fixes on org-scoped endpoints. Sibling cluster +# to GHSA-xxv2-fprq-9x93 (team callback IDOR): the same shape of "any +# authenticated key holder reaches an endpoint that takes an +# organization_id from the request body without an access guard." The +# fix routes ``update_organization``, ``organization_member_add``, +# ``organization_member_update``, and ``organization_member_delete`` +# through the existing ``_verify_org_access`` helper. + + +@pytest.fixture +def unauthorized_caller(): + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + return UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="random_authenticated_user", + api_key="sk-random", + ) + + +@pytest.fixture +def patched_org_prisma(): + """Mock prisma so that find_unique returns a victim org and + get_user_object reports the caller has no org membership — so + _verify_org_access raises 403.""" + victim_row = MagicMock() + victim_row.organization_id = "org-victim" + victim_row.metadata = {} + victim_row.model_dump.return_value = {"organization_id": "org-victim"} + + caller_user = MagicMock() + caller_user.organization_memberships = [] # no admin role anywhere + + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.organization_endpoints.get_user_object", + new_callable=AsyncMock, + return_value=caller_user, + ), + patch( + "litellm.proxy.proxy_server.user_api_key_cache", + ), + patch("litellm.proxy.proxy_server.proxy_logging_obj"), + ): + mock_prisma.db.litellm_organizationtable.find_unique = AsyncMock( + return_value=victim_row + ) + yield mock_prisma + + +@pytest.mark.asyncio +async def test_organization_member_add_rejects_unauthorized_caller( + patched_org_prisma, unauthorized_caller +): + # ``organization_member_add`` catches HTTPException in its + # catch-all and re-wraps as ProxyException with the original status + # code preserved. + from litellm.proxy._types import ( + OrganizationMemberAddRequest, + OrgMember, + ProxyException, + ) + from litellm.proxy.management_endpoints.organization_endpoints import ( + organization_member_add, + ) + from unittest.mock import Mock + + from fastapi import Request + + data = OrganizationMemberAddRequest( + organization_id="org-victim", + member=OrgMember(role="internal_user", user_id="attacker-user"), + ) + + with pytest.raises((HTTPException, ProxyException)) as exc: + await organization_member_add( + data=data, + http_request=Mock(spec=Request), + user_api_key_dict=unauthorized_caller, + ) + code = getattr(exc.value, "status_code", None) or getattr(exc.value, "code", None) + assert int(code) == 403 + + +@pytest.mark.asyncio +async def test_organization_member_update_rejects_unauthorized_caller( + patched_org_prisma, unauthorized_caller +): + from litellm.proxy._types import OrganizationMemberUpdateRequest + from litellm.proxy.management_endpoints.organization_endpoints import ( + organization_member_update, + ) + + data = OrganizationMemberUpdateRequest( + organization_id="org-victim", + user_id="some-other-user", + role="org_admin", + ) + + with pytest.raises(HTTPException) as exc: + await organization_member_update( + data=data, + user_api_key_dict=unauthorized_caller, + ) + assert exc.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_organization_member_delete_rejects_unauthorized_caller( + patched_org_prisma, unauthorized_caller +): + from litellm.proxy._types import OrganizationMemberDeleteRequest + from litellm.proxy.management_endpoints.organization_endpoints import ( + organization_member_delete, + ) + + data = OrganizationMemberDeleteRequest( + organization_id="org-victim", + user_id="some-other-user", + ) + + with pytest.raises(HTTPException) as exc: + await organization_member_delete( + data=data, + user_api_key_dict=unauthorized_caller, + ) + assert exc.value.status_code == 403 From 6c386af9c772f6e024ed8b4636dfa3b57502bc41 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Wed, 29 Apr 2026 23:00:33 +0000 Subject: [PATCH 004/160] =?UTF-8?q?fix(team):=20mypy=20=E2=80=94=20guard?= =?UTF-8?q?=20organization=5Fid=20None=20before=20=5Fverify=5Forg=5Faccess?= =?UTF-8?q?=20call?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ``LiteLLM_OrganizationTableUpdate.organization_id`` is typed ``Optional[str]`` to allow update payloads that don't change the id. ``_verify_org_access`` expects ``str``. Add an explicit None check that raises 400 before the access guard fires — previously this would have crashed at runtime on a malformed update payload. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../proxy/management_endpoints/organization_endpoints.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py index 79b9c459e4b..ee683f322a1 100644 --- a/litellm/proxy/management_endpoints/organization_endpoints.py +++ b/litellm/proxy/management_endpoints/organization_endpoints.py @@ -500,6 +500,12 @@ async def update_organization( if data.updated_by is None: data.updated_by = user_api_key_dict.user_id + if data.organization_id is None: + raise HTTPException( + status_code=400, + detail={"error": "organization_id is required"}, + ) + # IDOR guard: only proxy admins / org admins of THIS org may update # it. Without this, any authenticated key holder could rewrite # another organization's metadata, budgets, and object permissions. From 236e8961897365802c01ec314a69b04637cc24cf Mon Sep 17 00:00:00 2001 From: Claude Date: Thu, 30 Apr 2026 02:01:23 +0000 Subject: [PATCH 005/160] fix(scim): block virtual keys when SCIM deprovisions/deactivates a user Previously, deleting a user via SCIM (`DELETE /scim/v2/Users/{id}`) or marking them inactive (`PATCH active=false` / `PUT active=false`) only touched the user row. Their virtual keys kept working because: - `litellm_verificationtoken` was never updated. - The auth path's combined-view query on the key never joined to the user's active state. - `get_user_object()` was wrapped in a silent `except` that set `user_obj=None` when the owning user record was gone, so requests proceeded normally. Changes: - Add `_set_user_keys_blocked(user_id, blocked)` in scim_v2.py that flips only mismatched rows via `update_many` and invalidates each affected token in the dual cache. - Cascade SCIM lifecycle events to keys: - `delete_user`: block all of the user's keys before deleting the user row (preserves spend/audit while orphaning safely). - `patch_user` / `update_user`: on `scim_active` transitions, block (false) or unblock (true) the user's keys. - Defense in depth in `user_api_key_auth`: reject the request when the loaded `user_obj` has `metadata.scim_active == False`, even if a cached key snuck past the per-key block. - `transform_litellm_user_to_scim_user` now reflects the real `scim_active` value instead of always returning `active=True`. Tests: - New `test_scim_key_deactivation.py` covering DELETE, PATCH active=false, PATCH active=true, no-op patches, and the helper's cache-invalidation contract. - New `test_scim_deactivated_user_key_is_rejected` exercising the auth-path defense. - Existing PATCH tests updated with verificationtoken mocks for the new code path. --- litellm/proxy/auth/user_api_key_auth.py | 13 + .../scim/scim_transformations.py | 9 +- .../management_endpoints/scim/scim_v2.py | 80 +++++ .../proxy/auth/test_user_api_key_auth.py | 110 ++++++- .../scim/test_scim_key_deactivation.py | 300 ++++++++++++++++++ .../scim/test_scim_patch_user.py | 7 + 6 files changed, 512 insertions(+), 7 deletions(-) create mode 100644 tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index b8db3cd2a7b..996bb7f4c22 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -1266,6 +1266,19 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 ) user_obj = None + # Defense in depth for SCIM-deprovisioned users: even if a + # cached key snuck past the blocked-flag check, refuse the + # request when the owning user has been marked inactive by + # the SCIM provider. + if ( + user_obj is not None + and isinstance(user_obj.metadata, dict) + and user_obj.metadata.get("scim_active") is False + ): + raise Exception( + f"User={valid_token.user_id} has been deactivated via SCIM. Keys owned by this user cannot be used." + ) + # Check 2a. Check if model has zero cost - if so, skip all budget checks model = get_model_from_request(request_data, route) skip_budget_checks = False diff --git a/litellm/proxy/management_endpoints/scim/scim_transformations.py b/litellm/proxy/management_endpoints/scim/scim_transformations.py index a741ddd697a..68c06173fdd 100644 --- a/litellm/proxy/management_endpoints/scim/scim_transformations.py +++ b/litellm/proxy/management_endpoints/scim/scim_transformations.py @@ -45,6 +45,13 @@ class ScimTransformations: if user.user_email and "@" in user.user_email: emails.append(SCIMUserEmail(value=user.user_email, primary=True)) + # Reflect SCIM-provider-controlled active state. Default to True for + # users that have never had the flag set (e.g. created before this + # field existed, or created outside SCIM). + metadata = user.metadata or {} + scim_active = metadata.get("scim_active") + active = True if scim_active is None else bool(scim_active) + return SCIMUser( schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], id=user.user_id, @@ -56,7 +63,7 @@ class ScimTransformations: ), emails=emails, groups=groups, - active=True, + active=active, meta={ "resourceType": "User", "created": user_created_at, diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py index 4c472ed7f21..8f332dcf484 100644 --- a/litellm/proxy/management_endpoints/scim/scim_v2.py +++ b/litellm/proxy/management_endpoints/scim/scim_v2.py @@ -38,6 +38,7 @@ from litellm.proxy._types import ( TeamMemberDeleteRequest, UserAPIKeyAuth, ) +from litellm.proxy.auth.auth_checks import _delete_cache_key_object from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.management_endpoints.internal_user_endpoints import new_user from litellm.proxy.management_endpoints.scim.scim_transformations import ( @@ -336,6 +337,58 @@ async def _handle_team_membership_changes( ) +async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: + """ + Block or unblock all virtual keys owned by a user and invalidate them in + the in-memory/redis caches so the change takes effect immediately. + + Returns the number of keys whose state was flipped. Used by the SCIM + deprovisioning flow so a user's keys stop working the moment SCIM marks + the user inactive (or deletes them). + """ + from litellm.proxy.proxy_server import proxy_logging_obj, user_api_key_cache + + prisma_client = await _get_prisma_client_or_raise_exception() + + # Only flip keys whose current state differs — avoids touching keys that + # were already (un)blocked manually by an admin. + affected_keys = await prisma_client.db.litellm_verificationtoken.find_many( + where={"user_id": user_id, "blocked": not blocked}, + ) + if not affected_keys: + return 0 + + await prisma_client.db.litellm_verificationtoken.update_many( + where={"user_id": user_id, "blocked": not blocked}, + data={"blocked": blocked}, + ) + + for key_row in affected_keys: + await _delete_cache_key_object( + hashed_token=key_row.token, + user_api_key_cache=user_api_key_cache, + proxy_logging_obj=proxy_logging_obj, + ) + + verbose_proxy_logger.info( + "SCIM: %s %d virtual key(s) for user_id=%s", + "blocked" if blocked else "unblocked", + len(affected_keys), + user_id, + ) + return len(affected_keys) + + +def _scim_active_value(metadata: Optional[Dict[str, Any]]) -> Optional[bool]: + """Read the SCIM active flag from a user's metadata dict, if present.""" + if not metadata: + return None + value = metadata.get("scim_active") + if value is None: + return None + return bool(value) + + async def _create_user_if_not_exists( user_id: str, created_via: str = "scim_group" ) -> Optional[NewUserResponse]: @@ -928,6 +981,8 @@ async def update_user( prisma_client = await _get_prisma_client_or_raise_exception() existing_user = await _check_user_exists(user_id) + prev_active = _scim_active_value(existing_user.metadata) + # Extract data from SCIM user user_data = _extract_scim_user_data(user) @@ -963,6 +1018,13 @@ async def update_user( data=update_data, ) + # Cascade SCIM active transitions to virtual keys (mirrors PATCH). + new_active = _scim_active_value(metadata) + if new_active is not None and new_active != ( + True if prev_active is None else prev_active + ): + await _set_user_keys_blocked(user_id=user_id, blocked=not new_active) + # Convert back to SCIM format scim_user = await ScimTransformations.transform_litellm_user_to_scim_user( updated_user @@ -1009,6 +1071,12 @@ async def delete_user( where={"team_id": team.team_id}, data={"members": new_members} ) + # Block the user's virtual keys before deleting the user record. + # The user row going away leaves the keys orphaned; without this + # they'd keep working because the auth path silently tolerates a + # missing owner. + await _set_user_keys_blocked(user_id=user_id, blocked=True) + # Delete user await prisma_client.db.litellm_usertable.delete(where={"user_id": user_id}) @@ -1242,11 +1310,15 @@ async def patch_user( prisma_client = await _get_prisma_client_or_raise_exception() existing_user = await _check_user_exists(user_id) + prev_active = _scim_active_value(existing_user.metadata) + update_data, final_team_set = _apply_patch_ops( existing_user=existing_user, patch_ops=patch_ops, ) + new_active = _scim_active_value(update_data.get("metadata")) + # Handle team membership changes await _handle_team_membership_changes( user_id=user_id, @@ -1267,6 +1339,14 @@ async def patch_user( data=update_data, ) + # Cascade SCIM active transitions to virtual keys. Treat "previously + # unset" as active=True so a first-time PATCH with active=false still + # blocks any pre-existing keys. + if new_active is not None and new_active != ( + True if prev_active is None else prev_active + ): + await _set_user_keys_blocked(user_id=user_id, blocked=not new_active) + scim_user = await ScimTransformations.transform_litellm_user_to_scim_user( updated_user ) diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index 9c43ebcbe79..cc6a1f0bcc4 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -798,6 +798,99 @@ async def test_proxy_admin_expired_key_from_cache(): setattr(_proxy_server_mod, attr, val) +@pytest.mark.asyncio +async def test_scim_deactivated_user_key_is_rejected(): + """A virtual key whose owning user has metadata.scim_active=False must be + rejected by the auth flow (defense in depth on top of key-level blocking). + """ + from fastapi import Request + from starlette.datastructures import URL + + from litellm.proxy.auth.user_api_key_auth import _user_api_key_auth_builder + from litellm.proxy.proxy_server import hash_token + + api_key = "sk-scim-deactivated-user-key" + hashed_key = hash_token(api_key) + + valid_token = UserAPIKeyAuth( + api_key=api_key, + token=hashed_key, + user_id="scim-disabled-user", + ) + deactivated_user = LiteLLM_UserTable( + user_id="scim-disabled-user", + metadata={"scim_active": False}, + ) + + mock_cache = AsyncMock() + mock_cache.async_get_cache = AsyncMock(return_value=None) + mock_cache.delete_cache = MagicMock() + + mock_proxy_logging_obj = MagicMock() + mock_proxy_logging_obj.internal_usage_cache = MagicMock() + mock_proxy_logging_obj.internal_usage_cache.dual_cache = AsyncMock() + mock_proxy_logging_obj.internal_usage_cache.dual_cache.async_delete_cache = ( + AsyncMock() + ) + mock_proxy_logging_obj.post_call_failure_hook = AsyncMock(return_value=None) + + mock_prisma_client = MagicMock() + + import litellm.proxy.proxy_server as _proxy_server_mod + + _attrs_to_set = { + "prisma_client": mock_prisma_client, + "user_api_key_cache": mock_cache, + "proxy_logging_obj": mock_proxy_logging_obj, + "master_key": "sk-master-key", + "general_settings": {}, + "llm_model_list": [], + "llm_router": None, + "open_telemetry_logger": None, + "model_max_budget_limiter": MagicMock(), + "user_custom_auth": None, + "jwt_handler": None, + "litellm_proxy_admin_name": "admin", + } + _original_values = { + attr: getattr(_proxy_server_mod, attr, None) for attr in _attrs_to_set + } + try: + for attr, val in _attrs_to_set.items(): + setattr(_proxy_server_mod, attr, val) + + request = Request(scope={"type": "http"}) + request._url = URL(url="/chat/completions") + + with ( + patch( + "litellm.proxy.auth.user_api_key_auth.get_key_object", + new_callable=AsyncMock, + return_value=valid_token, + ), + patch( + "litellm.proxy.auth.user_api_key_auth.get_user_object", + new_callable=AsyncMock, + return_value=deactivated_user, + ), + ): + with pytest.raises(ProxyException) as exc_info: + await _user_api_key_auth_builder( + request=request, + api_key=f"Bearer {api_key}", + azure_api_key_header="", + anthropic_api_key_header=None, + google_ai_studio_api_key_header=None, + azure_apim_header=None, + request_data={}, + ) + + assert "deactivated via SCIM" in str(exc_info.value.message) + finally: + for attr, val in _original_values.items(): + setattr(_proxy_server_mod, attr, val) + + @pytest.mark.asyncio async def test_return_user_api_key_auth_obj_user_spend_and_budget(): """ @@ -1752,7 +1845,11 @@ async def test_team_metadata_refreshed_from_team_object_during_auth(): from starlette.datastructures import URL from starlette.requests import Request - from litellm.proxy._types import LiteLLM_TeamTableCachedObj, LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy._types import ( + LiteLLM_TeamTableCachedObj, + LitellmUserRoles, + UserAPIKeyAuth, + ) from litellm.proxy.auth.user_api_key_auth import _user_api_key_auth_builder api_key = "sk-test-team-metadata-refresh" @@ -1833,16 +1930,17 @@ async def test_team_metadata_refreshed_from_team_object_during_auth(): request_data={}, ) - assert result.team_metadata == {"guardrails": ["test-guardrail-333"]}, ( - f"team_metadata was not updated from fresh team object. Got: {result.team_metadata}" - ) + assert result.team_metadata == { + "guardrails": ["test-guardrail-333"] + }, f"team_metadata was not updated from fresh team object. Got: {result.team_metadata}" finally: for k, v in _originals.items(): setattr(_proxy_server_mod, k, v) - + + # --------------------------------------------------------------------------- - + # _run_centralized_common_checks — centralized authz gate # --------------------------------------------------------------------------- diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py new file mode 100644 index 00000000000..2b338d97165 --- /dev/null +++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py @@ -0,0 +1,300 @@ +"""Tests for SCIM-driven virtual key deactivation. + +When a SCIM provider deprovisions a user (DELETE) or marks them inactive +(PATCH/PUT with active=False), virtual keys owned by that user must stop +working immediately. Reactivating (active=True) must un-block them. +""" + +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from litellm.proxy._types import LiteLLM_UserTable +from litellm.proxy.management_endpoints.scim.scim_v2 import ( + _set_user_keys_blocked, + delete_user, + patch_user, +) +from litellm.types.proxy.management_endpoints.scim_v2 import ( + SCIMPatchOp, + SCIMPatchOperation, + SCIMUser, + SCIMUserEmail, + SCIMUserName, +) + + +def _build_token_row(token: str, user_id: str, blocked: bool): + row = MagicMock() + row.token = token + row.user_id = user_id + row.blocked = blocked + return row + + +def _build_prisma_with_keys(user_keys, mock_user=None, updated_user=None): + mock_client = MagicMock() + mock_db = MagicMock() + mock_client.db = mock_db + if mock_user is not None: + mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user) + if updated_user is not None: + mock_db.litellm_usertable.update = AsyncMock(return_value=updated_user) + mock_db.litellm_usertable.delete = AsyncMock(return_value=None) + mock_db.litellm_teamtable.find_unique = AsyncMock(return_value=None) + + mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=user_keys) + mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None) + return mock_client, mock_db + + +@pytest.mark.asyncio +async def test_set_user_keys_blocked_flips_state_and_invalidates_cache(): + """_set_user_keys_blocked must update_many AND invalidate each token in the cache.""" + keys = [ + _build_token_row("hash-1", "user-x", blocked=False), + _build_token_row("hash-2", "user-x", blocked=False), + ] + mock_client, mock_db = _build_prisma_with_keys(keys) + + cache_deletions = [] + + async def fake_delete(hashed_token, user_api_key_cache, proxy_logging_obj): + cache_deletions.append(hashed_token) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(side_effect=fake_delete), + ), + ): + flipped = await _set_user_keys_blocked(user_id="user-x", blocked=True) + + assert flipped == 2 + mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( + where={"user_id": "user-x", "blocked": False}, + data={"blocked": True}, + ) + assert sorted(cache_deletions) == ["hash-1", "hash-2"] + + +@pytest.mark.asyncio +async def test_set_user_keys_blocked_noop_when_no_matching_keys(): + """If no keys match the desired flip, neither update_many nor cache delete runs.""" + mock_client, mock_db = _build_prisma_with_keys(user_keys=[]) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ) as mocked_delete, + ): + flipped = await _set_user_keys_blocked(user_id="user-x", blocked=True) + + assert flipped == 0 + mock_db.litellm_verificationtoken.update_many.assert_not_called() + mocked_delete.assert_not_called() + + +@pytest.mark.asyncio +async def test_scim_delete_user_blocks_keys_before_deleting_user(): + """SCIM DELETE /Users/{id} must block the user's keys before removing the row.""" + user_id = "user-to-delete" + mock_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={}, + ) + keys = [_build_token_row("hash-a", user_id, blocked=False)] + mock_client, mock_db = _build_prisma_with_keys(keys, mock_user=mock_user) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + response = await delete_user(user_id=user_id) + + assert response.status_code == 204 + mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( + where={"user_id": user_id, "blocked": False}, + data={"blocked": True}, + ) + mock_db.litellm_usertable.delete.assert_awaited_once_with( + where={"user_id": user_id} + ) + + +@pytest.mark.asyncio +async def test_scim_patch_user_active_false_blocks_keys(): + user_id = "scim-user" + mock_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": True}, + ) + updated_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": False, "scim_metadata": {}}, + ) + keys = [_build_token_row("hash-z", user_id, blocked=False)] + mock_client, mock_db = _build_prisma_with_keys( + keys, mock_user=mock_user, updated_user=updated_user + ) + + patch_ops = SCIMPatchOp( + Operations=[SCIMPatchOperation(op="replace", path="active", value="False")] + ) + mock_scim_user = SCIMUser( + schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], + id=user_id, + userName=user_id, + name=SCIMUserName(familyName="X", givenName="Y"), + emails=[SCIMUserEmail(value="x@example.com")], + active=False, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user", + AsyncMock(return_value=mock_scim_user), + ), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + await patch_user(user_id=user_id, patch_ops=patch_ops) + + mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( + where={"user_id": user_id, "blocked": False}, + data={"blocked": True}, + ) + + +@pytest.mark.asyncio +async def test_scim_patch_user_active_true_unblocks_keys(): + user_id = "scim-user" + mock_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": False}, + ) + updated_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": True, "scim_metadata": {}}, + ) + keys = [_build_token_row("hash-r", user_id, blocked=True)] + mock_client, mock_db = _build_prisma_with_keys( + keys, mock_user=mock_user, updated_user=updated_user + ) + + patch_ops = SCIMPatchOp( + Operations=[SCIMPatchOperation(op="replace", path="active", value="True")] + ) + mock_scim_user = SCIMUser( + schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], + id=user_id, + userName=user_id, + name=SCIMUserName(familyName="X", givenName="Y"), + emails=[SCIMUserEmail(value="x@example.com")], + active=True, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user", + AsyncMock(return_value=mock_scim_user), + ), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + await patch_user(user_id=user_id, patch_ops=patch_ops) + + mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( + where={"user_id": user_id, "blocked": True}, + data={"blocked": False}, + ) + + +@pytest.mark.asyncio +async def test_scim_patch_user_no_active_change_does_not_touch_keys(): + """A patch that doesn't flip active must not call update_many on tokens.""" + user_id = "scim-user" + mock_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias="Old", + teams=[], + metadata={"scim_active": True}, + ) + updated_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias="New", + teams=[], + metadata={"scim_active": True, "scim_metadata": {}}, + ) + mock_client, mock_db = _build_prisma_with_keys( + user_keys=[], mock_user=mock_user, updated_user=updated_user + ) + + patch_ops = SCIMPatchOp( + Operations=[SCIMPatchOperation(op="replace", path="displayName", value="New")] + ) + mock_scim_user = SCIMUser( + schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], + id=user_id, + userName=user_id, + name=SCIMUserName(familyName="X", givenName="Y"), + emails=[SCIMUserEmail(value="x@example.com")], + active=True, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user", + AsyncMock(return_value=mock_scim_user), + ), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + await patch_user(user_id=user_id, patch_ops=patch_ops) + + mock_db.litellm_verificationtoken.find_many.assert_not_called() + mock_db.litellm_verificationtoken.update_many.assert_not_called() diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py index 2c143a0a9a3..2a2bed13bf4 100644 --- a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py +++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py @@ -42,6 +42,9 @@ async def test_patch_user_updates_fields(): mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user) mock_db.litellm_usertable.update = AsyncMock(side_effect=mock_update) mock_db.litellm_teamtable.find_unique = AsyncMock(return_value=None) + # active=False triggers cascading key-block. No keys here, so return []. + mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None) # Mock the transformation function to return a proper SCIMUser mock_scim_user = SCIMUser( @@ -194,6 +197,8 @@ async def test_patch_user_deprovision_without_path(): mock_client.db = mock_db mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user) mock_db.litellm_usertable.update = AsyncMock(side_effect=mock_update) + mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None) mock_scim_user = SCIMUser( schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], @@ -271,6 +276,8 @@ async def test_patch_user_multiple_fields_without_path(): mock_client.db = mock_db mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user) mock_db.litellm_usertable.update = AsyncMock(side_effect=mock_update) + mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None) mock_scim_user = SCIMUser( schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], From 9aef4ee695edb4a9da9611afeb1a4a36d4a76323 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Thu, 30 Apr 2026 05:45:09 +0000 Subject: [PATCH 006/160] fix(scim): treat NULL blocked column as unblocked when deprovisioning MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The Prisma schema declares LiteLLM_VerificationToken.blocked as a nullable Boolean with no default, so virtual keys created via the key management endpoint persist with blocked=NULL. SQL equality (`blocked = false`) never matches NULL rows, so the previous `where={'blocked': not blocked}` filter silently skipped virtually all real keys when SCIM tried to block them. This made SCIM deprovisioning a no-op — and especially dangerous in DELETE flows where the user row is removed afterwards, leaving orphaned but fully-functional keys. Match both `False` and `None` when blocking, and only `True` when unblocking, so the state flip (and cache invalidation) actually fires for the keys it should. --- .../out/{404.html => 404/index.html} | 0 .../{_not-found.html => _not-found/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{budgets.html => budgets/index.html} | 0 .../{caching.html => caching/index.html} | 0 .../index.html} | 0 .../{old-usage.html => old-usage/index.html} | 0 .../{prompts.html => prompts/index.html} | 0 .../index.html} | 0 .../{guardrails.html => guardrails/index.html} | 0 .../out/{login.html => login/index.html} | 0 .../out/{logs.html => logs/index.html} | 0 .../oauth/{callback.html => callback/index.html} | 0 .../out/{model-hub.html => model-hub/index.html} | 0 .../out/{model_hub.html => model_hub/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{onboarding.html => onboarding/index.html} | 0 .../index.html} | 0 .../{playground.html => playground/index.html} | 0 .../out/{policies.html => policies/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{ui-theme.html => ui-theme/index.html} | 0 .../out/{skills.html => skills/index.html} | 0 .../out/{teams.html => teams/index.html} | 0 .../out/{test-key.html => test-key/index.html} | 0 .../{mcp-servers.html => mcp-servers/index.html} | 0 .../index.html} | 0 .../out/{usage.html => usage/index.html} | 0 .../out/{users.html => users/index.html} | 0 .../index.html} | 0 .../proxy/management_endpoints/scim/scim_v2.py | 16 +++++++++++++--- .../scim/test_scim_key_deactivation.py | 15 ++++++++++++--- 36 files changed, 25 insertions(+), 6 deletions(-) rename litellm/proxy/_experimental/out/{404.html => 404/index.html} (100%) rename litellm/proxy/_experimental/out/{_not-found.html => _not-found/index.html} (100%) rename litellm/proxy/_experimental/out/{api-reference.html => api-reference/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{api-playground.html => api-playground/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{budgets.html => budgets/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{caching.html => caching/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{claude-code-plugins.html => claude-code-plugins/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{old-usage.html => old-usage/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{prompts.html => prompts/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{tag-management.html => tag-management/index.html} (100%) rename litellm/proxy/_experimental/out/{guardrails.html => guardrails/index.html} (100%) rename litellm/proxy/_experimental/out/{login.html => login/index.html} (100%) rename litellm/proxy/_experimental/out/{logs.html => logs/index.html} (100%) rename litellm/proxy/_experimental/out/mcp/oauth/{callback.html => callback/index.html} (100%) rename litellm/proxy/_experimental/out/{model-hub.html => model-hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub.html => model_hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub_table.html => model_hub_table/index.html} (100%) rename litellm/proxy/_experimental/out/{models-and-endpoints.html => models-and-endpoints/index.html} (100%) rename litellm/proxy/_experimental/out/{onboarding.html => onboarding/index.html} (100%) rename litellm/proxy/_experimental/out/{organizations.html => organizations/index.html} (100%) rename litellm/proxy/_experimental/out/{playground.html => playground/index.html} (100%) rename litellm/proxy/_experimental/out/{policies.html => policies/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{admin-settings.html => admin-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{logging-and-alerts.html => logging-and-alerts/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{router-settings.html => router-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{ui-theme.html => ui-theme/index.html} (100%) rename litellm/proxy/_experimental/out/{skills.html => skills/index.html} (100%) rename litellm/proxy/_experimental/out/{teams.html => teams/index.html} (100%) rename litellm/proxy/_experimental/out/{test-key.html => test-key/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{mcp-servers.html => mcp-servers/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{vector-stores.html => vector-stores/index.html} (100%) rename litellm/proxy/_experimental/out/{usage.html => usage/index.html} (100%) rename litellm/proxy/_experimental/out/{users.html => users/index.html} (100%) rename litellm/proxy/_experimental/out/{virtual-keys.html => virtual-keys/index.html} (100%) diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404/index.html similarity index 100% rename from litellm/proxy/_experimental/out/404.html rename to litellm/proxy/_experimental/out/404/index.html diff --git a/litellm/proxy/_experimental/out/_not-found.html b/litellm/proxy/_experimental/out/_not-found/index.html similarity index 100% rename from litellm/proxy/_experimental/out/_not-found.html rename to litellm/proxy/_experimental/out/_not-found/index.html diff --git a/litellm/proxy/_experimental/out/api-reference.html b/litellm/proxy/_experimental/out/api-reference/index.html similarity index 100% rename from litellm/proxy/_experimental/out/api-reference.html rename to litellm/proxy/_experimental/out/api-reference/index.html diff --git a/litellm/proxy/_experimental/out/experimental/api-playground.html b/litellm/proxy/_experimental/out/experimental/api-playground/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/api-playground.html rename to litellm/proxy/_experimental/out/experimental/api-playground/index.html diff --git a/litellm/proxy/_experimental/out/experimental/budgets.html b/litellm/proxy/_experimental/out/experimental/budgets/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/budgets.html rename to litellm/proxy/_experimental/out/experimental/budgets/index.html diff --git a/litellm/proxy/_experimental/out/experimental/caching.html b/litellm/proxy/_experimental/out/experimental/caching/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/caching.html rename to litellm/proxy/_experimental/out/experimental/caching/index.html diff --git a/litellm/proxy/_experimental/out/experimental/claude-code-plugins.html b/litellm/proxy/_experimental/out/experimental/claude-code-plugins/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/claude-code-plugins.html rename to litellm/proxy/_experimental/out/experimental/claude-code-plugins/index.html diff --git a/litellm/proxy/_experimental/out/experimental/old-usage.html b/litellm/proxy/_experimental/out/experimental/old-usage/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/old-usage.html rename to litellm/proxy/_experimental/out/experimental/old-usage/index.html diff --git a/litellm/proxy/_experimental/out/experimental/prompts.html b/litellm/proxy/_experimental/out/experimental/prompts/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/prompts.html rename to litellm/proxy/_experimental/out/experimental/prompts/index.html diff --git a/litellm/proxy/_experimental/out/experimental/tag-management.html b/litellm/proxy/_experimental/out/experimental/tag-management/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/tag-management.html rename to litellm/proxy/_experimental/out/experimental/tag-management/index.html diff --git a/litellm/proxy/_experimental/out/guardrails.html b/litellm/proxy/_experimental/out/guardrails/index.html similarity index 100% rename from litellm/proxy/_experimental/out/guardrails.html rename to litellm/proxy/_experimental/out/guardrails/index.html diff --git a/litellm/proxy/_experimental/out/login.html b/litellm/proxy/_experimental/out/login/index.html similarity index 100% rename from litellm/proxy/_experimental/out/login.html rename to litellm/proxy/_experimental/out/login/index.html diff --git a/litellm/proxy/_experimental/out/logs.html b/litellm/proxy/_experimental/out/logs/index.html similarity index 100% rename from litellm/proxy/_experimental/out/logs.html rename to litellm/proxy/_experimental/out/logs/index.html diff --git a/litellm/proxy/_experimental/out/mcp/oauth/callback.html b/litellm/proxy/_experimental/out/mcp/oauth/callback/index.html similarity index 100% rename from litellm/proxy/_experimental/out/mcp/oauth/callback.html rename to litellm/proxy/_experimental/out/mcp/oauth/callback/index.html diff --git a/litellm/proxy/_experimental/out/model-hub.html b/litellm/proxy/_experimental/out/model-hub/index.html similarity index 100% rename from litellm/proxy/_experimental/out/model-hub.html rename to litellm/proxy/_experimental/out/model-hub/index.html diff --git a/litellm/proxy/_experimental/out/model_hub.html b/litellm/proxy/_experimental/out/model_hub/index.html similarity index 100% rename from litellm/proxy/_experimental/out/model_hub.html rename to litellm/proxy/_experimental/out/model_hub/index.html diff --git a/litellm/proxy/_experimental/out/model_hub_table.html b/litellm/proxy/_experimental/out/model_hub_table/index.html similarity index 100% rename from litellm/proxy/_experimental/out/model_hub_table.html rename to litellm/proxy/_experimental/out/model_hub_table/index.html diff --git a/litellm/proxy/_experimental/out/models-and-endpoints.html b/litellm/proxy/_experimental/out/models-and-endpoints/index.html similarity index 100% rename from litellm/proxy/_experimental/out/models-and-endpoints.html rename to litellm/proxy/_experimental/out/models-and-endpoints/index.html diff --git a/litellm/proxy/_experimental/out/onboarding.html b/litellm/proxy/_experimental/out/onboarding/index.html similarity index 100% rename from litellm/proxy/_experimental/out/onboarding.html rename to litellm/proxy/_experimental/out/onboarding/index.html diff --git a/litellm/proxy/_experimental/out/organizations.html b/litellm/proxy/_experimental/out/organizations/index.html similarity index 100% rename from litellm/proxy/_experimental/out/organizations.html rename to litellm/proxy/_experimental/out/organizations/index.html diff --git a/litellm/proxy/_experimental/out/playground.html b/litellm/proxy/_experimental/out/playground/index.html similarity index 100% rename from litellm/proxy/_experimental/out/playground.html rename to litellm/proxy/_experimental/out/playground/index.html diff --git a/litellm/proxy/_experimental/out/policies.html b/litellm/proxy/_experimental/out/policies/index.html similarity index 100% rename from litellm/proxy/_experimental/out/policies.html rename to litellm/proxy/_experimental/out/policies/index.html diff --git a/litellm/proxy/_experimental/out/settings/admin-settings.html b/litellm/proxy/_experimental/out/settings/admin-settings/index.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/admin-settings.html rename to litellm/proxy/_experimental/out/settings/admin-settings/index.html diff --git a/litellm/proxy/_experimental/out/settings/logging-and-alerts.html b/litellm/proxy/_experimental/out/settings/logging-and-alerts/index.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/logging-and-alerts.html rename to litellm/proxy/_experimental/out/settings/logging-and-alerts/index.html diff --git a/litellm/proxy/_experimental/out/settings/router-settings.html b/litellm/proxy/_experimental/out/settings/router-settings/index.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/router-settings.html rename to litellm/proxy/_experimental/out/settings/router-settings/index.html diff --git a/litellm/proxy/_experimental/out/settings/ui-theme.html b/litellm/proxy/_experimental/out/settings/ui-theme/index.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/ui-theme.html rename to litellm/proxy/_experimental/out/settings/ui-theme/index.html diff --git a/litellm/proxy/_experimental/out/skills.html b/litellm/proxy/_experimental/out/skills/index.html similarity index 100% rename from litellm/proxy/_experimental/out/skills.html rename to litellm/proxy/_experimental/out/skills/index.html diff --git a/litellm/proxy/_experimental/out/teams.html b/litellm/proxy/_experimental/out/teams/index.html similarity index 100% rename from litellm/proxy/_experimental/out/teams.html rename to litellm/proxy/_experimental/out/teams/index.html diff --git a/litellm/proxy/_experimental/out/test-key.html b/litellm/proxy/_experimental/out/test-key/index.html similarity index 100% rename from litellm/proxy/_experimental/out/test-key.html rename to litellm/proxy/_experimental/out/test-key/index.html diff --git a/litellm/proxy/_experimental/out/tools/mcp-servers.html b/litellm/proxy/_experimental/out/tools/mcp-servers/index.html similarity index 100% rename from litellm/proxy/_experimental/out/tools/mcp-servers.html rename to litellm/proxy/_experimental/out/tools/mcp-servers/index.html diff --git a/litellm/proxy/_experimental/out/tools/vector-stores.html b/litellm/proxy/_experimental/out/tools/vector-stores/index.html similarity index 100% rename from litellm/proxy/_experimental/out/tools/vector-stores.html rename to litellm/proxy/_experimental/out/tools/vector-stores/index.html diff --git a/litellm/proxy/_experimental/out/usage.html b/litellm/proxy/_experimental/out/usage/index.html similarity index 100% rename from litellm/proxy/_experimental/out/usage.html rename to litellm/proxy/_experimental/out/usage/index.html diff --git a/litellm/proxy/_experimental/out/users.html b/litellm/proxy/_experimental/out/users/index.html similarity index 100% rename from litellm/proxy/_experimental/out/users.html rename to litellm/proxy/_experimental/out/users/index.html diff --git a/litellm/proxy/_experimental/out/virtual-keys.html b/litellm/proxy/_experimental/out/virtual-keys/index.html similarity index 100% rename from litellm/proxy/_experimental/out/virtual-keys.html rename to litellm/proxy/_experimental/out/virtual-keys/index.html diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py index 8f332dcf484..92c8dc344ae 100644 --- a/litellm/proxy/management_endpoints/scim/scim_v2.py +++ b/litellm/proxy/management_endpoints/scim/scim_v2.py @@ -351,15 +351,25 @@ async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: prisma_client = await _get_prisma_client_or_raise_exception() # Only flip keys whose current state differs — avoids touching keys that - # were already (un)blocked manually by an admin. + # were already (un)blocked manually by an admin. `blocked` is a nullable + # column with no default, so existing keys typically have `blocked=NULL`; + # we must treat NULL as "not blocked" so SQL equality on NULL doesn't + # silently skip them. + if blocked: + state_filter: Dict[str, Any] = {"OR": [{"blocked": False}, {"blocked": None}]} + else: + state_filter = {"blocked": True} + + where_clause: Dict[str, Any] = {"user_id": user_id, **state_filter} + affected_keys = await prisma_client.db.litellm_verificationtoken.find_many( - where={"user_id": user_id, "blocked": not blocked}, + where=where_clause, ) if not affected_keys: return 0 await prisma_client.db.litellm_verificationtoken.update_many( - where={"user_id": user_id, "blocked": not blocked}, + where=where_clause, data={"blocked": blocked}, ) diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py index 2b338d97165..e68aef9aeda 100644 --- a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py +++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py @@ -75,7 +75,10 @@ async def test_set_user_keys_blocked_flips_state_and_invalidates_cache(): assert flipped == 2 mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={"user_id": "user-x", "blocked": False}, + where={ + "user_id": "user-x", + "OR": [{"blocked": False}, {"blocked": None}], + }, data={"blocked": True}, ) assert sorted(cache_deletions) == ["hash-1", "hash-2"] @@ -129,7 +132,10 @@ async def test_scim_delete_user_blocks_keys_before_deleting_user(): assert response.status_code == 204 mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={"user_id": user_id, "blocked": False}, + where={ + "user_id": user_id, + "OR": [{"blocked": False}, {"blocked": None}], + }, data={"blocked": True}, ) mock_db.litellm_usertable.delete.assert_awaited_once_with( @@ -187,7 +193,10 @@ async def test_scim_patch_user_active_false_blocks_keys(): await patch_user(user_id=user_id, patch_ops=patch_ops) mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={"user_id": user_id, "blocked": False}, + where={ + "user_id": user_id, + "OR": [{"blocked": False}, {"blocked": None}], + }, data={"blocked": True}, ) From dc123d9f12d81244062761677e57dfa6c85931de Mon Sep 17 00:00:00 2001 From: Claude Date: Thu, 30 Apr 2026 06:22:35 +0000 Subject: [PATCH 007/160] test(vertex_batch): set is_redirect=False on mocked AsyncHTTPHandler responses MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The redirect-following added to async_safe_get checks response.is_redirect on every hop. Two vertex batch tests stub AsyncHTTPHandler.get with a bare MagicMock, whose default-truthy is_redirect made the redirect path fire, then crashed in httpx.URL().join() because headers.get('location') was also a MagicMock instead of a string. Set is_redirect=False explicitly so the mocked response models a non-redirect terminal response. Also tighten _extract_redirect_url to raise SSRFError on non-string Location values (defense-in-depth — a real httpx Response always returns str|None, but this avoids a confusing TypeError if anything else ever slips through). This is an unrelated CI fix piggybacked on the SCIM PR to unblock the batches test suite. --- litellm/litellm_core_utils/url_utils.py | 2 +- tests/batches_tests/test_openai_batches_and_files.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/litellm/litellm_core_utils/url_utils.py b/litellm/litellm_core_utils/url_utils.py index a65d0892aa2..aabf4e84a3b 100644 --- a/litellm/litellm_core_utils/url_utils.py +++ b/litellm/litellm_core_utils/url_utils.py @@ -205,7 +205,7 @@ _MAX_REDIRECTS = 10 def _extract_redirect_url(response: Any, request_url: str) -> str: """Extract and resolve the redirect target from a response's Location header.""" location = response.headers.get("location") - if not location: + if not isinstance(location, str) or not location: raise SSRFError("Redirect response has no Location header") # Resolve relative URLs against the request URL return str(httpx.URL(request_url).join(location)) diff --git a/tests/batches_tests/test_openai_batches_and_files.py b/tests/batches_tests/test_openai_batches_and_files.py index 0aed224c256..3f69aa01f9c 100644 --- a/tests/batches_tests/test_openai_batches_and_files.py +++ b/tests/batches_tests/test_openai_batches_and_files.py @@ -558,6 +558,7 @@ async def test_avertex_batch_prediction(monkeypatch): mock_get_response.json.return_value = mock_vertex_batch_response mock_get_response.status_code = 200 mock_get_response.raise_for_status.return_value = None + mock_get_response.is_redirect = False mock_get.return_value = mock_get_response retrieved_batch = await litellm.aretrieve_batch( @@ -590,6 +591,7 @@ async def test_vertex_list_batches(monkeypatch): mock_get_response.json.return_value = mock_vertex_list_response mock_get_response.status_code = 200 mock_get_response.raise_for_status.return_value = None + mock_get_response.is_redirect = False mock_get.return_value = mock_get_response list_response = await litellm.alist_batches( From bde3a98a552121eb54d94862da540a12069347aa Mon Sep 17 00:00:00 2001 From: harish-berri Date: Thu, 30 Apr 2026 18:13:03 +0000 Subject: [PATCH 008/160] feat(proxy): add support for Grafana Cloud Pyroscope authentication - Introduced optional environment variables `PYROSCOPE_GRAFANA_USER` and `PYROSCOPE_GRAFANA_API_TOKEN` for Grafana Cloud integration. - Updated documentation to reflect new configuration options for Pyroscope profiling. - Enhanced error handling to ensure both credentials are provided when using Grafana Cloud. - Added tests to validate Grafana Cloud authentication scenarios. --- docs/my-website/docs/proxy/config_settings.md | 2 + .../docs/proxy/pyroscope_profiling.md | 14 +++ litellm/proxy/proxy_server.py | 22 ++++- tests/test_litellm/proxy/test_pyroscope.py | 94 ++++++++++++++++++- 4 files changed, 130 insertions(+), 2 deletions(-) diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md index a886a754f5e..f7a2f0a7379 100644 --- a/docs/my-website/docs/proxy/config_settings.md +++ b/docs/my-website/docs/proxy/config_settings.md @@ -855,6 +855,8 @@ router_settings: | PYROSCOPE_APP_NAME | Application name reported to Pyroscope. Required when LITELLM_ENABLE_PYROSCOPE is true. No default. | PYROSCOPE_SERVER_ADDRESS | Pyroscope server URL to send profiles to. Required when LITELLM_ENABLE_PYROSCOPE is true. No default. | PYROSCOPE_SAMPLE_RATE | Optional. Sample rate for Pyroscope profiling (integer). No default; when unset, the pyroscope-io library default is used. +| PYROSCOPE_GRAFANA_USER | Optional. Grafana Cloud Pyroscope user/tenant ID for basic auth. Required when PYROSCOPE_GRAFANA_API_TOKEN is set. +| PYROSCOPE_GRAFANA_API_TOKEN | Optional. Grafana Cloud API/access policy token for Pyroscope basic auth. Required when PYROSCOPE_GRAFANA_USER is set. | LITELLM_MASTER_KEY | Master key for proxy authentication | LITELLM_MAX_BUDGET_PER_SESSION_TTL | TTL in seconds for session budget counters used by the max-budget-per-session limiter. Default is 3600 (1 hour) | LITELLM_MAX_ITERATIONS_TTL | TTL in seconds for session iteration counters used by the max-iterations limiter. Default is 3600 (1 hour) diff --git a/docs/my-website/docs/proxy/pyroscope_profiling.md b/docs/my-website/docs/proxy/pyroscope_profiling.md index 19d12ba24ea..ab6367903bb 100644 --- a/docs/my-website/docs/proxy/pyroscope_profiling.md +++ b/docs/my-website/docs/proxy/pyroscope_profiling.md @@ -24,6 +24,8 @@ LiteLLM proxy can send continuous CPU profiles to [Grafana Pyroscope](https://gr | `PYROSCOPE_APP_NAME` | Yes (when enabled) | Application name shown in the Pyroscope UI. | | `PYROSCOPE_SERVER_ADDRESS` | Yes (when enabled) | Pyroscope server URL (e.g. `http://localhost:4040`). | | `PYROSCOPE_SAMPLE_RATE` | No | Sample rate (integer). If unset, the pyroscope-io library default is used. | + | `PYROSCOPE_GRAFANA_USER` | No | Grafana Cloud Pyroscope user/tenant ID. Required when `PYROSCOPE_GRAFANA_API_TOKEN` is set. | + | `PYROSCOPE_GRAFANA_API_TOKEN` | No | Grafana Cloud API/access policy token. Used as the Pyroscope basic auth password. | 3. **Start the proxy**; profiling will begin automatically when the proxy starts. @@ -34,6 +36,18 @@ LiteLLM proxy can send continuous CPU profiles to [Grafana Pyroscope](https://gr litellm --config config.yaml ``` + For Grafana Cloud Pyroscope, use the Profiles endpoint as `PYROSCOPE_SERVER_ADDRESS` + and set the Grafana Cloud credentials: + + ```bash + export LITELLM_ENABLE_PYROSCOPE=true + export PYROSCOPE_APP_NAME=litellm-proxy + export PYROSCOPE_SERVER_ADDRESS=https://profiles-prod-.grafana.net + export PYROSCOPE_GRAFANA_USER= + export PYROSCOPE_GRAFANA_API_TOKEN= + litellm --config config.yaml + ``` + 4. **View profiles** in the Pyroscope (or Grafana) UI and select your `PYROSCOPE_APP_NAME`. ## Notes diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 00c2cf9e3d6..073f2ad2d03 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -7001,6 +7001,7 @@ class ProxyStartupEvent: Requires: pip install pyroscope-io (optional dependency). When enabled, PYROSCOPE_SERVER_ADDRESS and PYROSCOPE_APP_NAME are required (no defaults). Optional: PYROSCOPE_SAMPLE_RATE (parsed as integer) to set the sample rate. + Optional: PYROSCOPE_GRAFANA_USER and PYROSCOPE_GRAFANA_API_TOKEN for Grafana Cloud basic auth. """ if not get_secret_bool("LITELLM_ENABLE_PYROSCOPE", False): verbose_proxy_logger.debug( @@ -7029,11 +7030,30 @@ class ProxyStartupEvent: if env_name: tags["environment"] = env_name sample_rate_env = os.getenv("PYROSCOPE_SAMPLE_RATE") + grafana_pyroscope_user = get_secret_str( + "PYROSCOPE_GRAFANA_USER", default_value=None + ) + grafana_api_token = get_secret_str( + "PYROSCOPE_GRAFANA_API_TOKEN", default_value=None + ) + if grafana_api_token and not grafana_pyroscope_user: + raise ValueError( + "PYROSCOPE_GRAFANA_API_TOKEN is set but PYROSCOPE_GRAFANA_USER is not set. " + "Set PYROSCOPE_GRAFANA_USER to the Grafana Cloud Pyroscope user/tenant id." + ) + if grafana_pyroscope_user and not grafana_api_token: + raise ValueError( + "PYROSCOPE_GRAFANA_USER is set but PYROSCOPE_GRAFANA_API_TOKEN is not set. " + "Set PYROSCOPE_GRAFANA_API_TOKEN to the Grafana Cloud API/access policy token." + ) configure_kwargs = { - "app_name": app_name, + "application_name": app_name, "server_address": server_address, "tags": tags if tags else None, } + if grafana_api_token and grafana_pyroscope_user: + configure_kwargs["basic_auth_username"] = grafana_pyroscope_user + configure_kwargs["basic_auth_password"] = grafana_api_token if sample_rate_env is not None: try: # pyroscope-io expects sample_rate as an integer diff --git a/tests/test_litellm/proxy/test_pyroscope.py b/tests/test_litellm/proxy/test_pyroscope.py index e7b16125dc1..fc2499101ca 100644 --- a/tests/test_litellm/proxy/test_pyroscope.py +++ b/tests/test_litellm/proxy/test_pyroscope.py @@ -103,6 +103,8 @@ def test_init_pyroscope_raises_when_sample_rate_invalid(): "PYROSCOPE_APP_NAME": "myapp", "PYROSCOPE_SERVER_ADDRESS": "http://localhost:4040", "PYROSCOPE_SAMPLE_RATE": "not-a-number", + "PYROSCOPE_GRAFANA_API_TOKEN": "", + "PYROSCOPE_GRAFANA_USER": "", }, clear=False, ), @@ -130,6 +132,8 @@ def test_init_pyroscope_accepts_integer_sample_rate(): "PYROSCOPE_APP_NAME": "myapp", "PYROSCOPE_SERVER_ADDRESS": "http://localhost:4040", "PYROSCOPE_SAMPLE_RATE": "100", + "PYROSCOPE_GRAFANA_API_TOKEN": "", + "PYROSCOPE_GRAFANA_USER": "", }, clear=False, ), @@ -137,7 +141,7 @@ def test_init_pyroscope_accepts_integer_sample_rate(): ProxyStartupEvent._init_pyroscope() mock_pyroscope.configure.assert_called_once() call_kw = mock_pyroscope.configure.call_args[1] - assert call_kw["app_name"] == "myapp" + assert call_kw["application_name"] == "myapp" assert call_kw["server_address"] == "http://localhost:4040" assert call_kw["sample_rate"] == 100 @@ -161,6 +165,8 @@ def test_init_pyroscope_accepts_float_sample_rate_parsed_as_int(): "PYROSCOPE_APP_NAME": "myapp", "PYROSCOPE_SERVER_ADDRESS": "http://localhost:4040", "PYROSCOPE_SAMPLE_RATE": "100.7", + "PYROSCOPE_GRAFANA_API_TOKEN": "", + "PYROSCOPE_GRAFANA_USER": "", }, clear=False, ), @@ -168,3 +174,89 @@ def test_init_pyroscope_accepts_float_sample_rate_parsed_as_int(): ProxyStartupEvent._init_pyroscope() call_kw = mock_pyroscope.configure.call_args[1] assert call_kw["sample_rate"] == 100 + + +def test_init_pyroscope_configures_grafana_cloud_basic_auth(): + """When Grafana Cloud credentials are set, passes them as Pyroscope basic auth.""" + mock_pyroscope = _mock_pyroscope_module() + with ( + patch( + "litellm.proxy.proxy_server.get_secret_bool", + return_value=True, + ), + patch.dict( + sys.modules, + {"pyroscope": mock_pyroscope}, + ), + patch.dict( + os.environ, + { + "LITELLM_ENABLE_PYROSCOPE": "true", + "PYROSCOPE_APP_NAME": "myapp", + "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", + "PYROSCOPE_GRAFANA_USER": "123456", + "PYROSCOPE_GRAFANA_API_TOKEN": "glc_test_token", + }, + clear=False, + ), + ): + ProxyStartupEvent._init_pyroscope() + call_kw = mock_pyroscope.configure.call_args[1] + assert call_kw["basic_auth_username"] == "123456" + assert call_kw["basic_auth_password"] == "glc_test_token" + + +def test_init_pyroscope_raises_when_grafana_token_missing_user(): + """When Grafana token is set without a Pyroscope user, raises ValueError.""" + mock_pyroscope = _mock_pyroscope_module() + with ( + patch( + "litellm.proxy.proxy_server.get_secret_bool", + return_value=True, + ), + patch.dict( + sys.modules, + {"pyroscope": mock_pyroscope}, + ), + patch.dict( + os.environ, + { + "LITELLM_ENABLE_PYROSCOPE": "true", + "PYROSCOPE_APP_NAME": "myapp", + "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", + "PYROSCOPE_GRAFANA_USER": "", + "PYROSCOPE_GRAFANA_API_TOKEN": "glc_test_token", + }, + clear=False, + ), + ): + with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_USER"): + ProxyStartupEvent._init_pyroscope() + + +def test_init_pyroscope_raises_when_grafana_user_missing_token(): + """When Grafana Pyroscope user is set without a token, raises ValueError.""" + mock_pyroscope = _mock_pyroscope_module() + with ( + patch( + "litellm.proxy.proxy_server.get_secret_bool", + return_value=True, + ), + patch.dict( + sys.modules, + {"pyroscope": mock_pyroscope}, + ), + patch.dict( + os.environ, + { + "LITELLM_ENABLE_PYROSCOPE": "true", + "PYROSCOPE_APP_NAME": "myapp", + "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", + "PYROSCOPE_GRAFANA_USER": "123456", + "PYROSCOPE_GRAFANA_API_TOKEN": "", + }, + clear=False, + ), + ): + with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_API_TOKEN"): + ProxyStartupEvent._init_pyroscope() From c8325ff0072f471a4024647511679da3ce196414 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 11:52:47 -0700 Subject: [PATCH 009/160] chore(proxy): guard sensitive public endpoints --- litellm/proxy/_types.py | 1 - litellm/proxy/auth/user_api_key_auth.py | 36 +++++++++- litellm/proxy/common_utils/debug_utils.py | 17 ++++- .../health_endpoints/_health_endpoints.py | 37 ++++++++--- .../middleware/prometheus_auth_middleware.py | 23 ++++++- .../public_endpoints/public_endpoints.py | 48 ++++++++++++-- .../spend_management_endpoints.py | 6 +- .../proxy_setting_endpoints.py | 1 + .../test_spend_accuracy_tests.py | 6 +- tests/test_health.py | 1 - .../proxy/auth/test_user_api_key_auth.py | 53 ++++++++++++--- .../health_endpoints/test_health_endpoints.py | 65 +++++++++---------- .../test_prometheus_auth_middleware.py | 23 ++++++- .../public_endpoints/test_public_endpoints.py | 58 ++++++++++++++--- .../proxy/test_sensitive_route_auth.py | 34 ++++++++++ .../test_proxy_setting_endpoints.py | 37 +++++++++++ 16 files changed, 362 insertions(+), 84 deletions(-) create mode 100644 tests/test_litellm/proxy/test_sensitive_route_auth.py diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index fd4d4df2410..e3b7b3a1164 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -611,7 +611,6 @@ class LiteLLMRoutes(enum.Enum): "/", "/health/liveliness", "/health/liveness", - "/health/readiness", "/test", "/config/yaml", "/metrics", diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index f0c2a4514fd..49cc1b3b2cf 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -86,6 +86,36 @@ except ImportError as e: user_api_key_service_logger_obj = ServiceLogging() # used for tracking latency on OTEL +_PUBLIC_AI_HUB_ROUTES = frozenset( + { + "/public/model_hub", + "/public/model_hub/info", + "/public/agent_hub", + "/public/mcp_hub", + "/public/skill_hub", + } +) + + +def _normalize_public_auth_route(route: str) -> str: + if route != "/" and route.endswith("/"): + return route.rstrip("/") + return route + + +def _route_requires_auth_despite_public( + route: str, general_settings: Optional[dict] +) -> bool: + normalized_route = _normalize_public_auth_route(route) + if normalized_route == "/metrics": + return litellm.require_auth_for_metrics_endpoint is True + + if normalized_route in _PUBLIC_AI_HUB_ROUTES: + return (general_settings or {}).get("require_auth_for_public_ai_hub") is True + + return False + + custom_litellm_key_header = APIKeyHeader( name=SpecialHeaders.custom_litellm_api_key.value, auto_error=False, @@ -685,7 +715,9 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 """ ######## Route Checks Before Reading DB / Cache for "token" ################ - if ( + if not _route_requires_auth_despite_public( + route=route, general_settings=general_settings + ) and ( route in LiteLLMRoutes.public_routes.value # type: ignore or route_in_additonal_public_routes(current_route=route) ): @@ -1639,7 +1671,7 @@ async def _run_centralized_common_checks( user_custom_auth, ) - # Public routes (e.g. /health/readiness, /metrics) are exempt from + # Public routes (e.g. /health/liveness, /metrics) are exempt from # auth in the builder — the wrapper must not retroactively apply # authz on top, or k8s readiness probes and other unauthenticated # callers get 401. diff --git a/litellm/proxy/common_utils/debug_utils.py b/litellm/proxy/common_utils/debug_utils.py index 99eeeda1c86..9b2c3ddce46 100644 --- a/litellm/proxy/common_utils/debug_utils.py +++ b/litellm/proxy/common_utils/debug_utils.py @@ -50,7 +50,10 @@ def configure_gc_thresholds(): configure_gc_thresholds() -@router.get("/debug/asyncio-tasks") +@router.get( + "/debug/asyncio-tasks", + dependencies=[Depends(user_api_key_auth)], +) async def get_active_tasks_stats(): """ Returns: @@ -103,7 +106,11 @@ if os.environ.get("LITELLM_PROFILE", "false").lower() == "true": tracemalloc.start(10) - @router.get("/memory-usage", include_in_schema=False) + @router.get( + "/memory-usage", + dependencies=[Depends(user_api_key_auth)], + include_in_schema=False, + ) async def memory_usage(): # Take a snapshot of the current memory usage snapshot = tracemalloc.take_snapshot() @@ -711,7 +718,11 @@ async def configure_gc_thresholds_endpoint( } -@router.get("/otel-spans", include_in_schema=False) +@router.get( + "/otel-spans", + dependencies=[Depends(user_api_key_auth)], + include_in_schema=False, +) async def get_otel_spans(): from litellm.proxy.proxy_server import open_telemetry_logger diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py index b4b5de1746e..6387d1b546f 100644 --- a/litellm/proxy/health_endpoints/_health_endpoints.py +++ b/litellm/proxy/health_endpoints/_health_endpoints.py @@ -1237,14 +1237,9 @@ def callback_name(callback): return str(callback) -@router.get( - "/health/readiness", - tags=["health"], - dependencies=[Depends(user_api_key_auth)], -) -async def health_readiness(): +async def _get_health_readiness_details() -> Dict[str, Any]: """ - Unprotected endpoint for checking if worker can receive requests + Detailed health payload for authenticated diagnostics. """ from litellm.proxy.proxy_server import prisma_client, version @@ -1263,7 +1258,7 @@ async def health_readiness(): success_callback_names = litellm.success_callback # check Cache - cache_type = None + cache_type: Any = None if litellm.cache is not None: from litellm.caching.caching import RedisSemanticCache @@ -1272,6 +1267,7 @@ async def health_readiness(): if isinstance(litellm.cache.cache, RedisSemanticCache): # ping the cache # TODO: @ishaan-jaff - we should probably not ping the cache on every /health/readiness check + index_info: Any try: index_info = await litellm.cache.cache._index_info() except Exception as e: @@ -1310,6 +1306,30 @@ async def health_readiness(): raise HTTPException(status_code=503, detail=f"Service Unhealthy ({str(e)})") +@router.get( + "/health/readiness", + tags=["health"], +) +async def health_readiness(): + """ + Public readiness probe. Keep this low-detail for unauthenticated load + balancers while preserving the existing unauthenticated probe contract. + """ + return {"status": "healthy"} + + +@router.get( + "/health/readiness/details", + tags=["health"], + dependencies=[Depends(user_api_key_auth)], +) +async def health_readiness_details(): + """ + Authenticated readiness diagnostics with DB/cache/callback metadata. + """ + return await _get_health_readiness_details() + + @router.get( "/health/backlog", tags=["health"], @@ -1345,7 +1365,6 @@ async def health_liveliness(): @router.options( "/health/readiness", tags=["health"], - dependencies=[Depends(user_api_key_auth)], ) async def health_readiness_options(): """ diff --git a/litellm/proxy/middleware/prometheus_auth_middleware.py b/litellm/proxy/middleware/prometheus_auth_middleware.py index 6bdff59da52..529076ea478 100644 --- a/litellm/proxy/middleware/prometheus_auth_middleware.py +++ b/litellm/proxy/middleware/prometheus_auth_middleware.py @@ -42,10 +42,29 @@ class PrometheusAuthMiddleware: if litellm.require_auth_for_metrics_endpoint is True: # Construct Request only when auth is actually needed request = Request(scope, receive) - api_key = request.headers.get(_AUTHORIZATION_HEADER) or "" try: - await user_api_key_auth(request=request, api_key=api_key) + await user_api_key_auth( + request=request, + api_key=request.headers.get(_AUTHORIZATION_HEADER) or "", + azure_api_key_header=request.headers.get( + SpecialHeaders.azure_authorization.value + ) + or "", + anthropic_api_key_header=request.headers.get( + SpecialHeaders.anthropic_authorization.value + ), + google_ai_studio_api_key_header=request.headers.get( + SpecialHeaders.google_ai_studio_authorization.value + ), + azure_apim_header=request.headers.get( + SpecialHeaders.azure_apim_authorization.value + ) + or "", + custom_litellm_key_header=request.headers.get( + SpecialHeaders.custom_litellm_api_key.value + ), + ) except Exception as e: # Send 401 response directly via ASGI protocol error_message = getattr(e, "message", str(e)) diff --git a/litellm/proxy/public_endpoints/public_endpoints.py b/litellm/proxy/public_endpoints/public_endpoints.py index d6ce454682e..dceee418198 100644 --- a/litellm/proxy/public_endpoints/public_endpoints.py +++ b/litellm/proxy/public_endpoints/public_endpoints.py @@ -5,7 +5,7 @@ from importlib.resources import files from typing import Any, Dict, List, Optional import litellm -from fastapi import APIRouter, Depends, HTTPException +from fastapi import APIRouter, Depends, HTTPException, Request from litellm._logging import verbose_logger from litellm.litellm_core_utils.get_blog_posts import ( @@ -14,7 +14,12 @@ from litellm.litellm_core_utils.get_blog_posts import ( GetBlogPosts, get_blog_posts, ) -from litellm.proxy._types import CommonProxyErrors +from litellm.proxy._types import ( + CommonProxyErrors, + LitellmUserRoles, + SpecialHeaders, + UserAPIKeyAuth, +) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.types.agents import AgentCard from litellm.types.mcp import MCPPublicServer @@ -31,6 +36,37 @@ from litellm.types.utils import LlmProviders router = APIRouter() + +async def public_ai_hub_auth_dependency(request: Request) -> UserAPIKeyAuth: + from litellm.proxy.proxy_server import general_settings + + if (general_settings or {}).get("require_auth_for_public_ai_hub") is True: + return await user_api_key_auth( + request=request, + api_key=request.headers.get(SpecialHeaders.openai_authorization.value) + or "", + azure_api_key_header=request.headers.get( + SpecialHeaders.azure_authorization.value + ) + or "", + anthropic_api_key_header=request.headers.get( + SpecialHeaders.anthropic_authorization.value + ), + google_ai_studio_api_key_header=request.headers.get( + SpecialHeaders.google_ai_studio_authorization.value + ), + azure_apim_header=request.headers.get( + SpecialHeaders.azure_apim_authorization.value + ) + or "", + custom_litellm_key_header=request.headers.get( + SpecialHeaders.custom_litellm_api_key.value + ), + ) + + return UserAPIKeyAuth(user_role=LitellmUserRoles.INTERNAL_USER_VIEW_ONLY) + + # --------------------------------------------------------------------------- # /public/endpoints — helpers # --------------------------------------------------------------------------- @@ -153,7 +189,7 @@ def _load_endpoints() -> List[Dict[str, Any]]: @router.get( "/public/model_hub", tags=["public", "model management"], - dependencies=[Depends(user_api_key_auth)], + dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=List[ModelGroupInfoProxy], ) async def public_model_hub(): @@ -208,7 +244,7 @@ async def public_model_hub(): @router.get( "/public/agent_hub", tags=["[beta] Agents", "public"], - dependencies=[Depends(user_api_key_auth)], + dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=List[AgentCard], ) async def get_agents(): @@ -230,7 +266,7 @@ async def get_agents(): @router.get( "/public/mcp_hub", tags=["[beta] MCP", "public"], - dependencies=[Depends(user_api_key_auth)], + dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=List[MCPPublicServer], ) async def get_mcp_servers(): @@ -250,6 +286,7 @@ async def get_mcp_servers(): @router.get( "/public/skill_hub", tags=["public", "Claude Code Marketplace"], + dependencies=[Depends(public_ai_hub_auth_dependency)], ) async def public_skill_hub(): """Return enabled (public) Claude Code skills — no auth required.""" @@ -296,6 +333,7 @@ async def public_skill_hub(): @router.get( "/public/model_hub/info", tags=["public", "model management"], + dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=PublicModelHubInfo, ) async def public_model_hub_info(): diff --git a/litellm/proxy/spend_tracking/spend_management_endpoints.py b/litellm/proxy/spend_tracking/spend_management_endpoints.py index 4b8b341a4bf..d030fabe8b5 100644 --- a/litellm/proxy/spend_tracking/spend_management_endpoints.py +++ b/litellm/proxy/spend_tracking/spend_management_endpoints.py @@ -3079,7 +3079,11 @@ async def global_spend_models( return response -@router.get("/provider/budgets", response_model=ProviderBudgetResponse) +@router.get( + "/provider/budgets", + dependencies=[Depends(user_api_key_auth)], + response_model=ProviderBudgetResponse, +) async def provider_budgets() -> ProviderBudgetResponse: """ Provider Budget Routing - Get Budget, Spend Details https://docs.litellm.ai/docs/proxy/provider_budget_routing diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index eed4f076467..7354971e527 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -183,6 +183,7 @@ ALLOWED_UI_SETTINGS_FIELDS = { # Flags that must be synced from the persisted UISettings into # general_settings at runtime (on both read and write). _RUNTIME_GENERAL_SETTINGS_FLAGS = [ + "require_auth_for_public_ai_hub", "forward_client_headers_to_llm_api", "forward_llm_provider_auth_headers", "disable_agents_for_internal_users", diff --git a/tests/spend_tracking_tests/test_spend_accuracy_tests.py b/tests/spend_tracking_tests/test_spend_accuracy_tests.py index 15e00d93356..b50afeb843a 100644 --- a/tests/spend_tracking_tests/test_spend_accuracy_tests.py +++ b/tests/spend_tracking_tests/test_spend_accuracy_tests.py @@ -128,8 +128,8 @@ async def get_spend_info(session, entity_type: str, entity_id: str): async def get_proxy_readiness(session): - """Fetch /health/readiness. Used both as a fail-fast gate and as a diagnostic on poll timeout.""" - url = "http://0.0.0.0:4000/health/readiness" + """Fetch authenticated readiness details. Used both as a fail-fast gate and as a diagnostic on poll timeout.""" + url = "http://0.0.0.0:4000/health/readiness/details" headers = {"Authorization": "Bearer sk-1234"} async with session.get(url, headers=headers) as response: return response.status, await response.json() @@ -140,7 +140,7 @@ async def assert_proxy_healthy(session): status, body = await get_proxy_readiness(session) if status != 200 or body.get("db") != "connected": pytest.fail( - f"Proxy /health/readiness unhealthy (status={status}). " + f"Proxy /health/readiness/details unhealthy (status={status}). " f"Cannot run spend accuracy test. Response: {body}" ) print(f"Proxy readiness OK: {body}") diff --git a/tests/test_health.py b/tests/test_health.py index 00f095022b9..39c249370fa 100644 --- a/tests/test_health.py +++ b/tests/test_health.py @@ -73,7 +73,6 @@ async def test_health_readiness(): response_json = await response.json() print(response_json) - assert "litellm_version" in response_json assert "status" in response_json if status != 200: diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index 08f4bd0ebff..ae5d01dc2a6 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -11,6 +11,7 @@ sys.path.insert( import pytest +import litellm import litellm.proxy.proxy_server from litellm.caching.dual_cache import DualCache from litellm.proxy._types import ( @@ -25,6 +26,7 @@ from litellm.proxy._types import ( from litellm.proxy.auth.handle_jwt import JWTHandler from litellm.proxy.auth.route_checks import RouteChecks from litellm.proxy.auth.user_api_key_auth import ( + _route_requires_auth_despite_public, _run_centralized_common_checks, _run_post_custom_auth_checks, get_api_key, @@ -49,6 +51,32 @@ def test_get_api_key(): ) == (api_key, passed_in_key) +def test_route_requires_auth_despite_public_for_metrics(monkeypatch): + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True) + + assert _route_requires_auth_despite_public("/metrics", {}) is True + assert _route_requires_auth_despite_public("/metrics/", {}) is True + + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", False) + + assert _route_requires_auth_despite_public("/metrics", {}) is False + + +def test_route_requires_auth_despite_public_for_public_ai_hub(): + settings = {"require_auth_for_public_ai_hub": True} + + assert _route_requires_auth_despite_public("/public/model_hub", settings) is True + assert _route_requires_auth_despite_public("/public/model_hub/", settings) is True + assert ( + _route_requires_auth_despite_public("/public/model_hub/info", settings) is True + ) + assert _route_requires_auth_despite_public("/public/agent_hub", settings) is True + assert _route_requires_auth_despite_public("/public/mcp_hub", settings) is True + assert _route_requires_auth_despite_public("/public/skill_hub", settings) is True + + assert _route_requires_auth_despite_public("/public/model_hub", {}) is False + + @pytest.mark.asyncio async def test_custom_auth_does_not_enforce_key_model_access_by_default(): valid_token = UserAPIKeyAuth(token="test_token", models=["gpt-4o-mini"]) @@ -1752,7 +1780,11 @@ async def test_team_metadata_refreshed_from_team_object_during_auth(): from starlette.datastructures import URL from starlette.requests import Request - from litellm.proxy._types import LiteLLM_TeamTableCachedObj, LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy._types import ( + LiteLLM_TeamTableCachedObj, + LitellmUserRoles, + UserAPIKeyAuth, + ) from litellm.proxy.auth.user_api_key_auth import _user_api_key_auth_builder api_key = "sk-test-team-metadata-refresh" @@ -1833,16 +1865,17 @@ async def test_team_metadata_refreshed_from_team_object_during_auth(): request_data={}, ) - assert result.team_metadata == {"guardrails": ["test-guardrail-333"]}, ( - f"team_metadata was not updated from fresh team object. Got: {result.team_metadata}" - ) + assert result.team_metadata == { + "guardrails": ["test-guardrail-333"] + }, f"team_metadata was not updated from fresh team object. Got: {result.team_metadata}" finally: for k, v in _originals.items(): setattr(_proxy_server_mod, k, v) - + + # --------------------------------------------------------------------------- - + # _run_centralized_common_checks — centralized authz gate # --------------------------------------------------------------------------- @@ -2161,18 +2194,18 @@ async def test_centralized_common_checks_short_circuits_when_master_key_unset(): @pytest.mark.asyncio async def test_centralized_common_checks_skips_public_routes(): - """Regression: public routes (e.g. /health/readiness) are exempted + """Regression: public routes (e.g. /health/liveness) are exempted by the builder fast-path. The wrapper must not retroactively run common_checks on top — the synthetic INTERNAL_USER_VIEW_ONLY token has no user_id, so common_checks would reject the request as - admin-only. Breaks k8s readiness probes when master_key is set.""" + admin-only.""" import litellm.proxy.proxy_server as _proxy_server_mod from fastapi import Request from starlette.datastructures import URL token = UserAPIKeyAuth(user_role=LitellmUserRoles.INTERNAL_USER_VIEW_ONLY) request = Request(scope={"type": "http"}) - request._url = URL(url="/health/readiness") + request._url = URL(url="/health/liveness") attrs = _proxy_attrs_for_centralized_checks(user_custom_auth=None) originals = {a: getattr(_proxy_server_mod, a, None) for a in attrs} @@ -2187,7 +2220,7 @@ async def test_centralized_common_checks_skips_public_routes(): user_api_key_auth_obj=token, request=request, request_data={}, - route="/health/readiness", + route="/health/liveness", ) mock_checks.assert_not_awaited() finally: diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py index ba260142351..d3c22ad6091 100644 --- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py +++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py @@ -11,10 +11,14 @@ sys.path.insert( import httpx import pytest +from fastapi import FastAPI +from fastapi.testclient import TestClient from prisma.errors import ClientNotConnectedError, HTTPClientClosedError, PrismaError import litellm.proxy.health_endpoints._health_endpoints as _health_endpoints_module +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth +from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.health_endpoints._health_endpoints import ( _db_health_readiness_check, get_callback_identifier, @@ -512,7 +516,7 @@ def proxy_client(monkeypatch): Redis cache: - If REDIS_HOST is set in environment, Redis cache will be automatically configured - - Cache configuration is included in /health/readiness endpoint response + - Cache diagnostics are included in the authenticated /health/readiness/details response """ client = create_proxy_test_client(monkeypatch) with client: @@ -588,11 +592,7 @@ def test_health_liveness_endpoint(proxy_client): def test_health_readiness(proxy_client): """ Test /health/readiness endpoint. - Database and Redis are optional - the endpoint should work whether they're available or not. - - If DATABASE_URL is set, the endpoint will check database connectivity. - If REDIS_HOST is set, the endpoint will report cache status. - If neither is set, the endpoint should still return a valid health status. + Database and Redis are optional - the public endpoint should work whether they're available or not. """ # Measure the time taken for the health check call start_time = time.perf_counter() @@ -614,40 +614,33 @@ def test_health_readiness(proxy_client): duration_ms < 500 ), f"Health check took {duration_ms:.2f}ms, expected < 500ms for readiness endpoint" - # Assert response contains expected fields + # Assert response contains only low-detail public probe fields response_data = response.json() - assert "status" in response_data, "Response should contain 'status' field" - assert ( - "litellm_version" in response_data - ), "Response should contain 'litellm_version' field" - - # Display all health endpoint response fields (matches what /health/readiness returns) - print("\n" + "-" * 60) - print("HEALTH ENDPOINT RESPONSE") - print("-" * 60) - print(f"Status: {response_data.get('status', 'unknown')}") - print(f"Database: {response_data.get('db', 'not reported')}") - print(f"LiteLLM Version: {response_data.get('litellm_version', 'unknown')}") - print(f"Success Callbacks: {response_data.get('success_callbacks', [])}") - print(f"Cache: {response_data.get('cache', 'none')}") - print( - f"Use AioHTTP Transport: {response_data.get('use_aiohttp_transport', 'unknown')}" - ) + assert response_data == {"status": "healthy"} print(f"Response time: {duration_ms:.2f}ms") - # If database status is reported, verify it's a valid status - # Database may be "connected", "disconnected", "unknown", or "Not connected" (when prisma_client is None) - if "db" in response_data: - db_status = response_data["db"] - # Database status can be any of these valid states - assert db_status in [ - "connected", - "disconnected", - "unknown", - "Not connected", - ], f"Unexpected db status: {db_status}" - print("=" * 60 + "\n") +def test_health_readiness_details_returns_diagnostic_fields(monkeypatch): + """ + Detailed readiness diagnostics stay available behind the auth dependency. + """ + app = FastAPI() + app.include_router(_health_endpoints_module.router) + app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN + ) + client = TestClient(app) + + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None) + + response = client.get("/health/readiness/details") + + assert response.status_code == 200, response.text + response_data = response.json() + assert response_data["status"] == "healthy" + assert "litellm_version" in response_data + assert "success_callbacks" in response_data + assert "cache" in response_data def test_get_callback_identifier_string_and_object_with_callback_name(): diff --git a/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py b/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py index 9fd244d9c3f..d2804250303 100644 --- a/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py +++ b/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py @@ -21,12 +21,12 @@ from litellm.proxy.middleware.prometheus_auth_middleware import PrometheusAuthMi # Fake auth functions to simulate valid and invalid auth behavior. -async def fake_valid_auth(request, api_key): +async def fake_valid_auth(request, api_key, **kwargs): # Simulate valid authentication: do nothing (i.e. pass) return -async def fake_invalid_auth(request, api_key): +async def fake_invalid_auth(request, api_key, **kwargs): print("running fake invalid auth", request, api_key) # Simulate invalid auth by raising an exception. raise Exception("Invalid API key") @@ -107,6 +107,25 @@ def test_invalid_auth_metrics(app_with_middleware, monkeypatch): assert "Unauthorized access to metrics endpoint" in response.text +def test_metrics_auth_uses_real_auth_when_route_is_public( + app_with_middleware, monkeypatch +): + """ + Regression: /metrics is statically public, but require_auth_for_metrics_endpoint + must still force the real auth path. + """ + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True) + monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") + monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {}) + + client = TestClient(app_with_middleware) + + response = client.get("/metrics") + + assert response.status_code == 401, response.text + assert "Unauthorized access to metrics endpoint" in response.text + + def test_no_auth_metrics_when_disabled(app_with_middleware, monkeypatch): """ Test that when require_auth_for_metrics_endpoint is False, requests to /metrics diff --git a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py index a65462d3f9b..68ff88d60f6 100644 --- a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py +++ b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py @@ -9,9 +9,15 @@ sys.path.insert(0, os.path.abspath("../../..")) from fastapi import FastAPI from fastapi.testclient import TestClient +from starlette.datastructures import URL +from starlette.requests import Request +from litellm.proxy._types import ProxyException from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.public_endpoints import router +from litellm.proxy.public_endpoints.public_endpoints import ( + public_ai_hub_auth_dependency, +) from litellm.types.proxy.management_endpoints.model_management_endpoints import ( ModelGroupInfoProxy, ) @@ -91,6 +97,40 @@ def test_get_litellm_model_cost_map_returns_cost_map(): ) +def test_public_ai_hub_info_stays_public_by_default(monkeypatch): + app = FastAPI() + app.include_router(router) + client = TestClient(app) + + monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {}) + monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") + + response = client.get("/public/model_hub/info") + + assert response.status_code == 200, response.text + + +@pytest.mark.asyncio +async def test_public_ai_hub_info_requires_auth_when_configured(monkeypatch): + monkeypatch.setattr( + "litellm.proxy.proxy_server.general_settings", + {"require_auth_for_public_ai_hub": True}, + ) + monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") + request = Request( + scope={ + "type": "http", + "method": "GET", + "path": "/public/model_hub/info", + "headers": [], + } + ) + request._url = URL(url="/public/model_hub/info") + + with pytest.raises(ProxyException): + await public_ai_hub_auth_dependency(request) + + def test_watsonx_provider_fields(): """Test that Watsonx provider has all required credential fields including multiple auth options.""" app = FastAPI() @@ -166,9 +206,9 @@ def test_anthropic_provider_fields_support_byok(): "Anthropic api_key must be optional so admins can configure BYOK models " "without entering a key. See BYOK tutorial." ) - assert fields_by_key["api_key"].get("tooltip"), ( - "Anthropic api_key must have a tooltip explaining the BYOK use case." - ) + assert fields_by_key["api_key"].get( + "tooltip" + ), "Anthropic api_key must have a tooltip explaining the BYOK use case." assert "api_base" in fields_by_key, ( "Anthropic provider form must expose api_base so cloud customers " "can override the upstream URL without env var access." @@ -176,16 +216,16 @@ def test_anthropic_provider_fields_support_byok(): api_base_field = fields_by_key["api_base"] assert api_base_field["required"] is False assert api_base_field["field_type"] == "text" - assert api_base_field.get("tooltip"), ( - "api_base should have a tooltip explaining it is optional." - ) + assert api_base_field.get( + "tooltip" + ), "api_base should have a tooltip explaining it is optional." # UI forms render fields in credential_fields order; api_base should come first # so an admin sees the URL override before the key field. field_order = [f["key"] for f in anthropic["credential_fields"]] - assert field_order.index("api_base") < field_order.index("api_key"), ( - "api_base must appear before api_key in credential_fields (matches AI21 and ANTHROPIC_TEXT convention)." - ) + assert field_order.index("api_base") < field_order.index( + "api_key" + ), "api_base must appear before api_key in credential_fields (matches AI21 and ANTHROPIC_TEXT convention)." def test_public_model_hub_with_healthy_model(): diff --git a/tests/test_litellm/proxy/test_sensitive_route_auth.py b/tests/test_litellm/proxy/test_sensitive_route_auth.py new file mode 100644 index 00000000000..19998e52779 --- /dev/null +++ b/tests/test_litellm/proxy/test_sensitive_route_auth.py @@ -0,0 +1,34 @@ +from fastapi.routing import APIRoute + +from litellm.proxy.auth.user_api_key_auth import user_api_key_auth +from litellm.proxy.common_utils.debug_utils import router as debug_router +from litellm.proxy.spend_tracking.spend_management_endpoints import ( + router as spend_router, +) + + +def _get_route_dependency_calls(router, path: str, method: str): + for route in router.routes: + if ( + isinstance(route, APIRoute) + and route.path == path + and method in route.methods + ): + return [dependency.call for dependency in route.dependant.dependencies] + raise AssertionError(f"Route {method} {path} not found") + + +def test_sensitive_debug_routes_require_auth_dependency(): + for path, method in ( + ("/debug/asyncio-tasks", "GET"), + ("/otel-spans", "GET"), + ): + assert user_api_key_auth in _get_route_dependency_calls( + debug_router, path, method + ) + + +def test_provider_budgets_requires_auth_dependency(): + assert user_api_key_auth in _get_route_dependency_calls( + spend_router, "/provider/budgets", "GET" + ) diff --git a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py index 5fdcb9456df..bd35488fc3f 100644 --- a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py +++ b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py @@ -1147,6 +1147,43 @@ class TestProxySettingEndpoints: assert response.status_code == 200 assert general_settings.get("forward_llm_provider_auth_headers") is True + def test_update_ui_settings_syncs_public_ai_hub_auth_to_general_settings( + self, mock_auth, monkeypatch + ): + """Public AI Hub auth flag must be synced so public-route auth checks see it.""" + from unittest.mock import AsyncMock, MagicMock + + from litellm.proxy._types import UserAPIKeyAuth + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + user_id="test-user-123", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", True) + + general_settings: dict = {} + monkeypatch.setattr( + "litellm.proxy.proxy_server.general_settings", general_settings + ) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_uisettings.upsert = AsyncMock() + mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(return_value=None) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + payload = {"require_auth_for_public_ai_hub": True} + + try: + response = client.patch("/update/ui_settings", json=payload) + finally: + app.dependency_overrides.clear() + + assert response.status_code == 200 + assert general_settings.get("require_auth_for_public_ai_hub") is True + def test_update_ui_settings_persists_and_syncs_disable_key_generate_for_org_admin( self, mock_auth, monkeypatch ): From b31182f62a2083f3c0a059de9cec8635fd2255b6 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 12:05:09 -0700 Subject: [PATCH 010/160] chore(proxy): preserve readiness compatibility --- .../health_endpoints/_health_endpoints.py | 11 +++++- .../proxy_setting_endpoints.py | 7 ++++ tests/test_health.py | 20 ++++++++++ .../health_endpoints/test_health_endpoints.py | 24 ++++++++++++ .../test_proxy_setting_endpoints.py | 37 +++++++++++++++++++ 5 files changed, 98 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py index 6387d1b546f..0f7067b1c25 100644 --- a/litellm/proxy/health_endpoints/_health_endpoints.py +++ b/litellm/proxy/health_endpoints/_health_endpoints.py @@ -1306,6 +1306,12 @@ async def _get_health_readiness_details() -> Dict[str, Any]: raise HTTPException(status_code=503, detail=f"Service Unhealthy ({str(e)})") +def _allow_public_health_readiness_details() -> bool: + from litellm.proxy.proxy_server import general_settings + + return general_settings.get("allow_public_health_readiness_details") is True + + @router.get( "/health/readiness", tags=["health"], @@ -1313,8 +1319,11 @@ async def _get_health_readiness_details() -> Dict[str, Any]: async def health_readiness(): """ Public readiness probe. Keep this low-detail for unauthenticated load - balancers while preserving the existing unauthenticated probe contract. + balancers by default. Admins can opt into the legacy detailed public + payload with general_settings.allow_public_health_readiness_details. """ + if _allow_public_health_readiness_details(): + return await _get_health_readiness_details() return {"status": "healthy"} diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index 7354971e527..da500252d74 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -99,6 +99,11 @@ class UISettings(BaseModel): description="If true, requires authentication for accessing the public AI Hub.", ) + allow_public_health_readiness_details: bool = Field( + default=False, + description="If true, returns the legacy detailed payload from the unauthenticated /health/readiness endpoint.", + ) + forward_client_headers_to_llm_api: bool = Field( default=False, description=( @@ -169,6 +174,7 @@ ALLOWED_UI_SETTINGS_FIELDS = { "disable_team_admin_delete_team_user", "enabled_ui_pages_internal_users", "require_auth_for_public_ai_hub", + "allow_public_health_readiness_details", "forward_client_headers_to_llm_api", "forward_llm_provider_auth_headers", "disable_agents_for_internal_users", @@ -184,6 +190,7 @@ ALLOWED_UI_SETTINGS_FIELDS = { # general_settings at runtime (on both read and write). _RUNTIME_GENERAL_SETTINGS_FLAGS = [ "require_auth_for_public_ai_hub", + "allow_public_health_readiness_details", "forward_client_headers_to_llm_api", "forward_llm_provider_auth_headers", "disable_agents_for_internal_users", diff --git a/tests/test_health.py b/tests/test_health.py index 39c249370fa..15dc2330ffb 100644 --- a/tests/test_health.py +++ b/tests/test_health.py @@ -79,6 +79,26 @@ async def test_health_readiness(): raise Exception(f"Request did not return a 200 status code: {status}") +@pytest.mark.asyncio +async def test_health_readiness_details(): + """ + Check if authenticated readiness diagnostics expose version metadata. + """ + async with aiohttp.ClientSession() as session: + url = "http://0.0.0.0:4000/health/readiness/details" + headers = {"Authorization": "Bearer sk-1234"} + async with session.get(url, headers=headers) as response: + status = response.status + response_json = await response.json() + + print(response_json) + assert "status" in response_json + assert "litellm_version" in response_json + + if status != 200: + raise Exception(f"Request did not return a 200 status code: {status}") + + @pytest.mark.asyncio async def test_health_liveliness(): """ diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py index d3c22ad6091..d275b02e343 100644 --- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py +++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py @@ -643,6 +643,30 @@ def test_health_readiness_details_returns_diagnostic_fields(monkeypatch): assert "cache" in response_data +def test_health_readiness_allows_explicit_legacy_public_details(monkeypatch): + """ + Operators can explicitly preserve the legacy public readiness payload. + """ + app = FastAPI() + app.include_router(_health_endpoints_module.router) + client = TestClient(app) + + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None) + monkeypatch.setattr( + "litellm.proxy.proxy_server.general_settings", + {"allow_public_health_readiness_details": True}, + ) + + response = client.get("/health/readiness") + + assert response.status_code == 200, response.text + response_data = response.json() + assert response_data["status"] == "healthy" + assert "litellm_version" in response_data + assert "success_callbacks" in response_data + assert "cache" in response_data + + def test_get_callback_identifier_string_and_object_with_callback_name(): """ Test get_callback_identifier with string callbacks and objects with callback_name attribute. diff --git a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py index bd35488fc3f..256782c714f 100644 --- a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py +++ b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py @@ -1184,6 +1184,43 @@ class TestProxySettingEndpoints: assert response.status_code == 200 assert general_settings.get("require_auth_for_public_ai_hub") is True + def test_update_ui_settings_syncs_public_health_readiness_details_to_general_settings( + self, mock_auth, monkeypatch + ): + """Public readiness details flag must be synced so the health route sees it.""" + from unittest.mock import AsyncMock, MagicMock + + from litellm.proxy._types import UserAPIKeyAuth + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + user_id="test-user-123", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", True) + + general_settings: dict = {} + monkeypatch.setattr( + "litellm.proxy.proxy_server.general_settings", general_settings + ) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_uisettings.upsert = AsyncMock() + mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(return_value=None) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + payload = {"allow_public_health_readiness_details": True} + + try: + response = client.patch("/update/ui_settings", json=payload) + finally: + app.dependency_overrides.clear() + + assert response.status_code == 200 + assert general_settings.get("allow_public_health_readiness_details") is True + def test_update_ui_settings_persists_and_syncs_disable_key_generate_for_org_admin( self, mock_auth, monkeypatch ): From 35bbca60b057069ed71c71e1c35877eee6cde43f Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 12:22:48 -0700 Subject: [PATCH 011/160] chore(proxy): default sensitive routes to auth --- litellm/__init__.py | 2 +- litellm/proxy/_types.py | 5 --- litellm/proxy/auth/user_api_key_auth.py | 8 ++-- .../middleware/prometheus_auth_middleware.py | 10 ++--- .../public_endpoints/public_endpoints.py | 2 +- .../proxy_setting_endpoints.py | 2 +- .../proxy/auth/test_user_api_key_auth.py | 8 +++- .../test_prometheus_auth_middleware.py | 29 +++++++++--- .../public_endpoints/test_public_endpoints.py | 44 +++++++++++++++++-- 9 files changed, 83 insertions(+), 27 deletions(-) diff --git a/litellm/__init__.py b/litellm/__init__.py index 77fa48625d9..f41f976fe84 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -166,7 +166,7 @@ langfuse_default_tags: Optional[List[str]] = None langsmith_batch_size: Optional[int] = None prometheus_initialize_budget_metrics: Optional[bool] = False prometheus_latency_buckets: Optional[List[float]] = None -require_auth_for_metrics_endpoint: Optional[bool] = False +require_auth_for_metrics_endpoint: Optional[bool] = True argilla_batch_size: Optional[int] = None datadog_use_v1: Optional[bool] = False # if you want to use v1 datadog logged payload. gcs_pub_sub_use_v1: Optional[bool] = ( diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index e3b7b3a1164..d0fb70e662f 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -613,13 +613,8 @@ class LiteLLMRoutes(enum.Enum): "/health/liveness", "/test", "/config/yaml", - "/metrics", "/litellm/.well-known/litellm-ui-config", "/.well-known/litellm-ui-config", - "/public/model_hub", - "/public/agent_hub", - "/public/mcp_hub", - "/public/skill_hub", "/public/litellm_model_cost_map", ] ) diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 49cc1b3b2cf..d0319e06c5e 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -108,10 +108,12 @@ def _route_requires_auth_despite_public( ) -> bool: normalized_route = _normalize_public_auth_route(route) if normalized_route == "/metrics": - return litellm.require_auth_for_metrics_endpoint is True + return litellm.require_auth_for_metrics_endpoint is not False if normalized_route in _PUBLIC_AI_HUB_ROUTES: - return (general_settings or {}).get("require_auth_for_public_ai_hub") is True + return (general_settings or {}).get( + "require_auth_for_public_ai_hub", True + ) is True return False @@ -1671,7 +1673,7 @@ async def _run_centralized_common_checks( user_custom_auth, ) - # Public routes (e.g. /health/liveness, /metrics) are exempt from + # Public routes (e.g. /health/liveness) are exempt from # auth in the builder — the wrapper must not retroactively apply # authz on top, or k8s readiness probes and other unauthenticated # callers get 401. diff --git a/litellm/proxy/middleware/prometheus_auth_middleware.py b/litellm/proxy/middleware/prometheus_auth_middleware.py index 529076ea478..513ecd1bc80 100644 --- a/litellm/proxy/middleware/prometheus_auth_middleware.py +++ b/litellm/proxy/middleware/prometheus_auth_middleware.py @@ -19,13 +19,13 @@ class PrometheusAuthMiddleware: """ Middleware to authenticate requests to the metrics endpoint. - By default, auth is not run on the metrics endpoint. + By default, auth is run on the metrics endpoint. - Enabled by setting the following in proxy_config.yaml: + To allow unauthenticated metrics in proxy_config.yaml: ```yaml litellm_settings: - require_auth_for_metrics_endpoint: true + require_auth_for_metrics_endpoint: false ``` """ @@ -38,8 +38,8 @@ class PrometheusAuthMiddleware: await self.app(scope, receive, send) return - # Only run auth if configured to do so - if litellm.require_auth_for_metrics_endpoint is True: + # Run auth by default; allow legacy public metrics only when explicitly disabled. + if litellm.require_auth_for_metrics_endpoint is not False: # Construct Request only when auth is actually needed request = Request(scope, receive) diff --git a/litellm/proxy/public_endpoints/public_endpoints.py b/litellm/proxy/public_endpoints/public_endpoints.py index dceee418198..827a59b2e07 100644 --- a/litellm/proxy/public_endpoints/public_endpoints.py +++ b/litellm/proxy/public_endpoints/public_endpoints.py @@ -40,7 +40,7 @@ router = APIRouter() async def public_ai_hub_auth_dependency(request: Request) -> UserAPIKeyAuth: from litellm.proxy.proxy_server import general_settings - if (general_settings or {}).get("require_auth_for_public_ai_hub") is True: + if (general_settings or {}).get("require_auth_for_public_ai_hub", True) is True: return await user_api_key_auth( request=request, api_key=request.headers.get(SpecialHeaders.openai_authorization.value) diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index da500252d74..a5cf52b071e 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -95,7 +95,7 @@ class UISettings(BaseModel): ) require_auth_for_public_ai_hub: bool = Field( - default=False, + default=True, description="If true, requires authentication for accessing the public AI Hub.", ) diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index ae5d01dc2a6..0cce501a151 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -65,6 +65,7 @@ def test_route_requires_auth_despite_public_for_metrics(monkeypatch): def test_route_requires_auth_despite_public_for_public_ai_hub(): settings = {"require_auth_for_public_ai_hub": True} + assert _route_requires_auth_despite_public("/public/model_hub", {}) is True assert _route_requires_auth_despite_public("/public/model_hub", settings) is True assert _route_requires_auth_despite_public("/public/model_hub/", settings) is True assert ( @@ -74,7 +75,12 @@ def test_route_requires_auth_despite_public_for_public_ai_hub(): assert _route_requires_auth_despite_public("/public/mcp_hub", settings) is True assert _route_requires_auth_despite_public("/public/skill_hub", settings) is True - assert _route_requires_auth_despite_public("/public/model_hub", {}) is False + assert ( + _route_requires_auth_despite_public( + "/public/model_hub", {"require_auth_for_public_ai_hub": False} + ) + is False + ) @pytest.mark.asyncio diff --git a/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py b/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py index d2804250303..4bc707209ad 100644 --- a/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py +++ b/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py @@ -67,7 +67,7 @@ def test_valid_auth_metrics(app_with_middleware, monkeypatch): Test that a request to /metrics (and /metrics/) with valid auth headers passes. """ # Enable auth on metrics endpoints. - litellm.require_auth_for_metrics_endpoint = True + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True) # Patch the auth function to simulate a valid authentication. monkeypatch.setattr( "litellm.proxy.middleware.prometheus_auth_middleware.user_api_key_auth", @@ -92,7 +92,7 @@ def test_invalid_auth_metrics(app_with_middleware, monkeypatch): """ Test that a request to /metrics with invalid auth headers fails with a 401. """ - litellm.require_auth_for_metrics_endpoint = True + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True) # Patch the auth function to simulate a failed authentication. monkeypatch.setattr( "litellm.proxy.middleware.prometheus_auth_middleware.user_api_key_auth", @@ -126,12 +126,29 @@ def test_metrics_auth_uses_real_auth_when_route_is_public( assert "Unauthorized access to metrics endpoint" in response.text +def test_metrics_auth_is_required_by_default(app_with_middleware, monkeypatch): + """ + Metrics should require auth unless explicitly configured as public. + """ + monkeypatch.setattr( + "litellm.proxy.middleware.prometheus_auth_middleware.user_api_key_auth", + fake_invalid_auth, + ) + + client = TestClient(app_with_middleware) + + response = client.get("/metrics") + + assert response.status_code == 401, response.text + assert "Unauthorized access to metrics endpoint" in response.text + + def test_no_auth_metrics_when_disabled(app_with_middleware, monkeypatch): """ Test that when require_auth_for_metrics_endpoint is False, requests to /metrics bypass the auth check. """ - litellm.require_auth_for_metrics_endpoint = False + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", False) # To ensure auth is not run, patch the auth function with one that will raise if called. def should_not_be_called(*args, **kwargs): @@ -148,11 +165,11 @@ def test_no_auth_metrics_when_disabled(app_with_middleware, monkeypatch): assert response.json() == {"msg": "metrics OK"} -def test_non_metrics_requests_pass_through(app_with_middleware): +def test_non_metrics_requests_pass_through(app_with_middleware, monkeypatch): """ Test that non-metrics endpoints pass through the middleware unaffected. """ - litellm.require_auth_for_metrics_endpoint = True + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True) client = TestClient(app_with_middleware) @@ -170,7 +187,7 @@ def test_non_metrics_requests_dont_trigger_auth(app_with_middleware, monkeypatch Test that non-metrics requests never trigger auth, even when auth is enabled and the auth function would reject the request. """ - litellm.require_auth_for_metrics_endpoint = True + monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True) def should_not_be_called(*args, **kwargs): raise Exception("Auth should not be called for non-metrics requests") diff --git a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py index 68ff88d60f6..f39e39c5650 100644 --- a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py +++ b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py @@ -12,7 +12,7 @@ from fastapi.testclient import TestClient from starlette.datastructures import URL from starlette.requests import Request -from litellm.proxy._types import ProxyException +from litellm.proxy._types import LitellmUserRoles, ProxyException from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.public_endpoints import router from litellm.proxy.public_endpoints.public_endpoints import ( @@ -97,7 +97,7 @@ def test_get_litellm_model_cost_map_returns_cost_map(): ) -def test_public_ai_hub_info_stays_public_by_default(monkeypatch): +def test_public_ai_hub_info_requires_auth_by_default(monkeypatch): app = FastAPI() app.include_router(router) client = TestClient(app) @@ -105,16 +105,31 @@ def test_public_ai_hub_info_stays_public_by_default(monkeypatch): monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {}) monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") + with pytest.raises(ProxyException): + client.get("/public/model_hub/info") + + +def test_public_ai_hub_info_can_be_explicitly_public(monkeypatch): + app = FastAPI() + app.include_router(router) + client = TestClient(app) + + monkeypatch.setattr( + "litellm.proxy.proxy_server.general_settings", + {"require_auth_for_public_ai_hub": False}, + ) + monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") + response = client.get("/public/model_hub/info") assert response.status_code == 200, response.text @pytest.mark.asyncio -async def test_public_ai_hub_info_requires_auth_when_configured(monkeypatch): +async def test_public_ai_hub_info_requires_auth_by_default_dependency(monkeypatch): monkeypatch.setattr( "litellm.proxy.proxy_server.general_settings", - {"require_auth_for_public_ai_hub": True}, + {}, ) monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") request = Request( @@ -131,6 +146,27 @@ async def test_public_ai_hub_info_requires_auth_when_configured(monkeypatch): await public_ai_hub_auth_dependency(request) +@pytest.mark.asyncio +async def test_public_ai_hub_info_skips_auth_when_explicitly_disabled(monkeypatch): + monkeypatch.setattr( + "litellm.proxy.proxy_server.general_settings", + {"require_auth_for_public_ai_hub": False}, + ) + request = Request( + scope={ + "type": "http", + "method": "GET", + "path": "/public/model_hub/info", + "headers": [], + } + ) + request._url = URL(url="/public/model_hub/info") + + auth = await public_ai_hub_auth_dependency(request) + + assert auth.user_role == LitellmUserRoles.INTERNAL_USER_VIEW_ONLY + + def test_watsonx_provider_fields(): """Test that Watsonx provider has all required credential fields including multiple auth options.""" app = FastAPI() From 5ec925b02b4ebe8094349003ee9282d40bcc2c85 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:03:56 -0700 Subject: [PATCH 012/160] chore(providers): guard URL-valued model destinations --- litellm/llms/gemini/files/transformation.py | 30 ++++++-- .../llms/huggingface/chat/transformation.py | 15 ++-- litellm/llms/huggingface/common_utils.py | 14 ++++ litellm/llms/huggingface/embedding/handler.py | 8 +- .../huggingface/embedding/transformation.py | 13 +++- litellm/llms/oobabooga/chat/oobabooga.py | 12 ++- litellm/llms/oobabooga/common_utils.py | 13 ++++ .../files/test_gemini_files_transformation.py | 35 ++++++++- .../test_huggingface_model_url_guard.py | 76 +++++++++++++++++++ .../test_oobabooga_model_url_guard.py | 46 +++++++++++ 10 files changed, 232 insertions(+), 30 deletions(-) create mode 100644 tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py create mode 100644 tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py diff --git a/litellm/llms/gemini/files/transformation.py b/litellm/llms/gemini/files/transformation.py index 401d7bb9f48..f21296ef26b 100644 --- a/litellm/llms/gemini/files/transformation.py +++ b/litellm/llms/gemini/files/transformation.py @@ -29,6 +29,8 @@ from litellm.types.utils import LlmProviders from ..common_utils import GeminiModelInfo +_GEMINI_FILES_HOST = "generativelanguage.googleapis.com" + class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): def __init__(self): @@ -248,6 +250,13 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): """ if file_id.startswith(("http://", "https://")): parsed = urlparse(file_id) + if ( + parsed.scheme != "https" + or parsed.hostname != _GEMINI_FILES_HOST + or parsed.username is not None + or parsed.password is not None + ): + raise ValueError("Invalid Gemini file URL") path = parsed.path.lstrip("/") files_index = path.find("files/") if files_index != -1: @@ -260,9 +269,22 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): normalized_file_id = normalized_file_id.strip("/") if not normalized_file_id.startswith("files/"): normalized_file_id = f"files/{normalized_file_id}" + self._validate_gemini_file_name(normalized_file_id) return normalized_file_id + @staticmethod + def _validate_gemini_file_name(file_name: str) -> None: + parts = file_name.split("/") + if ( + len(parts) != 2 + or parts[0] != "files" + or not parts[1] + or parts[1] in {".", ".."} + or any(char in parts[1] for char in ("\\", "?", "#")) + ): + raise ValueError("Invalid Gemini file name") + def transform_retrieve_file_response( self, raw_response: httpx.Response, @@ -337,13 +359,7 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): if not api_key: raise ValueError("api_key is required") - # Extract file name from URI if full URI is provided - # file_id could be "files/abc123" or "https://generativelanguage.googleapis.com/v1beta/files/abc123" - if file_id.startswith("http"): - # Extract the file path from full URI - file_name = file_id.split("/v1beta/")[-1] - else: - file_name = file_id if file_id.startswith("files/") else f"files/{file_id}" + file_name = self._normalize_gemini_file_id(file_id) # Construct the delete URL url = f"{api_base}/v1beta/{file_name}" diff --git a/litellm/llms/huggingface/chat/transformation.py b/litellm/llms/huggingface/chat/transformation.py index 557aa48550b..1591ce0e888 100644 --- a/litellm/llms/huggingface/chat/transformation.py +++ b/litellm/llms/huggingface/chat/transformation.py @@ -16,7 +16,11 @@ else: from litellm.llms.base_llm.chat.transformation import BaseLLMException from ...openai.chat.gpt_transformation import OpenAIGPTConfig -from ..common_utils import HuggingFaceError, _fetch_inference_provider_mapping +from ..common_utils import ( + HuggingFaceError, + _fetch_inference_provider_mapping, + validate_huggingface_model_identifier, +) logger = logging.getLogger(__name__) @@ -76,9 +80,8 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): Do not add the chat/embedding/rerank extension here. Let the handler do this. """ - if model.startswith(("http://", "https://")): - base_url = model - elif base_url is None: + validate_huggingface_model_identifier(model) + if base_url is None: base_url = os.getenv("HF_API_BASE") or os.getenv("HUGGINGFACE_API_BASE", "") return base_url @@ -95,6 +98,7 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): Get the complete URL for the API call. For provider-specific routing through huggingface """ + validate_huggingface_model_identifier(model) # Check if api_base is provided if api_base is not None: complete_url = api_base @@ -103,9 +107,6 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): complete_url = str(os.getenv("HF_API_BASE")) or str( os.getenv("HUGGINGFACE_API_BASE") ) - elif model.startswith(("http://", "https://")): - complete_url = model - complete_url = _build_chat_completion_url(complete_url) # Default construction with provider else: # Parse provider and model diff --git a/litellm/llms/huggingface/common_utils.py b/litellm/llms/huggingface/common_utils.py index 9ab4367c9b3..2d5f583873a 100644 --- a/litellm/llms/huggingface/common_utils.py +++ b/litellm/llms/huggingface/common_utils.py @@ -9,6 +9,20 @@ from litellm.llms.base_llm.chat.transformation import BaseLLMException HF_HUB_URL = "https://huggingface.co" +def validate_huggingface_model_identifier(model: str) -> None: + """Reject URL-valued model identifiers before provider credentials are added.""" + if "://" not in model: + return + raise HuggingFaceError( + status_code=400, + message=( + "Invalid Hugging Face model identifier. Configure custom endpoints with " + "api_base or HF_API_BASE/HUGGINGFACE_API_BASE instead of passing a URL " + "as the model." + ), + ) + + class HuggingFaceError(BaseLLMException): def __init__( self, diff --git a/litellm/llms/huggingface/embedding/handler.py b/litellm/llms/huggingface/embedding/handler.py index 226f6b2ebad..4e3ac0ec0ba 100644 --- a/litellm/llms/huggingface/embedding/handler.py +++ b/litellm/llms/huggingface/embedding/handler.py @@ -14,7 +14,7 @@ from litellm.llms.custom_httpx.http_handler import ( from litellm.types.utils import EmbeddingResponse from ...base import BaseLLM -from ..common_utils import HuggingFaceError +from ..common_utils import HuggingFaceError, validate_huggingface_model_identifier from .transformation import HuggingFaceEmbeddingConfig config = HuggingFaceEmbeddingConfig() @@ -154,6 +154,7 @@ class HuggingFaceEmbedding(BaseLLM): embed_url: str, ) -> dict: data: Dict = {} + validate_huggingface_model_identifier(model) ## TRANSFORMATION ## if "sentence-transformers" in model: @@ -334,6 +335,7 @@ class HuggingFaceEmbedding(BaseLLM): headers={}, ) -> EmbeddingResponse: super().embedding() + validate_huggingface_model_identifier(model) headers = config.validate_environment( api_key=api_key, headers=headers, @@ -348,9 +350,7 @@ class HuggingFaceEmbedding(BaseLLM): ) # print_verbose(f"{model}, {task}") embed_url = "" - if "https" in model: - embed_url = model - elif api_base: + if api_base: embed_url = api_base elif "HF_API_BASE" in os.environ: embed_url = os.getenv("HF_API_BASE", "") diff --git a/litellm/llms/huggingface/embedding/transformation.py b/litellm/llms/huggingface/embedding/transformation.py index 88d42cfcdcc..3a17b0a114f 100644 --- a/litellm/llms/huggingface/embedding/transformation.py +++ b/litellm/llms/huggingface/embedding/transformation.py @@ -21,7 +21,13 @@ from litellm.types.llms.openai import AllMessageValues from litellm.types.utils import Choices, Message, ModelResponse, Usage from litellm.utils import token_counter -from ..common_utils import HuggingFaceError, hf_task_list, hf_tasks, output_parser +from ..common_utils import ( + HuggingFaceError, + hf_task_list, + hf_tasks, + output_parser, + validate_huggingface_model_identifier, +) if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj @@ -336,9 +342,8 @@ class HuggingFaceEmbeddingConfig(BaseConfig): Do not add the chat/embedding/rerank extension here. Let the handler do this. """ - if "https" in model: - completion_url = model - elif api_base is not None: + validate_huggingface_model_identifier(model) + if api_base is not None: completion_url = api_base elif "HF_API_BASE" in os.environ: completion_url = os.getenv("HF_API_BASE", "") diff --git a/litellm/llms/oobabooga/chat/oobabooga.py b/litellm/llms/oobabooga/chat/oobabooga.py index 5eb68a03d4b..bcd3584efbe 100644 --- a/litellm/llms/oobabooga/chat/oobabooga.py +++ b/litellm/llms/oobabooga/chat/oobabooga.py @@ -5,7 +5,7 @@ import litellm from litellm.llms.custom_httpx.http_handler import _get_httpx_client from litellm.utils import EmbeddingResponse, ModelResponse, Usage -from ..common_utils import OobaboogaError +from ..common_utils import OobaboogaError, validate_oobabooga_model_identifier from .transformation import OobaboogaConfig oobabooga_config = OobaboogaConfig() @@ -26,6 +26,7 @@ def completion( logger_fn=None, default_max_tokens_to_sample=None, ): + validate_oobabooga_model_identifier(model) headers = oobabooga_config.validate_environment( api_key=api_key, headers={}, @@ -34,9 +35,7 @@ def completion( optional_params=optional_params, litellm_params=litellm_params, ) - if "https" in model: - completion_url = model - elif api_base: + if api_base: completion_url = api_base else: raise OobaboogaError( @@ -96,9 +95,8 @@ def embedding( encoding=None, ): # Create completion URL - if "https" in model: - embeddings_url = model - elif api_base: + validate_oobabooga_model_identifier(model) + if api_base: embeddings_url = f"{api_base}/v1/embeddings" else: raise OobaboogaError( diff --git a/litellm/llms/oobabooga/common_utils.py b/litellm/llms/oobabooga/common_utils.py index 82f8cda9511..69f2cb519b7 100644 --- a/litellm/llms/oobabooga/common_utils.py +++ b/litellm/llms/oobabooga/common_utils.py @@ -13,3 +13,16 @@ class OobaboogaError(BaseLLMException): headers: Optional[Union[dict, httpx.Headers]] = None, ): super().__init__(status_code=status_code, message=message, headers=headers) + + +def validate_oobabooga_model_identifier(model: str) -> None: + """Oobabooga endpoints must be configured with api_base, not model URLs.""" + if "://" not in model: + return + raise OobaboogaError( + status_code=400, + message=( + "Invalid Oobabooga model identifier. Configure the endpoint with " + "api_base instead of passing a URL as the model." + ), + ) diff --git a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py index 2431c9a9c4f..41006fb916c 100644 --- a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py +++ b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py @@ -2,7 +2,6 @@ Test Google AI Studio (Gemini) files transformation functionality """ -import os from unittest.mock import Mock, patch import httpx @@ -93,6 +92,27 @@ class TestGoogleAIStudioFilesTransformation: assert "key=" not in url assert params == {} + def test_transform_retrieve_file_request_rejects_untrusted_full_url(self): + file_id = "https://attacker.example/v1beta/files/test123" + litellm_params = {"api_key": "test-api-key"} + + with pytest.raises(ValueError, match="Invalid Gemini file URL"): + self.handler.transform_retrieve_file_request( + file_id=file_id, + optional_params={}, + litellm_params=litellm_params, + ) + + def test_transform_retrieve_file_request_rejects_traversal_name(self): + litellm_params = {"api_key": "test-api-key"} + + with pytest.raises(ValueError, match="Invalid Gemini file name"): + self.handler.transform_retrieve_file_request( + file_id="files/../secrets", + optional_params={}, + litellm_params=litellm_params, + ) + @patch.dict("os.environ", {}, clear=True) @patch("litellm.llms.gemini.common_utils.get_secret_str", return_value=None) def test_transform_retrieve_file_request_missing_api_key(self, mock_get_secret): @@ -322,3 +342,16 @@ class TestGoogleAIStudioFilesTransformation: assert file_id in url assert "generativelanguage.googleapis.com" in url assert params == {} + + def test_transform_delete_file_request_rejects_untrusted_full_url(self): + litellm_params = { + "api_key": "test-api-key", + "api_base": "https://generativelanguage.googleapis.com", + } + + with pytest.raises(ValueError, match="Invalid Gemini file URL"): + self.handler.transform_delete_file_request( + file_id="https://attacker.example/v1beta/files/test123", + optional_params={}, + litellm_params=litellm_params, + ) diff --git a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py new file mode 100644 index 00000000000..c0bb56c1717 --- /dev/null +++ b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py @@ -0,0 +1,76 @@ +from unittest.mock import MagicMock, patch + +import pytest + +from litellm.llms.huggingface.chat.transformation import HuggingFaceChatConfig +from litellm.llms.huggingface.common_utils import HuggingFaceError +from litellm.llms.huggingface.embedding.handler import HuggingFaceEmbedding +from litellm.llms.huggingface.embedding.transformation import ( + HuggingFaceEmbeddingConfig, +) + + +def test_huggingface_chat_rejects_url_valued_model(): + config = HuggingFaceChatConfig() + + with pytest.raises(HuggingFaceError) as exc_info: + config.get_complete_url( + api_base=None, + api_key="hf-secret", + model="https://attacker.example/v1", + optional_params={}, + litellm_params={}, + ) + + assert exc_info.value.status_code == 400 + + +def test_huggingface_chat_keeps_explicit_api_base_for_custom_endpoints(): + config = HuggingFaceChatConfig() + + complete_url = config.get_complete_url( + api_base="https://admin-configured.example", + api_key="hf-secret", + model="huggingface/mistral", + optional_params={}, + litellm_params={}, + ) + + assert complete_url == "https://admin-configured.example/v1/chat/completions" + + +def test_huggingface_embedding_config_rejects_url_valued_model(): + config = HuggingFaceEmbeddingConfig() + + with pytest.raises(HuggingFaceError) as exc_info: + config.get_api_base( + api_base=None, + model="prefixhttps://attacker.example/embeddings", + ) + + assert exc_info.value.status_code == 400 + + +def test_huggingface_embedding_handler_rejects_before_task_lookup(): + handler = HuggingFaceEmbedding() + logging_obj = MagicMock() + encoding = MagicMock() + encoding.encode.return_value = [] + + with patch( + "litellm.llms.huggingface.embedding.handler.get_hf_task_embedding_for_model" + ) as mock_task_lookup: + with pytest.raises(HuggingFaceError) as exc_info: + handler.embedding( + model="https://attacker.example/embeddings", + input=["hello"], + model_response=MagicMock(), + optional_params={}, + litellm_params={}, + logging_obj=logging_obj, + encoding=encoding, + api_key="hf-secret", + ) + + assert exc_info.value.status_code == 400 + mock_task_lookup.assert_not_called() diff --git a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py new file mode 100644 index 00000000000..dab02637e50 --- /dev/null +++ b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py @@ -0,0 +1,46 @@ +from unittest.mock import MagicMock, patch + +import pytest + +from litellm.llms.oobabooga.chat.oobabooga import completion, embedding +from litellm.llms.oobabooga.common_utils import OobaboogaError + + +def test_oobabooga_completion_rejects_url_valued_model_before_request(): + with patch("litellm.llms.oobabooga.chat.oobabooga._get_httpx_client") as mock_get: + with pytest.raises(OobaboogaError) as exc_info: + completion( + model="https://attacker.example/v1", + messages=[], + api_base="https://admin-configured.example", + model_response=MagicMock(), + print_verbose=MagicMock(), + encoding=MagicMock(), + api_key="ooba-secret", + logging_obj=MagicMock(), + optional_params={}, + litellm_params={}, + ) + + assert exc_info.value.status_code == 400 + mock_get.assert_not_called() + + +def test_oobabooga_embedding_rejects_url_valued_model_before_request(): + with patch( + "litellm.llms.oobabooga.chat.oobabooga.litellm.module_level_client.post" + ) as mock_post: + with pytest.raises(OobaboogaError) as exc_info: + embedding( + model="prefixhttps://attacker.example/embeddings", + input=["hello"], + model_response=MagicMock(), + api_key="ooba-secret", + api_base="https://admin-configured.example", + logging_obj=MagicMock(), + optional_params={}, + encoding=MagicMock(), + ) + + assert exc_info.value.status_code == 400 + mock_post.assert_not_called() From d75f62a17c8b5dfa0b19dbdfc6eee7faee33679f Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:17:09 -0700 Subject: [PATCH 013/160] chore(providers): add guarded URL model migration path --- litellm/__init__.py | 3 ++ litellm/llms/gemini/files/transformation.py | 14 +++++-- .../llms/huggingface/chat/transformation.py | 8 +++- litellm/llms/huggingface/common_utils.py | 15 +++++++- litellm/llms/huggingface/embedding/handler.py | 28 +++++++++++--- .../huggingface/embedding/transformation.py | 5 ++- litellm/llms/oobabooga/chat/oobabooga.py | 14 +++++-- litellm/llms/oobabooga/common_utils.py | 16 +++++++- .../files/test_gemini_files_transformation.py | 33 +++++++++++++++++ .../test_huggingface_model_url_guard.py | 32 ++++++++++++++++ .../test_oobabooga_model_url_guard.py | 37 +++++++++++++++++++ 11 files changed, 189 insertions(+), 16 deletions(-) diff --git a/litellm/__init__.py b/litellm/__init__.py index 77fa48625d9..16ae730384a 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -280,6 +280,9 @@ ssl_security_level: Optional[str] = None ssl_certificate: Optional[str] = None user_url_validation: bool = True user_url_allowed_hosts: List[str] = [] +reject_url_model_destinations: bool = os.getenv( + "LITELLM_REJECT_URL_MODEL_DESTINATIONS", "true" +).lower() not in ("false", "0") ssl_ecdh_curve: Optional[str] = ( None # Set to 'X25519' to disable PQC and improve performance ) diff --git a/litellm/llms/gemini/files/transformation.py b/litellm/llms/gemini/files/transformation.py index f21296ef26b..fe7f81ab95d 100644 --- a/litellm/llms/gemini/files/transformation.py +++ b/litellm/llms/gemini/files/transformation.py @@ -6,7 +6,7 @@ For vertex ai, check out the vertex_ai/files/handler.py file. import time from typing import Any, List, Literal, Optional -from urllib.parse import urlparse +from urllib.parse import unquote, urlparse import httpx from openai.types.file_deleted import FileDeleted @@ -276,12 +276,20 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): @staticmethod def _validate_gemini_file_name(file_name: str) -> None: parts = file_name.split("/") + decoded_file_id = "" + if len(parts) == 2: + decoded_file_id = parts[1] + for _ in range(3): + next_decoded_file_id = unquote(decoded_file_id) + if next_decoded_file_id == decoded_file_id: + break + decoded_file_id = next_decoded_file_id if ( len(parts) != 2 or parts[0] != "files" or not parts[1] - or parts[1] in {".", ".."} - or any(char in parts[1] for char in ("\\", "?", "#")) + or decoded_file_id in {".", ".."} + or any(char in decoded_file_id for char in ("/", "\\", "?", "#")) ): raise ValueError("Invalid Gemini file name") diff --git a/litellm/llms/huggingface/chat/transformation.py b/litellm/llms/huggingface/chat/transformation.py index 1591ce0e888..d138ade51ed 100644 --- a/litellm/llms/huggingface/chat/transformation.py +++ b/litellm/llms/huggingface/chat/transformation.py @@ -19,6 +19,7 @@ from ...openai.chat.gpt_transformation import OpenAIGPTConfig from ..common_utils import ( HuggingFaceError, _fetch_inference_provider_mapping, + is_url_model_destination, validate_huggingface_model_identifier, ) @@ -81,7 +82,9 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): Do not add the chat/embedding/rerank extension here. Let the handler do this. """ validate_huggingface_model_identifier(model) - if base_url is None: + if is_url_model_destination(model): + base_url = model + elif base_url is None: base_url = os.getenv("HF_API_BASE") or os.getenv("HUGGINGFACE_API_BASE", "") return base_url @@ -107,6 +110,9 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): complete_url = str(os.getenv("HF_API_BASE")) or str( os.getenv("HUGGINGFACE_API_BASE") ) + elif is_url_model_destination(model): + complete_url = model + complete_url = _build_chat_completion_url(complete_url) # Default construction with provider else: # Parse provider and model diff --git a/litellm/llms/huggingface/common_utils.py b/litellm/llms/huggingface/common_utils.py index 2d5f583873a..1e94e28d119 100644 --- a/litellm/llms/huggingface/common_utils.py +++ b/litellm/llms/huggingface/common_utils.py @@ -9,16 +9,29 @@ from litellm.llms.base_llm.chat.transformation import BaseLLMException HF_HUB_URL = "https://huggingface.co" +def is_url_model_destination(model: str) -> bool: + return model.startswith(("http://", "https://")) + + +def _should_reject_url_model_destinations() -> bool: + import litellm + + return getattr(litellm, "reject_url_model_destinations", True) is True + + def validate_huggingface_model_identifier(model: str) -> None: """Reject URL-valued model identifiers before provider credentials are added.""" if "://" not in model: return + if is_url_model_destination(model) and not _should_reject_url_model_destinations(): + return raise HuggingFaceError( status_code=400, message=( "Invalid Hugging Face model identifier. Configure custom endpoints with " "api_base or HF_API_BASE/HUGGINGFACE_API_BASE instead of passing a URL " - "as the model." + "as the model. To keep legacy URL-valued models for trusted inputs, set " + "litellm.reject_url_model_destinations=False." ), ) diff --git a/litellm/llms/huggingface/embedding/handler.py b/litellm/llms/huggingface/embedding/handler.py index 4e3ac0ec0ba..2f7232a726f 100644 --- a/litellm/llms/huggingface/embedding/handler.py +++ b/litellm/llms/huggingface/embedding/handler.py @@ -14,7 +14,11 @@ from litellm.llms.custom_httpx.http_handler import ( from litellm.types.utils import EmbeddingResponse from ...base import BaseLLM -from ..common_utils import HuggingFaceError, validate_huggingface_model_identifier +from ..common_utils import ( + HuggingFaceError, + is_url_model_destination, + validate_huggingface_model_identifier, +) from .transformation import HuggingFaceEmbeddingConfig config = HuggingFaceEmbeddingConfig() @@ -155,6 +159,7 @@ class HuggingFaceEmbedding(BaseLLM): ) -> dict: data: Dict = {} validate_huggingface_model_identifier(model) + model_uses_url_destination = is_url_model_destination(model) ## TRANSFORMATION ## if "sentence-transformers" in model: @@ -170,8 +175,12 @@ class HuggingFaceEmbedding(BaseLLM): task_type = optional_params.pop("input_type", None) if call_type == "sync": - hf_task = get_hf_task_embedding_for_model( - model=model, task_type=task_type, api_base=HF_HUB_URL + hf_task = ( + task_type + if model_uses_url_destination + else get_hf_task_embedding_for_model( + model=model, task_type=task_type, api_base=HF_HUB_URL + ) ) elif call_type == "async": return self._async_transform_input( @@ -345,12 +354,19 @@ class HuggingFaceEmbedding(BaseLLM): litellm_params=litellm_params, ) task_type = optional_params.get("input_type", None) - task = get_hf_task_embedding_for_model( - model=model, task_type=task_type, api_base=HF_HUB_URL + model_uses_url_destination = is_url_model_destination(model) + task = ( + task_type + if model_uses_url_destination + else get_hf_task_embedding_for_model( + model=model, task_type=task_type, api_base=HF_HUB_URL + ) ) # print_verbose(f"{model}, {task}") embed_url = "" - if api_base: + if model_uses_url_destination: + embed_url = model + elif api_base: embed_url = api_base elif "HF_API_BASE" in os.environ: embed_url = os.getenv("HF_API_BASE", "") diff --git a/litellm/llms/huggingface/embedding/transformation.py b/litellm/llms/huggingface/embedding/transformation.py index 3a17b0a114f..ce8319e82df 100644 --- a/litellm/llms/huggingface/embedding/transformation.py +++ b/litellm/llms/huggingface/embedding/transformation.py @@ -25,6 +25,7 @@ from ..common_utils import ( HuggingFaceError, hf_task_list, hf_tasks, + is_url_model_destination, output_parser, validate_huggingface_model_identifier, ) @@ -343,7 +344,9 @@ class HuggingFaceEmbeddingConfig(BaseConfig): Do not add the chat/embedding/rerank extension here. Let the handler do this. """ validate_huggingface_model_identifier(model) - if api_base is not None: + if is_url_model_destination(model): + completion_url = model + elif api_base is not None: completion_url = api_base elif "HF_API_BASE" in os.environ: completion_url = os.getenv("HF_API_BASE", "") diff --git a/litellm/llms/oobabooga/chat/oobabooga.py b/litellm/llms/oobabooga/chat/oobabooga.py index bcd3584efbe..090ee11d1a4 100644 --- a/litellm/llms/oobabooga/chat/oobabooga.py +++ b/litellm/llms/oobabooga/chat/oobabooga.py @@ -5,7 +5,11 @@ import litellm from litellm.llms.custom_httpx.http_handler import _get_httpx_client from litellm.utils import EmbeddingResponse, ModelResponse, Usage -from ..common_utils import OobaboogaError, validate_oobabooga_model_identifier +from ..common_utils import ( + OobaboogaError, + is_url_model_destination, + validate_oobabooga_model_identifier, +) from .transformation import OobaboogaConfig oobabooga_config = OobaboogaConfig() @@ -35,7 +39,9 @@ def completion( optional_params=optional_params, litellm_params=litellm_params, ) - if api_base: + if is_url_model_destination(model): + completion_url = model + elif api_base: completion_url = api_base else: raise OobaboogaError( @@ -96,7 +102,9 @@ def embedding( ): # Create completion URL validate_oobabooga_model_identifier(model) - if api_base: + if is_url_model_destination(model): + embeddings_url = model + elif api_base: embeddings_url = f"{api_base}/v1/embeddings" else: raise OobaboogaError( diff --git a/litellm/llms/oobabooga/common_utils.py b/litellm/llms/oobabooga/common_utils.py index 69f2cb519b7..d09f03f6a62 100644 --- a/litellm/llms/oobabooga/common_utils.py +++ b/litellm/llms/oobabooga/common_utils.py @@ -15,14 +15,28 @@ class OobaboogaError(BaseLLMException): super().__init__(status_code=status_code, message=message, headers=headers) +def is_url_model_destination(model: str) -> bool: + return model.startswith(("http://", "https://")) + + +def _should_reject_url_model_destinations() -> bool: + import litellm + + return getattr(litellm, "reject_url_model_destinations", True) is True + + def validate_oobabooga_model_identifier(model: str) -> None: """Oobabooga endpoints must be configured with api_base, not model URLs.""" if "://" not in model: return + if is_url_model_destination(model) and not _should_reject_url_model_destinations(): + return raise OobaboogaError( status_code=400, message=( "Invalid Oobabooga model identifier. Configure the endpoint with " - "api_base instead of passing a URL as the model." + "api_base instead of passing a URL as the model. To keep legacy " + "URL-valued models for trusted inputs, set " + "litellm.reject_url_model_destinations=False." ), ) diff --git a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py index 41006fb916c..93188da9c91 100644 --- a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py +++ b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py @@ -113,6 +113,26 @@ class TestGoogleAIStudioFilesTransformation: litellm_params=litellm_params, ) + def test_transform_retrieve_file_request_rejects_encoded_traversal_name(self): + litellm_params = {"api_key": "test-api-key"} + + with pytest.raises(ValueError, match="Invalid Gemini file name"): + self.handler.transform_retrieve_file_request( + file_id="files/..%2Fsecrets", + optional_params={}, + litellm_params=litellm_params, + ) + + def test_transform_retrieve_file_request_rejects_double_encoded_separator(self): + litellm_params = {"api_key": "test-api-key"} + + with pytest.raises(ValueError, match="Invalid Gemini file name"): + self.handler.transform_retrieve_file_request( + file_id="files/..%252Fsecrets", + optional_params={}, + litellm_params=litellm_params, + ) + @patch.dict("os.environ", {}, clear=True) @patch("litellm.llms.gemini.common_utils.get_secret_str", return_value=None) def test_transform_retrieve_file_request_missing_api_key(self, mock_get_secret): @@ -355,3 +375,16 @@ class TestGoogleAIStudioFilesTransformation: optional_params={}, litellm_params=litellm_params, ) + + def test_transform_delete_file_request_rejects_encoded_traversal_url(self): + litellm_params = { + "api_key": "test-api-key", + "api_base": "https://generativelanguage.googleapis.com", + } + + with pytest.raises(ValueError, match="Invalid Gemini file name"): + self.handler.transform_delete_file_request( + file_id="https://generativelanguage.googleapis.com/v1beta/files/..%2Fsecrets", + optional_params={}, + litellm_params=litellm_params, + ) diff --git a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py index c0bb56c1717..f4c2c372009 100644 --- a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py +++ b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py @@ -2,6 +2,7 @@ from unittest.mock import MagicMock, patch import pytest +import litellm from litellm.llms.huggingface.chat.transformation import HuggingFaceChatConfig from litellm.llms.huggingface.common_utils import HuggingFaceError from litellm.llms.huggingface.embedding.handler import HuggingFaceEmbedding @@ -25,6 +26,23 @@ def test_huggingface_chat_rejects_url_valued_model(): assert exc_info.value.status_code == 400 +def test_huggingface_chat_allows_legacy_url_model_when_rejection_disabled( + monkeypatch, +): + monkeypatch.setattr(litellm, "reject_url_model_destinations", False) + config = HuggingFaceChatConfig() + + complete_url = config.get_complete_url( + api_base=None, + api_key="hf-secret", + model="https://trusted.example", + optional_params={}, + litellm_params={}, + ) + + assert complete_url == "https://trusted.example/v1/chat/completions" + + def test_huggingface_chat_keeps_explicit_api_base_for_custom_endpoints(): config = HuggingFaceChatConfig() @@ -51,6 +69,20 @@ def test_huggingface_embedding_config_rejects_url_valued_model(): assert exc_info.value.status_code == 400 +def test_huggingface_embedding_config_allows_legacy_url_model_when_rejection_disabled( + monkeypatch, +): + monkeypatch.setattr(litellm, "reject_url_model_destinations", False) + config = HuggingFaceEmbeddingConfig() + + api_base = config.get_api_base( + api_base=None, + model="https://trusted.example/embeddings", + ) + + assert api_base == "https://trusted.example/embeddings" + + def test_huggingface_embedding_handler_rejects_before_task_lookup(): handler = HuggingFaceEmbedding() logging_obj = MagicMock() diff --git a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py index dab02637e50..2e43c01f381 100644 --- a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py +++ b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py @@ -2,6 +2,7 @@ from unittest.mock import MagicMock, patch import pytest +import litellm from litellm.llms.oobabooga.chat.oobabooga import completion, embedding from litellm.llms.oobabooga.common_utils import OobaboogaError @@ -26,6 +27,42 @@ def test_oobabooga_completion_rejects_url_valued_model_before_request(): mock_get.assert_not_called() +def test_oobabooga_completion_allows_legacy_url_model_when_rejection_disabled( + monkeypatch, +): + monkeypatch.setattr(litellm, "reject_url_model_destinations", False) + response = MagicMock() + client = MagicMock() + client.post.return_value = response + + with patch( + "litellm.llms.oobabooga.chat.oobabooga._get_httpx_client", + return_value=client, + ): + with patch( + "litellm.llms.oobabooga.chat.oobabooga.oobabooga_config.transform_response", + return_value="ok", + ): + result = completion( + model="https://trusted.example", + messages=[], + api_base=None, + model_response=MagicMock(), + print_verbose=MagicMock(), + encoding=MagicMock(), + api_key="ooba-secret", + logging_obj=MagicMock(), + optional_params={}, + litellm_params={}, + ) + + assert result == "ok" + client.post.assert_called_once() + assert ( + client.post.call_args.args[0] == "https://trusted.example/v1/chat/completions" + ) + + def test_oobabooga_embedding_rejects_url_valued_model_before_request(): with patch( "litellm.llms.oobabooga.chat.oobabooga.litellm.module_level_client.post" From ec07fbbb4b85014c0c51e8ce1577516a3ee8d7d8 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:20:41 -0700 Subject: [PATCH 014/160] chore(providers): keep URL model guard config-only --- litellm/__init__.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/litellm/__init__.py b/litellm/__init__.py index 16ae730384a..b740c228446 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -280,9 +280,7 @@ ssl_security_level: Optional[str] = None ssl_certificate: Optional[str] = None user_url_validation: bool = True user_url_allowed_hosts: List[str] = [] -reject_url_model_destinations: bool = os.getenv( - "LITELLM_REJECT_URL_MODEL_DESTINATIONS", "true" -).lower() not in ("false", "0") +reject_url_model_destinations: bool = True ssl_ecdh_curve: Optional[str] = ( None # Set to 'X25519' to disable PQC and improve performance ) From fd409f84b14e1d8efe9db3a7008b12b3e45fe78a Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:24:06 -0700 Subject: [PATCH 015/160] chore(proxy): refresh lazy openapi snapshot --- litellm/proxy/_lazy_openapi_snapshot.json | 34 +++++++++++------------ 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index 8331f748c6e..f8f58b46d66 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -3572,7 +3572,7 @@ "/anthropic/{endpoint}": { "delete": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3616,7 +3616,7 @@ }, "get": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3660,7 +3660,7 @@ }, "patch": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3704,7 +3704,7 @@ }, "post": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3748,7 +3748,7 @@ }, "put": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -13260,7 +13260,7 @@ "/langfuse/{endpoint}": { "delete": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13299,7 +13299,7 @@ }, "get": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13338,7 +13338,7 @@ }, "patch": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13377,7 +13377,7 @@ }, "post": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13416,7 +13416,7 @@ }, "put": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -26883,7 +26883,7 @@ "/toolset/{toolset_name}/mcp": { "delete": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -26922,7 +26922,7 @@ }, "get": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -26961,7 +26961,7 @@ }, "head": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27000,7 +27000,7 @@ }, "options": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27039,7 +27039,7 @@ }, "patch": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27078,7 +27078,7 @@ }, "post": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27117,7 +27117,7 @@ }, "put": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", From eca1f252e21c04b3edd2a50cbaac31b71fc0cbb2 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:27:29 -0700 Subject: [PATCH 016/160] chore(proxy): stabilize lazy openapi snapshot ids --- litellm/proxy/_lazy_openapi_snapshot.json | 34 +++++++++++------------ litellm/proxy/_lazy_openapi_snapshot.py | 13 +++++++++ 2 files changed, 30 insertions(+), 17 deletions(-) diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index f8f58b46d66..b8e9eb6c261 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -3572,7 +3572,7 @@ "/anthropic/{endpoint}": { "delete": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__get", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3616,7 +3616,7 @@ }, "get": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__get", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3660,7 +3660,7 @@ }, "patch": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__get", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3704,7 +3704,7 @@ }, "post": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__get", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3748,7 +3748,7 @@ }, "put": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__get", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -13260,7 +13260,7 @@ "/langfuse/{endpoint}": { "delete": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__get", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13299,7 +13299,7 @@ }, "get": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__get", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13338,7 +13338,7 @@ }, "patch": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__get", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13377,7 +13377,7 @@ }, "post": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__get", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13416,7 +13416,7 @@ }, "put": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__get", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -26883,7 +26883,7 @@ "/toolset/{toolset_name}/mcp": { "delete": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -26922,7 +26922,7 @@ }, "get": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -26961,7 +26961,7 @@ }, "head": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27000,7 +27000,7 @@ }, "options": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27039,7 +27039,7 @@ }, "patch": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27078,7 +27078,7 @@ }, "post": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27117,7 +27117,7 @@ }, "put": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", diff --git a/litellm/proxy/_lazy_openapi_snapshot.py b/litellm/proxy/_lazy_openapi_snapshot.py index 315f6a9742a..4b137cb70d1 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.py +++ b/litellm/proxy/_lazy_openapi_snapshot.py @@ -8,10 +8,13 @@ any drift as a neutral check. """ import json +import re import sys from pathlib import Path from typing import Dict, Optional +from fastapi.routing import APIRoute + SNAPSHOT_FILE = Path(__file__).parent / "_lazy_openapi_snapshot.json" @@ -25,6 +28,13 @@ def load_snapshot() -> Optional[Dict[str, Dict]]: return None +def _stable_unique_id(route: APIRoute) -> str: + operation_id = f"{route.name}{route.path_format}" + operation_id = re.sub(r"\W", "_", operation_id) + method = sorted(route.methods or [""])[0].lower() + return f"{operation_id}_{method}" + + def generate_snapshot() -> Dict[str, Dict]: import importlib @@ -51,6 +61,9 @@ def generate_snapshot() -> Dict[str, Dict]: ] if not feat_routes: continue + for route in feat_routes: + if isinstance(route, APIRoute): + route.unique_id = _stable_unique_id(route) full = get_openapi(title=app.title, version=app.version, routes=feat_routes) # Group all of a feature's routes under one tag. for path_ops in full.get("paths", {}).values(): From 6ca6220679da5bb9d324cf21efd1f6cca3120739 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:41:38 -0700 Subject: [PATCH 017/160] chore(proxy): split lazy openapi multi-method routes --- litellm/proxy/_lazy_openapi_snapshot.json | 28 ++++++------ litellm/proxy/_lazy_openapi_snapshot.py | 44 +++++++++++++++---- .../proxy/test_lazy_openapi_snapshot.py | 39 ++++++++++++++++ 3 files changed, 89 insertions(+), 22 deletions(-) create mode 100644 tests/test_litellm/proxy/test_lazy_openapi_snapshot.py diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index b8e9eb6c261..46a514c0870 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -3616,7 +3616,7 @@ }, "get": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3660,7 +3660,7 @@ }, "patch": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__patch", "parameters": [ { "in": "path", @@ -3704,7 +3704,7 @@ }, "post": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__post", "parameters": [ { "in": "path", @@ -3748,7 +3748,7 @@ }, "put": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__put", "parameters": [ { "in": "path", @@ -13299,7 +13299,7 @@ }, "get": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13338,7 +13338,7 @@ }, "patch": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__patch", "parameters": [ { "in": "path", @@ -13377,7 +13377,7 @@ }, "post": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__post", "parameters": [ { "in": "path", @@ -13416,7 +13416,7 @@ }, "put": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__put", "parameters": [ { "in": "path", @@ -26922,7 +26922,7 @@ }, "get": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_get", "parameters": [ { "in": "path", @@ -26961,7 +26961,7 @@ }, "head": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27000,7 +27000,7 @@ }, "options": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_options", "parameters": [ { "in": "path", @@ -27039,7 +27039,7 @@ }, "patch": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_patch", "parameters": [ { "in": "path", @@ -27078,7 +27078,7 @@ }, "post": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_post", "parameters": [ { "in": "path", @@ -27117,7 +27117,7 @@ }, "put": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", "parameters": [ { "in": "path", diff --git a/litellm/proxy/_lazy_openapi_snapshot.py b/litellm/proxy/_lazy_openapi_snapshot.py index 4b137cb70d1..dca54eb7fac 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.py +++ b/litellm/proxy/_lazy_openapi_snapshot.py @@ -10,10 +10,12 @@ any drift as a neutral check. import json import re import sys +from copy import copy from pathlib import Path -from typing import Dict, Optional +from typing import Dict, List, Optional from fastapi.routing import APIRoute +from starlette.routing import BaseRoute SNAPSHOT_FILE = Path(__file__).parent / "_lazy_openapi_snapshot.json" @@ -28,11 +30,36 @@ def load_snapshot() -> Optional[Dict[str, Dict]]: return None -def _stable_unique_id(route: APIRoute) -> str: +def _stable_unique_id(route: APIRoute, method: str) -> str: operation_id = f"{route.name}{route.path_format}" operation_id = re.sub(r"\W", "_", operation_id) - method = sorted(route.methods or [""])[0].lower() - return f"{operation_id}_{method}" + return f"{operation_id}_{method.lower()}" + + +def _routes_with_stable_unique_ids(routes: List[BaseRoute]) -> List[BaseRoute]: + stable_routes: List[BaseRoute] = [] + for route in routes: + if not isinstance(route, APIRoute) or not route.methods: + stable_routes.append(route) + continue + + methods = sorted(route.methods) + has_multiple_methods = len(methods) > 1 + for method in methods: + method_route = copy(route) + method_route.methods = {method} + if route.operation_id is not None: + method_route.operation_id = ( + f"{route.operation_id}_{method.lower()}" + if has_multiple_methods + else route.operation_id + ) + method_route.unique_id = method_route.operation_id + else: + method_route.unique_id = _stable_unique_id(route, method) + stable_routes.append(method_route) + + return stable_routes def generate_snapshot() -> Dict[str, Dict]: @@ -61,10 +88,11 @@ def generate_snapshot() -> Dict[str, Dict]: ] if not feat_routes: continue - for route in feat_routes: - if isinstance(route, APIRoute): - route.unique_id = _stable_unique_id(route) - full = get_openapi(title=app.title, version=app.version, routes=feat_routes) + full = get_openapi( + title=app.title, + version=app.version, + routes=_routes_with_stable_unique_ids(feat_routes), + ) # Group all of a feature's routes under one tag. for path_ops in full.get("paths", {}).values(): for op in path_ops.values(): diff --git a/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py b/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py new file mode 100644 index 00000000000..a5605a281f2 --- /dev/null +++ b/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py @@ -0,0 +1,39 @@ +from fastapi import FastAPI +from fastapi.openapi.utils import get_openapi +from fastapi.routing import APIRoute + +from litellm.proxy._lazy_openapi_snapshot import _routes_with_stable_unique_ids + + +def test_routes_with_stable_unique_ids_splits_multi_method_routes() -> None: + app = FastAPI() + + async def proxy_route() -> dict: + return {} + + app.add_api_route( + "/proxy/{endpoint:path}", + proxy_route, + methods=["GET", "POST", "DELETE"], + ) + + routes = [route for route in app.routes if isinstance(route, APIRoute)] + stable_routes = _routes_with_stable_unique_ids(routes) + + assert [route.methods for route in stable_routes] == [ + {"DELETE"}, + {"GET"}, + {"POST"}, + ] + + openapi = get_openapi(title="test", version="1", routes=stable_routes) + path_ops = openapi["paths"]["/proxy/{endpoint}"] + + operation_ids = { + method: operation["operationId"] for method, operation in path_ops.items() + } + assert operation_ids == { + "delete": "proxy_route_proxy__endpoint__delete", + "get": "proxy_route_proxy__endpoint__get", + "post": "proxy_route_proxy__endpoint__post", + } From 19f8c1013b690153882fff996c0c50d6911ecad4 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:50:15 -0700 Subject: [PATCH 018/160] fix(gemini): validate fully decoded file names --- litellm/llms/gemini/files/transformation.py | 2 +- .../gemini/files/test_gemini_files_transformation.py | 10 ++++++++++ 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/litellm/llms/gemini/files/transformation.py b/litellm/llms/gemini/files/transformation.py index fe7f81ab95d..d282878a4a5 100644 --- a/litellm/llms/gemini/files/transformation.py +++ b/litellm/llms/gemini/files/transformation.py @@ -279,7 +279,7 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): decoded_file_id = "" if len(parts) == 2: decoded_file_id = parts[1] - for _ in range(3): + while True: next_decoded_file_id = unquote(decoded_file_id) if next_decoded_file_id == decoded_file_id: break diff --git a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py index 93188da9c91..334c691fdba 100644 --- a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py +++ b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py @@ -133,6 +133,16 @@ class TestGoogleAIStudioFilesTransformation: litellm_params=litellm_params, ) + def test_transform_retrieve_file_request_rejects_deeply_encoded_separator(self): + litellm_params = {"api_key": "test-api-key"} + + with pytest.raises(ValueError, match="Invalid Gemini file name"): + self.handler.transform_retrieve_file_request( + file_id="files/..%2525252Fsecrets", + optional_params={}, + litellm_params=litellm_params, + ) + @patch.dict("os.environ", {}, clear=True) @patch("litellm.llms.gemini.common_utils.get_secret_str", return_value=None) def test_transform_retrieve_file_request_missing_api_key(self, mock_get_secret): From 87849b74b9b726dbaf1502c7a9c26fc064eb57f9 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 14:03:54 -0700 Subject: [PATCH 019/160] test(gemini): cover decoded delete file names --- .../files/test_gemini_files_transformation.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py index 334c691fdba..88010d01459 100644 --- a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py +++ b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py @@ -398,3 +398,16 @@ class TestGoogleAIStudioFilesTransformation: optional_params={}, litellm_params=litellm_params, ) + + def test_transform_delete_file_request_rejects_deeply_encoded_traversal_url(self): + litellm_params = { + "api_key": "test-api-key", + "api_base": "https://generativelanguage.googleapis.com", + } + + with pytest.raises(ValueError, match="Invalid Gemini file name"): + self.handler.transform_delete_file_request( + file_id="https://generativelanguage.googleapis.com/v1beta/files/..%2525252Fsecrets", + optional_params={}, + litellm_params=litellm_params, + ) From ad9aa43e86390f4e95bb133f86aad11e24c689b2 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 18:23:48 -0700 Subject: [PATCH 020/160] chore(proxy): scope skills and container resources --- litellm/llms/litellm_proxy/skills/handler.py | 60 +++- .../litellm_proxy/skills/transformation.py | 65 ++++- .../proxy/common_utils/resource_ownership.py | 75 +++++ .../proxy/container_endpoints/endpoints.py | 29 +- .../container_endpoints/handler_factory.py | 47 ++-- .../proxy/container_endpoints/ownership.py | 256 ++++++++++++++++++ litellm/proxy/hooks/litellm_skills/main.py | 14 +- litellm/skills/main.py | 29 +- .../test_container_proxy_ownership.py | 159 +++++++++++ .../litellm_proxy/test_skills_ownership.py | 118 ++++++++ 10 files changed, 797 insertions(+), 55 deletions(-) create mode 100644 litellm/proxy/common_utils/resource_ownership.py create mode 100644 litellm/proxy/container_endpoints/ownership.py create mode 100644 tests/test_litellm/containers/test_container_proxy_ownership.py create mode 100644 tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 8e5070c2724..ddd5ab78c9d 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -9,7 +9,13 @@ import uuid from typing import Any, Dict, List, Optional from litellm._logging import verbose_logger -from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest +from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth +from litellm.proxy.common_utils.resource_ownership import ( + get_primary_resource_owner_scope, + get_resource_owner_scopes, + is_proxy_admin, + user_can_access_resource_owner, +) def _prisma_skill_to_litellm(prisma_skill) -> LiteLLM_SkillsTable: @@ -58,6 +64,7 @@ class LiteLLMSkillsHandler: async def create_skill( data: NewSkillRequest, user_id: Optional[str] = None, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> LiteLLM_SkillsTable: """ Create a new skill in the LiteLLM database. @@ -72,6 +79,7 @@ class LiteLLMSkillsHandler: prisma_client = await LiteLLMSkillsHandler._get_prisma_client() skill_id = f"litellm_skill_{uuid.uuid4()}" + owner = get_primary_resource_owner_scope(user_api_key_dict) or user_id skill_data: Dict[str, Any] = { "skill_id": skill_id, @@ -79,8 +87,8 @@ class LiteLLMSkillsHandler: "description": data.description, "instructions": data.instructions, "source": "custom", - "created_by": user_id, - "updated_by": user_id, + "created_by": owner, + "updated_by": owner, } # Handle metadata @@ -111,6 +119,7 @@ class LiteLLMSkillsHandler: async def list_skills( limit: int = 20, offset: int = 0, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> List[LiteLLM_SkillsTable]: """ List skills from the LiteLLM database. @@ -128,16 +137,28 @@ class LiteLLMSkillsHandler: f"LiteLLMSkillsHandler: Listing skills with limit={limit}, offset={offset}" ) + find_many_kwargs: Dict[str, Any] = { + "take": limit, + "skip": offset, + "order": {"created_at": "desc"}, + } + if user_api_key_dict is not None and not is_proxy_admin(user_api_key_dict): + owner_scopes = get_resource_owner_scopes(user_api_key_dict) + if not owner_scopes: + return [] + find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} + skills = await prisma_client.db.litellm_skillstable.find_many( - take=limit, - skip=offset, - order={"created_at": "desc"}, + **find_many_kwargs ) return [_prisma_skill_to_litellm(s) for s in skills] @staticmethod - async def get_skill(skill_id: str) -> LiteLLM_SkillsTable: + async def get_skill( + skill_id: str, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, + ) -> LiteLLM_SkillsTable: """ Get a skill by ID from the LiteLLM database. @@ -161,10 +182,18 @@ class LiteLLMSkillsHandler: if skill is None: raise ValueError(f"Skill not found: {skill_id}") + if not user_can_access_resource_owner( + getattr(skill, "created_by", None), user_api_key_dict + ): + raise ValueError(f"Skill not found: {skill_id}") + return _prisma_skill_to_litellm(skill) @staticmethod - async def delete_skill(skill_id: str) -> Dict[str, str]: + async def delete_skill( + skill_id: str, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, + ) -> Dict[str, str]: """ Delete a skill by ID from the LiteLLM database. @@ -189,13 +218,21 @@ class LiteLLMSkillsHandler: if skill is None: raise ValueError(f"Skill not found: {skill_id}") + if not user_can_access_resource_owner( + getattr(skill, "created_by", None), user_api_key_dict + ): + raise ValueError(f"Skill not found: {skill_id}") + # Delete the skill await prisma_client.db.litellm_skillstable.delete(where={"skill_id": skill_id}) return {"id": skill_id, "type": "skill_deleted"} @staticmethod - async def fetch_skill_from_db(skill_id: str) -> Optional[LiteLLM_SkillsTable]: + async def fetch_skill_from_db( + skill_id: str, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, + ) -> Optional[LiteLLM_SkillsTable]: """ Fetch a skill from the database (used by skills injection hook). @@ -209,7 +246,10 @@ class LiteLLMSkillsHandler: LiteLLM_SkillsTable or None if not found """ try: - return await LiteLLMSkillsHandler.get_skill(skill_id) + return await LiteLLMSkillsHandler.get_skill( + skill_id, + user_api_key_dict=user_api_key_dict, + ) except ValueError: return None except Exception as e: diff --git a/litellm/llms/litellm_proxy/skills/transformation.py b/litellm/llms/litellm_proxy/skills/transformation.py index 4622bda4e80..199f13191fe 100644 --- a/litellm/llms/litellm_proxy/skills/transformation.py +++ b/litellm/llms/litellm_proxy/skills/transformation.py @@ -18,6 +18,7 @@ from litellm.types.utils import LlmProviders if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj + from litellm.proxy._types import UserAPIKeyAuth class LiteLLMSkillsTransformationHandler: @@ -44,6 +45,7 @@ class LiteLLMSkillsTransformationHandler: file_type: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, user_id: Optional[str] = None, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, _is_async: bool = False, logging_obj: Optional["LiteLLMLoggingObj"] = None, litellm_call_id: Optional[str] = None, @@ -99,6 +101,7 @@ class LiteLLMSkillsTransformationHandler: file_type=file_type, metadata=metadata, user_id=user_id, + user_api_key_dict=user_api_key_dict, ) import asyncio @@ -113,6 +116,7 @@ class LiteLLMSkillsTransformationHandler: file_type=file_type, metadata=metadata, user_id=user_id, + user_api_key_dict=user_api_key_dict, ) ) @@ -126,6 +130,7 @@ class LiteLLMSkillsTransformationHandler: file_type: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, user_id: Optional[str] = None, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, ) -> Skill: """Async implementation of create_skill.""" # Lazy import to avoid SDK dependency on proxy @@ -145,6 +150,7 @@ class LiteLLMSkillsTransformationHandler: db_skill = await LiteLLMSkillsHandler.create_skill( data=skill_request, user_id=user_id, + user_api_key_dict=user_api_key_dict, ) return self._db_skill_to_response(db_skill) @@ -156,6 +162,7 @@ class LiteLLMSkillsTransformationHandler: _is_async: bool = False, logging_obj: Optional["LiteLLMLoggingObj"] = None, litellm_call_id: Optional[str] = None, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, **kwargs, ) -> Union[ListSkillsResponse, Coroutine[Any, Any, ListSkillsResponse]]: """ @@ -182,18 +189,27 @@ class LiteLLMSkillsTransformationHandler: ) if _is_async: - return self._async_list_skills(limit=limit, offset=offset) + return self._async_list_skills( + limit=limit, + offset=offset, + user_api_key_dict=user_api_key_dict, + ) import asyncio return asyncio.get_event_loop().run_until_complete( - self._async_list_skills(limit=limit, offset=offset) + self._async_list_skills( + limit=limit, + offset=offset, + user_api_key_dict=user_api_key_dict, + ) ) async def _async_list_skills( self, limit: int = 20, offset: int = 0, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, ) -> ListSkillsResponse: """Async implementation of list_skills.""" # Lazy import to avoid SDK dependency on proxy @@ -202,6 +218,7 @@ class LiteLLMSkillsTransformationHandler: db_skills = await LiteLLMSkillsHandler.list_skills( limit=limit, offset=offset, + user_api_key_dict=user_api_key_dict, ) skills = [self._db_skill_to_response(s) for s in db_skills] @@ -217,6 +234,7 @@ class LiteLLMSkillsTransformationHandler: _is_async: bool = False, logging_obj: Optional["LiteLLMLoggingObj"] = None, litellm_call_id: Optional[str] = None, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, **kwargs, ) -> Union[Skill, Coroutine[Any, Any, Skill]]: """ @@ -242,20 +260,33 @@ class LiteLLMSkillsTransformationHandler: ) if _is_async: - return self._async_get_skill(skill_id=skill_id) + return self._async_get_skill( + skill_id=skill_id, + user_api_key_dict=user_api_key_dict, + ) import asyncio return asyncio.get_event_loop().run_until_complete( - self._async_get_skill(skill_id=skill_id) + self._async_get_skill( + skill_id=skill_id, + user_api_key_dict=user_api_key_dict, + ) ) - async def _async_get_skill(self, skill_id: str) -> Skill: + async def _async_get_skill( + self, + skill_id: str, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, + ) -> Skill: """Async implementation of get_skill.""" # Lazy import to avoid SDK dependency on proxy from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler - db_skill = await LiteLLMSkillsHandler.get_skill(skill_id=skill_id) + db_skill = await LiteLLMSkillsHandler.get_skill( + skill_id=skill_id, + user_api_key_dict=user_api_key_dict, + ) return self._db_skill_to_response(db_skill) def delete_skill_handler( @@ -264,6 +295,7 @@ class LiteLLMSkillsTransformationHandler: _is_async: bool = False, logging_obj: Optional["LiteLLMLoggingObj"] = None, litellm_call_id: Optional[str] = None, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, **kwargs, ) -> Union[DeleteSkillResponse, Coroutine[Any, Any, DeleteSkillResponse]]: """ @@ -289,20 +321,33 @@ class LiteLLMSkillsTransformationHandler: ) if _is_async: - return self._async_delete_skill(skill_id=skill_id) + return self._async_delete_skill( + skill_id=skill_id, + user_api_key_dict=user_api_key_dict, + ) import asyncio return asyncio.get_event_loop().run_until_complete( - self._async_delete_skill(skill_id=skill_id) + self._async_delete_skill( + skill_id=skill_id, + user_api_key_dict=user_api_key_dict, + ) ) - async def _async_delete_skill(self, skill_id: str) -> DeleteSkillResponse: + async def _async_delete_skill( + self, + skill_id: str, + user_api_key_dict: Optional["UserAPIKeyAuth"] = None, + ) -> DeleteSkillResponse: """Async implementation of delete_skill.""" # Lazy import to avoid SDK dependency on proxy from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler - result = await LiteLLMSkillsHandler.delete_skill(skill_id=skill_id) + result = await LiteLLMSkillsHandler.delete_skill( + skill_id=skill_id, + user_api_key_dict=user_api_key_dict, + ) return DeleteSkillResponse( id=result["id"], type=result.get("type", "skill_deleted"), diff --git a/litellm/proxy/common_utils/resource_ownership.py b/litellm/proxy/common_utils/resource_ownership.py new file mode 100644 index 00000000000..1bc769a8c05 --- /dev/null +++ b/litellm/proxy/common_utils/resource_ownership.py @@ -0,0 +1,75 @@ +from typing import List, Optional + +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + +def is_proxy_admin(user_api_key_dict: Optional[UserAPIKeyAuth]) -> bool: + if user_api_key_dict is None: + return False + + return ( + user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN + or user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value + ) + + +def get_resource_owner_scopes( + user_api_key_dict: Optional[UserAPIKeyAuth], +) -> List[str]: + """ + Return ownership scopes that may access a user-created proxy resource. + + Raw user_id is included for rows created before scope prefixes existed. + Prefixes avoid collisions when falling back to team/org/key ownership for + keys that do not have a user_id. + """ + if user_api_key_dict is None: + return [] + + scopes: List[str] = [] + + def _add(scope: Optional[str]) -> None: + if scope and scope not in scopes: + scopes.append(scope) + + if user_api_key_dict.user_id: + _add(user_api_key_dict.user_id) + _add(f"user:{user_api_key_dict.user_id}") + if user_api_key_dict.team_id: + _add(f"team:{user_api_key_dict.team_id}") + if user_api_key_dict.org_id: + _add(f"org:{user_api_key_dict.org_id}") + if user_api_key_dict.api_key: + _add(f"key:{user_api_key_dict.api_key}") + + return scopes + + +def get_primary_resource_owner_scope( + user_api_key_dict: Optional[UserAPIKeyAuth], +) -> Optional[str]: + if user_api_key_dict is None: + return None + + if user_api_key_dict.user_id: + return user_api_key_dict.user_id + if user_api_key_dict.team_id: + return f"team:{user_api_key_dict.team_id}" + if user_api_key_dict.org_id: + return f"org:{user_api_key_dict.org_id}" + if user_api_key_dict.api_key: + return f"key:{user_api_key_dict.api_key}" + return None + + +def user_can_access_resource_owner( + owner: Optional[str], + user_api_key_dict: Optional[UserAPIKeyAuth], +) -> bool: + if user_api_key_dict is None: + return True + if is_proxy_admin(user_api_key_dict): + return True + if owner is None: + return False + return owner in get_resource_owner_scopes(user_api_key_dict) diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index 45870d73d4b..9d4dd902992 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -14,6 +14,11 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( get_custom_llm_provider_from_request_headers, get_custom_llm_provider_from_request_query, ) +from litellm.proxy.container_endpoints.ownership import ( + assert_user_can_access_container, + filter_container_list_response, + record_container_owner, +) router = APIRouter() @@ -98,7 +103,7 @@ async def create_container( # Process request using ProxyBaseLLMRequestProcessing processor = ProxyBaseLLMRequestProcessing(data=data) try: - return await processor.base_process_llm_request( + response = await processor.base_process_llm_request( request=request, fastapi_response=fastapi_response, user_api_key_dict=user_api_key_dict, @@ -123,6 +128,11 @@ async def create_container( proxy_logging_obj=proxy_logging_obj, version=version, ) + return await record_container_owner( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) @router.get( @@ -191,7 +201,7 @@ async def list_containers( # Process request using ProxyBaseLLMRequestProcessing processor = ProxyBaseLLMRequestProcessing(data=data) try: - return await processor.base_process_llm_request( + response = await processor.base_process_llm_request( request=request, fastapi_response=fastapi_response, user_api_key_dict=user_api_key_dict, @@ -216,6 +226,11 @@ async def list_containers( proxy_logging_obj=proxy_logging_obj, version=version, ) + return await filter_container_list_response( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) @router.get( @@ -280,6 +295,11 @@ async def retrieve_container( ) # Add custom_llm_provider to data + _, custom_llm_provider = await assert_user_can_access_container( + container_id=container_id, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) data["custom_llm_provider"] = custom_llm_provider # Process request using ProxyBaseLLMRequestProcessing @@ -374,6 +394,11 @@ async def delete_container( ) # Add custom_llm_provider to data + _, custom_llm_provider = await assert_user_can_access_container( + container_id=container_id, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) data["custom_llm_provider"] = custom_llm_provider # Process request using ProxyBaseLLMRequestProcessing diff --git a/litellm/proxy/container_endpoints/handler_factory.py b/litellm/proxy/container_endpoints/handler_factory.py index fae7f939aed..67c1d4b0f5a 100644 --- a/litellm/proxy/container_endpoints/handler_factory.py +++ b/litellm/proxy/container_endpoints/handler_factory.py @@ -19,7 +19,9 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( get_custom_llm_provider_from_request_headers, get_custom_llm_provider_from_request_query, ) -from litellm.responses.utils import ResponsesAPIRequestUtils +from litellm.proxy.container_endpoints.ownership import ( + assert_user_can_access_container, +) def _load_endpoints_config() -> Dict: @@ -176,14 +178,11 @@ async def _process_binary_request( # Build litellm_params - credentials are resolved by provider config from env litellm_params = GenericLiteLLMParams() - # Decode container ID and extract provider info - decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) - original_container_id = decoded.get("response_id", container_id) - - # If container ID has encoded provider info and user didn't explicitly set provider, use it - decoded_provider = decoded.get("custom_llm_provider") - if decoded_provider and custom_llm_provider == "openai": - custom_llm_provider = decoded_provider + original_container_id, custom_llm_provider = await assert_user_can_access_container( + container_id=container_id, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) # Get the provider config container_provider_config = _get_container_provider_config(custom_llm_provider) @@ -284,16 +283,13 @@ async def _process_multipart_upload_request( or "openai" ) - # Decode container ID and extract provider info - decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) - original_container_id = decoded.get("response_id", container_id) + _, custom_llm_provider = await assert_user_can_access_container( + container_id=container_id, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) - # If container ID has encoded provider info and user didn't explicitly set provider, use it - decoded_provider = decoded.get("custom_llm_provider") - if decoded_provider and custom_llm_provider == "openai": - custom_llm_provider = decoded_provider - - data["container_id"] = original_container_id # Use decoded original ID + data["container_id"] = container_id data["custom_llm_provider"] = custom_llm_provider processor = ProxyBaseLLMRequestProcessing(data=data) @@ -361,18 +357,11 @@ async def _process_request( # Decode container_id if present in path_params if "container_id" in path_params: - decoded = ResponsesAPIRequestUtils._decode_container_id( - path_params["container_id"] + _, custom_llm_provider = await assert_user_can_access_container( + container_id=path_params["container_id"], + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, ) - original_container_id = decoded.get("response_id", path_params["container_id"]) - - # If container ID has encoded provider info and user didn't explicitly set provider, use it - decoded_provider = decoded.get("custom_llm_provider") - if decoded_provider and custom_llm_provider == "openai": - custom_llm_provider = decoded_provider - - # Update path_params with decoded original ID - data["container_id"] = original_container_id data["custom_llm_provider"] = custom_llm_provider diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py new file mode 100644 index 00000000000..1a62abc9f36 --- /dev/null +++ b/litellm/proxy/container_endpoints/ownership.py @@ -0,0 +1,256 @@ +from typing import Any, Dict, List, Optional, Set, Tuple + +from fastapi import HTTPException + +from litellm._logging import verbose_proxy_logger +from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.common_utils.resource_ownership import ( + get_primary_resource_owner_scope, + get_resource_owner_scopes, + is_proxy_admin, + user_can_access_resource_owner, +) +from litellm.responses.utils import ResponsesAPIRequestUtils + +CONTAINER_OBJECT_PURPOSE = "container" + + +def _container_model_object_id( + original_container_id: str, + custom_llm_provider: str, +) -> str: + return f"{CONTAINER_OBJECT_PURPOSE}:{custom_llm_provider}:{original_container_id}" + + +def decode_container_id_for_ownership( + container_id: str, + custom_llm_provider: str, +) -> Tuple[str, str]: + decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) + original_container_id = decoded.get("response_id", container_id) + decoded_provider = decoded.get("custom_llm_provider") + if decoded_provider and custom_llm_provider == "openai": + custom_llm_provider = decoded_provider + return original_container_id, custom_llm_provider + + +def _get_response_id(response: Any) -> Optional[str]: + if response is None: + return None + if isinstance(response, dict): + value = response.get("id") + else: + value = getattr(response, "id", None) + return value if isinstance(value, str) else None + + +def _dump_response(response: Any) -> Dict[str, Any]: + if isinstance(response, dict): + return response + if hasattr(response, "model_dump"): + return response.model_dump() + if hasattr(response, "dict"): + return response.dict() + return {"id": _get_response_id(response)} + + +async def _get_prisma_client(): + from litellm.proxy.proxy_server import prisma_client + + return prisma_client + + +async def record_container_owner( + response: Any, + user_api_key_dict: UserAPIKeyAuth, + custom_llm_provider: str, +) -> Any: + container_id = _get_response_id(response) + owner = get_primary_resource_owner_scope(user_api_key_dict) + prisma_client = await _get_prisma_client() + if is_proxy_admin(user_api_key_dict) and ( + container_id is None or owner is None or prisma_client is None + ): + return response + if container_id is None or owner is None or prisma_client is None: + raise HTTPException(status_code=500, detail="Unable to track container") + + original_container_id, resolved_provider = decode_container_id_for_ownership( + container_id, + custom_llm_provider, + ) + model_object_id = _container_model_object_id( + original_container_id, + resolved_provider, + ) + file_object = _dump_response(response) + file_object["custom_llm_provider"] = resolved_provider + file_object["provider_container_id"] = original_container_id + + try: + existing = await prisma_client.db.litellm_managedobjecttable.find_unique( + where={"model_object_id": model_object_id} + ) + if existing is not None: + if getattr(existing, "file_purpose", None) != CONTAINER_OBJECT_PURPOSE: + raise HTTPException(status_code=500, detail="Unable to track container") + if not user_can_access_resource_owner( + getattr(existing, "created_by", None), user_api_key_dict + ): + raise HTTPException(status_code=403, detail="Forbidden") + await prisma_client.db.litellm_managedobjecttable.update( + where={"model_object_id": model_object_id}, + data={ + "unified_object_id": container_id, + "file_object": file_object, + "updated_by": owner, + }, + ) + else: + await prisma_client.db.litellm_managedobjecttable.create( + data={ + "unified_object_id": container_id, + "model_object_id": model_object_id, + "file_object": file_object, + "file_purpose": CONTAINER_OBJECT_PURPOSE, + "created_by": owner, + "updated_by": owner, + } + ) + except HTTPException: + raise + except Exception as e: + verbose_proxy_logger.warning( + "Failed to record container ownership for container_id=%s: %s", + model_object_id, + e, + ) + raise HTTPException(status_code=500, detail="Unable to track container") + + return response + + +async def _get_container_owner( + original_container_id: str, + custom_llm_provider: str, +) -> Optional[str]: + prisma_client = await _get_prisma_client() + if prisma_client is None: + return None + + row = await prisma_client.db.litellm_managedobjecttable.find_first( + where={ + "model_object_id": _container_model_object_id( + original_container_id, + custom_llm_provider, + ), + "file_purpose": CONTAINER_OBJECT_PURPOSE, + } + ) + return getattr(row, "created_by", None) if row is not None else None + + +async def assert_user_can_access_container( + container_id: str, + user_api_key_dict: UserAPIKeyAuth, + custom_llm_provider: str, +) -> Tuple[str, str]: + original_container_id, resolved_provider = decode_container_id_for_ownership( + container_id, + custom_llm_provider, + ) + + if is_proxy_admin(user_api_key_dict): + return original_container_id, resolved_provider + + owner = await _get_container_owner(original_container_id, resolved_provider) + if not user_can_access_resource_owner(owner, user_api_key_dict): + raise HTTPException(status_code=403, detail="Forbidden") + + return original_container_id, resolved_provider + + +def _get_container_list_data(response: Any) -> Optional[List[Any]]: + if response is None: + return None + if isinstance(response, dict): + data = response.get("data") + else: + data = getattr(response, "data", None) + return data if isinstance(data, list) else None + + +def _set_container_list_data(response: Any, data: List[Any]) -> Any: + if isinstance(response, dict): + response["data"] = data + if data: + response["first_id"] = _get_response_id(data[0]) + response["last_id"] = _get_response_id(data[-1]) + else: + response["first_id"] = None + response["last_id"] = None + return response + + response.data = data + response.first_id = _get_response_id(data[0]) if data else None + response.last_id = _get_response_id(data[-1]) if data else None + return response + + +async def _get_allowed_container_ids( + user_api_key_dict: UserAPIKeyAuth, + custom_llm_provider: str, +) -> Set[str]: + prisma_client = await _get_prisma_client() + if prisma_client is None: + return set() + + owner_scopes = get_resource_owner_scopes(user_api_key_dict) + if not owner_scopes: + return set() + + rows = await prisma_client.db.litellm_managedobjecttable.find_many( + where={ + "file_purpose": CONTAINER_OBJECT_PURPOSE, + "created_by": {"in": owner_scopes}, + } + ) + return { + row.model_object_id + for row in rows + if getattr(row, "model_object_id", None) is not None + } + + +async def filter_container_list_response( + response: Any, + user_api_key_dict: UserAPIKeyAuth, + custom_llm_provider: str, +) -> Any: + if is_proxy_admin(user_api_key_dict): + return response + + data = _get_container_list_data(response) + if data is None: + return response + + allowed_container_ids = await _get_allowed_container_ids( + user_api_key_dict, + custom_llm_provider, + ) + filtered: List[Any] = [] + for item in data: + container_id = _get_response_id(item) + if container_id is None: + continue + original_container_id, resolved_provider = decode_container_id_for_ownership( + container_id, + custom_llm_provider, + ) + if ( + _container_model_object_id(original_container_id, resolved_provider) + in allowed_container_ids + ): + filtered.append(item) + + return _set_container_list_data(response, filtered) diff --git a/litellm/proxy/hooks/litellm_skills/main.py b/litellm/proxy/hooks/litellm_skills/main.py index 7c6bfbd6b2b..21e8bbbd308 100644 --- a/litellm/proxy/hooks/litellm_skills/main.py +++ b/litellm/proxy/hooks/litellm_skills/main.py @@ -110,7 +110,10 @@ class SkillsInjectionHook(CustomLogger): skill_id = skill.get("skill_id", "") if skill_id.startswith("litellm_"): # Fetch from LiteLLM DB - db_skill = await self._fetch_skill_from_db(skill_id) + db_skill = await self._fetch_skill_from_db( + skill_id, + user_api_key_dict=user_api_key_dict, + ) if db_skill: litellm_skills.append(db_skill) else: @@ -276,7 +279,9 @@ class SkillsInjectionHook(CustomLogger): return data async def _fetch_skill_from_db( - self, skill_id: str + self, + skill_id: str, + user_api_key_dict: UserAPIKeyAuth, ) -> Optional[LiteLLM_SkillsTable]: """ Fetch a skill from the LiteLLM database. @@ -290,7 +295,10 @@ class SkillsInjectionHook(CustomLogger): try: from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler - return await LiteLLMSkillsHandler.fetch_skill_from_db(skill_id) + return await LiteLLMSkillsHandler.fetch_skill_from_db( + skill_id, + user_api_key_dict=user_api_key_dict, + ) except Exception as e: verbose_proxy_logger.warning( f"SkillsInjectionHook: Error fetching skill {skill_id}: {e}" diff --git a/litellm/skills/main.py b/litellm/skills/main.py index 3ff0f52c641..cee811d84fd 100644 --- a/litellm/skills/main.py +++ b/litellm/skills/main.py @@ -34,6 +34,29 @@ DEFAULT_ANTHROPIC_API_BASE = "https://api.anthropic.com/v1" _litellm_skills_handler = None +def _get_user_api_key_auth_from_kwargs(kwargs: Dict[str, Any]) -> Optional[Any]: + for metadata_key in ("metadata", "litellm_metadata"): + metadata = kwargs.get(metadata_key) + if isinstance(metadata, dict) and metadata.get("user_api_key_auth") is not None: + return metadata["user_api_key_auth"] + return None + + +def _get_skill_request_metadata( + kwargs: Dict[str, Any], + extra_body: Optional[Dict[str, Any]], +) -> Optional[Dict[str, Any]]: + if extra_body and isinstance(extra_body.get("metadata"), dict): + return extra_body["metadata"] + + metadata = kwargs.get("metadata") + if isinstance(metadata, dict) and isinstance( + metadata.get("requester_metadata"), dict + ): + return metadata["requester_metadata"] + return None + + def _get_litellm_skills_handler(): """Lazy initialization of LiteLLM skills handler to avoid import overhead.""" global _litellm_skills_handler @@ -165,8 +188,9 @@ def create_skill( return _get_litellm_skills_handler().create_skill_handler( display_title=display_title, files=files, - metadata=extra_body.get("metadata") if extra_body else None, + metadata=_get_skill_request_metadata(kwargs, extra_body), user_id=kwargs.get("user_id"), + user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs), _is_async=_is_async, logging_obj=litellm_logging_obj, litellm_call_id=litellm_call_id, @@ -348,6 +372,7 @@ def list_skills( return _get_litellm_skills_handler().list_skills_handler( limit=limit or 20, offset=0, + user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs), _is_async=_is_async, logging_obj=litellm_logging_obj, litellm_call_id=litellm_call_id, @@ -523,6 +548,7 @@ def get_skill( if custom_llm_provider == LlmProviders.LITELLM_PROXY.value: return _get_litellm_skills_handler().get_skill_handler( skill_id=skill_id, + user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs), _is_async=_is_async, logging_obj=litellm_logging_obj, litellm_call_id=litellm_call_id, @@ -690,6 +716,7 @@ def delete_skill( if custom_llm_provider == LlmProviders.LITELLM_PROXY.value: return _get_litellm_skills_handler().delete_skill_handler( skill_id=skill_id, + user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs), _is_async=_is_async, logging_obj=litellm_logging_obj, litellm_call_id=litellm_call_id, diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py new file mode 100644 index 00000000000..760e522199d --- /dev/null +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -0,0 +1,159 @@ +from types import SimpleNamespace +from unittest.mock import AsyncMock + +import pytest +from fastapi import HTTPException + +from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.container_endpoints import ownership +from litellm.types.containers.main import ContainerListResponse, ContainerObject + + +def _container(container_id: str) -> ContainerObject: + return ContainerObject( + id=container_id, + object="container", + created_at=1, + status="active", + ) + + +@pytest.mark.asyncio +async def test_should_record_container_owner_with_original_provider_id(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + response = _container("cntr_provider") + + await ownership.record_container_owner( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + table.create.assert_awaited_once() + data = table.create.await_args.kwargs["data"] + assert data["model_object_id"] == "container:openai:cntr_provider" + assert data["file_purpose"] == ownership.CONTAINER_OBJECT_PURPOSE + assert data["created_by"] == "user-1" + + +@pytest.mark.asyncio +async def test_should_record_team_owner_for_keys_without_user_id(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(team_id="team-1") + + await ownership.record_container_owner( + response=_container("cntr_provider"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + data = table.create.await_args.kwargs["data"] + assert data["created_by"] == "team:team-1" + assert data["updated_by"] == "team:team-1" + + +@pytest.mark.asyncio +async def test_should_deny_container_access_for_different_owner(monkeypatch): + table = AsyncMock() + table.find_first.return_value = SimpleNamespace(created_by="user-2") + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + with pytest.raises(HTTPException) as exc: + await ownership.assert_user_can_access_container( + container_id="cntr_provider", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert exc.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_should_not_reassign_existing_container_to_different_owner(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = SimpleNamespace( + file_purpose=ownership.CONTAINER_OBJECT_PURPOSE, + created_by="user-2", + ) + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + with pytest.raises(HTTPException) as exc: + await ownership.record_container_owner( + response=_container("cntr_existing"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert exc.value.status_code == 403 + table.update.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_should_filter_container_list_to_owned_records(monkeypatch): + table = AsyncMock() + table.find_many.return_value = [ + SimpleNamespace(model_object_id="container:openai:cntr_owned"), + ] + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + response = ContainerListResponse( + object="list", + data=[_container("cntr_owned"), _container("cntr_other")], + has_more=False, + ) + + filtered = await ownership.filter_container_list_response( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert [item.id for item in filtered.data] == ["cntr_owned"] + assert filtered.first_id == "cntr_owned" + assert filtered.last_id == "cntr_owned" + where = table.find_many.await_args.kwargs["where"] + assert where["file_purpose"] == ownership.CONTAINER_OBJECT_PURPOSE + assert where["created_by"]["in"] == ["user-1", "user:user-1"] diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py new file mode 100644 index 00000000000..d5151b47a6f --- /dev/null +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -0,0 +1,118 @@ +from unittest.mock import AsyncMock + +import pytest + +from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler +from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth + + +def _skill(skill_id: str, created_by: str | None) -> LiteLLM_SkillsTable: + return LiteLLM_SkillsTable( + skill_id=skill_id, + display_title="skill", + created_by=created_by, + ) + + +@pytest.mark.asyncio +async def test_should_store_team_owner_for_keys_without_user_id(monkeypatch): + table = AsyncMock() + table.create.side_effect = lambda data: _skill(data["skill_id"], data["created_by"]) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + auth = UserAPIKeyAuth(team_id="team-1") + + skill = await LiteLLMSkillsHandler.create_skill( + data=NewSkillRequest(display_title="skill"), + user_api_key_dict=auth, + ) + + assert skill.created_by == "team:team-1" + assert table.create.await_args.kwargs["data"]["updated_by"] == "team:team-1" + + +@pytest.mark.asyncio +async def test_should_filter_list_skills_to_authenticated_owner_scopes(monkeypatch): + table = AsyncMock() + table.find_many.return_value = [_skill("litellm_skill_owner", "user-1")] + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + auth = UserAPIKeyAuth(user_id="user-1", team_id="team-1") + + skills = await LiteLLMSkillsHandler.list_skills(user_api_key_dict=auth) + + assert [skill.skill_id for skill in skills] == ["litellm_skill_owner"] + table.find_many.assert_awaited_once() + where = table.find_many.await_args.kwargs["where"] + assert where["created_by"]["in"] == [ + "user-1", + "user:user-1", + "team:team-1", + ] + + +@pytest.mark.asyncio +async def test_should_hide_skill_from_different_owner(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = _skill("litellm_skill_other", "user-2") + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + auth = UserAPIKeyAuth(user_id="user-1") + + with pytest.raises(ValueError, match="Skill not found"): + await LiteLLMSkillsHandler.get_skill( + "litellm_skill_other", + user_api_key_dict=auth, + ) + + +@pytest.mark.asyncio +async def test_should_scope_skill_injection_fetch_to_authenticated_user(monkeypatch): + from litellm.proxy.hooks.litellm_skills.main import SkillsInjectionHook + + fetch = AsyncMock(return_value=None) + monkeypatch.setattr(LiteLLMSkillsHandler, "fetch_skill_from_db", fetch) + + auth = UserAPIKeyAuth(user_id="user-1") + hook = SkillsInjectionHook() + data = { + "container": { + "skills": [ + {"skill_id": "litellm_skill_other"}, + ] + } + } + + response = await hook.async_pre_call_hook( + user_api_key_dict=auth, + cache=AsyncMock(), + data=data, + call_type="completion", + ) + + assert response == data + fetch.assert_awaited_once_with( + "litellm_skill_other", + user_api_key_dict=auth, + ) From ddc50e026e3483d3c6956f3af71d9ae3f52e5c76 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 01:32:41 +0000 Subject: [PATCH 021/160] chore(audit): audit-log /cache/settings + /config_overrides/hashicorp_vault mutations MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Follow-up to merged #26859 (team-callback audit log). The variant scan from that PR flagged two more high-risk admin endpoints whose mutations weren't audit-logged: - ``POST /cache/settings`` (cache_settings_endpoints.py) — writes the team / global Redis cache configuration, including credentials. An admin (or compromised admin) flipping the cache backend is a data-routing pivot — every subsequent LLM response cache write goes to the new destination — so the action needs to be traceable. - ``POST /config_overrides/hashicorp_vault`` and ``DELETE /config_overrides/hashicorp_vault`` (config_override_endpoints.py) — control the proxy's KMS config. Mutating these affects every secret retrieval going forward. Each endpoint now emits an ``LiteLLM_AuditLogs`` row gated on ``litellm.store_audit_logs`` (Enterprise feature), mirroring the shape merged in #26859. Both helpers redact every field value before serialization (replacing them with ``***REDACTED***`` while keeping field names) so the audit table cannot itself become a credential-harvest sink — Redis passwords / vault tokens / ``approle_secret_id`` / ``client_key`` would otherwise be persisted in plaintext JSON. Both helpers also attach a ``done_callback`` that surfaces a ``verbose_proxy_logger.warning`` when the fire-and-forget audit-log task fails, so a transient DB error doesn't silently lose the row. Adds ``CACHE_CONFIG_TABLE_NAME`` / ``CONFIG_OVERRIDES_TABLE_NAME`` to ``LitellmTableNames`` so the audit rows co-locate with the table they mutate. Tests: - /cache/settings: emits when ``store_audit_logs=True``, no emission when off, plaintext credentials don't appear in the serialized row. - /config_overrides/hashicorp_vault POST: same, plus checks the redaction of ``vault_token`` and ``vault_addr``. - /config_overrides/hashicorp_vault DELETE: emits with ``action="deleted"`` only when an actual row was removed; idempotent delete of a non-existent row produces no audit log. --- litellm/proxy/_types.py | 2 + .../cache_settings_endpoints.py | 122 +++++++++++++- .../config_override_endpoints.py | 132 ++++++++++++++- .../test_cache_settings_endpoints.py | 148 ++++++++++++++++- .../test_config_override_endpoints.py | 150 ++++++++++++++++++ 5 files changed, 548 insertions(+), 6 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 85320996911..9d0fc5afc08 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -190,6 +190,8 @@ class LitellmTableNames(str, enum.Enum): PROXY_MODEL_TABLE_NAME = "LiteLLM_ProxyModelTable" MANAGED_FILE_TABLE_NAME = "LiteLLM_ManagedFileTable" TOOL_TABLE_NAME = "LiteLLM_ToolTable" + CACHE_CONFIG_TABLE_NAME = "LiteLLM_CacheConfig" + CONFIG_OVERRIDES_TABLE_NAME = "LiteLLM_ConfigOverrides" class Litellm_EntityType(enum.Enum): diff --git a/litellm/proxy/management_endpoints/cache_settings_endpoints.py b/litellm/proxy/management_endpoints/cache_settings_endpoints.py index 8d6ec2cec1b..f643105b9b2 100644 --- a/litellm/proxy/management_endpoints/cache_settings_endpoints.py +++ b/litellm/proxy/management_endpoints/cache_settings_endpoints.py @@ -8,14 +8,22 @@ POST /cache/settings/test - Test cache connection with provided credentials POST /cache/settings - Save cache settings to database """ +import asyncio import json -from typing import Any, Dict, List, Optional +from datetime import datetime, timezone +from typing import Any, Dict, List, Mapping, Optional -from fastapi import APIRouter, Depends, HTTPException +from fastapi import APIRouter, Depends, Header, HTTPException from pydantic import BaseModel, Field +import litellm from litellm._logging import verbose_proxy_logger -from litellm.proxy._types import UserAPIKeyAuth +from litellm._uuid import uuid +from litellm.proxy._types import ( + LiteLLM_AuditLogs, + LitellmTableNames, + UserAPIKeyAuth, +) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.types.management_endpoints import ( CACHE_SETTINGS_FIELDS, @@ -26,6 +34,85 @@ from litellm.types.management_endpoints import ( router = APIRouter() +_REDACTED_VALUE = "***REDACTED***" + + +def _redact_settings(settings: Optional[Mapping[str, Any]]) -> Dict[str, Any]: + """Replace every value in a settings map with a fixed marker. + + Cache config carries Redis credentials (passwords, connection strings). + The audit-log row preserves the field names so a reader can see *which* + fields changed, but values are stripped so the audit table can't itself + become a credential-harvest sink. + """ + if not settings: + return {} + return {k: _REDACTED_VALUE for k in settings.keys()} + + +def _log_audit_task_exception(task: "asyncio.Task[None]") -> None: + """Surface a fire-and-forget audit-log task failure as a warning. + + ``asyncio.create_task`` swallows exceptions silently — if the audit + write fails we'd otherwise lose the row without any signal. + """ + if task.cancelled(): + return + exc = task.exception() + if exc is not None: + verbose_proxy_logger.warning( + "Failed to write cache-settings audit log: %s", exc + ) + + +async def _emit_cache_settings_audit_log( + *, + action: str, + before_settings: Optional[Mapping[str, Any]], + after_settings: Optional[Mapping[str, Any]], + user_api_key_dict: UserAPIKeyAuth, + litellm_changed_by: Optional[str], +) -> None: + """Emit an audit-log row for a /cache/settings mutation. + + Mirrors the ``store_audit_logs``-gated pattern used in + ``team_callback_endpoints.py``: fire-and-forget, no-op when audit + logging is disabled, with a done-callback that surfaces any task + exception. Captured under ``LiteLLM_CacheConfig`` so the row + co-locates with the table it mutates. + """ + if litellm.store_audit_logs is not True: + return + + from litellm.proxy.management_helpers.audit_logs import ( + create_audit_log_for_update, + ) + from litellm.proxy.proxy_server import litellm_proxy_admin_name + + task = asyncio.create_task( + create_audit_log_for_update( + request_data=LiteLLM_AuditLogs( + id=str(uuid.uuid4()), + updated_at=datetime.now(timezone.utc), + changed_by=litellm_changed_by + or user_api_key_dict.user_id + or litellm_proxy_admin_name, + changed_by_api_key=user_api_key_dict.api_key, + table_name=LitellmTableNames.CACHE_CONFIG_TABLE_NAME, + object_id="cache_config", + action=action, + updated_values=json.dumps( + {"settings": _redact_settings(after_settings)}, default=str + ), + before_value=json.dumps( + {"settings": _redact_settings(before_settings)}, default=str + ), + ) + ) + ) + task.add_done_callback(_log_audit_task_exception) + + class CacheSettingsManager: """ Manages cache settings initialization and updates. @@ -282,6 +369,10 @@ async def test_cache_connection( async def update_cache_settings( request: CacheSettingsUpdateRequest, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + litellm_changed_by: Optional[str] = Header( + None, + description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability", + ), ): """ Save cache settings to database and initialize cache. @@ -314,6 +405,19 @@ async def update_cache_settings( try: cache_settings = request.cache_settings.copy() + # Snapshot the prior settings (key set only — values get redacted in + # the audit row) so the audit-log entry shows which fields changed. + existing_row = await prisma_client.db.litellm_cacheconfig.find_unique( + where={"id": "cache_config"} + ) + before_settings: Optional[Dict[str, Any]] = None + if existing_row is not None and existing_row.cache_settings: + try: + before_settings = json.loads(existing_row.cache_settings) + except (TypeError, ValueError): + before_settings = None + action = "updated" if existing_row is not None else "created" + # Encrypt sensitive fields (keep redis_type for storage) encrypted_settings = proxy_config._encrypt_env_variables( environment_variables=cache_settings @@ -353,6 +457,18 @@ async def update_cache_settings( # Switch on LLM response caching proxy_config.switch_on_llm_response_caching() + # Cache settings carry Redis credentials and connection strings that + # control where LLM responses are cached. An admin (or compromised + # admin) flipping the cache backend silently is a data-routing + # pivot; emit an audit-log row so the action is traceable. + await _emit_cache_settings_audit_log( + action=action, + before_settings=before_settings, + after_settings=cache_settings, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=litellm_changed_by, + ) + return { "message": "Cache settings updated successfully", "status": "success", diff --git a/litellm/proxy/management_endpoints/config_override_endpoints.py b/litellm/proxy/management_endpoints/config_override_endpoints.py index d78c5526e66..e957e486505 100644 --- a/litellm/proxy/management_endpoints/config_override_endpoints.py +++ b/litellm/proxy/management_endpoints/config_override_endpoints.py @@ -1,10 +1,13 @@ import asyncio +import json import os -from typing import Any, Dict, Set +from datetime import datetime, timezone +from typing import Any, Dict, Mapping, Optional, Set -from fastapi import APIRouter, Depends, HTTPException +from fastapi import APIRouter, Depends, Header, HTTPException from pydantic import TypeAdapter +from litellm._uuid import uuid from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.litellm_core_utils.safe_json_loads import safe_json_loads @@ -20,6 +23,8 @@ from litellm.llms.custom_httpx.http_handler import get_async_httpx_client from litellm.proxy._types import ( CommonProxyErrors, KeyManagementSystem, + LiteLLM_AuditLogs, + LitellmTableNames, LitellmUserRoles, UserAPIKeyAuth, ) @@ -32,6 +37,82 @@ from litellm.types.proxy.management_endpoints.config_overrides import ( router = APIRouter() + +_AUDIT_REDACTED = "***REDACTED***" + + +def _redact_config(config: Optional[Mapping[str, Any]]) -> Dict[str, Any]: + """Strip values from a config snapshot before audit-log emission. + + Hashicorp Vault config carries ``vault_token``, ``approle_secret_id``, + ``client_key`` etc. Persisting them verbatim into ``LiteLLM_AuditLogs`` + would let anyone with read access to the audit table harvest the + proxy's KMS credentials. Keep keys, redact values. + """ + if not config: + return {} + return {k: _AUDIT_REDACTED for k in config.keys()} + + +def _log_audit_task_exception(task: "asyncio.Task[None]") -> None: + if task.cancelled(): + return + exc = task.exception() + if exc is not None: + verbose_proxy_logger.warning( + "Failed to write hashicorp-vault config audit log: %s", exc + ) + + +async def _emit_hashicorp_vault_audit_log( + *, + action: str, + before_config: Optional[Mapping[str, Any]], + after_config: Optional[Mapping[str, Any]], + user_api_key_dict: UserAPIKeyAuth, + litellm_changed_by: Optional[str], +) -> None: + """Emit an audit-log row for a /config_overrides/hashicorp_vault mutation. + + Mirrors the ``store_audit_logs``-gated pattern from + ``team_callback_endpoints.py``. Captured under + ``LiteLLM_ConfigOverrides`` so the row co-locates with the table it + mutates. + """ + import litellm + + if litellm.store_audit_logs is not True: + return + + from litellm.proxy.management_helpers.audit_logs import ( + create_audit_log_for_update, + ) + from litellm.proxy.proxy_server import litellm_proxy_admin_name + + task = asyncio.create_task( + create_audit_log_for_update( + request_data=LiteLLM_AuditLogs( + id=str(uuid.uuid4()), + updated_at=datetime.now(timezone.utc), + changed_by=litellm_changed_by + or user_api_key_dict.user_id + or litellm_proxy_admin_name, + changed_by_api_key=user_api_key_dict.api_key, + table_name=LitellmTableNames.CONFIG_OVERRIDES_TABLE_NAME, + object_id="hashicorp_vault", + action=action, + updated_values=json.dumps( + {"config": _redact_config(after_config)}, default=str + ), + before_value=json.dumps( + {"config": _redact_config(before_config)}, default=str + ), + ) + ) + ) + task.add_done_callback(_log_audit_task_exception) + + # --- Hashicorp Vault constants --- HASHICORP_ENV_VAR_MAPPING: Dict[str, str] = { @@ -144,6 +225,10 @@ def _clear_hashicorp_vault_state(proxy_config: Any) -> None: async def update_hashicorp_vault_config( config: HashicorpVaultConfig, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + litellm_changed_by: Optional[str] = Header( + None, + description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability", + ), ): """ Update Hashicorp Vault secret manager configuration. @@ -248,6 +333,18 @@ async def update_hashicorp_vault_config( # Update change-detection cache so the background reload doesn't redundantly re-init proxy_config._last_hashicorp_vault_config = safe_json_loads(config_value) + # Mutating the proxy's KMS config affects every secret retrieval going + # forward — emit an audit-log row so the action is traceable even + # though the secret_manager_client itself was just swapped under us. + before_config = existing_decrypted if existing_record is not None else env_values + await _emit_hashicorp_vault_audit_log( + action="updated" if existing_record is not None else "created", + before_config=before_config, + after_config=config_data, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=litellm_changed_by, + ) + return { "message": "Hashicorp Vault configuration updated successfully", "status": "success", @@ -319,6 +416,10 @@ async def get_hashicorp_vault_config( ) async def delete_hashicorp_vault_config( user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + litellm_changed_by: Optional[str] = Header( + None, + description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability", + ), ): """Delete Hashicorp Vault configuration. Idempotent.""" from litellm.proxy.proxy_server import prisma_client, proxy_config @@ -335,11 +436,27 @@ async def delete_hashicorp_vault_config( detail=CommonProxyErrors.db_not_connected_error.value, ) + # Capture the prior config before delete so the audit-log row can + # show *what* was removed (keys only — values get redacted). + existing_record = await prisma_client.db.litellm_configoverrides.find_unique( + where={"config_type": "hashicorp_vault"} + ) + before_config: Optional[Dict[str, Any]] = None + if existing_record is not None and existing_record.config_value is not None: + try: + before_config = proxy_config._decrypt_db_variables( + _parse_config_value(existing_record.config_value) + ) + except Exception: + before_config = None + # Delete DB record if it exists — ignore if not found + deleted = False try: await prisma_client.db.litellm_configoverrides.delete( where={"config_type": "hashicorp_vault"} ) + deleted = True except RecordNotFoundError: verbose_proxy_logger.debug( "No existing Hashicorp Vault config record to delete" @@ -347,6 +464,17 @@ async def delete_hashicorp_vault_config( _clear_hashicorp_vault_state(proxy_config) + # Only emit audit log if a row was actually removed; an idempotent + # delete on a non-existent row produces no security-relevant change. + if deleted: + await _emit_hashicorp_vault_audit_log( + action="deleted", + before_config=before_config, + after_config=None, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=litellm_changed_by, + ) + return { "message": "Hashicorp Vault configuration deleted successfully", "status": "success", diff --git a/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py index 251827b991c..849b9a077cd 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py @@ -12,12 +12,17 @@ sys.path.insert( 0, os.path.abspath("../../../..") ) # Adds the parent directory to the system path -from litellm.proxy._types import LitellmUserRoles +import json + +import litellm +from litellm.proxy._types import LitellmTableNames, LitellmUserRoles from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth from litellm.proxy.management_endpoints.cache_settings_endpoints import ( CacheSettingsManager, + CacheSettingsUpdateRequest, CacheTestRequest, test_cache_connection, + update_cache_settings, ) @@ -253,3 +258,144 @@ class TestCacheSettingsManager: # Verify cache was NOT initialized (params unchanged) mock_proxy_config._init_cache.assert_not_called() mock_proxy_config.switch_on_llm_response_caching.assert_not_called() + + +# ── Audit-log emission for /cache/settings ──────────────────────────────────── + + +def _admin_auth() -> UserAPIKeyAuth: + return UserAPIKeyAuth( + api_key="hashed", + user_id="admin-user", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + + +@pytest.mark.asyncio +async def test_update_cache_settings_emits_audit_log_when_enabled(monkeypatch): + """Cache config carries Redis credentials; mutation must emit an + audit-log row when ``store_audit_logs`` is on, with values redacted.""" + monkeypatch.setattr(litellm, "store_audit_logs", True) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_cacheconfig.find_unique = AsyncMock(return_value=None) + mock_prisma.db.litellm_cacheconfig.upsert = AsyncMock() + + proxy_config = MagicMock() + proxy_config._encrypt_env_variables = MagicMock( + side_effect=lambda environment_variables: dict(environment_variables) + ) + proxy_config._decrypt_db_variables = MagicMock( + side_effect=lambda variables_dict: dict(variables_dict) + ) + proxy_config._init_cache = MagicMock() + proxy_config.switch_on_llm_response_caching = MagicMock() + + audit_calls = [] + + async def capture(request_data): + audit_calls.append(request_data) + + with ( + patch( + "litellm.proxy.proxy_server.prisma_client", + mock_prisma, + ), + patch( + "litellm.proxy.proxy_server.proxy_config", + proxy_config, + ), + patch( + "litellm.proxy.proxy_server.store_model_in_db", + True, + ), + patch("litellm.proxy.proxy_server.litellm_proxy_admin_name", "admin"), + patch( + "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", + new=capture, + ), + ): + await update_cache_settings( + request=CacheSettingsUpdateRequest( + cache_settings={ + "type": "redis", + "host": "redis.example.com", + "password": "super-secret-redis-pw", + } + ), + user_api_key_dict=_admin_auth(), + litellm_changed_by=None, + ) + # asyncio.create_task fires the coroutine eagerly; await one tick to let + # the audit-log emit run before the test exits. + for _ in range(3): + await asyncio.sleep(0) + + assert len(audit_calls) == 1 + log = audit_calls[0] + assert log.table_name == LitellmTableNames.CACHE_CONFIG_TABLE_NAME + assert log.object_id == "cache_config" + assert log.action == "created" # no existing row → create + + after = json.loads(log.updated_values) + # Field names are preserved so an auditor can see what changed. + assert set(after["settings"].keys()) == {"type", "host", "password"} + # Plaintext values must NOT appear in the serialized row. + assert "super-secret-redis-pw" not in log.updated_values + assert "redis.example.com" not in log.updated_values + + +@pytest.mark.asyncio +async def test_update_cache_settings_no_audit_when_disabled(monkeypatch): + monkeypatch.setattr(litellm, "store_audit_logs", False) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_cacheconfig.find_unique = AsyncMock(return_value=None) + mock_prisma.db.litellm_cacheconfig.upsert = AsyncMock() + + proxy_config = MagicMock() + proxy_config._encrypt_env_variables = MagicMock( + side_effect=lambda environment_variables: dict(environment_variables) + ) + proxy_config._decrypt_db_variables = MagicMock( + side_effect=lambda variables_dict: dict(variables_dict) + ) + proxy_config._init_cache = MagicMock() + proxy_config.switch_on_llm_response_caching = MagicMock() + + audit_calls = [] + + async def capture(request_data): + audit_calls.append(request_data) + + with ( + patch( + "litellm.proxy.proxy_server.prisma_client", + mock_prisma, + ), + patch( + "litellm.proxy.proxy_server.proxy_config", + proxy_config, + ), + patch( + "litellm.proxy.proxy_server.store_model_in_db", + True, + ), + patch( + "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", + new=capture, + ), + ): + await update_cache_settings( + request=CacheSettingsUpdateRequest( + cache_settings={"type": "redis", "host": "redis.example.com"} + ), + user_api_key_dict=_admin_auth(), + litellm_changed_by=None, + ) + + assert audit_calls == [] + + +# Need an asyncio import for the eager-task drain pattern above. +import asyncio # noqa: E402 diff --git a/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py index db0b7883ea8..a36ea287130 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py @@ -272,3 +272,153 @@ async def test_hashicorp_vault_validation_errors_and_access_control( litellm.secret_manager_client = old_client litellm._key_management_system = old_kms _cleanup() + + +# ── Audit-log emission for /config_overrides/hashicorp_vault ───────────────── + + +class TestHashicorpVaultAuditLog: + """The KMS config endpoint controls every secret retrieval on the proxy. + A mutation (create/update/delete) must emit an audit-log row when + ``litellm.store_audit_logs`` is True, with credential values redacted + so the audit table can't itself be a credential-harvest sink.""" + + @pytest.mark.asyncio + async def test_post_emits_audit_log_with_redacted_values(self, client, monkeypatch): + monkeypatch.setattr(litellm, "store_audit_logs", True) + mock_prisma, mock_db = _make_mock_db() + mock_cfg = _make_mock_proxy_config() + monkeypatch.setattr(ps, "prisma_client", mock_prisma) + monkeypatch.setattr(ps, "proxy_config", mock_cfg) + _set_admin() + + audit_calls = [] + + async def capture(request_data): + audit_calls.append(request_data) + + from unittest.mock import patch + + try: + with patch( + "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", + new=capture, + ): + r = client.post( + VAULT_URL, + json={ + "vault_addr": "https://vault.example.com", + "vault_token": "my-very-secret-token", + }, + ) + assert r.status_code == 200 + import asyncio + + for _ in range(3): + await asyncio.sleep(0) + + assert len(audit_calls) == 1 + log = audit_calls[0] + assert log.action == "created" + assert log.object_id == "hashicorp_vault" + # Plaintext credentials must NOT appear anywhere in the row. + assert "my-very-secret-token" not in log.updated_values + assert "vault.example.com" not in log.updated_values + # Field names are kept so the auditor can see what changed. + after = json.loads(log.updated_values) + assert "vault_token" in after["config"] + assert "vault_addr" in after["config"] + finally: + _cleanup() + + @pytest.mark.asyncio + async def test_delete_emits_audit_log_only_when_row_existed( + self, client, monkeypatch + ): + monkeypatch.setattr(litellm, "store_audit_logs", True) + mock_prisma, mock_db = _make_mock_db() + mock_cfg = _make_mock_proxy_config() + monkeypatch.setattr(ps, "prisma_client", mock_prisma) + monkeypatch.setattr(ps, "proxy_config", mock_cfg) + _set_admin() + + audit_calls = [] + + async def capture(request_data): + audit_calls.append(request_data) + + from unittest.mock import patch + + try: + with patch( + "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", + new=capture, + ): + # Idempotent delete on an empty table → no row, no audit log. + mock_db.find_unique = AsyncMock(return_value=None) + mock_db.delete = AsyncMock(side_effect=RecordNotFoundError(MagicMock())) + r = client.delete(VAULT_URL) + assert r.status_code == 200 + import asyncio + + for _ in range(3): + await asyncio.sleep(0) + assert audit_calls == [] + + # Delete a real row → audit log fires with action="deleted". + mock_db.find_unique = AsyncMock( + return_value=_db_record( + { + "vault_addr": "enc_https://v.example.com", + "vault_token": "enc_t", + } + ) + ) + mock_db.delete = AsyncMock(return_value=None) + r = client.delete(VAULT_URL) + assert r.status_code == 200 + for _ in range(3): + await asyncio.sleep(0) + + assert len(audit_calls) == 1 + log = audit_calls[0] + assert log.action == "deleted" + # The before-snapshot must redact the token before logging. + assert "enc_t" not in log.before_value + assert "v.example.com" not in log.before_value + finally: + _cleanup() + + @pytest.mark.asyncio + async def test_no_audit_when_store_audit_logs_is_off(self, client, monkeypatch): + monkeypatch.setattr(litellm, "store_audit_logs", False) + mock_prisma, mock_db = _make_mock_db() + mock_cfg = _make_mock_proxy_config() + monkeypatch.setattr(ps, "prisma_client", mock_prisma) + monkeypatch.setattr(ps, "proxy_config", mock_cfg) + _set_admin() + + audit_calls = [] + + async def capture(request_data): + audit_calls.append(request_data) + + from unittest.mock import patch + + try: + with patch( + "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", + new=capture, + ): + r = client.post( + VAULT_URL, + json={ + "vault_addr": "https://vault.example.com", + "vault_token": "tok", + }, + ) + assert r.status_code == 200 + + assert audit_calls == [] + finally: + _cleanup() From 95c8406b587c4ea0125dc177050ba3460b3e3d43 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 18:34:12 -0700 Subject: [PATCH 022/160] chore(proxy): stabilize openapi snapshot ids --- litellm/proxy/_lazy_openapi_snapshot.json | 34 +++++++++++------------ litellm/proxy/proxy_server.py | 9 ++++++ 2 files changed, 26 insertions(+), 17 deletions(-) diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index 8331f748c6e..b8e9eb6c261 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -3572,7 +3572,7 @@ "/anthropic/{endpoint}": { "delete": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3616,7 +3616,7 @@ }, "get": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3660,7 +3660,7 @@ }, "patch": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3704,7 +3704,7 @@ }, "post": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3748,7 +3748,7 @@ }, "put": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -13260,7 +13260,7 @@ "/langfuse/{endpoint}": { "delete": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13299,7 +13299,7 @@ }, "get": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13338,7 +13338,7 @@ }, "patch": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13377,7 +13377,7 @@ }, "post": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13416,7 +13416,7 @@ }, "put": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -26883,7 +26883,7 @@ "/toolset/{toolset_name}/mcp": { "delete": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -26922,7 +26922,7 @@ }, "get": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -26961,7 +26961,7 @@ }, "head": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27000,7 +27000,7 @@ }, "options": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27039,7 +27039,7 @@ }, "patch": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27078,7 +27078,7 @@ }, "post": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -27117,7 +27117,7 @@ }, "put": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 6cba6a3e96b..b6cec92a1d1 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -6,6 +6,7 @@ import inspect import io import os import random +import re import secrets import shutil import subprocess @@ -950,6 +951,13 @@ async def proxy_startup_event(app: FastAPI): # noqa: PLR0915 await proxy_shutdown_event() # type: ignore[reportGeneralTypeIssues] +def _generate_stable_operation_id(route: Any) -> str: + operation_id = re.sub(r"\W", "_", f"{route.name}{route.path_format}") + if route.methods: + operation_id = f"{operation_id}_{sorted(route.methods)[0].lower()}" + return operation_id + + app = FastAPI( docs_url=_get_docs_url(), redoc_url=_get_redoc_url(), @@ -959,6 +967,7 @@ app = FastAPI( version=version, root_path=server_root_path, lifespan=proxy_startup_event, # type: ignore[reportGeneralTypeIssues] + generate_unique_id_function=_generate_stable_operation_id, ) vertex_live_passthrough_vertex_base = VertexBase() From d2a322074faf7619c05642ba2ec89489795af4ce Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 18:40:26 -0700 Subject: [PATCH 023/160] fix(proxy): preserve container ownership compatibility --- .../proxy/container_endpoints/endpoints.py | 10 +- .../container_endpoints/handler_factory.py | 12 +- .../proxy/container_endpoints/ownership.py | 47 +++- .../test_container_proxy_ownership.py | 234 ++++++++++++++++++ 4 files changed, 292 insertions(+), 11 deletions(-) diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index 9d4dd902992..93587262f58 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -295,11 +295,14 @@ async def retrieve_container( ) # Add custom_llm_provider to data - _, custom_llm_provider = await assert_user_can_access_container( + container_access = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) + custom_llm_provider = container_access[1] + # Keep the managed id in request data so downstream container utilities can + # preserve encoded routing metadata while decoding before the provider call. data["custom_llm_provider"] = custom_llm_provider # Process request using ProxyBaseLLMRequestProcessing @@ -394,11 +397,14 @@ async def delete_container( ) # Add custom_llm_provider to data - _, custom_llm_provider = await assert_user_can_access_container( + container_access = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) + custom_llm_provider = container_access[1] + # Keep the managed id in request data so downstream container utilities can + # preserve encoded routing metadata while decoding before the provider call. data["custom_llm_provider"] = custom_llm_provider # Process request using ProxyBaseLLMRequestProcessing diff --git a/litellm/proxy/container_endpoints/handler_factory.py b/litellm/proxy/container_endpoints/handler_factory.py index 67c1d4b0f5a..bb6f8a8db6f 100644 --- a/litellm/proxy/container_endpoints/handler_factory.py +++ b/litellm/proxy/container_endpoints/handler_factory.py @@ -283,12 +283,16 @@ async def _process_multipart_upload_request( or "openai" ) - _, custom_llm_provider = await assert_user_can_access_container( + container_access = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) + custom_llm_provider = container_access[1] + # Keep the managed container id in the forwarded request. The container API + # layer decodes it before the upstream provider call and uses embedded + # routing metadata to preserve model/deployment affinity. data["container_id"] = container_id data["custom_llm_provider"] = custom_llm_provider @@ -355,13 +359,15 @@ async def _process_request( or "openai" ) - # Decode container_id if present in path_params + # Validate container_id ownership if present in path_params. if "container_id" in path_params: - _, custom_llm_provider = await assert_user_can_access_container( + container_access = await assert_user_can_access_container( container_id=path_params["container_id"], user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) + custom_llm_provider = container_access[1] + # Preserve the managed id for downstream container decoding/routing. data["custom_llm_provider"] = custom_llm_provider diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 1a62abc9f36..e3d8da8b0de 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -1,3 +1,4 @@ +import os from typing import Any, Dict, List, Optional, Set, Tuple from fastapi import HTTPException @@ -13,6 +14,16 @@ from litellm.proxy.common_utils.resource_ownership import ( from litellm.responses.utils import ResponsesAPIRequestUtils CONTAINER_OBJECT_PURPOSE = "container" +ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV = "LITELLM_ALLOW_UNTRACKED_CONTAINER_ACCESS" +_IN_MEMORY_CONTAINER_OWNERS: Dict[str, str] = {} + + +def _allow_untracked_container_access() -> bool: + return os.getenv(ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, "").lower() in { + "1", + "true", + "yes", + } def _container_model_object_id( @@ -68,11 +79,9 @@ async def record_container_owner( container_id = _get_response_id(response) owner = get_primary_resource_owner_scope(user_api_key_dict) prisma_client = await _get_prisma_client() - if is_proxy_admin(user_api_key_dict) and ( - container_id is None or owner is None or prisma_client is None - ): + if is_proxy_admin(user_api_key_dict) and (container_id is None or owner is None): return response - if container_id is None or owner is None or prisma_client is None: + if container_id is None or owner is None: raise HTTPException(status_code=500, detail="Unable to track container") original_container_id, resolved_provider = decode_container_id_for_ownership( @@ -87,6 +96,15 @@ async def record_container_owner( file_object["custom_llm_provider"] = resolved_provider file_object["provider_container_id"] = original_container_id + if prisma_client is None: + existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + if existing_owner is not None and not user_can_access_resource_owner( + existing_owner, user_api_key_dict + ): + raise HTTPException(status_code=403, detail="Forbidden") + _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner + return response + try: existing = await prisma_client.db.litellm_managedobjecttable.find_unique( where={"model_object_id": model_object_id} @@ -136,7 +154,12 @@ async def _get_container_owner( ) -> Optional[str]: prisma_client = await _get_prisma_client() if prisma_client is None: - return None + return _IN_MEMORY_CONTAINER_OWNERS.get( + _container_model_object_id( + original_container_id, + custom_llm_provider, + ) + ) row = await prisma_client.db.litellm_managedobjecttable.find_first( where={ @@ -164,6 +187,13 @@ async def assert_user_can_access_container( return original_container_id, resolved_provider owner = await _get_container_owner(original_container_id, resolved_provider) + if owner is None and _allow_untracked_container_access(): + verbose_proxy_logger.warning( + "Allowing untracked container access because %s is enabled", + ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, + ) + return original_container_id, resolved_provider + if not user_can_access_resource_owner(owner, user_api_key_dict): raise HTTPException(status_code=403, detail="Forbidden") @@ -203,7 +233,12 @@ async def _get_allowed_container_ids( ) -> Set[str]: prisma_client = await _get_prisma_client() if prisma_client is None: - return set() + owner_scopes = get_resource_owner_scopes(user_api_key_dict) + return { + model_object_id + for model_object_id, owner in _IN_MEMORY_CONTAINER_OWNERS.items() + if owner in owner_scopes + } owner_scopes = get_resource_owner_scopes(user_api_key_dict) if not owner_scopes: diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 760e522199d..aed84b4fbe6 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -1,3 +1,4 @@ +import sys from types import SimpleNamespace from unittest.mock import AsyncMock @@ -6,9 +7,18 @@ from fastapi import HTTPException from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.container_endpoints import ownership +from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.containers.main import ContainerListResponse, ContainerObject +@pytest.fixture(autouse=True) +def clear_in_memory_container_owners(monkeypatch): + ownership._IN_MEMORY_CONTAINER_OWNERS.clear() + monkeypatch.delenv(ownership.ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, raising=False) + yield + ownership._IN_MEMORY_CONTAINER_OWNERS.clear() + + def _container(container_id: str) -> ContainerObject: return ContainerObject( id=container_id, @@ -72,6 +82,31 @@ async def test_should_record_team_owner_for_keys_without_user_id(monkeypatch): assert data["updated_by"] == "team:team-1" +@pytest.mark.asyncio +async def test_should_track_container_owner_in_memory_without_prisma(monkeypatch): + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=None), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + await ownership.record_container_owner( + response=_container("cntr_provider"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + original_id, provider = await ownership.assert_user_can_access_container( + container_id="cntr_provider", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert original_id == "cntr_provider" + assert provider == "openai" + + @pytest.mark.asyncio async def test_should_deny_container_access_for_different_owner(monkeypatch): table = AsyncMock() @@ -96,6 +131,45 @@ async def test_should_deny_container_access_for_different_owner(monkeypatch): assert exc.value.status_code == 403 +@pytest.mark.asyncio +async def test_should_deny_untracked_container_access_by_default(monkeypatch): + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=None), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + with pytest.raises(HTTPException) as exc: + await ownership.assert_user_can_access_container( + container_id="cntr_untracked", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert exc.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_should_allow_untracked_container_access_when_enabled(monkeypatch): + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=None), + ) + monkeypatch.setenv(ownership.ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, "true") + auth = UserAPIKeyAuth(user_id="user-1") + + original_id, provider = await ownership.assert_user_can_access_container( + container_id="cntr_untracked", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert original_id == "cntr_untracked" + assert provider == "openai" + + @pytest.mark.asyncio async def test_should_not_reassign_existing_container_to_different_owner(monkeypatch): table = AsyncMock() @@ -157,3 +231,163 @@ async def test_should_filter_container_list_to_owned_records(monkeypatch): where = table.find_many.await_args.kwargs["where"] assert where["file_purpose"] == ownership.CONTAINER_OBJECT_PURPOSE assert where["created_by"]["in"] == ["user-1", "user:user-1"] + + +@pytest.mark.asyncio +async def test_should_filter_container_list_with_in_memory_ownership(monkeypatch): + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=None), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + await ownership.record_container_owner( + response=_container("cntr_owned"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + response = ContainerListResponse( + object="list", + data=[_container("cntr_owned"), _container("cntr_other")], + has_more=False, + ) + + filtered = await ownership.filter_container_list_response( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert [item.id for item in filtered.data] == ["cntr_owned"] + + +@pytest.mark.asyncio +async def test_should_preserve_managed_container_id_for_proxy_forwarding(monkeypatch): + from litellm.proxy.container_endpoints import handler_factory + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + captured = {} + + class FakeProcessor: + def __init__(self, data): + captured["data"] = data + + async def base_process_llm_request(self, **kwargs): + return captured["data"] + + async def _handle_llm_api_exception(self, **kwargs): + raise kwargs["e"] + + monkeypatch.setattr( + handler_factory, + "ProxyBaseLLMRequestProcessing", + FakeProcessor, + ) + monkeypatch.setattr( + handler_factory, + "assert_user_can_access_container", + AsyncMock(return_value=("cntr_provider", "azure")), + ) + encoded_id = ResponsesAPIRequestUtils._build_container_id( + custom_llm_provider="azure", + model_id="router-gpt", + container_id="cntr_provider", + ) + + result = await handler_factory._process_request( + request=SimpleNamespace(query_params={}, headers={}), + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + route_type="alist_container_files", + path_params={"container_id": encoded_id}, + ) + + assert result["container_id"] == encoded_id + assert result["custom_llm_provider"] == "azure" + + +@pytest.mark.asyncio +async def test_should_preserve_managed_container_id_for_multipart_upload(monkeypatch): + from litellm.proxy.common_utils import http_parsing_utils + from litellm.proxy.container_endpoints import handler_factory + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + captured = {} + + class FakeProcessor: + def __init__(self, data): + captured["data"] = data + + async def base_process_llm_request(self, **kwargs): + return captured["data"] + + async def _handle_llm_api_exception(self, **kwargs): + raise kwargs["e"] + + monkeypatch.setattr( + handler_factory, + "ProxyBaseLLMRequestProcessing", + FakeProcessor, + ) + monkeypatch.setattr( + handler_factory, + "assert_user_can_access_container", + AsyncMock(return_value=("cntr_provider", "azure")), + ) + monkeypatch.setattr( + http_parsing_utils, + "get_form_data", + AsyncMock(return_value={}), + ) + monkeypatch.setattr( + http_parsing_utils, + "convert_upload_files_to_file_data", + AsyncMock(return_value={"file": ["file-data"]}), + ) + encoded_id = ResponsesAPIRequestUtils._build_container_id( + custom_llm_provider="azure", + model_id="router-gpt", + container_id="cntr_provider", + ) + + result = await handler_factory._process_multipart_upload_request( + request=SimpleNamespace(query_params={}, headers={}), + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + route_type="aupload_container_file", + container_id=encoded_id, + ) + + assert result["container_id"] == encoded_id + assert result["custom_llm_provider"] == "azure" + assert result["file"] == "file-data" From 0745b1872eb08e07091b82bcaa9a25f4ded0d1ce Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 18:46:14 -0700 Subject: [PATCH 024/160] test(proxy): cover container endpoint forwarding --- .../test_container_proxy_ownership.py | 108 ++++++++++++++++++ 1 file changed, 108 insertions(+) diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index aed84b4fbe6..d0b755645da 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -391,3 +391,111 @@ async def test_should_preserve_managed_container_id_for_multipart_upload(monkeyp assert result["container_id"] == encoded_id assert result["custom_llm_provider"] == "azure" assert result["file"] == "file-data" + + +@pytest.mark.asyncio +async def test_should_preserve_managed_container_id_for_proxy_retrieve(monkeypatch): + from litellm.proxy.container_endpoints import endpoints + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + captured = {} + + class FakeProcessor: + def __init__(self, data): + captured["data"] = data + + async def base_process_llm_request(self, **kwargs): + return captured["data"] + + async def _handle_llm_api_exception(self, **kwargs): + raise kwargs["e"] + + monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor) + monkeypatch.setattr( + endpoints, + "assert_user_can_access_container", + AsyncMock(return_value=("cntr_provider", "azure")), + ) + encoded_id = ResponsesAPIRequestUtils._build_container_id( + custom_llm_provider="azure", + model_id="router-gpt", + container_id="cntr_provider", + ) + + result = await endpoints.retrieve_container( + request=SimpleNamespace(query_params={}, headers={}), + container_id=encoded_id, + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + ) + + assert result["container_id"] == encoded_id + assert result["custom_llm_provider"] == "azure" + + +@pytest.mark.asyncio +async def test_should_preserve_managed_container_id_for_proxy_delete(monkeypatch): + from litellm.proxy.container_endpoints import endpoints + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + captured = {} + + class FakeProcessor: + def __init__(self, data): + captured["data"] = data + + async def base_process_llm_request(self, **kwargs): + return captured["data"] + + async def _handle_llm_api_exception(self, **kwargs): + raise kwargs["e"] + + monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor) + monkeypatch.setattr( + endpoints, + "assert_user_can_access_container", + AsyncMock(return_value=("cntr_provider", "azure")), + ) + encoded_id = ResponsesAPIRequestUtils._build_container_id( + custom_llm_provider="azure", + model_id="router-gpt", + container_id="cntr_provider", + ) + + result = await endpoints.delete_container( + request=SimpleNamespace(query_params={}, headers={}), + container_id=encoded_id, + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + ) + + assert result["container_id"] == encoded_id + assert result["custom_llm_provider"] == "azure" From aa1312ef75a2687e5aa676cecb5e758daef44d17 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 01:47:11 +0000 Subject: [PATCH 025/160] fix(audit): close NameError + mypy + asyncio-import nits MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three Greptile/CI findings on the prior commit: 1. **P1 (real bug):** ``before_config = existing_decrypted if existing_record is not None else env_values`` would NameError when ``existing_record`` exists but its ``config_value`` is null (a valid nullable DB state) — the upper branch only defines ``existing_decrypted`` when *both* conditions are met, but the ternary only checked the first. Pre-bind ``existing_decrypted: Optional[Dict] = None`` and ``env_values = {}`` above the if/else so both names are always in scope, and key the audit-log decision off ``existing_decrypted is not None`` instead. 2. **mypy lint:** ``action: str`` rejected — the field is typed ``AUDIT_ACTIONS = Literal[...]``. Annotate both helper signatures with ``AUDIT_ACTIONS`` and pre-bind the call-site ternary so mypy infers the literal correctly. 3. **P2:** ``import asyncio`` was at the bottom of the test file. Moved to the stdlib import block at top. --- .../cache_settings_endpoints.py | 5 +++-- .../config_override_endpoints.py | 16 ++++++++++++---- .../test_cache_settings_endpoints.py | 8 ++------ 3 files changed, 17 insertions(+), 12 deletions(-) diff --git a/litellm/proxy/management_endpoints/cache_settings_endpoints.py b/litellm/proxy/management_endpoints/cache_settings_endpoints.py index f643105b9b2..55eb321185c 100644 --- a/litellm/proxy/management_endpoints/cache_settings_endpoints.py +++ b/litellm/proxy/management_endpoints/cache_settings_endpoints.py @@ -20,6 +20,7 @@ import litellm from litellm._logging import verbose_proxy_logger from litellm._uuid import uuid from litellm.proxy._types import ( + AUDIT_ACTIONS, LiteLLM_AuditLogs, LitellmTableNames, UserAPIKeyAuth, @@ -67,7 +68,7 @@ def _log_audit_task_exception(task: "asyncio.Task[None]") -> None: async def _emit_cache_settings_audit_log( *, - action: str, + action: AUDIT_ACTIONS, before_settings: Optional[Mapping[str, Any]], after_settings: Optional[Mapping[str, Any]], user_api_key_dict: UserAPIKeyAuth, @@ -416,7 +417,7 @@ async def update_cache_settings( before_settings = json.loads(existing_row.cache_settings) except (TypeError, ValueError): before_settings = None - action = "updated" if existing_row is not None else "created" + action: AUDIT_ACTIONS = "updated" if existing_row is not None else "created" # Encrypt sensitive fields (keep redis_type for storage) encrypted_settings = proxy_config._encrypt_env_variables( diff --git a/litellm/proxy/management_endpoints/config_override_endpoints.py b/litellm/proxy/management_endpoints/config_override_endpoints.py index e957e486505..230ed7e425c 100644 --- a/litellm/proxy/management_endpoints/config_override_endpoints.py +++ b/litellm/proxy/management_endpoints/config_override_endpoints.py @@ -21,6 +21,7 @@ from litellm._logging import verbose_proxy_logger from litellm.litellm_core_utils.sensitive_data_masker import SensitiveDataMasker from litellm.llms.custom_httpx.http_handler import get_async_httpx_client from litellm.proxy._types import ( + AUDIT_ACTIONS, CommonProxyErrors, KeyManagementSystem, LiteLLM_AuditLogs, @@ -66,7 +67,7 @@ def _log_audit_task_exception(task: "asyncio.Task[None]") -> None: async def _emit_hashicorp_vault_audit_log( *, - action: str, + action: AUDIT_ACTIONS, before_config: Optional[Mapping[str, Any]], after_config: Optional[Mapping[str, Any]], user_api_key_dict: UserAPIKeyAuth, @@ -256,6 +257,8 @@ async def update_hashicorp_vault_config( existing_record = await prisma_client.db.litellm_configoverrides.find_unique( where={"config_type": "hashicorp_vault"} ) + existing_decrypted: Optional[Dict[str, Any]] = None + env_values: Dict[str, Any] = {} if existing_record is not None and existing_record.config_value is not None: existing_data = _parse_config_value(existing_record.config_value) existing_decrypted = proxy_config._decrypt_db_variables(existing_data) @@ -263,7 +266,8 @@ async def update_hashicorp_vault_config( if field not in config_data and existing_decrypted.get(field): config_data[field] = existing_decrypted[field] else: - # No DB record yet — merge from current env vars + # No DB record (or DB record with null config_value) — merge from + # current env vars instead. env_values = _get_current_env_values(HASHICORP_ENV_VAR_MAPPING) for field in HASHICORP_ENV_VAR_MAPPING: if field not in config_data and env_values.get(field): @@ -336,9 +340,13 @@ async def update_hashicorp_vault_config( # Mutating the proxy's KMS config affects every secret retrieval going # forward — emit an audit-log row so the action is traceable even # though the secret_manager_client itself was just swapped under us. - before_config = existing_decrypted if existing_record is not None else env_values + # ``existing_decrypted`` is only set when the DB row had a non-null + # ``config_value`` (the same branch that ran the merge above); + # otherwise fall back to whatever env vars were in scope. + before_config = existing_decrypted if existing_decrypted is not None else env_values + action: AUDIT_ACTIONS = "updated" if existing_decrypted is not None else "created" await _emit_hashicorp_vault_audit_log( - action="updated" if existing_record is not None else "created", + action=action, before_config=before_config, after_config=config_data, user_api_key_dict=user_api_key_dict, diff --git a/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py index 849b9a077cd..b892c4e556d 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py @@ -2,6 +2,8 @@ Unit tests for cache settings management endpoints """ +import asyncio +import json import os import sys from unittest.mock import AsyncMock, MagicMock, patch @@ -12,8 +14,6 @@ sys.path.insert( 0, os.path.abspath("../../../..") ) # Adds the parent directory to the system path -import json - import litellm from litellm.proxy._types import LitellmTableNames, LitellmUserRoles from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth @@ -395,7 +395,3 @@ async def test_update_cache_settings_no_audit_when_disabled(monkeypatch): ) assert audit_calls == [] - - -# Need an asyncio import for the eager-task drain pattern above. -import asyncio # noqa: E402 From e4741fbb2b985df2155e5d97061cc5c33a33d66e Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 18:53:44 -0700 Subject: [PATCH 026/160] fix(proxy): add legacy skill ownership opt-out --- litellm/llms/litellm_proxy/skills/handler.py | 41 +++++++++- .../litellm_proxy/test_skills_ownership.py | 78 +++++++++++++++++++ 2 files changed, 116 insertions(+), 3 deletions(-) diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index ddd5ab78c9d..7093874acd9 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -5,6 +5,7 @@ This module contains the actual database operations for skills CRUD. Used by the transformation layer and skills injection hook. """ +import os import uuid from typing import Any, Dict, List, Optional @@ -17,6 +18,32 @@ from litellm.proxy.common_utils.resource_ownership import ( user_can_access_resource_owner, ) +ALLOW_UNOWNED_SKILL_ACCESS_ENV = "LITELLM_ALLOW_UNOWNED_SKILL_ACCESS" + + +def _allow_unowned_skill_access() -> bool: + return os.getenv(ALLOW_UNOWNED_SKILL_ACCESS_ENV, "").lower() in { + "1", + "true", + "yes", + } + + +def _user_can_access_skill_owner( + owner: Optional[str], + user_api_key_dict: Optional[UserAPIKeyAuth], +) -> bool: + if owner is None and user_api_key_dict is not None: + if is_proxy_admin(user_api_key_dict): + return True + if _allow_unowned_skill_access(): + verbose_logger.warning( + "Allowing unowned skill access because %s is enabled", + ALLOW_UNOWNED_SKILL_ACCESS_ENV, + ) + return True + return user_can_access_resource_owner(owner, user_api_key_dict) + def _prisma_skill_to_litellm(prisma_skill) -> LiteLLM_SkillsTable: """ @@ -146,7 +173,15 @@ class LiteLLMSkillsHandler: owner_scopes = get_resource_owner_scopes(user_api_key_dict) if not owner_scopes: return [] - find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} + if _allow_unowned_skill_access(): + find_many_kwargs["where"] = { + "OR": [ + {"created_by": {"in": owner_scopes}}, + {"created_by": None}, + ] + } + else: + find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} skills = await prisma_client.db.litellm_skillstable.find_many( **find_many_kwargs @@ -182,7 +217,7 @@ class LiteLLMSkillsHandler: if skill is None: raise ValueError(f"Skill not found: {skill_id}") - if not user_can_access_resource_owner( + if not _user_can_access_skill_owner( getattr(skill, "created_by", None), user_api_key_dict ): raise ValueError(f"Skill not found: {skill_id}") @@ -218,7 +253,7 @@ class LiteLLMSkillsHandler: if skill is None: raise ValueError(f"Skill not found: {skill_id}") - if not user_can_access_resource_owner( + if not _user_can_access_skill_owner( getattr(skill, "created_by", None), user_api_key_dict ): raise ValueError(f"Skill not found: {skill_id}") diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index d5151b47a6f..fde1806f92c 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -3,9 +3,15 @@ from unittest.mock import AsyncMock import pytest from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler +from litellm.llms.litellm_proxy.skills import handler as skills_handler from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth +@pytest.fixture(autouse=True) +def clear_skill_ownership_env(monkeypatch): + monkeypatch.delenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, raising=False) + + def _skill(skill_id: str, created_by: str | None) -> LiteLLM_SkillsTable: return LiteLLM_SkillsTable( skill_id=skill_id, @@ -87,6 +93,78 @@ async def test_should_hide_skill_from_different_owner(monkeypatch): ) +@pytest.mark.asyncio +async def test_should_hide_unowned_skill_by_default(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = _skill("litellm_skill_unowned", None) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + auth = UserAPIKeyAuth(user_id="user-1") + + with pytest.raises(ValueError, match="Skill not found"): + await LiteLLMSkillsHandler.get_skill( + "litellm_skill_unowned", + user_api_key_dict=auth, + ) + + +@pytest.mark.asyncio +async def test_should_allow_unowned_skill_when_enabled(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = _skill("litellm_skill_unowned", None) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + monkeypatch.setenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, "true") + + auth = UserAPIKeyAuth(user_id="user-1") + + skill = await LiteLLMSkillsHandler.get_skill( + "litellm_skill_unowned", + user_api_key_dict=auth, + ) + + assert skill.skill_id == "litellm_skill_unowned" + + +@pytest.mark.asyncio +async def test_should_include_unowned_skills_in_list_when_enabled(monkeypatch): + table = AsyncMock() + table.find_many.return_value = [_skill("litellm_skill_unowned", None)] + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + monkeypatch.setenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, "true") + + auth = UserAPIKeyAuth(user_id="user-1") + + skills = await LiteLLMSkillsHandler.list_skills(user_api_key_dict=auth) + + assert [skill.skill_id for skill in skills] == ["litellm_skill_unowned"] + where = table.find_many.await_args.kwargs["where"] + assert where["OR"] == [ + {"created_by": {"in": ["user-1", "user:user-1"]}}, + {"created_by": None}, + ] + + @pytest.mark.asyncio async def test_should_scope_skill_injection_fetch_to_authenticated_user(monkeypatch): from litellm.proxy.hooks.litellm_skills.main import SkillsInjectionHook From 9376b30bca95f146adfb2af0e89760aa0496d735 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 19:01:37 -0700 Subject: [PATCH 027/160] fix(proxy): reset filtered container pagination --- .../proxy/container_endpoints/ownership.py | 3 + .../test_container_proxy_ownership.py | 70 +++++++++++++++++++ 2 files changed, 73 insertions(+) diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index e3d8da8b0de..2260d67b629 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -219,11 +219,14 @@ def _set_container_list_data(response: Any, data: List[Any]) -> Any: else: response["first_id"] = None response["last_id"] = None + response["has_more"] = False return response response.data = data response.first_id = _get_response_id(data[0]) if data else None response.last_id = _get_response_id(data[-1]) if data else None + if not data and hasattr(response, "has_more"): + response.has_more = False return response diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index d0b755645da..40397a18860 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -233,6 +233,76 @@ async def test_should_filter_container_list_to_owned_records(monkeypatch): assert where["created_by"]["in"] == ["user-1", "user:user-1"] +@pytest.mark.asyncio +async def test_should_clear_has_more_when_filtered_container_list_is_empty( + monkeypatch, +): + table = AsyncMock() + table.find_many.return_value = [ + SimpleNamespace(model_object_id="container:openai:cntr_owned"), + ] + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + response = ContainerListResponse( + object="list", + data=[_container("cntr_other")], + has_more=True, + ) + + filtered = await ownership.filter_container_list_response( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert filtered.data == [] + assert filtered.first_id is None + assert filtered.last_id is None + assert filtered.has_more is False + + +@pytest.mark.asyncio +async def test_should_clear_dict_has_more_when_filtered_container_list_is_empty( + monkeypatch, +): + table = AsyncMock() + table.find_many.return_value = [ + SimpleNamespace(model_object_id="container:openai:cntr_owned"), + ] + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + response = { + "object": "list", + "data": [{"id": "cntr_other"}], + "has_more": True, + } + + filtered = await ownership.filter_container_list_response( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert filtered["data"] == [] + assert filtered["first_id"] is None + assert filtered["last_id"] is None + assert filtered["has_more"] is False + + @pytest.mark.asyncio async def test_should_filter_container_list_with_in_memory_ownership(monkeypatch): monkeypatch.setattr( From 6aac4552f930fd9f7fc94f3bd22bc0a8de9f9fc8 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 19:13:20 -0700 Subject: [PATCH 028/160] fix(proxy): forward decoded container ids --- .../proxy/container_endpoints/endpoints.py | 27 ++++++---- .../container_endpoints/handler_factory.py | 46 +++++++++++------ .../proxy/container_endpoints/ownership.py | 35 +++++++++++-- .../test_container_proxy_ownership.py | 51 +++++++++++++++---- 4 files changed, 121 insertions(+), 38 deletions(-) diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index 93587262f58..72a7c6c8746 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -17,6 +17,7 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( from litellm.proxy.container_endpoints.ownership import ( assert_user_can_access_container, filter_container_list_response, + get_container_forwarding_params, record_container_owner, ) @@ -295,15 +296,18 @@ async def retrieve_container( ) # Add custom_llm_provider to data - container_access = await assert_user_can_access_container( + original_container_id, custom_llm_provider = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) - custom_llm_provider = container_access[1] - # Keep the managed id in request data so downstream container utilities can - # preserve encoded routing metadata while decoding before the provider call. - data["custom_llm_provider"] = custom_llm_provider + data.update( + get_container_forwarding_params( + container_id, + original_container_id, + custom_llm_provider, + ) + ) # Process request using ProxyBaseLLMRequestProcessing processor = ProxyBaseLLMRequestProcessing(data=data) @@ -397,15 +401,18 @@ async def delete_container( ) # Add custom_llm_provider to data - container_access = await assert_user_can_access_container( + original_container_id, custom_llm_provider = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) - custom_llm_provider = container_access[1] - # Keep the managed id in request data so downstream container utilities can - # preserve encoded routing metadata while decoding before the provider call. - data["custom_llm_provider"] = custom_llm_provider + data.update( + get_container_forwarding_params( + container_id, + original_container_id, + custom_llm_provider, + ) + ) # Process request using ProxyBaseLLMRequestProcessing processor = ProxyBaseLLMRequestProcessing(data=data) diff --git a/litellm/proxy/container_endpoints/handler_factory.py b/litellm/proxy/container_endpoints/handler_factory.py index bb6f8a8db6f..ee79ebd96ed 100644 --- a/litellm/proxy/container_endpoints/handler_factory.py +++ b/litellm/proxy/container_endpoints/handler_factory.py @@ -21,6 +21,7 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( ) from litellm.proxy.container_endpoints.ownership import ( assert_user_can_access_container, + get_container_forwarding_params, ) @@ -183,6 +184,13 @@ async def _process_binary_request( user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) + forwarding_params = get_container_forwarding_params( + container_id, + original_container_id, + custom_llm_provider, + ) + if "model_id" in forwarding_params: + litellm_params["model_id"] = forwarding_params["model_id"] # Get the provider config container_provider_config = _get_container_provider_config(custom_llm_provider) @@ -283,18 +291,19 @@ async def _process_multipart_upload_request( or "openai" ) - container_access = await assert_user_can_access_container( + original_container_id, custom_llm_provider = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) - custom_llm_provider = container_access[1] - # Keep the managed container id in the forwarded request. The container API - # layer decodes it before the upstream provider call and uses embedded - # routing metadata to preserve model/deployment affinity. - data["container_id"] = container_id - data["custom_llm_provider"] = custom_llm_provider + data.update( + get_container_forwarding_params( + container_id, + original_container_id, + custom_llm_provider, + ) + ) processor = ProxyBaseLLMRequestProcessing(data=data) try: @@ -361,15 +370,22 @@ async def _process_request( # Validate container_id ownership if present in path_params. if "container_id" in path_params: - container_access = await assert_user_can_access_container( - container_id=path_params["container_id"], - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, + original_container_id, custom_llm_provider = ( + await assert_user_can_access_container( + container_id=path_params["container_id"], + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) ) - custom_llm_provider = container_access[1] - # Preserve the managed id for downstream container decoding/routing. - - data["custom_llm_provider"] = custom_llm_provider + data.update( + get_container_forwarding_params( + path_params["container_id"], + original_container_id, + custom_llm_provider, + ) + ) + else: + data["custom_llm_provider"] = custom_llm_provider processor = ProxyBaseLLMRequestProcessing(data=data) try: diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 2260d67b629..b769b2c0953 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -45,6 +45,22 @@ def decode_container_id_for_ownership( return original_container_id, custom_llm_provider +def get_container_forwarding_params( + container_id: str, + original_container_id: str, + custom_llm_provider: str, +) -> Dict[str, str]: + params = { + "container_id": original_container_id, + "custom_llm_provider": custom_llm_provider, + } + decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) + model_id = decoded.get("model_id") + if isinstance(model_id, str) and model_id: + params["model_id"] = model_id + return params + + def _get_response_id(response: Any) -> Optional[str]: if response is None: return None @@ -139,11 +155,12 @@ async def record_container_owner( raise except Exception as e: verbose_proxy_logger.warning( - "Failed to record container ownership for container_id=%s: %s", + "Failed to persist container ownership for container_id=%s; " + "falling back to in-process tracking: %s", model_object_id, e, ) - raise HTTPException(status_code=500, detail="Unable to track container") + _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner return response @@ -210,7 +227,9 @@ def _get_container_list_data(response: Any) -> Optional[List[Any]]: return data if isinstance(data, list) else None -def _set_container_list_data(response: Any, data: List[Any]) -> Any: +def _set_container_list_data( + response: Any, data: List[Any], removed_filtered_items: bool = False +) -> Any: if isinstance(response, dict): response["data"] = data if data: @@ -220,6 +239,8 @@ def _set_container_list_data(response: Any, data: List[Any]) -> Any: response["first_id"] = None response["last_id"] = None response["has_more"] = False + if removed_filtered_items: + response["has_more"] = False return response response.data = data @@ -227,6 +248,8 @@ def _set_container_list_data(response: Any, data: List[Any]) -> Any: response.last_id = _get_response_id(data[-1]) if data else None if not data and hasattr(response, "has_more"): response.has_more = False + if removed_filtered_items and hasattr(response, "has_more"): + response.has_more = False return response @@ -291,4 +314,8 @@ async def filter_container_list_response( ): filtered.append(item) - return _set_container_list_data(response, filtered) + return _set_container_list_data( + response, + filtered, + removed_filtered_items=len(filtered) != len(data), + ) diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 40397a18860..5ec28e81155 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -82,6 +82,34 @@ async def test_should_record_team_owner_for_keys_without_user_id(monkeypatch): assert data["updated_by"] == "team:team-1" +@pytest.mark.asyncio +async def test_should_fallback_to_memory_when_persistent_owner_record_fails( + monkeypatch, +): + table = AsyncMock() + table.find_unique.side_effect = Exception("db unavailable") + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + await ownership.record_container_owner( + response=_container("cntr_provider"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert ( + ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_provider"] + == "user-1" + ) + + @pytest.mark.asyncio async def test_should_track_container_owner_in_memory_without_prisma(monkeypatch): monkeypatch.setattr( @@ -216,7 +244,7 @@ async def test_should_filter_container_list_to_owned_records(monkeypatch): response = ContainerListResponse( object="list", data=[_container("cntr_owned"), _container("cntr_other")], - has_more=False, + has_more=True, ) filtered = await ownership.filter_container_list_response( @@ -228,6 +256,7 @@ async def test_should_filter_container_list_to_owned_records(monkeypatch): assert [item.id for item in filtered.data] == ["cntr_owned"] assert filtered.first_id == "cntr_owned" assert filtered.last_id == "cntr_owned" + assert filtered.has_more is False where = table.find_many.await_args.kwargs["where"] assert where["file_purpose"] == ownership.CONTAINER_OBJECT_PURPOSE assert where["created_by"]["in"] == ["user-1", "user:user-1"] @@ -334,7 +363,7 @@ async def test_should_filter_container_list_with_in_memory_ownership(monkeypatch @pytest.mark.asyncio -async def test_should_preserve_managed_container_id_for_proxy_forwarding(monkeypatch): +async def test_should_forward_decoded_container_id_for_proxy_forwarding(monkeypatch): from litellm.proxy.container_endpoints import handler_factory proxy_server_stub = SimpleNamespace( @@ -388,12 +417,13 @@ async def test_should_preserve_managed_container_id_for_proxy_forwarding(monkeyp path_params={"container_id": encoded_id}, ) - assert result["container_id"] == encoded_id + assert result["container_id"] == "cntr_provider" assert result["custom_llm_provider"] == "azure" + assert result["model_id"] == "router-gpt" @pytest.mark.asyncio -async def test_should_preserve_managed_container_id_for_multipart_upload(monkeypatch): +async def test_should_forward_decoded_container_id_for_multipart_upload(monkeypatch): from litellm.proxy.common_utils import http_parsing_utils from litellm.proxy.container_endpoints import handler_factory @@ -458,13 +488,14 @@ async def test_should_preserve_managed_container_id_for_multipart_upload(monkeyp container_id=encoded_id, ) - assert result["container_id"] == encoded_id + assert result["container_id"] == "cntr_provider" assert result["custom_llm_provider"] == "azure" + assert result["model_id"] == "router-gpt" assert result["file"] == "file-data" @pytest.mark.asyncio -async def test_should_preserve_managed_container_id_for_proxy_retrieve(monkeypatch): +async def test_should_forward_decoded_container_id_for_proxy_retrieve(monkeypatch): from litellm.proxy.container_endpoints import endpoints proxy_server_stub = SimpleNamespace( @@ -513,12 +544,13 @@ async def test_should_preserve_managed_container_id_for_proxy_retrieve(monkeypat user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), ) - assert result["container_id"] == encoded_id + assert result["container_id"] == "cntr_provider" assert result["custom_llm_provider"] == "azure" + assert result["model_id"] == "router-gpt" @pytest.mark.asyncio -async def test_should_preserve_managed_container_id_for_proxy_delete(monkeypatch): +async def test_should_forward_decoded_container_id_for_proxy_delete(monkeypatch): from litellm.proxy.container_endpoints import endpoints proxy_server_stub = SimpleNamespace( @@ -567,5 +599,6 @@ async def test_should_preserve_managed_container_id_for_proxy_delete(monkeypatch user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), ) - assert result["container_id"] == encoded_id + assert result["container_id"] == "cntr_provider" assert result["custom_llm_provider"] == "azure" + assert result["model_id"] == "router-gpt" From f3cff9338e2c8f0dc7f95beee320f08b36a85b19 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 19:29:08 -0700 Subject: [PATCH 029/160] fix(proxy): harden resource ownership fallbacks --- .../proxy/common_utils/resource_ownership.py | 10 +- .../proxy/container_endpoints/endpoints.py | 20 +-- .../proxy/container_endpoints/ownership.py | 114 +++++++------ .../test_container_proxy_ownership.py | 158 ++++++++++++++++++ .../litellm_proxy/test_skills_ownership.py | 51 ++++++ 5 files changed, 294 insertions(+), 59 deletions(-) diff --git a/litellm/proxy/common_utils/resource_ownership.py b/litellm/proxy/common_utils/resource_ownership.py index 1bc769a8c05..9b55554fbc6 100644 --- a/litellm/proxy/common_utils/resource_ownership.py +++ b/litellm/proxy/common_utils/resource_ownership.py @@ -2,6 +2,8 @@ from typing import List, Optional from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth +UNSCOPED_RESOURCE_OWNER_SCOPE = "__litellm_unscoped_proxy__" + def is_proxy_admin(user_api_key_dict: Optional[UserAPIKeyAuth]) -> bool: if user_api_key_dict is None: @@ -41,6 +43,10 @@ def get_resource_owner_scopes( _add(f"org:{user_api_key_dict.org_id}") if user_api_key_dict.api_key: _add(f"key:{user_api_key_dict.api_key}") + if user_api_key_dict.token: + _add(f"key:{user_api_key_dict.token}") + if not scopes: + _add(UNSCOPED_RESOURCE_OWNER_SCOPE) return scopes @@ -59,7 +65,9 @@ def get_primary_resource_owner_scope( return f"org:{user_api_key_dict.org_id}" if user_api_key_dict.api_key: return f"key:{user_api_key_dict.api_key}" - return None + if user_api_key_dict.token: + return f"key:{user_api_key_dict.token}" + return UNSCOPED_RESOURCE_OWNER_SCOPE def user_can_access_resource_owner( diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index 72a7c6c8746..b67e1e28d8b 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -122,6 +122,11 @@ async def create_container( user_api_base=user_api_base, version=version, ) + return await record_container_owner( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) except Exception as e: raise await processor._handle_llm_api_exception( e=e, @@ -129,11 +134,6 @@ async def create_container( proxy_logging_obj=proxy_logging_obj, version=version, ) - return await record_container_owner( - response=response, - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, - ) @router.get( @@ -220,6 +220,11 @@ async def list_containers( user_api_base=user_api_base, version=version, ) + return await filter_container_list_response( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) except Exception as e: raise await processor._handle_llm_api_exception( e=e, @@ -227,11 +232,6 @@ async def list_containers( proxy_logging_obj=proxy_logging_obj, version=version, ) - return await filter_container_list_response( - response=response, - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, - ) @router.get( diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index b769b2c0953..edb1b65c715 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -94,10 +94,14 @@ async def record_container_owner( ) -> Any: container_id = _get_response_id(response) owner = get_primary_resource_owner_scope(user_api_key_dict) - prisma_client = await _get_prisma_client() if is_proxy_admin(user_api_key_dict) and (container_id is None or owner is None): return response - if container_id is None or owner is None: + if container_id is None: + verbose_proxy_logger.warning( + "Skipping container ownership tracking because provider response has no id" + ) + return response + if owner is None: raise HTTPException(status_code=500, detail="Unable to track container") original_container_id, resolved_provider = decode_container_id_for_ownership( @@ -112,16 +116,17 @@ async def record_container_owner( file_object["custom_llm_provider"] = resolved_provider file_object["provider_container_id"] = original_container_id - if prisma_client is None: - existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - if existing_owner is not None and not user_can_access_resource_owner( - existing_owner, user_api_key_dict - ): - raise HTTPException(status_code=403, detail="Forbidden") - _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner - return response - try: + prisma_client = await _get_prisma_client() + if prisma_client is None: + existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + if existing_owner is not None and not user_can_access_resource_owner( + existing_owner, user_api_key_dict + ): + raise HTTPException(status_code=403, detail="Forbidden") + _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner + return response + existing = await prisma_client.db.litellm_managedobjecttable.find_unique( where={"model_object_id": model_object_id} ) @@ -169,25 +174,30 @@ async def _get_container_owner( original_container_id: str, custom_llm_provider: str, ) -> Optional[str]: - prisma_client = await _get_prisma_client() - if prisma_client is None: - return _IN_MEMORY_CONTAINER_OWNERS.get( - _container_model_object_id( - original_container_id, - custom_llm_provider, - ) - ) - - row = await prisma_client.db.litellm_managedobjecttable.find_first( - where={ - "model_object_id": _container_model_object_id( - original_container_id, - custom_llm_provider, - ), - "file_purpose": CONTAINER_OBJECT_PURPOSE, - } + model_object_id = _container_model_object_id( + original_container_id, + custom_llm_provider, ) - return getattr(row, "created_by", None) if row is not None else None + try: + prisma_client = await _get_prisma_client() + if prisma_client is None: + return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + + row = await prisma_client.db.litellm_managedobjecttable.find_first( + where={ + "model_object_id": model_object_id, + "file_purpose": CONTAINER_OBJECT_PURPOSE, + } + ) + return getattr(row, "created_by", None) if row is not None else None + except Exception as e: + verbose_proxy_logger.warning( + "Failed to load container ownership for container_id=%s; " + "falling back to in-process tracking: %s", + model_object_id, + e, + ) + return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) async def assert_user_can_access_container( @@ -257,30 +267,38 @@ async def _get_allowed_container_ids( user_api_key_dict: UserAPIKeyAuth, custom_llm_provider: str, ) -> Set[str]: - prisma_client = await _get_prisma_client() - if prisma_client is None: - owner_scopes = get_resource_owner_scopes(user_api_key_dict) - return { - model_object_id - for model_object_id, owner in _IN_MEMORY_CONTAINER_OWNERS.items() - if owner in owner_scopes - } - owner_scopes = get_resource_owner_scopes(user_api_key_dict) if not owner_scopes: return set() - rows = await prisma_client.db.litellm_managedobjecttable.find_many( - where={ - "file_purpose": CONTAINER_OBJECT_PURPOSE, - "created_by": {"in": owner_scopes}, - } - ) - return { - row.model_object_id - for row in rows - if getattr(row, "model_object_id", None) is not None + in_memory_allowed_ids = { + model_object_id + for model_object_id, owner in _IN_MEMORY_CONTAINER_OWNERS.items() + if owner in owner_scopes } + try: + prisma_client = await _get_prisma_client() + if prisma_client is None: + return in_memory_allowed_ids + + rows = await prisma_client.db.litellm_managedobjecttable.find_many( + where={ + "file_purpose": CONTAINER_OBJECT_PURPOSE, + "created_by": {"in": owner_scopes}, + } + ) + return { + row.model_object_id + for row in rows + if getattr(row, "model_object_id", None) is not None + } + except Exception as e: + verbose_proxy_logger.warning( + "Failed to load allowed container ids; falling back to in-process " + "tracking: %s", + e, + ) + return in_memory_allowed_ids async def filter_container_list_response( diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 5ec28e81155..e801300b294 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -82,6 +82,83 @@ async def test_should_record_team_owner_for_keys_without_user_id(monkeypatch): assert data["updated_by"] == "team:team-1" +@pytest.mark.asyncio +async def test_should_record_token_owner_for_keys_without_user_team_or_org(monkeypatch): + table = AsyncMock() + table.find_unique.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(token="hashed-token") + + await ownership.record_container_owner( + response=_container("cntr_provider"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + data = table.create.await_args.kwargs["data"] + assert data["created_by"] == "key:hashed-token" + assert data["updated_by"] == "key:hashed-token" + + +@pytest.mark.asyncio +async def test_should_record_unscoped_owner_for_identityless_proxy_auth(monkeypatch): + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=None), + ) + auth = UserAPIKeyAuth() + + await ownership.record_container_owner( + response=_container("cntr_provider"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert ( + ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_provider"] + == "__litellm_unscoped_proxy__" + ) + original_id, provider = await ownership.assert_user_can_access_container( + container_id="cntr_provider", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + assert original_id == "cntr_provider" + assert provider == "openai" + + +@pytest.mark.asyncio +async def test_should_skip_owner_record_when_provider_response_has_no_id(monkeypatch): + table = AsyncMock() + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + response = {"object": "container"} + + returned = await ownership.record_container_owner( + response=response, + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + custom_llm_provider="openai", + ) + + assert returned == response + table.find_unique.assert_not_awaited() + table.create.assert_not_awaited() + + @pytest.mark.asyncio async def test_should_fallback_to_memory_when_persistent_owner_record_fails( monkeypatch, @@ -178,6 +255,55 @@ async def test_should_deny_untracked_container_access_by_default(monkeypatch): assert exc.value.status_code == 403 +@pytest.mark.asyncio +async def test_should_fallback_to_memory_when_owner_lookup_fails(monkeypatch): + table = AsyncMock() + table.find_first.side_effect = Exception("db unavailable") + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" + auth = UserAPIKeyAuth(user_id="user-1") + + original_id, provider = await ownership.assert_user_can_access_container( + container_id="cntr_owned", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert original_id == "cntr_owned" + assert provider == "openai" + + +@pytest.mark.asyncio +async def test_should_fail_closed_when_owner_lookup_fails_without_memory(monkeypatch): + table = AsyncMock() + table.find_first.side_effect = Exception("db unavailable") + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + with pytest.raises(HTTPException) as exc: + await ownership.assert_user_can_access_container( + container_id="cntr_owned", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert exc.value.status_code == 403 + + @pytest.mark.asyncio async def test_should_allow_untracked_container_access_when_enabled(monkeypatch): monkeypatch.setattr( @@ -362,6 +488,38 @@ async def test_should_filter_container_list_with_in_memory_ownership(monkeypatch assert [item.id for item in filtered.data] == ["cntr_owned"] +@pytest.mark.asyncio +async def test_should_filter_container_list_with_memory_when_db_lookup_fails( + monkeypatch, +): + table = AsyncMock() + table.find_many.side_effect = Exception("db unavailable") + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" + auth = UserAPIKeyAuth(user_id="user-1") + response = ContainerListResponse( + object="list", + data=[_container("cntr_owned"), _container("cntr_other")], + has_more=True, + ) + + filtered = await ownership.filter_container_list_response( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert [item.id for item in filtered.data] == ["cntr_owned"] + assert filtered.has_more is False + + @pytest.mark.asyncio async def test_should_forward_decoded_container_id_for_proxy_forwarding(monkeypatch): from litellm.proxy.container_endpoints import handler_factory diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index fde1806f92c..f6946e519d1 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -44,6 +44,57 @@ async def test_should_store_team_owner_for_keys_without_user_id(monkeypatch): assert table.create.await_args.kwargs["data"]["updated_by"] == "team:team-1" +@pytest.mark.asyncio +async def test_should_store_token_owner_for_keys_without_user_team_or_org(monkeypatch): + table = AsyncMock() + table.create.side_effect = lambda data: _skill(data["skill_id"], data["created_by"]) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + auth = UserAPIKeyAuth(token="hashed-token") + + skill = await LiteLLMSkillsHandler.create_skill( + data=NewSkillRequest(display_title="skill"), + user_api_key_dict=auth, + ) + + assert skill.created_by == "key:hashed-token" + assert table.create.await_args.kwargs["data"]["updated_by"] == "key:hashed-token" + + +@pytest.mark.asyncio +async def test_should_store_unscoped_owner_for_identityless_proxy_auth(monkeypatch): + table = AsyncMock() + table.create.side_effect = lambda data: _skill(data["skill_id"], data["created_by"]) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() + monkeypatch.setattr( + LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + auth = UserAPIKeyAuth() + + skill = await LiteLLMSkillsHandler.create_skill( + data=NewSkillRequest(display_title="skill"), + user_api_key_dict=auth, + ) + + assert skill.created_by == "__litellm_unscoped_proxy__" + assert ( + table.create.await_args.kwargs["data"]["updated_by"] + == "__litellm_unscoped_proxy__" + ) + + @pytest.mark.asyncio async def test_should_filter_list_skills_to_authenticated_owner_scopes(monkeypatch): table = AsyncMock() From 7b1e3f278be77d2f6cfca12b2d9190d2b280c8c2 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 19:34:20 -0700 Subject: [PATCH 030/160] test(proxy): cover container endpoint post processing --- .../test_container_proxy_ownership.py | 111 ++++++++++++++++++ 1 file changed, 111 insertions(+) diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index e801300b294..576e25bbbad 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -707,6 +707,117 @@ async def test_should_forward_decoded_container_id_for_proxy_retrieve(monkeypatc assert result["model_id"] == "router-gpt" +@pytest.mark.asyncio +async def test_should_record_container_owner_inside_create_endpoint(monkeypatch): + from litellm.proxy.container_endpoints import endpoints + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + response = _container("cntr_provider") + + class FakeProcessor: + def __init__(self, data): + pass + + async def base_process_llm_request(self, **kwargs): + return response + + async def _handle_llm_api_exception(self, **kwargs): + raise kwargs["e"] + + record_owner = AsyncMock(return_value=response) + monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor) + monkeypatch.setattr(endpoints, "record_container_owner", record_owner) + + result = await endpoints.create_container( + request=SimpleNamespace( + query_params={}, + headers={}, + json=AsyncMock(return_value={}), + body=AsyncMock(return_value=b"{}"), + ), + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + ) + + assert result == response + record_owner.assert_awaited_once_with( + response=response, + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + custom_llm_provider="openai", + ) + + +@pytest.mark.asyncio +async def test_should_filter_container_list_inside_list_endpoint(monkeypatch): + from litellm.proxy.container_endpoints import endpoints + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + response = ContainerListResponse( + object="list", + data=[_container("cntr_provider")], + has_more=False, + ) + + class FakeProcessor: + def __init__(self, data): + pass + + async def base_process_llm_request(self, **kwargs): + return response + + async def _handle_llm_api_exception(self, **kwargs): + raise kwargs["e"] + + filter_response = AsyncMock(return_value=response) + monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor) + monkeypatch.setattr( + endpoints, + "filter_container_list_response", + filter_response, + ) + + result = await endpoints.list_containers( + request=SimpleNamespace(query_params={}, headers={}), + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + ) + + assert result == response + filter_response.assert_awaited_once_with( + response=response, + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + custom_llm_provider="openai", + ) + + @pytest.mark.asyncio async def test_should_forward_decoded_container_id_for_proxy_delete(monkeypatch): from litellm.proxy.container_endpoints import endpoints From 20eb9c96caba8d6460cf54bedcc1885b58c3831b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 19:43:20 -0700 Subject: [PATCH 031/160] fix(proxy): avoid mutating container responses --- .../proxy/container_endpoints/ownership.py | 2 +- .../test_container_proxy_ownership.py | 29 +++++++++++++++++++ 2 files changed, 30 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index edb1b65c715..05634d506b7 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -73,7 +73,7 @@ def _get_response_id(response: Any) -> Optional[str]: def _dump_response(response: Any) -> Dict[str, Any]: if isinstance(response, dict): - return response + return dict(response) if hasattr(response, "model_dump"): return response.model_dump() if hasattr(response, "dict"): diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 576e25bbbad..8ebfd3ab6f7 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -57,6 +57,35 @@ async def test_should_record_container_owner_with_original_provider_id(monkeypat assert data["created_by"] == "user-1" +@pytest.mark.asyncio +async def test_should_not_mutate_dict_container_response_when_recording_owner( + monkeypatch, +): + table = AsyncMock() + table.find_unique.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + response = {"id": "cntr_provider", "object": "container"} + + returned = await ownership.record_container_owner( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert returned == {"id": "cntr_provider", "object": "container"} + data = table.create.await_args.kwargs["data"] + assert data["file_object"]["custom_llm_provider"] == "openai" + assert data["file_object"]["provider_container_id"] == "cntr_provider" + + @pytest.mark.asyncio async def test_should_record_team_owner_for_keys_without_user_id(monkeypatch): table = AsyncMock() From abd51fc30e1e33a610fd77c5ad20d374727c3738 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 02:44:47 +0000 Subject: [PATCH 032/160] fix(audit): label vault POST as updated when DB row exists MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Greptile P2 follow-up: when a litellm_configoverrides row exists with a NULL config_value (e.g. an earlier failed write left a stub), the audit action was mislabeled "created" because we keyed off existing_decrypted (which is only set when config_value is non-null). Key off existing_record instead — a row is a row regardless of its value. Also hoist asyncio + patch imports to module top in the test file. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../config_override_endpoints.py | 8 +-- .../test_config_override_endpoints.py | 59 +++++++++++++++---- 2 files changed, 52 insertions(+), 15 deletions(-) diff --git a/litellm/proxy/management_endpoints/config_override_endpoints.py b/litellm/proxy/management_endpoints/config_override_endpoints.py index 230ed7e425c..04e4c323554 100644 --- a/litellm/proxy/management_endpoints/config_override_endpoints.py +++ b/litellm/proxy/management_endpoints/config_override_endpoints.py @@ -340,11 +340,11 @@ async def update_hashicorp_vault_config( # Mutating the proxy's KMS config affects every secret retrieval going # forward — emit an audit-log row so the action is traceable even # though the secret_manager_client itself was just swapped under us. - # ``existing_decrypted`` is only set when the DB row had a non-null - # ``config_value`` (the same branch that ran the merge above); - # otherwise fall back to whatever env vars were in scope. + # Action keys off row existence (a row with NULL ``config_value`` is + # still an update). ``before_config`` falls back to env vars when the + # row was absent or its ``config_value`` was NULL. before_config = existing_decrypted if existing_decrypted is not None else env_values - action: AUDIT_ACTIONS = "updated" if existing_decrypted is not None else "created" + action: AUDIT_ACTIONS = "updated" if existing_record is not None else "created" await _emit_hashicorp_vault_audit_log( action=action, before_config=before_config, diff --git a/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py index a36ea287130..d90d589c504 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py @@ -1,6 +1,7 @@ +import asyncio import json import os -from unittest.mock import AsyncMock, MagicMock +from unittest.mock import AsyncMock, MagicMock, patch import pytest from fastapi.testclient import TestClient @@ -297,8 +298,6 @@ class TestHashicorpVaultAuditLog: async def capture(request_data): audit_calls.append(request_data) - from unittest.mock import patch - try: with patch( "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", @@ -312,8 +311,6 @@ class TestHashicorpVaultAuditLog: }, ) assert r.status_code == 200 - import asyncio - for _ in range(3): await asyncio.sleep(0) @@ -331,6 +328,52 @@ class TestHashicorpVaultAuditLog: finally: _cleanup() + @pytest.mark.asyncio + async def test_post_action_is_updated_when_row_exists_with_null_config_value( + self, client, monkeypatch + ): + """A row can exist in ``litellm_configoverrides`` with a NULL + ``config_value`` (e.g. an earlier failed write left a stub). + Re-POSTing must label the audit row as ``updated`` — the row + already exists — not ``created``.""" + monkeypatch.setattr(litellm, "store_audit_logs", True) + mock_prisma, mock_db = _make_mock_db() + mock_cfg = _make_mock_proxy_config() + monkeypatch.setattr(ps, "prisma_client", mock_prisma) + monkeypatch.setattr(ps, "proxy_config", mock_cfg) + _set_admin() + + # Row exists but ``config_value`` is NULL. + null_record = MagicMock() + null_record.config_value = None + mock_db.find_unique = AsyncMock(return_value=null_record) + + audit_calls = [] + + async def capture(request_data): + audit_calls.append(request_data) + + try: + with patch( + "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", + new=capture, + ): + r = client.post( + VAULT_URL, + json={ + "vault_addr": "https://vault.example.com", + "vault_token": "tok", + }, + ) + assert r.status_code == 200 + for _ in range(3): + await asyncio.sleep(0) + + assert len(audit_calls) == 1 + assert audit_calls[0].action == "updated" + finally: + _cleanup() + @pytest.mark.asyncio async def test_delete_emits_audit_log_only_when_row_existed( self, client, monkeypatch @@ -347,8 +390,6 @@ class TestHashicorpVaultAuditLog: async def capture(request_data): audit_calls.append(request_data) - from unittest.mock import patch - try: with patch( "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", @@ -359,8 +400,6 @@ class TestHashicorpVaultAuditLog: mock_db.delete = AsyncMock(side_effect=RecordNotFoundError(MagicMock())) r = client.delete(VAULT_URL) assert r.status_code == 200 - import asyncio - for _ in range(3): await asyncio.sleep(0) assert audit_calls == [] @@ -403,8 +442,6 @@ class TestHashicorpVaultAuditLog: async def capture(request_data): audit_calls.append(request_data) - from unittest.mock import patch - try: with patch( "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update", From 3a566c3938f6623cecd7190c04f09bacdd0feca9 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 19:55:00 -0700 Subject: [PATCH 033/160] fix(proxy): stabilize ownership fallback and openapi ids --- litellm/proxy/_lazy_openapi_snapshot.json | 90 +++++++++---------- litellm/proxy/_lazy_openapi_snapshot.py | 4 +- .../proxy/container_endpoints/ownership.py | 6 +- litellm/proxy/proxy_server.py | 73 +++++++++++++++ .../test_container_proxy_ownership.py | 57 ++++++++++++ .../proxy/test_swagger_chat_completions.py | 74 ++++++++++++++- 6 files changed, 255 insertions(+), 49 deletions(-) diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index b8e9eb6c261..e8b2d701691 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -3616,7 +3616,7 @@ }, "get": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3660,7 +3660,7 @@ }, "patch": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__patch", "parameters": [ { "in": "path", @@ -3704,7 +3704,7 @@ }, "post": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__post", "parameters": [ { "in": "path", @@ -3748,7 +3748,7 @@ }, "put": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", + "operationId": "anthropic_proxy_route_anthropic__endpoint__put", "parameters": [ { "in": "path", @@ -13299,7 +13299,7 @@ }, "get": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13338,7 +13338,7 @@ }, "patch": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__patch", "parameters": [ { "in": "path", @@ -13377,7 +13377,7 @@ }, "post": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__post", "parameters": [ { "in": "path", @@ -13416,7 +13416,7 @@ }, "put": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", + "operationId": "langfuse_proxy_route_langfuse__endpoint__put", "parameters": [ { "in": "path", @@ -14008,7 +14008,7 @@ "/mcp-rest/test/connection": { "post": { "description": "Test if we can connect to the provided MCP server before adding it", - "operationId": "test_connection_mcp_rest_test_connection_post", + "operationId": "test_connection_mcp_rest_test_connection_post_2", "requestBody": { "content": { "application/json": { @@ -14053,7 +14053,7 @@ "/mcp-rest/test/tools/list": { "post": { "description": "Preview tools available from MCP server before adding it", - "operationId": "test_tools_list_mcp_rest_test_tools_list_post", + "operationId": "test_tools_list_mcp_rest_test_tools_list_post_2", "requestBody": { "content": { "application/json": { @@ -14098,7 +14098,7 @@ "/mcp-rest/tools/call": { "post": { "description": "REST API to call a specific MCP tool with the provided arguments", - "operationId": "call_tool_rest_api_mcp_rest_tools_call_post", + "operationId": "call_tool_rest_api_mcp_rest_tools_call_post_2", "responses": { "200": { "content": { @@ -14123,7 +14123,7 @@ "/mcp-rest/tools/list": { "get": { "description": "List all available tools with information about the server they belong to.\n\nExample response:\n{\n \"tools\": [\n {\n \"name\": \"create_zap\",\n \"description\": \"Create a new zap\",\n \"inputSchema\": \"tool_input_schema\",\n \"mcp_info\": {\n \"server_name\": \"zapier\",\n \"logo_url\": \"https://www.zapier.com/logo.png\",\n }\n }\n ],\n \"error\": null,\n \"message\": \"Successfully retrieved tools\"\n}", - "operationId": "list_tool_rest_api_mcp_rest_tools_list_get", + "operationId": "list_tool_rest_api_mcp_rest_tools_list_get_2", "parameters": [ { "description": "The server id to list tools for", @@ -21896,7 +21896,7 @@ "/policies/usage/overview": { "get": { "description": "Return policy performance overview for the dashboard.", - "operationId": "policies_usage_overview_policies_usage_overview_get", + "operationId": "policies_usage_overview_policies_usage_overview_get_2", "parameters": [ { "description": "YYYY-MM-DD", @@ -22521,7 +22521,7 @@ "/policies/attachments/estimate-impact": { "post": { "description": "Estimate how many keys and teams would be affected by a policy attachment.\n\nUse this before creating an attachment to preview the blast radius.\n\nExample Request:\n```bash\ncurl -X POST \"http://localhost:4000/policies/attachments/estimate-impact\" \\\n -H \"Authorization: Bearer \" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"policy_name\": \"hipaa-compliance\",\n \"tags\": [\"healthcare\", \"health-*\"]\n }'\n```", - "operationId": "estimate_attachment_impact_policies_attachments_estimate_impact_post", + "operationId": "estimate_attachment_impact_policies_attachments_estimate_impact_post_2", "requestBody": { "content": { "application/json": { @@ -22568,7 +22568,7 @@ "/policies/resolve": { "post": { "description": "Resolve which policies and guardrails apply for a given context.\n\nUse this endpoint to debug \"what guardrails would apply to a request\nwith this team/key/model/tags combination?\"\n\nExample Request:\n```bash\ncurl -X POST \"http://localhost:4000/policies/resolve\" \\\n -H \"Authorization: Bearer \" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"tags\": [\"healthcare\"],\n \"model\": \"gpt-4\"\n }'\n```", - "operationId": "resolve_policies_for_context_policies_resolve_post", + "operationId": "resolve_policies_for_context_policies_resolve_post_2", "parameters": [ { "description": "Force a DB sync before resolving. Default uses in-memory cache.", @@ -26922,7 +26922,7 @@ }, "get": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_get", "parameters": [ { "in": "path", @@ -26961,7 +26961,7 @@ }, "head": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27000,7 +27000,7 @@ }, "options": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_options", "parameters": [ { "in": "path", @@ -27039,7 +27039,7 @@ }, "patch": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_patch", "parameters": [ { "in": "path", @@ -27078,7 +27078,7 @@ }, "post": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_post", "parameters": [ { "in": "path", @@ -27117,7 +27117,7 @@ }, "put": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", "parameters": [ { "in": "path", @@ -28329,7 +28329,7 @@ "/v1/vector_stores": { "get": { "description": "List vector stores.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/list", - "operationId": "vector_store_list_v1_vector_stores_get", + "operationId": "vector_store_list_v1_vector_stores_get_2", "parameters": [ { "in": "query", @@ -28430,7 +28430,7 @@ }, "post": { "description": "Create a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/create\n\nSupports target_model_names parameter for creating vector stores across multiple models:\n```json\n{\n \"name\": \"my-vector-store\",\n \"target_model_names\": \"gpt-4,gemini-2.0\"\n}\n```", - "operationId": "vector_store_create_v1_vector_stores_post", + "operationId": "vector_store_create_v1_vector_stores_post_2", "responses": { "200": { "content": { @@ -28455,7 +28455,7 @@ "/v1/vector_stores/{vector_store_id}": { "delete": { "description": "Delete a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/delete", - "operationId": "vector_store_delete_v1_vector_stores__vector_store_id__delete", + "operationId": "vector_store_delete_v1_vector_stores__vector_store_id__delete_2", "parameters": [ { "in": "path", @@ -28499,7 +28499,7 @@ }, "get": { "description": "Retrieve a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/retrieve", - "operationId": "vector_store_retrieve_v1_vector_stores__vector_store_id__get", + "operationId": "vector_store_retrieve_v1_vector_stores__vector_store_id__get_2", "parameters": [ { "in": "path", @@ -28543,7 +28543,7 @@ }, "post": { "description": "Update a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/modify", - "operationId": "vector_store_update_v1_vector_stores__vector_store_id__post", + "operationId": "vector_store_update_v1_vector_stores__vector_store_id__post_2", "parameters": [ { "in": "path", @@ -28588,7 +28588,7 @@ }, "/v1/vector_stores/{vector_store_id}/files": { "get": { - "operationId": "vector_store_file_list_v1_vector_stores__vector_store_id__files_get", + "operationId": "vector_store_file_list_v1_vector_stores__vector_store_id__files_get_2", "parameters": [ { "in": "path", @@ -28631,7 +28631,7 @@ ] }, "post": { - "operationId": "vector_store_file_create_v1_vector_stores__vector_store_id__files_post", + "operationId": "vector_store_file_create_v1_vector_stores__vector_store_id__files_post_2", "parameters": [ { "in": "path", @@ -28676,7 +28676,7 @@ }, "/v1/vector_stores/{vector_store_id}/files/{file_id}": { "delete": { - "operationId": "vector_store_file_delete_v1_vector_stores__vector_store_id__files__file_id__delete", + "operationId": "vector_store_file_delete_v1_vector_stores__vector_store_id__files__file_id__delete_2", "parameters": [ { "in": "path", @@ -28728,7 +28728,7 @@ ] }, "get": { - "operationId": "vector_store_file_retrieve_v1_vector_stores__vector_store_id__files__file_id__get", + "operationId": "vector_store_file_retrieve_v1_vector_stores__vector_store_id__files__file_id__get_2", "parameters": [ { "in": "path", @@ -28780,7 +28780,7 @@ ] }, "post": { - "operationId": "vector_store_file_update_v1_vector_stores__vector_store_id__files__file_id__post", + "operationId": "vector_store_file_update_v1_vector_stores__vector_store_id__files__file_id__post_2", "parameters": [ { "in": "path", @@ -28834,7 +28834,7 @@ }, "/v1/vector_stores/{vector_store_id}/files/{file_id}/content": { "get": { - "operationId": "vector_store_file_content_v1_vector_stores__vector_store_id__files__file_id__content_get", + "operationId": "vector_store_file_content_v1_vector_stores__vector_store_id__files__file_id__content_get_2", "parameters": [ { "in": "path", @@ -28889,7 +28889,7 @@ "/v1/vector_stores/{vector_store_id}/search": { "post": { "description": "Search a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/search", - "operationId": "vector_store_search_v1_vector_stores__vector_store_id__search_post", + "operationId": "vector_store_search_v1_vector_stores__vector_store_id__search_post_2", "parameters": [ { "in": "path", @@ -28935,7 +28935,7 @@ "/vector_stores": { "get": { "description": "List vector stores.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/list", - "operationId": "vector_store_list_vector_stores_get", + "operationId": "vector_store_list_vector_stores_get_2", "parameters": [ { "in": "query", @@ -29036,7 +29036,7 @@ }, "post": { "description": "Create a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/create\n\nSupports target_model_names parameter for creating vector stores across multiple models:\n```json\n{\n \"name\": \"my-vector-store\",\n \"target_model_names\": \"gpt-4,gemini-2.0\"\n}\n```", - "operationId": "vector_store_create_vector_stores_post", + "operationId": "vector_store_create_vector_stores_post_2", "responses": { "200": { "content": { @@ -29061,7 +29061,7 @@ "/vector_stores/{vector_store_id}": { "delete": { "description": "Delete a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/delete", - "operationId": "vector_store_delete_vector_stores__vector_store_id__delete", + "operationId": "vector_store_delete_vector_stores__vector_store_id__delete_2", "parameters": [ { "in": "path", @@ -29105,7 +29105,7 @@ }, "get": { "description": "Retrieve a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/retrieve", - "operationId": "vector_store_retrieve_vector_stores__vector_store_id__get", + "operationId": "vector_store_retrieve_vector_stores__vector_store_id__get_2", "parameters": [ { "in": "path", @@ -29149,7 +29149,7 @@ }, "post": { "description": "Update a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/modify", - "operationId": "vector_store_update_vector_stores__vector_store_id__post", + "operationId": "vector_store_update_vector_stores__vector_store_id__post_2", "parameters": [ { "in": "path", @@ -29194,7 +29194,7 @@ }, "/vector_stores/{vector_store_id}/files": { "get": { - "operationId": "vector_store_file_list_vector_stores__vector_store_id__files_get", + "operationId": "vector_store_file_list_vector_stores__vector_store_id__files_get_2", "parameters": [ { "in": "path", @@ -29237,7 +29237,7 @@ ] }, "post": { - "operationId": "vector_store_file_create_vector_stores__vector_store_id__files_post", + "operationId": "vector_store_file_create_vector_stores__vector_store_id__files_post_2", "parameters": [ { "in": "path", @@ -29282,7 +29282,7 @@ }, "/vector_stores/{vector_store_id}/files/{file_id}": { "delete": { - "operationId": "vector_store_file_delete_vector_stores__vector_store_id__files__file_id__delete", + "operationId": "vector_store_file_delete_vector_stores__vector_store_id__files__file_id__delete_2", "parameters": [ { "in": "path", @@ -29334,7 +29334,7 @@ ] }, "get": { - "operationId": "vector_store_file_retrieve_vector_stores__vector_store_id__files__file_id__get", + "operationId": "vector_store_file_retrieve_vector_stores__vector_store_id__files__file_id__get_2", "parameters": [ { "in": "path", @@ -29386,7 +29386,7 @@ ] }, "post": { - "operationId": "vector_store_file_update_vector_stores__vector_store_id__files__file_id__post", + "operationId": "vector_store_file_update_vector_stores__vector_store_id__files__file_id__post_2", "parameters": [ { "in": "path", @@ -29440,7 +29440,7 @@ }, "/vector_stores/{vector_store_id}/files/{file_id}/content": { "get": { - "operationId": "vector_store_file_content_vector_stores__vector_store_id__files__file_id__content_get", + "operationId": "vector_store_file_content_vector_stores__vector_store_id__files__file_id__content_get_2", "parameters": [ { "in": "path", @@ -29495,7 +29495,7 @@ "/vector_stores/{vector_store_id}/search": { "post": { "description": "Search a vector store.\n\nAPI Reference:\nhttps://platform.openai.com/docs/api-reference/vector-stores/search", - "operationId": "vector_store_search_vector_stores__vector_store_id__search_post", + "operationId": "vector_store_search_vector_stores__vector_store_id__search_post_2", "parameters": [ { "in": "path", diff --git a/litellm/proxy/_lazy_openapi_snapshot.py b/litellm/proxy/_lazy_openapi_snapshot.py index 315f6a9742a..2aa9dcca742 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.py +++ b/litellm/proxy/_lazy_openapi_snapshot.py @@ -31,7 +31,7 @@ def generate_snapshot() -> Dict[str, Dict]: from fastapi.openapi.utils import get_openapi from litellm.proxy._lazy_features import LAZY_FEATURES - from litellm.proxy.proxy_server import app + from litellm.proxy.proxy_server import app, ensure_unique_openapi_operation_ids for feat in LAZY_FEATURES: if feat.module_path in sys.modules: @@ -43,6 +43,7 @@ def generate_snapshot() -> Dict[str, Dict]: sys.stderr.write(f"warning: skip {feat.name}: {exc}\n") fragments: Dict[str, Dict] = {} + used_operation_ids = set() for feat in LAZY_FEATURES: feat_routes = [ r @@ -57,6 +58,7 @@ def generate_snapshot() -> Dict[str, Dict]: for op in path_ops.values(): if isinstance(op, dict): op["tags"] = [feat.name] + full = ensure_unique_openapi_operation_ids(full, used_operation_ids) fragments[feat.name] = { "paths": full.get("paths", {}), "components": {"schemas": full.get("components", {}).get("schemas", {})}, diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 05634d506b7..05fe7e64846 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -189,7 +189,9 @@ async def _get_container_owner( "file_purpose": CONTAINER_OBJECT_PURPOSE, } ) - return getattr(row, "created_by", None) if row is not None else None + if row is not None: + return getattr(row, "created_by", None) + return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) except Exception as e: verbose_proxy_logger.warning( "Failed to load container ownership for container_id=%s; " @@ -287,7 +289,7 @@ async def _get_allowed_container_ids( "created_by": {"in": owner_scopes}, } ) - return { + return in_memory_allowed_ids | { row.model_object_id for row in rows if getattr(row, "model_object_id", None) is not None diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index b6cec92a1d1..ac7f86b2028 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -958,6 +958,77 @@ def _generate_stable_operation_id(route: Any) -> str: return operation_id +_OPENAPI_HTTP_METHODS = { + "delete", + "get", + "head", + "options", + "patch", + "post", + "put", + "trace", +} + + +def _strip_operation_id_method_suffix(operation_id: str) -> str: + base, separator, suffix = operation_id.rpartition("_") + if separator and suffix in _OPENAPI_HTTP_METHODS: + return base + return operation_id + + +def ensure_unique_openapi_operation_ids( + openapi_schema: Dict[str, Any], + reserved_operation_ids: Optional[Set[str]] = None, +) -> Dict[str, Any]: + operation_entries = [] + operation_id_counts: Dict[str, int] = {} + for path_item in openapi_schema.get("paths", {}).values(): + if not isinstance(path_item, dict): + continue + for method, operation in path_item.items(): + if method not in _OPENAPI_HTTP_METHODS or not isinstance(operation, dict): + continue + operation_id = operation.get("operationId") + if not isinstance(operation_id, str): + continue + operation_entries.append((method, operation, operation_id)) + operation_id_counts[operation_id] = ( + operation_id_counts.get(operation_id, 0) + 1 + ) + + used_operation_ids = set(reserved_operation_ids or set()) + seen_operation_ids: Set[str] = set() + for method, operation, operation_id in operation_entries: + should_rewrite = ( + operation_id_counts[operation_id] > 1 + or operation_id in used_operation_ids + or operation_id in seen_operation_ids + ) + if not should_rewrite: + seen_operation_ids.add(operation_id) + used_operation_ids.add(operation_id) + continue + + base_operation_id = _strip_operation_id_method_suffix(operation_id) + new_operation_id = f"{base_operation_id}_{method}" + suffix = 2 + while ( + new_operation_id in used_operation_ids + or new_operation_id in seen_operation_ids + ): + new_operation_id = f"{base_operation_id}_{method}_{suffix}" + suffix += 1 + operation["operationId"] = new_operation_id + seen_operation_ids.add(new_operation_id) + used_operation_ids.add(new_operation_id) + + if reserved_operation_ids is not None: + reserved_operation_ids.update(used_operation_ids) + + return openapi_schema + + app = FastAPI( docs_url=_get_docs_url(), redoc_url=_get_redoc_url(), @@ -1047,6 +1118,7 @@ def get_openapi_schema(): from litellm.proxy._lazy_features import inject_lazy_stubs openapi_schema = inject_lazy_stubs(openapi_schema) + openapi_schema = ensure_unique_openapi_operation_ids(openapi_schema) # Fix Swagger UI execute path error when server_root_path is set if server_root_path: @@ -1078,6 +1150,7 @@ def custom_openapi(): from litellm.proxy._lazy_features import inject_lazy_stubs openapi_schema = inject_lazy_stubs(openapi_schema) + openapi_schema = ensure_unique_openapi_operation_ids(openapi_schema) # Fix Swagger UI execute path error when server_root_path is set if server_root_path: diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 8ebfd3ab6f7..fbce5d69859 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -309,6 +309,31 @@ async def test_should_fallback_to_memory_when_owner_lookup_fails(monkeypatch): assert provider == "openai" +@pytest.mark.asyncio +async def test_should_use_memory_owner_when_db_recovers_without_row(monkeypatch): + table = AsyncMock() + table.find_first.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" + auth = UserAPIKeyAuth(user_id="user-1") + + original_id, provider = await ownership.assert_user_can_access_container( + container_id="cntr_owned", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert original_id == "cntr_owned" + assert provider == "openai" + + @pytest.mark.asyncio async def test_should_fail_closed_when_owner_lookup_fails_without_memory(monkeypatch): table = AsyncMock() @@ -549,6 +574,38 @@ async def test_should_filter_container_list_with_memory_when_db_lookup_fails( assert filtered.has_more is False +@pytest.mark.asyncio +async def test_should_include_memory_container_list_when_db_recovers_without_row( + monkeypatch, +): + table = AsyncMock() + table.find_many.return_value = [] + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" + auth = UserAPIKeyAuth(user_id="user-1") + response = ContainerListResponse( + object="list", + data=[_container("cntr_owned"), _container("cntr_other")], + has_more=True, + ) + + filtered = await ownership.filter_container_list_response( + response=response, + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert [item.id for item in filtered.data] == ["cntr_owned"] + assert filtered.has_more is False + + @pytest.mark.asyncio async def test_should_forward_decoded_container_id_for_proxy_forwarding(monkeypatch): from litellm.proxy.container_endpoints import handler_factory diff --git a/tests/test_litellm/proxy/test_swagger_chat_completions.py b/tests/test_litellm/proxy/test_swagger_chat_completions.py index 4723034114a..2a773bd3168 100644 --- a/tests/test_litellm/proxy/test_swagger_chat_completions.py +++ b/tests/test_litellm/proxy/test_swagger_chat_completions.py @@ -5,7 +5,7 @@ This test ensures that the ProxyChatCompletionRequest Pydantic model is properly for the /chat/completions endpoint, showing all expected fields in the Swagger documentation. """ -from unittest.mock import Mock, patch +from unittest.mock import patch import pytest from fastapi.testclient import TestClient @@ -414,3 +414,75 @@ class TestSwaggerChatCompletions: assert ( schema["servers"][0]["url"] == expected_url ), f"Expected servers URL '{expected_url}' in custom_openapi, got '{schema['servers'][0]['url']}'" + + def test_should_make_duplicate_operation_ids_unique_by_method(self): + from litellm.proxy.proxy_server import ensure_unique_openapi_operation_ids + + schema = { + "paths": { + "/anthropic/{endpoint}": { + "delete": { + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete" + }, + "get": { + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete" + }, + "post": { + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete" + }, + }, + "/models": { + "get": { + "operationId": "list_models_models_get", + } + }, + } + } + + result = ensure_unique_openapi_operation_ids(schema) + + assert ( + result["paths"]["/anthropic/{endpoint}"]["delete"]["operationId"] + == "anthropic_proxy_route_anthropic__endpoint__delete" + ) + assert ( + result["paths"]["/anthropic/{endpoint}"]["get"]["operationId"] + == "anthropic_proxy_route_anthropic__endpoint__get" + ) + assert ( + result["paths"]["/anthropic/{endpoint}"]["post"]["operationId"] + == "anthropic_proxy_route_anthropic__endpoint__post" + ) + operation_ids = [ + operation["operationId"] + for path_item in result["paths"].values() + for operation in path_item.values() + ] + assert len(operation_ids) == len(set(operation_ids)) + + def test_should_reserve_operation_ids_across_lazy_fragments(self): + from litellm.proxy.proxy_server import ensure_unique_openapi_operation_ids + + used_operation_ids = set() + first_schema = { + "paths": { + "/tools/list": { + "get": {"operationId": "list_tool_rest_api_mcp_rest_tools_list_get"} + } + } + } + second_schema = { + "paths": { + "/v1/tools/list": { + "get": {"operationId": "list_tool_rest_api_mcp_rest_tools_list_get"} + } + } + } + + ensure_unique_openapi_operation_ids(first_schema, used_operation_ids) + result = ensure_unique_openapi_operation_ids(second_schema, used_operation_ids) + + assert ( + result["paths"]["/v1/tools/list"]["get"]["operationId"] + == "list_tool_rest_api_mcp_rest_tools_list_get_2" + ) From a02aacf1b5012e2e27e5d3a427b5bf654f5ed3b9 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 20:01:43 -0700 Subject: [PATCH 034/160] fix(proxy): type openapi snapshot operation ids --- litellm/proxy/_lazy_openapi_snapshot.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/_lazy_openapi_snapshot.py b/litellm/proxy/_lazy_openapi_snapshot.py index 2aa9dcca742..51cbd6eb989 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.py +++ b/litellm/proxy/_lazy_openapi_snapshot.py @@ -10,7 +10,7 @@ any drift as a neutral check. import json import sys from pathlib import Path -from typing import Dict, Optional +from typing import Dict, Optional, Set SNAPSHOT_FILE = Path(__file__).parent / "_lazy_openapi_snapshot.json" @@ -43,7 +43,7 @@ def generate_snapshot() -> Dict[str, Dict]: sys.stderr.write(f"warning: skip {feat.name}: {exc}\n") fragments: Dict[str, Dict] = {} - used_operation_ids = set() + used_operation_ids: Set[str] = set() for feat in LAZY_FEATURES: feat_routes = [ r From 2ecc79b9e9b41f04230048892164b32f4d62cd43 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 20:06:44 -0700 Subject: [PATCH 035/160] test(proxy): cover skill ownership propagation --- .../litellm_proxy/test_skills_ownership.py | 194 +++++++++++++++++- 1 file changed, 191 insertions(+), 3 deletions(-) diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index f6946e519d1..45ed172a845 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -1,10 +1,20 @@ -from unittest.mock import AsyncMock +from unittest.mock import AsyncMock, Mock import pytest -from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler from litellm.llms.litellm_proxy.skills import handler as skills_handler -from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth +from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler +from litellm.llms.litellm_proxy.skills.transformation import ( + LiteLLMSkillsTransformationHandler, +) +from litellm.proxy._types import ( + LiteLLM_SkillsTable, + LitellmUserRoles, + NewSkillRequest, + UserAPIKeyAuth, +) +from litellm.proxy.common_utils import resource_ownership +from litellm.skills import main as skills_main @pytest.fixture(autouse=True) @@ -20,6 +30,184 @@ def _skill(skill_id: str, created_by: str | None) -> LiteLLM_SkillsTable: ) +def test_should_extract_skill_auth_from_supported_metadata_fields(): + auth = UserAPIKeyAuth(user_id="user-1") + + assert ( + skills_main._get_user_api_key_auth_from_kwargs( + {"metadata": {"user_api_key_auth": auth}} + ) + is auth + ) + assert ( + skills_main._get_user_api_key_auth_from_kwargs( + {"metadata": {}, "litellm_metadata": {"user_api_key_auth": auth}} + ) + is auth + ) + assert skills_main._get_user_api_key_auth_from_kwargs({"metadata": "bad"}) is None + + +def test_should_extract_skill_request_metadata_with_extra_body_precedence(): + body_metadata = {"purpose": "body"} + requester_metadata = {"purpose": "requester"} + + assert ( + skills_main._get_skill_request_metadata( + {"metadata": {"requester_metadata": requester_metadata}}, + {"metadata": body_metadata}, + ) + == body_metadata + ) + assert ( + skills_main._get_skill_request_metadata( + {"metadata": {"requester_metadata": requester_metadata}}, + None, + ) + == requester_metadata + ) + assert ( + skills_main._get_skill_request_metadata( + {"metadata": {}}, + {"metadata": "bad"}, + ) + is None + ) + + +def test_should_forward_skill_auth_through_sdk_entrypoints(monkeypatch): + auth = UserAPIKeyAuth(user_id="user-1") + handler = Mock() + handler.create_skill_handler.return_value = "created" + handler.list_skills_handler.return_value = "listed" + handler.get_skill_handler.return_value = "got" + handler.delete_skill_handler.return_value = "deleted" + monkeypatch.setattr(skills_main, "_get_litellm_skills_handler", lambda: handler) + + assert ( + skills_main.create_skill( + display_title="skill", + extra_body={"metadata": {"source": "request"}}, + custom_llm_provider="litellm_proxy", + metadata={"user_api_key_auth": auth}, + user_id="user-1", + ) + == "created" + ) + assert ( + skills_main.list_skills( + custom_llm_provider="litellm_proxy", + metadata={"user_api_key_auth": auth}, + ) + == "listed" + ) + assert ( + skills_main.get_skill( + "litellm_skill_1", + custom_llm_provider="litellm_proxy", + metadata={"user_api_key_auth": auth}, + ) + == "got" + ) + assert ( + skills_main.delete_skill( + "litellm_skill_1", + custom_llm_provider="litellm_proxy", + metadata={"user_api_key_auth": auth}, + ) + == "deleted" + ) + + assert handler.create_skill_handler.call_args.kwargs["metadata"] == { + "source": "request" + } + assert handler.create_skill_handler.call_args.kwargs["user_api_key_dict"] is auth + assert handler.list_skills_handler.call_args.kwargs["user_api_key_dict"] is auth + assert handler.get_skill_handler.call_args.kwargs["user_api_key_dict"] is auth + assert handler.delete_skill_handler.call_args.kwargs["user_api_key_dict"] is auth + + +def test_should_build_resource_owner_scopes_for_auth_context(): + auth = UserAPIKeyAuth( + user_id="user-1", + team_id="team-1", + org_id="org-1", + api_key="api-key-hash", + token="token-hash", + ) + + assert resource_ownership.get_resource_owner_scopes(auth) == [ + "user-1", + "user:user-1", + "team:team-1", + "org:org-1", + "key:api-key-hash", + ] + assert resource_ownership.get_primary_resource_owner_scope(auth) == "user-1" + assert resource_ownership.user_can_access_resource_owner("team:team-1", auth) + assert resource_ownership.get_resource_owner_scopes( + UserAPIKeyAuth(token="token-hash") + ) == ["key:token-hash"] + assert resource_ownership.get_resource_owner_scopes(UserAPIKeyAuth()) == [ + resource_ownership.UNSCOPED_RESOURCE_OWNER_SCOPE + ] + + +def test_should_allow_admin_and_anonymous_resource_owner_paths(): + admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN.value) + + assert resource_ownership.is_proxy_admin(admin) + assert resource_ownership.user_can_access_resource_owner(None, admin) + assert resource_ownership.user_can_access_resource_owner(None, None) + assert not resource_ownership.user_can_access_resource_owner( + None, UserAPIKeyAuth(user_id="user-1") + ) + + +@pytest.mark.asyncio +async def test_should_forward_skill_auth_through_transformation_handler(monkeypatch): + handler = LiteLLMSkillsTransformationHandler() + auth = UserAPIKeyAuth(user_id="user-1") + + create_skill = AsyncMock(return_value=_skill("litellm_skill_created", "user-1")) + list_skills = AsyncMock(return_value=[_skill("litellm_skill_listed", "user-1")]) + get_skill = AsyncMock(return_value=_skill("litellm_skill_got", "user-1")) + delete_skill = AsyncMock(return_value={"id": "litellm_skill_deleted"}) + monkeypatch.setattr(LiteLLMSkillsHandler, "create_skill", create_skill) + monkeypatch.setattr(LiteLLMSkillsHandler, "list_skills", list_skills) + monkeypatch.setattr(LiteLLMSkillsHandler, "get_skill", get_skill) + monkeypatch.setattr(LiteLLMSkillsHandler, "delete_skill", delete_skill) + + created = await handler._async_create_skill( + display_title="skill", + metadata={"source": "request"}, + user_id="user-1", + user_api_key_dict=auth, + ) + listed = await handler._async_list_skills( + limit=10, + offset=2, + user_api_key_dict=auth, + ) + got = await handler._async_get_skill( + "litellm_skill_got", + user_api_key_dict=auth, + ) + deleted = await handler._async_delete_skill( + "litellm_skill_deleted", + user_api_key_dict=auth, + ) + + assert created.id == "litellm_skill_created" + assert [skill.id for skill in listed.data] == ["litellm_skill_listed"] + assert got.id == "litellm_skill_got" + assert deleted.id == "litellm_skill_deleted" + assert create_skill.await_args.kwargs["user_api_key_dict"] is auth + assert list_skills.await_args.kwargs["user_api_key_dict"] is auth + assert get_skill.await_args.kwargs["user_api_key_dict"] is auth + assert delete_skill.await_args.kwargs["user_api_key_dict"] is auth + + @pytest.mark.asyncio async def test_should_store_team_owner_for_keys_without_user_id(monkeypatch): table = AsyncMock() From f18ee0319d17fccbcbc3f2a6efc0d65b81583c4d Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 20:25:40 -0700 Subject: [PATCH 036/160] fix(proxy): isolate ownership persistence paths --- litellm/llms/litellm_proxy/skills/handler.py | 21 +++-- litellm/llms/litellm_proxy/skills/store.py | 22 ++++++ .../proxy/container_endpoints/endpoints.py | 10 +-- .../proxy/container_endpoints/ownership.py | 64 +++++++++------- .../container_endpoints/ownership_store.py | 55 ++++++++++++++ .../test_container_proxy_ownership.py | 76 +++++++++++++++++++ 6 files changed, 204 insertions(+), 44 deletions(-) create mode 100644 litellm/llms/litellm_proxy/skills/store.py create mode 100644 litellm/proxy/container_endpoints/ownership_store.py diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 7093874acd9..6eb6f40fc64 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -10,6 +10,7 @@ import uuid from typing import Any, Dict, List, Optional from litellm._logging import verbose_logger +from litellm.llms.litellm_proxy.skills.store import LiteLLMSkillsStore from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth from litellm.proxy.common_utils.resource_ownership import ( get_primary_resource_owner_scope, @@ -104,6 +105,7 @@ class LiteLLMSkillsHandler: LiteLLM_SkillsTable record """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() + store = LiteLLMSkillsStore(prisma_client) skill_id = f"litellm_skill_{uuid.uuid4()}" owner = get_primary_resource_owner_scope(user_api_key_dict) or user_id @@ -138,7 +140,7 @@ class LiteLLMSkillsHandler: f"LiteLLMSkillsHandler: Creating skill {skill_id} with title={data.display_title}" ) - new_skill = await prisma_client.db.litellm_skillstable.create(data=skill_data) + new_skill = await store.create_skill(skill_data) return _prisma_skill_to_litellm(new_skill) @@ -159,6 +161,7 @@ class LiteLLMSkillsHandler: List of LiteLLM_SkillsTable records """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() + store = LiteLLMSkillsStore(prisma_client) verbose_logger.debug( f"LiteLLMSkillsHandler: Listing skills with limit={limit}, offset={offset}" @@ -183,9 +186,7 @@ class LiteLLMSkillsHandler: else: find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} - skills = await prisma_client.db.litellm_skillstable.find_many( - **find_many_kwargs - ) + skills = await store.list_skills(find_many_kwargs) return [_prisma_skill_to_litellm(s) for s in skills] @@ -207,12 +208,11 @@ class LiteLLMSkillsHandler: ValueError: If skill not found """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() + store = LiteLLMSkillsStore(prisma_client) verbose_logger.debug(f"LiteLLMSkillsHandler: Getting skill {skill_id}") - skill = await prisma_client.db.litellm_skillstable.find_unique( - where={"skill_id": skill_id} - ) + skill = await store.find_skill(skill_id) if skill is None: raise ValueError(f"Skill not found: {skill_id}") @@ -242,13 +242,12 @@ class LiteLLMSkillsHandler: ValueError: If skill not found """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() + store = LiteLLMSkillsStore(prisma_client) verbose_logger.debug(f"LiteLLMSkillsHandler: Deleting skill {skill_id}") # Check if skill exists - skill = await prisma_client.db.litellm_skillstable.find_unique( - where={"skill_id": skill_id} - ) + skill = await store.find_skill(skill_id) if skill is None: raise ValueError(f"Skill not found: {skill_id}") @@ -259,7 +258,7 @@ class LiteLLMSkillsHandler: raise ValueError(f"Skill not found: {skill_id}") # Delete the skill - await prisma_client.db.litellm_skillstable.delete(where={"skill_id": skill_id}) + await store.delete_skill(skill_id) return {"id": skill_id, "type": "skill_deleted"} diff --git a/litellm/llms/litellm_proxy/skills/store.py b/litellm/llms/litellm_proxy/skills/store.py new file mode 100644 index 00000000000..6e69a7a9625 --- /dev/null +++ b/litellm/llms/litellm_proxy/skills/store.py @@ -0,0 +1,22 @@ +from typing import Any, Dict, List, Optional + + +class LiteLLMSkillsStore: + def __init__(self, prisma_client: Any): + self.prisma_client = prisma_client + + @property + def _table(self) -> Any: + return self.prisma_client.db.litellm_skillstable + + async def create_skill(self, data: Dict[str, Any]) -> Any: + return await self._table.create(data=data) + + async def list_skills(self, find_many_kwargs: Dict[str, Any]) -> List[Any]: + return await self._table.find_many(**find_many_kwargs) + + async def find_skill(self, skill_id: str) -> Optional[Any]: + return await self._table.find_unique(where={"skill_id": skill_id}) + + async def delete_skill(self, skill_id: str) -> None: + await self._table.delete(where={"skill_id": skill_id}) diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index b67e1e28d8b..089f22a23a5 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -122,11 +122,6 @@ async def create_container( user_api_base=user_api_base, version=version, ) - return await record_container_owner( - response=response, - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, - ) except Exception as e: raise await processor._handle_llm_api_exception( e=e, @@ -134,6 +129,11 @@ async def create_container( proxy_logging_obj=proxy_logging_obj, version=version, ) + return await record_container_owner( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) @router.get( diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 05fe7e64846..86188c02414 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -1,4 +1,5 @@ import os +from collections import OrderedDict from typing import Any, Dict, List, Optional, Set, Tuple from fastapi import HTTPException @@ -11,11 +12,15 @@ from litellm.proxy.common_utils.resource_ownership import ( is_proxy_admin, user_can_access_resource_owner, ) +from litellm.proxy.container_endpoints.ownership_store import ( + CONTAINER_OBJECT_PURPOSE, + ContainerOwnershipStore, +) from litellm.responses.utils import ResponsesAPIRequestUtils -CONTAINER_OBJECT_PURPOSE = "container" ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV = "LITELLM_ALLOW_UNTRACKED_CONTAINER_ACCESS" -_IN_MEMORY_CONTAINER_OWNERS: Dict[str, str] = {} +MAX_IN_MEMORY_CONTAINER_OWNERS = 10000 +_IN_MEMORY_CONTAINER_OWNERS: "OrderedDict[str, str]" = OrderedDict() def _allow_untracked_container_access() -> bool: @@ -26,6 +31,15 @@ def _allow_untracked_container_access() -> bool: } +def _remember_container_owner(model_object_id: str, owner: str) -> None: + existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + if existing_owner is not None: + _IN_MEMORY_CONTAINER_OWNERS.move_to_end(model_object_id) + _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner + while len(_IN_MEMORY_CONTAINER_OWNERS) > MAX_IN_MEMORY_CONTAINER_OWNERS: + _IN_MEMORY_CONTAINER_OWNERS.popitem(last=False) + + def _container_model_object_id( original_container_id: str, custom_llm_provider: str, @@ -124,12 +138,11 @@ async def record_container_owner( existing_owner, user_api_key_dict ): raise HTTPException(status_code=403, detail="Forbidden") - _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner + _remember_container_owner(model_object_id, owner) return response - existing = await prisma_client.db.litellm_managedobjecttable.find_unique( - where={"model_object_id": model_object_id} - ) + store = ContainerOwnershipStore(prisma_client) + existing = await store.find_by_model_object_id(model_object_id) if existing is not None: if getattr(existing, "file_purpose", None) != CONTAINER_OBJECT_PURPOSE: raise HTTPException(status_code=500, detail="Unable to track container") @@ -137,8 +150,8 @@ async def record_container_owner( getattr(existing, "created_by", None), user_api_key_dict ): raise HTTPException(status_code=403, detail="Forbidden") - await prisma_client.db.litellm_managedobjecttable.update( - where={"model_object_id": model_object_id}, + await store.update_owner_record( + model_object_id=model_object_id, data={ "unified_object_id": container_id, "file_object": file_object, @@ -146,7 +159,7 @@ async def record_container_owner( }, ) else: - await prisma_client.db.litellm_managedobjecttable.create( + await store.create_owner_record( data={ "unified_object_id": container_id, "model_object_id": model_object_id, @@ -165,7 +178,12 @@ async def record_container_owner( model_object_id, e, ) - _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner + existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + if existing_owner is not None and not user_can_access_resource_owner( + existing_owner, user_api_key_dict + ): + raise HTTPException(status_code=403, detail="Forbidden") + _remember_container_owner(model_object_id, owner) return response @@ -183,14 +201,9 @@ async def _get_container_owner( if prisma_client is None: return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - row = await prisma_client.db.litellm_managedobjecttable.find_first( - where={ - "model_object_id": model_object_id, - "file_purpose": CONTAINER_OBJECT_PURPOSE, - } - ) - if row is not None: - return getattr(row, "created_by", None) + owner = await ContainerOwnershipStore(prisma_client).get_owner(model_object_id) + if owner is not None: + return owner return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) except Exception as e: verbose_proxy_logger.warning( @@ -283,17 +296,12 @@ async def _get_allowed_container_ids( if prisma_client is None: return in_memory_allowed_ids - rows = await prisma_client.db.litellm_managedobjecttable.find_many( - where={ - "file_purpose": CONTAINER_OBJECT_PURPOSE, - "created_by": {"in": owner_scopes}, - } + db_allowed_ids = await ContainerOwnershipStore( + prisma_client + ).list_model_object_ids_for_owners( + owner_scopes=owner_scopes, ) - return in_memory_allowed_ids | { - row.model_object_id - for row in rows - if getattr(row, "model_object_id", None) is not None - } + return in_memory_allowed_ids | db_allowed_ids except Exception as e: verbose_proxy_logger.warning( "Failed to load allowed container ids; falling back to in-process " diff --git a/litellm/proxy/container_endpoints/ownership_store.py b/litellm/proxy/container_endpoints/ownership_store.py new file mode 100644 index 00000000000..b3c406f618d --- /dev/null +++ b/litellm/proxy/container_endpoints/ownership_store.py @@ -0,0 +1,55 @@ +from typing import Any, Dict, List, Optional, Set + +CONTAINER_OBJECT_PURPOSE = "container" + + +class ContainerOwnershipStore: + def __init__(self, prisma_client: Any): + self.prisma_client = prisma_client + + @property + def _table(self) -> Any: + return self.prisma_client.db.litellm_managedobjecttable + + async def find_by_model_object_id(self, model_object_id: str) -> Optional[Any]: + return await self._table.find_unique(where={"model_object_id": model_object_id}) + + async def create_owner_record(self, data: Dict[str, Any]) -> None: + await self._table.create(data=data) + + async def update_owner_record( + self, + model_object_id: str, + data: Dict[str, Any], + ) -> None: + await self._table.update( + where={"model_object_id": model_object_id}, + data=data, + ) + + async def get_owner(self, model_object_id: str) -> Optional[str]: + row = await self._table.find_first( + where={ + "model_object_id": model_object_id, + "file_purpose": CONTAINER_OBJECT_PURPOSE, + } + ) + if row is None: + return None + return getattr(row, "created_by", None) + + async def list_model_object_ids_for_owners( + self, + owner_scopes: List[str], + ) -> Set[str]: + rows = await self._table.find_many( + where={ + "file_purpose": CONTAINER_OBJECT_PURPOSE, + "created_by": {"in": owner_scopes}, + } + ) + return { + row.model_object_id + for row in rows + if getattr(row, "model_object_id", None) is not None + } diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index fbce5d69859..19682649bb9 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -241,6 +241,29 @@ async def test_should_track_container_owner_in_memory_without_prisma(monkeypatch assert provider == "openai" +@pytest.mark.asyncio +async def test_should_bound_in_memory_container_owner_tracking(monkeypatch): + monkeypatch.setattr(ownership, "MAX_IN_MEMORY_CONTAINER_OWNERS", 2) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=None), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + for container_id in ("cntr_1", "cntr_2", "cntr_3"): + await ownership.record_container_owner( + response=_container(container_id), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + assert list(ownership._IN_MEMORY_CONTAINER_OWNERS.keys()) == [ + "container:openai:cntr_2", + "container:openai:cntr_3", + ] + + @pytest.mark.asyncio async def test_should_deny_container_access_for_different_owner(monkeypatch): table = AsyncMock() @@ -847,6 +870,59 @@ async def test_should_record_container_owner_inside_create_endpoint(monkeypatch) ) +@pytest.mark.asyncio +async def test_should_not_route_owner_record_errors_through_llm_error_handler( + monkeypatch, +): + from litellm.proxy.container_endpoints import endpoints + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + class FakeProcessor: + def __init__(self, data): + pass + + async def base_process_llm_request(self, **kwargs): + return _container("cntr_provider") + + async def _handle_llm_api_exception(self, **kwargs): + raise AssertionError("ownership errors should not use LLM error handler") + + monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor) + monkeypatch.setattr( + endpoints, + "record_container_owner", + AsyncMock(side_effect=HTTPException(status_code=403, detail="Forbidden")), + ) + + with pytest.raises(HTTPException) as exc: + await endpoints.create_container( + request=SimpleNamespace( + query_params={}, + headers={}, + json=AsyncMock(return_value={}), + body=AsyncMock(return_value=b"{}"), + ), + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + ) + + assert exc.value.status_code == 403 + + @pytest.mark.asyncio async def test_should_filter_container_list_inside_list_endpoint(monkeypatch): from litellm.proxy.container_endpoints import endpoints From e9fb89b90c35b28b2ebbb87d18f739b194f12b8b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Thu, 30 Apr 2026 20:44:14 -0700 Subject: [PATCH 037/160] fix(proxy): avoid misleading multi-method operation ids --- litellm/proxy/proxy_server.py | 5 ++-- .../proxy/test_swagger_chat_completions.py | 25 +++++++++++++++++++ 2 files changed, 28 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index ac7f86b2028..ed8365f95ce 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -953,8 +953,9 @@ async def proxy_startup_event(app: FastAPI): # noqa: PLR0915 def _generate_stable_operation_id(route: Any) -> str: operation_id = re.sub(r"\W", "_", f"{route.name}{route.path_format}") - if route.methods: - operation_id = f"{operation_id}_{sorted(route.methods)[0].lower()}" + route_methods = sorted(route.methods or []) + if len(route_methods) == 1: + operation_id = f"{operation_id}_{route_methods[0].lower()}" return operation_id diff --git a/tests/test_litellm/proxy/test_swagger_chat_completions.py b/tests/test_litellm/proxy/test_swagger_chat_completions.py index 2a773bd3168..36ead2f41c7 100644 --- a/tests/test_litellm/proxy/test_swagger_chat_completions.py +++ b/tests/test_litellm/proxy/test_swagger_chat_completions.py @@ -460,6 +460,31 @@ class TestSwaggerChatCompletions: ] assert len(operation_ids) == len(set(operation_ids)) + def test_should_not_add_method_suffix_to_multi_method_route_base_id(self): + from types import SimpleNamespace + + from litellm.proxy.proxy_server import _generate_stable_operation_id + + multi_method_route = SimpleNamespace( + name="anthropic_proxy_route", + path_format="/anthropic/{endpoint}", + methods={"DELETE", "GET", "POST"}, + ) + single_method_route = SimpleNamespace( + name="list_models", + path_format="/models", + methods={"GET"}, + ) + + assert ( + _generate_stable_operation_id(multi_method_route) + == "anthropic_proxy_route_anthropic__endpoint_" + ) + assert ( + _generate_stable_operation_id(single_method_route) + == "list_models_models_get" + ) + def test_should_reserve_operation_ids_across_lazy_fragments(self): from litellm.proxy.proxy_server import ensure_unique_openapi_operation_ids From b1b00e4bdc1384a9cc6d2bfb67e461f5356c068c Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 03:50:15 +0000 Subject: [PATCH 038/160] chore(guardrails): cover multimodal + Responses-API content shapes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Several guardrail hooks short-circuit when ``message.content`` is a list or when the request uses the Responses-API ``input`` field instead of ``messages``. Centralise the content-walking logic in a shared helper and update the affected hooks so list-format and Responses-API payloads no longer skip inspection. Also: Aim's ``async_post_call_success_hook`` now inspects every choice (via ``asyncio.gather``) instead of only ``choices[0]`` — the prior behaviour let ``n>1`` callers hide content in subsequent completions. Hooks updated to use the new helper: - aim, lakera_ai_v2, lasso (post a synthesised messages list to a remote guardrail service) - azure_content_safety, ibm_detector, banned_keywords, openai_moderation, google_text_moderation (iterate text fragments locally) - secret_detection (walk-and-rewrite to redact in place) Drive-by fix: the legacy ``data["prompt"]`` list-handling path in secret_detection rebound the loop variable instead of mutating the list, leaving secrets unredacted on text-completion calls; corrected to index back into the list. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../enterprise_hooks/banned_keywords.py | 9 +- .../google_text_moderation.py | 9 +- .../enterprise_hooks/openai_moderation.py | 8 +- .../enterprise_callbacks/secret_detection.py | 64 +-- litellm/proxy/guardrails/_content_utils.py | 160 +++++++ .../guardrails/guardrail_hooks/aim/aim.py | 36 +- .../ibm_guardrails/ibm_detector.py | 173 +++---- .../guardrail_hooks/lakera_ai_v2.py | 18 +- .../guardrails/guardrail_hooks/lasso/lasso.py | 4 +- litellm/proxy/hooks/azure_content_safety.py | 9 +- .../proxy/guardrails/test_content_utils.py | 201 ++++++++ .../guardrails/test_guardrail_coverage.py | 437 ++++++++++++++++++ 12 files changed, 948 insertions(+), 180 deletions(-) create mode 100644 litellm/proxy/guardrails/_content_utils.py create mode 100644 tests/test_litellm/proxy/guardrails/test_content_utils.py create mode 100644 tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py diff --git a/enterprise/enterprise_hooks/banned_keywords.py b/enterprise/enterprise_hooks/banned_keywords.py index 4df138939ad..aafbb8cf402 100644 --- a/enterprise/enterprise_hooks/banned_keywords.py +++ b/enterprise/enterprise_hooks/banned_keywords.py @@ -11,6 +11,7 @@ from typing import Literal import litellm from litellm.caching.caching import DualCache from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import iter_user_text from litellm.integrations.custom_logger import CustomLogger from litellm._logging import verbose_proxy_logger from fastapi import HTTPException @@ -73,10 +74,10 @@ class _ENTERPRISE_BannedKeywords(CustomLogger): - check if user id part of blocked list """ self.print_verbose("Inside Banned Keyword List Pre-Call Hook") - if call_type == "completion" and "messages" in data: - for m in data["messages"]: - if "content" in m and isinstance(m["content"], str): - self.test_violation(test_str=m["content"]) + if call_type == "completion": + # Covers multimodal list content + Responses-API input. + for text in iter_user_text(data): + self.test_violation(test_str=text) except HTTPException as e: raise e diff --git a/enterprise/enterprise_hooks/google_text_moderation.py b/enterprise/enterprise_hooks/google_text_moderation.py index 1f26d52adf8..75829c41ca8 100644 --- a/enterprise/enterprise_hooks/google_text_moderation.py +++ b/enterprise/enterprise_hooks/google_text_moderation.py @@ -12,6 +12,7 @@ import litellm from litellm._logging import verbose_proxy_logger from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import iter_user_text from litellm.types.utils import CallTypesLiteral @@ -94,11 +95,9 @@ class _ENTERPRISE_GoogleTextModeration(CustomLogger): - Calls Google's Text Moderation API - Rejects request if it fails safety check """ - if "messages" in data and isinstance(data["messages"], list): - text = "" - for m in data["messages"]: # assume messages is a list - if "content" in m and isinstance(m["content"], str): - text += m["content"] + # Covers multimodal list content + Responses-API input. + text = "".join(iter_user_text(data)) + if text: document = self.language_document(content=text, type_=self.document_type) request = self.moderate_text_request( diff --git a/enterprise/enterprise_hooks/openai_moderation.py b/enterprise/enterprise_hooks/openai_moderation.py index a1db9818e5e..a98d5b30d78 100644 --- a/enterprise/enterprise_hooks/openai_moderation.py +++ b/enterprise/enterprise_hooks/openai_moderation.py @@ -19,6 +19,7 @@ import litellm from litellm._logging import verbose_proxy_logger from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import iter_user_text from litellm.types.utils import CallTypesLiteral @@ -37,11 +38,8 @@ class _ENTERPRISE_OpenAI_Moderation(CustomLogger): user_api_key_dict: UserAPIKeyAuth, call_type: CallTypesLiteral, ): - text = "" - if "messages" in data and isinstance(data["messages"], list): - for m in data["messages"]: # assume messages is a list - if "content" in m and isinstance(m["content"], str): - text += m["content"] + # Covers multimodal list content + Responses-API input. + text = "".join(iter_user_text(data)) from litellm.proxy.proxy_server import llm_router diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py b/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py index 8a7a82df686..f441ce71ab9 100644 --- a/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py +++ b/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py @@ -18,6 +18,7 @@ from litellm._logging import verbose_proxy_logger from litellm.caching.caching import DualCache from litellm.integrations.custom_guardrail import CustomGuardrail from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import walk_user_text GUARDRAIL_NAME = "hide_secrets" @@ -473,23 +474,19 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail): if await self.should_run_check(user_api_key_dict) is False: return - if "messages" in data and isinstance(data["messages"], list): - for message in data["messages"]: - if "content" in message and isinstance(message["content"], str): - detected_secrets = self.scan_message_for_secrets(message["content"]) + # Covers multimodal list content + Responses-API input. + def _redact_message_text(text: str) -> str: + detected_secrets = self.scan_message_for_secrets(text) + for secret in detected_secrets: + text = text.replace(secret["value"], "[REDACTED]") + if detected_secrets: + secret_types = [secret["type"] for secret in detected_secrets] + verbose_proxy_logger.warning( + f"Detected and redacted secrets in message: {secret_types}" + ) + return text - for secret in detected_secrets: - message["content"] = message["content"].replace( - secret["value"], "[REDACTED]" - ) - - if len(detected_secrets) > 0: - secret_types = [secret["type"] for secret in detected_secrets] - verbose_proxy_logger.warning( - f"Detected and redacted secrets in message: {secret_types}" - ) - else: - verbose_proxy_logger.debug("No secrets detected on input.") + walk_user_text(data, _redact_message_text) if "prompt" in data: if isinstance(data["prompt"], str): @@ -504,11 +501,15 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail): f"Detected and redacted secrets in prompt: {secret_types}" ) elif isinstance(data["prompt"], list): - for item in data["prompt"]: + # Index back into the list — assigning to ``item`` would only + # rebind the loop variable and leave ``data["prompt"]`` + # carrying the unredacted secret. + for idx, item in enumerate(data["prompt"]): if isinstance(item, str): detected_secrets = self.scan_message_for_secrets(item) for secret in detected_secrets: item = item.replace(secret["value"], "[REDACTED]") + data["prompt"][idx] = item if len(detected_secrets) > 0: secret_types = [ secret["type"] for secret in detected_secrets @@ -517,31 +518,6 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail): f"Detected and redacted secrets in prompt: {secret_types}" ) - if "input" in data: - if isinstance(data["input"], str): - detected_secrets = self.scan_message_for_secrets(data["input"]) - for secret in detected_secrets: - data["input"] = data["input"].replace(secret["value"], "[REDACTED]") - if len(detected_secrets) > 0: - secret_types = [secret["type"] for secret in detected_secrets] - verbose_proxy_logger.warning( - f"Detected and redacted secrets in input: {secret_types}" - ) - elif isinstance(data["input"], list): - _input_in_request = data["input"] - for idx, item in enumerate(_input_in_request): - if isinstance(item, str): - detected_secrets = self.scan_message_for_secrets(item) - for secret in detected_secrets: - _input_in_request[idx] = item.replace( - secret["value"], "[REDACTED]" - ) - if len(detected_secrets) > 0: - secret_types = [ - secret["type"] for secret in detected_secrets - ] - verbose_proxy_logger.warning( - f"Detected and redacted secrets in input: {secret_types}" - ) - verbose_proxy_logger.debug("Data after redacting input %s", data) + # ``data["input"]`` (Responses API and embeddings/moderation) is + # already covered by ``walk_user_text`` above. return diff --git a/litellm/proxy/guardrails/_content_utils.py b/litellm/proxy/guardrails/_content_utils.py new file mode 100644 index 00000000000..97a022768e5 --- /dev/null +++ b/litellm/proxy/guardrails/_content_utils.py @@ -0,0 +1,160 @@ +""" +Shared helpers for guardrail hooks: extract user-supplied text from a +request body regardless of whether it uses Chat Completions ``messages``, +Responses-API ``input``, or multimodal list-format ``content`` parts. + +Hooks that only check ``data["messages"]`` for string content silently +skip the other shapes — these helpers normalise that so every hook sees +every text fragment. +""" + +from typing import Any, Callable, Dict, Iterator, List + + +def _iter_text_parts_in_content(content: Any) -> Iterator[str]: + """Yield text fragments from a ``message.content`` value (string or + multimodal list). Non-text parts (images, audio, …) are skipped.""" + if isinstance(content, str): + if content: + yield content + elif isinstance(content, list): + for part in content: + if not isinstance(part, dict): + continue + if part.get("type") == "text": + text = part.get("text") + if isinstance(text, str) and text: + yield text + + +def _coerce_input_to_messages(input_value: Any) -> List[Dict[str, Any]]: + """Coerce a Responses-API ``data["input"]`` value into chat-style messages.""" + if isinstance(input_value, str): + return [{"role": "user", "content": input_value}] + if isinstance(input_value, list): + if input_value and all( + isinstance(item, dict) and "role" in item for item in input_value + ): + return list(input_value) + if input_value and all(isinstance(item, str) for item in input_value): + return [{"role": "user", "content": item} for item in input_value] + return [{"role": "user", "content": input_value}] + return [] + + +def _resolve_messages(data: Dict[str, Any]) -> List[Dict[str, Any]]: + """Return the messages list to inspect, falling back to ``input``.""" + messages = data.get("messages") + if isinstance(messages, list) and messages: + return messages + return _coerce_input_to_messages(data.get("input")) + + +def _iter_inspection_messages(data: Dict[str, Any]) -> Iterator[Dict[str, Any]]: + """Yield every message-like dict, walking ``messages`` AND ``input``.""" + messages = data.get("messages") + if isinstance(messages, list): + yield from messages + yield from _coerce_input_to_messages(data.get("input")) + + +def iter_user_text(data: Dict[str, Any]) -> Iterator[str]: + """Yield every user-supplied text fragment from ``messages`` and ``input``.""" + for message in _iter_inspection_messages(data): + if not isinstance(message, dict): + continue + yield from _iter_text_parts_in_content(message.get("content")) + + +def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: + """Rewrite every user-supplied text fragment in place via ``visit``. + + Mutates ``data["messages"]`` and ``data["input"]``. Returns the number + of fragments visited so callers can short-circuit when nothing was + inspected. + """ + visited = 0 + + def _rewrite_content(content: Any) -> Any: + nonlocal visited + if isinstance(content, str): + if content: + visited += 1 + return visit(content) + return content + if isinstance(content, list): + new_parts = [] + for part in content: + if ( + isinstance(part, dict) + and part.get("type") == "text" + and isinstance(part.get("text"), str) + and part["text"] + ): + visited += 1 + new_parts.append({**part, "text": visit(part["text"])}) + else: + new_parts.append(part) + return new_parts + return content + + messages = data.get("messages") + if isinstance(messages, list): + for message in messages: + if isinstance(message, dict) and "content" in message: + message["content"] = _rewrite_content(message["content"]) + + input_value = data.get("input") + if isinstance(input_value, str): + if input_value: + visited += 1 + data["input"] = visit(input_value) + return visited + if isinstance(input_value, list): + # List of full messages: rewrite each message's content. + if input_value and all( + isinstance(item, dict) and "role" in item for item in input_value + ): + for item in input_value: + if "content" in item: + item["content"] = _rewrite_content(item["content"]) + return visited + # List of content parts or strings: rewrite in place. + for idx, item in enumerate(input_value): + if isinstance(item, str) and item: + visited += 1 + input_value[idx] = visit(item) + elif ( + isinstance(item, dict) + and item.get("type") == "text" + and isinstance(item.get("text"), str) + and item["text"] + ): + visited += 1 + input_value[idx] = {**item, "text": visit(item["text"])} + return visited + + return visited + + +def build_inspection_messages(data: Dict[str, Any]) -> List[Dict[str, str]]: + """Synthesize a chat-style messages list for posting to a guardrail API. + + Each returned message has a plain-string ``content`` — multimodal text + parts are joined with newlines and Responses-API ``input`` is lifted + into synthetic messages. Messages with no inspectable text are dropped. + + Hooks that POST ``{"messages": [...]}`` to an external service should + call this instead of ``data.get("messages", [])`` so the Responses API + and multimodal content are covered. + """ + flattened: List[Dict[str, str]] = [] + for message in _iter_inspection_messages(data): + if not isinstance(message, dict): + continue + text = "\n".join(_iter_text_parts_in_content(message.get("content"))) + if not text: + continue + role = message.get("role", "user") or "user" + flattened.append({"role": role, "content": text}) + return flattened diff --git a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py index 1ae87e99c9e..a3866174286 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py +++ b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py @@ -22,6 +22,7 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import build_inspection_messages from litellm.types.utils import ( CallTypesLiteral, Choices, @@ -101,10 +102,11 @@ class AimGuardrail(CustomGuardrail): user_email=user_email, litellm_call_id=call_id, ) + # Covers multimodal list content + Responses-API input. response = await self.async_handler.post( f"{self.api_base}/fw/v1/analyze", headers=headers, - json={"messages": data.get("messages", [])}, + json={"messages": build_inspection_messages(data)}, ) response.raise_for_status() res = response.json() @@ -162,7 +164,7 @@ class AimGuardrail(CustomGuardrail): litellm_call_id=call_id, ), json={ - "messages": request_data.get("messages", []) + "messages": build_inspection_messages(request_data) + [{"role": "assistant", "content": output}] }, ) @@ -233,15 +235,27 @@ class AimGuardrail(CustomGuardrail): user_api_key_dict: UserAPIKeyAuth, response: Union[Any, ModelResponse, EmbeddingResponse, ImageResponse], ) -> Any: - if ( - isinstance(response, ModelResponse) - and response.choices - and isinstance(response.choices[0], Choices) - ): - content = response.choices[0].message.content or "" - aim_output_guardrail_result = await self.call_aim_guardrail_on_output( - data, content, hook="output", key_alias=user_api_key_dict.key_alias + if not (isinstance(response, ModelResponse) and response.choices): + return response + # Inspect every choice — when ``n>1`` the additional completions + # used to bypass Aim entirely because the hook only inspected + # ``choices[0]``. Run inspections concurrently so multi-completion + # responses don't pay an n× latency penalty. + choices_to_inspect = [c for c in response.choices if isinstance(c, Choices)] + if not choices_to_inspect: + return response + results = await asyncio.gather( + *( + self.call_aim_guardrail_on_output( + data, + choice.message.content or "", + hook="output", + key_alias=user_api_key_dict.key_alias, + ) + for choice in choices_to_inspect ) + ) + for choice, aim_output_guardrail_result in zip(choices_to_inspect, results): if aim_output_guardrail_result and aim_output_guardrail_result.get( "detection_message" ): @@ -252,7 +266,7 @@ class AimGuardrail(CustomGuardrail): if aim_output_guardrail_result and aim_output_guardrail_result.get( "redacted_output" ): - response.choices[0].message.content = aim_output_guardrail_result.get( + choice.message.content = aim_output_guardrail_result.get( "redacted_output" ) return response diff --git a/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py b/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py index 2fc05213640..435bb383df5 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py +++ b/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py @@ -20,6 +20,7 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import iter_user_text from litellm.types.guardrails import GuardrailEventHooks from litellm.types.proxy.guardrails.guardrail_hooks.ibm import ( IBMDetectorDetection, @@ -463,65 +464,53 @@ class IBMGuardrailDetector(CustomGuardrail): if self.should_run_guardrail(data=data, event_type=event_type) is not True: return data - _messages = data.get("messages") - if _messages: - contents_to_check: List[str] = [] - for message in _messages: - _content = message.get("content") - if isinstance(_content, str): - contents_to_check.append(_content) + # Covers multimodal list content + Responses-API input. + contents_to_check: List[str] = list(iter_user_text(data)) + if contents_to_check: + if self.is_detector_server: + # Call detector server with all contents at once + result = await self._call_detector_server( + contents=contents_to_check, + request_data=data, + event_type=GuardrailEventHooks.pre_call, + ) - if contents_to_check: - if self.is_detector_server: - # Call detector server with all contents at once - result = await self._call_detector_server( - contents=contents_to_check, + verbose_proxy_logger.debug( + "IBM Detector Server async_pre_call_hook result: %s", result + ) + + # Check if any detections were found + has_violations = False + for message_detections in result: + filtered = self._filter_detections_by_threshold(message_detections) + if filtered: + has_violations = True + break + + if has_violations and self.block_on_detection: + error_message = self._create_error_message_detector_server(result) + raise ValueError(error_message) + + else: + # Call orchestrator for each content separately + for content in contents_to_check: + orchestrator_result = await self._call_orchestrator( + content=content, request_data=data, event_type=GuardrailEventHooks.pre_call, ) verbose_proxy_logger.debug( - "IBM Detector Server async_pre_call_hook result: %s", result + "IBM Orchestrator async_pre_call_hook result: %s", + orchestrator_result, ) - # Check if any detections were found - has_violations = False - for message_detections in result: - filtered = self._filter_detections_by_threshold( - message_detections - ) - if filtered: - has_violations = True - break - - if has_violations and self.block_on_detection: - error_message = self._create_error_message_detector_server( - result - ) - raise ValueError(error_message) - - else: - # Call orchestrator for each content separately - for content in contents_to_check: - orchestrator_result = await self._call_orchestrator( - content=content, - request_data=data, - event_type=GuardrailEventHooks.pre_call, - ) - - verbose_proxy_logger.debug( - "IBM Orchestrator async_pre_call_hook result: %s", - orchestrator_result, - ) - - filtered = self._filter_detections_by_threshold( + filtered = self._filter_detections_by_threshold(orchestrator_result) + if filtered and self.block_on_detection: + error_message = self._create_error_message_orchestrator( orchestrator_result ) - if filtered and self.block_on_detection: - error_message = self._create_error_message_orchestrator( - orchestrator_result - ) - raise ValueError(error_message) + raise ValueError(error_message) # Add guardrail to applied guardrails header add_guardrail_to_applied_guardrails_header( @@ -550,65 +539,53 @@ class IBMGuardrailDetector(CustomGuardrail): if self.should_run_guardrail(data=data, event_type=event_type) is not True: return - _messages = data.get("messages") - if _messages: - contents_to_check: List[str] = [] - for message in _messages: - _content = message.get("content") - if isinstance(_content, str): - contents_to_check.append(_content) + # Covers multimodal list content + Responses-API input. + contents_to_check: List[str] = list(iter_user_text(data)) + if contents_to_check: + if self.is_detector_server: + # Call detector server with all contents at once + result = await self._call_detector_server( + contents=contents_to_check, + request_data=data, + event_type=GuardrailEventHooks.during_call, + ) - if contents_to_check: - if self.is_detector_server: - # Call detector server with all contents at once - result = await self._call_detector_server( - contents=contents_to_check, + verbose_proxy_logger.debug( + "IBM Detector Server async_moderation_hook result: %s", result + ) + + # Check if any detections were found + has_violations = False + for message_detections in result: + filtered = self._filter_detections_by_threshold(message_detections) + if filtered: + has_violations = True + break + + if has_violations and self.block_on_detection: + error_message = self._create_error_message_detector_server(result) + raise ValueError(error_message) + + else: + # Call orchestrator for each content separately + for content in contents_to_check: + orchestrator_result = await self._call_orchestrator( + content=content, request_data=data, event_type=GuardrailEventHooks.during_call, ) verbose_proxy_logger.debug( - "IBM Detector Server async_moderation_hook result: %s", result + "IBM Orchestrator async_moderation_hook result: %s", + orchestrator_result, ) - # Check if any detections were found - has_violations = False - for message_detections in result: - filtered = self._filter_detections_by_threshold( - message_detections - ) - if filtered: - has_violations = True - break - - if has_violations and self.block_on_detection: - error_message = self._create_error_message_detector_server( - result - ) - raise ValueError(error_message) - - else: - # Call orchestrator for each content separately - for content in contents_to_check: - orchestrator_result = await self._call_orchestrator( - content=content, - request_data=data, - event_type=GuardrailEventHooks.during_call, - ) - - verbose_proxy_logger.debug( - "IBM Orchestrator async_moderation_hook result: %s", - orchestrator_result, - ) - - filtered = self._filter_detections_by_threshold( + filtered = self._filter_detections_by_threshold(orchestrator_result) + if filtered and self.block_on_detection: + error_message = self._create_error_message_orchestrator( orchestrator_result ) - if filtered and self.block_on_detection: - error_message = self._create_error_message_orchestrator( - orchestrator_result - ) - raise ValueError(error_message) + raise ValueError(error_message) # Add guardrail to applied guardrails header add_guardrail_to_applied_guardrails_header( diff --git a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py index 7aa26435ba6..167ad4f7905 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py @@ -13,6 +13,7 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import build_inspection_messages from litellm.secret_managers.main import get_secret_str from litellm.types.guardrails import GuardrailEventHooks from litellm.types.llms.openai import AllMessageValues @@ -214,10 +215,11 @@ class LakeraAIGuardrail(CustomGuardrail): ) return data - new_messages: Optional[List[AllMessageValues]] = data.get("messages") - if new_messages is None: + # Covers multimodal list content + Responses-API input. + new_messages = build_inspection_messages(data) + if not new_messages: verbose_proxy_logger.warning( - "Lakera AI: not running guardrail. No messages in data" + "Lakera AI: not running guardrail. No inspectable text in data" ) return data @@ -225,7 +227,7 @@ class LakeraAIGuardrail(CustomGuardrail): ########## 1. Make the Lakera AI v2 guard API request ########## ######################################################### lakera_guardrail_response, masked_entity_count = await self.call_v2_guard( - messages=new_messages, + messages=new_messages, # type: ignore[arg-type] request_data=data, event_type=GuardrailEventHooks.pre_call, ) @@ -280,10 +282,10 @@ class LakeraAIGuardrail(CustomGuardrail): if self.should_run_guardrail(data=data, event_type=event_type) is not True: return - new_messages: Optional[List[AllMessageValues]] = data.get("messages") - if new_messages is None: + new_messages = build_inspection_messages(data) + if not new_messages: verbose_proxy_logger.warning( - "Lakera AI: not running guardrail. No messages in data" + "Lakera AI: not running guardrail. No inspectable text in data" ) return @@ -291,7 +293,7 @@ class LakeraAIGuardrail(CustomGuardrail): ########## 1. Make the Lakera AI v2 guard API request ########## ######################################################### lakera_guardrail_response, masked_entity_count = await self.call_v2_guard( - messages=new_messages, + messages=new_messages, # type: ignore[arg-type] request_data=data, event_type=GuardrailEventHooks.during_call, ) diff --git a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py index a72f3e4c3ff..a7719124b29 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py @@ -50,6 +50,7 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import build_inspection_messages from litellm.types.guardrails import GuardrailEventHooks import litellm @@ -366,7 +367,8 @@ class LassoGuardrail(CustomGuardrail): LassoGuardrailAPIError: If the Lasso API call fails HTTPException: If blocking violations are detected """ - messages: List[Dict[str, str]] = data.get("messages", []) + # Covers multimodal list content + Responses-API input. + messages: List[Dict[str, str]] = build_inspection_messages(data) if not messages: return data diff --git a/litellm/proxy/hooks/azure_content_safety.py b/litellm/proxy/hooks/azure_content_safety.py index b35d671117b..e66ada42085 100644 --- a/litellm/proxy/hooks/azure_content_safety.py +++ b/litellm/proxy/hooks/azure_content_safety.py @@ -8,6 +8,7 @@ from litellm._logging import verbose_proxy_logger from litellm.caching.caching import DualCache from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.guardrails._content_utils import iter_user_text class _PROXY_AzureContentSafety( @@ -118,10 +119,10 @@ class _PROXY_AzureContentSafety( ): verbose_proxy_logger.debug("Inside Azure Content-Safety Pre-Call Hook") try: - if call_type == "completion" and "messages" in data: - for m in data["messages"]: - if "content" in m and isinstance(m["content"], str): - await self.test_violation(content=m["content"], source="input") + if call_type == "completion": + # Covers multimodal list content + Responses-API input. + for text in iter_user_text(data): + await self.test_violation(content=text, source="input") except HTTPException as e: raise e diff --git a/tests/test_litellm/proxy/guardrails/test_content_utils.py b/tests/test_litellm/proxy/guardrails/test_content_utils.py new file mode 100644 index 00000000000..24913633306 --- /dev/null +++ b/tests/test_litellm/proxy/guardrails/test_content_utils.py @@ -0,0 +1,201 @@ +"""Tests for the shared guardrail content extraction helpers.""" + +from litellm.proxy.guardrails._content_utils import ( + build_inspection_messages, + iter_user_text, + walk_user_text, +) + + +# ── iter_user_text ──────────────────────────────────────────────────────────── + + +def test_iter_user_text_string_messages(): + data = { + "messages": [ + {"role": "user", "content": "hello"}, + {"role": "assistant", "content": "hi"}, + ] + } + assert list(iter_user_text(data)) == ["hello", "hi"] + + +def test_iter_user_text_multimodal_list_content(): + """VERIA-11: list-format content must be inspected, not silently skipped.""" + data = { + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "AWS_KEY=AKIA..."}, + {"type": "image_url", "image_url": {"url": "..."}}, + {"type": "text", "text": "more secrets"}, + ], + } + ] + } + assert list(iter_user_text(data)) == ["AWS_KEY=AKIA...", "more secrets"] + + +def test_iter_user_text_responses_api_string_input(): + """fniVO9-F: Responses-API ``input`` must be inspectable when ``messages`` absent.""" + data = {"input": "tell me a secret"} + assert list(iter_user_text(data)) == ["tell me a secret"] + + +def test_iter_user_text_responses_api_list_input_messages(): + data = { + "input": [ + {"role": "user", "content": "first"}, + {"role": "user", "content": "second"}, + ] + } + assert list(iter_user_text(data)) == ["first", "second"] + + +def test_iter_user_text_responses_api_list_input_content_parts(): + data = { + "input": [ + {"type": "text", "text": "alpha"}, + {"type": "image_url", "image_url": {"url": "..."}}, + {"type": "text", "text": "beta"}, + ] + } + assert list(iter_user_text(data)) == ["alpha", "beta"] + + +def test_iter_user_text_walks_messages_and_input_independently(): + """When both are present (rare), every fragment from either field is + inspected — a stricter guarantee than "first one wins".""" + data = { + "messages": [{"role": "user", "content": "msg-content"}], + "input": "input-content", + } + assert list(iter_user_text(data)) == ["msg-content", "input-content"] + + +def test_iter_user_text_empty_data(): + assert list(iter_user_text({})) == [] + assert list(iter_user_text({"messages": []})) == [] + assert list(iter_user_text({"input": ""})) == [] + + +# ── walk_user_text ──────────────────────────────────────────────────────────── + + +def test_walk_user_text_redacts_string_messages_in_place(): + data = { + "messages": [ + {"role": "user", "content": "leak: AKIAEXAMPLE"}, + {"role": "assistant", "content": "ok"}, + ] + } + visited = walk_user_text(data, lambda s: s.replace("AKIAEXAMPLE", "[REDACTED]")) + assert visited == 2 + assert data["messages"][0]["content"] == "leak: [REDACTED]" + assert data["messages"][1]["content"] == "ok" + + +def test_walk_user_text_redacts_multimodal_text_parts(): + """VERIA-11: list-content text parts must be mutable for in-place redaction.""" + data = { + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "AKIAEXAMPLE here"}, + {"type": "image_url", "image_url": {"url": "..."}}, + {"type": "text", "text": "no secret"}, + ], + } + ] + } + visited = walk_user_text(data, lambda s: s.replace("AKIAEXAMPLE", "[REDACTED]")) + assert visited == 2 + parts = data["messages"][0]["content"] + assert parts[0] == {"type": "text", "text": "[REDACTED] here"} + # Non-text part must be left untouched. + assert parts[1] == {"type": "image_url", "image_url": {"url": "..."}} + assert parts[2] == {"type": "text", "text": "no secret"} + + +def test_walk_user_text_redacts_responses_api_string_input(): + data = {"input": "leak AKIAEXAMPLE"} + visited = walk_user_text(data, lambda s: s.replace("AKIAEXAMPLE", "[REDACTED]")) + assert visited == 1 + assert data["input"] == "leak [REDACTED]" + + +def test_walk_user_text_redacts_responses_api_list_input(): + data = { + "input": [ + {"type": "text", "text": "AKIAEXAMPLE"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ] + } + visited = walk_user_text(data, lambda s: f"[redacted]{s}[/]") + assert visited == 1 + assert data["input"][0] == {"type": "text", "text": "[redacted]AKIAEXAMPLE[/]"} + assert data["input"][1] == {"type": "image_url", "image_url": {"url": "..."}} + + +# ── build_inspection_messages ───────────────────────────────────────────────── + + +def test_build_inspection_messages_chat_completion_passthrough(): + data = { + "messages": [ + {"role": "system", "content": "be helpful"}, + {"role": "user", "content": "hi"}, + ] + } + assert build_inspection_messages(data) == [ + {"role": "system", "content": "be helpful"}, + {"role": "user", "content": "hi"}, + ] + + +def test_build_inspection_messages_joins_multimodal_text_parts(): + data = { + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "first part"}, + {"type": "image_url", "image_url": {"url": "..."}}, + {"type": "text", "text": "second part"}, + ], + } + ] + } + assert build_inspection_messages(data) == [ + {"role": "user", "content": "first part\nsecond part"} + ] + + +def test_build_inspection_messages_lifts_responses_api_input(): + """fniVO9-F: ``input`` must be visible to hooks that POST messages to a remote API.""" + data = {"input": "responses-api content"} + assert build_inspection_messages(data) == [ + {"role": "user", "content": "responses-api content"} + ] + + +def test_build_inspection_messages_drops_messages_with_no_text(): + data = { + "messages": [ + {"role": "user", "content": ""}, + { + "role": "user", + "content": [{"type": "image_url", "image_url": {"url": "..."}}], + }, + {"role": "user", "content": "kept"}, + ] + } + assert build_inspection_messages(data) == [{"role": "user", "content": "kept"}] + + +def test_build_inspection_messages_empty_data(): + assert build_inspection_messages({}) == [] + assert build_inspection_messages({"messages": []}) == [] + assert build_inspection_messages({"input": ""}) == [] diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py new file mode 100644 index 00000000000..4cfcbf3c6d9 --- /dev/null +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -0,0 +1,437 @@ +""" +Regression tests for guardrail-coverage gaps. + +Each test confirms that a previously-bypassable input shape now triggers +inspection by the relevant guardrail hook: + +- VERIA-11: multimodal list-format ``content`` is inspected (no longer + silently skipped because of an ``isinstance(content, str)`` check). +- fniVO9-F: Responses-API ``data["input"]`` is inspected (no longer + silently skipped because the hook only looked at ``data["messages"]``). +- yVS0wMDO: Aim's post-call hook inspects every choice when ``n>1``, + not just ``choices[0]``. +""" + +from typing import Any, Dict +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest +from httpx import Request, Response + +from litellm import DualCache +from litellm.proxy._types import UserAPIKeyAuth +from litellm.types.utils import Choices, Message, ModelResponse + + +@pytest.fixture +def user_api_key(): + return UserAPIKeyAuth(api_key="hashed", user_id="u", key_alias=None) + + +# ── Aim ─────────────────────────────────────────────────────────────────────── + + +def _aim_no_action_response() -> Response: + return Response( + status_code=200, + json={"required_action": None}, + request=Request("POST", "https://api.aim.security/fw/v1/analyze"), + ) + + +@pytest.mark.asyncio +async def test_aim_inspects_multimodal_list_content(user_api_key, monkeypatch): + monkeypatch.setenv("AIM_API_KEY", "hs-aim-key") + from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail + + guard = AimGuardrail() + sent_payload: Dict[str, Any] = {} + + async def capture(url, headers, json): + sent_payload.update(json) + return _aim_no_action_response() + + with patch.object(guard.async_handler, "post", side_effect=capture): + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "secret payload"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + }, + call_type="acompletion", + ) + + # The multimodal text part must be visible to Aim. + assert sent_payload["messages"] == [{"role": "user", "content": "secret payload"}] + + +@pytest.mark.asyncio +async def test_aim_inspects_responses_api_input(user_api_key, monkeypatch): + monkeypatch.setenv("AIM_API_KEY", "hs-aim-key") + from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail + + guard = AimGuardrail() + sent_payload: Dict[str, Any] = {} + + async def capture(url, headers, json): + sent_payload.update(json) + return _aim_no_action_response() + + with patch.object(guard.async_handler, "post", side_effect=capture): + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data={"input": "responses-api content"}, + call_type="acompletion", + ) + + assert sent_payload["messages"] == [ + {"role": "user", "content": "responses-api content"} + ] + + +@pytest.mark.asyncio +async def test_aim_post_call_inspects_all_choices(user_api_key, monkeypatch): + """yVS0wMDO: ``n>1`` no longer bypasses Aim by hiding violations in + ``choices[1+]``.""" + monkeypatch.setenv("AIM_API_KEY", "hs-aim-key") + from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail + + guard = AimGuardrail() + inspected_outputs = [] + + async def capture(request_data, output, hook, key_alias): + inspected_outputs.append(output) + return {"redacted_output": output} + + response = ModelResponse( + choices=[ + Choices(index=0, message=Message(role="assistant", content="first")), + Choices(index=1, message=Message(role="assistant", content="second")), + Choices(index=2, message=Message(role="assistant", content="third")), + ] + ) + + with patch.object(guard, "call_aim_guardrail_on_output", side_effect=capture): + await guard.async_post_call_success_hook( + data={"messages": [{"role": "user", "content": "hi"}]}, + user_api_key_dict=user_api_key, + response=response, + ) + + # ``asyncio.gather`` is used for parallelism, so order of inspection is + # not guaranteed. + assert sorted(inspected_outputs) == ["first", "second", "third"] + + +# ── Lakera v2 ───────────────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_lakera_v2_inspects_responses_api_input(user_api_key, monkeypatch): + monkeypatch.setenv("LAKERA_API_KEY", "lk-test") + from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import ( + LakeraAIGuardrail, + ) + + guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="monitor") + + seen_messages = [] + + async def fake_call_v2_guard(messages, request_data, event_type): + seen_messages.append(messages) + return {"flagged": False}, {} + + with patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard): + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data={"input": "responses-api content"}, + call_type="responses", + ) + + assert seen_messages == [[{"role": "user", "content": "responses-api content"}]] + + +@pytest.mark.asyncio +async def test_lakera_v2_inspects_multimodal_list_content(user_api_key, monkeypatch): + monkeypatch.setenv("LAKERA_API_KEY", "lk-test") + from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import ( + LakeraAIGuardrail, + ) + + guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="monitor") + seen_messages = [] + + async def fake_call_v2_guard(messages, request_data, event_type): + seen_messages.append(messages) + return {"flagged": False}, {} + + with patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard): + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "AKIAEXAMPLE"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + }, + call_type="acompletion", + ) + + assert seen_messages == [[{"role": "user", "content": "AKIAEXAMPLE"}]] + + +# ── Lasso ───────────────────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_lasso_inspects_responses_api_input(user_api_key, monkeypatch): + monkeypatch.setenv("LASSO_API_KEY", "ls-test") + from litellm.proxy.guardrails.guardrail_hooks.lasso.lasso import LassoGuardrail + + guard = LassoGuardrail(lasso_api_key="ls-test") + + seen_messages = [] + + async def fake_handle_classification(data, cache, message_type, messages): + seen_messages.append(messages) + return data + + with patch.object( + guard, "_handle_classification", side_effect=fake_handle_classification + ): + await guard._run_lasso_guardrail( + data={"input": "responses-api content"}, + cache=DualCache(), + message_type="PROMPT", + ) + + assert seen_messages == [[{"role": "user", "content": "responses-api content"}]] + + +# ── Banned Keywords ─────────────────────────────────────────────────────────── + + +def test_banned_keywords_blocks_multimodal_content(monkeypatch): + """VERIA-11: a banned word hidden in a multimodal text part is now caught.""" + monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False) + from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords + from fastapi import HTTPException + + guard = _ENTERPRISE_BannedKeywords() + + async def _run(): + await guard.async_pre_call_hook( + user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"), + cache=DualCache(), + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "forbidden word here"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + }, + call_type="completion", + ) + + import asyncio + + with pytest.raises(HTTPException) as exc: + asyncio.run(_run()) + assert "forbidden" in str(exc.value.detail).lower() + + +def test_banned_keywords_blocks_responses_api_input(monkeypatch): + monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False) + from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords + from fastapi import HTTPException + + guard = _ENTERPRISE_BannedKeywords() + + async def _run(): + await guard.async_pre_call_hook( + user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"), + cache=DualCache(), + data={"input": "this contains forbidden content"}, + call_type="completion", + ) + + import asyncio + + with pytest.raises(HTTPException): + asyncio.run(_run()) + + +# ── Secret Detection ────────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_secret_detection_redacts_multimodal_text_parts(user_api_key): + from enterprise.litellm_enterprise.enterprise_callbacks.secret_detection import ( + _ENTERPRISE_SecretDetection, + ) + + guard = _ENTERPRISE_SecretDetection() + data = { + "messages": [ + { + "role": "user", + "content": [ + { + "type": "text", + "text": "AKIAIOSFODNN7EXAMPLE is the key", + }, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + } + + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data=data, + call_type="completion", + ) + + parts = data["messages"][0]["content"] + assert "AKIAIOSFODNN7EXAMPLE" not in parts[0]["text"] + assert "[REDACTED]" in parts[0]["text"] + # Non-text part is preserved untouched. + assert parts[1] == {"type": "image_url", "image_url": {"url": "..."}} + + +@pytest.mark.asyncio +async def test_secret_detection_redacts_responses_api_input(user_api_key): + from enterprise.litellm_enterprise.enterprise_callbacks.secret_detection import ( + _ENTERPRISE_SecretDetection, + ) + + guard = _ENTERPRISE_SecretDetection() + data = {"input": "leak: AKIAIOSFODNN7EXAMPLE"} + + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data=data, + call_type="moderation", + ) + + assert "AKIAIOSFODNN7EXAMPLE" not in data["input"] + assert "[REDACTED]" in data["input"] + + +# ── OpenAI Moderation ───────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_openai_moderation_inspects_multimodal_content(monkeypatch, user_api_key): + """The aggregated text passed to ``llm_router.amoderation`` must include + list-format text parts and Responses-API input — without this, multimodal + content silently passed moderation.""" + from enterprise.enterprise_hooks.openai_moderation import ( + _ENTERPRISE_OpenAI_Moderation, + ) + + guard = _ENTERPRISE_OpenAI_Moderation() + + seen_inputs = [] + + class FakeModeration: + results = [type("R", (), {"flagged": False})()] + + async def fake_amoderation(model, input): + seen_inputs.append(input) + return FakeModeration() + + fake_router = MagicMock() + fake_router.amoderation = AsyncMock(side_effect=fake_amoderation) + + monkeypatch.setattr( + "litellm.proxy.proxy_server.llm_router", fake_router, raising=False + ) + + await guard.async_moderation_hook( + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "alpha "}, + {"type": "image_url", "image_url": {"url": "..."}}, + {"type": "text", "text": "beta"}, + ], + } + ] + }, + user_api_key_dict=user_api_key, + call_type="acompletion", + ) + + assert seen_inputs == ["alpha beta"] + + +# ── Google Text Moderation ──────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_google_text_moderation_inspects_multimodal_content(user_api_key): + """The text passed to Google's moderation client must include list-format + text parts.""" + from enterprise.enterprise_hooks.google_text_moderation import ( + _ENTERPRISE_GoogleTextModeration, + ) + + guard = _ENTERPRISE_GoogleTextModeration.__new__(_ENTERPRISE_GoogleTextModeration) + seen_documents = [] + + def fake_language_document(content, type_): + seen_documents.append(content) + return MagicMock() + + fake_response = MagicMock() + fake_response.moderation_categories = [] + + guard.language_document = fake_language_document + guard.moderate_text_request = MagicMock(return_value=MagicMock()) + guard.document_type = MagicMock() + guard.client = MagicMock() + guard.client.moderate_text = MagicMock(return_value=fake_response) + + await guard.async_moderation_hook( + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "hello "}, + {"type": "image_url", "image_url": {"url": "..."}}, + {"type": "text", "text": "world"}, + ], + } + ] + }, + user_api_key_dict=user_api_key, + call_type="acompletion", + ) + + assert seen_documents == ["hello world"] From d7677085712958f5d14e6b0ae5072600663afb4b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 04:01:27 +0000 Subject: [PATCH 039/160] fix(guardrails): add mypy type-ignore for lakera_v2 mask call CI mypy flagged the two ``_mask_pii_in_messages(messages=new_messages, ...)`` call sites because ``build_inspection_messages`` returns ``List[Dict[str, str]]`` while ``_mask_pii_in_messages`` declares ``List[AllMessageValues]``. The runtime payload matches; widening the return type to a Union of TypedDicts is a larger refactor than is warranted by this hardening change, so add the localised ``# type: ignore`` to match the two we already added on the ``call_v2_guard`` calls above. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py index 167ad4f7905..d3f19966be2 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py @@ -239,7 +239,7 @@ class LakeraAIGuardrail(CustomGuardrail): # If only PII violations exist, mask the PII if self._is_only_pii_violation(lakera_guardrail_response): data["messages"] = self._mask_pii_in_messages( - messages=new_messages, + messages=new_messages, # type: ignore[arg-type] lakera_response=lakera_guardrail_response, masked_entity_count=masked_entity_count, ) @@ -305,7 +305,7 @@ class LakeraAIGuardrail(CustomGuardrail): # If only PII violations exist, mask the PII if self._is_only_pii_violation(lakera_guardrail_response): data["messages"] = self._mask_pii_in_messages( - messages=new_messages, + messages=new_messages, # type: ignore[arg-type] lakera_response=lakera_guardrail_response, masked_entity_count=masked_entity_count, ) From 7514bb4740647876216364fba632274d06cf13c0 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 04:10:04 +0000 Subject: [PATCH 040/160] fix(guardrails): close mixed-list gap, drop dead code, rename helper MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Greptile P2 follow-ups on _content_utils.py: - Drop unreachable ``_resolve_messages``. The new ``_iter_inspection_messages`` walks ``messages`` AND ``input`` independently; leaving the old fallback-only variant around invited a future maintainer to wire it back up and silently narrow coverage. - Rename ``iter_user_text`` → ``iter_message_text``. The helper walks every role (user, assistant, system); the old name implied user-turn content only. Callers and tests updated. - Close mixed-list coverage gap. When ``data["input"]`` was a list mixing content-part dicts and bare strings, ``iter_message_text`` and ``build_inspection_messages`` only saw the dict parts while ``walk_user_text`` already inspected both. ``_iter_text_parts_in_content`` now treats bare strings inside a content list as text fragments, so read and write helpers agree on coverage. Adds two regression tests for the mixed-list shape. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../enterprise_hooks/banned_keywords.py | 4 +- .../google_text_moderation.py | 4 +- .../enterprise_hooks/openai_moderation.py | 4 +- litellm/proxy/guardrails/_content_utils.py | 42 ++++++----- .../ibm_guardrails/ibm_detector.py | 6 +- litellm/proxy/hooks/azure_content_safety.py | 4 +- .../proxy/guardrails/test_content_utils.py | 72 ++++++++++++++----- 7 files changed, 89 insertions(+), 47 deletions(-) diff --git a/enterprise/enterprise_hooks/banned_keywords.py b/enterprise/enterprise_hooks/banned_keywords.py index aafbb8cf402..a86b59daf56 100644 --- a/enterprise/enterprise_hooks/banned_keywords.py +++ b/enterprise/enterprise_hooks/banned_keywords.py @@ -11,7 +11,7 @@ from typing import Literal import litellm from litellm.caching.caching import DualCache from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_user_text +from litellm.proxy.guardrails._content_utils import iter_message_text from litellm.integrations.custom_logger import CustomLogger from litellm._logging import verbose_proxy_logger from fastapi import HTTPException @@ -76,7 +76,7 @@ class _ENTERPRISE_BannedKeywords(CustomLogger): self.print_verbose("Inside Banned Keyword List Pre-Call Hook") if call_type == "completion": # Covers multimodal list content + Responses-API input. - for text in iter_user_text(data): + for text in iter_message_text(data): self.test_violation(test_str=text) except HTTPException as e: diff --git a/enterprise/enterprise_hooks/google_text_moderation.py b/enterprise/enterprise_hooks/google_text_moderation.py index 75829c41ca8..5b2d71c5cca 100644 --- a/enterprise/enterprise_hooks/google_text_moderation.py +++ b/enterprise/enterprise_hooks/google_text_moderation.py @@ -12,7 +12,7 @@ import litellm from litellm._logging import verbose_proxy_logger from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_user_text +from litellm.proxy.guardrails._content_utils import iter_message_text from litellm.types.utils import CallTypesLiteral @@ -96,7 +96,7 @@ class _ENTERPRISE_GoogleTextModeration(CustomLogger): - Rejects request if it fails safety check """ # Covers multimodal list content + Responses-API input. - text = "".join(iter_user_text(data)) + text = "".join(iter_message_text(data)) if text: document = self.language_document(content=text, type_=self.document_type) diff --git a/enterprise/enterprise_hooks/openai_moderation.py b/enterprise/enterprise_hooks/openai_moderation.py index a98d5b30d78..2162370804a 100644 --- a/enterprise/enterprise_hooks/openai_moderation.py +++ b/enterprise/enterprise_hooks/openai_moderation.py @@ -19,7 +19,7 @@ import litellm from litellm._logging import verbose_proxy_logger from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_user_text +from litellm.proxy.guardrails._content_utils import iter_message_text from litellm.types.utils import CallTypesLiteral @@ -39,7 +39,7 @@ class _ENTERPRISE_OpenAI_Moderation(CustomLogger): call_type: CallTypesLiteral, ): # Covers multimodal list content + Responses-API input. - text = "".join(iter_user_text(data)) + text = "".join(iter_message_text(data)) from litellm.proxy.proxy_server import llm_router diff --git a/litellm/proxy/guardrails/_content_utils.py b/litellm/proxy/guardrails/_content_utils.py index 97a022768e5..576fefe85a7 100644 --- a/litellm/proxy/guardrails/_content_utils.py +++ b/litellm/proxy/guardrails/_content_utils.py @@ -1,7 +1,7 @@ """ -Shared helpers for guardrail hooks: extract user-supplied text from a -request body regardless of whether it uses Chat Completions ``messages``, -Responses-API ``input``, or multimodal list-format ``content`` parts. +Shared helpers for guardrail hooks: extract text from a request body +regardless of whether it uses Chat Completions ``messages``, Responses-API +``input``, or multimodal list-format ``content`` parts. Hooks that only check ``data["messages"]`` for string content silently skip the other shapes — these helpers normalise that so every hook sees @@ -19,6 +19,12 @@ def _iter_text_parts_in_content(content: Any) -> Iterator[str]: yield content elif isinstance(content, list): for part in content: + if isinstance(part, str): + # A bare string in a content/input list is itself a text + # fragment (Responses-API mixed-list shape). + if part: + yield part + continue if not isinstance(part, dict): continue if part.get("type") == "text": @@ -36,20 +42,13 @@ def _coerce_input_to_messages(input_value: Any) -> List[Dict[str, Any]]: isinstance(item, dict) and "role" in item for item in input_value ): return list(input_value) - if input_value and all(isinstance(item, str) for item in input_value): - return [{"role": "user", "content": item} for item in input_value] + # Mixed lists (content-part dicts + bare strings) and pure + # string/dict lists all become a single user message; the content + # iterator below handles each element type uniformly. return [{"role": "user", "content": input_value}] return [] -def _resolve_messages(data: Dict[str, Any]) -> List[Dict[str, Any]]: - """Return the messages list to inspect, falling back to ``input``.""" - messages = data.get("messages") - if isinstance(messages, list) and messages: - return messages - return _coerce_input_to_messages(data.get("input")) - - def _iter_inspection_messages(data: Dict[str, Any]) -> Iterator[Dict[str, Any]]: """Yield every message-like dict, walking ``messages`` AND ``input``.""" messages = data.get("messages") @@ -58,8 +57,12 @@ def _iter_inspection_messages(data: Dict[str, Any]) -> Iterator[Dict[str, Any]]: yield from _coerce_input_to_messages(data.get("input")) -def iter_user_text(data: Dict[str, Any]) -> Iterator[str]: - """Yield every user-supplied text fragment from ``messages`` and ``input``.""" +def iter_message_text(data: Dict[str, Any]) -> Iterator[str]: + """Yield every text fragment from ``messages`` AND ``input``. + + Walks every role (user, assistant, system, …) — guardrails inspect + the entire conversation, not just user turns. + """ for message in _iter_inspection_messages(data): if not isinstance(message, dict): continue @@ -67,7 +70,7 @@ def iter_user_text(data: Dict[str, Any]) -> Iterator[str]: def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: - """Rewrite every user-supplied text fragment in place via ``visit``. + """Rewrite every text fragment in place via ``visit``. Mutates ``data["messages"]`` and ``data["input"]``. Returns the number of fragments visited so callers can short-circuit when nothing was @@ -85,7 +88,10 @@ def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: if isinstance(content, list): new_parts = [] for part in content: - if ( + if isinstance(part, str) and part: + visited += 1 + new_parts.append(visit(part)) + elif ( isinstance(part, dict) and part.get("type") == "text" and isinstance(part.get("text"), str) @@ -119,7 +125,7 @@ def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: if "content" in item: item["content"] = _rewrite_content(item["content"]) return visited - # List of content parts or strings: rewrite in place. + # List of content parts and/or bare strings: rewrite in place. for idx, item in enumerate(input_value): if isinstance(item, str) and item: visited += 1 diff --git a/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py b/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py index 435bb383df5..36d70a37c7c 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py +++ b/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py @@ -20,7 +20,7 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_user_text +from litellm.proxy.guardrails._content_utils import iter_message_text from litellm.types.guardrails import GuardrailEventHooks from litellm.types.proxy.guardrails.guardrail_hooks.ibm import ( IBMDetectorDetection, @@ -465,7 +465,7 @@ class IBMGuardrailDetector(CustomGuardrail): return data # Covers multimodal list content + Responses-API input. - contents_to_check: List[str] = list(iter_user_text(data)) + contents_to_check: List[str] = list(iter_message_text(data)) if contents_to_check: if self.is_detector_server: # Call detector server with all contents at once @@ -540,7 +540,7 @@ class IBMGuardrailDetector(CustomGuardrail): return # Covers multimodal list content + Responses-API input. - contents_to_check: List[str] = list(iter_user_text(data)) + contents_to_check: List[str] = list(iter_message_text(data)) if contents_to_check: if self.is_detector_server: # Call detector server with all contents at once diff --git a/litellm/proxy/hooks/azure_content_safety.py b/litellm/proxy/hooks/azure_content_safety.py index e66ada42085..a21f0566ccd 100644 --- a/litellm/proxy/hooks/azure_content_safety.py +++ b/litellm/proxy/hooks/azure_content_safety.py @@ -8,7 +8,7 @@ from litellm._logging import verbose_proxy_logger from litellm.caching.caching import DualCache from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_user_text +from litellm.proxy.guardrails._content_utils import iter_message_text class _PROXY_AzureContentSafety( @@ -121,7 +121,7 @@ class _PROXY_AzureContentSafety( try: if call_type == "completion": # Covers multimodal list content + Responses-API input. - for text in iter_user_text(data): + for text in iter_message_text(data): await self.test_violation(content=text, source="input") except HTTPException as e: diff --git a/tests/test_litellm/proxy/guardrails/test_content_utils.py b/tests/test_litellm/proxy/guardrails/test_content_utils.py index 24913633306..e26dc7aa2d4 100644 --- a/tests/test_litellm/proxy/guardrails/test_content_utils.py +++ b/tests/test_litellm/proxy/guardrails/test_content_utils.py @@ -2,25 +2,25 @@ from litellm.proxy.guardrails._content_utils import ( build_inspection_messages, - iter_user_text, + iter_message_text, walk_user_text, ) -# ── iter_user_text ──────────────────────────────────────────────────────────── +# ── iter_message_text ──────────────────────────────────────────────────────────── -def test_iter_user_text_string_messages(): +def test_iter_message_text_string_messages(): data = { "messages": [ {"role": "user", "content": "hello"}, {"role": "assistant", "content": "hi"}, ] } - assert list(iter_user_text(data)) == ["hello", "hi"] + assert list(iter_message_text(data)) == ["hello", "hi"] -def test_iter_user_text_multimodal_list_content(): +def test_iter_message_text_multimodal_list_content(): """VERIA-11: list-format content must be inspected, not silently skipped.""" data = { "messages": [ @@ -34,26 +34,26 @@ def test_iter_user_text_multimodal_list_content(): } ] } - assert list(iter_user_text(data)) == ["AWS_KEY=AKIA...", "more secrets"] + assert list(iter_message_text(data)) == ["AWS_KEY=AKIA...", "more secrets"] -def test_iter_user_text_responses_api_string_input(): +def test_iter_message_text_responses_api_string_input(): """fniVO9-F: Responses-API ``input`` must be inspectable when ``messages`` absent.""" data = {"input": "tell me a secret"} - assert list(iter_user_text(data)) == ["tell me a secret"] + assert list(iter_message_text(data)) == ["tell me a secret"] -def test_iter_user_text_responses_api_list_input_messages(): +def test_iter_message_text_responses_api_list_input_messages(): data = { "input": [ {"role": "user", "content": "first"}, {"role": "user", "content": "second"}, ] } - assert list(iter_user_text(data)) == ["first", "second"] + assert list(iter_message_text(data)) == ["first", "second"] -def test_iter_user_text_responses_api_list_input_content_parts(): +def test_iter_message_text_responses_api_list_input_content_parts(): data = { "input": [ {"type": "text", "text": "alpha"}, @@ -61,23 +61,42 @@ def test_iter_user_text_responses_api_list_input_content_parts(): {"type": "text", "text": "beta"}, ] } - assert list(iter_user_text(data)) == ["alpha", "beta"] + assert list(iter_message_text(data)) == ["alpha", "beta"] -def test_iter_user_text_walks_messages_and_input_independently(): +def test_iter_message_text_responses_api_list_input_mixed_dicts_and_strings(): + """Greptile P2: mixed-list ``input`` with content-part dicts AND bare + strings must yield every text fragment — read helpers used to truncate + the bare strings.""" + data = { + "input": [ + {"type": "text", "text": "from-dict"}, + "from-bare-string", + {"type": "image_url", "image_url": {"url": "..."}}, + "another-bare-string", + ] + } + assert list(iter_message_text(data)) == [ + "from-dict", + "from-bare-string", + "another-bare-string", + ] + + +def test_iter_message_text_walks_messages_and_input_independently(): """When both are present (rare), every fragment from either field is inspected — a stricter guarantee than "first one wins".""" data = { "messages": [{"role": "user", "content": "msg-content"}], "input": "input-content", } - assert list(iter_user_text(data)) == ["msg-content", "input-content"] + assert list(iter_message_text(data)) == ["msg-content", "input-content"] -def test_iter_user_text_empty_data(): - assert list(iter_user_text({})) == [] - assert list(iter_user_text({"messages": []})) == [] - assert list(iter_user_text({"input": ""})) == [] +def test_iter_message_text_empty_data(): + assert list(iter_message_text({})) == [] + assert list(iter_message_text({"messages": []})) == [] + assert list(iter_message_text({"input": ""})) == [] # ── walk_user_text ──────────────────────────────────────────────────────────── @@ -139,6 +158,23 @@ def test_walk_user_text_redacts_responses_api_list_input(): assert data["input"][1] == {"type": "image_url", "image_url": {"url": "..."}} +def test_walk_user_text_redacts_mixed_list_input(): + """Read and write helpers must agree on coverage — bare strings inside + a mixed ``input`` list are inspected by both.""" + data = { + "input": [ + {"type": "text", "text": "secret-one"}, + "secret-two", + {"type": "image_url", "image_url": {"url": "..."}}, + ] + } + visited = walk_user_text(data, lambda s: f"<{s}>") + assert visited == 2 + assert data["input"][0] == {"type": "text", "text": ""} + assert data["input"][1] == "" + assert data["input"][2] == {"type": "image_url", "image_url": {"url": "..."}} + + # ── build_inspection_messages ───────────────────────────────────────────────── From 9fcf2347505c10037d8a6ee65c2f951d612a0f77 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 04:22:57 +0000 Subject: [PATCH 041/160] fix(guardrails): degrade Lakera v2 mask mode to block on multimodal input MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Mask-in-place uses the offsets that Lakera returns for the inspection payload. ``build_inspection_messages`` flattens multimodal content into joined text before sending to Lakera, so the offsets refer to the flattened representation. Writing those offsets back via ``_mask_pii_in_messages`` and overwriting ``data["messages"]`` would silently strip image/audio parts from the original request — that is a real functional regression for Lakera + mask mode + multimodal input. Detect multimodal input (any list-format ``content`` or non-string ``data["input"]``) up front and skip the mask-in-place branch in that case. The hook then falls into the standard block-on-detect path so PII is still blocked but the multimodal payload is never silently rewritten. Per-part masking that preserves multimodal structure is the right long-term fix; tracking that as a follow-up. Also: add ``has_non_string_content`` to ``_content_utils`` (with tests) and a regression test that asserts multimodal+PII raises an HTTPException instead of returning a flattened request body. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/guardrails/_content_utils.py | 24 ++++++++- .../guardrail_hooks/lakera_ai_v2.py | 36 +++++++++---- .../proxy/guardrails/test_content_utils.py | 28 ++++++++++ .../guardrails/test_guardrail_coverage.py | 52 +++++++++++++++++++ 4 files changed, 130 insertions(+), 10 deletions(-) diff --git a/litellm/proxy/guardrails/_content_utils.py b/litellm/proxy/guardrails/_content_utils.py index 576fefe85a7..6c681c322f1 100644 --- a/litellm/proxy/guardrails/_content_utils.py +++ b/litellm/proxy/guardrails/_content_utils.py @@ -86,7 +86,7 @@ def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: return visit(content) return content if isinstance(content, list): - new_parts = [] + new_parts: List[Any] = [] for part in content: if isinstance(part, str) and part: visited += 1 @@ -143,6 +143,28 @@ def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: return visited +def has_non_string_content(data: Dict[str, Any]) -> bool: + """Return True if any inspected content is not a plain string. + + Used by hooks whose mask/redact path operates on string offsets and + therefore cannot preserve multimodal non-text parts. Such hooks should + degrade to block-on-detect when this returns True so image/audio parts + are not silently stripped during in-place masking. + """ + messages = data.get("messages") + if isinstance(messages, list): + for message in messages: + if isinstance(message, dict) and not isinstance( + message.get("content"), str + ): + if message.get("content") is not None: + return True + input_value = data.get("input") + if input_value is not None and not isinstance(input_value, str): + return True + return False + + def build_inspection_messages(data: Dict[str, Any]) -> List[Dict[str, str]]: """Synthesize a chat-style messages list for posting to a guardrail API. diff --git a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py index d3f19966be2..4d6e6a302b5 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py @@ -13,7 +13,10 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import build_inspection_messages +from litellm.proxy.guardrails._content_utils import ( + build_inspection_messages, + has_non_string_content, +) from litellm.secret_managers.main import get_secret_str from litellm.types.guardrails import GuardrailEventHooks from litellm.types.llms.openai import AllMessageValues @@ -223,6 +226,13 @@ class LakeraAIGuardrail(CustomGuardrail): ) return data + # Mask-in-place uses offsets returned by Lakera and can only + # preserve non-text parts (images, audio, …) when the original + # content is a plain string. For multimodal/Responses-API input + # we degrade to block-on-detect so we never silently strip image + # parts while attempting to redact text. + is_multimodal_input = has_non_string_content(data) + ######################################################### ########## 1. Make the Lakera AI v2 guard API request ########## ######################################################### @@ -236,8 +246,11 @@ class LakeraAIGuardrail(CustomGuardrail): ########## 2. Handle flagged content ########## ######################################################### if lakera_guardrail_response.get("flagged") is True: - # If only PII violations exist, mask the PII - if self._is_only_pii_violation(lakera_guardrail_response): + # If only PII violations exist, mask the PII (string input only). + if ( + self._is_only_pii_violation(lakera_guardrail_response) + and not is_multimodal_input + ): data["messages"] = self._mask_pii_in_messages( messages=new_messages, # type: ignore[arg-type] lakera_response=lakera_guardrail_response, @@ -254,7 +267,9 @@ class LakeraAIGuardrail(CustomGuardrail): ) # Log violation but continue elif self.on_flagged == "block": - # If there are other violations or not set to mask PII, raise exception + # Either non-PII violations, or PII on multimodal input + # (which cannot be masked in place without dropping + # image/audio parts) — raise the standard block error. raise self._get_http_exception_for_blocked_guardrail( lakera_guardrail_response ) @@ -289,6 +304,10 @@ class LakeraAIGuardrail(CustomGuardrail): ) return + # See ``async_pre_call_hook`` — multimodal input degrades to + # block-on-detect because mask-in-place would drop image parts. + is_multimodal_input = has_non_string_content(data) + ######################################################### ########## 1. Make the Lakera AI v2 guard API request ########## ######################################################### @@ -302,8 +321,10 @@ class LakeraAIGuardrail(CustomGuardrail): ########## 2. Handle flagged content ########## ######################################################### if lakera_guardrail_response.get("flagged") is True: - # If only PII violations exist, mask the PII - if self._is_only_pii_violation(lakera_guardrail_response): + if ( + self._is_only_pii_violation(lakera_guardrail_response) + and not is_multimodal_input + ): data["messages"] = self._mask_pii_in_messages( messages=new_messages, # type: ignore[arg-type] lakera_response=lakera_guardrail_response, @@ -313,14 +334,11 @@ class LakeraAIGuardrail(CustomGuardrail): "Lakera AI: Masked PII in messages instead of blocking request" ) else: - # Check on_flagged setting if self.on_flagged == "monitor": verbose_proxy_logger.warning( "Lakera Guardrail: Monitoring mode - violation detected but allowing request" ) - # Log violation but continue elif self.on_flagged == "block": - # If there are other violations or not set to mask PII, raise exception raise self._get_http_exception_for_blocked_guardrail( lakera_guardrail_response ) diff --git a/tests/test_litellm/proxy/guardrails/test_content_utils.py b/tests/test_litellm/proxy/guardrails/test_content_utils.py index e26dc7aa2d4..23683abd1cc 100644 --- a/tests/test_litellm/proxy/guardrails/test_content_utils.py +++ b/tests/test_litellm/proxy/guardrails/test_content_utils.py @@ -2,6 +2,7 @@ from litellm.proxy.guardrails._content_utils import ( build_inspection_messages, + has_non_string_content, iter_message_text, walk_user_text, ) @@ -235,3 +236,30 @@ def test_build_inspection_messages_empty_data(): assert build_inspection_messages({}) == [] assert build_inspection_messages({"messages": []}) == [] assert build_inspection_messages({"input": ""}) == [] + + +# ── has_non_string_content ──────────────────────────────────────────────────── + + +def test_has_non_string_content_string_messages(): + data = {"messages": [{"role": "user", "content": "hello"}]} + assert has_non_string_content(data) is False + + +def test_has_non_string_content_multimodal_messages(): + data = {"messages": [{"role": "user", "content": [{"type": "text", "text": "hi"}]}]} + assert has_non_string_content(data) is True + + +def test_has_non_string_content_responses_api_string_input(): + assert has_non_string_content({"input": "plain string"}) is False + + +def test_has_non_string_content_responses_api_list_input(): + assert has_non_string_content({"input": ["a", "b"]}) is True + + +def test_has_non_string_content_empty_data(): + assert has_non_string_content({}) is False + assert has_non_string_content({"messages": []}) is False + assert has_non_string_content({"input": ""}) is False diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py index 4cfcbf3c6d9..a4fb995ed54 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -161,6 +161,58 @@ async def test_lakera_v2_inspects_responses_api_input(user_api_key, monkeypatch) assert seen_messages == [[{"role": "user", "content": "responses-api content"}]] +@pytest.mark.asyncio +async def test_lakera_v2_multimodal_pii_degrades_to_block(user_api_key, monkeypatch): + """Mask-in-place uses Lakera offsets and cannot preserve image/audio + parts of multimodal input. When PII is detected on a multimodal + request, the hook must raise the block exception instead of silently + flattening ``data["messages"]`` to text-only.""" + monkeypatch.setenv("LAKERA_API_KEY", "lk-test") + from fastapi import HTTPException + + from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import ( + LakeraAIGuardrail, + ) + + guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="block") + + async def fake_call_v2_guard(messages, request_data, event_type): + return ( + { + "flagged": True, + "payload": [{"detector_type": "pii/email", "start": 0, "end": 5}], + }, + {"EMAIL": 1}, + ) + + with ( + patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard), + patch.object(guard, "_is_only_pii_violation", return_value=True), + patch.object( + guard, + "_get_http_exception_for_blocked_guardrail", + return_value=HTTPException(status_code=400, detail="blocked"), + ), + ): + with pytest.raises(HTTPException): + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "leak"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + }, + call_type="acompletion", + ) + + @pytest.mark.asyncio async def test_lakera_v2_inspects_multimodal_list_content(user_api_key, monkeypatch): monkeypatch.setenv("LAKERA_API_KEY", "lk-test") From 40817caa4a1008149dd132c09d8edfa5f66f835b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 04:28:22 +0000 Subject: [PATCH 042/160] fix(guardrails): degrade Lasso/Aim mask paths to block on multimodal Two more in-place rewrite paths exhibit the same regression as Lakera v2: overwriting ``data["messages"]`` with text-only redacted versions silently strips image/audio parts from multimodal requests. - ``LassoGuardrail._run_lasso_guardrail``: when ``mask=True`` AND input is multimodal/Responses-API list, fall back to the classify endpoint (which raises on BLOCK actions but never overwrites the payload). - ``AimGuardrail._anonymize_request``: when input is multimodal, raise the standard 400 instead of replacing ``data["messages"]`` with the text-only ``redacted_chat`` from Aim. The error message tells the user to either send plain string content or rely on block-mode. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../guardrails/guardrail_hooks/aim/aim.py | 19 +++++++- .../guardrails/guardrail_hooks/lasso/lasso.py | 17 ++++--- .../guardrails/test_guardrail_coverage.py | 48 +++++++++++++++++++ 3 files changed, 77 insertions(+), 7 deletions(-) diff --git a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py index a3866174286..749bd4acf2b 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py +++ b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py @@ -22,7 +22,10 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import build_inspection_messages +from litellm.proxy.guardrails._content_utils import ( + build_inspection_messages, + has_non_string_content, +) from litellm.types.utils import ( CallTypesLiteral, Choices, @@ -139,6 +142,20 @@ class AimGuardrail(CustomGuardrail): redacted_chat = res.get("redacted_chat") if not redacted_chat: return data + # Aim returns text-only redacted messages. Overwriting + # ``data["messages"]`` with that would silently strip image/audio + # parts from a multimodal request — degrade to block so the + # multimodal payload is never silently rewritten. + if has_non_string_content(data): + raise HTTPException( + status_code=400, + detail=( + "Aim: anonymize action requested for multimodal input " + "but mask-in-place would drop non-text parts. Send the " + "request with plain string content to use anonymize, " + "or rely on block-mode policies." + ), + ) data["messages"] = [ { "role": message["role"], diff --git a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py index a7719124b29..04697981085 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py @@ -50,7 +50,10 @@ from litellm.llms.custom_httpx.http_handler import ( httpxSpecialProvider, ) from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import build_inspection_messages +from litellm.proxy.guardrails._content_utils import ( + build_inspection_messages, + has_non_string_content, +) from litellm.types.guardrails import GuardrailEventHooks import litellm @@ -372,12 +375,14 @@ class LassoGuardrail(CustomGuardrail): if not messages: return data - if self.mask: + # Lasso's classifix endpoint returns masked text that we copy back + # into ``data["messages"]``. For multimodal/Responses-API input we + # would silently strip image/audio parts, so fall back to the + # classify endpoint (which still raises on BLOCK actions) and + # leave the original payload intact. + if self.mask and not has_non_string_content(data): return await self._handle_masking(data, cache, message_type, messages) - else: - return await self._handle_classification( - data, cache, message_type, messages - ) + return await self._handle_classification(data, cache, message_type, messages) async def _handle_classification( self, diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py index a4fb995ed54..df321b80749 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -251,6 +251,54 @@ async def test_lakera_v2_inspects_multimodal_list_content(user_api_key, monkeypa # ── Lasso ───────────────────────────────────────────────────────────────────── +@pytest.mark.asyncio +async def test_lasso_multimodal_falls_back_to_classify(user_api_key, monkeypatch): + """Lasso's classifix (mask) endpoint returns text that overwrites + ``data["messages"]``. For multimodal input that would silently strip + image parts — the hook must use the classify endpoint instead and + leave the original payload intact.""" + monkeypatch.setenv("LASSO_API_KEY", "ls-test") + from litellm.proxy.guardrails.guardrail_hooks.lasso.lasso import LassoGuardrail + + guard = LassoGuardrail(lasso_api_key="ls-test", mask=True) + + masking_called = False + classify_called = False + + async def fake_masking(data, cache, message_type, messages): + nonlocal masking_called + masking_called = True + return data + + async def fake_classification(data, cache, message_type, messages): + nonlocal classify_called + classify_called = True + return data + + with ( + patch.object(guard, "_handle_masking", side_effect=fake_masking), + patch.object(guard, "_handle_classification", side_effect=fake_classification), + ): + await guard._run_lasso_guardrail( + data={ + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "hello"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + }, + cache=DualCache(), + message_type="PROMPT", + ) + + assert classify_called is True + assert masking_called is False + + @pytest.mark.asyncio async def test_lasso_inspects_responses_api_input(user_api_key, monkeypatch): monkeypatch.setenv("LASSO_API_KEY", "ls-test") From 5397ac4562e853e41be0b7a8d0bb056536e2b79b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 04:41:57 +0000 Subject: [PATCH 043/160] fix(guardrails): redact ``data["input"]`` for Responses-API mask paths MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Greptile P1: Aim's ``_anonymize_request`` and Lakera v2's mask-PII path both wrote redacted content only to ``data["messages"]``. The Responses API backend reads ``data["input"]``, so when a request arrived via ``/v1/responses`` with a plain string ``input`` the hook would update ``messages`` (which the backend ignores) and leave ``input`` carrying the original unredacted text. Net effect: anonymize/mask silently passed PII through to the LLM. Add ``apply_redacted_messages_back`` to ``_content_utils`` — it writes the redacted messages back to ``data["messages"]`` AND, when present, re-flattens the redacted content into ``data["input"]``. Aim and Lakera v2 now route their mask writeback through this helper. List ``input`` (multimodal) is still handled by the upstream block-on-multimodal guard. Adds unit tests for the helper and regression tests asserting ``data["input"]`` is redacted for both hooks on Responses-API string input. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/guardrails/_content_utils.py | 24 ++++++ .../guardrails/guardrail_hooks/aim/aim.py | 7 +- .../guardrail_hooks/lakera_ai_v2.py | 13 +++- .../proxy/guardrails/test_content_utils.py | 38 ++++++++++ .../guardrails/test_guardrail_coverage.py | 75 +++++++++++++++++++ 5 files changed, 154 insertions(+), 3 deletions(-) diff --git a/litellm/proxy/guardrails/_content_utils.py b/litellm/proxy/guardrails/_content_utils.py index 6c681c322f1..8fdd8b23cb2 100644 --- a/litellm/proxy/guardrails/_content_utils.py +++ b/litellm/proxy/guardrails/_content_utils.py @@ -143,6 +143,30 @@ def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int: return visited +def apply_redacted_messages_back( + data: Dict[str, Any], redacted_messages: List[Dict[str, Any]] +) -> None: + """Write redacted messages back to whichever field(s) the caller used. + + Mask/anonymize paths take a synthesised messages list (from + :func:`build_inspection_messages`), get a redacted version back from a + third-party guardrail, and need to rewrite the request body. Writing + only to ``data["messages"]`` leaves the Responses-API ``data["input"]`` + field untouched, so the unredacted text still reaches the LLM. + + This helper updates both fields when both are present. + """ + if "messages" in data: + data["messages"] = redacted_messages + if isinstance(data.get("input"), str): + text_parts: List[str] = [] + for msg in redacted_messages: + if not isinstance(msg, dict): + continue + text_parts.extend(_iter_text_parts_in_content(msg.get("content"))) + data["input"] = "\n".join(text_parts) + + def has_non_string_content(data: Dict[str, Any]) -> bool: """Return True if any inspected content is not a plain string. diff --git a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py index 749bd4acf2b..03a73f9fc9d 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py +++ b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py @@ -23,6 +23,7 @@ from litellm.llms.custom_httpx.http_handler import ( ) from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.guardrails._content_utils import ( + apply_redacted_messages_back, build_inspection_messages, has_non_string_content, ) @@ -156,13 +157,17 @@ class AimGuardrail(CustomGuardrail): "or rely on block-mode policies." ), ) - data["messages"] = [ + redacted_messages = [ { "role": message["role"], "content": message["content"], } for message in redacted_chat["all_redacted_messages"] ] + # Write back to ``messages`` AND ``input``. The Responses-API + # backend reads ``input``; writing only to ``messages`` would let + # unredacted text reach the LLM for ``/v1/responses`` calls. + apply_redacted_messages_back(data, redacted_messages) return data async def call_aim_guardrail_on_output( diff --git a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py index 4d6e6a302b5..c6af4d3c428 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py @@ -14,6 +14,7 @@ from litellm.llms.custom_httpx.http_handler import ( ) from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.guardrails._content_utils import ( + apply_redacted_messages_back, build_inspection_messages, has_non_string_content, ) @@ -251,11 +252,15 @@ class LakeraAIGuardrail(CustomGuardrail): self._is_only_pii_violation(lakera_guardrail_response) and not is_multimodal_input ): - data["messages"] = self._mask_pii_in_messages( + redacted_messages = self._mask_pii_in_messages( messages=new_messages, # type: ignore[arg-type] lakera_response=lakera_guardrail_response, masked_entity_count=masked_entity_count, ) + # Write back to ``messages`` AND ``input``. The Responses-API + # backend reads ``input``; writing only to ``messages`` + # would let unredacted PII reach the LLM for /v1/responses. + apply_redacted_messages_back(data, list(redacted_messages)) # type: ignore[arg-type] verbose_proxy_logger.debug( "Lakera AI: Masked PII in messages instead of blocking request" ) @@ -325,11 +330,15 @@ class LakeraAIGuardrail(CustomGuardrail): self._is_only_pii_violation(lakera_guardrail_response) and not is_multimodal_input ): - data["messages"] = self._mask_pii_in_messages( + redacted_messages = self._mask_pii_in_messages( messages=new_messages, # type: ignore[arg-type] lakera_response=lakera_guardrail_response, masked_entity_count=masked_entity_count, ) + # Write back to ``messages`` AND ``input``. The Responses-API + # backend reads ``input``; writing only to ``messages`` + # would let unredacted PII reach the LLM for /v1/responses. + apply_redacted_messages_back(data, list(redacted_messages)) # type: ignore[arg-type] verbose_proxy_logger.debug( "Lakera AI: Masked PII in messages instead of blocking request" ) diff --git a/tests/test_litellm/proxy/guardrails/test_content_utils.py b/tests/test_litellm/proxy/guardrails/test_content_utils.py index 23683abd1cc..099fca78a62 100644 --- a/tests/test_litellm/proxy/guardrails/test_content_utils.py +++ b/tests/test_litellm/proxy/guardrails/test_content_utils.py @@ -1,6 +1,7 @@ """Tests for the shared guardrail content extraction helpers.""" from litellm.proxy.guardrails._content_utils import ( + apply_redacted_messages_back, build_inspection_messages, has_non_string_content, iter_message_text, @@ -263,3 +264,40 @@ def test_has_non_string_content_empty_data(): assert has_non_string_content({}) is False assert has_non_string_content({"messages": []}) is False assert has_non_string_content({"input": ""}) is False + + +# ── apply_redacted_messages_back ────────────────────────────────────────────── + + +def test_apply_redacted_messages_back_chat_completion(): + data = {"messages": [{"role": "user", "content": "secret"}]} + apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}]) + assert data["messages"] == [{"role": "user", "content": "[REDACTED]"}] + assert "input" not in data + + +def test_apply_redacted_messages_back_responses_api_string_input(): + """A Responses-API request reads ``data["input"]``; writing only to + ``messages`` would let unredacted text reach the LLM.""" + data = {"input": "secret payload"} + apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}]) + assert data["input"] == "[REDACTED]" + + +def test_apply_redacted_messages_back_both_fields(): + """Defensive: when both fields are present, both are updated.""" + data = { + "messages": [{"role": "user", "content": "old"}], + "input": "old", + } + apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}]) + assert data["messages"] == [{"role": "user", "content": "[REDACTED]"}] + assert data["input"] == "[REDACTED]" + + +def test_apply_redacted_messages_back_skips_input_when_not_string(): + """List ``input`` (multimodal Responses-API) is left alone — the + multimodal-degrades-to-block guard runs upstream.""" + data = {"input": [{"type": "text", "text": "leak"}]} + apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}]) + assert data["input"] == [{"type": "text", "text": "leak"}] diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py index df321b80749..04bd57fa32a 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -161,6 +161,81 @@ async def test_lakera_v2_inspects_responses_api_input(user_api_key, monkeypatch) assert seen_messages == [[{"role": "user", "content": "responses-api content"}]] +@pytest.mark.asyncio +async def test_lakera_v2_responses_api_input_redacted_writeback( + user_api_key, monkeypatch +): + """Greptile P1: when input arrives via Responses-API ``data["input"]`` + (string) and Lakera flags PII, the redacted content must be written + back to ``data["input"]`` — the Responses-API backend reads from + ``input``, so writing only to ``messages`` would let unredacted PII + reach the LLM.""" + monkeypatch.setenv("LAKERA_API_KEY", "lk-test") + from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import ( + LakeraAIGuardrail, + ) + + guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="block") + + async def fake_call_v2_guard(messages, request_data, event_type): + return ({"flagged": True, "payload": []}, {"EMAIL": 1}) + + def fake_mask(messages, lakera_response, masked_entity_count): + return [{"role": "user", "content": "[REDACTED EMAIL]"}] + + with ( + patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard), + patch.object(guard, "_is_only_pii_violation", return_value=True), + patch.object(guard, "_mask_pii_in_messages", side_effect=fake_mask), + ): + data = {"input": "user@example.com leaked"} + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data=data, + call_type="responses", + ) + + assert data["input"] == "[REDACTED EMAIL]" + + +@pytest.mark.asyncio +async def test_aim_responses_api_input_anonymize_writeback(user_api_key, monkeypatch): + """Greptile P1: Aim's anonymize action must redact ``data["input"]`` + for Responses-API requests, not just ``data["messages"]``.""" + monkeypatch.setenv("AIM_API_KEY", "hs-aim-key") + from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail + + guard = AimGuardrail() + + aim_response_body = { + "required_action": {"action_type": "anonymize_action"}, + "redacted_chat": { + "all_redacted_messages": [ + {"role": "user", "content": "[REDACTED] anonymised"} + ] + }, + } + + async def capture(url, headers, json): + return Response( + status_code=200, + json=aim_response_body, + request=Request("POST", "https://api.aim.security/fw/v1/analyze"), + ) + + with patch.object(guard.async_handler, "post", side_effect=capture): + data = {"input": "user@example.com leaked"} + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data=data, + call_type="responses", + ) + + assert data["input"] == "[REDACTED] anonymised" + + @pytest.mark.asyncio async def test_lakera_v2_multimodal_pii_degrades_to_block(user_api_key, monkeypatch): """Mask-in-place uses Lakera offsets and cannot preserve image/audio From 41eeaaf6309ba7e983d35705ab04e076085efccc Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 04:58:00 +0000 Subject: [PATCH 044/160] fix(guardrails): handle Aim multi-choice gather exceptions cleanly Greptile P2: ``asyncio.gather`` without ``return_exceptions=True`` lets the first failing call propagate immediately, leaving the other in-flight inspections running until they complete on their own. Pass ``return_exceptions=True`` so every inspection finishes, then re-raise the first exception encountered while iterating results. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/guardrails/guardrail_hooks/aim/aim.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py index 03a73f9fc9d..5b5f91195e7 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py +++ b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py @@ -266,6 +266,9 @@ class AimGuardrail(CustomGuardrail): choices_to_inspect = [c for c in response.choices if isinstance(c, Choices)] if not choices_to_inspect: return response + # ``return_exceptions=True`` lets every inspection finish even if + # one fails — without it, the first exception would propagate and + # leave the remaining tasks running in the background. results = await asyncio.gather( *( self.call_aim_guardrail_on_output( @@ -275,9 +278,12 @@ class AimGuardrail(CustomGuardrail): key_alias=user_api_key_dict.key_alias, ) for choice in choices_to_inspect - ) + ), + return_exceptions=True, ) for choice, aim_output_guardrail_result in zip(choices_to_inspect, results): + if isinstance(aim_output_guardrail_result, BaseException): + raise aim_output_guardrail_result if aim_output_guardrail_result and aim_output_guardrail_result.get( "detection_message" ): From 7bda5c7cac56a206234016ba7f01317253b53ce6 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 10:59:49 -0700 Subject: [PATCH 045/160] chore(caching): isolate semantic cache entries --- litellm/caching/qdrant_semantic_cache.py | 151 +++++++------ litellm/caching/redis_semantic_cache.py | 116 ++++++++-- .../caching/test_qdrant_semantic_cache.py | 113 ++++++++-- .../caching/test_redis_semantic_cache.py | 207 +++++++++++++++++- 4 files changed, 468 insertions(+), 119 deletions(-) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index 5e3713e5a15..b856423cbb3 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -16,12 +16,17 @@ from typing import Any, cast import litellm from litellm._logging import print_verbose from litellm.constants import QDRANT_SCALAR_QUANTILE, QDRANT_VECTOR_SIZE +from litellm.litellm_core_utils.prompt_templates.common_utils import ( + get_str_from_messages, +) from litellm.types.utils import EmbeddingResponse from .base_cache import BaseCache class QdrantSemanticCache(BaseCache): + CACHE_KEY_FIELD_NAME = "litellm_cache_key" + def __init__( # noqa: PLR0915 self, qdrant_api_base=None, @@ -170,15 +175,66 @@ class QdrantSemanticCache(BaseCache): cached_response = ast.literal_eval(cached_response) return cached_response + def _get_qdrant_cache_key_filter(self, key: str) -> dict: + return { + "must": [ + { + "key": self.CACHE_KEY_FIELD_NAME, + "match": {"value": str(key)}, + } + ] + } + + def _payload_matches_cache_key(self, payload: dict, key: str) -> bool: + cached_key = payload.get(self.CACHE_KEY_FIELD_NAME) + return cached_key is not None and str(cached_key) == str(key) + + async def _get_async_embedding(self, prompt: str, **kwargs) -> Any: + llm_model_list = None + llm_router = None + + try: + from litellm.proxy.proxy_server import ( + llm_model_list as proxy_llm_model_list, + llm_router as proxy_llm_router, + ) + + llm_model_list = proxy_llm_model_list + llm_router = proxy_llm_router + except ImportError: + pass + + router_model_names = ( + [m["model_name"] for m in llm_model_list] + if llm_model_list is not None + else [] + ) + if llm_router is not None and self.embedding_model in router_model_names: + user_api_key = kwargs.get("metadata", {}).get("user_api_key", "") + return await llm_router.aembedding( + model=self.embedding_model, + input=prompt, + cache={"no-store": True, "no-cache": True}, + metadata={ + "user_api_key": user_api_key, + "semantic-cache-embedding": True, + "trace_id": kwargs.get("metadata", {}).get("trace_id", None), + }, + ) + + return await litellm.aembedding( + model=self.embedding_model, + input=prompt, + cache={"no-store": True, "no-cache": True}, + ) + def set_cache(self, key, value, **kwargs): print_verbose(f"qdrant semantic-cache set_cache, kwargs: {kwargs}") from litellm._uuid import uuid # get the prompt messages = kwargs["messages"] - prompt = "" - for message in messages: - prompt += message["content"] + prompt = get_str_from_messages(messages) # create an embedding for prompt embedding_response = cast( @@ -202,6 +258,7 @@ class QdrantSemanticCache(BaseCache): "id": str(uuid.uuid4()), "vector": embedding, "payload": { + self.CACHE_KEY_FIELD_NAME: str(key), "text": prompt, "response": value, }, @@ -220,9 +277,7 @@ class QdrantSemanticCache(BaseCache): # get the messages messages = kwargs["messages"] - prompt = "" - for message in messages: - prompt += message["content"] + prompt = get_str_from_messages(messages) # convert to embedding embedding_response = cast( @@ -248,6 +303,7 @@ class QdrantSemanticCache(BaseCache): }, "limit": 1, "with_payload": True, + "filter": self._get_qdrant_cache_key_filter(key), } search_response = self.sync_client.post( @@ -264,7 +320,12 @@ class QdrantSemanticCache(BaseCache): return None similarity = results[0]["score"] - cached_prompt = results[0]["payload"]["text"] + payload = results[0]["payload"] + if not self._payload_matches_cache_key(payload=payload, key=key): + print_verbose("Qdrant semantic-cache hit did not match cache key scope") + return None + + cached_prompt = payload["text"] # check similarity, if more than self.similarity_threshold, return results print_verbose( @@ -272,7 +333,7 @@ class QdrantSemanticCache(BaseCache): ) if similarity >= self.similarity_threshold: # cache hit ! - cached_value = results[0]["payload"]["response"] + cached_value = payload["response"] print_verbose( f"got a cache hit, similarity: {similarity}, Current prompt: {prompt}, cached_prompt: {cached_prompt}" ) @@ -285,40 +346,12 @@ class QdrantSemanticCache(BaseCache): async def async_set_cache(self, key, value, **kwargs): from litellm._uuid import uuid - from litellm.proxy.proxy_server import llm_model_list, llm_router - print_verbose(f"async qdrant semantic-cache set_cache, kwargs: {kwargs}") # get the prompt messages = kwargs["messages"] - prompt = "" - for message in messages: - prompt += message["content"] - # create an embedding for prompt - router_model_names = ( - [m["model_name"] for m in llm_model_list] - if llm_model_list is not None - else [] - ) - if llm_router is not None and self.embedding_model in router_model_names: - user_api_key = kwargs.get("metadata", {}).get("user_api_key", "") - embedding_response = await llm_router.aembedding( - model=self.embedding_model, - input=prompt, - cache={"no-store": True, "no-cache": True}, - metadata={ - "user_api_key": user_api_key, - "semantic-cache-embedding": True, - "trace_id": kwargs.get("metadata", {}).get("trace_id", None), - }, - ) - else: - # convert to embedding - embedding_response = await litellm.aembedding( - model=self.embedding_model, - input=prompt, - cache={"no-store": True, "no-cache": True}, - ) + prompt = get_str_from_messages(messages) + embedding_response = await self._get_async_embedding(prompt, **kwargs) # get the embedding embedding = embedding_response["data"][0]["embedding"] @@ -332,6 +365,7 @@ class QdrantSemanticCache(BaseCache): "id": str(uuid.uuid4()), "vector": embedding, "payload": { + self.CACHE_KEY_FIELD_NAME: str(key), "text": prompt, "response": value, }, @@ -348,38 +382,12 @@ class QdrantSemanticCache(BaseCache): async def async_get_cache(self, key, **kwargs): print_verbose(f"async qdrant semantic-cache get_cache, kwargs: {kwargs}") - from litellm.proxy.proxy_server import llm_model_list, llm_router # get the messages messages = kwargs["messages"] - prompt = "" - for message in messages: - prompt += message["content"] + prompt = get_str_from_messages(messages) - router_model_names = ( - [m["model_name"] for m in llm_model_list] - if llm_model_list is not None - else [] - ) - if llm_router is not None and self.embedding_model in router_model_names: - user_api_key = kwargs.get("metadata", {}).get("user_api_key", "") - embedding_response = await llm_router.aembedding( - model=self.embedding_model, - input=prompt, - cache={"no-store": True, "no-cache": True}, - metadata={ - "user_api_key": user_api_key, - "semantic-cache-embedding": True, - "trace_id": kwargs.get("metadata", {}).get("trace_id", None), - }, - ) - else: - # convert to embedding - embedding_response = await litellm.aembedding( - model=self.embedding_model, - input=prompt, - cache={"no-store": True, "no-cache": True}, - ) + embedding_response = await self._get_async_embedding(prompt, **kwargs) # get the embedding embedding = embedding_response["data"][0]["embedding"] @@ -395,6 +403,7 @@ class QdrantSemanticCache(BaseCache): }, "limit": 1, "with_payload": True, + "filter": self._get_qdrant_cache_key_filter(key), } search_response = await self.async_client.post( @@ -414,7 +423,13 @@ class QdrantSemanticCache(BaseCache): return None similarity = results[0]["score"] - cached_prompt = results[0]["payload"]["text"] + payload = results[0]["payload"] + if not self._payload_matches_cache_key(payload=payload, key=key): + print_verbose("Qdrant semantic-cache hit did not match cache key scope") + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 + return None + + cached_prompt = payload["text"] # check similarity, if more than self.similarity_threshold, return results print_verbose( @@ -426,7 +441,7 @@ class QdrantSemanticCache(BaseCache): if similarity >= self.similarity_threshold: # cache hit ! - cached_value = results[0]["payload"]["response"] + cached_value = payload["response"] print_verbose( f"got a cache hit, similarity: {similarity}, Current prompt: {prompt}, cached_prompt: {cached_prompt}" ) diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py index c76f27377d8..06e9b4d0fa9 100644 --- a/litellm/caching/redis_semantic_cache.py +++ b/litellm/caching/redis_semantic_cache.py @@ -35,6 +35,11 @@ class RedisSemanticCache(BaseCache): """ DEFAULT_REDIS_INDEX_NAME: str = "litellm_semantic_cache_index" + CACHE_KEY_FIELD_NAME: str = "litellm_cache_key" + CACHE_KEY_FILTERABLE_FIELD: Dict[str, str] = { + "name": CACHE_KEY_FIELD_NAME, + "type": "tag", + } def __init__( self, @@ -66,8 +71,8 @@ class RedisSemanticCache(BaseCache): Exception: If similarity_threshold is not provided or required Redis connection information is missing """ - from redisvl.extensions.llmcache import SemanticCache - from redisvl.utils.vectorize import CustomTextVectorizer + from redisvl.extensions.llmcache import SemanticCache # type: ignore[import-not-found, import-untyped] + from redisvl.utils.vectorize import CustomTextVectorizer # type: ignore[import-not-found, import-untyped] if index_name is None: index_name = self.DEFAULT_REDIS_INDEX_NAME @@ -109,14 +114,61 @@ class RedisSemanticCache(BaseCache): # Initialize the Redis vectorizer and cache cache_vectorizer = CustomTextVectorizer(self._get_embedding) - self.llmcache = SemanticCache( - name=index_name, + self.llmcache = self._init_semantic_cache( + semantic_cache_cls=SemanticCache, + index_name=index_name, redis_url=redis_url, - vectorizer=cache_vectorizer, - distance_threshold=self.distance_threshold, - overwrite=False, + cache_vectorizer=cache_vectorizer, ) + def _init_semantic_cache( + self, + semantic_cache_cls: Any, + index_name: str, + redis_url: str, + cache_vectorizer: Any, + ) -> Any: + try: + return semantic_cache_cls( + name=index_name, + redis_url=redis_url, + vectorizer=cache_vectorizer, + distance_threshold=self.distance_threshold, + filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + overwrite=False, + ) + except ValueError as exc: + if "schema does not match" not in str(exc): + raise + + isolated_index_name = f"{index_name}_isolated" + print_verbose( + "Redis semantic-cache existing index schema is not isolated; " + f"using isolated index - {isolated_index_name}" + ) + return semantic_cache_cls( + name=isolated_index_name, + redis_url=redis_url, + vectorizer=cache_vectorizer, + distance_threshold=self.distance_threshold, + filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + overwrite=False, + ) + + def _get_cache_filters(self, key: str) -> Dict[str, str]: + return {self.CACHE_KEY_FIELD_NAME: str(key)} + + def _get_cache_key_filter_expression(self, key: str) -> Any: + from redisvl.query.filter import Tag # type: ignore[import-not-found, import-untyped] + + return Tag(self.CACHE_KEY_FIELD_NAME) == str(key) + + def _cache_hit_matches_key(self, cache_hit: Dict[str, Any], key: str) -> bool: + cached_key = cache_hit.get(self.CACHE_KEY_FIELD_NAME) + if isinstance(cached_key, bytes): + cached_key = cached_key.decode("utf-8") + return cached_key is not None and str(cached_key) == str(key) + def _get_ttl(self, **kwargs) -> Optional[int]: """ Get the TTL (time-to-live) value for cache entries. @@ -188,7 +240,7 @@ class RedisSemanticCache(BaseCache): Store a value in the semantic cache. Args: - key: The cache key (not directly used in semantic caching) + key: The cache key used to isolate semantic cache entries value: The response value to cache **kwargs: Additional arguments including 'messages' for the prompt and optional 'ttl' for time-to-live @@ -206,12 +258,15 @@ class RedisSemanticCache(BaseCache): prompt = get_str_from_messages(messages) value_str = str(value) + store_kwargs: Dict[str, Any] = {"filters": self._get_cache_filters(key)} + # Get TTL and store in Redis semantic cache ttl = self._get_ttl(**kwargs) if ttl is not None: - self.llmcache.store(prompt, value_str, ttl=int(ttl)) + store_kwargs["ttl"] = int(ttl) + self.llmcache.store(prompt, value_str, **store_kwargs) else: - self.llmcache.store(prompt, value_str) + self.llmcache.store(prompt, value_str, **store_kwargs) except Exception as e: print_verbose( f"Error setting {value_str or value} in the Redis semantic cache: {str(e)}" @@ -222,7 +277,7 @@ class RedisSemanticCache(BaseCache): Retrieve a semantically similar cached response. Args: - key: The cache key (not directly used in semantic caching) + key: The cache key used to isolate semantic cache entries **kwargs: Additional arguments including 'messages' for the prompt Returns: @@ -238,8 +293,12 @@ class RedisSemanticCache(BaseCache): return None prompt = get_str_from_messages(messages) - # Check the cache for semantically similar prompts - results = self.llmcache.check(prompt=prompt) + # Check the cache for semantically similar prompts in this exact + # LiteLLM cache-key scope. + results = self.llmcache.check( + prompt=prompt, + filter_expression=self._get_cache_key_filter_expression(key), + ) # Return None if no similar prompts found if not results: @@ -247,6 +306,9 @@ class RedisSemanticCache(BaseCache): # Process the best matching result cache_hit = results[0] + if not self._cache_hit_matches_key(cache_hit=cache_hit, key=key): + print_verbose("Redis semantic-cache hit did not match cache key scope") + return None vector_distance = float(cache_hit["vector_distance"]) # Convert vector distance back to similarity score @@ -321,7 +383,7 @@ class RedisSemanticCache(BaseCache): Asynchronously store a value in the semantic cache. Args: - key: The cache key (not directly used in semantic caching) + key: The cache key used to isolate semantic cache entries value: The response value to cache **kwargs: Additional arguments including 'messages' for the prompt and optional 'ttl' for time-to-live @@ -341,20 +403,25 @@ class RedisSemanticCache(BaseCache): # Generate embedding for the value (response) to cache prompt_embedding = await self._get_async_embedding(prompt, **kwargs) + store_kwargs: Dict[str, Any] = { + "vector": prompt_embedding, + "filters": self._get_cache_filters(key), + } + # Get TTL and store in Redis semantic cache ttl = self._get_ttl(**kwargs) if ttl is not None: + store_kwargs["ttl"] = ttl await self.llmcache.astore( prompt, value_str, - vector=prompt_embedding, # Pass through custom embedding - ttl=ttl, + **store_kwargs, ) else: await self.llmcache.astore( prompt, value_str, - vector=prompt_embedding, # Pass through custom embedding + **store_kwargs, ) except Exception as e: print_verbose(f"Error in async_set_cache: {str(e)}") @@ -364,7 +431,7 @@ class RedisSemanticCache(BaseCache): Asynchronously retrieve a semantically similar cached response. Args: - key: The cache key (not directly used in semantic caching) + key: The cache key used to isolate semantic cache entries **kwargs: Additional arguments including 'messages' for the prompt Returns: @@ -385,8 +452,13 @@ class RedisSemanticCache(BaseCache): # Generate embedding for the prompt prompt_embedding = await self._get_async_embedding(prompt, **kwargs) - # Check the cache for semantically similar prompts - results = await self.llmcache.acheck(prompt=prompt, vector=prompt_embedding) + # Check the cache for semantically similar prompts in this exact + # LiteLLM cache-key scope. + results = await self.llmcache.acheck( + prompt=prompt, + vector=prompt_embedding, + filter_expression=self._get_cache_key_filter_expression(key), + ) # handle results / cache hit if not results: @@ -396,6 +468,10 @@ class RedisSemanticCache(BaseCache): return None cache_hit = results[0] + if not self._cache_hit_matches_key(cache_hit=cache_hit, key=key): + print_verbose("Redis semantic-cache hit did not match cache key scope") + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 + return None vector_distance = float(cache_hit["vector_distance"]) # Convert vector distance back to similarity diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index 13dc4b5812c..f357d97341f 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -19,9 +19,7 @@ def test_qdrant_semantic_cache_initialization(monkeypatch): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection exists check @@ -67,9 +65,7 @@ def test_qdrant_semantic_cache_get_cache_hit(): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection exists check @@ -98,6 +94,7 @@ def test_qdrant_semantic_cache_get_cache_hit(): "result": [ { "payload": { + QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "test_key", "text": "What is the capital of France?", # Original prompt "response": '{"id": "test-123", "choices": [{"message": {"content": "Paris is the capital of France."}}]}', }, @@ -127,6 +124,67 @@ def test_qdrant_semantic_cache_get_cache_hit(): # Verify search was called qdrant_cache.sync_client.post.assert_called() + assert qdrant_cache.sync_client.post.call_args.kwargs["json"]["filter"] == { + "must": [ + { + "key": QdrantSemanticCache.CACHE_KEY_FIELD_NAME, + "match": {"value": "test_key"}, + } + ] + } + + +def test_qdrant_semantic_cache_rejects_unscoped_cache_hit(): + """ + Test QDRANT semantic cache rejects old or unscoped cache hits. + """ + with ( + patch( + "litellm.llms.custom_httpx.http_handler._get_httpx_client" + ) as mock_sync_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), + ): + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"result": {"exists": True}} + + mock_sync_client_instance = MagicMock() + mock_sync_client_instance.get.return_value = mock_response + mock_sync_client.return_value = mock_sync_client_instance + + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache = QdrantSemanticCache( + collection_name="test_collection", + qdrant_api_base="http://test.qdrant.local", + qdrant_api_key="test_key", + similarity_threshold=0.8, + ) + + mock_search_response = MagicMock() + mock_search_response.status_code = 200 + mock_search_response.json.return_value = { + "result": [ + { + "payload": { + "text": "What is the capital of France?", + "response": '{"id": "test-123"}', + }, + "score": 0.9, + } + ] + } + qdrant_cache.sync_client.post = MagicMock(return_value=mock_search_response) + + with patch( + "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} + ): + result = qdrant_cache.get_cache( + key="test_key", messages=[{"content": "What is the capital of France?"}] + ) + + assert result is None def test_qdrant_semantic_cache_get_cache_miss(): @@ -138,9 +196,7 @@ def test_qdrant_semantic_cache_get_cache_miss(): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection exists check @@ -230,6 +286,7 @@ async def test_qdrant_semantic_cache_async_get_cache_hit(): "result": [ { "payload": { + QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "test_key", "text": "What is the capital of Spain?", # Original prompt "response": '{"id": "test-456", "choices": [{"message": {"content": "Madrid is the capital of Spain."}}]}', }, @@ -262,6 +319,16 @@ async def test_qdrant_semantic_cache_async_get_cache_hit(): # Verify async search was called qdrant_cache.async_client.post.assert_called() + assert qdrant_cache.async_client.post.call_args.kwargs["json"][ + "filter" + ] == { + "must": [ + { + "key": QdrantSemanticCache.CACHE_KEY_FIELD_NAME, + "match": {"value": "test_key"}, + } + ] + } @pytest.mark.asyncio @@ -336,9 +403,7 @@ def test_qdrant_semantic_cache_set_cache(): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection exists check @@ -384,6 +449,12 @@ def test_qdrant_semantic_cache_set_cache(): # Verify upsert was called qdrant_cache.sync_client.put.assert_called() + upsert_payload = qdrant_cache.sync_client.put.call_args.kwargs["json"][ + "points" + ][0]["payload"] + assert ( + upsert_payload[QdrantSemanticCache.CACHE_KEY_FIELD_NAME] == "test_key" + ) @pytest.mark.asyncio @@ -450,6 +521,12 @@ async def test_qdrant_semantic_cache_async_set_cache(): # Verify async upsert was called qdrant_cache.async_client.put.assert_called() + upsert_payload = qdrant_cache.async_client.put.call_args.kwargs["json"][ + "points" + ][0]["payload"] + assert ( + upsert_payload[QdrantSemanticCache.CACHE_KEY_FIELD_NAME] == "test_key" + ) def test_qdrant_semantic_cache_custom_vector_size(): @@ -462,9 +539,7 @@ def test_qdrant_semantic_cache_custom_vector_size(): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection does NOT exist (so it will be created) @@ -521,9 +596,7 @@ def test_qdrant_semantic_cache_default_vector_size(): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection exists check @@ -559,9 +632,7 @@ def test_qdrant_semantic_cache_large_vector_size(): patch( "litellm.llms.custom_httpx.http_handler._get_httpx_client" ) as mock_sync_client, - patch( - "litellm.llms.custom_httpx.http_handler.get_async_httpx_client" - ) as mock_async_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), ): # Mock the collection does NOT exist (so it will be created) diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index f9946e266fe..9f2f390f4e2 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -72,13 +72,22 @@ def test_redis_semantic_cache_get_cache(monkeypatch): "prompt": "What is the capital of France?", "response": '{"content": "Paris is the capital of France."}', "vector_distance": 0.1, # Distance of 0.1 means similarity of 0.9 + RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key", } ] redis_semantic_cache.llmcache.check = MagicMock(return_value=mock_result) # Mock the embedding function - with patch( - "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} + with ( + patch( + "litellm.embedding", + return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]}, + ), + patch.object( + redis_semantic_cache, + "_get_cache_key_filter_expression", + return_value="cache-key-filter", + ), ): # Test get_cache with a message result = redis_semantic_cache.get_cache( @@ -89,7 +98,131 @@ def test_redis_semantic_cache_get_cache(monkeypatch): assert result == {"content": "Paris is the capital of France."} # Verify llmcache.check was called - redis_semantic_cache.llmcache.check.assert_called_once() + redis_semantic_cache.llmcache.check.assert_called_once_with( + prompt="What is the capital of France?", + filter_expression="cache-key-filter", + ) + + +def test_redis_semantic_cache_rejects_unscoped_cache_hit(monkeypatch): + semantic_cache_mock = MagicMock() + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8) + redis_semantic_cache.llmcache.check = MagicMock( + return_value=[ + { + "prompt": "What is the capital of France?", + "response": '{"content": "Paris"}', + "vector_distance": 0.1, + } + ] + ) + + with patch.object( + redis_semantic_cache, + "_get_cache_key_filter_expression", + return_value="cache-key-filter", + ): + result = redis_semantic_cache.get_cache( + key="test_key", + messages=[{"content": "What is the capital of France?"}], + ) + + assert result is None + + +def test_redis_semantic_cache_set_cache_stores_cache_key_filter(monkeypatch): + semantic_cache_mock = MagicMock() + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8) + redis_semantic_cache.llmcache.store = MagicMock() + + redis_semantic_cache.set_cache( + key="test_key", + value={"content": "Paris"}, + messages=[{"content": "What is the capital of France?"}], + ttl=60, + ) + + redis_semantic_cache.llmcache.store.assert_called_once_with( + "What is the capital of France?", + "{'content': 'Paris'}", + filters={RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key"}, + ttl=60, + ) + + +def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch): + fallback_cache_mock = MagicMock() + semantic_cache_mock = MagicMock( + side_effect=[ + ValueError("Existing index schema does not match"), + fallback_cache_mock, + ] + ) + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + redis_semantic_cache = RedisSemanticCache( + similarity_threshold=0.8, + index_name="existing_index", + ) + + assert redis_semantic_cache.llmcache is fallback_cache_mock + assert semantic_cache_mock.call_args_list[0].kwargs["name"] == "existing_index" + assert ( + semantic_cache_mock.call_args_list[1].kwargs["name"] + == "existing_index_isolated" + ) + assert semantic_cache_mock.call_args_list[1].kwargs["filterable_fields"] == [ + RedisSemanticCache.CACHE_KEY_FILTERABLE_FIELD + ] @pytest.mark.asyncio @@ -123,6 +256,7 @@ async def test_redis_semantic_cache_async_get_cache(monkeypatch): "prompt": "What is the capital of France?", "response": '{"content": "Paris is the capital of France."}', "vector_distance": 0.1, # Distance of 0.1 means similarity of 0.9 + RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key", } ] @@ -131,16 +265,69 @@ async def test_redis_semantic_cache_async_get_cache(monkeypatch): return_value=[0.1, 0.2, 0.3] ) - # Test async_get_cache with a message - result = await redis_semantic_cache.async_get_cache( - key="test_key", - messages=[{"content": "What is the capital of France?"}], - metadata={}, - ) + with patch.object( + redis_semantic_cache, + "_get_cache_key_filter_expression", + return_value="cache-key-filter", + ): + # Test async_get_cache with a message + result = await redis_semantic_cache.async_get_cache( + key="test_key", + messages=[{"content": "What is the capital of France?"}], + metadata={}, + ) # Verify result is properly parsed assert result == {"content": "Paris is the capital of France."} # Verify methods were called redis_semantic_cache._get_async_embedding.assert_called_once() - redis_semantic_cache.llmcache.acheck.assert_called_once() + redis_semantic_cache.llmcache.acheck.assert_called_once_with( + prompt="What is the capital of France?", + vector=[0.1, 0.2, 0.3], + filter_expression="cache-key-filter", + ) + + +@pytest.mark.asyncio +async def test_redis_semantic_cache_async_set_cache_stores_cache_key_filter( + monkeypatch, +): + semantic_cache_mock = MagicMock() + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8) + redis_semantic_cache.llmcache.astore = AsyncMock() + redis_semantic_cache._get_async_embedding = AsyncMock( + return_value=[0.1, 0.2, 0.3] + ) + + await redis_semantic_cache.async_set_cache( + key="test_key", + value={"content": "Paris"}, + messages=[{"content": "What is the capital of France?"}], + ttl=60, + ) + + redis_semantic_cache.llmcache.astore.assert_called_once_with( + "What is the capital of France?", + "{'content': 'Paris'}", + vector=[0.1, 0.2, 0.3], + filters={RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key"}, + ttl=60, + ) From 9aa3dfc816f5472dc9ef28854c6198109b1ada69 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 01:10:44 -0700 Subject: [PATCH 046/160] chore(proxy): stabilize lazy openapi snapshot --- litellm/proxy/_lazy_openapi_snapshot.json | 28 ++++++------- litellm/proxy/_lazy_openapi_snapshot.py | 40 ++++++++++++++++++- .../proxy/test_lazy_openapi_snapshot.py | 35 ++++++++++++++++ 3 files changed, 87 insertions(+), 16 deletions(-) create mode 100644 tests/test_litellm/proxy/test_lazy_openapi_snapshot.py diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index 8331f748c6e..46a514c0870 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -3572,7 +3572,7 @@ "/anthropic/{endpoint}": { "delete": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__delete", "parameters": [ { "in": "path", @@ -3616,7 +3616,7 @@ }, "get": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__get", "parameters": [ { "in": "path", @@ -3660,7 +3660,7 @@ }, "patch": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__patch", "parameters": [ { "in": "path", @@ -3704,7 +3704,7 @@ }, "post": { "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)", - "operationId": "anthropic_proxy_route_anthropic__endpoint__put", + "operationId": "anthropic_proxy_route_anthropic__endpoint__post", "parameters": [ { "in": "path", @@ -13260,7 +13260,7 @@ "/langfuse/{endpoint}": { "delete": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__delete", "parameters": [ { "in": "path", @@ -13299,7 +13299,7 @@ }, "get": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__get", "parameters": [ { "in": "path", @@ -13338,7 +13338,7 @@ }, "patch": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__patch", "parameters": [ { "in": "path", @@ -13377,7 +13377,7 @@ }, "post": { "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)", - "operationId": "langfuse_proxy_route_langfuse__endpoint__put", + "operationId": "langfuse_proxy_route_langfuse__endpoint__post", "parameters": [ { "in": "path", @@ -26883,7 +26883,7 @@ "/toolset/{toolset_name}/mcp": { "delete": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete", "parameters": [ { "in": "path", @@ -26922,7 +26922,7 @@ }, "get": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_get", "parameters": [ { "in": "path", @@ -26961,7 +26961,7 @@ }, "head": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head", "parameters": [ { "in": "path", @@ -27000,7 +27000,7 @@ }, "options": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_options", "parameters": [ { "in": "path", @@ -27039,7 +27039,7 @@ }, "patch": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_patch", "parameters": [ { "in": "path", @@ -27078,7 +27078,7 @@ }, "post": { "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset//mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.", - "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put", + "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_post", "parameters": [ { "in": "path", diff --git a/litellm/proxy/_lazy_openapi_snapshot.py b/litellm/proxy/_lazy_openapi_snapshot.py index 315f6a9742a..309a0276aac 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.py +++ b/litellm/proxy/_lazy_openapi_snapshot.py @@ -13,6 +13,7 @@ from pathlib import Path from typing import Dict, Optional SNAPSHOT_FILE = Path(__file__).parent / "_lazy_openapi_snapshot.json" +HTTP_METHODS = {"delete", "get", "head", "options", "patch", "post", "put"} def load_snapshot() -> Optional[Dict[str, Dict]]: @@ -25,6 +26,39 @@ def load_snapshot() -> Optional[Dict[str, Dict]]: return None +def _normalize_operation_ids(paths: Dict[str, Dict]) -> None: + """Make FastAPI-generated operation IDs stable for multi-method routes. + + FastAPI derives the default operation ID suffix from the first item in the + route's methods set. For routes registered with several HTTP methods, that + set iteration order can vary between processes, which makes the snapshot + drift even when no routes changed. + """ + for path_ops in paths.values(): + if not isinstance(path_ops, dict): + continue + + methods = {method for method in path_ops if method in HTTP_METHODS} + if not methods: + continue + + for method, operation in path_ops.items(): + if method not in HTTP_METHODS or not isinstance(operation, dict): + continue + + operation_id = operation.get("operationId") + if not isinstance(operation_id, str): + continue + + for suffix in methods: + suffix_token = f"_{suffix}" + if operation_id.endswith(suffix_token): + operation["operationId"] = ( + operation_id[: -len(suffix_token)] + f"_{method}" + ) + break + + def generate_snapshot() -> Dict[str, Dict]: import importlib @@ -52,13 +86,15 @@ def generate_snapshot() -> Dict[str, Dict]: if not feat_routes: continue full = get_openapi(title=app.title, version=app.version, routes=feat_routes) + paths = full.get("paths", {}) + _normalize_operation_ids(paths) # Group all of a feature's routes under one tag. - for path_ops in full.get("paths", {}).values(): + for path_ops in paths.values(): for op in path_ops.values(): if isinstance(op, dict): op["tags"] = [feat.name] fragments[feat.name] = { - "paths": full.get("paths", {}), + "paths": paths, "components": {"schemas": full.get("components", {}).get("schemas", {})}, } return fragments diff --git a/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py b/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py new file mode 100644 index 00000000000..8bc39c93eeb --- /dev/null +++ b/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py @@ -0,0 +1,35 @@ +from litellm.proxy._lazy_openapi_snapshot import _normalize_operation_ids + + +def test_normalize_operation_ids_uses_each_http_method(): + paths = { + "/proxy/{endpoint}": { + "delete": {"operationId": "proxy_route_proxy__endpoint__put"}, + "get": {"operationId": "proxy_route_proxy__endpoint__put"}, + "post": {"operationId": "proxy_route_proxy__endpoint__put"}, + "put": {"operationId": "proxy_route_proxy__endpoint__put"}, + } + } + + _normalize_operation_ids(paths) + + operations = paths["/proxy/{endpoint}"] + assert operations["delete"]["operationId"] == "proxy_route_proxy__endpoint__delete" + assert operations["get"]["operationId"] == "proxy_route_proxy__endpoint__get" + assert operations["post"]["operationId"] == "proxy_route_proxy__endpoint__post" + assert operations["put"]["operationId"] == "proxy_route_proxy__endpoint__put" + + +def test_normalize_operation_ids_preserves_custom_ids(): + paths = { + "/proxy/{endpoint}": { + "get": {"operationId": "custom_operation"}, + "post": {"operationId": "custom_operation"}, + } + } + + _normalize_operation_ids(paths) + + operations = paths["/proxy/{endpoint}"] + assert operations["get"]["operationId"] == "custom_operation" + assert operations["post"]["operationId"] == "custom_operation" From ae9b63c468bcca396ec0b1e82a93df0fae86e065 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 11:15:52 -0700 Subject: [PATCH 047/160] chore(caching): index qdrant semantic cache scope --- litellm/caching/qdrant_semantic_cache.py | 26 ++++++++++++++ .../caching/test_qdrant_semantic_cache.py | 36 ++++++++++++++++--- 2 files changed, 57 insertions(+), 5 deletions(-) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index b856423cbb3..e6e8e255228 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -120,6 +120,7 @@ class QdrantSemanticCache(BaseCache): print_verbose( f"Collection already exists.\nCollection details:{self.collection_info}" ) + self._ensure_cache_key_payload_index() else: if quantization_config is None or quantization_config == "binary": quantization_params = { @@ -161,6 +162,7 @@ class QdrantSemanticCache(BaseCache): print_verbose( f"New collection created.\nCollection details:{self.collection_info}" ) + self._ensure_cache_key_payload_index() else: raise Exception("Error while creating new collection") @@ -185,7 +187,31 @@ class QdrantSemanticCache(BaseCache): ] } + def _ensure_cache_key_payload_index(self) -> None: + try: + response = self.sync_client.put( + url=f"{self.qdrant_api_base}/collections/{self.collection_name}/index", + headers=self.headers, + json={ + "field_name": self.CACHE_KEY_FIELD_NAME, + "field_schema": "keyword", + }, + ) + if response.status_code not in (200, 201): + print_verbose( + "Qdrant semantic-cache could not create cache-key payload index: " + f"{response.text}" + ) + except Exception as exc: + print_verbose( + "Qdrant semantic-cache could not create cache-key payload index: " + f"{str(exc)}" + ) + def _payload_matches_cache_key(self, payload: dict, key: str) -> bool: + # Legacy Qdrant semantic-cache points stored only prompt text and + # response. They cannot be reassigned to the generated LiteLLM cache key + # without risking cross-scope hits, so they must be treated as misses. cached_key = payload.get(self.CACHE_KEY_FIELD_NAME) return cached_key is not None and str(cached_key) == str(key) diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index f357d97341f..733cf47c899 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -29,6 +29,9 @@ def test_qdrant_semantic_cache_initialization(monkeypatch): mock_sync_client_instance = MagicMock() mock_sync_client_instance.get.return_value = mock_response + mock_index_response = MagicMock() + mock_index_response.status_code = 200 + mock_sync_client_instance.put.return_value = mock_index_response mock_sync_client.return_value = mock_sync_client_instance from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache @@ -46,6 +49,17 @@ def test_qdrant_semantic_cache_initialization(monkeypatch): assert qdrant_cache.qdrant_api_base == "http://test.qdrant.local" assert qdrant_cache.qdrant_api_key == "test_key" assert qdrant_cache.similarity_threshold == 0.8 + mock_sync_client_instance.put.assert_called_once_with( + url="http://test.qdrant.local/collections/test_collection/index", + headers={ + "Content-Type": "application/json", + "api-key": "test_key", + }, + json={ + "field_name": QdrantSemanticCache.CACHE_KEY_FIELD_NAME, + "field_schema": "keyword", + }, + ) # Test initialization with missing similarity_threshold with pytest.raises(Exception, match="similarity_threshold must be provided"): @@ -137,6 +151,9 @@ def test_qdrant_semantic_cache_get_cache_hit(): def test_qdrant_semantic_cache_rejects_unscoped_cache_hit(): """ Test QDRANT semantic cache rejects old or unscoped cache hits. + + Legacy points have only text and response payloads, so they cannot be + safely migrated to a generated LiteLLM cache key. """ with ( patch( @@ -580,9 +597,13 @@ def test_qdrant_semantic_cache_custom_vector_size(): assert qdrant_cache.vector_size == 768 # Verify the PUT call to create the collection used vector_size=768 - put_call = mock_sync_client_instance.put.call_args - assert put_call is not None - create_payload = put_call.kwargs.get("json") or put_call[1].get("json") + put_call = next( + call + for call in mock_sync_client_instance.put.call_args_list + if call.kwargs["url"] + == "http://test.qdrant.local/collections/test_collection_768" + ) + create_payload = put_call.kwargs["json"] assert create_payload["vectors"]["size"] == 768 assert create_payload["vectors"]["distance"] == "Cosine" @@ -670,6 +691,11 @@ def test_qdrant_semantic_cache_large_vector_size(): assert qdrant_cache.vector_size == 4096 # Verify the collection was created with 4096 - put_call = mock_sync_client_instance.put.call_args - create_payload = put_call.kwargs.get("json") or put_call[1].get("json") + put_call = next( + call + for call in mock_sync_client_instance.put.call_args_list + if call.kwargs["url"] + == "http://test.qdrant.local/collections/test_collection_4096" + ) + create_payload = put_call.kwargs["json"] assert create_payload["vectors"]["size"] == 4096 From 1c19bdda79447249e81f9530e072941c577e844f Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 11:26:03 -0700 Subject: [PATCH 048/160] test(caching): cover semantic cache isolation guards --- litellm/proxy/_lazy_openapi_snapshot.py | 4 +- .../caching/test_qdrant_semantic_cache.py | 33 +++++++ .../caching/test_redis_semantic_cache.py | 94 +++++++++++++++++++ .../proxy/test_lazy_openapi_snapshot.py | 35 ------- .../test_lazy_openapi_snapshot.py | 76 +++++++++++++++ 5 files changed, 205 insertions(+), 37 deletions(-) delete mode 100644 tests/test_litellm/proxy/test_lazy_openapi_snapshot.py create mode 100644 tests/test_litellm/test_lazy_openapi_snapshot.py diff --git a/litellm/proxy/_lazy_openapi_snapshot.py b/litellm/proxy/_lazy_openapi_snapshot.py index 309a0276aac..eb32443baab 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.py +++ b/litellm/proxy/_lazy_openapi_snapshot.py @@ -59,7 +59,7 @@ def _normalize_operation_ids(paths: Dict[str, Dict]) -> None: break -def generate_snapshot() -> Dict[str, Dict]: +def generate_snapshot() -> Dict[str, Dict]: # pragma: no cover import importlib from fastapi.openapi.utils import get_openapi @@ -100,7 +100,7 @@ def generate_snapshot() -> Dict[str, Dict]: return fragments -if __name__ == "__main__": +if __name__ == "__main__": # pragma: no cover fragments = generate_snapshot() SNAPSHOT_FILE.write_text(json.dumps(fragments, indent=2, sort_keys=True) + "\n") sys.stdout.write(f"wrote {len(fragments)} feature fragments to {SNAPSHOT_FILE}\n") diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index 733cf47c899..aa46d180234 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -204,6 +204,39 @@ def test_qdrant_semantic_cache_rejects_unscoped_cache_hit(): assert result is None +def test_qdrant_semantic_cache_payload_index_failure_is_non_blocking(): + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache) + qdrant_cache.qdrant_api_base = "http://test.qdrant.local" + qdrant_cache.collection_name = "test_collection" + qdrant_cache.headers = {"Content-Type": "application/json"} + qdrant_cache.sync_client = MagicMock() + response = MagicMock() + response.status_code = 400 + response.text = "bad index" + qdrant_cache.sync_client.put.return_value = response + + qdrant_cache._ensure_cache_key_payload_index() + + qdrant_cache.sync_client.put.assert_called_once() + + +def test_qdrant_semantic_cache_payload_index_exception_is_non_blocking(): + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache) + qdrant_cache.qdrant_api_base = "http://test.qdrant.local" + qdrant_cache.collection_name = "test_collection" + qdrant_cache.headers = {"Content-Type": "application/json"} + qdrant_cache.sync_client = MagicMock() + qdrant_cache.sync_client.put.side_effect = Exception("boom") + + qdrant_cache._ensure_cache_key_payload_index() + + qdrant_cache.sync_client.put.assert_called_once() + + def test_qdrant_semantic_cache_get_cache_miss(): """ Test QDRANT semantic cache get method when there's a cache miss. diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index 9f2f390f4e2..b702de8d5f0 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -225,6 +225,52 @@ def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch): ] +def test_redis_semantic_cache_reraises_unexpected_index_error(): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache) + redis_semantic_cache.distance_threshold = 0.2 + semantic_cache_mock = MagicMock(side_effect=ValueError("connection failed")) + + with pytest.raises(ValueError, match="connection failed"): + redis_semantic_cache._init_semantic_cache( + semantic_cache_cls=semantic_cache_mock, + index_name="existing_index", + redis_url="redis://localhost:6379", + cache_vectorizer=MagicMock(), + ) + + +def test_redis_semantic_cache_matches_bytes_cache_key(): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache) + + assert redis_semantic_cache._cache_hit_matches_key( + cache_hit={RedisSemanticCache.CACHE_KEY_FIELD_NAME: b"test_key"}, + key="test_key", + ) + + +def test_redis_semantic_cache_builds_filter_expression(monkeypatch): + class FakeTag: + def __init__(self, field_name): + self.field_name = field_name + + def __eq__(self, value): + return (self.field_name, value) + + with patch.dict("sys.modules", {"redisvl.query.filter": MagicMock(Tag=FakeTag)}): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache) + + assert redis_semantic_cache._get_cache_key_filter_expression("test_key") == ( + RedisSemanticCache.CACHE_KEY_FIELD_NAME, + "test_key", + ) + + @pytest.mark.asyncio async def test_redis_semantic_cache_async_get_cache(monkeypatch): # Mock the redisvl import @@ -289,6 +335,54 @@ async def test_redis_semantic_cache_async_get_cache(monkeypatch): ) +@pytest.mark.asyncio +async def test_redis_semantic_cache_async_get_cache_rejects_unscoped_hit(monkeypatch): + semantic_cache_mock = MagicMock() + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8) + redis_semantic_cache.llmcache.acheck = AsyncMock( + return_value=[ + { + "prompt": "What is the capital of France?", + "response": '{"content": "Paris"}', + "vector_distance": 0.1, + } + ] + ) + redis_semantic_cache._get_async_embedding = AsyncMock( + return_value=[0.1, 0.2, 0.3] + ) + + with patch.object( + redis_semantic_cache, + "_get_cache_key_filter_expression", + return_value="cache-key-filter", + ): + result = await redis_semantic_cache.async_get_cache( + key="test_key", + messages=[{"content": "What is the capital of France?"}], + metadata={}, + ) + + assert result is None + + @pytest.mark.asyncio async def test_redis_semantic_cache_async_set_cache_stores_cache_key_filter( monkeypatch, diff --git a/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py b/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py deleted file mode 100644 index 8bc39c93eeb..00000000000 --- a/tests/test_litellm/proxy/test_lazy_openapi_snapshot.py +++ /dev/null @@ -1,35 +0,0 @@ -from litellm.proxy._lazy_openapi_snapshot import _normalize_operation_ids - - -def test_normalize_operation_ids_uses_each_http_method(): - paths = { - "/proxy/{endpoint}": { - "delete": {"operationId": "proxy_route_proxy__endpoint__put"}, - "get": {"operationId": "proxy_route_proxy__endpoint__put"}, - "post": {"operationId": "proxy_route_proxy__endpoint__put"}, - "put": {"operationId": "proxy_route_proxy__endpoint__put"}, - } - } - - _normalize_operation_ids(paths) - - operations = paths["/proxy/{endpoint}"] - assert operations["delete"]["operationId"] == "proxy_route_proxy__endpoint__delete" - assert operations["get"]["operationId"] == "proxy_route_proxy__endpoint__get" - assert operations["post"]["operationId"] == "proxy_route_proxy__endpoint__post" - assert operations["put"]["operationId"] == "proxy_route_proxy__endpoint__put" - - -def test_normalize_operation_ids_preserves_custom_ids(): - paths = { - "/proxy/{endpoint}": { - "get": {"operationId": "custom_operation"}, - "post": {"operationId": "custom_operation"}, - } - } - - _normalize_operation_ids(paths) - - operations = paths["/proxy/{endpoint}"] - assert operations["get"]["operationId"] == "custom_operation" - assert operations["post"]["operationId"] == "custom_operation" diff --git a/tests/test_litellm/test_lazy_openapi_snapshot.py b/tests/test_litellm/test_lazy_openapi_snapshot.py new file mode 100644 index 00000000000..c33bab2c75c --- /dev/null +++ b/tests/test_litellm/test_lazy_openapi_snapshot.py @@ -0,0 +1,76 @@ +from litellm.proxy import _lazy_openapi_snapshot as snapshot_module + + +def test_load_snapshot_returns_none_when_missing(monkeypatch, tmp_path): + monkeypatch.setattr(snapshot_module, "SNAPSHOT_FILE", tmp_path / "missing.json") + + assert snapshot_module.load_snapshot() is None + + +def test_load_snapshot_reads_json(monkeypatch, tmp_path): + snapshot_file = tmp_path / "snapshot.json" + snapshot_file.write_text('{"mcp": {"paths": {}}}') + monkeypatch.setattr(snapshot_module, "SNAPSHOT_FILE", snapshot_file) + + assert snapshot_module.load_snapshot() == {"mcp": {"paths": {}}} + + +def test_load_snapshot_returns_none_for_invalid_json(monkeypatch, tmp_path): + snapshot_file = tmp_path / "snapshot.json" + snapshot_file.write_text("{") + monkeypatch.setattr(snapshot_module, "SNAPSHOT_FILE", snapshot_file) + + assert snapshot_module.load_snapshot() is None + + +def test_normalize_operation_ids_uses_each_http_method(): + paths = { + "/proxy/{endpoint}": { + "delete": {"operationId": "proxy_route_proxy__endpoint__put"}, + "get": {"operationId": "proxy_route_proxy__endpoint__put"}, + "post": {"operationId": "proxy_route_proxy__endpoint__put"}, + "put": {"operationId": "proxy_route_proxy__endpoint__put"}, + } + } + + snapshot_module._normalize_operation_ids(paths) + + operations = paths["/proxy/{endpoint}"] + assert operations["delete"]["operationId"] == "proxy_route_proxy__endpoint__delete" + assert operations["get"]["operationId"] == "proxy_route_proxy__endpoint__get" + assert operations["post"]["operationId"] == "proxy_route_proxy__endpoint__post" + assert operations["put"]["operationId"] == "proxy_route_proxy__endpoint__put" + + +def test_normalize_operation_ids_preserves_custom_ids(): + paths = { + "/proxy/{endpoint}": { + "get": {"operationId": "custom_operation"}, + "post": {"operationId": "custom_operation"}, + } + } + + snapshot_module._normalize_operation_ids(paths) + + operations = paths["/proxy/{endpoint}"] + assert operations["get"]["operationId"] == "custom_operation" + assert operations["post"]["operationId"] == "custom_operation" + + +def test_normalize_operation_ids_skips_invalid_entries(): + paths = { + "/not-a-dict": "skip", + "/no-http-methods": {"parameters": []}, + "/invalid-operation": { + "get": ["skip"], + "post": {"operationId": 123}, + "parameters": [], + }, + } + + snapshot_module._normalize_operation_ids(paths) + + assert paths["/not-a-dict"] == "skip" + assert paths["/no-http-methods"] == {"parameters": []} + assert paths["/invalid-operation"]["get"] == ["skip"] + assert paths["/invalid-operation"]["post"] == {"operationId": 123} From d812a5356ea00258d9d1f1c01ebd74570e2cc8d2 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 11:44:33 -0700 Subject: [PATCH 049/160] fix managed container routing after staging merge --- .../container_endpoints/handler_factory.py | 45 +++++-------------- .../test_azure_container_transformation.py | 27 ++++++++++- .../test_container_proxy_ownership.py | 30 ++++++++----- 3 files changed, 57 insertions(+), 45 deletions(-) diff --git a/litellm/proxy/container_endpoints/handler_factory.py b/litellm/proxy/container_endpoints/handler_factory.py index 5a642e3fc9d..f4887f812cb 100644 --- a/litellm/proxy/container_endpoints/handler_factory.py +++ b/litellm/proxy/container_endpoints/handler_factory.py @@ -19,10 +19,7 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( get_custom_llm_provider_from_request_headers, get_custom_llm_provider_from_request_query, ) -from litellm.proxy.container_endpoints.ownership import ( - assert_user_can_access_container, - get_container_forwarding_params, -) +from litellm.proxy.container_endpoints.ownership import assert_user_can_access_container def _load_endpoints_config() -> Dict: @@ -188,18 +185,15 @@ async def _process_binary_request( or "openai" ) - original_container_id, custom_llm_provider = await assert_user_can_access_container( + await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) data: Dict[str, Any] = { + "container_id": container_id, "file_id": file_id, - **get_container_forwarding_params( - container_id, - original_container_id, - custom_llm_provider, - ), + "custom_llm_provider": custom_llm_provider, } processor = ProxyBaseLLMRequestProcessing(data=data) @@ -308,19 +302,14 @@ async def _process_multipart_upload_request( or "openai" ) - original_container_id, custom_llm_provider = await assert_user_can_access_container( + await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) - data.update( - get_container_forwarding_params( - container_id, - original_container_id, - custom_llm_provider, - ) - ) + data["container_id"] = container_id + data["custom_llm_provider"] = custom_llm_provider processor = ProxyBaseLLMRequestProcessing(data=data) try: @@ -387,22 +376,12 @@ async def _process_request( # Validate container_id ownership if present in path_params. if "container_id" in path_params: - original_container_id, custom_llm_provider = ( - await assert_user_can_access_container( - container_id=path_params["container_id"], - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, - ) + await assert_user_can_access_container( + container_id=path_params["container_id"], + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, ) - data.update( - get_container_forwarding_params( - path_params["container_id"], - original_container_id, - custom_llm_provider, - ) - ) - else: - data["custom_llm_provider"] = custom_llm_provider + data["custom_llm_provider"] = custom_llm_provider processor = ProxyBaseLLMRequestProcessing(data=data) try: diff --git a/tests/test_litellm/containers/test_azure_container_transformation.py b/tests/test_litellm/containers/test_azure_container_transformation.py index 45fa23bcb6e..7623c5b0a17 100644 --- a/tests/test_litellm/containers/test_azure_container_transformation.py +++ b/tests/test_litellm/containers/test_azure_container_transformation.py @@ -1,6 +1,6 @@ import os import sys -from unittest.mock import MagicMock +from unittest.mock import AsyncMock, MagicMock from urllib.parse import parse_qs, urlparse import httpx @@ -13,7 +13,6 @@ from litellm.llms.azure.containers.transformation import AzureContainerConfig from litellm.llms.base_llm.containers.transformation import BaseContainerConfig from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.containers.main import ( - ContainerFileListResponse, ContainerListResponse, ContainerObject, DeleteContainerResult, @@ -556,6 +555,12 @@ class TestAzureContainerKnownFailureRegressions: "base_process_llm_request", _mock_base_process_llm_request, ) + access_check = AsyncMock(return_value=("cntr_123", "azure")) + monkeypatch.setattr( + handler_factory, + "assert_user_can_access_container", + access_check, + ) request = Request( { @@ -576,6 +581,8 @@ class TestAzureContainerKnownFailureRegressions: path_params={"container_id": encoded_id}, ) + access_check.assert_awaited_once() + assert access_check.await_args.kwargs["container_id"] == encoded_id assert captured["route_type"] == "alist_container_files" assert captured["data"]["container_id"] == encoded_id assert captured["data"]["custom_llm_provider"] == "openai" @@ -620,6 +627,12 @@ class TestAzureContainerKnownFailureRegressions: "base_process_llm_request", _mock_base_process_llm_request, ) + access_check = AsyncMock(return_value=("cntr_123", "azure")) + monkeypatch.setattr( + handler_factory, + "assert_user_can_access_container", + access_check, + ) request = Request( { @@ -640,6 +653,8 @@ class TestAzureContainerKnownFailureRegressions: user_api_key_dict=MagicMock(), ) + access_check.assert_awaited_once() + assert access_check.await_args.kwargs["container_id"] == encoded_id assert captured["route_type"] == "aretrieve_container_file_content" assert captured["data"]["container_id"] == encoded_id assert captured["data"]["file_id"] == "cfile_abc" @@ -700,6 +715,12 @@ class TestAzureContainerKnownFailureRegressions: "base_process_llm_request", _mock_base_process_llm_request, ) + access_check = AsyncMock(return_value=("cntr_123", "azure")) + monkeypatch.setattr( + handler_factory, + "assert_user_can_access_container", + access_check, + ) request = Request( { @@ -719,6 +740,8 @@ class TestAzureContainerKnownFailureRegressions: container_id=encoded_id, ) + access_check.assert_awaited_once() + assert access_check.await_args.kwargs["container_id"] == encoded_id assert captured["route_type"] == "aupload_container_file" assert captured["data"]["container_id"] == encoded_id assert captured["data"]["custom_llm_provider"] == "openai" diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 19682649bb9..b696f8fc48f 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -630,7 +630,9 @@ async def test_should_include_memory_container_list_when_db_recovers_without_row @pytest.mark.asyncio -async def test_should_forward_decoded_container_id_for_proxy_forwarding(monkeypatch): +async def test_should_validate_owner_and_preserve_managed_id_for_proxy_forwarding( + monkeypatch, +): from litellm.proxy.container_endpoints import handler_factory proxy_server_stub = SimpleNamespace( @@ -665,10 +667,11 @@ async def test_should_forward_decoded_container_id_for_proxy_forwarding(monkeypa "ProxyBaseLLMRequestProcessing", FakeProcessor, ) + access_check = AsyncMock(return_value=("cntr_provider", "azure")) monkeypatch.setattr( handler_factory, "assert_user_can_access_container", - AsyncMock(return_value=("cntr_provider", "azure")), + access_check, ) encoded_id = ResponsesAPIRequestUtils._build_container_id( custom_llm_provider="azure", @@ -684,13 +687,17 @@ async def test_should_forward_decoded_container_id_for_proxy_forwarding(monkeypa path_params={"container_id": encoded_id}, ) - assert result["container_id"] == "cntr_provider" - assert result["custom_llm_provider"] == "azure" - assert result["model_id"] == "router-gpt" + access_check.assert_awaited_once() + assert access_check.await_args.kwargs["container_id"] == encoded_id + assert result["container_id"] == encoded_id + assert result["custom_llm_provider"] == "openai" + assert "model_id" not in result @pytest.mark.asyncio -async def test_should_forward_decoded_container_id_for_multipart_upload(monkeypatch): +async def test_should_validate_owner_and_preserve_managed_id_for_multipart_upload( + monkeypatch, +): from litellm.proxy.common_utils import http_parsing_utils from litellm.proxy.container_endpoints import handler_factory @@ -726,10 +733,11 @@ async def test_should_forward_decoded_container_id_for_multipart_upload(monkeypa "ProxyBaseLLMRequestProcessing", FakeProcessor, ) + access_check = AsyncMock(return_value=("cntr_provider", "azure")) monkeypatch.setattr( handler_factory, "assert_user_can_access_container", - AsyncMock(return_value=("cntr_provider", "azure")), + access_check, ) monkeypatch.setattr( http_parsing_utils, @@ -755,9 +763,11 @@ async def test_should_forward_decoded_container_id_for_multipart_upload(monkeypa container_id=encoded_id, ) - assert result["container_id"] == "cntr_provider" - assert result["custom_llm_provider"] == "azure" - assert result["model_id"] == "router-gpt" + access_check.assert_awaited_once() + assert access_check.await_args.kwargs["container_id"] == encoded_id + assert result["container_id"] == encoded_id + assert result["custom_llm_provider"] == "openai" + assert "model_id" not in result assert result["file"] == "file-data" From 74e93444cf0b08198bcd5ee1dc1a822009211c04 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 11:57:41 -0700 Subject: [PATCH 050/160] chore(caching): align qdrant scoped miss metadata --- litellm/caching/qdrant_semantic_cache.py | 1 + tests/test_litellm/caching/test_qdrant_semantic_cache.py | 6 +++++- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index e6e8e255228..e7436e2ca6b 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -349,6 +349,7 @@ class QdrantSemanticCache(BaseCache): payload = results[0]["payload"] if not self._payload_matches_cache_key(payload=payload, key=key): print_verbose("Qdrant semantic-cache hit did not match cache key scope") + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None cached_prompt = payload["text"] diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index aa46d180234..71dbd24063e 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -197,11 +197,15 @@ def test_qdrant_semantic_cache_rejects_unscoped_cache_hit(): with patch( "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} ): + metadata = {} result = qdrant_cache.get_cache( - key="test_key", messages=[{"content": "What is the capital of France?"}] + key="test_key", + messages=[{"content": "What is the capital of France?"}], + metadata=metadata, ) assert result is None + assert metadata["semantic-similarity"] == 0.0 def test_qdrant_semantic_cache_payload_index_failure_is_non_blocking(): From d8c11f962296feb8c7489bf6115062984e9716f7 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 12:10:00 -0700 Subject: [PATCH 051/160] chore(caching): align redis semantic miss metadata --- litellm/caching/redis_semantic_cache.py | 7 +++++++ tests/test_litellm/caching/test_redis_semantic_cache.py | 9 ++++++++- 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py index 06e9b4d0fa9..85d3a4f1b4b 100644 --- a/litellm/caching/redis_semantic_cache.py +++ b/litellm/caching/redis_semantic_cache.py @@ -290,6 +290,7 @@ class RedisSemanticCache(BaseCache): messages = kwargs.get("messages", []) if not messages: print_verbose("No messages provided for semantic cache lookup") + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None prompt = get_str_from_messages(messages) @@ -302,12 +303,14 @@ class RedisSemanticCache(BaseCache): # Return None if no similar prompts found if not results: + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None # Process the best matching result cache_hit = results[0] if not self._cache_hit_matches_key(cache_hit=cache_hit, key=key): print_verbose("Redis semantic-cache hit did not match cache key scope") + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None vector_distance = float(cache_hit["vector_distance"]) @@ -319,6 +322,9 @@ class RedisSemanticCache(BaseCache): cached_prompt = cache_hit["prompt"] cached_response = cache_hit["response"] + # update kwargs["metadata"] with similarity, don't rewrite the original metadata + kwargs.setdefault("metadata", {})["semantic-similarity"] = similarity + print_verbose( f"Cache hit: similarity threshold: {self.similarity_threshold}, " f"actual similarity: {similarity}, " @@ -329,6 +335,7 @@ class RedisSemanticCache(BaseCache): return self._get_cache_logic(cached_response=cached_response) except Exception as e: print_verbose(f"Error retrieving from Redis semantic cache: {str(e)}") + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 async def _get_async_embedding(self, prompt: str, **kwargs) -> List[float]: """ diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index b702de8d5f0..f5c84c9d3ef 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -90,12 +90,16 @@ def test_redis_semantic_cache_get_cache(monkeypatch): ), ): # Test get_cache with a message + metadata = {} result = redis_semantic_cache.get_cache( - key="test_key", messages=[{"content": "What is the capital of France?"}] + key="test_key", + messages=[{"content": "What is the capital of France?"}], + metadata=metadata, ) # Verify result is properly parsed assert result == {"content": "Paris is the capital of France."} + assert metadata["semantic-similarity"] == pytest.approx(0.9) # Verify llmcache.check was called redis_semantic_cache.llmcache.check.assert_called_once_with( @@ -139,12 +143,15 @@ def test_redis_semantic_cache_rejects_unscoped_cache_hit(monkeypatch): "_get_cache_key_filter_expression", return_value="cache-key-filter", ): + metadata = {} result = redis_semantic_cache.get_cache( key="test_key", messages=[{"content": "What is the capital of France?"}], + metadata=metadata, ) assert result is None + assert metadata["semantic-similarity"] == 0.0 def test_redis_semantic_cache_set_cache_stores_cache_key_filter(monkeypatch): From 8c409006ad9626ea2dde2f8f61b7b9f3cf4f75f2 Mon Sep 17 00:00:00 2001 From: mateo-berri Date: Fri, 1 May 2026 19:34:56 +0000 Subject: [PATCH 052/160] fix(scim): preserve admin-blocked keys across SCIM reactivation Tag each key SCIM blocks with metadata.scim_blocked=True. On reactivation unblock only those keys, leaving keys an admin blocked for unrelated reasons untouched. --- .../management_endpoints/scim/scim_v2.py | 73 +++++++++---- .../scim/test_scim_key_deactivation.py | 100 +++++++++++++----- 2 files changed, 125 insertions(+), 48 deletions(-) diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py index 92c8dc344ae..173acd41b35 100644 --- a/litellm/proxy/management_endpoints/scim/scim_v2.py +++ b/litellm/proxy/management_endpoints/scim/scim_v2.py @@ -337,41 +337,72 @@ async def _handle_team_membership_changes( ) +SCIM_BLOCKED_METADATA_KEY = "scim_blocked" + + +def _key_was_scim_blocked(metadata: Any) -> bool: + """True if a verification token carries the SCIM-block marker in metadata.""" + return ( + isinstance(metadata, dict) and metadata.get(SCIM_BLOCKED_METADATA_KEY) is True + ) + + async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: """ - Block or unblock all virtual keys owned by a user and invalidate them in - the in-memory/redis caches so the change takes effect immediately. + Block or unblock virtual keys owned by a user and invalidate them in the + in-memory/redis caches so the change takes effect immediately. - Returns the number of keys whose state was flipped. Used by the SCIM - deprovisioning flow so a user's keys stop working the moment SCIM marks - the user inactive (or deletes them). + Each key SCIM blocks is tagged with ``metadata.scim_blocked = True``. On + reactivation we only unblock keys carrying that marker, so a key an admin + blocked manually for unrelated reasons is left alone. + + Returns the number of keys whose state was flipped. """ from litellm.proxy.proxy_server import proxy_logging_obj, user_api_key_cache prisma_client = await _get_prisma_client_or_raise_exception() - # Only flip keys whose current state differs — avoids touching keys that - # were already (un)blocked manually by an admin. `blocked` is a nullable - # column with no default, so existing keys typically have `blocked=NULL`; - # we must treat NULL as "not blocked" so SQL equality on NULL doesn't - # silently skip them. if blocked: - state_filter: Dict[str, Any] = {"OR": [{"blocked": False}, {"blocked": None}]} + # Block keys that aren't already blocked. `blocked` is a nullable column + # with no default so existing rows typically hold NULL; treat NULL as + # "not blocked" so SQL equality on NULL doesn't silently skip them. + candidates = await prisma_client.db.litellm_verificationtoken.find_many( + where={ + "user_id": user_id, + "OR": [{"blocked": False}, {"blocked": None}], + }, + ) + affected_keys = candidates else: - state_filter = {"blocked": True} + # Only unblock keys that SCIM previously blocked. An admin-managed + # block has no `scim_blocked` marker and must not be reversed here. + candidates = await prisma_client.db.litellm_verificationtoken.find_many( + where={"user_id": user_id, "blocked": True}, + ) + affected_keys = [k for k in candidates if _key_was_scim_blocked(k.metadata)] - where_clause: Dict[str, Any] = {"user_id": user_id, **state_filter} - - affected_keys = await prisma_client.db.litellm_verificationtoken.find_many( - where=where_clause, - ) if not affected_keys: return 0 - await prisma_client.db.litellm_verificationtoken.update_many( - where=where_clause, - data={"blocked": blocked}, - ) + # Per-key updates: we need to add/remove the SCIM-block marker in JSON + # metadata, which `update_many` can't express. Cardinality is bounded by + # the number of keys a single user owns. + for key_row in affected_keys: + current_metadata: Dict[str, Any] = ( + dict(key_row.metadata) if isinstance(key_row.metadata, dict) else {} + ) + if blocked: + new_metadata = {**current_metadata, SCIM_BLOCKED_METADATA_KEY: True} + else: + new_metadata = { + k: v + for k, v in current_metadata.items() + if k != SCIM_BLOCKED_METADATA_KEY + } + await prisma_client.db.litellm_verificationtoken.update( + where={"token": key_row.token}, + data={"blocked": blocked, "metadata": safe_dumps(new_metadata)}, + ) for key_row in affected_keys: await _delete_cache_key_object( diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py index e68aef9aeda..e14209ce068 100644 --- a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py +++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py @@ -24,11 +24,12 @@ from litellm.types.proxy.management_endpoints.scim_v2 import ( ) -def _build_token_row(token: str, user_id: str, blocked: bool): +def _build_token_row(token: str, user_id: str, blocked: bool, metadata=None): row = MagicMock() row.token = token row.user_id = user_id row.blocked = blocked + row.metadata = metadata if metadata is not None else {} return row @@ -45,6 +46,7 @@ def _build_prisma_with_keys(user_keys, mock_user=None, updated_user=None): mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=user_keys) mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None) + mock_db.litellm_verificationtoken.update = AsyncMock(return_value=None) return mock_client, mock_db @@ -74,13 +76,17 @@ async def test_set_user_keys_blocked_flips_state_and_invalidates_cache(): flipped = await _set_user_keys_blocked(user_id="user-x", blocked=True) assert flipped == 2 - mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={ - "user_id": "user-x", - "OR": [{"blocked": False}, {"blocked": None}], - }, - data={"blocked": True}, - ) + # Each key gets a per-row update that flips `blocked` and stamps the + # SCIM-block marker into metadata. + assert mock_db.litellm_verificationtoken.update.await_count == 2 + update_calls = mock_db.litellm_verificationtoken.update.await_args_list + seen_tokens = set() + for call in update_calls: + kwargs = call.kwargs or call[1] + seen_tokens.add(kwargs["where"]["token"]) + assert kwargs["data"]["blocked"] is True + assert '"scim_blocked": true' in kwargs["data"]["metadata"] + assert seen_tokens == {"hash-1", "hash-2"} assert sorted(cache_deletions) == ["hash-1", "hash-2"] @@ -101,10 +107,48 @@ async def test_set_user_keys_blocked_noop_when_no_matching_keys(): flipped = await _set_user_keys_blocked(user_id="user-x", blocked=True) assert flipped == 0 + mock_db.litellm_verificationtoken.update.assert_not_called() mock_db.litellm_verificationtoken.update_many.assert_not_called() mocked_delete.assert_not_called() +@pytest.mark.asyncio +async def test_set_user_keys_unblocked_skips_admin_blocked_keys(): + """Reactivation must leave keys an admin blocked (no scim_blocked marker) alone.""" + keys = [ + # SCIM-blocked: should be unblocked. + _build_token_row( + "hash-scim", "user-x", blocked=True, metadata={"scim_blocked": True} + ), + # Admin-blocked for unrelated reasons: must remain blocked. + _build_token_row("hash-admin", "user-x", blocked=True, metadata={}), + ] + mock_client, mock_db = _build_prisma_with_keys(keys) + + cache_deletions = [] + + async def fake_delete(hashed_token, user_api_key_cache, proxy_logging_obj): + cache_deletions.append(hashed_token) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(side_effect=fake_delete), + ), + ): + flipped = await _set_user_keys_blocked(user_id="user-x", blocked=False) + + assert flipped == 1 + mock_db.litellm_verificationtoken.update.assert_awaited_once() + update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs + assert update_kwargs["where"] == {"token": "hash-scim"} + assert update_kwargs["data"]["blocked"] is False + assert cache_deletions == ["hash-scim"] + + @pytest.mark.asyncio async def test_scim_delete_user_blocks_keys_before_deleting_user(): """SCIM DELETE /Users/{id} must block the user's keys before removing the row.""" @@ -131,13 +175,11 @@ async def test_scim_delete_user_blocks_keys_before_deleting_user(): response = await delete_user(user_id=user_id) assert response.status_code == 204 - mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={ - "user_id": user_id, - "OR": [{"blocked": False}, {"blocked": None}], - }, - data={"blocked": True}, - ) + mock_db.litellm_verificationtoken.update.assert_awaited_once() + update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs + assert update_kwargs["where"] == {"token": "hash-a"} + assert update_kwargs["data"]["blocked"] is True + assert '"scim_blocked": true' in update_kwargs["data"]["metadata"] mock_db.litellm_usertable.delete.assert_awaited_once_with( where={"user_id": user_id} ) @@ -192,13 +234,11 @@ async def test_scim_patch_user_active_false_blocks_keys(): ): await patch_user(user_id=user_id, patch_ops=patch_ops) - mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={ - "user_id": user_id, - "OR": [{"blocked": False}, {"blocked": None}], - }, - data={"blocked": True}, - ) + mock_db.litellm_verificationtoken.update.assert_awaited_once() + update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs + assert update_kwargs["where"] == {"token": "hash-z"} + assert update_kwargs["data"]["blocked"] is True + assert '"scim_blocked": true' in update_kwargs["data"]["metadata"] @pytest.mark.asyncio @@ -218,7 +258,11 @@ async def test_scim_patch_user_active_true_unblocks_keys(): teams=[], metadata={"scim_active": True, "scim_metadata": {}}, ) - keys = [_build_token_row("hash-r", user_id, blocked=True)] + keys = [ + _build_token_row( + "hash-r", user_id, blocked=True, metadata={"scim_blocked": True} + ) + ] mock_client, mock_db = _build_prisma_with_keys( keys, mock_user=mock_user, updated_user=updated_user ) @@ -250,10 +294,12 @@ async def test_scim_patch_user_active_true_unblocks_keys(): ): await patch_user(user_id=user_id, patch_ops=patch_ops) - mock_db.litellm_verificationtoken.update_many.assert_awaited_once_with( - where={"user_id": user_id, "blocked": True}, - data={"blocked": False}, - ) + mock_db.litellm_verificationtoken.update.assert_awaited_once() + update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs + assert update_kwargs["where"] == {"token": "hash-r"} + assert update_kwargs["data"]["blocked"] is False + # SCIM-block marker is stripped on reactivation. + assert "scim_blocked" not in update_kwargs["data"]["metadata"] @pytest.mark.asyncio From c955df6e9799921efe25dc96824e7b35e3933c59 Mon Sep 17 00:00:00 2001 From: harish-berri Date: Fri, 1 May 2026 19:53:28 +0000 Subject: [PATCH 053/160] take pyroscope docs out of current repository --- docs/my-website/docs/proxy/config_settings.md | 1102 ----------------- .../docs/proxy/pyroscope_profiling.md | 57 - 2 files changed, 1159 deletions(-) delete mode 100644 docs/my-website/docs/proxy/config_settings.md delete mode 100644 docs/my-website/docs/proxy/pyroscope_profiling.md diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md deleted file mode 100644 index f7a2f0a7379..00000000000 --- a/docs/my-website/docs/proxy/config_settings.md +++ /dev/null @@ -1,1102 +0,0 @@ -# All settings - -```yaml -environment_variables: {} - -model_list: - - model_name: string - litellm_params: {} - model_info: - id: string - mode: embedding - input_cost_per_token: 0 - output_cost_per_token: 0 - max_tokens: 2048 - base_model: gpt-4-1106-preview - additionalProp1: {} - -litellm_settings: - # Logging/Callback settings - success_callback: ["langfuse"] # list of success callbacks - failure_callback: ["sentry"] # list of failure callbacks - callbacks: ["otel"] # list of callbacks - runs on success and failure - service_callbacks: ["datadog", "prometheus"] # logs redis, postgres failures on datadog, prometheus - turn_off_message_logging: boolean # prevent the messages and responses from being logged to on your callbacks, but request metadata will still be logged. Useful for privacy/compliance when handling sensitive data. - redact_user_api_key_info: boolean # Redact information about the user api key (hashed token, user_id, team id, etc.), from logs. Currently supported for Langfuse, OpenTelemetry, Logfire, ArizeAI logging. - langfuse_default_tags: ["cache_hit", "cache_key", "proxy_base_url", "user_api_key_alias", "user_api_key_user_id", "user_api_key_user_email", "user_api_key_team_alias", "semantic-similarity", "proxy_base_url"] # default tags for Langfuse Logging - # Networking settings - request_timeout: 10 # (int) llm requesttimeout in seconds. Raise Timeout error if call takes longer than 10s. Sets litellm.request_timeout - force_ipv4: boolean # If true, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6 + Anthropic API - - # Debugging - see debugging docs for more options - # Use `--debug` or `--detailed_debug` CLI flags, or set LITELLM_LOG env var to "INFO", "DEBUG", or "ERROR" - json_logs: boolean # if true, logs will be in json format - - # Fallbacks, reliability - default_fallbacks: ["claude-opus"] # set default_fallbacks, in case a specific model group is misconfigured / bad. - content_policy_fallbacks: [{ "gpt-3.5-turbo-small": ["claude-opus"] }] # fallbacks for ContentPolicyErrors - context_window_fallbacks: [{ "gpt-3.5-turbo-small": ["gpt-3.5-turbo-large", "claude-opus"] }] # fallbacks for ContextWindowExceededErrors - - # MCP Aliases - Map aliases to MCP server names for easier tool access - mcp_aliases: { - "github": "github_mcp_server", - "zapier": "zapier_mcp_server", - "deepwiki": "deepwiki_mcp_server", - } # Maps friendly aliases to MCP server names. Only the first alias for each server is used - - # Caching settings - cache: true - cache_params: # set cache params for redis - type: redis # type of cache to initialize (options: "local", "redis", "s3", "gcs") - - # Optional - Redis Settings - host: "localhost" # The host address for the Redis cache. Required if type is "redis". - port: 6379 # The port number for the Redis cache. Required if type is "redis". - password: "your_password" # The password for the Redis cache. Required if type is "redis". - namespace: "litellm.caching.caching" # namespace for redis cache - max_connections: 100 # [OPTIONAL] Set Maximum number of Redis connections. Passed directly to redis-py. - # Optional - Redis Cluster Settings - redis_startup_nodes: [{ "host": "127.0.0.1", "port": "7001" }] - - # Optional - Redis Sentinel Settings - service_name: "mymaster" - sentinel_nodes: [["localhost", 26379]] - - # Optional - GCP IAM Authentication for Redis - gcp_service_account: "projects/-/serviceAccounts/your-sa@project.iam.gserviceaccount.com" # GCP service account for IAM authentication - gcp_ssl_ca_certs: "./server-ca.pem" # Path to SSL CA certificate file for GCP Memorystore Redis - ssl: true # Enable SSL for secure connections - ssl_cert_reqs: null # Set to null for self-signed certificates - ssl_check_hostname: false # Set to false for self-signed certificates - - # Optional - Qdrant Semantic Cache Settings - qdrant_semantic_cache_embedding_model: openai-embedding # the model should be defined on the model_list - qdrant_collection_name: test_collection - qdrant_quantization_config: binary - qdrant_semantic_cache_vector_size: 1536 # vector size must match embedding model dimensionality - similarity_threshold: 0.8 # similarity threshold for semantic cache - - # Optional - S3 Cache Settings - s3_bucket_name: cache-bucket-litellm # AWS Bucket Name for S3 - s3_region_name: us-west-2 # AWS Region Name for S3 - s3_aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID # us os.environ/ to pass environment variables. This is AWS Access Key ID for S3 - s3_aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY # AWS Secret Access Key for S3 - s3_endpoint_url: https://s3.amazonaws.com # [OPTIONAL] S3 endpoint URL, if you want to use Backblaze/cloudflare s3 bucket - - # Optional - GCS Cache Settings - gcs_bucket_name: cache-bucket-litellm # GCS Bucket Name for caching - gcs_path_service_account: os.environ/GCS_PATH_SERVICE_ACCOUNT # Path to GCS service account JSON file - gcs_path: cache/ # [OPTIONAL] GCS path prefix for cache objects - - # Common Cache settings - # Optional - Supported call types for caching - supported_call_types: - ["acompletion", "atext_completion", "aembedding", "atranscription"] - # /chat/completions, /completions, /embeddings, /audio/transcriptions - mode: default_off # if default_off, you need to opt in to caching on a per call basis - ttl: 600 # ttl for caching - disable_copilot_system_to_assistant: False # DEPRECATED - GitHub Copilot API supports system prompts. - -callback_settings: - otel: - message_logging: boolean # OTEL logging callback specific settings - -general_settings: - completion_model: string - store_prompts_in_spend_logs: boolean - forward_client_headers_to_llm_api: boolean - disable_spend_logs: boolean # turn off writing each transaction to the db - disable_master_key_return: boolean # turn off returning master key on UI (checked on '/user/info' endpoint) - disable_retry_on_max_parallel_request_limit_error: boolean # turn off retries when max parallel request limit is reached - disable_reset_budget: boolean # turn off reset budget scheduled task - disable_adding_master_key_hash_to_db: boolean # turn off storing master key hash in db, for spend tracking - disable_responses_id_security: boolean # turn off response ID security checks that prevent users from accessing other users' responses - enable_jwt_auth: boolean # allow proxy admin to auth in via jwt tokens with 'litellm_proxy_admin' in claims - enforce_user_param: boolean # requires all openai endpoint requests to have a 'user' param - reject_clientside_metadata_tags: boolean # if true, rejects requests with client-side 'metadata.tags' to prevent users from influencing budgets - allowed_routes: ["route1", "route2"] # list of allowed proxy API routes - a user can access. (currently JWT-Auth only) - key_management_system: google_kms # either google_kms or azure_kms - master_key: string - maximum_spend_logs_retention_period: 30d # The maximum time to retain spend logs before deletion. - maximum_spend_logs_retention_interval: 1d # interval in which the spend log cleanup task should run in. - user_mcp_management_mode: restricted # or "view_all" - - # Database Settings - database_url: string - database_connection_pool_limit: 0 # default 10 - database_connection_timeout: 0 # default 60s - allow_requests_on_db_unavailable: boolean # if true, will allow requests that can not connect to the DB to verify Virtual Key to still work - - custom_auth: string - max_parallel_requests: 0 # the max parallel requests allowed per deployment - global_max_parallel_requests: 0 # the max parallel requests allowed on the proxy all up - infer_model_from_keys: true - background_health_checks: true - health_check_interval: 300 - alerting: ["slack", "email"] - alerting_threshold: 0 - use_client_credentials_pass_through_routes: boolean # use client credentials for all pass through routes like "/vertex-ai", /bedrock/. When this is True Virtual Key auth will not be applied on these endpoints - -router_settings: - routing_strategy: simple-shuffle # Literal["simple-shuffle", "least-busy", "usage-based-routing","latency-based-routing"], default="simple-shuffle" - RECOMMENDED for best performance - redis_host: # string - redis_password: # string - redis_port: # string - enable_pre_call_checks: true # bool - Before call is made check if a call is within model context window - allowed_fails: 3 # cooldown model if it fails > 1 call in a minute. - cooldown_time: 30 # (in seconds) how long to cooldown model if fails/min > allowed_fails - disable_cooldowns: True # bool - Disable cooldowns for all models - enable_tag_filtering: True # bool - Use tag based routing for requests - tag_filtering_match_any: True # bool - Tag matching behavior (only when enable_tag_filtering=true). `true`: match if deployment has ANY requested tag; `false`: match only if deployment has ALL requested tags - retry_policy: { # Dict[str, int]: retry policy for different types of exceptions - "AuthenticationErrorRetries": 3, - "TimeoutErrorRetries": 3, - "RateLimitErrorRetries": 3, - "ContentPolicyViolationErrorRetries": 4, - "InternalServerErrorRetries": 4 - } - allowed_fails_policy: { - "BadRequestErrorAllowedFails": 1000, # Allow 1000 BadRequestErrors before cooling down a deployment - "AuthenticationErrorAllowedFails": 10, # int - "TimeoutErrorAllowedFails": 12, # int - "RateLimitErrorAllowedFails": 10000, # int - "ContentPolicyViolationErrorAllowedFails": 15, # int - "InternalServerErrorAllowedFails": 20, # int - } - content_policy_fallbacks=[{"claude-2": ["my-fallback-model"]}] # List[Dict[str, List[str]]]: Fallback model for content policy violations - fallbacks=[{"claude-2": ["my-fallback-model"]}] # List[Dict[str, List[str]]]: Fallback model for all errors - -``` - -### litellm_settings - Reference - -| Name | Type | Description | -|------|------|-------------| -| success_callback | array of strings | List of success callbacks. [Doc Proxy logging callbacks](logging), [Doc Metrics](prometheus) | -| failure_callback | array of strings | List of failure callbacks [Doc Proxy logging callbacks](logging), [Doc Metrics](prometheus) | -| callbacks | array of strings | List of callbacks - runs on success and failure [Doc Proxy logging callbacks](logging), [Doc Metrics](prometheus) | -| service_callbacks | array of strings | System health monitoring - Logs redis, postgres failures on specified services (e.g. datadog, prometheus) [Doc Metrics](prometheus) | -| turn_off_message_logging | boolean | If true, prevents messages and responses from being logged to callbacks, but request metadata will still be logged. Useful for privacy/compliance when handling sensitive data [Proxy Logging](logging) | -| modify_params | boolean | If true, allows modifying the parameters of the request before it is sent to the LLM provider | -| enable_preview_features | boolean | If true, enables preview features - e.g. Azure O1 Models with streaming support.| -| LITELLM_DISABLE_STOP_SEQUENCE_LIMIT | Disable validation for stop sequence limit (default: 4) | -| redact_user_api_key_info | boolean | If true, redacts information about the user api key from logs [Proxy Logging](logging#redacting-userapikeyinfo) | -| mcp_aliases | object | Maps friendly aliases to MCP server names for easier tool access. Only the first alias for each server is used. [MCP Aliases](../mcp#mcp-aliases) | -| langfuse_default_tags | array of strings | Default tags for Langfuse Logging. Use this if you want to control which LiteLLM-specific fields are logged as tags by the LiteLLM proxy. By default LiteLLM Proxy logs no LiteLLM-specific fields as tags. [Further docs](./logging#litellm-specific-tags-on-langfuse---cache_hit-cache_key) | -| set_verbose | boolean | [DEPRECATED - see debugging docs](./debugging) Use `--debug` or `--detailed_debug` CLI flags, or set `LITELLM_LOG` env var to "INFO", "DEBUG", or "ERROR" instead. | -| json_logs | boolean | If true, logs will be in json format. If you need to store the logs as JSON, just set the `litellm.json_logs = True`. We currently just log the raw POST request from litellm as a JSON [Further docs](./debugging) | -| default_fallbacks | array of strings | List of fallback models to use if a specific model group is misconfigured / bad. [Further docs](./reliability#default-fallbacks) | -| request_timeout | integer | The timeout for requests in seconds. If not set, the default value is `6000 seconds`. [For reference OpenAI Python SDK defaults to `600 seconds`.](https://github.com/openai/openai-python/blob/main/src/openai/_constants.py) | -| force_ipv4 | boolean | If true, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6 + Anthropic API | -| content_policy_fallbacks | array of objects | Fallbacks to use when a ContentPolicyViolationError is encountered. [Further docs](./reliability#content-policy-fallbacks) | -| context_window_fallbacks | array of objects | Fallbacks to use when a ContextWindowExceededError is encountered. [Further docs](./reliability#context-window-fallbacks) | -| cache | boolean | If true, enables caching. [Further docs](./caching) | -| cache_params | object | Parameters for the cache. [Further docs](./caching#supported-cache_params-on-proxy-configyaml) | -| disable_end_user_cost_tracking | boolean | If true, turns off end user cost tracking on prometheus metrics + litellm spend logs table on proxy. | -| disable_end_user_cost_tracking_prometheus_only | boolean | If true, turns off end user cost tracking on prometheus metrics only. | -| key_generation_settings | object | Restricts who can generate keys. [Further docs](./virtual_keys.md#restricting-key-generation) | -| disable_add_transform_inline_image_block | boolean | For Fireworks AI models - if true, turns off the auto-add of `#transform=inline` to the url of the image_url, if the model is not a vision model. | -| use_chat_completions_url_for_anthropic_messages | boolean | If true, routes OpenAI `/v1/messages` requests through chat/completions instead of the Responses API. Can also be set via env var `LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES=true`. | -| skip_system_message_in_guardrail | boolean | If true, unified guardrails omit `role: system` from scanned input on **chat completions** and **Anthropic `/v1/messages`** only; the LLM still receives full messages. Per-guardrail override: `litellm_params.skip_system_message_in_guardrail` on each guardrail. [Guardrails quick start](./guardrails/quick_start#skip-system-messages-in-guardrail-evaluation) | -| disable_hf_tokenizer_download | boolean | If true, it defaults to using the openai tokenizer for all models (including huggingface models). | -| enable_json_schema_validation | boolean | If true, enables json schema validation for all requests. | -| enable_key_alias_format_validation | boolean | If true, validates `key_alias` format on `/key/generate` and `/key/update`. Must be 2-255 chars, start/end with alphanumeric, only allow `a-zA-Z0-9_-/.@`. Default `false`. | -| disable_copilot_system_to_assistant | boolean | **DEPRECATED** - GitHub Copilot API supports system prompts. | -| default_team_params | object | Default parameters applied to every new team created via `/team/new` (including SSO auto-created teams). Only fills in fields not explicitly set in the request. Sub-fields: `max_budget` (float), `budget_duration` (string, e.g. `"30d"`), `tpm_limit` (integer), `rpm_limit` (integer), `team_member_permissions` (array of strings, e.g. `["/team/daily/activity", "/key/generate"]`), `models` (array of strings — only applied to SSO auto-created teams). | - -### general_settings - Reference - -| Name | Type | Description | -|------|------|-------------| -| completion_model | string | The model to use for all completions, overriding any `model` specified in the request | -| disable_spend_logs | boolean | If true, turns off writing each transaction to the database | -| disable_spend_updates | boolean | If true, turns off all spend updates to the DB. Including key/user/team spend updates. | -| disable_master_key_return | boolean | If true, turns off returning master key on UI. (checked on '/user/info' endpoint) | -| disable_retry_on_max_parallel_request_limit_error | boolean | If true, turns off retries when max parallel request limit is reached | -| disable_reset_budget | boolean | If true, turns off reset budget scheduled task | -| disable_adding_master_key_hash_to_db | boolean | If true, turns off storing master key hash in db | -| disable_responses_id_security | boolean | If true, disables response ID security checks that prevent users from accessing response IDs from other users. When false (default), response IDs are encrypted with user information to ensure users can only access their own responses. Applies to /v1/responses endpoints | -| enable_jwt_auth | boolean | allow proxy admin to auth in via jwt tokens with 'litellm_proxy_admin' in claims. [Doc on JWT Tokens](token_auth) | -| enforce_user_param | boolean | If true, requires all OpenAI endpoint requests to have a 'user' param. [Doc on call hooks](call_hooks)| -| reject_clientside_metadata_tags | boolean | If true, rejects requests that contain client-side 'metadata.tags' to prevent users from influencing budgets by sending different tags. Tags can only be inherited from the API key metadata. | -| allowed_routes | array of strings | List of allowed proxy API routes a user can access [Doc on controlling allowed routes](enterprise#control-available-public-private-routes)| -| key_management_system | string | Specifies the key management system. [Doc Secret Managers](../secret) | -| master_key | string | The master key for the proxy [Set up Virtual Keys](virtual_keys) | -| database_url | string | The URL for the database connection [Set up Virtual Keys](virtual_keys) | -| database_connection_pool_limit | integer | The limit for database connection pool [Setting DB Connection Pool limit](#configure-db-pool-limits--connection-timeouts) | -| database_connection_timeout | integer | The timeout for database connections in seconds [Setting DB Connection Pool limit, timeout](#configure-db-pool-limits--connection-timeouts) | -| allow_requests_on_db_unavailable | boolean | If true, allows requests to succeed even if DB is unreachable. **Only use this if running LiteLLM in your VPC** This will allow requests to work even when LiteLLM cannot connect to the DB to verify a Virtual Key [Doc on graceful db unavailability](prod#5-if-running-litellm-on-vpc-gracefully-handle-db-unavailability) | -| custom_auth | string | Write your own custom authentication logic [Doc Custom Auth](virtual_keys#custom-auth) | -| max_parallel_requests | integer | The max parallel requests allowed per deployment | -| global_max_parallel_requests | integer | The max parallel requests allowed on the proxy overall | -| infer_model_from_keys | boolean | If true, infers the model from the provided keys | -| background_health_checks | boolean | If true, enables background health checks. [Doc on health checks](health) | -| health_check_interval | integer | The interval for health checks in seconds [Doc on health checks](health) | -| alerting | array of strings | List of alerting methods [Doc on Slack Alerting](alerting) | -| alerting_threshold | integer | The threshold for triggering alerts [Doc on Slack Alerting](alerting) | -| use_client_credentials_pass_through_routes | boolean | If true, uses client credentials for all pass-through routes. [Doc on pass through routes](pass_through) | -| health_check_details | boolean | If false, hides health check details (e.g. remaining rate limit). [Doc on health checks](health) | -| public_routes | List[str] | (Enterprise Feature) Control list of public routes | -| alert_types | List[str] | Control list of alert types to send to slack (Doc on alert types)[./alerting.md] | -| enforced_params | List[str] | (Enterprise Feature) List of params that must be included in all requests to the proxy | -| enable_oauth2_auth | boolean | (Enterprise Feature) If true, enables oauth2.0 authentication on LLM + info routes | -| use_x_forwarded_for | str | If true, uses the X-Forwarded-For header to get the client IP address | -| service_account_settings | List[Dict[str, Any]] | Set `service_account_settings` if you want to create settings that only apply to service account keys (Doc on service accounts)[./service_accounts.md] | -| image_generation_model | str | The default model to use for image generation - ignores model set in request | -| store_model_in_db | boolean | If true, enables storing model + credential information in the DB. | -| supported_db_objects | List[str] | Fine-grained control over which object types to load from the database when `store_model_in_db` is True. Available types: `"models"`, `"mcp"`, `"guardrails"`, `"vector_stores"`, `"pass_through_endpoints"`, `"prompts"`, `"model_cost_map"`. If not set, all object types are loaded (default behavior). Example: `supported_db_objects: ["mcp"]` to only load MCP servers from DB. | -| user_mcp_management_mode | string | Controls what non-admins can see on the MCP dashboard. `restricted` (default) only lists MCP servers that the user’s teams are explicitly allowed to access. `view_all` lets every user see the full MCP server list. Tool list/call always respects per-key permissions, so users still cannot run MCP calls without access. | -| store_prompts_in_spend_logs | boolean | If true, allows prompts and responses to be stored in the spend logs table. | -| max_request_size_mb | int | The maximum size for requests in MB. Requests above this size will be rejected. | -| max_response_size_mb | int | The maximum size for responses in MB. LLM Responses above this size will not be sent. | -| proxy_budget_rescheduler_min_time | int | The minimum time (in seconds) to wait before checking db for budget resets. **Default is 597 seconds** | -| proxy_budget_rescheduler_max_time | int | The maximum time (in seconds) to wait before checking db for budget resets. **Default is 605 seconds** | -| proxy_batch_write_at | int | Time (in seconds) to wait before batch writing spend logs to the db. **Default is 10 seconds** | -| proxy_batch_polling_interval | int | Time (in seconds) to wait before polling a batch, to check if it's completed. **Default is 6000 seconds (1 hour)** | -| alerting_args | dict | Args for Slack Alerting [Doc on Slack Alerting](./alerting.md) | -| custom_key_generate | str | Custom function for key generation [Doc on custom key generation](./virtual_keys.md#custom--key-generate) | -| allowed_ips | List[str] | List of IPs allowed to access the proxy. If not set, all IPs are allowed. | -| embedding_model | str | The default model to use for embeddings - ignores model set in request | -| default_team_disabled | boolean | If true, users cannot create 'personal' keys (keys with no team_id). | -| alert_to_webhook_url | Dict[str] | [Specify a webhook url for each alert type.](./alerting.md#set-specific-slack-channels-per-alert-type) | -| key_management_settings | List[Dict[str, Any]] | Settings for key management system (e.g. AWS KMS, Azure Key Vault) [Doc on key management](../secret.md) | -| allow_user_auth | boolean | (Deprecated) old approach for user authentication. | -| user_api_key_cache_ttl | int | The time (in seconds) to cache user api keys in memory. | -| disable_prisma_schema_update | boolean | If true, turns off automatic schema updates to DB | -| litellm_key_header_name | str | If set, allows passing LiteLLM keys as a custom header. [Doc on custom headers](./virtual_keys.md#custom-headers) | -| moderation_model | str | The default model to use for moderation. | -| custom_sso | str | Path to a python file that implements custom SSO logic. [Doc on custom SSO](./custom_sso.md) | -| allow_client_side_credentials | boolean | If true, allows passing client side credentials to the proxy. (Useful when testing finetuning models) [Doc on client side credentials](./virtual_keys.md#client-side-credentials) | -| admin_only_routes | List[str] | (Enterprise Feature) List of routes that are only accessible to admin users. [Doc on admin only routes](./enterprise#control-available-public-private-routes) | -| use_azure_key_vault | boolean | If true, load keys from azure key vault | -| use_google_kms | boolean | If true, load keys from google kms | -| spend_report_frequency | str | Specify how often you want a Spend Report to be sent (e.g. "1d", "2d", "30d") [More on this](./alerting.md#spend-report-frequency) | -| ui_access_mode | Literal["admin_only"] | If set, restricts access to the UI to admin users only. [Docs](./ui.md#restrict-ui-access) | -| litellm_jwtauth | Dict[str, Any] | Settings for JWT authentication. [Docs](./token_auth.md) | -| litellm_license | str | The license key for the proxy. [Docs](../enterprise.md#how-does-deployment-with-enterprise-license-work) | -| oauth2_config_mappings | Dict[str, str] | Define the OAuth2 config mappings | -| pass_through_endpoints | List[Dict[str, Any]] | Define the pass through endpoints. [Docs](./pass_through) | -| enable_oauth2_proxy_auth | boolean | (Enterprise Feature) If true, enables oauth2.0 authentication | -| forward_openai_org_id | boolean | If true, forwards the OpenAI Organization ID to the backend LLM call (if it's OpenAI). | -| forward_client_headers_to_llm_api | boolean | If true, forwards the client headers (any `x-` headers and `anthropic-beta` headers) to the backend LLM call | -| maximum_spend_logs_retention_period | str | Used to set the max retention time for spend logs in the db, after which they will be auto-purged | -| maximum_spend_logs_retention_interval | str | Used to set the interval in which the spend log cleanup task should run in. | -| alert_type_config | dict | Configuration mapping alert types to their handler settings | -| always_include_stream_usage | boolean | If true, includes usage metrics in every streaming response chunk | -| auto_redirect_ui_login_to_sso | boolean | If true, automatically redirects UI login page to SSO provider | -| control_plane_url | string | URL of the control plane for cross-instance state sharing | -| custom_auth_run_common_checks | boolean | If true, runs standard auth validation checks alongside custom auth handlers | -| custom_ui_sso_sign_in_handler | string | Custom handler for SSO sign-in logic in the UI | -| database_connection_pool_timeout | integer | Database connection pool timeout in seconds | -| disable_error_logs | boolean | If true, suppresses error tracking and storage in the database | -| enable_health_check_routing | boolean | If true, enables health check-driven request routing to avoid unhealthy deployments | -| health_check_ignore_transient_errors | boolean | If true, 429 (rate limit) and 408 (timeout) health check failures are ignored and do not affect routing or cooldown | -| enable_mcp_registry | boolean | If true, enables access to the centralized MCP server registry | -| enforce_rbac | boolean | If true, enables role-based access control (RBAC) for all proxy operations | -| forward_llm_provider_auth_headers | boolean | If true, forwards provider-specific auth headers to LLM API calls | -| health_check_concurrency | integer | Maximum number of concurrent health check operations | -| health_check_staleness_threshold | integer | Maximum age in seconds for health check results before marking deployments as stale | -| maximum_spend_logs_cleanup_cron | string | Cron expression for scheduling automatic spend log cleanup tasks | -| mcp_client_side_auth_header_name | string | HTTP header name for client-side MCP server credentials | -| mcp_internal_ip_ranges | list | CIDR ranges considered internal for non-public MCP server access control | -| mcp_required_fields | list | List of required field names for MCP server submissions | -| mcp_trusted_proxy_ranges | list | CIDR ranges of proxies trusted to forward X-Forwarded-For headers for MCP | -| require_end_user_mcp_access_defined | boolean | If true, requires end users to have explicit MCP access permissions defined | -| role_permissions | list | List of role-based permission configurations | -| search_tools | list | List of search tool configurations for enabling web search capabilities | -| token_rate_limit_type | string | Rate limit counting method: "total", "output", or "input" tokens | -| use_redis_transaction_buffer | boolean | If true, buffers database transactions in Redis before writing | -| use_shared_health_check | boolean | If true, uses Redis-backed shared health check state across multiple proxy instances | -| user_header_mappings | dict | Map custom request headers to user IDs using lookup rules | -| user_header_name | string | HTTP header name to extract user identity from requests | - -### router_settings - Reference - -:::info - -Most values can also be set via `litellm_settings`. If you see overlapping values, settings on -`router_settings` will override those on `litellm_settings`. ::: - -```yaml -router_settings: - routing_strategy: simple-shuffle # Literal["simple-shuffle", "least-busy", "usage-based-routing","latency-based-routing"], default="simple-shuffle" - RECOMMENDED for best performance - redis_host: # string - redis_password: # string - redis_port: # string - enable_pre_call_checks: true # bool - Before call is made check if a call is within model context window - allowed_fails: 3 # cooldown model if it fails > 1 call in a minute. - cooldown_time: 30 # (in seconds) how long to cooldown model if fails/min > allowed_fails - disable_cooldowns: True # bool - Disable cooldowns for all models - enable_tag_filtering: True # bool - Use tag based routing for requests - tag_filtering_match_any: True # bool - Tag matching behavior (only when enable_tag_filtering=true). `true`: match if deployment has ANY requested tag; `false`: match only if deployment has ALL requested tags - retry_policy: { # Dict[str, int]: retry policy for different types of exceptions - "AuthenticationErrorRetries": 3, - "TimeoutErrorRetries": 3, - "RateLimitErrorRetries": 3, - "ContentPolicyViolationErrorRetries": 4, - "InternalServerErrorRetries": 4 - } - allowed_fails_policy: { - "BadRequestErrorAllowedFails": 1000, # Allow 1000 BadRequestErrors before cooling down a deployment - "AuthenticationErrorAllowedFails": 10, # int - "TimeoutErrorAllowedFails": 12, # int - "RateLimitErrorAllowedFails": 10000, # int - "ContentPolicyViolationErrorAllowedFails": 15, # int - "InternalServerErrorAllowedFails": 20, # int - } - content_policy_fallbacks=[{"claude-2": ["my-fallback-model"]}] # List[Dict[str, List[str]]]: Fallback model for content policy violations - fallbacks=[{"claude-2": ["my-fallback-model"]}] # List[Dict[str, List[str]]]: Fallback model for all errors -``` - -| Name | Type | Description | -|------|------|-------------| -| routing_strategy | string | The strategy used for routing requests. Options: "simple-shuffle", "least-busy", "usage-based-routing", "latency-based-routing". Default is "simple-shuffle". [More information here](../routing) | -| redis_host | string | The host address for the Redis server. **Only set this if you have multiple instances of LiteLLM Proxy and want current tpm/rpm tracking to be shared across them** | -| redis_password | string | The password for the Redis server. **Only set this if you have multiple instances of LiteLLM Proxy and want current tpm/rpm tracking to be shared across them** | -| redis_port | string | The port number for the Redis server. **Only set this if you have multiple instances of LiteLLM Proxy and want current tpm/rpm tracking to be shared across them**| -| redis_db | int | The database number for the Redis server. **Only set this if you have multiple instances of LiteLLM Proxy and want current tpm/rpm tracking to be shared across them**| -| enable_pre_call_check | boolean | If true, checks if a call is within the model's context window before making the call. [More information here](reliability) | -| content_policy_fallbacks | array of objects | Specifies fallback models for content policy violations. [More information here](reliability) | -| fallbacks | array of objects | Specifies fallback models for all types of errors. [More information here](reliability) | -| enable_tag_filtering | boolean | If true, uses tag based routing for requests [Tag Based Routing](tag_routing) | -| tag_filtering_match_any | boolean | Tag matching behavior (only when enable_tag_filtering=true). `true`: match if deployment has ANY requested tag; `false`: match only if deployment has ALL requested tags | -| cooldown_time | integer | The duration (in seconds) to cooldown a model if it exceeds the allowed failures. | -| disable_cooldowns | boolean | If true, disables cooldowns for all models. [More information here](reliability) | -| retry_policy | object | Specifies the number of retries for different types of exceptions. [More information here](reliability) | -| allowed_fails | integer | The number of failures allowed before cooling down a model. [More information here](reliability) | -| allowed_fails_policy | object | Specifies the number of allowed failures for different error types before cooling down a deployment. [More information here](reliability) | -| default_max_parallel_requests | Optional[int] | The default maximum number of parallel requests for a deployment. | -| default_priority | (Optional[int]) | The default priority for a request. Only for '.scheduler_acompletion()'. Default is None. | -| polling_interval | (Optional[float]) | frequency of polling queue. Only for '.scheduler_acompletion()'. Default is 3ms. | -| max_fallbacks | Optional[int] | The maximum number of fallbacks to try before exiting the call. Defaults to 5. | -| default_litellm_params | Optional[dict] | The default litellm parameters to add to all requests (e.g. `temperature`, `max_tokens`). | -| timeout | Optional[float] | The default timeout for a request. Default is 10 minutes. | -| stream_timeout | Optional[float] | The default timeout for a streaming request. If not set, the 'timeout' value is used. | -| debug_level | Literal["DEBUG", "INFO"] | The debug level for the logging library in the router. Defaults to "INFO". | -| client_ttl | int | Time-to-live for cached clients in seconds. Defaults to 3600. | -| cache_kwargs | dict | Additional keyword arguments for the cache initialization. Use this for non-string Redis parameters that may fail when set via `REDIS_*` environment variables. | -| routing_strategy_args | dict | Additional keyword arguments for the routing strategy - e.g. lowest latency routing default ttl | -| model_group_alias | dict | Model group alias mapping. E.g. `{"claude-3-haiku": "claude-3-haiku-20240229"}` | -| num_retries | int | Number of retries for a request. Defaults to 3. | -| default_fallbacks | Optional[List[str]] | Fallbacks to try if no model group-specific fallbacks are defined. | -| caching_groups | Optional[List[tuple]] | List of model groups for caching across model groups. Defaults to None. - e.g. caching_groups=[("openai-gpt-3.5-turbo", "azure-gpt-3.5-turbo")]| -| alerting_config | AlertingConfig | [SDK-only arg] Slack alerting configuration. Defaults to None. [Further Docs](../routing.md#alerting-) | -| assistants_config | AssistantsConfig | Set on proxy via `assistant_settings`. [Further docs](../assistants.md) | -| set_verbose | boolean | [DEPRECATED PARAM - see debug docs](./debugging) If true, sets the logging level to verbose. | -| retry_after | int | Time to wait before retrying a request in seconds. Defaults to 0. If `x-retry-after` is received from LLM API, this value is overridden. | -| provider_budget_config | ProviderBudgetConfig | Provider budget configuration. Use this to set llm_provider budget limits. example $100/day to OpenAI, $100/day to Azure, etc. Defaults to None. [Further Docs](./provider_budget_routing.md) | -| enable_pre_call_checks | boolean | If true, checks if a call is within the model's context window before making the call. **Required** for `model_info.max_input_tokens` enforcement. Default: false. [More information here](reliability) | -| model_group_retry_policy | Dict[str, RetryPolicy] | [SDK-only arg] Set retry policy for model groups. | -| context_window_fallbacks | List[Dict[str, List[str]]] | Fallback models for context window violations. | -| redis_url | str | URL for Redis server. **Known performance issue with Redis URL.** | -| cache_responses | boolean | Flag to enable caching LLM Responses, if cache set under `router_settings`. If true, caches responses. Defaults to False. | -| router_general_settings | RouterGeneralSettings | [SDK-Only] Router general settings - contains optimizations like 'async_only_mode'. [Docs](../routing.md#router-general-settings) | -| optional_pre_call_checks | List[str] | List of pre-call checks to add to the router. Supported: `router_budget_limiting`, `prompt_caching`, `responses_api_deployment_check`, `encrypted_content_affinity` (requires LiteLLM >= 1.82.3), `deployment_affinity`, `session_affinity`, `forward_client_headers_by_model_group` | -| deployment_affinity_ttl_seconds | int | TTL (seconds) for user-key → deployment affinity mapping when `deployment_affinity` is enabled (configured at Router init / proxy startup). Defaults to `3600` (1 hour). | -| model_group_affinity_config | Dict[str, List[str]] | Per-model-group affinity flags. Keys are model group names; values are lists of checks to enable (`deployment_affinity`, `responses_api_deployment_check`, `session_affinity`). Groups not listed fall back to the global `optional_pre_call_checks`. [Docs](../response_api.md#per-model-group-affinity-configuration) | -| ignore_invalid_deployments | boolean | If true, ignores invalid deployments. Default for proxy is True - to prevent invalid models from blocking other models from being loaded. | -| search_tools | List[SearchToolTypedDict] | List of search tool configurations for Search API integration. Each tool specifies a search_tool_name and litellm_params with search_provider, api_key, api_base, etc. [Further Docs](../search/index.md) | -| guardrail_list | List[GuardrailTypedDict] | List of guardrail configurations for guardrail load balancing. Enables load balancing across multiple guardrail deployments with the same guardrail_name. [Further Docs](./guardrails/guardrail_load_balancing.md) | -| enable_health_check_routing | boolean | If true, enables health check-driven deployment filtering to avoid routing requests to unhealthy deployments | -| health_check_staleness_threshold | integer | Maximum age in seconds for cached health check results before marking deployments as stale | -| health_check_ignore_transient_errors | boolean | If true, 429 (rate limit) and 408 (timeout) health check failures are ignored and do not affect routing or cooldown | - - -### environment variables - Reference - -| Name | Description | -|------|-------------| -| ACTIONS_ID_TOKEN_REQUEST_TOKEN | Token for requesting ID in GitHub Actions -| ACTIONS_ID_TOKEN_REQUEST_URL | URL for requesting ID token in GitHub Actions -| AGENTOPS_ENVIRONMENT | Environment for AgentOps logging integration -| AGENTOPS_API_KEY | API Key for AgentOps logging integration -| AGENTOPS_SERVICE_NAME | Service Name for AgentOps logging integration -| AISPEND_ACCOUNT_ID | Account ID for AI Spend -| AISPEND_API_KEY | API Key for AI Spend -| AIOHTTP_CONNECTOR_LIMIT | Connection limit for aiohttp connector. When set to 0, no limit is applied. **Default is 0** -| AIOHTTP_CONNECTOR_LIMIT_PER_HOST | Connection limit per host for aiohttp connector. When set to 0, no limit is applied. **Default is 0** -| AIOHTTP_KEEPALIVE_TIMEOUT | Keep-alive timeout for aiohttp connections in seconds. **Default is 120** -| AIOHTTP_TRUST_ENV | Flag to enable aiohttp trust environment. When this is set to True, aiohttp will respect HTTP(S)_PROXY env vars. **Default is False** -| AIOHTTP_TTL_DNS_CACHE | DNS cache time-to-live for aiohttp in seconds. **Default is 300** -| ALLOWED_EMAIL_DOMAINS | List of email domains allowed for access -| APSCHEDULER_COALESCE | Whether to combine multiple pending executions of a job into one. **Default is False** -| APSCHEDULER_MAX_INSTANCES | Maximum number of concurrent instances of each job. **Default is 1** -| APSCHEDULER_MISFIRE_GRACE_TIME | Grace time in seconds for misfired jobs. **Default is 1** -| APSCHEDULER_REPLACE_EXISTING | Whether to replace existing jobs with the same ID. **Default is False** -| ARIZE_API_KEY | API key for Arize platform integration -| ARIZE_SPACE_KEY | Space key for Arize platform -| ARGILLA_BATCH_SIZE | Batch size for Argilla logging -| ARGILLA_API_KEY | API key for Argilla platform -| ARGILLA_SAMPLING_RATE | Sampling rate for Argilla logging -| ARGILLA_DATASET_NAME | Dataset name for Argilla logging -| ARGILLA_BASE_URL | Base URL for Argilla service -| ATHINA_API_KEY | API key for Athina service -| ATHINA_BASE_URL | Base URL for Athina service (defaults to `https://log.athina.ai`) -| AUTH_STRATEGY | Strategy used for authentication (e.g., OAuth, API key) -| AUTO_REDIRECT_UI_LOGIN_TO_SSO | Flag to enable automatic redirect of UI login page to SSO when SSO is configured. Default is **false** -| AUDIO_SPEECH_CHUNK_SIZE | Chunk size for audio speech processing. Default is 1024 -| ANTHROPIC_API_KEY | API key for Anthropic service. Uses `x-api-key` header for authentication. -| ANTHROPIC_AUTH_TOKEN | Alternative auth token for Anthropic service. Uses `Authorization: Bearer` header instead of `x-api-key`. Used as fallback when `ANTHROPIC_API_KEY` is not set. -| ANTHROPIC_API_BASE | Base URL for Anthropic API. Default is https://api.anthropic.com -| ANTHROPIC_BASE_URL | Alternative to `ANTHROPIC_API_BASE` for setting the Anthropic API base URL. Used as fallback when `ANTHROPIC_API_BASE` is not set. -| ANTHROPIC_TOKEN_COUNTING_BETA_VERSION | Beta version header for Anthropic token counting API. Default is `token-counting-2024-11-01` -| AWS_ACCESS_KEY_ID | Access Key ID for AWS services -| AWS_BATCH_ROLE_ARN | ARN of the AWS IAM role for batch operations -| AWS_DEFAULT_REGION | Default AWS region for service interactions when AWS_REGION is not set -| AWS_PROFILE_NAME | AWS CLI profile name to be used -| AWS_REGION | AWS region for service interactions (takes precedence over AWS_DEFAULT_REGION) -| AWS_REGION_NAME | Default AWS region for service interactions -| AWS_ROLE_ARN | ARN of the AWS IAM role to assume for authentication -| AWS_ROLE_NAME | Role name for AWS IAM usage -| AWS_S3_BUCKET_NAME | Name of the AWS S3 bucket for file operations -| AWS_S3_OUTPUT_BUCKET_NAME | Name of the AWS S3 output bucket for batch operations -| AWS_SECRET_ACCESS_KEY | Secret Access Key for AWS services -| AWS_SESSION_NAME | Name for AWS session -| AWS_WEB_IDENTITY_TOKEN | Web identity token for AWS -| AWS_WEB_IDENTITY_TOKEN_FILE | Path to file containing web identity token for AWS -| AZURE_API_VERSION | Version of the Azure API being used -| AZURE_AI_API_BASE | Base URL for Azure AI services (e.g., Azure AI Anthropic) -| AZURE_AI_API_KEY | API key for Azure AI services (e.g., Azure AI Anthropic) -| AZURE_AUTHORITY_HOST | Azure authority host URL -| AZURE_CERTIFICATE_PASSWORD | Password for Azure OpenAI certificate -| AZURE_CLIENT_ID | Client ID for Azure services -| AZURE_CLIENT_SECRET | Client secret for Azure services -| AZURE_COMPUTER_USE_INPUT_COST_PER_1K_TOKENS | Input cost per 1K tokens for Azure Computer Use service -| AZURE_COMPUTER_USE_OUTPUT_COST_PER_1K_TOKENS | Output cost per 1K tokens for Azure Computer Use service -| AZURE_DEFAULT_RESPONSES_API_VERSION | Version of the Azure Default Responses API being used. Default is "preview" -| AZURE_DOCUMENT_INTELLIGENCE_API_VERSION | API version for Azure Document Intelligence service -| AZURE_DOCUMENT_INTELLIGENCE_DEFAULT_DPI | Default DPI (dots per inch) setting for Azure Document Intelligence service -| AZURE_TENANT_ID | Tenant ID for Azure Active Directory -| AZURE_USERNAME | Username for Azure services, use in conjunction with AZURE_PASSWORD for azure ad token with basic username/password workflow -| AZURE_PASSWORD | Password for Azure services, use in conjunction with AZURE_USERNAME for azure ad token with basic username/password workflow -| AZURE_FEDERATED_TOKEN_FILE | File path to Azure federated token -| AZURE_FILE_SEARCH_COST_PER_GB_PER_DAY | Cost per GB per day for Azure File Search service -| AZURE_SCOPE | For EntraID Auth, Scope for Azure services, defaults to "https://cognitiveservices.azure.com/.default" -| AZURE_SENTINEL_DCR_IMMUTABLE_ID | Immutable ID of the Data Collection Rule for Azure Sentinel logging -| AZURE_SENTINEL_STREAM_NAME | Stream name for Azure Sentinel logging -| AZURE_SENTINEL_CLIENT_SECRET | Client secret for Azure Sentinel authentication -| AZURE_SENTINEL_ENDPOINT | Endpoint for Azure Sentinel logging -| AZURE_SENTINEL_TENANT_ID | Tenant ID for Azure Sentinel authentication -| AZURE_SENTINEL_CLIENT_ID | Client ID for Azure Sentinel authentication -| AZURE_KEY_VAULT_URI | URI for Azure Key Vault -| AZURE_OPERATION_POLLING_TIMEOUT | Timeout in seconds for Azure operation polling -| AZURE_STORAGE_ACCOUNT_KEY | The Azure Storage Account Key to use for Authentication to Azure Blob Storage logging -| AZURE_STORAGE_ACCOUNT_NAME | Name of the Azure Storage Account to use for logging to Azure Blob Storage -| AZURE_STORAGE_FILE_SYSTEM | Name of the Azure Storage File System to use for logging to Azure Blob Storage. (Typically the Container name) -| AZURE_STORAGE_TENANT_ID | The Application Tenant ID to use for Authentication to Azure Blob Storage logging -| AZURE_STORAGE_CLIENT_ID | The Application Client ID to use for Authentication to Azure Blob Storage logging -| AZURE_STORAGE_CLIENT_SECRET | The Application Client Secret to use for Authentication to Azure Blob Storage logging -| AZURE_VECTOR_STORE_COST_PER_GB_PER_DAY | Cost per GB per day for Azure Vector Store service -| BACKGROUND_HEALTH_CHECK_MAX_TOKENS | Optional global default for `max_tokens` on proxy background health checks when a model has no `health_check_max_tokens`. If unset, non-wildcard models default to 5. Applies to wildcard routes when set. Default is unset -| BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING | For **non-wildcard** reasoning models (`supports_reasoning(model)=true`), this takes precedence over `BACKGROUND_HEALTH_CHECK_MAX_TOKENS` when set. If unset, reasoning models fall back to `BACKGROUND_HEALTH_CHECK_MAX_TOKENS` (if set) or default behavior. Wildcard routes ignore this. Default is unset -| BATCH_STATUS_POLL_INTERVAL_SECONDS | Interval in seconds for polling batch status. Default is 3600 (1 hour) -| BATCH_STATUS_POLL_MAX_ATTEMPTS | Maximum number of attempts for polling batch status. Default is 24 (for 24 hours) -| BEDROCK_MAX_POLICY_SIZE | Maximum size for Bedrock policy. Default is 75 -| BEDROCK_MIN_THINKING_BUDGET_TOKENS | Minimum thinking budget in tokens for Bedrock reasoning models. Bedrock returns a 400 error if budget_tokens is below this value. Requests with lower values are clamped to this minimum. Default is 1024 -| BERRISPEND_ACCOUNT_ID | Account ID for BerriSpend service -| BRAINTRUST_API_KEY | API key for Braintrust integration -| BRAINTRUST_API_BASE | Base URL for Braintrust API. Default is https://api.braintrustdata.com/v1 -| BRAINTRUST_MOCK | Enable mock mode for Braintrust integration testing. When set to true, intercepts Braintrust API calls and returns mock responses without making actual network calls. Default is false -| BRAINTRUST_MOCK_LATENCY_MS | Mock latency in milliseconds for Braintrust API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms -| CACHED_STREAMING_CHUNK_DELAY | Delay in seconds for cached streaming chunks. Default is 0.02 -| CHATGPT_API_BASE | Base URL for ChatGPT API. Default is https://chatgpt.com/backend-api/codex -| CHATGPT_AUTH_FILE | Filename for ChatGPT authentication data. Default is "auth.json" -| CHATGPT_DEFAULT_INSTRUCTIONS | Default system instructions for ChatGPT provider -| CHATGPT_ORIGINATOR | Originator identifier for ChatGPT API requests. Default is "codex_cli_rs" -| CHATGPT_TOKEN_DIR | Directory to store ChatGPT authentication tokens. Default is "~/.config/litellm/chatgpt" -| CHATGPT_USER_AGENT | Custom user agent string for ChatGPT API requests -| CHATGPT_USER_AGENT_SUFFIX | Suffix to append to the ChatGPT user agent string -| CIRCLE_OIDC_TOKEN | OpenID Connect token for CircleCI -| CIRCLE_OIDC_TOKEN_V2 | Version 2 of the OpenID Connect token for CircleCI -| CLI_JWT_EXPIRATION_HOURS | Expiration time in hours for CLI-generated JWT tokens. Default is 24 hours. Can also be set via LITELLM_CLI_JWT_EXPIRATION_HOURS -| CLOUDZERO_API_KEY | CloudZero API key for authentication -| CLOUDZERO_CONNECTION_ID | CloudZero connection ID for data submission -| CLOUDZERO_EXPORT_INTERVAL_MINUTES | Interval in minutes for CloudZero data export operations -| CLOUDZERO_MAX_FETCHED_DATA_RECORDS | Maximum number of data records to fetch from CloudZero -| CLOUDZERO_TIMEZONE | Timezone for date handling (default: UTC) -| CONFIG_FILE_PATH | File path for configuration file -| CYBERARK_ACCOUNT | CyberArk account name for secret management -| CYBERARK_API_BASE | Base URL for CyberArk API -| CYBERARK_API_KEY | API key for CyberArk secret management service -| CYBERARK_CLIENT_CERT | Path to client certificate for CyberArk authentication -| CYBERARK_CLIENT_KEY | Path to client key for CyberArk authentication -| CYBERARK_USERNAME | Username for CyberArk authentication -| CYBERARK_SSL_VERIFY | Flag to enable or disable SSL certificate verification for CyberArk. Default is True -| CONFIDENT_API_KEY | API key for DeepEval integration -| CUSTOM_TIKTOKEN_CACHE_DIR | Custom directory for Tiktoken cache -| CONFIDENT_API_KEY | API key for Confident AI (Deepeval) Logging service -| COHERE_API_BASE | Base URL for Cohere API. Default is https://api.cohere.com -| COMPETITOR_LLM_TEMPERATURE | Temperature setting for the LLM used in competitor discovery. Default is 0.3 -| CURSOR_API_BASE | API base URL for Cursor AI provider integration. Default is https://api.cursor.com -| DATABASE_HOST | Hostname for the database server -| DATABASE_NAME | Name of the database -| DATABASE_PASSWORD | Password for the database user -| DATABASE_PORT | Port number for database connection -| DATABASE_SCHEMA | Schema name used in the database -| DATABASE_URL | Connection URL for the database -| DATABASE_USER | Username for database connection -| DATABASE_USERNAME | Alias for database user -| DATABRICKS_API_BASE | Base URL for Databricks API -| DATABRICKS_API_KEY | API key (Personal Access Token) for Databricks API authentication -| DATABRICKS_CLIENT_ID | Client ID for Databricks OAuth M2M authentication (Service Principal application ID) -| DATABRICKS_CLIENT_SECRET | Client secret for Databricks OAuth M2M authentication -| DATABRICKS_USER_AGENT | Custom user agent string for Databricks API requests. Used for partner telemetry attribution -| DAYS_IN_A_MONTH | Days in a month for calculation purposes. Default is 28 -| DAYS_IN_A_WEEK | Days in a week for calculation purposes. Default is 7 -| DAYS_IN_A_YEAR | Days in a year for calculation purposes. Default is 365 -| DYNAMOAI_API_KEY | API key for DynamoAI Guardrails service -| DYNAMOAI_API_BASE | Base URL for DynamoAI API. Default is https://api.dynamo.ai -| DYNAMOAI_MODEL_ID | Model ID for DynamoAI tracking/logging purposes -| DYNAMOAI_POLICY_IDS | Comma-separated list of DynamoAI policy IDs to apply -| DD_BASE_URL | Base URL for Datadog integration -| DATADOG_BASE_URL | (Alternative to DD_BASE_URL) Base URL for Datadog integration -| _DATADOG_BASE_URL | (Alternative to DD_BASE_URL) Base URL for Datadog integration -| DD_AGENT_HOST | Hostname or IP of DataDog agent (e.g., "localhost"). When set, logs are sent to agent instead of direct API -| DD_AGENT_PORT | Port of DataDog agent for log intake. Default is 10518 -| DD_API_KEY | API key for Datadog integration -| DD_APP_KEY | Application key for Datadog Cost Management integration. Required along with DD_API_KEY for cost metrics -| DD_SITE | Site URL for Datadog (e.g., datadoghq.com) -| DD_SOURCE | Source identifier for Datadog logs -| DD_TRACER_STREAMING_CHUNK_YIELD_RESOURCE | Resource name for Datadog tracing of streaming chunk yields. Default is "streaming.chunk.yield" -| DD_ENV | Environment identifier for Datadog logs. Only supported for `datadog_llm_observability` callback -| DD_SERVICE | Service identifier for Datadog logs. Defaults to "litellm-server" -| DD_VERSION | Version identifier for Datadog logs. Defaults to "unknown" -| DATADOG_MOCK | Enable mock mode for Datadog integration testing. When set to true, intercepts Datadog API calls and returns mock responses without making actual network calls. Default is false -| DATADOG_MOCK_LATENCY_MS | Mock latency in milliseconds for Datadog API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms -| DEBUG_OTEL | Enable debug mode for OpenTelemetry -| DEFAULT_ALLOWED_FAILS | Maximum failures allowed before cooling down a model. Default is 3 -| DEFAULT_A2A_AGENT_TIMEOUT | Default timeout in seconds for A2A (Agent-to-Agent) protocol requests. Default is 6000 -| DEFAULT_ACCESS_GROUP_CACHE_TTL | Time-to-live in seconds for cached access group information. Default is 600 (10 minutes) -| DEFAULT_ANTHROPIC_CHAT_MAX_TOKENS | Default maximum tokens for Anthropic chat completions. Default is 4096 -| DEFAULT_BATCH_SIZE | Default batch size for operations. Default is 512 -| DEFAULT_CHUNK_OVERLAP | Default chunk overlap for RAG text splitters. Default is 200 -| DEFAULT_CHUNK_SIZE | Default chunk size for RAG text splitters. Default is 1000 -| DEFAULT_CLIENT_DISCONNECT_CHECK_TIMEOUT_SECONDS | Timeout in seconds for checking client disconnection. Default is 1 -| DEFAULT_COOLDOWN_TIME_SECONDS | Duration in seconds to cooldown a model after failures. Default is 5 -| DEFAULT_CRON_JOB_LOCK_TTL_SECONDS | Time-to-live for cron job locks in seconds. Default is 60 (1 minute) -| DEFAULT_DATAFORSEO_LOCATION_CODE | Default location code for DataForSEO search API. Default is 2250 (France) -| DEFAULT_FAILURE_THRESHOLD_PERCENT | Threshold percentage of failures to cool down a deployment. Default is 0.5 (50%) -| DEFAULT_FAILURE_THRESHOLD_MINIMUM_REQUESTS | Minimum number of requests before applying error rate cooldown. Prevents cooldown from triggering on first failure. Default is 5 -| DEFAULT_FLUSH_INTERVAL_SECONDS | Default interval in seconds for flushing operations. Default is 5 -| DEFAULT_HEALTH_CHECK_INTERVAL | Default interval in seconds for health checks. Default is 300 (5 minutes) -| DEFAULT_HEALTH_CHECK_PROMPT | Default prompt used during health checks for non-image models. Default is "test from litellm" -| DEFAULT_IMAGE_HEIGHT | Default height for images. Default is 300 -| DEFAULT_IMAGE_TOKEN_COUNT | Default token count for images. Default is 250 -| DEFAULT_IMAGE_WIDTH | Default width for images. Default is 300 -| DEFAULT_IN_MEMORY_TTL | Default time-to-live for in-memory cache in seconds. Default is 5 -| DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL | Default time-to-live in seconds for management objects (User, Team, Key, Organization) in memory cache. Default is 60 seconds. -| DEFAULT_MAX_LRU_CACHE_SIZE | Default maximum size for LRU cache. Default is 64 -| DEFAULT_MAX_RECURSE_DEPTH | Default maximum recursion depth. Default is 100 -| DEFAULT_MAX_RECURSE_DEPTH_SENSITIVE_DATA_MASKER | Default maximum recursion depth for sensitive data masker. Default is 10 -| DEFAULT_MAX_RETRIES | Default maximum retry attempts. Default is 2 -| DEFAULT_MAX_TOKENS | Default maximum tokens for LLM calls. Default is 4096 -| DEFAULT_MAX_TOKENS_FOR_TRITON | Default maximum tokens for Triton models. Default is 2000 -| DEFAULT_MAX_REDIS_BATCH_CACHE_SIZE | Default maximum size for redis batch cache. Default is 1000 -| DEFAULT_MCP_SEMANTIC_FILTER_EMBEDDING_MODEL | Default embedding model for MCP semantic tool filtering. Default is "text-embedding-3-small" -| DEFAULT_MCP_SEMANTIC_FILTER_SIMILARITY_THRESHOLD | Default similarity threshold for MCP semantic tool filtering. Default is 0.3 -| DEFAULT_MCP_SEMANTIC_FILTER_TOP_K | Default number of top results to return for MCP semantic tool filtering. Default is 10 -| MCP_NPM_CACHE_DIR | Directory for npm cache used by STDIO MCP servers. In containers the default (~/.npm) may not exist or be read-only. Default is `/tmp/.npm_mcp_cache` -| LITELLM_MCP_CLIENT_TIMEOUT | MCP client connection timeout in seconds (stdio and HTTP/SSE transports). Default is 60 -| LITELLM_MCP_TOOL_LISTING_TIMEOUT | Timeout in seconds for listing tools from an MCP server. Default is 30 -| LITELLM_MCP_METADATA_TIMEOUT | HTTP client timeout in seconds for OAuth metadata fetching. Default is 10 -| LITELLM_MCP_HEALTH_CHECK_TIMEOUT | Health check timeout in seconds for MCP servers. Default is 10 -| LITELLM_MCP_STDIO_EXTRA_COMMANDS | Comma-separated extra command basenames allowed for MCP stdio transport beyond the built-in allowlist. Example: `my-mcp-bin`. Empty by default -| MCP_OAUTH2_TOKEN_CACHE_DEFAULT_TTL | Default TTL in seconds for MCP OAuth2 token cache. Default is 3600 -| MCP_OAUTH2_TOKEN_CACHE_MAX_SIZE | Maximum number of entries in MCP OAuth2 token cache. Default is 200 -| MCP_OAUTH2_TOKEN_CACHE_MIN_TTL | Minimum TTL in seconds for MCP OAuth2 token cache. Default is 10 -| MCP_OAUTH2_TOKEN_EXPIRY_BUFFER_SECONDS | Seconds to subtract from token expiry when computing cache TTL. Default is 60 -| MCP_PER_USER_TOKEN_DEFAULT_TTL | Default TTL in seconds for per-user MCP OAuth tokens stored in Redis. Default is 43200 (12 hours) -| MCP_PER_USER_TOKEN_EXPIRY_BUFFER_SECONDS | Seconds to subtract from per-user MCP OAuth token expiry when computing Redis TTL. Default is 60 -| DEFAULT_MOCK_RESPONSE_COMPLETION_TOKEN_COUNT | Default token count for mock response completions. Default is 20 -| DEFAULT_MOCK_RESPONSE_PROMPT_TOKEN_COUNT | Default token count for mock response prompts. Default is 10 -| DEFAULT_MODEL_CREATED_AT_TIME | Default creation timestamp for models. Default is 1677610602 -| DEFAULT_NUM_WORKERS_LITELLM_PROXY | Default number of workers for LiteLLM proxy when `NUM_WORKERS` is not set. Default is 1. **We strongly recommend setting NUM_WORKERS to the number of vCPUs available** (e.g. `NUM_WORKERS=8` or `--num_workers 8`). -| DEFAULT_PROMPT_INJECTION_SIMILARITY_THRESHOLD | Default threshold for prompt injection similarity. Default is 0.7 -| DEFAULT_POLLING_INTERVAL | Default polling interval for schedulers in seconds. Default is 0.03 -| DEFAULT_REASONING_EFFORT_DISABLE_THINKING_BUDGET | Default reasoning effort disable thinking budget. Default is 0 -| DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET | Default high reasoning effort thinking budget. Default is 4096 -| DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET | Default low reasoning effort thinking budget. Default is 1024 -| DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET | Default medium reasoning effort thinking budget. Default is 2048 -| DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET | Default minimal reasoning effort thinking budget. Default is 512 -| DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET_GEMINI_2_5_FLASH | Default minimal reasoning effort thinking budget for Gemini 2.5 Flash. Default is 512 -| DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET_GEMINI_2_5_FLASH_LITE | Default minimal reasoning effort thinking budget for Gemini 2.5 Flash Lite. Default is 512 -| DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET_GEMINI_2_5_PRO | Default minimal reasoning effort thinking budget for Gemini 2.5 Pro. Default is 512 -| DEFAULT_REDIS_MAJOR_VERSION | Default Redis major version to assume when version cannot be determined. Default is 7 -| DEFAULT_REDIS_SYNC_INTERVAL | Default Redis synchronization interval in seconds. Default is 1 -| DEFAULT_SEMANTIC_GUARD_EMBEDDING_MODEL | Default embedding model for Semantic Guard (route-matching guardrail). Default is "text-embedding-3-small" -| DEFAULT_SEMANTIC_GUARD_SIMILARITY_THRESHOLD | Default similarity threshold for Semantic Guard route matching. Default is 0.75 -| DEFAULT_REPLICATE_GPU_PRICE_PER_SECOND | Default price per second for Replicate GPU. Default is 0.001400 -| DEFAULT_REPLICATE_POLLING_DELAY_SECONDS | Default delay in seconds for Replicate polling. Default is 1 -| DEFAULT_REPLICATE_POLLING_RETRIES | Default number of retries for Replicate polling. Default is 5 -| DEFAULT_SQS_BATCH_SIZE | Default batch size for SQS logging. Default is 512 -| DEFAULT_SQS_FLUSH_INTERVAL_SECONDS | Default flush interval for SQS logging. Default is 10 -| DEFAULT_S3_BATCH_SIZE | Default batch size for S3 logging. Default is 512 -| DEFAULT_S3_FLUSH_INTERVAL_SECONDS | Default flush interval for S3 logging. Default is 10 -| DEFAULT_SLACK_ALERTING_THRESHOLD | Default threshold for Slack alerting. Default is 300 -| DEFAULT_SOFT_BUDGET | Default soft budget for LiteLLM proxy keys. Default is 50.0 -| DEFAULT_TRIM_RATIO | Default ratio of tokens to trim from prompt end. Default is 0.75 -| DEFAULT_GOOGLE_VIDEO_DURATION_SECONDS | Default duration for video generation in seconds in google. Default is 8 -| DIRECT_URL | Direct URL for service endpoint -| DISABLE_ADMIN_UI | Toggle to disable the admin UI -| DISABLE_AIOHTTP_TRANSPORT | Flag to disable aiohttp transport. When this is set to True, litellm will use httpx instead of aiohttp. **Default is False** -| DISABLE_AIOHTTP_TRUST_ENV | Flag to disable aiohttp trust environment. When this is set to True, litellm will not trust the environment for aiohttp eg. `HTTP_PROXY` and `HTTPS_PROXY` environment variables will not be used when this is set to True. **Default is False** -| DISABLE_SCHEMA_UPDATE | Toggle to disable schema updates -| DYNAMIC_RATE_LIMIT_ERROR_THRESHOLD_PER_MINUTE | Threshold for deployment failures per minute before enforcing rate limits in parallel request limiter. Default is 1 -| DOCS_DESCRIPTION | Description text for documentation pages -| DOCS_FILTERED | Flag indicating filtered documentation -| DOCS_TITLE | Title of the documentation pages -| DOCS_URL | The path to the Swagger API documentation. **By default this is "/"** -| EMAIL_LOGO_URL | URL for the logo used in emails -| EMAIL_BUDGET_ALERT_TTL | Time-to-live for email budget alerts in seconds -| EMAIL_BUDGET_ALERT_MAX_SPEND_ALERT_PERCENTAGE | Maximum spend percentage for triggering email budget alerts -| EMAIL_SUPPORT_CONTACT | Support contact email address -| EMAIL_SIGNATURE | Custom HTML footer/signature for all emails. Can include HTML tags for formatting and links. -| EMAIL_SUBJECT_INVITATION | Custom subject template for invitation emails. -| EMAIL_SUBJECT_KEY_CREATED | Custom subject template for key creation emails. -| EMAIL_BUDGET_ALERT_MAX_SPEND_ALERT_PERCENTAGE | Percentage of max budget that triggers alerts (as decimal: 0.8 = 80%). Default is 0.8 -| EMAIL_BUDGET_ALERT_TTL | Time-to-live for budget alert deduplication in seconds. Default is 86400 (24 hours) -| ENKRYPTAI_API_BASE | Base URL for EnkryptAI Guardrails API. **Default is https://api.enkryptai.com** -| ENKRYPTAI_API_KEY | API key for EnkryptAI Guardrails service -| FIREWORKS_AI_4_B | Size parameter for Fireworks AI 4B model. Default is 4 -| FIREWORKS_AI_16_B | Size parameter for Fireworks AI 16B model. Default is 16 -| FIREWORKS_AI_56_B_MOE | Size parameter for Fireworks AI 56B MOE model. Default is 56 -| FIREWORKS_AI_80_B | Size parameter for Fireworks AI 80B model. Default is 80 -| FIREWORKS_AI_176_B_MOE | Size parameter for Fireworks AI 176B MOE model. Default is 176 -| FOCUS_PROVIDER | Destination provider for Focus exports (e.g., `s3`). Defaults to `s3`. -| FOCUS_FORMAT | Output format for Focus exports. Defaults to `parquet`. -| FOCUS_FREQUENCY | Frequency for scheduled Focus exports (`hourly`, `daily`, or `interval`). Defaults to `hourly`. -| FOCUS_CRON_OFFSET | Minute offset used when scheduling hourly/daily Focus exports. Defaults to `5` minutes. -| FOCUS_INTERVAL_SECONDS | Interval (in seconds) for Focus exports when `frequency` is `interval`. -| FOCUS_PREFIX | Object key prefix (or folder) used when uploading Focus export files. Defaults to `focus_exports`. -| FOCUS_S3_BUCKET_NAME | S3 bucket to upload Focus export files when using the S3 destination. -| FOCUS_S3_REGION_NAME | AWS region for the Focus export S3 bucket. -| FOCUS_S3_ENDPOINT_URL | Custom endpoint for the Focus export S3 client (optional; useful for S3-compatible storage). -| FOCUS_S3_ACCESS_KEY | AWS access key ID used by the Focus export S3 client. -| FOCUS_S3_SECRET_KEY | AWS secret access key used by the Focus export S3 client. -| FOCUS_S3_SESSION_TOKEN | AWS session token used by the Focus export S3 client (optional). -| FUNCTION_DEFINITION_TOKEN_COUNT | Token count for function definitions. Default is 9 -| GALILEO_BASE_URL | Base URL for Galileo platform -| GALILEO_PASSWORD | Password for Galileo authentication -| GALILEO_PROJECT_ID | Project ID for Galileo usage -| GALILEO_USERNAME | Username for Galileo authentication -| GOOGLE_SECRET_MANAGER_PROJECT_ID | Project ID for Google Secret Manager -| GCS_BUCKET_NAME | Name of the Google Cloud Storage bucket -| GCS_MOCK | Enable mock mode for GCS integration testing. When set to true, intercepts GCS API calls and returns mock responses without making actual network calls. Default is false -| GCS_MOCK_LATENCY_MS | Mock latency in milliseconds for GCS API calls when mock mode is enabled. Simulates network round-trip time. Default is 150ms -| GCS_PATH_SERVICE_ACCOUNT | Path to the Google Cloud service account JSON file -| GCS_FLUSH_INTERVAL | Flush interval for GCS logging (in seconds). Specify how often you want a log to be sent to GCS. **Default is 20 seconds** -| GCS_BATCH_SIZE | Batch size for GCS logging. Specify after how many logs you want to flush to GCS. If `BATCH_SIZE` is set to 10, logs are flushed every 10 logs. **Default is 2048** -| GCS_USE_BATCHED_LOGGING | Enable batched logging for GCS. When enabled (default), multiple log payloads are combined into single GCS object uploads (NDJSON format), dramatically reducing API calls. When disabled, sends each log individually as separate GCS objects (legacy behavior). **Default is true** -| GCS_PUBSUB_TOPIC_ID | PubSub Topic ID to send LiteLLM SpendLogs to. -| GCS_PUBSUB_PROJECT_ID | PubSub Project ID to send LiteLLM SpendLogs to. -| GENERIC_AUTHORIZATION_ENDPOINT | Authorization endpoint for generic OAuth providers -| GENERIC_CLIENT_ID | Client ID for generic OAuth providers -| GENERIC_CLIENT_SECRET | Client secret for generic OAuth providers -| GENERIC_CLIENT_STATE | State parameter for generic client authentication -| GENERIC_CLIENT_USE_PKCE | Enable PKCE (Proof Key for Code Exchange) for generic OAuth providers. Set to "true" when your OAuth provider requires PKCE. **Default is false** -| GENERIC_SSO_HEADERS | Comma-separated list of additional headers to add to the request - e.g. Authorization=Bearer ``, Content-Type=application/json, etc. -| GENERIC_INCLUDE_CLIENT_ID | Include client ID in requests for OAuth -| GENERIC_SCOPE | Scope settings for generic OAuth providers -| GENERIC_TOKEN_ENDPOINT | Token endpoint for generic OAuth providers -| GENERIC_USER_DISPLAY_NAME_ATTRIBUTE | Attribute for user's display name in generic auth -| GENERIC_USER_EMAIL_ATTRIBUTE | Attribute for user's email in generic auth -| GENERIC_USER_EXTRA_ATTRIBUTES | Comma-separated list of additional fields to extract from generic SSO provider response (e.g., "department,employee_id,groups"). Accessible via `CustomOpenID.extra_fields` in custom SSO handlers. Supports dot notation for nested fields -| GENERIC_USER_FIRST_NAME_ATTRIBUTE | Attribute for user's first name in generic auth -| GENERIC_USER_ID_ATTRIBUTE | Attribute for user ID in generic auth -| GENERIC_USER_LAST_NAME_ATTRIBUTE | Attribute for user's last name in generic auth -| GENERIC_USER_PROVIDER_ATTRIBUTE | Attribute specifying the user's provider -| GENERIC_USER_ROLE_ATTRIBUTE | Attribute specifying the user's role -| GENERIC_USERINFO_ENDPOINT | Endpoint to fetch user information in generic OAuth -| GENERIC_LOGGER_ENDPOINT | Endpoint URL for the Generic Logger callback to send logs to -| GENERIC_LOGGER_HEADERS | JSON string of headers to include in Generic Logger callback requests -| GENERIC_ROLE_MAPPINGS_DEFAULT_ROLE | Default LiteLLM role to assign when no role mapping matches in generic SSO. Used with GENERIC_ROLE_MAPPINGS_ROLES -| GENERIC_ROLE_MAPPINGS_GROUP_CLAIM | The claim/attribute name in the SSO token that contains the user's groups. Used for role mapping -| GENERIC_ROLE_MAPPINGS_ROLES | Python dict string mapping LiteLLM roles to SSO group names. Example: `{"proxy_admin": ["admin-group"], "internal_user": ["users"]}` -| GENERIC_USER_ROLE_MAPPINGS | Alternative to GENERIC_ROLE_MAPPINGS_ROLES for configuring user role mappings from SSO -| GEMINI_API_BASE | Base URL for Gemini API. Default is https://generativelanguage.googleapis.com -| GALILEO_BASE_URL | Base URL for Galileo platform -| GALILEO_PASSWORD | Password for Galileo authentication -| GALILEO_PROJECT_ID | Project ID for Galileo usage -| GALILEO_USERNAME | Username for Galileo authentication -| GITHUB_COPILOT_TOKEN_DIR | Directory to store GitHub Copilot token for `github_copilot` llm provider -| GITHUB_COPILOT_API_KEY_FILE | File to store GitHub Copilot API key for `github_copilot` llm provider -| GITHUB_COPILOT_ACCESS_TOKEN_FILE | File to store GitHub Copilot access token for `github_copilot` llm provider -| GITHUB_COPILOT_API_BASE | Base URL for GitHub Copilot API. For GitHub Enterprise subscriptions with custom host, it is similar to https://copilot-api.my-company.ghe.com. Default is https://api.githubcopilot.com -| GITHUB_COPILOT_DEVICE_CODE_URL | URL for GitHub Copilot device code authentication. For GitHub Enterprise subscriptions with custom host, it is similar to https://my-company.ghe.com/login/device/code. Default is https://github.com/login/device/code -| GITHUB_COPILOT_ACCESS_TOKEN_URL | URL for GitHub Copilot access token retrieval. For GitHub Enterprise subscriptions with custom host, it is similar to https://my-company.ghe.com/login/oauth/access_token. Default is https://github.com/login/oauth/access_token -| GITHUB_COPILOT_API_KEY_URL | URL for GitHub Copilot API key retrieval. For GitHub Enterprise subscriptions with custom host, it is similar to https://my-company.ghe.com/api/v3/copilot_internal/v2/token. Default is https://api.github.com/copilot_internal/v2/token -| GITHUB_COPILOT_CLIENT_ID | Client ID for GitHub Copilot device flow authentication. This is used by the `github_copilot` provider for device code authentication. Default is "Iv1.b507a08c87ecfe98" -| GREENSCALE_API_KEY | API key for Greenscale service -| GREENSCALE_ENDPOINT | Endpoint URL for Greenscale service -| GRAYSWAN_API_BASE | Base URL for GraySwan API. Default is https://api.grayswan.ai -| GRAYSWAN_API_KEY | API key for GraySwan Cygnal service -| GRAYSWAN_REASONING_MODE | Reasoning mode for GraySwan guardrail -| GRAYSWAN_VIOLATION_THRESHOLD | Violation threshold for GraySwan guardrail -| GOOGLE_APPLICATION_CREDENTIALS | Path to Google Cloud credentials JSON file -| GOOGLE_CLIENT_ID | Client ID for Google OAuth -| GOOGLE_CLIENT_SECRET | Client secret for Google OAuth -| GOOGLE_KMS_RESOURCE_NAME | Name of the resource in Google KMS -| GUARDRAILS_AI_API_BASE | Base URL for Guardrails AI API -| HEALTH_CHECK_TIMEOUT_SECONDS | Timeout in seconds for health checks. Default is 60 -| HEROKU_API_BASE | Base URL for Heroku API -| HEROKU_API_KEY | API key for Heroku services -| HF_API_BASE | Base URL for Hugging Face API -| HCP_VAULT_ADDR | Address for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_APPROLE_MOUNT_PATH | Mount path for AppRole authentication in [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault). Default is "approle" -| HCP_VAULT_APPROLE_ROLE_ID | Role ID for AppRole authentication in [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_APPROLE_SECRET_ID | Secret ID for AppRole authentication in [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_CLIENT_CERT | Path to client certificate for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_CLIENT_KEY | Path to client key for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_MOUNT_NAME | Mount name for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_NAMESPACE | Namespace for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_PATH_PREFIX | Path prefix for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_TOKEN | Token for [Hashicorp Vault Secret Manager](../secret.md#hashicorp-vault) -| HCP_VAULT_CERT_ROLE | Role for [Hashicorp Vault Secret Manager Auth](../secret.md#hashicorp-vault) -| HELICONE_API_KEY | API key for Helicone service -| HELICONE_API_BASE | Base URL for Helicone service, defaults to `https://api.helicone.ai` -| HELICONE_MOCK | Enable mock mode for Helicone integration testing. When set to true, intercepts Helicone API calls and returns mock responses without making actual network calls. Default is false -| HELICONE_MOCK_LATENCY_MS | Mock latency in milliseconds for Helicone API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms -| HOSTNAME | Hostname for the server, this will be [emitted to `datadog` logs](https://docs.litellm.ai/docs/proxy/logging#datadog) -| HOURS_IN_A_DAY | Hours in a day for calculation purposes. Default is 24 -| HIDDENLAYER_API_BASE | Base URL for HiddenLayer API. Defaults to `https://api.hiddenlayer.ai` -| HIDDENLAYER_AUTH_URL | Authentication URL for HiddenLayer. Defaults to `https://auth.hiddenlayer.ai` -| HIDDENLAYER_CLIENT_ID | Client ID for HiddenLayer SaaS authentication -| HIDDENLAYER_CLIENT_SECRET | Client secret for HiddenLayer SaaS authentication -| HUGGINGFACE_API_BASE | Base URL for Hugging Face API -| HUGGINGFACE_API_KEY | API key for Hugging Face API -| HUMANLOOP_PROMPT_CACHE_TTL_SECONDS | Time-to-live in seconds for cached prompts in Humanloop. Default is 60 -| IAM_TOKEN_DB_AUTH | IAM token for database authentication -| IBM_GUARDRAILS_API_BASE | Base URL for IBM Guardrails API -| IBM_GUARDRAILS_AUTH_TOKEN | Authorization bearer token for IBM Guardrails API -| INITIAL_RETRY_DELAY | Initial delay in seconds for retrying requests. Default is 0.5 -| JITTER | Jitter factor for retry delay calculations. Default is 0.75 -| JSON_LOGS | Enable JSON formatted logging -| JWT_AUDIENCE | Expected audience for JWT tokens -| JWT_PUBLIC_KEY_URL | URL to fetch public key for JWT verification -| LAGO_API_BASE | Base URL for Lago API -| LAGO_API_CHARGE_BY | Parameter to determine charge basis in Lago -| LAGO_API_EVENT_CODE | Event code for Lago API events -| LAGO_API_KEY | API key for accessing Lago services -| LANGFUSE_DEBUG | Toggle debug mode for Langfuse -| LANGFUSE_FLUSH_INTERVAL | Interval for flushing Langfuse logs -| LANGFUSE_TRACING_ENVIRONMENT | Environment for Langfuse tracing -| LANGFUSE_HOST | Host URL for Langfuse service -| LANGFUSE_MOCK | Enable mock mode for Langfuse integration testing. When set to true, intercepts Langfuse API calls and returns mock responses without making actual network calls. Default is false -| LANGFUSE_MOCK_LATENCY_MS | Mock latency in milliseconds for Langfuse API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms -| LANGFUSE_PUBLIC_KEY | Public key for Langfuse authentication -| LANGFUSE_RELEASE | Release version of Langfuse integration -| LANGFUSE_SECRET_KEY | Secret key for Langfuse authentication -| LANGFUSE_PROPAGATE_TRACE_ID | Flag to enable propagating trace ID to Langfuse. Default is False -| LANGSMITH_API_KEY | API key for Langsmith platform -| LANGSMITH_BASE_URL | Base URL for Langsmith service -| LANGSMITH_BATCH_SIZE | Batch size for operations in Langsmith -| LANGSMITH_DEFAULT_RUN_NAME | Default name for Langsmith run -| LANGSMITH_PROJECT | Project name for Langsmith integration -| LANGSMITH_SAMPLING_RATE | Sampling rate for Langsmith logging -| LANGSMITH_TENANT_ID | Tenant ID for Langsmith multi-tenant deployments -| LANGSMITH_MOCK | Enable mock mode for Langsmith integration testing. When set to true, intercepts Langsmith API calls and returns mock responses without making actual network calls. Default is false -| LANGSMITH_MOCK_LATENCY_MS | Mock latency in milliseconds for Langsmith API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms -| LANGTRACE_API_KEY | API key for Langtrace service -| LASSO_API_BASE | Base URL for Lasso API -| LASSO_API_KEY | API key for Lasso service -| LASSO_USER_ID | User ID for Lasso service -| LASSO_CONVERSATION_ID | Conversation ID for Lasso service -| LENGTH_OF_LITELLM_GENERATED_KEY | Length of keys generated by LiteLLM. Default is 16 -| LEGACY_MULTI_INSTANCE_RATE_LIMITING | Flag to enable legacy multi-instance rate limiting. **Default is False** -| LITERAL_API_KEY | API key for Literal integration -| LITERAL_API_URL | API URL for Literal service -| LITERAL_BATCH_SIZE | Batch size for Literal operations -| LITELLM_ANTHROPIC_BETA_HEADERS_URL | Custom URL for fetching Anthropic beta headers configuration. Default is the GitHub main branch URL -| LITELLM_ANTHROPIC_DISABLE_URL_SUFFIX | Disable automatic URL suffix appending for Anthropic API base URLs. When set to `true`, prevents LiteLLM from automatically adding `/v1/messages` or `/v1/complete` to custom Anthropic API endpoints -| LITELLM_ASSETS_PATH | Path to directory for UI assets and logos. Used when running with read-only filesystem (e.g., Kubernetes). Default is `/var/lib/litellm/assets` in Docker. -| LITELLM_BLOG_POSTS_URL | Custom URL for fetching LiteLLM blog posts JSON. Default is the GitHub main branch URL -| LITELLM_CLI_JWT_EXPIRATION_HOURS | Expiration time in hours for CLI-generated JWT tokens. Default is 24 hours -| LITELLM_CORS_ALLOW_CREDENTIALS | Set to `true` to explicitly allow credentials in CORS responses. When not set, credentials are disabled automatically if `LITELLM_CORS_ORIGINS` is `*` (wildcard) to prevent the browser security misconfiguration of reflecting any origin with credentials -| LITELLM_CORS_ORIGINS | Comma-separated list of allowed CORS origins (e.g. `https://app.example.com,https://admin.example.com`). Defaults to `*` (all origins) when not set -| LITELLM_DD_AGENT_HOST | Hostname or IP of DataDog agent for LiteLLM-specific logging. When set, logs are sent to agent instead of direct API -| LITELLM_DEPLOYMENT_ENVIRONMENT | Environment name for the deployment (e.g., "production", "staging"). Used as a fallback when OTEL_ENVIRONMENT_NAME is not set. Sets the `environment` tag in telemetry data -| LITELLM_DETAILED_TIMING | When true, adds detailed per-phase timing headers to responses (`x-litellm-timing-{pre-processing,llm-api,post-processing,message-copy}-ms`). Default is false. See [latency overhead docs](../troubleshoot/latency_overhead.md) -| LITELLM_DD_AGENT_PORT | Port of DataDog agent for LiteLLM-specific log intake. Default is 10518 -| LITELLM_DD_LLM_OBS_PORT | Port for Datadog LLM Observability agent. Default is 8126 -| LITELLM_DONT_SHOW_FEEDBACK_BOX | Flag to hide feedback box in LiteLLM UI -| LITELLM_DROP_PARAMS | Parameters to drop in LiteLLM requests -| LITELLM_MODIFY_PARAMS | Parameters to modify in LiteLLM requests -| LITELLM_EMAIL | Email associated with LiteLLM account -| LITELLM_FAVICON_URL | Custom URL for the LiteLLM UI favicon. When set, overrides the default favicon -| LITELLM_GLOBAL_MAX_PARALLEL_REQUEST_RETRIES | Maximum retries for parallel requests in LiteLLM -| LITELLM_GLOBAL_MAX_PARALLEL_REQUEST_RETRY_TIMEOUT | Timeout for retries of parallel requests in LiteLLM -| LITELLM_DISABLE_LAZY_LOADING | When set to "1", "true", "yes", or "on", disables lazy loading of attributes (currently only affects encoding/tiktoken). This ensures encoding is initialized before VCR starts recording HTTP requests, fixing VCR cassette creation issues. See [issue #18659](https://github.com/BerriAI/litellm/issues/18659) -| LITELLM_DISABLE_REDACT_SECRETS | When set to "true", disables automatic redaction of secrets (API keys, tokens, credentials) from proxy log output. Secret redaction is enabled by default. -| LITELLM_MIGRATION_DIR | Custom migrations directory for prisma migrations, used for baselining db in read-only file systems. -| LITELLM_HOSTED_UI | URL of the hosted UI for LiteLLM -| LITELLM_UI_API_DOC_BASE_URL | Optional override for the API Reference base URL (used in sample code/docs) when the admin UI runs on a different host than the proxy. Defaults to `PROXY_BASE_URL` when unset. -| LITELLM_UI_PATH | Path to directory for Admin UI files. Used when running with read-only filesystem (e.g., Kubernetes). Default is `/var/lib/litellm/ui` in Docker. -| LITELLM_UI_SESSION_DURATION | Duration for UI login session (username/password, SSO, invitation links). Format: "30s", "30m", "24h", "7d". Does not apply to EXPERIMENTAL_UI_LOGIN flow, which uses a fixed 10-minute expiry for security. Default is "24h" -| LITELM_ENVIRONMENT | Environment of LiteLLM Instance, used by logging services. Currently only used by DeepEval. -| LITELLM_KEY_ROTATION_ENABLED | Enable auto-key rotation for LiteLLM (boolean). Default is false. -| LITELLM_KEY_ROTATION_CHECK_INTERVAL_SECONDS | Interval in seconds for how often to run job that auto-rotates keys. Default is 86400 (24 hours). -| LITELLM_KEY_ROTATION_GRACE_PERIOD | Duration to keep old key valid after rotation (e.g. "24h", "2d"). Default is empty (immediate revoke). Used for scheduled rotations and as fallback when not specified in regenerate request. -| LITELLM_KEY_ROTATION_LOCK_TTL_SECONDS | TTL in seconds for the distributed lock used by the key rotation job. Default is 600 (10 minutes). -| LITELLM_LICENSE | License key for LiteLLM usage -| LITELLM_LOCAL_ANTHROPIC_BETA_HEADERS | Set to `True` to use the local bundled Anthropic beta headers config only, disabling remote fetching. Default is `False` -| LITELLM_OIDC_ALLOWED_CREDENTIAL_DIRS | Comma-separated list of absolute directories from which the `oidc/file/` provider is permitted to read token files. Defaults to `/var/run/secrets,/run/secrets`. -| LITELLM_LOCAL_BLOG_POSTS | When set to `True`, uses the local bundled blog posts only, disabling remote fetching from GitHub. Default is `False` -| LITELLM_LOCAL_MODEL_COST_MAP | Local configuration for model cost mapping in LiteLLM -| LITELLM_LOCAL_POLICY_TEMPLATES | When set to "true", uses local backup policy templates instead of fetching from GitHub. Policy templates are fetched from https://raw.githubusercontent.com/BerriAI/litellm/main/policy_templates.json by default, with automatic fallback to local backup on failure -| LITELLM_LOG | Enable detailed logging for LiteLLM -| LITELLM_MODEL_COST_MAP_URL | URL for fetching model cost map data. Default is https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json -| LITELLM_LOG_FILE | File path to write LiteLLM logs to. When set, logs will be written to both console and the specified file -| LITELLM_LOGGER_NAME | Name for OTEL logger -| LITELLM_METER_NAME | Name for OTEL Meter -| LITELLM_OTEL_INTEGRATION_ENABLE_EVENTS | Optionally enable semantic logs for OTEL -| LITELLM_OTEL_INTEGRATION_ENABLE_METRICS | Optionally enable emantic metrics for OTEL -| LITELLM_ENABLE_PYROSCOPE | If true, enables Pyroscope CPU profiling. Profiles are sent to PYROSCOPE_SERVER_ADDRESS. Off by default. See [Pyroscope profiling](/proxy/pyroscope_profiling). -| LITELLM_ENABLE_TEAM_STALE_ALIAS_BYPASS | When `true`, if a team's legacy `model_aliases` entry maps a public model name to an internal `model_name__` deployment, pre-call handling can skip that rewrite when team-scoped sibling deployments exist for the public name—so load balancing / `order` apply across siblings. Default is `false` for backwards compatibility. See [Team-scoped models and legacy aliases](./load_balancing#team-scoped-models-and-legacy-model_aliases). When stale aliases are detected and this flag is off, the proxy may log a one-time warning. -| PYROSCOPE_APP_NAME | Application name reported to Pyroscope. Required when LITELLM_ENABLE_PYROSCOPE is true. No default. -| PYROSCOPE_SERVER_ADDRESS | Pyroscope server URL to send profiles to. Required when LITELLM_ENABLE_PYROSCOPE is true. No default. -| PYROSCOPE_SAMPLE_RATE | Optional. Sample rate for Pyroscope profiling (integer). No default; when unset, the pyroscope-io library default is used. -| PYROSCOPE_GRAFANA_USER | Optional. Grafana Cloud Pyroscope user/tenant ID for basic auth. Required when PYROSCOPE_GRAFANA_API_TOKEN is set. -| PYROSCOPE_GRAFANA_API_TOKEN | Optional. Grafana Cloud API/access policy token for Pyroscope basic auth. Required when PYROSCOPE_GRAFANA_USER is set. -| LITELLM_MASTER_KEY | Master key for proxy authentication -| LITELLM_MAX_BUDGET_PER_SESSION_TTL | TTL in seconds for session budget counters used by the max-budget-per-session limiter. Default is 3600 (1 hour) -| LITELLM_MAX_ITERATIONS_TTL | TTL in seconds for session iteration counters used by the max-iterations limiter. Default is 3600 (1 hour) -| LITELLM_MAX_STREAMING_DURATION_SECONDS | Maximum duration in seconds allowed for a streaming response. Streams exceeding this duration are terminated with a Timeout error. Default is None (no limit) -| LITELLM_MODE | Operating mode for LiteLLM (e.g., production, development) -| LITELLM_NON_ROOT | Flag to run LiteLLM in non-root mode for enhanced security in Docker containers -| LITELLM_RATE_LIMIT_WINDOW_SIZE | Rate limit window size for LiteLLM. Default is 60 -| LITELLM_REASONING_AUTO_SUMMARY | If set to "true", automatically enables detailed reasoning summaries (`summary: "detailed"`) for reasoning models across all translation paths (Anthropic adapter, Responses API, etc.). Default is "false" -| LITELLM_SALT_KEY | Salt key for encryption in LiteLLM -| LITELLM_SSL_CIPHERS | SSL/TLS cipher configuration for faster handshakes. Controls cipher suite preferences for OpenSSL connections. -| LITELLM_SECRET_AWS_KMS_LITELLM_LICENSE | AWS KMS encrypted license for LiteLLM -| LITELLM_TOKEN | Access token for LiteLLM integration -| LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES | When set to "true", routes OpenAI /v1/messages requests through chat/completions instead of the Responses API for Anthropic models. Can also be set via `litellm_settings.use_chat_completions_url_for_anthropic_messages` -| LITELLM_USER_AGENT | Custom user agent string for LiteLLM API requests. Used for partner telemetry attribution -| LITELLM_WORKER_STARTUP_HOOKS | Comma-separated list of `module.path:function_name` callables to run in each worker process during startup. Runs early in the worker lifecycle (before config/DB loading). Useful for re-initializing per-process state like [gflags](https://github.com/google/python-gflags). See [Worker Startup Hooks](/proxy/worker_startup_hooks) for details -| LITELLM_PRINT_STANDARD_LOGGING_PAYLOAD | If true, prints the standard logging payload to the console - useful for debugging -| LITELM_ENVIRONMENT | Environment for LiteLLM Instance. This is currently only logged to DeepEval to determine the environment for DeepEval integration. -| LITELLM_ASYNCIO_QUEUE_MAXSIZE | Maximum size for asyncio queues (e.g. log queues, spend update queues, and cookbook examples such as realtime audio in `nova_sonic_realtime.py`). Bounds in-memory growth to prevent OOM. Default is 1000. -| LOGFIRE_TOKEN | Token for Logfire logging service -| LOGFIRE_BASE_URL | Base URL for Logfire logging service (useful for self hosted deployments) -| LOGGING_WORKER_CONCURRENCY | Maximum number of concurrent coroutine slots for the logging worker on the asyncio event loop. Default is 100. Setting too high will flood the event loop with logging tasks which will lower the overall latency of the requests. -| LOGGING_WORKER_MAX_QUEUE_SIZE | Maximum size of the logging worker queue. When the queue is full, the worker aggressively clears tasks to make room instead of dropping logs. Default is 50,000 -| LOGGING_WORKER_MAX_TIME_PER_COROUTINE | Maximum time in seconds allowed for each coroutine in the logging worker before timing out. Default is 20.0 -| LOGGING_WORKER_CLEAR_PERCENTAGE | Percentage of the queue to extract when clearing. Default is 50% -| MAX_BASE64_LENGTH_FOR_LOGGING | Maximum number of base64 characters to keep in logging payloads. Data URIs exceeding this are replaced with a size placeholder. Set to 0 to disable truncation. Default is 64 -| MAX_COMPETITOR_NAMES | Maximum number of competitor names allowed in policy template enrichment. Default is 100 -| MAX_EXCEPTION_MESSAGE_LENGTH | Maximum length for exception messages. Default is 2000 -| MAX_ITERATIONS_TO_CLEAR_QUEUE | Maximum number of iterations to attempt when clearing the logging worker queue during shutdown. Default is 200 -| MAX_TIME_TO_CLEAR_QUEUE | Maximum time in seconds to spend clearing the logging worker queue during shutdown. Default is 5.0 -| LOGGING_WORKER_AGGRESSIVE_CLEAR_COOLDOWN_SECONDS | Cooldown time in seconds before allowing another aggressive clear operation when the queue is full. Default is 0.5 -| MAX_STRING_LENGTH_PROMPT_IN_DB | Maximum length for strings in spend logs when sanitizing request bodies. Strings longer than this will be truncated. Default is 1000 -| MAX_IN_MEMORY_QUEUE_FLUSH_COUNT | Maximum count for in-memory queue flush operations. Default is 1000 -| MAX_IMAGE_URL_DOWNLOAD_SIZE_MB | Maximum size in MB for downloading images from URLs. Prevents memory issues from downloading very large images. Images exceeding this limit will be rejected before download. Set to 0 to completely disable image URL handling (all image_url requests will be blocked). Default is 50MB (matching [OpenAI's limit](https://platform.openai.com/docs/guides/images-vision?api-mode=chat#image-input-requirements)) -| MAX_LONG_SIDE_FOR_IMAGE_HIGH_RES | Maximum length for the long side of high-resolution images. Default is 2000 -| MAX_REDIS_BUFFER_DEQUEUE_COUNT | Maximum count for Redis buffer dequeue operations. Default is 100 -| MAX_SHORT_SIDE_FOR_IMAGE_HIGH_RES | Maximum length for the short side of high-resolution images. Default is 768 -| MAX_SIZE_IN_MEMORY_QUEUE | Maximum size for in-memory queue. Default is 10000 -| MAX_SIZE_PER_ITEM_IN_MEMORY_CACHE_IN_KB | Maximum size in KB for each item in memory cache. Default is 512 or 1024 -| MAX_SPENDLOG_ROWS_TO_QUERY | Maximum number of spend log rows to query. Default is 1,000,000 -| MAX_TEAM_LIST_LIMIT | Maximum number of teams to list. Default is 20 -| MAX_TILE_HEIGHT | Maximum height for image tiles. Default is 512 -| MAX_TILE_WIDTH | Maximum width for image tiles. Default is 512 -| MAX_TOKEN_TRIMMING_ATTEMPTS | Maximum number of attempts to trim a token message. Default is 10 -| MAXIMUM_TRACEBACK_LINES_TO_LOG | Maximum number of lines to log in traceback in LiteLLM Logs UI. Default is 100 -| MAX_RETRY_DELAY | Maximum delay in seconds for retrying requests. Default is 8.0 -| MAX_LANGFUSE_INITIALIZED_CLIENTS | Maximum number of Langfuse clients to initialize on proxy. Default is 50. This is set since langfuse initializes 1 thread everytime a client is initialized. We've had an incident in the past where we reached 100% cpu utilization because Langfuse was initialized several times. -| MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH | Maximum header length for MCP semantic filter tools. Default is 150 -| MAX_POLICY_ESTIMATE_IMPACT_ROWS | Maximum number of rows returned when estimating the impact of a policy. Default is 1000 -| MAX_PAYLOAD_SIZE_FOR_DEBUG_LOG | Maximum payload size in bytes for full DEBUG serialization. Payloads exceeding this will be truncated in logs. Default is 102400 (100 KB) -| MIN_NON_ZERO_TEMPERATURE | Minimum non-zero temperature value. Default is 0.0001 -| MINIMUM_PROMPT_CACHE_TOKEN_COUNT | Minimum token count for caching a prompt. Default is 1024 -| MISTRAL_API_BASE | Base URL for Mistral API. Default is https://api.mistral.ai -| MISTRAL_API_KEY | API key for Mistral API -| MICROSOFT_AUTHORIZATION_ENDPOINT | Custom authorization endpoint URL for Microsoft SSO (overrides default Microsoft OAuth authorization endpoint) -| MICROSOFT_CLIENT_ID | Client ID for Microsoft services -| MICROSOFT_CLIENT_SECRET | Client secret for Microsoft services -| MICROSOFT_SERVICE_PRINCIPAL_ID | Service Principal ID for Microsoft Enterprise Application. (This is an advanced feature if you want litellm to auto-assign members to Litellm Teams based on their Microsoft Entra ID Groups) -| MICROSOFT_TENANT | Tenant ID for Microsoft Azure -| MICROSOFT_TOKEN_ENDPOINT | Custom token endpoint URL for Microsoft SSO (overrides default Microsoft OAuth token endpoint) -| MICROSOFT_USER_DISPLAY_NAME_ATTRIBUTE | Field name for user display name in Microsoft SSO response. Default is `displayName` -| MICROSOFT_USER_EMAIL_ATTRIBUTE | Field name for user email in Microsoft SSO response. Default is `userPrincipalName` -| MICROSOFT_USER_FIRST_NAME_ATTRIBUTE | Field name for user first name in Microsoft SSO response. Default is `givenName` -| MICROSOFT_USER_ID_ATTRIBUTE | Field name for user ID in Microsoft SSO response. Default is `id` -| MICROSOFT_USER_LAST_NAME_ATTRIBUTE | Field name for user last name in Microsoft SSO response. Default is `surname` -| MICROSOFT_USERINFO_ENDPOINT | Custom userinfo endpoint URL for Microsoft SSO (overrides default Microsoft Graph userinfo endpoint) -| MODEL_COST_MAP_MAX_SHRINK_RATIO | Maximum allowed shrinkage ratio when validating a fetched model cost map against the local backup. Rejects the fetched map if it is smaller than this fraction of the backup. Default is 0.5 -| MODEL_COST_MAP_MIN_MODEL_COUNT | Minimum number of models a fetched cost map must contain to be considered valid. Default is 50 -| NO_DOCS | Flag to disable Swagger UI documentation -| NO_OPENAPI | Flag to disable the /openapi.json endpoint -| NO_REDOC | Flag to disable Redoc documentation -| NO_PROXY | List of addresses to bypass proxy -| NON_LLM_CONNECTION_TIMEOUT | Timeout in seconds for non-LLM service connections. Default is 15 -| OAUTH_TOKEN_INFO_ENDPOINT | Endpoint for OAuth token info retrieval -| OPENAI_BASE_URL | Base URL for OpenAI API -| OPENAI_API_BASE | Base URL for OpenAI API. Default is https://api.openai.com/ -| OPENAI_API_KEY | API key for OpenAI services -| OPENAI_CHATGPT_API_BASE | Alternative to CHATGPT_API_BASE. Base URL for ChatGPT API -| OPENAI_FILE_SEARCH_COST_PER_1K_CALLS | Cost per 1000 calls for OpenAI file search. Default is 0.0025 -| OPENAI_ORGANIZATION | Organization identifier for OpenAI -| OPENAPI_URL | The path to the OpenAPI JSON endpoint. **By default this is "/openapi.json"** -| OPENID_BASE_URL | Base URL for OpenID Connect services -| OPENID_CLIENT_ID | Client ID for OpenID Connect authentication -| OPENID_CLIENT_SECRET | Client secret for OpenID Connect authentication -| OPENMETER_API_ENDPOINT | API endpoint for OpenMeter integration -| OPENMETER_API_KEY | API key for OpenMeter services -| OPENMETER_EVENT_TYPE | Type of events sent to OpenMeter -| ONYX_API_BASE | Base URL for Onyx Security AI Guard service (defaults to https://ai-guard.onyx.security) -| ONYX_API_KEY | API key for Onyx Security AI Guard service -| ONYX_TIMEOUT | Timeout in seconds for Onyx Guard server requests. Default is 10 -| OTEL_ENDPOINT | OpenTelemetry endpoint for traces -| OTEL_EXPORTER_OTLP_ENDPOINT | OpenTelemetry endpoint for traces -| OTEL_ENVIRONMENT_NAME | Environment name for OpenTelemetry -| OTEL_EXPORTER | Exporter type for OpenTelemetry -| OTEL_EXPORTER_OTLP_PROTOCOL | Exporter type for OpenTelemetry -| OTEL_HEADERS | Headers for OpenTelemetry requests -| OTEL_MODEL_ID | Model ID for OpenTelemetry tracing -| OTEL_EXPORTER_OTLP_HEADERS | Headers for OpenTelemetry requests -| OTEL_SERVICE_NAME | Service name identifier for OpenTelemetry -| OTEL_TRACER_NAME | Tracer name for OpenTelemetry tracing -| OTEL_LOGS_EXPORTER | Exporter type for OpenTelemetry logs (e.g., console) -| OTEL_IGNORE_CONTEXT_PROPAGATION | When true, ignore parent span context propagation in OpenTelemetry callbacks -| PAGERDUTY_API_KEY | API key for PagerDuty Alerting -| PANW_PRISMA_AIRS_API_KEY | API key for PANW Prisma AIRS service -| PANW_PRISMA_AIRS_API_BASE | Base URL for PANW Prisma AIRS service -| PHOENIX_API_KEY | API key for Arize Phoenix -| PHOENIX_COLLECTOR_ENDPOINT | API endpoint for Arize Phoenix -| PHOENIX_COLLECTOR_HTTP_ENDPOINT | API http endpoint for Arize Phoenix -| PILLAR_API_BASE | Base URL for Pillar API Guardrails -| PILLAR_API_KEY | API key for Pillar API Guardrails -| PILLAR_ON_FLAGGED_ACTION | Action to take when content is flagged ('block' or 'monitor') -| PKCE_STRICT_CACHE_MISS | When set to `true`, the SSO callback will return a 401 error if the PKCE code_verifier is not found in the cache (e.g. due to a cache miss across pods). When `false` (default), it logs a warning and continues without the code_verifier. -| POD_NAME | Pod name for the server, this will be [emitted to `datadog` logs](https://docs.litellm.ai/docs/proxy/logging#datadog) as `POD_NAME` -| POSTHOG_API_KEY | API key for PostHog analytics integration -| POSTHOG_API_URL | Base URL for PostHog API (defaults to https://us.i.posthog.com) -| POSTHOG_MOCK | Enable mock mode for PostHog integration testing. When set to true, intercepts PostHog API calls and returns mock responses without making actual network calls. Default is false -| POSTHOG_MOCK_LATENCY_MS | Mock latency in milliseconds for PostHog API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms -| PRISMA_AUTH_RECONNECT_LOCK_TIMEOUT_SECONDS | Lock timeout in seconds for Prisma auth reconnection. Default is 0.1 -| PRISMA_AUTH_RECONNECT_TIMEOUT_SECONDS | Timeout in seconds for Prisma auth reconnection attempts. Default is 2.0 -| PRISMA_HEALTH_WATCHDOG_ENABLED | Enable the Prisma DB health watchdog that monitors and reconnects on connection loss. Default is true -| PRISMA_HEALTH_WATCHDOG_INTERVAL_SECONDS | Interval in seconds for Prisma health watchdog probes. Default is 30 -| PRISMA_HEALTH_WATCHDOG_PROBE_TIMEOUT_SECONDS | Timeout in seconds for each Prisma health probe. Default is 5.0 -| PRISMA_RECONNECT_COOLDOWN_SECONDS | Cooldown in seconds between Prisma reconnection attempts. Default is 15 -| PRISMA_RECONNECT_ESCALATION_THRESHOLD | Number of consecutive reconnect failures before escalating the reconnection strategy. Default is 3 -| PRISMA_WATCHDOG_RECONNECT_TIMEOUT_SECONDS | Timeout in seconds for Prisma watchdog-initiated reconnection. Default is 30.0 -| PREDIBASE_API_BASE | Base URL for Predibase API -| PRESIDIO_ANALYZER_API_BASE | Base URL for Presidio Analyzer service -| PRESIDIO_ANONYMIZER_API_BASE | Base URL for Presidio Anonymizer service -| PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES | Refresh interval in minutes for Prometheus budget metrics. Default is 5 -| PROMETHEUS_FALLBACK_STATS_SEND_TIME_HOURS | Fallback time in hours for sending stats to Prometheus. Default is 9 -| PROMETHEUS_URL | URL for Prometheus service -| PROMPTLAYER_API_KEY | API key for PromptLayer integration -| PROXY_ADMIN_ID | Admin identifier for proxy server -| PROXY_BASE_URL | Base URL for proxy service -| PROXY_BATCH_WRITE_AT | Time in seconds to wait before batch writing spend logs to the database. Default is 10 -| PROXY_BATCH_POLLING_INTERVAL | Time in seconds to wait before polling a batch, to check if it's completed. Default is 6000s (1 hour) -| PROXY_BATCH_POLLING_ENABLED | Set to `false` to disable the `CheckBatchCost` and `CheckResponsesCost` background polling jobs entirely. Useful for emergency mitigation on installs with large numbers of stale managed objects. Default is `true` -| MAX_OBJECTS_PER_POLL_CYCLE | Maximum number of managed objects (batches / responses) fetched per polling cycle. Prevents OOM on installs with many stale rows. Default is `50` -| MANAGED_OBJECT_STALENESS_CUTOFF_DAYS | Managed objects older than this many days in a non-terminal state are marked `stale_expired` at the start of each poll cycle and skipped. Default is `7` -| PROXY_BUDGET_RESCHEDULER_MAX_TIME | Maximum time in seconds to wait before checking database for budget resets. Default is 605 -| PROXY_BUDGET_RESCHEDULER_MIN_TIME | Minimum time in seconds to wait before checking database for budget resets. Default is 597 -| PYTHON_GC_THRESHOLD | GC thresholds ('gen0,gen1,gen2', e.g. '1000,50,50'); defaults to Python’s values. -| PROXY_LOGOUT_URL | URL for logging out of the proxy service -| QDRANT_API_BASE | Base URL for Qdrant API -| QDRANT_API_KEY | API key for Qdrant service -| QDRANT_SCALAR_QUANTILE | Scalar quantile for Qdrant operations. Default is 0.99 -| QDRANT_URL | Connection URL for Qdrant database -| QDRANT_VECTOR_SIZE | Vector size for Qdrant operations. Default is 1536 -| REDIS_CONNECTION_POOL_TIMEOUT | Timeout in seconds for Redis connection pool. Default is 5 -| REDIS_CIRCUIT_BREAKER_FAILURE_THRESHOLD | Number of consecutive failures before the Redis circuit breaker opens. Default is 5 -| REDIS_CIRCUIT_BREAKER_RECOVERY_TIMEOUT | Time in seconds before the Redis circuit breaker attempts recovery after opening. Default is 60 -| REDIS_CLUSTER_NODES | JSON-formatted list of Redis cluster startup nodes for Redis Cluster mode. Example: `[{"host": "node1", "port": 6379}]` -| REDIS_HOST | Hostname for Redis server -| REDIS_PASSWORD | Password for Redis service -| REDIS_PORT | Port number for Redis server -| REDIS_SOCKET_TIMEOUT | Timeout in seconds for Redis socket operations. Default is 0.1 -| REDIS_GCP_SERVICE_ACCOUNT | GCP service account for IAM authentication with Redis. Format: "projects/-/serviceAccounts/name@project.iam.gserviceaccount.com" -| REDIS_GCP_SSL_CA_CERTS | Path to SSL CA certificate file for secure GCP Memorystore Redis connections -| REDOC_URL | The path to the Redoc Fast API documentation. **By default this is "/redoc"** -| REPEATED_STREAMING_CHUNK_LIMIT | Limit for repeated streaming chunks to detect looping. Default is 100 -| REALTIME_WEBSOCKET_MAX_MESSAGE_SIZE_BYTES | Maximum size in bytes for WebSocket messages in realtime connections. Default is None. -| REPLICATE_MODEL_NAME_WITH_ID_LENGTH | Length of Replicate model names with ID. Default is 64 -| REPLICATE_POLLING_DELAY_SECONDS | Delay in seconds for Replicate polling operations. Default is 0.5 -| REQUEST_TIMEOUT | Timeout in seconds for requests. Default is 6000 -| ROOT_REDIRECT_URL | URL to redirect root path (/) to when DOCS_URL is set to something other than "/" (DOCS_URL is "/" by default) -| ROUTER_MAX_FALLBACKS | Maximum number of fallbacks for router. Default is 5 -| RUNWAYML_DEFAULT_API_VERSION | Default API version for RunwayML service. Default is "2024-11-06" -| RUNWAYML_POLLING_TIMEOUT | Timeout in seconds for RunwayML image generation polling. Default is 600 (10 minutes) -| S3_VECTORS_DEFAULT_DIMENSION | Default vector dimension for S3 Vectors RAG ingestion. Default is 1024 -| S3_VECTORS_DEFAULT_DISTANCE_METRIC | Default distance metric for S3 Vectors RAG ingestion. Options: "cosine", "euclidean". Default is "cosine" -| SECRET_MANAGER_REFRESH_INTERVAL | Refresh interval in seconds for secret manager. Default is 86400 (24 hours) -| SEPARATE_HEALTH_APP | If set to '1', runs health endpoints on a separate ASGI app and port. Default: '0'. -| SEPARATE_HEALTH_PORT | Port for the separate health endpoints app. Only used if SEPARATE_HEALTH_APP=1. Default: 4001. -| SUPERVISORD_STOPWAITSECS | Upper bound timeout in seconds for graceful shutdown when SEPARATE_HEALTH_APP=1. Default: 3600 (1 hour). -| SERVER_ROOT_PATH | Root path for the server application -| SEND_USER_API_KEY_ALIAS | Flag to send user API key alias to Zscaler AI Guard. Default is False -| SEND_USER_API_KEY_TEAM_ID | Flag to send user API key team ID to Zscaler AI Guard. Default is False -| SEND_USER_API_KEY_USER_ID | Flag to send user API key user ID to Zscaler AI Guard. Default is False -| SET_VERBOSE | [DEPRECATED] Use `LITELLM_LOG` instead with values "INFO", "DEBUG", or "ERROR". See [debugging docs](./debugging) -| SINGLE_DEPLOYMENT_TRAFFIC_FAILURE_THRESHOLD | Minimum number of requests to consider "reasonable traffic" for single-deployment cooldown logic. Default is 1000 -| SLACK_DAILY_REPORT_FREQUENCY | Frequency of daily Slack reports (e.g., daily, weekly) -| SLACK_WEBHOOK_URL | Webhook URL for Slack integration -| SMTP_HOST | Hostname for the SMTP server -| SMTP_PASSWORD | Password for SMTP authentication (do not set if SMTP does not require auth) -| SMTP_PORT | Port number for SMTP server -| SMTP_SENDER_EMAIL | Email address used as the sender in SMTP transactions -| SMTP_SENDER_LOGO | Logo used in emails sent via SMTP -| SMTP_TLS | Flag to enable or disable TLS for SMTP connections -| SMTP_USERNAME | Username for SMTP authentication (do not set if SMTP does not require auth) -| SENDGRID_API_KEY | API key for SendGrid email service -| RESEND_API_KEY | API key for Resend email service -| SENDGRID_SENDER_EMAIL | Email address used as the sender in SendGrid email transactions -| SPEND_LOGS_URL | URL for retrieving spend logs -| SPEND_LOG_CLEANUP_BATCH_SIZE | Number of logs deleted per batch during cleanup. Default is 1000 -| STALE_OBJECT_CLEANUP_BATCH_SIZE | Max number of stale managed objects updated per cleanup cycle. Default is 1000 -| SSL_CERTIFICATE | Path to the SSL certificate file -| SSL_ECDH_CURVE | ECDH curve for SSL/TLS key exchange (e.g., 'X25519' to disable PQC). -| SSL_SECURITY_LEVEL | [BETA] Security level for SSL/TLS connections. E.g. `DEFAULT@SECLEVEL=1` -| SSL_VERIFY | Flag to enable or disable SSL certificate verification -| SSL_CERT_FILE | Path to the SSL certificate file for custom CA bundle -| SUPABASE_KEY | API key for Supabase service -| SUPABASE_URL | Base URL for Supabase instance -| STORE_MODEL_IN_DB | If true, enables storing model + credential information in the DB. -| SYSTEM_MESSAGE_TOKEN_COUNT | Token count for system messages. Default is 4 -| TEST_EMAIL_ADDRESS | Email address used for testing purposes -| TOGETHER_AI_4_B | Size parameter for Together AI 4B model. Default is 4 -| TOGETHER_AI_8_B | Size parameter for Together AI 8B model. Default is 8 -| TOGETHER_AI_21_B | Size parameter for Together AI 21B model. Default is 21 -| TOGETHER_AI_41_B | Size parameter for Together AI 41B model. Default is 41 -| TOGETHER_AI_80_B | Size parameter for Together AI 80B model. Default is 80 -| TOGETHER_AI_110_B | Size parameter for Together AI 110B model. Default is 110 -| TOGETHER_AI_EMBEDDING_150_M | Size parameter for Together AI 150M embedding model. Default is 150 -| TOGETHER_AI_EMBEDDING_350_M | Size parameter for Together AI 350M embedding model. Default is 350 -| TOOL_CHOICE_OBJECT_TOKEN_COUNT | Token count for tool choice objects. Default is 4 -| TOOL_POLICY_CACHE_TTL_SECONDS | TTL in seconds for caching tool policy guardrail results. Default is 60 -| UI_LOGO_PATH | Path to the logo image used in the UI -| UI_PASSWORD | Password for accessing the UI -| UI_USERNAME | Username for accessing the UI -| UPSTREAM_LANGFUSE_DEBUG | Flag to enable debugging for upstream Langfuse -| UPSTREAM_LANGFUSE_HOST | Host URL for upstream Langfuse service -| UPSTREAM_LANGFUSE_PUBLIC_KEY | Public key for upstream Langfuse authentication -| UPSTREAM_LANGFUSE_RELEASE | Release version identifier for upstream Langfuse -| UPSTREAM_LANGFUSE_SECRET_KEY | Secret key for upstream Langfuse authentication -| USE_AWS_KMS | Flag to enable AWS Key Management Service for encryption -| USE_PRISMA_MIGRATE | Flag to use prisma migrate instead of prisma db push. Recommended for production environments. -| VANTAGE_API_KEY | API key for Vantage cost-import integration -| VANTAGE_BASE_URL | Base URL for Vantage API. Default is `https://api.vantage.sh` -| VANTAGE_EXPORT_FREQUENCY | Export frequency for Vantage — `hourly` (default), `daily`, or `interval` -| VANTAGE_EXPORT_INTERVAL_SECONDS | Interval in seconds when VANTAGE_EXPORT_FREQUENCY is `interval` -| VANTAGE_INTEGRATION_TOKEN | Vantage integration token for the cost-import endpoint -| WANDB_API_KEY | API key for Weights & Biases (W&B) logging integration -| WANDB_HOST | Host URL for Weights & Biases (W&B) service -| WANDB_PROJECT_ID | Project ID for Weights & Biases (W&B) logging integration -| WEBHOOK_URL | URL for receiving webhooks from external services -| SPEND_LOG_RUN_LOOPS | Constant for setting how many runs of 1000 batch deletes should spend_log_cleanup task run -| SPEND_LOG_CLEANUP_BATCH_SIZE | Number of logs deleted per batch during cleanup. Default is 1000 -| SPEND_LOG_QUEUE_POLL_INTERVAL | Polling interval in seconds for spend log queue. Default is 2.0 -| SPEND_LOG_QUEUE_SIZE_THRESHOLD | Threshold for spend log queue size before processing. Default is 100 -| COROUTINE_CHECKER_MAX_SIZE_IN_MEMORY | Maximum size for CoroutineChecker in-memory cache. Default is 1000 -| DEFAULT_SHARED_HEALTH_CHECK_TTL | Time-to-live in seconds for cached health check results in shared health check mode. Default is 300 (5 minutes) -| DEFAULT_SHARED_HEALTH_CHECK_LOCK_TTL | Time-to-live in seconds for health check lock in shared health check mode. Default is 60 (1 minute) -| ZSCALER_AI_GUARD_API_KEY | API key for Zscaler AI Guard service -| ZSCALER_AI_GUARD_POLICY_ID | Policy ID for Zscaler AI Guard guardrails -| ZSCALER_AI_GUARD_URL | Base URL for Zscaler AI Guard API. Default is https://api.us1.zseclipse.net/v1/detection/execute-policy diff --git a/docs/my-website/docs/proxy/pyroscope_profiling.md b/docs/my-website/docs/proxy/pyroscope_profiling.md deleted file mode 100644 index ab6367903bb..00000000000 --- a/docs/my-website/docs/proxy/pyroscope_profiling.md +++ /dev/null @@ -1,57 +0,0 @@ -# Grafana Pyroscope CPU profiling - -LiteLLM proxy can send continuous CPU profiles to [Grafana Pyroscope](https://grafana.com/docs/pyroscope/latest/) when enabled via environment variables. This is optional and off by default. - -## Quick start - -1. **Install the optional dependency** (required only when enabling Pyroscope): - - ```bash - uv add pyroscope-io - ``` - - Or install the proxy extra: - - ```bash - uv add "litellm[proxy]" - ``` - -2. **Set environment variables** before starting the proxy: - - | Variable | Required | Description | - |----------|----------|-------------| - | `LITELLM_ENABLE_PYROSCOPE` | Yes (to enable) | Set to `true` to enable Pyroscope profiling. | - | `PYROSCOPE_APP_NAME` | Yes (when enabled) | Application name shown in the Pyroscope UI. | - | `PYROSCOPE_SERVER_ADDRESS` | Yes (when enabled) | Pyroscope server URL (e.g. `http://localhost:4040`). | - | `PYROSCOPE_SAMPLE_RATE` | No | Sample rate (integer). If unset, the pyroscope-io library default is used. | - | `PYROSCOPE_GRAFANA_USER` | No | Grafana Cloud Pyroscope user/tenant ID. Required when `PYROSCOPE_GRAFANA_API_TOKEN` is set. | - | `PYROSCOPE_GRAFANA_API_TOKEN` | No | Grafana Cloud API/access policy token. Used as the Pyroscope basic auth password. | - -3. **Start the proxy**; profiling will begin automatically when the proxy starts. - - ```bash - export LITELLM_ENABLE_PYROSCOPE=true - export PYROSCOPE_APP_NAME=litellm-proxy - export PYROSCOPE_SERVER_ADDRESS=http://localhost:4040 - litellm --config config.yaml - ``` - - For Grafana Cloud Pyroscope, use the Profiles endpoint as `PYROSCOPE_SERVER_ADDRESS` - and set the Grafana Cloud credentials: - - ```bash - export LITELLM_ENABLE_PYROSCOPE=true - export PYROSCOPE_APP_NAME=litellm-proxy - export PYROSCOPE_SERVER_ADDRESS=https://profiles-prod-.grafana.net - export PYROSCOPE_GRAFANA_USER= - export PYROSCOPE_GRAFANA_API_TOKEN= - litellm --config config.yaml - ``` - -4. **View profiles** in the Pyroscope (or Grafana) UI and select your `PYROSCOPE_APP_NAME`. - -## Notes - -- **Optional dependency**: `pyroscope-io` is an optional dependency. If it is not installed and `LITELLM_ENABLE_PYROSCOPE=true`, the proxy will log a warning and continue without profiling. -- **Platform support**: The `pyroscope-io` package uses a native extension and is not available on all platforms (e.g. Windows is excluded by the package). -- **Other settings**: See [Configuration settings](/proxy/config_settings) for all proxy environment variables. From 84fede37b4f6d4a1eaf10939c53524e48a2dea08 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 20:05:53 +0000 Subject: [PATCH 054/160] fix(proxy): isolate managed resources for service-account API keys MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Service-account API keys are issued without a `user_id`, and managed file/batch/vector-store ownership checks compared `resource.created_by == user_api_key_dict.user_id`. Because Python evaluates `None == None` as True, any service-account key passed ownership checks for any resource also created without a user id, and listing endpoints skipped the `created_by` filter entirely when the caller had no user id — returning every tenant's records. Replace the bare equality with an identity-aware helper: - Admins (PROXY_ADMIN, PROXY_ADMIN_VIEW_ONLY) keep their unscoped view. - Callers with a `user_id` are scoped to records they created. - Callers without a `user_id` but with a `team_id` are scoped to records created within their team via a new `created_by_team_id` column. - Callers with no admin role and no identifying ids are denied — the listing path returns an empty page without issuing a query. Schema migration adds `created_by_team_id` to LiteLLM_ManagedFileTable, LiteLLM_ManagedObjectTable, and LiteLLM_ManagedVectorStoreTable, plus indexes for the new filter. Writes in BaseManagedResource and the enterprise managed_files hook now stamp the column from `user_api_key_dict.team_id`. Reads in `can_user_access_unified_resource_id`, `can_user_call_unified_file_id`, `can_user_call_unified_object_id`, `list_user_resources`, `list_user_batches`, and `get_user_created_file_ids` all delegate to the new helper. Tests cover the helper in isolation, the base-class listing/access paths, and the enterprise file-access hook (including a regression test for the original `None == None` bypass). Co-Authored-By: Claude Opus 4.7 (1M context) --- .../proxy/hooks/managed_files.py | 318 +++++++++++------- .../migration.sql | 18 + .../litellm_proxy_extras/schema.prisma | 16 +- .../base_managed_resource.py | 33 +- .../base_llm/managed_resources/isolation.py | 83 +++++ litellm/proxy/_types.py | 4 + litellm/proxy/schema.prisma | 16 +- schema.prisma | 16 +- .../proxy/test_managed_files_access_check.py | 69 +++- .../base_llm/test_base_managed_resource.py | 131 ++++++++ .../test_managed_resource_isolation.py | 148 ++++++++ 11 files changed, 693 insertions(+), 159 deletions(-) create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql create mode 100644 litellm/llms/base_llm/managed_resources/isolation.py create mode 100644 tests/test_litellm/llms/base_llm/test_base_managed_resource.py create mode 100644 tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index 60c564072a0..fe15e9b1329 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -15,6 +15,11 @@ from litellm.caching.caching import DualCache from litellm.integrations.custom_logger import CustomLogger from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data from litellm.llms.base_llm.files.transformation import BaseFileEndpoints +from litellm.llms.base_llm.managed_resources.isolation import ( + build_list_page, + build_owner_filter, + can_access_resource, +) from litellm.proxy._types import ( CallTypes, LiteLLM_ManagedFileTable, @@ -99,6 +104,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_mappings=model_mappings, flat_model_file_ids=list(model_mappings.values()), created_by=user_api_key_dict.user_id, + created_by_team_id=user_api_key_dict.team_id, updated_by=user_api_key_dict.user_id, ) await self.internal_usage_cache.async_set_cache( @@ -114,6 +120,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): "model_mappings": json.dumps(model_mappings), "flat_model_file_ids": list(model_mappings.values()), "created_by": user_api_key_dict.user_id, + "created_by_team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, } @@ -125,7 +132,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): db_data["storage_backend"] = hidden_params["storage_backend"] if "storage_url" in hidden_params: db_data["storage_url"] = hidden_params["storage_url"] - + verbose_logger.debug( f"Storage metadata: storage_backend={db_data.get('storage_backend')}, " f"storage_url={db_data.get('storage_url')}" @@ -171,6 +178,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): "model_object_id": model_object_id, "file_purpose": file_purpose, "created_by": user_api_key_dict.user_id, + "created_by_team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, "status": file_object.status, }, @@ -229,15 +237,16 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): async def can_user_call_unified_file_id( self, unified_file_id: str, user_api_key_dict: UserAPIKeyAuth ) -> bool: - ## check if the user has access to the unified file id - - user_id = user_api_key_dict.user_id managed_file = await self.prisma_client.db.litellm_managedfiletable.find_first( where={"unified_file_id": unified_file_id} ) if managed_file: - return managed_file.created_by == user_id + return can_access_resource( + user_api_key_dict=user_api_key_dict, + created_by=managed_file.created_by, + created_by_team_id=managed_file.created_by_team_id, + ) raise HTTPException( status_code=404, detail=f"File not found: {unified_file_id}", @@ -246,8 +255,6 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): async def can_user_call_unified_object_id( self, unified_object_id: str, user_api_key_dict: UserAPIKeyAuth ) -> bool: - ## check if the user has access to the unified object id - user_id = user_api_key_dict.user_id managed_object = ( await self.prisma_client.db.litellm_managedobjecttable.find_first( where={"unified_object_id": unified_object_id} @@ -255,7 +262,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) if managed_object: - return managed_object.created_by == user_id + return can_access_resource( + user_api_key_dict=user_api_key_dict, + created_by=managed_object.created_by, + created_by_team_id=managed_object.created_by_team_id, + ) raise HTTPException( status_code=404, detail=f"Object not found: {unified_object_id}", @@ -285,28 +296,27 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): raise Exception( "Filtering by 'target_model_names' is not supported when using managed batches." ) - - where_clause: Dict[str, Any] = {"file_purpose": "batch"} - - # Filter by user who created the batch - if user_api_key_dict.user_id: - where_clause["created_by"] = user_api_key_dict.user_id - + + owner_filter = build_owner_filter(user_api_key_dict) + if owner_filter is None: + return build_list_page([]) + + where_clause: Dict[str, Any] = {"file_purpose": "batch", **owner_filter} + if after: where_clause["id"] = {"gt": after} - - # Fetch more than needed to allow for post-fetch filtering + fetch_limit = limit or 20 if target_model_names: - # Fetch extra to account for filtering + # Oversample so post-fetch model-name filtering still has enough rows. fetch_limit = max(fetch_limit * 3, 100) - + batches = await self.prisma_client.db.litellm_managedobjecttable.find_many( where=where_clause, take=fetch_limit, order={"created_at": "desc"}, ) - + batch_objects: List[LiteLLMBatch] = [] for batch in batches: try: @@ -314,7 +324,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if len(batch_objects) >= (limit or 20): break - batch_data = json.loads(batch.file_object) if isinstance(batch.file_object, str) else batch.file_object + batch_data = ( + json.loads(batch.file_object) + if isinstance(batch.file_object, str) + else batch.file_object + ) batch_obj = LiteLLMBatch(**batch_data) batch_obj.id = batch.unified_object_id batch_objects.append(batch_obj) @@ -324,27 +338,29 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): f"Failed to parse batch object {batch.unified_object_id}: {e}" ) continue - - return { - "object": "list", - "data": batch_objects, - "first_id": batch_objects[0].id if batch_objects else None, - "last_id": batch_objects[-1].id if batch_objects else None, - "has_more": len(batch_objects) == (limit or 20), - } + + return build_list_page( + batch_objects, has_more=len(batch_objects) == (limit or 20) + ) async def get_user_created_file_ids( self, user_api_key_dict: UserAPIKeyAuth, model_object_ids: List[str] ) -> List[OpenAIFileObject]: """ - Get all file ids created by the user for a list of model object ids + Get all file ids the caller is allowed to see for a list of model + object ids. Service-account keys (no user_id) are scoped to their + team via ``created_by_team_id``; admins see all matches. Returns: - List of OpenAIFileObject's """ + owner_filter = build_owner_filter(user_api_key_dict) + if owner_filter is None: + return [] + file_ids = await self.prisma_client.db.litellm_managedfiletable.find_many( where={ - "created_by": user_api_key_dict.user_id, + **owner_filter, "flat_model_file_ids": {"hasSome": model_object_ids}, } ) @@ -377,11 +393,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): """ Check if the user has access to a list of file IDs. Only checks managed (unified) file IDs. - + Args: file_ids: List of file IDs to check access for user_api_key_dict: User API key authentication details - + Raises: HTTPException: If user doesn't have access to any of the files """ @@ -419,10 +435,10 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ### HANDLE TRANSFORMATIONS ### # Check both completion and acompletion call types is_completion_call = ( - call_type == CallTypes.completion.value + call_type == CallTypes.completion.value or call_type == CallTypes.acompletion.value ) - + if is_completion_call: messages = data.get("messages") model = data.get("model", "") @@ -431,22 +447,27 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if file_ids: # Check user has access to all managed files await self.check_file_ids_access(file_ids, user_api_key_dict) - + # Check if any files are stored in storage backends and need base64 conversion # This is needed for Vertex AI/Gemini which requires base64 content - is_vertex_ai = model and ("vertex_ai" in model or "gemini" in model.lower()) + is_vertex_ai = model and ( + "vertex_ai" in model or "gemini" in model.lower() + ) if is_vertex_ai: await self._convert_storage_files_to_base64( messages=messages, file_ids=file_ids, litellm_parent_otel_span=user_api_key_dict.parent_otel_span, ) - + model_file_id_mapping = await self.get_model_file_id_mapping( file_ids, user_api_key_dict.parent_otel_span ) data["model_file_id_mapping"] = model_file_id_mapping - elif call_type == CallTypes.aresponses.value or call_type == CallTypes.responses.value: + elif ( + call_type == CallTypes.aresponses.value + or call_type == CallTypes.responses.value + ): # Handle managed files in responses API input and tools file_ids = [] @@ -611,7 +632,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if model_id is None: model_id = cast( Optional[str], - kwargs.get("litellm_metadata", {}).get("model_info", {}).get("id", None), + kwargs.get("litellm_metadata", {}) + .get("model_info", {}) + .get("id", None), ) mapped_file_id: Optional[str] = None if input_file_id and model_file_id_mapping and model_id: @@ -648,7 +671,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) -> List[str]: """ Gets file ids from responses API input. - + The input can be: - A string (no files) - A list of input items, where each item can have: @@ -656,32 +679,35 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): - content: a list that can contain items with type: "input_file" and file_id """ file_ids: List[str] = [] - + if isinstance(input, str): return file_ids - + if not isinstance(input, list): return file_ids - + for item in input: if not isinstance(item, dict): continue - + # Check for direct input_file type if item.get("type") == "input_file": file_id = item.get("file_id") if file_id: file_ids.append(file_id) - + # Check for input_file in content array content = item.get("content") if isinstance(content, list): for content_item in content: - if isinstance(content_item, dict) and content_item.get("type") == "input_file": + if ( + isinstance(content_item, dict) + and content_item.get("type") == "input_file" + ): file_id = content_item.get("file_id") if file_id: file_ids.append(file_id) - + return file_ids def get_file_ids_from_responses_tools( @@ -689,7 +715,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) -> List[str]: """ Gets file ids from responses API tools parameter. - + The tools can contain code_interpreter with container.file_ids: [ { @@ -699,14 +725,14 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ] """ file_ids: List[str] = [] - + if not isinstance(tools, list): return file_ids - + for tool in tools: if not isinstance(tool, dict): continue - + # Check for code_interpreter with container file_ids if tool.get("type") == "code_interpreter": container = tool.get("container") @@ -716,7 +742,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): for file_id in container_file_ids: if isinstance(file_id, str): file_ids.append(file_id) - + return file_ids def get_vector_store_ids_from_file_search_tools( @@ -916,10 +942,17 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Emit Prometheus metrics for managed file creation prom_logger = self._get_prometheus_logger() if prom_logger: - first_model = target_model_names_list[0] if target_model_names_list else None + first_model = ( + target_model_names_list[0] if target_model_names_list else None + ) first_provider = "" if responses: - first_provider = getattr(responses[0], "_hidden_params", {}).get("custom_llm_provider") or "" + first_provider = ( + getattr(responses[0], "_hidden_params", {}).get( + "custom_llm_provider" + ) + or "" + ) prom_logger.record_managed_file_created( model=first_model or "", api_provider=first_provider, @@ -1073,16 +1106,24 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_name=resolved_model_name, ) setattr(response, file_attr, unified_file_id) - + # Use llm_router credentials when available. Without credentials, # Azure and other auth-required providers return 500/401. file_object = None try: # Import module and use getattr for better testability with mocks import litellm.proxy.proxy_server as proxy_server_module - _llm_router = getattr(proxy_server_module, 'llm_router', None) + + _llm_router = getattr( + proxy_server_module, "llm_router", None + ) if _llm_router is not None and model_id: - _creds = _llm_router.get_deployment_credentials_with_provider(model_id) or {} + _creds = ( + _llm_router.get_deployment_credentials_with_provider( + model_id + ) + or {} + ) file_object = await litellm.afile_retrieve( file_id=original_file_id, **_creds, @@ -1099,7 +1140,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): verbose_logger.warning( f"Failed to retrieve file object for {file_attr}={original_file_id}: {str(e)}. Storing with None and will fetch on-demand." ) - + await self.store_unified_file_id( file_id=unified_file_id, file_object=file_object, @@ -1128,6 +1169,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): from litellm.litellm_core_utils.get_llm_provider_logic import ( get_llm_provider, ) + _, batch_provider, _, _ = get_llm_provider(model=model_name) except Exception: if "/" in model_name: @@ -1199,7 +1241,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Case 1 : This is not a managed file if not stored_file_object: raise Exception(f"LiteLLM Managed File object with id={file_id} not found") - + # Case 2: Managed file and the file object exists in the database # The stored file_object has the raw provider ID. Replace with the unified ID # so callers see a consistent ID (matching Case 3 which does response.id = file_id). @@ -1217,13 +1259,21 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) try: - model_id, model_file_id = next(iter(stored_file_object.model_mappings.items())) - credentials = llm_router.get_deployment_credentials_with_provider(model_id) or {} - response = await litellm.afile_retrieve(file_id=model_file_id, **credentials) + model_id, model_file_id = next( + iter(stored_file_object.model_mappings.items()) + ) + credentials = ( + llm_router.get_deployment_credentials_with_provider(model_id) or {} + ) + response = await litellm.afile_retrieve( + file_id=model_file_id, **credentials + ) response.id = file_id # Replace with unified ID return response except Exception as e: - raise Exception(f"Failed to retrieve file {file_id} from provider: {str(e)}") from e + raise Exception( + f"Failed to retrieve file {file_id} from provider: {str(e)}" + ) from e async def afile_list( self, @@ -1245,19 +1295,19 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): import litellm.proxy.proxy_server as proxy_server_module # Check if the scheduler has the batch cost checking job registered - scheduler = getattr(proxy_server_module, 'scheduler', None) + scheduler = getattr(proxy_server_module, "scheduler", None) if scheduler is None: return False - + # Check if the check_batch_cost_job exists in the scheduler try: - job = scheduler.get_job('check_batch_cost_job') + job = scheduler.get_job("check_batch_cost_job") if job is not None: return True except Exception: # Job not found or scheduler doesn't support get_job pass - + return False except Exception as e: verbose_logger.warning( @@ -1265,28 +1315,26 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) return False - async def _get_batches_referencing_file( - self, file_id: str - ) -> List[Dict[str, Any]]: + async def _get_batches_referencing_file(self, file_id: str) -> List[Dict[str, Any]]: """ Find batches that reference this file and still need cost tracking. Find batches that are in non-terminal state and have not yet been processed by CheckBatchCost. Args: file_id: The unified file ID to check - + Returns: List of batch objects referencing this file in non-terminal state (max 10 for error message display) """ # Prepare list of file IDs to check (both unified and provider IDs) file_ids_to_check = [file_id] - + # Get model-specific file IDs for this unified file ID if it's a managed file try: model_file_id_mapping = await self.get_model_file_id_mapping( [file_id], litellm_parent_otel_span=None ) - + if model_file_id_mapping and file_id in model_file_id_mapping: # Add all provider file IDs for this unified file provider_file_ids = list(model_file_id_mapping[file_id].values()) @@ -1296,59 +1344,67 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): f"Could not get model file ID mapping for {file_id}: {e}. " f"Will only check unified file ID." ) - MAX_MATCHES_TO_RETURN = 10 - + MAX_MATCHES_TO_RETURN = 10 + batches = await self.prisma_client.db.litellm_managedobjecttable.find_many( where={ "file_purpose": "batch", "batch_processed": False, - "status": {"not_in": ["failed", "expired", "cancelled"]} + "status": {"not_in": ["failed", "expired", "cancelled"]}, }, take=MAX_MATCHES_TO_RETURN, order={"created_at": "desc"}, ) - + referencing_batches = [] for batch in batches: try: # Parse the batch file_object to check for file references - batch_data = json.loads(batch.file_object) if isinstance(batch.file_object, str) else batch.file_object - + batch_data = ( + json.loads(batch.file_object) + if isinstance(batch.file_object, str) + else batch.file_object + ) + # Extract file IDs from batch # Batches typically reference the unified file ID in input_file_id # Output and error files are generated by the provider input_file_id = batch_data.get("input_file_id") output_file_id = batch_data.get("output_file_id") error_file_id = batch_data.get("error_file_id") - - referenced_file_ids = [fid for fid in [input_file_id, output_file_id, error_file_id] if fid] - + + referenced_file_ids = [ + fid for fid in [input_file_id, output_file_id, error_file_id] if fid + ] + # Check if any referenced file ID matches the file we're trying to delete if any(ref_id in file_ids_to_check for ref_id in referenced_file_ids): - referencing_batches.append({ - "batch_id": batch.unified_object_id, - "status": batch.status, - "created_at": batch.created_at, - }) + referencing_batches.append( + { + "batch_id": batch.unified_object_id, + "status": batch.status, + "created_at": batch.created_at, + } + ) except Exception as e: verbose_logger.warning( f"Error parsing batch object {batch.unified_object_id}: {e}" ) continue - + return referencing_batches async def _check_file_deletion_allowed(self, file_id: str) -> None: """ Check if file deletion should be blocked due to batch references. - + Blocks deletion if: 1. File is referenced by any batch in non-terminal state, AND 2. Batch polling is configured (user wants cost tracking) - + Args: file_id: The unified file ID to check - + Raises: HTTPException: If file deletion should be blocked """ @@ -1356,39 +1412,45 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if not self._is_batch_polling_enabled(): # Batch polling not configured, allow deletion return - + # Check if file is referenced by any non-terminal batches referencing_batches = await self._get_batches_referencing_file(file_id) - + if referencing_batches: # File is referenced by non-terminal batches and polling is enabled - MAX_BATCHES_IN_ERROR = 5 # Limit batches shown in error message for readability - + MAX_BATCHES_IN_ERROR = ( + 5 # Limit batches shown in error message for readability + ) + # Show up to MAX_BATCHES_IN_ERROR in the error message batches_to_show = referencing_batches[:MAX_BATCHES_IN_ERROR] - batch_statuses = [f"{b['batch_id']}: {b['status']}" for b in batches_to_show] - + batch_statuses = [ + f"{b['batch_id']}: {b['status']}" for b in batches_to_show + ] + # Determine the count message count_message = f"{len(referencing_batches)}" - if len(referencing_batches) >= 10: # MAX_MATCHES_TO_RETURN from _get_batches_referencing_file + if ( + len(referencing_batches) >= 10 + ): # MAX_MATCHES_TO_RETURN from _get_batches_referencing_file count_message = "10+" - + error_message = ( f"Cannot delete file {file_id}. " f"The file is referenced by {count_message} batch(es) in non-terminal state" ) - + # Add specific batch details if not too many if len(referencing_batches) <= MAX_BATCHES_IN_ERROR: error_message += f": {', '.join(batch_statuses)}. " else: error_message += f" (showing {MAX_BATCHES_IN_ERROR} most recent): {', '.join(batch_statuses)}. " - + error_message += ( f"To delete this file before complete cost tracking, please delete or cancel the referencing batch(es) first. " f"Alternatively, wait for all batches to complete and for cost to be computed (batch_processed=true)." ) - + # Record blocked deletion metric prom_logger = self._get_prometheus_logger() if prom_logger: @@ -1419,7 +1481,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): specific_model_file_id_mapping = model_file_id_mapping.get(file_id) if specific_model_file_id_mapping: # Remove conflicting keys from data to avoid duplicate keyword arguments - filtered_data = {k: v for k, v in data.items() if k not in ("model", "file_id")} + filtered_data = { + k: v for k, v in data.items() if k not in ("model", "file_id") + } for model_id, model_file_id in specific_model_file_id_mapping.items(): delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **filtered_data) # type: ignore @@ -1480,7 +1544,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) -> None: """ Convert files stored in storage backends to base64 format for Vertex AI/Gemini. - + This method checks if any managed files are stored in storage backends, downloads them, and converts them to base64 format in the messages. """ @@ -1488,29 +1552,29 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): for file_id in file_ids: # Check if this is a base64 encoded unified file ID decoded_unified_file_id = _is_base64_encoded_unified_file_id(file_id) - + if not decoded_unified_file_id: continue - + # Check database for storage backend info # IMPORTANT: The database stores the base64 encoded unified_file_id (not the decoded version) # So we query with the original file_id (which is base64 encoded) db_file = await self.prisma_client.db.litellm_managedfiletable.find_first( where={"unified_file_id": file_id} ) - + if not db_file or not db_file.storage_backend or not db_file.storage_url: continue - + # File is stored in a storage backend, download and convert to base64 try: from litellm.llms.base_llm.files.storage_backend_factory import ( get_storage_backend, ) - + storage_backend_name = db_file.storage_backend storage_url = db_file.storage_url - + # Get storage backend (uses same env vars as callback) try: storage_backend = get_storage_backend(storage_backend_name) @@ -1519,18 +1583,22 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): f"Storage backend '{storage_backend_name}' error for file {file_id}: {str(e)}" ) continue - + file_content = await storage_backend.download_file(storage_url) - + # Determine content type from file object - content_type = self._get_content_type_from_file_object(db_file.file_object) - + content_type = self._get_content_type_from_file_object( + db_file.file_object + ) + # Convert to base64 base64_data = base64.b64encode(file_content).decode("utf-8") base64_data_uri = f"data:{content_type};base64,{base64_data}" - + # Update messages to use base64 instead of file_id - self._update_messages_with_base64_data(messages, file_id, base64_data_uri, content_type) + self._update_messages_with_base64_data( + messages, file_id, base64_data_uri, content_type + ) except Exception as e: verbose_logger.exception( f"Error converting file {file_id} from storage backend to base64: {str(e)}" @@ -1541,21 +1609,21 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): def _get_content_type_from_file_object(self, file_object: Optional[Any]) -> str: """ Determine content type from file object. - + Uses the MIME type utility for consistent detection and normalization. - + Args: file_object: The file object from the database (can be dict, JSON string, or None) - + Returns: str: MIME type (defaults to "application/octet-stream" if cannot be determined) """ # Use utility function for detection content_type = get_content_type_from_file_object(file_object) - + # Normalize for Gemini/Vertex AI (requires image/jpeg, not image/jpg) content_type = normalize_mime_type_for_provider(content_type, provider="gemini") - + return content_type def _update_messages_with_base64_data( @@ -1567,7 +1635,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) -> None: """ Update messages to replace file_id with base64 data URI. - + Args: messages: List of messages to update file_id: The file ID to replace @@ -1582,7 +1650,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if element.get("type") == "file": file_element = cast(ChatCompletionFileObject, element) file_element_file = file_element.get("file", {}) - + if file_element_file.get("file_id") == file_id: # Replace file_id with base64 data file_element_file["file_data"] = base64_data_uri @@ -1590,7 +1658,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_element_file["format"] = content_type # Remove file_id to ensure only file_data is used file_element_file.pop("file_id", None) - + verbose_logger.debug( f"Converted file {file_id} from storage backend to base64 with format {content_type}" ) diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql new file mode 100644 index 00000000000..9020f41fe85 --- /dev/null +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql @@ -0,0 +1,18 @@ +-- Adds `created_by_team_id` to managed-resource tables so service-account API +-- keys (no `user_id`) can be scoped by team instead of bypassing the +-- `created_by` filter entirely. Existing rows keep `created_by_team_id = NULL` +-- and become invisible to team-only callers — that is the intended isolation +-- outcome; backfill manually if legacy rows must remain visible. +-- +-- The composite indexes match the listing query: filter by team owner, sort by +-- created_at DESC. Tables are typically small (resources per tenant, not per +-- request); a future operator with a large table can switch to +-- CREATE INDEX CONCURRENTLY in a follow-up migration. + +ALTER TABLE "LiteLLM_ManagedFileTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; +ALTER TABLE "LiteLLM_ManagedObjectTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; +ALTER TABLE "LiteLLM_ManagedVectorStoreTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; + +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedFileTable_team_owner_created_at_idx" ON "LiteLLM_ManagedFileTable" ("created_by_team_id", "created_at" DESC); +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedObjectTable_team_owner_created_at_idx" ON "LiteLLM_ManagedObjectTable" ("created_by_team_id", "created_at" DESC); +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedVectorStoreTable_team_owner_created_at_idx" ON "LiteLLM_ManagedVectorStoreTable" ("created_by_team_id", "created_at" DESC); diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index a9d3911c07b..1f51ca4a224 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -884,28 +884,32 @@ model LiteLLM_ManagedFileTable { storage_backend String? // Storage backend name (e.g., "azure_storage", "gcs", "default") storage_url String? // The actual storage URL where the file is stored created_at DateTime @default(now()) - created_by String? + created_by String? + created_by_team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. updated_at DateTime @updatedAt updated_by String? @@index([unified_file_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } -model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the +model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the id String @id @default(uuid()) unified_object_id String @unique // The base64 encoded unified file ID - model_object_id String @unique // the id returned by the backend API provider + model_object_id String @unique // the id returned by the backend API provider file_object Json // Stores the OpenAIFileObject file_purpose String // either 'batch' or 'fine-tune' - status String? // check if batch cost has been tracked + status String? // check if batch cost has been tracked batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed created_at DateTime @default(now()) created_by String? + created_by_team_id String? updated_at DateTime @updatedAt - updated_by String? + updated_by String? @@index([unified_object_id]) @@index([model_object_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoreTable { @@ -918,10 +922,12 @@ model LiteLLM_ManagedVectorStoreTable { storage_url String? // Storage URL (if applicable) created_at DateTime @default(now()) created_by String? + created_by_team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_resource_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoresTable { diff --git a/litellm/llms/base_llm/managed_resources/base_managed_resource.py b/litellm/llms/base_llm/managed_resources/base_managed_resource.py index 5422af76780..29665f40851 100644 --- a/litellm/llms/base_llm/managed_resources/base_managed_resource.py +++ b/litellm/llms/base_llm/managed_resources/base_managed_resource.py @@ -18,6 +18,11 @@ from typing import ( ) from litellm import verbose_logger +from litellm.llms.base_llm.managed_resources.isolation import ( + build_list_page, + build_owner_filter, + can_access_resource, +) from litellm.proxy._types import UserAPIKeyAuth from litellm.types.utils import SpecialEnums @@ -169,6 +174,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): "model_mappings": model_mappings, "flat_model_resource_ids": list(model_mappings.values()), "created_by": user_api_key_dict.user_id, + "created_by_team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, } @@ -190,6 +196,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): "model_mappings": json.dumps(model_mappings), "flat_model_resource_ids": list(model_mappings.values()), "created_by": user_api_key_dict.user_id, + "created_by_team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, } @@ -316,15 +323,17 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): Returns: True if user has access, False otherwise """ - user_id = user_api_key_dict.user_id - # Use cached method instead of direct DB query resource = await self.get_unified_resource_id( unified_resource_id, litellm_parent_otel_span ) if resource: - return resource.get("created_by") == user_id + return can_access_resource( + user_api_key_dict=user_api_key_dict, + created_by=resource.get("created_by"), + created_by_team_id=resource.get("created_by_team_id"), + ) return False @@ -549,11 +558,11 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): Returns: Dictionary with list of resources and pagination info """ - where_clause: Dict[str, Any] = {} + owner_filter = build_owner_filter(user_api_key_dict) + if owner_filter is None: + return build_list_page([]) - # Filter by user who created the resource - if user_api_key_dict.user_id: - where_clause["created_by"] = user_api_key_dict.user_id + where_clause: Dict[str, Any] = {**owner_filter} if after: where_clause["id"] = {"gt": after} @@ -598,10 +607,6 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): ) continue - return { - "object": "list", - "data": resource_objects, - "first_id": resource_objects[0].id if resource_objects else None, - "last_id": resource_objects[-1].id if resource_objects else None, - "has_more": len(resource_objects) == (limit or 20), - } + return build_list_page( + resource_objects, has_more=len(resource_objects) == (limit or 20) + ) diff --git a/litellm/llms/base_llm/managed_resources/isolation.py b/litellm/llms/base_llm/managed_resources/isolation.py new file mode 100644 index 00000000000..dea7f1e23d0 --- /dev/null +++ b/litellm/llms/base_llm/managed_resources/isolation.py @@ -0,0 +1,83 @@ +""" +Tenant-isolation helpers for managed file/batch/vector-store resources. + +Returns a Prisma filter and an ownership check that scope managed resources +to the caller's identity: proxy admins see everything, user-keyed callers +see records they created, and service-account keys (no user_id) fall back +to the resource's owning team. Callers with no admin role and no +identifying ids are denied so an empty user_id can never select an +unscoped query. +""" + +from typing import Any, Dict, List, Optional + +from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.management_endpoints.common_utils import _user_has_admin_view + + +def build_list_page(items: List[Any], has_more: bool = False) -> Dict[str, Any]: + """Build the OpenAI-style paginated list response shape used by managed + file/batch/vector-store listings. ``first_id`` and ``last_id`` are + sourced from each item's ``.id`` attribute.""" + return { + "object": "list", + "data": items, + "first_id": items[0].id if items else None, + "last_id": items[-1].id if items else None, + "has_more": has_more, + } + + +def build_owner_filter( + user_api_key_dict: UserAPIKeyAuth, +) -> Optional[Dict[str, Any]]: + """Return a Prisma `where` fragment that scopes a managed-resource listing + to records the caller is allowed to see. + + - ``{}`` means no scoping (proxy admins). + - ``{"created_by": }`` for user-keyed callers. + - ``{"created_by_team_id": }`` for service-account callers + that have a team but no user_id. + - ``None`` means deny: callers MUST skip the query rather than fall + back to an unscoped fetch. + """ + if _user_has_admin_view(user_api_key_dict): + return {} + + if user_api_key_dict.user_id is not None: + return {"created_by": user_api_key_dict.user_id} + + if user_api_key_dict.team_id is not None: + return {"created_by_team_id": user_api_key_dict.team_id} + + return None + + +def can_access_resource( + user_api_key_dict: UserAPIKeyAuth, + created_by: Optional[str], + created_by_team_id: Optional[str], +) -> bool: + """Return True iff the caller may read/modify a managed resource. + + Both ``created_by`` and ``created_by_team_id`` must be non-None to + match the caller's identity — guarding against the ``None == None`` + bypass that previously let service-account keys read every keyless + resource. + """ + if _user_has_admin_view(user_api_key_dict): + return True + + user_id = user_api_key_dict.user_id + if user_id is not None and created_by is not None and created_by == user_id: + return True + + team_id = user_api_key_dict.team_id + if ( + team_id is not None + and created_by_team_id is not None + and created_by_team_id == team_id + ): + return True + + return False diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 85320996911..7adf40362d7 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -4539,6 +4539,7 @@ class LiteLLM_ManagedFileTable(LiteLLMPydanticObjectBase): model_mappings: Dict[str, str] flat_model_file_ids: List[str] created_by: Optional[str] = None + created_by_team_id: Optional[str] = None updated_by: Optional[str] = None storage_backend: Optional[str] = None storage_url: Optional[str] = None @@ -4549,6 +4550,8 @@ class LiteLLM_ManagedObjectTable(LiteLLMPydanticObjectBase): model_object_id: str file_purpose: Literal["batch", "fine-tune", "response"] file_object: Union[LiteLLMBatch, LiteLLMFineTuningJob, ResponsesAPIResponse] + created_by: Optional[str] = None + created_by_team_id: Optional[str] = None class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase): @@ -4559,6 +4562,7 @@ class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase): model_mappings: Dict[str, str] flat_model_resource_ids: List[str] created_by: Optional[str] = None + created_by_team_id: Optional[str] = None updated_by: Optional[str] = None storage_backend: Optional[str] = None storage_url: Optional[str] = None diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index a9d3911c07b..1f51ca4a224 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -884,28 +884,32 @@ model LiteLLM_ManagedFileTable { storage_backend String? // Storage backend name (e.g., "azure_storage", "gcs", "default") storage_url String? // The actual storage URL where the file is stored created_at DateTime @default(now()) - created_by String? + created_by String? + created_by_team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. updated_at DateTime @updatedAt updated_by String? @@index([unified_file_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } -model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the +model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the id String @id @default(uuid()) unified_object_id String @unique // The base64 encoded unified file ID - model_object_id String @unique // the id returned by the backend API provider + model_object_id String @unique // the id returned by the backend API provider file_object Json // Stores the OpenAIFileObject file_purpose String // either 'batch' or 'fine-tune' - status String? // check if batch cost has been tracked + status String? // check if batch cost has been tracked batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed created_at DateTime @default(now()) created_by String? + created_by_team_id String? updated_at DateTime @updatedAt - updated_by String? + updated_by String? @@index([unified_object_id]) @@index([model_object_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoreTable { @@ -918,10 +922,12 @@ model LiteLLM_ManagedVectorStoreTable { storage_url String? // Storage URL (if applicable) created_at DateTime @default(now()) created_by String? + created_by_team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_resource_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoresTable { diff --git a/schema.prisma b/schema.prisma index a9d3911c07b..1f51ca4a224 100644 --- a/schema.prisma +++ b/schema.prisma @@ -884,28 +884,32 @@ model LiteLLM_ManagedFileTable { storage_backend String? // Storage backend name (e.g., "azure_storage", "gcs", "default") storage_url String? // The actual storage URL where the file is stored created_at DateTime @default(now()) - created_by String? + created_by String? + created_by_team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. updated_at DateTime @updatedAt updated_by String? @@index([unified_file_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } -model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the +model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the id String @id @default(uuid()) unified_object_id String @unique // The base64 encoded unified file ID - model_object_id String @unique // the id returned by the backend API provider + model_object_id String @unique // the id returned by the backend API provider file_object Json // Stores the OpenAIFileObject file_purpose String // either 'batch' or 'fine-tune' - status String? // check if batch cost has been tracked + status String? // check if batch cost has been tracked batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed created_at DateTime @default(now()) created_by String? + created_by_team_id String? updated_at DateTime @updatedAt - updated_by String? + updated_by String? @@index([unified_object_id]) @@index([model_object_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoreTable { @@ -918,10 +922,12 @@ model LiteLLM_ManagedVectorStoreTable { storage_url String? // Storage URL (if applicable) created_at DateTime @default(now()) created_by String? + created_by_team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_resource_id]) + @@index([created_by_team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoresTable { diff --git a/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py b/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py index 8cb642b7a44..12d68523ac8 100644 --- a/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py +++ b/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py @@ -31,7 +31,11 @@ def _make_unified_file_id() -> str: return base64.b64encode(raw.encode()).decode() -def _make_managed_files_instance(file_created_by: str, unified_file_id: str): +def _make_managed_files_instance( + file_created_by: str, + unified_file_id: str, + file_created_by_team_id=None, +): """Create a _PROXY_LiteLLMManagedFiles with a mocked DB that returns a file owned by file_created_by.""" from litellm_enterprise.proxy.hooks.managed_files import ( _PROXY_LiteLLMManagedFiles, @@ -39,6 +43,7 @@ def _make_managed_files_instance(file_created_by: str, unified_file_id: str): mock_db_record = MagicMock() mock_db_record.created_by = file_created_by + mock_db_record.created_by_team_id = file_created_by_team_id mock_prisma = MagicMock() mock_prisma.db.litellm_managedfiletable.find_first = AsyncMock( @@ -105,6 +110,57 @@ async def test_should_block_default_user_id_access(): assert exc_info.value.status_code == 403 +# --- Service-account isolation: created_by/created_by_team_id checks --- + + +@pytest.mark.asyncio +async def test_keyless_caller_cannot_access_keyless_file(): + """A file created by a key without a user_id used to be accessible by + any other keyless caller because `None == None` was True.""" + unified_file_id = _make_unified_file_id() + managed_files = _make_managed_files_instance( + file_created_by=None, + file_created_by_team_id=None, + unified_file_id=unified_file_id, + ) + keyless = UserAPIKeyAuth(api_key="sk-test", parent_otel_span=None) + data = {"file_id": unified_file_id} + + with pytest.raises(HTTPException) as exc_info: + await managed_files.check_managed_file_id_access(data, keyless) + assert exc_info.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_service_account_can_access_team_file(): + unified_file_id = _make_unified_file_id() + managed_files = _make_managed_files_instance( + file_created_by=None, + file_created_by_team_id="team-eng", + unified_file_id=unified_file_id, + ) + sa = UserAPIKeyAuth(api_key="sk-svc", team_id="team-eng", parent_otel_span=None) + data = {"file_id": unified_file_id} + + assert await managed_files.check_managed_file_id_access(data, sa) is True + + +@pytest.mark.asyncio +async def test_service_account_blocked_from_other_team_file(): + unified_file_id = _make_unified_file_id() + managed_files = _make_managed_files_instance( + file_created_by=None, + file_created_by_team_id="team-sales", + unified_file_id=unified_file_id, + ) + sa = UserAPIKeyAuth(api_key="sk-svc", team_id="team-eng", parent_otel_span=None) + data = {"file_id": unified_file_id} + + with pytest.raises(HTTPException) as exc_info: + await managed_files.check_managed_file_id_access(data, sa) + assert exc_info.value.status_code == 403 + + # --- Option C fix test: check_batch_cost bypasses managed files hook --- @@ -144,6 +200,7 @@ async def test_check_batch_cost_should_call_afile_content_directly_with_credenti # Mock the batch response (completed, with output file) from litellm.types.utils import LiteLLMBatch + batch_response = LiteLLMBatch( id="batch-123", completion_window="24h", @@ -201,9 +258,11 @@ async def test_check_batch_cost_should_call_afile_content_directly_with_credenti # Verify the DB update writes batch_processed, status, and file_object mock_prisma.db.litellm_managedobjecttable.update.assert_called_once() - update_call_kwargs = mock_prisma.db.litellm_managedobjecttable.update.call_args.kwargs + update_call_kwargs = ( + mock_prisma.db.litellm_managedobjecttable.update.call_args.kwargs + ) assert update_call_kwargs["data"]["batch_processed"] is True assert update_call_kwargs["data"]["status"] == "complete" - assert "file_object" in update_call_kwargs["data"], ( - "file_object must be written to DB so list_batches reads updated status" - ) + assert ( + "file_object" in update_call_kwargs["data"] + ), "file_object must be written to DB so list_batches reads updated status" diff --git a/tests/test_litellm/llms/base_llm/test_base_managed_resource.py b/tests/test_litellm/llms/base_llm/test_base_managed_resource.py new file mode 100644 index 00000000000..365a65b84c8 --- /dev/null +++ b/tests/test_litellm/llms/base_llm/test_base_managed_resource.py @@ -0,0 +1,131 @@ +""" +Integration tests for BaseManagedResource listing and access control. +""" + +from typing import List +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from litellm.llms.base_llm.managed_resources.base_managed_resource import ( + BaseManagedResource, +) +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + +class _StubResource(BaseManagedResource): + """Concrete subclass exposing the abstract surface for testing.""" + + @property + def resource_type(self) -> str: + return "test_resource" + + @property + def table_name(self) -> str: + return "litellm_test_resource_table" + + def get_unified_resource_id_format( + self, resource_object, target_model_names_list + ) -> str: + return "test" + + async def create_resource_for_model( + self, llm_router, model, request_data, litellm_parent_otel_span + ): + return {"id": "test"} + + +def _make_resource(records: List = None) -> _StubResource: + cache = MagicMock() + cache.async_get_cache = AsyncMock(return_value=None) + + prisma = MagicMock() + table = MagicMock() + table.find_many = AsyncMock(return_value=records or []) + prisma.db = MagicMock() + setattr(prisma.db, "litellm_test_resource_table", table) + + return _StubResource(internal_usage_cache=cache, prisma_client=prisma) + + +@pytest.mark.asyncio +async def test_list_admin_query_is_unscoped(): + resource = _make_resource() + admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN) + + await resource.list_user_resources(user_api_key_dict=admin) + + table = resource.prisma_client.db.litellm_test_resource_table + where = table.find_many.await_args.kwargs["where"] + assert "created_by" not in where + assert "created_by_team_id" not in where + + +@pytest.mark.asyncio +async def test_list_user_filters_by_user_id(): + resource = _make_resource() + user = UserAPIKeyAuth(user_id="alice") + + await resource.list_user_resources(user_api_key_dict=user) + + where = resource.prisma_client.db.litellm_test_resource_table.find_many.await_args.kwargs[ + "where" + ] + assert where["created_by"] == "alice" + assert "created_by_team_id" not in where + + +@pytest.mark.asyncio +async def test_list_service_account_filters_by_team_id(): + resource = _make_resource() + service_account = UserAPIKeyAuth(team_id="team-eng") + + await resource.list_user_resources(user_api_key_dict=service_account) + + where = resource.prisma_client.db.litellm_test_resource_table.find_many.await_args.kwargs[ + "where" + ] + assert where["created_by_team_id"] == "team-eng" + assert "created_by" not in where + + +@pytest.mark.asyncio +async def test_list_identity_less_caller_returns_empty_without_query(): + """A caller with no admin role and no identifying ids must NOT issue a + query — the original bug skipped the filter and returned everything.""" + resource = _make_resource() + nobody = UserAPIKeyAuth() + + result = await resource.list_user_resources(user_api_key_dict=nobody) + + assert result == { + "object": "list", + "data": [], + "first_id": None, + "last_id": None, + "has_more": False, + } + resource.prisma_client.db.litellm_test_resource_table.find_many.assert_not_awaited() + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "caller_team_id,expected", + [("team-eng", True), ("team-sales", False), (None, False)], +) +async def test_can_access_uses_team_id_for_service_account(caller_team_id, expected): + cache = MagicMock() + cache.async_get_cache = AsyncMock( + return_value={ + "created_by": None, + "created_by_team_id": "team-eng", + } + ) + prisma = MagicMock() + resource = _StubResource(internal_usage_cache=cache, prisma_client=prisma) + + caller = ( + UserAPIKeyAuth(team_id=caller_team_id) if caller_team_id else UserAPIKeyAuth() + ) + + assert await resource.can_user_access_unified_resource_id("rid", caller) is expected diff --git a/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py new file mode 100644 index 00000000000..b11fa351e76 --- /dev/null +++ b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py @@ -0,0 +1,148 @@ +""" +Tests for managed-resource tenant isolation helpers. +""" + +import pytest + +from litellm.llms.base_llm.managed_resources.isolation import ( + build_owner_filter, + can_access_resource, +) +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + +# --------------------------------------------------------------------------- +# build_owner_filter +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "role", + [LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY], +) +def test_owner_filter_admin_unscoped(role): + assert build_owner_filter(UserAPIKeyAuth(user_role=role)) == {} + + +def test_owner_filter_user_scoped_to_user_id(): + user = UserAPIKeyAuth(user_id="alice") + assert build_owner_filter(user) == {"created_by": "alice"} + + +def test_owner_filter_service_account_scoped_to_team(): + service_account = UserAPIKeyAuth(team_id="team-eng") + assert build_owner_filter(service_account) == {"created_by_team_id": "team-eng"} + + +def test_owner_filter_user_id_takes_precedence_over_team_id(): + user = UserAPIKeyAuth(user_id="alice", team_id="team-eng") + assert build_owner_filter(user) == {"created_by": "alice"} + + +def test_owner_filter_no_identity_returns_none(): + """A caller with no admin role and no identifying ids must be denied so + the listing path can refuse the query rather than fall through to an + unscoped fetch.""" + assert build_owner_filter(UserAPIKeyAuth()) is None + + +# --------------------------------------------------------------------------- +# can_access_resource +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "role", + [LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY], +) +@pytest.mark.parametrize( + "created_by,created_by_team_id", + [("alice", "team-eng"), (None, None)], +) +def test_access_admin_can_read_any_resource(role, created_by, created_by_team_id): + admin = UserAPIKeyAuth(user_role=role) + assert ( + can_access_resource( + admin, created_by=created_by, created_by_team_id=created_by_team_id + ) + is True + ) + + +@pytest.mark.parametrize( + "user_id,created_by,expected", + [ + ("alice", "alice", True), + ("alice", "bob", False), + ("alice", None, False), + ], +) +def test_access_user_id_match(user_id, created_by, expected): + user = UserAPIKeyAuth(user_id=user_id) + assert ( + can_access_resource(user, created_by=created_by, created_by_team_id=None) + is expected + ) + + +@pytest.mark.parametrize( + "team_id,created_by_team_id,expected", + [ + ("team-eng", "team-eng", True), + ("team-eng", "team-sales", False), + ("team-eng", None, False), + ], +) +def test_access_service_account_team_id_match(team_id, created_by_team_id, expected): + service_account = UserAPIKeyAuth(team_id=team_id) + assert ( + can_access_resource( + service_account, created_by=None, created_by_team_id=created_by_team_id + ) + is expected + ) + + +def test_access_user_can_see_team_match_when_no_user_id_match(): + """Falls through to the team check when user_id doesn't match — lets a + team member read a resource created by a sibling service account in the + same team.""" + user = UserAPIKeyAuth(user_id="alice", team_id="team-eng") + assert ( + can_access_resource( + user, created_by="service-bot", created_by_team_id="team-eng" + ) + is True + ) + + +def test_access_service_account_denied_user_resource_in_different_team(): + service_account = UserAPIKeyAuth(team_id="team-eng") + assert ( + can_access_resource( + service_account, created_by="bob", created_by_team_id="team-sales" + ) + is False + ) + + +@pytest.mark.parametrize( + "created_by,created_by_team_id", + [ + (None, None), + ("anybody", None), + (None, "any-team"), + ("anybody", "any-team"), + ], +) +def test_access_identity_less_caller_always_denied(created_by, created_by_team_id): + """The original `None == None` bypass — a caller with no admin role and + no identifying ids is denied against every resource regardless of how + the resource was tagged.""" + nobody = UserAPIKeyAuth() + assert ( + can_access_resource( + nobody, created_by=created_by, created_by_team_id=created_by_team_id + ) + is False + ) From 799d79160afbd323a0b84baeeed7c2e076f02f74 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 20:44:51 +0000 Subject: [PATCH 055/160] fix(proxy): match Prisma index names + extend listing to team for user-keyed callers Two follow-ups to the managed-resource isolation fix: 1. Rename the new composite indexes to match Prisma's auto-generated naming convention (`_created_by_team_id_created_at_idx`). The previous `*_team_owner_created_at_idx` names left `prisma migrate diff` reporting an outstanding `RENAME INDEX`, failing `test_aaaasschema_migration_check`. 2. Make `build_owner_filter` return an OR clause when the caller has both a `user_id` and a `team_id`, so listings include team-shared resources the same way `can_access_resource` already permits reading them. Without this a user could fetch a team-shared resource by id but never see it in their list view. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../migration.sql | 9 +++++--- .../base_llm/managed_resources/isolation.py | 22 +++++++++++++++---- .../test_managed_resource_isolation.py | 12 ++++++++-- 3 files changed, 34 insertions(+), 9 deletions(-) diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql index 9020f41fe85..793a02c08a2 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql @@ -13,6 +13,9 @@ ALTER TABLE "LiteLLM_ManagedFileTable" ADD COLUMN IF NOT EXISTS "created_by_team ALTER TABLE "LiteLLM_ManagedObjectTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; ALTER TABLE "LiteLLM_ManagedVectorStoreTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; -CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedFileTable_team_owner_created_at_idx" ON "LiteLLM_ManagedFileTable" ("created_by_team_id", "created_at" DESC); -CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedObjectTable_team_owner_created_at_idx" ON "LiteLLM_ManagedObjectTable" ("created_by_team_id", "created_at" DESC); -CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedVectorStoreTable_team_owner_created_at_idx" ON "LiteLLM_ManagedVectorStoreTable" ("created_by_team_id", "created_at" DESC); +-- Index names follow Prisma's auto-generated convention so `prisma migrate diff` +-- against the schema is clean. Postgres caps identifier length at 63 chars, +-- which truncates the vector-store name to `_created__idx`. +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedFileTable_created_by_team_id_created_at_idx" ON "LiteLLM_ManagedFileTable" ("created_by_team_id", "created_at" DESC); +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedObjectTable_created_by_team_id_created_at_idx" ON "LiteLLM_ManagedObjectTable" ("created_by_team_id", "created_at" DESC); +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedVectorStoreTable_created_by_team_id_created__idx" ON "LiteLLM_ManagedVectorStoreTable" ("created_by_team_id", "created_at" DESC); diff --git a/litellm/llms/base_llm/managed_resources/isolation.py b/litellm/llms/base_llm/managed_resources/isolation.py index dea7f1e23d0..267643e1f5e 100644 --- a/litellm/llms/base_llm/managed_resources/isolation.py +++ b/litellm/llms/base_llm/managed_resources/isolation.py @@ -38,17 +38,31 @@ def build_owner_filter( - ``{"created_by": }`` for user-keyed callers. - ``{"created_by_team_id": }`` for service-account callers that have a team but no user_id. + - ``{"OR": [...]}`` when the caller has both — listing must include + both their own resources and team-shared ones so it stays consistent + with ``can_access_resource``. - ``None`` means deny: callers MUST skip the query rather than fall back to an unscoped fetch. """ if _user_has_admin_view(user_api_key_dict): return {} - if user_api_key_dict.user_id is not None: - return {"created_by": user_api_key_dict.user_id} + user_id = user_api_key_dict.user_id + team_id = user_api_key_dict.team_id - if user_api_key_dict.team_id is not None: - return {"created_by_team_id": user_api_key_dict.team_id} + if user_id is not None and team_id is not None: + return { + "OR": [ + {"created_by": user_id}, + {"created_by_team_id": team_id}, + ] + } + + if user_id is not None: + return {"created_by": user_id} + + if team_id is not None: + return {"created_by_team_id": team_id} return None diff --git a/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py index b11fa351e76..a6bc9874ac7 100644 --- a/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py +++ b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py @@ -34,9 +34,17 @@ def test_owner_filter_service_account_scoped_to_team(): assert build_owner_filter(service_account) == {"created_by_team_id": "team-eng"} -def test_owner_filter_user_id_takes_precedence_over_team_id(): +def test_owner_filter_user_with_team_returns_or_filter(): + """List view must mirror `can_access_resource`: a user-keyed caller in a + team can also access team-shared resources, so the listing returns both + their own records and team records via an OR filter.""" user = UserAPIKeyAuth(user_id="alice", team_id="team-eng") - assert build_owner_filter(user) == {"created_by": "alice"} + assert build_owner_filter(user) == { + "OR": [ + {"created_by": "alice"}, + {"created_by_team_id": "team-eng"}, + ] + } def test_owner_filter_no_identity_returns_none(): From c27951b53b6fe6f0581e4309d545832c3cea5e0b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 21:06:16 +0000 Subject: [PATCH 056/160] fix(auth): block missing write routes for proxy admin viewers `_check_proxy_admin_viewer_access` enumerates write routes a PROXY_ADMIN_VIEW_ONLY caller may not invoke, then falls through to "allow" for any management route not listed. Several write endpoints were never added to the blocklist, so a viewer could: - block or unblock any team via `/team/block` / `/team/unblock` - mutate team permissions via `/team/permissions_update` and `/team/permissions_bulk_update` - create, update, or delete JWT key mappings via `/jwt/key/mapping/{new,update,delete}` - bulk-edit keys via `/key/bulk_update` - reset key spend via the path-parameterized `/key/{id}/reset_spend` Hoist the blocklist into a module-level frozenset and a tuple of suffix patterns so it's clear what to extend when a new write route is added, and pull the existing key write routes from the `KeyManagementRoutes` enum so the two stay in sync. Adds parametrized tests over the newly-blocked routes plus baseline coverage for routes that should remain allowed (info / list / daily-activity reads). Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/auth/route_checks.py | 69 +++++++++++++------ .../proxy/auth/test_route_checks.py | 67 ++++++++++++++++++ 2 files changed, 114 insertions(+), 22 deletions(-) diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py index 6417307f691..5f49b5eb354 100644 --- a/litellm/proxy/auth/route_checks.py +++ b/litellm/proxy/auth/route_checks.py @@ -6,6 +6,7 @@ from fastapi import HTTPException, Request, status from litellm._logging import verbose_proxy_logger from litellm.proxy._types import ( CommonProxyErrors, + KeyManagementRoutes, LiteLLM_UserTable, LiteLLMRoutes, LitellmUserRoles, @@ -14,6 +15,49 @@ from litellm.proxy._types import ( from .auth_checks_organization import _user_is_org_admin +# Management write routes denied to PROXY_ADMIN_VIEW_ONLY. Adding a new write +# endpoint to a management router REQUIRES adding it here too — the surrounding +# check falls through to "allow" if the route is not matched, which previously +# let view-only admins call /team/block, /team/unblock, /key/bulk_update, etc. +_PROXY_ADMIN_VIEW_ONLY_BLOCKED_ROUTES = frozenset( + [ + # user + "/user/new", + "/user/delete", + "/user/bulk_update", + # team + "/team/new", + "/team/update", + "/team/delete", + "/team/block", + "/team/unblock", + "/team/permissions_update", + "/team/permissions_bulk_update", + # model + "/model/new", + "/model/update", + "/model/delete", + # JWT key mapping + "/jwt/key/mapping/new", + "/jwt/key/mapping/update", + "/jwt/key/mapping/delete", + # key management — keep in sync with KeyManagementRoutes write entries + KeyManagementRoutes.KEY_GENERATE.value, + KeyManagementRoutes.KEY_UPDATE.value, + KeyManagementRoutes.KEY_DELETE.value, + KeyManagementRoutes.KEY_REGENERATE.value, + KeyManagementRoutes.KEY_GENERATE_SERVICE_ACCOUNT.value, + KeyManagementRoutes.KEY_BLOCK.value, + KeyManagementRoutes.KEY_UNBLOCK.value, + KeyManagementRoutes.KEY_BULK_UPDATE.value, + ] +) + +# Suffixes for `/key/{key_id}/...` path-parameterized write routes that the +# enum templates with `{key_id}`. The blocklist above can't match templated +# paths directly because the request route carries the resolved key id. +_PROXY_ADMIN_VIEW_ONLY_BLOCKED_KEY_SUFFIXES = ("/regenerate", "/reset_spend") + class RouteChecks: @staticmethod @@ -626,28 +670,9 @@ class RouteChecks: status_code=status.HTTP_403_FORBIDDEN, detail=f"user not allowed to access this route, role= {_user_role}. Trying to access: {route} and updating invalid param: {param}. only user_email and password can be updated", ) - elif ( - route - in [ - "/user/new", - "/user/delete", - "/user/bulk_update", - "/team/new", - "/team/update", - "/team/delete", - "/model/new", - "/model/update", - "/model/delete", - "/key/generate", - "/key/delete", - "/key/update", - "/key/regenerate", - "/key/service-account/generate", - "/key/block", - "/key/unblock", - ] - or route.startswith("/key/") - and route.endswith("/regenerate") + elif route in _PROXY_ADMIN_VIEW_ONLY_BLOCKED_ROUTES or ( + route.startswith("/key/") + and route.endswith(_PROXY_ADMIN_VIEW_ONLY_BLOCKED_KEY_SUFFIXES) ): # Block write operations for PROXY_ADMIN_VIEW_ONLY raise HTTPException( diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py index a5d405cfc2d..ac2efb9ab69 100644 --- a/tests/test_litellm/proxy/auth/test_route_checks.py +++ b/tests/test_litellm/proxy/auth/test_route_checks.py @@ -90,6 +90,73 @@ def test_proxy_admin_viewer_config_update_route_rejected(): assert "role= proxy_admin_viewer" in str(exc_info.value.detail) +@pytest.mark.parametrize( + "blocked_route", + [ + # team write routes that previously fell through the blocklist + "/team/block", + "/team/unblock", + "/team/permissions_update", + "/team/permissions_bulk_update", + # JWT key mapping write routes + "/jwt/key/mapping/new", + "/jwt/key/mapping/update", + "/jwt/key/mapping/delete", + # key write routes + "/key/bulk_update", + # path-parameterized key write routes (suffix match) + "/key/abc123/regenerate", + "/key/abc123/reset_spend", + # baseline coverage of routes that were already blocked + "/team/new", + "/team/delete", + "/key/generate", + "/key/delete", + "/model/new", + "/model/delete", + ], +) +def test_proxy_admin_viewer_blocked_management_writes(blocked_route): + """View-only admins must be denied on every management write route — the + fall-through path previously allowed /team/block, /team/unblock, + /key/bulk_update, /key/{id}/reset_spend, and the JWT key-mapping routes.""" + with pytest.raises(HTTPException) as exc_info: + RouteChecks._check_proxy_admin_viewer_access( + route=blocked_route, + _user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value, + request_data={}, + ) + assert exc_info.value.status_code == 403 + assert blocked_route in str(exc_info.value.detail) + + +@pytest.mark.parametrize( + "allowed_read_route", + [ + "/team/info", + "/team/list", + "/v2/team/list", + "/team/permissions_list", + "/team/daily/activity", + "/user/info", + "/user/list", + "/key/info", + "/key/list", + "/model/info", + "/jwt/key/mapping/list", + "/jwt/key/mapping/info", + ], +) +def test_proxy_admin_viewer_allowed_management_reads(allowed_read_route): + """View-only admins must still be allowed to read management routes.""" + # Should not raise + RouteChecks._check_proxy_admin_viewer_access( + route=allowed_read_route, + _user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value, + request_data={}, + ) + + def test_virtual_key_allowed_routes_with_litellm_routes_member_name_allowed(): """Test that virtual key is allowed to call routes when allowed_routes contains LiteLLMRoutes member name""" From f34b968a5f680751cb6df2c71962f2eab8242cbc Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 14:08:53 -0700 Subject: [PATCH 057/160] chore: retrigger PR checks From 3372db4f8ff23e5f60a11dd625fd3a47e82a684e Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 21:54:32 +0000 Subject: [PATCH 058/160] fix(proxy): scope team and agent activity endpoints per-entity (VERIA-43) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two related cross-tenant leaks in the daily-activity endpoints: 1. `/team/daily/activity` set a single `has_full_team_view` flag that went True if the caller was admin/perm-holder of ANY one of the requested teams. An admin of team A could pass `team_ids=A,B` and read team B's per-API-key breakdown even when they were only a plain member of team B. Require admin/permission on EVERY requested team for the unfiltered view; otherwise force fallback to the caller's own API keys for the whole request. Callers wanting wider coverage can split into separate requests. 2. `/agent/daily/activity` initialized an empty `where_condition` and returned every agent's spend/token rows on the proxy when `agent_ids` was omitted — the dashboard's "Top Agents Driving Spend" panel triggered this for any authenticated user. For non-admin callers, scope the query to agents they're permitted to invoke (`AgentRequestHandler.get_allowed_agents`) or, when their key/team has no explicit agent allowlist, to agents they created (`created_by`). Explicit `agent_ids` is intersected with the same permitted set rather than trusted. When the resolved set is empty, return an empty paginated page without issuing the query. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/agent_endpoints/endpoints.py | 53 ++- .../management_endpoints/team_endpoints.py | 26 +- .../test_activity_tenant_scoping.py | 337 ++++++++++++++++++ 3 files changed, 405 insertions(+), 11 deletions(-) create mode 100644 tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py diff --git a/litellm/proxy/agent_endpoints/endpoints.py b/litellm/proxy/agent_endpoints/endpoints.py index c351d3cfecb..978e1a73be1 100644 --- a/litellm/proxy/agent_endpoints/endpoints.py +++ b/litellm/proxy/agent_endpoints/endpoints.py @@ -31,6 +31,7 @@ from litellm.types.agents import ( from litellm.litellm_core_utils.litellm_logging import _get_masked_values from litellm.types.llms.custom_http import httpxSpecialProvider from litellm.types.proxy.management_endpoints.common_daily_activity import ( + DailySpendMetadata, SpendAnalyticsPaginatedResponse, ) @@ -973,7 +974,57 @@ async def get_agent_daily_activity( exclude_agent_ids.split(",") if exclude_agent_ids else None ) - where_condition = {} + # Without scoping, an empty `agent_ids` query returned every agent's + # spend/token rows on the proxy. Restrict non-admin callers to the + # agents they're permitted to invoke (or that they created), and + # intersect their explicit `agent_ids` filter with the same allowlist. + from litellm.proxy.agent_endpoints.auth.agent_permission_handler import ( + AgentRequestHandler, + ) + from litellm.proxy.management_endpoints.common_utils import _user_has_admin_view + + where_condition: Dict[str, Any] = {} + if not _user_has_admin_view(user_api_key_dict): + permitted_agent_ids = await AgentRequestHandler.get_allowed_agents( + user_api_key_auth=user_api_key_dict + ) + # `get_allowed_agents` returns an empty list when the caller's key + # and team carry no agent restrictions. For activity scoping that's + # not "see everything" — fall back to the agents the caller + # created so they cannot enumerate other tenants' agents. + if not permitted_agent_ids: + owned_records = await prisma_client.db.litellm_agentstable.find_many( + where={"created_by": user_api_key_dict.user_id} + ) + permitted_agent_ids = [a.agent_id for a in owned_records] + + if agent_ids_list: + agent_ids_list = [ + aid for aid in agent_ids_list if aid in permitted_agent_ids + ] + else: + agent_ids_list = list(permitted_agent_ids) + + # No accessible agents → return an empty page without querying. + if not agent_ids_list: + return SpendAnalyticsPaginatedResponse( + results=[], + metadata=DailySpendMetadata( + total_spend=0.0, + total_prompt_tokens=0, + total_completion_tokens=0, + total_tokens=0, + total_api_requests=0, + total_successful_requests=0, + total_failed_requests=0, + total_cache_read_input_tokens=0, + total_cache_creation_input_tokens=0, + page=page, + total_pages=0, + has_more=False, + ), + ) + if agent_ids_list: where_condition["agent_id"] = {"in": list(agent_ids_list)} diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 61247ce5deb..bed99e7fd51 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -5026,24 +5026,30 @@ async def get_team_daily_activity( } # Check if user is team admin or has /team/daily/activity permission - # If not, filter by user's API keys + # If not, filter by user's API keys. + # + # Earlier this loop used `any-team admin -> set has_full_team_view=True + # for the entire request`, so an admin of one team that requested + # data for several teams would see API-key-level breakdowns for all + # of them. Require full view on EVERY requested team — if the caller + # only has admin/permission for a strict subset, fall back to + # filtering the entire response by their own API keys (they can re- + # request the admin-only teams separately to get the wider view). user_api_keys: Optional[List[str]] = None if not _user_has_admin_view(user_api_key_dict) and team_ids_list and team_aliases: - # Check if user is team admin or has usage view permission for any team - has_full_team_view = False + has_full_team_view = True for team_alias in team_aliases: team_obj = LiteLLM_TeamTable(**team_alias.model_dump()) - if _is_user_team_admin( + is_admin = _is_user_team_admin( user_api_key_dict=user_api_key_dict, team_obj=team_obj - ): - has_full_team_view = True - break - if _team_member_has_permission( + ) + has_perm = _team_member_has_permission( user_api_key_dict=user_api_key_dict, team_obj=team_obj, permission="/team/daily/activity", - ): - has_full_team_view = True + ) + if not (is_admin or has_perm): + has_full_team_view = False break # If user does not have full team view, filter by their API keys diff --git a/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py b/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py new file mode 100644 index 00000000000..ebc73f87562 --- /dev/null +++ b/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py @@ -0,0 +1,337 @@ +""" +VERIA-43 regression tests: + +- /team/daily/activity must require admin/permission on EVERY requested + team for the unfiltered "full team view" path. The earlier code set a + global flag if the caller was admin of any one of the requested teams. +- /agent/daily/activity must scope non-admin callers to the agents they + may actually see, instead of returning the entire proxy's agent rows. +""" + +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + +# --------------------------------------------------------------------------- +# /team/daily/activity — per-team admin/permission requirement +# --------------------------------------------------------------------------- + + +def _make_team(team_id: str, admin_user_ids: list): + """Build a Prisma-compatible team row. `admin_user_ids` are inserted as + `members_with_roles[*].role == "admin"` because that's what + `_is_user_team_admin` checks.""" + members_with_roles = [{"user_id": uid, "role": "admin"} for uid in admin_user_ids] + row = MagicMock() + row.team_id = team_id + row.team_alias = team_id + row.admins = admin_user_ids + row.members_with_roles = members_with_roles + row.model_dump = MagicMock( + return_value={ + "team_id": team_id, + "team_alias": team_id, + "admins": admin_user_ids, + "members_with_roles": members_with_roles, + "members": [], + } + ) + return row + + +@pytest.mark.asyncio +async def test_team_activity_requires_admin_on_every_requested_team(): + """If the caller is admin of one team but only a member of another in + the same request, the response MUST be filtered down to their own + keys — the previous code returned a full breakdown.""" + from litellm.proxy.management_endpoints import team_endpoints + + user = UserAPIKeyAuth( + user_id="alice", + user_role=LitellmUserRoles.INTERNAL_USER.value, + ) + + # Mock prisma client + prisma = MagicMock() + prisma.db.litellm_teamtable.find_many = AsyncMock( + return_value=[ + _make_team("team-A", admin_user_ids=["alice"]), + _make_team("team-B", admin_user_ids=["bob"]), + ] + ) + user_keys = MagicMock(token="alice-key-1") + prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[user_keys]) + + # Mock get_user_object so the non-admin branch passes + user_info = MagicMock() + user_info.teams = ["team-A", "team-B"] + + captured = {} + + async def _fake_get_daily_activity(**kwargs): + captured.update(kwargs) + return MagicMock() + + with ( + patch.object(team_endpoints, "prisma_client", prisma, create=True), + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_user_object", + new=AsyncMock(return_value=user_info), + ), + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_daily_activity", + new=AsyncMock(side_effect=_fake_get_daily_activity), + ), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + ): + await team_endpoints.get_team_daily_activity( + team_ids="team-A,team-B", + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=user, + ) + + # Caller is only admin of team-A; team-B forces fallback to user-key + # filtering for the entire request. + assert captured["api_key"] == ["alice-key-1"] + + +@pytest.mark.asyncio +async def test_team_activity_full_view_when_admin_of_all_requested_teams(): + """When the caller is admin of *every* team requested, no api_key + filter is forced — they're allowed the unfiltered breakdown.""" + from litellm.proxy.management_endpoints import team_endpoints + + user = UserAPIKeyAuth( + user_id="alice", + user_role=LitellmUserRoles.INTERNAL_USER.value, + ) + + prisma = MagicMock() + prisma.db.litellm_teamtable.find_many = AsyncMock( + return_value=[ + _make_team("team-A", admin_user_ids=["alice"]), + _make_team("team-B", admin_user_ids=["alice"]), + ] + ) + + user_info = MagicMock() + user_info.teams = ["team-A", "team-B"] + + captured = {} + + async def _fake_get_daily_activity(**kwargs): + captured.update(kwargs) + return MagicMock() + + with ( + patch.object(team_endpoints, "prisma_client", prisma, create=True), + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_user_object", + new=AsyncMock(return_value=user_info), + ), + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_daily_activity", + new=AsyncMock(side_effect=_fake_get_daily_activity), + ), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + ): + await team_endpoints.get_team_daily_activity( + team_ids="team-A,team-B", + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=user, + ) + + assert captured["api_key"] is None + + +# --------------------------------------------------------------------------- +# /agent/daily/activity — non-admin tenant scoping +# --------------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_agent_activity_admin_unscoped(): + """Proxy admin: agent_ids omitted → no scoping (existing behavior).""" + from litellm.proxy.agent_endpoints import endpoints + + admin = UserAPIKeyAuth(user_id="root", user_role=LitellmUserRoles.PROXY_ADMIN.value) + + prisma = MagicMock() + prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[]) + + captured = {} + + async def _fake_get_daily_activity(**kwargs): + captured.update(kwargs) + return MagicMock() + + with ( + patch.object(endpoints, "prisma_client", prisma, create=True), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch( + "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user", + new=AsyncMock(return_value=None), + ), + patch( + "litellm.proxy.agent_endpoints.endpoints.get_daily_activity", + new=AsyncMock(side_effect=_fake_get_daily_activity), + ), + ): + await endpoints.get_agent_daily_activity( + agent_ids=None, + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=admin, + ) + + assert captured["entity_id"] is None # no agent_id scoping for admin + + +@pytest.mark.asyncio +async def test_agent_activity_non_admin_no_perms_falls_back_to_owned(): + """Non-admin without explicit agent permissions: scope to agents they + created. An empty `agent_ids` query must NOT return everyone's agents.""" + from litellm.proxy.agent_endpoints import endpoints + + user = UserAPIKeyAuth( + user_id="alice", + user_role=LitellmUserRoles.INTERNAL_USER.value, + ) + + owned = [MagicMock(agent_id="agent-alice-1"), MagicMock(agent_id="agent-alice-2")] + prisma = MagicMock() + # First call: lookup of owned agents (created_by=alice). + # Second call: agent_metadata fetch for the resolved set. + prisma.db.litellm_agentstable.find_many = AsyncMock(side_effect=[owned, owned]) + + captured = {} + + async def _fake_get_daily_activity(**kwargs): + captured.update(kwargs) + return MagicMock() + + with ( + patch.object(endpoints, "prisma_client", prisma, create=True), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch( + "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user", + new=AsyncMock(return_value=None), + ), + patch( + "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents", + new=AsyncMock(return_value=[]), # no explicit agent permissions + ), + patch( + "litellm.proxy.agent_endpoints.endpoints.get_daily_activity", + new=AsyncMock(side_effect=_fake_get_daily_activity), + ), + ): + await endpoints.get_agent_daily_activity( + agent_ids=None, + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=user, + ) + + # entity_id must be the user's owned agents, not None (which would + # match every row). + assert sorted(captured["entity_id"]) == ["agent-alice-1", "agent-alice-2"] + + +@pytest.mark.asyncio +async def test_agent_activity_non_admin_intersects_explicit_agent_ids(): + """When the caller passes `agent_ids`, the result is intersected with + their permitted set rather than trusting the request.""" + from litellm.proxy.agent_endpoints import endpoints + + user = UserAPIKeyAuth( + user_id="alice", + user_role=LitellmUserRoles.INTERNAL_USER.value, + ) + + prisma = MagicMock() + prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[]) + + captured = {} + + async def _fake_get_daily_activity(**kwargs): + captured.update(kwargs) + return MagicMock() + + with ( + patch.object(endpoints, "prisma_client", prisma, create=True), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch( + "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user", + new=AsyncMock(return_value=None), + ), + patch( + "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents", + new=AsyncMock(return_value=["agent-permitted"]), + ), + patch( + "litellm.proxy.agent_endpoints.endpoints.get_daily_activity", + new=AsyncMock(side_effect=_fake_get_daily_activity), + ), + ): + await endpoints.get_agent_daily_activity( + agent_ids="agent-permitted,agent-someone-elses", + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=user, + ) + + # Only the permitted agent survives the intersection. + assert captured["entity_id"] == ["agent-permitted"] + + +@pytest.mark.asyncio +async def test_agent_activity_non_admin_no_access_returns_empty_page(): + """Non-admin with no permitted agents and no owned agents must get an + empty paginated response without an unscoped DB query.""" + from litellm.proxy.agent_endpoints import endpoints + + user = UserAPIKeyAuth( + user_id="alice", + user_role=LitellmUserRoles.INTERNAL_USER.value, + ) + + prisma = MagicMock() + prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[]) + + fake_get_daily = AsyncMock() + + with ( + patch.object(endpoints, "prisma_client", prisma, create=True), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch( + "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user", + new=AsyncMock(return_value=None), + ), + patch( + "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents", + new=AsyncMock(return_value=[]), + ), + patch( + "litellm.proxy.agent_endpoints.endpoints.get_daily_activity", + new=fake_get_daily, + ), + ): + result = await endpoints.get_agent_daily_activity( + agent_ids=None, + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=user, + ) + + assert result.results == [] + fake_get_daily.assert_not_awaited() From 38fd1a99c4a948e81f6cd648d007c1f2d3817b4c Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 22:04:54 +0000 Subject: [PATCH 059/160] fix(proxy): guard agent activity owned-fallback against null user_id Greptile flagged that the new `created_by` fallback in `/agent/daily/activity` resolves to `WHERE created_by IS NULL` when `user_api_key_dict.user_id` is `None`, which would expose every ownerless agent's rows to a service-account-style caller without a user_id. Skip the fallback query entirely in that case so the caller is treated as having no permitted agents (empty page, no DB hit). Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/agent_endpoints/endpoints.py | 14 ++++-- .../test_activity_tenant_scoping.py | 48 +++++++++++++++++++ 2 files changed, 58 insertions(+), 4 deletions(-) diff --git a/litellm/proxy/agent_endpoints/endpoints.py b/litellm/proxy/agent_endpoints/endpoints.py index 978e1a73be1..32d9a7f2721 100644 --- a/litellm/proxy/agent_endpoints/endpoints.py +++ b/litellm/proxy/agent_endpoints/endpoints.py @@ -992,11 +992,17 @@ async def get_agent_daily_activity( # and team carry no agent restrictions. For activity scoping that's # not "see everything" — fall back to the agents the caller # created so they cannot enumerate other tenants' agents. + # Guard against `user_id is None`: a literal None in Prisma + # `where={"created_by": None}` resolves to ``created_by IS NULL`` + # and would expose every ownerless agent's rows. if not permitted_agent_ids: - owned_records = await prisma_client.db.litellm_agentstable.find_many( - where={"created_by": user_api_key_dict.user_id} - ) - permitted_agent_ids = [a.agent_id for a in owned_records] + if user_api_key_dict.user_id is None: + permitted_agent_ids = [] + else: + owned_records = await prisma_client.db.litellm_agentstable.find_many( + where={"created_by": user_api_key_dict.user_id} + ) + permitted_agent_ids = [a.agent_id for a in owned_records] if agent_ids_list: agent_ids_list = [ diff --git a/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py b/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py index ebc73f87562..0855c201945 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py +++ b/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py @@ -294,6 +294,54 @@ async def test_agent_activity_non_admin_intersects_explicit_agent_ids(): assert captured["entity_id"] == ["agent-permitted"] +@pytest.mark.asyncio +async def test_agent_activity_keyless_caller_does_not_query_created_by_null(): + """Guard against the `WHERE created_by IS NULL` pitfall: a non-admin + caller without a user_id (e.g. a service-account key with no + explicit agent allowlist) must NOT trigger a fallback DB query that + would expose every ownerless agent.""" + from litellm.proxy.agent_endpoints import endpoints + + user = UserAPIKeyAuth( + api_key="sk-svc", + # NOTE: no user_id + user_role=LitellmUserRoles.INTERNAL_USER.value, + ) + + prisma = MagicMock() + prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[]) + + fake_get_daily = AsyncMock() + + with ( + patch.object(endpoints, "prisma_client", prisma, create=True), + patch("litellm.proxy.proxy_server.prisma_client", prisma), + patch( + "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user", + new=AsyncMock(return_value=None), + ), + patch( + "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents", + new=AsyncMock(return_value=[]), + ), + patch( + "litellm.proxy.agent_endpoints.endpoints.get_daily_activity", + new=fake_get_daily, + ), + ): + result = await endpoints.get_agent_daily_activity( + agent_ids=None, + start_date="2026-01-01", + end_date="2026-01-02", + user_api_key_dict=user, + ) + + # Empty page; the owned-agents fallback must NOT have been queried. + assert result.results == [] + prisma.db.litellm_agentstable.find_many.assert_not_called() + fake_get_daily.assert_not_awaited() + + @pytest.mark.asyncio async def test_agent_activity_non_admin_no_access_returns_empty_page(): """Non-admin with no permitted agents and no owned agents must get an From 7784b7f4ad8d139164e004a3ee9cd9f48c70ea8b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 15:18:31 -0700 Subject: [PATCH 060/160] chore(providers): allowlist URL model destinations --- litellm/__init__.py | 2 +- litellm/litellm_core_utils/url_utils.py | 83 ++++++++++++++++++- litellm/llms/gemini/files/transformation.py | 34 ++++++-- litellm/llms/huggingface/common_utils.py | 13 +-- litellm/llms/oobabooga/common_utils.py | 13 +-- .../litellm_core_utils/test_url_utils.py | 42 ++++++++++ .../files/test_gemini_files_transformation.py | 53 ++++++++++++ .../test_huggingface_model_url_guard.py | 34 +++++++- .../test_oobabooga_model_url_guard.py | 32 ++++++- 9 files changed, 278 insertions(+), 28 deletions(-) diff --git a/litellm/__init__.py b/litellm/__init__.py index b740c228446..f4b109957fb 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -280,7 +280,7 @@ ssl_security_level: Optional[str] = None ssl_certificate: Optional[str] = None user_url_validation: bool = True user_url_allowed_hosts: List[str] = [] -reject_url_model_destinations: bool = True +provider_url_destination_allowed_hosts: List[str] = [] ssl_ecdh_curve: Optional[str] = ( None # Set to 'X25519' to disable PQC and improve performance ) diff --git a/litellm/litellm_core_utils/url_utils.py b/litellm/litellm_core_utils/url_utils.py index a65d0892aa2..d1649452f79 100644 --- a/litellm/litellm_core_utils/url_utils.py +++ b/litellm/litellm_core_utils/url_utils.py @@ -21,7 +21,7 @@ Admins can opt out via two ``litellm`` globals (wired from proxy config): import socket from ipaddress import ip_address, ip_network -from typing import Any, List, Set, Tuple +from typing import Any, List, Optional, Set, Tuple from urllib.parse import urlparse, urlunparse import httpx @@ -70,6 +70,85 @@ def _normalize_host(host: str) -> str: return host.lower().rstrip(".") +def _default_port_for_scheme(scheme: str) -> int: + return 443 if scheme == "https" else 80 + + +def _parse_url_destination_allowlist_entry( + entry: str, +) -> Optional[Tuple[str, Optional[str], Optional[int]]]: + """Parse an admin allowlist entry into host, optional scheme, optional port. + + Entries may be bare hosts (``api.example.com``), host+port + (``api.example.com:8443``), or origins (``https://api.example.com``). + URL paths are intentionally ignored so admins can paste an api_base value. + """ + entry = entry.strip() + if not entry: + return None + + has_scheme = "://" in entry + parsed = urlparse(entry if has_scheme else f"//{entry}") + if has_scheme and parsed.scheme not in _ALLOWED_SCHEMES: + return None + if parsed.username is not None or parsed.password is not None: + return None + if not parsed.hostname: + return None + + try: + port = parsed.port + except ValueError: + return None + + scheme: Optional[str] = parsed.scheme if has_scheme else None + if scheme is not None and port is None: + port = _default_port_for_scheme(scheme) + + return _normalize_host(parsed.hostname), scheme, port + + +def is_url_destination_allowed_by_host(url: str, allowed_hosts: List[str]) -> bool: + """Return True when a credential-bearing provider URL is admin-allowlisted. + + This does not fetch, resolve, or rewrite URLs. It only answers whether the + destination origin is explicitly trusted by configuration. Use ``safe_get`` + for user-controlled content fetches that require SSRF protection. + """ + parsed = urlparse(url) + if parsed.scheme not in _ALLOWED_SCHEMES: + return False + if parsed.username is not None or parsed.password is not None: + return False + if not parsed.hostname: + return False + + try: + effective_port = parsed.port or _default_port_for_scheme(parsed.scheme) + except ValueError: + return False + + normalized_host = _normalize_host(parsed.hostname) + configured_entries = ( + [allowed_hosts] if isinstance(allowed_hosts, str) else allowed_hosts + ) + for entry in configured_entries or []: + if not isinstance(entry, str): + continue + parsed_entry = _parse_url_destination_allowlist_entry(entry) + if parsed_entry is None: + continue + allowed_host, allowed_scheme, allowed_port = parsed_entry + if allowed_host != normalized_host: + continue + if allowed_scheme is not None and allowed_scheme != parsed.scheme: + continue + if allowed_port is not None and allowed_port != effective_port: + continue + return True + return False + + def _format_host_header(hostname: str, port: int, default_port: int) -> str: """Build an RFC 7230 Host header value, bracketing IPv6 literals.""" bracketed = f"[{hostname}]" if ":" in hostname else hostname @@ -145,7 +224,7 @@ def validate_url(url: str) -> Tuple[str, str]: raise SSRFError("URL has no hostname") port = parsed.port - default_port = 443 if parsed.scheme == "https" else 80 + default_port = _default_port_for_scheme(parsed.scheme) effective_port = port if port is not None else default_port host_header = _format_host_header(hostname, effective_port, default_port) diff --git a/litellm/llms/gemini/files/transformation.py b/litellm/llms/gemini/files/transformation.py index d282878a4a5..3804145eb5b 100644 --- a/litellm/llms/gemini/files/transformation.py +++ b/litellm/llms/gemini/files/transformation.py @@ -13,6 +13,7 @@ from openai.types.file_deleted import FileDeleted from litellm._logging import verbose_logger from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data +from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host from litellm.llms.base_llm.files.transformation import ( BaseFilesConfig, LiteLLMLoggingObj, @@ -29,8 +30,6 @@ from litellm.types.utils import LlmProviders from ..common_utils import GeminiModelInfo -_GEMINI_FILES_HOST = "generativelanguage.googleapis.com" - class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): def __init__(self): @@ -226,20 +225,21 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): if not api_key: raise ValueError("api_key is required") - file_part = self._normalize_gemini_file_id(file_id) - api_base = ( self.get_api_base(litellm_params.get("api_base")) or "https://generativelanguage.googleapis.com" ) api_base = api_base.rstrip("/") + file_part = self._normalize_gemini_file_id(file_id, api_base=api_base) url = f"{api_base}/v1beta/{file_part}" # API key is passed via x-goog-api-key header (set in validate_environment) return url, {} - def _normalize_gemini_file_id(self, file_id: str) -> str: + def _normalize_gemini_file_id( + self, file_id: str, api_base: Optional[str] = None + ) -> str: """ Normalize file identifier into `files/{id}` form. @@ -251,10 +251,11 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): if file_id.startswith(("http://", "https://")): parsed = urlparse(file_id) if ( - parsed.scheme != "https" - or parsed.hostname != _GEMINI_FILES_HOST - or parsed.username is not None + parsed.username is not None or parsed.password is not None + or not self._is_allowed_gemini_file_url( + file_url=file_id, api_base=api_base + ) ): raise ValueError("Invalid Gemini file URL") path = parsed.path.lstrip("/") @@ -273,6 +274,20 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): return normalized_file_id + @staticmethod + def _is_allowed_gemini_file_url( + file_url: str, api_base: Optional[str] = None + ) -> bool: + import litellm + + allowed_hosts: List[str] = [] + if api_base: + allowed_hosts.append(api_base) + allowed_hosts.extend( + getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] + ) + return is_url_destination_allowed_by_host(file_url, allowed_hosts) + @staticmethod def _validate_gemini_file_name(file_name: str) -> None: parts = file_name.split("/") @@ -367,7 +382,8 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): if not api_key: raise ValueError("api_key is required") - file_name = self._normalize_gemini_file_id(file_id) + api_base = api_base.rstrip("/") + file_name = self._normalize_gemini_file_id(file_id, api_base=api_base) # Construct the delete URL url = f"{api_base}/v1beta/{file_name}" diff --git a/litellm/llms/huggingface/common_utils.py b/litellm/llms/huggingface/common_utils.py index 1e94e28d119..9a8c4895c99 100644 --- a/litellm/llms/huggingface/common_utils.py +++ b/litellm/llms/huggingface/common_utils.py @@ -4,6 +4,7 @@ from typing import Literal, Optional, Union import httpx +from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host from litellm.llms.base_llm.chat.transformation import BaseLLMException HF_HUB_URL = "https://huggingface.co" @@ -13,25 +14,27 @@ def is_url_model_destination(model: str) -> bool: return model.startswith(("http://", "https://")) -def _should_reject_url_model_destinations() -> bool: +def _is_url_model_destination_allowed(model: str) -> bool: import litellm - return getattr(litellm, "reject_url_model_destinations", True) is True + allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] + return is_url_destination_allowed_by_host(model, allowed_hosts) def validate_huggingface_model_identifier(model: str) -> None: """Reject URL-valued model identifiers before provider credentials are added.""" if "://" not in model: return - if is_url_model_destination(model) and not _should_reject_url_model_destinations(): + if is_url_model_destination(model) and _is_url_model_destination_allowed(model): return raise HuggingFaceError( status_code=400, message=( "Invalid Hugging Face model identifier. Configure custom endpoints with " "api_base or HF_API_BASE/HUGGINGFACE_API_BASE instead of passing a URL " - "as the model. To keep legacy URL-valued models for trusted inputs, set " - "litellm.reject_url_model_destinations=False." + "as the model. To keep legacy URL-valued models for trusted endpoints, " + "add the destination host or origin to " + "`provider_url_destination_allowed_hosts` in litellm_settings." ), ) diff --git a/litellm/llms/oobabooga/common_utils.py b/litellm/llms/oobabooga/common_utils.py index d09f03f6a62..6c863ea5558 100644 --- a/litellm/llms/oobabooga/common_utils.py +++ b/litellm/llms/oobabooga/common_utils.py @@ -2,6 +2,7 @@ from typing import Optional, Union import httpx +from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host from litellm.llms.base_llm.chat.transformation import BaseLLMException @@ -19,24 +20,26 @@ def is_url_model_destination(model: str) -> bool: return model.startswith(("http://", "https://")) -def _should_reject_url_model_destinations() -> bool: +def _is_url_model_destination_allowed(model: str) -> bool: import litellm - return getattr(litellm, "reject_url_model_destinations", True) is True + allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] + return is_url_destination_allowed_by_host(model, allowed_hosts) def validate_oobabooga_model_identifier(model: str) -> None: """Oobabooga endpoints must be configured with api_base, not model URLs.""" if "://" not in model: return - if is_url_model_destination(model) and not _should_reject_url_model_destinations(): + if is_url_model_destination(model) and _is_url_model_destination_allowed(model): return raise OobaboogaError( status_code=400, message=( "Invalid Oobabooga model identifier. Configure the endpoint with " "api_base instead of passing a URL as the model. To keep legacy " - "URL-valued models for trusted inputs, set " - "litellm.reject_url_model_destinations=False." + "URL-valued models for trusted endpoints, add the destination host " + "or origin to `provider_url_destination_allowed_hosts` in " + "litellm_settings." ), ) diff --git a/tests/test_litellm/litellm_core_utils/test_url_utils.py b/tests/test_litellm/litellm_core_utils/test_url_utils.py index 4579c203218..efe3f2b67a4 100644 --- a/tests/test_litellm/litellm_core_utils/test_url_utils.py +++ b/tests/test_litellm/litellm_core_utils/test_url_utils.py @@ -394,3 +394,45 @@ class TestHostAllowlist: monkeypatch.setattr(url_utils.socket, "getaddrinfo", fake) validate_url("http://internal.corp/") + + +class TestProviderUrlDestinationAllowlist: + def test_host_entry_matches_any_scheme_and_port(self): + assert url_utils.is_url_destination_allowed_by_host( + "https://trusted.example/v1/chat/completions", + ["trusted.example"], + ) + assert url_utils.is_url_destination_allowed_by_host( + "http://trusted.example:8080/v1/chat/completions", + ["trusted.example"], + ) + + def test_origin_entry_matches_scheme_and_default_port(self): + assert url_utils.is_url_destination_allowed_by_host( + "https://trusted.example/v1/chat/completions", + ["https://trusted.example"], + ) + assert not url_utils.is_url_destination_allowed_by_host( + "http://trusted.example/v1/chat/completions", + ["https://trusted.example"], + ) + + def test_port_entry_only_matches_same_effective_port(self): + assert url_utils.is_url_destination_allowed_by_host( + "https://trusted.example/v1/chat/completions", + ["trusted.example:443"], + ) + assert not url_utils.is_url_destination_allowed_by_host( + "https://trusted.example:8443/v1/chat/completions", + ["trusted.example:443"], + ) + + def test_rejects_userinfo_and_invalid_port(self): + assert not url_utils.is_url_destination_allowed_by_host( + "https://user:pass@trusted.example/v1/chat/completions", + ["trusted.example"], + ) + assert not url_utils.is_url_destination_allowed_by_host( + "https://trusted.example:99999/v1/chat/completions", + ["trusted.example"], + ) diff --git a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py index 88010d01459..9cadba972e4 100644 --- a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py +++ b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py @@ -7,6 +7,7 @@ from unittest.mock import Mock, patch import httpx import pytest +import litellm from litellm.llms.gemini.files.transformation import GoogleAIStudioFilesHandler from litellm.types.llms.openai import OpenAIFileObject @@ -103,6 +104,43 @@ class TestGoogleAIStudioFilesTransformation: litellm_params=litellm_params, ) + def test_transform_retrieve_file_request_allows_full_url_matching_api_base(self): + file_id = "https://custom-gemini.example/v1beta/files/test123" + litellm_params = { + "api_key": "test-api-key", + "api_base": "https://custom-gemini.example", + } + + url, params = self.handler.transform_retrieve_file_request( + file_id=file_id, + optional_params={}, + litellm_params=litellm_params, + ) + + assert url == "https://custom-gemini.example/v1beta/files/test123" + assert params == {} + + def test_transform_retrieve_file_request_allows_full_url_when_host_allowlisted( + self, + monkeypatch, + ): + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["trusted-gemini.example"], + ) + file_id = "https://trusted-gemini.example/v1beta/files/test123" + litellm_params = {"api_key": "test-api-key"} + + url, params = self.handler.transform_retrieve_file_request( + file_id=file_id, + optional_params={}, + litellm_params=litellm_params, + ) + + assert url == "https://generativelanguage.googleapis.com/v1beta/files/test123" + assert params == {} + def test_transform_retrieve_file_request_rejects_traversal_name(self): litellm_params = {"api_key": "test-api-key"} @@ -386,6 +424,21 @@ class TestGoogleAIStudioFilesTransformation: litellm_params=litellm_params, ) + def test_transform_delete_file_request_allows_full_url_matching_api_base(self): + litellm_params = { + "api_key": "test-api-key", + "api_base": "https://custom-gemini.example", + } + + url, params = self.handler.transform_delete_file_request( + file_id="https://custom-gemini.example/v1beta/files/test123", + optional_params={}, + litellm_params=litellm_params, + ) + + assert url == "https://custom-gemini.example/v1beta/files/test123" + assert params == {} + def test_transform_delete_file_request_rejects_encoded_traversal_url(self): litellm_params = { "api_key": "test-api-key", diff --git a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py index f4c2c372009..27e3b855def 100644 --- a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py +++ b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py @@ -26,10 +26,12 @@ def test_huggingface_chat_rejects_url_valued_model(): assert exc_info.value.status_code == 400 -def test_huggingface_chat_allows_legacy_url_model_when_rejection_disabled( +def test_huggingface_chat_allows_legacy_url_model_when_host_is_allowlisted( monkeypatch, ): - monkeypatch.setattr(litellm, "reject_url_model_destinations", False) + monkeypatch.setattr( + litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] + ) config = HuggingFaceChatConfig() complete_url = config.get_complete_url( @@ -43,6 +45,26 @@ def test_huggingface_chat_allows_legacy_url_model_when_rejection_disabled( assert complete_url == "https://trusted.example/v1/chat/completions" +def test_huggingface_chat_rejects_url_model_when_host_is_not_allowlisted( + monkeypatch, +): + monkeypatch.setattr( + litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] + ) + config = HuggingFaceChatConfig() + + with pytest.raises(HuggingFaceError) as exc_info: + config.get_complete_url( + api_base=None, + api_key="hf-secret", + model="https://other.example", + optional_params={}, + litellm_params={}, + ) + + assert exc_info.value.status_code == 400 + + def test_huggingface_chat_keeps_explicit_api_base_for_custom_endpoints(): config = HuggingFaceChatConfig() @@ -69,10 +91,14 @@ def test_huggingface_embedding_config_rejects_url_valued_model(): assert exc_info.value.status_code == 400 -def test_huggingface_embedding_config_allows_legacy_url_model_when_rejection_disabled( +def test_huggingface_embedding_config_allows_legacy_url_model_when_origin_is_allowlisted( monkeypatch, ): - monkeypatch.setattr(litellm, "reject_url_model_destinations", False) + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["https://trusted.example"], + ) config = HuggingFaceEmbeddingConfig() api_base = config.get_api_base( diff --git a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py index 2e43c01f381..5ed0cdca033 100644 --- a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py +++ b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py @@ -27,10 +27,12 @@ def test_oobabooga_completion_rejects_url_valued_model_before_request(): mock_get.assert_not_called() -def test_oobabooga_completion_allows_legacy_url_model_when_rejection_disabled( +def test_oobabooga_completion_allows_legacy_url_model_when_host_is_allowlisted( monkeypatch, ): - monkeypatch.setattr(litellm, "reject_url_model_destinations", False) + monkeypatch.setattr( + litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] + ) response = MagicMock() client = MagicMock() client.post.return_value = response @@ -63,6 +65,32 @@ def test_oobabooga_completion_allows_legacy_url_model_when_rejection_disabled( ) +def test_oobabooga_completion_rejects_url_model_when_host_is_not_allowlisted( + monkeypatch, +): + monkeypatch.setattr( + litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] + ) + + with patch("litellm.llms.oobabooga.chat.oobabooga._get_httpx_client") as mock_get: + with pytest.raises(OobaboogaError) as exc_info: + completion( + model="https://other.example", + messages=[], + api_base=None, + model_response=MagicMock(), + print_verbose=MagicMock(), + encoding=MagicMock(), + api_key="ooba-secret", + logging_obj=MagicMock(), + optional_params={}, + litellm_params={}, + ) + + assert exc_info.value.status_code == 400 + mock_get.assert_not_called() + + def test_oobabooga_embedding_rejects_url_valued_model_before_request(): with patch( "litellm.llms.oobabooga.chat.oobabooga.litellm.module_level_client.post" From ba1188117d3ca5564d42825d6167dd6d37795a26 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 15:34:07 -0700 Subject: [PATCH 061/160] fix cloud storage file guards --- litellm/integrations/gcs_bucket/gcs_bucket.py | 13 +- .../gcs_bucket/gcs_bucket_base.py | 13 +- .../cloud_storage_security.py | 140 ++++++++++++++++++ .../initialize_dynamic_callback_params.py | 9 ++ litellm/llms/bedrock/files/handler.py | 50 ++++--- litellm/llms/bedrock/files/transformation.py | 47 ++++-- litellm/llms/vertex_ai/files/handler.py | 63 ++++---- .../llms/vertex_ai/files/transformation.py | 85 ++++++----- .../gcs_bucket/test_gcs_bucket_base.py | 44 +++++- ...test_initialize_dynamic_callback_params.py | 19 ++- .../files/test_bedrock_files_handler.py | 85 +++++++++++ .../test_bedrock_files_transformation.py | 66 +++++---- .../files/test_vertex_ai_files_handler.py | 116 ++++++++++----- .../test_vertex_ai_files_transformation.py | 109 +++++++++++--- 14 files changed, 658 insertions(+), 201 deletions(-) create mode 100644 litellm/litellm_core_utils/cloud_storage_security.py create mode 100644 tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py diff --git a/litellm/integrations/gcs_bucket/gcs_bucket.py b/litellm/integrations/gcs_bucket/gcs_bucket.py index 65296bafcf3..90057984235 100644 --- a/litellm/integrations/gcs_bucket/gcs_bucket.py +++ b/litellm/integrations/gcs_bucket/gcs_bucket.py @@ -6,12 +6,14 @@ import time from litellm._uuid import uuid from datetime import datetime, timedelta, timezone from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple -from urllib.parse import quote from litellm._logging import verbose_logger from litellm.constants import LITELLM_ASYNCIO_QUEUE_MAXSIZE from litellm.integrations.additional_logging_utils import AdditionalLoggingUtils from litellm.integrations.gcs_bucket.gcs_bucket_base import GCSBucketBase +from litellm.litellm_core_utils.cloud_storage_security import ( + sanitize_cloud_object_component, +) from litellm.proxy._types import CommonProxyErrors from litellm.types.integrations.base_health_check import IntegrationHealthCheckStatus from litellm.types.integrations.gcs_bucket import * @@ -335,7 +337,11 @@ class GCSBucketLogger(GCSBucketBase, AdditionalLoggingUtils): _litellm_params = kwargs.get("litellm_params", None) or {} _metadata = _litellm_params.get("metadata", None) or {} if "gcs_log_id" in _metadata: - object_name = _metadata["gcs_log_id"] + safe_log_id = sanitize_cloud_object_component( + _metadata.get("gcs_log_id"), fallback="" + ) + if safe_log_id: + object_name = f"{current_date}/custom-{uuid.uuid4().hex}-{safe_log_id}" return object_name @@ -367,8 +373,7 @@ class GCSBucketLogger(GCSBucketBase, AdditionalLoggingUtils): request_date_str=date_str, response_id=request_id, ) - encoded_object_name = quote(object_name, safe="") - response = await self.download_gcs_object(encoded_object_name) + response = await self.download_gcs_object(object_name) if response is not None: loaded_response = json.loads(response) diff --git a/litellm/integrations/gcs_bucket/gcs_bucket_base.py b/litellm/integrations/gcs_bucket/gcs_bucket_base.py index e84b37e689b..1c5e30777a2 100644 --- a/litellm/integrations/gcs_bucket/gcs_bucket_base.py +++ b/litellm/integrations/gcs_bucket/gcs_bucket_base.py @@ -11,6 +11,10 @@ from litellm.integrations.gcs_bucket.gcs_bucket_mock_client import ( from litellm._logging import verbose_logger from litellm.integrations.custom_batch_logger import CustomBatchLogger +from litellm.litellm_core_utils.cloud_storage_security import ( + encode_gcs_object_name_for_url, + split_configured_cloud_bucket_name, +) from litellm.llms.custom_httpx.http_handler import ( get_async_httpx_client, httpxSpecialProvider, @@ -133,8 +137,8 @@ class GCSBucketBase(CustomBatchLogger): - Returns: bucket_name="my-bucket", object_name="my-folder/dev/my-object" """ - if "/" in bucket_name: - bucket_name, prefix = bucket_name.split("/", 1) + bucket_name, prefix = split_configured_cloud_bucket_name(bucket_name) + if prefix: object_name = f"{prefix}/{object_name}" return bucket_name, object_name return bucket_name, object_name @@ -248,6 +252,7 @@ class GCSBucketBase(CustomBatchLogger): bucket_name=bucket_name, object_name=object_name, ) + object_name = encode_gcs_object_name_for_url(object_name) url = f"https://storage.googleapis.com/storage/v1/b/{bucket_name}/o/{object_name}?alt=media" @@ -288,6 +293,7 @@ class GCSBucketBase(CustomBatchLogger): bucket_name=bucket_name, object_name=object_name, ) + object_name = encode_gcs_object_name_for_url(object_name) url = f"https://storage.googleapis.com/storage/v1/b/{bucket_name}/o/{object_name}" @@ -334,10 +340,11 @@ class GCSBucketBase(CustomBatchLogger): bucket_name=bucket_name, object_name=object_name, ) + encoded_object_name = encode_gcs_object_name_for_url(object_name) response = await self.async_httpx_client.post( headers=headers, - url=f"https://storage.googleapis.com/upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={object_name}", + url=f"https://storage.googleapis.com/upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={encoded_object_name}", data=json_logged_payload, ) diff --git a/litellm/litellm_core_utils/cloud_storage_security.py b/litellm/litellm_core_utils/cloud_storage_security.py new file mode 100644 index 00000000000..3c60e0cd523 --- /dev/null +++ b/litellm/litellm_core_utils/cloud_storage_security.py @@ -0,0 +1,140 @@ +import posixpath +import re +from typing import Optional, Sequence, Tuple +from urllib.parse import quote, unquote + +from litellm._uuid import uuid + +VERTEX_AI_MANAGED_GCS_PREFIX = "litellm-vertex-files/" +BEDROCK_MANAGED_S3_BATCH_PREFIX = "litellm-bedrock-files-" +BEDROCK_MANAGED_S3_UPLOAD_PREFIX = "litellm-bedrock-files/" +BEDROCK_MANAGED_S3_OUTPUT_PREFIX = "litellm-batch-outputs/" +BEDROCK_MANAGED_S3_PREFIXES = ( + BEDROCK_MANAGED_S3_BATCH_PREFIX, + BEDROCK_MANAGED_S3_UPLOAD_PREFIX, + BEDROCK_MANAGED_S3_OUTPUT_PREFIX, +) + +_SAFE_OBJECT_COMPONENT_PATTERN = re.compile(r"[^A-Za-z0-9._-]+") + + +def sanitize_cloud_object_component( + value: Optional[str], fallback: str = "file" +) -> str: + if not isinstance(value, str): + return fallback + + component = posixpath.basename(value.replace("\\", "/")).strip() + if component in {"", ".", ".."}: + return fallback + + component = "".join( + "_" if ord(char) < 32 or ord(char) == 127 else char for char in component + ) + component = _SAFE_OBJECT_COMPONENT_PATTERN.sub("_", component) + component = component.strip("._") + if not component: + return fallback + return component[:255] + + +def sanitize_cloud_object_path(value: Optional[str], fallback: str = "file") -> str: + if not isinstance(value, str): + return fallback + + segments = [] + for segment in value.replace("\\", "/").split("/"): + sanitized_segment = sanitize_cloud_object_component(segment, fallback="") + if sanitized_segment: + segments.append(sanitized_segment) + + if not segments: + return fallback + return "/".join(segments) + + +def build_managed_cloud_object_name( + prefix: str, filename: Optional[str], fallback_filename: str = "file" +) -> str: + safe_filename = sanitize_cloud_object_component( + filename, fallback=fallback_filename + ) + return f"{prefix}{uuid.uuid4().hex}-{safe_filename}" + + +def _validate_cloud_object_path(object_name: str) -> None: + if not object_name: + raise ValueError("Cloud storage object name is required") + if object_name.startswith("/"): + raise ValueError("Cloud storage object name must be relative") + if any(ord(char) < 32 or ord(char) == 127 for char in object_name): + raise ValueError("Cloud storage object name contains control characters") + if any(segment in {".", ".."} for segment in object_name.split("/")): + raise ValueError("Cloud storage object name contains an invalid path segment") + + +def split_configured_cloud_bucket_name(bucket_name: str) -> Tuple[str, str]: + if not isinstance(bucket_name, str) or not bucket_name.strip(): + raise ValueError("Cloud storage bucket name is required") + + bucket_name = bucket_name.strip() + if "://" in bucket_name or "?" in bucket_name or "#" in bucket_name: + raise ValueError( + "Cloud storage bucket name must not include a URI scheme or query" + ) + if any(ord(char) < 32 or ord(char) == 127 for char in bucket_name): + raise ValueError("Cloud storage bucket name contains control characters") + + bucket, _, prefix = bucket_name.partition("/") + if not bucket: + raise ValueError("Cloud storage bucket name is required") + if "\\" in bucket: + raise ValueError("Cloud storage bucket name contains an invalid separator") + + prefix = prefix.strip("/") + if prefix: + _validate_cloud_object_path(prefix) + + return bucket, prefix + + +def encode_gcs_object_name_for_url(object_name: str) -> str: + return quote(unquote(object_name), safe="") + + +def encode_s3_object_key_for_url(object_key: str) -> str: + return quote(unquote(object_key), safe="/") + + +def validate_managed_cloud_file_id( + file_id: str, + scheme: str, + configured_bucket_name: str, + allowed_object_prefixes: Sequence[str], +) -> Tuple[str, str]: + decoded_file_id = unquote(file_id) + if not decoded_file_id.startswith(scheme): + raise ValueError(f"file_id must be a {scheme} URI") + + full_path = decoded_file_id[len(scheme) :] + if "/" not in full_path: + raise ValueError("file_id must include a cloud storage object name") + + bucket_name, object_name = full_path.split("/", 1) + configured_bucket, configured_prefix = split_configured_cloud_bucket_name( + configured_bucket_name + ) + if bucket_name != configured_bucket: + raise ValueError("file_id bucket does not match the configured storage bucket") + + _validate_cloud_object_path(object_name) + allowed_prefixes = tuple(allowed_object_prefixes) + if configured_prefix: + allowed_prefixes = tuple( + f"{configured_prefix.rstrip('/')}/{prefix}" for prefix in allowed_prefixes + ) + + if not object_name.startswith(allowed_prefixes): + raise ValueError("file_id must reference a LiteLLM-managed storage object") + + return bucket_name, object_name diff --git a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py index ffb6436f387..f7e3470bab2 100644 --- a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py +++ b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py @@ -57,6 +57,11 @@ _supported_callback_params = [ "lunary_public_key", ] +_request_blocked_callback_params = { + "gcs_bucket_name", + "gcs_path_service_account", +} + def initialize_standard_callback_dynamic_params( kwargs: Optional[Dict] = None, @@ -71,6 +76,8 @@ def initialize_standard_callback_dynamic_params( if kwargs: # 1. Check top-level kwargs for param in _supported_callback_params: + if param in _request_blocked_callback_params: + continue if param in kwargs: _param_value = kwargs.get(param) validate_no_callback_env_reference( @@ -86,6 +93,8 @@ def initialize_standard_callback_dynamic_params( if isinstance(metadata, dict): for param in _supported_callback_params: + if param in _request_blocked_callback_params: + continue if param not in standard_callback_dynamic_params and param in metadata: _param_value = metadata.get(param) validate_no_callback_env_reference( diff --git a/litellm/llms/bedrock/files/handler.py b/litellm/llms/bedrock/files/handler.py index 13bd87a1f01..6061fc8c0c9 100644 --- a/litellm/llms/bedrock/files/handler.py +++ b/litellm/llms/bedrock/files/handler.py @@ -1,10 +1,15 @@ import asyncio import base64 +import os from typing import Any, Coroutine, Optional, Tuple, Union import httpx from litellm import LlmProviders +from litellm.litellm_core_utils.cloud_storage_security import ( + BEDROCK_MANAGED_S3_PREFIXES, + validate_managed_cloud_file_id, +) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client from litellm.types.llms.openai import ( FileContentRequest, @@ -35,7 +40,7 @@ class BedrockFilesHandler(BaseAWSLLM): The file ID can be in two formats: 1. Base64-encoded unified file ID containing: llm_output_file_id,s3://bucket/path - 2. Direct S3 URI: s3://bucket/path + 2. Direct S3 URI: s3://bucket/litellm-managed-prefix/path Args: file_id: Encoded file ID or direct S3 URI @@ -58,14 +63,16 @@ class BedrockFilesHandler(BaseAWSLLM): except Exception: pass - # If not base64 encoded or doesn't contain llm_output_file_id, assume it's already an S3 URI + # If not base64 encoded or doesn't contain llm_output_file_id, accept only + # explicit S3 URIs. Bucket and key validation happens before any S3 call. if file_id.startswith("s3://"): return file_id - # If it doesn't start with s3://, assume it's a direct S3 URI and add the prefix - return f"s3://{file_id}" + raise ValueError("file_id must be a managed LiteLLM S3 file id") - def _parse_s3_uri(self, s3_uri: str) -> Tuple[str, str]: + def _parse_s3_uri( + self, s3_uri: str, configured_bucket_name: str + ) -> Tuple[str, str]: """ Parse S3 URI to extract bucket name and object key. @@ -75,21 +82,22 @@ class BedrockFilesHandler(BaseAWSLLM): Returns: Tuple of (bucket_name, object_key) """ - if not s3_uri.startswith("s3://"): + return validate_managed_cloud_file_id( + file_id=s3_uri, + scheme="s3://", + configured_bucket_name=configured_bucket_name, + allowed_object_prefixes=BEDROCK_MANAGED_S3_PREFIXES, + ) + + def _get_configured_s3_bucket_name(self, optional_params: dict) -> str: + bucket_name = optional_params.get("s3_bucket_name") or os.getenv( + "AWS_S3_BUCKET_NAME" + ) + if not bucket_name: raise ValueError( - f"Invalid S3 URI format: {s3_uri}. Expected format: s3://bucket-name/path/to/file" + "S3 bucket_name is required. Set 's3_bucket_name' or AWS_S3_BUCKET_NAME." ) - - # Remove 's3://' prefix - path = s3_uri[5:] - - if "/" in path: - bucket_name, object_key = path.split("/", 1) - else: - bucket_name = path - object_key = "" - - return bucket_name, object_key + return bucket_name async def afile_content( self, @@ -119,7 +127,11 @@ class BedrockFilesHandler(BaseAWSLLM): # Extract S3 URI from file ID s3_uri = self._extract_s3_uri_from_file_id(file_id) - bucket_name, object_key = self._parse_s3_uri(s3_uri) + configured_bucket_name = self._get_configured_s3_bucket_name(optional_params) + bucket_name, object_key = self._parse_s3_uri( + s3_uri=s3_uri, + configured_bucket_name=configured_bucket_name, + ) # Get AWS credentials aws_region_name = self._get_aws_region_name( diff --git a/litellm/llms/bedrock/files/transformation.py b/litellm/llms/bedrock/files/transformation.py index 3007b54808c..6669363093b 100644 --- a/litellm/llms/bedrock/files/transformation.py +++ b/litellm/llms/bedrock/files/transformation.py @@ -2,6 +2,7 @@ import json import os import time from typing import Any, Dict, List, Optional, Tuple, Union +from urllib.parse import unquote import httpx from httpx import Headers, Response @@ -10,6 +11,14 @@ from openai.types.file_deleted import FileDeleted from litellm._logging import verbose_logger from litellm._uuid import uuid from litellm.files.utils import FilesAPIUtils +from litellm.litellm_core_utils.cloud_storage_security import ( + BEDROCK_MANAGED_S3_BATCH_PREFIX, + BEDROCK_MANAGED_S3_UPLOAD_PREFIX, + build_managed_cloud_object_name, + encode_s3_object_key_for_url, + sanitize_cloud_object_component, + split_configured_cloud_bucket_name, +) from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data from litellm.llms.base_llm.chat.transformation import BaseLLMException from litellm.llms.base_llm.files.transformation import ( @@ -116,10 +125,13 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): if _model.startswith("bedrock/"): _model = _model[8:] - # Replace colons with hyphens for Bedrock S3 URI compliance - _model = _model.replace(":", "-") + safe_model = sanitize_cloud_object_component( + _model.replace(":", "-"), fallback="model" + ) - object_name = f"litellm-bedrock-files-{_model}-{uuid.uuid4()}.jsonl" + object_name = ( + f"{BEDROCK_MANAGED_S3_BATCH_PREFIX}{safe_model}-{uuid.uuid4()}.jsonl" + ) return object_name def get_object_name( @@ -146,12 +158,13 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): if len(openai_jsonl_content) > 0: return self._get_s3_object_name_from_batch_jsonl(openai_jsonl_content) - ## 2. If not jsonl, return the filename + ## 2. If not jsonl, store under a server-generated managed object name filename = extracted_file_data.get("filename") - if filename: - return filename - ## 3. If no file name, return timestamp - return str(int(time.time())) + return build_managed_cloud_object_name( + prefix=BEDROCK_MANAGED_S3_UPLOAD_PREFIX, + filename=filename, + fallback_filename="file", + ) def get_complete_file_url( self, @@ -172,6 +185,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): raise ValueError( "S3 bucket_name is required. Set 's3_bucket_name' in litellm_params or AWS_S3_BUCKET_NAME env var" ) + bucket_name, object_prefix = split_configured_cloud_bucket_name(bucket_name) s3_region_name = litellm_params.get("s3_region_name") or optional_params.get( "s3_region_name" @@ -188,14 +202,17 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): raise ValueError("purpose is required") extracted_file_data = extract_file_data(file_data) object_name = self.get_object_name(extracted_file_data, purpose) + if object_prefix: + object_name = f"{object_prefix}/{object_name}" + encoded_object_name = encode_s3_object_key_for_url(object_name) # S3 endpoint URL format s3_endpoint_url = ( optional_params.get("s3_endpoint_url") or f"https://s3.{aws_region_name}.amazonaws.com" - ) + ).rstrip("/") - return f"{s3_endpoint_url}/{bucket_name}/{object_name}" + return f"{s3_endpoint_url}/{bucket_name}/{encoded_object_name}" def get_supported_openai_params( self, model: str @@ -532,10 +549,12 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): if match1: # Pattern: https://s3.region.amazonaws.com/bucket/key region, bucket, key = match1.groups() + key = unquote(key) s3_uri = f"s3://{bucket}/{key}" elif match2: # Pattern: https://bucket.s3.region.amazonaws.com/key bucket, region, key = match2.groups() + key = unquote(key) s3_uri = f"s3://{bucket}/{key}" else: # Fallback: try to extract bucket and key from URL path @@ -545,6 +564,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): path_parts = parsed.path.lstrip("/").split("/", 1) if len(path_parts) >= 2: bucket, key = path_parts[0], path_parts[1] + key = unquote(key) s3_uri = f"s3://{bucket}/{key}" else: raise ValueError(f"Unable to parse S3 URL: {https_url}") @@ -722,7 +742,12 @@ class BedrockJsonlFilesTransformation: # Remove bedrock/ prefix if present if _model.startswith("bedrock/"): _model = _model[8:] - object_name = f"litellm-bedrock-files-{_model}-{uuid.uuid4()}.jsonl" + safe_model = sanitize_cloud_object_component( + _model.replace(":", "-"), fallback="model" + ) + object_name = ( + f"{BEDROCK_MANAGED_S3_BATCH_PREFIX}{safe_model}-{uuid.uuid4()}.jsonl" + ) return object_name def _get_content_from_openai_file(self, openai_file_content: FileTypes) -> str: diff --git a/litellm/llms/vertex_ai/files/handler.py b/litellm/llms/vertex_ai/files/handler.py index 6636bccd6a3..48683ba41ae 100644 --- a/litellm/llms/vertex_ai/files/handler.py +++ b/litellm/llms/vertex_ai/files/handler.py @@ -1,5 +1,5 @@ import asyncio -import urllib.parse +from urllib.parse import unquote from typing import Any, Coroutine, Optional, Tuple, Union import httpx @@ -9,6 +9,10 @@ from litellm.integrations.gcs_bucket.gcs_bucket_base import ( GCSBucketBase, GCSLoggingConfig, ) +from litellm.litellm_core_utils.cloud_storage_security import ( + VERTEX_AI_MANAGED_GCS_PREFIX, + validate_managed_cloud_file_id, +) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client from litellm.types.llms.openai import ( CreateFileRequest, @@ -112,34 +116,25 @@ class VertexAIFilesHandler(GCSBucketBase): ) ) - def _extract_bucket_and_object_from_file_id(self, file_id: str) -> Tuple[str, str]: + def _extract_bucket_and_object_from_file_id( + self, file_id: str, configured_bucket_name: str + ) -> Tuple[str, str]: """ - Extract bucket name and object path from URL-encoded file_id. + Validate and extract bucket name and object path from file_id. - Expected format: gs%3A%2F%2Fbucket-name%2Fpath%2Fto%2Ffile - Which decodes to: gs://bucket-name/path/to/file + Expected format: gs://bucket-name/litellm-vertex-files/path/to/file Returns: - tuple: (bucket_name, url_encoded_object_path) + tuple: (bucket_name, object_path) - bucket_name: "bucket-name" - - url_encoded_object_path: "path%2Fto%2Ffile" + - object_path: "litellm-vertex-files/path/to/file" """ - decoded_path = urllib.parse.unquote(file_id) - - if decoded_path.startswith("gs://"): - full_path = decoded_path[5:] # Remove 'gs://' prefix - else: - full_path = decoded_path - - if "/" in full_path: - bucket_name, object_path = full_path.split("/", 1) - else: - bucket_name = full_path - object_path = "" - - encoded_object_path = urllib.parse.quote(object_path, safe="") - - return bucket_name, encoded_object_path + return validate_managed_cloud_file_id( + file_id=file_id, + scheme="gs://", + configured_bucket_name=configured_bucket_name, + allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,), + ) async def afile_content( self, @@ -168,28 +163,34 @@ class VertexAIFilesHandler(GCSBucketBase): if not file_id: raise ValueError("file_id is required in file_content_request") - bucket_name, encoded_object_path = self._extract_bucket_and_object_from_file_id( - file_id + gcs_logging_config: GCSLoggingConfig = await self.get_gcs_logging_config( + kwargs={} + ) + bucket_name, object_path = self._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name=gcs_logging_config["bucket_name"], ) download_kwargs = { - "standard_callback_dynamic_params": {"gcs_bucket_name": bucket_name} + "standard_callback_dynamic_params": { + "gcs_bucket_name": bucket_name, + "gcs_path_service_account": gcs_logging_config["path_service_account"], + } } file_content = await self.download_gcs_object( - object_name=encoded_object_path, **download_kwargs + object_name=object_path, **download_kwargs ) + decoded_file_id = unquote(file_id) if file_content is None: - decoded_path = urllib.parse.unquote(file_id) - raise ValueError(f"Failed to download file from GCS: {decoded_path}") + raise ValueError(f"Failed to download file from GCS: {decoded_file_id}") - decoded_path = urllib.parse.unquote(file_id) mock_response = httpx.Response( status_code=200, content=file_content, headers={"content-type": "application/octet-stream"}, - request=httpx.Request(method="GET", url=decoded_path), + request=httpx.Request(method="GET", url=decoded_file_id), ) return HttpxBinaryResponseContent(response=mock_response) diff --git a/litellm/llms/vertex_ai/files/transformation.py b/litellm/llms/vertex_ai/files/transformation.py index 070ec508283..b864ad43136 100644 --- a/litellm/llms/vertex_ai/files/transformation.py +++ b/litellm/llms/vertex_ai/files/transformation.py @@ -1,6 +1,5 @@ import json import os -import time from typing import Any, Dict, List, Optional, Tuple, Union from httpx import Headers, Response @@ -8,6 +7,14 @@ from openai.types.file_deleted import FileDeleted from litellm._uuid import uuid from litellm.files.utils import FilesAPIUtils +from litellm.litellm_core_utils.cloud_storage_security import ( + VERTEX_AI_MANAGED_GCS_PREFIX, + build_managed_cloud_object_name, + encode_gcs_object_name_for_url, + sanitize_cloud_object_path, + split_configured_cloud_bucket_name, + validate_managed_cloud_file_id, +) from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data from litellm.llms.base_llm.chat.transformation import BaseLLMException from litellm.llms.base_llm.files.transformation import ( @@ -119,7 +126,8 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): _model = openai_jsonl_content[0].get("body", {}).get("model", "") if "publishers/google/models" not in _model: _model = f"publishers/google/models/{_model}" - object_name = f"litellm-vertex-files/{_model}/{uuid.uuid4()}" + safe_model_path = sanitize_cloud_object_path(_model, fallback="model") + object_name = f"{VERTEX_AI_MANAGED_GCS_PREFIX}{safe_model_path}/{uuid.uuid4()}" return object_name def get_object_name( @@ -146,12 +154,19 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): if len(openai_jsonl_content) > 0: return self._get_gcs_object_name_from_batch_jsonl(openai_jsonl_content) - ## 2. If not jsonl, return the filename + ## 2. If not jsonl, store under a server-generated managed object name filename = extracted_file_data.get("filename") - if filename: - return filename - ## 3. If no file name, return timestamp - return str(int(time.time())) + return build_managed_cloud_object_name( + prefix=f"{VERTEX_AI_MANAGED_GCS_PREFIX}uploads/", + filename=filename, + fallback_filename="file", + ) + + def _get_configured_bucket_name(self, litellm_params: Dict) -> str: + bucket_name = litellm_params.get("bucket_name") or os.getenv("GCS_BUCKET_NAME") + if not bucket_name: + raise ValueError("GCS bucket_name is required") + return bucket_name def get_complete_file_url( self, @@ -165,13 +180,8 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): """ Get the complete url for the request """ - bucket_name = ( - litellm_params.get("bucket_name") - or litellm_params.get("litellm_metadata", {}).pop("gcs_bucket_name", None) - or os.getenv("GCS_BUCKET_NAME") - ) - if not bucket_name: - raise ValueError("GCS bucket_name is required") + bucket_name = self._get_configured_bucket_name(litellm_params) + bucket_name, object_prefix = split_configured_cloud_bucket_name(bucket_name) file_data = data.get("file") purpose = data.get("purpose") if file_data is None: @@ -180,9 +190,10 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): raise ValueError("purpose is required") extracted_file_data = extract_file_data(file_data) object_name = self.get_object_name(extracted_file_data, purpose) - endpoint = ( - f"upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={object_name}" - ) + if object_prefix: + object_name = f"{object_prefix}/{object_name}" + encoded_object_name = encode_gcs_object_name_for_url(object_name) + endpoint = f"upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={encoded_object_name}" api_base = api_base or "https://storage.googleapis.com" if not api_base: raise ValueError("api_base is required") @@ -339,27 +350,20 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): status_code=status_code, message=error_message, headers=headers ) - def _parse_gcs_uri(self, file_id: str) -> Tuple[str, str]: + def _parse_gcs_uri( + self, file_id: str, litellm_params: Optional[Dict] = None + ) -> Tuple[str, str]: """ - Parse a GCS URI (gs://bucket/path/to/object) into (bucket, url-encoded-object-path). - Handles both raw and URL-encoded input. + Validate a managed GCS file_id and return (bucket, url-encoded-object-path). """ - import urllib.parse - - decoded = urllib.parse.unquote(file_id) - if decoded.startswith("gs://"): - full_path = decoded[5:] - else: - full_path = decoded - - if "/" in full_path: - bucket_name, object_path = full_path.split("/", 1) - else: - bucket_name = full_path - object_path = "" - - encoded_object = urllib.parse.quote(object_path, safe="") - return bucket_name, encoded_object + configured_bucket_name = self._get_configured_bucket_name(litellm_params or {}) + bucket_name, object_path = validate_managed_cloud_file_id( + file_id=file_id, + scheme="gs://", + configured_bucket_name=configured_bucket_name, + allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,), + ) + return bucket_name, encode_gcs_object_name_for_url(object_path) def transform_retrieve_file_request( self, @@ -367,7 +371,7 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): optional_params: dict, litellm_params: dict, ) -> tuple[str, dict]: - bucket, encoded_object = self._parse_gcs_uri(file_id) + bucket, encoded_object = self._parse_gcs_uri(file_id, litellm_params) url = f"https://storage.googleapis.com/storage/v1/b/{bucket}/o/{encoded_object}" return url, {} @@ -399,7 +403,7 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): optional_params: dict, litellm_params: dict, ) -> tuple[str, dict]: - bucket, encoded_object = self._parse_gcs_uri(file_id) + bucket, encoded_object = self._parse_gcs_uri(file_id, litellm_params) url = f"https://storage.googleapis.com/storage/v1/b/{bucket}/o/{encoded_object}" return url, {} @@ -443,7 +447,7 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): litellm_params: dict, ) -> tuple[str, dict]: file_id = file_content_request.get("file_id", "") - bucket, encoded_object = self._parse_gcs_uri(file_id) + bucket, encoded_object = self._parse_gcs_uri(file_id, litellm_params) url = f"https://storage.googleapis.com/storage/v1/b/{bucket}/o/{encoded_object}?alt=media" return url, {} @@ -528,7 +532,8 @@ class VertexAIJsonlFilesTransformation(VertexGeminiConfig): _model = openai_jsonl_content[0].get("body", {}).get("model", "") if "publishers/google/models" not in _model: _model = f"publishers/google/models/{_model}" - object_name = f"litellm-vertex-files/{_model}/{uuid.uuid4()}" + safe_model_path = sanitize_cloud_object_path(_model, fallback="model") + object_name = f"{VERTEX_AI_MANAGED_GCS_PREFIX}{safe_model_path}/{uuid.uuid4()}" return object_name def _map_openai_to_vertex_params( diff --git a/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py b/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py index d7b2a842bc0..a4e16500aee 100644 --- a/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py +++ b/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py @@ -1,5 +1,9 @@ import os -from unittest.mock import patch +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from litellm.integrations.gcs_bucket.gcs_bucket import GCSBucketLogger from litellm.integrations.gcs_bucket.gcs_bucket_base import GCSBucketBase @@ -86,3 +90,41 @@ class TestGCSBucketBase: project_id=None, # Should be None when no env var is set custom_llm_provider="vertex_ai", ) + + @pytest.mark.asyncio + async def test_log_json_data_on_gcs_url_encodes_object_name(self): + handler = GCSBucketBase(bucket_name="test-bucket") + handler.async_httpx_client = AsyncMock() + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"name": "logs/object"} + handler.async_httpx_client.post.return_value = mock_response + + await handler._log_json_data_on_gcs( + headers={"Authorization": "Bearer token"}, + bucket_name="test-bucket", + object_name="logs/object?uploadType=media&name=evil", + logging_payload={"ok": True}, + ) + + post_url = handler.async_httpx_client.post.call_args.kwargs["url"] + assert "name=logs%2Fobject%3FuploadType%3Dmedia%26name%3Devil" in post_url + assert "name=logs/object?" not in post_url + + def test_gcs_log_id_is_only_used_as_sanitized_hint(self): + logger = GCSBucketLogger.__new__(GCSBucketLogger) + + object_name = logger._get_object_name( + kwargs={ + "litellm_params": { + "metadata": {"gcs_log_id": "../../target?uploadType=media"} + } + }, + logging_payload={"id": "payload"}, + response_obj={"id": "response-id"}, + ) + + assert "/custom-" in object_name + assert object_name.endswith("-target_uploadType_media") + assert ".." not in object_name + assert "?" not in object_name diff --git a/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py b/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py index 55f3c2ba3aa..f63216b96d4 100644 --- a/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py +++ b/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py @@ -64,7 +64,7 @@ def test_env_reference_in_metadata_raises_with_guidance(): assert "metadata" in message -def test_env_reference_in_litellm_params_metadata_raises(): +def test_gcs_bucket_name_in_litellm_params_metadata_is_ignored(): kwargs = { "litellm_params": { "metadata": { @@ -73,10 +73,21 @@ def test_env_reference_in_litellm_params_metadata_raises(): } } - with pytest.raises(ValueError) as exc_info: - initialize_standard_callback_dynamic_params(kwargs) + params = initialize_standard_callback_dynamic_params(kwargs) - assert "gcs_bucket_name" in str(exc_info.value) + assert params.get("gcs_bucket_name") is None + + +def test_gcs_callback_params_are_not_extracted_from_request_kwargs(): + kwargs = { + "gcs_bucket_name": "server-bucket", + "gcs_path_service_account": "/path/to/service-account.json", + } + + params = initialize_standard_callback_dynamic_params(kwargs) + + assert params.get("gcs_bucket_name") is None + assert params.get("gcs_path_service_account") is None def test_non_string_values_are_not_flagged(): diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py new file mode 100644 index 00000000000..b8375748295 --- /dev/null +++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py @@ -0,0 +1,85 @@ +import base64 + +import pytest + +from litellm.llms.bedrock.files.handler import BedrockFilesHandler +from litellm.types.utils import SpecialEnums + + +def _encode_unified_file_id(s3_uri: str) -> str: + unified_file_id = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", + "unified-id", + "", + s3_uri, + "model-id", + ) + return base64.urlsafe_b64encode(unified_file_id.encode()).decode().rstrip("=") + + +class TestBedrockFilesHandler: + def setup_method(self): + self.handler = BedrockFilesHandler() + + def test_should_parse_direct_managed_s3_uri(self): + bucket, key = self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/litellm-bedrock-files-model-id-abc.jsonl", + configured_bucket_name="safe-bucket", + ) + + assert bucket == "safe-bucket" + assert key == "litellm-bedrock-files-model-id-abc.jsonl" + + def test_should_parse_managed_batch_output_uri(self): + bucket, key = self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/litellm-batch-outputs/job/", + configured_bucket_name="safe-bucket", + ) + + assert bucket == "safe-bucket" + assert key == "litellm-batch-outputs/job/" + + def test_should_reject_arbitrary_bucket(self): + with pytest.raises(ValueError, match="configured storage bucket"): + self.handler._parse_s3_uri( + s3_uri="s3://other-bucket/litellm-bedrock-files-model-id-abc.jsonl", + configured_bucket_name="safe-bucket", + ) + + def test_should_reject_unmanaged_same_bucket_key(self): + with pytest.raises(ValueError, match="LiteLLM-managed"): + self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/private/output.jsonl", + configured_bucket_name="safe-bucket", + ) + + def test_should_reject_dot_segment_key(self): + with pytest.raises(ValueError, match="invalid path segment"): + self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/litellm-bedrock-files/../secret.jsonl", + configured_bucket_name="safe-bucket", + ) + + def test_should_extract_unified_managed_s3_uri(self): + file_id = _encode_unified_file_id( + "s3://safe-bucket/litellm-batch-outputs/job/output.jsonl" + ) + + assert ( + self.handler._extract_s3_uri_from_file_id(file_id) + == "s3://safe-bucket/litellm-batch-outputs/job/output.jsonl" + ) + + def test_should_reject_file_id_without_s3_scheme(self): + with pytest.raises(ValueError, match="managed LiteLLM S3 file id"): + self.handler._extract_s3_uri_from_file_id("safe-bucket/private.jsonl") + + def test_should_reject_unified_unmanaged_s3_uri(self): + file_id = _encode_unified_file_id("s3://safe-bucket/private/output.jsonl") + s3_uri = self.handler._extract_s3_uri_from_file_id(file_id) + + with pytest.raises(ValueError, match="LiteLLM-managed"): + self.handler._parse_s3_uri( + s3_uri=s3_uri, + configured_bucket_name="safe-bucket", + ) diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py index d9a2ddefd34..5245612e9d3 100644 --- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py +++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py @@ -4,9 +4,7 @@ Test bedrock files transformation functionality import json import os -from typing import Any, Dict, List - -import pytest +from urllib.parse import unquote, urlparse from litellm.llms.bedrock.files.transformation import BedrockJsonlFilesTransformation @@ -43,19 +41,6 @@ class TestBedrockFilesTransformation: ) ) - # Print the transformation results for validation - print("\n=== INPUT (OpenAI format) ===") - for i, content in enumerate(openai_jsonl_content): - print(f"Record {i+1}:") - print(json.dumps(content, indent=2)) - print() - - print("\n=== OUTPUT (Bedrock format) ===") - for i, content in enumerate(bedrock_jsonl_content): - print(f"Record {i+1}:") - print(json.dumps(content, indent=2)) - print() - # Basic validation assert len(bedrock_jsonl_content) == len( openai_jsonl_content @@ -88,17 +73,6 @@ class TestBedrockFilesTransformation: "max_tokens" in model_input ), f"Record {i+1} should have max_tokens" - # Write expected output to file for reference - expected_output_path = os.path.join( - os.path.dirname(__file__), "expected_bedrock_batch_completions.jsonl" - ) - - with open(expected_output_path, "w") as f: - for record in bedrock_jsonl_content: - f.write(json.dumps(record) + "\n") - - print(f"\n=== Expected output written to: {expected_output_path} ===") - def test_nova_text_only_uses_converse_format(self): """ Test that Nova models produce Converse API format in batch modelInput. @@ -327,6 +301,44 @@ class TestBedrockFilesTransformation: ), f"us-west-2 must not appear when s3_region_name is set, got: {url}" assert "litellm-batch-352026" in url + def test_get_complete_file_url_sanitizes_untrusted_filename(self): + from litellm.llms.bedrock.files.transformation import BedrockFilesConfig + + config = BedrockFilesConfig() + create_file_data = { + "file": ("../../owned.jsonl?acl=public", b"hello", "application/jsonl"), + "purpose": "assistants", + } + + url = config.get_complete_file_url( + api_base=None, + api_key=None, + model="amazon.nova-pro-v1:0", + optional_params={"aws_region_name": "us-west-2"}, + litellm_params={"s3_bucket_name": "safe-bucket"}, + data=create_file_data, + ) + + parsed_url = urlparse(url) + object_key = unquote(parsed_url.path).split("/safe-bucket/", 1)[1] + assert object_key.startswith("litellm-bedrock-files/") + assert object_key.endswith("-owned.jsonl_acl_public") + assert ".." not in object_key + assert parsed_url.query == "" + + def test_batch_object_name_sanitizes_model_path(self): + from litellm.llms.bedrock.files.transformation import BedrockFilesConfig + + config = BedrockFilesConfig() + object_name = config._get_s3_object_name_from_batch_jsonl( + [{"body": {"model": "bedrock/../../secret:model"}}] + ) + + assert object_name.startswith("litellm-bedrock-files-") + assert object_name.endswith(".jsonl") + assert "/" not in object_name + assert ".." not in object_name + def test_transform_create_file_request_injects_s3_region_for_signing(self): """ When s3_region_name is provided, transform_create_file_request must pass diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py index ea056a2fc80..2b71e6c18dc 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py @@ -12,6 +12,14 @@ from litellm.llms.vertex_ai.files.handler import VertexAIFilesHandler from litellm.types.llms.openai import FileContentRequest, HttpxBinaryResponseContent +def _mock_gcs_logging_config(bucket_name: str = "test-bucket"): + return { + "bucket_name": bucket_name, + "path_service_account": None, + "vertex_instance": None, + } + + class TestVertexAIFilesHandler: """Test Vertex AI files handler""" @@ -22,57 +30,69 @@ class TestVertexAIFilesHandler: def test_extract_bucket_and_object_from_file_id_standard_path(self): """Test extraction of bucket and object from URL-encoded file_id with standard path""" # Sample file_id with nested folder structure - file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-folder" "%2Fsub-folder%2Ftest-file.txt" + file_id = ( + "gs%3A%2F%2Ftest-bucket%2Flitellm-vertex-files" + "%2Ftest-folder%2Fsub-folder%2Ftest-file.txt" + ) - bucket_name, encoded_object_path = ( - self.handler._extract_bucket_and_object_from_file_id(file_id) + bucket_name, object_path = self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", ) # Verify bucket name extraction assert bucket_name == "test-bucket" - # Verify object path encoding - expected_encoded_object = "test-folder%2Fsub-folder%2Ftest-file.txt" - assert encoded_object_path == expected_encoded_object + expected_object = "litellm-vertex-files/test-folder/sub-folder/test-file.txt" + assert object_path == expected_object - def test_extract_bucket_and_object_from_file_id_bucket_only(self): + def test_extract_bucket_and_object_from_file_id_rejects_bucket_only(self): """Test extraction when only bucket name is provided""" file_id = "gs%3A%2F%2Ftest-bucket" - bucket_name, encoded_object_path = ( - self.handler._extract_bucket_and_object_from_file_id(file_id) - ) + with pytest.raises(ValueError, match="object name"): + self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", + ) - assert bucket_name == "test-bucket" - assert encoded_object_path == "" - - def test_extract_bucket_and_object_from_file_id_simple_path(self): + def test_extract_bucket_and_object_from_file_id_rejects_unmanaged_path(self): """Test extraction with simple path""" file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt" - bucket_name, encoded_object_path = ( - self.handler._extract_bucket_and_object_from_file_id(file_id) - ) + with pytest.raises(ValueError, match="LiteLLM-managed"): + self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", + ) - assert bucket_name == "test-bucket" - assert encoded_object_path == "test-file.txt" - - def test_extract_bucket_and_object_from_file_id_no_gs_prefix(self): + def test_extract_bucket_and_object_from_file_id_rejects_no_gs_prefix(self): """Test extraction when gs:// prefix is missing""" - file_id = "test-bucket%2Ftest-file.txt" + file_id = "test-bucket%2Flitellm-vertex-files%2Ftest-file.txt" - bucket_name, encoded_object_path = ( - self.handler._extract_bucket_and_object_from_file_id(file_id) - ) + with pytest.raises(ValueError, match="gs://"): + self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", + ) - assert bucket_name == "test-bucket" - assert encoded_object_path == "test-file.txt" + def test_extract_bucket_and_object_from_file_id_rejects_wrong_bucket(self): + file_id = "gs%3A%2F%2Fother-bucket%2Flitellm-vertex-files%2Ftest-file.txt" + + with pytest.raises(ValueError, match="configured storage bucket"): + self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", + ) @pytest.mark.asyncio async def test_afile_content_success(self): """Test successful async file content retrieval""" # Setup test data - file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt" + file_id = ( + "gs%3A%2F%2Ftest-bucket%2Flitellm-vertex-files" + "%2Fuploads%2Fabc-test-file.txt" + ) expected_content = b"test file content" file_content_request = FileContentRequest( @@ -80,9 +100,17 @@ class TestVertexAIFilesHandler: ) # Mock the download_gcs_object method - with patch.object( - self.handler, "download_gcs_object", new_callable=AsyncMock - ) as mock_download: + with ( + patch.object( + self.handler, "download_gcs_object", new_callable=AsyncMock + ) as mock_download, + patch.object( + self.handler, + "get_gcs_logging_config", + new_callable=AsyncMock, + return_value=_mock_gcs_logging_config(), + ), + ): mock_download.return_value = expected_content # Call the method @@ -104,7 +132,10 @@ class TestVertexAIFilesHandler: # Verify the download was called with correct parameters mock_download.assert_called_once() call_args = mock_download.call_args - assert call_args.kwargs["object_name"] == "test-file.txt" + assert ( + call_args.kwargs["object_name"] + == "litellm-vertex-files/uploads/abc-test-file.txt" + ) assert "standard_callback_dynamic_params" in call_args.kwargs assert ( call_args.kwargs["standard_callback_dynamic_params"]["gcs_bucket_name"] @@ -132,22 +163,33 @@ class TestVertexAIFilesHandler: @pytest.mark.asyncio async def test_afile_content_download_failure(self): """Test async file content retrieval when download fails""" - file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt" + file_id = ( + "gs%3A%2F%2Ftest-bucket%2Flitellm-vertex-files" + "%2Fuploads%2Fabc-test-file.txt" + ) file_content_request = FileContentRequest( file_id=file_id, extra_headers=None, extra_body=None ) # Mock download to return None (failure) - with patch.object( - self.handler, "download_gcs_object", new_callable=AsyncMock - ) as mock_download: + with ( + patch.object( + self.handler, "download_gcs_object", new_callable=AsyncMock + ) as mock_download, + patch.object( + self.handler, + "get_gcs_logging_config", + new_callable=AsyncMock, + return_value=_mock_gcs_logging_config(), + ), + ): mock_download.return_value = None # Should raise ValueError for failed download with pytest.raises( ValueError, - match="Failed to download file from GCS: gs://test-bucket/test-file.txt", + match="Failed to download file from GCS: gs://test-bucket/litellm-vertex-files/uploads/abc-test-file.txt", ): await self.handler.afile_content( file_content_request=file_content_request, diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py index 596726cdb4b..4a7a8733ae9 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py @@ -2,8 +2,8 @@ Tests for VertexAIFilesConfig transformation methods (Issues 5-7). """ -import json import urllib.parse +from urllib.parse import parse_qs, urlparse import httpx import pytest @@ -23,13 +23,20 @@ class TestParseGcsUri: """Tests for the _parse_gcs_uri helper used by retrieve / content / delete.""" def test_should_parse_standard_gs_uri(self, config): - bucket, encoded = config._parse_gcs_uri("gs://my-bucket/path/to/object.jsonl") + file_id = "gs://my-bucket/litellm-vertex-files/path/to/object.jsonl" + bucket, encoded = config._parse_gcs_uri( + file_id, litellm_params={"bucket_name": "my-bucket"} + ) assert bucket == "my-bucket" - assert encoded == urllib.parse.quote("path/to/object.jsonl", safe="") + assert encoded == urllib.parse.quote( + "litellm-vertex-files/path/to/object.jsonl", safe="" + ) def test_should_parse_uri_with_nested_publisher_path(self, config): uri = "gs://litellm-local/litellm-vertex-files/publishers/google/models/gemini-2.0-flash-001/abc-123" - bucket, encoded = config._parse_gcs_uri(uri) + bucket, encoded = config._parse_gcs_uri( + uri, litellm_params={"bucket_name": "litellm-local"} + ) assert bucket == "litellm-local" expected_path = ( "litellm-vertex-files/publishers/google/models/gemini-2.0-flash-001/abc-123" @@ -37,30 +44,82 @@ class TestParseGcsUri: assert encoded == urllib.parse.quote(expected_path, safe="") def test_should_handle_url_encoded_input(self, config): - encoded_uri = urllib.parse.quote("gs://my-bucket/some/path", safe="") - bucket, encoded = config._parse_gcs_uri(encoded_uri) + encoded_uri = urllib.parse.quote( + "gs://my-bucket/litellm-vertex-files/some/path", safe="" + ) + bucket, encoded = config._parse_gcs_uri( + encoded_uri, litellm_params={"bucket_name": "my-bucket"} + ) assert bucket == "my-bucket" - assert encoded == urllib.parse.quote("some/path", safe="") + assert encoded == urllib.parse.quote("litellm-vertex-files/some/path", safe="") - def test_should_handle_bucket_only(self, config): - bucket, encoded = config._parse_gcs_uri("gs://my-bucket") - assert bucket == "my-bucket" - assert encoded == "" + def test_should_reject_bucket_only(self, config): + with pytest.raises(ValueError, match="object name"): + config._parse_gcs_uri( + "gs://my-bucket", litellm_params={"bucket_name": "my-bucket"} + ) - def test_should_handle_no_gs_prefix(self, config): - bucket, encoded = config._parse_gcs_uri("my-bucket/object.txt") - assert bucket == "my-bucket" - assert encoded == "object.txt" + def test_should_reject_no_gs_prefix(self, config): + with pytest.raises(ValueError, match="gs://"): + config._parse_gcs_uri( + "my-bucket/litellm-vertex-files/object.txt", + litellm_params={"bucket_name": "my-bucket"}, + ) + + def test_should_reject_unmanaged_object_path(self, config): + with pytest.raises(ValueError, match="LiteLLM-managed"): + config._parse_gcs_uri( + "gs://my-bucket/private/object.txt", + litellm_params={"bucket_name": "my-bucket"}, + ) + + def test_should_reject_unconfigured_bucket(self, config): + with pytest.raises(ValueError, match="configured storage bucket"): + config._parse_gcs_uri( + "gs://other-bucket/litellm-vertex-files/object.txt", + litellm_params={"bucket_name": "my-bucket"}, + ) + + +class TestCreateFileUrl: + def test_should_ignore_request_metadata_bucket_and_sanitize_filename(self, config): + url = config.get_complete_file_url( + api_base=None, + api_key=None, + model="", + optional_params={}, + litellm_params={ + "bucket_name": "safe-bucket", + "litellm_metadata": {"gcs_bucket_name": "attacker-bucket"}, + }, + data={ + "file": ("../../owned.jsonl?alt=media", b"{}", "application/jsonl"), + "purpose": "assistants", + }, + ) + + parsed_url = urlparse(url) + object_name = parse_qs(parsed_url.query)["name"][0] + assert "/b/safe-bucket/" in parsed_url.path + assert "attacker-bucket" not in url + assert object_name.startswith("litellm-vertex-files/uploads/") + assert object_name.endswith("-owned.jsonl_alt_media") + assert ".." not in object_name + assert "?" not in object_name class TestTransformRetrieveFile: def test_should_build_correct_gcs_metadata_url(self, config): - file_id = "gs://my-bucket/path/to/file.jsonl" + file_id = "gs://my-bucket/litellm-vertex-files/path/to/file.jsonl" url, params = config.transform_retrieve_file_request( - file_id=file_id, optional_params={}, litellm_params={} + file_id=file_id, + optional_params={}, + litellm_params={"bucket_name": "my-bucket"}, + ) + expected_encoded = urllib.parse.quote( + "litellm-vertex-files/path/to/file.jsonl", safe="" ) - expected_encoded = urllib.parse.quote("path/to/file.jsonl", safe="") assert ( url == f"https://storage.googleapis.com/storage/v1/b/my-bucket/o/{expected_encoded}" @@ -113,13 +172,13 @@ class TestTransformRetrieveFile: class TestTransformFileContent: def test_should_build_gcs_media_download_url(self, config): - file_id = "gs://my-bucket/path/to/file.jsonl" + file_id = "gs://my-bucket/litellm-vertex-files/path/to/file.jsonl" url, params = config.transform_file_content_request( file_content_request={"file_id": file_id}, optional_params={}, - litellm_params={}, + litellm_params={"bucket_name": "my-bucket"}, ) - encoded = urllib.parse.quote("path/to/file.jsonl", safe="") + encoded = urllib.parse.quote("litellm-vertex-files/path/to/file.jsonl", safe="") assert ( url == f"https://storage.googleapis.com/storage/v1/b/my-bucket/o/{encoded}?alt=media" @@ -146,11 +205,13 @@ class TestTransformFileContent: class TestTransformDeleteFile: def test_should_build_correct_gcs_delete_url(self, config): - file_id = "gs://my-bucket/path/to/file.jsonl" + file_id = "gs://my-bucket/litellm-vertex-files/path/to/file.jsonl" url, params = config.transform_delete_file_request( - file_id=file_id, optional_params={}, litellm_params={} + file_id=file_id, + optional_params={}, + litellm_params={"bucket_name": "my-bucket"}, ) - encoded = urllib.parse.quote("path/to/file.jsonl", safe="") + encoded = urllib.parse.quote("litellm-vertex-files/path/to/file.jsonl", safe="") assert ( url == f"https://storage.googleapis.com/storage/v1/b/my-bucket/o/{encoded}" ) From 214dea43fa8361dd82120ddf529c784781a6ecda Mon Sep 17 00:00:00 2001 From: Michael Riad Zaky Date: Wed, 29 Apr 2026 16:53:48 -0700 Subject: [PATCH 062/160] Remove unneeded metadata info from LangSmith --- litellm/integrations/langsmith.py | 10 +++ .../integrations/test_langsmith_init.py | 84 +++++++++++++++++++ 2 files changed, 94 insertions(+) diff --git a/litellm/integrations/langsmith.py b/litellm/integrations/langsmith.py index 3d4fd39ebe1..5380056c54a 100644 --- a/litellm/integrations/langsmith.py +++ b/litellm/integrations/langsmith.py @@ -19,6 +19,7 @@ from litellm.integrations.langsmith_mock_client import ( create_mock_langsmith_client, should_use_langsmith_mock, ) +from litellm.litellm_core_utils.redact_messages import redact_user_api_key_info from litellm.llms.custom_httpx.http_handler import ( get_async_httpx_client, httpxSpecialProvider, @@ -153,6 +154,15 @@ class LangsmithLogger(CustomBatchLogger): for key in ("session_id", "thread_id", "conversation_id"): if key in requester_metadata and key not in extra_metadata: extra_metadata[key] = requester_metadata[key] + + # helper is shallow; also scrub nested requester_metadata since + # LangSmith forwards the whole dict into `extra` + extra_metadata = redact_user_api_key_info(metadata=extra_metadata) + nested = extra_metadata.get("requester_metadata") + if isinstance(nested, dict): + extra_metadata["requester_metadata"] = redact_user_api_key_info( + metadata=nested + ) return extra_metadata def _build_outputs_with_usage( diff --git a/tests/test_litellm/integrations/test_langsmith_init.py b/tests/test_litellm/integrations/test_langsmith_init.py index 14b861355b7..5d6b7c74690 100644 --- a/tests/test_litellm/integrations/test_langsmith_init.py +++ b/tests/test_litellm/integrations/test_langsmith_init.py @@ -6,9 +6,18 @@ import pytest sys.path.insert(0, os.path.abspath("../..")) +import litellm from litellm.integrations.langsmith import LangsmithLogger +@pytest.fixture +def reset_redact_flag(): + """Reset redact_user_api_key_info between tests so global state doesn't leak.""" + original = litellm.redact_user_api_key_info + yield + litellm.redact_user_api_key_info = original + + class TestLangsmithLoggerInit: """Test cases for LangSmith logger initialization, particularly sampling rate handling. @@ -263,3 +272,78 @@ class TestLangsmithPrepareLogData: assert um["input_tokens"] == 100 assert um["output_tokens"] == 50 assert um["total_tokens"] == 150 + + +class TestLangsmithRedactUserApiKeyInfo: + """Verify litellm.redact_user_api_key_info is honored for LangSmith.""" + + def _logger(self): + return LangsmithLogger( + langsmith_api_key="test-key", + langsmith_project="test-project", + ) + + def _metadata_with_user_api_key_fields(self): + return { + "user_api_key_hash": "abc123", + "user_api_key_alias": "engineer-key", + "user_api_key_user_id": "default_user_id", + "user_api_key_team_id": "team-uuid", + "user_api_key_team_alias": "GNT", + "user_api_key_request_route": "/chat/completions", + "user_api_key_spend": 1.64, + "model": "gpt-4", + "requester_metadata": { + "user_api_key_team_id": "team-uuid", + "user_api_key_user_id": "default_user_id", + "session_id": "sess-1", + }, + } + + def test_redact_disabled_keeps_user_api_key_fields(self, reset_redact_flag): + """Flag off: user_api_key_* fields are preserved (no behavior change).""" + litellm.redact_user_api_key_info = False + logger = self._logger() + metadata = self._metadata_with_user_api_key_fields() + + extra = logger._build_extra_metadata(metadata) + + assert extra["user_api_key_hash"] == "abc123" + assert extra["user_api_key_team_id"] == "team-uuid" + assert extra["requester_metadata"]["user_api_key_user_id"] == "default_user_id" + + def test_redact_enabled_strips_top_level_user_api_key_fields( + self, reset_redact_flag + ): + """Flag on: top-level user_api_key_* keys removed; other keys preserved.""" + litellm.redact_user_api_key_info = True + logger = self._logger() + metadata = self._metadata_with_user_api_key_fields() + + extra = logger._build_extra_metadata(metadata) + + for key in ( + "user_api_key_hash", + "user_api_key_alias", + "user_api_key_user_id", + "user_api_key_team_id", + "user_api_key_team_alias", + "user_api_key_request_route", + "user_api_key_spend", + ): + assert key not in extra, f"{key} should be redacted at top level" + assert extra["model"] == "gpt-4" + + def test_redact_enabled_strips_nested_requester_metadata(self, reset_redact_flag): + """Flag on: nested requester_metadata.user_api_key_* removed; session_id still lifted.""" + litellm.redact_user_api_key_info = True + logger = self._logger() + metadata = self._metadata_with_user_api_key_fields() + + extra = logger._build_extra_metadata(metadata) + + nested = extra["requester_metadata"] + assert "user_api_key_team_id" not in nested + assert "user_api_key_user_id" not in nested + assert nested["session_id"] == "sess-1" + assert extra["session_id"] == "sess-1" From d3664947a43e48f02cacf1eb5a69e377f490730a Mon Sep 17 00:00:00 2001 From: Michael Riad Zaky Date: Thu, 30 Apr 2026 17:13:07 -0700 Subject: [PATCH 063/160] fix metric labels for litellm-side rejects --- litellm/integrations/prometheus.py | 41 ++++++--- .../test_prometheus_logging_callbacks.py | 90 +++++++++++++++---- 2 files changed, 100 insertions(+), 31 deletions(-) diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index d9e57ee7cee..3872292cae5 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -2007,17 +2007,32 @@ class PrometheusLogger(CustomLogger): if code is not None: exception_status = str(code) - # Create enum_values for the label factory (always create for use in different metrics) + # On LiteLLM-side rejects (no deployment picked), route request_kwargs["model"] + # into requested_model and leave deployment-scoped labels empty. + deployment_selected = bool(model_id) + if deployment_selected: + label_litellm_model_name = litellm_model_name + label_model_id = model_id + label_api_base = api_base + label_api_provider = llm_provider + label_requested_model = model_group or litellm_model_name + else: + label_litellm_model_name = "" + label_model_id = "" + label_api_base = "" + label_api_provider = "" + label_requested_model = litellm_model_name or model_group + enum_values = UserAPIKeyLabelValues( - litellm_model_name=litellm_model_name, - model_id=model_id, - api_base=api_base, - api_provider=llm_provider, + litellm_model_name=label_litellm_model_name, + model_id=label_model_id, + api_base=label_api_base, + api_provider=label_api_provider, exception_status=exception_status, exception_class=( self._get_exception_class_name(exception) if exception else None ), - requested_model=model_group or litellm_model_name, + requested_model=label_requested_model, hashed_api_key=hashed_api_key, api_key_alias=api_key_alias, team=team, @@ -2031,12 +2046,14 @@ class PrometheusLogger(CustomLogger): log these labels ["litellm_model_name", "model_id", "api_base", "api_provider"] """ - self.set_deployment_partial_outage( - litellm_model_name=litellm_model_name or "", - model_id=model_id, - api_base=api_base, - api_provider=llm_provider or "", - ) + # Only mark a deployment outage when one was actually picked. + if deployment_selected: + self.set_deployment_partial_outage( + litellm_model_name=litellm_model_name or "", + model_id=model_id, + api_base=api_base, + api_provider=llm_provider or "", + ) _deployment_label_ctx = PrometheusLabelFactoryContext(enum_values) if exception is not None: PrometheusLogger._inc_labeled_counter( diff --git a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py index d3f7d882da8..9f879b9d501 100644 --- a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py +++ b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py @@ -289,11 +289,10 @@ async def test_increment_remaining_budget_metrics(prometheus_logger): future_reset_time_team = datetime.now() + timedelta(hours=10) future_reset_time_key = datetime.now() + timedelta(hours=12) # Mock the get_team_object and get_key_object functions to return objects with budget reset times - with patch( - "litellm.proxy.auth.auth_checks.get_team_object" - ) as mock_get_team, patch( - "litellm.proxy.auth.auth_checks.get_key_object" - ) as mock_get_key: + with ( + patch("litellm.proxy.auth.auth_checks.get_team_object") as mock_get_team, + patch("litellm.proxy.auth.auth_checks.get_key_object") as mock_get_key, + ): mock_get_team.return_value = MagicMock(budget_reset_at=future_reset_time_team) mock_get_key.return_value = MagicMock(budget_reset_at=future_reset_time_key) @@ -732,6 +731,51 @@ async def test_async_log_failure_event(prometheus_logger): prometheus_logger.litellm_deployment_total_requests.labels().inc.assert_called_once() +@pytest.mark.asyncio +async def test_async_log_failure_event_litellm_side_rate_limit(prometheus_logger): + """LiteLLM-side reject (no deployment picked) routes the requested model + into `requested_model` and skips the partial-outage flag.""" + standard_logging_object = create_standard_logging_payload() + standard_logging_object["model_id"] = "" + standard_logging_object["model_group"] = "" + standard_logging_object["api_base"] = "" + + rate_limit_exc = Exception("LiteLLM rate limit exceeded") + rate_limit_exc.status_code = 429 + kwargs = { + "model": "us/azure/openai/gpt-5-mini", + "litellm_params": {}, + "start_time": datetime.now(), + "completion_start_time": datetime.now(), + "api_call_start_time": datetime.now(), + "end_time": datetime.now() + timedelta(seconds=1), + "standard_logging_object": standard_logging_object, + "exception": rate_limit_exc, + } + + prometheus_logger.litellm_llm_api_failed_requests_metric = MagicMock() + prometheus_logger.litellm_deployment_failure_responses = MagicMock() + prometheus_logger.litellm_deployment_total_requests = MagicMock() + prometheus_logger.set_deployment_partial_outage = MagicMock() + + await prometheus_logger.async_log_failure_event( + kwargs, MagicMock(), kwargs["start_time"], kwargs["end_time"] + ) + + prometheus_logger.set_deployment_partial_outage.assert_not_called() + + prometheus_logger.litellm_deployment_failure_responses.labels.assert_called_once() + actual_failure_labels = ( + prometheus_logger.litellm_deployment_failure_responses.labels.call_args.kwargs + ) + assert actual_failure_labels["requested_model"] == "us/azure/openai/gpt-5-mini" + assert actual_failure_labels["litellm_model_name"] == "" + assert actual_failure_labels["model_id"] == "" + assert actual_failure_labels["api_base"] == "" + assert actual_failure_labels["api_provider"] == "" + assert actual_failure_labels["exception_status"] == "429" + + @pytest.mark.asyncio async def test_async_post_call_failure_hook(prometheus_logger): """ @@ -1518,9 +1562,12 @@ async def test_initialize_remaining_budget_metrics(prometheus_logger): """ litellm.prometheus_initialize_budget_metrics = True # Mock the prisma client and get_paginated_teams function - with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch( - "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams" - ) as mock_get_teams: + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams" + ) as mock_get_teams, + ): # Create mock team data with proper datetime objects for budget_reset_at future_reset = datetime.now() + timedelta(hours=24) # Reset 24 hours from now mock_teams = [ @@ -1613,11 +1660,15 @@ async def test_initialize_remaining_budget_metrics_exception_handling( """ litellm.prometheus_initialize_budget_metrics = True # Mock the prisma client and get_paginated_teams function to raise an exception - with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch( - "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams" - ) as mock_get_teams, patch( - "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper" - ) as mock_list_keys: + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams" + ) as mock_get_teams, + patch( + "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper" + ) as mock_list_keys, + ): # Make get_paginated_teams raise an exception mock_get_teams.side_effect = Exception("Database error") mock_list_keys.side_effect = Exception("Key listing error") @@ -1636,9 +1687,7 @@ async def test_initialize_remaining_budget_metrics_exception_handling( # Mock litellm_organizationtable to raise an exception for org budget metrics mock_orgtable = MagicMock() - mock_orgtable.find_many = MagicMock( - side_effect=Exception("Org database error") - ) + mock_orgtable.find_many = MagicMock(side_effect=Exception("Org database error")) mock_orgtable.count = MagicMock(side_effect=Exception("Org count error")) mock_db = MagicMock() @@ -1699,9 +1748,12 @@ async def test_initialize_api_key_budget_metrics(prometheus_logger): """ litellm.prometheus_initialize_budget_metrics = True # Mock the prisma client and _list_key_helper function - with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch( - "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper" - ) as mock_list_keys: + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper" + ) as mock_list_keys, + ): # Create mock key data with proper datetime objects for budget_reset_at future_reset = datetime.now() + timedelta(hours=24) # Reset 24 hours from now key1 = UserAPIKeyAuth( From 5bb036451398299fb9cebb7b3a99ac14725b82c7 Mon Sep 17 00:00:00 2001 From: Michael Riad Zaky Date: Thu, 30 Apr 2026 17:57:29 -0700 Subject: [PATCH 064/160] default requested_model to empty string on litellm-side rejects --- litellm/integrations/prometheus.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index 3872292cae5..7d3856ea63a 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -1929,7 +1929,7 @@ class PrometheusLogger(CustomLogger): or _litellm_params_metadata.get("user_agent"), } - def set_llm_deployment_failure_metrics(self, request_kwargs: dict): + def set_llm_deployment_failure_metrics(self, request_kwargs: dict): # noqa: PLR0915 """ Sets Failure metrics when an LLM API call fails @@ -2021,7 +2021,7 @@ class PrometheusLogger(CustomLogger): label_model_id = "" label_api_base = "" label_api_provider = "" - label_requested_model = litellm_model_name or model_group + label_requested_model = litellm_model_name or model_group or "" enum_values = UserAPIKeyLabelValues( litellm_model_name=label_litellm_model_name, From f53e8d680304a59db27ceb6ec1d9df27ec86ea9a Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 16:01:19 -0700 Subject: [PATCH 065/160] harden bedrock file bucket validation --- .../cloud_storage_security.py | 5 +++- litellm/llms/bedrock/files/handler.py | 6 ++--- .../files/test_bedrock_files_handler.py | 25 +++++++++++++++++++ 3 files changed, 31 insertions(+), 5 deletions(-) diff --git a/litellm/litellm_core_utils/cloud_storage_security.py b/litellm/litellm_core_utils/cloud_storage_security.py index 3c60e0cd523..b47a07abb91 100644 --- a/litellm/litellm_core_utils/cloud_storage_security.py +++ b/litellm/litellm_core_utils/cloud_storage_security.py @@ -69,7 +69,10 @@ def _validate_cloud_object_path(object_name: str) -> None: raise ValueError("Cloud storage object name must be relative") if any(ord(char) < 32 or ord(char) == 127 for char in object_name): raise ValueError("Cloud storage object name contains control characters") - if any(segment in {".", ".."} for segment in object_name.split("/")): + segments = object_name.split("/") + if any(segment in {".", ".."} for segment in segments): + raise ValueError("Cloud storage object name contains an invalid path segment") + if "" in segments[:-1]: raise ValueError("Cloud storage object name contains an invalid path segment") diff --git a/litellm/llms/bedrock/files/handler.py b/litellm/llms/bedrock/files/handler.py index 6061fc8c0c9..b3cd77cff72 100644 --- a/litellm/llms/bedrock/files/handler.py +++ b/litellm/llms/bedrock/files/handler.py @@ -90,12 +90,10 @@ class BedrockFilesHandler(BaseAWSLLM): ) def _get_configured_s3_bucket_name(self, optional_params: dict) -> str: - bucket_name = optional_params.get("s3_bucket_name") or os.getenv( - "AWS_S3_BUCKET_NAME" - ) + bucket_name = os.getenv("AWS_S3_BUCKET_NAME") if not bucket_name: raise ValueError( - "S3 bucket_name is required. Set 's3_bucket_name' or AWS_S3_BUCKET_NAME." + "S3 bucket_name is required. Set AWS_S3_BUCKET_NAME for Bedrock file content retrieval." ) return bucket_name diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py index b8375748295..d1622008b0e 100644 --- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py +++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py @@ -1,4 +1,6 @@ import base64 +import os +from unittest.mock import patch import pytest @@ -60,6 +62,13 @@ class TestBedrockFilesHandler: configured_bucket_name="safe-bucket", ) + def test_should_reject_empty_middle_path_segment(self): + with pytest.raises(ValueError, match="invalid path segment"): + self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/litellm-bedrock-files//secret.jsonl", + configured_bucket_name="safe-bucket", + ) + def test_should_extract_unified_managed_s3_uri(self): file_id = _encode_unified_file_id( "s3://safe-bucket/litellm-batch-outputs/job/output.jsonl" @@ -83,3 +92,19 @@ class TestBedrockFilesHandler: s3_uri=s3_uri, configured_bucket_name="safe-bucket", ) + + def test_should_not_trust_request_s3_bucket_name_for_expected_bucket(self): + with patch.dict(os.environ, {"AWS_S3_BUCKET_NAME": "safe-bucket"}): + assert ( + self.handler._get_configured_s3_bucket_name( + {"s3_bucket_name": "attacker-bucket"} + ) + == "safe-bucket" + ) + + def test_should_require_server_s3_bucket_name(self): + with patch.dict(os.environ, {}, clear=True): + with pytest.raises(ValueError, match="AWS_S3_BUCKET_NAME"): + self.handler._get_configured_s3_bucket_name( + {"s3_bucket_name": "attacker-bucket"} + ) From 4ea32d13c911138e05c3d96e5ac4289380ec800a Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 23:59:38 +0000 Subject: [PATCH 066/160] fix(proxy): redact MCP server URL and headers for non-admin viewers (VERIA-8) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Many MCP integrations (Zapier, etc.) embed an upstream API key directly in the server URL, e.g. ``https://actions.zapier.com/mcp//sse``. The list and single-server endpoints were returning the full URL to any authenticated user — `_redact_mcp_credentials` only stripped the explicit ``credentials`` field, and `_sanitize_mcp_server_for_virtual_key` only ran for restricted virtual keys. Non-admin internal users could read the dashboard, click the unmask toggle, and exfiltrate the raw token. Add `_sanitize_mcp_server_for_non_admin` that runs on top of the existing credential redaction and clears the credential-bearing fields: - ``url`` (the primary leak vector) - ``spec_path`` (OpenAPI spec URLs that may carry tokens) - ``static_headers`` / ``extra_headers`` (Authorization) - ``env`` (arbitrary secrets) - ``authorization_url`` / ``token_url`` / ``registration_url`` Identity fields (``server_id``, ``alias``, ``mcp_info``, etc.) are preserved so the UI can still list servers a non-admin's team has access to. Apply the new sanitizer in `fetch_all_mcp_servers` and the per-server fetch path right after the existing virtual-key branch. Update the existing `test_list_mcp_servers_non_admin_user_filtered` assertions that previously checked URL visibility. Frontend defense-in-depth: hide the URL unmask toggle on `mcp_server_view.tsx` unless the viewer is a proxy admin. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../mcp_management_endpoints.py | 42 +++++ .../test_mcp_management_endpoints.py | 167 +++++++++++++++++- .../components/mcp_tools/mcp_server_view.tsx | 7 +- 3 files changed, 212 insertions(+), 4 deletions(-) diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index 9c510a568e6..173351ac8c5 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -477,6 +477,40 @@ if MCP_AVAILABLE: allowed_routes = getattr(user_api_key_dict, "allowed_routes", None) return isinstance(allowed_routes, list) and len(allowed_routes) > 0 + def _sanitize_mcp_server_for_non_admin( + mcp_server: LiteLLM_MCPServerTable, + ) -> LiteLLM_MCPServerTable: + """Strip credential-bearing fields for non-admin viewers. + + Non-admin users may legitimately need to discover MCP servers + their team has access to (so they can pick one in the UI), but + they must never see fields that can carry bearer tokens or + upstream API keys. ``_redact_mcp_credentials`` already clears + the explicit ``credentials`` field; this layers on top to catch + the URL+headers+env vectors that the virtual-key sanitizer also + strips. Reset values match each field's declared default on + ``LiteLLM_MCPServerTable`` (``None`` for Optional fields, + ``[]``/``{}`` for required list/dict fields). + """ + sanitized = _redact_mcp_credentials(mcp_server) + # URL is the highest-impact vector: many MCP integrations embed + # the upstream API key directly in the path. spec_path can carry + # similar tokens in the OpenAPI spec URL. + sanitized.url = None + sanitized.spec_path = None + sanitized.static_headers = None + sanitized.extra_headers = [] + sanitized.env = {} + sanitized.authorization_url = None + sanitized.token_url = None + sanitized.registration_url = None + return sanitized + + def _sanitize_mcp_server_list_for_non_admin( + mcp_servers: Iterable[LiteLLM_MCPServerTable], + ) -> List[LiteLLM_MCPServerTable]: + return [_sanitize_mcp_server_for_non_admin(s) for s in mcp_servers] + def _sanitize_mcp_server_for_virtual_key( mcp_server: LiteLLM_MCPServerTable, ) -> LiteLLM_MCPServerTable: @@ -926,6 +960,12 @@ if MCP_AVAILABLE: if is_restricted_virtual_key: return _sanitize_mcp_server_list_for_virtual_key(redacted_mcp_servers) + # Non-admin authenticated users may see the server inventory but + # not credential-bearing fields like `url` (often contains bearer + # tokens) or headers/env (often contain Authorization). + if not _user_has_admin_view(user_api_key_dict): + return _sanitize_mcp_server_list_for_non_admin(redacted_mcp_servers) + return redacted_mcp_servers @router.get( @@ -1293,6 +1333,8 @@ if MCP_AVAILABLE: redacted = _redact_mcp_credentials(mcp_server) if is_restricted_virtual_key: return _sanitize_mcp_server_for_virtual_key(redacted) + if not _user_has_admin_view(user_api_key_dict): + return _sanitize_mcp_server_for_non_admin(redacted) return redacted @router.post( diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py index 821e2002906..ea8ac7730ef 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py @@ -626,14 +626,16 @@ class TestListMCPServers: assert "config_server_allowed" in server_ids assert "config_server_not_allowed" not in server_ids - # Check server details + # Check server details — non-admin viewers must not see the + # raw `url` (it can carry bearer tokens for many MCP + # integrations). Identity fields stay so the UI can list + # the server. for server in result: + assert server.url is None if server.server_id == "db_server_allowed": assert server.alias == "Allowed Gmail MCP" - assert server.url == "https://gmail-mcp.example.com/mcp" elif server.server_id == "config_server_allowed": assert server.alias == "Allowed Zapier MCP" - assert server.url == "https://actions.zapier.com/mcp/sse" @pytest.mark.asyncio async def test_admin_user_with_object_permission_respects_mcp_servers(self): @@ -2897,3 +2899,162 @@ async def test_list_mcp_user_credentials_batch_server_fetch(): assert result[0].alias == "My Server" # expires_at should always be the raw timestamp (not set to None when expired) assert result[0].expires_at == "2099-01-01T00:00:00+00:00" + + +# --------------------------------------------------------------------------- +# VERIA-8: non-admin viewers must not see the raw MCP server URL +# --------------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_list_mcp_servers_non_admin_url_redacted(): + """A standard authenticated user (no admin role, not a restricted + virtual key) used to receive the raw `url` field, which can contain + bearer tokens like `https://actions.zapier.com/mcp//sse`. + They must now get the credential-bearing fields stripped.""" + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + fetch_all_mcp_servers, + ) + + user = UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="alice", + api_key="sk-alice", + # NOT allowed_routes — a normal authenticated user. + ) + + server = generate_mock_mcp_server_db_record( + server_id="zapier-1", + alias="Zapier", + url="https://actions.zapier.com/mcp/SUPER-SECRET-TOKEN/sse", + ) + server.static_headers = {"Authorization": "Bearer SUPER-SECRET-TOKEN"} + server.env = {"API_KEY": "another-secret"} + server.extra_headers = ["Authorization"] + server.authorization_url = "https://oauth.example.com/authorize?token=foo" + server.token_url = "https://oauth.example.com/token" + server.registration_url = "https://oauth.example.com/register" + + mock_manager = MagicMock() + mock_manager.get_all_mcp_servers_unfiltered = AsyncMock(return_value=[server]) + mock_manager.get_all_allowed_mcp_servers = AsyncMock(return_value=[server]) + + with ( + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints._get_user_mcp_management_mode", + return_value="view_all", + ), + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.global_mcp_server_manager", + mock_manager, + ), + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.get_prisma_client_or_throw", + return_value=MagicMock(), + ), + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.build_effective_auth_contexts", + AsyncMock(return_value=[user]), + ), + ): + result = await fetch_all_mcp_servers(user_api_key_dict=user) + + assert len(result) == 1 + s = result[0] + # Identity fields stay so the UI can list the server. + assert s.server_id == "zapier-1" + assert s.alias == "Zapier" + # Credential-bearing fields must all be cleared. + assert s.url is None + assert s.static_headers is None + assert s.env == {} + assert s.extra_headers == [] + assert s.authorization_url is None + assert s.token_url is None + assert s.registration_url is None + + +@pytest.mark.asyncio +async def test_list_mcp_servers_admin_keeps_url(): + """Proxy admins must continue to see the raw URL — the redaction + only applies to non-admin viewers.""" + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + fetch_all_mcp_servers, + ) + + admin = UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, + user_id="root", + api_key="sk-admin", + ) + + server = generate_mock_mcp_server_db_record( + server_id="zapier-1", + alias="Zapier", + url="https://actions.zapier.com/mcp/SUPER-SECRET-TOKEN/sse", + ) + server.static_headers = {"Authorization": "Bearer SUPER-SECRET-TOKEN"} + + mock_manager = MagicMock() + mock_manager.get_all_mcp_servers_unfiltered = AsyncMock(return_value=[server]) + mock_manager.get_all_allowed_mcp_servers = AsyncMock(return_value=[server]) + + with ( + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints._get_user_mcp_management_mode", + return_value="view_all", + ), + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.global_mcp_server_manager", + mock_manager, + ), + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.get_prisma_client_or_throw", + return_value=MagicMock(), + ), + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.build_effective_auth_contexts", + AsyncMock(return_value=[admin]), + ), + ): + result = await fetch_all_mcp_servers(user_api_key_dict=admin) + + assert len(result) == 1 + assert result[0].url == "https://actions.zapier.com/mcp/SUPER-SECRET-TOKEN/sse" + assert result[0].static_headers == {"Authorization": "Bearer SUPER-SECRET-TOKEN"} + + +def test_sanitize_mcp_server_for_non_admin_clears_credential_fields(): + """Direct unit test on the helper for fast feedback.""" + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _sanitize_mcp_server_for_non_admin, + ) + + server = generate_mock_mcp_server_db_record( + url="https://example.com/mcp/SUPER-SECRET/sse", + ) + server.credentials = {"auth_value": "secret"} + server.static_headers = {"Authorization": "Bearer x"} + server.spec_path = "https://example.com/specs/openapi-with-token.yaml" + server.env = {"API_KEY": "y"} + server.extra_headers = ["Authorization"] + server.authorization_url = "https://idp/authorize" + server.token_url = "https://idp/token" + server.registration_url = "https://idp/register" + + sanitized = _sanitize_mcp_server_for_non_admin(server) + + assert sanitized.credentials is None + assert sanitized.url is None + assert sanitized.spec_path is None + assert sanitized.static_headers is None + assert sanitized.env == {} + assert sanitized.extra_headers == [] + assert sanitized.authorization_url is None + assert sanitized.token_url is None + assert sanitized.registration_url is None + + # Identity / metadata fields are preserved so the UI can list the + # server without exposing secrets. + assert sanitized.server_id == server.server_id + assert sanitized.alias == server.alias diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx index c70d188bdbb..f9a3d57e952 100644 --- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx +++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx @@ -147,7 +147,12 @@ export const MCPServerView: React.FC = ({ {renderUrlWithToggle(mcpServer.url, showFullUrl)} - {hasToken && ( + {/* Only proxy admins may reveal the raw URL — non-admins + receive a sanitized server object from the backend + with `url=null`, but hide the toggle anyway as + defense-in-depth in case the URL ever leaks back + into the response. */} + {hasToken && isProxyAdmin && ( From 1cbe7441145c50a3c15b62f6b95f484d75b07e1e Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Thu, 30 Apr 2026 17:41:49 +0000 Subject: [PATCH 067/160] feat(spend-logs): opt-in suppression of stack traces in spend-tracking error logs Adds LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS env var. When set to true and the proxy log level is INFO or above, spend-tracking error paths emit a single ERROR line without the full traceback. Stack traces are preserved at DEBUG and the Sentry / proxy_logging_obj.failure_handler path is unchanged. The new spend_log_error helper is wired through the spend write hot path: - DBSpendUpdateWriter (update_database, _update_*_db, batch upsert, redis-commit fallbacks) - _ProxyDBLogger._PROXY_track_cost_callback - get_logging_payload exception path - update_spend / update_daily_tag_spend / spend logs queue monitor Resolves LIT-2704. Co-authored-by: Mateo Wang --- litellm/proxy/db/db_spend_update_writer.py | 72 ++++----- .../proxy/hooks/proxy_track_cost_callback.py | 5 +- .../spend_tracking/spend_log_error_logger.py | 77 ++++++++++ .../spend_tracking/spend_tracking_utils.py | 5 +- litellm/proxy/utils.py | 7 +- .../proxy/db/test_db_spend_update_writer.py | 25 ++-- .../test_spend_log_error_logger.py | 139 ++++++++++++++++++ 7 files changed, 275 insertions(+), 55 deletions(-) create mode 100644 litellm/proxy/spend_tracking/spend_log_error_logger.py create mode 100644 tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py index c06e1850d9f..3697e498bb4 100644 --- a/litellm/proxy/db/db_spend_update_writer.py +++ b/litellm/proxy/db/db_spend_update_writer.py @@ -60,6 +60,7 @@ from litellm.proxy.db.db_transaction_queue.tool_discovery_queue import ( ToolDiscoveryQueue, ) from litellm.proxy.route_llm_request import ROUTE_ENDPOINT_MAPPING +from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error if TYPE_CHECKING: from litellm.proxy.utils import PrismaClient, ProxyLogging @@ -192,17 +193,16 @@ class DBSpendUpdateWriter: verbose_proxy_logger.debug("Runs spend update on all tables") except Exception: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - update_database failed. Spend log insertion or daily transaction enqueue " "may not have completed for this request. " - "response_cost=%s, token=%s, user_id=%s, team_id=%s, org_id=%s, end_user_id=%s - %s", + "response_cost=%s, token=%s, user_id=%s, team_id=%s, org_id=%s, end_user_id=%s", response_cost, token, user_id, team_id, org_id, end_user_id, - traceback.format_exc(), ) def _enqueue_tool_registry_upsert( @@ -491,9 +491,7 @@ class DBSpendUpdateWriter: ) ) except Exception as e: - verbose_proxy_logger.exception( - f"Update Key DB Call failed to execute - {str(e)}" - ) + spend_log_error("Update Key DB Call failed to execute - %s", str(e), exc=e) raise e async def _update_user_db( @@ -540,14 +538,14 @@ class DBSpendUpdateWriter: ) ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to enqueue user spend update. " - "user_id=%s, end_user_id=%s, response_cost=%s - %s\n%s", + "user_id=%s, end_user_id=%s, response_cost=%s - %s", user_id, end_user_id, response_cost, str(e), - traceback.format_exc(), + exc=e, ) async def _update_team_db( @@ -585,23 +583,23 @@ class DBSpendUpdateWriter: ) ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to enqueue team member spend update. " - "team_id=%s, user_id=%s, response_cost=%s - %s\n%s", + "team_id=%s, user_id=%s, response_cost=%s - %s", team_id, user_id, response_cost, str(e), - traceback.format_exc(), + exc=e, ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to enqueue team spend update. " - "team_id=%s, response_cost=%s - %s\n%s", + "team_id=%s, response_cost=%s - %s", team_id, response_cost, str(e), - traceback.format_exc(), + exc=e, ) raise e @@ -626,13 +624,13 @@ class DBSpendUpdateWriter: ) ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to enqueue org spend update. " - "org_id=%s, response_cost=%s - %s\n%s", + "org_id=%s, response_cost=%s - %s", org_id, response_cost, str(e), - traceback.format_exc(), + exc=e, ) raise e @@ -654,13 +652,13 @@ class DBSpendUpdateWriter: ) ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to enqueue agent spend update. " - "agent_id=%s, response_cost=%s - %s\n%s", + "agent_id=%s, response_cost=%s - %s", agent_id, response_cost, str(e), - traceback.format_exc(), + exc=e, ) raise e @@ -707,13 +705,13 @@ class DBSpendUpdateWriter: ) ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to enqueue tag spend update. " - "request_tags=%s, response_cost=%s - %s\n%s", + "request_tags=%s, response_cost=%s - %s", request_tags, response_cost, str(e), - traceback.format_exc(), + exc=e, ) raise e @@ -906,11 +904,11 @@ class DBSpendUpdateWriter: daily_spend_transactions=daily_agent_spend_update_transactions, ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to commit spend updates from Redis to DB. " - "Data already popped from Redis may be lost. Error: %s\n%s", + "Data already popped from Redis may be lost. Error: %s", str(e), - traceback.format_exc(), + exc=e, ) finally: await self.pod_lock_manager.release_lock( @@ -1074,11 +1072,11 @@ class DBSpendUpdateWriter: daily_spend_transactions=daily_tag_spend_update_transactions, ) except Exception as e: - verbose_proxy_logger.error( + spend_log_error( "Spend tracking - failed to commit daily tag spend updates from Redis to DB. " - "Data already popped from Redis may be lost. Error: %s\n%s", + "Data already popped from Redis may be lost. Error: %s", str(e), - traceback.format_exc(), + exc=e, ) finally: await self.pod_lock_manager.release_lock( @@ -1736,11 +1734,15 @@ class DBSpendUpdateWriter: except Exception as batch_error: # Log detailed error information for debugging batch upsert failures # This helps diagnose issues like unique constraint violations - verbose_proxy_logger.exception( - f"Daily {entity_type} spend batch upsert failed. " - f"Table: {table_name}, Constraint: {unique_constraint_name}, " - f"Batch size: {len(transactions_to_process)}, " - f"Error: {str(batch_error)}" + spend_log_error( + "Daily %s spend batch upsert failed. " + "Table: %s, Constraint: %s, Batch size: %d, Error: %s", + entity_type, + table_name, + unique_constraint_name, + len(transactions_to_process), + str(batch_error), + exc=batch_error, ) raise diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py index bd1b8ea79c5..0a677b5423a 100644 --- a/litellm/proxy/hooks/proxy_track_cost_callback.py +++ b/litellm/proxy/hooks/proxy_track_cost_callback.py @@ -19,6 +19,7 @@ from litellm.proxy.auth.auth_checks import ( ) from litellm.proxy.auth.route_checks import RouteChecks from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup +from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error from litellm.proxy.utils import ProxyUpdateSpend from litellm.types.utils import StandardLoggingPayload from litellm.utils import get_end_user_id_for_cost_tracking @@ -302,9 +303,7 @@ class _ProxyDBLogger(CustomLogger): ) ) - verbose_proxy_logger.exception( - "Error in tracking cost callback - %s", str(e) - ) + spend_log_error("Error in tracking cost callback - %s", str(e), exc=e) @staticmethod async def _enrich_failure_metadata_with_key_info(metadata: dict) -> dict: diff --git a/litellm/proxy/spend_tracking/spend_log_error_logger.py b/litellm/proxy/spend_tracking/spend_log_error_logger.py new file mode 100644 index 00000000000..44414de3828 --- /dev/null +++ b/litellm/proxy/spend_tracking/spend_log_error_logger.py @@ -0,0 +1,77 @@ +""" +Logging helpers for spend-tracking error paths. + +Proxy operators have asked for a way to keep their downstream log sinks free of +the stack traces that the spend-tracking machinery emits when it hits 4xx/5xx +or transient DB errors. The errors still need to be logged (and still need to +flow to Sentry via ``proxy_logging_obj.failure_handler``), but the multi-line +stack traces dominate the log volume and make the surrounding INFO/ERROR lines +hard to read. + +This module exposes ``spend_log_error`` — a thin wrapper around +``verbose_proxy_logger.error`` that drops the traceback portion when the +operator has opted in via ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS=true`` and +the proxy logger is at INFO or above. At DEBUG the full traceback is always +preserved. +""" + +import logging +import os +from typing import Any, Optional + +from litellm._logging import verbose_proxy_logger +from litellm.secret_managers.main import str_to_bool + +SUPPRESS_SPEND_LOG_TRACEBACKS_ENV = "LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS" + + +def _is_suppression_env_enabled() -> bool: + """Read the opt-in env var fresh each call so dynamic flips are honored. + + Kept separate from ``should_suppress_spend_log_tracebacks`` so tests and + other call sites can introspect just the env-var state without also + consulting the live logger level. + """ + return str_to_bool(os.getenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV)) is True + + +def should_suppress_spend_log_tracebacks() -> bool: + """Return ``True`` when spend-log traceback suppression should apply. + + Suppression only kicks in when both: + * the operator opted in via the env var, and + * the proxy logger is at INFO or above (i.e. not DEBUG) — at DEBUG we + still want full tracebacks for troubleshooting. + """ + if not _is_suppression_env_enabled(): + return False + return not verbose_proxy_logger.isEnabledFor(logging.DEBUG) + + +def spend_log_error( + message: str, + *args: Any, + exc: Optional[BaseException] = None, +) -> None: + """Log a spend-tracking error, with the traceback gated on the env var. + + By default this behaves like ``verbose_proxy_logger.exception`` — the + active exception (or ``exc`` if supplied) is attached so the formatter + renders its traceback. When ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS`` is + truthy and the logger is at INFO or above, the traceback is dropped and + only ``message % args`` is emitted. + + Sentry / ``proxy_logging_obj.failure_handler`` is NOT invoked here — call + sites still own the alerting path. This helper is purely about console / + structured-log output volume. + """ + if should_suppress_spend_log_tracebacks(): + verbose_proxy_logger.error(message, *args) + return + + if exc is not None: + verbose_proxy_logger.error( + message, *args, exc_info=(type(exc), exc, exc.__traceback__) + ) + else: + verbose_proxy_logger.error(message, *args, exc_info=True) diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py index ec6245f47e9..5421700ef58 100644 --- a/litellm/proxy/spend_tracking/spend_tracking_utils.py +++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py @@ -25,6 +25,7 @@ from litellm.litellm_core_utils.core_helpers import ( ) from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.proxy._types import SpendLogsMetadata, SpendLogsPayload +from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error from litellm.proxy.utils import PrismaClient, hash_token from litellm.types.utils import ( CostBreakdown, @@ -471,9 +472,7 @@ def get_logging_payload( # noqa: PLR0915 return payload except Exception as e: - verbose_proxy_logger.exception( - "Error creating spendlogs object - {}".format(str(e)) - ) + spend_log_error("Error creating spendlogs object - %s", str(e), exc=e) raise e diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 69cd7b983e7..487c89449db 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -36,6 +36,7 @@ from litellm.proxy._types import ( SpendLogsMetadata, SpendLogsPayload, ) +from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error from litellm.types.guardrails import GuardrailEventHooks from litellm.types.utils import CallTypes, CallTypesLiteral @@ -5106,7 +5107,7 @@ async def update_daily_tag_spend( proxy_logging_obj=proxy_logging_obj, ) except Exception as e: - verbose_proxy_logger.error(f"Error updating daily tag spend: {e}") + spend_log_error("Error updating daily tag spend: %s", str(e), exc=e) async def update_spend_logs_job( @@ -5238,9 +5239,7 @@ async def _monitor_spend_logs_queue( await asyncio.sleep(current_interval) except Exception as e: - verbose_proxy_logger.error( - f"Error in spend logs queue monitor: {str(e)}\n{traceback.format_exc()}" - ) + spend_log_error("Error in spend logs queue monitor: %s", str(e), exc=e) # Continue monitoring even if there's an error, with exponential backoff current_interval = min(current_interval * backoff_multiplier, max_backoff) await asyncio.sleep(current_interval) diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py index 4d584349342..c6017752814 100644 --- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py +++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py @@ -1133,8 +1133,10 @@ async def test_update_daily_spend_logs_detailed_error_on_batch_upsert_failure(): mock_proxy_logging = MagicMock() mock_proxy_logging.failure_handler = AsyncMock() - # Mock the logger to capture exception calls - with patch.object(verbose_proxy_logger, "exception") as mock_exception_logger: + # Capture the ERROR-level log emitted by the spend_log_error helper. + # We assert against the formatted message instead of patching a specific + # logger method so the test stays valid as the helper evolves. + with patch.object(verbose_proxy_logger, "error") as mock_error_logger: # Call the method and expect it to raise the exception with pytest.raises(Exception, match="Unique constraint violation"): await DBSpendUpdateWriter._update_daily_spend( @@ -1148,17 +1150,20 @@ async def test_update_daily_spend_logs_detailed_error_on_batch_upsert_failure(): unique_constraint_name="user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) - # Verify that exception was logged with detailed information - assert mock_exception_logger.called - call_args = mock_exception_logger.call_args[0][0] - assert "Daily user spend batch upsert failed" in call_args - assert "Table: litellm_dailyuserspend" in call_args + # Verify that the error was logged with detailed information. + # spend_log_error formats the message via ``%`` interpolation, so + # render the call args before asserting on substrings. + assert mock_error_logger.called + call = mock_error_logger.call_args + formatted = call.args[0] % call.args[1:] + assert "Daily user spend batch upsert failed" in formatted + assert "Table: litellm_dailyuserspend" in formatted assert ( "Constraint: user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint" - in call_args + in formatted ) - assert "Batch size: 1" in call_args - assert "Unique constraint violation" in call_args + assert "Batch size: 1" in formatted + assert "Unique constraint violation" in formatted @pytest.mark.asyncio diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py b/tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py new file mode 100644 index 00000000000..50d58c5849c --- /dev/null +++ b/tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py @@ -0,0 +1,139 @@ +""" +Unit tests for ``litellm.proxy.spend_tracking.spend_log_error_logger``. + +The helper exists to let proxy operators silence the multi-line stack traces +that the spend-tracking machinery normally emits on 4xx/5xx and DB errors. +These tests cover: + + * the env-var gating behavior (opt-in, off by default), + * the interaction between the env var and the proxy log level (DEBUG always + keeps the traceback, INFO/WARNING honors the opt-in), and + * the fact that ``spend_log_error`` always emits an ERROR-level record so + operators can still see the failure summary. +""" + +import logging + +import pytest + +from litellm._logging import verbose_proxy_logger +from litellm.proxy.spend_tracking.spend_log_error_logger import ( + SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, + should_suppress_spend_log_tracebacks, + spend_log_error, +) + + +@pytest.fixture +def reset_env_and_level(monkeypatch): + """Restore both the env var and proxy logger level after each test.""" + monkeypatch.delenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, raising=False) + original_level = verbose_proxy_logger.level + yield monkeypatch + verbose_proxy_logger.setLevel(original_level) + + +def test_should_suppress_default_is_false(reset_env_and_level): + """With no env var set, suppression is off so existing operators see no change.""" + verbose_proxy_logger.setLevel(logging.INFO) + assert should_suppress_spend_log_tracebacks() is False + + +@pytest.mark.parametrize("value", ["true", "True", "TRUE"]) +def test_should_suppress_when_env_true_at_info(reset_env_and_level, value): + reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, value) + verbose_proxy_logger.setLevel(logging.INFO) + assert should_suppress_spend_log_tracebacks() is True + + +@pytest.mark.parametrize("value", ["false", "False", "no", "0", "", "garbage"]) +def test_should_not_suppress_when_env_falsy(reset_env_and_level, value): + if value == "": + # ``""`` would be ambiguous; ensure the var is genuinely unset. + reset_env_and_level.delenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, raising=False) + else: + reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, value) + verbose_proxy_logger.setLevel(logging.INFO) + assert should_suppress_spend_log_tracebacks() is False + + +def test_debug_level_overrides_suppression(reset_env_and_level): + """DEBUG always shows the traceback even when the env var is set.""" + reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, "true") + verbose_proxy_logger.setLevel(logging.DEBUG) + assert should_suppress_spend_log_tracebacks() is False + + +def test_spend_log_error_includes_traceback_by_default(reset_env_and_level, caplog): + """Default behavior: ERROR record carries exc_info so the formatter renders it.""" + verbose_proxy_logger.setLevel(logging.INFO) + caplog.set_level(logging.ERROR, logger=verbose_proxy_logger.name) + + try: + raise ValueError("boom") + except ValueError as e: + spend_log_error("update failed: %s", str(e), exc=e) + + assert len(caplog.records) == 1 + record = caplog.records[0] + assert record.levelno == logging.ERROR + assert "update failed: boom" in record.getMessage() + assert record.exc_info is not None + assert record.exc_info[0] is ValueError + + +def test_spend_log_error_drops_traceback_when_env_set(reset_env_and_level, caplog): + """Opt-in path: ERROR record still emitted, but exc_info is stripped.""" + reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, "true") + verbose_proxy_logger.setLevel(logging.INFO) + caplog.set_level(logging.ERROR, logger=verbose_proxy_logger.name) + + try: + raise ValueError("boom") + except ValueError as e: + spend_log_error("update failed: %s", str(e), exc=e) + + assert len(caplog.records) == 1 + record = caplog.records[0] + assert record.levelno == logging.ERROR + assert "update failed: boom" in record.getMessage() + assert record.exc_info is None + + +def test_spend_log_error_keeps_traceback_at_debug_even_with_env( + reset_env_and_level, caplog +): + """DEBUG operators always get tracebacks; the env var doesn't apply.""" + reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, "true") + verbose_proxy_logger.setLevel(logging.DEBUG) + caplog.set_level(logging.DEBUG, logger=verbose_proxy_logger.name) + + try: + raise RuntimeError("boom-at-debug") + except RuntimeError as e: + spend_log_error("update failed: %s", str(e), exc=e) + + error_records = [r for r in caplog.records if r.levelno == logging.ERROR] + assert len(error_records) == 1 + record = error_records[0] + assert record.exc_info is not None + assert record.exc_info[0] is RuntimeError + + +def test_spend_log_error_uses_active_exception_when_exc_omitted( + reset_env_and_level, caplog +): + """When called inside an ``except`` block without ``exc=``, the active + exception's traceback should still be attached.""" + verbose_proxy_logger.setLevel(logging.INFO) + caplog.set_level(logging.ERROR, logger=verbose_proxy_logger.name) + + try: + raise KeyError("missing") + except KeyError: + spend_log_error("update failed without exc kwarg") + + assert len(caplog.records) == 1 + record = caplog.records[0] + assert record.exc_info is not None + assert record.exc_info[0] is KeyError From 0e75c07166dcbbced56274b7aced1990d9f53381 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Thu, 30 Apr 2026 17:50:33 +0000 Subject: [PATCH 068/160] fix(spend-logs): preserve no-traceback behavior for update_daily_tag_spend This call site previously logged a single-line error via verbose_proxy_logger.error() with no traceback. Switching it to spend_log_error(..., exc=e) caused a full stack trace to render by default (when LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS is unset), which contradicts the PR goal of leaving default behavior unchanged. Revert this specific site to the original error log call. --- litellm/proxy/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 487c89449db..35e14f493e1 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -5107,7 +5107,7 @@ async def update_daily_tag_spend( proxy_logging_obj=proxy_logging_obj, ) except Exception as e: - spend_log_error("Error updating daily tag spend: %s", str(e), exc=e) + verbose_proxy_logger.error(f"Error updating daily tag spend: {e}") async def update_spend_logs_job( From dfd8c406ee1637d366b21267cf62a32dccc32867 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Thu, 30 Apr 2026 17:54:51 +0000 Subject: [PATCH 069/160] fix(spend-logs): preserve no-traceback behavior for update_daily_tag_spend Bugbot caught a regression: the previous error log here was a single-line verbose_proxy_logger.error(...) with no traceback. spend_log_error attaches the active exception's traceback by default (when the suppression env var is unset), so swapping it in changed default behavior. Revert this one site to its original .error() call to keep the PR strictly opt-in. Co-authored-by: Mateo Wang --- litellm/proxy/utils.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 35e14f493e1..e7f5f4ee396 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -5107,6 +5107,11 @@ async def update_daily_tag_spend( proxy_logging_obj=proxy_logging_obj, ) except Exception as e: + # NOTE: keep this as a plain ``error`` (no traceback) to match the + # historical behavior of this site. ``spend_log_error`` would attach + # the active exception's traceback whenever the suppression env var + # is unset, which would be a regression for operators who never saw + # one here before. verbose_proxy_logger.error(f"Error updating daily tag spend: {e}") From 5b775d1274f79bb09165e08e7cb85198cfe37632 Mon Sep 17 00:00:00 2001 From: Claude Date: Sat, 2 May 2026 00:19:01 +0000 Subject: [PATCH 070/160] feat(spend-logs): suppress traceback in SpendLogs error_information row Extend LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS to the failure callback so the per-row Metadata pane in the UI no longer shows the stack trace when the opt-in env var is set, matching the existing console-side suppression. https://claude.ai/code/session_014dztoRbRnRvq54HL9EyHx6 --- .../proxy/hooks/proxy_track_cost_callback.py | 16 ++-- .../spend_tracking/spend_log_error_logger.py | 27 ++++--- .../hooks/test_proxy_track_cost_callback.py | 75 +++++++++++++++++++ 3 files changed, 101 insertions(+), 17 deletions(-) diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py index 0a677b5423a..823e19025e4 100644 --- a/litellm/proxy/hooks/proxy_track_cost_callback.py +++ b/litellm/proxy/hooks/proxy_track_cost_callback.py @@ -19,7 +19,10 @@ from litellm.proxy.auth.auth_checks import ( ) from litellm.proxy.auth.route_checks import RouteChecks from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup -from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error +from litellm.proxy.spend_tracking.spend_log_error_logger import ( + should_suppress_spend_log_tracebacks, + spend_log_error, +) from litellm.proxy.utils import ProxyUpdateSpend from litellm.types.utils import StandardLoggingPayload from litellm.utils import get_end_user_id_for_cost_tracking @@ -75,12 +78,13 @@ class _ProxyDBLogger(CustomLogger): ) _metadata["user_api_key"] = user_api_key_dict.api_key _metadata["status"] = "failure" - _metadata["error_information"] = ( - StandardLoggingPayloadSetup.get_error_information( - original_exception=original_exception, - traceback_str=traceback_str, - ) + _error_information = StandardLoggingPayloadSetup.get_error_information( + original_exception=original_exception, + traceback_str=traceback_str, ) + if should_suppress_spend_log_tracebacks(): + _error_information = {**_error_information, "traceback": ""} + _metadata["error_information"] = _error_information _metadata = await _ProxyDBLogger._enrich_failure_metadata_with_key_info( metadata=_metadata, diff --git a/litellm/proxy/spend_tracking/spend_log_error_logger.py b/litellm/proxy/spend_tracking/spend_log_error_logger.py index 44414de3828..bcb90f9bbd4 100644 --- a/litellm/proxy/spend_tracking/spend_log_error_logger.py +++ b/litellm/proxy/spend_tracking/spend_log_error_logger.py @@ -1,18 +1,23 @@ """ Logging helpers for spend-tracking error paths. -Proxy operators have asked for a way to keep their downstream log sinks free of -the stack traces that the spend-tracking machinery emits when it hits 4xx/5xx -or transient DB errors. The errors still need to be logged (and still need to -flow to Sentry via ``proxy_logging_obj.failure_handler``), but the multi-line -stack traces dominate the log volume and make the surrounding INFO/ERROR lines -hard to read. +Proxy operators have asked for a way to keep both their downstream log sinks +and the SpendLogs UI free of the stack traces that the spend-tracking +machinery emits when it hits 4xx/5xx or transient DB errors. The errors still +need to be logged (and still flow to Sentry via +``proxy_logging_obj.failure_handler``), but the multi-line stack traces +dominate log volume and clutter the per-row Metadata pane in the UI. -This module exposes ``spend_log_error`` — a thin wrapper around -``verbose_proxy_logger.error`` that drops the traceback portion when the -operator has opted in via ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS=true`` and -the proxy logger is at INFO or above. At DEBUG the full traceback is always -preserved. +The opt-in is a single env var, ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS=true``, +gated by ``should_suppress_spend_log_tracebacks``. When it returns ``True``: + * ``spend_log_error`` drops the traceback from the console / structured log + record (this module), and + * the failure callback in ``proxy_track_cost_callback`` blanks the + ``error_information.traceback`` field on the SpendLogs row before it is + persisted, so the UI's per-row Metadata pane stays clean. + +At DEBUG the full traceback is always preserved so operators can still +troubleshoot. The UI suppression follows the same gate. """ import logging diff --git a/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py b/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py index 8b5835139b4..ad8c01db0a5 100644 --- a/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py +++ b/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py @@ -990,3 +990,78 @@ async def test_async_post_call_failure_hook_uses_actual_start_time(): # Duration should be approximately 60 seconds, not 0 duration = (call_args["end_time"] - call_args["start_time"]).total_seconds() assert duration >= 55, f"Duration should be ~60s, got {duration}s" + + +async def _invoke_failure_hook_with_raised_exception(): + """Run the failure hook with an exception that has a real ``__traceback__``. + + Returns the metadata dict that was forwarded to ``update_database`` so the + caller can assert on its ``error_information`` payload. + """ + logger = _ProxyDBLogger() + user_api_key_dict = UserAPIKeyAuth( + api_key="test_api_key", + user_id="u", + team_id="t", + ) + request_data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "metadata": {}, + "proxy_server_request": {}, + } + + try: + raise RuntimeError("boom-with-traceback") + except RuntimeError as exc: + original_exception = exc + + with patch( + "litellm.proxy.db.db_spend_update_writer.DBSpendUpdateWriter.update_database", + new_callable=AsyncMock, + ) as mock_update_database: + await logger.async_post_call_failure_hook( + request_data=request_data, + original_exception=original_exception, + user_api_key_dict=user_api_key_dict, + ) + call_args = mock_update_database.call_args[1] + return call_args["kwargs"]["litellm_params"]["metadata"] + + +@pytest.mark.asyncio +async def test_failure_hook_keeps_error_information_traceback_by_default(monkeypatch): + """Without the opt-in env var, the SpendLogs row carries the full traceback.""" + monkeypatch.delenv("LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS", raising=False) + + metadata = await _invoke_failure_hook_with_raised_exception() + + error_information = metadata["error_information"] + assert error_information["error_class"] == "RuntimeError" + assert error_information["error_message"] == "boom-with-traceback" + assert error_information["traceback"], "expected a non-empty traceback by default" + + +@pytest.mark.asyncio +async def test_failure_hook_blanks_error_information_traceback_when_env_set( + monkeypatch, +): + """With the opt-in env var, the traceback in the SpendLogs row is blanked + so the per-row Metadata pane in the UI stays clean. The other fields + (error_class / error_message / error_code) are preserved.""" + import logging + + from litellm._logging import verbose_proxy_logger + + monkeypatch.setenv("LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS", "true") + original_level = verbose_proxy_logger.level + verbose_proxy_logger.setLevel(logging.INFO) + try: + metadata = await _invoke_failure_hook_with_raised_exception() + finally: + verbose_proxy_logger.setLevel(original_level) + + error_information = metadata["error_information"] + assert error_information["traceback"] == "" + assert error_information["error_class"] == "RuntimeError" + assert error_information["error_message"] == "boom-with-traceback" From 2776e0162c697e9fd9131261a266873339e4f140 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 18:04:06 -0700 Subject: [PATCH 071/160] harden cloud file compatibility path --- litellm/files/main.py | 6 ++ .../cloud_storage_security.py | 31 ++++++- litellm/llms/bedrock/files/handler.py | 23 +++++- litellm/llms/vertex_ai/files/handler.py | 2 + .../llms/vertex_ai/files/transformation.py | 4 + .../openai_files_endpoints/common_utils.py | 8 ++ .../openai_files_endpoints/files_endpoints.py | 1 + .../test_model_based_routing_files_batches.py | 39 +++++++++ .../files/test_bedrock_files_handler.py | 80 ++++++++++++++++++- .../files/test_vertex_ai_files_handler.py | 17 ++++ .../test_vertex_ai_files_transformation.py | 34 ++++++++ 11 files changed, 236 insertions(+), 9 deletions(-) diff --git a/litellm/files/main.py b/litellm/files/main.py index ceccba8d800..a516ab372d7 100644 --- a/litellm/files/main.py +++ b/litellm/files/main.py @@ -10,6 +10,7 @@ import contextvars import time import uuid as uuid_module from functools import partial +from types import MappingProxyType from typing import Any, Coroutine, Dict, Literal, Optional, Union, cast import httpx @@ -846,6 +847,11 @@ def file_content( try: optional_params = GenericLiteLLMParams(**kwargs) litellm_params_dict = get_litellm_params(**kwargs) + trusted_model_credentials = kwargs.get("_litellm_internal_model_credentials") + if isinstance(trusted_model_credentials, type(MappingProxyType({}))): + litellm_params_dict["_litellm_internal_model_credentials"] = ( + trusted_model_credentials + ) ### TIMEOUT LOGIC ### timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600 client = kwargs.get("client") diff --git a/litellm/litellm_core_utils/cloud_storage_security.py b/litellm/litellm_core_utils/cloud_storage_security.py index b47a07abb91..4766331fae1 100644 --- a/litellm/litellm_core_utils/cloud_storage_security.py +++ b/litellm/litellm_core_utils/cloud_storage_security.py @@ -1,3 +1,4 @@ +import os import posixpath import re from typing import Optional, Sequence, Tuple @@ -109,11 +110,26 @@ def encode_s3_object_key_for_url(object_key: str) -> str: return quote(unquote(object_key), safe="/") +def should_allow_legacy_cloud_file_ids(litellm_params: Optional[dict] = None) -> bool: + value = None + if isinstance(litellm_params, dict): + value = litellm_params.get("allow_legacy_cloud_file_ids") + if value is None: + value = os.getenv("LITELLM_ALLOW_LEGACY_CLOUD_FILE_IDS") + + if isinstance(value, bool): + return value + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return False + + def validate_managed_cloud_file_id( file_id: str, scheme: str, configured_bucket_name: str, allowed_object_prefixes: Sequence[str], + allow_legacy_cloud_file_ids: bool = False, ) -> Tuple[str, str]: decoded_file_id = unquote(file_id) if not decoded_file_id.startswith(scheme): @@ -137,7 +153,16 @@ def validate_managed_cloud_file_id( f"{configured_prefix.rstrip('/')}/{prefix}" for prefix in allowed_prefixes ) - if not object_name.startswith(allowed_prefixes): - raise ValueError("file_id must reference a LiteLLM-managed storage object") + if object_name.startswith(allowed_prefixes): + return bucket_name, object_name - return bucket_name, object_name + if allow_legacy_cloud_file_ids: + if configured_prefix and not object_name.startswith( + f"{configured_prefix.rstrip('/')}/" + ): + raise ValueError( + "file_id object does not match the configured storage prefix" + ) + return bucket_name, object_name + + raise ValueError("file_id must reference a LiteLLM-managed storage object") diff --git a/litellm/llms/bedrock/files/handler.py b/litellm/llms/bedrock/files/handler.py index b3cd77cff72..faa34ac6ca7 100644 --- a/litellm/llms/bedrock/files/handler.py +++ b/litellm/llms/bedrock/files/handler.py @@ -1,6 +1,7 @@ import asyncio import base64 import os +from types import MappingProxyType from typing import Any, Coroutine, Optional, Tuple, Union import httpx @@ -8,6 +9,7 @@ import httpx from litellm import LlmProviders from litellm.litellm_core_utils.cloud_storage_security import ( BEDROCK_MANAGED_S3_PREFIXES, + should_allow_legacy_cloud_file_ids, validate_managed_cloud_file_id, ) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client @@ -71,7 +73,10 @@ class BedrockFilesHandler(BaseAWSLLM): raise ValueError("file_id must be a managed LiteLLM S3 file id") def _parse_s3_uri( - self, s3_uri: str, configured_bucket_name: str + self, + s3_uri: str, + configured_bucket_name: str, + allow_legacy_cloud_file_ids: bool = False, ) -> Tuple[str, str]: """ Parse S3 URI to extract bucket name and object key. @@ -87,13 +92,20 @@ class BedrockFilesHandler(BaseAWSLLM): scheme="s3://", configured_bucket_name=configured_bucket_name, allowed_object_prefixes=BEDROCK_MANAGED_S3_PREFIXES, + allow_legacy_cloud_file_ids=allow_legacy_cloud_file_ids, ) - def _get_configured_s3_bucket_name(self, optional_params: dict) -> str: - bucket_name = os.getenv("AWS_S3_BUCKET_NAME") + def _get_configured_s3_bucket_name(self, litellm_params: dict) -> str: + trusted_model_credentials = litellm_params.get( + "_litellm_internal_model_credentials" + ) + bucket_name = None + if isinstance(trusted_model_credentials, type(MappingProxyType({}))): + bucket_name = trusted_model_credentials.get("s3_bucket_name") + bucket_name = bucket_name or os.getenv("AWS_S3_BUCKET_NAME") if not bucket_name: raise ValueError( - "S3 bucket_name is required. Set AWS_S3_BUCKET_NAME for Bedrock file content retrieval." + "S3 bucket_name is required. Set 's3_bucket_name' in proxy config or AWS_S3_BUCKET_NAME for Bedrock file content retrieval." ) return bucket_name @@ -129,6 +141,9 @@ class BedrockFilesHandler(BaseAWSLLM): bucket_name, object_key = self._parse_s3_uri( s3_uri=s3_uri, configured_bucket_name=configured_bucket_name, + allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids( + optional_params + ), ) # Get AWS credentials diff --git a/litellm/llms/vertex_ai/files/handler.py b/litellm/llms/vertex_ai/files/handler.py index 48683ba41ae..402a21f56c4 100644 --- a/litellm/llms/vertex_ai/files/handler.py +++ b/litellm/llms/vertex_ai/files/handler.py @@ -11,6 +11,7 @@ from litellm.integrations.gcs_bucket.gcs_bucket_base import ( ) from litellm.litellm_core_utils.cloud_storage_security import ( VERTEX_AI_MANAGED_GCS_PREFIX, + should_allow_legacy_cloud_file_ids, validate_managed_cloud_file_id, ) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client @@ -134,6 +135,7 @@ class VertexAIFilesHandler(GCSBucketBase): scheme="gs://", configured_bucket_name=configured_bucket_name, allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,), + allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(), ) async def afile_content( diff --git a/litellm/llms/vertex_ai/files/transformation.py b/litellm/llms/vertex_ai/files/transformation.py index b864ad43136..85663bd551c 100644 --- a/litellm/llms/vertex_ai/files/transformation.py +++ b/litellm/llms/vertex_ai/files/transformation.py @@ -12,6 +12,7 @@ from litellm.litellm_core_utils.cloud_storage_security import ( build_managed_cloud_object_name, encode_gcs_object_name_for_url, sanitize_cloud_object_path, + should_allow_legacy_cloud_file_ids, split_configured_cloud_bucket_name, validate_managed_cloud_file_id, ) @@ -362,6 +363,9 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig): scheme="gs://", configured_bucket_name=configured_bucket_name, allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,), + allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids( + litellm_params + ), ) return bucket_name, encode_gcs_object_name_for_url(object_path) diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py index 25ad1b25aad..30c78ed5ba7 100644 --- a/litellm/proxy/openai_files_endpoints/common_utils.py +++ b/litellm/proxy/openai_files_endpoints/common_utils.py @@ -2,6 +2,7 @@ import base64 import mimetypes import re from dataclasses import dataclass, field +from types import MappingProxyType from typing import TYPE_CHECKING, List, Literal, Optional, Union from litellm.types.utils import SpecialEnums @@ -298,6 +299,7 @@ def prepare_data_with_credentials( data: dict, credentials: dict, file_id: Optional[str] = None, + include_internal_credentials: bool = False, ) -> None: """ Update data dictionary with model credentials (in-place). @@ -306,8 +308,14 @@ def prepare_data_with_credentials( data: Data dictionary to update credentials: Credentials from router file_id: Optional original file_id to set (for decoded file IDs) + include_internal_credentials: Preserve an immutable server-side snapshot + for code paths that must distinguish proxy config from request params. """ data.update(credentials) + if include_internal_credentials: + data["_litellm_internal_model_credentials"] = MappingProxyType( + dict(credentials) + ) data.pop("custom_llm_provider", None) if file_id is not None: diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index c9be707af0c..c69898621e4 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -774,6 +774,7 @@ async def get_file_content( # noqa: PLR0915 data=data, credentials=credentials, # type: ignore file_id=original_file_id, # Use decoded file ID if from encoded ID + include_internal_credentials=True, ) response = await litellm.afile_content( custom_llm_provider=credentials["custom_llm_provider"], # type: ignore diff --git a/tests/litellm/proxy/test_model_based_routing_files_batches.py b/tests/litellm/proxy/test_model_based_routing_files_batches.py index 94e2c4603bc..f9bc07212a2 100644 --- a/tests/litellm/proxy/test_model_based_routing_files_batches.py +++ b/tests/litellm/proxy/test_model_based_routing_files_batches.py @@ -6,10 +6,13 @@ Tests the model-based routing ID encoding/decoding used by the batch and file proxy endpoints. """ +from types import MappingProxyType + from litellm.proxy.openai_files_endpoints.common_utils import ( decode_model_from_file_id, encode_file_id_with_model, get_original_file_id, + prepare_data_with_credentials, ) @@ -50,6 +53,42 @@ class TestEncodeFileIdWithModel: assert result.startswith("file-") +class TestPrepareDataWithCredentials: + def test_preserves_trusted_internal_credentials_snapshot(self): + data = {"file_id": "file-abc"} + credentials = { + "custom_llm_provider": "bedrock", + "s3_bucket_name": "safe-bucket", + } + + prepare_data_with_credentials( + data=data, + credentials=credentials, + include_internal_credentials=True, + ) + + assert data["s3_bucket_name"] == "safe-bucket" + assert "custom_llm_provider" not in data + assert isinstance( + data["_litellm_internal_model_credentials"], type(MappingProxyType({})) + ) + assert ( + data["_litellm_internal_model_credentials"]["s3_bucket_name"] + == "safe-bucket" + ) + + def test_does_not_add_internal_credentials_by_default(self): + data = {"file_id": "file-abc"} + credentials = { + "custom_llm_provider": "bedrock", + "s3_bucket_name": "safe-bucket", + } + + prepare_data_with_credentials(data=data, credentials=credentials) + + assert "_litellm_internal_model_credentials" not in data + + class TestRoundTrip: """Tests for encode -> decode round-trip integrity.""" diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py index d1622008b0e..e73be764c66 100644 --- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py +++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py @@ -1,9 +1,11 @@ import base64 import os -from unittest.mock import patch +from types import MappingProxyType +from unittest.mock import MagicMock, patch import pytest +import litellm.files.main as files_main from litellm.llms.bedrock.files.handler import BedrockFilesHandler from litellm.types.utils import SpecialEnums @@ -55,6 +57,34 @@ class TestBedrockFilesHandler: configured_bucket_name="safe-bucket", ) + def test_should_allow_legacy_same_bucket_key_when_server_flag_enabled(self): + bucket, key = self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/private/output.jsonl", + configured_bucket_name="safe-bucket", + allow_legacy_cloud_file_ids=True, + ) + + assert bucket == "safe-bucket" + assert key == "private/output.jsonl" + + def test_should_keep_configured_prefix_for_legacy_keys(self): + bucket, key = self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/team-a/private/output.jsonl", + configured_bucket_name="safe-bucket/team-a", + allow_legacy_cloud_file_ids=True, + ) + + assert bucket == "safe-bucket" + assert key == "team-a/private/output.jsonl" + + def test_should_reject_legacy_key_outside_configured_prefix(self): + with pytest.raises(ValueError, match="configured storage prefix"): + self.handler._parse_s3_uri( + s3_uri="s3://safe-bucket/team-b/private/output.jsonl", + configured_bucket_name="safe-bucket/team-a", + allow_legacy_cloud_file_ids=True, + ) + def test_should_reject_dot_segment_key(self): with pytest.raises(ValueError, match="invalid path segment"): self.handler._parse_s3_uri( @@ -102,9 +132,55 @@ class TestBedrockFilesHandler: == "safe-bucket" ) + def test_should_trust_proxy_config_s3_bucket_name_for_expected_bucket(self): + trusted_credentials = MappingProxyType({"s3_bucket_name": "safe-bucket"}) + + with patch.dict(os.environ, {}, clear=True): + assert ( + self.handler._get_configured_s3_bucket_name( + { + "s3_bucket_name": "attacker-bucket", + "_litellm_internal_model_credentials": trusted_credentials, + } + ) + == "safe-bucket" + ) + + def test_should_not_trust_user_supplied_internal_credentials_dict(self): + with patch.dict(os.environ, {}, clear=True): + with pytest.raises(ValueError, match="S3 bucket_name is required"): + self.handler._get_configured_s3_bucket_name( + { + "_litellm_internal_model_credentials": { + "s3_bucket_name": "attacker-bucket" + } + } + ) + def test_should_require_server_s3_bucket_name(self): with patch.dict(os.environ, {}, clear=True): - with pytest.raises(ValueError, match="AWS_S3_BUCKET_NAME"): + with pytest.raises(ValueError, match="S3 bucket_name is required"): self.handler._get_configured_s3_bucket_name( {"s3_bucket_name": "attacker-bucket"} ) + + +def test_should_forward_trusted_model_credentials_to_bedrock_provider_config(): + trusted_credentials = MappingProxyType({"s3_bucket_name": "safe-bucket"}) + mock_response = MagicMock() + + with patch.object( + files_main.base_llm_http_handler, + "retrieve_file_content", + return_value=mock_response, + ) as mock_retrieve_file_content: + response = files_main.file_content( + file_id="s3://safe-bucket/litellm-bedrock-files/file.jsonl", + custom_llm_provider="bedrock", + _litellm_internal_model_credentials=trusted_credentials, + ) + + assert response is mock_response + litellm_params = mock_retrieve_file_content.call_args.kwargs["litellm_params"] + assert litellm_params["_litellm_internal_model_credentials"] is trusted_credentials + assert "s3_bucket_name" not in litellm_params diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py index 2b71e6c18dc..6558cc2969f 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py @@ -3,6 +3,7 @@ Test Vertex AI files handler functionality """ import asyncio +import os import pytest from unittest.mock import AsyncMock, patch @@ -66,6 +67,22 @@ class TestVertexAIFilesHandler: configured_bucket_name="test-bucket", ) + def test_extract_bucket_and_object_from_file_id_allows_legacy_path_with_env_flag( + self, + ): + file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt" + + with patch.dict(os.environ, {"LITELLM_ALLOW_LEGACY_CLOUD_FILE_IDS": "true"}): + bucket_name, object_path = ( + self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", + ) + ) + + assert bucket_name == "test-bucket" + assert object_path == "test-file.txt" + def test_extract_bucket_and_object_from_file_id_rejects_no_gs_prefix(self): """Test extraction when gs:// prefix is missing""" file_id = "test-bucket%2Flitellm-vertex-files%2Ftest-file.txt" diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py index 4a7a8733ae9..5c018513b0d 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py @@ -73,6 +73,40 @@ class TestParseGcsUri: litellm_params={"bucket_name": "my-bucket"}, ) + def test_should_allow_legacy_object_path_when_server_flag_enabled(self, config): + bucket, encoded = config._parse_gcs_uri( + "gs://my-bucket/private/object.txt", + litellm_params={ + "bucket_name": "my-bucket", + "allow_legacy_cloud_file_ids": True, + }, + ) + + assert bucket == "my-bucket" + assert encoded == urllib.parse.quote("private/object.txt", safe="") + + def test_should_keep_configured_prefix_for_legacy_object_path(self, config): + bucket, encoded = config._parse_gcs_uri( + "gs://my-bucket/team-a/private/object.txt", + litellm_params={ + "bucket_name": "my-bucket/team-a", + "allow_legacy_cloud_file_ids": True, + }, + ) + + assert bucket == "my-bucket" + assert encoded == urllib.parse.quote("team-a/private/object.txt", safe="") + + def test_should_reject_legacy_object_outside_configured_prefix(self, config): + with pytest.raises(ValueError, match="configured storage prefix"): + config._parse_gcs_uri( + "gs://my-bucket/team-b/private/object.txt", + litellm_params={ + "bucket_name": "my-bucket/team-a", + "allow_legacy_cloud_file_ids": True, + }, + ) + def test_should_reject_unconfigured_bucket(self, config): with pytest.raises(ValueError, match="configured storage bucket"): config._parse_gcs_uri( From e7c23fc0413cda59fec82f2c973323d0ba1f5a17 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 18:14:36 -0700 Subject: [PATCH 072/160] harden cloud file compatibility path --- litellm/files/main.py | 27 +++++++++++++++---- .../cloud_storage_security.py | 21 ++++++++++----- litellm/llms/bedrock/files/handler.py | 11 ++++++-- litellm/llms/vertex_ai/files/handler.py | 2 -- .../openai_files_endpoints/files_endpoints.py | 2 ++ .../files/test_bedrock_files_handler.py | 20 ++++++++++++++ .../files/test_vertex_ai_files_handler.py | 17 ------------ .../test_vertex_ai_files_transformation.py | 26 ++++++++++++++++++ 8 files changed, 94 insertions(+), 32 deletions(-) diff --git a/litellm/files/main.py b/litellm/files/main.py index a516ab372d7..65802be683f 100644 --- a/litellm/files/main.py +++ b/litellm/files/main.py @@ -86,6 +86,16 @@ bedrock_files_instance = BedrockFilesHandler() ################################################# +def _add_trusted_model_credentials_to_litellm_params( + litellm_params_dict: Dict[str, Any], kwargs: Dict[str, Any] +) -> None: + trusted_model_credentials = kwargs.get("_litellm_internal_model_credentials") + if isinstance(trusted_model_credentials, type(MappingProxyType({}))): + litellm_params_dict["_litellm_internal_model_credentials"] = ( + trusted_model_credentials + ) + + @client async def acreate_file( file: FileTypes, @@ -374,6 +384,10 @@ def file_retrieve( ) if provider_config is not None: litellm_params_dict = get_litellm_params(**kwargs) + _add_trusted_model_credentials_to_litellm_params( + litellm_params_dict=litellm_params_dict, + kwargs=kwargs, + ) litellm_params_dict["api_key"] = optional_params.api_key litellm_params_dict["api_base"] = optional_params.api_base @@ -498,6 +512,10 @@ def file_delete( pass optional_params = GenericLiteLLMParams(**kwargs) litellm_params_dict = get_litellm_params(**kwargs) + _add_trusted_model_credentials_to_litellm_params( + litellm_params_dict=litellm_params_dict, + kwargs=kwargs, + ) ### TIMEOUT LOGIC ### timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600 # set timeout for 10 minutes by default @@ -847,11 +865,10 @@ def file_content( try: optional_params = GenericLiteLLMParams(**kwargs) litellm_params_dict = get_litellm_params(**kwargs) - trusted_model_credentials = kwargs.get("_litellm_internal_model_credentials") - if isinstance(trusted_model_credentials, type(MappingProxyType({}))): - litellm_params_dict["_litellm_internal_model_credentials"] = ( - trusted_model_credentials - ) + _add_trusted_model_credentials_to_litellm_params( + litellm_params_dict=litellm_params_dict, + kwargs=kwargs, + ) ### TIMEOUT LOGIC ### timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600 client = kwargs.get("client") diff --git a/litellm/litellm_core_utils/cloud_storage_security.py b/litellm/litellm_core_utils/cloud_storage_security.py index 4766331fae1..cdb36933c59 100644 --- a/litellm/litellm_core_utils/cloud_storage_security.py +++ b/litellm/litellm_core_utils/cloud_storage_security.py @@ -1,7 +1,7 @@ -import os import posixpath import re -from typing import Optional, Sequence, Tuple +from types import MappingProxyType +from typing import Any, Mapping, Optional, Sequence, Tuple, cast from urllib.parse import quote, unquote from litellm._uuid import uuid @@ -15,6 +15,7 @@ BEDROCK_MANAGED_S3_PREFIXES = ( BEDROCK_MANAGED_S3_UPLOAD_PREFIX, BEDROCK_MANAGED_S3_OUTPUT_PREFIX, ) +_MAPPING_PROXY_TYPE: type = type(MappingProxyType({})) _SAFE_OBJECT_COMPONENT_PATTERN = re.compile(r"[^A-Za-z0-9._-]+") @@ -110,12 +111,20 @@ def encode_s3_object_key_for_url(object_key: str) -> str: return quote(unquote(object_key), safe="/") -def should_allow_legacy_cloud_file_ids(litellm_params: Optional[dict] = None) -> bool: +def should_allow_legacy_cloud_file_ids( + litellm_params: Optional[Mapping[str, Any]] = None, +) -> bool: value = None - if isinstance(litellm_params, dict): + if isinstance(litellm_params, Mapping): value = litellm_params.get("allow_legacy_cloud_file_ids") - if value is None: - value = os.getenv("LITELLM_ALLOW_LEGACY_CLOUD_FILE_IDS") + if value is None: + trusted_model_credentials = litellm_params.get( + "_litellm_internal_model_credentials" + ) + if isinstance(trusted_model_credentials, _MAPPING_PROXY_TYPE): + value = cast(Mapping[str, Any], trusted_model_credentials).get( + "allow_legacy_cloud_file_ids" + ) if isinstance(value, bool): return value diff --git a/litellm/llms/bedrock/files/handler.py b/litellm/llms/bedrock/files/handler.py index faa34ac6ca7..ecf157e12ee 100644 --- a/litellm/llms/bedrock/files/handler.py +++ b/litellm/llms/bedrock/files/handler.py @@ -2,7 +2,7 @@ import asyncio import base64 import os from types import MappingProxyType -from typing import Any, Coroutine, Optional, Tuple, Union +from typing import Any, Coroutine, Mapping, Optional, Tuple, Union, cast import httpx @@ -101,7 +101,14 @@ class BedrockFilesHandler(BaseAWSLLM): ) bucket_name = None if isinstance(trusted_model_credentials, type(MappingProxyType({}))): - bucket_name = trusted_model_credentials.get("s3_bucket_name") + trusted_model_credentials_mapping = cast( + Mapping[str, Any], trusted_model_credentials + ) + candidate_bucket_name = trusted_model_credentials_mapping.get( + "s3_bucket_name" + ) + if isinstance(candidate_bucket_name, str): + bucket_name = candidate_bucket_name bucket_name = bucket_name or os.getenv("AWS_S3_BUCKET_NAME") if not bucket_name: raise ValueError( diff --git a/litellm/llms/vertex_ai/files/handler.py b/litellm/llms/vertex_ai/files/handler.py index 402a21f56c4..48683ba41ae 100644 --- a/litellm/llms/vertex_ai/files/handler.py +++ b/litellm/llms/vertex_ai/files/handler.py @@ -11,7 +11,6 @@ from litellm.integrations.gcs_bucket.gcs_bucket_base import ( ) from litellm.litellm_core_utils.cloud_storage_security import ( VERTEX_AI_MANAGED_GCS_PREFIX, - should_allow_legacy_cloud_file_ids, validate_managed_cloud_file_id, ) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client @@ -135,7 +134,6 @@ class VertexAIFilesHandler(GCSBucketBase): scheme="gs://", configured_bucket_name=configured_bucket_name, allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,), - allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(), ) async def afile_content( diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index c69898621e4..378cbbda89c 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -950,6 +950,7 @@ async def get_file( data=data, credentials=credentials, # type: ignore file_id=original_file_id, + include_internal_credentials=True, ) response = await litellm.afile_retrieve(**data) # type: ignore @@ -1150,6 +1151,7 @@ async def delete_file( data=data, credentials=credentials, # type: ignore file_id=original_file_id, + include_internal_credentials=True, ) response = await litellm.afile_delete( diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py index e73be764c66..7f91b49a6f5 100644 --- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py +++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py @@ -184,3 +184,23 @@ def test_should_forward_trusted_model_credentials_to_bedrock_provider_config(): litellm_params = mock_retrieve_file_content.call_args.kwargs["litellm_params"] assert litellm_params["_litellm_internal_model_credentials"] is trusted_credentials assert "s3_bucket_name" not in litellm_params + + +def test_should_forward_trusted_model_credentials_to_retrieve_provider_config(): + trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True}) + mock_response = MagicMock() + + with patch.object( + files_main.base_llm_http_handler, + "retrieve_file", + return_value=mock_response, + ) as mock_retrieve_file: + response = files_main.file_retrieve( + file_id="gs://safe-bucket/private/file.jsonl", + custom_llm_provider="vertex_ai", + _litellm_internal_model_credentials=trusted_credentials, + ) + + assert response is mock_response + litellm_params = mock_retrieve_file.call_args.kwargs["litellm_params"] + assert litellm_params["_litellm_internal_model_credentials"] is trusted_credentials diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py index 6558cc2969f..2b71e6c18dc 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py @@ -3,7 +3,6 @@ Test Vertex AI files handler functionality """ import asyncio -import os import pytest from unittest.mock import AsyncMock, patch @@ -67,22 +66,6 @@ class TestVertexAIFilesHandler: configured_bucket_name="test-bucket", ) - def test_extract_bucket_and_object_from_file_id_allows_legacy_path_with_env_flag( - self, - ): - file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt" - - with patch.dict(os.environ, {"LITELLM_ALLOW_LEGACY_CLOUD_FILE_IDS": "true"}): - bucket_name, object_path = ( - self.handler._extract_bucket_and_object_from_file_id( - file_id=file_id, - configured_bucket_name="test-bucket", - ) - ) - - assert bucket_name == "test-bucket" - assert object_path == "test-file.txt" - def test_extract_bucket_and_object_from_file_id_rejects_no_gs_prefix(self): """Test extraction when gs:// prefix is missing""" file_id = "test-bucket%2Flitellm-vertex-files%2Ftest-file.txt" diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py index 5c018513b0d..91d5e87371f 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py @@ -3,6 +3,7 @@ Tests for VertexAIFilesConfig transformation methods (Issues 5-7). """ import urllib.parse +from types import MappingProxyType from urllib.parse import parse_qs, urlparse import httpx @@ -85,6 +86,31 @@ class TestParseGcsUri: assert bucket == "my-bucket" assert encoded == urllib.parse.quote("private/object.txt", safe="") + def test_should_allow_legacy_object_path_with_trusted_server_flag(self, config): + trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True}) + bucket, encoded = config._parse_gcs_uri( + "gs://my-bucket/private/object.txt", + litellm_params={ + "bucket_name": "my-bucket", + "_litellm_internal_model_credentials": trusted_credentials, + }, + ) + + assert bucket == "my-bucket" + assert encoded == urllib.parse.quote("private/object.txt", safe="") + + def test_should_reject_user_supplied_legacy_flag_snapshot(self, config): + with pytest.raises(ValueError, match="LiteLLM-managed"): + config._parse_gcs_uri( + "gs://my-bucket/private/object.txt", + litellm_params={ + "bucket_name": "my-bucket", + "_litellm_internal_model_credentials": { + "allow_legacy_cloud_file_ids": True + }, + }, + ) + def test_should_keep_configured_prefix_for_legacy_object_path(self, config): bucket, encoded = config._parse_gcs_uri( "gs://my-bucket/team-a/private/object.txt", From bb8f6fd5e2cb9614922e0aa72d900107367515e6 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 18:24:22 -0700 Subject: [PATCH 073/160] thread trusted params through vertex file content --- litellm/files/main.py | 1 + .../initialize_dynamic_callback_params.py | 4 +--- litellm/llms/vertex_ai/files/handler.py | 14 +++++++++++++- .../files/test_vertex_ai_files_handler.py | 16 ++++++++++++++++ 4 files changed, 31 insertions(+), 4 deletions(-) diff --git a/litellm/files/main.py b/litellm/files/main.py index 65802be683f..669d50dde41 100644 --- a/litellm/files/main.py +++ b/litellm/files/main.py @@ -1016,6 +1016,7 @@ def file_content( vertex_location=vertex_ai_location, timeout=timeout, max_retries=optional_params.max_retries, + litellm_params=litellm_params_dict, ) elif custom_llm_provider == "bedrock": response = bedrock_files_instance.file_content( diff --git a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py index f7e3470bab2..a89dae52316 100644 --- a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py +++ b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py @@ -37,8 +37,6 @@ _supported_callback_params = [ "langfuse_secret_key", "langfuse_host", "langfuse_prompt_version", - "gcs_bucket_name", - "gcs_path_service_account", "langsmith_api_key", "langsmith_project", "langsmith_base_url", @@ -69,7 +67,7 @@ def initialize_standard_callback_dynamic_params( """ Initialize the standard callback dynamic params from the kwargs - checks if langfuse_secret_key, gcs_bucket_name in kwargs and sets the corresponding attributes in StandardCallbackDynamicParams + checks supported request callback params in kwargs and sets the corresponding attributes in StandardCallbackDynamicParams """ standard_callback_dynamic_params = StandardCallbackDynamicParams() diff --git a/litellm/llms/vertex_ai/files/handler.py b/litellm/llms/vertex_ai/files/handler.py index 48683ba41ae..1a92d521065 100644 --- a/litellm/llms/vertex_ai/files/handler.py +++ b/litellm/llms/vertex_ai/files/handler.py @@ -11,6 +11,7 @@ from litellm.integrations.gcs_bucket.gcs_bucket_base import ( ) from litellm.litellm_core_utils.cloud_storage_security import ( VERTEX_AI_MANAGED_GCS_PREFIX, + should_allow_legacy_cloud_file_ids, validate_managed_cloud_file_id, ) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client @@ -117,7 +118,10 @@ class VertexAIFilesHandler(GCSBucketBase): ) def _extract_bucket_and_object_from_file_id( - self, file_id: str, configured_bucket_name: str + self, + file_id: str, + configured_bucket_name: str, + litellm_params: Optional[dict] = None, ) -> Tuple[str, str]: """ Validate and extract bucket name and object path from file_id. @@ -134,6 +138,9 @@ class VertexAIFilesHandler(GCSBucketBase): scheme="gs://", configured_bucket_name=configured_bucket_name, allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,), + allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids( + litellm_params + ), ) async def afile_content( @@ -144,6 +151,7 @@ class VertexAIFilesHandler(GCSBucketBase): vertex_location: Optional[str], timeout: Union[float, httpx.Timeout], max_retries: Optional[int], + litellm_params: Optional[dict] = None, ) -> HttpxBinaryResponseContent: """ Download file content from GCS bucket for VertexAI files. @@ -169,6 +177,7 @@ class VertexAIFilesHandler(GCSBucketBase): bucket_name, object_path = self._extract_bucket_and_object_from_file_id( file_id=file_id, configured_bucket_name=gcs_logging_config["bucket_name"], + litellm_params=litellm_params, ) download_kwargs = { @@ -205,6 +214,7 @@ class VertexAIFilesHandler(GCSBucketBase): vertex_location: Optional[str], timeout: Union[float, httpx.Timeout], max_retries: Optional[int], + litellm_params: Optional[dict] = None, ) -> Union[ HttpxBinaryResponseContent, Coroutine[Any, Any, HttpxBinaryResponseContent] ]: @@ -233,6 +243,7 @@ class VertexAIFilesHandler(GCSBucketBase): vertex_location=vertex_location, timeout=timeout, max_retries=max_retries, + litellm_params=litellm_params, ) else: return asyncio.run( @@ -243,5 +254,6 @@ class VertexAIFilesHandler(GCSBucketBase): vertex_location=vertex_location, timeout=timeout, max_retries=max_retries, + litellm_params=litellm_params, ) ) diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py index 2b71e6c18dc..453a0c14bf9 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py @@ -3,6 +3,7 @@ Test Vertex AI files handler functionality """ import asyncio +from types import MappingProxyType import pytest from unittest.mock import AsyncMock, patch @@ -66,6 +67,21 @@ class TestVertexAIFilesHandler: configured_bucket_name="test-bucket", ) + def test_extract_bucket_and_object_from_file_id_allows_trusted_legacy_flag(self): + file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt" + trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True}) + + bucket_name, object_path = self.handler._extract_bucket_and_object_from_file_id( + file_id=file_id, + configured_bucket_name="test-bucket", + litellm_params={ + "_litellm_internal_model_credentials": trusted_credentials, + }, + ) + + assert bucket_name == "test-bucket" + assert object_path == "test-file.txt" + def test_extract_bucket_and_object_from_file_id_rejects_no_gs_prefix(self): """Test extraction when gs:// prefix is missing""" file_id = "test-bucket%2Flitellm-vertex-files%2Ftest-file.txt" From 8791f634def4cfff707ada6ca15af020f5388247 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 18:32:26 -0700 Subject: [PATCH 074/160] trust only server legacy file flag --- .../cloud_storage_security.py | 14 +++++----- .../test_vertex_ai_files_transformation.py | 26 +++++++++---------- 2 files changed, 19 insertions(+), 21 deletions(-) diff --git a/litellm/litellm_core_utils/cloud_storage_security.py b/litellm/litellm_core_utils/cloud_storage_security.py index cdb36933c59..daa3dc60320 100644 --- a/litellm/litellm_core_utils/cloud_storage_security.py +++ b/litellm/litellm_core_utils/cloud_storage_security.py @@ -116,15 +116,13 @@ def should_allow_legacy_cloud_file_ids( ) -> bool: value = None if isinstance(litellm_params, Mapping): - value = litellm_params.get("allow_legacy_cloud_file_ids") - if value is None: - trusted_model_credentials = litellm_params.get( - "_litellm_internal_model_credentials" + trusted_model_credentials = litellm_params.get( + "_litellm_internal_model_credentials" + ) + if isinstance(trusted_model_credentials, _MAPPING_PROXY_TYPE): + value = cast(Mapping[str, Any], trusted_model_credentials).get( + "allow_legacy_cloud_file_ids" ) - if isinstance(trusted_model_credentials, _MAPPING_PROXY_TYPE): - value = cast(Mapping[str, Any], trusted_model_credentials).get( - "allow_legacy_cloud_file_ids" - ) if isinstance(value, bool): return value diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py index 91d5e87371f..a41fafa0e87 100644 --- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py @@ -74,17 +74,15 @@ class TestParseGcsUri: litellm_params={"bucket_name": "my-bucket"}, ) - def test_should_allow_legacy_object_path_when_server_flag_enabled(self, config): - bucket, encoded = config._parse_gcs_uri( - "gs://my-bucket/private/object.txt", - litellm_params={ - "bucket_name": "my-bucket", - "allow_legacy_cloud_file_ids": True, - }, - ) - - assert bucket == "my-bucket" - assert encoded == urllib.parse.quote("private/object.txt", safe="") + def test_should_reject_request_supplied_legacy_flag(self, config): + with pytest.raises(ValueError, match="LiteLLM-managed"): + config._parse_gcs_uri( + "gs://my-bucket/private/object.txt", + litellm_params={ + "bucket_name": "my-bucket", + "allow_legacy_cloud_file_ids": True, + }, + ) def test_should_allow_legacy_object_path_with_trusted_server_flag(self, config): trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True}) @@ -112,11 +110,12 @@ class TestParseGcsUri: ) def test_should_keep_configured_prefix_for_legacy_object_path(self, config): + trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True}) bucket, encoded = config._parse_gcs_uri( "gs://my-bucket/team-a/private/object.txt", litellm_params={ "bucket_name": "my-bucket/team-a", - "allow_legacy_cloud_file_ids": True, + "_litellm_internal_model_credentials": trusted_credentials, }, ) @@ -124,12 +123,13 @@ class TestParseGcsUri: assert encoded == urllib.parse.quote("team-a/private/object.txt", safe="") def test_should_reject_legacy_object_outside_configured_prefix(self, config): + trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True}) with pytest.raises(ValueError, match="configured storage prefix"): config._parse_gcs_uri( "gs://my-bucket/team-b/private/object.txt", litellm_params={ "bucket_name": "my-bucket/team-a", - "allow_legacy_cloud_file_ids": True, + "_litellm_internal_model_credentials": trusted_credentials, }, ) From bef28aa78902f5d119534b79c3ffff0eaa17bdbe Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 19:07:21 -0700 Subject: [PATCH 075/160] chore(proxy): keep public AI hub unauthenticated --- litellm/proxy/_types.py | 5 ++ litellm/proxy/auth/user_api_key_auth.py | 15 ----- .../public_endpoints/public_endpoints.py | 41 +----------- .../proxy_setting_endpoints.py | 7 -- .../proxy/auth/test_user_api_key_auth.py | 30 ++++----- .../public_endpoints/test_public_endpoints.py | 65 +------------------ .../test_proxy_setting_endpoints.py | 37 ----------- 7 files changed, 18 insertions(+), 182 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 273ec695f61..10ffb7403fa 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -618,6 +618,11 @@ class LiteLLMRoutes(enum.Enum): "/config/yaml", "/litellm/.well-known/litellm-ui-config", "/.well-known/litellm-ui-config", + "/public/model_hub", + "/public/model_hub/info", + "/public/agent_hub", + "/public/mcp_hub", + "/public/skill_hub", "/public/litellm_model_cost_map", ] ) diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index da9be3bc46a..4fb82e22540 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -86,16 +86,6 @@ except ImportError as e: user_api_key_service_logger_obj = ServiceLogging() # used for tracking latency on OTEL -_PUBLIC_AI_HUB_ROUTES = frozenset( - { - "/public/model_hub", - "/public/model_hub/info", - "/public/agent_hub", - "/public/mcp_hub", - "/public/skill_hub", - } -) - def _normalize_public_auth_route(route: str) -> str: if route != "/" and route.endswith("/"): @@ -110,11 +100,6 @@ def _route_requires_auth_despite_public( if normalized_route == "/metrics": return litellm.require_auth_for_metrics_endpoint is not False - if normalized_route in _PUBLIC_AI_HUB_ROUTES: - return (general_settings or {}).get( - "require_auth_for_public_ai_hub", True - ) is True - return False diff --git a/litellm/proxy/public_endpoints/public_endpoints.py b/litellm/proxy/public_endpoints/public_endpoints.py index 827a59b2e07..7d9da543c75 100644 --- a/litellm/proxy/public_endpoints/public_endpoints.py +++ b/litellm/proxy/public_endpoints/public_endpoints.py @@ -5,7 +5,7 @@ from importlib.resources import files from typing import Any, Dict, List, Optional import litellm -from fastapi import APIRouter, Depends, HTTPException, Request +from fastapi import APIRouter, HTTPException from litellm._logging import verbose_logger from litellm.litellm_core_utils.get_blog_posts import ( @@ -16,11 +16,7 @@ from litellm.litellm_core_utils.get_blog_posts import ( ) from litellm.proxy._types import ( CommonProxyErrors, - LitellmUserRoles, - SpecialHeaders, - UserAPIKeyAuth, ) -from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.types.agents import AgentCard from litellm.types.mcp import MCPPublicServer from litellm.types.proxy.management_endpoints.model_management_endpoints import ( @@ -37,36 +33,6 @@ from litellm.types.utils import LlmProviders router = APIRouter() -async def public_ai_hub_auth_dependency(request: Request) -> UserAPIKeyAuth: - from litellm.proxy.proxy_server import general_settings - - if (general_settings or {}).get("require_auth_for_public_ai_hub", True) is True: - return await user_api_key_auth( - request=request, - api_key=request.headers.get(SpecialHeaders.openai_authorization.value) - or "", - azure_api_key_header=request.headers.get( - SpecialHeaders.azure_authorization.value - ) - or "", - anthropic_api_key_header=request.headers.get( - SpecialHeaders.anthropic_authorization.value - ), - google_ai_studio_api_key_header=request.headers.get( - SpecialHeaders.google_ai_studio_authorization.value - ), - azure_apim_header=request.headers.get( - SpecialHeaders.azure_apim_authorization.value - ) - or "", - custom_litellm_key_header=request.headers.get( - SpecialHeaders.custom_litellm_api_key.value - ), - ) - - return UserAPIKeyAuth(user_role=LitellmUserRoles.INTERNAL_USER_VIEW_ONLY) - - # --------------------------------------------------------------------------- # /public/endpoints — helpers # --------------------------------------------------------------------------- @@ -189,7 +155,6 @@ def _load_endpoints() -> List[Dict[str, Any]]: @router.get( "/public/model_hub", tags=["public", "model management"], - dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=List[ModelGroupInfoProxy], ) async def public_model_hub(): @@ -244,7 +209,6 @@ async def public_model_hub(): @router.get( "/public/agent_hub", tags=["[beta] Agents", "public"], - dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=List[AgentCard], ) async def get_agents(): @@ -266,7 +230,6 @@ async def get_agents(): @router.get( "/public/mcp_hub", tags=["[beta] MCP", "public"], - dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=List[MCPPublicServer], ) async def get_mcp_servers(): @@ -286,7 +249,6 @@ async def get_mcp_servers(): @router.get( "/public/skill_hub", tags=["public", "Claude Code Marketplace"], - dependencies=[Depends(public_ai_hub_auth_dependency)], ) async def public_skill_hub(): """Return enabled (public) Claude Code skills — no auth required.""" @@ -333,7 +295,6 @@ async def public_skill_hub(): @router.get( "/public/model_hub/info", tags=["public", "model management"], - dependencies=[Depends(public_ai_hub_auth_dependency)], response_model=PublicModelHubInfo, ) async def public_model_hub_info(): diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index a5cf52b071e..a7efe97157c 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -94,11 +94,6 @@ class UISettings(BaseModel): description="List of page keys that internal users (non-admins) can see in the UI sidebar. If not set, all pages are visible based on role permissions.", ) - require_auth_for_public_ai_hub: bool = Field( - default=True, - description="If true, requires authentication for accessing the public AI Hub.", - ) - allow_public_health_readiness_details: bool = Field( default=False, description="If true, returns the legacy detailed payload from the unauthenticated /health/readiness endpoint.", @@ -173,7 +168,6 @@ ALLOWED_UI_SETTINGS_FIELDS = { "disable_model_add_for_internal_users", "disable_team_admin_delete_team_user", "enabled_ui_pages_internal_users", - "require_auth_for_public_ai_hub", "allow_public_health_readiness_details", "forward_client_headers_to_llm_api", "forward_llm_provider_auth_headers", @@ -189,7 +183,6 @@ ALLOWED_UI_SETTINGS_FIELDS = { # Flags that must be synced from the persisted UISettings into # general_settings at runtime (on both read and write). _RUNTIME_GENERAL_SETTINGS_FLAGS = [ - "require_auth_for_public_ai_hub", "allow_public_health_readiness_details", "forward_client_headers_to_llm_api", "forward_llm_provider_auth_headers", diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index 0cce501a151..3f28191bceb 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -15,6 +15,7 @@ import litellm import litellm.proxy.proxy_server from litellm.caching.dual_cache import DualCache from litellm.proxy._types import ( + LiteLLMRoutes, LiteLLM_JWTAuth, LiteLLM_UserTable, LitellmUserRoles, @@ -62,25 +63,16 @@ def test_route_requires_auth_despite_public_for_metrics(monkeypatch): assert _route_requires_auth_despite_public("/metrics", {}) is False -def test_route_requires_auth_despite_public_for_public_ai_hub(): - settings = {"require_auth_for_public_ai_hub": True} - - assert _route_requires_auth_despite_public("/public/model_hub", {}) is True - assert _route_requires_auth_despite_public("/public/model_hub", settings) is True - assert _route_requires_auth_despite_public("/public/model_hub/", settings) is True - assert ( - _route_requires_auth_despite_public("/public/model_hub/info", settings) is True - ) - assert _route_requires_auth_despite_public("/public/agent_hub", settings) is True - assert _route_requires_auth_despite_public("/public/mcp_hub", settings) is True - assert _route_requires_auth_despite_public("/public/skill_hub", settings) is True - - assert ( - _route_requires_auth_despite_public( - "/public/model_hub", {"require_auth_for_public_ai_hub": False} - ) - is False - ) +def test_public_ai_hub_routes_remain_public(): + for route in ( + "/public/model_hub", + "/public/model_hub/info", + "/public/agent_hub", + "/public/mcp_hub", + "/public/skill_hub", + ): + assert route in LiteLLMRoutes.public_routes.value + assert _route_requires_auth_despite_public(route, {}) is False @pytest.mark.asyncio diff --git a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py index f39e39c5650..f82da59899b 100644 --- a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py +++ b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py @@ -9,15 +9,9 @@ sys.path.insert(0, os.path.abspath("../../..")) from fastapi import FastAPI from fastapi.testclient import TestClient -from starlette.datastructures import URL -from starlette.requests import Request -from litellm.proxy._types import LitellmUserRoles, ProxyException from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.public_endpoints import router -from litellm.proxy.public_endpoints.public_endpoints import ( - public_ai_hub_auth_dependency, -) from litellm.types.proxy.management_endpoints.model_management_endpoints import ( ModelGroupInfoProxy, ) @@ -97,7 +91,7 @@ def test_get_litellm_model_cost_map_returns_cost_map(): ) -def test_public_ai_hub_info_requires_auth_by_default(monkeypatch): +def test_public_ai_hub_info_is_public_by_default(monkeypatch): app = FastAPI() app.include_router(router) client = TestClient(app) @@ -105,68 +99,11 @@ def test_public_ai_hub_info_requires_auth_by_default(monkeypatch): monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {}) monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") - with pytest.raises(ProxyException): - client.get("/public/model_hub/info") - - -def test_public_ai_hub_info_can_be_explicitly_public(monkeypatch): - app = FastAPI() - app.include_router(router) - client = TestClient(app) - - monkeypatch.setattr( - "litellm.proxy.proxy_server.general_settings", - {"require_auth_for_public_ai_hub": False}, - ) - monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") - response = client.get("/public/model_hub/info") assert response.status_code == 200, response.text -@pytest.mark.asyncio -async def test_public_ai_hub_info_requires_auth_by_default_dependency(monkeypatch): - monkeypatch.setattr( - "litellm.proxy.proxy_server.general_settings", - {}, - ) - monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master") - request = Request( - scope={ - "type": "http", - "method": "GET", - "path": "/public/model_hub/info", - "headers": [], - } - ) - request._url = URL(url="/public/model_hub/info") - - with pytest.raises(ProxyException): - await public_ai_hub_auth_dependency(request) - - -@pytest.mark.asyncio -async def test_public_ai_hub_info_skips_auth_when_explicitly_disabled(monkeypatch): - monkeypatch.setattr( - "litellm.proxy.proxy_server.general_settings", - {"require_auth_for_public_ai_hub": False}, - ) - request = Request( - scope={ - "type": "http", - "method": "GET", - "path": "/public/model_hub/info", - "headers": [], - } - ) - request._url = URL(url="/public/model_hub/info") - - auth = await public_ai_hub_auth_dependency(request) - - assert auth.user_role == LitellmUserRoles.INTERNAL_USER_VIEW_ONLY - - def test_watsonx_provider_fields(): """Test that Watsonx provider has all required credential fields including multiple auth options.""" app = FastAPI() diff --git a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py index 256782c714f..8e67c7e87e2 100644 --- a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py +++ b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py @@ -1147,43 +1147,6 @@ class TestProxySettingEndpoints: assert response.status_code == 200 assert general_settings.get("forward_llm_provider_auth_headers") is True - def test_update_ui_settings_syncs_public_ai_hub_auth_to_general_settings( - self, mock_auth, monkeypatch - ): - """Public AI Hub auth flag must be synced so public-route auth checks see it.""" - from unittest.mock import AsyncMock, MagicMock - - from litellm.proxy._types import UserAPIKeyAuth - from litellm.proxy.auth.user_api_key_auth import user_api_key_auth - - mock_user_auth = UserAPIKeyAuth( - user_id="test-user-123", - user_role=LitellmUserRoles.PROXY_ADMIN, - ) - app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth - - monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", True) - - general_settings: dict = {} - monkeypatch.setattr( - "litellm.proxy.proxy_server.general_settings", general_settings - ) - - mock_prisma = MagicMock() - mock_prisma.db.litellm_uisettings.upsert = AsyncMock() - mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(return_value=None) - monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) - - payload = {"require_auth_for_public_ai_hub": True} - - try: - response = client.patch("/update/ui_settings", json=payload) - finally: - app.dependency_overrides.clear() - - assert response.status_code == 200 - assert general_settings.get("require_auth_for_public_ai_hub") is True - def test_update_ui_settings_syncs_public_health_readiness_details_to_general_settings( self, mock_auth, monkeypatch ): From 6536088aff1ac218b1f2b0d2da0b6df0871ce782 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 19:09:37 -0700 Subject: [PATCH 076/160] fix(proxy): preserve low-detail readiness status --- litellm/proxy/health_endpoints/_health_endpoints.py | 13 +++++++++++++ .../proxy/health_endpoints/test_health_endpoints.py | 7 +++---- 2 files changed, 16 insertions(+), 4 deletions(-) diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py index c9859ed25bb..096e23e673d 100644 --- a/litellm/proxy/health_endpoints/_health_endpoints.py +++ b/litellm/proxy/health_endpoints/_health_endpoints.py @@ -1530,6 +1530,17 @@ def _allow_public_health_readiness_details() -> bool: return general_settings.get("allow_public_health_readiness_details") is True +async def _set_public_readiness_status(response: Response) -> None: + from litellm.proxy.proxy_server import prisma_client + + if prisma_client is None: + return + + db_health_status = await _db_health_readiness_check() + if db_health_status["status"] != "connected": + response.status_code = status.HTTP_503_SERVICE_UNAVAILABLE + + @router.get( "/health/readiness", tags=["health"], @@ -1542,6 +1553,8 @@ async def health_readiness(response: Response): """ if _allow_public_health_readiness_details(): return await _get_health_readiness_details(response=response) + + await _set_public_readiness_status(response=response) return {"status": "healthy"} diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py index ae57c02e7c2..2edcb00c967 100644 --- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py +++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py @@ -1520,8 +1520,7 @@ async def test_health_readiness_returns_503_when_db_disconnected(): result = await health_readiness(response=response) assert response.status_code == 503 - assert result["db"] == "disconnected" - assert result["status"] == "healthy" # body shape unchanged for back-compat + assert result == {"status": "healthy"} @pytest.mark.asyncio @@ -1544,7 +1543,7 @@ async def test_health_readiness_returns_200_when_db_connected(): result = await health_readiness(response=response) assert response.status_code == 200 - assert result["db"] == "connected" + assert result == {"status": "healthy"} @pytest.mark.asyncio @@ -1563,7 +1562,7 @@ async def test_health_readiness_returns_200_when_no_db_configured(): result = await health_readiness(response=response) assert response.status_code == 200 - assert result["db"] == "Not connected" + assert result == {"status": "healthy"} def test_clean_endpoint_data_strips_credentials_keeps_routing_fields(): From 001253c47865c5409fedecfdb09efe36d6837178 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sat, 2 May 2026 02:17:46 +0000 Subject: [PATCH 077/160] chore(proxy): move URL-valued model/file_id guard from SDK to proxy The previous per-provider guards in HuggingFace, Oobabooga, and Gemini files lived in the SDK layer, breaking SDK callers who legitimately pass URL-valued model identifiers. Move the check to the proxy boundary in add_litellm_data_to_request so SDK users keep working while proxy users default-deny URL-valued model and file_id, with admin opt-in via litellm.provider_url_destination_allowed_hosts. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/llms/gemini/files/transformation.py | 38 +---- .../llms/huggingface/chat/transformation.py | 13 +- litellm/llms/huggingface/common_utils.py | 30 ---- litellm/llms/huggingface/embedding/handler.py | 28 +--- .../huggingface/embedding/transformation.py | 12 +- litellm/llms/oobabooga/chat/oobabooga.py | 12 +- litellm/llms/oobabooga/common_utils.py | 30 ---- litellm/proxy/litellm_pre_call_utils.py | 43 +++++- .../files/test_gemini_files_transformation.py | 77 ---------- .../test_huggingface_model_url_guard.py | 134 ----------------- .../test_oobabooga_model_url_guard.py | 111 -------------- .../test_provider_url_destination_guard.py | 139 ++++++++++++++++++ 12 files changed, 201 insertions(+), 466 deletions(-) delete mode 100644 tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py delete mode 100644 tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py create mode 100644 tests/test_litellm/proxy/test_provider_url_destination_guard.py diff --git a/litellm/llms/gemini/files/transformation.py b/litellm/llms/gemini/files/transformation.py index 00822da43e1..63a383ebd3d 100644 --- a/litellm/llms/gemini/files/transformation.py +++ b/litellm/llms/gemini/files/transformation.py @@ -12,11 +12,8 @@ import httpx from openai.types.file_deleted import FileDeleted from litellm._logging import verbose_logger +from litellm.litellm_core_utils.url_utils import encode_url_path_segment from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data -from litellm.litellm_core_utils.url_utils import ( - encode_url_path_segment, - is_url_destination_allowed_by_host, -) from litellm.llms.base_llm.files.transformation import ( BaseFilesConfig, LiteLLMLoggingObj, @@ -228,21 +225,20 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): if not api_key: raise ValueError("api_key is required") + file_part = self._normalize_gemini_file_id(file_id) + api_base = ( self.get_api_base(litellm_params.get("api_base")) or "https://generativelanguage.googleapis.com" ) api_base = api_base.rstrip("/") - file_part = self._normalize_gemini_file_id(file_id, api_base=api_base) url = f"{api_base}/v1beta/{file_part}" # API key is passed via x-goog-api-key header (set in validate_environment) return url, {} - def _normalize_gemini_file_id( - self, file_id: str, api_base: Optional[str] = None - ) -> str: + def _normalize_gemini_file_id(self, file_id: str) -> str: """ Normalize file identifier into `files/{id}` form. @@ -253,14 +249,6 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): """ if file_id.startswith(("http://", "https://")): parsed = urlparse(file_id) - if ( - parsed.username is not None - or parsed.password is not None - or not self._is_allowed_gemini_file_url( - file_url=file_id, api_base=api_base - ) - ): - raise ValueError("Invalid Gemini file URL") path = parsed.path.lstrip("/") files_index = path.find("files/") if files_index != -1: @@ -280,20 +268,6 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): return f"files/{encoded_file_id}" - @staticmethod - def _is_allowed_gemini_file_url( - file_url: str, api_base: Optional[str] = None - ) -> bool: - import litellm - - allowed_hosts: List[str] = [] - if api_base: - allowed_hosts.append(api_base) - allowed_hosts.extend( - getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] - ) - return is_url_destination_allowed_by_host(file_url, allowed_hosts) - def transform_retrieve_file_response( self, raw_response: httpx.Response, @@ -368,8 +342,8 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig): if not api_key: raise ValueError("api_key is required") - api_base = api_base.rstrip("/") - file_name = self._normalize_gemini_file_id(file_id, api_base=api_base) + # Normalize and encode the file name before interpolating it into the URL. + file_name = self._normalize_gemini_file_id(file_id) # Construct the delete URL url = f"{api_base}/v1beta/{file_name}" diff --git a/litellm/llms/huggingface/chat/transformation.py b/litellm/llms/huggingface/chat/transformation.py index d138ade51ed..557aa48550b 100644 --- a/litellm/llms/huggingface/chat/transformation.py +++ b/litellm/llms/huggingface/chat/transformation.py @@ -16,12 +16,7 @@ else: from litellm.llms.base_llm.chat.transformation import BaseLLMException from ...openai.chat.gpt_transformation import OpenAIGPTConfig -from ..common_utils import ( - HuggingFaceError, - _fetch_inference_provider_mapping, - is_url_model_destination, - validate_huggingface_model_identifier, -) +from ..common_utils import HuggingFaceError, _fetch_inference_provider_mapping logger = logging.getLogger(__name__) @@ -81,8 +76,7 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): Do not add the chat/embedding/rerank extension here. Let the handler do this. """ - validate_huggingface_model_identifier(model) - if is_url_model_destination(model): + if model.startswith(("http://", "https://")): base_url = model elif base_url is None: base_url = os.getenv("HF_API_BASE") or os.getenv("HUGGINGFACE_API_BASE", "") @@ -101,7 +95,6 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): Get the complete URL for the API call. For provider-specific routing through huggingface """ - validate_huggingface_model_identifier(model) # Check if api_base is provided if api_base is not None: complete_url = api_base @@ -110,7 +103,7 @@ class HuggingFaceChatConfig(OpenAIGPTConfig): complete_url = str(os.getenv("HF_API_BASE")) or str( os.getenv("HUGGINGFACE_API_BASE") ) - elif is_url_model_destination(model): + elif model.startswith(("http://", "https://")): complete_url = model complete_url = _build_chat_completion_url(complete_url) # Default construction with provider diff --git a/litellm/llms/huggingface/common_utils.py b/litellm/llms/huggingface/common_utils.py index 9a8c4895c99..9ab4367c9b3 100644 --- a/litellm/llms/huggingface/common_utils.py +++ b/litellm/llms/huggingface/common_utils.py @@ -4,41 +4,11 @@ from typing import Literal, Optional, Union import httpx -from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host from litellm.llms.base_llm.chat.transformation import BaseLLMException HF_HUB_URL = "https://huggingface.co" -def is_url_model_destination(model: str) -> bool: - return model.startswith(("http://", "https://")) - - -def _is_url_model_destination_allowed(model: str) -> bool: - import litellm - - allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] - return is_url_destination_allowed_by_host(model, allowed_hosts) - - -def validate_huggingface_model_identifier(model: str) -> None: - """Reject URL-valued model identifiers before provider credentials are added.""" - if "://" not in model: - return - if is_url_model_destination(model) and _is_url_model_destination_allowed(model): - return - raise HuggingFaceError( - status_code=400, - message=( - "Invalid Hugging Face model identifier. Configure custom endpoints with " - "api_base or HF_API_BASE/HUGGINGFACE_API_BASE instead of passing a URL " - "as the model. To keep legacy URL-valued models for trusted endpoints, " - "add the destination host or origin to " - "`provider_url_destination_allowed_hosts` in litellm_settings." - ), - ) - - class HuggingFaceError(BaseLLMException): def __init__( self, diff --git a/litellm/llms/huggingface/embedding/handler.py b/litellm/llms/huggingface/embedding/handler.py index 2f7232a726f..226f6b2ebad 100644 --- a/litellm/llms/huggingface/embedding/handler.py +++ b/litellm/llms/huggingface/embedding/handler.py @@ -14,11 +14,7 @@ from litellm.llms.custom_httpx.http_handler import ( from litellm.types.utils import EmbeddingResponse from ...base import BaseLLM -from ..common_utils import ( - HuggingFaceError, - is_url_model_destination, - validate_huggingface_model_identifier, -) +from ..common_utils import HuggingFaceError from .transformation import HuggingFaceEmbeddingConfig config = HuggingFaceEmbeddingConfig() @@ -158,8 +154,6 @@ class HuggingFaceEmbedding(BaseLLM): embed_url: str, ) -> dict: data: Dict = {} - validate_huggingface_model_identifier(model) - model_uses_url_destination = is_url_model_destination(model) ## TRANSFORMATION ## if "sentence-transformers" in model: @@ -175,12 +169,8 @@ class HuggingFaceEmbedding(BaseLLM): task_type = optional_params.pop("input_type", None) if call_type == "sync": - hf_task = ( - task_type - if model_uses_url_destination - else get_hf_task_embedding_for_model( - model=model, task_type=task_type, api_base=HF_HUB_URL - ) + hf_task = get_hf_task_embedding_for_model( + model=model, task_type=task_type, api_base=HF_HUB_URL ) elif call_type == "async": return self._async_transform_input( @@ -344,7 +334,6 @@ class HuggingFaceEmbedding(BaseLLM): headers={}, ) -> EmbeddingResponse: super().embedding() - validate_huggingface_model_identifier(model) headers = config.validate_environment( api_key=api_key, headers=headers, @@ -354,17 +343,12 @@ class HuggingFaceEmbedding(BaseLLM): litellm_params=litellm_params, ) task_type = optional_params.get("input_type", None) - model_uses_url_destination = is_url_model_destination(model) - task = ( - task_type - if model_uses_url_destination - else get_hf_task_embedding_for_model( - model=model, task_type=task_type, api_base=HF_HUB_URL - ) + task = get_hf_task_embedding_for_model( + model=model, task_type=task_type, api_base=HF_HUB_URL ) # print_verbose(f"{model}, {task}") embed_url = "" - if model_uses_url_destination: + if "https" in model: embed_url = model elif api_base: embed_url = api_base diff --git a/litellm/llms/huggingface/embedding/transformation.py b/litellm/llms/huggingface/embedding/transformation.py index ce8319e82df..88d42cfcdcc 100644 --- a/litellm/llms/huggingface/embedding/transformation.py +++ b/litellm/llms/huggingface/embedding/transformation.py @@ -21,14 +21,7 @@ from litellm.types.llms.openai import AllMessageValues from litellm.types.utils import Choices, Message, ModelResponse, Usage from litellm.utils import token_counter -from ..common_utils import ( - HuggingFaceError, - hf_task_list, - hf_tasks, - is_url_model_destination, - output_parser, - validate_huggingface_model_identifier, -) +from ..common_utils import HuggingFaceError, hf_task_list, hf_tasks, output_parser if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj @@ -343,8 +336,7 @@ class HuggingFaceEmbeddingConfig(BaseConfig): Do not add the chat/embedding/rerank extension here. Let the handler do this. """ - validate_huggingface_model_identifier(model) - if is_url_model_destination(model): + if "https" in model: completion_url = model elif api_base is not None: completion_url = api_base diff --git a/litellm/llms/oobabooga/chat/oobabooga.py b/litellm/llms/oobabooga/chat/oobabooga.py index 090ee11d1a4..5eb68a03d4b 100644 --- a/litellm/llms/oobabooga/chat/oobabooga.py +++ b/litellm/llms/oobabooga/chat/oobabooga.py @@ -5,11 +5,7 @@ import litellm from litellm.llms.custom_httpx.http_handler import _get_httpx_client from litellm.utils import EmbeddingResponse, ModelResponse, Usage -from ..common_utils import ( - OobaboogaError, - is_url_model_destination, - validate_oobabooga_model_identifier, -) +from ..common_utils import OobaboogaError from .transformation import OobaboogaConfig oobabooga_config = OobaboogaConfig() @@ -30,7 +26,6 @@ def completion( logger_fn=None, default_max_tokens_to_sample=None, ): - validate_oobabooga_model_identifier(model) headers = oobabooga_config.validate_environment( api_key=api_key, headers={}, @@ -39,7 +34,7 @@ def completion( optional_params=optional_params, litellm_params=litellm_params, ) - if is_url_model_destination(model): + if "https" in model: completion_url = model elif api_base: completion_url = api_base @@ -101,8 +96,7 @@ def embedding( encoding=None, ): # Create completion URL - validate_oobabooga_model_identifier(model) - if is_url_model_destination(model): + if "https" in model: embeddings_url = model elif api_base: embeddings_url = f"{api_base}/v1/embeddings" diff --git a/litellm/llms/oobabooga/common_utils.py b/litellm/llms/oobabooga/common_utils.py index 6c863ea5558..82f8cda9511 100644 --- a/litellm/llms/oobabooga/common_utils.py +++ b/litellm/llms/oobabooga/common_utils.py @@ -2,7 +2,6 @@ from typing import Optional, Union import httpx -from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host from litellm.llms.base_llm.chat.transformation import BaseLLMException @@ -14,32 +13,3 @@ class OobaboogaError(BaseLLMException): headers: Optional[Union[dict, httpx.Headers]] = None, ): super().__init__(status_code=status_code, message=message, headers=headers) - - -def is_url_model_destination(model: str) -> bool: - return model.startswith(("http://", "https://")) - - -def _is_url_model_destination_allowed(model: str) -> bool: - import litellm - - allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] - return is_url_destination_allowed_by_host(model, allowed_hosts) - - -def validate_oobabooga_model_identifier(model: str) -> None: - """Oobabooga endpoints must be configured with api_base, not model URLs.""" - if "://" not in model: - return - if is_url_model_destination(model) and _is_url_model_destination_allowed(model): - return - raise OobaboogaError( - status_code=400, - message=( - "Invalid Oobabooga model identifier. Configure the endpoint with " - "api_base instead of passing a URL as the model. To keep legacy " - "URL-valued models for trusted endpoints, add the destination host " - "or origin to `provider_url_destination_allowed_hosts` in " - "litellm_settings." - ), - ) diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 3077efe1167..52bdb95fad7 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -5,7 +5,7 @@ import time from collections import OrderedDict from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union -from fastapi import Request +from fastapi import HTTPException, Request from pydantic import ValidationError as PydanticValidationError from starlette.datastructures import Headers @@ -14,6 +14,7 @@ from litellm._logging import verbose_logger, verbose_proxy_logger from litellm._service_logger import ServiceLogging from litellm.litellm_core_utils.credential_accessor import CredentialAccessor from litellm.litellm_core_utils.safe_json_loads import safe_json_loads +from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host from litellm.proxy._types import ( AddTeamCallback, CommonProxyErrors, @@ -154,6 +155,45 @@ _ALLOW_CLIENT_MESSAGE_REDACTION_OPT_OUT_METADATA_KEY = ( "allow_client_message_redaction_opt_out" ) +# Request fields whose value, when URL-valued, becomes the outbound destination +# for a provider call. Letting a proxy caller pin the destination is an SSRF +# primitive (HuggingFace/Oobabooga `model`, Gemini files `file_id`); guard +# them centrally so SDK users keep working but proxy users default-deny. +_URL_DESTINATION_REQUEST_FIELDS = ("model", "file_id") + + +def _reject_url_valued_destinations(data: Dict[str, Any]) -> None: + """Reject URL-valued ``model``/``file_id`` unless admin-allowlisted. + + Some providers (HuggingFace, Oobabooga, Gemini files) accept a URL in the + identifier field and use it as the outbound destination. On the proxy that + is an SSRF primitive — a low-privilege caller can point traffic at any + host the proxy can reach, including internal services. Reject here at the + proxy boundary so SDK users (who legitimately pass URL-valued identifiers) + are unaffected, while admins can opt specific hosts back in via + ``litellm.provider_url_destination_allowed_hosts``. + """ + allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] + for field in _URL_DESTINATION_REQUEST_FIELDS: + value = data.get(field) + if not isinstance(value, str) or not value.startswith(("http://", "https://")): + continue + if is_url_destination_allowed_by_host(value, allowed_hosts): + continue + raise HTTPException( + status_code=400, + detail={ + "error": "invalid_request", + "param": field, + "message": ( + f"URL-valued '{field}' is not allowed. Configure custom " + "endpoints with api_base instead, or add the destination " + "host to `provider_url_destination_allowed_hosts` in " + "litellm_settings." + ), + }, + ) + def _strip_untrusted_request_header_controls( headers: Any, @@ -1105,6 +1145,7 @@ async def add_litellm_data_to_request( # noqa: PLR0915 if _allow_client_mock_response and _internal_key in _CLIENT_MOCK_CONTROL_FIELDS: continue data.pop(_internal_key, None) + _reject_url_valued_destinations(data) # Strip spoofable auth metadata from user-supplied metadata dict _user_metadata = data.get("metadata") if isinstance(_user_metadata, dict): diff --git a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py index 33fe5d24d77..a2f95724688 100644 --- a/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py +++ b/tests/test_litellm/llms/gemini/files/test_gemini_files_transformation.py @@ -7,7 +7,6 @@ from unittest.mock import Mock, patch import httpx import pytest -import litellm from litellm.llms.gemini.files.transformation import GoogleAIStudioFilesHandler from litellm.types.llms.openai import OpenAIFileObject @@ -93,54 +92,6 @@ class TestGoogleAIStudioFilesTransformation: assert "key=" not in url assert params == {} - def test_transform_retrieve_file_request_rejects_untrusted_full_url(self): - file_id = "https://attacker.example/v1beta/files/test123" - litellm_params = {"api_key": "test-api-key"} - - with pytest.raises(ValueError, match="Invalid Gemini file URL"): - self.handler.transform_retrieve_file_request( - file_id=file_id, - optional_params={}, - litellm_params=litellm_params, - ) - - def test_transform_retrieve_file_request_allows_full_url_matching_api_base(self): - file_id = "https://custom-gemini.example/v1beta/files/test123" - litellm_params = { - "api_key": "test-api-key", - "api_base": "https://custom-gemini.example", - } - - url, params = self.handler.transform_retrieve_file_request( - file_id=file_id, - optional_params={}, - litellm_params=litellm_params, - ) - - assert url == "https://custom-gemini.example/v1beta/files/test123" - assert params == {} - - def test_transform_retrieve_file_request_allows_full_url_when_host_allowlisted( - self, - monkeypatch, - ): - monkeypatch.setattr( - litellm, - "provider_url_destination_allowed_hosts", - ["trusted-gemini.example"], - ) - file_id = "https://trusted-gemini.example/v1beta/files/test123" - litellm_params = {"api_key": "test-api-key"} - - url, params = self.handler.transform_retrieve_file_request( - file_id=file_id, - optional_params={}, - litellm_params=litellm_params, - ) - - assert url == "https://generativelanguage.googleapis.com/v1beta/files/test123" - assert params == {} - def test_transform_retrieve_file_request_encodes_file_id_path_segment(self): file_id = "files/../../models/gemini-pro?x=1#frag" litellm_params = {"api_key": "test-api-key"} @@ -393,34 +344,6 @@ class TestGoogleAIStudioFilesTransformation: assert "generativelanguage.googleapis.com" in url assert params == {} - def test_transform_delete_file_request_rejects_untrusted_full_url(self): - litellm_params = { - "api_key": "test-api-key", - "api_base": "https://generativelanguage.googleapis.com", - } - - with pytest.raises(ValueError, match="Invalid Gemini file URL"): - self.handler.transform_delete_file_request( - file_id="https://attacker.example/v1beta/files/test123", - optional_params={}, - litellm_params=litellm_params, - ) - - def test_transform_delete_file_request_allows_full_url_matching_api_base(self): - litellm_params = { - "api_key": "test-api-key", - "api_base": "https://custom-gemini.example", - } - - url, params = self.handler.transform_delete_file_request( - file_id="https://custom-gemini.example/v1beta/files/test123", - optional_params={}, - litellm_params=litellm_params, - ) - - assert url == "https://custom-gemini.example/v1beta/files/test123" - assert params == {} - def test_transform_delete_file_request_encodes_file_id_path_segment(self): file_id = "files/../../models/gemini-pro?x=1#frag" litellm_params = { diff --git a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py b/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py deleted file mode 100644 index 27e3b855def..00000000000 --- a/tests/test_litellm/llms/huggingface/test_huggingface_model_url_guard.py +++ /dev/null @@ -1,134 +0,0 @@ -from unittest.mock import MagicMock, patch - -import pytest - -import litellm -from litellm.llms.huggingface.chat.transformation import HuggingFaceChatConfig -from litellm.llms.huggingface.common_utils import HuggingFaceError -from litellm.llms.huggingface.embedding.handler import HuggingFaceEmbedding -from litellm.llms.huggingface.embedding.transformation import ( - HuggingFaceEmbeddingConfig, -) - - -def test_huggingface_chat_rejects_url_valued_model(): - config = HuggingFaceChatConfig() - - with pytest.raises(HuggingFaceError) as exc_info: - config.get_complete_url( - api_base=None, - api_key="hf-secret", - model="https://attacker.example/v1", - optional_params={}, - litellm_params={}, - ) - - assert exc_info.value.status_code == 400 - - -def test_huggingface_chat_allows_legacy_url_model_when_host_is_allowlisted( - monkeypatch, -): - monkeypatch.setattr( - litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] - ) - config = HuggingFaceChatConfig() - - complete_url = config.get_complete_url( - api_base=None, - api_key="hf-secret", - model="https://trusted.example", - optional_params={}, - litellm_params={}, - ) - - assert complete_url == "https://trusted.example/v1/chat/completions" - - -def test_huggingface_chat_rejects_url_model_when_host_is_not_allowlisted( - monkeypatch, -): - monkeypatch.setattr( - litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] - ) - config = HuggingFaceChatConfig() - - with pytest.raises(HuggingFaceError) as exc_info: - config.get_complete_url( - api_base=None, - api_key="hf-secret", - model="https://other.example", - optional_params={}, - litellm_params={}, - ) - - assert exc_info.value.status_code == 400 - - -def test_huggingface_chat_keeps_explicit_api_base_for_custom_endpoints(): - config = HuggingFaceChatConfig() - - complete_url = config.get_complete_url( - api_base="https://admin-configured.example", - api_key="hf-secret", - model="huggingface/mistral", - optional_params={}, - litellm_params={}, - ) - - assert complete_url == "https://admin-configured.example/v1/chat/completions" - - -def test_huggingface_embedding_config_rejects_url_valued_model(): - config = HuggingFaceEmbeddingConfig() - - with pytest.raises(HuggingFaceError) as exc_info: - config.get_api_base( - api_base=None, - model="prefixhttps://attacker.example/embeddings", - ) - - assert exc_info.value.status_code == 400 - - -def test_huggingface_embedding_config_allows_legacy_url_model_when_origin_is_allowlisted( - monkeypatch, -): - monkeypatch.setattr( - litellm, - "provider_url_destination_allowed_hosts", - ["https://trusted.example"], - ) - config = HuggingFaceEmbeddingConfig() - - api_base = config.get_api_base( - api_base=None, - model="https://trusted.example/embeddings", - ) - - assert api_base == "https://trusted.example/embeddings" - - -def test_huggingface_embedding_handler_rejects_before_task_lookup(): - handler = HuggingFaceEmbedding() - logging_obj = MagicMock() - encoding = MagicMock() - encoding.encode.return_value = [] - - with patch( - "litellm.llms.huggingface.embedding.handler.get_hf_task_embedding_for_model" - ) as mock_task_lookup: - with pytest.raises(HuggingFaceError) as exc_info: - handler.embedding( - model="https://attacker.example/embeddings", - input=["hello"], - model_response=MagicMock(), - optional_params={}, - litellm_params={}, - logging_obj=logging_obj, - encoding=encoding, - api_key="hf-secret", - ) - - assert exc_info.value.status_code == 400 - mock_task_lookup.assert_not_called() diff --git a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py b/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py deleted file mode 100644 index 5ed0cdca033..00000000000 --- a/tests/test_litellm/llms/oobabooga/test_oobabooga_model_url_guard.py +++ /dev/null @@ -1,111 +0,0 @@ -from unittest.mock import MagicMock, patch - -import pytest - -import litellm -from litellm.llms.oobabooga.chat.oobabooga import completion, embedding -from litellm.llms.oobabooga.common_utils import OobaboogaError - - -def test_oobabooga_completion_rejects_url_valued_model_before_request(): - with patch("litellm.llms.oobabooga.chat.oobabooga._get_httpx_client") as mock_get: - with pytest.raises(OobaboogaError) as exc_info: - completion( - model="https://attacker.example/v1", - messages=[], - api_base="https://admin-configured.example", - model_response=MagicMock(), - print_verbose=MagicMock(), - encoding=MagicMock(), - api_key="ooba-secret", - logging_obj=MagicMock(), - optional_params={}, - litellm_params={}, - ) - - assert exc_info.value.status_code == 400 - mock_get.assert_not_called() - - -def test_oobabooga_completion_allows_legacy_url_model_when_host_is_allowlisted( - monkeypatch, -): - monkeypatch.setattr( - litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] - ) - response = MagicMock() - client = MagicMock() - client.post.return_value = response - - with patch( - "litellm.llms.oobabooga.chat.oobabooga._get_httpx_client", - return_value=client, - ): - with patch( - "litellm.llms.oobabooga.chat.oobabooga.oobabooga_config.transform_response", - return_value="ok", - ): - result = completion( - model="https://trusted.example", - messages=[], - api_base=None, - model_response=MagicMock(), - print_verbose=MagicMock(), - encoding=MagicMock(), - api_key="ooba-secret", - logging_obj=MagicMock(), - optional_params={}, - litellm_params={}, - ) - - assert result == "ok" - client.post.assert_called_once() - assert ( - client.post.call_args.args[0] == "https://trusted.example/v1/chat/completions" - ) - - -def test_oobabooga_completion_rejects_url_model_when_host_is_not_allowlisted( - monkeypatch, -): - monkeypatch.setattr( - litellm, "provider_url_destination_allowed_hosts", ["trusted.example"] - ) - - with patch("litellm.llms.oobabooga.chat.oobabooga._get_httpx_client") as mock_get: - with pytest.raises(OobaboogaError) as exc_info: - completion( - model="https://other.example", - messages=[], - api_base=None, - model_response=MagicMock(), - print_verbose=MagicMock(), - encoding=MagicMock(), - api_key="ooba-secret", - logging_obj=MagicMock(), - optional_params={}, - litellm_params={}, - ) - - assert exc_info.value.status_code == 400 - mock_get.assert_not_called() - - -def test_oobabooga_embedding_rejects_url_valued_model_before_request(): - with patch( - "litellm.llms.oobabooga.chat.oobabooga.litellm.module_level_client.post" - ) as mock_post: - with pytest.raises(OobaboogaError) as exc_info: - embedding( - model="prefixhttps://attacker.example/embeddings", - input=["hello"], - model_response=MagicMock(), - api_key="ooba-secret", - api_base="https://admin-configured.example", - logging_obj=MagicMock(), - optional_params={}, - encoding=MagicMock(), - ) - - assert exc_info.value.status_code == 400 - mock_post.assert_not_called() diff --git a/tests/test_litellm/proxy/test_provider_url_destination_guard.py b/tests/test_litellm/proxy/test_provider_url_destination_guard.py new file mode 100644 index 00000000000..51cd76105d0 --- /dev/null +++ b/tests/test_litellm/proxy/test_provider_url_destination_guard.py @@ -0,0 +1,139 @@ +"""Proxy-level guard against URL-valued ``model`` / ``file_id`` request fields. + +Some providers (HuggingFace, Oobabooga, Gemini files) accept a URL in the +identifier field and use it as the outbound destination. On the proxy that is +an SSRF primitive — guarded centrally in ``litellm_pre_call_utils`` so SDK +users keep working but proxy users default-deny. +""" + +import os +import sys +from unittest.mock import MagicMock + +import pytest +from fastapi import HTTPException, Request + +import litellm +from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.litellm_pre_call_utils import ( + _reject_url_valued_destinations, + add_litellm_data_to_request, +) + +sys.path.insert(0, os.path.abspath("../../..")) + + +class TestRejectUrlValuedDestinations: + def test_plain_model_passes(self): + _reject_url_valued_destinations({"model": "gpt-4"}) + + def test_plain_file_id_passes(self): + _reject_url_valued_destinations({"file_id": "files/abc123"}) + + def test_no_destination_field_passes(self): + _reject_url_valued_destinations({"messages": [{"role": "user"}]}) + + def test_url_valued_model_rejected(self): + with pytest.raises(HTTPException) as exc_info: + _reject_url_valued_destinations({"model": "https://attacker.example/v1"}) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail["param"] == "model" + + def test_url_valued_file_id_rejected(self): + with pytest.raises(HTTPException) as exc_info: + _reject_url_valued_destinations( + {"file_id": "https://attacker.example/v1beta/files/abc"} + ) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail["param"] == "file_id" + + def test_http_scheme_also_rejected(self): + with pytest.raises(HTTPException): + _reject_url_valued_destinations({"model": "http://10.0.0.1:8080/v1"}) + + def test_non_string_value_ignored(self): + # Defensive: malformed inputs (list, dict, None) shouldn't crash here; + # downstream Pydantic validation handles the type error. + _reject_url_valued_destinations({"model": None}) + _reject_url_valued_destinations({"model": 42}) + _reject_url_valued_destinations({"file_id": ["a", "b"]}) + + def test_allowlisted_host_passes(self, monkeypatch): + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["trusted.example"], + ) + _reject_url_valued_destinations({"model": "https://trusted.example/v1"}) + + def test_allowlisted_origin_rejects_mismatched_scheme(self, monkeypatch): + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["https://trusted.example"], + ) + _reject_url_valued_destinations({"model": "https://trusted.example/v1"}) + with pytest.raises(HTTPException): + _reject_url_valued_destinations({"model": "http://trusted.example/v1"}) + + def test_allowlisted_host_port_rejects_other_ports(self, monkeypatch): + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["trusted.example:8443"], + ) + _reject_url_valued_destinations({"model": "https://trusted.example:8443/v1"}) + with pytest.raises(HTTPException): + _reject_url_valued_destinations({"model": "https://trusted.example/v1"}) + + def test_userinfo_in_url_rejected_even_when_host_allowlisted(self, monkeypatch): + # Embedded credentials in URL are an exfil channel — must never pass. + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["trusted.example"], + ) + with pytest.raises(HTTPException): + _reject_url_valued_destinations( + {"model": "https://user:pass@trusted.example/v1"} + ) + + +def _make_request_mock() -> Request: + request_mock = MagicMock(spec=Request) + request_mock.url.path = "/v1/chat/completions" + request_mock.url = MagicMock() + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = {"Content-Type": "application/json"} + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + return request_mock + + +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_rejects_url_valued_model(): + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + spend=0.0, + max_budget=100.0, + model_max_budget={}, + team_spend=0.0, + team_max_budget=200.0, + ) + data = {"model": "https://attacker.example/v1", "messages": []} + + with pytest.raises(HTTPException) as exc_info: + await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=user_api_key_dict, + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail["param"] == "model" From 6c37e9d8d571a4683ad9e068e6b9c16047515495 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sat, 2 May 2026 02:23:45 +0000 Subject: [PATCH 078/160] fix(proxy): handle ownership-recording failures after upstream create MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit If record_container_owner raises after the upstream container is created, the user previously got a 500 with no usable container — they were billed for an unreachable resource. Move ownership recording into the create path's exception handling and split the two failure modes: - HTTPException from the recorder (auth conflicts) propagates verbatim so the client sees the real status code, not a generic LLM error. - Unexpected exceptions are logged and swallowed; the response is returned to the caller so they aren't billed for a container they can't address. The DB row stays untracked until an operator reconciles. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../proxy/container_endpoints/endpoints.py | 33 +++++++++-- .../test_container_proxy_ownership.py | 59 +++++++++++++++++++ 2 files changed, 86 insertions(+), 6 deletions(-) diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index 089f22a23a5..7e097802632 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -2,9 +2,10 @@ from typing import Any, Dict -from fastapi import APIRouter, Depends, Request, Response +from fastapi import APIRouter, Depends, HTTPException, Request, Response from fastapi.responses import ORJSONResponse +from litellm._logging import verbose_proxy_logger from litellm.proxy._types import * from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth, user_api_key_auth from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing @@ -129,11 +130,31 @@ async def create_container( proxy_logging_obj=proxy_logging_obj, version=version, ) - return await record_container_owner( - response=response, - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, - ) + + # Ownership recording sits between the upstream create and the response + # to the caller. The recorder swallows DB errors internally (falling + # back to in-memory tracking) and only surfaces HTTPException on auth + # conflicts; we let those propagate verbatim so the client sees the + # real status code rather than a generic LLM error wrapper. + try: + return await record_container_owner( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) + except HTTPException: + raise + except Exception as e: + # Unexpected (non-HTTPException) failure after upstream create. + # The container exists upstream but is now untracked — log loudly + # so an operator can reconcile, and return the response so the + # caller does not get charged for a resource they cannot use. + verbose_proxy_logger.exception( + "Container ownership recording failed after upstream create; " + "returning response with untracked ownership: %s", + e, + ) + return response @router.get( diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index b696f8fc48f..13216ad7c59 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -933,6 +933,65 @@ async def test_should_not_route_owner_record_errors_through_llm_error_handler( assert exc.value.status_code == 403 +@pytest.mark.asyncio +async def test_should_return_response_when_owner_recording_raises_unexpected( + monkeypatch, +): + """If record_container_owner raises a non-HTTPException after upstream create, + the upstream container exists but is untracked. The caller still gets the + response (not a 500) so they aren't billed for an unusable resource — an + operator reconciles via logs. + """ + from litellm.proxy.container_endpoints import endpoints + + proxy_server_stub = SimpleNamespace( + general_settings={}, + llm_router=None, + proxy_config=None, + proxy_logging_obj=None, + select_data_generator=None, + user_api_base=None, + user_max_tokens=None, + user_model=None, + user_request_timeout=None, + user_temperature=None, + version="test", + ) + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) + + created = _container("cntr_provider") + + class FakeProcessor: + def __init__(self, data): + pass + + async def base_process_llm_request(self, **kwargs): + return created + + async def _handle_llm_api_exception(self, **kwargs): + raise AssertionError("upstream-create errors only") + + monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor) + monkeypatch.setattr( + endpoints, + "record_container_owner", + AsyncMock(side_effect=RuntimeError("transient db blip")), + ) + + response = await endpoints.create_container( + request=SimpleNamespace( + query_params={}, + headers={}, + json=AsyncMock(return_value={}), + body=AsyncMock(return_value=b"{}"), + ), + fastapi_response=SimpleNamespace(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + ) + + assert response is created + + @pytest.mark.asyncio async def test_should_filter_container_list_inside_list_endpoint(monkeypatch): from litellm.proxy.container_endpoints import endpoints From f909fa79b50d8428e5e4d44fd1a329264655bdc9 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 19:26:40 -0700 Subject: [PATCH 079/160] fix(guardrails): close post-call coverage gaps --- .../enterprise_hooks/banned_keywords.py | 15 ++- .../guardrails/guardrail_hooks/lasso/lasso.py | 6 +- litellm/proxy/hooks/azure_content_safety.py | 16 ++-- .../guardrails/test_guardrail_coverage.py | 93 +++++++++++++++++++ 4 files changed, 117 insertions(+), 13 deletions(-) diff --git a/enterprise/enterprise_hooks/banned_keywords.py b/enterprise/enterprise_hooks/banned_keywords.py index a86b59daf56..621fde011d2 100644 --- a/enterprise/enterprise_hooks/banned_keywords.py +++ b/enterprise/enterprise_hooks/banned_keywords.py @@ -94,11 +94,16 @@ class _ENTERPRISE_BannedKeywords(CustomLogger): user_api_key_dict: UserAPIKeyAuth, response, ): - if isinstance(response, litellm.ModelResponse) and isinstance( - response.choices[0], litellm.utils.Choices - ): - for word in self.banned_keywords_list: - self.test_violation(test_str=response.choices[0].message.content or "") + if not isinstance(response, litellm.ModelResponse): + return + + for choice in response.choices: + if not isinstance(choice, litellm.utils.Choices): + continue + message = getattr(choice, "message", None) + content = getattr(message, "content", None) + if isinstance(content, str): + self.test_violation(test_str=content) async def async_post_call_streaming_hook( self, diff --git a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py index 04697981085..e64b69efcc0 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py +++ b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py @@ -51,6 +51,7 @@ from litellm.llms.custom_httpx.http_handler import ( ) from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.guardrails._content_utils import ( + apply_redacted_messages_back, build_inspection_messages, has_non_string_content, ) @@ -420,8 +421,9 @@ class LassoGuardrail(CustomGuardrail): self._process_lasso_response(response) # Apply masking to messages if violations detected and masked messages are available - if response.get("violations_detected") and response.get("messages"): - data["messages"] = response["messages"] + redacted_messages = response.get("messages") + if response.get("violations_detected") and redacted_messages: + apply_redacted_messages_back(data, list(redacted_messages)) self._log_masking_applied(message_type, dict(response)) return data diff --git a/litellm/proxy/hooks/azure_content_safety.py b/litellm/proxy/hooks/azure_content_safety.py index a21f0566ccd..844bbc11af5 100644 --- a/litellm/proxy/hooks/azure_content_safety.py +++ b/litellm/proxy/hooks/azure_content_safety.py @@ -141,12 +141,16 @@ class _PROXY_AzureContentSafety( response, ): verbose_proxy_logger.debug("Inside Azure Content-Safety Post-Call Hook") - if isinstance(response, litellm.ModelResponse) and isinstance( - response.choices[0], litellm.utils.Choices - ): - await self.test_violation( - content=response.choices[0].message.content or "", source="output" - ) + if not isinstance(response, litellm.ModelResponse): + return + + for choice in response.choices: + if not isinstance(choice, litellm.utils.Choices): + continue + message = getattr(choice, "message", None) + content = getattr(message, "content", None) + if isinstance(content, str): + await self.test_violation(content=content, source="output") # async def async_post_call_streaming_hook( # self, diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py index 04bd57fa32a..329f78bf504 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -399,6 +399,36 @@ async def test_lasso_inspects_responses_api_input(user_api_key, monkeypatch): assert seen_messages == [[{"role": "user", "content": "responses-api content"}]] +@pytest.mark.asyncio +async def test_lasso_masking_writes_back_responses_api_input(user_api_key, monkeypatch): + """Krrish blocker: Lasso classifix masking must update ``data["input"]`` + for Responses-API requests, not only ``data["messages"]``.""" + monkeypatch.setenv("LASSO_API_KEY", "ls-test") + from litellm.proxy.guardrails.guardrail_hooks.lasso.lasso import LassoGuardrail + + guard = LassoGuardrail(lasso_api_key="ls-test", mask=True) + lasso_response = { + "violations_detected": True, + "deputies": {"pii": True}, + "findings": {"pii": [{"action": "AUTO_MASKING"}]}, + "messages": [{"role": "user", "content": "[REDACTED]"}], + } + + async def fake_call_lasso_api(headers, payload, api_url=None): + return lasso_response + + data = {"input": "user@example.com leaked"} + + with patch.object(guard, "_call_lasso_api", side_effect=fake_call_lasso_api): + await guard._run_lasso_guardrail( + data=data, + cache=DualCache(), + message_type="PROMPT", + ) + + assert data["input"] == "[REDACTED]" + + # ── Banned Keywords ─────────────────────────────────────────────────────────── @@ -456,6 +486,69 @@ def test_banned_keywords_blocks_responses_api_input(monkeypatch): asyncio.run(_run()) +@pytest.mark.asyncio +async def test_banned_keywords_post_call_checks_all_choices(monkeypatch, user_api_key): + """Krrish blocker: ``n>1`` responses must not bypass post-call checks by + placing the banned text in ``choices[1+]``.""" + monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False) + from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords + from fastapi import HTTPException + + guard = _ENTERPRISE_BannedKeywords() + response = ModelResponse( + choices=[ + Choices(index=0, message=Message(role="assistant", content="clean")), + Choices(index=1, message=Message(role="assistant", content="forbidden")), + ] + ) + + with pytest.raises(HTTPException) as exc: + await guard.async_post_call_success_hook( + data={}, + user_api_key_dict=user_api_key, + response=response, + ) + + assert "forbidden" in str(exc.value.detail).lower() + + +# ── Azure Content Safety ────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_azure_content_safety_post_call_checks_all_choices(user_api_key): + """Krrish blocker: ``n>1`` responses must not bypass Azure Content Safety + by placing the unsafe text in ``choices[1+]``.""" + from fastapi import HTTPException + from litellm.proxy.hooks.azure_content_safety import _PROXY_AzureContentSafety + + guard = _PROXY_AzureContentSafety.__new__(_PROXY_AzureContentSafety) + seen_outputs = [] + + async def fake_test_violation(content, source=None): + seen_outputs.append((content, source)) + if "unsafe" in content: + raise HTTPException(status_code=400, detail={"error": "unsafe"}) + + guard.test_violation = fake_test_violation + response = ModelResponse( + choices=[ + Choices(index=0, message=Message(role="assistant", content="clean")), + Choices(index=1, message=Message(role="assistant", content="unsafe")), + Choices(index=2, message=Message(role="assistant", content="later")), + ] + ) + + with pytest.raises(HTTPException): + await guard.async_post_call_success_hook( + data={}, + user_api_key_dict=user_api_key, + response=response, + ) + + assert seen_outputs == [("clean", "output"), ("unsafe", "output")] + + # ── Secret Detection ────────────────────────────────────────────────────────── From 2a8fe32850a7fef65f305bfaa08923dd6e513d97 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sat, 2 May 2026 02:32:01 +0000 Subject: [PATCH 080/160] fix(types): add /team/permissions_bulk_update to management_routes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The blocklist check in _check_proxy_admin_viewer_access only fires for routes that match LiteLLMRoutes.management_routes — the bulk-update endpoint was missing from that list, so the test for view-only admins on /team/permissions_bulk_update fell through to "allow." Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/_types.py | 1 + 1 file changed, 1 insertion(+) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 3cca23f07ab..3c16f6fdda7 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -565,6 +565,7 @@ class LiteLLMRoutes(enum.Enum): "/team/available", "/team/permissions_list", "/team/permissions_update", + "/team/permissions_bulk_update", "/team/daily/activity", # model "/model/new", From f4e7dde2d8ff150c969fea80c7fd663482458a89 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 19:38:04 -0700 Subject: [PATCH 081/160] fix(guardrails): cover multi-choice output variants --- .../guardrail_hooks/azure/text_moderation.py | 32 ++-- .../litellm_content_filter/content_filter.py | 145 ++++++++++-------- .../semantic_guard/semantic_guard.py | 25 ++- .../guardrail_hooks/xecguard/xecguard.py | 31 ++-- tests/guardrails_tests/test_semantic_guard.py | 19 +++ .../azure/test_azure_text_moderation.py | 46 ++++++ .../content_filter/test_content_filter.py | 65 ++++++++ .../guardrail_hooks/test_xecguard.py | 21 ++- 8 files changed, 296 insertions(+), 88 deletions(-) diff --git a/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py b/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py index a465c5428dd..55b446eb529 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py +++ b/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py @@ -254,15 +254,16 @@ class AzureContentSafetyTextModerationGuardrail(AzureGuardrailBase, CustomGuardr ) -> Any: from litellm.types.utils import Choices, ModelResponse - if ( - isinstance(response, ModelResponse) - and response.choices - and isinstance(response.choices[0], Choices) - ): - content = response.choices[0].message.content or "" - await self.async_make_request( - text=content, - ) + if isinstance(response, ModelResponse) and response.choices: + for choice in response.choices: + if not isinstance(choice, Choices): + continue + content = _message_content_to_text(choice.message.content) + if not content: + continue + await self.async_make_request( + text=content, + ) return response async def async_post_call_streaming_hook( @@ -279,3 +280,16 @@ class AzureContentSafetyTextModerationGuardrail(AzureGuardrailBase, CustomGuardr error_returned = json.dumps({"error": e.detail}) return f"data: {error_returned}\n\n" + + +def _message_content_to_text(content: Any) -> str: + if isinstance(content, str): + return content + if isinstance(content, list): + text_parts = [ + item.get("text") + for item in content + if isinstance(item, dict) and isinstance(item.get("text"), str) + ] + return "\n".join(part for part in text_parts if part) + return "" diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py index 3ef99e4ad60..d6d2e014948 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py +++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py @@ -1873,8 +1873,9 @@ class ContentFilterGuardrail(CustomGuardrail): and the UI Request Lifecycle panel. Mirrors apply_guardrail's finally-block contract. """ - accumulated_full_text = "" - yielded_masked_text_len = 0 + accumulated_text_by_choice: Dict[int, str] = {} + yielded_masked_text_len_by_choice: Dict[int, int] = {} + latest_detections_by_choice: Dict[int, List[ContentFilterDetection]] = {} buffer_size = 50 # Increased buffer to catch patterns split across many chunks start_time = datetime.now() @@ -1890,79 +1891,90 @@ class ContentFilterGuardrail(CustomGuardrail): try: async for item in response: if isinstance(item, ModelResponseStream) and item.choices: - delta_content = "" - is_final = False for choice in item.choices: - if hasattr(choice, "delta") and choice.delta: - content = getattr(choice.delta, "content", None) - if content and isinstance(content, str): - delta_content += content - if getattr(choice, "finish_reason", None): - is_final = True + if not (hasattr(choice, "delta") and choice.delta): + continue - accumulated_full_text += delta_content + choice_index = getattr(choice, "index", 0) + if not isinstance(choice_index, int): + choice_index = 0 - # Check for blocking or apply masking - # Add a space at the end if it's the final chunk to trigger word boundaries (\b) - text_to_check = accumulated_full_text - if is_final: - text_to_check += " " + content = getattr(choice.delta, "content", None) + is_final = bool(getattr(choice, "finish_reason", None)) + if isinstance(content, str) and content: + accumulated_text_by_choice[choice_index] = ( + accumulated_text_by_choice.get(choice_index, "") + + content + ) + elif not is_final: + continue - try: - # Reset before each scan: _filter_single_text scans the - # whole accumulated buffer every chunk, so previous-chunk - # matches are guaranteed to be re-found. Keeping only the - # latest scan's detections avoids N× duplication in the - # final log row. BLOCK still records correctly because - # handlers append to detections before raising. - detections.clear() - masked_text = self._filter_single_text( - text_to_check, detections=detections + text_to_check = accumulated_text_by_choice.get(choice_index, "") + if not text_to_check: + continue + + # Add a space at the end if it's the final chunk to trigger word boundaries (\b) + text_to_scan = text_to_check + (" " if is_final else "") + choice_detections: List[ContentFilterDetection] = [] + + try: + # _filter_single_text scans the whole accumulated + # choice buffer every chunk, so previous-chunk + # matches are guaranteed to be re-found. Keeping + # only each choice's latest scan avoids duplicate + # detections in the final log row. + masked_text = self._filter_single_text( + text_to_scan, detections=choice_detections + ) + if is_final and masked_text.endswith(" "): + masked_text = masked_text[:-1] + latest_detections_by_choice[choice_index] = ( + choice_detections + ) + except HTTPException: + latest_detections_by_choice[choice_index] = ( + choice_detections + ) + raise + except Exception as e: + verbose_proxy_logger.error( + f"ContentFilterGuardrail: Error in masking: {e}" + ) + masked_text = text_to_scan # Fallback to current text + + # Determine how much can be safely yielded + if is_final: + safe_to_yield_len = len(masked_text) + else: + safe_to_yield_len = max(0, len(masked_text) - buffer_size) + + yielded_masked_text_len = yielded_masked_text_len_by_choice.get( + choice_index, 0 ) - if is_final and masked_text.endswith(" "): - masked_text = masked_text[:-1] - except HTTPException: - raise - except Exception as e: - verbose_proxy_logger.error( - f"ContentFilterGuardrail: Error in masking: {e}" - ) - masked_text = text_to_check # Fallback to current text + if safe_to_yield_len > yielded_masked_text_len: + new_masked_content = masked_text[ + yielded_masked_text_len:safe_to_yield_len + ] + choice.delta.content = new_masked_content + yielded_masked_text_len_by_choice[choice_index] = ( + safe_to_yield_len + ) + else: + # Hold content by yielding empty content on this choice + # while preserving chunk metadata and other choices. + choice.delta.content = "" - # Determine how much can be safely yielded - if is_final: - safe_to_yield_len = len(masked_text) - else: - safe_to_yield_len = max(0, len(masked_text) - buffer_size) - - if safe_to_yield_len > yielded_masked_text_len: - new_masked_content = masked_text[ - yielded_masked_text_len:safe_to_yield_len - ] - # Modify the chunk to contain only the new masked content - if ( - item.choices - and hasattr(item.choices[0], "delta") - and item.choices[0].delta - ): - item.choices[0].delta.content = new_masked_content - yielded_masked_text_len = safe_to_yield_len - yield item - else: - # Hold content by yielding empty content chunk (keeps metadata/structure) - if ( - item.choices - and hasattr(item.choices[0], "delta") - and item.choices[0].delta - ): - item.choices[0].delta.content = "" - yield item + yield item else: # Not a ModelResponseStream or no choices - yield as is yield item # Any remaining content (should have been handled by is_final, but just in case) - if yielded_masked_text_len < len(accumulated_full_text): + if any( + yielded_masked_text_len_by_choice.get(choice_index, 0) + < len(accumulated_text) + for choice_index, accumulated_text in accumulated_text_by_choice.items() + ): # We already reached the end of the generator pass except HTTPException: @@ -1973,6 +1985,11 @@ class ContentFilterGuardrail(CustomGuardrail): exception_str = str(e) raise e finally: + detections = [ + detection + for choice_detections in latest_detections_by_choice.values() + for detection in choice_detections + ] self._count_masked_entities(detections, masked_entity_count) self._log_guardrail_information( request_data=request_data, diff --git a/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py b/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py index be48991500b..21c01da029b 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py +++ b/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py @@ -187,11 +187,28 @@ def _extract_user_text(messages: List) -> str: def _extract_response_text(response: Any) -> str: - """Extract text from LLM response object.""" + """Extract text from every LLM response choice.""" if hasattr(response, "choices") and response.choices: - choice = response.choices[0] - if hasattr(choice, "message") and choice.message: - return choice.message.content or "" + text_parts: List[str] = [] + for choice in response.choices: + if hasattr(choice, "message") and choice.message: + text = _content_to_text(choice.message.content) + if text: + text_parts.append(text) + return "\n".join(text_parts) + return "" + + +def _content_to_text(content: Any) -> str: + if isinstance(content, str): + return content + if isinstance(content, list): + text_parts = [ + block.get("text") + for block in content + if isinstance(block, dict) and isinstance(block.get("text"), str) + ] + return " ".join(part for part in text_parts if part) return "" diff --git a/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py b/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py index 5c374540e28..5acfc5403ce 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py +++ b/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py @@ -480,21 +480,32 @@ class XecGuardGuardrail(CustomGuardrail): choices = response.get("choices") if not choices: return None - first = choices[0] - if hasattr(first, "message"): - message = first.message - elif isinstance(first, dict): - message = first.get("message") + text_parts: List[str] = [] + for choice in choices: + content = XecGuardGuardrail._extract_choice_content(choice) + text = XecGuardGuardrail._content_to_text(content) + if text: + text_parts.append(text) + return "\n".join(text_parts) or None + + @staticmethod + def _extract_choice_content(choice: Any) -> Any: + if hasattr(choice, "message"): + message = choice.message + elif isinstance(choice, dict): + message = choice.get("message") else: return None if message is None: return None if hasattr(message, "content"): - content = message.content - elif isinstance(message, dict): - content = message.get("content") - else: - return None + return message.content + if isinstance(message, dict): + return message.get("content") + return None + + @staticmethod + def _content_to_text(content: Any) -> Optional[str]: if isinstance(content, str) and content: return content if isinstance(content, list): diff --git a/tests/guardrails_tests/test_semantic_guard.py b/tests/guardrails_tests/test_semantic_guard.py index 44d8e417f5e..a7e6230d029 100644 --- a/tests/guardrails_tests/test_semantic_guard.py +++ b/tests/guardrails_tests/test_semantic_guard.py @@ -171,6 +171,25 @@ class TestHelperFunctions: mock_response.choices[0].message.content = "Hello from LLM" assert _extract_response_text(mock_response) == "Hello from LLM" + def test_extract_response_text_combines_all_choices(self): + from litellm.proxy.guardrails.guardrail_hooks.semantic_guard.semantic_guard import ( + _extract_response_text, + ) + + first_choice = MagicMock() + first_choice.message.content = "first response" + second_choice = MagicMock() + second_choice.message.content = [ + {"type": "text", "text": "second"}, + {"type": "text", "text": "response"}, + ] + mock_response = MagicMock() + mock_response.choices = [first_choice, second_choice] + + assert ( + _extract_response_text(mock_response) == "first response\nsecond response" + ) + def test_extract_response_text_empty(self): from litellm.proxy.guardrails.guardrail_hooks.semantic_guard.semantic_guard import ( _extract_response_text, diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py index 5e3cb76f44f..94c7cefaeb3 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py @@ -232,6 +232,52 @@ async def test_azure_text_moderation_guardrail_post_call_success_hook(): assert mock_async_make_request.call_args.kwargs["text"] == "Hello world" +@pytest.mark.asyncio +async def test_azure_text_moderation_guardrail_post_call_checks_all_choices(): + azure_text_moderation_guardrail = AzureContentSafetyTextModerationGuardrail( + guardrail_name="azure_text_moderation", + api_key="azure_text_moderation_api_key", + api_base="azure_text_moderation_api_base", + ) + with patch.object( + azure_text_moderation_guardrail, "async_make_request" + ) as mock_async_make_request: + mock_async_make_request.side_effect = [ + { + "blocklistsMatch": [], + "categoriesAnalysis": [{"category": "Hate", "severity": 0}], + }, + HTTPException( + status_code=400, + detail={"error": "blocked second choice"}, + ), + ] + + with pytest.raises(HTTPException): + await azure_text_moderation_guardrail.async_post_call_success_hook( + data={}, + user_api_key_dict=UserAPIKeyAuth( + api_key="azure_text_moderation_api_key" + ), + response=ModelResponse( + choices=[ + Choices( + index=0, + message=Message(content="safe response"), + ), + Choices( + index=1, + message=Message(content="unsafe response"), + ), + ] + ), + ) + + assert [ + call.kwargs["text"] for call in mock_async_make_request.call_args_list + ] == ["safe response", "unsafe response"] + + @pytest.mark.asyncio async def test_azure_text_moderation_guardrail_post_call_streaming_hook(): diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py index f7377926efc..fb952d4b18b 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py @@ -453,6 +453,71 @@ class TestContentFilterGuardrail: assert "[EMAIL_REDACTED]" in full_content assert "Contact me at [EMAIL_REDACTED] for info" in full_content + @pytest.mark.asyncio + async def test_streaming_hook_mask_checks_all_choices(self): + from litellm.types.utils import Delta, ModelResponseStream, StreamingChoices + + patterns = [ + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="email", + action=ContentFilterAction.MASK, + ), + ] + + guardrail = ContentFilterGuardrail( + guardrail_name="test-streaming-mask-all-choices", + patterns=patterns, + event_hook=GuardrailEventHooks.during_call, + ) + + async def mock_stream(): + yield ModelResponseStream( + id="chunk1", + choices=[ + StreamingChoices( + delta=Delta(content="Contact first@ex"), + index=0, + ), + StreamingChoices( + delta=Delta(content="Email second@ex"), + index=1, + ), + ], + model="gpt-4", + ) + yield ModelResponseStream( + id="chunk2", + choices=[ + StreamingChoices( + delta=Delta(content="ample.com for help"), + index=0, + finish_reason="stop", + ), + StreamingChoices( + delta=Delta(content="ample.com for support"), + index=1, + finish_reason="stop", + ), + ], + model="gpt-4", + ) + + content_by_choice = {0: "", 1: ""} + async for chunk in guardrail.async_post_call_streaming_iterator_hook( + user_api_key_dict=MagicMock(), + response=mock_stream(), + request_data={}, + ): + for choice in chunk.choices: + if choice.delta.content: + content_by_choice[choice.index] += choice.delta.content + + assert "first@example.com" not in content_by_choice[0] + assert "second@example.com" not in content_by_choice[1] + assert content_by_choice[0] == "Contact [EMAIL_REDACTED] for help" + assert content_by_choice[1] == "Email [EMAIL_REDACTED] for support" + @pytest.mark.asyncio async def test_streaming_hook_block(self): """ diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py index b6635442383..60c595c64e5 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py @@ -6,7 +6,6 @@ branch coverage. Network calls are always mocked; the companion live suite lives in ``test_xecguard_live.py``. """ -import asyncio import os from unittest.mock import MagicMock, patch @@ -1196,6 +1195,26 @@ class TestXecGuardMessageAssembly: is None ) + def test_extract_assistant_text_combines_all_choices(self, xecguard_guardrail): + assert ( + xecguard_guardrail._extract_assistant_text_from_response( + { + "choices": [ + {"message": {"content": "first response"}}, + { + "message": { + "content": [ + {"type": "text", "text": "second"}, + {"type": "text", "text": "response"}, + ] + } + }, + ] + } + ) + == "first response\nsecond\nresponse" + ) + def test_synthesize_user_inputs_not_dict(self, xecguard_guardrail): assert xecguard_guardrail._synthesize_user_from_inputs("not-dict") is None From 6ae589fbb1e7935a282c644d3dc96c4eff3b611a Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 19:46:27 -0700 Subject: [PATCH 082/160] fix(proxy): preserve public ai hub ui setting --- .../proxy_setting_endpoints.py | 6 +++ .../test_proxy_setting_endpoints.py | 40 +++++++++++++++++++ 2 files changed, 46 insertions(+) diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index a7efe97157c..db3ae9ad942 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -94,6 +94,11 @@ class UISettings(BaseModel): description="List of page keys that internal users (non-admins) can see in the UI sidebar. If not set, all pages are visible based on role permissions.", ) + require_auth_for_public_ai_hub: bool = Field( + default=False, + description="If true, requires authentication for accessing the public AI Hub.", + ) + allow_public_health_readiness_details: bool = Field( default=False, description="If true, returns the legacy detailed payload from the unauthenticated /health/readiness endpoint.", @@ -168,6 +173,7 @@ ALLOWED_UI_SETTINGS_FIELDS = { "disable_model_add_for_internal_users", "disable_team_admin_delete_team_user", "enabled_ui_pages_internal_users", + "require_auth_for_public_ai_hub", "allow_public_health_readiness_details", "forward_client_headers_to_llm_api", "forward_llm_provider_auth_headers", diff --git a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py index 8e67c7e87e2..c27d7eedcdb 100644 --- a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py +++ b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py @@ -868,6 +868,7 @@ class TestProxySettingEndpoints: mock_db_record = MagicMock() mock_db_record.ui_settings = { "disable_model_add_for_internal_users": True, + "require_auth_for_public_ai_hub": True, "unexpected_flag": True, } mock_prisma.db.litellm_uisettings.find_unique = AsyncMock( @@ -880,10 +881,12 @@ class TestProxySettingEndpoints: assert response.status_code == 200 data = response.json() assert data["values"]["disable_model_add_for_internal_users"] is True + assert data["values"]["require_auth_for_public_ai_hub"] is True assert "unexpected_flag" not in data["values"] assert ( "disable_model_add_for_internal_users" in data["field_schema"]["properties"] ) + assert "require_auth_for_public_ai_hub" in data["field_schema"]["properties"] mock_prisma.db.litellm_uisettings.find_unique.assert_called_once_with( where={"id": "ui_settings"} ) @@ -1070,6 +1073,43 @@ class TestProxySettingEndpoints: assert "unsupported_flag" not in stored_settings assert stored_settings["disable_model_add_for_internal_users"] is False + def test_update_ui_settings_preserves_public_ai_hub_auth_flag( + self, mock_auth, monkeypatch + ): + """Public AI Hub auth is an existing UI setting and must remain writable.""" + from unittest.mock import AsyncMock, MagicMock + + from litellm.proxy._types import UserAPIKeyAuth + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + user_id="test-user-123", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", True) + mock_prisma = MagicMock() + mock_prisma.db.litellm_uisettings.upsert = AsyncMock() + mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(return_value=None) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + payload = {"require_auth_for_public_ai_hub": True} + + try: + response = client.patch("/update/ui_settings", json=payload) + finally: + app.dependency_overrides.clear() + + assert response.status_code == 200 + data = response.json() + assert data["status"] == "success" + assert data["settings"]["require_auth_for_public_ai_hub"] is True + + call_args = mock_prisma.db.litellm_uisettings.upsert.call_args + stored_settings = json.loads(call_args.kwargs["data"]["create"]["ui_settings"]) + assert stored_settings["require_auth_for_public_ai_hub"] is True + def test_update_ui_settings_persists_forward_llm_provider_auth_headers( self, mock_auth, monkeypatch ): From be4f46683af81a02d4164cf16830e90c982ca5fa Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 1 May 2026 20:20:39 -0700 Subject: [PATCH 083/160] fix(scim): cascade FK cleanup on user delete and surface block status in UI SCIM DELETE /Users/{id} previously called litellm_usertable.delete without clearing rows that FK back to the user, so Postgres rejected the delete with LiteLLM_InvitationLink_user_id_fkey and the SCIM caller saw a 500. Add a helper to drop invitation_link, organization_membership, and team_membership rows before the user delete (mirrors /user/delete in internal_user_endpoints). Also add a Status column to the Virtual Keys and Internal Users tables so admins can see at a glance which keys are blocked and which users SCIM has deactivated. SCIM-blocked keys carry a tooltip explaining the origin. Pin the dashboard's Node version to 20 via .nvmrc to match CI. --- .../management_endpoints/scim/scim_v2.py | 26 ++++++ .../scim/test_scim_key_deactivation.py | 65 +++++++++++++ ui/litellm-dashboard/.nvmrc | 1 + .../VirtualKeysPage/VirtualKeysTable.test.tsx | 92 ++++++++++++++++++- .../VirtualKeysPage/VirtualKeysTable.tsx | 31 ++++++- .../src/components/view_users/columns.tsx | 26 +++++- .../src/components/view_users/table.test.tsx | 91 ++++++++++++++++++ .../src/components/view_users/types.ts | 1 + 8 files changed, 330 insertions(+), 3 deletions(-) create mode 100644 ui/litellm-dashboard/.nvmrc diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py index 173acd41b35..5692ed5bc5c 100644 --- a/litellm/proxy/management_endpoints/scim/scim_v2.py +++ b/litellm/proxy/management_endpoints/scim/scim_v2.py @@ -420,6 +420,30 @@ async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: return len(affected_keys) +async def _delete_rows_referencing_user(prisma_client: Any, *, user_id: str) -> None: + """Drop rows whose foreign keys reference ``LiteLLM_UserTable.user_id``. + + Required before deleting the user row itself, otherwise Postgres rejects + the user delete with an FK constraint violation (e.g. + ``LiteLLM_InvitationLink_user_id_fkey``). + """ + await prisma_client.db.litellm_invitationlink.delete_many( + where={ + "OR": [ + {"user_id": user_id}, + {"created_by": user_id}, + {"updated_by": user_id}, + ] + } + ) + await prisma_client.db.litellm_organizationmembership.delete_many( + where={"user_id": user_id} + ) + await prisma_client.db.litellm_teammembership.delete_many( + where={"user_id": user_id} + ) + + def _scim_active_value(metadata: Optional[Dict[str, Any]]) -> Optional[bool]: """Read the SCIM active flag from a user's metadata dict, if present.""" if not metadata: @@ -1118,6 +1142,8 @@ async def delete_user( # missing owner. await _set_user_keys_blocked(user_id=user_id, blocked=True) + await _delete_rows_referencing_user(prisma_client, user_id=user_id) + # Delete user await prisma_client.db.litellm_usertable.delete(where={"user_id": user_id}) diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py index e14209ce068..ad02c0e2a83 100644 --- a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py +++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py @@ -47,6 +47,9 @@ def _build_prisma_with_keys(user_keys, mock_user=None, updated_user=None): mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=user_keys) mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None) mock_db.litellm_verificationtoken.update = AsyncMock(return_value=None) + mock_db.litellm_invitationlink.delete_many = AsyncMock(return_value=None) + mock_db.litellm_organizationmembership.delete_many = AsyncMock(return_value=None) + mock_db.litellm_teammembership.delete_many = AsyncMock(return_value=None) return mock_client, mock_db @@ -185,6 +188,68 @@ async def test_scim_delete_user_blocks_keys_before_deleting_user(): ) +@pytest.mark.asyncio +async def test_scim_delete_user_clears_fk_referenced_rows_before_user_delete(): + user_id = "user-with-invite" + mock_user = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={}, + ) + mock_client, mock_db = _build_prisma_with_keys(user_keys=[], mock_user=mock_user) + + call_order: list = [] + mock_db.litellm_invitationlink.delete_many = AsyncMock( + side_effect=lambda **kw: call_order.append(("invitation", kw)) or None + ) + mock_db.litellm_organizationmembership.delete_many = AsyncMock( + side_effect=lambda **kw: call_order.append(("orgmembership", kw)) or None + ) + mock_db.litellm_teammembership.delete_many = AsyncMock( + side_effect=lambda **kw: call_order.append(("teammembership", kw)) or None + ) + mock_db.litellm_usertable.delete = AsyncMock( + side_effect=lambda **kw: call_order.append(("user", kw)) or None + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + response = await delete_user(user_id=user_id) + + assert response.status_code == 204 + + mock_db.litellm_invitationlink.delete_many.assert_awaited_once() + inv_kwargs = mock_db.litellm_invitationlink.delete_many.await_args.kwargs + assert inv_kwargs == { + "where": { + "OR": [ + {"user_id": user_id}, + {"created_by": user_id}, + {"updated_by": user_id}, + ] + } + } + mock_db.litellm_organizationmembership.delete_many.assert_awaited_once_with( + where={"user_id": user_id} + ) + mock_db.litellm_teammembership.delete_many.assert_awaited_once_with( + where={"user_id": user_id} + ) + + stages = [stage for stage, _ in call_order] + assert stages.index("user") > stages.index("invitation") + assert stages.index("user") > stages.index("orgmembership") + + @pytest.mark.asyncio async def test_scim_patch_user_active_false_blocks_keys(): user_id = "scim-user" diff --git a/ui/litellm-dashboard/.nvmrc b/ui/litellm-dashboard/.nvmrc new file mode 100644 index 00000000000..209e3ef4b62 --- /dev/null +++ b/ui/litellm-dashboard/.nvmrc @@ -0,0 +1 @@ +20 diff --git a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx index e6d144df65a..98813f84625 100644 --- a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx +++ b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx @@ -1,4 +1,4 @@ -import { screen, waitFor, fireEvent } from "@testing-library/react"; +import { act, screen, waitFor, fireEvent } from "@testing-library/react"; import { vi, it, expect, beforeEach, MockedFunction } from "vitest"; import { renderWithProviders } from "../../../tests/test-utils"; import { VirtualKeysTable } from "./VirtualKeysTable"; @@ -974,3 +974,93 @@ describe("refetch button", () => { expect(screen.getByText("Fetch")).toBeInTheDocument(); }); }); + +describe("Status column reflects key.blocked / scim_blocked metadata", () => { + it("should render Active for a non-blocked key", async () => { + mockUseFilterLogic.mockReturnValue({ + filters: { + "Team ID": "", + "Organization ID": "", + "Key Alias": "", + "User ID": "", + "Sort By": "created_at", + "Sort Order": "desc", + }, + filteredKeys: [{ ...mockKey, blocked: false, metadata: {} }], + filteredTotalCount: null, + allTeams: [mockTeam], + allOrganizations: [mockOrganization], + handleFilterChange: vi.fn(), + handleFilterReset: vi.fn(), + }); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByTestId(`key-status-${mockKey.token_id}`)).toHaveTextContent( + "Active", + ); + }); + }); + + it("should render Blocked when key.blocked is true", async () => { + mockUseFilterLogic.mockReturnValue({ + filters: { + "Team ID": "", + "Organization ID": "", + "Key Alias": "", + "User ID": "", + "Sort By": "created_at", + "Sort Order": "desc", + }, + filteredKeys: [{ ...mockKey, blocked: true, metadata: {} }], + filteredTotalCount: null, + allTeams: [mockTeam], + allOrganizations: [mockOrganization], + handleFilterChange: vi.fn(), + handleFilterReset: vi.fn(), + }); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByTestId(`key-status-${mockKey.token_id}`)).toHaveTextContent( + "Blocked", + ); + }); + expect(screen.queryByText(/Blocked by SCIM/i)).not.toBeInTheDocument(); + }); + + it("should mark a SCIM-blocked key with the SCIM tooltip reason", async () => { + mockUseFilterLogic.mockReturnValue({ + filters: { + "Team ID": "", + "Organization ID": "", + "Key Alias": "", + "User ID": "", + "Sort By": "created_at", + "Sort Order": "desc", + }, + filteredKeys: [ + { ...mockKey, blocked: true, metadata: { scim_blocked: true } }, + ], + filteredTotalCount: null, + allTeams: [mockTeam], + allOrganizations: [mockOrganization], + handleFilterChange: vi.fn(), + handleFilterReset: vi.fn(), + }); + + renderWithProviders(); + + const tag = await screen.findByTestId(`key-status-${mockKey.token_id}`); + expect(tag).toHaveTextContent("Blocked"); + + act(() => { + fireEvent.mouseEnter(tag); + }); + await waitFor(() => { + expect(screen.getByText(/Blocked by SCIM/i)).toBeInTheDocument(); + }); + }); +}); diff --git a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx index b30d4b6ce5b..b48f0285f6e 100644 --- a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx +++ b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx @@ -26,7 +26,7 @@ import { Text, } from "@tremor/react"; import { InfoCircleOutlined, SyncOutlined } from "@ant-design/icons"; -import { Button as AntButton, Popover, Skeleton, Tooltip, Typography } from "antd"; +import { Button as AntButton, Popover, Skeleton, Tag, Tooltip, Typography } from "antd"; import React, { useEffect, useDeferredValue, useMemo, useState } from "react"; import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key"; import { useFilterLogic } from "../key_team_helpers/filter_logic"; @@ -183,6 +183,35 @@ export function VirtualKeysTable({ teams, organizations, onSortChange, currentSo ); }, }, + { + id: "status", + header: "Status", + size: 100, + enableSorting: false, + cell: ({ row }) => { + const key = row.original; + if (key.blocked !== true) { + return ( + + Active + + ); + } + const isScimBlocked = + (key.metadata as Record | null | undefined) + ?.scim_blocked === true; + const reason = isScimBlocked + ? "Blocked by SCIM (external identity provider deactivated or deleted the owning user)." + : "Blocked. Requests using this key will be rejected with 401."; + return ( + + + Blocked + + + ); + }, + }, { id: "key_name", accessorKey: "key_name", diff --git a/ui/litellm-dashboard/src/components/view_users/columns.tsx b/ui/litellm-dashboard/src/components/view_users/columns.tsx index 4b9fad8f23c..fa3661067ff 100644 --- a/ui/litellm-dashboard/src/components/view_users/columns.tsx +++ b/ui/litellm-dashboard/src/components/view_users/columns.tsx @@ -1,6 +1,6 @@ import { ColumnDef } from "@tanstack/react-table"; import { Badge, Grid, Icon } from "@tremor/react"; -import { Tooltip, Checkbox } from "antd"; +import { Tooltip, Checkbox, Tag } from "antd"; import { UserInfo } from "./types"; import { PencilAltIcon, TrashIcon, InformationCircleIcon, RefreshIcon } from "@heroicons/react/outline"; import { CopyOutlined } from "@ant-design/icons"; @@ -54,6 +54,30 @@ export const columns = ( enableSorting: true, cell: ({ row }) => {row.original.user_email || "-"}, }, + { + id: "status", + header: "Status", + enableSorting: false, + cell: ({ row }) => { + const isScimInactive = + (row.original.metadata as Record | null | undefined) + ?.scim_active === false; + if (isScimInactive) { + return ( + + + Inactive + + + ); + } + return ( + + Active + + ); + }, + }, { header: "Global Proxy Role", accessorKey: "user_role", diff --git a/ui/litellm-dashboard/src/components/view_users/table.test.tsx b/ui/litellm-dashboard/src/components/view_users/table.test.tsx index 82f49d9618e..783b99329bd 100644 --- a/ui/litellm-dashboard/src/components/view_users/table.test.tsx +++ b/ui/litellm-dashboard/src/components/view_users/table.test.tsx @@ -1,6 +1,8 @@ import { act, fireEvent, render, screen } from "@testing-library/react"; import { describe, expect, it, vi } from "vitest"; +import { columns } from "./columns"; import { UserDataTable } from "./table"; +import { UserInfo } from "./types"; const defaultFilters = { email: "", @@ -100,6 +102,7 @@ describe("UserDataTable", () => { [ "User ID", "Email", + "Status", "Global Proxy Role", "User Alias", "Spend (USD)", @@ -113,4 +116,92 @@ describe("UserDataTable", () => { expect(screen.getByRole("columnheader", { name: header })).toBeInTheDocument(); }); }); + + it("should render the user-row Status cell as Active when scim_active is not set to false", () => { + const possibleUIRoles = { admin: { ui_label: "Admin" } }; + const handlers = { edit: vi.fn(), del: vi.fn(), reset: vi.fn(), click: vi.fn() }; + const cols = columns( + possibleUIRoles, + handlers.edit, + handlers.del, + handlers.reset, + handlers.click, + ); + const statusCol = cols.find((c) => (c as { id?: string }).id === "status"); + expect(statusCol).toBeDefined(); + + const baseUser: UserInfo = { + user_id: "u-active", + user_email: "active@example.com", + user_alias: null, + user_role: "admin", + spend: 0, + max_budget: null, + models: [], + key_count: 0, + created_at: "", + updated_at: "", + sso_user_id: null, + budget_duration: null, + }; + + const cellNoMetadata = (statusCol as any).cell({ row: { original: baseUser } }); + render(<>{cellNoMetadata}); + expect(screen.getByText("Active")).toBeInTheDocument(); + expect(screen.queryByText("Inactive")).not.toBeInTheDocument(); + }); + + it("should render the user-row Status cell as Inactive when scim_active is false", () => { + const possibleUIRoles = { admin: { ui_label: "Admin" } }; + const cols = columns(possibleUIRoles, vi.fn(), vi.fn(), vi.fn(), vi.fn()); + const statusCol = cols.find((c) => (c as { id?: string }).id === "status")!; + + const inactiveUser: UserInfo = { + user_id: "u-inactive", + user_email: "alex@acme.io", + user_alias: null, + user_role: "internal_user", + spend: 0, + max_budget: null, + models: [], + key_count: 1, + created_at: "", + updated_at: "", + sso_user_id: null, + budget_duration: null, + metadata: { scim_active: false }, + }; + + const cell = (statusCol as any).cell({ row: { original: inactiveUser } }); + render(<>{cell}); + expect(screen.getByText("Inactive")).toBeInTheDocument(); + expect(screen.queryByText("Active")).not.toBeInTheDocument(); + }); + + it("should treat scim_active=true as Active (not Inactive)", () => { + const possibleUIRoles = { admin: { ui_label: "Admin" } }; + const cols = columns(possibleUIRoles, vi.fn(), vi.fn(), vi.fn(), vi.fn()); + const statusCol = cols.find((c) => (c as { id?: string }).id === "status")!; + + const reactivated: UserInfo = { + user_id: "u-rehired", + user_email: "alex@acme.io", + user_alias: null, + user_role: "internal_user", + spend: 0, + max_budget: null, + models: [], + key_count: 1, + created_at: "", + updated_at: "", + sso_user_id: null, + budget_duration: null, + metadata: { scim_active: true }, + }; + + const cell = (statusCol as any).cell({ row: { original: reactivated } }); + render(<>{cell}); + expect(screen.getByText("Active")).toBeInTheDocument(); + expect(screen.queryByText("Inactive")).not.toBeInTheDocument(); + }); }); diff --git a/ui/litellm-dashboard/src/components/view_users/types.ts b/ui/litellm-dashboard/src/components/view_users/types.ts index 744aa00a88b..7e1bae82845 100644 --- a/ui/litellm-dashboard/src/components/view_users/types.ts +++ b/ui/litellm-dashboard/src/components/view_users/types.ts @@ -11,4 +11,5 @@ export interface UserInfo { updated_at: string; sso_user_id: string | null; budget_duration: string | null; + metadata?: Record | null; } From 62a0b71785fe2c070165cc36b5438a5cb71d74ef Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 1 May 2026 20:21:02 -0700 Subject: [PATCH 084/160] chore: update Next.js build artifacts (2026-05-02 03:21 UTC, node v20.20.2) --- litellm/proxy/_experimental/out/404.html | 1 + .../_experimental/out/__next.__PAGE__.txt | 33 +- .../proxy/_experimental/out/__next._full.txt | 71 +-- .../proxy/_experimental/out/__next._head.txt | 2 +- .../proxy/_experimental/out/__next._index.txt | 4 +- 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openai + +client = openai.OpenAI( + api_key="${v||"YOUR_LITELLM_API_KEY"}", + base_url="${x}" +)`;switch(h){case o.CHAT:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, + extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.chat.completions.create( + model="${O}", + messages=${JSON.stringify(a,null,4)}${i} +) + +print(response) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.chat.completions.create( +# model="${O}", +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "text", +# "text": "${E}" +# }, +# { +# "type": "image_url", +# "image_url": { +# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} +# } +# } +# ] +# } +# ]${i} +# ) +# print(response_with_file) +`;break}case o.RESPONSES:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, + extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.responses.create( + model="${O}", + input=${JSON.stringify(a,null,4)}${i} +) + +print(response.output_text) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.responses.create( +# model="${O}", +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "${E}"}, +# { +# "type": "input_image", +# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} +# }, +# ], +# } +# ]${i} +# ) +# print(response_with_file.output_text) +`;break}case o.IMAGE:t="azure"===A?` +# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. +# This snippet uses 'client.images.generate' and will create a new image based on your prompt. +# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. +import os +import requests +import json +import time +from PIL import Image + +result = client.images.generate( + model="${O}", + prompt="${n}", + n=1 +) + +json_response = json.loads(result.model_dump_json()) + +# Set the directory for the stored image +image_dir = os.path.join(os.curdir, 'images') + +# If the directory doesn't exist, create it +if not os.path.isdir(image_dir): + os.mkdir(image_dir) + +# Initialize the image path +image_filename = f"generated_image_{int(time.time())}.png" +image_path = os.path.join(image_dir, image_filename) + +try: + # Retrieve the generated image + if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): + image_url = json_response["data"][0]["url"] + generated_image = requests.get(image_url).content + with open(image_path, "wb") as image_file: + image_file.write(generated_image) + + print(f"Image saved to {image_path}") + # Display the image + image = Image.open(image_path) + image.show() + else: + print("Could not find image URL in response.") + print("Full response:", json_response) +except Exception as e: + print(f"An error occurred: {e}") + print("Full response:", json_response) +`:` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${O}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case o.IMAGE_EDITS:t="azure"===A?` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${O}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`:` +import base64 +import os +import time + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${O}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. 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LLM Cost Estimate Report

+

${a} model${1!==a?"s":""} configured

+ +
+

Combined Totals

+
+
+
Total Per Request
+
${tA(e.totals.cost_per_request)}
+
+
+
Total Daily
+
${tA(e.totals.daily_cost)}
+
+
+
Total Monthly
+
${tA(e.totals.monthly_cost)}
+
+
+ ${e.totals.margin_per_request>0?` +
+
+
Margin/Request
+
${tA(e.totals.margin_per_request)}
+
+
+
Daily Margin
+
${tA(e.totals.daily_margin)}
+
+
+
Monthly Margin
+
${tA(e.totals.monthly_margin)}
+
+
+ `:""} +
+ +

Model Breakdown

+ ${s.map(e=>{let t;return t=e.result,` +
+

${t.model} ${t.provider?`(${t.provider})`:""}

+ +
+

Input Tokens per Request: ${tM(t.input_tokens)}

+

Output Tokens per Request: ${tM(t.output_tokens)}

+ ${t.num_requests_per_day?`

Requests per Day: ${tM(t.num_requests_per_day)}

`:""} + ${t.num_requests_per_month?`

Requests per Month: ${tM(t.num_requests_per_month)}

`:""} +
+ +
+ + + + ${null!==t.daily_cost?"":""} + ${null!==t.monthly_cost?"":""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + +
Cost TypePer RequestDailyMonthly
Input Cost${tA(t.input_cost_per_request)}${tA(t.daily_input_cost)}${tA(t.monthly_input_cost)}
Output Cost${tA(t.output_cost_per_request)}${tA(t.daily_output_cost)}${tA(t.monthly_output_cost)}
Margin/Fee${tA(t.margin_cost_per_request)}${tA(t.daily_margin_cost)}${tA(t.monthly_margin_cost)}
Total${tA(t.cost_per_request)}${tA(t.daily_cost)}${tA(t.monthly_cost)}
+ + `}).join("")} + + + + + `;t.document.write(l),t.document.close(),t.onload=()=>{t.print()}})(e),a(!1)},children:[(0,t.jsx)(tC.FilePdfOutlined,{className:"mr-3 text-red-500"}),"Export as PDF"]}),(0,t.jsxs)("button",{className:"flex items-center w-full px-4 py-2 text-sm text-gray-700 hover:bg-gray-50 transition-colors",onClick:()=>{(e=>{let t=e.entries.filter(e=>null!==e.result),s=[["LLM Multi-Model Cost Estimate Report"],["Generated",new Date().toLocaleString()],[""]];for(let a of(s.push(["COMBINED TOTALS"],["Total Per Request",e.totals.cost_per_request.toString()],["Total Daily",e.totals.daily_cost?.toString()||"-"],["Total Monthly",e.totals.monthly_cost?.toString()||"-"],["Margin Per Request",e.totals.margin_per_request.toString()],["Daily Margin",e.totals.daily_margin?.toString()||"-"],["Monthly Margin",e.totals.monthly_margin?.toString()||"-"],[""]),s.push(["Model","Provider","Input Tokens","Output Tokens","Requests/Day","Requests/Month","Cost/Request","Daily Cost","Monthly 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with text only +response = client.chat.completions.create( + model="${S}", + messages=${JSON.stringify(a,null,4)}${i} +) + +print(response) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.chat.completions.create( +# model="${S}", +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "text", +# "text": "${E}" +# }, +# { +# "type": "image_url", +# "image_url": { +# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} +# } +# } +# ] +# } +# ]${i} +# ) +# print(response_with_file) +`;break}case o.RESPONSES:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, + extra_body=${e}`}let a=w.length>0?w:[{role:"user",content:I}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.responses.create( + model="${S}", + input=${JSON.stringify(a,null,4)}${i} +) + +print(response.output_text) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.responses.create( +# model="${S}", +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "${E}"}, +# { +# "type": "input_image", +# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} +# }, +# ], +# } +# ]${i} +# ) +# print(response_with_file.output_text) +`;break}case o.IMAGE:t="azure"===v?` +# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. +# This snippet uses 'client.images.generate' and will create a new image based on your prompt. +# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. +import os +import requests +import json +import time +from PIL import Image + +result = client.images.generate( + model="${S}", + prompt="${n}", + n=1 +) + +json_response = json.loads(result.model_dump_json()) + +# Set the directory for the stored image +image_dir = os.path.join(os.curdir, 'images') + +# If the directory doesn't exist, create it +if not os.path.isdir(image_dir): + os.mkdir(image_dir) + +# Initialize the image path +image_filename = f"generated_image_{int(time.time())}.png" +image_path = os.path.join(image_dir, image_filename) + +try: + # Retrieve the generated image + if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): + image_url = json_response["data"][0]["url"] + generated_image = requests.get(image_url).content + with open(image_path, "wb") as image_file: + image_file.write(generated_image) + + print(f"Image saved to {image_path}") + # Display the image + image = Image.open(image_path) + image.show() + else: + print("Could not find image URL in response.") + print("Full response:", json_response) +except Exception as e: + print(f"An error occurred: {e}") + print("Full response:", json_response) +`:` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${S}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case o.IMAGE_EDITS:t="azure"===v?` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${S}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`:` +import base64 +import os +import time + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${S}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. 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+0:{"buildId":"lw0pr129QWvsGxcNhZmh0","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"(dashboard)","paramType":null,"paramKey":"(dashboard)","hasRuntimePrefetch":false,"slots":{"children":{"name":"virtual-keys","paramType":null,"paramKey":"virtual-keys","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":true},"staleTime":300} From 6194028f798cd49cd9eca3eafa8371fd661365e6 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sat, 2 May 2026 03:26:58 +0000 Subject: [PATCH 085/160] perf(proxy): cache container/skill ownership reads on the hot path Container ownership and skill rows are looked up on every retrieve / delete / list / file-content / chat-completion-with-skill call. The new stores wrapped raw Prisma queries with no cache, putting one DB round-trip on each request. Add an in-process TTL'd cache mirroring the _byok_cred_cache pattern in mcp_server/server.py: per-key (value, monotonic_timestamp), 60s TTL, 10000-entry cap with full-clear on overflow, invalidated by every write. Negative results (`None`) are cached too so untracked-resource checks also skip the DB. Tests cover: cache-after-first-hit, negative caching, write invalidation, no-caching-on-DB-error, TTL expiry, capacity eviction. 56 tests pass. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/llms/litellm_proxy/skills/handler.py | 62 +++++++- .../proxy/container_endpoints/ownership.py | 52 ++++++- .../test_container_proxy_ownership.py | 133 ++++++++++++++++++ .../litellm_proxy/test_skills_ownership.py | 105 ++++++++++++++ 4 files changed, 342 insertions(+), 10 deletions(-) diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 6eb6f40fc64..7a6dbb175fb 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -6,8 +6,9 @@ Used by the transformation layer and skills injection hook. """ import os +import time import uuid -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Optional, Tuple from litellm._logging import verbose_logger from litellm.llms.litellm_proxy.skills.store import LiteLLMSkillsStore @@ -21,6 +22,39 @@ from litellm.proxy.common_utils.resource_ownership import ( ALLOW_UNOWNED_SKILL_ACCESS_ENV = "LITELLM_ALLOW_UNOWNED_SKILL_ACCESS" +# Skills are looked up on every chat completion that has skills enabled +# (`LiteLLMSkillsHandler.fetch_skill_from_db` in the injection hook). Cache +# the Prisma skill row for a short window so the hot path doesn't issue a DB +# round-trip per request. Same shape as `_byok_cred_cache` and the container +# ownership cache: (value, monotonic_timestamp). `None` is cached as a true +# negative ("skill does not exist") so repeated misses also avoid the DB. +_SKILL_CACHE: Dict[str, Tuple[Optional[Any], float]] = {} +_SKILL_CACHE_TTL = 60 # seconds +_SKILL_CACHE_MAX_SIZE = 10000 + + +def _read_skill_cache(skill_id: str) -> Tuple[bool, Optional[Any]]: + """Return (hit, value). hit=False means caller must consult the DB.""" + entry = _SKILL_CACHE.get(skill_id) + if entry is None: + return False, None + value, timestamp = entry + if time.monotonic() - timestamp > _SKILL_CACHE_TTL: + _SKILL_CACHE.pop(skill_id, None) + return False, None + return True, value + + +def _write_skill_cache(skill_id: str, skill: Optional[Any]) -> None: + if len(_SKILL_CACHE) >= _SKILL_CACHE_MAX_SIZE: + _SKILL_CACHE.clear() + _SKILL_CACHE[skill_id] = (skill, time.monotonic()) + + +def _invalidate_skill_cache(skill_id: str) -> None: + """Drop the cache entry after a write so the next read sees the new row.""" + _SKILL_CACHE.pop(skill_id, None) + def _allow_unowned_skill_access() -> bool: return os.getenv(ALLOW_UNOWNED_SKILL_ACCESS_ENV, "").lower() in { @@ -190,6 +224,24 @@ class LiteLLMSkillsHandler: return [_prisma_skill_to_litellm(s) for s in skills] + @staticmethod + async def _load_skill(skill_id: str) -> Optional[Any]: + """Cache-first read of the Prisma skill row. + + Caching here keeps `fetch_skill_from_db` (called per chat completion in + the skills injection hook) off the DB. Owner-scope filtering happens + on the cached row, so the cache is per-skill and not per-caller. + """ + cached_hit, cached_skill = _read_skill_cache(skill_id) + if cached_hit: + return cached_skill + + prisma_client = await LiteLLMSkillsHandler._get_prisma_client() + store = LiteLLMSkillsStore(prisma_client) + skill = await store.find_skill(skill_id) + _write_skill_cache(skill_id, skill) + return skill + @staticmethod async def get_skill( skill_id: str, @@ -207,12 +259,9 @@ class LiteLLMSkillsHandler: Raises: ValueError: If skill not found """ - prisma_client = await LiteLLMSkillsHandler._get_prisma_client() - store = LiteLLMSkillsStore(prisma_client) - verbose_logger.debug(f"LiteLLMSkillsHandler: Getting skill {skill_id}") - skill = await store.find_skill(skill_id) + skill = await LiteLLMSkillsHandler._load_skill(skill_id) if skill is None: raise ValueError(f"Skill not found: {skill_id}") @@ -247,7 +296,7 @@ class LiteLLMSkillsHandler: verbose_logger.debug(f"LiteLLMSkillsHandler: Deleting skill {skill_id}") # Check if skill exists - skill = await store.find_skill(skill_id) + skill = await LiteLLMSkillsHandler._load_skill(skill_id) if skill is None: raise ValueError(f"Skill not found: {skill_id}") @@ -259,6 +308,7 @@ class LiteLLMSkillsHandler: # Delete the skill await store.delete_skill(skill_id) + _invalidate_skill_cache(skill_id) return {"id": skill_id, "type": "skill_deleted"} diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 86188c02414..e5577c4052e 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -1,4 +1,5 @@ import os +import time from collections import OrderedDict from typing import Any, Dict, List, Optional, Set, Tuple @@ -22,6 +23,38 @@ ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV = "LITELLM_ALLOW_UNTRACKED_CONTAINER_ACCESS MAX_IN_MEMORY_CONTAINER_OWNERS = 10000 _IN_MEMORY_CONTAINER_OWNERS: "OrderedDict[str, str]" = OrderedDict() +# Short-lived cache keeps every container access check from hitting the DB +# (`_get_container_owner` is invoked on retrieve / delete / list / file-content +# paths). Mirrors the `_byok_cred_cache` pattern in mcp_server/server.py: +# (value, monotonic_timestamp) tuples, TTL'd, capped, invalidated by writes. +# A `None` value caches "untracked" so repeated negative lookups also avoid DB. +_CONTAINER_OWNER_CACHE: Dict[str, Tuple[Optional[str], float]] = {} +_CONTAINER_OWNER_CACHE_TTL = 60 # seconds +_CONTAINER_OWNER_CACHE_MAX_SIZE = 10000 + + +def _read_container_owner_cache(model_object_id: str) -> Tuple[bool, Optional[str]]: + """Return (hit, value). hit=False means caller must consult the DB.""" + entry = _CONTAINER_OWNER_CACHE.get(model_object_id) + if entry is None: + return False, None + value, timestamp = entry + if time.monotonic() - timestamp > _CONTAINER_OWNER_CACHE_TTL: + _CONTAINER_OWNER_CACHE.pop(model_object_id, None) + return False, None + return True, value + + +def _write_container_owner_cache(model_object_id: str, owner: Optional[str]) -> None: + if len(_CONTAINER_OWNER_CACHE) >= _CONTAINER_OWNER_CACHE_MAX_SIZE: + _CONTAINER_OWNER_CACHE.clear() + _CONTAINER_OWNER_CACHE[model_object_id] = (owner, time.monotonic()) + + +def _invalidate_container_owner_cache(model_object_id: str) -> None: + """Drop a cache entry after a write so the next read sees the new owner.""" + _CONTAINER_OWNER_CACHE.pop(model_object_id, None) + def _allow_untracked_container_access() -> bool: return os.getenv(ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, "").lower() in { @@ -139,6 +172,7 @@ async def record_container_owner( ): raise HTTPException(status_code=403, detail="Forbidden") _remember_container_owner(model_object_id, owner) + _invalidate_container_owner_cache(model_object_id) return response store = ContainerOwnershipStore(prisma_client) @@ -185,6 +219,7 @@ async def record_container_owner( raise HTTPException(status_code=403, detail="Forbidden") _remember_container_owner(model_object_id, owner) + _invalidate_container_owner_cache(model_object_id) return response @@ -196,15 +231,23 @@ async def _get_container_owner( original_container_id, custom_llm_provider, ) + + cached_hit, cached_value = _read_container_owner_cache(model_object_id) + if cached_hit: + return cached_value + try: prisma_client = await _get_prisma_client() if prisma_client is None: - return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + _write_container_owner_cache(model_object_id, owner) + return owner owner = await ContainerOwnershipStore(prisma_client).get_owner(model_object_id) - if owner is not None: - return owner - return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + if owner is None: + owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + _write_container_owner_cache(model_object_id, owner) + return owner except Exception as e: verbose_proxy_logger.warning( "Failed to load container ownership for container_id=%s; " @@ -212,6 +255,7 @@ async def _get_container_owner( model_object_id, e, ) + # Don't cache transient DB errors — let the next request retry. return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 13216ad7c59..63e5e16d0d6 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -14,9 +14,11 @@ from litellm.types.containers.main import ContainerListResponse, ContainerObject @pytest.fixture(autouse=True) def clear_in_memory_container_owners(monkeypatch): ownership._IN_MEMORY_CONTAINER_OWNERS.clear() + ownership._CONTAINER_OWNER_CACHE.clear() monkeypatch.delenv(ownership.ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, raising=False) yield ownership._IN_MEMORY_CONTAINER_OWNERS.clear() + ownership._CONTAINER_OWNER_CACHE.clear() def _container(container_id: str) -> ContainerObject: @@ -1102,3 +1104,134 @@ async def test_should_forward_decoded_container_id_for_proxy_delete(monkeypatch) assert result["container_id"] == "cntr_provider" assert result["custom_llm_provider"] == "azure" assert result["model_id"] == "router-gpt" + + +# ── Cache layer ──────────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_get_container_owner_uses_cache_after_first_db_hit(monkeypatch): + """Repeated access checks within the TTL window must not hit the DB. + + Greptile's P1 was that ownership reads issued a Prisma query on every + request. The cache here mirrors `_byok_cred_cache`: TTL'd, capped, and + invalidated on writes. + """ + table = AsyncMock() + fake_row = SimpleNamespace( + created_by="user-1", file_purpose=ownership.CONTAINER_OBJECT_PURPOSE + ) + table.find_first.return_value = fake_row + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + owner_first = await ownership._get_container_owner("cntr_x", "openai") + owner_second = await ownership._get_container_owner("cntr_x", "openai") + owner_third = await ownership._get_container_owner("cntr_x", "openai") + + assert owner_first == "user-1" + assert owner_second == "user-1" + assert owner_third == "user-1" + # Single DB call across three reads — the cache absorbs the rest. + assert table.find_first.await_count == 1 + + +@pytest.mark.asyncio +async def test_get_container_owner_caches_negative_lookups(monkeypatch): + """`None` (untracked) must also be cached so repeated misses don't query.""" + table = AsyncMock() + table.find_first.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + assert await ownership._get_container_owner("cntr_x", "openai") is None + assert await ownership._get_container_owner("cntr_x", "openai") is None + assert table.find_first.await_count == 1 + + +@pytest.mark.asyncio +async def test_record_container_owner_invalidates_cache(monkeypatch): + """A recorded owner must drop the cached value so the next read re-fetches. + + Otherwise a stale `None` from a prior negative lookup would survive the + create and the new owner would be invisible until the TTL elapses. + """ + # Seed the cache with a stale negative result. + ownership._write_container_owner_cache("container:openai:cntr_new", None) + cached_hit, cached_value = ownership._read_container_owner_cache( + "container:openai:cntr_new" + ) + assert cached_hit and cached_value is None + + table = AsyncMock() + table.find_unique.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + await ownership.record_container_owner( + response=_container("cntr_new"), + user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), + custom_llm_provider="openai", + ) + + # Invalidation drops the entry — next read goes to the DB. + cached_hit, _ = ownership._read_container_owner_cache("container:openai:cntr_new") + assert not cached_hit + + +@pytest.mark.asyncio +async def test_get_container_owner_does_not_cache_on_db_error(monkeypatch): + """DB errors must skip caching so transient failures don't pin a `None`.""" + table = AsyncMock() + table.find_first.side_effect = Exception("db unavailable") + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + result = await ownership._get_container_owner("cntr_x", "openai") + assert result is None + cached_hit, _ = ownership._read_container_owner_cache("container:openai:cntr_x") + assert not cached_hit + + +def test_container_owner_cache_expires_after_ttl(monkeypatch): + """Entries past the TTL count as misses so writes elsewhere are eventually + visible to this process.""" + monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_TTL", 0.0) + ownership._write_container_owner_cache("k", "user-1") + cached_hit, _ = ownership._read_container_owner_cache("k") + # TTL of 0 means anything in the cache is already stale. + assert not cached_hit + + +def test_container_owner_cache_evicts_when_at_capacity(monkeypatch): + """The cache must not grow unbounded; reaching capacity clears all entries.""" + monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_MAX_SIZE", 2) + ownership._write_container_owner_cache("a", "user-a") + ownership._write_container_owner_cache("b", "user-b") + ownership._write_container_owner_cache("c", "user-c") + # Reaching the cap clears everything — the new write is the only survivor. + assert ownership._CONTAINER_OWNER_CACHE.keys() == {"c"} diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index 45ed172a845..f98a04205b4 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -20,6 +20,9 @@ from litellm.skills import main as skills_main @pytest.fixture(autouse=True) def clear_skill_ownership_env(monkeypatch): monkeypatch.delenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, raising=False) + skills_handler._SKILL_CACHE.clear() + yield + skills_handler._SKILL_CACHE.clear() def _skill(skill_id: str, created_by: str | None) -> LiteLLM_SkillsTable: @@ -433,3 +436,105 @@ async def test_should_scope_skill_injection_fetch_to_authenticated_user(monkeypa "litellm_skill_other", user_api_key_dict=auth, ) + + +# ── Cache layer ──────────────────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_load_skill_uses_cache_after_first_db_hit(monkeypatch): + """`fetch_skill_from_db` is hit per-chat-completion; the cache absorbs + repeats so we don't issue a Prisma query on every request.""" + fake_skill = Mock(created_by="user-1", skill_id="litellm_skill_a") + store_factory = AsyncMock() + store = Mock() + store.find_skill = AsyncMock(return_value=fake_skill) + monkeypatch.setattr( + skills_handler.LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=store_factory), + ) + monkeypatch.setattr( + skills_handler, + "LiteLLMSkillsStore", + Mock(return_value=store), + ) + + first = await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") + second = await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") + third = await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") + + assert first is fake_skill + assert second is fake_skill + assert third is fake_skill + assert store.find_skill.await_count == 1 + + +@pytest.mark.asyncio +async def test_load_skill_caches_negative_lookups(monkeypatch): + """Missing skills must cache as `None` so repeated lookups skip the DB.""" + store_factory = AsyncMock() + store = Mock() + store.find_skill = AsyncMock(return_value=None) + monkeypatch.setattr( + skills_handler.LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=store_factory), + ) + monkeypatch.setattr( + skills_handler, + "LiteLLMSkillsStore", + Mock(return_value=store), + ) + + assert await skills_handler.LiteLLMSkillsHandler._load_skill("missing") is None + assert await skills_handler.LiteLLMSkillsHandler._load_skill("missing") is None + assert store.find_skill.await_count == 1 + + +@pytest.mark.asyncio +async def test_delete_skill_invalidates_cache(monkeypatch): + """After delete, the next read must consult the DB rather than the cached + pre-delete row.""" + fake_skill = Mock(created_by="user-1", skill_id="litellm_skill_a") + store = Mock() + store.find_skill = AsyncMock(return_value=fake_skill) + store.delete_skill = AsyncMock() + monkeypatch.setattr( + skills_handler.LiteLLMSkillsHandler, + "_get_prisma_client", + AsyncMock(return_value=Mock()), + ) + monkeypatch.setattr( + skills_handler, + "LiteLLMSkillsStore", + Mock(return_value=store), + ) + + # Prime the cache via the read path. + await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") + cached_hit, _ = skills_handler._read_skill_cache("litellm_skill_a") + assert cached_hit + + auth = UserAPIKeyAuth(user_id="user-1") + await skills_handler.LiteLLMSkillsHandler.delete_skill( + "litellm_skill_a", user_api_key_dict=auth + ) + + cached_hit_after, _ = skills_handler._read_skill_cache("litellm_skill_a") + assert not cached_hit_after + + +def test_skill_cache_expires_after_ttl(monkeypatch): + monkeypatch.setattr(skills_handler, "_SKILL_CACHE_TTL", 0.0) + skills_handler._write_skill_cache("k", Mock()) + cached_hit, _ = skills_handler._read_skill_cache("k") + assert not cached_hit + + +def test_skill_cache_evicts_when_at_capacity(monkeypatch): + monkeypatch.setattr(skills_handler, "_SKILL_CACHE_MAX_SIZE", 2) + skills_handler._write_skill_cache("a", Mock()) + skills_handler._write_skill_cache("b", Mock()) + skills_handler._write_skill_cache("c", Mock()) + assert skills_handler._SKILL_CACHE.keys() == {"c"} From 5faf75dceb72e7f0671af067a57e6f0f2de0334d Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 1 May 2026 20:39:03 -0700 Subject: [PATCH 086/160] chore: update Next.js build artifacts (2026-05-02 03:39 UTC, 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"mcpServers": { - "${ev.server_name}": { - "url": "${(0,x.getProxyBaseUrl)()}/${ev.server_name}/mcp", + "${ey.server_name}": { + "url": "${(0,x.getProxyBaseUrl)()}/${ey.server_name}/mcp", "headers": { "x-litellm-api-key": "Bearer sk-1234" } @@ -47,4 +47,4 @@ async def main(): print(f"Response: {response}") if __name__ == "__main__": - asyncio.run(main())`})]})]})}),(0,t.jsx)(y,{visible:W,onClose:()=>ea(!1),accessToken:e||"",modelHubData:_||[],onSuccess:()=>{e&&(async()=>{try{let t=await (0,x.modelHubCall)(e);M(t.data)}catch(e){console.error("Error refreshing model data:",e)}})()}}),(0,t.jsx)(p,{visible:ec,onClose:()=>eo(!1),accessToken:e||"",agentHubData:en||[],onSuccess:()=>{e&&(async()=>{try{let t=(await (0,x.getAgentsList)(e)).agents.map(e=>({agent_id:e.agent_id,...e.agent_card_params,is_public:e.is_public}));er(t)}catch(e){console.error("Error refreshing agent 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data:",e)}})()}}),(0,t.jsx)(b,{visible:e$,onClose:()=>eT(!1),accessToken:e||"",mcpHubData:eb||[],onSuccess:()=>{e&&(async()=>{try{let t=await (0,x.fetchMCPServers)(e);ej(t)}catch(e){console.error("Error refreshing MCP server data:",e)}})()}}),(0,t.jsx)(U,{visible:eM,onClose:()=>eI(!1),accessToken:e||"",skillsList:ew,onSuccess:async()=>{eC((await (0,x.getClaudeCodePluginsList)(e||"",!0===a)).plugins)}})]})}],934879)}]); \ No newline at end of file diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/eaa9f9b9bb3e054b.js b/litellm/proxy/_experimental/out/_next/static/chunks/0cdfadbcf4b8c9e4.js similarity index 99% rename from litellm/proxy/_experimental/out/_next/static/chunks/eaa9f9b9bb3e054b.js rename to litellm/proxy/_experimental/out/_next/static/chunks/0cdfadbcf4b8c9e4.js index 90c31ed55ea..e3a6771539f 100644 --- a/litellm/proxy/_experimental/out/_next/static/chunks/eaa9f9b9bb3e054b.js +++ b/litellm/proxy/_experimental/out/_next/static/chunks/0cdfadbcf4b8c9e4.js @@ -4,7 +4,7 @@ ${t}`)}return n})(tN);class tE extends tw{list(e={},t){let{betas:s,...r}=e??{};r Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information.`);let a=this._client._options.timeout;if(!r.stream&&null==a){let e=t$[r.model]??void 0;a=this._client.calculateNonstreamingTimeout(r.max_tokens,e)}return this._client.post("/v1/messages?beta=true",{body:r,timeout:a??6e5,...t,headers:t_([{...s?.toString()!=null?{"anthropic-beta":s?.toString()}:void 0},t?.headers]),stream:e.stream??!1})}stream(e,t){return tM.createMessage(this,e,t)}countTokens(e,t){let{betas:s,...r}=e;return this._client.post("/v1/messages/count_tokens?beta=true",{body:r,...t,headers:t_([{"anthropic-beta":[...s??[],"token-counting-2024-11-01"].toString()},t?.headers])})}}tD.Batches=tA;class tB extends tw{constructor(){super(...arguments),this.models=new tC(this._client),this.messages=new tD(this._client),this.files=new tE(this._client)}}tB.Models=tC,tB.Messages=tD,tB.Files=tE;class tq extends tw{create(e,t){let{betas:s,...r}=e;return this._client.post("/v1/complete",{body:r,timeout:this._client._options.timeout??6e5,...t,headers:t_([{...s?.toString()!=null?{"anthropic-beta":s?.toString()}:void 0},t?.headers]),stream:e.stream??!1})}}let tW="__json_buf";function tz(e){return"tool_use"===e.type||"server_tool_use"===e.type}class tH{constructor(){P.add(this),this.messages=[],this.receivedMessages=[],O.set(this,void 0),this.controller=new AbortController,R.set(this,void 0),I.set(this,()=>{}),M.set(this,()=>{}),L.set(this,void 0),$.set(this,()=>{}),U.set(this,()=>{}),D.set(this,{}),B.set(this,!1),q.set(this,!1),W.set(this,!1),z.set(this,!1),H.set(this,void 0),F.set(this,void 0),V.set(this,e=>{if(e_(this,q,!0,"f"),eE(e)&&(e=new eP),e instanceof eP)return e_(this,W,!0,"f"),this._emit("abort",e);if(e instanceof eT)return this._emit("error",e);if(e instanceof Error){let t=new eT(e.message);return t.cause=e,this._emit("error",t)}return this._emit("error",new eT(String(e)))}),e_(this,R,new 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eT("stream has ended, this shouldn't happen");let e=eN(this,O,"f");if(!e)throw new eT("request ended without sending any chunks");return e_(this,O,void 0,"f"),e},Q=function(e){let t=eN(this,O,"f");if("message_start"===e.type){if(t)throw new eT(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new eT(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push(e.content_block),t;case"content_block_delta":{let s=t.content.at(e.index);switch(e.delta.type){case"text_delta":s?.type==="text"&&(s.text+=e.delta.text);break;case"citations_delta":s?.type==="text"&&(s.citations??(s.citations=[]),s.citations.push(e.delta.citation));break;case"input_json_delta":if(s&&tz(s)){let 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tJ extends tw{create(e,t){return this._client.post("/v1/messages/batches",{body:e,...t})}retrieve(e,t){return this._client.get(tk`/v1/messages/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/v1/messages/batches",tc,{query:e,...t})}delete(e,t){return this._client.delete(tk`/v1/messages/batches/${e}`,t)}cancel(e,t){return this._client.post(tk`/v1/messages/batches/${e}/cancel`,t)}async results(e,t){let s=await this.retrieve(e);if(!s.results_url)throw new eT(`No batch \`results_url\`; Has it finished processing? ${s.processing_status} - ${s.id}`);return this._client.get(s.results_url,{...t,headers:t_([{Accept:"application/binary"},t?.headers]),stream:!0,__binaryResponse:!0})._thenUnwrap((e,t)=>tT.fromResponse(t.response,t.controller))}}class tG extends tw{constructor(){super(...arguments),this.batches=new tJ(this._client)}create(e,t){e.model in tV&&console.warn(`The model '${e.model}' is deprecated and will reach end-of-life on ${tV[e.model]} Please migrate to a newer model. 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LLM Cost Estimate Report

-

${a} model${1!==a?"s":""} configured

- -
-

Combined Totals

-
-
-
Total Per Request
-
${tA(e.totals.cost_per_request)}
-
-
-
Total Daily
-
${tA(e.totals.daily_cost)}
-
-
-
Total Monthly
-
${tA(e.totals.monthly_cost)}
-
-
- ${e.totals.margin_per_request>0?` -
-
-
Margin/Request
-
${tA(e.totals.margin_per_request)}
-
-
-
Daily Margin
-
${tA(e.totals.daily_margin)}
-
-
-
Monthly Margin
-
${tA(e.totals.monthly_margin)}
-
-
- `:""} -
- -

Model Breakdown

- ${s.map(e=>{let t;return t=e.result,` -
-

${t.model} ${t.provider?`(${t.provider})`:""}

- -
-

Input Tokens per Request: ${tM(t.input_tokens)}

-

Output Tokens per Request: ${tM(t.output_tokens)}

- ${t.num_requests_per_day?`

Requests per Day: ${tM(t.num_requests_per_day)}

`:""} - ${t.num_requests_per_month?`

Requests per Month: ${tM(t.num_requests_per_month)}

`:""} -
- - - - - - ${null!==t.daily_cost?"":""} - ${null!==t.monthly_cost?"":""} - - - - - ${null!==t.daily_cost?``:""} - ${null!==t.monthly_cost?``:""} - - - - - ${null!==t.daily_cost?``:""} - ${null!==t.monthly_cost?``:""} - - - - - ${null!==t.daily_cost?``:""} - ${null!==t.monthly_cost?``:""} - - - - - ${null!==t.daily_cost?``:""} - ${null!==t.monthly_cost?``:""} - -
Cost TypePer RequestDailyMonthly
Input Cost${tA(t.input_cost_per_request)}${tA(t.daily_input_cost)}${tA(t.monthly_input_cost)}
Output Cost${tA(t.output_cost_per_request)}${tA(t.daily_output_cost)}${tA(t.monthly_output_cost)}
Margin/Fee${tA(t.margin_cost_per_request)}${tA(t.daily_margin_cost)}${tA(t.monthly_margin_cost)}
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eT("stream has ended, this shouldn't happen");let e=eN(this,O,"f");if(!e)throw new eT("request ended without sending any chunks");return e_(this,O,void 0,"f"),e},Q=function(e){let t=eN(this,O,"f");if("message_start"===e.type){if(t)throw new eT(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new eT(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push(e.content_block),t;case"content_block_delta":{let s=t.content.at(e.index);switch(e.delta.type){case"text_delta":s?.type==="text"&&(s.text+=e.delta.text);break;case"citations_delta":s?.type==="text"&&(s.citations??(s.citations=[]),s.citations.push(e.delta.citation));break;case"input_json_delta":if(s&&tz(s)){let t=s[tW]||"";Object.defineProperty(s,tW,{value:t+=e.delta.partial_json,enumerable:!1,writable:!0}),t&&(s.input=tO(t))}break;case"thinking_delta":s?.type==="thinking"&&(s.thinking+=e.delta.thinking);break;case"signature_delta":s?.type==="thinking"&&(s.signature=e.delta.signature);break;default:tF(e.delta)}return t}}},Symbol.asyncIterator)](){let e=[],t=[],s=!1;return this.on("streamEvent",s=>{let r=t.shift();r?r.resolve(s):e.push(s)}),this.on("end",()=>{for(let e of(s=!0,t))e.resolve(void 0);t.length=0}),this.on("abort",e=>{for(let r of(s=!0,t))r.reject(e);t.length=0}),this.on("error",e=>{for(let r of(s=!0,t))r.reject(e);t.length=0}),{next:async()=>e.length?{value:e.shift(),done:!1}:s?{value:void 0,done:!0}:new Promise((e,s)=>t.push({resolve:e,reject:s})).then(e=>e?{value:e,done:!1}:{value:void 0,done:!0}),return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new te(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function tF(e){}class tJ extends tw{create(e,t){return this._client.post("/v1/messages/batches",{body:e,...t})}retrieve(e,t){return this._client.get(tk`/v1/messages/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/v1/messages/batches",tc,{query:e,...t})}delete(e,t){return this._client.delete(tk`/v1/messages/batches/${e}`,t)}cancel(e,t){return this._client.post(tk`/v1/messages/batches/${e}/cancel`,t)}async results(e,t){let s=await this.retrieve(e);if(!s.results_url)throw new eT(`No batch \`results_url\`; Has it finished processing? ${s.processing_status} - ${s.id}`);return this._client.get(s.results_url,{...t,headers:t_([{Accept:"application/binary"},t?.headers]),stream:!0,__binaryResponse:!0})._thenUnwrap((e,t)=>tT.fromResponse(t.response,t.controller))}}class tG extends tw{constructor(){super(...arguments),this.batches=new tJ(this._client)}create(e,t){e.model in tV&&console.warn(`The model '${e.model}' is deprecated and will reach end-of-life on ${tV[e.model]} Please migrate to a newer model. 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LLM Cost Estimate Report

+

${a} model${1!==a?"s":""} configured

+ +
+

Combined Totals

+
+
+
Total Per Request
+
${tL(e.totals.cost_per_request)}
+
+
+
Total Daily
+
${tL(e.totals.daily_cost)}
+
+
+
Total Monthly
+
${tL(e.totals.monthly_cost)}
+
+
+ ${e.totals.margin_per_request>0?` +
+
+
Margin/Request
+
${tL(e.totals.margin_per_request)}
+
+
+
Daily Margin
+
${tL(e.totals.daily_margin)}
+
+
+
Monthly Margin
+
${tL(e.totals.monthly_margin)}
+
+
+ `:""} +
+ +

Model Breakdown

+ ${s.map(e=>{let t;return t=e.result,` +
+

${t.model} ${t.provider?`(${t.provider})`:""}

+ +
+

Input Tokens per Request: ${tM(t.input_tokens)}

+

Output Tokens per Request: ${tM(t.output_tokens)}

+ ${t.num_requests_per_day?`

Requests per Day: ${tM(t.num_requests_per_day)}

`:""} + ${t.num_requests_per_month?`

Requests per Month: ${tM(t.num_requests_per_month)}

`:""} +
+ + + + + + ${null!==t.daily_cost?"":""} + ${null!==t.monthly_cost?"":""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + +
Cost TypePer RequestDailyMonthly
Input Cost${tL(t.input_cost_per_request)}${tL(t.daily_input_cost)}${tL(t.monthly_input_cost)}
Output Cost${tL(t.output_cost_per_request)}${tL(t.daily_output_cost)}${tL(t.monthly_output_cost)}
Margin/Fee${tL(t.margin_cost_per_request)}${tL(t.daily_margin_cost)}${tL(t.monthly_margin_cost)}
Total${tL(t.cost_per_request)}${tL(t.daily_cost)}${tL(t.monthly_cost)}
+
+ `}).join("")} + + + + + `;t.document.write(l),t.document.close(),t.onload=()=>{t.print()}})(e),a(!1)},children:[(0,t.jsx)(tC.FilePdfOutlined,{className:"mr-3 text-red-500"}),"Export as PDF"]}),(0,t.jsxs)("button",{className:"flex items-center w-full px-4 py-2 text-sm text-gray-700 hover:bg-gray-50 transition-colors",onClick:()=>{(e=>{let t=e.entries.filter(e=>null!==e.result),s=[["LLM Multi-Model Cost Estimate Report"],["Generated",new Date().toLocaleString()],[""]];for(let a of(s.push(["COMBINED TOTALS"],["Total Per Request",e.totals.cost_per_request.toString()],["Total Daily",e.totals.daily_cost?.toString()||"-"],["Total Monthly",e.totals.monthly_cost?.toString()||"-"],["Margin Per Request",e.totals.margin_per_request.toString()],["Daily Margin",e.totals.daily_margin?.toString()||"-"],["Monthly Margin",e.totals.monthly_margin?.toString()||"-"],[""]),s.push(["Model","Provider","Input Tokens","Output Tokens","Requests/Day","Requests/Month","Cost/Request","Daily Cost","Monthly 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input=[ -# { -# "role": "user", -# "content": [ -# {"type": "input_text", "text": "${w}"}, -# { -# "type": "input_image", -# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} -# }, -# ], -# } -# ]${i} -# ) -# print(response_with_file.output_text) -`;break}case r.IMAGE:t="azure"===x?` -# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. -# This snippet uses 'client.images.generate' and will create a new image based on your prompt. -# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. -import os -import requests -import json -import time -from PIL import Image - -result = client.images.generate( - model="${S}", - prompt="${n}", - n=1 -) - -json_response = json.loads(result.model_dump_json()) - -# Set the directory for the stored image -image_dir = os.path.join(os.curdir, 'images') - -# If the directory doesn't exist, create it -if not os.path.isdir(image_dir): - os.mkdir(image_dir) - -# Initialize the image path -image_filename = f"generated_image_{int(time.time())}.png" -image_path = os.path.join(image_dir, image_filename) - -try: - # Retrieve the generated image - if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): - image_url = json_response["data"][0]["url"] - generated_image = requests.get(image_url).content - with open(image_path, "wb") as image_file: - image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${w}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${S}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`;break;case r.IMAGE_EDITS:t="azure"===x?` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# The prompt entered by the user -prompt = "${w}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${S}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`:` -import base64 -import os -import time - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${w}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${S}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. 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openai - -client = openai.OpenAI( - api_key="${v||"YOUR_LITELLM_API_KEY"}", - base_url="${x}" -)`;switch(h){case o.CHAT:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, - extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=` -import base64 - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.chat.completions.create( - model="${O}", - messages=${JSON.stringify(a,null,4)}${i} -) - -print(response) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.chat.completions.create( -# model="${O}", -# messages=[ -# { -# "role": "user", -# "content": [ -# { -# "type": "text", -# "text": "${E}" -# }, -# { -# "type": "image_url", -# "image_url": { -# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} -# } -# } -# ] -# } -# ]${i} -# ) -# print(response_with_file) -`;break}case o.RESPONSES:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, - extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=` -import base64 - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.responses.create( - model="${O}", - input=${JSON.stringify(a,null,4)}${i} -) - -print(response.output_text) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.responses.create( -# model="${O}", -# input=[ -# { -# "role": "user", -# "content": [ -# {"type": "input_text", "text": "${E}"}, -# { -# "type": "input_image", -# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} -# }, -# ], -# } -# ]${i} -# ) -# print(response_with_file.output_text) -`;break}case o.IMAGE:t="azure"===A?` -# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. -# This snippet uses 'client.images.generate' and will create a new image based on your prompt. -# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. -import os -import requests -import json -import time -from PIL import Image - -result = client.images.generate( - model="${O}", - prompt="${n}", - n=1 -) - -json_response = json.loads(result.model_dump_json()) - -# Set the directory for the stored image -image_dir = os.path.join(os.curdir, 'images') - -# If the directory doesn't exist, create it -if not os.path.isdir(image_dir): - os.mkdir(image_dir) - -# Initialize the image path -image_filename = f"generated_image_{int(time.time())}.png" -image_path = os.path.join(image_dir, image_filename) - -try: - # Retrieve the generated image - if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): - image_url = json_response["data"][0]["url"] - generated_image = requests.get(image_url).content - with open(image_path, "wb") as image_file: - image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${E}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${O}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`;break;case o.IMAGE_EDITS:t="azure"===A?` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# The prompt entered by the user -prompt = "${E}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${O}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`:` -import base64 -import os -import time - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${E}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${O}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. 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\ No newline at end of file From ea0d92a3d870667de51f85512b87f28e758e0238 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 1 May 2026 20:49:49 -0700 Subject: [PATCH 087/160] fix: remove traceback key instead of it being "" --- litellm/proxy/hooks/proxy_track_cost_callback.py | 9 ++++++++- .../proxy/spend_tracking/spend_log_error_logger.py | 9 ++++++--- .../proxy/hooks/test_proxy_track_cost_callback.py | 12 +++++++----- 3 files changed, 21 insertions(+), 9 deletions(-) diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py index 823e19025e4..ad32b18a543 100644 --- a/litellm/proxy/hooks/proxy_track_cost_callback.py +++ b/litellm/proxy/hooks/proxy_track_cost_callback.py @@ -83,7 +83,14 @@ class _ProxyDBLogger(CustomLogger): traceback_str=traceback_str, ) if should_suppress_spend_log_tracebacks(): - _error_information = {**_error_information, "traceback": ""} + # Drop the traceback key entirely so the per-row Metadata pane in + # the UI (which renders the JSON blob verbatim) doesn't show a + # noisy ``"traceback": ""`` line. Downstream consumers all use + # ``.get("traceback")`` / truthy checks, and the TypedDict marks + # the field as optional, so omitting is type-safe. + _error_information = { + k: v for k, v in _error_information.items() if k != "traceback" + } _metadata["error_information"] = _error_information _metadata = await _ProxyDBLogger._enrich_failure_metadata_with_key_info( diff --git a/litellm/proxy/spend_tracking/spend_log_error_logger.py b/litellm/proxy/spend_tracking/spend_log_error_logger.py index bcb90f9bbd4..cfe647b6600 100644 --- a/litellm/proxy/spend_tracking/spend_log_error_logger.py +++ b/litellm/proxy/spend_tracking/spend_log_error_logger.py @@ -12,9 +12,12 @@ The opt-in is a single env var, ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS=true``, gated by ``should_suppress_spend_log_tracebacks``. When it returns ``True``: * ``spend_log_error`` drops the traceback from the console / structured log record (this module), and - * the failure callback in ``proxy_track_cost_callback`` blanks the - ``error_information.traceback`` field on the SpendLogs row before it is - persisted, so the UI's per-row Metadata pane stays clean. + * the failure callback in ``proxy_track_cost_callback`` drops the + ``error_information.traceback`` field from the SpendLogs row before it is + persisted, so the UI's per-row Metadata pane (which renders the metadata + JSON verbatim) stays clean. The key is omitted entirely rather than set + to ``""`` — ``StandardLoggingPayloadErrorInformation`` marks the field + optional and every downstream consumer uses ``.get("traceback")``. At DEBUG the full traceback is always preserved so operators can still troubleshoot. The UI suppression follows the same gate. diff --git a/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py b/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py index ad8c01db0a5..771e10a54a0 100644 --- a/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py +++ b/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py @@ -1043,12 +1043,14 @@ async def test_failure_hook_keeps_error_information_traceback_by_default(monkeyp @pytest.mark.asyncio -async def test_failure_hook_blanks_error_information_traceback_when_env_set( +async def test_failure_hook_drops_error_information_traceback_when_env_set( monkeypatch, ): - """With the opt-in env var, the traceback in the SpendLogs row is blanked - so the per-row Metadata pane in the UI stays clean. The other fields - (error_class / error_message / error_code) are preserved.""" + """With the opt-in env var, the traceback key is omitted from the + SpendLogs row entirely so the per-row Metadata pane in the UI (which + renders ``error_information`` as a JSON blob) doesn't show a noisy empty + ``"traceback": ""`` line. The other fields (error_class / error_message / + error_code) are preserved.""" import logging from litellm._logging import verbose_proxy_logger @@ -1062,6 +1064,6 @@ async def test_failure_hook_blanks_error_information_traceback_when_env_set( verbose_proxy_logger.setLevel(original_level) error_information = metadata["error_information"] - assert error_information["traceback"] == "" + assert "traceback" not in error_information assert error_information["error_class"] == "RuntimeError" assert error_information["error_message"] == "boom-with-traceback" From a1b4330c18e2fefc1b7ca3ff4652389da609aa8c Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 1 May 2026 21:05:50 -0700 Subject: [PATCH 088/160] fix: linting error --- litellm/proxy/hooks/proxy_track_cost_callback.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py index ad32b18a543..67f702e31a2 100644 --- a/litellm/proxy/hooks/proxy_track_cost_callback.py +++ b/litellm/proxy/hooks/proxy_track_cost_callback.py @@ -88,9 +88,7 @@ class _ProxyDBLogger(CustomLogger): # noisy ``"traceback": ""`` line. Downstream consumers all use # ``.get("traceback")`` / truthy checks, and the TypedDict marks # the field as optional, so omitting is type-safe. - _error_information = { - k: v for k, v in _error_information.items() if k != "traceback" - } + _error_information.pop("traceback", None) _metadata["error_information"] = _error_information _metadata = await _ProxyDBLogger._enrich_failure_metadata_with_key_info( From 8cf3bf11bd874c0621ccc4bb67bda2cb065d15d4 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sat, 2 May 2026 04:15:25 +0000 Subject: [PATCH 089/160] fix(scim): preserve scim_active on PUT when client omits the field MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A SCIM PUT may legally omit `active` (full-replace with the field absent). Pydantic fills the SCIMUser.active default of True, so the PUT handler was overwriting metadata.scim_active with True even when the client never sent it — silently reactivating a previously SCIM-blocked user and unblocking their keys. Use model_fields_set to detect whether the client actually sent `active`. If omitted, preserve the prior scim_active value and skip the cascade to virtual keys. Also drop comments added in this PR that just narrate what the code does; keep only the docstrings and the SQL-NULL pitfall note that explain non-obvious behaviour. Co-authored-by: Mateo Wang --- litellm/proxy/auth/user_api_key_auth.py | 4 - .../scim/scim_transformations.py | 3 - .../management_endpoints/scim/scim_v2.py | 58 ++++----- .../scim/test_scim_key_deactivation.py | 123 ++++++++++++++++++ 4 files changed, 147 insertions(+), 41 deletions(-) diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 0ad2fb22ff3..86081eb21aa 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -1307,10 +1307,6 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 ) user_obj = None - # Defense in depth for SCIM-deprovisioned users: even if a - # cached key snuck past the blocked-flag check, refuse the - # request when the owning user has been marked inactive by - # the SCIM provider. if ( user_obj is not None and isinstance(user_obj.metadata, dict) diff --git a/litellm/proxy/management_endpoints/scim/scim_transformations.py b/litellm/proxy/management_endpoints/scim/scim_transformations.py index 68c06173fdd..28fb87d9b3d 100644 --- a/litellm/proxy/management_endpoints/scim/scim_transformations.py +++ b/litellm/proxy/management_endpoints/scim/scim_transformations.py @@ -45,9 +45,6 @@ class ScimTransformations: if user.user_email and "@" in user.user_email: emails.append(SCIMUserEmail(value=user.user_email, primary=True)) - # Reflect SCIM-provider-controlled active state. Default to True for - # users that have never had the flag set (e.g. created before this - # field existed, or created outside SCIM). metadata = user.metadata or {} scim_active = metadata.get("scim_active") active = True if scim_active is None else bool(scim_active) diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py index 5692ed5bc5c..04699f19ffb 100644 --- a/litellm/proxy/management_endpoints/scim/scim_v2.py +++ b/litellm/proxy/management_endpoints/scim/scim_v2.py @@ -363,9 +363,9 @@ async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: prisma_client = await _get_prisma_client_or_raise_exception() if blocked: - # Block keys that aren't already blocked. `blocked` is a nullable column - # with no default so existing rows typically hold NULL; treat NULL as - # "not blocked" so SQL equality on NULL doesn't silently skip them. + # `blocked` is a nullable column with no default, so existing rows + # typically hold NULL; treat NULL as "not blocked" since SQL equality + # on NULL would otherwise silently skip them. candidates = await prisma_client.db.litellm_verificationtoken.find_many( where={ "user_id": user_id, @@ -374,8 +374,6 @@ async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: ) affected_keys = candidates else: - # Only unblock keys that SCIM previously blocked. An admin-managed - # block has no `scim_blocked` marker and must not be reversed here. candidates = await prisma_client.db.litellm_verificationtoken.find_many( where={"user_id": user_id, "blocked": True}, ) @@ -384,9 +382,6 @@ async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int: if not affected_keys: return 0 - # Per-key updates: we need to add/remove the SCIM-block marker in JSON - # metadata, which `update_many` can't express. Cardinality is bounded by - # the number of keys a single user owns. for key_row in affected_keys: current_metadata: Dict[str, Any] = ( dict(key_row.metadata) if isinstance(key_row.metadata, dict) else {} @@ -1048,47 +1043,49 @@ async def update_user( prev_active = _scim_active_value(existing_user.metadata) - # Extract data from SCIM user user_data = _extract_scim_user_data(user) - # Build metadata with SCIM data - metadata = _build_scim_metadata( - user_data["given_name"], user_data["family_name"], user_data["active"] + # SCIM PUT may legally omit `active` (full-replace with the field absent). + # Pydantic fills the model default, so distinguish "client sent active" + # from "client omitted it" via model_fields_set, and preserve the prior + # SCIM active state when omitted — otherwise a vanilla PUT to a + # deactivated user would silently re-enable them and unblock their keys. + client_set_active = "active" in user.model_fields_set + scim_active_for_metadata = ( + user_data["active"] if client_set_active else prev_active + ) + + metadata = _build_scim_metadata( + user_data["given_name"], + user_data["family_name"], + scim_active_for_metadata, ) - # Handle team membership changes await _handle_team_membership_changes( user_id=user_id, existing_teams=existing_user.teams or [], new_teams=user_data["teams"], ) - # Update user with all new data (full replacement) update_data = { "user_email": user_data["user_email"], "user_alias": user_data["user_alias"], "sso_user_id": user_data["sso_user_id"], "teams": user_data["teams"], - "metadata": metadata, + "metadata": safe_dumps(metadata), } - # Serialize metadata to JSON string for Prisma to avoid GraphQL parsing issues - if "metadata" in update_data and isinstance(update_data["metadata"], dict): - from litellm.litellm_core_utils.safe_json_dumps import safe_dumps - - update_data["metadata"] = safe_dumps(update_data["metadata"]) - updated_user = await prisma_client.db.litellm_usertable.update( where={"user_id": user_id}, data=update_data, ) - # Cascade SCIM active transitions to virtual keys (mirrors PATCH). - new_active = _scim_active_value(metadata) - if new_active is not None and new_active != ( - True if prev_active is None else prev_active - ): - await _set_user_keys_blocked(user_id=user_id, blocked=not new_active) + if client_set_active: + new_active = _scim_active_value(metadata) + if new_active is not None and new_active != ( + True if prev_active is None else prev_active + ): + await _set_user_keys_blocked(user_id=user_id, blocked=not new_active) # Convert back to SCIM format scim_user = await ScimTransformations.transform_litellm_user_to_scim_user( @@ -1136,10 +1133,6 @@ async def delete_user( where={"team_id": team.team_id}, data={"members": new_members} ) - # Block the user's virtual keys before deleting the user record. - # The user row going away leaves the keys orphaned; without this - # they'd keep working because the auth path silently tolerates a - # missing owner. await _set_user_keys_blocked(user_id=user_id, blocked=True) await _delete_rows_referencing_user(prisma_client, user_id=user_id) @@ -1406,9 +1399,6 @@ async def patch_user( data=update_data, ) - # Cascade SCIM active transitions to virtual keys. Treat "previously - # unset" as active=True so a first-time PATCH with active=false still - # blocks any pre-existing keys. if new_active is not None and new_active != ( True if prev_active is None else prev_active ): diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py index ad02c0e2a83..0a9cf8b84cb 100644 --- a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py +++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py @@ -14,6 +14,7 @@ from litellm.proxy.management_endpoints.scim.scim_v2 import ( _set_user_keys_blocked, delete_user, patch_user, + update_user, ) from litellm.types.proxy.management_endpoints.scim_v2 import ( SCIMPatchOp, @@ -418,3 +419,125 @@ async def test_scim_patch_user_no_active_change_does_not_touch_keys(): mock_db.litellm_verificationtoken.find_many.assert_not_called() mock_db.litellm_verificationtoken.update_many.assert_not_called() + + +def _build_put_user_payload(user_id: str, **overrides) -> dict: + payload = { + "schemas": ["urn:ietf:params:scim:schemas:core:2.0:User"], + "id": user_id, + "userName": user_id, + "name": {"givenName": "Y", "familyName": "X"}, + "emails": [{"value": "x@example.com", "primary": True}], + } + payload.update(overrides) + return payload + + +@pytest.mark.asyncio +async def test_scim_put_user_omitting_active_preserves_deactivated_state(): + """PUT without `active` must not silently reactivate a SCIM-deactivated user + nor unblock their SCIM-blocked keys.""" + user_id = "scim-user" + deactivated = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": False}, + ) + keys = [ + _build_token_row( + "hash-keep-blocked", user_id, blocked=True, metadata={"scim_blocked": True} + ) + ] + mock_client, mock_db = _build_prisma_with_keys( + keys, mock_user=deactivated, updated_user=deactivated + ) + + put_user = SCIMUser.model_validate(_build_put_user_payload(user_id)) + + mock_scim_user = SCIMUser( + schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], + id=user_id, + userName=user_id, + name=SCIMUserName(familyName="X", givenName="Y"), + emails=[SCIMUserEmail(value="x@example.com")], + active=False, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user", + AsyncMock(return_value=mock_scim_user), + ), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + await update_user(user_id=user_id, user=put_user) + + mock_db.litellm_verificationtoken.update.assert_not_called() + mock_db.litellm_verificationtoken.update_many.assert_not_called() + mock_db.litellm_usertable.update.assert_awaited_once() + update_kwargs = mock_db.litellm_usertable.update.await_args.kwargs + assert '"scim_active": false' in update_kwargs["data"]["metadata"] + + +@pytest.mark.asyncio +async def test_scim_put_user_explicit_active_false_blocks_keys(): + """PUT explicitly setting active=False on an active user must cascade to keys.""" + user_id = "scim-user" + active = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": True}, + ) + deactivated = LiteLLM_UserTable( + user_id=user_id, + user_email="x@example.com", + user_alias=None, + teams=[], + metadata={"scim_active": False, "scim_metadata": {}}, + ) + keys = [_build_token_row("hash-block-me", user_id, blocked=False)] + mock_client, mock_db = _build_prisma_with_keys( + keys, mock_user=active, updated_user=deactivated + ) + + put_user = SCIMUser.model_validate(_build_put_user_payload(user_id, active=False)) + + mock_scim_user = SCIMUser( + schemas=["urn:ietf:params:scim:schemas:core:2.0:User"], + id=user_id, + userName=user_id, + name=SCIMUserName(familyName="X", givenName="Y"), + emails=[SCIMUserEmail(value="x@example.com")], + active=False, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_client), + patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()), + patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user", + AsyncMock(return_value=mock_scim_user), + ), + patch( + "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object", + AsyncMock(), + ), + ): + await update_user(user_id=user_id, user=put_user) + + mock_db.litellm_verificationtoken.update.assert_awaited_once() + update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs + assert update_kwargs["where"] == {"token": "hash-block-me"} + assert update_kwargs["data"]["blocked"] is True + assert '"scim_blocked": true' in update_kwargs["data"]["metadata"] From d19dad954ec16c531dce05244478b2304d59b8b4 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 21:47:18 -0700 Subject: [PATCH 090/160] fix(proxy): use set lookup for permitted agent filters --- litellm/proxy/agent_endpoints/endpoints.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/agent_endpoints/endpoints.py b/litellm/proxy/agent_endpoints/endpoints.py index 32d9a7f2721..374c123c332 100644 --- a/litellm/proxy/agent_endpoints/endpoints.py +++ b/litellm/proxy/agent_endpoints/endpoints.py @@ -1005,8 +1005,9 @@ async def get_agent_daily_activity( permitted_agent_ids = [a.agent_id for a in owned_records] if agent_ids_list: + permitted_agent_id_set = set(permitted_agent_ids) agent_ids_list = [ - aid for aid in agent_ids_list if aid in permitted_agent_ids + aid for aid in agent_ids_list if aid in permitted_agent_id_set ] else: agent_ids_list = list(permitted_agent_ids) From 31d0d8599f497e05443d474b01f97d07bceccd13 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 21:47:18 -0700 Subject: [PATCH 091/160] fix(mcp): redact command fields for non-admin server views --- .../management_endpoints/mcp_management_endpoints.py | 2 ++ .../management_endpoints/test_mcp_management_endpoints.py | 8 ++++++++ 2 files changed, 10 insertions(+) diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index 173351ac8c5..7fc2b657955 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -501,6 +501,8 @@ if MCP_AVAILABLE: sanitized.static_headers = None sanitized.extra_headers = [] sanitized.env = {} + sanitized.command = None + sanitized.args = [] sanitized.authorization_url = None sanitized.token_url = None sanitized.registration_url = None diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py index ea8ac7730ef..24b8e1595b4 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py @@ -2931,6 +2931,8 @@ async def test_list_mcp_servers_non_admin_url_redacted(): server.static_headers = {"Authorization": "Bearer SUPER-SECRET-TOKEN"} server.env = {"API_KEY": "another-secret"} server.extra_headers = ["Authorization"] + server.command = "npx" + server.args = ["-y", "@sensitive/mcp"] server.authorization_url = "https://oauth.example.com/authorize?token=foo" server.token_url = "https://oauth.example.com/token" server.registration_url = "https://oauth.example.com/register" @@ -2969,6 +2971,8 @@ async def test_list_mcp_servers_non_admin_url_redacted(): assert s.static_headers is None assert s.env == {} assert s.extra_headers == [] + assert s.command is None + assert s.args == [] assert s.authorization_url is None assert s.token_url is None assert s.registration_url is None @@ -3038,6 +3042,8 @@ def test_sanitize_mcp_server_for_non_admin_clears_credential_fields(): server.spec_path = "https://example.com/specs/openapi-with-token.yaml" server.env = {"API_KEY": "y"} server.extra_headers = ["Authorization"] + server.command = "python" + server.args = ["server.py", "--token", "secret"] server.authorization_url = "https://idp/authorize" server.token_url = "https://idp/token" server.registration_url = "https://idp/register" @@ -3050,6 +3056,8 @@ def test_sanitize_mcp_server_for_non_admin_clears_credential_fields(): assert sanitized.static_headers is None assert sanitized.env == {} assert sanitized.extra_headers == [] + assert sanitized.command is None + assert sanitized.args == [] assert sanitized.authorization_url is None assert sanitized.token_url is None assert sanitized.registration_url is None From c01f20972354c625257ab797a6d66d4a37f49adb Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 21:50:57 -0700 Subject: [PATCH 092/160] fix(proxy): forward decoded container ids after ownership checks --- .../container_endpoints/handler_factory.py | 50 +++++++++++++------ .../test_azure_container_transformation.py | 18 ++++--- .../test_container_proxy_ownership.py | 16 +++--- 3 files changed, 54 insertions(+), 30 deletions(-) diff --git a/litellm/proxy/container_endpoints/handler_factory.py b/litellm/proxy/container_endpoints/handler_factory.py index f4887f812cb..4284cdd5d4a 100644 --- a/litellm/proxy/container_endpoints/handler_factory.py +++ b/litellm/proxy/container_endpoints/handler_factory.py @@ -19,7 +19,10 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( get_custom_llm_provider_from_request_headers, get_custom_llm_provider_from_request_query, ) -from litellm.proxy.container_endpoints.ownership import assert_user_can_access_container +from litellm.proxy.container_endpoints.ownership import ( + assert_user_can_access_container, + get_container_forwarding_params, +) def _load_endpoints_config() -> Dict: @@ -162,8 +165,9 @@ async def _process_binary_request( """ Process binary content requests through the standard proxy/router pipeline. - The router owns managed container ID decoding and deployment selection. This - handler only adapts the byte response to FastAPI. + Validate ownership before forwarding the provider-native container id through + the standard proxy/router pipeline. This handler only adapts the byte + response to FastAPI. """ from litellm.proxy.proxy_server import ( general_settings, @@ -185,15 +189,18 @@ async def _process_binary_request( or "openai" ) - await assert_user_can_access_container( + original_container_id, resolved_provider = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) data: Dict[str, Any] = { - "container_id": container_id, "file_id": file_id, - "custom_llm_provider": custom_llm_provider, + **get_container_forwarding_params( + container_id=container_id, + original_container_id=original_container_id, + custom_llm_provider=resolved_provider, + ), } processor = ProxyBaseLLMRequestProcessing(data=data) @@ -302,14 +309,19 @@ async def _process_multipart_upload_request( or "openai" ) - await assert_user_can_access_container( + original_container_id, resolved_provider = await assert_user_can_access_container( container_id=container_id, user_api_key_dict=user_api_key_dict, custom_llm_provider=custom_llm_provider, ) - data["container_id"] = container_id - data["custom_llm_provider"] = custom_llm_provider + data.update( + get_container_forwarding_params( + container_id=container_id, + original_container_id=original_container_id, + custom_llm_provider=resolved_provider, + ) + ) processor = ProxyBaseLLMRequestProcessing(data=data) try: @@ -376,12 +388,22 @@ async def _process_request( # Validate container_id ownership if present in path_params. if "container_id" in path_params: - await assert_user_can_access_container( - container_id=path_params["container_id"], - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, + original_container_id, resolved_provider = ( + await assert_user_can_access_container( + container_id=path_params["container_id"], + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) ) - data["custom_llm_provider"] = custom_llm_provider + data.update( + get_container_forwarding_params( + container_id=path_params["container_id"], + original_container_id=original_container_id, + custom_llm_provider=resolved_provider, + ) + ) + else: + data["custom_llm_provider"] = custom_llm_provider processor = ProxyBaseLLMRequestProcessing(data=data) try: diff --git a/tests/test_litellm/containers/test_azure_container_transformation.py b/tests/test_litellm/containers/test_azure_container_transformation.py index 9a3a8bc20a9..70181f6f03d 100644 --- a/tests/test_litellm/containers/test_azure_container_transformation.py +++ b/tests/test_litellm/containers/test_azure_container_transformation.py @@ -543,7 +543,7 @@ class TestAzureContainerKnownFailureRegressions: assert isinstance(c1, AzureContainerConfig) @pytest.mark.asyncio - async def test_proxy_process_request_preserves_managed_container_id( + async def test_proxy_process_request_forwards_decoded_container_id( self, monkeypatch ): from starlette.requests import Request @@ -607,9 +607,9 @@ class TestAzureContainerKnownFailureRegressions: access_check.assert_awaited_once() assert access_check.await_args.kwargs["container_id"] == encoded_id assert captured["route_type"] == "alist_container_files" - assert captured["data"]["container_id"] == encoded_id - assert captured["data"]["custom_llm_provider"] == "openai" - assert "model_id" not in captured["data"] + assert captured["data"]["container_id"] == "cntr_123" + assert captured["data"]["custom_llm_provider"] == "azure" + assert captured["data"]["model_id"] == "model_abc123" assert "api_base" not in captured["data"] @pytest.mark.asyncio @@ -679,9 +679,10 @@ class TestAzureContainerKnownFailureRegressions: access_check.assert_awaited_once() assert access_check.await_args.kwargs["container_id"] == encoded_id assert captured["route_type"] == "aretrieve_container_file_content" - assert captured["data"]["container_id"] == encoded_id + assert captured["data"]["container_id"] == "cntr_123" assert captured["data"]["file_id"] == "cfile_abc" - assert captured["data"]["custom_llm_provider"] == "openai" + assert captured["data"]["custom_llm_provider"] == "azure" + assert captured["data"]["model_id"] == "model_abc123" assert response.status_code == 200 assert response.body == b"csv-bytes" assert response.headers["x-litellm-call-id"] == "call-123" @@ -766,5 +767,6 @@ class TestAzureContainerKnownFailureRegressions: access_check.assert_awaited_once() assert access_check.await_args.kwargs["container_id"] == encoded_id assert captured["route_type"] == "aupload_container_file" - assert captured["data"]["container_id"] == encoded_id - assert captured["data"]["custom_llm_provider"] == "openai" + assert captured["data"]["container_id"] == "cntr_123" + assert captured["data"]["custom_llm_provider"] == "azure" + assert captured["data"]["model_id"] == "model_abc123" diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 63e5e16d0d6..2a760edf7db 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -632,7 +632,7 @@ async def test_should_include_memory_container_list_when_db_recovers_without_row @pytest.mark.asyncio -async def test_should_validate_owner_and_preserve_managed_id_for_proxy_forwarding( +async def test_should_validate_owner_and_forward_decoded_id_for_proxy_forwarding( monkeypatch, ): from litellm.proxy.container_endpoints import handler_factory @@ -691,13 +691,13 @@ async def test_should_validate_owner_and_preserve_managed_id_for_proxy_forwardin access_check.assert_awaited_once() assert access_check.await_args.kwargs["container_id"] == encoded_id - assert result["container_id"] == encoded_id - assert result["custom_llm_provider"] == "openai" - assert "model_id" not in result + assert result["container_id"] == "cntr_provider" + assert result["custom_llm_provider"] == "azure" + assert result["model_id"] == "router-gpt" @pytest.mark.asyncio -async def test_should_validate_owner_and_preserve_managed_id_for_multipart_upload( +async def test_should_validate_owner_and_forward_decoded_id_for_multipart_upload( monkeypatch, ): from litellm.proxy.common_utils import http_parsing_utils @@ -767,9 +767,9 @@ async def test_should_validate_owner_and_preserve_managed_id_for_multipart_uploa access_check.assert_awaited_once() assert access_check.await_args.kwargs["container_id"] == encoded_id - assert result["container_id"] == encoded_id - assert result["custom_llm_provider"] == "openai" - assert "model_id" not in result + assert result["container_id"] == "cntr_provider" + assert result["custom_llm_provider"] == "azure" + assert result["model_id"] == "router-gpt" assert result["file"] == "file-data" From 8cb52ce0bbcae4d1e421796224543a4c118fa41f Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Fri, 1 May 2026 22:15:03 -0700 Subject: [PATCH 093/160] fix(caching): handle stale isolated Redis semantic index --- litellm/caching/redis_semantic_cache.py | 38 +++++++--- .../caching/test_redis_semantic_cache.py | 73 +++++++++++++++++++ 2 files changed, 102 insertions(+), 9 deletions(-) diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py index 85d3a4f1b4b..27538530bca 100644 --- a/litellm/caching/redis_semantic_cache.py +++ b/litellm/caching/redis_semantic_cache.py @@ -128,6 +128,9 @@ class RedisSemanticCache(BaseCache): redis_url: str, cache_vectorizer: Any, ) -> Any: + def _is_schema_mismatch(exc: ValueError) -> bool: + return "schema does not match" in str(exc) + try: return semantic_cache_cls( name=index_name, @@ -138,7 +141,7 @@ class RedisSemanticCache(BaseCache): overwrite=False, ) except ValueError as exc: - if "schema does not match" not in str(exc): + if not _is_schema_mismatch(exc): raise isolated_index_name = f"{index_name}_isolated" @@ -146,14 +149,31 @@ class RedisSemanticCache(BaseCache): "Redis semantic-cache existing index schema is not isolated; " f"using isolated index - {isolated_index_name}" ) - return semantic_cache_cls( - name=isolated_index_name, - redis_url=redis_url, - vectorizer=cache_vectorizer, - distance_threshold=self.distance_threshold, - filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], - overwrite=False, - ) + try: + return semantic_cache_cls( + name=isolated_index_name, + redis_url=redis_url, + vectorizer=cache_vectorizer, + distance_threshold=self.distance_threshold, + filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + overwrite=False, + ) + except ValueError as isolated_exc: + if not _is_schema_mismatch(isolated_exc): + raise + + print_verbose( + "Redis semantic-cache isolated index schema is stale; " + f"recreating isolated index - {isolated_index_name}" + ) + return semantic_cache_cls( + name=isolated_index_name, + redis_url=redis_url, + vectorizer=cache_vectorizer, + distance_threshold=self.distance_threshold, + filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + overwrite=True, + ) def _get_cache_filters(self, key: str) -> Dict[str, str]: return {self.CACHE_KEY_FIELD_NAME: str(key)} diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index f5c84c9d3ef..02b06bed62d 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -232,6 +232,79 @@ def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch): ] +def test_redis_semantic_cache_overwrites_stale_isolated_index(monkeypatch): + fallback_cache_mock = MagicMock() + semantic_cache_mock = MagicMock( + side_effect=[ + ValueError("Existing index schema does not match"), + ValueError("Existing index schema does not match"), + fallback_cache_mock, + ] + ) + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + redis_semantic_cache = RedisSemanticCache( + similarity_threshold=0.8, + index_name="existing_index", + ) + + assert redis_semantic_cache.llmcache is fallback_cache_mock + assert ( + semantic_cache_mock.call_args_list[2].kwargs["name"] + == "existing_index_isolated" + ) + assert semantic_cache_mock.call_args_list[2].kwargs["overwrite"] is True + assert semantic_cache_mock.call_args_list[2].kwargs["filterable_fields"] == [ + RedisSemanticCache.CACHE_KEY_FILTERABLE_FIELD + ] + + +def test_redis_semantic_cache_reraises_unexpected_isolated_index_error(monkeypatch): + semantic_cache_mock = MagicMock( + side_effect=[ + ValueError("Existing index schema does not match"), + ValueError("connection failed"), + ] + ) + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + + with pytest.raises(ValueError, match="connection failed"): + RedisSemanticCache( + similarity_threshold=0.8, + index_name="existing_index", + ) + + def test_redis_semantic_cache_reraises_unexpected_index_error(): from litellm.caching.redis_semantic_cache import RedisSemanticCache From de28a4f352bd5f1267973615e4ddbac6742630c2 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sat, 2 May 2026 09:08:36 +0000 Subject: [PATCH 094/160] fix(security): sandbox jinja2 in gitlab/arize/bitbucket prompt managers DotpromptManager was hardened to render through ImmutableSandboxedEnvironment. The three sibling managers (gitlab, arize, bitbucket) were missed and still instantiate plain jinja2.Environment(), leaving the same attribute-traversal SSTI primitive open: a template fetched from a GitLab/BitBucket repo or Arize Phoenix workspace can reach __class__.__init__.__globals__ and execute arbitrary Python on the proxy host. Match the dotprompt pattern by switching all three to ImmutableSandboxedEnvironment. The sandbox blocks the dunder-traversal chain while leaving normal {{ var }} substitution intact, so the template surface is unchanged for legitimate use. Adds tests/test_litellm/integrations/test_prompt_manager_ssti.py (18 cases) verifying each manager's jinja_env is a sandbox, that classic SSTI payloads raise SecurityError, and that ordinary variable rendering still works. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../arize/arize_phoenix_prompt_manager.py | 11 +- .../bitbucket/bitbucket_prompt_manager.py | 11 +- .../gitlab/gitlab_prompt_manager.py | 11 +- .../integrations/test_prompt_manager_ssti.py | 125 ++++++++++++++++++ 4 files changed, 152 insertions(+), 6 deletions(-) create mode 100644 tests/test_litellm/integrations/test_prompt_manager_ssti.py diff --git a/litellm/integrations/arize/arize_phoenix_prompt_manager.py b/litellm/integrations/arize/arize_phoenix_prompt_manager.py index 19af0bb9552..df56d7bd391 100644 --- a/litellm/integrations/arize/arize_phoenix_prompt_manager.py +++ b/litellm/integrations/arize/arize_phoenix_prompt_manager.py @@ -5,7 +5,8 @@ Fetches prompt versions from Arize Phoenix and provides workspace-based access c from typing import Any, Dict, List, Optional, Tuple, Union -from jinja2 import DictLoader, Environment, select_autoescape +from jinja2 import DictLoader, select_autoescape +from jinja2.sandbox import ImmutableSandboxedEnvironment from litellm.integrations.custom_prompt_management import CustomPromptManagement from litellm.integrations.prompt_management_base import ( @@ -74,7 +75,13 @@ class ArizePhoenixTemplateManager: api_key=self.api_key, api_base=self.api_base ) - self.jinja_env = Environment( + # Templates fetched from Arize Phoenix come from external workspace + # users; in a plain `Environment()` a malicious template could reach + # `__class__.__init__.__globals__` and execute arbitrary code on the + # proxy host. The sandbox blocks that attribute traversal while + # leaving normal `{{ var }}` substitution intact. Matches the + # dotprompt manager's hardening. + self.jinja_env = ImmutableSandboxedEnvironment( loader=DictLoader({}), autoescape=select_autoescape(["html", "xml"]), # Use Mustache/Handlebars-style delimiters diff --git a/litellm/integrations/bitbucket/bitbucket_prompt_manager.py b/litellm/integrations/bitbucket/bitbucket_prompt_manager.py index 701f2273640..844fa9f38cb 100644 --- a/litellm/integrations/bitbucket/bitbucket_prompt_manager.py +++ b/litellm/integrations/bitbucket/bitbucket_prompt_manager.py @@ -5,7 +5,8 @@ Fetches .prompt files from BitBucket repositories and provides team-based access from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union -from jinja2 import DictLoader, Environment, select_autoescape +from jinja2 import DictLoader, select_autoescape +from jinja2.sandbox import ImmutableSandboxedEnvironment from litellm.integrations.custom_prompt_management import CustomPromptManagement @@ -74,7 +75,13 @@ class BitBucketTemplateManager: self.prompts: Dict[str, BitBucketPromptTemplate] = {} self.bitbucket_client = BitBucketClient(bitbucket_config) - self.jinja_env = Environment( + # Templates fetched from a BitBucket repo are not trustworthy: + # anyone with repo write access can ship Jinja syntax that, in a + # plain `Environment()`, would reach `__class__.__init__.__globals__` + # and pivot into RCE on the proxy host. The sandbox blocks that + # attribute traversal while leaving normal `{{ var }}` substitution + # intact. Matches the dotprompt manager's hardening. + self.jinja_env = ImmutableSandboxedEnvironment( loader=DictLoader({}), autoescape=select_autoescape(["html", "xml"]), # Use Handlebars-style delimiters to match Dotprompt spec diff --git a/litellm/integrations/gitlab/gitlab_prompt_manager.py b/litellm/integrations/gitlab/gitlab_prompt_manager.py index b073948d768..a468741aead 100644 --- a/litellm/integrations/gitlab/gitlab_prompt_manager.py +++ b/litellm/integrations/gitlab/gitlab_prompt_manager.py @@ -4,7 +4,8 @@ GitLab prompt manager with configurable prompts folder. from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union -from jinja2 import DictLoader, Environment, select_autoescape +from jinja2 import DictLoader, select_autoescape +from jinja2.sandbox import ImmutableSandboxedEnvironment from litellm.integrations.custom_prompt_management import CustomPromptManagement @@ -90,7 +91,13 @@ class GitLabTemplateManager: or "" ).strip("/") - self.jinja_env = Environment( + # Templates fetched from a GitLab repo are not trustworthy: + # anyone with repo write access can ship Jinja syntax that, in a + # plain `Environment()`, would reach `__class__.__init__.__globals__` + # and pivot into RCE on the proxy host. The sandbox blocks that + # attribute traversal while leaving normal `{{ var }}` substitution + # intact. Matches the dotprompt manager's hardening. + self.jinja_env = ImmutableSandboxedEnvironment( loader=DictLoader({}), autoescape=select_autoescape(["html", "xml"]), variable_start_string="{{", diff --git a/tests/test_litellm/integrations/test_prompt_manager_ssti.py b/tests/test_litellm/integrations/test_prompt_manager_ssti.py new file mode 100644 index 00000000000..613125a8d05 --- /dev/null +++ b/tests/test_litellm/integrations/test_prompt_manager_ssti.py @@ -0,0 +1,125 @@ +"""SSTI regression coverage for non-dotprompt prompt managers. + +DotpromptManager was hardened to render through +``ImmutableSandboxedEnvironment``. The sibling managers (gitlab, arize, +bitbucket) ship the exact same attacker-controlled-template surface — +repository write access or workspace edit access turns into RCE on the +proxy host if the renderer is unsandboxed. This suite locks in the sandbox +so the regression can't recur. +""" + +from unittest.mock import MagicMock + +import pytest +from jinja2.exceptions import SecurityError +from jinja2.sandbox import ImmutableSandboxedEnvironment + +from litellm.integrations.arize.arize_phoenix_prompt_manager import ( + ArizePhoenixTemplateManager, +) +from litellm.integrations.bitbucket.bitbucket_prompt_manager import ( + BitBucketTemplateManager, +) +from litellm.integrations.gitlab.gitlab_prompt_manager import GitLabTemplateManager + +# Classic Jinja2 SSTI payloads. Any one of these rendering as anything other +# than the literal string (or raising) means the sandbox isn't engaged. +_SSTI_PAYLOADS = [ + "{{ ''.__class__.__mro__[1].__subclasses__() }}", + "{{ config.__class__.__init__.__globals__['os'].popen('id').read() }}", + "{{ cycler.__init__.__globals__.os.popen('id').read() }}", + "{{ ().__class__.__bases__[0].__subclasses__() }}", +] + + +def _build_gitlab_manager() -> GitLabTemplateManager: + # The constructor calls into a GitLab client when prompt_id is set; pass + # None so __init__ stops at jinja_env construction and we can assert on it. + return GitLabTemplateManager( + gitlab_config={"project": "p", "access_token": "t", "branch": "main"}, + prompt_id=None, + gitlab_client=MagicMock(), + ) + + +def _build_bitbucket_manager(monkeypatch) -> BitBucketTemplateManager: + # Stub the BitBucket client so we don't need network or real config. + from litellm.integrations.bitbucket import bitbucket_prompt_manager + + monkeypatch.setattr( + bitbucket_prompt_manager, "BitBucketClient", lambda *a, **kw: MagicMock() + ) + return BitBucketTemplateManager( + bitbucket_config={"workspace": "w", "repository": "r", "access_token": "t"}, + prompt_id=None, + ) + + +def _build_arize_manager(monkeypatch) -> ArizePhoenixTemplateManager: + from litellm.integrations.arize import arize_phoenix_prompt_manager + + monkeypatch.setattr( + arize_phoenix_prompt_manager, "ArizePhoenixClient", lambda *a, **kw: MagicMock() + ) + return ArizePhoenixTemplateManager( + api_key="k", + api_base="https://example.test", + prompt_id=None, + ) + + +@pytest.mark.parametrize( + "manager_factory", + [ + ("gitlab", lambda mp: _build_gitlab_manager()), + ("bitbucket", _build_bitbucket_manager), + ("arize", _build_arize_manager), + ], + ids=lambda v: v[0] if isinstance(v, tuple) else v, +) +def test_jinja_env_is_sandboxed(manager_factory, monkeypatch): + """Each prompt manager must render via ``ImmutableSandboxedEnvironment``.""" + _, factory = manager_factory + manager = factory(monkeypatch) + assert isinstance(manager.jinja_env, ImmutableSandboxedEnvironment) + + +@pytest.mark.parametrize( + "manager_factory", + [ + ("gitlab", lambda mp: _build_gitlab_manager()), + ("bitbucket", _build_bitbucket_manager), + ("arize", _build_arize_manager), + ], + ids=lambda v: v[0] if isinstance(v, tuple) else v, +) +@pytest.mark.parametrize("payload", _SSTI_PAYLOADS) +def test_jinja_env_blocks_ssti_payloads(manager_factory, payload, monkeypatch): + """Attribute-traversal payloads must raise ``SecurityError`` at render time. + + A plain ``Environment()`` would happily evaluate these and execute + arbitrary Python on the proxy host. + """ + _, factory = manager_factory + manager = factory(monkeypatch) + template = manager.jinja_env.from_string(payload) + with pytest.raises(SecurityError): + template.render() + + +@pytest.mark.parametrize( + "manager_factory", + [ + ("gitlab", lambda mp: _build_gitlab_manager()), + ("bitbucket", _build_bitbucket_manager), + ("arize", _build_arize_manager), + ], + ids=lambda v: v[0] if isinstance(v, tuple) else v, +) +def test_jinja_env_still_renders_normal_variables(manager_factory, monkeypatch): + """The sandbox is a strict superset for the legitimate use case — plain + ``{{ var }}`` substitution must keep working unchanged.""" + _, factory = manager_factory + manager = factory(monkeypatch) + template = manager.jinja_env.from_string("Hello {{ name }}!") + assert template.render(name="world") == "Hello world!" From e71aeadea02d90b0c5bbb50bba69024bd4efe88c Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 01:35:23 +0000 Subject: [PATCH 095/160] chore(proxy): drop client-supplied pricing fields from request bodies MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The proxy currently forwards request-body pricing parameters (the fields on `CustomPricingLiteLLMParams`, plus `metadata.model_info`) into the core call path. Those fields belong to deployment configuration, not to per-request input — sending them from a client mutates the request's recorded cost and, via `litellm.completion` → `register_model`, the process-wide `litellm.model_cost` map for every later caller in the worker. Strip them at the boundary. The strip set is built from `CustomPricingLiteLLMParams.model_fields` so pricing fields added later are covered automatically. Operators who do want clients to supply per-request pricing can opt back in per key or team via `metadata.allow_client_pricing_override = true`, mirroring the existing `allow_client_mock_response` and `allow_client_message_redaction_opt_out` flags. Tests cover the strip set's coverage, root and metadata strips, the opt-in skip on both key and team metadata, and a regression check that the global `litellm.model_cost` map is unmutated after a stripped request. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/litellm_pre_call_utils.py | 42 +++ .../proxy/test_pricing_field_strip.py | 248 ++++++++++++++++++ 2 files changed, 290 insertions(+) create mode 100644 tests/test_litellm/proxy/test_pricing_field_strip.py diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 853c56856fc..c09cce64768 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -60,6 +60,7 @@ from litellm.secret_managers.main import get_secret_bool from litellm.types.llms.anthropic import ANTHROPIC_API_HEADERS from litellm.types.services import ServiceTypes from litellm.types.utils import ( + CustomPricingLiteLLMParams, LlmProviders, ProviderSpecificHeader, StandardLoggingUserAPIKeyMetadata, @@ -154,6 +155,20 @@ _ALLOW_CLIENT_MESSAGE_REDACTION_OPT_OUT_METADATA_KEY = ( "allow_client_message_redaction_opt_out" ) +# Per-request pricing parameters mutate cost-tracking output and (via +# ``litellm.completion`` → ``register_model``) the process-wide +# ``litellm.model_cost`` map. Both effects belong to deployment configuration, +# not to user-supplied request bodies, so the proxy strips them before they +# reach the call path. Built from the Pydantic model so newly-added pricing +# fields are covered automatically. +_CLIENT_PRICING_CONTROL_FIELDS = frozenset( + CustomPricingLiteLLMParams.model_fields.keys() +) +# ``model_info`` carries the same pricing fields when read by +# ``use_custom_pricing_for_model``; strip from metadata for the same reason. +_CLIENT_PRICING_METADATA_FIELDS = frozenset({"model_info"}) +_ALLOW_CLIENT_PRICING_OVERRIDE_METADATA_KEY = "allow_client_pricing_override" + def _strip_untrusted_request_header_controls( headers: Any, @@ -212,6 +227,31 @@ def _key_or_team_allows_client_message_redaction_opt_out( ) +def _key_or_team_allows_client_pricing_override( + user_api_key_dict: UserAPIKeyAuth, +) -> bool: + return _key_or_team_metadata_flag_is_true( + user_api_key_dict=user_api_key_dict, + metadata_key=_ALLOW_CLIENT_PRICING_OVERRIDE_METADATA_KEY, + ) + + +def _strip_client_pricing_overrides(data: Dict[str, Any]) -> None: + """Drop pricing overrides from the request body and any metadata variant. + + Skipped only when the calling key/team carries + ``allow_client_pricing_override: True`` in its metadata. + """ + for field in _CLIENT_PRICING_CONTROL_FIELDS: + data.pop(field, None) + for metadata_key in ("metadata", "litellm_metadata"): + metadata = data.get(metadata_key) + if not isinstance(metadata, dict): + continue + for field in _CLIENT_PRICING_METADATA_FIELDS: + metadata.pop(field, None) + + def _get_metadata_variable_name(request: Request) -> str: """ Helper to return what the "metadata" field should be called in the request data @@ -1109,6 +1149,8 @@ async def add_litellm_data_to_request( # noqa: PLR0915 if _allow_client_mock_response and _internal_key in _CLIENT_MOCK_CONTROL_FIELDS: continue data.pop(_internal_key, None) + if not _key_or_team_allows_client_pricing_override(user_api_key_dict): + _strip_client_pricing_overrides(data) # Strip spoofable auth metadata from user-supplied metadata dict _user_metadata = data.get("metadata") if isinstance(_user_metadata, dict): diff --git a/tests/test_litellm/proxy/test_pricing_field_strip.py b/tests/test_litellm/proxy/test_pricing_field_strip.py new file mode 100644 index 00000000000..63dde7a56b3 --- /dev/null +++ b/tests/test_litellm/proxy/test_pricing_field_strip.py @@ -0,0 +1,248 @@ +"""Proxy strips client-supplied pricing parameters from request bodies. + +`litellm.completion` accepts pricing fields (`input_cost_per_token`, +`output_cost_per_token`, the rest of `CustomPricingLiteLLMParams`, +`metadata.model_info`) as part of its kwarg surface. On direct SDK use that +is intentional. On the proxy, those same fields would let any caller rewrite +their own per-request cost and — via `litellm.register_model` — mutate +`litellm.model_cost` for every subsequent caller in the worker. The proxy +strips them at the boundary; an opt-in key/team flag preserves the override +for operators who actually want it. +""" + +import os +import sys +from unittest.mock import MagicMock + +import pytest +from fastapi import Request + +import litellm +from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.litellm_pre_call_utils import ( + _CLIENT_PRICING_CONTROL_FIELDS, + _CLIENT_PRICING_METADATA_FIELDS, + _strip_client_pricing_overrides, + add_litellm_data_to_request, +) +from litellm.types.utils import CustomPricingLiteLLMParams + +sys.path.insert(0, os.path.abspath("../../..")) + + +def _make_request_mock() -> Request: + request_mock = MagicMock(spec=Request) + request_mock.url.path = "/v1/chat/completions" + request_mock.url = MagicMock() + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = {"Content-Type": "application/json"} + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + return request_mock + + +def _user_api_key_auth(metadata=None, team_metadata=None) -> UserAPIKeyAuth: + return UserAPIKeyAuth( + api_key="hashed-key", + metadata=metadata or {}, + team_metadata=team_metadata or {}, + spend=0.0, + max_budget=100.0, + model_max_budget={}, + team_spend=0.0, + team_max_budget=200.0, + ) + + +class TestStripClientPricingOverrides: + def test_pricing_field_set_tracks_pydantic_model(self): + # The strip set is built from the model so additions are picked up + # automatically — this test guards against the model and the strip + # set drifting apart if someone replaces the auto-derivation later. + assert _CLIENT_PRICING_CONTROL_FIELDS == frozenset( + CustomPricingLiteLLMParams.model_fields.keys() + ) + # Sanity: the obvious top-level pricing fields are in the set. + for field in ( + "input_cost_per_token", + "output_cost_per_token", + "input_cost_per_second", + "cache_creation_input_token_cost", + ): + assert field in _CLIENT_PRICING_CONTROL_FIELDS + + def test_root_pricing_fields_dropped(self): + data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "input_cost_per_token": 0.0, + "output_cost_per_token": 0.0, + "cache_creation_input_token_cost": 0.0, + } + _strip_client_pricing_overrides(data) + assert data == { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + } + + def test_metadata_model_info_dropped(self): + data = { + "model": "gpt-4", + "metadata": { + "user_session": "keep-me", + "model_info": {"input_cost_per_token": 0.0}, + }, + "litellm_metadata": { + "model_info": {"output_cost_per_token": 0.0}, + }, + } + _strip_client_pricing_overrides(data) + assert data["metadata"] == {"user_session": "keep-me"} + assert data["litellm_metadata"] == {} + + def test_non_pricing_fields_untouched(self): + data = { + "model": "gpt-4", + "temperature": 0.7, + "max_tokens": 100, + "tools": [{"type": "function"}], + "metadata": {"trace_id": "abc"}, + } + snapshot = { + "model": "gpt-4", + "temperature": 0.7, + "max_tokens": 100, + "tools": [{"type": "function"}], + "metadata": {"trace_id": "abc"}, + } + _strip_client_pricing_overrides(data) + assert data == snapshot + + def test_metadata_strip_handles_non_dict_metadata(self): + # Defensive — Pydantic validation would normally reject non-dict + # metadata, but the strip mustn't crash if a malformed body sneaks in. + _strip_client_pricing_overrides({"metadata": "not-a-dict"}) + _strip_client_pricing_overrides({"metadata": None}) + _strip_client_pricing_overrides({"litellm_metadata": ["a", "b"]}) + + def test_metadata_field_set_contains_model_info(self): + assert "model_info" in _CLIENT_PRICING_METADATA_FIELDS + + +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_strips_root_pricing_fields(): + data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "input_cost_per_token": 0.0, + "output_cost_per_token": 0.0, + } + + updated = await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=_user_api_key_auth(), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert "input_cost_per_token" not in updated + assert "output_cost_per_token" not in updated + + +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_strips_metadata_model_info(): + data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "metadata": {"model_info": {"input_cost_per_token": 0.0}}, + } + + updated = await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=_user_api_key_auth(), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert "model_info" not in updated.get("metadata", {}) + + +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_skips_strip_with_key_opt_in(): + data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "input_cost_per_token": 0.0001, + "metadata": {"model_info": {"output_cost_per_token": 0.0002}}, + } + + user_auth = _user_api_key_auth(metadata={"allow_client_pricing_override": True}) + updated = await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=user_auth, + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert updated["input_cost_per_token"] == 0.0001 + assert updated["metadata"]["model_info"] == {"output_cost_per_token": 0.0002} + + +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_skips_strip_with_team_opt_in(): + data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "input_cost_per_token": 0.0001, + } + + user_auth = _user_api_key_auth( + team_metadata={"allow_client_pricing_override": True} + ) + updated = await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=user_auth, + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert updated["input_cost_per_token"] == 0.0001 + + +@pytest.mark.asyncio +async def test_global_model_cost_unmutated_after_stripped_request(monkeypatch): + """After a stripped request, ``litellm.model_cost`` must not carry the + caller's submitted pricing for the model. The mutation only happens when + the pricing fields reach ``litellm.completion``; the strip prevents that.""" + snapshot = dict(litellm.model_cost) + data = { + "model": "test-pricing-canary-model", + "messages": [{"role": "user", "content": "hi"}], + "input_cost_per_token": 0.0, + "output_cost_per_token": 0.0, + } + + await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=_user_api_key_auth(), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + # The strip prevents the pricing fields from ever reaching the path that + # would mutate the global model_cost map. + assert "test-pricing-canary-model" not in litellm.model_cost + # And no other entries were mutated as a side effect. + assert litellm.model_cost == snapshot From 25671105e22ee0afec79ddeb80d2db5f1ee5e3c3 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 01:56:43 +0000 Subject: [PATCH 096/160] chore(proxy): log stripped pricing fields at debug for operator visibility Operators upgrading would otherwise see client-supplied pricing overrides silently stop applying with no diagnostic. Emit a debug-level line listing the dropped fields and pointing at the opt-in flag when any are stripped; stay silent on the no-op path so the log isn't filled with noise. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/litellm_pre_call_utils.py | 21 +++++++++-- .../proxy/test_pricing_field_strip.py | 35 +++++++++++++++++++ 2 files changed, 53 insertions(+), 3 deletions(-) diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index c09cce64768..ac32d18aa8d 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -240,16 +240,31 @@ def _strip_client_pricing_overrides(data: Dict[str, Any]) -> None: """Drop pricing overrides from the request body and any metadata variant. Skipped only when the calling key/team carries - ``allow_client_pricing_override: True`` in its metadata. + ``allow_client_pricing_override: True`` in its metadata. Emits a + ``debug``-level log line naming the dropped fields so operators can + trace why a client-supplied pricing override stopped being applied + (otherwise the strip is invisible from the caller's perspective). """ + stripped: List[str] = [] for field in _CLIENT_PRICING_CONTROL_FIELDS: - data.pop(field, None) + if field in data: + stripped.append(field) + data.pop(field, None) for metadata_key in ("metadata", "litellm_metadata"): metadata = data.get(metadata_key) if not isinstance(metadata, dict): continue for field in _CLIENT_PRICING_METADATA_FIELDS: - metadata.pop(field, None) + if field in metadata: + stripped.append(f"{metadata_key}.{field}") + metadata.pop(field, None) + if stripped: + verbose_proxy_logger.debug( + "Stripped client-supplied pricing fields from request body: %s. " + "Set `allow_client_pricing_override: true` on the key or team " + "metadata to keep these values.", + ", ".join(stripped), + ) def _get_metadata_variable_name(request: Request) -> str: diff --git a/tests/test_litellm/proxy/test_pricing_field_strip.py b/tests/test_litellm/proxy/test_pricing_field_strip.py index 63dde7a56b3..881a44e93cd 100644 --- a/tests/test_litellm/proxy/test_pricing_field_strip.py +++ b/tests/test_litellm/proxy/test_pricing_field_strip.py @@ -130,6 +130,41 @@ class TestStripClientPricingOverrides: def test_metadata_field_set_contains_model_info(self): assert "model_info" in _CLIENT_PRICING_METADATA_FIELDS + def test_strip_emits_debug_log_listing_dropped_fields(self, caplog): + # Operators need a paper trail so they can diagnose why a previously + # working override stopped applying after the strip landed. + import logging + + from litellm._logging import verbose_proxy_logger + + verbose_proxy_logger.setLevel(logging.DEBUG) + with caplog.at_level(logging.DEBUG, logger=verbose_proxy_logger.name): + _strip_client_pricing_overrides( + { + "model": "gpt-4", + "input_cost_per_token": 0.0, + "metadata": {"model_info": {"output_cost_per_token": 0.0}}, + } + ) + log_text = " ".join(record.getMessage() for record in caplog.records) + assert "input_cost_per_token" in log_text + assert "metadata.model_info" in log_text + assert "allow_client_pricing_override" in log_text + + def test_strip_does_not_log_when_no_fields_present(self, caplog): + # No-op strips must stay silent so the log isn't filled with noise on + # every legitimate request. + import logging + + from litellm._logging import verbose_proxy_logger + + verbose_proxy_logger.setLevel(logging.DEBUG) + with caplog.at_level(logging.DEBUG, logger=verbose_proxy_logger.name): + _strip_client_pricing_overrides({"model": "gpt-4", "temperature": 0.7}) + assert not any( + "pricing" in record.getMessage().lower() for record in caplog.records + ) + @pytest.mark.asyncio async def test_add_litellm_data_to_request_strips_root_pricing_fields(): From 4b4b4a79b9216d7cd808f4bb277ac8223359dd52 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 02:04:05 +0000 Subject: [PATCH 097/160] fix(proxy): move pricing strip below the litellm_metadata JSON-string parse The strip ran before the proxy parses ``litellm_metadata`` from a JSON string into a dict (a path used by multipart/form-data and ``extra_body`` callers), so ``isinstance(metadata, dict)`` was False and ``model_info`` survived the strip. Move the call to the same post-parse position the ``user_api_key_*`` strip already uses for the same reason. Adds a regression test exercising the JSON-string ``litellm_metadata`` path. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/litellm_pre_call_utils.py | 10 +++++-- .../proxy/test_pricing_field_strip.py | 29 +++++++++++++++++++ 2 files changed, 37 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index ac32d18aa8d..7e0054b33f0 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -1164,8 +1164,6 @@ async def add_litellm_data_to_request( # noqa: PLR0915 if _allow_client_mock_response and _internal_key in _CLIENT_MOCK_CONTROL_FIELDS: continue data.pop(_internal_key, None) - if not _key_or_team_allows_client_pricing_override(user_api_key_dict): - _strip_client_pricing_overrides(data) # Strip spoofable auth metadata from user-supplied metadata dict _user_metadata = data.get("metadata") if isinstance(_user_metadata, dict): @@ -1367,6 +1365,14 @@ async def add_litellm_data_to_request( # noqa: PLR0915 ]: _user_meta.pop(_k, None) + # Strip pricing overrides AFTER the litellm_metadata string-to-dict parse + # above, for the same reason as the user_api_key_* strip — JSON-string + # metadata (sent via multipart/form-data or extra_body) wouldn't be a + # dict yet at the earlier strip point and the isinstance(dict) guard + # would silently skip the field. + if not _key_or_team_allows_client_pricing_override(user_api_key_dict): + _strip_client_pricing_overrides(data) + # Strip caller-supplied routing/budget tags unless the admin has opted # this key or team in via metadata.allow_client_tags=True. Tags drive # tag-based routing and tag budget attribution — accepting them from diff --git a/tests/test_litellm/proxy/test_pricing_field_strip.py b/tests/test_litellm/proxy/test_pricing_field_strip.py index 881a44e93cd..b73504b8967 100644 --- a/tests/test_litellm/proxy/test_pricing_field_strip.py +++ b/tests/test_litellm/proxy/test_pricing_field_strip.py @@ -231,6 +231,35 @@ async def test_add_litellm_data_to_request_skips_strip_with_key_opt_in(): assert updated["metadata"]["model_info"] == {"output_cost_per_token": 0.0002} +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_strips_json_string_litellm_metadata(): + """``litellm_metadata`` may arrive as a JSON-encoded string (multipart/ + form-data or ``extra_body``). The strip has to run after the proxy parses + it into a dict; otherwise the ``isinstance(dict)`` guard skips the field + and ``model_info`` survives the strip via the string path. + """ + import json + + data = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "litellm_metadata": json.dumps({"model_info": {"input_cost_per_token": 0.0}}), + } + + updated = await add_litellm_data_to_request( + data=data, + request=_make_request_mock(), + user_api_key_dict=_user_api_key_auth(), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + parsed_metadata = updated.get("litellm_metadata") + assert isinstance(parsed_metadata, dict) + assert "model_info" not in parsed_metadata + + @pytest.mark.asyncio async def test_add_litellm_data_to_request_skips_strip_with_team_opt_in(): data = { From 2e6965381e683bcc2d8f6bb4497b6b9da888e74d Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 07:48:56 +0000 Subject: [PATCH 098/160] test(responses): replace legacy claude-4-sonnet alias in multiturn tool-call test Anthropic's main API no longer resolves the non-canonical 'claude-4-sonnet-20250514' alias for freshly issued keys, returning 404 not_found_error. PR #27031 already swept three other live tests pinned to this alias to claude-haiku-4-5-20251001 but missed test_multiturn_tool_calls in the responses API suite, which is now failing reliably on PR CI runs (e.g. PR #27074, job 1603363). Bump the two model references in test_multiturn_tool_calls to the same claude-haiku-4-5-20251001 snapshot used by PR #27031 -- it covers everything this test exercises (tool calling, multi-turn) and isn't on a deprecation schedule. Co-authored-by: Mateo Wang --- .../llm_responses_api_testing/test_anthropic_responses_api.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/llm_responses_api_testing/test_anthropic_responses_api.py b/tests/llm_responses_api_testing/test_anthropic_responses_api.py index 575e1af21a3..6537f67acb9 100644 --- a/tests/llm_responses_api_testing/test_anthropic_responses_api.py +++ b/tests/llm_responses_api_testing/test_anthropic_responses_api.py @@ -89,7 +89,7 @@ def test_multiturn_tool_calls(): "type": "message", } ], - model="anthropic/claude-4-sonnet-20250514", + model="anthropic/claude-haiku-4-5-20251001", instructions="You are a helpful coding assistant.", tools=[shell_tool], ) @@ -115,7 +115,7 @@ def test_multiturn_tool_calls(): # Use await with asyncio.run for the async function follow_up_response = litellm.responses( - model="anthropic/claude-4-sonnet-20250514", + model="anthropic/claude-haiku-4-5-20251001", previous_response_id=response_id, input=[ { From 37a22acf6f527870d4873c33c67a1078dc20f52b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 09:06:29 +0000 Subject: [PATCH 099/160] chore(proxy): close callback-config and observability-credential side channels MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two related gaps in the proxy's request bouncer: 1. ``is_request_body_safe`` (auth_utils.py) walked the request-body root and the ``litellm_embedding_config`` nested dict, but not ``metadata`` or ``litellm_metadata``. The same fields it bans at root — Langfuse / Langsmith / Arize / PostHog / Braintrust / Phoenix / W&B Weave / GCS / Humanloop / Lunary credentials and routing — were silently accepted when the caller put them inside metadata, retargeting observability callbacks to a caller-controlled host with caller-supplied creds. Walk both metadata containers (and parse the JSON-string form sent via multipart / ``extra_body``) through the same banned-params helper, so the existing ``allow_client_side_credentials`` opt-in covers both paths consistently. 2. The banned-params list was hand-maintained and lagged the canonical ``_supported_callback_params`` allow-list in ``initialize_dynamic_callback_params``. Derive the observability bans from that allow-list (minus a small ``_SAFE_CLIENT_CALLBACK_PARAMS`` set for informational fields like ``langfuse_prompt_version`` and ``langsmith_sampling_rate``) so future integrations are covered automatically; ``_EXTRA_BANNED_OBSERVABILITY_PARAMS`` carries the handful of fields integrations read but the allow-list hasn't caught up to. A guard test fails CI if a new entry is added to ``_supported_callback_params`` without an explicit safe-list decision. Separately in ``litellm_pre_call_utils.py``: add ``callbacks``, ``service_callback``, ``logger_fn``, and ``litellm_disabled_callbacks`` to ``_UNTRUSTED_ROOT_CONTROL_FIELDS``. The first three are appended to worker-wide ``litellm.{input,success,failure,_async_*,service}_callback`` lists / ``litellm.user_logger_fn`` from inside ``function_setup`` — one request poisons every subsequent caller in that worker. The last is the inverse primitive: the legitimate path reads it from key/team metadata, the request-body version silently disables admin-configured audit / observability for the call. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/auth/auth_utils.py | 100 +++++++++- litellm/proxy/litellm_pre_call_utils.py | 13 ++ .../proxy/auth/test_auth_utils.py | 186 ++++++++++++++++++ .../proxy/test_litellm_pre_call_utils.py | 53 +++++ 4 files changed, 343 insertions(+), 9 deletions(-) diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index 51108827f6b..84fb2f8a95e 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -2,7 +2,7 @@ import os import re import sys from functools import lru_cache -from typing import Any, Dict, List, Mapping, Optional, Tuple, Union +from typing import Any, Dict, FrozenSet, List, Mapping, Optional, Tuple, Union from fastapi import HTTPException, Request, status @@ -173,9 +173,67 @@ def _allow_model_level_clientside_configurable_parameters( # threat shape should be added here. _NESTED_CONFIG_KEYS: Tuple[str, ...] = ("litellm_embedding_config",) -# Banned root-level params. Same list applies to every entry in -# ``_NESTED_CONFIG_KEYS`` because those dicts get spread as ``**kwargs`` -# into the same outbound calls. +# Metadata containers that carry per-request configuration consumed by the +# observability callbacks. The same banned-param list applies — a value +# under ``metadata.langfuse_host`` redirects the same Langfuse client and +# leaks the same credentials as the root-level ``langfuse_host``, but the +# original check only walked the request-body root, so the metadata path +# was an unintentional bypass. +_NESTED_METADATA_KEYS: Tuple[str, ...] = ("metadata", "litellm_metadata") + +# Banned request-body params. The same list applies to every entry in +# ``_NESTED_CONFIG_KEYS`` (dicts spread as ``**kwargs`` into outbound +# calls) and ``_NESTED_METADATA_KEYS`` (dicts read directly by integration +# callbacks), so a single banned name is enforced wherever the field can +# reach the call path from. +# Per-request observability params that are SAFE to accept from clients. +# These describe the request being logged (prompt version, sampling rate) +# without choosing the destination or the credentials, so they don't +# contribute to the data-exfil primitive that the rest of +# ``_supported_callback_params`` does. +_SAFE_CLIENT_CALLBACK_PARAMS: FrozenSet[str] = frozenset( + { + "langfuse_prompt_version", + "langsmith_sampling_rate", + } +) + +# Observability fields that integrations read from the request body or +# metadata but that are not (yet) listed in ``_supported_callback_params``. +# Listed here so the proxy bans them today; the long-term cleanup is to +# fold these into the canonical allowlist so they share one source of +# truth with the rest. +_EXTRA_BANNED_OBSERVABILITY_PARAMS: FrozenSet[str] = frozenset( + { + "posthog_api_url", + "phoenix_project_name", + "wandb_api_key", + "weave_project_id", + } +) + + +def _build_banned_observability_params() -> FrozenSet[str]: + """Derive the observability ban list from the canonical allowlist. + + ``_supported_callback_params`` in + ``litellm/litellm_core_utils/initialize_dynamic_callback_params.py`` is + the single place that enumerates every observability field + integrations resolve from kwargs/metadata. Subtract the small set of + informational fields (``_SAFE_CLIENT_CALLBACK_PARAMS``) and union with + the extras the canonical allowlist hasn't caught up to yet. New + integrations added to the canonical allowlist are banned by default, + which is the safe failure mode. + """ + from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + _supported_callback_params, + ) + + return ( + frozenset(_supported_callback_params) - _SAFE_CLIENT_CALLBACK_PARAMS + ) | _EXTRA_BANNED_OBSERVABILITY_PARAMS + + _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = ( "api_base", "base_url", @@ -190,11 +248,6 @@ _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = ( # tokens) to the attacker's host, or coerces the proxy into # authenticating against the attacker's host with admin secrets. "aws_bedrock_runtime_endpoint", - "langsmith_base_url", - "langfuse_host", - "posthog_host", - "braintrust_host", - "slack_webhook_url", # Provider-specific endpoint overrides that flow into the outbound # request via ``optional_params``. Same threat as ``api_base``: # ``s3_endpoint_url`` redirects Bedrock file uploads to attacker @@ -203,6 +256,11 @@ _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = ( "s3_endpoint_url", "sagemaker_base_url", "deployment_url", + # Observability credentials, hosts, and project identifiers: derived + # from the canonical ``_supported_callback_params`` allowlist so new + # integrations are covered automatically. Sorted for stable iteration + # order and reviewable diffs. + *sorted(_build_banned_observability_params()), ) @@ -275,9 +333,33 @@ def is_request_body_safe( nested = request_body.get(nested_key) if isinstance(nested, dict): _check_banned_params(nested, general_settings, llm_router, model) + for metadata_key in _NESTED_METADATA_KEYS: + metadata = _coerce_metadata_to_dict(request_body.get(metadata_key)) + if metadata is not None: + _check_banned_params(metadata, general_settings, llm_router, model) return True +def _coerce_metadata_to_dict(value: Any) -> Optional[Dict[str, Any]]: + """Return ``value`` as a dict, parsing it from JSON if delivered as a string. + + Multipart/form-data and ``extra_body`` callers send ``litellm_metadata`` + as a JSON-encoded string; the proxy parses it into a dict later in + ``add_litellm_data_to_request``, but the auth-time bouncer runs first + and would otherwise miss the banned-param check on a still-stringified + metadata blob. + """ + if isinstance(value, dict): + return value + if isinstance(value, str): + from litellm.litellm_core_utils.safe_json_loads import safe_json_loads + + parsed = safe_json_loads(value) + if isinstance(parsed, dict): + return parsed + return None + + async def pre_db_read_auth_checks( request: Request, request_data: dict, diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 853c56856fc..c1d133b032b 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -120,6 +120,19 @@ _UNTRUSTED_ROOT_CONTROL_FIELDS = ( "pillar_response_headers", "_guardrail_pipelines", "_pipeline_managed_guardrails", + # Callback-registration fields. ``callbacks``, ``service_callback``, + # and ``logger_fn`` are read by ``litellm.utils.function_setup`` and + # appended to process-wide ``litellm.{input,success,failure,_async_*, + # service}_callback`` lists / ``litellm.user_logger_fn`` — one request + # poisons the worker for every subsequent caller. + # ``litellm_disabled_callbacks`` is the inverse primitive: the + # legitimate path reads it from key/team metadata, the request-body + # version silently turns off admin-configured audit/observability + # for the caller's request. + "callbacks", + "service_callback", + "logger_fn", + "litellm_disabled_callbacks", ) _UNTRUSTED_METADATA_CONTROL_FIELDS = ( diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py index c146b5ded5b..58a55f8aa6f 100644 --- a/tests/test_litellm/proxy/auth/test_auth_utils.py +++ b/tests/test_litellm/proxy/auth/test_auth_utils.py @@ -1292,3 +1292,189 @@ class TestIsRequestBodySafeNestedConfig: ) is True ) + + +# ── observability-callback ban (root + metadata) ─────────────────────────── + + +class TestObservabilityCallbackBans: + """The proxy must reject observability credentials, hosts, and project + identifiers regardless of whether they arrive at the request body root, + in ``metadata`` / ``litellm_metadata``, or in a JSON-string-encoded + metadata blob (multipart/``extra_body`` path). + + The ban list is derived from + ``litellm.litellm_core_utils.initialize_dynamic_callback_params._supported_callback_params`` + minus a small ``_SAFE_CLIENT_CALLBACK_PARAMS`` allow-list, plus + ``_EXTRA_BANNED_OBSERVABILITY_PARAMS`` for fields integrations read but + that are not yet in the canonical allow-list. The derivation keeps the + proxy in sync as new integrations are added. + """ + + @pytest.fixture(autouse=True) + def _disable_url_validation(self, monkeypatch): + import litellm + + monkeypatch.setattr(litellm, "user_url_validation", False, raising=False) + + @pytest.mark.parametrize( + "field", + [ + "langfuse_public_key", + "langfuse_secret", + "langfuse_secret_key", + "langsmith_api_key", + "langsmith_project", + "langsmith_tenant_id", + "arize_api_key", + "arize_space_key", + "arize_space_id", + "posthog_api_key", + "posthog_api_url", + "braintrust_api_key", + "braintrust_project", + "phoenix_project_name", + "wandb_api_key", + "weave_project_id", + "gcs_bucket_name", + "gcs_path_service_account", + "humanloop_api_key", + "lunary_public_key", + ], + ) + def test_observability_field_in_request_body_root_is_rejected(self, field): + with pytest.raises(ValueError) as exc: + is_request_body_safe( + request_body={"model": "gpt-4", field: "attacker-value"}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + assert field in str(exc.value) + + @pytest.mark.parametrize( + "metadata_key", + ["metadata", "litellm_metadata"], + ) + @pytest.mark.parametrize( + "field", + [ + "langfuse_host", + "langfuse_secret_key", + "langsmith_api_key", + "posthog_api_url", + "braintrust_project", + "phoenix_project_name", + ], + ) + def test_observability_field_in_metadata_dict_is_rejected( + self, metadata_key, field + ): + # Verifies the metadata walk: a value smuggled inside ``metadata`` + # or ``litellm_metadata`` is just as dangerous as the same field + # at the body root, and must hit the same gate. + with pytest.raises(ValueError) as exc: + is_request_body_safe( + request_body={ + "model": "gpt-4", + metadata_key: {field: "attacker-value"}, + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + assert field in str(exc.value) + + @pytest.mark.parametrize( + "metadata_key", + ["metadata", "litellm_metadata"], + ) + def test_observability_field_in_json_string_metadata_is_rejected( + self, metadata_key + ): + # Multipart/form-data and ``extra_body`` callers send metadata as a + # JSON-encoded string. The bouncer parses it before applying the + # banned-params check so the JSON-string path can't smuggle past + # the ``isinstance(dict)`` guard. + import json + + with pytest.raises(ValueError) as exc: + is_request_body_safe( + request_body={ + "model": "gpt-4", + metadata_key: json.dumps( + {"langfuse_host": "https://attacker.example"} + ), + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + assert "langfuse_host" in str(exc.value) + + def test_admin_opt_in_allows_metadata_credential_passthrough(self): + # The opt-in gate covers the metadata path the same way it covers + # the root path — operators running BYO observability with + # clientside creds flip a single flag and both paths work. + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "metadata": { + "langfuse_host": "https://my-langfuse.example", + "langfuse_public_key": "pk-mine", + "langfuse_secret_key": "sk-mine", + }, + }, + general_settings={"allow_client_side_credentials": True}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_safe_per_request_observability_metadata_is_allowed(self): + # Informational fields (sampling rate, prompt version) describe + # the request being logged — they don't choose the destination or + # credentials, so they must remain accepted from clients without + # the opt-in flag. + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "metadata": { + "langfuse_prompt_version": "v2", + "langsmith_sampling_rate": 0.1, + }, + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + +def test_observability_ban_covers_canonical_supported_callback_params(): + """Guard test: every entry in the canonical + ``_supported_callback_params`` allow-list must end up either banned by + the proxy or explicitly safe-listed. New integrations added to that + list are banned by default (the safe failure mode); flagging them as + safe is an explicit decision recorded in + ``_SAFE_CLIENT_CALLBACK_PARAMS``.""" + from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + _supported_callback_params, + ) + from litellm.proxy.auth.auth_utils import ( + _BANNED_REQUEST_BODY_PARAMS, + _SAFE_CLIENT_CALLBACK_PARAMS, + ) + + banned = set(_BANNED_REQUEST_BODY_PARAMS) + for param in _supported_callback_params: + assert param in banned or param in _SAFE_CLIENT_CALLBACK_PARAMS, ( + f"{param} is in _supported_callback_params but neither banned nor " + f"safe-listed. Add it to _SAFE_CLIENT_CALLBACK_PARAMS if it is an " + f"informational per-request field; otherwise the derivation will " + f"ban it automatically." + ) diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index 4e24d8af653..d2a1468be2a 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -596,6 +596,59 @@ async def test_add_litellm_data_to_request_strips_user_control_fields(): assert "pillar_response_headers" not in snapshot_body["metadata"] +@pytest.mark.asyncio +@pytest.mark.parametrize( + "control_field", + ["callbacks", "service_callback", "logger_fn", "litellm_disabled_callbacks"], +) +async def test_add_litellm_data_to_request_strips_callback_control_fields( + control_field, +): + """``callbacks`` / ``service_callback`` / ``logger_fn`` get appended to + the worker-wide ``litellm.{input,success,failure,_async_*,service}_callback`` + lists and ``litellm.user_logger_fn`` from inside ``function_setup`` — + one request poisons every subsequent caller in that worker. + ``litellm_disabled_callbacks`` is the inverse: a request-body value + silently disables admin-configured audit/observability for the call. + None has a documented per-request use, so all four are stripped at + the proxy boundary alongside the existing internal-only fields.""" + request_mock = MagicMock(spec=Request) + request_mock.url.path = "/v1/chat/completions" + request_mock.url = MagicMock() + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = {"Content-Type": "application/json"} + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + + sample_value = ( + ["langfuse"] + if control_field + in ("callbacks", "service_callback", "litellm_disabled_callbacks") + else "module.func" + ) + + updated = await add_litellm_data_to_request( + data={ + "model": "gpt-3.5-turbo", + "messages": [{"role": "user", "content": "hi"}], + control_field: sample_value, + }, + request=request_mock, + user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert control_field not in updated + # The post-strip body snapshot used by audit/spend logging must also + # not retain the attacker-injected control field. + snapshot_body = updated["proxy_server_request"]["body"] + assert control_field not in snapshot_body + + @pytest.mark.asyncio async def test_add_litellm_data_to_request_allows_client_mock_response_with_admin_opt_in(): request_mock = MagicMock(spec=Request) From 01323e890357f34ea39eab025e7fff55391ed26e Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 09:18:17 +0000 Subject: [PATCH 100/160] fix(auth): per-param allow must continue, not return early MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A pre-existing logic bug in ``_check_banned_params``: when the deployment-level ``configurable_clientside_auth_params`` permitted one banned field, the loop ``return``-ed on the first match instead of ``continue``-ing, so any other banned param later in the same body or metadata dict was never checked. This PR's metadata walk multiplies the surface where that bypass matters — a body pairing an allowed ``api_base`` with an observability credential like ``langfuse_host`` would silently pass. Proxy-wide ``allow_client_side_credentials`` keeps ``return`` (it's a global opt-in for every banned param). The per-param branch becomes ``continue`` so only the one explicitly-permitted field is skipped. Adds a regression test that exercises the api_base + langfuse_host pair. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/auth/auth_utils.py | 9 +++++- .../proxy/auth/test_auth_utils.py | 30 +++++++++++++++++++ 2 files changed, 38 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index 84fb2f8a95e..9a6fc95f145 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -279,6 +279,8 @@ def _check_banned_params( if param not in body: continue if general_settings.get("allow_client_side_credentials") is True: + # Proxy-wide opt-in: every banned param is permitted, exit + # entirely so the rest of the loop doesn't waste work. return if ( _allow_model_level_clientside_configurable_parameters( @@ -289,7 +291,12 @@ def _check_banned_params( ) is True ): - return + # Per-param opt-in: only THIS param is permitted by the + # deployment's ``configurable_clientside_auth_params``. Skip + # to the next banned param so a body that pairs an allowed + # ``api_base`` with an unallowed ``langfuse_host`` is still + # rejected for the second field. + continue raise ValueError( f"Rejected Request: {param} is not allowed in request body. " "Clientside passthrough requires explicit admin opt-in via " diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py index 58a55f8aa6f..7c04a4f61fb 100644 --- a/tests/test_litellm/proxy/auth/test_auth_utils.py +++ b/tests/test_litellm/proxy/auth/test_auth_utils.py @@ -1455,6 +1455,36 @@ class TestObservabilityCallbackBans: ) +def test_model_level_allow_does_not_skip_subsequent_banned_params(monkeypatch): + """Greptile P1: ``_check_banned_params`` previously ``return``-ed when a + deployment's ``configurable_clientside_auth_params`` permitted one + banned field, exiting before any later banned field in the same body + was checked. The metadata walk this PR adds multiplies the surface + where that bypass matters: a body pairing a model-level-allowed + ``api_base`` with an observability credential like ``langfuse_host`` + must still reject on the second field, not silently pass.""" + from litellm.proxy.auth import auth_utils + + monkeypatch.setattr( + auth_utils, + "_allow_model_level_clientside_configurable_parameters", + lambda model, param, request_body_value, llm_router: param == "api_base", + ) + + with pytest.raises(ValueError) as exc: + is_request_body_safe( + request_body={ + "model": "gpt-4", + "api_base": "https://allowed-by-deployment.example", + "langfuse_host": "https://attacker.example", + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + assert "langfuse_host" in str(exc.value) + + def test_observability_ban_covers_canonical_supported_callback_params(): """Guard test: every entry in the canonical ``_supported_callback_params`` allow-list must end up either banned by From b87c2f66a6287451911538db19ee9dda0ca70c31 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 10:08:28 +0000 Subject: [PATCH 101/160] fix(vector_store): resolve embedding config at request time, never persist creds The vector store create/update path previously called ``_resolve_embedding_config`` against the admin-configured router/DB model and persisted the resolved ``litellm_embedding_config`` dict (``api_key`` / ``api_base`` / ``api_version``) into the ``litellm_managedvectorstorestable.litellm_params`` column. Because the resolver expanded ``os.environ/...`` references via ``get_secret``, the DB row carried cleartext provider credentials, and the ``/vector_store/{new,info,update,list}`` responses returned them to any authenticated caller who could supply a known admin model name. Move the auto-resolve out of ``create_vector_store_in_db`` and out of the update path. Persist only the user-supplied ``litellm_embedding_model`` reference. Resolve at request-handling time inside ``_update_request_data_with_litellm_managed_vector_store_registry`` so the resolved config lives in the per-request ``data`` dict and is garbage-collected after the response. Legacy rows that were created by an earlier proxy version and already carry a resolved ``litellm_embedding_config`` skip the re-resolution and pass through unchanged so embedding calls keep working. The ``new_vector_store`` response now also runs the existing ``_redact_sensitive_litellm_params`` masker (already used by ``info``, ``update``, and ``list``), defending against caller-supplied cleartext on the create path and against legacy rows whose persisted credentials are still in the database. Existing tests that asserted the old write-time-resolve behaviour are updated to assert the new persistence shape (no embedding config stored, just the model reference). Two new tests cover the use-time path: one asserting fresh resolution happens when a row carries only the model reference, the other asserting legacy rows with persisted config skip re-resolution and continue to work. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../proxy/vector_store_endpoints/endpoints.py | 22 +++ .../management_endpoints.py | 57 ++++--- .../test_vector_store_endpoints.py | 146 +++++++++++++++--- 3 files changed, 172 insertions(+), 53 deletions(-) diff --git a/litellm/proxy/vector_store_endpoints/endpoints.py b/litellm/proxy/vector_store_endpoints/endpoints.py index 86e316e7f40..0f9753a303a 100644 --- a/litellm/proxy/vector_store_endpoints/endpoints.py +++ b/litellm/proxy/vector_store_endpoints/endpoints.py @@ -56,6 +56,28 @@ async def _update_request_data_with_litellm_managed_vector_store_registry( if "litellm_params" in vector_store_to_run: litellm_params = vector_store_to_run.get("litellm_params", {}) or {} + # Resolve ``litellm_embedding_config`` here, at request-handling + # time, instead of at row-creation time. The resolved + # ``api_key`` / ``api_base`` / ``api_version`` lives only in + # this per-request ``data`` dict and is never persisted. + # Legacy rows that already carry a resolved (cleartext) + # ``litellm_embedding_config`` skip the lookup and pass through + # unchanged so the embed call keeps working. + embedding_model = litellm_params.get("litellm_embedding_model") + if embedding_model and not litellm_params.get("litellm_embedding_config"): + from litellm.proxy.proxy_server import prisma_client + from litellm.proxy.vector_store_endpoints.management_endpoints import ( + _resolve_embedding_config, + ) + + resolved_config = await _resolve_embedding_config( + embedding_model=embedding_model, prisma_client=prisma_client + ) + if resolved_config: + litellm_params = { + **litellm_params, + "litellm_embedding_config": resolved_config, + } data.update(litellm_params) return data diff --git a/litellm/proxy/vector_store_endpoints/management_endpoints.py b/litellm/proxy/vector_store_endpoints/management_endpoints.py index 99a2085bfcd..bff43cacaaf 100644 --- a/litellm/proxy/vector_store_endpoints/management_endpoints.py +++ b/litellm/proxy/vector_store_endpoints/management_endpoints.py @@ -432,20 +432,17 @@ async def create_vector_store_in_db( if user_id is not None: data_to_create["user_id"] = user_id - # Handle litellm_params - always provide at least an empty dict + # Handle litellm_params - always provide at least an empty dict. + # The earlier behaviour resolved ``litellm_embedding_config`` from the + # admin-configured router/DB model and persisted the cleartext result + # (``api_key``, ``api_base``, ``api_version``) into this row. That + # exposed every env-stored embedding-model credential on the + # ``/vector_store/{new,info,update,list}`` responses. Keep the user's + # raw ``litellm_embedding_model`` reference; resolution now happens in + # ``_update_request_data_with_litellm_managed_vector_store_registry`` + # at request-handling time so the cleartext config exists only in + # per-request memory and never reaches the database. if litellm_params: - # Auto-resolve embedding config if embedding model is provided but config is not - embedding_model = litellm_params.get("litellm_embedding_model") - if embedding_model and not litellm_params.get("litellm_embedding_config"): - resolved_config = await _resolve_embedding_config( - embedding_model=embedding_model, prisma_client=prisma_client - ) - if resolved_config: - litellm_params["litellm_embedding_config"] = resolved_config - verbose_proxy_logger.info( - f"Auto-resolved embedding config for model {embedding_model}" - ) - litellm_params_dict = GenericLiteLLMParams(**litellm_params).model_dump( exclude_none=True ) @@ -531,10 +528,19 @@ async def new_vector_store( user_id=user_api_key_dict.user_id, ) + # Apply the same litellm_params redaction the list / info / update + # endpoints already use, so a caller-supplied credential or a + # cleartext value persisted by an earlier proxy version doesn't + # come back in the response. + response_vs = LiteLLM_ManagedVectorStore(**new_vector_store) + response_vs["litellm_params"] = _redact_sensitive_litellm_params( + new_vector_store.get("litellm_params") + ) + return { "status": "success", "message": f"Vector store {vector_store.get('vector_store_id')} created successfully", - "vector_store": new_vector_store, + "vector_store": response_vs, } except Exception as e: verbose_proxy_logger.exception(f"Error creating vector store: {str(e)}") @@ -865,24 +871,15 @@ async def update_vector_store( update_data["vector_store_metadata"] ) - # Handle litellm_params if provided + # Handle litellm_params if provided. As with the create path, the + # embedding-config auto-resolve previously persisted cleartext + # credentials into the row; resolution now happens at request- + # handling time in + # ``_update_request_data_with_litellm_managed_vector_store_registry`` + # so this row only ever stores the user-supplied + # ``litellm_embedding_model`` reference. if "litellm_params" in update_data: _input_litellm_params: dict = update_data.get("litellm_params", {}) or {} - - # Auto-resolve embedding config if embedding model is provided but config is not - embedding_model = _input_litellm_params.get("litellm_embedding_model") - if embedding_model and not _input_litellm_params.get( - "litellm_embedding_config" - ): - resolved_config = await _resolve_embedding_config( - embedding_model=embedding_model, prisma_client=prisma_client - ) - if resolved_config: - _input_litellm_params["litellm_embedding_config"] = resolved_config - verbose_proxy_logger.info( - f"Auto-resolved embedding config for model {embedding_model}" - ) - litellm_params_dict = GenericLiteLLMParams( **_input_litellm_params ).model_dump(exclude_none=True) diff --git a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py index e67a04c749a..7f5557f41ed 100644 --- a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py +++ b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py @@ -170,6 +170,95 @@ async def test_update_request_data_with_litellm_managed_vector_store_registry(): assert result == original_data +@pytest.mark.asyncio +async def test_update_request_data_resolves_embedding_config_at_use_time(): + """When the persisted vector store row carries only a + ``litellm_embedding_model`` reference (the new behaviour after + moving the auto-resolve out of write time), the request-handling + layer must resolve the embedding config so the downstream embed + call still has ``api_key`` / ``api_base`` / ``api_version``. The + resolved config lives in this per-request data dict only — never + persisted.""" + mock_vector_store: LiteLLM_ManagedVectorStore = { + "vector_store_id": "test_store", + "custom_llm_provider": "azure_ai", + "litellm_params": { + "litellm_embedding_model": "azure/text-embedding-3-large", + # Note: no litellm_embedding_config persisted + }, + } + + mock_registry = MagicMock() + mock_registry.get_litellm_managed_vector_store_from_registry.return_value = ( + mock_vector_store + ) + + resolved = { + "api_key": "use-time-resolved-key", + "api_base": "https://my-azure.example", + "api_version": "2024-09-01", + } + + with ( + patch.object(litellm, "vector_store_registry", mock_registry), + patch( + "litellm.proxy.vector_store_endpoints.management_endpoints._resolve_embedding_config", + new=AsyncMock(return_value=resolved), + ), + ): + result = await _update_request_data_with_litellm_managed_vector_store_registry( + data={}, vector_store_id="test_store" + ) + + assert result["litellm_embedding_model"] == "azure/text-embedding-3-large" + assert result["litellm_embedding_config"] == resolved + + +@pytest.mark.asyncio +async def test_update_request_data_passes_through_legacy_embedding_config(): + """A vector store row created by an older proxy version may already + carry a fully-resolved ``litellm_embedding_config`` in its persisted + ``litellm_params`` (the very leak this PR closes). Those legacy rows + must still work — the use-time resolver skips re-resolution when + the config is already present so the embed call keeps succeeding.""" + legacy_config = { + "api_key": "legacy-cleartext-key", + "api_base": "https://legacy-azure.example", + "api_version": "2024-01-01", + } + mock_vector_store: LiteLLM_ManagedVectorStore = { + "vector_store_id": "legacy_store", + "custom_llm_provider": "azure_ai", + "litellm_params": { + "litellm_embedding_model": "azure/text-embedding-3-large", + "litellm_embedding_config": legacy_config, + }, + } + + mock_registry = MagicMock() + mock_registry.get_litellm_managed_vector_store_from_registry.return_value = ( + mock_vector_store + ) + + resolve_mock = AsyncMock( + return_value={"api_key": "should-not-be-used", "api_base": "wrong"} + ) + + with ( + patch.object(litellm, "vector_store_registry", mock_registry), + patch( + "litellm.proxy.vector_store_endpoints.management_endpoints._resolve_embedding_config", + new=resolve_mock, + ), + ): + result = await _update_request_data_with_litellm_managed_vector_store_registry( + data={}, vector_store_id="legacy_store" + ) + + assert result["litellm_embedding_config"] == legacy_config + resolve_mock.assert_not_awaited() + + class TestCheckVectorStorePermission: """Test suite for check_vector_store_permission function.""" @@ -1417,20 +1506,31 @@ async def test_new_vector_store_auto_resolves_embedding_config(): ) assert result["status"] == "success" - # Verify that embedding config was resolved and included in the create call + # Auto-resolve no longer happens at create time — the persisted row + # carries only the model reference, never the resolved cleartext + # credential. Resolution now happens at request-handling time inside + # ``_update_request_data_with_litellm_managed_vector_store_registry``, + # where the resolved config lives in per-request memory and is never + # written to the database. litellm_params_json = captured_create_data.get("litellm_params") assert litellm_params_json is not None litellm_params_dict = json.loads(litellm_params_json) - assert "litellm_embedding_config" in litellm_params_dict - assert ( - litellm_params_dict["litellm_embedding_config"]["api_key"] == "resolved-api-key" - ) - assert ( - litellm_params_dict["litellm_embedding_config"]["api_base"] - == "https://api.openai.com" - ) - assert ( - litellm_params_dict["litellm_embedding_config"]["api_version"] == "2024-01-01" + assert "litellm_embedding_config" not in litellm_params_dict + assert litellm_params_dict["litellm_embedding_model"] == "text-embedding-ada-002" + + # The response must also not echo a cleartext credential — even on + # the create response, where redaction guards against caller-supplied + # cleartext or pre-existing rows that were created by an earlier + # proxy version. + response_vs = result["vector_store"] + response_params = response_vs.get("litellm_params") + # The redact helper preserves the persisted shape (string or dict); + # serialise to text either way and assert the cleartext credential + # never appears. + assert "resolved-api-key" not in ( + response_params + if isinstance(response_params, str) + else json.dumps(response_params or {}) ) @@ -1687,21 +1787,21 @@ async def test_new_vector_store_auto_resolves_from_router(): ) assert result["status"] == "success" - # Verify that embedding config was resolved from router and included in the create call + # Resolution against the router happens at request-handling time now, + # not at row creation. The persisted ``litellm_params`` carries only + # the model reference, never the cleartext credential. litellm_params_json = captured_create_data.get("litellm_params") assert litellm_params_json is not None litellm_params_dict = json.loads(litellm_params_json) - assert "litellm_embedding_config" in litellm_params_dict - assert ( - litellm_params_dict["litellm_embedding_config"]["api_key"] - == "router-resolved-api-key" - ) - assert ( - litellm_params_dict["litellm_embedding_config"]["api_base"] - == "https://router-resolved-base.com" - ) - assert ( - litellm_params_dict["litellm_embedding_config"]["api_version"] == "2024-03-01" + assert "litellm_embedding_config" not in litellm_params_dict + assert litellm_params_dict["litellm_embedding_model"] == "config-embedding-model" + + response_vs = result["vector_store"] + response_params = response_vs.get("litellm_params") + assert "router-resolved-api-key" not in ( + response_params + if isinstance(response_params, str) + else json.dumps(response_params or {}) ) From 38511675b16f1d2bfe71218e5989ac21a354c24d Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 10:17:50 +0000 Subject: [PATCH 102/160] fix(vector_store): tighten registry-mutation comment and dedupe test helpers --- .../proxy/vector_store_endpoints/endpoints.py | 11 ++++-- .../test_vector_store_endpoints.py | 39 ++++++++++--------- 2 files changed, 29 insertions(+), 21 deletions(-) diff --git a/litellm/proxy/vector_store_endpoints/endpoints.py b/litellm/proxy/vector_store_endpoints/endpoints.py index 0f9753a303a..ccf15c206b0 100644 --- a/litellm/proxy/vector_store_endpoints/endpoints.py +++ b/litellm/proxy/vector_store_endpoints/endpoints.py @@ -8,6 +8,9 @@ from litellm.proxy._types import CommonProxyErrors, UserAPIKeyAuth from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing from litellm.proxy.utils import jsonify_object +from litellm.proxy.vector_store_endpoints.management_endpoints import ( + _resolve_embedding_config, +) from litellm.proxy.vector_store_endpoints.utils import ( assert_user_can_access_vector_store, get_litellm_managed_vector_store, @@ -66,14 +69,16 @@ async def _update_request_data_with_litellm_managed_vector_store_registry( embedding_model = litellm_params.get("litellm_embedding_model") if embedding_model and not litellm_params.get("litellm_embedding_config"): from litellm.proxy.proxy_server import prisma_client - from litellm.proxy.vector_store_endpoints.management_endpoints import ( - _resolve_embedding_config, - ) resolved_config = await _resolve_embedding_config( embedding_model=embedding_model, prisma_client=prisma_client ) if resolved_config: + # Build a fresh dict via spread instead of mutating + # ``litellm_params`` in place — the registry hands back + # a reference to its cached object, so an in-place + # update would persist the resolved cleartext into the + # in-memory cache for the lifetime of the process. litellm_params = { **litellm_params, "litellm_embedding_config": resolved_config, diff --git a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py index 7f5557f41ed..8fc7bc4e268 100644 --- a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py +++ b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py @@ -36,6 +36,20 @@ from litellm.proxy.vector_store_endpoints.utils import ( from litellm.types.utils import LlmProviders +def _serialize_litellm_params(litellm_params): + """Serialize ``litellm_params`` to a string for substring assertions. + + The redact helper preserves the persisted shape — string in, string + out; dict in, dict out — so callers that just want to assert "this + secret never appears" need a single text representation either way. + """ + import json + + if isinstance(litellm_params, str): + return litellm_params + return json.dumps(litellm_params or {}) + + @pytest.mark.asyncio async def test_router_avector_store_search_passes_correct_args(): """ @@ -202,7 +216,7 @@ async def test_update_request_data_resolves_embedding_config_at_use_time(): with ( patch.object(litellm, "vector_store_registry", mock_registry), patch( - "litellm.proxy.vector_store_endpoints.management_endpoints._resolve_embedding_config", + "litellm.proxy.vector_store_endpoints.endpoints._resolve_embedding_config", new=AsyncMock(return_value=resolved), ), ): @@ -240,14 +254,12 @@ async def test_update_request_data_passes_through_legacy_embedding_config(): mock_vector_store ) - resolve_mock = AsyncMock( - return_value={"api_key": "should-not-be-used", "api_base": "wrong"} - ) + resolve_mock = AsyncMock() with ( patch.object(litellm, "vector_store_registry", mock_registry), patch( - "litellm.proxy.vector_store_endpoints.management_endpoints._resolve_embedding_config", + "litellm.proxy.vector_store_endpoints.endpoints._resolve_embedding_config", new=resolve_mock, ), ): @@ -1523,14 +1535,8 @@ async def test_new_vector_store_auto_resolves_embedding_config(): # cleartext or pre-existing rows that were created by an earlier # proxy version. response_vs = result["vector_store"] - response_params = response_vs.get("litellm_params") - # The redact helper preserves the persisted shape (string or dict); - # serialise to text either way and assert the cleartext credential - # never appears. - assert "resolved-api-key" not in ( - response_params - if isinstance(response_params, str) - else json.dumps(response_params or {}) + assert "resolved-api-key" not in _serialize_litellm_params( + response_vs.get("litellm_params") ) @@ -1797,11 +1803,8 @@ async def test_new_vector_store_auto_resolves_from_router(): assert litellm_params_dict["litellm_embedding_model"] == "config-embedding-model" response_vs = result["vector_store"] - response_params = response_vs.get("litellm_params") - assert "router-resolved-api-key" not in ( - response_params - if isinstance(response_params, str) - else json.dumps(response_params or {}) + assert "router-resolved-api-key" not in _serialize_litellm_params( + response_vs.get("litellm_params") ) From 74b4eab364348aa8cb22e4e15060ba78e083bd42 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Sun, 3 May 2026 10:27:53 +0000 Subject: [PATCH 103/160] fix(vector_store): cache use-time embedding-config resolution Hold the resolved config in a process-memory TTL cache so the request-handling path doesn't run litellm_proxymodeltable.find_first on every vector-store call. --- .../management_endpoints.py | 35 +++++++++++++ .../test_vector_store_endpoints.py | 50 +++++++++++++++++++ 2 files changed, 85 insertions(+) diff --git a/litellm/proxy/vector_store_endpoints/management_endpoints.py b/litellm/proxy/vector_store_endpoints/management_endpoints.py index bff43cacaaf..cbb3d927184 100644 --- a/litellm/proxy/vector_store_endpoints/management_endpoints.py +++ b/litellm/proxy/vector_store_endpoints/management_endpoints.py @@ -16,6 +16,7 @@ from fastapi import APIRouter, Depends, HTTPException import litellm from litellm._logging import verbose_proxy_logger +from litellm.caching.in_memory_cache import InMemoryCache from litellm.constants import REDACTED_BY_LITELM_STRING from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.litellm_core_utils.sensitive_data_masker import SensitiveDataMasker @@ -45,6 +46,28 @@ _LITELLM_PARAMS_MASKER = SensitiveDataMasker() _REDACT_LITELLM_PARAMS_MAX_DEPTH = 10 +# Use-time embedding-config resolution runs on every vector-store request +# whose persisted row carries only a model reference (the post-fix shape). +# Without a cache, that's one ``litellm_proxymodeltable.find_first`` per +# request — the no-DB-in-critical-path rule. Hold the resolved config in +# memory for a short TTL so a hot model name pays the DB lookup at most +# once per ``_EMBEDDING_CONFIG_CACHE_TTL`` seconds. Cleartext credentials +# only ever live in process memory (never persisted, never echoed in +# management responses), so the cache doesn't widen the disclosure surface. +_EMBEDDING_CONFIG_CACHE_TTL = 60 +_EMBEDDING_CONFIG_CACHE_MAX_SIZE = 256 +_embedding_config_cache: Optional[InMemoryCache] = None + + +def _get_embedding_config_cache() -> InMemoryCache: + global _embedding_config_cache + if _embedding_config_cache is None: + _embedding_config_cache = InMemoryCache( + max_size_in_memory=_EMBEDDING_CONFIG_CACHE_MAX_SIZE, + default_ttl=_EMBEDDING_CONFIG_CACHE_TTL, + ) + return _embedding_config_cache + def _redact_sensitive_litellm_params(litellm_params: Any, _depth: int = 0) -> Any: """ @@ -303,6 +326,11 @@ async def _resolve_embedding_config( This function first checks the router for config-defined models, then falls back to the database. This allows users to use models defined in either location. + Results are cached in process memory for ``_EMBEDDING_CONFIG_CACHE_TTL`` + seconds so the request-handling path doesn't hit the database on every + vector-store call. Negative results (model not found) are intentionally + not cached to avoid blocking a freshly-added model behind the TTL. + Args: embedding_model: The embedding model string (e.g., "text-embedding-ada-002" or "azure/text-embedding-3-large") prisma_client: The Prisma client instance @@ -314,6 +342,11 @@ async def _resolve_embedding_config( if not embedding_model: return None + cache = _get_embedding_config_cache() + cached = cache.get_cache(embedding_model) + if cached is not None: + return cached + # Import llm_router if not provided if llm_router is None: try: @@ -330,6 +363,7 @@ async def _resolve_embedding_config( verbose_proxy_logger.debug( f"Resolved embedding config from router for model {embedding_model}" ) + cache.set_cache(embedding_model, router_config) return router_config # Fall back to database @@ -341,6 +375,7 @@ async def _resolve_embedding_config( verbose_proxy_logger.debug( f"Resolved embedding config from database for model {embedding_model}" ) + cache.set_cache(embedding_model, db_config) return db_config verbose_proxy_logger.debug( diff --git a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py index 8fc7bc4e268..81b67e8bc50 100644 --- a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py +++ b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py @@ -50,6 +50,19 @@ def _serialize_litellm_params(litellm_params): return json.dumps(litellm_params or {}) +@pytest.fixture(autouse=True) +def _reset_embedding_config_cache(): + """The use-time embedding-config resolver caches results in process + memory across calls. Reset it before every test so the resolver + actually exercises the router/DB path under test instead of returning + a value cached by an earlier test.""" + from litellm.proxy.vector_store_endpoints import management_endpoints + + management_endpoints._embedding_config_cache = None + yield + management_endpoints._embedding_config_cache = None + + @pytest.mark.asyncio async def test_router_avector_store_search_passes_correct_args(): """ @@ -1684,6 +1697,43 @@ async def test_resolve_embedding_config_tries_router_then_db(): mock_prisma_client.db.litellm_proxymodeltable.find_first.assert_not_called() +@pytest.mark.asyncio +async def test_resolve_embedding_config_caches_result(): + """The first lookup should hit the router/DB; subsequent lookups for + the same model name should return the cached value without touching + the router or the database.""" + from litellm.types.router import Deployment, LiteLLM_Params + + mock_prisma_client = MagicMock() + mock_router = MagicMock() + + mock_litellm_params = MagicMock(spec=LiteLLM_Params) + mock_litellm_params.api_key = "router-api-key" + mock_litellm_params.api_base = "https://router-api-base.com" + mock_litellm_params.api_version = None + + mock_deployment = MagicMock(spec=Deployment) + mock_deployment.litellm_params = mock_litellm_params + mock_router.get_deployment_by_model_group_name.return_value = mock_deployment + + first = await _resolve_embedding_config( + embedding_model="cached-model", + prisma_client=mock_prisma_client, + llm_router=mock_router, + ) + assert first is not None + assert mock_router.get_deployment_by_model_group_name.call_count == 1 + + second = await _resolve_embedding_config( + embedding_model="cached-model", + prisma_client=mock_prisma_client, + llm_router=mock_router, + ) + assert second == first + # Router (and by extension the DB) was not consulted again. + assert mock_router.get_deployment_by_model_group_name.call_count == 1 + + @pytest.mark.asyncio async def test_resolve_embedding_config_falls_back_to_db(): """Test that _resolve_embedding_config falls back to DB when router doesn't have the model.""" From a6c673e7b91fbe9e176f67c41d8975689805d032 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 03:56:11 +0000 Subject: [PATCH 104/160] fix(anthropic,bedrock,vertex): forward output_config.effort + 400 on garbage reasoning_effort Follow-up bugs surfaced by the QA sweep on PR #27039 (https://github.com/BerriAI/litellm/pull/27039#issuecomment-4363363610). 1. Stop stripping output_config.effort on Bedrock + Vertex adaptive routes. - Vertex AI Claude 4.6/4.7 accepts output_config.effort on rawPredict (verified end-to-end against us-east5 / global). The strip helper now no-ops for effort. - Bedrock Converse routes output_config into additionalModelRequestFields for anthropic base models so the requested adaptive tier (low/medium/ high/xhigh/max) actually reaches the wire instead of all collapsing to identical thinking. - Bedrock Invoke chat transformation (AmazonAnthropicClaudeConfig) stops popping output_config from the post-AnthropicConfig request body. - Bedrock Invoke /v1/messages allowlist (BedrockInvokeAnthropicMessagesRequest) now lists output_config so the runtime allowlist filter forwards it. 2. Validate effort across Bedrock Converse so 'disabled' / 'invalid' / '' / unsupported tiers (xhigh/max on Sonnet 4.6 or budget-mode 4.5 models) surface as a clean 400 BadRequestError instead of 500. 3. ValueError -> BadRequestError throughout (AnthropicConfig.map_openai_params, _apply_output_config, AmazonConverseConfig._handle_reasoning_effort_parameter). Empty-string effort is now rejected (was silently passing the 'if effort and ...' short-circuit). 4. Floor reasoning_effort='minimal' at the Anthropic provider minimum (1024 budget_tokens) via new ANTHROPIC_MIN_THINKING_BUDGET_TOKENS so it's a usable tier on direct Anthropic / Azure AI Anthropic / Vertex AI Anthropic / Bedrock Invoke (all of which 400 below 1024). 5. model_prices: dedupe duplicate supports_max_reasoning_effort key on claude-opus-4-7 / claude-opus-4-7-20260416. Adds regression tests across all five affected paths; existing tests asserting the silent-strip behavior were updated to reflect the new pass-through and clean 400 surfaces. Co-authored-by: Mateo Wang --- litellm/constants.py | 10 ++ litellm/llms/anthropic/chat/transformation.py | 69 ++++++-- .../bedrock/chat/converse_transformation.py | 147 ++++++++++++++++-- .../anthropic_claude3_transformation.py | 6 +- .../transformation.py | 9 +- .../anthropic/output_params_utils.py | 11 +- .../anthropic/transformation.py | 9 +- litellm/types/llms/bedrock.py | 9 ++ model_prices_and_context_window.json | 2 - .../test_anthropic_chat_transformation.py | 108 ++++++++++++- ...ations_anthropic_claude3_transformation.py | 23 +-- .../chat/test_converse_transformation.py | 105 +++++++++++++ .../test_anthropic_claude3_transformation.py | 54 ++++--- ...partner_models_anthropic_transformation.py | 68 ++++---- 14 files changed, 519 insertions(+), 111 deletions(-) diff --git a/litellm/constants.py b/litellm/constants.py index 334ef8d48a4..177fb024d69 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -399,6 +399,16 @@ BEDROCK_MAX_POLICY_SIZE = int(os.getenv("BEDROCK_MAX_POLICY_SIZE", 75)) BEDROCK_MIN_THINKING_BUDGET_TOKENS = int( os.getenv("BEDROCK_MIN_THINKING_BUDGET_TOKENS", 1024) ) +# Anthropic's Messages API rejects ``thinking.budget_tokens < 1024`` with a +# 400. ``reasoning_effort='minimal'`` historically mapped to 128 (the global +# default) which always 400'd against direct Anthropic, Azure AI Anthropic, +# Vertex AI Anthropic, and Bedrock Invoke. Use the provider minimum so +# ``minimal`` is a usable tier on all Anthropic-backed routes; Bedrock +# Converse already clamped to 1024 server-side, so this just unifies the +# behavior. +ANTHROPIC_MIN_THINKING_BUDGET_TOKENS = int( + os.getenv("ANTHROPIC_MIN_THINKING_BUDGET_TOKENS", 1024) +) REPLICATE_POLLING_DELAY_SECONDS = float( os.getenv("REPLICATE_POLLING_DELAY_SECONDS", 0.5) ) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 35624c93b37..7b07a96ca5b 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -7,6 +7,7 @@ import httpx import litellm from litellm.constants import ( + ANTHROPIC_MIN_THINKING_BUDGET_TOKENS, ANTHROPIC_WEB_SEARCH_TOOL_MAX_USES, DEFAULT_ANTHROPIC_CHAT_MAX_TOKENS, DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET, @@ -819,9 +820,16 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET, ) elif reasoning_effort == "minimal": + # Anthropic Messages API rejects ``budget_tokens < 1024`` with a + # 400. Floor at the provider minimum so ``minimal`` is a usable + # tier on Anthropic / Azure AI Anthropic / Vertex AI Anthropic / + # Bedrock Invoke. Bedrock Converse already clamps server-side. return AnthropicThinkingParam( type="enabled", - budget_tokens=DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET, + budget_tokens=max( + DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET, + ANTHROPIC_MIN_THINKING_BUDGET_TOKENS, + ), ) else: raise ValueError(f"Unmapped reasoning effort: {reasoning_effort}") @@ -1088,9 +1096,21 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): elif param == "thinking": optional_params["thinking"] = value elif param == "reasoning_effort" and isinstance(value, str): - mapped_thinking = AnthropicConfig._map_reasoning_effort( - reasoning_effort=value, model=model - ) + # Wrap the ``ValueError`` ``_map_reasoning_effort`` raises on + # unmapped efforts (``disabled`` / ``invalid`` / ``""`` / + # ``xhigh``/``max`` on budget-mode Claude 4.5) into a clean + # 400 ``BadRequestError`` instead of letting it surface as + # 500. + try: + mapped_thinking = AnthropicConfig._map_reasoning_effort( + reasoning_effort=value, model=model + ) + except ValueError as e: + raise litellm.exceptions.BadRequestError( + message=str(e), + model=model, + llm_provider=self.custom_llm_provider or "anthropic", + ) if mapped_thinking is None: optional_params.pop("thinking", None) optional_params.pop("output_config", None) @@ -1526,18 +1546,31 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): def _apply_output_config( self, data: dict, model: str, optional_params: dict ) -> None: - """Validate and apply output_config to the request data.""" + """Validate and apply output_config to the request data. + + Validation errors raise ``BadRequestError`` (clean 400) so callers + passing ``effort="disabled"`` / ``effort=""`` / unsupported tiers + for the model see a client-side error rather than a 500. + """ if "output_config" not in optional_params: return output_config = optional_params.get("output_config") if not output_config or not isinstance(output_config, dict): return effort = output_config.get("effort") + # ``effort=""`` (empty string) and unmapped strings should be treated + # as invalid, not silently passed through. We use ``effort is not None`` + # here so empty string fails the membership check below. (The legacy + # ``if effort and ...`` short-circuit silently accepted ``""``.) valid_efforts = ["high", "medium", "low", "xhigh", "max"] - if effort and effort not in valid_efforts: - raise ValueError( - f"Invalid effort value: {effort}. Must be one of: " - f"'high', 'medium', 'low', 'xhigh', 'max'" + if effort is not None and effort not in valid_efforts: + raise litellm.exceptions.BadRequestError( + message=( + f"Invalid effort value: {effort!r}. Must be one of: " + f"'high', 'medium', 'low', 'xhigh', 'max'" + ), + model=model, + llm_provider=self.custom_llm_provider or "anthropic", ) # ``max`` is for Opus 4.6+ output effort (not Sonnet 4.6, not Opus 4.5). # Accept known Opus 4.6/4.7 id patterns and/or ``supports_max_reasoning_effort`` @@ -1547,14 +1580,24 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): or self._is_opus_4_7_model(model) or self._supports_effort_level(model, "max") ): - raise ValueError( - f"effort='max' is not supported by this model. Got model: {model}" + raise litellm.exceptions.BadRequestError( + message=( + f"effort='max' is not supported by this model. " + f"Got model: {model}" + ), + model=model, + llm_provider=self.custom_llm_provider or "anthropic", ) # ``xhigh`` is data-driven via ``supports_xhigh_reasoning_effort`` so # enabling it for a new model is a pure model-map change. if effort == "xhigh" and not self._supports_effort_level(model, "xhigh"): - raise ValueError( - f"effort='xhigh' is not supported by this model. Got model: {model}" + raise litellm.exceptions.BadRequestError( + message=( + f"effort='xhigh' is not supported by this model. " + f"Got model: {model}" + ), + model=model, + llm_provider=self.custom_llm_provider or "anthropic", ) data["output_config"] = output_config diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 8b8500ac060..9e46a5f2ae1 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -415,6 +415,15 @@ class AmazonConverseConfig(BaseConfig): - Nova 2 models: Transform to reasoningConfig structure - Other models (Anthropic, etc.): Convert to thinking parameter + For Claude 4.6 / 4.7 (adaptive thinking) the tier is carried via + ``output_config.effort`` rather than ``thinking.budget_tokens``. We + validate the effort with the same rules ``AnthropicConfig._apply_output_config`` + uses (low/medium/high/xhigh/max + per-model gating) and stage the + validated dict on ``optional_params["output_config"]`` so it rides + along to ``additionalModelRequestFields`` on the Anthropic-on-Bedrock + wire path. Without this the silent strip in ``_prepare_request_params`` + collapsed every adaptive tier to identical behavior. + Args: model: The model identifier reasoning_effort: The reasoning effort value @@ -448,14 +457,115 @@ class AmazonConverseConfig(BaseConfig): ) optional_params.update(reasoning_config) else: - # Anthropic and other models: convert to thinking parameter - mapped_thinking = AnthropicConfig._map_reasoning_effort( - reasoning_effort=reasoning_effort, model=model - ) + # Anthropic and other models: convert to thinking parameter. + # Wrap the ``ValueError`` ``_map_reasoning_effort`` raises on + # unmapped efforts (``disabled`` / ``invalid`` / ``""`` / + # ``xhigh``/``max`` on budget-mode Claude 4.5) into a clean 400 + # ``BadRequestError`` instead of letting it surface as 500. + try: + mapped_thinking = AnthropicConfig._map_reasoning_effort( + reasoning_effort=reasoning_effort, model=model + ) + except ValueError as e: + raise litellm.exceptions.BadRequestError( + message=str(e), + model=model, + llm_provider="bedrock_converse", + ) if mapped_thinking is None: optional_params.pop("thinking", None) + optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking + # Adaptive-thinking models (Claude 4.6 / 4.7) take the tier + # via output_config.effort. Mirror the mapping used by + # AnthropicConfig.map_openai_params and apply the same + # validation rules so unmapped/garbage efforts surface as a + # 400 instead of being silently flattened on the wire. + if AnthropicConfig._is_claude_4_6_model( + model + ) or AnthropicConfig._is_claude_4_7_model(model): + effort_map = { + "low": "low", + "minimal": "low", + "medium": "medium", + "high": "high", + "xhigh": "xhigh", + "max": "max", + } + mapped_effort = effort_map.get(reasoning_effort, reasoning_effort) + self._validate_anthropic_adaptive_effort( + model=model, effort=mapped_effort + ) + optional_params["output_config"] = {"effort": mapped_effort} + + @staticmethod + def _supports_effort_level_on_bedrock(model: str, level: str) -> bool: + """Look up ``supports_{level}_reasoning_effort`` for a Bedrock-routed + model id directly in ``litellm.model_cost`` so the bedrock provider + prefix is irrelevant to the lookup. ``AnthropicConfig._supports_effort_level`` + hard-codes ``custom_llm_provider="anthropic"`` and returns False for + the same effort level on a Bedrock model id. + """ + try: + base_model = BedrockModelInfo.get_base_model(model) + for key in (model, base_model, f"bedrock/{base_model}"): + if key and key in litellm.model_cost: + if ( + litellm.model_cost[key].get( + f"supports_{level}_reasoning_effort" + ) + is True + ): + return True + except Exception: + pass + return False + + @staticmethod + def _validate_anthropic_adaptive_effort(model: str, effort: str) -> None: + """Validate ``output_config.effort`` for adaptive-thinking Claude 4.6/4.7 + on Bedrock. Raises ``BadRequestError`` (clean 400) instead of letting + a downstream ``ValueError`` surface as 500. + """ + valid_efforts = {"high", "medium", "low", "xhigh", "max"} + if effort not in valid_efforts: + raise litellm.exceptions.BadRequestError( + message=( + f"Invalid reasoning_effort/output_config.effort value: " + f"{effort!r}. Must be one of: 'low', 'medium', 'high', " + f"'xhigh', 'max', or 'none'." + ), + model=model, + llm_provider="bedrock_converse", + ) + if effort == "max" and not ( + AnthropicConfig._is_opus_4_6_model(model) + or AnthropicConfig._is_opus_4_7_model(model) + or AmazonConverseConfig._supports_effort_level_on_bedrock(model, "max") + ): + raise litellm.exceptions.BadRequestError( + message=( + f"effort='max' is not supported by this model. " + f"Got model: {model}" + ), + model=model, + llm_provider="bedrock_converse", + ) + if ( + effort == "xhigh" + and not AmazonConverseConfig._supports_effort_level_on_bedrock( + model, "xhigh" + ) + ): + raise litellm.exceptions.BadRequestError( + message=( + f"effort='xhigh' is not supported by this model. " + f"Got model: {model}" + ), + model=model, + llm_provider="bedrock_converse", + ) @staticmethod def _clamp_thinking_budget_tokens(optional_params: dict) -> None: @@ -1196,9 +1306,15 @@ class AmazonConverseConfig(BaseConfig): + supported_config_params ) inference_params.pop("json_mode", None) # used for handling json_schema - # Anthropic-only key. Bedrock expects `outputConfig` (camelCase) and - # will reject `output_config` if it leaks through pass-through routes. - inference_params.pop("output_config", None) + + # Anthropic-only ``output_config`` (snake_case) is the adaptive- + # thinking effort payload (e.g. ``{"effort": "max"}``) for Claude + # 4.6/4.7. On Bedrock Converse it must ride along inside + # ``additionalModelRequestFields`` so the model actually sees the + # tier; stripping it (the prior behavior) silently flattened every + # adaptive tier to identical thinking. Only the Bedrock-native + # ``outputConfig`` (camelCase) goes at the top level. + anthropic_output_config = inference_params.pop("output_config", None) # Extract requestMetadata before processing other parameters request_metadata = inference_params.pop("requestMetadata", None) @@ -1208,9 +1324,6 @@ class AmazonConverseConfig(BaseConfig): output_config: Optional[OutputConfigBlock] = inference_params.pop( "outputConfig", None ) - inference_params.pop( - "output_config", None - ) # Bedrock Converse doesn't support it # keep supported params in 'inference_params', and set all model-specific params in 'additional_request_params' additional_request_params = { @@ -1253,6 +1366,20 @@ class AmazonConverseConfig(BaseConfig): additional_request_params ) + # Re-attach the Anthropic ``output_config`` (e.g. adaptive thinking + # ``{"effort": "max"}``) onto additional_request_params for Anthropic + # Bedrock models so the wire request carries the requested tier. Other + # model families (Nova, GPT-OSS, ...) don't accept it; drop it for them. + if anthropic_output_config is not None and isinstance( + anthropic_output_config, dict + ): + base_model = BedrockModelInfo.get_base_model(model) + if base_model.startswith("anthropic"): + effort = anthropic_output_config.get("effort") + if effort is not None: + self._validate_anthropic_adaptive_effort(model=model, effort=effort) + additional_request_params["output_config"] = anthropic_output_config + return ( inference_params, additional_request_params, diff --git a/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py index cff415d49ec..7de05c977ca 100644 --- a/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py @@ -169,7 +169,11 @@ class AmazonAnthropicClaudeConfig(AmazonInvokeConfig, AnthropicConfig): anthropic_request.pop("model", None) anthropic_request.pop("stream", None) anthropic_request.pop("output_format", None) - anthropic_request.pop("output_config", None) + # ``output_config`` (e.g. ``{"effort": "max"}``) is the adaptive-thinking + # tier payload for Claude 4.6 / 4.7. Bedrock Invoke accepts it for + # those models — stripping it (the prior behavior) silently flattened + # every adaptive tier on this route. Forward it; if the model rejects + # it the surfaced error is correct, vs. swallowing the user's knob. if "anthropic_version" not in anthropic_request: anthropic_request["anthropic_version"] = self.anthropic_version diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py index d450f7a4635..714877457fc 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py @@ -159,10 +159,11 @@ class VertexAIPartnerModelsAnthropicMessagesConfig(AnthropicMessagesConfig, Vert "model", None ) # do not pass model in request body to vertex ai - # Vertex AI Claude accepts ``output_config.format`` (structured outputs) - # and ``output_format``, but rejects ``output_config.effort`` with 400 - # "Extra inputs are not permitted". Sanitize in place so the supported - # bits flow through. + # Vertex AI Claude accepts ``output_config.format`` (structured outputs), + # ``output_format``, and ``output_config.effort`` (adaptive-thinking + # tier on Claude 4.6 / 4.7, verified end-to-end). The shared sanitize + # helper now no-ops for ``effort`` and remains the single hook for any + # future Vertex-only key drift. sanitize_vertex_anthropic_output_params(anthropic_messages_request) return anthropic_messages_request diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py index 982d8edbf20..891c8e4d058 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py @@ -11,11 +11,12 @@ keeps the parent module's import surface narrow. """ # Keys inside ``output_config`` that Vertex AI Claude does not accept. -# Today only ``effort`` triggers "Extra inputs are not permitted"; add new -# entries here as Vertex parity drifts. Keep this list narrow — anything -# Vertex DOES accept (e.g. ``format`` for structured outputs) must be -# preserved so callers can rely on Anthropic-native features. -VERTEX_UNSUPPORTED_OUTPUT_CONFIG_KEYS: frozenset = frozenset({"effort"}) +# Vertex now accepts ``output_config.effort`` for the adaptive-thinking +# Claude 4.6 / 4.7 models on direct ``:rawPredict`` (verified end-to-end +# against ``us-east5`` for ``opus-4-6`` and ``global`` for ``opus-4-7``). +# Keep this set narrow and only add a key here once a 400 "Extra inputs are +# not permitted" is reproducible against the live Vertex endpoint. +VERTEX_UNSUPPORTED_OUTPUT_CONFIG_KEYS: frozenset = frozenset() def sanitize_vertex_anthropic_output_params(data: dict) -> None: diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py index 914c7e92e5e..48920402e26 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py @@ -106,11 +106,10 @@ class VertexAIAnthropicConfig(AnthropicConfig): data.pop("model", None) # vertex anthropic doesn't accept 'model' parameter - # Vertex AI Claude accepts ``output_config.format`` (structured outputs / - # JSON Schema) but NOT ``output_config.effort`` — sending ``effort`` to - # Vertex returns 400 "Extra inputs are not permitted". Sanitize in place: - # forward the structured-output bits, drop the unsupported keys. - # Same treatment for the legacy top-level ``output_format`` field. + # Sanitize ``output_config`` / ``output_format`` for Vertex parity. + # Vertex now accepts ``output_config.effort`` for adaptive-thinking Claude + # 4.6 / 4.7 models, so the helper is a no-op for ``effort``; it remains + # the single hook for future Vertex-only sanitization. sanitize_vertex_anthropic_output_params(data) tools = optional_params.get("tools") diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py index 9ffb52ef88d..72e509d178f 100644 --- a/litellm/types/llms/bedrock.py +++ b/litellm/types/llms/bedrock.py @@ -1041,3 +1041,12 @@ class BedrockInvokeAnthropicMessagesRequest(TypedDict, total=False): # `metadata` is part of the common Anthropic Messages API shape. thinking: dict metadata: dict + + # ``output_config`` is the adaptive-thinking effort payload for + # Claude 4.6 / 4.7 (e.g. ``{"effort": "max"}``). Bedrock Invoke + # accepts it for these models when ``thinking={"type": "adaptive"}``. + # Without this field in the allowlist, the runtime filter in + # ``AmazonAnthropicClaudeMessagesConfig.transform_anthropic_messages_request`` + # silently drops it and every adaptive tier collapses to identical + # behavior on /v1/messages. + output_config: dict diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 76dcfc55c10..cc34446be04 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -9491,7 +9491,6 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, "claude-opus-4-7-20260416": { @@ -9526,7 +9525,6 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, "claude-sonnet-4-20250514": { diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index cbb9b21d620..0381b850d65 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -8,6 +8,7 @@ sys.path.insert( ) # Adds the parent directory to the system path from unittest.mock import MagicMock, patch +import litellm from litellm.constants import RESPONSE_FORMAT_TOOL_NAME from litellm.llms.anthropic.chat.transformation import AnthropicConfig from litellm.llms.anthropic.experimental_pass_through.messages.transformation import ( @@ -1631,8 +1632,10 @@ def test_effort_validation(): ) assert result["output_config"]["effort"] == effort - # Invalid value should raise error - with pytest.raises(ValueError, match="Invalid effort value"): + # Invalid value should raise BadRequestError (clean 400, not a 500). + with pytest.raises( + litellm.exceptions.BadRequestError, match="Invalid effort value" + ): optional_params = {"output_config": {"effort": "invalid"}} config.transform_request( model="claude-opus-4-5-20251101", @@ -1682,12 +1685,18 @@ def test_effort_validation_with_opus_46(): def test_max_effort_rejected_for_opus_45(): - """Test that effort='max' is rejected when using Claude Opus 4.5.""" + """Test that effort='max' is rejected when using Claude Opus 4.5. + + Surfaces as a clean 400 BadRequestError, not a 500 ValueError. + """ config = AnthropicConfig() messages = [{"role": "user", "content": "Test"}] - with pytest.raises(ValueError, match="effort='max' is not supported by this model"): + with pytest.raises( + litellm.exceptions.BadRequestError, + match="effort='max' is not supported by this model", + ): optional_params = {"output_config": {"effort": "max"}} config.transform_request( model="claude-opus-4-5-20251101", @@ -2153,12 +2162,14 @@ def test_reasoning_effort_maps_to_budget_thinking_for_non_opus_4_6(): """ config = AnthropicConfig() - # Test with Claude Sonnet 4.5 (non-Opus 4.6 model) + # Test with Claude Sonnet 4.5 (non-Opus 4.6 model). + # ``minimal`` floors at the Anthropic provider minimum (1024) because + # Anthropic / Azure / Vertex / Bedrock Invoke 400 below that. test_cases = [ ("low", 1024), # DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET ("medium", 2048), # DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET ("high", 4096), # DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET - ("minimal", 128), # DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET + ("minimal", 1024), # ANTHROPIC_MIN_THINKING_BUDGET_TOKENS (provider floor) ] for effort, expected_budget in test_cases: @@ -2245,11 +2256,17 @@ def test_reasoning_effort_does_not_set_output_config_for_older_models(): def test_max_effort_rejected_for_sonnet_46(): - """Test that effort='max' is rejected for Sonnet 4.6 (Opus-only effort level).""" + """Test that effort='max' is rejected for Sonnet 4.6 (Opus-only effort level). + + Surfaces as a clean 400 BadRequestError, not a 500 ValueError. + """ config = AnthropicConfig() messages = [{"role": "user", "content": "Test"}] - with pytest.raises(ValueError, match="effort='max' is not supported by this model"): + with pytest.raises( + litellm.exceptions.BadRequestError, + match="effort='max' is not supported by this model", + ): config.transform_request( model="claude-sonnet-4-6-20260219", messages=messages, @@ -2335,6 +2352,81 @@ def test_reasoning_effort_none_omits_thinking_and_output_config(model): assert "output_config" not in result +@pytest.mark.parametrize( + "effort", + ["disabled", "invalid", ""], +) +def test_reasoning_effort_garbage_raises_bad_request(effort): + """Unmapped / garbage / empty-string reasoning_effort surfaces as a clean + 400 ``BadRequestError`` instead of letting ``ValueError`` propagate as 500. + """ + config = AnthropicConfig() + + with pytest.raises(litellm.exceptions.BadRequestError): + config.map_openai_params( + non_default_params={"reasoning_effort": effort}, + optional_params={}, + model="claude-sonnet-4-5-20250929", + drop_params=False, + ) + + +@pytest.mark.parametrize( + "effort", + ["xhigh", "max"], +) +def test_reasoning_effort_unsupported_tier_on_budget_model_raises_bad_request( + effort, +): + """``xhigh`` / ``max`` aren't defined for budget-mode (4.5) Claude models; + surface as a clean 400 instead of 500. + """ + config = AnthropicConfig() + + with pytest.raises(litellm.exceptions.BadRequestError): + config.map_openai_params( + non_default_params={"reasoning_effort": effort}, + optional_params={}, + model="claude-sonnet-4-5-20250929", + drop_params=False, + ) + + +def test_output_config_effort_empty_string_raises_bad_request(): + """``output_config={"effort": ""}`` must be rejected with a 400 — the + legacy ``if effort and ...`` short-circuit silently let it pass + through (verified end-to-end on the QA sweep for PR #27039). + """ + config = AnthropicConfig() + + with pytest.raises(litellm.exceptions.BadRequestError, match="Invalid effort"): + config.transform_request( + model="claude-opus-4-7", + messages=[{"role": "user", "content": "hi"}], + optional_params={"output_config": {"effort": ""}, "max_tokens": 32}, + litellm_params={}, + headers={}, + ) + + +def test_reasoning_effort_minimal_floors_at_anthropic_provider_minimum(): + """Anthropic Messages API rejects ``budget_tokens < 1024``. ``minimal`` + must floor at the provider minimum so it's a usable tier on direct + Anthropic / Azure AI Anthropic / Vertex AI Anthropic / Bedrock Invoke. + """ + config = AnthropicConfig() + + result = config.map_openai_params( + non_default_params={"reasoning_effort": "minimal"}, + optional_params={}, + model="claude-sonnet-4-5-20250929", + drop_params=False, + ) + + assert result["thinking"]["type"] == "enabled" + assert result["thinking"]["budget_tokens"] >= 1024 + + def test_effort_beta_header_still_injected_for_older_models(): """ Test that is_effort_used still returns True for pre-4.6 models diff --git a/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py index 80d6d26e7ea..8689a05e8e6 100644 --- a/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py @@ -406,36 +406,37 @@ def test_opus_4_5_model_detection(): # f"computer-use beta should be kept, got: {anthropic_beta}" -def test_output_config_removed_from_bedrock_chat_invoke_request(): +def test_output_config_forwarded_for_bedrock_chat_invoke_request(): """ - Test that output_config parameter is stripped from Bedrock Chat Invoke requests. + Bedrock Invoke (chat/completions route) must forward + ``output_config`` for Anthropic adaptive-thinking models. The earlier + behavior stripped it unconditionally, which silently flattened every + adaptive tier (``low``/``medium``/``high``/``xhigh``/``max``) to identical + behavior on the wire. - Bedrock Invoke API doesn't support the output_config parameter (Anthropic-only). - Ensures the chat/invoke path mirrors the messages/invoke path fix. - - Fixes: https://github.com/BerriAI/litellm/issues/22797 + The wire QA at https://github.com/BerriAI/litellm/pull/27039 showed + ``thinking.type: adaptive`` was forwarded but ``output_config.effort`` + was always missing, even though direct curls to Anthropic's Bedrock + Invoke endpoint accept it. """ config = AmazonAnthropicClaudeConfig() messages = [{"role": "user", "content": "test"}] - # Inject output_config into optional_params (simulates Anthropic SDK forwarding it) optional_params = { "max_tokens": 100, "output_config": {"effort": "high"}, } result = config.transform_request( - model="anthropic.claude-sonnet-4-20250514-v1:0", + model="anthropic.claude-opus-4-7", messages=messages, optional_params=optional_params, litellm_params={}, headers={}, ) - assert ( - "output_config" not in result - ), f"output_config should be stripped for Bedrock Chat Invoke, got keys: {list(result.keys())}" + assert result.get("output_config") == {"effort": "high"} # Verify normal params survive assert result["max_tokens"] == 100 diff --git a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py index 5bb51ac619c..01dbc81fbb8 100644 --- a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py +++ b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py @@ -310,6 +310,111 @@ def test_reasoning_effort_none_omits_thinking_for_anthropic_converse(model): assert "thinking" not in optional_params +@pytest.mark.parametrize( + "model,effort,expected_effort", + [ + ("bedrock/converse/us.anthropic.claude-opus-4-7", "low", "low"), + ("bedrock/converse/us.anthropic.claude-opus-4-7", "medium", "medium"), + ("bedrock/converse/us.anthropic.claude-opus-4-7", "high", "high"), + ("bedrock/converse/us.anthropic.claude-opus-4-7", "xhigh", "xhigh"), + ("bedrock/converse/us.anthropic.claude-opus-4-7", "max", "max"), + ("bedrock/converse/us.anthropic.claude-opus-4-6-v1", "max", "max"), + ("bedrock/converse/us.anthropic.claude-sonnet-4-6", "high", "high"), + ("bedrock/converse/us.anthropic.claude-sonnet-4-6", "minimal", "low"), + ], +) +def test_reasoning_effort_sets_output_config_for_adaptive_models_converse( + model, effort, expected_effort +): + """Adaptive-thinking Claude 4.6 / 4.7 on Bedrock Converse must carry the + requested tier via ``output_config.effort``. The prior strip silently + flattened every adaptive tier on the wire (verified in the PR #27039 + QA sweep).""" + config = AmazonConverseConfig() + + optional_params = config.map_openai_params( + non_default_params={"reasoning_effort": effort}, + optional_params={}, + model=model, + drop_params=False, + ) + + assert optional_params["thinking"]["type"] == "adaptive" + assert optional_params["output_config"] == {"effort": expected_effort} + + +@pytest.mark.parametrize( + "model", + [ + "bedrock/converse/us.anthropic.claude-opus-4-7", + "bedrock/converse/us.anthropic.claude-opus-4-6-v1", + "bedrock/converse/us.anthropic.claude-sonnet-4-6", + ], +) +def test_output_config_effort_forwarded_into_additional_request_fields(model): + """``output_config`` must ride along inside ``additionalModelRequestFields`` + so the Anthropic-on-Bedrock wire request actually carries the effort + tier. The prior ``inference_params.pop("output_config")`` dropped it + on the floor for every adaptive tier.""" + config = AmazonConverseConfig() + messages = [{"role": "user", "content": "hi"}] + + result = config._transform_request( + model=model, + messages=messages, + optional_params={ + "maxTokens": 256, + "thinking": {"type": "adaptive"}, + "output_config": {"effort": "high"}, + }, + litellm_params={}, + headers={}, + ) + + additional = result.get("additionalModelRequestFields", {}) + assert additional.get("output_config") == {"effort": "high"} + + +@pytest.mark.parametrize( + "effort", + ["disabled", "invalid", ""], +) +def test_reasoning_effort_garbage_raises_bad_request_converse(effort): + """Garbage / empty-string reasoning_effort on Bedrock Converse Anthropic + must surface as a clean 400 ``BadRequestError`` instead of 500. The + earlier ``ValueError`` from ``_map_reasoning_effort`` propagated up as + a generic 500 in the proxy and ate the request.""" + config = AmazonConverseConfig() + + with pytest.raises(litellm.exceptions.BadRequestError): + config.map_openai_params( + non_default_params={"reasoning_effort": effort}, + optional_params={}, + model="bedrock/converse/us.anthropic.claude-opus-4-7", + drop_params=False, + ) + + +def test_output_config_effort_unsupported_max_on_sonnet_46_raises_bad_request(): + """``effort='max'`` is Opus-only. On Sonnet 4.6 the explicit-output_config + path must surface a 400 (matching the chat-completion validation), not + silently forward an unsupported tier to Bedrock.""" + config = AmazonConverseConfig() + messages = [{"role": "user", "content": "hi"}] + + with pytest.raises(litellm.exceptions.BadRequestError): + config._transform_request( + model="bedrock/converse/us.anthropic.claude-sonnet-4-6", + messages=messages, + optional_params={ + "maxTokens": 256, + "output_config": {"effort": "max"}, + }, + litellm_params={}, + headers={}, + ) + + def test_get_supported_openai_params(): config = AmazonConverseConfig() supported_params = config.get_supported_openai_params( diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index 93d56d4cd0d..725bc9503b2 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -592,12 +592,16 @@ def test_remove_scope_from_cache_control(): assert request["messages"][0]["content"][0]["cache_control"]["type"] == "ephemeral" -def test_bedrock_messages_strips_output_config(): +def test_bedrock_messages_forwards_output_config(): """ - Ensure output_config is stripped from the request before sending to - Bedrock Invoke, which doesn't support this Anthropic-specific parameter. + ``output_config`` is the adaptive-thinking effort payload for Claude + 4.6 / 4.7 (e.g. ``{"effort": "max"}``). Bedrock Invoke accepts it for + those models — the prior behavior of stripping it silently flattened + every adaptive tier on /v1/messages so ``low`` / ``medium`` / ``high`` / + ``xhigh`` / ``max`` all collapsed to identical thinking with no tier + differentiation. - Regression test for: https://github.com/BerriAI/litellm/issues/22797 + Regression coverage for the QA bug listed on PR #27039. """ from litellm.types.router import GenericLiteLLMParams @@ -611,25 +615,24 @@ def test_bedrock_messages_strips_output_config(): } result = cfg.transform_anthropic_messages_request( - model="anthropic.claude-3-haiku-20240307-v1:0", + model="anthropic.claude-opus-4-7", messages=messages, anthropic_messages_optional_request_params=optional_params, litellm_params=GenericLiteLLMParams(), headers={}, ) - assert ( - "output_config" not in result - ), "output_config should be stripped — Bedrock Invoke rejects it" + assert result.get("output_config") == {"effort": "high"} # Other params should be preserved assert result.get("max_tokens") == 4096 -def test_bedrock_messages_strips_output_config_with_output_format(): +def test_bedrock_messages_forwards_output_config_with_output_format(): """ - When both output_config and output_format are present, both should be - stripped (output_format is converted to inline schema, output_config - is simply dropped). + When both output_config and output_format are present, output_format is + converted to inline schema (Bedrock Invoke doesn't accept output_format + natively), and output_config is forwarded for Claude 4.6/4.7 adaptive + thinking. """ from litellm.types.router import GenericLiteLLMParams @@ -648,14 +651,14 @@ def test_bedrock_messages_strips_output_config_with_output_format(): } result = cfg.transform_anthropic_messages_request( - model="anthropic.claude-3-haiku-20240307-v1:0", + model="anthropic.claude-opus-4-7", messages=messages, anthropic_messages_optional_request_params=optional_params, litellm_params=GenericLiteLLMParams(), headers={}, ) - assert "output_config" not in result + assert result.get("output_config") == {"effort": "low"} assert "output_format" not in result @@ -728,13 +731,18 @@ def test_bedrock_messages_allowlist_filters_anthropic_only_fields(): "mcp_servers", "container", "inference_geo", - "output_config", "context_management", "model", "stream", ): assert bad not in result, f"{bad} should be stripped by the allowlist" + # ``output_config`` rides along — Bedrock Invoke accepts it for Claude + # 4.6/4.7 adaptive thinking and stripping it silently flattens every + # adaptive tier. (Bedrock will reject it for non-adaptive models, which + # is the correct behavior — surface the model error rather than swallow + # the knob.) + assert result.get("output_config") == {"effort": "low"} # Supported fields pass through. assert result["max_tokens"] == 4096 assert result["temperature"] == 0.5 @@ -882,7 +890,10 @@ async def test_promote_message_start_cache_when_message_stop_omits_cache_fields( "delta": {"stop_reason": "end_turn", "stop_sequence": None}, "usage": {"input_tokens": 10, "output_tokens": 181}, } - yield {"type": "message_stop", "usage": {"input_tokens": 10, "output_tokens": 181}} + yield { + "type": "message_stop", + "usage": {"input_tokens": 10, "output_tokens": 181}, + } merged: list[dict] = [] async for chunk in cfg._promote_message_stop_usage(_stream()): @@ -936,7 +947,11 @@ async def test_unified_bedrock_messages_cache_on_start_only_never_negative_cost( }, }, } - yield {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}} + yield { + "type": "content_block_start", + "index": 0, + "content_block": {"type": "text", "text": ""}, + } yield { "type": "content_block_delta", "index": 0, @@ -948,7 +963,10 @@ async def test_unified_bedrock_messages_cache_on_start_only_never_negative_cost( "delta": {"stop_reason": "end_turn", "stop_sequence": None}, "usage": {"output_tokens": 181, "input_tokens": 10}, } - yield {"type": "message_stop", "usage": {"input_tokens": 10, "output_tokens": 181}} + yield { + "type": "message_stop", + "usage": {"input_tokens": 10, "output_tokens": 181}, + } logging_obj = LiteLLMLoggingObj( model="bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0", diff --git a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py index d0be476d72e..0a5ba12f187 100644 --- a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py @@ -498,11 +498,14 @@ def test_vertex_ai_partner_models_anthropic_remove_prompt_caching_scope_beta_hea ), "Header should be removed if no supported values remain" -def test_vertex_ai_anthropic_output_config_effort_only_dropped(): +def test_vertex_ai_anthropic_output_config_effort_only_forwarded(): """ - ``output_config`` containing only ``effort`` (an Anthropic-only key Vertex - rejects with "Extra inputs are not permitted") is dropped entirely so the - request body has no empty dict. + Vertex AI Claude 4.6 / 4.7 accept ``output_config.effort`` on direct + ``:rawPredict`` (verified end-to-end against ``us-east5`` for + ``claude-opus-4-6`` and ``global`` for ``claude-opus-4-7``). The earlier + strip silently flattened every adaptive tier on Vertex, so ``low`` / + ``medium`` / ``high`` / ``xhigh`` / ``max`` all produced identical + thinking with no tier differentiation. """ config = VertexAIAnthropicConfig() @@ -515,16 +518,14 @@ def test_vertex_ai_anthropic_output_config_effort_only_dropped(): } result = config.transform_request( - model="claude-3-5-sonnet-20241022", + model="claude-opus-4-6", messages=messages, optional_params=optional_params, litellm_params={}, headers=headers, ) - assert ( - "output_config" not in result - ), "output_config containing only effort must be dropped" + assert result["output_config"] == {"effort": "high"} assert result["max_tokens"] == 1024 assert "messages" in result @@ -566,13 +567,15 @@ def test_vertex_ai_anthropic_output_config_format_passes_through(): assert result["output_config"] == output_config -def test_vertex_ai_anthropic_output_config_format_plus_effort_strips_only_effort(): +def test_vertex_ai_anthropic_output_config_format_plus_effort_preserved(): """ - Greptile P1 on PR #23396: when ``output_config`` contains BOTH ``format`` - and ``effort``, the prior conditional-passthrough logic forwarded the - full dict including the unsupported ``effort`` key, reproducing the - 400 error the fix was meant to resolve. Only ``effort`` (and any future - Vertex-unsupported keys) should be filtered; ``format`` must survive. + Vertex AI Claude 4.6 / 4.7 accept ``output_config.effort`` on direct + ``:rawPredict`` (verified end-to-end against ``us-east5`` for + ``claude-opus-4-6`` and ``global`` for ``claude-opus-4-7``). Since the + strip was unjustified, ``effort`` must now ride along with ``format``. + + We use a Claude 4.6 model id here because ``_apply_output_config`` only + accepts ``effort`` on adaptive-thinking 4.6/4.7 model ids. """ config = VertexAIAnthropicConfig() messages = [{"role": "user", "content": "Return a person object."}] @@ -591,7 +594,7 @@ def test_vertex_ai_anthropic_output_config_format_plus_effort_strips_only_effort optional_params = {"max_tokens": 1024, "output_config": output_config} result = config.transform_request( - model="claude-3-5-sonnet-20241022", + model="claude-opus-4-6", messages=messages, optional_params=optional_params, litellm_params={}, @@ -599,9 +602,7 @@ def test_vertex_ai_anthropic_output_config_format_plus_effort_strips_only_effort ) assert "output_config" in result - assert ( - "effort" not in result["output_config"] - ), "effort must be stripped — Vertex returns 400 on unknown keys" + assert result["output_config"]["effort"] == "high" assert result["output_config"]["format"] == output_config["format"] @@ -623,14 +624,14 @@ def test_vertex_ai_anthropic_output_config_non_dict_dropped(): assert "output_config" not in result -def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_dropped(): +def test_vertex_ai_anthropic_output_format_and_output_config_effort_preserved(): """ - When the request carries both ``output_format`` (top-level structured - outputs) AND an ``output_config`` whose only useful key for Vertex is - ``effort``: ``output_format`` must be forwarded (Vertex accepts it), - while ``output_config`` is dropped because Vertex returns 400 on - ``effort``. This replaces the old "drop both" behavior, which was the - silent strip the bug report flagged. + Vertex AI Claude 4.6 / 4.7 accept ``output_config.effort`` on direct + ``:rawPredict`` (verified end-to-end). When both ``output_format`` and + ``output_config: {effort}`` are present, both must be forwarded — the + earlier ``effort`` strip caused silent loss of the requested adaptive + thinking tier on Vertex routes (``low``/``medium``/``high``/``xhigh``/``max`` + all collapsed to identical adaptive thinking with no tier differentiation). """ config = VertexAIAnthropicConfig() messages = [{"role": "user", "content": "Extract structured data"}] @@ -653,7 +654,7 @@ def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_droppe } test_data = { - "model": "claude-3-5-sonnet-20241022", + "model": "claude-opus-4-6", "messages": messages, "max_tokens": 2048, "output_format": output_format, @@ -671,7 +672,7 @@ def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_droppe try: result = config.transform_request( - model="claude-3-5-sonnet-20241022", + model="claude-opus-4-6", messages=messages, optional_params=optional_params, litellm_params={}, @@ -680,9 +681,8 @@ def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_droppe # output_format flows through unchanged — Vertex AI Claude accepts it. assert result["output_format"] == output_format - # output_config containing only ``effort`` is dropped to avoid the - # 400 "Extra inputs are not permitted" the silent strip used to mask. - assert "output_config" not in result + # output_config.effort now flows through (Vertex accepts it on 4.6/4.7). + assert result["output_config"] == {"effort": "high"} assert result["max_tokens"] == 2048 assert "model" not in result, "model is still stripped (Vertex routes by URL)" finally: @@ -702,10 +702,10 @@ def test_sanitize_vertex_anthropic_output_params_unit(): sanitize_vertex_anthropic_output_params(data) assert data == {"max_tokens": 8} - # Effort-only → dropped entirely. + # Effort-only → preserved (Vertex 4.6/4.7 accept it on rawPredict). data = {"output_config": {"effort": "high"}} sanitize_vertex_anthropic_output_params(data) - assert "output_config" not in data + assert data["output_config"] == {"effort": "high"} # Format-only → preserved unchanged. fmt = {"format": {"type": "json_schema", "schema": {"type": "object"}}} @@ -713,10 +713,10 @@ def test_sanitize_vertex_anthropic_output_params_unit(): sanitize_vertex_anthropic_output_params(data) assert data["output_config"] == fmt - # Mixed → effort filtered, format kept. + # Mixed → both effort and format kept (no current Vertex-unsupported keys). data = {"output_config": {"format": fmt["format"], "effort": "high"}} sanitize_vertex_anthropic_output_params(data) - assert data["output_config"] == fmt + assert data["output_config"] == {"format": fmt["format"], "effort": "high"} # Non-dict → dropped defensively. data = {"output_config": "garbage"} From 13714586b63a026df9dbdac6b793fef1366b0461 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 04:02:29 +0000 Subject: [PATCH 105/160] fix(constants): make ANTHROPIC_MIN_THINKING_BUDGET_TOKENS a plain constant MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The documentation CI test (tests/documentation_tests/test_env_keys.py) asserts every os.getenv() key in the source has a matching entry in the litellm-docs config_settings.md table. ANTHROPIC_MIN_THINKING_BUDGET_TOKENS tracks Anthropic's published wire-protocol minimum (1024) — it's not a user-tunable, so making it env-overridable was wrong anyway. Drop the os.getenv() wrapper; the value is now a plain literal. Co-authored-by: Mateo Wang --- litellm/constants.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/litellm/constants.py b/litellm/constants.py index 177fb024d69..7bf94971a39 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -402,13 +402,12 @@ BEDROCK_MIN_THINKING_BUDGET_TOKENS = int( # Anthropic's Messages API rejects ``thinking.budget_tokens < 1024`` with a # 400. ``reasoning_effort='minimal'`` historically mapped to 128 (the global # default) which always 400'd against direct Anthropic, Azure AI Anthropic, -# Vertex AI Anthropic, and Bedrock Invoke. Use the provider minimum so -# ``minimal`` is a usable tier on all Anthropic-backed routes; Bedrock -# Converse already clamped to 1024 server-side, so this just unifies the -# behavior. -ANTHROPIC_MIN_THINKING_BUDGET_TOKENS = int( - os.getenv("ANTHROPIC_MIN_THINKING_BUDGET_TOKENS", 1024) -) +# Vertex AI Anthropic, and Bedrock Invoke. Floor at the provider minimum so +# ``minimal`` is a usable tier on every Anthropic-backed route; Bedrock +# Converse already clamps server-side, this just unifies the behavior. +# Constant — not env-overridable — because it tracks Anthropic's published +# wire-protocol minimum, not a tunable. +ANTHROPIC_MIN_THINKING_BUDGET_TOKENS = 1024 REPLICATE_POLLING_DELAY_SECONDS = float( os.getenv("REPLICATE_POLLING_DELAY_SECONDS", 0.5) ) From ec022fd1bb0c827e47bd97e333f7dc675b53fb4d Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 07:46:38 +0000 Subject: [PATCH 106/160] fix(anthropic,bedrock): correct effort error message and dedupe effort_map - Remove 'none' from the Bedrock _validate_anthropic_adaptive_effort error message; it was listed as a valid value but rejected by the membership check, leaving users in a feedback loop if they tried 'none'. - Hoist the duplicated reasoning_effort -> output_config.effort mapping out of AnthropicConfig.map_openai_params and AmazonConverseConfig._handle_reasoning_effort_parameter into a single AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT class constant so the two routes cannot drift. --- litellm/llms/anthropic/chat/transformation.py | 24 ++++++++++++------- .../bedrock/chat/converse_transformation.py | 16 +++++-------- 2 files changed, 21 insertions(+), 19 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 7b07a96ca5b..a1cff6b2e23 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -108,6 +108,18 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): metadata: Optional[dict] = None system: Optional[str] = None + # Shared mapping from OpenAI ``reasoning_effort`` values to Anthropic + # ``output_config.effort`` tier values. Used by both the direct Anthropic + # path and the Bedrock Converse path so the two routes cannot drift. + REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Dict[str, str] = { + "low": "low", + "minimal": "low", + "medium": "medium", + "high": "high", + "xhigh": "xhigh", + "max": "max", + } + def __init__( self, max_tokens: Optional[int] = None, @@ -1121,15 +1133,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): if AnthropicConfig._is_claude_4_6_model( model ) or AnthropicConfig._is_claude_4_7_model(model): - effort_map = { - "low": "low", - "minimal": "low", - "medium": "medium", - "high": "high", - "xhigh": "xhigh", - "max": "max", - } - mapped_effort = effort_map.get(value, value) + mapped_effort = AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + value, value + ) optional_params["output_config"] = {"effort": mapped_effort} elif param == "web_search_options" and isinstance(value, dict): hosted_web_search_tool = self.map_web_search_tool( diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 9e46a5f2ae1..7f42743cfc4 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -485,15 +485,11 @@ class AmazonConverseConfig(BaseConfig): if AnthropicConfig._is_claude_4_6_model( model ) or AnthropicConfig._is_claude_4_7_model(model): - effort_map = { - "low": "low", - "minimal": "low", - "medium": "medium", - "high": "high", - "xhigh": "xhigh", - "max": "max", - } - mapped_effort = effort_map.get(reasoning_effort, reasoning_effort) + mapped_effort = ( + AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + reasoning_effort, reasoning_effort + ) + ) self._validate_anthropic_adaptive_effort( model=model, effort=mapped_effort ) @@ -534,7 +530,7 @@ class AmazonConverseConfig(BaseConfig): message=( f"Invalid reasoning_effort/output_config.effort value: " f"{effort!r}. Must be one of: 'low', 'medium', 'high', " - f"'xhigh', 'max', or 'none'." + f"'xhigh', or 'max'." ), model=model, llm_provider="bedrock_converse", From e400de4654404749a64af7cbda985a47e8855fb7 Mon Sep 17 00:00:00 2001 From: Claude Date: Sun, 3 May 2026 08:28:28 +0000 Subject: [PATCH 107/160] fix(anthropic): translate reasoning_effort on /v1/messages route MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Closes the remaining QA-sweep gap on PR #27074: Bedrock Invoke /v1/messages was silently ignoring ``reasoning_effort`` because the shared param filter only kept native Anthropic keys, so every effort tier collapsed to the same behavior on the wire (27/231 cells failing across opus-4-5 / opus-4-6 / sonnet-4-6). Map ``reasoning_effort`` to native Anthropic ``thinking`` / ``output_config.effort`` at the ``AnthropicMessagesConfig`` layer so all four /v1/messages routes (direct Anthropic, Azure AI, Vertex AI, Bedrock Invoke) inherit the same translation: - Add ``reasoning_effort`` to ``AnthropicMessagesRequestOptionalParams`` so the param filter in ``AnthropicMessagesRequestUtils.get_requested_anthropic_messages_optional_param`` no longer drops it before the transformation runs. - Add ``_translate_reasoning_effort_to_anthropic`` and call it from ``transform_anthropic_messages_request``. Mirrors ``AnthropicConfig.map_openai_params`` on the chat completion path (re-uses ``_map_reasoning_effort`` and ``REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT``) so the two routes cannot drift. Pops ``reasoning_effort`` so it never reaches the wire. - Caller-supplied native ``thinking`` / ``output_config.effort`` always win — same precedence as ``_translate_legacy_thinking_for_adaptive_model``. - Garbage values (``""``, ``"disabled"``, ``"invalid"``) raise ``AnthropicError(status_code=400)`` instead of falling through and surfacing as 500s from the provider. - ``"none"`` clears thinking + output_config so callers can opt out per request. Also restores the non-adaptive-model test coverage on Bedrock Invoke /v1/messages that the previous commit lost when ``test_bedrock_messages_strips_output_config`` was renamed to the ``forwards`` variant on Opus 4.7. Adds a new test file ``test_reasoning_effort_translation.py`` covering the translation at the shared config level (adaptive + non-adaptive models, none, garbage, caller precedence) so all four /v1/messages routes are exercised by a single suite. Adds parametrized + behavioral tests on the Bedrock Invoke /v1/messages suite covering: minimal/low/medium/high/xhigh/max mapping for adaptive models, thinking-budget mapping for non-adaptive Opus 4.5, ``none`` clears both, garbage raises 400, explicit ``output_config`` wins. Refs: https://github.com/BerriAI/litellm/pull/27074 --- litellm/llms/anthropic/chat/transformation.py | 5 +- .../messages/transformation.py | 77 +++++++ litellm/types/llms/anthropic.py | 7 + .../test_reasoning_effort_translation.py | 184 ++++++++++++++++ .../test_anthropic_claude3_transformation.py | 205 ++++++++++++++++++ 5 files changed, 477 insertions(+), 1 deletion(-) create mode 100644 tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index a1cff6b2e23..098a074892f 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -1580,7 +1580,10 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): ) # ``max`` is for Opus 4.6+ output effort (not Sonnet 4.6, not Opus 4.5). # Accept known Opus 4.6/4.7 id patterns and/or ``supports_max_reasoning_effort`` - # in the model map (same pattern as ``xhigh`` below). + # in the model map (same pattern as ``xhigh`` below). The hardcoded + # patterns cover OpenRouter/GitHub Copilot/Vercel variants that don't + # carry the model-map flag yet — keep both checks until those provider + # entries are fully populated. if effort == "max" and not ( self._is_opus_4_6_model(model) or self._is_opus_4_7_model(model) diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py index 7617ad52ab1..b737bf9aaff 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py @@ -47,6 +47,10 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): "inference_geo", "speed", "output_config", + # OpenAI-style tier knob — translated to native ``thinking`` + + # ``output_config`` in ``transform_anthropic_messages_request`` + # and popped before the request is forwarded. + "reasoning_effort", # TODO: Add Anthropic `metadata` support # "metadata", ] @@ -166,6 +170,74 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): return headers, api_base + @staticmethod + def _translate_reasoning_effort_to_anthropic( + model: str, optional_params: Dict + ) -> None: + """Map OpenAI-style ``reasoning_effort`` to native Anthropic params. + + The /v1/messages spec doesn't include ``reasoning_effort`` — without + this translation it gets silently dropped, leaving every adaptive + tier collapsed to the same behavior on Bedrock Invoke /v1/messages + (and on Anthropic / Azure AI / Vertex AI when callers pass it on + the messages route). Mirrors ``AnthropicConfig.map_openai_params`` + on the chat completion path so the two routes can't drift. + + - Pops ``reasoning_effort`` from ``optional_params`` so it never + reaches the wire. + - Caller-supplied ``thinking`` / ``output_config`` always win — we + don't override an explicit native value. + - Effort=``none`` clears thinking + output_config so callers can + opt out per request. + - Invalid efforts raise ``BadRequestError`` (clean 400) instead of + surfacing as 500s downstream. + """ + from litellm.llms.anthropic.chat.transformation import AnthropicConfig + + reasoning_effort = optional_params.pop("reasoning_effort", None) + if not isinstance(reasoning_effort, str): + return + + try: + mapped_thinking = AnthropicConfig._map_reasoning_effort( + reasoning_effort=reasoning_effort, model=model + ) + except ValueError as e: + raise AnthropicError(message=str(e), status_code=400) + + if mapped_thinking is None: + optional_params.pop("thinking", None) + optional_params.pop("output_config", None) + return + + optional_params.setdefault("thinking", mapped_thinking) + if AnthropicModelInfo._is_adaptive_thinking_model(model): + mapped_effort = ( + AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + reasoning_effort + ) + ) + # ``_map_reasoning_effort`` returns ``type=adaptive`` for any + # string on adaptive models without checking the value. The + # chat completion path validates the resolved effort downstream + # via ``_apply_output_config``; /v1/messages has no equivalent + # downstream check, so reject unmapped values here so callers + # see a clean 400 instead of a 500 from the provider. + if mapped_effort is None: + raise AnthropicError( + message=( + f"Invalid reasoning_effort: {reasoning_effort!r}. " + f"Must be one of: 'minimal', 'low', 'medium', 'high', " + f"'xhigh', 'max', 'none'" + ), + status_code=400, + ) + existing_output_config = optional_params.get("output_config") + if not isinstance(existing_output_config, dict): + existing_output_config = {} + existing_output_config.setdefault("effort", mapped_effort) + optional_params["output_config"] = existing_output_config + @staticmethod def _translate_legacy_thinking_for_adaptive_model( model: str, optional_params: Dict @@ -217,6 +289,11 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): status_code=400, ) + self._translate_reasoning_effort_to_anthropic( + model=model, + optional_params=anthropic_messages_optional_request_params, + ) + self._translate_legacy_thinking_for_adaptive_model( model=model, optional_params=anthropic_messages_optional_request_params, diff --git a/litellm/types/llms/anthropic.py b/litellm/types/llms/anthropic.py index c376b8694af..6c57d3dc07a 100644 --- a/litellm/types/llms/anthropic.py +++ b/litellm/types/llms/anthropic.py @@ -393,6 +393,13 @@ class AnthropicMessagesRequestOptionalParams(TypedDict, total=False): AnthropicOutputConfig ] # Configuration for Claude's output behavior cache_control: Optional[Dict[str, Any]] # Automatic prompt caching + # OpenAI-style ``reasoning_effort`` is accepted on /v1/messages so callers + # can drive adaptive/extended thinking with a single tier-name knob (the + # same vocabulary as the chat completion path). The transformation layer + # maps it to native Anthropic ``thinking`` + ``output_config`` and pops + # this key before the request is forwarded — no provider receives + # ``reasoning_effort`` on the wire. + reasoning_effort: Optional[str] class AnthropicMessagesRequest(AnthropicMessagesRequestOptionalParams, total=False): diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py new file mode 100644 index 00000000000..a2fcf1595bc --- /dev/null +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py @@ -0,0 +1,184 @@ +""" +Tests for OpenAI-style ``reasoning_effort`` translation on the Anthropic +/v1/messages route. + +The /v1/messages spec doesn't include ``reasoning_effort`` — without +translation it gets silently dropped at the filter step, leaving every +adaptive tier collapsed to the same behavior on Bedrock Invoke /v1/messages +(and on Anthropic / Azure AI / Vertex AI when callers pass it on the +messages route). + +These tests pin the translation and validation behavior at the shared +``AnthropicMessagesConfig`` level so all four /v1/messages routes +(direct Anthropic, Azure AI, Vertex AI, Bedrock Invoke) inherit the +same mapping. +""" + +import pytest + +from litellm.llms.anthropic.common_utils import AnthropicError +from litellm.llms.anthropic.experimental_pass_through.messages.transformation import ( + AnthropicMessagesConfig, +) + + +@pytest.mark.parametrize( + "reasoning_effort,expected_effort", + [ + ("minimal", "low"), + ("low", "low"), + ("medium", "medium"), + ("high", "high"), + ("xhigh", "xhigh"), + ("max", "max"), + ], +) +def test_reasoning_effort_maps_to_output_config_for_adaptive_model( + reasoning_effort, expected_effort +): + """ + For Claude 4.6 / 4.7, ``reasoning_effort`` is mapped to + ``thinking={"type": "adaptive"}`` plus ``output_config.effort=``, + using the same mapping table as the chat completion path so the two + routes can't drift. + """ + config = AnthropicMessagesConfig() + optional_params = {"max_tokens": 1024, "reasoning_effort": reasoning_effort} + + result = config.transform_anthropic_messages_request( + model="claude-opus-4-7", + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert "reasoning_effort" not in result + assert result.get("thinking") == {"type": "adaptive"} + assert result.get("output_config") == {"effort": expected_effort} + + +def test_reasoning_effort_none_clears_thinking_and_output_config(): + """``reasoning_effort='none'`` opts out of extended thinking entirely.""" + config = AnthropicMessagesConfig() + optional_params = { + "max_tokens": 1024, + "reasoning_effort": "none", + "thinking": {"type": "adaptive"}, + "output_config": {"effort": "high"}, + } + + result = config.transform_anthropic_messages_request( + model="claude-opus-4-7", + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert "reasoning_effort" not in result + assert "thinking" not in result + assert "output_config" not in result + + +def test_reasoning_effort_on_non_adaptive_model_uses_thinking_budget(): + """ + Non-adaptive models (Opus 4.5 / earlier) take ``thinking.budget_tokens`` + rather than ``output_config.effort``. The translation falls back to + the budget mapping in that case. + """ + config = AnthropicMessagesConfig() + optional_params = {"max_tokens": 1024, "reasoning_effort": "high"} + + result = config.transform_anthropic_messages_request( + model="claude-opus-4-5", + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert "reasoning_effort" not in result + assert "output_config" not in result + thinking = result.get("thinking") + assert isinstance(thinking, dict) + assert thinking.get("type") == "enabled" + assert isinstance(thinking.get("budget_tokens"), int) + assert thinking["budget_tokens"] >= 1024 + + +@pytest.mark.parametrize("bad_effort", ["invalid", "disabled", ""]) +def test_invalid_reasoning_effort_raises_400(bad_effort): + """ + Garbage ``reasoning_effort`` values surface as a clean 400 instead of + silently passing through to the provider as an unknown + ``output_config.effort`` (which would 500). + """ + config = AnthropicMessagesConfig() + optional_params = {"max_tokens": 1024, "reasoning_effort": bad_effort} + + with pytest.raises(AnthropicError) as exc_info: + config.transform_anthropic_messages_request( + model="claude-opus-4-7", + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert exc_info.value.status_code == 400 + + +def test_explicit_output_config_wins_over_reasoning_effort(): + """ + Explicit native ``output_config.effort`` is never overridden by the + OpenAI alias. Same precedence as + ``_translate_legacy_thinking_for_adaptive_model``. + """ + config = AnthropicMessagesConfig() + optional_params = { + "max_tokens": 1024, + "reasoning_effort": "low", + "output_config": {"effort": "max"}, + } + + result = config.transform_anthropic_messages_request( + model="claude-opus-4-7", + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert "reasoning_effort" not in result + assert result.get("output_config") == {"effort": "max"} + + +def test_explicit_thinking_wins_over_reasoning_effort(): + """Explicit native ``thinking`` is never overridden by the alias.""" + config = AnthropicMessagesConfig() + optional_params = { + "max_tokens": 1024, + "reasoning_effort": "low", + "thinking": {"type": "enabled", "budget_tokens": 8000}, + } + + result = config.transform_anthropic_messages_request( + model="claude-opus-4-5", + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert "reasoning_effort" not in result + assert result.get("thinking") == {"type": "enabled", "budget_tokens": 8000} + + +def test_reasoning_effort_in_supported_params(): + """``reasoning_effort`` is advertised as a supported messages param so + callers and validation paths can introspect the schema.""" + config = AnthropicMessagesConfig() + assert "reasoning_effort" in config.get_supported_anthropic_messages_params( + "claude-opus-4-7" + ) diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index 725bc9503b2..1bc9093b620 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -662,6 +662,211 @@ def test_bedrock_messages_forwards_output_config_with_output_format(): assert "output_format" not in result +def test_bedrock_messages_forwards_output_config_for_non_adaptive_model(): + """ + ``output_config`` is forwarded for non-adaptive models too (e.g. haiku). + Bedrock will reject the unsupported key for those models — surfacing the + provider error is the correct behavior, since silently swallowing the + knob would hide caller bugs. + + Restores coverage previously asserted by + ``test_bedrock_messages_strips_output_config`` (renamed to the + ``forwards`` variant on Opus 4.7); the strip path no longer exists, + but the non-adaptive pass-through path needs its own explicit test + so a future regression that silently re-adds the strip can't sneak + through. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "output_config": {"effort": "high"}, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert result.get("output_config") == {"effort": "high"} + assert result.get("max_tokens") == 4096 + + +@pytest.mark.parametrize( + "reasoning_effort,expected_effort", + [ + ("minimal", "low"), + ("low", "low"), + ("medium", "medium"), + ("high", "high"), + ("xhigh", "xhigh"), + ("max", "max"), + ], +) +def test_bedrock_messages_maps_reasoning_effort_for_adaptive_model( + reasoning_effort, expected_effort +): + """ + OpenAI-style ``reasoning_effort`` is mapped to native Anthropic + ``thinking`` + ``output_config.effort`` on the /v1/messages route so + callers can drive adaptive thinking with the same tier vocabulary as + the chat completion path. ``reasoning_effort`` itself is popped — the + /v1/messages spec doesn't define it and Bedrock rejects unknown + top-level fields. + + Closes the QA-sweep gap on PR #27074 where Bedrock Invoke /v1/messages + silently dropped ``reasoning_effort`` and every effort tier collapsed + to the same behavior. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "reasoning_effort": reasoning_effort, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-opus-4-7", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert "reasoning_effort" not in result + assert result.get("thinking") == {"type": "adaptive"} + assert result.get("output_config") == {"effort": expected_effort} + + +def test_bedrock_messages_reasoning_effort_on_non_adaptive_uses_thinking_budget(): + """ + For non-adaptive thinking models (e.g. Opus 4.5), ``reasoning_effort`` + is mapped to ``thinking.type=enabled`` with a budget_tokens value + instead of ``output_config.effort``. ``output_config`` is not set on + these models because they don't accept it. + + Mirrors ``AnthropicConfig._map_reasoning_effort`` behavior for the + non-adaptive branch on Opus 4.5 / earlier Claude 4 models, applied to + the /v1/messages route. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "reasoning_effort": "medium", + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-opus-4-5-20251101-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert "reasoning_effort" not in result + assert "output_config" not in result + thinking = result.get("thinking") + assert isinstance(thinking, dict) + assert thinking.get("type") == "enabled" + assert isinstance(thinking.get("budget_tokens"), int) + assert thinking["budget_tokens"] >= 1024 + + +def test_bedrock_messages_reasoning_effort_none_clears_thinking(): + """ + ``reasoning_effort='none'`` opts out — both ``thinking`` and + ``output_config`` are cleared so the request goes out without + extended thinking. Mirrors the chat completion path's behavior. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "reasoning_effort": "none", + "output_config": {"effort": "high"}, + "thinking": {"type": "adaptive"}, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-opus-4-7", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert "reasoning_effort" not in result + assert "thinking" not in result + assert "output_config" not in result + + +def test_bedrock_messages_invalid_reasoning_effort_raises_400(): + """ + Garbage ``reasoning_effort`` values (``invalid`` / ``disabled`` / ``""``) + surface as a clean 400 ``AnthropicError`` instead of silently passing + an invalid string through to Bedrock as ``output_config.effort``. + """ + from litellm.llms.anthropic.common_utils import AnthropicError + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + + for bad_effort in ("invalid", "disabled", ""): + with pytest.raises(AnthropicError): + cfg.transform_anthropic_messages_request( + model="anthropic.claude-opus-4-7", + messages=messages, + anthropic_messages_optional_request_params={ + "max_tokens": 4096, + "reasoning_effort": bad_effort, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + +def test_bedrock_messages_explicit_output_config_wins_over_reasoning_effort(): + """ + Caller-supplied native ``output_config.effort`` wins over the OpenAI + ``reasoning_effort`` knob. Same precedence as + ``_translate_legacy_thinking_for_adaptive_model``: explicit native + Anthropic params are never overridden by the alias. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "reasoning_effort": "low", + "output_config": {"effort": "max"}, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-opus-4-7", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert "reasoning_effort" not in result + assert result.get("output_config") == {"effort": "max"} + + def test_bedrock_messages_strips_context_management(): """ Ensure context_management is stripped from the request before sending to From 039b26626f3dc081fbaef9bf281c1922cdf6d83a Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 08:42:22 +0000 Subject: [PATCH 108/160] fix(anthropic,bedrock): reject unmapped reasoning_effort at mapping site Both the chat completion path (AnthropicConfig.map_openai_params) and the Bedrock Converse path (_handle_reasoning_effort_parameter) used REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(value, value) which falls back to the raw input on unmapped keys. Combined with _map_reasoning_effort returning type='adaptive' for any string on Claude 4.6/4.7, garbage values (e.g. 'disabled') could leak into optional_params['output_config']['effort'] unvalidated if map_openai_params ran without the downstream transform_request or _validate_anthropic_adaptive_effort check. Mirror the /v1/messages pattern: use .get(value) (no fallback) and raise BadRequestError immediately when the value is unmapped, co-locating validation with the mapping for defense in depth. --- litellm/llms/anthropic/chat/transformation.py | 21 ++++++++++++++++++- .../bedrock/chat/converse_transformation.py | 19 ++++++++++++++++- 2 files changed, 38 insertions(+), 2 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 098a074892f..d890b78624f 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -1133,9 +1133,28 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): if AnthropicConfig._is_claude_4_6_model( model ) or AnthropicConfig._is_claude_4_7_model(model): + # ``_map_reasoning_effort`` returns ``type=adaptive`` + # for any string on adaptive models without checking + # the value, so reject unmapped efforts here (matching + # the /v1/messages path) instead of relying on the + # downstream ``_apply_output_config`` check. Co-locating + # validation with the mapping prevents garbage from + # leaking into ``optional_params`` if ``map_openai_params`` + # is ever called without a subsequent ``transform_request``. mapped_effort = AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( - value, value + value ) + if mapped_effort is None: + raise litellm.exceptions.BadRequestError( + message=( + f"Invalid reasoning_effort: {value!r}. " + f"Must be one of: 'minimal', 'low', " + f"'medium', 'high', 'xhigh', 'max', 'none'" + ), + model=model, + llm_provider=self.custom_llm_provider + or "anthropic", + ) optional_params["output_config"] = {"effort": mapped_effort} elif param == "web_search_options" and isinstance(value, dict): hosted_web_search_tool = self.map_web_search_tool( diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 7f42743cfc4..6f9e8de62e5 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -485,11 +485,28 @@ class AmazonConverseConfig(BaseConfig): if AnthropicConfig._is_claude_4_6_model( model ) or AnthropicConfig._is_claude_4_7_model(model): + # Use ``.get()`` without a fallback so unmapped efforts + # (e.g. ``"disabled"``) surface as a clean 400 here + # rather than leaking the raw garbage string through to + # ``_validate_anthropic_adaptive_effort`` (which does + # catch it, but only because validation happens to run). + # Matches the /v1/messages pattern where validation is + # co-located with the mapping. mapped_effort = ( AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( - reasoning_effort, reasoning_effort + reasoning_effort ) ) + if mapped_effort is None: + raise litellm.exceptions.BadRequestError( + message=( + f"Invalid reasoning_effort: {reasoning_effort!r}. " + f"Must be one of: 'minimal', 'low', 'medium', " + f"'high', 'xhigh', 'max', 'none'" + ), + model=model, + llm_provider="bedrock_converse", + ) self._validate_anthropic_adaptive_effort( model=model, effort=mapped_effort ) From 47031c08d228e0ffe44f93e5a6cc5ebcbf62899c Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 08:45:08 +0000 Subject: [PATCH 109/160] style: black formatting Co-authored-by: Mateo Wang --- litellm/llms/anthropic/chat/transformation.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index d890b78624f..49f0543b7e1 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -1152,8 +1152,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): f"'medium', 'high', 'xhigh', 'max', 'none'" ), model=model, - llm_provider=self.custom_llm_provider - or "anthropic", + llm_provider=self.custom_llm_provider or "anthropic", ) optional_params["output_config"] = {"effort": mapped_effort} elif param == "web_search_options" and isinstance(value, dict): From 82d7405c6fbb8acf841715b172fe774037770e93 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sun, 3 May 2026 02:29:29 -0700 Subject: [PATCH 110/160] fix(anthropic): stop class-attr leak; gate xhigh/max on every route The reasoning-effort mapping dict was a public class attribute on AnthropicConfig, so BaseConfig.get_config returned it as a request parameter and every Anthropic-backed call (Anthropic / Azure / Vertex / Bedrock Invoke) hit a 400 'REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Extra inputs are not permitted' from the provider. Move the mapping to a module-level constant. _supports_effort_level only looked the model up under custom_llm_provider='anthropic', so bedrock-prefixed model ids (e.g. bedrock/invoke/us.anthropic.claude-opus-4-7) returned False for both 'max' and 'xhigh' even when the underlying model entry has the flag set. Strip known provider prefixes and retry the lookup against litellm.model_cost directly so per-model gating works on every route. Mirror the per-model xhigh/max gate from AnthropicConfig._apply_output_config in AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic so the /v1/messages route also raises a clean 400 instead of forwarding the unsupported tier. --- litellm/llms/anthropic/chat/transformation.py | 71 ++++++++++++++----- .../messages/transformation.py | 38 ++++++++-- .../bedrock/chat/converse_transformation.py | 11 +-- .../test_anthropic_chat_transformation.py | 39 ++++++++++ .../test_reasoning_effort_translation.py | 31 ++++++++ 5 files changed, 163 insertions(+), 27 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 49f0543b7e1..d800a865832 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -93,6 +93,16 @@ else: LoggingClass = Any +REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Dict[str, str] = { + "low": "low", + "minimal": "low", + "medium": "medium", + "high": "high", + "xhigh": "xhigh", + "max": "max", +} + + class AnthropicConfig(AnthropicModelInfo, BaseConfig): """ Reference: https://docs.anthropic.com/claude/reference/messages_post @@ -108,18 +118,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): metadata: Optional[dict] = None system: Optional[str] = None - # Shared mapping from OpenAI ``reasoning_effort`` values to Anthropic - # ``output_config.effort`` tier values. Used by both the direct Anthropic - # path and the Bedrock Converse path so the two routes cannot drift. - REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Dict[str, str] = { - "low": "low", - "minimal": "low", - "medium": "medium", - "high": "high", - "xhigh": "xhigh", - "max": "max", - } - def __init__( self, max_tokens: Optional[int] = None, @@ -217,15 +215,54 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): Mirrors the pattern used in ``openai/chat/gpt_5_transformation.py`` so that adding support for a new effort level is a pure model-map change. + Handles bedrock-prefixed and vertex-prefixed model ids by stripping + the prefix and re-checking against ``litellm.model_cost`` directly, + so a Bedrock-routed Claude 4.6/4.7 keeps its model-map flag. """ + key = f"supports_{level}_reasoning_effort" try: - return _supports_factory( + if _supports_factory( model=model, custom_llm_provider="anthropic", - key=f"supports_{level}_reasoning_effort", - ) + key=key, + ): + return True except Exception: - return False + pass + # Bedrock and Vertex route the model id with a provider-prefix + # (e.g. ``bedrock/invoke/us.anthropic.claude-opus-4-7``). Strip + # known prefixes and look the resulting Anthropic-flavoured key + # up directly in ``litellm.model_cost`` so the lookup keeps + # working regardless of which route the request arrived on. + candidates = [model] + for prefix in ( + "bedrock/converse/", + "bedrock/invoke/", + "bedrock/", + "vertex_ai/", + ): + if model.startswith(prefix): + candidates.append(model[len(prefix) :]) + try: + from litellm.llms.bedrock.common_utils import BedrockModelInfo + + base = BedrockModelInfo.get_base_model(model) + if base: + candidates.append(base) + candidates.append(f"bedrock/{base}") + except Exception: + pass + try: + import litellm + + for cand in candidates: + if cand in litellm.model_cost and ( + litellm.model_cost[cand].get(key) is True + ): + return True + except Exception: + pass + return False def get_supported_openai_params(self, model: str): params = [ @@ -1141,7 +1178,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): # validation with the mapping prevents garbage from # leaking into ``optional_params`` if ``map_openai_params`` # is ever called without a subsequent ``transform_request``. - mapped_effort = AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( value ) if mapped_effort is None: diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py index b737bf9aaff..98004f647ef 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py @@ -192,7 +192,10 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): - Invalid efforts raise ``BadRequestError`` (clean 400) instead of surfacing as 500s downstream. """ - from litellm.llms.anthropic.chat.transformation import AnthropicConfig + from litellm.llms.anthropic.chat.transformation import ( + REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT, + AnthropicConfig, + ) reasoning_effort = optional_params.pop("reasoning_effort", None) if not isinstance(reasoning_effort, str): @@ -212,10 +215,8 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): optional_params.setdefault("thinking", mapped_thinking) if AnthropicModelInfo._is_adaptive_thinking_model(model): - mapped_effort = ( - AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( - reasoning_effort - ) + mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + reasoning_effort ) # ``_map_reasoning_effort`` returns ``type=adaptive`` for any # string on adaptive models without checking the value. The @@ -232,6 +233,33 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): ), status_code=400, ) + # Per-model gating: ``xhigh`` and ``max`` are only valid on + # specific tiers (Opus 4.6/4.7 for max; data-driven for xhigh). + # The chat completion path enforces this via + # ``_apply_output_config``; mirror it here so /v1/messages + # callers see a clean 400 instead of a provider-side error. + if mapped_effort == "max" and not ( + AnthropicConfig._is_opus_4_6_model(model) + or AnthropicConfig._is_opus_4_7_model(model) + or AnthropicConfig._supports_effort_level(model, "max") + ): + raise AnthropicError( + message=( + f"effort='max' is not supported by this model. " + f"Got model: {model}" + ), + status_code=400, + ) + if mapped_effort == "xhigh" and not AnthropicConfig._supports_effort_level( + model, "xhigh" + ): + raise AnthropicError( + message=( + f"effort='xhigh' is not supported by this model. " + f"Got model: {model}" + ), + status_code=400, + ) existing_output_config = optional_params.get("output_config") if not isinstance(existing_output_config, dict): existing_output_config = {} diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 6f9e8de62e5..92fef67a601 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -31,7 +31,10 @@ from litellm.litellm_core_utils.prompt_templates.factory import ( _bedrock_converse_messages_pt, _bedrock_tools_pt, ) -from litellm.llms.anthropic.chat.transformation import AnthropicConfig +from litellm.llms.anthropic.chat.transformation import ( + REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT, + AnthropicConfig, +) from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException from litellm.types.llms.bedrock import * from litellm.types.llms.openai import ( @@ -492,10 +495,8 @@ class AmazonConverseConfig(BaseConfig): # catch it, but only because validation happens to run). # Matches the /v1/messages pattern where validation is # co-located with the mapping. - mapped_effort = ( - AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( - reasoning_effort - ) + mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + reasoning_effort ) if mapped_effort is None: raise litellm.exceptions.BadRequestError( diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index 0381b850d65..da4684ec9c9 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -1959,6 +1959,45 @@ def test_get_config_without_model_uses_fallback(): assert config["max_tokens"] == 4096 +def test_get_config_does_not_leak_module_constants(): + """``BaseConfig.get_config`` returns class attributes; the + reasoning-effort mapping must not be one of them or it ends up + serialised onto the wire as an extra request key. + """ + cfg = AnthropicConfig.get_config(model="claude-opus-4-7") + for forbidden in ( + "REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT", + "_REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT", + ): + assert forbidden not in cfg + + +@pytest.mark.parametrize( + "model,level,expected", + [ + ("claude-opus-4-7", "max", True), + ("claude-opus-4-7", "xhigh", True), + ("claude-opus-4-6", "max", True), + ("claude-opus-4-6", "xhigh", False), + ("claude-sonnet-4-6", "max", False), + ("claude-sonnet-4-6", "xhigh", False), + ("bedrock/invoke/us.anthropic.claude-opus-4-7", "max", True), + ("bedrock/invoke/us.anthropic.claude-opus-4-7", "xhigh", True), + ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "max", True), + ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh", False), + ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max", False), + ("vertex_ai/claude-opus-4-7", "xhigh", True), + ("azure_ai/claude-opus-4-7", "xhigh", True), + ], +) +def test_supports_effort_level_handles_provider_prefixes(model, level, expected): + """``_supports_effort_level`` must handle bedrock/ vertex_ai/ azure_ai/ + prefixed model ids so per-model gating works on every route, not just + the bare-Anthropic chat completion path. + """ + assert AnthropicConfig._supports_effort_level(model, level) is expected + + def test_transform_request_uses_dynamic_max_tokens(): """ Test that transform_request uses dynamic max_tokens based on model diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py index a2fcf1595bc..900bb15545a 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py @@ -129,6 +129,37 @@ def test_invalid_reasoning_effort_raises_400(bad_effort): assert exc_info.value.status_code == 400 +@pytest.mark.parametrize( + "model,bad_effort", + [ + ("claude-opus-4-6", "xhigh"), + ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh"), + ("claude-sonnet-4-6", "xhigh"), + ("claude-sonnet-4-6", "max"), + ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max"), + ], +) +def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort): + """``xhigh`` and ``max`` are gated per-model. The /v1/messages route must + surface a clean 400 client-side instead of forwarding the unsupported + tier and letting the provider 500/400 it. + """ + config = AnthropicMessagesConfig() + optional_params = {"max_tokens": 1024, "reasoning_effort": bad_effort} + + with pytest.raises(AnthropicError) as exc_info: + config.transform_anthropic_messages_request( + model=model, + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + assert exc_info.value.status_code == 400 + assert "not supported by this model" in str(exc_info.value) + + def test_explicit_output_config_wins_over_reasoning_effort(): """ Explicit native ``output_config.effort`` is never overridden by the From 09d37db8d90558d517d55a135c54c7314e8b1711 Mon Sep 17 00:00:00 2001 From: Claude Date: Sun, 3 May 2026 03:39:02 -0700 Subject: [PATCH 111/160] feat(anthropic,bedrock): strip output_config under drop_params for non-effort models MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When a proxy fronts Claude Code (which always sends `output_config.effort`) at a pre-4.5 Anthropic model — haiku-3, sonnet-3.5, opus-3, sonnet-4 — the forwarded knob causes a forced 400 the client can't fix. Gating a strip behind the existing `drop_params` flag lets operators opt into silent fixup once and stop worrying about per-model param hygiene. Default (`drop_params=False`) still forwards and surfaces the provider's error, preserving the strict, debuggable contract from #27074. Per https://platform.claude.com/docs/en/build-with-claude/effort the supporting set is Opus 4.5+, Sonnet 4.6+, and Mythos Preview; everything else is dropped (with a verbose_logger warning so the strip is visible). Recognition uses model-name patterns plus a fallback to any `supports_*_reasoning_effort` flag in the model map for forward compatibility with new entries. https://claude.ai/code/session_01WjHq31rvXT6xYNdVmSJvRp (cherry picked from commit 1233943e7861ba8a9062f792310ebd401cb03db8) --- litellm/llms/anthropic/chat/transformation.py | 73 +++++++++++++- .../bedrock/chat/converse_transformation.py | 24 ++++- .../anthropic_claude3_transformation.py | 19 ++++ .../test_anthropic_chat_transformation.py | 98 +++++++++++++++++++ .../chat/test_converse_transformation.py | 53 ++++++++++ .../test_anthropic_claude3_transformation.py | 64 ++++++++++++ 6 files changed, 326 insertions(+), 5 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index d800a865832..da435f8816c 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -1,7 +1,17 @@ import json import re import time -from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union, cast +from typing import ( + TYPE_CHECKING, + Any, + ClassVar, + Dict, + List, + Optional, + Tuple, + Union, + cast, +) import httpx @@ -264,6 +274,52 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): pass return False + # Per https://platform.claude.com/docs/en/build-with-claude/effort the + # ``output_config.effort`` parameter is supported on Opus 4.5+, Sonnet 4.6+ + # and Mythos Preview. Older Claude models (haiku-3, sonnet-3.5, opus-3, + # sonnet-4, ...) reject it with a 400. The patterns below let us recognize + # the supporting families regardless of route prefix (``anthropic.``, + # ``us.anthropic.``, ``vertex_ai/``, ``azure_ai/``, ...). + _EFFORT_SUPPORTING_MODEL_PATTERNS: ClassVar[Tuple[str, ...]] = ( + "opus-4-5", + "opus_4_5", + "opus-4.5", + "opus_4.5", + "opus-4-6", + "opus_4_6", + "opus-4.6", + "opus_4.6", + "opus-4-7", + "opus_4_7", + "opus-4.7", + "opus_4.7", + "sonnet-4-6", + "sonnet_4_6", + "sonnet-4.6", + "sonnet_4.6", + "mythos", + ) + + @staticmethod + def _model_supports_effort_param(model: str) -> bool: + """Whether the model accepts ``output_config.effort`` at all. + + Used to decide whether to strip ``output_config`` for known-incompatible + models when ``drop_params`` is set. New models that land in + ``model_prices_and_context_window.json`` with a ``supports_*_reasoning_effort`` + flag are auto-recognized; otherwise we fall back to the documented + family patterns above. + """ + model_lower = model.lower() + if any( + p in model_lower for p in AnthropicConfig._EFFORT_SUPPORTING_MODEL_PATTERNS + ): + return True + for level in ("low", "minimal", "medium", "high", "xhigh", "max"): + if AnthropicConfig._supports_effort_level(model, level): + return True + return False + def get_supported_openai_params(self, model: str): params = [ "stream", @@ -1618,6 +1674,21 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): output_config = optional_params.get("output_config") if not output_config or not isinstance(output_config, dict): return + # When ``drop_params`` is set, strip ``output_config`` for models that + # cannot accept it (e.g. proxy fronting Claude Code at haiku-3, where + # the client always sends effort but the model rejects it). The user + # opted into silent fixup via the global flag — log a warning so the + # strip is still visible in logs. + if litellm.drop_params is True and not self._model_supports_effort_param(model): + litellm.verbose_logger.warning( + "Dropping unsupported `output_config` for model=%s " + "(drop_params=True). Effort is only supported on Opus 4.5+, " + "Sonnet 4.6+, and Mythos Preview.", + model, + ) + optional_params.pop("output_config", None) + data.pop("output_config", None) + return effort = output_config.get("effort") # ``effort=""`` (empty string) and unmapped strings should be treated # as invalid, not silently passed through. We use ``effort is not None`` diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 92fef67a601..7fd6a87d9d9 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -1389,10 +1389,26 @@ class AmazonConverseConfig(BaseConfig): ): base_model = BedrockModelInfo.get_base_model(model) if base_model.startswith("anthropic"): - effort = anthropic_output_config.get("effort") - if effort is not None: - self._validate_anthropic_adaptive_effort(model=model, effort=effort) - additional_request_params["output_config"] = anthropic_output_config + # When ``drop_params`` is set, strip for models that don't + # accept effort (e.g. proxy routing Claude Code at haiku-3). + # Otherwise forward and let Bedrock surface the model's error. + if ( + litellm.drop_params is True + and not AnthropicConfig._model_supports_effort_param(model) + ): + litellm.verbose_logger.warning( + "Dropping unsupported `output_config` for model=%s " + "(drop_params=True). Effort is only supported on " + "Opus 4.5+, Sonnet 4.6+, and Mythos Preview.", + model, + ) + else: + effort = anthropic_output_config.get("effort") + if effort is not None: + self._validate_anthropic_adaptive_effort( + model=model, effort=effort + ) + additional_request_params["output_config"] = anthropic_output_config return ( inference_params, diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py index 1b15ebaa76f..a717dfb78ba 100644 --- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py @@ -12,9 +12,11 @@ from typing import ( import httpx +import litellm from litellm.anthropic_beta_headers_manager import filter_and_transform_beta_headers from litellm.constants import BEDROCK_MIN_THINKING_BUDGET_TOKENS from litellm.litellm_core_utils.litellm_logging import verbose_logger +from litellm.llms.anthropic.chat.transformation import AnthropicConfig from litellm.llms.anthropic.common_utils import AnthropicModelInfo from litellm.llms.anthropic.experimental_pass_through.messages.transformation import ( AnthropicMessagesConfig, @@ -580,6 +582,23 @@ class AmazonAnthropicClaudeMessagesConfig( if filtered_betas: anthropic_messages_request["anthropic_beta"] = filtered_betas + # 6a. When ``drop_params`` is set, strip ``output_config`` for models + # that don't accept it (e.g. proxy fronting Claude Code at haiku-3). + # Without this, every Claude Code request to a pre-4.5 Anthropic model + # routes a forced 400 from Bedrock that the client can't fix. + if ( + litellm.drop_params is True + and "output_config" in anthropic_messages_request + and not AnthropicConfig._model_supports_effort_param(model) + ): + verbose_logger.warning( + "Dropping unsupported `output_config` for model=%s " + "(drop_params=True). Effort is only supported on Opus 4.5+, " + "Sonnet 4.6+, and Mythos Preview.", + model, + ) + anthropic_messages_request.pop("output_config", None) + # 7. Final safety net: filter top-level fields to the Bedrock Invoke allowlist. # Catches Anthropic-only extensions (context_management, output_config, speed, # mcp_servers, ...) and any future additions Claude Code may start sending. diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index da4684ec9c9..eb40e76cc12 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -1748,6 +1748,104 @@ def test_effort_with_other_features(): assert "thinking" in result +def test_anthropic_drop_params_strips_output_config_for_pre_4_5_models(): + """ + Proxies fronting Claude Code at pre-4.5 Anthropic models receive + ``output_config`` injected by the client; without ``drop_params`` Bedrock / + Anthropic 400s. With ``drop_params=True`` we strip it (logged) so the + request can succeed. + """ + config = AnthropicConfig() + messages = [{"role": "user", "content": "Hello"}] + + original = litellm.drop_params + litellm.drop_params = True + try: + result = config.transform_request( + model="claude-3-haiku-20240307", + messages=messages, + optional_params={"output_config": {"effort": "low"}}, + litellm_params={}, + headers={}, + ) + finally: + litellm.drop_params = original + + assert "output_config" not in result + + +def test_anthropic_drop_params_keeps_output_config_for_supporting_models(): + """``drop_params=True`` must not strip on models that support effort.""" + config = AnthropicConfig() + messages = [{"role": "user", "content": "Hello"}] + + original = litellm.drop_params + litellm.drop_params = True + try: + result = config.transform_request( + model="claude-opus-4-7", + messages=messages, + optional_params={"output_config": {"effort": "high"}}, + litellm_params={}, + headers={}, + ) + finally: + litellm.drop_params = original + + assert result.get("output_config") == {"effort": "high"} + + +def test_anthropic_drop_params_false_forwards_to_unsupported_model(): + """ + Default behavior: forward ``output_config`` and let the provider 400. + This is the contract for users who want strict, debuggable failures. + """ + config = AnthropicConfig() + messages = [{"role": "user", "content": "Hello"}] + + original = litellm.drop_params + litellm.drop_params = False + try: + result = config.transform_request( + model="claude-3-haiku-20240307", + messages=messages, + optional_params={"output_config": {"effort": "low"}}, + litellm_params={}, + headers={}, + ) + finally: + litellm.drop_params = original + + assert result.get("output_config") == {"effort": "low"} + + +@pytest.mark.parametrize( + "model", + [ + "claude-opus-4-5-20251101", + "claude-opus-4-6", + "claude-opus-4-7", + "claude-sonnet-4-6", + "claude-mythos-preview", + ], +) +def test_anthropic_model_supports_effort_param_recognizes_supporting_models(model): + assert AnthropicConfig._model_supports_effort_param(model) is True + + +@pytest.mark.parametrize( + "model", + [ + "claude-3-haiku-20240307", + "claude-3-5-sonnet-20241022", + "claude-3-opus-20240229", + "claude-sonnet-4-20250514", + ], +) +def test_anthropic_model_supports_effort_param_rejects_non_supporting_models(model): + assert AnthropicConfig._model_supports_effort_param(model) is False + + def test_translate_system_message_skips_empty_string_content(): """ Test that translate_system_message skips system messages with empty string content. diff --git a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py index 01dbc81fbb8..9da7a046044 100644 --- a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py +++ b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py @@ -3434,6 +3434,59 @@ def test_transform_request_strips_anthropic_output_config(): assert "output_config" not in additional_fields +def test_converse_drop_params_strips_output_config_for_pre_4_5_anthropic(): + """``drop_params=True`` strips ``output_config`` for pre-4.5 Anthropic + models on Bedrock Converse so a proxy fronting Claude Code at haiku doesn't + force a 400 on every request.""" + config = AmazonConverseConfig() + messages = [{"role": "user", "content": "hi"}] + + original = litellm.drop_params + litellm.drop_params = True + try: + result = config._transform_request( + model="bedrock/converse/anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + optional_params={ + "maxTokens": 256, + "output_config": {"effort": "low"}, + }, + litellm_params={}, + headers={}, + ) + finally: + litellm.drop_params = original + + additional = result.get("additionalModelRequestFields", {}) + assert "output_config" not in additional + + +def test_converse_drop_params_keeps_output_config_for_supporting_anthropic(): + """``drop_params=True`` must not strip on supporting models.""" + config = AmazonConverseConfig() + messages = [{"role": "user", "content": "hi"}] + + original = litellm.drop_params + litellm.drop_params = True + try: + result = config._transform_request( + model="bedrock/converse/us.anthropic.claude-opus-4-7", + messages=messages, + optional_params={ + "maxTokens": 256, + "thinking": {"type": "adaptive"}, + "output_config": {"effort": "high"}, + }, + litellm_params={}, + headers={}, + ) + finally: + litellm.drop_params = original + + additional = result.get("additionalModelRequestFields", {}) + assert additional.get("output_config") == {"effort": "high"} + + def test_transform_response_native_structured_output(): """Test response handling when model returns JSON as text content (native structured output).""" response_json = { diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index 1bc9093b620..644ff81f6f6 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -697,6 +697,70 @@ def test_bedrock_messages_forwards_output_config_for_non_adaptive_model(): assert result.get("max_tokens") == 4096 +def test_bedrock_messages_drop_params_strips_output_config_for_pre_4_5(): + """ + ``drop_params=True`` is the operator opt-in for "silently fix up" + behavior. When a proxy fronts Claude Code at a pre-4.5 Anthropic model + (haiku-3, sonnet-3.5, ...) on the /v1/messages route, the client always + sends ``output_config.effort`` and the model rejects it. Stripping under + ``drop_params`` lets those requests succeed; otherwise we forward and + surface the model's 400 as designed. + """ + import litellm + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "output_config": {"effort": "low"}, + } + + original = litellm.drop_params + litellm.drop_params = True + try: + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + finally: + litellm.drop_params = original + + assert "output_config" not in result + + +def test_bedrock_messages_drop_params_keeps_output_config_for_4_7(): + """``drop_params=True`` must not strip on supporting models — opus-4-7 + accepts effort, so the client's tier knob has to land on the wire.""" + import litellm + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "output_config": {"effort": "high"}, + } + + original = litellm.drop_params + litellm.drop_params = True + try: + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-opus-4-7", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + finally: + litellm.drop_params = original + + assert result.get("output_config") == {"effort": "high"} + + @pytest.mark.parametrize( "reasoning_effort,expected_effort", [ From e780a7c1dc624259a55da019dfb5e6896413e4d8 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sun, 3 May 2026 03:39:36 -0700 Subject: [PATCH 112/160] fix(base_llm): filter all _-prefixed class attrs from get_config The drop_params strip work added `AnthropicConfig._EFFORT_SUPPORTING_MODEL_PATTERNS` as a private class-level lookup tuple. `BaseConfig.get_config()` only filtered the `__`-prefixed names plus `_abc` / `_is_base_class`, so `_EFFORT_SUPPORTING_MODEL_PATTERNS` would have leaked into the request body the same way `REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT` did before the previous commit. Generalize the existing `_abc` / `_is_base_class` carve-outs to skip every `_`-prefixed name. `AmazonConverseConfig.get_config()` overrides the base method, so apply the same change there. Also unblocks future internal helpers from accidentally serialising into the wire body. --- litellm/llms/base_llm/chat/transformation.py | 10 +++++++--- litellm/llms/bedrock/chat/converse_transformation.py | 4 +++- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/litellm/llms/base_llm/chat/transformation.py b/litellm/llms/base_llm/chat/transformation.py index b71ae0fddee..e36ba0c14a1 100644 --- a/litellm/llms/base_llm/chat/transformation.py +++ b/litellm/llms/base_llm/chat/transformation.py @@ -84,12 +84,16 @@ class BaseConfig(ABC): @classmethod def get_config(cls): + # Subclasses lean on this to surface their public default settings + # (e.g. ``max_tokens``) as request params. Anything ``_``-prefixed is + # treated as private (lookup tables, ABC machinery, internal flags) + # and must not leak into the wire body — a tuple/dict/frozenset class + # attribute would otherwise serialise into the request as an extra + # top-level key and the provider would 400 it. return { k: v for k, v in cls.__dict__.items() - if not k.startswith("__") - and not k.startswith("_abc") - and not k.startswith("_is_base_class") + if not k.startswith("_") and not isinstance( v, ( diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 7fd6a87d9d9..f711e88df6e 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -189,10 +189,12 @@ class AmazonConverseConfig(BaseConfig): @classmethod def get_config(cls): + # ``_``-prefixed names are private (lookup tables, ABC machinery, + # internal flags) and must not leak into the wire body. return { k: v for k, v in cls.__dict__.items() - if not k.startswith("__") + if not k.startswith("_") and not isinstance( v, ( From 36f1f13925354d1c9b33d721b2552e404ab58311 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sun, 3 May 2026 11:47:19 +0000 Subject: [PATCH 113/160] fix(anthropic): drive output_config.effort support from model map flags Replace hardcoded _EFFORT_SUPPORTING_MODEL_PATTERNS with a JSON-backed check that uses supports_*_reasoning_effort flags from the model map. Add supports_minimal_reasoning_effort: true to opus-4-5 and mythos-preview entries (which previously only carried supports_reasoning) so the JSON remains the single source of truth for effort capability. --- litellm/llms/anthropic/chat/transformation.py | 43 +++---------------- ...odel_prices_and_context_window_backup.json | 36 ++++++++++++++-- model_prices_and_context_window.json | 22 ++++++++-- .../test_anthropic_chat_transformation.py | 3 +- 4 files changed, 60 insertions(+), 44 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index da435f8816c..21edf01f829 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -4,7 +4,6 @@ import time from typing import ( TYPE_CHECKING, Any, - ClassVar, Dict, List, Optional, @@ -274,47 +273,17 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): pass return False - # Per https://platform.claude.com/docs/en/build-with-claude/effort the - # ``output_config.effort`` parameter is supported on Opus 4.5+, Sonnet 4.6+ - # and Mythos Preview. Older Claude models (haiku-3, sonnet-3.5, opus-3, - # sonnet-4, ...) reject it with a 400. The patterns below let us recognize - # the supporting families regardless of route prefix (``anthropic.``, - # ``us.anthropic.``, ``vertex_ai/``, ``azure_ai/``, ...). - _EFFORT_SUPPORTING_MODEL_PATTERNS: ClassVar[Tuple[str, ...]] = ( - "opus-4-5", - "opus_4_5", - "opus-4.5", - "opus_4.5", - "opus-4-6", - "opus_4_6", - "opus-4.6", - "opus_4.6", - "opus-4-7", - "opus_4_7", - "opus-4.7", - "opus_4.7", - "sonnet-4-6", - "sonnet_4_6", - "sonnet-4.6", - "sonnet_4.6", - "mythos", - ) - @staticmethod def _model_supports_effort_param(model: str) -> bool: """Whether the model accepts ``output_config.effort`` at all. - Used to decide whether to strip ``output_config`` for known-incompatible - models when ``drop_params`` is set. New models that land in - ``model_prices_and_context_window.json`` with a ``supports_*_reasoning_effort`` - flag are auto-recognized; otherwise we fall back to the documented - family patterns above. + Per https://platform.claude.com/docs/en/build-with-claude/effort the + ``output_config.effort`` parameter is supported on Opus 4.5+, Sonnet 4.6+ + and Mythos Preview; older Claude models reject it with a 400. Support is + encoded in ``model_prices_and_context_window.json`` via the + ``supports_*_reasoning_effort`` flags, so adding a new effort-capable + model is a pure model-map change. """ - model_lower = model.lower() - if any( - p in model_lower for p in AnthropicConfig._EFFORT_SUPPORTING_MODEL_PATTERNS - ): - return True for level in ("low", "minimal", "medium", "high", "xhigh", "max"): if AnthropicConfig._supports_effort_level(model, level): return True diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index b49d97dc4e3..392fafcfc2c 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -977,12 +977,28 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 159, "supports_native_structured_output": true }, + "anthropic.claude-mythos-preview": { + "input_cost_per_token": 0, + "output_cost_per_token": 0, + "litellm_provider": "bedrock", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supports_function_calling": true, + "supports_vision": true, + "supports_prompt_caching": false, + "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, + "supports_tool_choice": true + }, "anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -1915,6 +1931,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true @@ -9347,6 +9364,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -9374,6 +9392,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -10790,6 +10809,7 @@ "supports_assistant_prefill": true, "supports_function_calling": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_tool_choice": true }, "databricks/databricks-claude-sonnet-4": { @@ -17150,7 +17170,8 @@ ], "supports_function_calling": true, "supports_parallel_function_calling": true, - "supports_vision": true + "supports_vision": true, + "supports_minimal_reasoning_effort": true }, "github_copilot/claude-opus-4.6-fast": { "litellm_provider": "github_copilot", @@ -17663,7 +17684,8 @@ "mode": "chat", "output_cost_per_token": 2.5e-05, "supports_function_calling": true, - "supports_vision": true + "supports_vision": true, + "supports_minimal_reasoning_effort": true }, "gmi/anthropic/claude-sonnet-4.5": { "input_cost_per_token": 3e-06, @@ -26105,6 +26127,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true, @@ -28026,7 +28049,8 @@ "mode": "responses", "supports_web_search": true, "supports_reasoning": false, - "supports_function_calling": true + "supports_function_calling": true, + "supports_minimal_reasoning_effort": true }, "perplexity/anthropic/claude-sonnet-4-5": { "litellm_provider": "perplexity", @@ -30503,6 +30527,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -30531,6 +30556,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -30558,6 +30584,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -31138,6 +31165,7 @@ "output_cost_per_token": 2.5e-05, "supports_assistant_prefill": true, "supports_computer_use": true, + "supports_minimal_reasoning_effort": true, "supports_function_calling": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -32330,6 +32358,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -32356,6 +32385,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index cc34446be04..03b13d743f6 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -977,6 +977,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -1174,6 +1175,7 @@ "supports_vision": true, "supports_prompt_caching": false, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_tool_choice": true }, "global.anthropic.claude-opus-4-7": { @@ -1929,6 +1931,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true @@ -9361,6 +9364,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -9388,6 +9392,7 @@ "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -10802,6 +10807,7 @@ "supports_assistant_prefill": true, "supports_function_calling": true, "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, "supports_tool_choice": true }, "databricks/databricks-claude-sonnet-4": { @@ -17162,7 +17168,8 @@ ], "supports_function_calling": true, "supports_parallel_function_calling": true, - "supports_vision": true + "supports_vision": true, + "supports_minimal_reasoning_effort": true }, "github_copilot/claude-opus-4.6-fast": { "litellm_provider": "github_copilot", @@ -17675,7 +17682,8 @@ "mode": "chat", "output_cost_per_token": 2.5e-05, "supports_function_calling": true, - "supports_vision": true + "supports_vision": true, + "supports_minimal_reasoning_effort": true }, "gmi/anthropic/claude-sonnet-4.5": { "input_cost_per_token": 3e-06, @@ -26111,6 +26119,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true, @@ -28076,7 +28085,8 @@ "mode": "responses", "supports_web_search": true, "supports_reasoning": false, - "supports_function_calling": true + "supports_function_calling": true, + "supports_minimal_reasoning_effort": true }, "perplexity/anthropic/claude-sonnet-4-5": { "litellm_provider": "perplexity", @@ -30555,6 +30565,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -30583,6 +30594,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -30610,6 +30622,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -31190,6 +31203,7 @@ "output_cost_per_token": 2.5e-05, "supports_assistant_prefill": true, "supports_computer_use": true, + "supports_minimal_reasoning_effort": true, "supports_function_calling": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -32382,6 +32396,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -32408,6 +32423,7 @@ "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, + "supports_minimal_reasoning_effort": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index eb40e76cc12..c496df429e8 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -1826,7 +1826,8 @@ def test_anthropic_drop_params_false_forwards_to_unsupported_model(): "claude-opus-4-6", "claude-opus-4-7", "claude-sonnet-4-6", - "claude-mythos-preview", + "anthropic.claude-mythos-preview", + "bedrock/anthropic.claude-mythos-preview", ], ) def test_anthropic_model_supports_effort_param_recognizes_supporting_models(model): From 108b87fb246ff5da4d216b9fd2b862c3378590f8 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sun, 3 May 2026 10:03:53 -0700 Subject: [PATCH 114/160] fix(anthropic,bedrock,databricks): four reasoning_effort follow-ups - claude-sonnet-4-6 + reasoning_effort=max no longer 400s. Renamed _is_opus_4_6_model to _is_claude_4_6_model at three sites and added supports_max_reasoning_effort: true to 12 model entries in the JSON cost map (10 sonnet 4.6 ids + OpenRouter opus 4.6/4.7). - _map_reasoning_effort now raises BadRequestError(400) directly with llm_provider, instead of letting Databricks (and similar callers) surface its raw ValueError as a 500. - output_config.effort on Opus 4.5 over Bedrock no longer 400s for missing effort-2025-11-24 beta. Flipped JSON to "effort-2025-11-24" for bedrock + bedrock_converse and added an auto-attach branch in _process_tools_and_beta for non-adaptive Anthropic + output_config on Converse. - reasoning_effort=xhigh / =max on legacy budget-mode models (Haiku 4.5, Sonnet 4.5, Opus 4.5) now map to thinking.budget_tokens 8192 / 16384 instead of returning 400. Added two constants in litellm/constants.py. Tests updated for all four flips. Validated end-to-end via 306-cell live proxy matrix (6 model families x 3 routes x 17 effort cases), all pass. --- litellm/anthropic_beta_headers_config.json | 4 +- litellm/constants.py | 17 + litellm/llms/anthropic/chat/transformation.py | 88 ++-- .../messages/transformation.py | 20 +- .../bedrock/chat/converse_transformation.py | 56 ++- .../llms/databricks/chat/transformation.py | 9 +- ...odel_prices_and_context_window_backup.json | 392 +++++++++++++----- model_prices_and_context_window.json | 12 + .../test_anthropic_chat_transformation.py | 90 ++-- .../test_reasoning_effort_translation.py | 30 +- .../chat/test_converse_transformation.py | 45 +- 11 files changed, 559 insertions(+), 204 deletions(-) diff --git a/litellm/anthropic_beta_headers_config.json b/litellm/anthropic_beta_headers_config.json index 662b62cf205..d02afe37569 100644 --- a/litellm/anthropic_beta_headers_config.json +++ b/litellm/anthropic_beta_headers_config.json @@ -72,7 +72,7 @@ "computer-use-2025-11-24": "computer-use-2025-11-24", "context-1m-2025-08-07": "context-1m-2025-08-07", "context-management-2025-06-27": null, - "effort-2025-11-24": null, + "effort-2025-11-24": "effort-2025-11-24", "fast-mode-2026-02-01": null, "files-api-2025-04-14": null, "fine-grained-tool-streaming-2025-05-14": null, @@ -103,7 +103,7 @@ "computer-use-2025-11-24": "computer-use-2025-11-24", "context-1m-2025-08-07": "context-1m-2025-08-07", "context-management-2025-06-27": null, - "effort-2025-11-24": null, + "effort-2025-11-24": "effort-2025-11-24", "fast-mode-2026-02-01": null, "files-api-2025-04-14": null, "fine-grained-tool-streaming-2025-05-14": null, diff --git a/litellm/constants.py b/litellm/constants.py index 7bf94971a39..7708ba8b69a 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -202,6 +202,23 @@ DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET = int( DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET = int( os.getenv("DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET", 4096) ) +# ``xhigh`` / ``max`` budget extrapolation for legacy ``thinking.budget_tokens`` +# models (Claude 4.5 series + haiku). Continues the 2× progression +# 1024 → 2048 → 4096 from the existing low/medium/high tiers. These tiers +# also exist as adaptive ``output_config.effort`` enum values on Claude 4.6+ +# / 4.7; this constant only governs the budget-tokens fallback for models +# that aren't on the adaptive path. Per +# https://platform.claude.com/docs/en/build-with-claude/effort the ``effort`` +# enum is gated by model, but the legacy ``budget_tokens`` knob accepts any +# integer up to the model's max_tokens — adopting #27051's mapping here lets +# ``reasoning_effort=xhigh|max`` Just Work as a unified OpenAI-format knob +# regardless of which Anthropic API surface implements it. +DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET = int( + os.getenv("DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET", 8192) +) +DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET = int( + os.getenv("DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET", 16384) +) MAX_TOKEN_TRIMMING_ATTEMPTS = int( os.getenv("MAX_TOKEN_TRIMMING_ATTEMPTS", 10) ) # Maximum number of attempts to trim the message diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 21edf01f829..9de89d8ad55 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -21,8 +21,10 @@ from litellm.constants import ( DEFAULT_ANTHROPIC_CHAT_MAX_TOKENS, DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET, DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET, + DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET, DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET, DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET, + DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET, RESPONSE_FORMAT_TOOL_NAME, ) from litellm.litellm_core_utils.core_helpers import map_finish_reason @@ -869,7 +871,18 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): def _map_reasoning_effort( reasoning_effort: Optional[Union[REASONING_EFFORT, str]], model: str, + llm_provider: str = "anthropic", ) -> Optional[AnthropicThinkingParam]: + """Map an OpenAI-format ``reasoning_effort`` string to Anthropic's + ``thinking`` payload. + + Raises ``BadRequestError`` (clean 400) instead of ``ValueError`` (500) + on unmapped efforts so every caller — Anthropic native, Bedrock + Invoke/Converse, Databricks, Vertex Anthropic, Azure AI Anthropic, + and the experimental ``/v1/messages`` pass-through — surfaces a + consistent error to the user. Pass ``llm_provider`` so the + ``BadRequestError`` carries the right provider name in logs. + """ if reasoning_effort is None or reasoning_effort == "none": return None if AnthropicConfig._is_claude_4_6_model( @@ -893,6 +906,28 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): type="enabled", budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET, ) + elif reasoning_effort == "xhigh": + # Continues the 2× progression of low/medium/high (1024/2048/4096). + # On adaptive models (Claude 4.6/4.7) the ``xhigh`` tier is + # already routed via ``output_config.effort=xhigh`` above; this + # branch only applies to budget-mode models (Claude 4.5 series + + # haiku) where the OpenAI-format ``reasoning_effort`` knob would + # otherwise 400 with ``Unmapped reasoning effort``. Keeps the + # cross-model UX uniform — ``reasoning_effort=xhigh`` Just Works + # regardless of which Anthropic API surface implements it. + return AnthropicThinkingParam( + type="enabled", + budget_tokens=DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET, + ) + elif reasoning_effort == "max": + # Same rationale as ``xhigh`` above — ``max`` is the adaptive + # enum's top tier on Claude 4.6/4.7, but for budget-mode models + # we extend the 2× progression (8192 → 16384) so the OpenAI- + # format alias is usable on every Claude model. + return AnthropicThinkingParam( + type="enabled", + budget_tokens=DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET, + ) elif reasoning_effort == "minimal": # Anthropic Messages API rejects ``budget_tokens < 1024`` with a # 400. Floor at the provider minimum so ``minimal`` is a usable @@ -906,7 +941,15 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): ), ) else: - raise ValueError(f"Unmapped reasoning effort: {reasoning_effort}") + raise litellm.exceptions.BadRequestError( + message=( + f"Unmapped reasoning effort: {reasoning_effort!r}. " + f"Must be one of: 'minimal', 'low', 'medium', 'high', " + f"'xhigh', 'max', 'none'." + ), + model=model, + llm_provider=llm_provider, + ) def _extract_json_schema_from_response_format( self, value: Optional[dict] @@ -1170,21 +1213,15 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): elif param == "thinking": optional_params["thinking"] = value elif param == "reasoning_effort" and isinstance(value, str): - # Wrap the ``ValueError`` ``_map_reasoning_effort`` raises on - # unmapped efforts (``disabled`` / ``invalid`` / ``""`` / - # ``xhigh``/``max`` on budget-mode Claude 4.5) into a clean - # 400 ``BadRequestError`` instead of letting it surface as - # 500. - try: - mapped_thinking = AnthropicConfig._map_reasoning_effort( - reasoning_effort=value, model=model - ) - except ValueError as e: - raise litellm.exceptions.BadRequestError( - message=str(e), - model=model, - llm_provider=self.custom_llm_provider or "anthropic", - ) + # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) + # directly on unmapped efforts (``disabled`` / ``invalid`` / + # ``""`` / ``xhigh``/``max`` on budget-mode Claude 4.5) so + # we no longer need to wrap a ``ValueError`` here. + mapped_thinking = AnthropicConfig._map_reasoning_effort( + reasoning_effort=value, + model=model, + llm_provider=self.custom_llm_provider or "anthropic", + ) if mapped_thinking is None: optional_params.pop("thinking", None) optional_params.pop("output_config", None) @@ -1673,15 +1710,18 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): model=model, llm_provider=self.custom_llm_provider or "anthropic", ) - # ``max`` is for Opus 4.6+ output effort (not Sonnet 4.6, not Opus 4.5). - # Accept known Opus 4.6/4.7 id patterns and/or ``supports_max_reasoning_effort`` - # in the model map (same pattern as ``xhigh`` below). The hardcoded - # patterns cover OpenRouter/GitHub Copilot/Vercel variants that don't - # carry the model-map flag yet — keep both checks until those provider - # entries are fully populated. + # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7 + # adaptive-thinking models (per + # https://platform.claude.com/docs/en/build-with-claude/effort). + # Prefer the data-driven ``supports_max_reasoning_effort`` flag in + # ``model_prices_and_context_window.json`` so new variants only + # require a model-map update. Family-level ``_is_claude_4_6_model`` + # / ``_is_claude_4_7_model`` checks remain as a fallback for + # OpenRouter/GitHub Copilot/Vercel/Bedrock variants whose entries + # don't yet carry the flag. if effort == "max" and not ( - self._is_opus_4_6_model(model) - or self._is_opus_4_7_model(model) + self._is_claude_4_6_model(model) + or self._is_claude_4_7_model(model) or self._supports_effort_level(model, "max") ): raise litellm.exceptions.BadRequestError( diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py index 98004f647ef..f756279877d 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py @@ -201,12 +201,18 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): if not isinstance(reasoning_effort, str): return + # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) directly + # on unmapped efforts. The /v1/messages pass-through surfaces errors + # as ``AnthropicError``; convert here so callers see a provider-shaped + # 400 rather than the LiteLLM-shaped one. + from litellm.exceptions import BadRequestError as _BadRequestError + try: mapped_thinking = AnthropicConfig._map_reasoning_effort( reasoning_effort=reasoning_effort, model=model ) - except ValueError as e: - raise AnthropicError(message=str(e), status_code=400) + except _BadRequestError as e: + raise AnthropicError(message=str(e.message), status_code=400) if mapped_thinking is None: optional_params.pop("thinking", None) @@ -238,9 +244,15 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): # The chat completion path enforces this via # ``_apply_output_config``; mirror it here so /v1/messages # callers see a clean 400 instead of a provider-side error. + # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude + # 4.7 adaptive-thinking models. Prefer the data-driven + # ``supports_max_reasoning_effort`` flag in + # ``model_prices_and_context_window.json``; family-level checks + # are a fallback for variants whose entries don't yet carry the + # flag. if mapped_effort == "max" and not ( - AnthropicConfig._is_opus_4_6_model(model) - or AnthropicConfig._is_opus_4_7_model(model) + AnthropicConfig._is_claude_4_6_model(model) + or AnthropicConfig._is_claude_4_7_model(model) or AnthropicConfig._supports_effort_level(model, "max") ): raise AnthropicError( diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index f711e88df6e..14c7c3030c4 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -463,20 +463,16 @@ class AmazonConverseConfig(BaseConfig): optional_params.update(reasoning_config) else: # Anthropic and other models: convert to thinking parameter. - # Wrap the ``ValueError`` ``_map_reasoning_effort`` raises on - # unmapped efforts (``disabled`` / ``invalid`` / ``""`` / - # ``xhigh``/``max`` on budget-mode Claude 4.5) into a clean 400 - # ``BadRequestError`` instead of letting it surface as 500. - try: - mapped_thinking = AnthropicConfig._map_reasoning_effort( - reasoning_effort=reasoning_effort, model=model - ) - except ValueError as e: - raise litellm.exceptions.BadRequestError( - message=str(e), - model=model, - llm_provider="bedrock_converse", - ) + # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) + # directly on unmapped efforts (``disabled`` / ``invalid`` / + # ``""`` / ``xhigh``/``max`` on budget-mode Claude 4.5); pass + # ``llm_provider="bedrock_converse"`` so the error carries the + # right provider name. + mapped_thinking = AnthropicConfig._map_reasoning_effort( + reasoning_effort=reasoning_effort, + model=model, + llm_provider="bedrock_converse", + ) if mapped_thinking is None: optional_params.pop("thinking", None) optional_params.pop("output_config", None) @@ -555,9 +551,15 @@ class AmazonConverseConfig(BaseConfig): model=model, llm_provider="bedrock_converse", ) + # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7 + # adaptive-thinking models. Prefer the data-driven + # ``supports_max_reasoning_effort`` flag in + # ``model_prices_and_context_window.json`` so new variants only + # require a model-map update; family-level checks remain a fallback + # for Bedrock model ids whose entries don't yet carry the flag. if effort == "max" and not ( - AnthropicConfig._is_opus_4_6_model(model) - or AnthropicConfig._is_opus_4_7_model(model) + AnthropicConfig._is_claude_4_6_model(model) + or AnthropicConfig._is_claude_4_7_model(model) or AmazonConverseConfig._supports_effort_level_on_bedrock(model, "max") ): raise litellm.exceptions.BadRequestError( @@ -1535,9 +1537,29 @@ class AmazonConverseConfig(BaseConfig): # Append pre-formatted tools (systemTool etc.) after transformation bedrock_tools.extend(pre_formatted_tools) + # Auto-attach the effort beta header for non-adaptive Anthropic + # models on Bedrock Converse (i.e. Opus 4.5). Claude 4.6/4.7 accept + # ``output_config.effort`` as a stable, GA feature with no beta + # header; Opus 4.5 still gates it behind ``effort-2025-11-24``. The + # check mirrors ``AnthropicModelInfo.is_effort_used`` (which returns + # False for adaptive models) so we don't double-flag adaptive routes. + base_model = BedrockModelInfo.get_base_model(model) + if base_model.startswith("anthropic"): + output_config = additional_request_params.get("output_config") + if ( + isinstance(output_config, dict) + and output_config.get("effort") is not None + and not AnthropicConfig._is_adaptive_thinking_model(model) + ): + from litellm.types.llms.anthropic import ( + ANTHROPIC_EFFORT_BETA_HEADER, + ) + + if ANTHROPIC_EFFORT_BETA_HEADER not in anthropic_beta_list: + anthropic_beta_list.append(ANTHROPIC_EFFORT_BETA_HEADER) + # Set anthropic_beta in additional_request_params if we have any beta features # ONLY apply to Anthropic/Claude models - other models (e.g., Qwen, Llama) don't support this field - base_model = BedrockModelInfo.get_base_model(model) if anthropic_beta_list and base_model.startswith("anthropic"): additional_request_params["anthropic_beta"] = anthropic_beta_list diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index c086d4ad755..8ac438bbf01 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -330,8 +330,15 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): ) # unsupported for claude models - if json_schema -> convert to tool call if "reasoning_effort" in non_default_params and "claude" in model: + # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) + # directly on unmapped efforts; pass ``llm_provider="databricks"`` + # so the surfaced error carries the correct provider name (the + # default is ``"anthropic"``, which would mislead users routing + # via Databricks Foundation Model APIs). optional_params["thinking"] = AnthropicConfig._map_reasoning_effort( - reasoning_effort=non_default_params.get("reasoning_effort"), model=model + reasoning_effort=non_default_params.get("reasoning_effort"), + model=model, + llm_provider="databricks", ) optional_params.pop("reasoning_effort", None) ## handle thinking tokens diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 392fafcfc2c..7946e2dceef 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -984,21 +984,6 @@ "tool_use_system_prompt_tokens": 159, "supports_native_structured_output": true }, - "anthropic.claude-mythos-preview": { - "input_cost_per_token": 0, - "output_cost_per_token": 0, - "litellm_provider": "bedrock", - "max_input_tokens": 1000000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "supports_function_calling": true, - "supports_vision": true, - "supports_prompt_caching": false, - "supports_reasoning": true, - "supports_minimal_reasoning_effort": true, - "supports_tool_choice": true - }, "anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -1178,6 +1163,21 @@ "supports_max_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, + "anthropic.claude-mythos-preview": { + "input_cost_per_token": 0, + "output_cost_per_token": 0, + "litellm_provider": "bedrock", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supports_function_calling": true, + "supports_vision": true, + "supports_prompt_caching": false, + "supports_reasoning": true, + "supports_minimal_reasoning_effort": true, + "supports_tool_choice": true + }, "global.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -1323,6 +1323,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1352,6 +1353,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1381,6 +1383,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1409,6 +1412,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1437,6 +1441,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -2055,6 +2060,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -9229,6 +9235,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -9496,7 +9503,6 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, "claude-opus-4-7-20260416": { @@ -9531,7 +9537,6 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, "claude-sonnet-4-20250514": { @@ -15568,7 +15573,7 @@ "mode": "embedding", "output_cost_per_token": 0, "output_vector_size": 3072, - "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", + "source": "https://ai.google.dev/gemini-api/docs/embeddings#multimodal", "supports_multimodal": true, "uses_embed_content": true }, @@ -21164,7 +21169,7 @@ }, "gradient_ai/alibaba-qwen3-32b": { "litellm_provider": "gradient_ai", - "max_tokens": 2048, + "max_tokens": 40960, "mode": "chat", "supported_endpoints": [ "/v1/chat/completions" @@ -21172,7 +21177,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 131072, + "max_output_tokens": 40960 }, "gradient_ai/anthropic-claude-3-opus": { "input_cost_per_token": 1.5e-05, @@ -21186,7 +21193,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 200000, + "max_output_tokens": 1024 }, "gradient_ai/anthropic-claude-3.5-haiku": { "input_cost_per_token": 8e-07, @@ -21200,7 +21209,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 200000, + "max_output_tokens": 1024 }, "gradient_ai/anthropic-claude-3.5-sonnet": { "input_cost_per_token": 3e-06, @@ -21214,7 +21225,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 200000, + "max_output_tokens": 1024 }, "gradient_ai/anthropic-claude-3.7-sonnet": { "input_cost_per_token": 3e-06, @@ -21228,7 +21241,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 200000, + "max_output_tokens": 1024 }, "gradient_ai/deepseek-r1-distill-llama-70b": { "input_cost_per_token": 9.9e-07, @@ -21242,7 +21257,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 32768, + "max_output_tokens": 8000 }, "gradient_ai/llama3-8b-instruct": { "input_cost_per_token": 2e-07, @@ -21256,7 +21273,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 8192, + "max_output_tokens": 512 }, "gradient_ai/llama3.3-70b-instruct": { "input_cost_per_token": 6.5e-07, @@ -21270,7 +21289,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 128000, + "max_output_tokens": 2048 }, "gradient_ai/mistral-nemo-instruct-2407": { "input_cost_per_token": 3e-07, @@ -21284,7 +21305,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 128000, + "max_output_tokens": 512 }, "gradient_ai/openai-gpt-4o": { "litellm_provider": "gradient_ai", @@ -21296,7 +21319,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 128000, + "max_output_tokens": 16384 }, "gradient_ai/openai-gpt-4o-mini": { "litellm_provider": "gradient_ai", @@ -21308,7 +21333,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 128000, + "max_output_tokens": 16384 }, "gradient_ai/openai-o3": { "input_cost_per_token": 2e-06, @@ -21322,7 +21349,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 200000, + "max_output_tokens": 100000 }, "gradient_ai/openai-o3-mini": { "input_cost_per_token": 1.1e-06, @@ -21336,7 +21365,9 @@ "supported_modalities": [ "text" ], - "supports_tool_choice": false + "supports_tool_choice": false, + "max_input_tokens": 200000, + "max_output_tokens": 100000 }, "lemonade/Qwen3-Coder-30B-A3B-Instruct-GGUF": { "input_cost_per_token": 0, @@ -21636,11 +21667,13 @@ }, "heroku/claude-3-5-haiku": { "litellm_provider": "heroku", - "max_tokens": 4096, + "max_tokens": 8192, "mode": "chat", "supports_function_calling": true, "supports_system_messages": true, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 200000, + "max_output_tokens": 8192 }, "heroku/claude-3-5-sonnet-latest": { "litellm_provider": "heroku", @@ -21648,7 +21681,9 @@ "mode": "chat", "supports_function_calling": true, "supports_system_messages": true, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 200000, + "max_output_tokens": 8192 }, "heroku/claude-3-7-sonnet": { "litellm_provider": "heroku", @@ -21656,7 +21691,9 @@ "mode": "chat", "supports_function_calling": true, "supports_system_messages": true, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 200000, + "max_output_tokens": 8192 }, "heroku/claude-4-sonnet": { "litellm_provider": "heroku", @@ -21664,7 +21701,9 @@ "mode": "chat", "supports_function_calling": true, "supports_system_messages": true, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 200000, + "max_output_tokens": 8192 }, "high/1024-x-1024/gpt-image-1": { "input_cost_per_image": 0.167, @@ -22472,48 +22511,6 @@ "/v1/images/generations" ] }, - "luminous-base": { - "input_cost_per_token": 3e-05, - "litellm_provider": "aleph_alpha", - "max_tokens": 2048, - "mode": "completion", - "output_cost_per_token": 3.3e-05 - }, - "luminous-base-control": { - "input_cost_per_token": 3.75e-05, - "litellm_provider": "aleph_alpha", - "max_tokens": 2048, - "mode": "chat", - "output_cost_per_token": 4.125e-05 - }, - "luminous-extended": { - "input_cost_per_token": 4.5e-05, - "litellm_provider": "aleph_alpha", - "max_tokens": 2048, - "mode": "completion", - "output_cost_per_token": 4.95e-05 - }, - "luminous-extended-control": { - "input_cost_per_token": 5.625e-05, - "litellm_provider": "aleph_alpha", - "max_tokens": 2048, - "mode": "chat", - "output_cost_per_token": 6.1875e-05 - }, - "luminous-supreme": { - "input_cost_per_token": 0.000175, - "litellm_provider": "aleph_alpha", - "max_tokens": 2048, - "mode": "completion", - "output_cost_per_token": 0.0001925 - }, - "luminous-supreme-control": { - "input_cost_per_token": 0.00021875, - "litellm_provider": "aleph_alpha", - "max_tokens": 2048, - "mode": "chat", - "output_cost_per_token": 0.000240625 - }, "max-x-max/50-steps/stability.stable-diffusion-xl-v0": { "litellm_provider": "bedrock", "max_input_tokens": 77, @@ -25985,12 +25982,14 @@ "input_cost_per_image": 0.0004, "input_cost_per_token": 2.5e-07, "litellm_provider": "openrouter", - "max_tokens": 200000, + "max_tokens": 4096, "mode": "chat", "output_cost_per_token": 1.25e-06, "supports_function_calling": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "max_input_tokens": 200000, + "max_output_tokens": 4096 }, "openrouter/anthropic/claude-3.5-sonnet": { "input_cost_per_token": 3e-06, @@ -26109,6 +26108,7 @@ "supports_function_calling": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 159, @@ -26149,6 +26149,7 @@ "supports_function_calling": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -26197,6 +26198,29 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346 }, + "openrouter/anthropic/claude-opus-4.7": { + "cache_creation_input_token_cost": 6.25e-06, + "cache_read_input_token_cost": 5e-07, + "input_cost_per_token": 5e-06, + "litellm_provider": "openrouter", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 2.5e-05, + "supports_assistant_prefill": false, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_max_reasoning_effort": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_xhigh_reasoning_effort": true, + "tool_use_system_prompt_tokens": 346 + }, "openrouter/bytedance/ui-tars-1.5-7b": { "input_cost_per_token": 1e-07, "litellm_provider": "openrouter", @@ -26562,18 +26586,22 @@ "openrouter/mancer/weaver": { "input_cost_per_token": 5.625e-06, "litellm_provider": "openrouter", - "max_tokens": 8000, + "max_tokens": 2000, "mode": "chat", "output_cost_per_token": 5.625e-06, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 8000, + "max_output_tokens": 2000 }, "openrouter/meta-llama/llama-3-70b-instruct": { "input_cost_per_token": 5.9e-07, "litellm_provider": "openrouter", - "max_tokens": 8192, + "max_tokens": 8000, "mode": "chat", "output_cost_per_token": 7.9e-07, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 8192, + "max_output_tokens": 8000 }, "openrouter/minimax/minimax-m2": { "input_cost_per_token": 2.55e-07, @@ -26661,34 +26689,42 @@ "openrouter/mistralai/mistral-7b-instruct": { "input_cost_per_token": 1.3e-07, "litellm_provider": "openrouter", - "max_tokens": 8192, + "max_tokens": 8191, "mode": "chat", "output_cost_per_token": 1.3e-07, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 32768, + "max_output_tokens": 8191 }, "openrouter/mistralai/mistral-large": { "input_cost_per_token": 8e-06, "litellm_provider": "openrouter", - "max_tokens": 32000, + "max_tokens": 8191, "mode": "chat", "output_cost_per_token": 2.4e-05, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 128000, + "max_output_tokens": 8191 }, "openrouter/mistralai/mistral-small-3.1-24b-instruct": { "input_cost_per_token": 1e-07, "litellm_provider": "openrouter", - "max_tokens": 32000, + "max_tokens": 131072, "mode": "chat", "output_cost_per_token": 3e-07, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 131072, + "max_output_tokens": 131072 }, "openrouter/mistralai/mistral-small-3.2-24b-instruct": { "input_cost_per_token": 1e-07, "litellm_provider": "openrouter", - "max_tokens": 32000, + "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 3e-07, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 128000, + "max_output_tokens": 128000 }, "openrouter/mistralai/mixtral-8x22b-instruct": { "input_cost_per_token": 6.5e-07, @@ -26696,7 +26732,9 @@ "max_tokens": 65536, "mode": "chat", "output_cost_per_token": 6.5e-07, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 65536, + "max_output_tokens": 65536 }, "openrouter/moonshotai/kimi-k2.5": { "cache_read_input_token_cost": 1e-07, @@ -26716,26 +26754,32 @@ "openrouter/openai/gpt-3.5-turbo": { "input_cost_per_token": 1.5e-06, "litellm_provider": "openrouter", - "max_tokens": 4095, + "max_tokens": 4096, "mode": "chat", "output_cost_per_token": 2e-06, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 16385, + "max_output_tokens": 4096 }, "openrouter/openai/gpt-3.5-turbo-16k": { "input_cost_per_token": 3e-06, "litellm_provider": "openrouter", - "max_tokens": 16383, + "max_tokens": 4096, "mode": "chat", "output_cost_per_token": 4e-06, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 16385, + "max_output_tokens": 4096 }, "openrouter/openai/gpt-4": { "input_cost_per_token": 3e-05, "litellm_provider": "openrouter", - "max_tokens": 8192, + "max_tokens": 4096, "mode": "chat", "output_cost_per_token": 6e-05, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 8191, + "max_output_tokens": 4096 }, "openrouter/openai/gpt-4.1": { "cache_read_input_token_cost": 5e-07, @@ -27243,10 +27287,12 @@ "openrouter/undi95/remm-slerp-l2-13b": { "input_cost_per_token": 1.875e-06, "litellm_provider": "openrouter", - "max_tokens": 6144, + "max_tokens": 4096, "mode": "chat", "output_cost_per_token": 1.875e-06, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 6144, + "max_output_tokens": 4096 }, "openrouter/x-ai/grok-4": { "input_cost_per_token": 3e-06, @@ -29868,14 +29914,16 @@ "together_ai/deepseek-ai/DeepSeek-V3.1": { "input_cost_per_token": 6e-07, "litellm_provider": "together_ai", - "max_tokens": 128000, + "max_tokens": 16384, "mode": "chat", "output_cost_per_token": 1.7e-06, "source": "https://www.together.ai/models/deepseek-v3-1", "supports_function_calling": true, "supports_parallel_function_calling": true, "supports_reasoning": true, - "supports_tool_choice": true + "supports_tool_choice": true, + "max_input_tokens": 128000, + "max_output_tokens": 16384 }, "together_ai/meta-llama/Llama-3.2-3B-Instruct-Turbo": { "litellm_provider": "together_ai", @@ -32552,6 +32600,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -34456,6 +34505,7 @@ "output_cost_per_token": 1.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -34471,6 +34521,7 @@ "output_cost_per_token": 1.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -34486,6 +34537,7 @@ "output_cost_per_token": 2.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -34501,6 +34553,7 @@ "output_cost_per_token": 2.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -34516,6 +34569,7 @@ "output_cost_per_token": 1.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -34532,6 +34586,7 @@ "output_cost_per_token": 5e-07, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -34549,6 +34604,7 @@ "output_cost_per_token": 5e-07, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -34565,6 +34621,7 @@ "output_cost_per_token": 4e-06, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -34581,6 +34638,7 @@ "output_cost_per_token": 4e-06, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -34597,6 +34655,7 @@ "output_cost_per_token": 4e-06, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -34613,6 +34672,7 @@ "output_cost_per_token": 5e-07, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -34628,38 +34688,41 @@ "output_cost_per_token": 1.5e-05, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, "xai/grok-4-fast-reasoning": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 2e-07, + "input_cost_per_token_above_128k_tokens": 4e-07, "litellm_provider": "xai", "max_input_tokens": 2000000.0, "max_output_tokens": 2000000.0, "max_tokens": 2000000.0, "mode": "chat", - "input_cost_per_token": 2e-07, - "input_cost_per_token_above_128k_tokens": 4e-07, "output_cost_per_token": 5e-07, "output_cost_per_token_above_128k_tokens": 1e-06, - "cache_read_input_token_cost": 5e-08, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, "xai/grok-4-fast-non-reasoning": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 2e-07, + "input_cost_per_token_above_128k_tokens": 4e-07, "litellm_provider": "xai", "max_input_tokens": 2000000.0, "max_output_tokens": 2000000.0, - "cache_read_input_token_cost": 5e-08, "max_tokens": 2000000.0, "mode": "chat", - "input_cost_per_token": 2e-07, - "input_cost_per_token_above_128k_tokens": 4e-07, "output_cost_per_token": 5e-07, "output_cost_per_token_above_128k_tokens": 1e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, @@ -34675,6 +34738,7 @@ "output_cost_per_token_above_128k_tokens": 3e-05, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, @@ -34690,6 +34754,7 @@ "output_cost_per_token_above_128k_tokens": 3e-05, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, @@ -34707,6 +34772,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -34727,6 +34793,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -34747,6 +34814,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -34767,6 +34835,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-non-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -34786,6 +34855,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-non-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -34802,6 +34872,7 @@ "output_cost_per_token": 6e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, @@ -34818,6 +34889,7 @@ "output_cost_per_token": 6e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, @@ -34850,6 +34922,7 @@ "output_cost_per_token": 6e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_vision": true, "supports_web_search": true @@ -34878,6 +34951,7 @@ "output_cost_per_token": 1.5e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true }, @@ -34892,6 +34966,7 @@ "output_cost_per_token": 1.5e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true }, @@ -34906,6 +34981,7 @@ "output_cost_per_token": 1.5e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true }, @@ -34937,6 +35013,20 @@ "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, + "zai.glm-5": { + "input_cost_per_token": 1e-06, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, "zai.glm-4.7-flash": { "input_cost_per_token": 7e-08, "litellm_provider": "bedrock_converse", @@ -39522,6 +39612,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -39746,6 +39837,87 @@ } ] }, + "zai.glm-5": { + "input_cost_per_token": 1e-06, + "output_cost_per_token": 3.2e-06, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, + "bedrock/us-east-1/zai.glm-5": { + "input_cost_per_token": 1e-06, + "output_cost_per_token": 3.2e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, + "bedrock/us-west-2/zai.glm-5": { + "input_cost_per_token": 1e-06, + "output_cost_per_token": 3.2e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, + "minimax.minimax-m2.5": { + "input_cost_per_token": 3e-07, + "output_cost_per_token": 1.2e-06, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "supports_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, + "bedrock/us-east-1/minimax.minimax-m2.5": { + "input_cost_per_token": 3e-07, + "output_cost_per_token": 1.2e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "supports_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, + "bedrock/us-west-2/minimax.minimax-m2.5": { + "input_cost_per_token": 3e-07, + "output_cost_per_token": 1.2e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "supports_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "source": "https://aws.amazon.com/bedrock/pricing/" + }, "bedrock/us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0": { "cache_creation_input_token_cost": 1.5e-06, "cache_read_input_token_cost": 1.2e-07, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 03b13d743f6..7946e2dceef 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1323,6 +1323,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1352,6 +1353,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1381,6 +1383,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1409,6 +1412,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -1437,6 +1441,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -2055,6 +2060,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -9229,6 +9235,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -26101,6 +26108,7 @@ "supports_function_calling": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 159, @@ -26141,6 +26149,7 @@ "supports_function_calling": true, "supports_prompt_caching": true, "supports_reasoning": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -26206,6 +26215,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, @@ -32590,6 +32600,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, @@ -39601,6 +39612,7 @@ "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, + "supports_max_reasoning_effort": true, "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index c496df429e8..1aa664f6574 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -2078,13 +2078,17 @@ def test_get_config_does_not_leak_module_constants(): ("claude-opus-4-7", "xhigh", True), ("claude-opus-4-6", "max", True), ("claude-opus-4-6", "xhigh", False), - ("claude-sonnet-4-6", "max", False), + # ``max`` is documented as supported on Sonnet 4.6 (Claude 4.6 family). + # The model-map JSON now carries ``supports_max_reasoning_effort: true`` + # for every Sonnet 4.6 entry; ``_supports_effort_level`` should report + # ``True`` on every route prefix (anthropic, bedrock, vertex, azure). + ("claude-sonnet-4-6", "max", True), ("claude-sonnet-4-6", "xhigh", False), ("bedrock/invoke/us.anthropic.claude-opus-4-7", "max", True), ("bedrock/invoke/us.anthropic.claude-opus-4-7", "xhigh", True), ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "max", True), ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh", False), - ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max", False), + ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max", True), ("vertex_ai/claude-opus-4-7", "xhigh", True), ("azure_ai/claude-opus-4-7", "xhigh", True), ], @@ -2393,25 +2397,40 @@ def test_reasoning_effort_does_not_set_output_config_for_older_models(): ), f"output_config should not be set for {model}" -def test_max_effort_rejected_for_sonnet_46(): - """Test that effort='max' is rejected for Sonnet 4.6 (Opus-only effort level). +@pytest.mark.parametrize( + "model", + [ + "claude-sonnet-4-6", + "claude-sonnet-4-6-20260219", + "us.anthropic.claude-sonnet-4-6", + "bedrock/converse/us.anthropic.claude-sonnet-4-6", + "vertex_ai/claude-sonnet-4-6", + "openrouter/anthropic/claude-sonnet-4.6", + ], +) +def test_max_effort_accepted_for_sonnet_46_variants(model): + """``effort='max'`` is documented as supported on Claude 4.6 (Opus + Sonnet) + and Claude 4.7 (https://platform.claude.com/docs/en/build-with-claude/effort). - Surfaces as a clean 400 BadRequestError, not a 500 ValueError. + Earlier versions of this test asserted a 400 for Sonnet 4.6, mirroring an + Opus-only allow-list in ``_apply_output_config``. That gate has since been + widened to ``_is_claude_4_6_model`` (Opus + Sonnet) and the + ``supports_max_reasoning_effort`` JSON flag, matching Anthropic's published + matrix. Verify the param actually flows through every Sonnet 4.6 id + variant our routing layer might see. """ config = AnthropicConfig() messages = [{"role": "user", "content": "Test"}] - with pytest.raises( - litellm.exceptions.BadRequestError, - match="effort='max' is not supported by this model", - ): - config.transform_request( - model="claude-sonnet-4-6-20260219", - messages=messages, - optional_params={"output_config": {"effort": "max"}}, - litellm_params={}, - headers={}, - ) + result = config.transform_request( + model=model, + messages=messages, + optional_params={"output_config": {"effort": "max"}}, + litellm_params={}, + headers={}, + ) + + assert result["output_config"]["effort"] == "max" def test_max_effort_accepted_for_opus_46(): @@ -2510,24 +2529,37 @@ def test_reasoning_effort_garbage_raises_bad_request(effort): @pytest.mark.parametrize( - "effort", - ["xhigh", "max"], + "effort,expected_budget", + [("xhigh", 8192), ("max", 16384)], ) -def test_reasoning_effort_unsupported_tier_on_budget_model_raises_bad_request( - effort, +def test_reasoning_effort_xhigh_max_maps_to_budget_on_budget_model( + effort, expected_budget ): - """``xhigh`` / ``max`` aren't defined for budget-mode (4.5) Claude models; - surface as a clean 400 instead of 500. + """``xhigh`` / ``max`` extend the legacy ``thinking.budget_tokens`` + progression (low=1024 / medium=2048 / high=4096 → xhigh=8192 / max=16384) + on budget-mode Claude models (haiku / 4.5 series). + + Adopted from #27051. Keeps the OpenAI-format ``reasoning_effort`` knob + usable across the full Claude lineup — adaptive models (4.6/4.7) route + these tiers via ``output_config.effort``; budget-mode models use the + extended budget. Anthropic's "max only on Mythos / Opus 4.7 / Opus 4.6 / + Sonnet 4.6" gating applies to the *adaptive enum*, not to the legacy + ``budget_tokens`` knob, which accepts any integer up to ``max_tokens``. """ config = AnthropicConfig() - with pytest.raises(litellm.exceptions.BadRequestError): - config.map_openai_params( - non_default_params={"reasoning_effort": effort}, - optional_params={}, - model="claude-sonnet-4-5-20250929", - drop_params=False, - ) + result = config.map_openai_params( + non_default_params={"reasoning_effort": effort}, + optional_params={}, + model="claude-sonnet-4-5-20250929", + drop_params=False, + ) + + assert result["thinking"]["type"] == "enabled" + assert result["thinking"]["budget_tokens"] == expected_budget + # Budget-mode models must NOT carry an ``output_config`` payload — that + # path is exclusively for adaptive (4.6+) models. + assert "output_config" not in result def test_output_config_effort_empty_string_raises_bad_request(): diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py index 900bb15545a..20b5f958396 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py @@ -132,11 +132,11 @@ def test_invalid_reasoning_effort_raises_400(bad_effort): @pytest.mark.parametrize( "model,bad_effort", [ + # ``xhigh`` is Opus-4.7-only on the public Anthropic effort matrix, + # so Opus 4.6 / Sonnet 4.6 must still 400 on it. ("claude-opus-4-6", "xhigh"), ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh"), ("claude-sonnet-4-6", "xhigh"), - ("claude-sonnet-4-6", "max"), - ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max"), ], ) def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort): @@ -160,6 +160,32 @@ def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort assert "not supported by this model" in str(exc_info.value) +@pytest.mark.parametrize( + "model", + [ + # ``max`` is documented as supported on Claude 4.6 (Opus + Sonnet) + # and Claude 4.7. Verify the /v1/messages route accepts it for + # Sonnet 4.6 variants instead of 400-ing client-side. + "claude-sonnet-4-6", + "bedrock/invoke/us.anthropic.claude-sonnet-4-6", + ], +) +def test_reasoning_effort_max_accepted_on_sonnet_46_messages(model): + config = AnthropicMessagesConfig() + optional_params = {"max_tokens": 1024, "reasoning_effort": "max"} + + result = config.transform_anthropic_messages_request( + model=model, + messages=[{"role": "user", "content": "Hello"}], + anthropic_messages_optional_request_params=optional_params, + litellm_params={}, + headers={}, + ) + + output_config = result.get("output_config") + assert isinstance(output_config, dict) and output_config.get("effort") == "max" + + def test_explicit_output_config_wins_over_reasoning_effort(): """ Explicit native ``output_config.effort`` is never overridden by the diff --git a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py index 9da7a046044..271498887f4 100644 --- a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py +++ b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py @@ -395,24 +395,39 @@ def test_reasoning_effort_garbage_raises_bad_request_converse(effort): ) -def test_output_config_effort_unsupported_max_on_sonnet_46_raises_bad_request(): - """``effort='max'`` is Opus-only. On Sonnet 4.6 the explicit-output_config - path must surface a 400 (matching the chat-completion validation), not - silently forward an unsupported tier to Bedrock.""" +@pytest.mark.parametrize( + "model", + [ + "bedrock/converse/us.anthropic.claude-sonnet-4-6", + "bedrock/converse/global.anthropic.claude-sonnet-4-6", + "bedrock/converse/eu.anthropic.claude-sonnet-4-6", + "bedrock/converse/au.anthropic.claude-sonnet-4-6", + ], +) +def test_output_config_effort_max_passes_through_on_sonnet_46_variants(model): + """``effort='max'`` is supported on Claude 4.6 (Opus + Sonnet) per + https://platform.claude.com/docs/en/build-with-claude/effort. The earlier + Opus-only allow-list in ``_validate_anthropic_adaptive_effort`` has been + widened to ``_is_claude_4_6_model`` (Opus + Sonnet) plus the + ``supports_max_reasoning_effort`` JSON flag. Verify the param actually + flows through to ``additionalModelRequestFields.output_config.effort`` + for every Bedrock Converse Sonnet 4.6 id variant.""" config = AmazonConverseConfig() messages = [{"role": "user", "content": "hi"}] - with pytest.raises(litellm.exceptions.BadRequestError): - config._transform_request( - model="bedrock/converse/us.anthropic.claude-sonnet-4-6", - messages=messages, - optional_params={ - "maxTokens": 256, - "output_config": {"effort": "max"}, - }, - litellm_params={}, - headers={}, - ) + result = config._transform_request( + model=model, + messages=messages, + optional_params={ + "maxTokens": 256, + "output_config": {"effort": "max"}, + }, + litellm_params={}, + headers={}, + ) + + additional = result.get("additionalModelRequestFields", {}) + assert additional.get("output_config") == {"effort": "max"} def test_get_supported_openai_params(): From 1a10746e95ed021f3657b47207094f7660410516 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 3 May 2026 17:30:26 +0000 Subject: [PATCH 115/160] fix(databricks): validate reasoning_effort and set output_config on adaptive Claude The Databricks path called `AnthropicConfig._map_reasoning_effort` for Claude models but never validated the effort string nor set `output_config.effort` for adaptive models (Claude 4.6/4.7). Since `_map_reasoning_effort` returns `type=adaptive` for ANY non-None / non-"none" string on adaptive models (including "disabled", "invalid", ""), Databricks silently accepted garbage and emitted a request without an `output_config.effort`, collapsing every adaptive tier to identical behavior. Match the Anthropic native, Bedrock Converse, Bedrock Invoke, and /v1/messages paths: when the resolved `thinking` is non-None on a 4.6/4.7 model, look up the value in `REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT` and either raise a clean `BadRequestError` or set `optional_params["output_config"]`. --- .../llms/databricks/chat/transformation.py | 39 +++++++++++++++++-- 1 file changed, 36 insertions(+), 3 deletions(-) diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index 8ac438bbf01..a0b1ec3d692 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -21,6 +21,7 @@ from typing import ( import httpx from pydantic import BaseModel +import litellm from litellm.constants import RESPONSE_FORMAT_TOOL_NAME from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response import ( _handle_invalid_parallel_tool_calls, @@ -56,7 +57,10 @@ from litellm.types.utils import ( Usage, ) -from ...anthropic.chat.transformation import AnthropicConfig +from ...anthropic.chat.transformation import ( + REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT, + AnthropicConfig, +) from ...openai_like.chat.transformation import OpenAILikeChatConfig from ..common_utils import DatabricksBase, DatabricksException @@ -335,11 +339,40 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): # so the surfaced error carries the correct provider name (the # default is ``"anthropic"``, which would mislead users routing # via Databricks Foundation Model APIs). - optional_params["thinking"] = AnthropicConfig._map_reasoning_effort( - reasoning_effort=non_default_params.get("reasoning_effort"), + reasoning_effort_value = non_default_params.get("reasoning_effort") + mapped_thinking = AnthropicConfig._map_reasoning_effort( + reasoning_effort=reasoning_effort_value, model=model, llm_provider="databricks", ) + if mapped_thinking is None: + optional_params.pop("thinking", None) + optional_params.pop("output_config", None) + else: + optional_params["thinking"] = mapped_thinking + # For Claude 4.6/4.7 adaptive models, ``_map_reasoning_effort`` + # returns ``type=adaptive`` for ANY non-None / non-"none" + # string without validating the value, so reject unmapped + # efforts here and set ``output_config.effort`` (matching the + # Anthropic native / Bedrock Converse / Bedrock Invoke / + # /v1/messages paths). + if AnthropicConfig._is_claude_4_6_model( + model + ) or AnthropicConfig._is_claude_4_7_model(model): + mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + reasoning_effort_value + ) + if mapped_effort is None: + raise litellm.exceptions.BadRequestError( + message=( + f"Invalid reasoning_effort: {reasoning_effort_value!r}. " + f"Must be one of: 'minimal', 'low', " + f"'medium', 'high', 'xhigh', 'max', 'none'" + ), + model=model, + llm_provider="databricks", + ) + optional_params["output_config"] = {"effort": mapped_effort} optional_params.pop("reasoning_effort", None) ## handle thinking tokens self.update_optional_params_with_thinking_tokens( From 4f9a3a5c9f9052e0ddd11866bf2ca94858931273 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sun, 3 May 2026 23:48:38 -0700 Subject: [PATCH 116/160] fix(azure_ai/anthropic): promote output_config out of extra_body so validation runs MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit `azure_ai` is registered in `litellm.openai_compatible_providers`, so `add_provider_specific_params_to_optional_params` (litellm/utils.py) auto-stuffs any non-OpenAI kwarg (e.g. `output_config={"effort": "..."}`) into `optional_params["extra_body"]`. `AzureAnthropicConfig.transform_request` then strips `extra_body` entirely on the way out, silently dropping the param — and `AnthropicConfig._apply_output_config` never sees it, so `effort="invalid"` / `effort="xhigh"` on a non-supporting model quietly reaches the model with default behavior instead of returning a clean 400 (as the native `anthropic` provider does). Promote the keys back to top-level `optional_params` (using `setdefault` so explicit top-level values win) before delegating to the parent `AnthropicConfig`. Apply in both `validate_environment` and `transform_request` so flag detection (`is_mcp_server_used`, etc.) and output-config validation both run. Surfaced by the QA matrix expansion on PR #27074: 20 cells where Azure returned 200 while `anthropic` returned 400 — all `output_config` mode across haiku_4_5, sonnet_4_5, opus_4_5, sonnet_4_6, opus_4_6, opus_4_7 families with `effort` in {invalid, xhigh, max, low, medium, high}. Tests: * `test_output_config_promoted_from_extra_body`: valid effort reaches data * `test_invalid_output_config_effort_raises_via_extra_body`: 400 on bad effort * `test_unsupported_effort_xhigh_raises_via_extra_body`: 400 on xhigh-on-Sonnet-4.6 * `test_extra_body_promotion_does_not_clobber_top_level`: setdefault semantics --- .../llms/azure_ai/anthropic/transformation.py | 43 +++++++ .../test_azure_anthropic_transformation.py | 116 ++++++++++++++++++ 2 files changed, 159 insertions(+) diff --git a/litellm/llms/azure_ai/anthropic/transformation.py b/litellm/llms/azure_ai/anthropic/transformation.py index e935aa1c057..f3bd6012ec5 100644 --- a/litellm/llms/azure_ai/anthropic/transformation.py +++ b/litellm/llms/azure_ai/anthropic/transformation.py @@ -12,6 +12,33 @@ if TYPE_CHECKING: pass +def _promote_extra_body_to_optional_params(optional_params: dict) -> None: + """Promote anthropic-native passthrough keys out of ``extra_body``. + + ``azure_ai`` is registered in ``litellm.openai_compatible_providers``, so + ``add_provider_specific_params_to_optional_params`` (litellm/utils.py) + auto-stuffs any non-OpenAI kwarg (e.g. ``output_config={"effort": "..."}``) + into ``optional_params["extra_body"]``. For the Azure→Anthropic route the + user's intent is to forward those params to Anthropic, so promote them to + the top level of ``optional_params`` so: + + * ``AnthropicConfig._apply_output_config`` validates ``effort`` values + (matching the native ``anthropic`` provider's 400 on bad efforts). + * Valid passthroughs (e.g. ``output_config``, ``thinking``) actually + reach the request body instead of being silently dropped by the + ``data.pop("extra_body", None)`` strip below. + + ``setdefault`` is used so an explicit top-level value is never clobbered + by a duplicate inside ``extra_body``. + """ + extra_body = optional_params.get("extra_body") + if not isinstance(extra_body, dict) or not extra_body: + return + for k, v in extra_body.items(): + optional_params.setdefault(k, v) + optional_params.pop("extra_body", None) + + class AzureAnthropicConfig(AnthropicConfig): """ Azure Anthropic configuration that extends AnthropicConfig. @@ -39,6 +66,11 @@ class AzureAnthropicConfig(AnthropicConfig): 1. API key via 'api-key' header 2. Azure AD token via 'Authorization: Bearer ' header """ + # Promote anthropic-native passthrough keys (``output_config``, + # ``thinking``, ``mcp_servers``, ...) out of ``extra_body`` so the + # flag detection below (``is_mcp_server_used``, etc.) sees them. + _promote_extra_body_to_optional_params(optional_params) + # Convert dict to GenericLiteLLMParams if needed if isinstance(litellm_params, dict): # Ensure api_key is included if provided @@ -101,6 +133,17 @@ class AzureAnthropicConfig(AnthropicConfig): Transform request using parent AnthropicConfig, then remove unsupported params. Azure Anthropic doesn't support extra_body, max_retries, or stream_options parameters. """ + # Promote anthropic-native passthrough keys (``output_config``, + # ``thinking``, ...) out of ``extra_body`` BEFORE delegating to + # ``AnthropicConfig.transform_request``. Without this: + # * ``output_config`` is silently dropped by the ``extra_body`` pop + # below, and + # * ``_apply_output_config`` never validates ``effort`` values, so + # ``effort="invalid"`` quietly reaches the model with default + # behavior instead of returning a clean 400 (as the native + # ``anthropic`` provider does). + _promote_extra_body_to_optional_params(optional_params) + # Call parent transform_request data = super().transform_request( model=model, diff --git a/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py b/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py index 06ef04ca2ce..2504e9d5b89 100644 --- a/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py +++ b/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py @@ -291,6 +291,122 @@ class TestAzureAnthropicConfig: assert "anthropic-beta" in headers assert "compact-2026-01-12" in headers["anthropic-beta"] + def test_output_config_promoted_from_extra_body(self): + """Anthropic-native ``output_config`` routed via ``extra_body`` (by the + openai-compatible kwarg stuffer in ``litellm/utils.py``) must be + promoted to top-level ``optional_params`` before delegating to + ``AnthropicConfig.transform_request``. Otherwise the value is + silently dropped by the ``extra_body`` pop and validation never + runs. + """ + config = AzureAnthropicConfig() + + messages = [{"role": "user", "content": "Hello"}] + # Simulate what ``add_provider_specific_params_to_optional_params`` + # produces for ``litellm.completion(model="azure_ai/claude-...", + # output_config={"effort": "low"})``. + optional_params = { + "max_tokens": 100, + "extra_body": {"output_config": {"effort": "low"}}, + } + litellm_params = {"api_key": "test-key"} + headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"} + + result = config.transform_request( + model="claude-opus-4-6", # supports output_config.effort + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + + # output_config must reach the request body (not be silently dropped) + assert "output_config" in result + assert result["output_config"] == {"effort": "low"} + # extra_body should be stripped on the way out + assert "extra_body" not in result + + def test_invalid_output_config_effort_raises_via_extra_body(self): + """``effort="invalid"`` arriving via ``extra_body`` must still raise + ``BadRequestError`` (matching the native ``anthropic`` provider). + Previously this was silently dropped on Azure, so unsupported + efforts reached the model with default behavior instead of + returning a clean 400. + """ + import litellm + + config = AzureAnthropicConfig() + + messages = [{"role": "user", "content": "Hello"}] + optional_params = { + "max_tokens": 100, + "extra_body": {"output_config": {"effort": "invalid"}}, + } + litellm_params = {"api_key": "test-key"} + headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"} + + with pytest.raises(litellm.exceptions.BadRequestError) as exc_info: + config.transform_request( + model="claude-opus-4-6", + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + assert "Invalid effort value" in str(exc_info.value) + + def test_unsupported_effort_xhigh_raises_via_extra_body(self): + """``effort="xhigh"`` on a model that does not support it (e.g. + Sonnet 4.6) must raise ``BadRequestError`` even when arriving via + ``extra_body`` on Azure.""" + import litellm + + config = AzureAnthropicConfig() + + messages = [{"role": "user", "content": "Hello"}] + optional_params = { + "max_tokens": 100, + "extra_body": {"output_config": {"effort": "xhigh"}}, + } + litellm_params = {"api_key": "test-key"} + headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"} + + with pytest.raises(litellm.exceptions.BadRequestError) as exc_info: + config.transform_request( + model="claude-sonnet-4-6", + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + assert "xhigh" in str(exc_info.value) + + def test_extra_body_promotion_does_not_clobber_top_level(self): + """If a key exists at both top-level ``optional_params`` and + inside ``extra_body``, the top-level value wins (``setdefault`` + semantics). This protects against a caller who explicitly sets a + param at top-level and accidentally also has it in extra_body.""" + config = AzureAnthropicConfig() + + messages = [{"role": "user", "content": "Hello"}] + optional_params = { + "max_tokens": 100, + "output_config": {"effort": "low"}, # top-level wins + "extra_body": {"output_config": {"effort": "high"}}, # ignored + } + litellm_params = {"api_key": "test-key"} + headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"} + + result = config.transform_request( + model="claude-opus-4-6", + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + + assert result["output_config"] == {"effort": "low"} + def test_context_management_mixed_edits_beta_headers(self): """Test that context_management with both compact and other edits adds both beta headers""" config = AzureAnthropicConfig() From f8f07c5cb7ac5d81458dd18f40ea1d630d2d0d05 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Mon, 4 May 2026 00:47:55 -0700 Subject: [PATCH 117/160] refactor(anthropic): extract _validate_effort_for_model to prevent drift The chat completion path (`_apply_output_config`) and the /v1/messages pass-through (`AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic`) both gate `max` / `xhigh` per model. The two sites had diverged from near-identical copies into separately maintained blocks, creating a real drift risk when a new model tier (e.g. Claude 4.8) lands -- a contributor could update one site and miss the other. Centralise the gating in `AnthropicConfig._validate_effort_for_model`, which returns an error message string or `None`. Each call site keeps its own provider-appropriate exception type (`BadRequestError` for the chat path, `AnthropicError` for the /v1/messages pass-through) but the gating decision now comes from one place. Net -11 LOC. Adds a parametrised unit test exercising the helper directly across 4.5 / 4.6 / 4.7 model families and `max` / `xhigh` / lower-effort inputs. Existing tests at both call sites continue to pass unchanged. Addresses Greptile finding on PR #27074. --- litellm/llms/anthropic/chat/transformation.py | 71 +++++++++++-------- .../messages/transformation.py | 42 +++-------- .../test_anthropic_chat_transformation.py | 38 ++++++++++ 3 files changed, 89 insertions(+), 62 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 9de89d8ad55..a971bf1e961 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -275,6 +275,41 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): pass return False + @staticmethod + def _validate_effort_for_model(model: str, effort: Optional[str]) -> Optional[str]: + """Return ``None`` if ``effort`` is allowed on ``model``, else an error message. + + Centralises per-model gating for ``max`` and ``xhigh`` so the chat + completion path (``_apply_output_config``) and the /v1/messages + pass-through (``AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic``) + can't drift when a new model tier is added. Caller raises the + provider-appropriate exception type using the returned message. + + ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7 + adaptive-thinking models per + https://platform.claude.com/docs/en/build-with-claude/effort. The + data-driven ``supports_max_reasoning_effort`` flag in + ``model_prices_and_context_window.json`` is the source of truth; + family-level ``_is_claude_4_6_model`` / ``_is_claude_4_7_model`` + checks remain as a fallback for OpenRouter / GitHub Copilot / + Vercel / Bedrock variants whose model-map entries don't yet carry + the flag. + + ``xhigh`` is purely data-driven via ``supports_xhigh_reasoning_effort`` + so enabling it for a new model is a model-map-only change. + """ + if effort == "max" and not ( + AnthropicConfig._is_claude_4_6_model(model) + or AnthropicConfig._is_claude_4_7_model(model) + or AnthropicConfig._supports_effort_level(model, "max") + ): + return f"effort='max' is not supported by this model. Got model: {model}" + if effort == "xhigh" and not AnthropicConfig._supports_effort_level( + model, "xhigh" + ): + return f"effort='xhigh' is not supported by this model. Got model: {model}" + return None + @staticmethod def _model_supports_effort_param(model: str) -> bool: """Whether the model accepts ``output_config.effort`` at all. @@ -1710,36 +1745,14 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): model=model, llm_provider=self.custom_llm_provider or "anthropic", ) - # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7 - # adaptive-thinking models (per - # https://platform.claude.com/docs/en/build-with-claude/effort). - # Prefer the data-driven ``supports_max_reasoning_effort`` flag in - # ``model_prices_and_context_window.json`` so new variants only - # require a model-map update. Family-level ``_is_claude_4_6_model`` - # / ``_is_claude_4_7_model`` checks remain as a fallback for - # OpenRouter/GitHub Copilot/Vercel/Bedrock variants whose entries - # don't yet carry the flag. - if effort == "max" and not ( - self._is_claude_4_6_model(model) - or self._is_claude_4_7_model(model) - or self._supports_effort_level(model, "max") - ): + # Per-model gating for ``max`` / ``xhigh`` is centralised in + # ``_validate_effort_for_model`` so the chat path and the + # /v1/messages pass-through stay in lock-step when a new model + # tier lands. + gate_error = self._validate_effort_for_model(model, effort) + if gate_error is not None: raise litellm.exceptions.BadRequestError( - message=( - f"effort='max' is not supported by this model. " - f"Got model: {model}" - ), - model=model, - llm_provider=self.custom_llm_provider or "anthropic", - ) - # ``xhigh`` is data-driven via ``supports_xhigh_reasoning_effort`` so - # enabling it for a new model is a pure model-map change. - if effort == "xhigh" and not self._supports_effort_level(model, "xhigh"): - raise litellm.exceptions.BadRequestError( - message=( - f"effort='xhigh' is not supported by this model. " - f"Got model: {model}" - ), + message=gate_error, model=model, llm_provider=self.custom_llm_provider or "anthropic", ) diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py index f756279877d..8f35e79f568 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py @@ -239,39 +239,15 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): ), status_code=400, ) - # Per-model gating: ``xhigh`` and ``max`` are only valid on - # specific tiers (Opus 4.6/4.7 for max; data-driven for xhigh). - # The chat completion path enforces this via - # ``_apply_output_config``; mirror it here so /v1/messages - # callers see a clean 400 instead of a provider-side error. - # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude - # 4.7 adaptive-thinking models. Prefer the data-driven - # ``supports_max_reasoning_effort`` flag in - # ``model_prices_and_context_window.json``; family-level checks - # are a fallback for variants whose entries don't yet carry the - # flag. - if mapped_effort == "max" and not ( - AnthropicConfig._is_claude_4_6_model(model) - or AnthropicConfig._is_claude_4_7_model(model) - or AnthropicConfig._supports_effort_level(model, "max") - ): - raise AnthropicError( - message=( - f"effort='max' is not supported by this model. " - f"Got model: {model}" - ), - status_code=400, - ) - if mapped_effort == "xhigh" and not AnthropicConfig._supports_effort_level( - model, "xhigh" - ): - raise AnthropicError( - message=( - f"effort='xhigh' is not supported by this model. " - f"Got model: {model}" - ), - status_code=400, - ) + # Per-model gating for ``max`` / ``xhigh`` is centralised in + # ``AnthropicConfig._validate_effort_for_model`` so the chat + # completion path and this /v1/messages pass-through stay in + # lock-step when a new model tier lands. + gate_error = AnthropicConfig._validate_effort_for_model( + model, mapped_effort + ) + if gate_error is not None: + raise AnthropicError(message=gate_error, status_code=400) existing_output_config = optional_params.get("output_config") if not isinstance(existing_output_config, dict): existing_output_config = {} diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index 1aa664f6574..1aa753ff8f0 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -2101,6 +2101,44 @@ def test_supports_effort_level_handles_provider_prefixes(model, level, expected) assert AnthropicConfig._supports_effort_level(model, level) is expected +@pytest.mark.parametrize( + "model,effort,expect_error", + [ + # ``max`` accepted on 4.6 / 4.7 (family fallback) and rejected on 4.5. + ("claude-opus-4-6", "max", False), + ("claude-sonnet-4-6", "max", False), + ("claude-opus-4-7", "max", False), + ("claude-opus-4-5-20251101", "max", True), + ("claude-sonnet-4-5", "max", True), + # ``xhigh`` data-driven; only 4.7 carries the flag in the model map. + ("claude-opus-4-7", "xhigh", False), + ("claude-opus-4-6", "xhigh", True), + ("claude-sonnet-4-6", "xhigh", True), + # Lower efforts and ``None`` always pass the gate. + ("claude-opus-4-5-20251101", "high", False), + ("claude-haiku-4-5", "low", False), + ("claude-opus-4-5-20251101", None, False), + ], +) +def test_validate_effort_for_model_centralises_per_model_gating( + model, effort, expect_error +): + """``_validate_effort_for_model`` is the single source of truth for the + per-model ``max`` / ``xhigh`` gating that ``_apply_output_config`` (chat + completion path) and ``AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic`` + (/v1/messages pass-through) both rely on. Both call sites raise their + own provider-appropriate exception, but the gating decision must come + from one place to prevent drift when a new model tier lands. + """ + err = AnthropicConfig._validate_effort_for_model(model, effort) + if expect_error: + assert err is not None + assert effort in err + assert model in err + else: + assert err is None + + def test_transform_request_uses_dynamic_max_tokens(): """ Test that transform_request uses dynamic max_tokens based on model From 2c9166c4f3ecc807432d0bcb544900e56ddd22e2 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Mon, 4 May 2026 00:52:09 -0700 Subject: [PATCH 118/160] fix(databricks): narrow reasoning_effort_value to str for mypy `non_default_params.get("reasoning_effort")` returns `Any | None`, but `REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get()` expects `str`. Mypy flagged this on the strict pass. Narrow with `isinstance` before the lookup; non-strings fall through to the existing `BadRequestError` below with a clean validation message, so behavior is unchanged. Fixes a regression introduced by 1a10746e95 in this PR. --- litellm/llms/databricks/chat/transformation.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index a0b1ec3d692..34cf174c3fc 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -359,9 +359,15 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): if AnthropicConfig._is_claude_4_6_model( model ) or AnthropicConfig._is_claude_4_7_model(model): - mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( - reasoning_effort_value - ) + # ``reasoning_effort_value`` comes from ``non_default_params`` + # so its static type is ``Any | None``. Narrow to ``str`` for + # the mapping lookup; non-strings fall through to the + # ``BadRequestError`` below with a clean validation message. + mapped_effort: Optional[str] = None + if isinstance(reasoning_effort_value, str): + mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( + reasoning_effort_value + ) if mapped_effort is None: raise litellm.exceptions.BadRequestError( message=( From 32a5e77adf632da7018c525dd8213e40473339f5 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Mon, 4 May 2026 17:13:01 +0530 Subject: [PATCH 119/160] feat(proxy): add health_check_reasoning_effort for model health checks Co-authored-by: Cursor --- litellm/proxy/health_check.py | 11 ++++++ .../proxy/test_health_check_max_tokens.py | 34 +++++++++++++++++++ 2 files changed, 45 insertions(+) diff --git a/litellm/proxy/health_check.py b/litellm/proxy/health_check.py index 7c340ff5df6..400da9da0d5 100644 --- a/litellm/proxy/health_check.py +++ b/litellm/proxy/health_check.py @@ -36,6 +36,11 @@ ADMIN_ONLY_HEALTH_DISPLAY_PARAMS = ("api_base", "api_version") MINIMAL_DISPLAY_PARAMS = ["model", "mode_error"] +# Health-check modes that forward `reasoning_effort` to the provider (chat-style calls). +_HEALTH_CHECK_MODES_SUPPORTING_REASONING_EFFORT = frozenset( + (None, "chat", "completion") +) + def _get_process_rss_mb() -> Optional[float]: """ @@ -375,6 +380,12 @@ def _update_litellm_params_for_health_check( if _resolved_max_tokens is not None: litellm_params["max_tokens"] = _resolved_max_tokens + # Per-model reasoning effort for health checks only (e.g. reasoning_effort=none). + if model_info.get("mode", None) in _HEALTH_CHECK_MODES_SUPPORTING_REASONING_EFFORT: + _hc_reasoning_effort = model_info.get("health_check_reasoning_effort", None) + if _hc_reasoning_effort is not None: + litellm_params["reasoning_effort"] = _hc_reasoning_effort + _health_check_model = model_info.get("health_check_model", None) if _health_check_model is not None: litellm_params["model"] = _health_check_model diff --git a/tests/test_litellm/proxy/test_health_check_max_tokens.py b/tests/test_litellm/proxy/test_health_check_max_tokens.py index 09211b72c3e..5292d2af061 100644 --- a/tests/test_litellm/proxy/test_health_check_max_tokens.py +++ b/tests/test_litellm/proxy/test_health_check_max_tokens.py @@ -225,3 +225,37 @@ def test_wildcard_ignores_reasoning_split_model_info(monkeypatch): litellm_params = {"model": "openai/*"} assert _resolve_health_check_max_tokens(model_info, litellm_params) is None + + +def test_update_litellm_params_health_check_reasoning_effort(): + """model_info.health_check_reasoning_effort sets reasoning_effort for chat-style health checks.""" + model_info = {"health_check_reasoning_effort": "low"} + litellm_params = {"model": "openai/gpt-5", "api_key": "x"} + out = _update_litellm_params_for_health_check(model_info, dict(litellm_params)) + assert out.get("reasoning_effort") == "low" + + model_info = {"mode": "chat", "health_check_reasoning_effort": "none"} + out = _update_litellm_params_for_health_check( + model_info, {"model": "openai/gpt-5", "api_key": "x"} + ) + assert out.get("reasoning_effort") == "none" + + model_info = { + "health_check_reasoning_effort": {"effort": "none", "summary": "auto"}, + } + out = _update_litellm_params_for_health_check( + model_info, {"model": "openai/gpt-5.1", "api_key": "x"} + ) + assert out.get("reasoning_effort") == {"effort": "none", "summary": "auto"} + + model_info = {"mode": "embedding", "health_check_reasoning_effort": "low"} + out = _update_litellm_params_for_health_check( + model_info, {"model": "text-embedding-3-small", "api_key": "x"} + ) + assert "reasoning_effort" not in out + + model_info = {} + out = _update_litellm_params_for_health_check( + model_info, {"model": "openai/gpt-4o", "api_key": "x"} + ) + assert "reasoning_effort" not in out From f4d6d5953d6f6524fd66d92831a693c156f730d8 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Mon, 4 May 2026 09:24:59 -0700 Subject: [PATCH 120/160] test(anthropic/chat): force PR-local model_cost map via autouse fixture CI runs without LITELLM_LOCAL_MODEL_COST_MAP=True, so litellm.model_cost is loaded from main-branch JSON (default model_cost_map_url) instead of the PR's checked-out model_prices_and_context_window.json. Tests that assert per-model flags added in this PR (supports_max_reasoning_effort, supports_xhigh_reasoning_effort) therefore pass locally but fail in CI with 'AssertionError: assert False is True' on 5 cases: - test_anthropic_model_supports_effort_param_recognizes_supporting_models [anthropic.claude-mythos-preview, bedrock/.../mythos-preview, claude-opus-4-5-20251101] - test_supports_effort_level_handles_provider_prefixes [bedrock/invoke/us.anthropic.claude-sonnet-4-6-max-True, claude-sonnet-4-6-max-True] Add an autouse fixture at tests/test_litellm/llms/anthropic/chat/conftest.py that monkey-patches litellm.model_cost to the PR-local JSON for every test in this directory. The parent conftest already snapshots+restores litellm.model_cost per-function, so the mutation is contained. This is a scoped workaround. The proper fix is to set the env var globally in the test workflow once the ~10 inline self-set test files are audited; tracking that as a follow-up issue. --- .../llms/anthropic/chat/conftest.py | 54 +++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 tests/test_litellm/llms/anthropic/chat/conftest.py diff --git a/tests/test_litellm/llms/anthropic/chat/conftest.py b/tests/test_litellm/llms/anthropic/chat/conftest.py new file mode 100644 index 00000000000..7dc6aeeb902 --- /dev/null +++ b/tests/test_litellm/llms/anthropic/chat/conftest.py @@ -0,0 +1,54 @@ +""" +Local-conftest for ``tests/test_litellm/llms/anthropic/chat``. + +Why this exists +--------------- +``litellm.model_cost`` is loaded once at ``litellm.__init__`` time. By default +it fetches ``model_prices_and_context_window.json`` from the **main branch on +GitHub** (``litellm.model_cost_map_url``) — *not* from the PR-branch JSON in +the working tree. That works fine in production (operators get new models +without redeploying litellm) but is the wrong default for tests, which need +to validate the code in front of them against the data in front of them. + +Several anthropic chat transformation tests (``test_supports_effort_level_*``, +``test_anthropic_model_supports_effort_param_*``) assert per-model flags +like ``supports_max_reasoning_effort`` / ``supports_xhigh_reasoning_effort`` +that may exist in the PR-local JSON but not yet in main's JSON. Without this +fixture those tests pass locally (where AGENTS.md tells contributors to set +``LITELLM_LOCAL_MODEL_COST_MAP=True``) but fail in CI (which doesn't set the +env var) — the chicken-and-egg PR adds flag → CI fetches main without flag +→ test fails → flag never lands on main. + +The fixture force-loads ``litellm.model_cost`` from the local JSON for every +test in this directory. ``tests/test_litellm/conftest.py`` already snapshots +and restores ``litellm.model_cost`` per-function, so this mutation is safe +and contained. + +This is a scoped workaround. The proper fix is to set +``LITELLM_LOCAL_MODEL_COST_MAP=True`` globally in the test workflow once the +~10 inline-set test files have been audited and the few tests that exercise +the remote-fetch / integrity-validation path have been given carve-outs. +Tracked at https://github.com/BerriAI/litellm/issues/27122. +""" + +import os + +import pytest + +import litellm +from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map + + +@pytest.fixture(autouse=True) +def _use_pr_local_model_cost_map(monkeypatch): + """Force ``litellm.model_cost`` to the PR-branch JSON for the duration of + each test. ``monkeypatch`` reverts the env var after the test; the parent + conftest restores ``litellm.model_cost`` from its snapshot. + """ + monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True") + monkeypatch.setattr( + litellm, + "model_cost", + get_model_cost_map(url=litellm.model_cost_map_url), + ) + yield From 08d130a8fe39c792e16ad743fc57c3c89318f5e3 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 4 May 2026 09:55:53 -0700 Subject: [PATCH 121/160] [Fix] Docker: Pin Wolfi And Uv To Multi-Arch Index Digests The previous pins resolved to single-platform amd64 manifests, so buildx pulled the same amd64 base for both linux/amd64 and linux/arm64 targets. The published OCI index then advertised an arm64 entry whose layers are byte-identical to amd64 -- arm64 users got an amd64 binary. Switch all three Dockerfiles to the multi-arch image-index digests: - cgr.dev/chainguard/wolfi-base (index has linux/amd64 + linux/arm64) - ghcr.io/astral-sh/uv:0.11.7 (index has linux/amd64 + linux/arm64) Resolved with `docker buildx imagetools inspect ` -- that returns the index digest. `docker pull` + `docker inspect` returns the per-host platform digest, which is what slipped in last time. --- Dockerfile | 6 +++--- docker/Dockerfile.database | 6 +++--- docker/Dockerfile.non_root | 6 +++--- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/Dockerfile b/Dockerfile index 03779d6c884..915daff999c 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,9 +1,9 @@ # Base image for building -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31 # Runtime image -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f -ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database index e3edcece61c..671f374ca27 100644 --- a/docker/Dockerfile.database +++ b/docker/Dockerfile.database @@ -1,9 +1,9 @@ # Base image for building -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31 # Runtime image -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f -ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 8512ae8ad92..ab40ee138e3 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -1,8 +1,8 @@ # Base images -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31 ARG PROXY_EXTRAS_SOURCE=published -ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin From 25a5cccc7a9623b7e8d63450118b7697991e6d04 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 4 May 2026 10:02:48 -0700 Subject: [PATCH 122/160] [Fix] Docker: Pin Uv To Multi-Arch Index Digest In Remaining Dockerfiles Apply the same fix to the three Dockerfiles not in the release pipeline today (alpine, dev, health_check) so they stay correct if/when they're built for arm64 in the future. Wolfi pins are not present in these files; the python:3.11-alpine and python:3.13-slim digests they already use are multi-arch indexes that include arm64/v8, so only the uv pin needed swapping. --- docker/Dockerfile.alpine | 2 +- docker/Dockerfile.dev | 2 +- docker/Dockerfile.health_check | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docker/Dockerfile.alpine b/docker/Dockerfile.alpine index 2cfc5ef03ff..5de588cf4e4 100644 --- a/docker/Dockerfile.alpine +++ b/docker/Dockerfile.alpine @@ -3,7 +3,7 @@ ARG LITELLM_BUILD_IMAGE=python:3.11-alpine@sha256:f07e2ace46f560f09a6eeec7b4913b # Runtime image ARG LITELLM_RUNTIME_IMAGE=python:3.11-alpine@sha256:f07e2ace46f560f09a6eeec7b4913b80ee99546e749ef82342a419a326620856 -ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin diff --git a/docker/Dockerfile.dev b/docker/Dockerfile.dev index e2dc1857835..ebc92a22d50 100644 --- a/docker/Dockerfile.dev +++ b/docker/Dockerfile.dev @@ -3,7 +3,7 @@ ARG LITELLM_BUILD_IMAGE=python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973a # Runtime image ARG LITELLM_RUNTIME_IMAGE=python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973afcbd606dbf021a589cab77d6b00b579d -ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin diff --git a/docker/Dockerfile.health_check b/docker/Dockerfile.health_check index 07d35b5e291..a2e5cb9f71f 100644 --- a/docker/Dockerfile.health_check +++ b/docker/Dockerfile.health_check @@ -1,4 +1,4 @@ -ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin FROM python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973afcbd606dbf021a589cab77d6b00b579d From c1708ddbba21fcbc534df86fe6593f9e95736467 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Mon, 4 May 2026 10:34:31 -0700 Subject: [PATCH 123/160] fix(xai): fold reasoning_tokens into completion_tokens to satisfy OpenAI invariant MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit xAI's chat completions API accounts reasoning_tokens separately from completion_tokens, but rolls them into total_tokens. This breaks the OpenAI invariant total_tokens == prompt_tokens + completion_tokens that downstream consumers (including litellm's own _usage_format_tests in tests/llm_translation/base_llm_unit_tests.py:58) rely on. Live capture (grok-3-mini-beta, 2026-05-04): prompt=14, completion=10, total=336, reasoning=312 14 + 10 = 24, NOT 336. OpenAI's o1/o3 reasoning models include reasoning_tokens in completion_tokens, leaving the prompt+completion=total invariant intact. xAI deviates. This patch aligns xAI to OpenAI semantics by folding reasoning_tokens into completion_tokens after the parent OpenAI parser runs. The fold is idempotent and defensive: - Only fires when total_tokens == prompt_tokens + completion_tokens + reasoning_tokens (the documented xAI shape). Refuses to fold if the gap doesn't match, guarding against silent corruption when xAI changes accounting. - Skips if completion_tokens already covers the gap (already normalised — e.g. cost calc replays a previously-folded Usage). xai.cost_calculator.cost_per_token already added reasoning_tokens to the visible completion count for billing. Post-fold the Usage block now satisfies that invariant directly, so the cost calc would double-bill. Updated cost_per_token to detect the OpenAI-normalised shape (total == prompt + completion) and skip the reasoning add-on in that case, falling through to the legacy raw-shape behaviour for callers that bypass the transformation (e.g. proxy log replay). Tests: - Adds TestXAIReasoningTokenFolding covering: gap-explained-fold, idempotent-no-double-fold, no-reasoning-skip, gap-mismatch-skip. - Adds test_already_normalised_usage_does_not_double_count_reasoning to lock the cost-calc idempotency. - Updates 7 pre-existing cost-calc tests whose total_tokens was internally inconsistent (used the OpenAI-normalised total but kept reasoning_tokens external) to use the documented xAI raw shape total = prompt + visible completion + reasoning. Pre-existing values masked the missing-fold by accident. Verified end-to-end against the live xAI API: LITELLM_LOCAL_MODEL_COST_MAP=False (CI default) + XAI_API_KEY set + pytest tests/llm_translation/test_xai.py::TestXAIChat::test_prompt_caching -> PASSED in 18.81s (was: AssertionError on usage.total_tokens == usage.prompt_tokens + usage.completion_tokens) 20/20 tests in tests/test_litellm/llms/xai/test_xai_cost_calculator.py and 8/8 in tests/test_litellm/llms/xai/test_xai_chat_transformation.py pass. --- litellm/llms/xai/chat/transformation.py | 49 ++++++++++ litellm/llms/xai/cost_calculator.py | 16 +++- .../llms/xai/test_xai_chat_transformation.py | 96 ++++++++++++++++++- .../llms/xai/test_xai_cost_calculator.py | 54 +++++++++-- 4 files changed, 203 insertions(+), 12 deletions(-) diff --git a/litellm/llms/xai/chat/transformation.py b/litellm/llms/xai/chat/transformation.py index 64b4a545acb..b1c0aaccf1d 100644 --- a/litellm/llms/xai/chat/transformation.py +++ b/litellm/llms/xai/chat/transformation.py @@ -223,8 +223,57 @@ class XAIChatConfig(OpenAIGPTConfig): self._enhance_usage_with_xai_web_search_fields(response, raw_response_json) except Exception as e: verbose_logger.debug(f"Error extracting X.AI web search usage: {e}") + + # X.AI excludes reasoning_tokens from completion_tokens, breaking the + # OpenAI invariant total_tokens == prompt_tokens + completion_tokens. + # OpenAI o1/o3 fold reasoning into completion_tokens; align X.AI to + # match so downstream consumers (including litellm's own usage tests) + # see a self-consistent Usage object. Cost calc already accounts for + # reasoning tokens separately in xai.cost_calculator. + self._fold_reasoning_tokens_into_completion(response) return response + @staticmethod + def _fold_reasoning_tokens_into_completion(model_response: ModelResponse) -> None: + """Reconcile xAI Usage to the OpenAI invariant. + + xAI returns ``completion_tokens`` covering only visible output and + accounts ``reasoning_tokens`` separately, while still rolling them + into ``total_tokens``. OpenAI's published contract (o1/o3) includes + reasoning in ``completion_tokens``. Tests that assert + ``total_tokens == prompt_tokens + completion_tokens`` (e.g. + ``_usage_format_tests``) fail on the raw xAI shape. + + This helper is idempotent: if ``completion_tokens`` already covers + the gap, no change is made. + """ + usage = getattr(model_response, "usage", None) + if usage is None: + return + + details = getattr(usage, "completion_tokens_details", None) + reasoning_tokens = ( + int(getattr(details, "reasoning_tokens", 0) or 0) if details else 0 + ) + if reasoning_tokens <= 0: + return + + prompt_tokens = int(getattr(usage, "prompt_tokens", 0) or 0) + completion_tokens = int(getattr(usage, "completion_tokens", 0) or 0) + total_tokens = int(getattr(usage, "total_tokens", 0) or 0) + + # Already consistent — nothing to do. + if total_tokens == prompt_tokens + completion_tokens: + return + + # Only fold when xAI's accounting (total = prompt + completion + + # reasoning) explains the gap. This guards against double-counting + # if xAI ever changes their semantics. + if total_tokens != prompt_tokens + completion_tokens + reasoning_tokens: + return + + usage.completion_tokens = completion_tokens + reasoning_tokens + def _enhance_usage_with_xai_web_search_fields( self, model_response: ModelResponse, raw_response_json: dict ) -> None: diff --git a/litellm/llms/xai/cost_calculator.py b/litellm/llms/xai/cost_calculator.py index 0cfcfe98415..df5a7beffa3 100644 --- a/litellm/llms/xai/cost_calculator.py +++ b/litellm/llms/xai/cost_calculator.py @@ -26,15 +26,27 @@ def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]: Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd """ # XAI-specific completion cost calculation - # For XAI models, completion is billed as (visible completion tokens + reasoning tokens) + # For XAI models, completion is billed as (visible completion tokens + reasoning tokens). + # The transformation layer normalises Usage to the OpenAI invariant + # (completion_tokens includes reasoning_tokens), so detect that and avoid + # double-counting. Fall back to the raw xAI shape (visible-only completion + + # reasoning kept in completion_tokens_details) for callers that bypass the + # transformation, e.g. proxy logs replayed straight into cost calc. + prompt_tokens = int(getattr(usage, "prompt_tokens", 0) or 0) completion_tokens = int(getattr(usage, "completion_tokens", 0) or 0) + total_tokens = int(getattr(usage, "total_tokens", 0) or 0) reasoning_tokens = 0 if hasattr(usage, "completion_tokens_details") and usage.completion_tokens_details: reasoning_tokens = int( getattr(usage.completion_tokens_details, "reasoning_tokens", 0) or 0 ) - total_completion_tokens = completion_tokens + reasoning_tokens + already_normalised = total_tokens == prompt_tokens + completion_tokens + total_completion_tokens = ( + completion_tokens + if already_normalised + else completion_tokens + reasoning_tokens + ) modified_usage = Usage( prompt_tokens=usage.prompt_tokens, diff --git a/tests/test_litellm/llms/xai/test_xai_chat_transformation.py b/tests/test_litellm/llms/xai/test_xai_chat_transformation.py index 5a236de900e..a8bbb880c5b 100644 --- a/tests/test_litellm/llms/xai/test_xai_chat_transformation.py +++ b/tests/test_litellm/llms/xai/test_xai_chat_transformation.py @@ -6,6 +6,98 @@ sys.path.insert( ) # Adds the parent directory to the system path from litellm.llms.xai.chat.transformation import XAIChatConfig +from litellm.types.utils import ( + CompletionTokensDetailsWrapper, + ModelResponse, + Usage, +) + + +class TestXAIReasoningTokenFolding: + """xAI breaks the OpenAI invariant total = prompt + completion by accounting + reasoning_tokens separately. ``_fold_reasoning_tokens_into_completion`` + re-aligns Usage so downstream consumers see the OpenAI shape (o1/o3 + semantics: completion_tokens includes reasoning).""" + + @staticmethod + def _make_response( + prompt_tokens: int, + completion_tokens: int, + total_tokens: int, + reasoning_tokens: int = 0, + ) -> ModelResponse: + details = ( + CompletionTokensDetailsWrapper(reasoning_tokens=reasoning_tokens) + if reasoning_tokens + else None + ) + usage = Usage( + prompt_tokens=prompt_tokens, + completion_tokens=completion_tokens, + total_tokens=total_tokens, + completion_tokens_details=details, + ) + response = ModelResponse() + setattr(response, "usage", usage) + return response + + def test_should_fold_when_total_explained_by_reasoning_gap(self): + # Real xAI live shape captured 2026-05-04: prompt=14, completion=10, + # total=336, reasoning=312. 14+10+312 == 336. + response = self._make_response( + prompt_tokens=14, + completion_tokens=10, + total_tokens=336, + reasoning_tokens=312, + ) + + XAIChatConfig._fold_reasoning_tokens_into_completion(response) + + usage = response.usage + assert usage.completion_tokens == 322 + assert usage.total_tokens == usage.prompt_tokens + usage.completion_tokens + + def test_should_not_fold_when_already_normalised(self): + # OpenAI-normalised shape: completion already includes reasoning. + response = self._make_response( + prompt_tokens=14, + completion_tokens=322, + total_tokens=336, + reasoning_tokens=312, + ) + + XAIChatConfig._fold_reasoning_tokens_into_completion(response) + + # Idempotent — no double-fold. + assert response.usage.completion_tokens == 322 + + def test_should_skip_when_no_reasoning_tokens(self): + response = self._make_response( + prompt_tokens=14, + completion_tokens=10, + total_tokens=24, + reasoning_tokens=0, + ) + + XAIChatConfig._fold_reasoning_tokens_into_completion(response) + + assert response.usage.completion_tokens == 10 + + def test_should_skip_when_gap_does_not_match_reasoning(self): + # Defensive guard: if xAI ever changes accounting and the gap stops + # equalling reasoning_tokens, refuse to fold rather than corrupt. + response = self._make_response( + prompt_tokens=14, + completion_tokens=10, + total_tokens=999, + reasoning_tokens=312, + ) + + XAIChatConfig._fold_reasoning_tokens_into_completion(response) + + # No fold; original values preserved. + assert response.usage.completion_tokens == 10 + assert response.usage.total_tokens == 999 class TestXAIParallelToolCalls: @@ -14,9 +106,7 @@ class TestXAIParallelToolCalls: def test_get_supported_openai_params_includes_parallel_tool_calls(self): """Test that parallel_tool_calls is in supported parameters.""" config = XAIChatConfig() - supported_params = config.get_supported_openai_params( - "xai/grok-4.20" - ) + supported_params = config.get_supported_openai_params("xai/grok-4.20") assert "parallel_tool_calls" in supported_params def test_transform_request_preserves_parallel_tool_calls(self): diff --git a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py index 0463199f7e6..a8aae346224 100644 --- a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py +++ b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py @@ -107,10 +107,11 @@ class TestXAICostCalculator: def test_grok_4_cost_calculation(self): """Test cost calculation for grok-4 model.""" + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=10, completion_tokens=200, - total_tokens=210, + total_tokens=360, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -133,10 +134,11 @@ class TestXAICostCalculator: def test_grok_3_fast_beta_cost_calculation(self): """Test cost calculation for grok-3-fast-beta model.""" + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=20, completion_tokens=300, - total_tokens=320, + total_tokens=520, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -174,10 +176,11 @@ class TestXAICostCalculator: def test_edge_case_large_reasoning_tokens(self): """Test cost calculation when reasoning_tokens is larger than completion_tokens.""" + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=12, completion_tokens=50, # Less than reasoning_tokens - total_tokens=62, + total_tokens=162, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -201,10 +204,11 @@ class TestXAICostCalculator: def test_tiered_pricing_above_128k_tokens(self): """Test tiered pricing for tokens above 128k.""" # Test with grok-4-fast-reasoning which has tiered pricing + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=150000, # Above 128k threshold completion_tokens=100000, # Above 128k threshold - total_tokens=250000, + total_tokens=300000, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -230,10 +234,11 @@ class TestXAICostCalculator: def test_tiered_pricing_below_128k_tokens(self): """Test that regular pricing is used for tokens below 128k threshold.""" # Test with grok-4-fast-reasoning which has tiered pricing + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=100000, # Below 128k threshold completion_tokens=50000, - total_tokens=150000, + total_tokens=160000, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -258,10 +263,11 @@ class TestXAICostCalculator: def test_tiered_pricing_grok_4_latest(self): """Test tiered pricing for grok-4-latest model.""" + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=200000, # Above 128k threshold completion_tokens=100000, - total_tokens=300000, + total_tokens=350000, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -286,10 +292,11 @@ class TestXAICostCalculator: def test_tiered_pricing_output_tokens_below_128k(self): """Test that output tokens get tiered rate when input tokens > 128k, even if output tokens < 128k.""" + # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=150000, # Above 128k threshold completion_tokens=50000, # Below 128k threshold - total_tokens=200000, + total_tokens=210000, completion_tokens_details=CompletionTokensDetailsWrapper( accepted_prediction_tokens=0, audio_tokens=0, @@ -331,6 +338,39 @@ class TestXAICostCalculator: assert math.isclose(prompt_cost, expected_prompt_cost, rel_tol=1e-10) assert math.isclose(completion_cost, expected_completion_cost, rel_tol=1e-10) + def test_already_normalised_usage_does_not_double_count_reasoning(self): + """Cost calc receives Usage post-transformation (OpenAI invariant). + + After XAIChatConfig.transform_response folds reasoning_tokens into + completion_tokens, the Usage block satisfies + ``total_tokens == prompt_tokens + completion_tokens``. Cost calc must + detect this and skip the reasoning_tokens add-on, otherwise it + double-bills the reasoning tokens. + """ + # OpenAI-normalised shape: completion_tokens already includes the + # 100 reasoning tokens (so 100 visible + 100 reasoning -> 200). + usage = Usage( + prompt_tokens=12, + completion_tokens=200, + total_tokens=212, + completion_tokens_details=CompletionTokensDetailsWrapper( + accepted_prediction_tokens=0, + audio_tokens=0, + reasoning_tokens=100, + rejected_prediction_tokens=0, + text_tokens=None, + ), + ) + + prompt_cost, completion_cost = cost_per_token(model="grok-3-mini", usage=usage) + + # Bill exactly what completion_tokens reports — no double-add. + expected_prompt_cost = 12 * 3e-7 + expected_completion_cost = 200 * 5e-7 + + assert math.isclose(prompt_cost, expected_prompt_cost, rel_tol=1e-10) + assert math.isclose(completion_cost, expected_completion_cost, rel_tol=1e-10) + def test_web_search_cost_calculation(self): """Test web search cost calculation for X.AI models.""" # Test with web_search_requests in prompt_tokens_details (primary path) From 5d124892d249004ce4de761c6b615375cfd2a0a4 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Mon, 4 May 2026 18:01:30 +0000 Subject: [PATCH 124/160] refactor(bedrock/converse): delegate effort gating to AnthropicConfig._validate_effort_for_model Removes the duplicated max/xhigh gating logic in _validate_anthropic_adaptive_effort and the now-unused _supports_effort_level_on_bedrock helper. Per-model gating now flows through the centralized AnthropicConfig._validate_effort_for_model (whose _supports_effort_level already strips Bedrock prefixes), so the chat completion, /v1/messages, and Bedrock Converse paths can't drift when a new gated effort tier is added. --- .../bedrock/chat/converse_transformation.py | 61 +++---------------- 1 file changed, 9 insertions(+), 52 deletions(-) diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 14c7c3030c4..d3dff398a6e 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -511,34 +511,17 @@ class AmazonConverseConfig(BaseConfig): ) optional_params["output_config"] = {"effort": mapped_effort} - @staticmethod - def _supports_effort_level_on_bedrock(model: str, level: str) -> bool: - """Look up ``supports_{level}_reasoning_effort`` for a Bedrock-routed - model id directly in ``litellm.model_cost`` so the bedrock provider - prefix is irrelevant to the lookup. ``AnthropicConfig._supports_effort_level`` - hard-codes ``custom_llm_provider="anthropic"`` and returns False for - the same effort level on a Bedrock model id. - """ - try: - base_model = BedrockModelInfo.get_base_model(model) - for key in (model, base_model, f"bedrock/{base_model}"): - if key and key in litellm.model_cost: - if ( - litellm.model_cost[key].get( - f"supports_{level}_reasoning_effort" - ) - is True - ): - return True - except Exception: - pass - return False - @staticmethod def _validate_anthropic_adaptive_effort(model: str, effort: str) -> None: """Validate ``output_config.effort`` for adaptive-thinking Claude 4.6/4.7 on Bedrock. Raises ``BadRequestError`` (clean 400) instead of letting a downstream ``ValueError`` surface as 500. + + Per-model gating for ``max``/``xhigh`` is delegated to + ``AnthropicConfig._validate_effort_for_model`` so the Bedrock Converse + path and the Anthropic chat / ``/v1/messages`` paths can't drift when + a new gated effort tier is added. ``_supports_effort_level`` on + ``AnthropicConfig`` already handles Bedrock-prefixed model ids. """ valid_efforts = {"high", "medium", "low", "xhigh", "max"} if effort not in valid_efforts: @@ -551,36 +534,10 @@ class AmazonConverseConfig(BaseConfig): model=model, llm_provider="bedrock_converse", ) - # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7 - # adaptive-thinking models. Prefer the data-driven - # ``supports_max_reasoning_effort`` flag in - # ``model_prices_and_context_window.json`` so new variants only - # require a model-map update; family-level checks remain a fallback - # for Bedrock model ids whose entries don't yet carry the flag. - if effort == "max" and not ( - AnthropicConfig._is_claude_4_6_model(model) - or AnthropicConfig._is_claude_4_7_model(model) - or AmazonConverseConfig._supports_effort_level_on_bedrock(model, "max") - ): + error = AnthropicConfig._validate_effort_for_model(model=model, effort=effort) + if error is not None: raise litellm.exceptions.BadRequestError( - message=( - f"effort='max' is not supported by this model. " - f"Got model: {model}" - ), - model=model, - llm_provider="bedrock_converse", - ) - if ( - effort == "xhigh" - and not AmazonConverseConfig._supports_effort_level_on_bedrock( - model, "xhigh" - ) - ): - raise litellm.exceptions.BadRequestError( - message=( - f"effort='xhigh' is not supported by this model. " - f"Got model: {model}" - ), + message=error, model=model, llm_provider="bedrock_converse", ) From ed3b056bc8fa2cfb5e883de2108acc438310d2c9 Mon Sep 17 00:00:00 2001 From: harish-berri Date: Mon, 4 May 2026 18:17:31 +0000 Subject: [PATCH 125/160] Implement normalize_nonempty_secret_str function to trim whitespace from secrets and treat empty values as unset. Update proxy_server to use this function for Grafana credentials. Enhance tests to validate the new normalization behavior. --- litellm/proxy/proxy_server.py | 10 ++- litellm/secret_managers/main.py | 13 +++ tests/test_litellm/proxy/test_pyroscope.py | 83 +++++++++++++++++-- .../test_secret_managers_main.py | 16 +++- 4 files changed, 111 insertions(+), 11 deletions(-) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 4b663904b52..a5905765c6e 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -476,6 +476,7 @@ from litellm.secret_managers.main import ( get_secret, get_secret_bool, get_secret_str, + normalize_nonempty_secret_str, str_to_bool, ) from litellm.types.integrations.slack_alerting import SlackAlertingArgs @@ -7516,11 +7517,12 @@ class ProxyStartupEvent: if env_name: tags["environment"] = env_name sample_rate_env = os.getenv("PYROSCOPE_SAMPLE_RATE") - grafana_pyroscope_user = get_secret_str( - "PYROSCOPE_GRAFANA_USER", default_value=None + + grafana_pyroscope_user = normalize_nonempty_secret_str( + get_secret_str("PYROSCOPE_GRAFANA_USER", default_value=None) ) - grafana_api_token = get_secret_str( - "PYROSCOPE_GRAFANA_API_TOKEN", default_value=None + grafana_api_token = normalize_nonempty_secret_str( + get_secret_str("PYROSCOPE_GRAFANA_API_TOKEN", default_value=None) ) if grafana_api_token and not grafana_pyroscope_user: raise ValueError( diff --git a/litellm/secret_managers/main.py b/litellm/secret_managers/main.py index a560f5222b9..5c31d81f04c 100644 --- a/litellm/secret_managers/main.py +++ b/litellm/secret_managers/main.py @@ -120,6 +120,19 @@ def get_secret_str( return value +def normalize_nonempty_secret_str(val: Optional[str]) -> Optional[str]: + """ + Strip whitespace and treat None, '', and whitespace-only strings as unset. + + Use when pairing secrets (mutual exclusion, optional auth) so whitespace-only + values do not count as present. + """ + if val is None: + return None + stripped = val.strip() + return stripped if stripped else None + + def get_secret_bool( secret_name: str, default_value: Optional[bool] = None, diff --git a/tests/test_litellm/proxy/test_pyroscope.py b/tests/test_litellm/proxy/test_pyroscope.py index fc2499101ca..0ac3e110613 100644 --- a/tests/test_litellm/proxy/test_pyroscope.py +++ b/tests/test_litellm/proxy/test_pyroscope.py @@ -2,11 +2,13 @@ import os import sys +from typing import Optional from unittest.mock import MagicMock, patch import pytest from litellm.proxy.proxy_server import ProxyStartupEvent +from litellm.secret_managers.main import get_secret_str as real_get_secret_str def _mock_pyroscope_module(): @@ -16,6 +18,22 @@ def _mock_pyroscope_module(): return m +def _patch_pyroscope_grafana_secrets(user: Optional[str], token: Optional[str]): + """Patch proxy_server.get_secret_str for Grafana keys; defer other secrets to the real helper.""" + + def side_effect(secret_name: str, default_value=None): + if secret_name == "PYROSCOPE_GRAFANA_USER": + return user + if secret_name == "PYROSCOPE_GRAFANA_API_TOKEN": + return token + return real_get_secret_str(secret_name, default_value) + + return patch( + "litellm.proxy.proxy_server.get_secret_str", + side_effect=side_effect, + ) + + def test_init_pyroscope_returns_cleanly_when_disabled(): """When LITELLM_ENABLE_PYROSCOPE is false, _init_pyroscope returns without error.""" with ( @@ -184,6 +202,7 @@ def test_init_pyroscope_configures_grafana_cloud_basic_auth(): "litellm.proxy.proxy_server.get_secret_bool", return_value=True, ), + _patch_pyroscope_grafana_secrets("123456", "glc_test_token"), patch.dict( sys.modules, {"pyroscope": mock_pyroscope}, @@ -194,8 +213,6 @@ def test_init_pyroscope_configures_grafana_cloud_basic_auth(): "LITELLM_ENABLE_PYROSCOPE": "true", "PYROSCOPE_APP_NAME": "myapp", "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", - "PYROSCOPE_GRAFANA_USER": "123456", - "PYROSCOPE_GRAFANA_API_TOKEN": "glc_test_token", }, clear=False, ), @@ -214,6 +231,7 @@ def test_init_pyroscope_raises_when_grafana_token_missing_user(): "litellm.proxy.proxy_server.get_secret_bool", return_value=True, ), + _patch_pyroscope_grafana_secrets("", "glc_test_token"), patch.dict( sys.modules, {"pyroscope": mock_pyroscope}, @@ -224,8 +242,6 @@ def test_init_pyroscope_raises_when_grafana_token_missing_user(): "LITELLM_ENABLE_PYROSCOPE": "true", "PYROSCOPE_APP_NAME": "myapp", "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", - "PYROSCOPE_GRAFANA_USER": "", - "PYROSCOPE_GRAFANA_API_TOKEN": "glc_test_token", }, clear=False, ), @@ -242,6 +258,7 @@ def test_init_pyroscope_raises_when_grafana_user_missing_token(): "litellm.proxy.proxy_server.get_secret_bool", return_value=True, ), + _patch_pyroscope_grafana_secrets("123456", ""), patch.dict( sys.modules, {"pyroscope": mock_pyroscope}, @@ -252,11 +269,65 @@ def test_init_pyroscope_raises_when_grafana_user_missing_token(): "LITELLM_ENABLE_PYROSCOPE": "true", "PYROSCOPE_APP_NAME": "myapp", "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", - "PYROSCOPE_GRAFANA_USER": "123456", - "PYROSCOPE_GRAFANA_API_TOKEN": "", }, clear=False, ), ): with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_API_TOKEN"): ProxyStartupEvent._init_pyroscope() + + +def test_init_pyroscope_raises_when_grafana_user_whitespace_only_with_token(): + """Whitespace-only user id does not satisfy Grafana mutual exclusion.""" + mock_pyroscope = _mock_pyroscope_module() + with ( + patch( + "litellm.proxy.proxy_server.get_secret_bool", + return_value=True, + ), + _patch_pyroscope_grafana_secrets(" \t", "glc_test_token"), + patch.dict( + sys.modules, + {"pyroscope": mock_pyroscope}, + ), + patch.dict( + os.environ, + { + "LITELLM_ENABLE_PYROSCOPE": "true", + "PYROSCOPE_APP_NAME": "myapp", + "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", + }, + clear=False, + ), + ): + with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_USER"): + ProxyStartupEvent._init_pyroscope() + + +def test_init_pyroscope_strips_grafana_credentials_for_basic_auth(): + """Leading/trailing whitespace on Grafana secrets is trimmed before configure.""" + mock_pyroscope = _mock_pyroscope_module() + with ( + patch( + "litellm.proxy.proxy_server.get_secret_bool", + return_value=True, + ), + _patch_pyroscope_grafana_secrets(" 123456 ", " glc_test_token\n"), + patch.dict( + sys.modules, + {"pyroscope": mock_pyroscope}, + ), + patch.dict( + os.environ, + { + "LITELLM_ENABLE_PYROSCOPE": "true", + "PYROSCOPE_APP_NAME": "myapp", + "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net", + }, + clear=False, + ), + ): + ProxyStartupEvent._init_pyroscope() + call_kw = mock_pyroscope.configure.call_args[1] + assert call_kw["basic_auth_username"] == "123456" + assert call_kw["basic_auth_password"] == "glc_test_token" diff --git a/tests/test_litellm/secret_managers/test_secret_managers_main.py b/tests/test_litellm/secret_managers/test_secret_managers_main.py index 6d0e33b3e28..b406231804b 100644 --- a/tests/test_litellm/secret_managers/test_secret_managers_main.py +++ b/tests/test_litellm/secret_managers/test_secret_managers_main.py @@ -4,7 +4,7 @@ from unittest.mock import Mock, patch import pytest -from litellm.secret_managers.main import get_secret +from litellm.secret_managers.main import get_secret, normalize_nonempty_secret_str # Set up logging for debugging logging.basicConfig(level=logging.DEBUG) @@ -253,3 +253,17 @@ def test_unsupported_oidc_provider(): with pytest.raises(ValueError, match="Unsupported OIDC provider"): get_secret(secret_name) + + +@pytest.mark.parametrize( + ("raw", "expected"), + [ + (None, None), + ("", None), + (" \t\n", None), + ("abc", "abc"), + (" xyz ", "xyz"), + ], +) +def test_normalize_nonempty_secret_str(raw, expected): + assert normalize_nonempty_secret_str(raw) == expected From a05d3b585170a5db361ece0c1f227c134686ac3d Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 11:18:41 -0700 Subject: [PATCH 126/160] Fix qdrant semantic cache miss metadata --- litellm/caching/qdrant_semantic_cache.py | 6 ++ .../caching/test_qdrant_semantic_cache.py | 70 +++++++++++++++++++ 2 files changed, 76 insertions(+) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index e7436e2ca6b..47359a60233 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -340,9 +340,11 @@ class QdrantSemanticCache(BaseCache): results = search_response.json()["result"] if results is None: + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None if isinstance(results, list): if len(results) == 0: + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None similarity = results[0]["score"] @@ -358,6 +360,10 @@ class QdrantSemanticCache(BaseCache): print_verbose( f"semantic cache: similarity threshold: {self.similarity_threshold}, similarity: {similarity}, prompt: {prompt}, closest_cached_prompt: {cached_prompt}" ) + + # update kwargs["metadata"] with similarity, don't rewrite the original metadata + kwargs.setdefault("metadata", {})["semantic-similarity"] = similarity + if similarity >= self.similarity_threshold: # cache hit ! cached_value = payload["response"] diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index 71dbd24063e..949e6ccc292 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -241,6 +241,76 @@ def test_qdrant_semantic_cache_payload_index_exception_is_non_blocking(): qdrant_cache.sync_client.put.assert_called_once() +def _mock_qdrant_get_cache_result(qdrant_result): + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache) + qdrant_cache.embedding_model = "text-embedding-ada-002" + qdrant_cache.qdrant_api_base = "http://test.qdrant.local" + qdrant_cache.collection_name = "test_collection" + qdrant_cache.headers = { + "Content-Type": "application/json", + "api-key": "test_key", + } + qdrant_cache.similarity_threshold = 0.8 + qdrant_cache.sync_client = MagicMock() + + mock_search_response = MagicMock() + mock_search_response.status_code = 200 + mock_search_response.json.return_value = {"result": qdrant_result} + qdrant_cache.sync_client.post.return_value = mock_search_response + + return qdrant_cache, QdrantSemanticCache + + +@pytest.mark.parametrize("qdrant_result", [None, []]) +def test_qdrant_semantic_cache_get_cache_sets_metadata_on_empty_miss(qdrant_result): + qdrant_cache, _ = _mock_qdrant_get_cache_result(qdrant_result) + metadata = {} + + with patch( + "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} + ): + result = qdrant_cache.get_cache( + key="test_key", + messages=[{"content": "What is the capital of Spain?"}], + metadata=metadata, + ) + + assert result is None + assert metadata["semantic-similarity"] == 0.0 + + +def test_qdrant_semantic_cache_get_cache_sets_metadata_on_below_threshold_miss(): + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache, _ = _mock_qdrant_get_cache_result( + [ + { + "payload": { + QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "test_key", + "text": "What is the capital of Spain?", + "response": '{"id": "test-456"}', + }, + "score": 0.7, + } + ] + ) + metadata = {} + + with patch( + "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} + ): + result = qdrant_cache.get_cache( + key="test_key", + messages=[{"content": "What is the capital of Spain?"}], + metadata=metadata, + ) + + assert result is None + assert metadata["semantic-similarity"] == 0.7 + + def test_qdrant_semantic_cache_get_cache_miss(): """ Test QDRANT semantic cache get method when there's a cache miss. From bfdd786962c2ef2166255f0e70cb668cca790158 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 11:36:18 -0700 Subject: [PATCH 127/160] chore(deps): refresh dependency locks --- .../requirements.txt | 2 +- enterprise/pyproject.toml | 2 +- litellm-js/proxy/package-lock.json | 2054 +++++++++++++++++ litellm-js/proxy/package.json | 6 +- litellm-js/spend-logs/package-lock.json | 8 +- litellm-js/spend-logs/package.json | 2 +- litellm-proxy-extras/pyproject.toml | 2 +- package-lock.json | 172 +- package.json | 5 +- pyproject.toml | 16 +- tests/pass_through_tests/package-lock.json | 368 ++- tests/pass_through_tests/package.json | 9 +- .../ui_unit_tests/package-lock.json | 122 +- .../ui_unit_tests/package.json | 7 +- ui/litellm-dashboard/package-lock.json | 206 +- ui/litellm-dashboard/package.json | 15 +- ui/litellm-dashboard/tests/setupTests.ts | 71 + ui/litellm-dashboard/tsconfig.json | 2 +- uv.lock | 687 +++--- 19 files changed, 3018 insertions(+), 738 deletions(-) create mode 100644 litellm-js/proxy/package-lock.json diff --git a/cookbook/litellm-ollama-docker-image/requirements.txt b/cookbook/litellm-ollama-docker-image/requirements.txt index 815a42a679e..9b9181b2360 100644 --- a/cookbook/litellm-ollama-docker-image/requirements.txt +++ b/cookbook/litellm-ollama-docker-image/requirements.txt @@ -1 +1 @@ -litellm==1.83.5 \ No newline at end of file +litellm==1.83.14 diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml index cfbbe1f494c..b00bb2af0d7 100644 --- a/enterprise/pyproject.toml +++ b/enterprise/pyproject.toml @@ -16,7 +16,7 @@ Repository = "https://github.com/BerriAI/litellm" Documentation = "https://docs.litellm.ai" [build-system] -requires = ["uv_build==0.10.7"] +requires = ["uv_build==0.11.8"] build-backend = "uv_build" [tool.uv] diff --git a/litellm-js/proxy/package-lock.json b/litellm-js/proxy/package-lock.json new file mode 100644 index 00000000000..0d09fa1a6c4 --- /dev/null +++ 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b/litellm-js/spend-logs/package-lock.json index ce1762f4023..e9fc4b00f6a 100644 --- a/litellm-js/spend-logs/package-lock.json +++ b/litellm-js/spend-logs/package-lock.json @@ -6,7 +6,7 @@ "": { "dependencies": { "@hono/node-server": "1.19.13", - "hono": "4.12.12" + "hono": "4.12.16" }, "devDependencies": { "@types/node": "20.19.25", @@ -548,9 +548,9 @@ } }, "node_modules/hono": { - "version": "4.12.12", - "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.12.tgz", - "integrity": "sha512-p1JfQMKaceuCbpJKAPKVqyqviZdS0eUxH9v82oWo1kb9xjQ5wA6iP3FNVAPDFlz5/p7d45lO+BpSk1tuSZMF4Q==", + "version": "4.12.16", + "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.16.tgz", + "integrity": "sha512-jN0ZewiNAWSe5khM3EyCmBb250+b40wWbwNILNfEvq84VREWwOIkuUsFONk/3i3nqkz7Oe1PcpM2mwQEK2L9Kg==", "license": "MIT", "engines": { "node": ">=16.9.0" diff --git a/litellm-js/spend-logs/package.json b/litellm-js/spend-logs/package.json index d8e6a895445..5a7a95c5de1 100644 --- 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"node_modules/react-dom": { @@ -5068,19 +5041,6 @@ "node": ">=8" } }, - "node_modules/test-exclude/node_modules/minimatch": { - "version": "3.1.2", - "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz", - "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==", - "dev": true, - "license": "ISC", - "dependencies": { - "brace-expansion": "^1.1.7" - }, - "engines": { - "node": "*" - } - }, "node_modules/tmpl": { "version": "1.0.5", "resolved": "https://registry.npmjs.org/tmpl/-/tmpl-1.0.5.tgz", diff --git a/package.json b/package.json index 84e6e51f86b..be91e4170ab 100644 --- a/package.json +++ b/package.json @@ -2,7 +2,7 @@ "dependencies": { "prism-react-renderer": "2.4.1", "prisma": "5.17.0", - "react-copy-to-clipboard": "5.1.0" + "react-copy-to-clipboard": "5.1.1" }, "devDependencies": { "@testing-library/jest-dom": "6.8.0", @@ -12,7 +12,8 @@ }, "overrides": { "glob": "13.0.0", - "minimatch": "10.1.1", + "minimatch": "10.2.5", + "picomatch": "2.3.2", "@isaacs/brace-expansion": "5.0.0", "@babel/traverse": "7.28.5", "braces": "3.0.3" diff --git a/pyproject.toml b/pyproject.toml index 65b9bd2c983..48acf8d8712 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,11 +12,11 @@ authors = [ dependencies = [ "fastuuid==0.14.0", "httpx==0.28.1", - "openai==2.24.0", + "openai==2.33.0", "python-dotenv==1.2.2", "tiktoken==0.12.0", "importlib-metadata==8.5.0", - "tokenizers==0.22.2", + "tokenizers==0.23.1", "click==8.1.8", "jinja2==3.1.6", "aiohttp==3.13.4", @@ -44,11 +44,11 @@ proxy = [ "apscheduler==3.11.2", "fastapi-sso==0.19.0", "PyJWT==2.12.0", - "python-multipart==0.0.26", + "python-multipart==0.0.27", "cryptography==46.0.7", "pynacl==1.6.2", "websockets==15.0.1", - "boto3==1.42.59", + "boto3==1.43.1", "azure-identity==1.25.2", "azure-storage-blob==12.28.0", "mcp==1.26.0", @@ -120,9 +120,9 @@ dev = [ "flake8==7.3.0", "black==24.10.0", "mypy==1.19.0", - "pytest==8.3.5", + "pytest==9.0.3", "pytest-mock==3.15.1", - "pytest-asyncio==1.2.0", + "pytest-asyncio==1.3.0", "pytest-postgresql==7.0.2", # pytest-postgresql imports psycopg v3 during pytest startup. Keep the base # package and the binary wheel in the default dev environment so local @@ -191,7 +191,7 @@ ci = [ "pylint==4.0.5", "pyright==1.1.408", "langchain-mcp-adapters==0.2.1", - "langchain-openai==1.1.10", + "langchain-openai==1.1.14", "langgraph==1.0.10", # langgraph-prebuilt 1.0.9 imports ExecutionInfo/ServerInfo from # langgraph.runtime, which is not exported until langgraph 1.1.0. @@ -205,7 +205,7 @@ healthcheck = [ ] [build-system] -requires = ["uv_build==0.10.7"] +requires = ["uv_build==0.11.8"] build-backend = "uv_build" [tool.uv] diff --git a/tests/pass_through_tests/package-lock.json b/tests/pass_through_tests/package-lock.json index f1d70e37c68..8aa33340b16 100644 --- a/tests/pass_through_tests/package-lock.json +++ b/tests/pass_through_tests/package-lock.json @@ -8,8 +8,8 @@ "name": "litellm-pass-through-tests", "version": "0.0.0", "dependencies": { - "@google-cloud/vertexai": "1.9.3", - "@google/generative-ai": "0.21.0" + "@google-cloud/vertexai": "1.12.0", + "@google/generative-ai": "0.24.1" }, "devDependencies": { "jest": "29.7.0" @@ -512,21 +512,46 @@ "license": "MIT" }, "node_modules/@google-cloud/vertexai": { - 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b/ui/litellm-dashboard/package.json index 357d46b68a9..d7386c9ce5f 100644 --- a/ui/litellm-dashboard/package.json +++ b/ui/litellm-dashboard/package.json @@ -20,12 +20,12 @@ "knip:fix": "knip --fix" }, "dependencies": { - "@anthropic-ai/sdk": "0.54.0", + "@anthropic-ai/sdk": "0.92.0", "@headlessui/tailwindcss": "0.2.2", "@heroicons/react": "1.0.6", "@remixicon/react": "4.9.0", "@tanstack/react-pacer": "0.2.0", - "@tanstack/react-query": "5.90.20", + "@tanstack/react-query": "5.100.7", "@tanstack/react-table": "8.21.3", "@tremor/react": "3.18.7", "@types/papaparse": "5.5.2", @@ -35,18 +35,18 @@ "jwt-decode": "4.0.0", "lucide-react": "0.513.0", "moment": "2.30.1", - "next": "16.1.7", + "next": "16.2.4", "openai": "4.104.0", "papaparse": "5.5.3", "react": "18.3.1", - "react-copy-to-clipboard": "5.1.0", + "react-copy-to-clipboard": "5.1.1", "react-dom": "18.3.1", "react-json-view-lite": "2.5.0", "react-markdown": "9.1.0", "react-syntax-highlighter": "15.6.6", "remark-gfm": "4.0.1", 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+ if (typeof window.localStorage?.getItem === "function" && typeof window.localStorage?.clear === "function") { + return; + } + + const store = new Map(); + const storagePrototype = window.Storage.prototype; + + Object.defineProperties(storagePrototype, { + getItem: { + configurable: true, + writable: true, + value(key: string) { + const normalizedKey = String(key); + return store.has(normalizedKey) ? store.get(normalizedKey)! : null; + }, + }, + setItem: { + configurable: true, + writable: true, + value(key: string, value: string) { + store.set(String(key), String(value)); + }, + }, + removeItem: { + configurable: true, + writable: true, + value(key: string) { + store.delete(String(key)); + }, + }, + clear: { + configurable: true, + writable: true, + value() { + store.clear(); + }, + }, + key: { + configurable: true, + writable: true, + value(index: number) { + return Array.from(store.keys())[index] ?? null; + }, + }, + }); + + const localStorage = Object.create(storagePrototype); + Object.defineProperty(localStorage, "length", { + configurable: true, + get() { + return store.size; + }, + }); + + Object.defineProperty(window, "localStorage", { + configurable: true, + value: localStorage, + }); + Object.defineProperty(globalThis, "localStorage", { + configurable: true, + value: localStorage, + }); +}; + +ensureTestLocalStorage(); + // Global mock for NotificationManager to prevent React rendering issues in tests // This avoids "window is not defined" errors when notifications try to render // after test environment is torn down diff --git a/ui/litellm-dashboard/tsconfig.json b/ui/litellm-dashboard/tsconfig.json index 5b0352feb98..d24bdd340f7 100644 --- a/ui/litellm-dashboard/tsconfig.json +++ b/ui/litellm-dashboard/tsconfig.json @@ -14,7 +14,7 @@ "moduleResolution": "bundler", "resolveJsonModule": true, "isolatedModules": true, - "jsx": "preserve", + "jsx": "react-jsx", "incremental": true, "plugins": [ { diff --git a/uv.lock b/uv.lock index 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license pytest-postgresql: >=7.0.2 # LGPLv3+ license pytest-xdist: >=3.8.0 # MIT License ruff: >=0.15.3 # MIT License From 2d36596e8b650963f389dc7ff81b09f061c47255 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 11:47:32 -0700 Subject: [PATCH 129/160] fix: preserve tokenizer decode round trips --- litellm/utils.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/litellm/utils.py b/litellm/utils.py index 8c1b6452ced..ec198616f05 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -2245,10 +2245,32 @@ def encode(model="", text="", custom_tokenizer: Optional[dict] = None): def decode(model="", tokens: List[int] = [], custom_tokenizer: Optional[dict] = None): tokenizer_json = custom_tokenizer or _select_tokenizer(model=model) + if tokenizer_json["type"] == "huggingface_tokenizer": + tokens = _strip_huggingface_special_token_ids( + tokenizer_json["tokenizer"], tokens + ) dec = tokenizer_json["tokenizer"].decode(tokens) return dec +def _strip_huggingface_special_token_ids( + tokenizer: Tokenizer, tokens: List[int] +) -> List[int]: + try: + added_tokens_decoder = tokenizer.get_added_tokens_decoder() + except Exception: + return tokens + + special_token_ids = { + token_id + for token_id, added_token in added_tokens_decoder.items() + if getattr(added_token, "special", False) + } + if not special_token_ids: + return tokens + return [token for token in tokens if token not in special_token_ids] + + def create_pretrained_tokenizer( identifier: str, revision="main", auth_token: Optional[str] = None ): From 98ced0ae4371b47d6f70527be7054c18df755266 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Mon, 4 May 2026 18:58:22 +0000 Subject: [PATCH 130/160] refactor(anthropic): drive adaptive-thinking gate via supports_adaptive_thinking flag Three of greptile's open comments on #27074 (P2 converse:512, P1 databricks:361, and the underlying capability-flag policy rule) flagged the same pattern: _is_claude_4_6_model(...) or _is_claude_4_7_model(...) used inline as a runtime 'is this an adaptive-thinking model?' check. That requires a code release each time a new adaptive Claude lands. Consolidate the inline gating to AnthropicModelInfo._is_adaptive_thinking_model, and switch the helper itself to read a new supports_adaptive_thinking flag from `model_prices_and_context_window.json` via `_supports_factory`, falling back to the family pattern only when the model-map entry doesn't carry the flag (preserves OpenRouter / Vercel / Bedrock-prefixed variants that route through the same code path with non-canonical ids). Adds `supports_adaptive_thinking: true` to the four 4.6/4.7 anthropic entries (opus-4-6 + dated, opus-4-7 + dated, sonnet-4-6). Bedrock-prefixed and Vertex-prefixed entries don't need the flag because both fall back through the family pattern (the helper short-circuits early on True from either path) and the bedrock/vertex Claude IDs all match the existing opus-4-{6,7} / sonnet-4-{6,7} pattern. Affected call sites: - `bedrock/chat/converse_transformation.py:_handle_reasoning_effort_parameter` - `anthropic/chat/transformation.py:_map_reasoning_effort` - `anthropic/chat/transformation.py:map_openai_params` (output_config branch) - `databricks/chat/transformation.py:map_openai_params` (output_config branch) The remaining `_is_claude_4_6_model` / `_is_claude_4_7_model` references in `AnthropicConfig._validate_effort_for_model` and `AnthropicConfig.get_supported_openai_params` are intentionally retained: they're per-model gating fallbacks for variants whose model-map entries don't yet carry the `supports_max_reasoning_effort` / `supports_reasoning` flag. Those are documented in-place. Tests: 537 anthropic/bedrock/databricks/vertex/messages tests pass. Co-authored-by: Mateo Wang --- litellm/llms/anthropic/chat/transformation.py | 15 +++++++------ litellm/llms/anthropic/common_utils.py | 21 ++++++++++++++++++- .../bedrock/chat/converse_transformation.py | 17 ++++++++------- .../llms/databricks/chat/transformation.py | 12 ++++++----- model_prices_and_context_window.json | 5 +++++ 5 files changed, 48 insertions(+), 22 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index a971bf1e961..7f16c69481f 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -920,9 +920,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): """ if reasoning_effort is None or reasoning_effort == "none": return None - if AnthropicConfig._is_claude_4_6_model( - model - ) or AnthropicConfig._is_claude_4_7_model(model): + if AnthropicConfig._is_adaptive_thinking_model(model): return AnthropicThinkingParam( type="adaptive", ) @@ -1262,11 +1260,12 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking - # For Claude 4.6+ models, effort is controlled via output_config, - # not thinking budget_tokens. Map reasoning_effort to output_config. - if AnthropicConfig._is_claude_4_6_model( - model - ) or AnthropicConfig._is_claude_4_7_model(model): + # For Claude 4.6+ adaptive-thinking models, effort is + # controlled via ``output_config``, not + # ``thinking.budget_tokens``. Driven by + # ``supports_adaptive_thinking`` in the model map so + # adding a new adaptive Claude is a model-map-only change. + if AnthropicConfig._is_adaptive_thinking_model(model): # ``_map_reasoning_effort`` returns ``type=adaptive`` # for any string on adaptive models without checking # the value, so reject unmapped efforts here (matching diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py index b095d40156d..d711d05c687 100644 --- a/litellm/llms/anthropic/common_utils.py +++ b/litellm/llms/anthropic/common_utils.py @@ -273,7 +273,26 @@ class AnthropicModelInfo(BaseLLMModelInfo): @staticmethod def _is_adaptive_thinking_model(model: str) -> bool: - """Claude 4.6+ models use adaptive thinking with output_config effort.""" + """Claude 4.6+ models use adaptive thinking with ``output_config.effort``. + + Driven by the ``supports_adaptive_thinking`` flag in + ``model_prices_and_context_window.json`` so that adding a new + adaptive-thinking model is a pure model-map change. Falls back to + the family-pattern check for OpenRouter / Vercel / Bedrock / + provider-prefixed variants whose model-map entries don't (yet) + carry the flag. + """ + from litellm.utils import _supports_factory + + try: + if _supports_factory( + model=model, + custom_llm_provider=None, + key="supports_adaptive_thinking", + ): + return True + except Exception: + pass return AnthropicModelInfo._is_claude_4_6_model( model ) or AnthropicModelInfo._is_claude_4_7_model(model) diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index d3dff398a6e..5a0087a270e 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -478,14 +478,15 @@ class AmazonConverseConfig(BaseConfig): optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking - # Adaptive-thinking models (Claude 4.6 / 4.7) take the tier - # via output_config.effort. Mirror the mapping used by - # AnthropicConfig.map_openai_params and apply the same - # validation rules so unmapped/garbage efforts surface as a - # 400 instead of being silently flattened on the wire. - if AnthropicConfig._is_claude_4_6_model( - model - ) or AnthropicConfig._is_claude_4_7_model(model): + # Adaptive-thinking models (Claude 4.6 / 4.7+) take the + # tier via ``output_config.effort``. Mirror the mapping + # used by ``AnthropicConfig.map_openai_params`` and apply + # the same validation rules so unmapped/garbage efforts + # surface as a 400 instead of being silently flattened on + # the wire. Driven by ``supports_adaptive_thinking`` in + # ``model_prices_and_context_window.json`` so a future + # adaptive Claude release lands as a model-map change. + if AnthropicConfig._is_adaptive_thinking_model(model): # Use ``.get()`` without a fallback so unmapped efforts # (e.g. ``"disabled"``) surface as a clean 400 here # rather than leaking the raw garbage string through to diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index 34cf174c3fc..4cd3ad9e425 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -350,15 +350,17 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking - # For Claude 4.6/4.7 adaptive models, ``_map_reasoning_effort`` + # For Claude 4.6+ adaptive models, ``_map_reasoning_effort`` # returns ``type=adaptive`` for ANY non-None / non-"none" # string without validating the value, so reject unmapped # efforts here and set ``output_config.effort`` (matching the # Anthropic native / Bedrock Converse / Bedrock Invoke / - # /v1/messages paths). - if AnthropicConfig._is_claude_4_6_model( - model - ) or AnthropicConfig._is_claude_4_7_model(model): + # /v1/messages paths). Driven by ``supports_adaptive_thinking`` + # in the model map so future adaptive Claudes land via a + # model-map update rather than a code release — the + # Anthropic-native and Bedrock routes already use the same + # helper, so all three paths stay in lock-step. + if AnthropicConfig._is_adaptive_thinking_model(model): # ``reasoning_effort_value`` comes from ``non_default_params`` # so its static type is ``Any | None``. Narrow to ``str`` for # the mapping lookup; non-strings fall through to the diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 7946e2dceef..9c085c2c992 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -9228,6 +9228,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -9421,6 +9422,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -9454,6 +9456,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -9487,6 +9490,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -9521,6 +9525,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, From e96d850b842385f0b62f515470a1ae834d1e5481 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 12:09:04 -0700 Subject: [PATCH 131/160] chore(deps): address dependency review notes --- litellm/utils.py | 24 ++++++++++-- .../test_decode_special_tokens.py | 17 +++++++++ ui/litellm-dashboard/tests/setupTests.ts | 38 +++++++++++++++---- 3 files changed, 68 insertions(+), 11 deletions(-) create mode 100644 tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py diff --git a/litellm/utils.py b/litellm/utils.py index ec198616f05..0c5b694bd77 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -2243,12 +2243,30 @@ def encode(model="", text="", custom_tokenizer: Optional[dict] = None): return enc -def decode(model="", tokens: List[int] = [], custom_tokenizer: Optional[dict] = None): +def decode( + model="", + tokens: List[int] = [], + custom_tokenizer: Optional[dict] = None, + skip_special_tokens: bool = True, +): + """ + Decodes token ids using the selected tokenizer. + + Args: + skip_special_tokens: For HuggingFace tokenizers, keep the historical + LiteLLM round-trip behavior by omitting special tokens by default. + Set to False to inspect decoded BOS/EOS tokens. + """ tokenizer_json = custom_tokenizer or _select_tokenizer(model=model) if tokenizer_json["type"] == "huggingface_tokenizer": - tokens = _strip_huggingface_special_token_ids( - tokenizer_json["tokenizer"], tokens + if skip_special_tokens: + tokens = _strip_huggingface_special_token_ids( + tokenizer_json["tokenizer"], tokens + ) + dec = tokenizer_json["tokenizer"].decode( + tokens, skip_special_tokens=skip_special_tokens ) + return dec dec = tokenizer_json["tokenizer"].decode(tokens) return dec diff --git a/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py b/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py new file mode 100644 index 00000000000..f0f2b8e7f5d --- /dev/null +++ b/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py @@ -0,0 +1,17 @@ +from litellm import decode, encode + + +def test_decode_can_preserve_huggingface_special_tokens(): + sample_text = "Hello World, this is my input string!" + tokens = encode(model="meta-llama/Llama-2-7b-chat", text=sample_text) + + decoded_text = decode(model="meta-llama/Llama-2-7b-chat", tokens=tokens) + decoded_text_with_special_tokens = decode( + model="meta-llama/Llama-2-7b-chat", + tokens=tokens, + skip_special_tokens=False, + ) + + assert decoded_text == sample_text + assert sample_text in decoded_text_with_special_tokens + assert decoded_text_with_special_tokens != sample_text diff --git a/ui/litellm-dashboard/tests/setupTests.ts b/ui/litellm-dashboard/tests/setupTests.ts index 62eb16c66b6..6bc2e7775a1 100644 --- a/ui/litellm-dashboard/tests/setupTests.ts +++ b/ui/litellm-dashboard/tests/setupTests.ts @@ -12,14 +12,23 @@ const ensureTestLocalStorage = () => { return; } - const store = new Map(); + const storageStores = new WeakMap>(); const storagePrototype = window.Storage.prototype; + const getStore = (storage: Storage) => { + let store = storageStores.get(storage); + if (store === undefined) { + store = new Map(); + storageStores.set(storage, store); + } + return store; + }; Object.defineProperties(storagePrototype, { getItem: { configurable: true, writable: true, - value(key: string) { + value(this: Storage, key: string) { + const store = getStore(this); const normalizedKey = String(key); return store.has(normalizedKey) ? store.get(normalizedKey)! : null; }, @@ -27,38 +36,43 @@ const ensureTestLocalStorage = () => { setItem: { configurable: true, writable: true, - value(key: string, value: string) { + value(this: Storage, key: string, value: string) { + const store = getStore(this); store.set(String(key), String(value)); }, }, removeItem: { configurable: true, writable: true, - value(key: string) { + value(this: Storage, key: string) { + const store = getStore(this); store.delete(String(key)); }, }, clear: { configurable: true, writable: true, - value() { + value(this: Storage) { + const store = getStore(this); store.clear(); }, }, key: { configurable: true, writable: true, - value(index: number) { + value(this: Storage, index: number) { + const store = getStore(this); return Array.from(store.keys())[index] ?? null; }, }, }); const localStorage = Object.create(storagePrototype); + storageStores.set(localStorage, new Map()); Object.defineProperty(localStorage, "length", { configurable: true, get() { - return store.size; + return getStore(localStorage).size; }, }); @@ -102,7 +116,15 @@ vi.mock("@tremor/react", async (importOriginal) => { return React.createElement(React.Fragment, null, children); }, // Render as a plain checkbox so toggle interactions are testable without Tremor internals - Switch: ({ checked, onChange, className }: { checked?: boolean; onChange?: (v: boolean) => void; className?: string }) => + Switch: ({ + checked, + onChange, + className, + }: { + checked?: boolean; + onChange?: (v: boolean) => void; + className?: string; + }) => React.createElement("input", { type: "checkbox", role: "switch", From 56070b86a3ef7521457d45b4b5a75b7b7b67fd29 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Mon, 4 May 2026 19:11:45 +0000 Subject: [PATCH 132/160] test(model_prices): add supports_adaptive_thinking to schema `test_aaamodel_prices_and_context_window_json_is_valid` validates the model-map JSON against an explicit schema with `additionalProperties`, so the new `supports_adaptive_thinking` flag added in 98ced0ae43 needs a matching schema entry. Co-authored-by: Mateo Wang --- tests/test_litellm/test_utils.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py index f28fe3ed258..7e840cc7ad0 100644 --- a/tests/test_litellm/test_utils.py +++ b/tests/test_litellm/test_utils.py @@ -852,6 +852,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid(): "supports_none_reasoning_effort": {"type": "boolean"}, "supports_xhigh_reasoning_effort": {"type": "boolean"}, "supports_max_reasoning_effort": {"type": "boolean"}, + "supports_adaptive_thinking": {"type": "boolean"}, "supports_service_tier": {"type": "boolean"}, "supports_preset": {"type": "boolean"}, "tool_use_system_prompt_tokens": {"type": "number"}, From 2cb3f0f027e866498e990f53b5e4a6197b3b7667 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Mon, 4 May 2026 19:34:56 +0000 Subject: [PATCH 133/160] refactor: remove unnecessary comments from #27074 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Strip out the explanatory and historical comments that don't carry business-logic justification. Comments that simply narrate what code does — or that explain prior behavior, what was changed, or which PR introduced a fix — are removed. Docstrings are reduced to a one-line summary where the long form repeated information already evident from the code or test data. No code-behavior changes. All 643 affected unit tests still pass. Co-authored-by: Mateo Wang --- litellm/constants.py | 20 +--- litellm/llms/anthropic/chat/transformation.py | 107 +----------------- litellm/llms/anthropic/common_utils.py | 10 +- .../messages/transformation.py | 37 +----- .../llms/azure_ai/anthropic/transformation.py | 33 +----- litellm/llms/base_llm/chat/transformation.py | 6 - .../bedrock/chat/converse_transformation.py | 101 ++--------------- .../anthropic_claude3_transformation.py | 5 - .../anthropic_claude3_transformation.py | 4 - .../llms/databricks/chat/transformation.py | 19 ---- .../transformation.py | 5 - .../anthropic/output_params_utils.py | 7 +- .../anthropic/transformation.py | 4 - litellm/llms/xai/chat/transformation.py | 24 +--- litellm/llms/xai/cost_calculator.py | 11 +- litellm/types/llms/anthropic.py | 6 - litellm/types/llms/bedrock.py | 8 -- .../llms/anthropic/chat/conftest.py | 43 +------ .../test_anthropic_chat_transformation.py | 93 +++------------ .../test_reasoning_effort_translation.py | 50 +------- .../test_azure_anthropic_transformation.py | 36 ++---- ...ations_anthropic_claude3_transformation.py | 14 +-- .../chat/test_converse_transformation.py | 29 +---- .../test_anthropic_claude3_transformation.py | 92 ++------------- ...partner_models_anthropic_transformation.py | 28 +---- .../llms/xai/test_xai_chat_transformation.py | 14 +-- .../llms/xai/test_xai_cost_calculator.py | 19 +--- tests/test_litellm/test_utils.py | 6 +- 28 files changed, 92 insertions(+), 739 deletions(-) diff --git a/litellm/constants.py b/litellm/constants.py index 7708ba8b69a..6918e40cad1 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -202,17 +202,6 @@ DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET = int( DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET = int( os.getenv("DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET", 4096) ) -# ``xhigh`` / ``max`` budget extrapolation for legacy ``thinking.budget_tokens`` -# models (Claude 4.5 series + haiku). Continues the 2× progression -# 1024 → 2048 → 4096 from the existing low/medium/high tiers. These tiers -# also exist as adaptive ``output_config.effort`` enum values on Claude 4.6+ -# / 4.7; this constant only governs the budget-tokens fallback for models -# that aren't on the adaptive path. Per -# https://platform.claude.com/docs/en/build-with-claude/effort the ``effort`` -# enum is gated by model, but the legacy ``budget_tokens`` knob accepts any -# integer up to the model's max_tokens — adopting #27051's mapping here lets -# ``reasoning_effort=xhigh|max`` Just Work as a unified OpenAI-format knob -# regardless of which Anthropic API surface implements it. DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET = int( os.getenv("DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET", 8192) ) @@ -416,14 +405,7 @@ BEDROCK_MAX_POLICY_SIZE = int(os.getenv("BEDROCK_MAX_POLICY_SIZE", 75)) BEDROCK_MIN_THINKING_BUDGET_TOKENS = int( os.getenv("BEDROCK_MIN_THINKING_BUDGET_TOKENS", 1024) ) -# Anthropic's Messages API rejects ``thinking.budget_tokens < 1024`` with a -# 400. ``reasoning_effort='minimal'`` historically mapped to 128 (the global -# default) which always 400'd against direct Anthropic, Azure AI Anthropic, -# Vertex AI Anthropic, and Bedrock Invoke. Floor at the provider minimum so -# ``minimal`` is a usable tier on every Anthropic-backed route; Bedrock -# Converse already clamps server-side, this just unifies the behavior. -# Constant — not env-overridable — because it tracks Anthropic's published -# wire-protocol minimum, not a tunable. +# Anthropic's Messages API rejects thinking.budget_tokens < 1024. ANTHROPIC_MIN_THINKING_BUDGET_TOKENS = 1024 REPLICATE_POLLING_DELAY_SECONDS = float( os.getenv("REPLICATE_POLLING_DELAY_SECONDS", 0.5) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 7f16c69481f..6e76a9c85e9 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -224,11 +224,8 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): def _supports_effort_level(model: str, level: str) -> bool: """Check ``supports_{level}_reasoning_effort`` in the model map. - Mirrors the pattern used in ``openai/chat/gpt_5_transformation.py`` so - that adding support for a new effort level is a pure model-map change. - Handles bedrock-prefixed and vertex-prefixed model ids by stripping - the prefix and re-checking against ``litellm.model_cost`` directly, - so a Bedrock-routed Claude 4.6/4.7 keeps its model-map flag. + Strips bedrock/vertex prefixes so a provider-routed Claude still + resolves to the Anthropic model-map entry. """ key = f"supports_{level}_reasoning_effort" try: @@ -240,11 +237,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): return True except Exception: pass - # Bedrock and Vertex route the model id with a provider-prefix - # (e.g. ``bedrock/invoke/us.anthropic.claude-opus-4-7``). Strip - # known prefixes and look the resulting Anthropic-flavoured key - # up directly in ``litellm.model_cost`` so the lookup keeps - # working regardless of which route the request arrived on. candidates = [model] for prefix in ( "bedrock/converse/", @@ -277,27 +269,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): @staticmethod def _validate_effort_for_model(model: str, effort: Optional[str]) -> Optional[str]: - """Return ``None`` if ``effort`` is allowed on ``model``, else an error message. - - Centralises per-model gating for ``max`` and ``xhigh`` so the chat - completion path (``_apply_output_config``) and the /v1/messages - pass-through (``AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic``) - can't drift when a new model tier is added. Caller raises the - provider-appropriate exception type using the returned message. - - ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7 - adaptive-thinking models per - https://platform.claude.com/docs/en/build-with-claude/effort. The - data-driven ``supports_max_reasoning_effort`` flag in - ``model_prices_and_context_window.json`` is the source of truth; - family-level ``_is_claude_4_6_model`` / ``_is_claude_4_7_model`` - checks remain as a fallback for OpenRouter / GitHub Copilot / - Vercel / Bedrock variants whose model-map entries don't yet carry - the flag. - - ``xhigh`` is purely data-driven via ``supports_xhigh_reasoning_effort`` - so enabling it for a new model is a model-map-only change. - """ + """Return ``None`` if ``effort`` is allowed on ``model``, else an error message.""" if effort == "max" and not ( AnthropicConfig._is_claude_4_6_model(model) or AnthropicConfig._is_claude_4_7_model(model) @@ -312,15 +284,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): @staticmethod def _model_supports_effort_param(model: str) -> bool: - """Whether the model accepts ``output_config.effort`` at all. - - Per https://platform.claude.com/docs/en/build-with-claude/effort the - ``output_config.effort`` parameter is supported on Opus 4.5+, Sonnet 4.6+ - and Mythos Preview; older Claude models reject it with a 400. Support is - encoded in ``model_prices_and_context_window.json`` via the - ``supports_*_reasoning_effort`` flags, so adding a new effort-capable - model is a pure model-map change. - """ + """Whether the model accepts ``output_config.effort`` at all.""" for level in ("low", "minimal", "medium", "high", "xhigh", "max"): if AnthropicConfig._supports_effort_level(model, level): return True @@ -908,16 +872,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): model: str, llm_provider: str = "anthropic", ) -> Optional[AnthropicThinkingParam]: - """Map an OpenAI-format ``reasoning_effort`` string to Anthropic's - ``thinking`` payload. - - Raises ``BadRequestError`` (clean 400) instead of ``ValueError`` (500) - on unmapped efforts so every caller — Anthropic native, Bedrock - Invoke/Converse, Databricks, Vertex Anthropic, Azure AI Anthropic, - and the experimental ``/v1/messages`` pass-through — surfaces a - consistent error to the user. Pass ``llm_provider`` so the - ``BadRequestError`` carries the right provider name in logs. - """ if reasoning_effort is None or reasoning_effort == "none": return None if AnthropicConfig._is_adaptive_thinking_model(model): @@ -940,32 +894,16 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET, ) elif reasoning_effort == "xhigh": - # Continues the 2× progression of low/medium/high (1024/2048/4096). - # On adaptive models (Claude 4.6/4.7) the ``xhigh`` tier is - # already routed via ``output_config.effort=xhigh`` above; this - # branch only applies to budget-mode models (Claude 4.5 series + - # haiku) where the OpenAI-format ``reasoning_effort`` knob would - # otherwise 400 with ``Unmapped reasoning effort``. Keeps the - # cross-model UX uniform — ``reasoning_effort=xhigh`` Just Works - # regardless of which Anthropic API surface implements it. return AnthropicThinkingParam( type="enabled", budget_tokens=DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET, ) elif reasoning_effort == "max": - # Same rationale as ``xhigh`` above — ``max`` is the adaptive - # enum's top tier on Claude 4.6/4.7, but for budget-mode models - # we extend the 2× progression (8192 → 16384) so the OpenAI- - # format alias is usable on every Claude model. return AnthropicThinkingParam( type="enabled", budget_tokens=DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET, ) elif reasoning_effort == "minimal": - # Anthropic Messages API rejects ``budget_tokens < 1024`` with a - # 400. Floor at the provider minimum so ``minimal`` is a usable - # tier on Anthropic / Azure AI Anthropic / Vertex AI Anthropic / - # Bedrock Invoke. Bedrock Converse already clamps server-side. return AnthropicThinkingParam( type="enabled", budget_tokens=max( @@ -1246,10 +1184,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): elif param == "thinking": optional_params["thinking"] = value elif param == "reasoning_effort" and isinstance(value, str): - # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) - # directly on unmapped efforts (``disabled`` / ``invalid`` / - # ``""`` / ``xhigh``/``max`` on budget-mode Claude 4.5) so - # we no longer need to wrap a ``ValueError`` here. mapped_thinking = AnthropicConfig._map_reasoning_effort( reasoning_effort=value, model=model, @@ -1260,20 +1194,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking - # For Claude 4.6+ adaptive-thinking models, effort is - # controlled via ``output_config``, not - # ``thinking.budget_tokens``. Driven by - # ``supports_adaptive_thinking`` in the model map so - # adding a new adaptive Claude is a model-map-only change. if AnthropicConfig._is_adaptive_thinking_model(model): - # ``_map_reasoning_effort`` returns ``type=adaptive`` - # for any string on adaptive models without checking - # the value, so reject unmapped efforts here (matching - # the /v1/messages path) instead of relying on the - # downstream ``_apply_output_config`` check. Co-locating - # validation with the mapping prevents garbage from - # leaking into ``optional_params`` if ``map_openai_params`` - # is ever called without a subsequent ``transform_request``. mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( value ) @@ -1703,22 +1624,12 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): def _apply_output_config( self, data: dict, model: str, optional_params: dict ) -> None: - """Validate and apply output_config to the request data. - - Validation errors raise ``BadRequestError`` (clean 400) so callers - passing ``effort="disabled"`` / ``effort=""`` / unsupported tiers - for the model see a client-side error rather than a 500. - """ + """Validate and apply output_config to the request data.""" if "output_config" not in optional_params: return output_config = optional_params.get("output_config") if not output_config or not isinstance(output_config, dict): return - # When ``drop_params`` is set, strip ``output_config`` for models that - # cannot accept it (e.g. proxy fronting Claude Code at haiku-3, where - # the client always sends effort but the model rejects it). The user - # opted into silent fixup via the global flag — log a warning so the - # strip is still visible in logs. if litellm.drop_params is True and not self._model_supports_effort_param(model): litellm.verbose_logger.warning( "Dropping unsupported `output_config` for model=%s " @@ -1730,10 +1641,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): data.pop("output_config", None) return effort = output_config.get("effort") - # ``effort=""`` (empty string) and unmapped strings should be treated - # as invalid, not silently passed through. We use ``effort is not None`` - # here so empty string fails the membership check below. (The legacy - # ``if effort and ...`` short-circuit silently accepted ``""``.) valid_efforts = ["high", "medium", "low", "xhigh", "max"] if effort is not None and effort not in valid_efforts: raise litellm.exceptions.BadRequestError( @@ -1744,10 +1651,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): model=model, llm_provider=self.custom_llm_provider or "anthropic", ) - # Per-model gating for ``max`` / ``xhigh`` is centralised in - # ``_validate_effort_for_model`` so the chat path and the - # /v1/messages pass-through stay in lock-step when a new model - # tier lands. gate_error = self._validate_effort_for_model(model, effort) if gate_error is not None: raise litellm.exceptions.BadRequestError( diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py index d711d05c687..869a7c5fbc4 100644 --- a/litellm/llms/anthropic/common_utils.py +++ b/litellm/llms/anthropic/common_utils.py @@ -273,15 +273,7 @@ class AnthropicModelInfo(BaseLLMModelInfo): @staticmethod def _is_adaptive_thinking_model(model: str) -> bool: - """Claude 4.6+ models use adaptive thinking with ``output_config.effort``. - - Driven by the ``supports_adaptive_thinking`` flag in - ``model_prices_and_context_window.json`` so that adding a new - adaptive-thinking model is a pure model-map change. Falls back to - the family-pattern check for OpenRouter / Vercel / Bedrock / - provider-prefixed variants whose model-map entries don't (yet) - carry the flag. - """ + """Claude 4.6+ models use adaptive thinking with ``output_config.effort``.""" from litellm.utils import _supports_factory try: diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py index 8f35e79f568..35495d59610 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py @@ -47,9 +47,6 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): "inference_geo", "speed", "output_config", - # OpenAI-style tier knob — translated to native ``thinking`` + - # ``output_config`` in ``transform_anthropic_messages_request`` - # and popped before the request is forwarded. "reasoning_effort", # TODO: Add Anthropic `metadata` support # "metadata", @@ -176,22 +173,10 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): ) -> None: """Map OpenAI-style ``reasoning_effort`` to native Anthropic params. - The /v1/messages spec doesn't include ``reasoning_effort`` — without - this translation it gets silently dropped, leaving every adaptive - tier collapsed to the same behavior on Bedrock Invoke /v1/messages - (and on Anthropic / Azure AI / Vertex AI when callers pass it on - the messages route). Mirrors ``AnthropicConfig.map_openai_params`` - on the chat completion path so the two routes can't drift. - - - Pops ``reasoning_effort`` from ``optional_params`` so it never - reaches the wire. - - Caller-supplied ``thinking`` / ``output_config`` always win — we - don't override an explicit native value. - - Effort=``none`` clears thinking + output_config so callers can - opt out per request. - - Invalid efforts raise ``BadRequestError`` (clean 400) instead of - surfacing as 500s downstream. + Caller-supplied ``thinking`` / ``output_config`` win over the alias. + ``effort='none'`` clears both. Invalid efforts raise a 400. """ + from litellm.exceptions import BadRequestError as _BadRequestError from litellm.llms.anthropic.chat.transformation import ( REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT, AnthropicConfig, @@ -201,12 +186,6 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): if not isinstance(reasoning_effort, str): return - # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) directly - # on unmapped efforts. The /v1/messages pass-through surfaces errors - # as ``AnthropicError``; convert here so callers see a provider-shaped - # 400 rather than the LiteLLM-shaped one. - from litellm.exceptions import BadRequestError as _BadRequestError - try: mapped_thinking = AnthropicConfig._map_reasoning_effort( reasoning_effort=reasoning_effort, model=model @@ -224,12 +203,6 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( reasoning_effort ) - # ``_map_reasoning_effort`` returns ``type=adaptive`` for any - # string on adaptive models without checking the value. The - # chat completion path validates the resolved effort downstream - # via ``_apply_output_config``; /v1/messages has no equivalent - # downstream check, so reject unmapped values here so callers - # see a clean 400 instead of a 500 from the provider. if mapped_effort is None: raise AnthropicError( message=( @@ -239,10 +212,6 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): ), status_code=400, ) - # Per-model gating for ``max`` / ``xhigh`` is centralised in - # ``AnthropicConfig._validate_effort_for_model`` so the chat - # completion path and this /v1/messages pass-through stay in - # lock-step when a new model tier lands. gate_error = AnthropicConfig._validate_effort_for_model( model, mapped_effort ) diff --git a/litellm/llms/azure_ai/anthropic/transformation.py b/litellm/llms/azure_ai/anthropic/transformation.py index f3bd6012ec5..e176a4d860e 100644 --- a/litellm/llms/azure_ai/anthropic/transformation.py +++ b/litellm/llms/azure_ai/anthropic/transformation.py @@ -15,21 +15,11 @@ if TYPE_CHECKING: def _promote_extra_body_to_optional_params(optional_params: dict) -> None: """Promote anthropic-native passthrough keys out of ``extra_body``. - ``azure_ai`` is registered in ``litellm.openai_compatible_providers``, so - ``add_provider_specific_params_to_optional_params`` (litellm/utils.py) - auto-stuffs any non-OpenAI kwarg (e.g. ``output_config={"effort": "..."}``) - into ``optional_params["extra_body"]``. For the Azure→Anthropic route the - user's intent is to forward those params to Anthropic, so promote them to - the top level of ``optional_params`` so: - - * ``AnthropicConfig._apply_output_config`` validates ``effort`` values - (matching the native ``anthropic`` provider's 400 on bad efforts). - * Valid passthroughs (e.g. ``output_config``, ``thinking``) actually - reach the request body instead of being silently dropped by the - ``data.pop("extra_body", None)`` strip below. - - ``setdefault`` is used so an explicit top-level value is never clobbered - by a duplicate inside ``extra_body``. + ``azure_ai`` is an OpenAI-compatible provider, so non-OpenAI kwargs like + ``output_config`` get auto-routed into ``extra_body`` by + ``add_provider_specific_params_to_optional_params``. For the Azure→Anthropic + route those keys must reach the request body and be validated, so promote + them. ``setdefault`` keeps explicit top-level values authoritative. """ extra_body = optional_params.get("extra_body") if not isinstance(extra_body, dict) or not extra_body: @@ -66,9 +56,6 @@ class AzureAnthropicConfig(AnthropicConfig): 1. API key via 'api-key' header 2. Azure AD token via 'Authorization: Bearer ' header """ - # Promote anthropic-native passthrough keys (``output_config``, - # ``thinking``, ``mcp_servers``, ...) out of ``extra_body`` so the - # flag detection below (``is_mcp_server_used``, etc.) sees them. _promote_extra_body_to_optional_params(optional_params) # Convert dict to GenericLiteLLMParams if needed @@ -133,18 +120,8 @@ class AzureAnthropicConfig(AnthropicConfig): Transform request using parent AnthropicConfig, then remove unsupported params. Azure Anthropic doesn't support extra_body, max_retries, or stream_options parameters. """ - # Promote anthropic-native passthrough keys (``output_config``, - # ``thinking``, ...) out of ``extra_body`` BEFORE delegating to - # ``AnthropicConfig.transform_request``. Without this: - # * ``output_config`` is silently dropped by the ``extra_body`` pop - # below, and - # * ``_apply_output_config`` never validates ``effort`` values, so - # ``effort="invalid"`` quietly reaches the model with default - # behavior instead of returning a clean 400 (as the native - # ``anthropic`` provider does). _promote_extra_body_to_optional_params(optional_params) - # Call parent transform_request data = super().transform_request( model=model, messages=messages, diff --git a/litellm/llms/base_llm/chat/transformation.py b/litellm/llms/base_llm/chat/transformation.py index e36ba0c14a1..bec25916c4b 100644 --- a/litellm/llms/base_llm/chat/transformation.py +++ b/litellm/llms/base_llm/chat/transformation.py @@ -84,12 +84,6 @@ class BaseConfig(ABC): @classmethod def get_config(cls): - # Subclasses lean on this to surface their public default settings - # (e.g. ``max_tokens``) as request params. Anything ``_``-prefixed is - # treated as private (lookup tables, ABC machinery, internal flags) - # and must not leak into the wire body — a tuple/dict/frozenset class - # attribute would otherwise serialise into the request as an extra - # top-level key and the provider would 400 it. return { k: v for k, v in cls.__dict__.items() diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 5a0087a270e..dbd55e957fd 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -189,8 +189,6 @@ class AmazonConverseConfig(BaseConfig): @classmethod def get_config(cls): - # ``_``-prefixed names are private (lookup tables, ABC machinery, - # internal flags) and must not leak into the wire body. return { k: v for k, v in cls.__dict__.items() @@ -415,59 +413,19 @@ class AmazonConverseConfig(BaseConfig): """ Handle the reasoning_effort parameter based on the model type. - Different model families handle reasoning effort differently: - - GPT-OSS models: Keep reasoning_effort as-is (passed to additionalModelRequestFields) - - Nova 2 models: Transform to reasoningConfig structure - - Other models (Anthropic, etc.): Convert to thinking parameter - - For Claude 4.6 / 4.7 (adaptive thinking) the tier is carried via - ``output_config.effort`` rather than ``thinking.budget_tokens``. We - validate the effort with the same rules ``AnthropicConfig._apply_output_config`` - uses (low/medium/high/xhigh/max + per-model gating) and stage the - validated dict on ``optional_params["output_config"]`` so it rides - along to ``additionalModelRequestFields`` on the Anthropic-on-Bedrock - wire path. Without this the silent strip in ``_prepare_request_params`` - collapsed every adaptive tier to identical behavior. - - Args: - model: The model identifier - reasoning_effort: The reasoning effort value - optional_params: Dictionary of optional parameters to update in-place - - Examples: - >>> config = AmazonConverseConfig() - >>> params = {} - >>> config._handle_reasoning_effort_parameter("gpt-oss-model", "high", params) - >>> params - {'reasoning_effort': 'high'} - - >>> params = {} - >>> config._handle_reasoning_effort_parameter("amazon.nova-2-lite-v1:0", "high", params) - >>> params - {'reasoningConfig': {'type': 'enabled', 'maxReasoningEffort': 'high'}} - - >>> params = {} - >>> config._handle_reasoning_effort_parameter("anthropic.claude-3", "high", params) - >>> params - {'thinking': {'type': 'enabled', 'budget_tokens': 10000}} + - GPT-OSS models: passed through unchanged via additionalModelRequestFields. + - Nova 2 models: transformed to reasoningConfig. + - Anthropic models: mapped to ``thinking`` (and ``output_config.effort`` on + adaptive Claude 4.6 / 4.7). """ if "gpt-oss" in model: - # GPT-OSS models: keep reasoning_effort as-is - # It will be passed through to additionalModelRequestFields optional_params["reasoning_effort"] = reasoning_effort elif self._is_nova_2_model(model): - # Nova 2 models: transform to reasoningConfig reasoning_config = self._transform_reasoning_effort_to_reasoning_config( reasoning_effort ) optional_params.update(reasoning_config) else: - # Anthropic and other models: convert to thinking parameter. - # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) - # directly on unmapped efforts (``disabled`` / ``invalid`` / - # ``""`` / ``xhigh``/``max`` on budget-mode Claude 4.5); pass - # ``llm_provider="bedrock_converse"`` so the error carries the - # right provider name. mapped_thinking = AnthropicConfig._map_reasoning_effort( reasoning_effort=reasoning_effort, model=model, @@ -478,22 +436,7 @@ class AmazonConverseConfig(BaseConfig): optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking - # Adaptive-thinking models (Claude 4.6 / 4.7+) take the - # tier via ``output_config.effort``. Mirror the mapping - # used by ``AnthropicConfig.map_openai_params`` and apply - # the same validation rules so unmapped/garbage efforts - # surface as a 400 instead of being silently flattened on - # the wire. Driven by ``supports_adaptive_thinking`` in - # ``model_prices_and_context_window.json`` so a future - # adaptive Claude release lands as a model-map change. if AnthropicConfig._is_adaptive_thinking_model(model): - # Use ``.get()`` without a fallback so unmapped efforts - # (e.g. ``"disabled"``) surface as a clean 400 here - # rather than leaking the raw garbage string through to - # ``_validate_anthropic_adaptive_effort`` (which does - # catch it, but only because validation happens to run). - # Matches the /v1/messages pattern where validation is - # co-located with the mapping. mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( reasoning_effort ) @@ -514,16 +457,7 @@ class AmazonConverseConfig(BaseConfig): @staticmethod def _validate_anthropic_adaptive_effort(model: str, effort: str) -> None: - """Validate ``output_config.effort`` for adaptive-thinking Claude 4.6/4.7 - on Bedrock. Raises ``BadRequestError`` (clean 400) instead of letting - a downstream ``ValueError`` surface as 500. - - Per-model gating for ``max``/``xhigh`` is delegated to - ``AnthropicConfig._validate_effort_for_model`` so the Bedrock Converse - path and the Anthropic chat / ``/v1/messages`` paths can't drift when - a new gated effort tier is added. ``_supports_effort_level`` on - ``AnthropicConfig`` already handles Bedrock-prefixed model ids. - """ + """Validate ``output_config.effort`` for adaptive-thinking Claude 4.6/4.7.""" valid_efforts = {"high", "medium", "low", "xhigh", "max"} if effort not in valid_efforts: raise litellm.exceptions.BadRequestError( @@ -1283,13 +1217,9 @@ class AmazonConverseConfig(BaseConfig): ) inference_params.pop("json_mode", None) # used for handling json_schema - # Anthropic-only ``output_config`` (snake_case) is the adaptive- - # thinking effort payload (e.g. ``{"effort": "max"}``) for Claude - # 4.6/4.7. On Bedrock Converse it must ride along inside - # ``additionalModelRequestFields`` so the model actually sees the - # tier; stripping it (the prior behavior) silently flattened every - # adaptive tier to identical thinking. Only the Bedrock-native - # ``outputConfig`` (camelCase) goes at the top level. + # Anthropic-only ``output_config`` (snake_case) — re-attached to + # ``additionalModelRequestFields`` for Anthropic models below. The + # Bedrock-native ``outputConfig`` (camelCase) is handled separately. anthropic_output_config = inference_params.pop("output_config", None) # Extract requestMetadata before processing other parameters @@ -1342,18 +1272,11 @@ class AmazonConverseConfig(BaseConfig): additional_request_params ) - # Re-attach the Anthropic ``output_config`` (e.g. adaptive thinking - # ``{"effort": "max"}``) onto additional_request_params for Anthropic - # Bedrock models so the wire request carries the requested tier. Other - # model families (Nova, GPT-OSS, ...) don't accept it; drop it for them. if anthropic_output_config is not None and isinstance( anthropic_output_config, dict ): base_model = BedrockModelInfo.get_base_model(model) if base_model.startswith("anthropic"): - # When ``drop_params`` is set, strip for models that don't - # accept effort (e.g. proxy routing Claude Code at haiku-3). - # Otherwise forward and let Bedrock surface the model's error. if ( litellm.drop_params is True and not AnthropicConfig._model_supports_effort_param(model) @@ -1495,12 +1418,8 @@ class AmazonConverseConfig(BaseConfig): # Append pre-formatted tools (systemTool etc.) after transformation bedrock_tools.extend(pre_formatted_tools) - # Auto-attach the effort beta header for non-adaptive Anthropic - # models on Bedrock Converse (i.e. Opus 4.5). Claude 4.6/4.7 accept - # ``output_config.effort`` as a stable, GA feature with no beta - # header; Opus 4.5 still gates it behind ``effort-2025-11-24``. The - # check mirrors ``AnthropicModelInfo.is_effort_used`` (which returns - # False for adaptive models) so we don't double-flag adaptive routes. + # Opus 4.5 gates ``output_config.effort`` behind a beta header; + # Claude 4.6/4.7 accept it without one. base_model = BedrockModelInfo.get_base_model(model) if base_model.startswith("anthropic"): output_config = additional_request_params.get("output_config") diff --git a/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py index 7de05c977ca..c883ab68dff 100644 --- a/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py @@ -169,11 +169,6 @@ class AmazonAnthropicClaudeConfig(AmazonInvokeConfig, AnthropicConfig): anthropic_request.pop("model", None) anthropic_request.pop("stream", None) anthropic_request.pop("output_format", None) - # ``output_config`` (e.g. ``{"effort": "max"}``) is the adaptive-thinking - # tier payload for Claude 4.6 / 4.7. Bedrock Invoke accepts it for - # those models — stripping it (the prior behavior) silently flattened - # every adaptive tier on this route. Forward it; if the model rejects - # it the surfaced error is correct, vs. swallowing the user's knob. if "anthropic_version" not in anthropic_request: anthropic_request["anthropic_version"] = self.anthropic_version diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py index a717dfb78ba..a44d5b0ba96 100644 --- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py @@ -582,10 +582,6 @@ class AmazonAnthropicClaudeMessagesConfig( if filtered_betas: anthropic_messages_request["anthropic_beta"] = filtered_betas - # 6a. When ``drop_params`` is set, strip ``output_config`` for models - # that don't accept it (e.g. proxy fronting Claude Code at haiku-3). - # Without this, every Claude Code request to a pre-4.5 Anthropic model - # routes a forced 400 from Bedrock that the client can't fix. if ( litellm.drop_params is True and "output_config" in anthropic_messages_request diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index 4cd3ad9e425..fedb3d1165b 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -334,11 +334,6 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): ) # unsupported for claude models - if json_schema -> convert to tool call if "reasoning_effort" in non_default_params and "claude" in model: - # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) - # directly on unmapped efforts; pass ``llm_provider="databricks"`` - # so the surfaced error carries the correct provider name (the - # default is ``"anthropic"``, which would mislead users routing - # via Databricks Foundation Model APIs). reasoning_effort_value = non_default_params.get("reasoning_effort") mapped_thinking = AnthropicConfig._map_reasoning_effort( reasoning_effort=reasoning_effort_value, @@ -350,21 +345,7 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): optional_params.pop("output_config", None) else: optional_params["thinking"] = mapped_thinking - # For Claude 4.6+ adaptive models, ``_map_reasoning_effort`` - # returns ``type=adaptive`` for ANY non-None / non-"none" - # string without validating the value, so reject unmapped - # efforts here and set ``output_config.effort`` (matching the - # Anthropic native / Bedrock Converse / Bedrock Invoke / - # /v1/messages paths). Driven by ``supports_adaptive_thinking`` - # in the model map so future adaptive Claudes land via a - # model-map update rather than a code release — the - # Anthropic-native and Bedrock routes already use the same - # helper, so all three paths stay in lock-step. if AnthropicConfig._is_adaptive_thinking_model(model): - # ``reasoning_effort_value`` comes from ``non_default_params`` - # so its static type is ``Any | None``. Narrow to ``str`` for - # the mapping lookup; non-strings fall through to the - # ``BadRequestError`` below with a clean validation message. mapped_effort: Optional[str] = None if isinstance(reasoning_effort_value, str): mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get( diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py index 714877457fc..4be4c2d5e78 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py @@ -159,11 +159,6 @@ class VertexAIPartnerModelsAnthropicMessagesConfig(AnthropicMessagesConfig, Vert "model", None ) # do not pass model in request body to vertex ai - # Vertex AI Claude accepts ``output_config.format`` (structured outputs), - # ``output_format``, and ``output_config.effort`` (adaptive-thinking - # tier on Claude 4.6 / 4.7, verified end-to-end). The shared sanitize - # helper now no-ops for ``effort`` and remains the single hook for any - # future Vertex-only key drift. sanitize_vertex_anthropic_output_params(anthropic_messages_request) return anthropic_messages_request diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py index 891c8e4d058..a33ad677789 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py @@ -11,11 +11,8 @@ keeps the parent module's import surface narrow. """ # Keys inside ``output_config`` that Vertex AI Claude does not accept. -# Vertex now accepts ``output_config.effort`` for the adaptive-thinking -# Claude 4.6 / 4.7 models on direct ``:rawPredict`` (verified end-to-end -# against ``us-east5`` for ``opus-4-6`` and ``global`` for ``opus-4-7``). -# Keep this set narrow and only add a key here once a 400 "Extra inputs are -# not permitted" is reproducible against the live Vertex endpoint. +# Add an entry only when a 400 "Extra inputs are not permitted" is +# reproducible against the live Vertex endpoint. VERTEX_UNSUPPORTED_OUTPUT_CONFIG_KEYS: frozenset = frozenset() diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py index 48920402e26..4627d9f6df3 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py @@ -106,10 +106,6 @@ class VertexAIAnthropicConfig(AnthropicConfig): data.pop("model", None) # vertex anthropic doesn't accept 'model' parameter - # Sanitize ``output_config`` / ``output_format`` for Vertex parity. - # Vertex now accepts ``output_config.effort`` for adaptive-thinking Claude - # 4.6 / 4.7 models, so the helper is a no-op for ``effort``; it remains - # the single hook for future Vertex-only sanitization. sanitize_vertex_anthropic_output_params(data) tools = optional_params.get("tools") diff --git a/litellm/llms/xai/chat/transformation.py b/litellm/llms/xai/chat/transformation.py index b1c0aaccf1d..6300868a641 100644 --- a/litellm/llms/xai/chat/transformation.py +++ b/litellm/llms/xai/chat/transformation.py @@ -224,12 +224,6 @@ class XAIChatConfig(OpenAIGPTConfig): except Exception as e: verbose_logger.debug(f"Error extracting X.AI web search usage: {e}") - # X.AI excludes reasoning_tokens from completion_tokens, breaking the - # OpenAI invariant total_tokens == prompt_tokens + completion_tokens. - # OpenAI o1/o3 fold reasoning into completion_tokens; align X.AI to - # match so downstream consumers (including litellm's own usage tests) - # see a self-consistent Usage object. Cost calc already accounts for - # reasoning tokens separately in xai.cost_calculator. self._fold_reasoning_tokens_into_completion(response) return response @@ -237,15 +231,10 @@ class XAIChatConfig(OpenAIGPTConfig): def _fold_reasoning_tokens_into_completion(model_response: ModelResponse) -> None: """Reconcile xAI Usage to the OpenAI invariant. - xAI returns ``completion_tokens`` covering only visible output and - accounts ``reasoning_tokens`` separately, while still rolling them - into ``total_tokens``. OpenAI's published contract (o1/o3) includes - reasoning in ``completion_tokens``. Tests that assert - ``total_tokens == prompt_tokens + completion_tokens`` (e.g. - ``_usage_format_tests``) fail on the raw xAI shape. - - This helper is idempotent: if ``completion_tokens`` already covers - the gap, no change is made. + xAI accounts ``reasoning_tokens`` separately from + ``completion_tokens`` while still summing them into ``total_tokens``. + OpenAI's contract (o1/o3) folds reasoning into ``completion_tokens``, + so fold here to keep ``total = prompt + completion``. Idempotent. """ usage = getattr(model_response, "usage", None) if usage is None: @@ -262,13 +251,10 @@ class XAIChatConfig(OpenAIGPTConfig): completion_tokens = int(getattr(usage, "completion_tokens", 0) or 0) total_tokens = int(getattr(usage, "total_tokens", 0) or 0) - # Already consistent — nothing to do. if total_tokens == prompt_tokens + completion_tokens: return - # Only fold when xAI's accounting (total = prompt + completion + - # reasoning) explains the gap. This guards against double-counting - # if xAI ever changes their semantics. + # Guard against double-counting if xAI changes accounting. if total_tokens != prompt_tokens + completion_tokens + reasoning_tokens: return diff --git a/litellm/llms/xai/cost_calculator.py b/litellm/llms/xai/cost_calculator.py index df5a7beffa3..8edfd0c27ad 100644 --- a/litellm/llms/xai/cost_calculator.py +++ b/litellm/llms/xai/cost_calculator.py @@ -25,13 +25,10 @@ def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]: Returns: Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd """ - # XAI-specific completion cost calculation - # For XAI models, completion is billed as (visible completion tokens + reasoning tokens). - # The transformation layer normalises Usage to the OpenAI invariant - # (completion_tokens includes reasoning_tokens), so detect that and avoid - # double-counting. Fall back to the raw xAI shape (visible-only completion + - # reasoning kept in completion_tokens_details) for callers that bypass the - # transformation, e.g. proxy logs replayed straight into cost calc. + # XAI-specific completion cost: completion is billed as visible + reasoning + # tokens. Detect when the transformation layer already folded them so we + # don't double-count; fall back to raw xAI shape for callers that bypass + # the transformation (e.g. proxy logs replayed into cost calc). prompt_tokens = int(getattr(usage, "prompt_tokens", 0) or 0) completion_tokens = int(getattr(usage, "completion_tokens", 0) or 0) total_tokens = int(getattr(usage, "total_tokens", 0) or 0) diff --git a/litellm/types/llms/anthropic.py b/litellm/types/llms/anthropic.py index 6c57d3dc07a..1c4d31d21ad 100644 --- a/litellm/types/llms/anthropic.py +++ b/litellm/types/llms/anthropic.py @@ -393,12 +393,6 @@ class AnthropicMessagesRequestOptionalParams(TypedDict, total=False): AnthropicOutputConfig ] # Configuration for Claude's output behavior cache_control: Optional[Dict[str, Any]] # Automatic prompt caching - # OpenAI-style ``reasoning_effort`` is accepted on /v1/messages so callers - # can drive adaptive/extended thinking with a single tier-name knob (the - # same vocabulary as the chat completion path). The transformation layer - # maps it to native Anthropic ``thinking`` + ``output_config`` and pops - # this key before the request is forwarded — no provider receives - # ``reasoning_effort`` on the wire. reasoning_effort: Optional[str] diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py index 72e509d178f..64827db13f6 100644 --- a/litellm/types/llms/bedrock.py +++ b/litellm/types/llms/bedrock.py @@ -1041,12 +1041,4 @@ class BedrockInvokeAnthropicMessagesRequest(TypedDict, total=False): # `metadata` is part of the common Anthropic Messages API shape. thinking: dict metadata: dict - - # ``output_config`` is the adaptive-thinking effort payload for - # Claude 4.6 / 4.7 (e.g. ``{"effort": "max"}``). Bedrock Invoke - # accepts it for these models when ``thinking={"type": "adaptive"}``. - # Without this field in the allowlist, the runtime filter in - # ``AmazonAnthropicClaudeMessagesConfig.transform_anthropic_messages_request`` - # silently drops it and every adaptive tier collapses to identical - # behavior on /v1/messages. output_config: dict diff --git a/tests/test_litellm/llms/anthropic/chat/conftest.py b/tests/test_litellm/llms/anthropic/chat/conftest.py index 7dc6aeeb902..7e93e3b539b 100644 --- a/tests/test_litellm/llms/anthropic/chat/conftest.py +++ b/tests/test_litellm/llms/anthropic/chat/conftest.py @@ -1,37 +1,10 @@ +"""Force ``litellm.model_cost`` to load from the PR-local JSON for these tests. + +By default ``litellm.model_cost`` is fetched from the main branch on GitHub, +which lags behind PR-branch flag additions. This fixture loads the local +file so per-model flag tests pass in CI as well as locally. +See https://github.com/BerriAI/litellm/issues/27122. """ -Local-conftest for ``tests/test_litellm/llms/anthropic/chat``. - -Why this exists ---------------- -``litellm.model_cost`` is loaded once at ``litellm.__init__`` time. By default -it fetches ``model_prices_and_context_window.json`` from the **main branch on -GitHub** (``litellm.model_cost_map_url``) — *not* from the PR-branch JSON in -the working tree. That works fine in production (operators get new models -without redeploying litellm) but is the wrong default for tests, which need -to validate the code in front of them against the data in front of them. - -Several anthropic chat transformation tests (``test_supports_effort_level_*``, -``test_anthropic_model_supports_effort_param_*``) assert per-model flags -like ``supports_max_reasoning_effort`` / ``supports_xhigh_reasoning_effort`` -that may exist in the PR-local JSON but not yet in main's JSON. Without this -fixture those tests pass locally (where AGENTS.md tells contributors to set -``LITELLM_LOCAL_MODEL_COST_MAP=True``) but fail in CI (which doesn't set the -env var) — the chicken-and-egg PR adds flag → CI fetches main without flag -→ test fails → flag never lands on main. - -The fixture force-loads ``litellm.model_cost`` from the local JSON for every -test in this directory. ``tests/test_litellm/conftest.py`` already snapshots -and restores ``litellm.model_cost`` per-function, so this mutation is safe -and contained. - -This is a scoped workaround. The proper fix is to set -``LITELLM_LOCAL_MODEL_COST_MAP=True`` globally in the test workflow once the -~10 inline-set test files have been audited and the few tests that exercise -the remote-fetch / integrity-validation path have been given carve-outs. -Tracked at https://github.com/BerriAI/litellm/issues/27122. -""" - -import os import pytest @@ -41,10 +14,6 @@ from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map @pytest.fixture(autouse=True) def _use_pr_local_model_cost_map(monkeypatch): - """Force ``litellm.model_cost`` to the PR-branch JSON for the duration of - each test. ``monkeypatch`` reverts the env var after the test; the parent - conftest restores ``litellm.model_cost`` from its snapshot. - """ monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True") monkeypatch.setattr( litellm, diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index 1aa753ff8f0..26ed8d29c11 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -1632,7 +1632,6 @@ def test_effort_validation(): ) assert result["output_config"]["effort"] == effort - # Invalid value should raise BadRequestError (clean 400, not a 500). with pytest.raises( litellm.exceptions.BadRequestError, match="Invalid effort value" ): @@ -1685,10 +1684,7 @@ def test_effort_validation_with_opus_46(): def test_max_effort_rejected_for_opus_45(): - """Test that effort='max' is rejected when using Claude Opus 4.5. - - Surfaces as a clean 400 BadRequestError, not a 500 ValueError. - """ + """Test that effort='max' is rejected when using Claude Opus 4.5.""" config = AnthropicConfig() messages = [{"role": "user", "content": "Test"}] @@ -1749,12 +1745,7 @@ def test_effort_with_other_features(): def test_anthropic_drop_params_strips_output_config_for_pre_4_5_models(): - """ - Proxies fronting Claude Code at pre-4.5 Anthropic models receive - ``output_config`` injected by the client; without ``drop_params`` Bedrock / - Anthropic 400s. With ``drop_params=True`` we strip it (logged) so the - request can succeed. - """ + """``drop_params=True`` strips unsupported ``output_config`` for pre-4.5 models.""" config = AnthropicConfig() messages = [{"role": "user", "content": "Hello"}] @@ -1796,10 +1787,7 @@ def test_anthropic_drop_params_keeps_output_config_for_supporting_models(): def test_anthropic_drop_params_false_forwards_to_unsupported_model(): - """ - Default behavior: forward ``output_config`` and let the provider 400. - This is the contract for users who want strict, debuggable failures. - """ + """Default ``drop_params=False`` forwards ``output_config`` and lets the provider 400.""" config = AnthropicConfig() messages = [{"role": "user", "content": "Hello"}] @@ -2059,10 +2047,7 @@ def test_get_config_without_model_uses_fallback(): def test_get_config_does_not_leak_module_constants(): - """``BaseConfig.get_config`` returns class attributes; the - reasoning-effort mapping must not be one of them or it ends up - serialised onto the wire as an extra request key. - """ + """``get_config`` must not leak the reasoning-effort lookup table onto the wire.""" cfg = AnthropicConfig.get_config(model="claude-opus-4-7") for forbidden in ( "REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT", @@ -2078,10 +2063,6 @@ def test_get_config_does_not_leak_module_constants(): ("claude-opus-4-7", "xhigh", True), ("claude-opus-4-6", "max", True), ("claude-opus-4-6", "xhigh", False), - # ``max`` is documented as supported on Sonnet 4.6 (Claude 4.6 family). - # The model-map JSON now carries ``supports_max_reasoning_effort: true`` - # for every Sonnet 4.6 entry; ``_supports_effort_level`` should report - # ``True`` on every route prefix (anthropic, bedrock, vertex, azure). ("claude-sonnet-4-6", "max", True), ("claude-sonnet-4-6", "xhigh", False), ("bedrock/invoke/us.anthropic.claude-opus-4-7", "max", True), @@ -2094,27 +2075,21 @@ def test_get_config_does_not_leak_module_constants(): ], ) def test_supports_effort_level_handles_provider_prefixes(model, level, expected): - """``_supports_effort_level`` must handle bedrock/ vertex_ai/ azure_ai/ - prefixed model ids so per-model gating works on every route, not just - the bare-Anthropic chat completion path. - """ + """``_supports_effort_level`` resolves bedrock/vertex/azure-prefixed model ids.""" assert AnthropicConfig._supports_effort_level(model, level) is expected @pytest.mark.parametrize( "model,effort,expect_error", [ - # ``max`` accepted on 4.6 / 4.7 (family fallback) and rejected on 4.5. ("claude-opus-4-6", "max", False), ("claude-sonnet-4-6", "max", False), ("claude-opus-4-7", "max", False), ("claude-opus-4-5-20251101", "max", True), ("claude-sonnet-4-5", "max", True), - # ``xhigh`` data-driven; only 4.7 carries the flag in the model map. ("claude-opus-4-7", "xhigh", False), ("claude-opus-4-6", "xhigh", True), ("claude-sonnet-4-6", "xhigh", True), - # Lower efforts and ``None`` always pass the gate. ("claude-opus-4-5-20251101", "high", False), ("claude-haiku-4-5", "low", False), ("claude-opus-4-5-20251101", None, False), @@ -2123,13 +2098,6 @@ def test_supports_effort_level_handles_provider_prefixes(model, level, expected) def test_validate_effort_for_model_centralises_per_model_gating( model, effort, expect_error ): - """``_validate_effort_for_model`` is the single source of truth for the - per-model ``max`` / ``xhigh`` gating that ``_apply_output_config`` (chat - completion path) and ``AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic`` - (/v1/messages pass-through) both rely on. Both call sites raise their - own provider-appropriate exception, but the gating decision must come - from one place to prevent drift when a new model tier lands. - """ err = AnthropicConfig._validate_effort_for_model(model, effort) if expect_error: assert err is not None @@ -2342,14 +2310,12 @@ def test_reasoning_effort_maps_to_budget_thinking_for_non_opus_4_6(): """ config = AnthropicConfig() - # Test with Claude Sonnet 4.5 (non-Opus 4.6 model). - # ``minimal`` floors at the Anthropic provider minimum (1024) because - # Anthropic / Azure / Vertex / Bedrock Invoke 400 below that. + # ``minimal`` floors at ANTHROPIC_MIN_THINKING_BUDGET_TOKENS (1024). test_cases = [ - ("low", 1024), # DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET - ("medium", 2048), # DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET - ("high", 4096), # DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET - ("minimal", 1024), # ANTHROPIC_MIN_THINKING_BUDGET_TOKENS (provider floor) + ("low", 1024), + ("medium", 2048), + ("high", 4096), + ("minimal", 1024), ] for effort, expected_budget in test_cases: @@ -2447,16 +2413,7 @@ def test_reasoning_effort_does_not_set_output_config_for_older_models(): ], ) def test_max_effort_accepted_for_sonnet_46_variants(model): - """``effort='max'`` is documented as supported on Claude 4.6 (Opus + Sonnet) - and Claude 4.7 (https://platform.claude.com/docs/en/build-with-claude/effort). - - Earlier versions of this test asserted a 400 for Sonnet 4.6, mirroring an - Opus-only allow-list in ``_apply_output_config``. That gate has since been - widened to ``_is_claude_4_6_model`` (Opus + Sonnet) and the - ``supports_max_reasoning_effort`` JSON flag, matching Anthropic's published - matrix. Verify the param actually flows through every Sonnet 4.6 id - variant our routing layer might see. - """ + """``effort='max'`` is supported on Claude 4.6 (Opus + Sonnet) and 4.7.""" config = AnthropicConfig() messages = [{"role": "user", "content": "Test"}] @@ -2552,9 +2509,7 @@ def test_reasoning_effort_none_omits_thinking_and_output_config(model): ["disabled", "invalid", ""], ) def test_reasoning_effort_garbage_raises_bad_request(effort): - """Unmapped / garbage / empty-string reasoning_effort surfaces as a clean - 400 ``BadRequestError`` instead of letting ``ValueError`` propagate as 500. - """ + """Unmapped reasoning_effort raises BadRequestError (clean 400, not a 500).""" config = AnthropicConfig() with pytest.raises(litellm.exceptions.BadRequestError): @@ -2573,17 +2528,7 @@ def test_reasoning_effort_garbage_raises_bad_request(effort): def test_reasoning_effort_xhigh_max_maps_to_budget_on_budget_model( effort, expected_budget ): - """``xhigh`` / ``max`` extend the legacy ``thinking.budget_tokens`` - progression (low=1024 / medium=2048 / high=4096 → xhigh=8192 / max=16384) - on budget-mode Claude models (haiku / 4.5 series). - - Adopted from #27051. Keeps the OpenAI-format ``reasoning_effort`` knob - usable across the full Claude lineup — adaptive models (4.6/4.7) route - these tiers via ``output_config.effort``; budget-mode models use the - extended budget. Anthropic's "max only on Mythos / Opus 4.7 / Opus 4.6 / - Sonnet 4.6" gating applies to the *adaptive enum*, not to the legacy - ``budget_tokens`` knob, which accepts any integer up to ``max_tokens``. - """ + """``xhigh`` / ``max`` extend the budget_tokens progression on budget-mode models.""" config = AnthropicConfig() result = config.map_openai_params( @@ -2595,16 +2540,11 @@ def test_reasoning_effort_xhigh_max_maps_to_budget_on_budget_model( assert result["thinking"]["type"] == "enabled" assert result["thinking"]["budget_tokens"] == expected_budget - # Budget-mode models must NOT carry an ``output_config`` payload — that - # path is exclusively for adaptive (4.6+) models. assert "output_config" not in result def test_output_config_effort_empty_string_raises_bad_request(): - """``output_config={"effort": ""}`` must be rejected with a 400 — the - legacy ``if effort and ...`` short-circuit silently let it pass - through (verified end-to-end on the QA sweep for PR #27039). - """ + """``output_config={"effort": ""}`` is rejected with a 400.""" config = AnthropicConfig() with pytest.raises(litellm.exceptions.BadRequestError, match="Invalid effort"): @@ -2618,10 +2558,7 @@ def test_output_config_effort_empty_string_raises_bad_request(): def test_reasoning_effort_minimal_floors_at_anthropic_provider_minimum(): - """Anthropic Messages API rejects ``budget_tokens < 1024``. ``minimal`` - must floor at the provider minimum so it's a usable tier on direct - Anthropic / Azure AI Anthropic / Vertex AI Anthropic / Bedrock Invoke. - """ + """``minimal`` floors at the Anthropic provider minimum (1024).""" config = AnthropicConfig() result = config.map_openai_params( diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py index 20b5f958396..83716b8c8d3 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py @@ -1,18 +1,4 @@ -""" -Tests for OpenAI-style ``reasoning_effort`` translation on the Anthropic -/v1/messages route. - -The /v1/messages spec doesn't include ``reasoning_effort`` — without -translation it gets silently dropped at the filter step, leaving every -adaptive tier collapsed to the same behavior on Bedrock Invoke /v1/messages -(and on Anthropic / Azure AI / Vertex AI when callers pass it on the -messages route). - -These tests pin the translation and validation behavior at the shared -``AnthropicMessagesConfig`` level so all four /v1/messages routes -(direct Anthropic, Azure AI, Vertex AI, Bedrock Invoke) inherit the -same mapping. -""" +"""Tests for ``reasoning_effort`` translation on the Anthropic /v1/messages route.""" import pytest @@ -36,12 +22,6 @@ from litellm.llms.anthropic.experimental_pass_through.messages.transformation im def test_reasoning_effort_maps_to_output_config_for_adaptive_model( reasoning_effort, expected_effort ): - """ - For Claude 4.6 / 4.7, ``reasoning_effort`` is mapped to - ``thinking={"type": "adaptive"}`` plus ``output_config.effort=``, - using the same mapping table as the chat completion path so the two - routes can't drift. - """ config = AnthropicMessagesConfig() optional_params = {"max_tokens": 1024, "reasoning_effort": reasoning_effort} @@ -59,7 +39,6 @@ def test_reasoning_effort_maps_to_output_config_for_adaptive_model( def test_reasoning_effort_none_clears_thinking_and_output_config(): - """``reasoning_effort='none'`` opts out of extended thinking entirely.""" config = AnthropicMessagesConfig() optional_params = { "max_tokens": 1024, @@ -82,11 +61,6 @@ def test_reasoning_effort_none_clears_thinking_and_output_config(): def test_reasoning_effort_on_non_adaptive_model_uses_thinking_budget(): - """ - Non-adaptive models (Opus 4.5 / earlier) take ``thinking.budget_tokens`` - rather than ``output_config.effort``. The translation falls back to - the budget mapping in that case. - """ config = AnthropicMessagesConfig() optional_params = {"max_tokens": 1024, "reasoning_effort": "high"} @@ -109,11 +83,6 @@ def test_reasoning_effort_on_non_adaptive_model_uses_thinking_budget(): @pytest.mark.parametrize("bad_effort", ["invalid", "disabled", ""]) def test_invalid_reasoning_effort_raises_400(bad_effort): - """ - Garbage ``reasoning_effort`` values surface as a clean 400 instead of - silently passing through to the provider as an unknown - ``output_config.effort`` (which would 500). - """ config = AnthropicMessagesConfig() optional_params = {"max_tokens": 1024, "reasoning_effort": bad_effort} @@ -132,18 +101,12 @@ def test_invalid_reasoning_effort_raises_400(bad_effort): @pytest.mark.parametrize( "model,bad_effort", [ - # ``xhigh`` is Opus-4.7-only on the public Anthropic effort matrix, - # so Opus 4.6 / Sonnet 4.6 must still 400 on it. ("claude-opus-4-6", "xhigh"), ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh"), ("claude-sonnet-4-6", "xhigh"), ], ) def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort): - """``xhigh`` and ``max`` are gated per-model. The /v1/messages route must - surface a clean 400 client-side instead of forwarding the unsupported - tier and letting the provider 500/400 it. - """ config = AnthropicMessagesConfig() optional_params = {"max_tokens": 1024, "reasoning_effort": bad_effort} @@ -163,9 +126,6 @@ def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort @pytest.mark.parametrize( "model", [ - # ``max`` is documented as supported on Claude 4.6 (Opus + Sonnet) - # and Claude 4.7. Verify the /v1/messages route accepts it for - # Sonnet 4.6 variants instead of 400-ing client-side. "claude-sonnet-4-6", "bedrock/invoke/us.anthropic.claude-sonnet-4-6", ], @@ -187,11 +147,6 @@ def test_reasoning_effort_max_accepted_on_sonnet_46_messages(model): def test_explicit_output_config_wins_over_reasoning_effort(): - """ - Explicit native ``output_config.effort`` is never overridden by the - OpenAI alias. Same precedence as - ``_translate_legacy_thinking_for_adaptive_model``. - """ config = AnthropicMessagesConfig() optional_params = { "max_tokens": 1024, @@ -212,7 +167,6 @@ def test_explicit_output_config_wins_over_reasoning_effort(): def test_explicit_thinking_wins_over_reasoning_effort(): - """Explicit native ``thinking`` is never overridden by the alias.""" config = AnthropicMessagesConfig() optional_params = { "max_tokens": 1024, @@ -233,8 +187,6 @@ def test_explicit_thinking_wins_over_reasoning_effort(): def test_reasoning_effort_in_supported_params(): - """``reasoning_effort`` is advertised as a supported messages param so - callers and validation paths can introspect the schema.""" config = AnthropicMessagesConfig() assert "reasoning_effort" in config.get_supported_anthropic_messages_params( "claude-opus-4-7" diff --git a/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py b/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py index 2504e9d5b89..9dac914ca4d 100644 --- a/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py +++ b/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py @@ -292,19 +292,10 @@ class TestAzureAnthropicConfig: assert "compact-2026-01-12" in headers["anthropic-beta"] def test_output_config_promoted_from_extra_body(self): - """Anthropic-native ``output_config`` routed via ``extra_body`` (by the - openai-compatible kwarg stuffer in ``litellm/utils.py``) must be - promoted to top-level ``optional_params`` before delegating to - ``AnthropicConfig.transform_request``. Otherwise the value is - silently dropped by the ``extra_body`` pop and validation never - runs. - """ + """Anthropic ``output_config`` routed via ``extra_body`` reaches the request body.""" config = AzureAnthropicConfig() messages = [{"role": "user", "content": "Hello"}] - # Simulate what ``add_provider_specific_params_to_optional_params`` - # produces for ``litellm.completion(model="azure_ai/claude-...", - # output_config={"effort": "low"})``. optional_params = { "max_tokens": 100, "extra_body": {"output_config": {"effort": "low"}}, @@ -313,26 +304,18 @@ class TestAzureAnthropicConfig: headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"} result = config.transform_request( - model="claude-opus-4-6", # supports output_config.effort + model="claude-opus-4-6", messages=messages, optional_params=optional_params, litellm_params=litellm_params, headers=headers, ) - # output_config must reach the request body (not be silently dropped) - assert "output_config" in result assert result["output_config"] == {"effort": "low"} - # extra_body should be stripped on the way out assert "extra_body" not in result def test_invalid_output_config_effort_raises_via_extra_body(self): - """``effort="invalid"`` arriving via ``extra_body`` must still raise - ``BadRequestError`` (matching the native ``anthropic`` provider). - Previously this was silently dropped on Azure, so unsupported - efforts reached the model with default behavior instead of - returning a clean 400. - """ + """Invalid ``effort`` via ``extra_body`` raises BadRequestError.""" import litellm config = AzureAnthropicConfig() @@ -356,9 +339,7 @@ class TestAzureAnthropicConfig: assert "Invalid effort value" in str(exc_info.value) def test_unsupported_effort_xhigh_raises_via_extra_body(self): - """``effort="xhigh"`` on a model that does not support it (e.g. - Sonnet 4.6) must raise ``BadRequestError`` even when arriving via - ``extra_body`` on Azure.""" + """Unsupported ``effort='xhigh'`` via ``extra_body`` raises BadRequestError.""" import litellm config = AzureAnthropicConfig() @@ -382,17 +363,14 @@ class TestAzureAnthropicConfig: assert "xhigh" in str(exc_info.value) def test_extra_body_promotion_does_not_clobber_top_level(self): - """If a key exists at both top-level ``optional_params`` and - inside ``extra_body``, the top-level value wins (``setdefault`` - semantics). This protects against a caller who explicitly sets a - param at top-level and accidentally also has it in extra_body.""" + """Top-level ``optional_params`` wins over duplicates in ``extra_body``.""" config = AzureAnthropicConfig() messages = [{"role": "user", "content": "Hello"}] optional_params = { "max_tokens": 100, - "output_config": {"effort": "low"}, # top-level wins - "extra_body": {"output_config": {"effort": "high"}}, # ignored + "output_config": {"effort": "low"}, + "extra_body": {"output_config": {"effort": "high"}}, } litellm_params = {"api_key": "test-key"} headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"} diff --git a/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py index 8689a05e8e6..4495e3f4101 100644 --- a/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py @@ -407,18 +407,7 @@ def test_opus_4_5_model_detection(): def test_output_config_forwarded_for_bedrock_chat_invoke_request(): - """ - Bedrock Invoke (chat/completions route) must forward - ``output_config`` for Anthropic adaptive-thinking models. The earlier - behavior stripped it unconditionally, which silently flattened every - adaptive tier (``low``/``medium``/``high``/``xhigh``/``max``) to identical - behavior on the wire. - - The wire QA at https://github.com/BerriAI/litellm/pull/27039 showed - ``thinking.type: adaptive`` was forwarded but ``output_config.effort`` - was always missing, even though direct curls to Anthropic's Bedrock - Invoke endpoint accept it. - """ + """Bedrock Invoke chat path forwards ``output_config`` for adaptive Claude models.""" config = AmazonAnthropicClaudeConfig() messages = [{"role": "user", "content": "test"}] @@ -437,7 +426,6 @@ def test_output_config_forwarded_for_bedrock_chat_invoke_request(): ) assert result.get("output_config") == {"effort": "high"} - # Verify normal params survive assert result["max_tokens"] == 100 diff --git a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py index 271498887f4..5f2ed3dc00f 100644 --- a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py +++ b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py @@ -326,10 +326,7 @@ def test_reasoning_effort_none_omits_thinking_for_anthropic_converse(model): def test_reasoning_effort_sets_output_config_for_adaptive_models_converse( model, effort, expected_effort ): - """Adaptive-thinking Claude 4.6 / 4.7 on Bedrock Converse must carry the - requested tier via ``output_config.effort``. The prior strip silently - flattened every adaptive tier on the wire (verified in the PR #27039 - QA sweep).""" + """Adaptive Claude 4.6 / 4.7 on Bedrock Converse routes the tier via ``output_config.effort``.""" config = AmazonConverseConfig() optional_params = config.map_openai_params( @@ -352,10 +349,7 @@ def test_reasoning_effort_sets_output_config_for_adaptive_models_converse( ], ) def test_output_config_effort_forwarded_into_additional_request_fields(model): - """``output_config`` must ride along inside ``additionalModelRequestFields`` - so the Anthropic-on-Bedrock wire request actually carries the effort - tier. The prior ``inference_params.pop("output_config")`` dropped it - on the floor for every adaptive tier.""" + """``output_config`` rides along inside ``additionalModelRequestFields``.""" config = AmazonConverseConfig() messages = [{"role": "user", "content": "hi"}] @@ -380,10 +374,7 @@ def test_output_config_effort_forwarded_into_additional_request_fields(model): ["disabled", "invalid", ""], ) def test_reasoning_effort_garbage_raises_bad_request_converse(effort): - """Garbage / empty-string reasoning_effort on Bedrock Converse Anthropic - must surface as a clean 400 ``BadRequestError`` instead of 500. The - earlier ``ValueError`` from ``_map_reasoning_effort`` propagated up as - a generic 500 in the proxy and ate the request.""" + """Unmapped reasoning_effort on Bedrock Converse Anthropic raises BadRequestError.""" config = AmazonConverseConfig() with pytest.raises(litellm.exceptions.BadRequestError): @@ -405,13 +396,7 @@ def test_reasoning_effort_garbage_raises_bad_request_converse(effort): ], ) def test_output_config_effort_max_passes_through_on_sonnet_46_variants(model): - """``effort='max'`` is supported on Claude 4.6 (Opus + Sonnet) per - https://platform.claude.com/docs/en/build-with-claude/effort. The earlier - Opus-only allow-list in ``_validate_anthropic_adaptive_effort`` has been - widened to ``_is_claude_4_6_model`` (Opus + Sonnet) plus the - ``supports_max_reasoning_effort`` JSON flag. Verify the param actually - flows through to ``additionalModelRequestFields.output_config.effort`` - for every Bedrock Converse Sonnet 4.6 id variant.""" + """``effort='max'`` flows through for every Bedrock Converse Sonnet 4.6 id.""" config = AmazonConverseConfig() messages = [{"role": "user", "content": "hi"}] @@ -3450,9 +3435,7 @@ def test_transform_request_strips_anthropic_output_config(): def test_converse_drop_params_strips_output_config_for_pre_4_5_anthropic(): - """``drop_params=True`` strips ``output_config`` for pre-4.5 Anthropic - models on Bedrock Converse so a proxy fronting Claude Code at haiku doesn't - force a 400 on every request.""" + """``drop_params=True`` strips unsupported ``output_config`` on Bedrock Converse.""" config = AmazonConverseConfig() messages = [{"role": "user", "content": "hi"}] @@ -3477,7 +3460,7 @@ def test_converse_drop_params_strips_output_config_for_pre_4_5_anthropic(): def test_converse_drop_params_keeps_output_config_for_supporting_anthropic(): - """``drop_params=True`` must not strip on supporting models.""" + """``drop_params=True`` does not strip on models that support ``output_config``.""" config = AmazonConverseConfig() messages = [{"role": "user", "content": "hi"}] diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index 644ff81f6f6..c98f7840343 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -593,16 +593,7 @@ def test_remove_scope_from_cache_control(): def test_bedrock_messages_forwards_output_config(): - """ - ``output_config`` is the adaptive-thinking effort payload for Claude - 4.6 / 4.7 (e.g. ``{"effort": "max"}``). Bedrock Invoke accepts it for - those models — the prior behavior of stripping it silently flattened - every adaptive tier on /v1/messages so ``low`` / ``medium`` / ``high`` / - ``xhigh`` / ``max`` all collapsed to identical thinking with no tier - differentiation. - - Regression coverage for the QA bug listed on PR #27039. - """ + """Bedrock Invoke /v1/messages forwards ``output_config`` for adaptive Claude models.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -628,12 +619,7 @@ def test_bedrock_messages_forwards_output_config(): def test_bedrock_messages_forwards_output_config_with_output_format(): - """ - When both output_config and output_format are present, output_format is - converted to inline schema (Bedrock Invoke doesn't accept output_format - natively), and output_config is forwarded for Claude 4.6/4.7 adaptive - thinking. - """ + """``output_config`` is forwarded; ``output_format`` is converted to inline schema.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -663,19 +649,7 @@ def test_bedrock_messages_forwards_output_config_with_output_format(): def test_bedrock_messages_forwards_output_config_for_non_adaptive_model(): - """ - ``output_config`` is forwarded for non-adaptive models too (e.g. haiku). - Bedrock will reject the unsupported key for those models — surfacing the - provider error is the correct behavior, since silently swallowing the - knob would hide caller bugs. - - Restores coverage previously asserted by - ``test_bedrock_messages_strips_output_config`` (renamed to the - ``forwards`` variant on Opus 4.7); the strip path no longer exists, - but the non-adaptive pass-through path needs its own explicit test - so a future regression that silently re-adds the strip can't sneak - through. - """ + """``output_config`` is forwarded for non-adaptive models so the provider's error surfaces.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -698,14 +672,7 @@ def test_bedrock_messages_forwards_output_config_for_non_adaptive_model(): def test_bedrock_messages_drop_params_strips_output_config_for_pre_4_5(): - """ - ``drop_params=True`` is the operator opt-in for "silently fix up" - behavior. When a proxy fronts Claude Code at a pre-4.5 Anthropic model - (haiku-3, sonnet-3.5, ...) on the /v1/messages route, the client always - sends ``output_config.effort`` and the model rejects it. Stripping under - ``drop_params`` lets those requests succeed; otherwise we forward and - surface the model's 400 as designed. - """ + """``drop_params=True`` strips ``output_config`` for pre-4.5 Anthropic on /v1/messages.""" import litellm from litellm.types.router import GenericLiteLLMParams @@ -733,8 +700,7 @@ def test_bedrock_messages_drop_params_strips_output_config_for_pre_4_5(): def test_bedrock_messages_drop_params_keeps_output_config_for_4_7(): - """``drop_params=True`` must not strip on supporting models — opus-4-7 - accepts effort, so the client's tier knob has to land on the wire.""" + """``drop_params=True`` does not strip on opus-4-7 (supports effort).""" import litellm from litellm.types.router import GenericLiteLLMParams @@ -775,18 +741,7 @@ def test_bedrock_messages_drop_params_keeps_output_config_for_4_7(): def test_bedrock_messages_maps_reasoning_effort_for_adaptive_model( reasoning_effort, expected_effort ): - """ - OpenAI-style ``reasoning_effort`` is mapped to native Anthropic - ``thinking`` + ``output_config.effort`` on the /v1/messages route so - callers can drive adaptive thinking with the same tier vocabulary as - the chat completion path. ``reasoning_effort`` itself is popped — the - /v1/messages spec doesn't define it and Bedrock rejects unknown - top-level fields. - - Closes the QA-sweep gap on PR #27074 where Bedrock Invoke /v1/messages - silently dropped ``reasoning_effort`` and every effort tier collapsed - to the same behavior. - """ + """``reasoning_effort`` maps to ``thinking`` + ``output_config.effort`` on /v1/messages.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -810,16 +765,7 @@ def test_bedrock_messages_maps_reasoning_effort_for_adaptive_model( def test_bedrock_messages_reasoning_effort_on_non_adaptive_uses_thinking_budget(): - """ - For non-adaptive thinking models (e.g. Opus 4.5), ``reasoning_effort`` - is mapped to ``thinking.type=enabled`` with a budget_tokens value - instead of ``output_config.effort``. ``output_config`` is not set on - these models because they don't accept it. - - Mirrors ``AnthropicConfig._map_reasoning_effort`` behavior for the - non-adaptive branch on Opus 4.5 / earlier Claude 4 models, applied to - the /v1/messages route. - """ + """Non-adaptive models map ``reasoning_effort`` to ``thinking.budget_tokens``.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -847,11 +793,7 @@ def test_bedrock_messages_reasoning_effort_on_non_adaptive_uses_thinking_budget( def test_bedrock_messages_reasoning_effort_none_clears_thinking(): - """ - ``reasoning_effort='none'`` opts out — both ``thinking`` and - ``output_config`` are cleared so the request goes out without - extended thinking. Mirrors the chat completion path's behavior. - """ + """``reasoning_effort='none'`` clears both ``thinking`` and ``output_config``.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -877,11 +819,7 @@ def test_bedrock_messages_reasoning_effort_none_clears_thinking(): def test_bedrock_messages_invalid_reasoning_effort_raises_400(): - """ - Garbage ``reasoning_effort`` values (``invalid`` / ``disabled`` / ``""``) - surface as a clean 400 ``AnthropicError`` instead of silently passing - an invalid string through to Bedrock as ``output_config.effort``. - """ + """Garbage ``reasoning_effort`` raises AnthropicError (400).""" from litellm.llms.anthropic.common_utils import AnthropicError from litellm.types.router import GenericLiteLLMParams @@ -903,12 +841,7 @@ def test_bedrock_messages_invalid_reasoning_effort_raises_400(): def test_bedrock_messages_explicit_output_config_wins_over_reasoning_effort(): - """ - Caller-supplied native ``output_config.effort`` wins over the OpenAI - ``reasoning_effort`` knob. Same precedence as - ``_translate_legacy_thinking_for_adaptive_model``: explicit native - Anthropic params are never overridden by the alias. - """ + """Explicit ``output_config.effort`` wins over the ``reasoning_effort`` alias.""" from litellm.types.router import GenericLiteLLMParams cfg = AmazonAnthropicClaudeMessagesConfig() @@ -1006,11 +939,6 @@ def test_bedrock_messages_allowlist_filters_anthropic_only_fields(): ): assert bad not in result, f"{bad} should be stripped by the allowlist" - # ``output_config`` rides along — Bedrock Invoke accepts it for Claude - # 4.6/4.7 adaptive thinking and stripping it silently flattens every - # adaptive tier. (Bedrock will reject it for non-adaptive models, which - # is the correct behavior — surface the model error rather than swallow - # the knob.) assert result.get("output_config") == {"effort": "low"} # Supported fields pass through. assert result["max_tokens"] == 4096 diff --git a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py index 0a5ba12f187..d89d09a4e63 100644 --- a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py @@ -499,14 +499,7 @@ def test_vertex_ai_partner_models_anthropic_remove_prompt_caching_scope_beta_hea def test_vertex_ai_anthropic_output_config_effort_only_forwarded(): - """ - Vertex AI Claude 4.6 / 4.7 accept ``output_config.effort`` on direct - ``:rawPredict`` (verified end-to-end against ``us-east5`` for - ``claude-opus-4-6`` and ``global`` for ``claude-opus-4-7``). The earlier - strip silently flattened every adaptive tier on Vertex, so ``low`` / - ``medium`` / ``high`` / ``xhigh`` / ``max`` all produced identical - thinking with no tier differentiation. - """ + """Vertex AI Claude 4.6/4.7 accept ``output_config.effort`` on rawPredict.""" config = VertexAIAnthropicConfig() messages = [{"role": "user", "content": "What is 2+2?"}] @@ -568,15 +561,7 @@ def test_vertex_ai_anthropic_output_config_format_passes_through(): def test_vertex_ai_anthropic_output_config_format_plus_effort_preserved(): - """ - Vertex AI Claude 4.6 / 4.7 accept ``output_config.effort`` on direct - ``:rawPredict`` (verified end-to-end against ``us-east5`` for - ``claude-opus-4-6`` and ``global`` for ``claude-opus-4-7``). Since the - strip was unjustified, ``effort`` must now ride along with ``format``. - - We use a Claude 4.6 model id here because ``_apply_output_config`` only - accepts ``effort`` on adaptive-thinking 4.6/4.7 model ids. - """ + """Both ``format`` and ``effort`` ride along on Vertex Claude 4.6/4.7.""" config = VertexAIAnthropicConfig() messages = [{"role": "user", "content": "Return a person object."}] @@ -625,14 +610,7 @@ def test_vertex_ai_anthropic_output_config_non_dict_dropped(): def test_vertex_ai_anthropic_output_format_and_output_config_effort_preserved(): - """ - Vertex AI Claude 4.6 / 4.7 accept ``output_config.effort`` on direct - ``:rawPredict`` (verified end-to-end). When both ``output_format`` and - ``output_config: {effort}`` are present, both must be forwarded — the - earlier ``effort`` strip caused silent loss of the requested adaptive - thinking tier on Vertex routes (``low``/``medium``/``high``/``xhigh``/``max`` - all collapsed to identical adaptive thinking with no tier differentiation). - """ + """Both ``output_format`` and ``output_config.effort`` are forwarded on Vertex 4.6/4.7.""" config = VertexAIAnthropicConfig() messages = [{"role": "user", "content": "Extract structured data"}] diff --git a/tests/test_litellm/llms/xai/test_xai_chat_transformation.py b/tests/test_litellm/llms/xai/test_xai_chat_transformation.py index a8bbb880c5b..3ae8dfc3c0b 100644 --- a/tests/test_litellm/llms/xai/test_xai_chat_transformation.py +++ b/tests/test_litellm/llms/xai/test_xai_chat_transformation.py @@ -14,10 +14,7 @@ from litellm.types.utils import ( class TestXAIReasoningTokenFolding: - """xAI breaks the OpenAI invariant total = prompt + completion by accounting - reasoning_tokens separately. ``_fold_reasoning_tokens_into_completion`` - re-aligns Usage so downstream consumers see the OpenAI shape (o1/o3 - semantics: completion_tokens includes reasoning).""" + """``_fold_reasoning_tokens_into_completion`` re-aligns xAI Usage to the OpenAI invariant.""" @staticmethod def _make_response( @@ -42,8 +39,7 @@ class TestXAIReasoningTokenFolding: return response def test_should_fold_when_total_explained_by_reasoning_gap(self): - # Real xAI live shape captured 2026-05-04: prompt=14, completion=10, - # total=336, reasoning=312. 14+10+312 == 336. + # xAI live shape: 14 + 10 + 312 == 336. response = self._make_response( prompt_tokens=14, completion_tokens=10, @@ -58,7 +54,6 @@ class TestXAIReasoningTokenFolding: assert usage.total_tokens == usage.prompt_tokens + usage.completion_tokens def test_should_not_fold_when_already_normalised(self): - # OpenAI-normalised shape: completion already includes reasoning. response = self._make_response( prompt_tokens=14, completion_tokens=322, @@ -68,7 +63,6 @@ class TestXAIReasoningTokenFolding: XAIChatConfig._fold_reasoning_tokens_into_completion(response) - # Idempotent — no double-fold. assert response.usage.completion_tokens == 322 def test_should_skip_when_no_reasoning_tokens(self): @@ -84,8 +78,7 @@ class TestXAIReasoningTokenFolding: assert response.usage.completion_tokens == 10 def test_should_skip_when_gap_does_not_match_reasoning(self): - # Defensive guard: if xAI ever changes accounting and the gap stops - # equalling reasoning_tokens, refuse to fold rather than corrupt. + # Refuse to fold if xAI accounting changes (gap != reasoning_tokens). response = self._make_response( prompt_tokens=14, completion_tokens=10, @@ -95,7 +88,6 @@ class TestXAIReasoningTokenFolding: XAIChatConfig._fold_reasoning_tokens_into_completion(response) - # No fold; original values preserved. assert response.usage.completion_tokens == 10 assert response.usage.total_tokens == 999 diff --git a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py index a8aae346224..02fe7c8e68f 100644 --- a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py +++ b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py @@ -107,7 +107,6 @@ class TestXAICostCalculator: def test_grok_4_cost_calculation(self): """Test cost calculation for grok-4 model.""" - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=10, completion_tokens=200, @@ -134,7 +133,6 @@ class TestXAICostCalculator: def test_grok_3_fast_beta_cost_calculation(self): """Test cost calculation for grok-3-fast-beta model.""" - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=20, completion_tokens=300, @@ -176,7 +174,6 @@ class TestXAICostCalculator: def test_edge_case_large_reasoning_tokens(self): """Test cost calculation when reasoning_tokens is larger than completion_tokens.""" - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=12, completion_tokens=50, # Less than reasoning_tokens @@ -204,7 +201,6 @@ class TestXAICostCalculator: def test_tiered_pricing_above_128k_tokens(self): """Test tiered pricing for tokens above 128k.""" # Test with grok-4-fast-reasoning which has tiered pricing - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=150000, # Above 128k threshold completion_tokens=100000, # Above 128k threshold @@ -234,7 +230,6 @@ class TestXAICostCalculator: def test_tiered_pricing_below_128k_tokens(self): """Test that regular pricing is used for tokens below 128k threshold.""" # Test with grok-4-fast-reasoning which has tiered pricing - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=100000, # Below 128k threshold completion_tokens=50000, @@ -263,7 +258,6 @@ class TestXAICostCalculator: def test_tiered_pricing_grok_4_latest(self): """Test tiered pricing for grok-4-latest model.""" - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=200000, # Above 128k threshold completion_tokens=100000, @@ -292,7 +286,6 @@ class TestXAICostCalculator: def test_tiered_pricing_output_tokens_below_128k(self): """Test that output tokens get tiered rate when input tokens > 128k, even if output tokens < 128k.""" - # xAI raw API shape: total_tokens = prompt + visible completion + reasoning usage = Usage( prompt_tokens=150000, # Above 128k threshold completion_tokens=50000, # Below 128k threshold @@ -339,16 +332,7 @@ class TestXAICostCalculator: assert math.isclose(completion_cost, expected_completion_cost, rel_tol=1e-10) def test_already_normalised_usage_does_not_double_count_reasoning(self): - """Cost calc receives Usage post-transformation (OpenAI invariant). - - After XAIChatConfig.transform_response folds reasoning_tokens into - completion_tokens, the Usage block satisfies - ``total_tokens == prompt_tokens + completion_tokens``. Cost calc must - detect this and skip the reasoning_tokens add-on, otherwise it - double-bills the reasoning tokens. - """ - # OpenAI-normalised shape: completion_tokens already includes the - # 100 reasoning tokens (so 100 visible + 100 reasoning -> 200). + """Cost calc must not double-bill when Usage is already OpenAI-normalised.""" usage = Usage( prompt_tokens=12, completion_tokens=200, @@ -364,7 +348,6 @@ class TestXAICostCalculator: prompt_cost, completion_cost = cost_per_token(model="grok-3-mini", usage=usage) - # Bill exactly what completion_tokens reports — no double-add. expected_prompt_cost = 12 * 3e-7 expected_completion_cost = 200 * 5e-7 diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py index 7e840cc7ad0..65305e1a81e 100644 --- a/tests/test_litellm/test_utils.py +++ b/tests/test_litellm/test_utils.py @@ -2905,9 +2905,9 @@ def test_gemini_embedding_2_ga_in_cost_map(): assert info.get("input_cost_per_audio_per_second") == 0.00016 assert info.get("input_cost_per_video_per_second") == 0.00079 if provider in ("vertex_ai-embedding-models", "vertex_ai"): - assert info.get("uses_embed_content") is True, ( - f"{key} must have uses_embed_content=true for correct Vertex AI routing" - ) + assert ( + info.get("uses_embed_content") is True + ), f"{key} must have uses_embed_content=true for correct Vertex AI routing" def test_gemini_lyria_3_preview_models_in_cost_map(): From 0f02a5f8f6ff8da2104df85e036d1b315b5d728b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 13:14:59 -0700 Subject: [PATCH 134/160] test: keep decode token test local --- .../test_decode_special_tokens.py | 34 +++++++++++++++---- 1 file changed, 27 insertions(+), 7 deletions(-) diff --git a/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py b/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py index f0f2b8e7f5d..d1a5f78a859 100644 --- a/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py +++ b/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py @@ -1,17 +1,37 @@ +from tokenizers import AddedToken, Tokenizer +from tokenizers.models import WordLevel +from tokenizers.pre_tokenizers import Whitespace +from tokenizers.processors import TemplateProcessing + from litellm import decode, encode -def test_decode_can_preserve_huggingface_special_tokens(): - sample_text = "Hello World, this is my input string!" - tokens = encode(model="meta-llama/Llama-2-7b-chat", text=sample_text) +def _create_custom_tokenizer(): + tokenizer = Tokenizer( + WordLevel({"[UNK]": 0, "Hello": 1, "World": 2}, unk_token="[UNK]") + ) + tokenizer.pre_tokenizer = Whitespace() + tokenizer.add_special_tokens([AddedToken("[BOS]", special=True)]) + bos_token_id = tokenizer.token_to_id("[BOS]") + assert bos_token_id is not None + tokenizer.post_processor = TemplateProcessing( + single="[BOS] $A", + special_tokens=[("[BOS]", bos_token_id)], + ) + return {"type": "huggingface_tokenizer", "tokenizer": tokenizer} - decoded_text = decode(model="meta-llama/Llama-2-7b-chat", tokens=tokens) + +def test_decode_can_preserve_huggingface_special_tokens(): + custom_tokenizer = _create_custom_tokenizer() + sample_text = "Hello World" + tokens = encode(text=sample_text, custom_tokenizer=custom_tokenizer) + + decoded_text = decode(tokens=tokens, custom_tokenizer=custom_tokenizer) decoded_text_with_special_tokens = decode( - model="meta-llama/Llama-2-7b-chat", tokens=tokens, + custom_tokenizer=custom_tokenizer, skip_special_tokens=False, ) assert decoded_text == sample_text - assert sample_text in decoded_text_with_special_tokens - assert decoded_text_with_special_tokens != sample_text + assert decoded_text_with_special_tokens == "[BOS] Hello World" From 1dcfc36393cf3b5de5c43e1c46c065d159be45bc Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 13:21:03 -0700 Subject: [PATCH 135/160] chore(deps): align dashboard node engine --- ui/litellm-dashboard/package-lock.json | 2 +- ui/litellm-dashboard/package.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json index 037826e291e..ca4e469de08 100644 --- a/ui/litellm-dashboard/package-lock.json +++ b/ui/litellm-dashboard/package-lock.json @@ -69,7 +69,7 @@ "vitest": "3.2.4" }, "engines": { - "node": ">=18.17.0", + "node": ">=20.9.0", "npm": ">=8.3.0" } }, diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json index d7386c9ce5f..32c00ac62a8 100644 --- a/ui/litellm-dashboard/package.json +++ b/ui/litellm-dashboard/package.json @@ -92,7 +92,7 @@ "postcss": "8.5.13" }, "engines": { - "node": ">=18.17.0", + "node": ">=20.9.0", "npm": ">=8.3.0" } } From 516b741de179ebcf14e91b8c202dfc17cc212517 Mon Sep 17 00:00:00 2001 From: Yassin Kortam Date: Fri, 1 May 2026 16:11:31 -0700 Subject: [PATCH 136/160] feat: selectively apply routing strategy according to model name --- litellm/router.py | 656 +++++++++++------- litellm/types/router.py | 15 + .../test_router_routing_groups.py | 631 +++++++++++++++++ 3 files changed, 1061 insertions(+), 241 deletions(-) create mode 100644 tests/test_litellm/router_strategy/test_router_routing_groups.py diff --git a/litellm/router.py b/litellm/router.py index 8e29f8cfc11..8458c880e5a 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -159,6 +159,7 @@ from litellm.types.router import ( RouterModelGroupAliasItem, RouterRateLimitError, RouterRateLimitErrorBasic, + RoutingGroup, RoutingStrategy, SearchToolTypedDict, ) @@ -308,6 +309,7 @@ class Router: ] = "simple-shuffle", optional_pre_call_checks: Optional[OptionalPreCallChecks] = None, routing_strategy_args: dict = {}, # just for latency-based + routing_groups: Optional[List[Union[RoutingGroup, dict]]] = None, provider_budget_config: Optional[GenericBudgetConfigType] = None, alerting_config: Optional[AlertingConfig] = None, router_general_settings: Optional[ @@ -347,8 +349,9 @@ class Router: retry_after (int): Minimum time to wait before retrying a failed request. Defaults to 0. allowed_fails (Optional[int]): Number of allowed fails before adding to cooldown. Defaults to None. cooldown_time (float): Time to cooldown a deployment after failure in seconds. Defaults to 1. - routing_strategy (Literal["simple-shuffle", "least-busy", "usage-based-routing", "latency-based-routing", "cost-based-routing"]): Routing strategy. Defaults to "simple-shuffle". - routing_strategy_args (dict): Additional args for latency-based routing. Defaults to {}. + routing_strategy (Literal["simple-shuffle", "least-busy", "usage-based-routing", "latency-based-routing", "cost-based-routing"]): Routing strategy used for the implicit "default" group (any model not claimed by an entry in `routing_groups`). Defaults to "simple-shuffle". + routing_strategy_args (dict): Additional args for the default group's routing strategy (e.g. latency window). Defaults to {}. + routing_groups (Optional[List[RoutingGroup]]): Named subsets of `model_name`s that use a per-group routing strategy and args. Each model belongs to at most one explicit group; everything else lands in the implicit "default" group driven by `routing_strategy` / `routing_strategy_args`. Defaults to None. alerting_config (AlertingConfig): Slack alerting configuration. Defaults to None. provider_budget_config (ProviderBudgetConfig): Provider budget configuration. Use this to set llm_provider budget limits. example $100/day to OpenAI, $100/day to Azure, etc. Defaults to None. deployment_affinity_ttl_seconds (int): TTL for user-key -> deployment affinity mapping. Defaults to 3600. @@ -541,7 +544,10 @@ class Router: self.stream_timeout = stream_timeout self.retry_after = retry_after - self.routing_strategy = routing_strategy + self.routing_strategy = self._normalize_strategy(routing_strategy) + self._routing_groups_input: Optional[List[Union[RoutingGroup, dict]]] = ( + routing_groups + ) ## SETTING FALLBACKS ## ### validate if it's set + in correct format @@ -612,6 +618,7 @@ class Router: routing_strategy=routing_strategy, routing_strategy_args=routing_strategy_args, ) + self._init_routing_groups(self._routing_groups_input) self.access_groups = None ## USAGE TRACKING ## if isinstance(litellm._async_success_callback, list): @@ -806,84 +813,349 @@ class Router: if self.cache.redis_cache is None: self.cache.redis_cache = cache + # Maps a routing strategy string to the attribute on `self` that holds + # the default group's strategy selector for that strategy. (The selectors + # double as `CustomLogger` callbacks, hence the legacy `*_logger` attrs.) + _DEFAULT_SELECTOR_ATTR_BY_STRATEGY: Dict[str, str] = { + "least-busy": "leastbusy_logger", + "usage-based-routing": "lowesttpm_logger", + "usage-based-routing-v2": "lowesttpm_logger_v2", + "latency-based-routing": "lowestlatency_logger", + "cost-based-routing": "lowestcost_logger", + } + + @staticmethod + def _normalize_strategy( + strategy: Union[RoutingStrategy, str, None] + ) -> Optional[str]: + if strategy is None: + return None + if isinstance(strategy, RoutingStrategy): + return strategy.value + return strategy + + def _validate_routing_strategy( + self, routing_strategy: Union[RoutingStrategy, str, None] + ) -> None: + # See: https://github.com/BerriAI/litellm/issues/11330 + valid_strategy_strings = ["simple-shuffle"] + [s.value for s in RoutingStrategy] + if routing_strategy is None: + return + is_valid_string = ( + isinstance(routing_strategy, str) + and routing_strategy in valid_strategy_strings + ) + is_valid_enum = isinstance(routing_strategy, RoutingStrategy) + if not is_valid_string and not is_valid_enum: + raise ValueError( + f"Invalid routing_strategy: '{routing_strategy}'. " + f"Valid options: {valid_strategy_strings}. " + f"Check 'router_settings.routing_strategy' in your config.yaml " + f"or the 'routing_strategy' parameter if using the Router SDK directly." + ) + + def _build_strategy_selector( + self, + strategy: Union[RoutingStrategy, str], + routing_strategy_args: dict, + register_callbacks: bool = True, + ) -> Optional[Any]: + """ + Constructs a strategy selector for a given strategy. + Returns None for `simple-shuffle` (no selector needed) and unknown + strategies. + """ + selector: Optional[Any] = None + match self._normalize_strategy(strategy): + case RoutingStrategy.LEAST_BUSY.value: + selector = LeastBusyLoggingHandler(router_cache=self.cache) + if register_callbacks: + if isinstance(litellm.input_callback, list): + litellm.input_callback.append(selector) # type: ignore + else: + litellm.input_callback = [selector] # type: ignore + case RoutingStrategy.USAGE_BASED_ROUTING.value: + selector = LowestTPMLoggingHandler( + router_cache=self.cache, + routing_args=routing_strategy_args, + ) + case RoutingStrategy.USAGE_BASED_ROUTING_V2.value: + selector = LowestTPMLoggingHandler_v2( + router_cache=self.cache, + routing_args=routing_strategy_args, + ) + case RoutingStrategy.LATENCY_BASED.value: + selector = LowestLatencyLoggingHandler( + router_cache=self.cache, + routing_args=routing_strategy_args, + ) + case RoutingStrategy.COST_BASED.value: + selector = LowestCostLoggingHandler( + router_cache=self.cache, + routing_args={}, + ) + + if ( + selector is not None + and register_callbacks + and isinstance(litellm.callbacks, list) + ): + litellm.logging_callback_manager.add_litellm_callback(selector) # type: ignore + + return selector + + def _unregister_router_selectors(self, selectors: List[Any]) -> None: + """ + Drop router-owned strategy selectors from litellm's global callback + lists by identity. Used before re-init (`routing_strategy_init` / + `_init_routing_groups`) so repeated `update_settings` calls don't + accumulate dead selectors that keep receiving callback events. + """ + selector_ids = {id(s) for s in selectors if s is not None} + if not selector_ids: + return + if isinstance(litellm.callbacks, list): + litellm.callbacks = [ + c for c in litellm.callbacks if id(c) not in selector_ids + ] + if isinstance(litellm.input_callback, list): + litellm.input_callback = [ + c for c in litellm.input_callback if id(c) not in selector_ids + ] + def routing_strategy_init( self, routing_strategy: Union[RoutingStrategy, str], routing_strategy_args: dict ): verbose_router_logger.info(f"Routing strategy: {routing_strategy}") + self._validate_routing_strategy(routing_strategy) - # Validate routing_strategy value to fail fast with helpful error - # See: https://github.com/BerriAI/litellm/issues/11330 - # Derive valid strategies from RoutingStrategy enum + "simple-shuffle" (default, not in enum) - valid_strategy_strings = ["simple-shuffle"] + [s.value for s in RoutingStrategy] + self._unregister_router_selectors( + [ + getattr(self, attr, None) + for attr in self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.values() + ] + ) - if routing_strategy is not None: - is_valid_string = ( - isinstance(routing_strategy, str) - and routing_strategy in valid_strategy_strings - ) - is_valid_enum = isinstance(routing_strategy, RoutingStrategy) - if not is_valid_string and not is_valid_enum: + self.leastbusy_logger: Optional[LeastBusyLoggingHandler] = None + self.lowesttpm_logger: Optional[LowestTPMLoggingHandler] = None + self.lowesttpm_logger_v2: Optional[LowestTPMLoggingHandler_v2] = None + self.lowestlatency_logger: Optional[LowestLatencyLoggingHandler] = None + self.lowestcost_logger: Optional[LowestCostLoggingHandler] = None + + selector = self._build_strategy_selector( + strategy=routing_strategy, + routing_strategy_args=routing_strategy_args, + ) + attr = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get( + self._normalize_strategy(routing_strategy) or "" + ) + # TODO: legacy `self._logger` attributes are read directly by + # `get_settings()` and external callers. Fold the default group into + # `self._group_selectors["default"]` and drop these attribute writes — + # the dual storage is an antipattern preserved only for back-compat. + if attr is not None: + setattr(self, attr, selector) + + def _init_routing_groups( + self, + groups_input: Optional[List[Union[RoutingGroup, dict]]], + ) -> None: + """ + Validates and indexes `routing_groups`. Each `model_name` may belong to + at most one explicit group. Constructs per-group strategy selectors so + groups with different `routing_strategy_args` track independent state. + + Models not claimed by any explicit group are served by the implicit + `"default"` group, whose selectors are the `self._logger` + attributes set up in `routing_strategy_init`. + """ + self._unregister_router_selectors( + [ + sel + for selectors in getattr(self, "_group_selectors", {}).values() + for sel in selectors.values() + ] + ) + + self._routing_groups: Dict[str, RoutingGroup] = {} + self._model_to_group: Dict[str, str] = {} + self._group_selectors: Dict[str, Dict[str, Any]] = {} + + if not groups_input: + return + + known_model_names = { + m.get("model_name") for m in (self.model_list or []) if m.get("model_name") + } + + seen_group_names: set = set() + for raw in groups_input: + group = raw if isinstance(raw, RoutingGroup) else RoutingGroup(**raw) + + if not group.group_name: + raise ValueError("routing_groups: group_name must be non-empty.") + if group.group_name == "default": raise ValueError( - f"Invalid routing_strategy: '{routing_strategy}'. " - f"Valid options: {valid_strategy_strings}. " - f"Check 'router_settings.routing_strategy' in your config.yaml " - f"or the 'routing_strategy' parameter if using the Router SDK directly." + "routing_groups: 'default' is reserved for the implicit fallback group." ) + if group.group_name in seen_group_names: + raise ValueError( + f"routing_groups: group names must be unique, duplicate group_name '{group.group_name}'." + ) + seen_group_names.add(group.group_name) - if ( - routing_strategy == RoutingStrategy.LEAST_BUSY.value - or routing_strategy == RoutingStrategy.LEAST_BUSY - ): - self.leastbusy_logger = LeastBusyLoggingHandler(router_cache=self.cache) - ## add callback - if isinstance(litellm.input_callback, list): - litellm.input_callback.append(self.leastbusy_logger) # type: ignore - else: - litellm.input_callback = [self.leastbusy_logger] # type: ignore - if isinstance(litellm.callbacks, list): - litellm.logging_callback_manager.add_litellm_callback(self.leastbusy_logger) # type: ignore - elif ( - routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING.value - or routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING - ): - self.lowesttpm_logger = LowestTPMLoggingHandler( - router_cache=self.cache, - routing_args=routing_strategy_args, + self._validate_routing_strategy(group.routing_strategy) + + for model_name in group.models: + if model_name in self._model_to_group: + raise ValueError( + f"routing_groups: model_name '{model_name}' appears in " + f"both '{self._model_to_group[model_name]}' and " + f"'{group.group_name}'. Each model may belong to at most one group." + ) + if known_model_names and model_name not in known_model_names: + verbose_router_logger.warning( + "routing_groups: model_name '%s' (group '%s') is not in model_list; " + "the group entry will only take effect once a deployment with that " + "model_name is added.", + model_name, + group.group_name, + ) + self._model_to_group[model_name] = group.group_name + + self._routing_groups[group.group_name] = group + + strategy_value = self._normalize_strategy(group.routing_strategy) or "" + group_selector = self._build_strategy_selector( + strategy=group.routing_strategy, + routing_strategy_args=group.routing_strategy_args or {}, ) - if isinstance(litellm.callbacks, list): - litellm.logging_callback_manager.add_litellm_callback(self.lowesttpm_logger) # type: ignore - elif ( - routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING_V2.value - or routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING_V2 - ): - self.lowesttpm_logger_v2 = LowestTPMLoggingHandler_v2( - router_cache=self.cache, - routing_args=routing_strategy_args, + self._group_selectors[group.group_name] = ( + {strategy_value: group_selector} if group_selector is not None else {} ) - if isinstance(litellm.callbacks, list): - litellm.logging_callback_manager.add_litellm_callback(self.lowesttpm_logger_v2) # type: ignore - elif ( - routing_strategy == RoutingStrategy.LATENCY_BASED.value - or routing_strategy == RoutingStrategy.LATENCY_BASED - ): - self.lowestlatency_logger = LowestLatencyLoggingHandler( - router_cache=self.cache, - routing_args=routing_strategy_args, - ) - if isinstance(litellm.callbacks, list): - litellm.logging_callback_manager.add_litellm_callback(self.lowestlatency_logger) # type: ignore - elif ( - routing_strategy == RoutingStrategy.COST_BASED.value - or routing_strategy == RoutingStrategy.COST_BASED - ): - self.lowestcost_logger = LowestCostLoggingHandler( - router_cache=self.cache, - routing_args={}, - ) - if isinstance(litellm.callbacks, list): - litellm.logging_callback_manager.add_litellm_callback(self.lowestcost_logger) # type: ignore - else: - pass + + def _get_routing_context(self, model: str) -> Tuple[Optional[str], Optional[Any]]: + """ + Resolves the routing strategy and selector to use for the given model. + + Every model belongs to exactly one group: an explicit entry from + `routing_groups`, or the implicit `"default"` group driven by the + router's top-level `routing_strategy` / `routing_strategy_args`. + + `self.routing_strategy` may be either a string or a `RoutingStrategy` + enum member (the constructor accepts both), so it is normalized to a + string here. Downstream call sites and `_select_deployment_*` arms + compare against string literals. + """ + group_name = self._model_to_group.get(model) + if group_name is None: + strategy = self._normalize_strategy(self.routing_strategy) + attr = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get(strategy or "") + selector = getattr(self, attr, None) if attr is not None else None + return strategy, selector + + group = self._routing_groups[group_name] + strategy = self._normalize_strategy(group.routing_strategy) + selector = self._group_selectors.get(group_name, {}).get(strategy or "") + return strategy, selector + + async def _select_deployment_async( + self, + *, + strategy: Optional[str], + selector: Optional[Any], + model: str, + healthy_deployments: list, + messages: Optional[List[Dict[str, str]]], + input: Optional[Union[str, List]], + request_kwargs: Optional[Dict], + ) -> Optional[Any]: + """ + Asks the strategy selector for a deployment. Caller handles + `simple-shuffle` separately (it does not flow through a selector). + Returns None for unknown strategies or when the selector is missing. + """ + if selector is None: + return None + match strategy: + case "least-busy": + return await selector.async_get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + ) + case "usage-based-routing": + # `LowestTPMLoggingHandler` (v1) only exposes the sync + # `get_available_deployments`. Mirror the pre-routing-groups + # top-level fallback by calling it inline so groups using v1 + # still work from async callers. + return selector.get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + messages=messages, + input=input, + ) + case "usage-based-routing-v2" | "cost-based-routing": + return await selector.async_get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + messages=messages, + input=input, + ) + case "latency-based-routing": + return await selector.async_get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + messages=messages, + input=input, + request_kwargs=request_kwargs, + ) + case _: + return None + + def _select_deployment_sync( + self, + *, + strategy: Optional[str], + selector: Optional[Any], + model: str, + healthy_deployments: list, + messages: Optional[List[Dict[str, str]]], + input: Optional[Union[str, List]], + request_kwargs: Optional[Dict], + ) -> Optional[Any]: + """ + Sync sibling of `_select_deployment_async`. Caller handles + `simple-shuffle` separately. + """ + if selector is None: + return None + + # `cost-based-routing` is intentionally omitted — + # `LowestCostLoggingHandler` only implements + # `async_get_available_deployments` + match strategy: + case "least-busy": + return selector.get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + ) + case "usage-based-routing" | "usage-based-routing-v2": + return selector.get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + messages=messages, + input=input, + ) + case "latency-based-routing": + return selector.get_available_deployments( + model_group=model, + healthy_deployments=healthy_deployments, + messages=messages, + input=input, + request_kwargs=request_kwargs, + ) + case _: + return None def initialize_assistants_endpoint(self): ## INITIALIZE PASS THROUGH ASSISTANTS ENDPOINT ## @@ -9016,8 +9288,13 @@ class Router: if ( var == "routing_strategy_args" and self.routing_strategy == "latency-based-routing" + and self.lowestlatency_logger is not None ): _settings_to_return[var] = self.lowestlatency_logger.routing_args.json() + + _settings_to_return["routing_groups"] = [ + group.model_dump() for group in self._routing_groups.values() + ] return _settings_to_return def update_settings(self, **kwargs): @@ -9028,6 +9305,7 @@ class Router: _allowed_settings = [ "routing_strategy_args", "routing_strategy", + "routing_groups", "allowed_fails", "cooldown_time", "num_retries", @@ -9049,26 +9327,34 @@ class Router: ] _existing_router_settings = self.get_settings() + rebuild_routing_groups = False for var in kwargs: if var in _allowed_settings: if var in _int_settings: _casted_value = int(kwargs[var]) setattr(self, var, _casted_value) + elif var == "routing_groups": + self._routing_groups_input = kwargs[var] + rebuild_routing_groups = True else: + value = kwargs[var] # only run routing strategy init if it has changed - if ( - var == "routing_strategy" - and _existing_router_settings["routing_strategy"] != kwargs[var] - ): - self.routing_strategy_init( - routing_strategy=kwargs[var], - routing_strategy_args=kwargs.get( - "routing_strategy_args", {} - ), - ) - setattr(self, var, kwargs[var]) + if var == "routing_strategy": + value = self._normalize_strategy(value) + if _existing_router_settings["routing_strategy"] != value: + self.routing_strategy_init( + routing_strategy=value, + routing_strategy_args=kwargs.get( + "routing_strategy_args", {} + ), + ) + rebuild_routing_groups = True + setattr(self, var, value) else: verbose_router_logger.debug("Setting {} is not allowed".format(var)) + + if rebuild_routing_groups: + self._init_routing_groups(self._routing_groups_input) verbose_router_logger.debug(f"Updated Router settings: {self.get_settings()}") def _get_client(self, deployment, kwargs, client_type=None): @@ -9779,6 +10065,11 @@ class Router: messages = pre_routing_hook_response.messages ######################################################### + # Resolve the strategy and logger AFTER the pre-routing hook, since + # the hook can replace `model` and routing-group lookup must key + # off the final model name. + strategy, strategy_selector = self._get_routing_context(model) + healthy_deployments = await self.async_get_healthy_deployments( model=model, request_kwargs=request_kwargs, @@ -9798,61 +10089,21 @@ class Router: return healthy_deployments[0] start_time = time.time() - if ( - self.routing_strategy == "usage-based-routing-v2" - and self.lowesttpm_logger_v2 is not None - ): - deployment = ( - await self.lowesttpm_logger_v2.async_get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - messages=messages, - input=input, - ) - ) - elif ( - self.routing_strategy == "cost-based-routing" - and self.lowestcost_logger is not None - ): - deployment = ( - await self.lowestcost_logger.async_get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - messages=messages, - input=input, - ) - ) - elif ( - self.routing_strategy == "latency-based-routing" - and self.lowestlatency_logger is not None - ): - deployment = ( - await self.lowestlatency_logger.async_get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - messages=messages, - input=input, - request_kwargs=request_kwargs, - ) - ) - elif self.routing_strategy == "simple-shuffle": + if strategy == "simple-shuffle": return simple_shuffle( llm_router_instance=self, healthy_deployments=healthy_deployments, model=model, ) - elif ( - self.routing_strategy == "least-busy" - and self.leastbusy_logger is not None - ): - deployment = ( - await self.leastbusy_logger.async_get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - ) - ) - else: - deployment = None + deployment = await self._select_deployment_async( + strategy=strategy, + selector=strategy_selector, + model=model, + healthy_deployments=healthy_deployments, # type: ignore + messages=messages, + input=input, + request_kwargs=request_kwargs, + ) if deployment is None: exception = await async_raise_no_deployment_exception( litellm_router_instance=self, @@ -9960,49 +10211,22 @@ class Router: # 5. Apply load balancing strategy start_time = time.perf_counter() - if ( - self.routing_strategy == "usage-based-routing-v2" - and self.lowesttpm_logger_v2 is not None - ): - deployment = ( - await self.lowesttpm_logger_v2.async_get_available_deployments( - model_group=model, - healthy_deployments=pass_through_deployments, # type: ignore - messages=messages, - input=input, - ) - ) - elif ( - self.routing_strategy == "latency-based-routing" - and self.lowestlatency_logger is not None - ): - deployment = ( - await self.lowestlatency_logger.async_get_available_deployments( - model_group=model, - healthy_deployments=pass_through_deployments, # type: ignore - messages=messages, - input=input, - request_kwargs=request_kwargs, - ) - ) - elif self.routing_strategy == "simple-shuffle": + strategy, strategy_selector = self._get_routing_context(model) + if strategy == "simple-shuffle": return simple_shuffle( llm_router_instance=self, healthy_deployments=pass_through_deployments, model=model, ) - elif ( - self.routing_strategy == "least-busy" - and self.leastbusy_logger is not None - ): - deployment = ( - await self.leastbusy_logger.async_get_available_deployments( - model_group=model, - healthy_deployments=pass_through_deployments, # type: ignore - ) - ) - else: - deployment = None + deployment = await self._select_deployment_async( + strategy=strategy, + selector=strategy_selector, + model=model, + healthy_deployments=pass_through_deployments, # type: ignore + messages=messages, + input=input, + request_kwargs=request_kwargs, + ) if deployment is None: exception = await async_raise_no_deployment_exception( @@ -10191,11 +10415,8 @@ class Router: cooldown_list=_cooldown_list, ) - if self.routing_strategy == "least-busy" and self.leastbusy_logger is not None: - deployment = self.leastbusy_logger.get_available_deployments( - model_group=model, healthy_deployments=healthy_deployments # type: ignore - ) - elif self.routing_strategy == "simple-shuffle": + strategy, strategy_selector = self._get_routing_context(model) + if strategy == "simple-shuffle": # if users pass rpm or tpm, we do a random weighted pick - based on rpm/tpm ############## Check 'weight' param set for weighted pick ################# return simple_shuffle( @@ -10203,37 +10424,15 @@ class Router: healthy_deployments=healthy_deployments, model=model, ) - elif ( - self.routing_strategy == "latency-based-routing" - and self.lowestlatency_logger is not None - ): - deployment = self.lowestlatency_logger.get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - request_kwargs=request_kwargs, - ) - elif ( - self.routing_strategy == "usage-based-routing" - and self.lowesttpm_logger is not None - ): - deployment = self.lowesttpm_logger.get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - messages=messages, - input=input, - ) - elif ( - self.routing_strategy == "usage-based-routing-v2" - and self.lowesttpm_logger_v2 is not None - ): - deployment = self.lowesttpm_logger_v2.get_available_deployments( - model_group=model, - healthy_deployments=healthy_deployments, # type: ignore - messages=messages, - input=input, - ) - else: - deployment = None + deployment = self._select_deployment_sync( + strategy=strategy, + selector=strategy_selector, + model=model, + healthy_deployments=healthy_deployments, # type: ignore + messages=messages, + input=input, + request_kwargs=request_kwargs, + ) if deployment is None: verbose_router_logger.info( @@ -10359,47 +10558,22 @@ class Router: ) # 6. Apply load balancing strategy - if self.routing_strategy == "least-busy" and self.leastbusy_logger is not None: - deployment = self.leastbusy_logger.get_available_deployments( - model_group=model, healthy_deployments=pass_through_deployments # type: ignore - ) - elif self.routing_strategy == "simple-shuffle": + strategy, strategy_selector = self._get_routing_context(model) + if strategy == "simple-shuffle": return simple_shuffle( llm_router_instance=self, healthy_deployments=pass_through_deployments, model=model, ) - elif ( - self.routing_strategy == "latency-based-routing" - and self.lowestlatency_logger is not None - ): - deployment = self.lowestlatency_logger.get_available_deployments( - model_group=model, - healthy_deployments=pass_through_deployments, # type: ignore - request_kwargs=request_kwargs, - ) - elif ( - self.routing_strategy == "usage-based-routing" - and self.lowesttpm_logger is not None - ): - deployment = self.lowesttpm_logger.get_available_deployments( - model_group=model, - healthy_deployments=pass_through_deployments, # type: ignore - messages=messages, - input=input, - ) - elif ( - self.routing_strategy == "usage-based-routing-v2" - and self.lowesttpm_logger_v2 is not None - ): - deployment = self.lowesttpm_logger_v2.get_available_deployments( - model_group=model, - healthy_deployments=pass_through_deployments, # type: ignore - messages=messages, - input=input, - ) - else: - deployment = None + deployment = self._select_deployment_sync( + strategy=strategy, + selector=strategy_selector, + model=model, + healthy_deployments=pass_through_deployments, # type: ignore + messages=messages, + input=input, + request_kwargs=request_kwargs, + ) if deployment is None: verbose_router_logger.info( diff --git a/litellm/types/router.py b/litellm/types/router.py index 2bc8cee3518..926815ba317 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -38,6 +38,19 @@ class ModelConfig(BaseModel): model_config = ConfigDict(protected_namespaces=()) +class RoutingGroup(BaseModel): + """ + A group of models that share a routing strategy. + """ + + group_name: str + models: List[str] + routing_strategy: str + routing_strategy_args: Optional[dict] = None + + model_config = ConfigDict(protected_namespaces=()) + + class RouterConfig(BaseModel): model_list: List[ModelConfig] @@ -65,6 +78,7 @@ class RouterConfig(BaseModel): "usage-based-routing", "latency-based-routing", ] = "simple-shuffle" + routing_groups: Optional[List[RoutingGroup]] = None model_config = ConfigDict(protected_namespaces=()) @@ -76,6 +90,7 @@ class UpdateRouterConfig(BaseModel): routing_strategy_args: Optional[dict] = None routing_strategy: Optional[str] = None + routing_groups: Optional[List[RoutingGroup]] = None model_group_retry_policy: Optional[dict] = None model_group_affinity_config: Optional[Dict[str, List[str]]] = None allowed_fails: Optional[int] = None diff --git a/tests/test_litellm/router_strategy/test_router_routing_groups.py b/tests/test_litellm/router_strategy/test_router_routing_groups.py new file mode 100644 index 00000000000..7368c72836d --- /dev/null +++ b/tests/test_litellm/router_strategy/test_router_routing_groups.py @@ -0,0 +1,631 @@ +""" +Tests for `routing_groups` — assigns named subsets of `model_name`s to a +per-group routing strategy. Models not claimed by an explicit group fall into +the implicit `"default"` group driven by the router's top-level +`routing_strategy` / `routing_strategy_args`. +""" + +import os +import sys +from unittest.mock import patch + +import pytest + +sys.path.insert(0, os.path.abspath("../..")) + +import litellm +from litellm import Router +from litellm.types.router import RoutingGroup, RoutingStrategy + + +def _model_list(): + return [ + { + "model_name": "filtered-model", + "litellm_params": { + "model": "openai/gpt-4o", + "api_key": "sk-test-1", + "api_base": "https://example.invalid", + }, + "model_info": {"id": "deploy-1"}, + }, + { + "model_name": "filtered-model", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-test-2", + "api_base": "https://example.invalid", + }, + "model_info": {"id": "deploy-2"}, + }, + { + "model_name": "other-model", + "litellm_params": { + "model": "openai/gpt-4o", + "api_key": "sk-test-3", + "api_base": "https://example.invalid", + }, + "model_info": {"id": "deploy-3"}, + }, + ] + + +def _build_router(routing_strategy="simple-shuffle", routing_groups=None): + return Router( + model_list=_model_list(), + routing_strategy=routing_strategy, + routing_groups=routing_groups, + ) + + +def test_no_groups_uses_top_level_strategy_for_all_models(): + router = _build_router(routing_strategy="latency-based-routing") + assert router._get_routing_context("filtered-model")[0] == "latency-based-routing" + assert router._get_routing_context("other-model")[0] == "latency-based-routing" + + +def test_explicit_group_overrides_top_level(): + router = _build_router( + routing_strategy="simple-shuffle", + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + } + ], + ) + strategy, selector = router._get_routing_context("filtered-model") + assert strategy == "latency-based-routing" + assert selector is not None + # other-model isn't in any explicit group, so it lands in the default fallback + strategy_other, _ = router._get_routing_context("other-model") + assert strategy_other == "simple-shuffle" + + +def test_default_group_is_simple_shuffle_when_top_level_strategy_unset(): + router = _build_router() + strategy, selector = router._get_routing_context("other-model") + assert strategy == "simple-shuffle" + # simple-shuffle does not use a selector + assert selector is None + + +def test_two_groups_same_strategy_have_independent_selectors(): + router = _build_router( + routing_strategy="simple-shuffle", + routing_groups=[ + { + "group_name": "group_a", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + "routing_strategy_args": {"ttl": 60}, + }, + { + "group_name": "group_b", + "models": ["other-model"], + "routing_strategy": "latency-based-routing", + "routing_strategy_args": {"ttl": 600}, + }, + ], + ) + a_selector = router._group_selectors["group_a"]["latency-based-routing"] + b_selector = router._group_selectors["group_b"]["latency-based-routing"] + assert a_selector is not None and b_selector is not None + assert id(a_selector) != id(b_selector) + + +def test_overlapping_models_across_groups_raises(): + with pytest.raises(ValueError, match="appears in"): + _build_router( + routing_groups=[ + { + "group_name": "g1", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + }, + { + "group_name": "g2", + "models": ["filtered-model"], + "routing_strategy": "least-busy", + }, + ], + ) + + +def test_reserved_default_group_name_raises(): + with pytest.raises(ValueError, match="reserved"): + _build_router( + routing_groups=[ + { + "group_name": "default", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + } + ], + ) + + +def test_invalid_strategy_in_group_raises(): + with pytest.raises(ValueError, match="Invalid routing_strategy"): + _build_router( + routing_groups=[ + { + "group_name": "g1", + "models": ["filtered-model"], + "routing_strategy": "not-a-real-strategy", + } + ], + ) + + +def test_unknown_model_in_group_warns_but_does_not_raise(caplog): + import logging + + with caplog.at_level(logging.WARNING, logger="LiteLLM Router"): + router = _build_router( + routing_groups=[ + { + "group_name": "g1", + "models": ["model-not-in-list"], + "routing_strategy": "latency-based-routing", + } + ], + ) + assert "model-not-in-list" in caplog.text + assert router._model_to_group.get("model-not-in-list") == "g1" + + +def test_duplicate_group_name_raises(): + with pytest.raises(ValueError, match="duplicate"): + _build_router( + routing_groups=[ + { + "group_name": "g1", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + }, + { + "group_name": "g1", + "models": ["other-model"], + "routing_strategy": "least-busy", + }, + ], + ) + + +def test_routing_group_object_input_accepted(): + router = _build_router( + routing_groups=[ + RoutingGroup( + group_name="g1", + models=["filtered-model"], + routing_strategy="latency-based-routing", + ) + ], + ) + assert router._model_to_group["filtered-model"] == "g1" + + +@pytest.mark.asyncio +async def test_async_dispatch_uses_group_strategy_for_grouped_model(): + router = _build_router( + routing_strategy="simple-shuffle", + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + } + ], + ) + + group_selector = router._group_selectors["fast"]["latency-based-routing"] + + with ( + patch.object( + group_selector, + "async_get_available_deployments", + wraps=group_selector.async_get_available_deployments, + ) as latency_spy, + patch( + "litellm.router.simple_shuffle", wraps=litellm.router.simple_shuffle + ) as shuffle_spy, + ): + await router.async_get_available_deployment( + model="filtered-model", request_kwargs={} + ) + + assert ( + latency_spy.called + ), "group's latency selector should run for grouped model" + assert not shuffle_spy.called + + +@pytest.mark.asyncio +async def test_async_dispatch_falls_back_to_default_for_ungrouped_models(): + router = _build_router( + routing_strategy="simple-shuffle", + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + } + ], + ) + + group_selector = router._group_selectors["fast"]["latency-based-routing"] + + with ( + patch.object( + group_selector, + "async_get_available_deployments", + wraps=group_selector.async_get_available_deployments, + ) as latency_spy, + patch( + "litellm.router.simple_shuffle", wraps=litellm.router.simple_shuffle + ) as shuffle_spy, + ): + await router.async_get_available_deployment( + model="other-model", request_kwargs={} + ) + + assert shuffle_spy.called, "default group's simple-shuffle should run" + assert not latency_spy.called + + +def test_update_settings_round_trip_routing_groups(): + router = _build_router() + assert router._model_to_group == {} + + router.update_settings( + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + } + ] + ) + assert router._model_to_group == {"filtered-model": "fast"} + assert router._get_routing_context("filtered-model")[0] == "latency-based-routing" + + settings = router.get_settings() + assert any(g["group_name"] == "fast" for g in settings["routing_groups"]) + + +def test_default_group_accepts_routing_strategy_enum_for_top_level_strategy(): + """ + The Router constructor accepts both string and RoutingStrategy enum forms. + The default group must resolve a real selector for either input shape, or + every ungrouped model raises NoDeploymentAvailable. + """ + router = _build_router(routing_strategy=RoutingStrategy.LATENCY_BASED) + strategy, selector = router._get_routing_context("other-model") + assert strategy == "latency-based-routing" + assert selector is not None + assert router.lowestlatency_logger is selector + + +@pytest.mark.asyncio +async def test_async_dispatch_uses_default_selector_when_constructed_with_enum(): + router = _build_router(routing_strategy=RoutingStrategy.LATENCY_BASED) + default_selector = router.lowestlatency_logger + assert default_selector is not None + + # filtered-model has 2 deployments, so the single-deployment short-circuit + # in async_get_available_deployment doesn't kick in and we actually hit + # the latency selector. + with ( + patch.object( + default_selector, + "async_get_available_deployments", + wraps=default_selector.async_get_available_deployments, + ) as latency_spy, + patch( + "litellm.router.simple_shuffle", wraps=litellm.router.simple_shuffle + ) as shuffle_spy, + ): + await router.async_get_available_deployment( + model="filtered-model", request_kwargs={} + ) + + assert ( + latency_spy.called + ), "default group's latency selector must run when constructed with the enum" + assert not shuffle_spy.called + + +def test_update_settings_does_not_leak_strategy_callbacks(monkeypatch): + """ + Repeated `update_settings` calls must not accumulate stale selectors in + `litellm.callbacks` / `litellm.input_callback`. Each rebuild owns the + previous generation and is responsible for unregistering it by identity + so the global lists don't grow without bound. + """ + monkeypatch.setattr(litellm, "callbacks", []) + monkeypatch.setattr(litellm, "input_callback", []) + + router = _build_router(routing_strategy="latency-based-routing") + initial_default_selector = router.lowestlatency_logger + assert initial_default_selector is not None + assert any( + c is initial_default_selector for c in litellm.callbacks + ), "fresh router should register its default selector" + + # Flip strategies back and forth — each transition triggers + # routing_strategy_init and must replace, not accumulate. + for _ in range(3): + router.update_settings(routing_strategy="usage-based-routing") + router.update_settings(routing_strategy="latency-based-routing") + + assert all( + c is not initial_default_selector for c in litellm.callbacks + ), "old default selector instance leaked into litellm.callbacks" + + # The set of router-owned selectors should be bounded — at most one per + # strategy class. Without the cleanup fix this grows by one per toggle. + router_owned_classes = ( + "LeastBusyLoggingHandler", + "LowestTPMLoggingHandler", + "LowestTPMLoggingHandler_v2", + "LowestLatencyLoggingHandler", + "LowestCostLoggingHandler", + ) + router_owned = [ + c for c in litellm.callbacks if type(c).__name__ in router_owned_classes + ] + assert len(router_owned) <= len( + router_owned_classes + ), f"router selectors leaked: {[type(c).__name__ for c in router_owned]}" + + # Group selectors: capture the v1 instance, swap, confirm v1 is gone by id. + router.update_settings( + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + } + ] + ) + group_selector_v1 = router._group_selectors["fast"]["latency-based-routing"] + assert group_selector_v1 is not None + + router.update_settings( + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "latency-based-routing", + "routing_strategy_args": {"ttl": 600}, + } + ] + ) + assert all( + c is not group_selector_v1 for c in litellm.callbacks + ), "old group selector instance leaked into litellm.callbacks" + group_selector_v2 = router._group_selectors["fast"]["latency-based-routing"] + assert group_selector_v2 is not group_selector_v1 + + +def test_update_settings_unregisters_group_selectors_when_groups_removed(monkeypatch): + """ + Setting routing_groups to an empty list (or omitting all groups) must + unregister every previously-owned group selector. + """ + monkeypatch.setattr(litellm, "callbacks", []) + monkeypatch.setattr(litellm, "input_callback", []) + + router = _build_router( + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "least-busy", + } + ] + ) + group_selector = router._group_selectors["fast"]["least-busy"] + assert group_selector in litellm.callbacks + assert group_selector in litellm.input_callback + + router.update_settings(routing_groups=[]) + + assert all(c is not group_selector for c in litellm.callbacks) + assert all(c is not group_selector for c in litellm.input_callback) + assert router._group_selectors == {} + + +# --------------------------------------------------------------------------- +# Direct helper coverage +# --------------------------------------------------------------------------- + + +def test_normalize_strategy_handles_string_enum_and_none(): + assert Router._normalize_strategy(None) is None + assert Router._normalize_strategy("simple-shuffle") == "simple-shuffle" + assert ( + Router._normalize_strategy(RoutingStrategy.LATENCY_BASED) + == RoutingStrategy.LATENCY_BASED.value + ) + + +def test_validate_routing_strategy_accepts_valid_and_rejects_invalid(): + router = _build_router() + # Valid: string, enum, None + router._validate_routing_strategy("simple-shuffle") + router._validate_routing_strategy(RoutingStrategy.LATENCY_BASED) + router._validate_routing_strategy(None) + with pytest.raises(ValueError, match="Invalid routing_strategy"): + router._validate_routing_strategy("not-a-real-strategy") + + +def test_build_strategy_selector_returns_none_for_simple_shuffle(monkeypatch): + monkeypatch.setattr(litellm, "callbacks", []) + monkeypatch.setattr(litellm, "input_callback", []) + router = _build_router() + assert ( + router._build_strategy_selector( + strategy="simple-shuffle", + routing_strategy_args={}, + register_callbacks=False, + ) + is None + ) + + +def test_build_strategy_selector_constructs_for_known_strategies(monkeypatch): + monkeypatch.setattr(litellm, "callbacks", []) + monkeypatch.setattr(litellm, "input_callback", []) + router = _build_router() + selector = router._build_strategy_selector( + strategy="latency-based-routing", + routing_strategy_args={"ttl": 30}, + register_callbacks=False, + ) + assert selector is not None + + +def test_unregister_router_selectors_removes_by_identity(monkeypatch): + monkeypatch.setattr(litellm, "callbacks", []) + monkeypatch.setattr(litellm, "input_callback", []) + router = _build_router() + selector = router._build_strategy_selector( + strategy="least-busy", + routing_strategy_args={}, + register_callbacks=True, + ) + assert selector in litellm.callbacks + assert selector in litellm.input_callback + router._unregister_router_selectors([selector]) + assert all(c is not selector for c in litellm.callbacks) + assert all(c is not selector for c in litellm.input_callback) + + +def test_init_routing_groups_with_none_clears_state(): + router = _build_router( + routing_groups=[ + { + "group_name": "fast", + "models": ["filtered-model"], + "routing_strategy": "least-busy", + } + ] + ) + assert router._routing_groups + router._init_routing_groups(None) + assert router._routing_groups == {} + assert router._model_to_group == {} + assert router._group_selectors == {} + + +@pytest.mark.asyncio +async def test_select_deployment_async_returns_none_without_selector(): + router = _build_router() + result = await router._select_deployment_async( + strategy="simple-shuffle", + selector=None, + model="filtered-model", + healthy_deployments=[], + messages=None, + input=None, + request_kwargs=None, + ) + assert result is None + + +def test_select_deployment_sync_returns_none_without_selector(): + router = _build_router() + result = router._select_deployment_sync( + strategy="simple-shuffle", + selector=None, + model="filtered-model", + healthy_deployments=[], + messages=None, + input=None, + request_kwargs=None, + ) + assert result is None + + +def test_select_deployment_sync_does_not_dispatch_cost_based_routing(): + """ + `LowestCostLoggingHandler` only implements `async_get_available_deployments`, + so the sync dispatch must fall through to None for `cost-based-routing` + instead of raising AttributeError. + """ + router = _build_router( + routing_strategy="simple-shuffle", + routing_groups=[ + { + "group_name": "cheap", + "models": ["filtered-model"], + "routing_strategy": "cost-based-routing", + } + ], + ) + cost_selector = router._group_selectors["cheap"]["cost-based-routing"] + assert not hasattr(cost_selector, "get_available_deployments"), ( + "test premise broken: LowestCostLoggingHandler unexpectedly grew a " + "sync method — revisit the sync dispatch arm." + ) + + result = router._select_deployment_sync( + strategy="cost-based-routing", + selector=cost_selector, + model="filtered-model", + healthy_deployments=[], + messages=None, + input=None, + request_kwargs=None, + ) + assert result is None + + +@pytest.mark.asyncio +async def test_async_dispatch_falls_back_to_sync_for_usage_based_routing_v1(): + """ + `LowestTPMLoggingHandler` (v1) only implements the sync + `get_available_deployments`. The async dispatch must call the sync method + on the v1 selector instead of awaiting a non-existent async one. + """ + router = _build_router( + routing_strategy="simple-shuffle", + routing_groups=[ + { + "group_name": "v1", + "models": ["filtered-model"], + "routing_strategy": "usage-based-routing", + } + ], + ) + v1_selector = router._group_selectors["v1"]["usage-based-routing"] + assert not hasattr(v1_selector, "async_get_available_deployments"), ( + "test premise broken: LowestTPMLoggingHandler v1 unexpectedly grew an " + "async method — revisit the async dispatch arm." + ) + + with patch.object( + v1_selector, + "get_available_deployments", + wraps=v1_selector.get_available_deployments, + ) as v1_spy: + await router._select_deployment_async( + strategy="usage-based-routing", + selector=v1_selector, + model="filtered-model", + healthy_deployments=[ + { + "model_name": "filtered-model", + "litellm_params": {"model": "openai/gpt-4o"}, + "model_info": {"id": "deploy-1"}, + } + ], + messages=[{"role": "user", "content": "hi"}], + input=None, + request_kwargs={}, + ) + + assert v1_spy.called, "async dispatch must route v1 strategy through sync method" From 1ac430cfeafdbae9d8d960d67c7cf161a9919358 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Mon, 4 May 2026 13:01:34 -0700 Subject: [PATCH 137/160] style: make _model_supports_effort_param more concise --- litellm/llms/anthropic/chat/transformation.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 6e76a9c85e9..de021ed0c46 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -285,10 +285,8 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): @staticmethod def _model_supports_effort_param(model: str) -> bool: """Whether the model accepts ``output_config.effort`` at all.""" - for level in ("low", "minimal", "medium", "high", "xhigh", "max"): - if AnthropicConfig._supports_effort_level(model, level): - return True - return False + return any(AnthropicConfig._supports_effort_level(model, level) + for level in ("low", "minimal", "medium", "high", "xhigh", "max")) def get_supported_openai_params(self, model: str): params = [ From 37ae24dbebc582180feec84afb995f2822d6d976 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Mon, 4 May 2026 21:05:25 +0000 Subject: [PATCH 138/160] refactor(anthropic,bedrock): hoist drop_params output_config warning to module constant Three call sites (anthropic chat, bedrock converse, bedrock invoke messages) emitted the same '...Effort is only supported on Opus 4.5+, Sonnet 4.6+, and Mythos Preview' warning verbatim. Extract DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING in litellm/llms/anthropic/chat/transformation.py and import it from the bedrock sites so future copy edits live in one place. Addresses Michael's review on PR #27074. Co-authored-by: Mateo Wang --- litellm/llms/anthropic/chat/transformation.py | 10 +++++++--- litellm/llms/bedrock/chat/converse_transformation.py | 5 ++--- .../anthropic_claude3_transformation.py | 9 +++++---- 3 files changed, 14 insertions(+), 10 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index de021ed0c46..00147b2ec8b 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -113,6 +113,12 @@ REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Dict[str, str] = { "max": "max", } +DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING = ( + "Dropping unsupported `output_config` for model=%s " + "(drop_params=True). Effort is only supported on Opus 4.5+, " + "Sonnet 4.6+, and Mythos Preview." +) + class AnthropicConfig(AnthropicModelInfo, BaseConfig): """ @@ -1630,9 +1636,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): return if litellm.drop_params is True and not self._model_supports_effort_param(model): litellm.verbose_logger.warning( - "Dropping unsupported `output_config` for model=%s " - "(drop_params=True). Effort is only supported on Opus 4.5+, " - "Sonnet 4.6+, and Mythos Preview.", + DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING, model, ) optional_params.pop("output_config", None) diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index dbd55e957fd..3b79d5b5db3 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -32,6 +32,7 @@ from litellm.litellm_core_utils.prompt_templates.factory import ( _bedrock_tools_pt, ) from litellm.llms.anthropic.chat.transformation import ( + DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING, REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT, AnthropicConfig, ) @@ -1282,9 +1283,7 @@ class AmazonConverseConfig(BaseConfig): and not AnthropicConfig._model_supports_effort_param(model) ): litellm.verbose_logger.warning( - "Dropping unsupported `output_config` for model=%s " - "(drop_params=True). Effort is only supported on " - "Opus 4.5+, Sonnet 4.6+, and Mythos Preview.", + DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING, model, ) else: diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py index a44d5b0ba96..aae2bc5e289 100644 --- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py @@ -16,7 +16,10 @@ import litellm from litellm.anthropic_beta_headers_manager import filter_and_transform_beta_headers from litellm.constants import BEDROCK_MIN_THINKING_BUDGET_TOKENS from litellm.litellm_core_utils.litellm_logging import verbose_logger -from litellm.llms.anthropic.chat.transformation import AnthropicConfig +from litellm.llms.anthropic.chat.transformation import ( + DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING, + AnthropicConfig, +) from litellm.llms.anthropic.common_utils import AnthropicModelInfo from litellm.llms.anthropic.experimental_pass_through.messages.transformation import ( AnthropicMessagesConfig, @@ -588,9 +591,7 @@ class AmazonAnthropicClaudeMessagesConfig( and not AnthropicConfig._model_supports_effort_param(model) ): verbose_logger.warning( - "Dropping unsupported `output_config` for model=%s " - "(drop_params=True). Effort is only supported on Opus 4.5+, " - "Sonnet 4.6+, and Mythos Preview.", + DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING, model, ) anthropic_messages_request.pop("output_config", None) From 0f04132cf865756f71bc7421eb8211f35a008616 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Mon, 4 May 2026 21:16:40 +0000 Subject: [PATCH 139/160] refactor(anthropic,bedrock,databricks): factor BadRequestError for unknown reasoning_effort Three call sites raised the same BadRequestError("Invalid reasoning_effort: ... Must be one of 'minimal', 'low', ...") block when REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT returned None: anthropic chat map_openai_params, bedrock converse _handle_reasoning_effort_parameter, and databricks chat reasoning_effort path. Extract AnthropicConfig._raise_invalid_reasoning_effort(model, value, llm_provider) so future copy edits / valid-set changes happen in one place. Typed as NoReturn so type-checkers correctly narrow control flow at call sites. Addresses Michael's review on PR #27074. Co-authored-by: Mateo Wang --- litellm/llms/anthropic/chat/transformation.py | 40 +++++++++++++++---- .../bedrock/chat/converse_transformation.py | 8 +--- .../llms/databricks/chat/transformation.py | 8 +--- 3 files changed, 36 insertions(+), 20 deletions(-) diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 00147b2ec8b..345558a69f7 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -6,6 +6,7 @@ from typing import ( Any, Dict, List, + NoReturn, Optional, Tuple, Union, @@ -291,8 +292,35 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): @staticmethod def _model_supports_effort_param(model: str) -> bool: """Whether the model accepts ``output_config.effort`` at all.""" - return any(AnthropicConfig._supports_effort_level(model, level) - for level in ("low", "minimal", "medium", "high", "xhigh", "max")) + return any( + AnthropicConfig._supports_effort_level(model, level) + for level in ("low", "minimal", "medium", "high", "xhigh", "max") + ) + + @staticmethod + def _raise_invalid_reasoning_effort( + model: str, value: Any, llm_provider: str + ) -> NoReturn: + """Raise a ``BadRequestError`` for an unrecognised ``reasoning_effort``. + + Args: + model: The model id the request was routed to (surfaced in the error). + value: The offending ``reasoning_effort`` value supplied by the caller. + llm_provider: Provider tag for the raised exception (``"anthropic"``, + ``"bedrock_converse"``, ``"databricks"``, ...). + + Raises: + litellm.exceptions.BadRequestError: Always. + """ + raise litellm.exceptions.BadRequestError( + message=( + f"Invalid reasoning_effort: {value!r}. " + f"Must be one of: 'minimal', 'low', 'medium', " + f"'high', 'xhigh', 'max', 'none'" + ), + model=model, + llm_provider=llm_provider, + ) def get_supported_openai_params(self, model: str): params = [ @@ -1203,13 +1231,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): value ) if mapped_effort is None: - raise litellm.exceptions.BadRequestError( - message=( - f"Invalid reasoning_effort: {value!r}. " - f"Must be one of: 'minimal', 'low', " - f"'medium', 'high', 'xhigh', 'max', 'none'" - ), + AnthropicConfig._raise_invalid_reasoning_effort( model=model, + value=value, llm_provider=self.custom_llm_provider or "anthropic", ) optional_params["output_config"] = {"effort": mapped_effort} diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 3b79d5b5db3..efc890d9ee2 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -442,13 +442,9 @@ class AmazonConverseConfig(BaseConfig): reasoning_effort ) if mapped_effort is None: - raise litellm.exceptions.BadRequestError( - message=( - f"Invalid reasoning_effort: {reasoning_effort!r}. " - f"Must be one of: 'minimal', 'low', 'medium', " - f"'high', 'xhigh', 'max', 'none'" - ), + AnthropicConfig._raise_invalid_reasoning_effort( model=model, + value=reasoning_effort, llm_provider="bedrock_converse", ) self._validate_anthropic_adaptive_effort( diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index fedb3d1165b..bd10e929e1e 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -352,13 +352,9 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig): reasoning_effort_value ) if mapped_effort is None: - raise litellm.exceptions.BadRequestError( - message=( - f"Invalid reasoning_effort: {reasoning_effort_value!r}. " - f"Must be one of: 'minimal', 'low', " - f"'medium', 'high', 'xhigh', 'max', 'none'" - ), + AnthropicConfig._raise_invalid_reasoning_effort( model=model, + value=reasoning_effort_value, llm_provider="databricks", ) optional_params["output_config"] = {"effort": mapped_effort} From 9f1feaadeb97161cf2d1d9c750e0f523c3b6a202 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 14:23:31 -0700 Subject: [PATCH 140/160] Clean up Redis semantic cache isolation fallback --- litellm/caching/redis_semantic_cache.py | 30 ++++++++----------- .../caching/test_redis_semantic_cache.py | 2 +- 2 files changed, 13 insertions(+), 19 deletions(-) diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py index 27538530bca..4d685c6a872 100644 --- a/litellm/caching/redis_semantic_cache.py +++ b/litellm/caching/redis_semantic_cache.py @@ -129,7 +129,11 @@ class RedisSemanticCache(BaseCache): cache_vectorizer: Any, ) -> Any: def _is_schema_mismatch(exc: ValueError) -> bool: - return "schema does not match" in str(exc) + error_message = str(exc).lower() + return any( + phrase in error_message + for phrase in ("schema does not match", "index schema") + ) try: return semantic_cache_cls( @@ -284,9 +288,7 @@ class RedisSemanticCache(BaseCache): ttl = self._get_ttl(**kwargs) if ttl is not None: store_kwargs["ttl"] = int(ttl) - self.llmcache.store(prompt, value_str, **store_kwargs) - else: - self.llmcache.store(prompt, value_str, **store_kwargs) + self.llmcache.store(prompt, value_str, **store_kwargs) except Exception as e: print_verbose( f"Error setting {value_str or value} in the Redis semantic cache: {str(e)}" @@ -439,17 +441,11 @@ class RedisSemanticCache(BaseCache): ttl = self._get_ttl(**kwargs) if ttl is not None: store_kwargs["ttl"] = ttl - await self.llmcache.astore( - prompt, - value_str, - **store_kwargs, - ) - else: - await self.llmcache.astore( - prompt, - value_str, - **store_kwargs, - ) + await self.llmcache.astore( + prompt, + value_str, + **store_kwargs, + ) except Exception as e: print_verbose(f"Error in async_set_cache: {str(e)}") @@ -489,9 +485,7 @@ class RedisSemanticCache(BaseCache): # handle results / cache hit if not results: - kwargs.setdefault("metadata", {})[ - "semantic-similarity" - ] = 0.0 # TODO why here but not above?? + kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 return None cache_hit = results[0] diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index 02b06bed62d..495c72a3803 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -195,7 +195,7 @@ def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch): fallback_cache_mock = MagicMock() semantic_cache_mock = MagicMock( side_effect=[ - ValueError("Existing index schema does not match"), + ValueError("stored index schema differs from requested fields"), fallback_cache_mock, ] ) From abbefccad41b319a2077d5330c7cfdae1964119b Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 21:27:24 +0000 Subject: [PATCH 141/160] fix(guardrails): align banned_keywords + azure_content_safety call_type gates with runtime route_type MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The hooks gated on ``call_type == "completion"`` but the proxy ingress passes ``route_type`` straight through as ``call_type`` — ``"acompletion"`` for /v1/chat/completions and ``"aresponses"`` for /v1/responses. Tests passed because they used the literal sync ``"completion"`` value, masking the gap. Switch both hooks to ``is_text_content_call_type`` (matches the canonical runtime values: completion / acompletion / aresponses) and update existing tests to assert against runtime values, plus parametrize a regression test that pins the gate. --- .../enterprise_hooks/banned_keywords.py | 8 +- litellm/proxy/guardrails/_content_utils.py | 26 +++- litellm/proxy/hooks/azure_content_safety.py | 8 +- .../guardrails/test_guardrail_coverage.py | 112 +++++++++++++++++- 4 files changed, 144 insertions(+), 10 deletions(-) diff --git a/enterprise/enterprise_hooks/banned_keywords.py b/enterprise/enterprise_hooks/banned_keywords.py index 621fde011d2..47421c96051 100644 --- a/enterprise/enterprise_hooks/banned_keywords.py +++ b/enterprise/enterprise_hooks/banned_keywords.py @@ -11,7 +11,10 @@ from typing import Literal import litellm from litellm.caching.caching import DualCache from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_message_text +from litellm.proxy.guardrails._content_utils import ( + is_text_content_call_type, + iter_message_text, +) from litellm.integrations.custom_logger import CustomLogger from litellm._logging import verbose_proxy_logger from fastapi import HTTPException @@ -74,8 +77,7 @@ class _ENTERPRISE_BannedKeywords(CustomLogger): - check if user id part of blocked list """ self.print_verbose("Inside Banned Keyword List Pre-Call Hook") - if call_type == "completion": - # Covers multimodal list content + Responses-API input. + if is_text_content_call_type(call_type): for text in iter_message_text(data): self.test_violation(test_str=text) diff --git a/litellm/proxy/guardrails/_content_utils.py b/litellm/proxy/guardrails/_content_utils.py index 8fdd8b23cb2..7cad1352a79 100644 --- a/litellm/proxy/guardrails/_content_utils.py +++ b/litellm/proxy/guardrails/_content_utils.py @@ -8,7 +8,31 @@ skip the other shapes — these helpers normalise that so every hook sees every text fragment. """ -from typing import Any, Callable, Dict, Iterator, List +from typing import Any, Callable, Dict, FrozenSet, Iterator, List + + +# Call types whose body carries free-form chat / prompt text that +# text-content guardrails (banned keywords, content moderation, secret +# detection, …) should inspect. The proxy ingress passes ``route_type`` +# straight through as ``call_type``, so the literal values here are +# what the guardrail dispatcher actually receives: +# +# /v1/chat/completions -> "acompletion" +# /v1/responses -> "aresponses" +# +# ``"completion"`` is included for SDK / internal callers that invoke +# ``pre_call_hook`` directly with the sync name. Embedding, moderation, +# audio, and transcription endpoints are deliberately excluded — text +# guardrails on those paths are a separate scope. +TEXT_CONTENT_CALL_TYPES: FrozenSet[str] = frozenset( + {"completion", "acompletion", "aresponses"} +) + + +def is_text_content_call_type(call_type: str) -> bool: + """Return True if ``call_type`` carries free-form text that text + guardrails should inspect (Chat Completions or Responses API).""" + return call_type in TEXT_CONTENT_CALL_TYPES def _iter_text_parts_in_content(content: Any) -> Iterator[str]: diff --git a/litellm/proxy/hooks/azure_content_safety.py b/litellm/proxy/hooks/azure_content_safety.py index 844bbc11af5..ddcd1540597 100644 --- a/litellm/proxy/hooks/azure_content_safety.py +++ b/litellm/proxy/hooks/azure_content_safety.py @@ -8,7 +8,10 @@ from litellm._logging import verbose_proxy_logger from litellm.caching.caching import DualCache from litellm.integrations.custom_logger import CustomLogger from litellm.proxy._types import UserAPIKeyAuth -from litellm.proxy.guardrails._content_utils import iter_message_text +from litellm.proxy.guardrails._content_utils import ( + is_text_content_call_type, + iter_message_text, +) class _PROXY_AzureContentSafety( @@ -119,8 +122,7 @@ class _PROXY_AzureContentSafety( ): verbose_proxy_logger.debug("Inside Azure Content-Safety Pre-Call Hook") try: - if call_type == "completion": - # Covers multimodal list content + Responses-API input. + if is_text_content_call_type(call_type): for text in iter_message_text(data): await self.test_violation(content=text, source="input") diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py index 329f78bf504..6def548b93f 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -433,7 +433,13 @@ async def test_lasso_masking_writes_back_responses_api_input(user_api_key, monke def test_banned_keywords_blocks_multimodal_content(monkeypatch): - """VERIA-11: a banned word hidden in a multimodal text part is now caught.""" + """VERIA-11: a banned word hidden in a multimodal text part is now caught. + + Uses ``acompletion`` — the value the proxy ingress actually passes + for ``/v1/chat/completions``. Asserting against the literal sync + ``"completion"`` would pass even if the hook's call-type gate were + misaligned with the runtime, so the test wouldn't catch regressions. + """ monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False) from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords from fastapi import HTTPException @@ -455,7 +461,7 @@ def test_banned_keywords_blocks_multimodal_content(monkeypatch): } ] }, - call_type="completion", + call_type="acompletion", ) import asyncio @@ -477,7 +483,7 @@ def test_banned_keywords_blocks_responses_api_input(monkeypatch): user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"), cache=DualCache(), data={"input": "this contains forbidden content"}, - call_type="completion", + call_type="aresponses", ) import asyncio @@ -486,6 +492,59 @@ def test_banned_keywords_blocks_responses_api_input(monkeypatch): asyncio.run(_run()) +@pytest.mark.parametrize("call_type", ["completion", "acompletion", "aresponses"]) +def test_banned_keywords_fires_on_text_content_call_types(monkeypatch, call_type): + """Locks the call-type gate to the runtime ``route_type`` values the + proxy actually emits — pinning a regression where the hook had + ``call_type == "completion"`` and silently no-op'd both + ``acompletion`` (chat completions) and ``aresponses`` (Responses API). + """ + monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False) + from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords + from fastapi import HTTPException + + guard = _ENTERPRISE_BannedKeywords() + + import asyncio + + with pytest.raises(HTTPException): + asyncio.run( + guard.async_pre_call_hook( + user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"), + cache=DualCache(), + data={ + "messages": [{"role": "user", "content": "forbidden text"}], + "input": "forbidden text", + }, + call_type=call_type, + ) + ) + + +def test_banned_keywords_skips_non_text_call_types(monkeypatch): + """Embedding / moderation / audio paths don't carry chat text and + aren't in the text-guardrail scope. They must not trigger the hook + even when the request body otherwise looks like a chat payload. + """ + monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False) + from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords + + guard = _ENTERPRISE_BannedKeywords() + + import asyncio + + for call_type in ("aembedding", "amoderation", "aspeech", "atranscription"): + # Should return without raising, even though the data carries the banned word. + asyncio.run( + guard.async_pre_call_hook( + user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"), + cache=DualCache(), + data={"input": "forbidden text"}, + call_type=call_type, + ) + ) + + @pytest.mark.asyncio async def test_banned_keywords_post_call_checks_all_choices(monkeypatch, user_api_key): """Krrish blocker: ``n>1`` responses must not bypass post-call checks by @@ -515,6 +574,53 @@ async def test_banned_keywords_post_call_checks_all_choices(monkeypatch, user_ap # ── Azure Content Safety ────────────────────────────────────────────────────── +@pytest.mark.asyncio +@pytest.mark.parametrize( + "call_type, data", + [ + ( + "acompletion", + { + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "scan me"}, + {"type": "image_url", "image_url": {"url": "..."}}, + ], + } + ] + }, + ), + ("aresponses", {"input": "scan me"}), + ], +) +async def test_azure_content_safety_pre_call_fires_on_runtime_call_types( + user_api_key, call_type, data +): + """The proxy ingress passes ``route_type`` straight through as + ``call_type`` — ``acompletion`` for chat completions and + ``aresponses`` for the Responses API. The hook must inspect text + fragments under both, not only the literal ``"completion"`` string + used by some SDK callers.""" + from litellm.proxy.hooks.azure_content_safety import _PROXY_AzureContentSafety + + guard = _PROXY_AzureContentSafety.__new__(_PROXY_AzureContentSafety) + seen = [] + + async def fake_test_violation(content, source=None): + seen.append((content, source)) + + guard.test_violation = fake_test_violation + await guard.async_pre_call_hook( + user_api_key_dict=user_api_key, + cache=DualCache(), + data=data, + call_type=call_type, + ) + assert ("scan me", "input") in seen + + @pytest.mark.asyncio async def test_azure_content_safety_post_call_checks_all_choices(user_api_key): """Krrish blocker: ``n>1`` responses must not bypass Azure Content Safety From cdd777fb214e35fbc909cb561d8b83bc132f8ff7 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Mon, 4 May 2026 14:23:05 -0700 Subject: [PATCH 142/160] fix: remove unused import --- litellm/llms/databricks/chat/transformation.py | 1 - 1 file changed, 1 deletion(-) diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py index bd10e929e1e..09c782a4755 100644 --- a/litellm/llms/databricks/chat/transformation.py +++ b/litellm/llms/databricks/chat/transformation.py @@ -21,7 +21,6 @@ from typing import ( import httpx from pydantic import BaseModel -import litellm from litellm.constants import RESPONSE_FORMAT_TOOL_NAME from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response import ( _handle_invalid_parallel_tool_calls, From af7794272b92354f267e6c05c0f0c64660356037 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 14:42:53 -0700 Subject: [PATCH 143/160] Add semantic cache legacy migration flag --- litellm/caching/qdrant_semantic_cache.py | 42 ++++++++-- litellm/caching/redis_semantic_cache.py | 82 +++++++++++++++---- .../caching/test_qdrant_semantic_cache.py | 70 ++++++++++++++++ .../caching/test_redis_semantic_cache.py | 67 ++++++++++++++- 4 files changed, 235 insertions(+), 26 deletions(-) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index 47359a60233..a9f01a4c902 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -11,7 +11,8 @@ Has 4 methods: import ast import asyncio import json -from typing import Any, cast +import os +from typing import Any, Optional, cast import litellm from litellm._logging import print_verbose @@ -26,6 +27,9 @@ from .base_cache import BaseCache class QdrantSemanticCache(BaseCache): CACHE_KEY_FIELD_NAME = "litellm_cache_key" + ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR = ( + "LITELLM_SEMANTIC_CACHE_ALLOW_LEGACY_UNSCOPED_HITS" + ) def __init__( # noqa: PLR0915 self, @@ -37,9 +41,8 @@ class QdrantSemanticCache(BaseCache): embedding_model="text-embedding-ada-002", host_type=None, vector_size=None, + allow_legacy_unscoped_cache_hits: Optional[bool] = None, ): - import os - from litellm.llms.custom_httpx.http_handler import ( _get_httpx_client, get_async_httpx_client, @@ -59,6 +62,16 @@ class QdrantSemanticCache(BaseCache): raise Exception("similarity_threshold must be provided, passed None") self.similarity_threshold = similarity_threshold self.embedding_model = embedding_model + self.allow_legacy_unscoped_cache_hits = ( + self._get_allow_legacy_unscoped_cache_hits(allow_legacy_unscoped_cache_hits) + ) + if self.allow_legacy_unscoped_cache_hits: + print_verbose( + "Qdrant semantic-cache legacy unscoped hits are enabled via " + f"{self.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR}; searches may return " + "pre-isolation cache entries without cache-key payloads. Disable " + "this after warming the key-scoped semantic cache." + ) self.vector_size = ( vector_size if vector_size is not None else QDRANT_VECTOR_SIZE ) @@ -166,6 +179,14 @@ class QdrantSemanticCache(BaseCache): else: raise Exception("Error while creating new collection") + @classmethod + def _get_allow_legacy_unscoped_cache_hits( + cls, allow_legacy_unscoped_cache_hits: Optional[bool] + ) -> bool: + if allow_legacy_unscoped_cache_hits is not None: + return allow_legacy_unscoped_cache_hits + return os.getenv(cls.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR, "").lower() == "true" + def _get_cache_logic(self, cached_response: Any): if cached_response is None: return cached_response @@ -187,6 +208,11 @@ class QdrantSemanticCache(BaseCache): ] } + def _add_cache_key_filter_to_search_data(self, data: dict, key: str) -> None: + if getattr(self, "allow_legacy_unscoped_cache_hits", False): + return + data["filter"] = self._get_qdrant_cache_key_filter(key) + def _ensure_cache_key_payload_index(self) -> None: try: response = self.sync_client.put( @@ -211,8 +237,12 @@ class QdrantSemanticCache(BaseCache): def _payload_matches_cache_key(self, payload: dict, key: str) -> bool: # Legacy Qdrant semantic-cache points stored only prompt text and # response. They cannot be reassigned to the generated LiteLLM cache key - # without risking cross-scope hits, so they must be treated as misses. + # without risking cross-scope hits, so secure mode treats them as misses. cached_key = payload.get(self.CACHE_KEY_FIELD_NAME) + if cached_key is None and getattr( + self, "allow_legacy_unscoped_cache_hits", False + ): + return True return cached_key is not None and str(cached_key) == str(key) async def _get_async_embedding(self, prompt: str, **kwargs) -> Any: @@ -329,8 +359,8 @@ class QdrantSemanticCache(BaseCache): }, "limit": 1, "with_payload": True, - "filter": self._get_qdrant_cache_key_filter(key), } + self._add_cache_key_filter_to_search_data(data=data, key=key) search_response = self.sync_client.post( url=f"{self.qdrant_api_base}/collections/{self.collection_name}/points/search", @@ -436,8 +466,8 @@ class QdrantSemanticCache(BaseCache): }, "limit": 1, "with_payload": True, - "filter": self._get_qdrant_cache_key_filter(key), } + self._add_cache_key_filter_to_search_data(data=data, key=key) search_response = await self.async_client.post( url=f"{self.qdrant_api_base}/collections/{self.collection_name}/points/search", diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py index 4d685c6a872..35fed977cca 100644 --- a/litellm/caching/redis_semantic_cache.py +++ b/litellm/caching/redis_semantic_cache.py @@ -36,10 +36,9 @@ class RedisSemanticCache(BaseCache): DEFAULT_REDIS_INDEX_NAME: str = "litellm_semantic_cache_index" CACHE_KEY_FIELD_NAME: str = "litellm_cache_key" - CACHE_KEY_FILTERABLE_FIELD: Dict[str, str] = { - "name": CACHE_KEY_FIELD_NAME, - "type": "tag", - } + ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR: str = ( + "LITELLM_SEMANTIC_CACHE_ALLOW_LEGACY_UNSCOPED_HITS" + ) def __init__( self, @@ -50,6 +49,7 @@ class RedisSemanticCache(BaseCache): similarity_threshold: Optional[float] = None, embedding_model: str = "text-embedding-ada-002", index_name: Optional[str] = None, + allow_legacy_unscoped_cache_hits: Optional[bool] = None, **kwargs, ): """ @@ -91,6 +91,10 @@ class RedisSemanticCache(BaseCache): # While similarity: 1 = most similar, 0 = least similar self.distance_threshold = 1 - similarity_threshold self.embedding_model = embedding_model + self.allow_legacy_unscoped_cache_hits = ( + self._get_allow_legacy_unscoped_cache_hits(allow_legacy_unscoped_cache_hits) + ) + self._using_legacy_unscoped_index = False # Set up Redis connection if redis_url is None: @@ -121,6 +125,21 @@ class RedisSemanticCache(BaseCache): cache_vectorizer=cache_vectorizer, ) + @classmethod + def _get_allow_legacy_unscoped_cache_hits( + cls, allow_legacy_unscoped_cache_hits: Optional[bool] + ) -> bool: + if allow_legacy_unscoped_cache_hits is not None: + return allow_legacy_unscoped_cache_hits + return os.getenv(cls.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR, "").lower() == "true" + + @classmethod + def _cache_key_filterable_field(cls) -> Dict[str, str]: + return { + "name": cls.CACHE_KEY_FIELD_NAME, + "type": "tag", + } + def _init_semantic_cache( self, semantic_cache_cls: Any, @@ -141,13 +160,29 @@ class RedisSemanticCache(BaseCache): redis_url=redis_url, vectorizer=cache_vectorizer, distance_threshold=self.distance_threshold, - filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + filterable_fields=[self._cache_key_filterable_field()], overwrite=False, ) except ValueError as exc: if not _is_schema_mismatch(exc): raise + if self.allow_legacy_unscoped_cache_hits: + self._using_legacy_unscoped_index = True + print_verbose( + "Redis semantic-cache legacy unscoped hits are enabled via " + f"{self.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR}; reusing existing " + "index without cache-key isolation. Disable this after warming " + "the isolated semantic cache." + ) + return semantic_cache_cls( + name=index_name, + redis_url=redis_url, + vectorizer=cache_vectorizer, + distance_threshold=self.distance_threshold, + overwrite=False, + ) + isolated_index_name = f"{index_name}_isolated" print_verbose( "Redis semantic-cache existing index schema is not isolated; " @@ -159,7 +194,7 @@ class RedisSemanticCache(BaseCache): redis_url=redis_url, vectorizer=cache_vectorizer, distance_threshold=self.distance_threshold, - filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + filterable_fields=[self._cache_key_filterable_field()], overwrite=False, ) except ValueError as isolated_exc: @@ -175,7 +210,7 @@ class RedisSemanticCache(BaseCache): redis_url=redis_url, vectorizer=cache_vectorizer, distance_threshold=self.distance_threshold, - filterable_fields=[self.CACHE_KEY_FILTERABLE_FIELD], + filterable_fields=[self._cache_key_filterable_field()], overwrite=True, ) @@ -191,6 +226,8 @@ class RedisSemanticCache(BaseCache): cached_key = cache_hit.get(self.CACHE_KEY_FIELD_NAME) if isinstance(cached_key, bytes): cached_key = cached_key.decode("utf-8") + if cached_key is None and getattr(self, "_using_legacy_unscoped_index", False): + return True return cached_key is not None and str(cached_key) == str(key) def _get_ttl(self, **kwargs) -> Optional[int]: @@ -282,7 +319,9 @@ class RedisSemanticCache(BaseCache): prompt = get_str_from_messages(messages) value_str = str(value) - store_kwargs: Dict[str, Any] = {"filters": self._get_cache_filters(key)} + store_kwargs: Dict[str, Any] = {} + if not getattr(self, "_using_legacy_unscoped_index", False): + store_kwargs["filters"] = self._get_cache_filters(key) # Get TTL and store in Redis semantic cache ttl = self._get_ttl(**kwargs) @@ -318,10 +357,12 @@ class RedisSemanticCache(BaseCache): prompt = get_str_from_messages(messages) # Check the cache for semantically similar prompts in this exact # LiteLLM cache-key scope. - results = self.llmcache.check( - prompt=prompt, - filter_expression=self._get_cache_key_filter_expression(key), - ) + check_kwargs: Dict[str, Any] = {"prompt": prompt} + if not getattr(self, "_using_legacy_unscoped_index", False): + check_kwargs["filter_expression"] = ( + self._get_cache_key_filter_expression(key) + ) + results = self.llmcache.check(**check_kwargs) # Return None if no similar prompts found if not results: @@ -434,8 +475,9 @@ class RedisSemanticCache(BaseCache): store_kwargs: Dict[str, Any] = { "vector": prompt_embedding, - "filters": self._get_cache_filters(key), } + if not getattr(self, "_using_legacy_unscoped_index", False): + store_kwargs["filters"] = self._get_cache_filters(key) # Get TTL and store in Redis semantic cache ttl = self._get_ttl(**kwargs) @@ -477,11 +519,15 @@ class RedisSemanticCache(BaseCache): # Check the cache for semantically similar prompts in this exact # LiteLLM cache-key scope. - results = await self.llmcache.acheck( - prompt=prompt, - vector=prompt_embedding, - filter_expression=self._get_cache_key_filter_expression(key), - ) + check_kwargs: Dict[str, Any] = { + "prompt": prompt, + "vector": prompt_embedding, + } + if not getattr(self, "_using_legacy_unscoped_index", False): + check_kwargs["filter_expression"] = ( + self._get_cache_key_filter_expression(key) + ) + results = await self.llmcache.acheck(**check_kwargs) # handle results / cache hit if not results: diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index 949e6ccc292..9b987a6d4fc 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -208,6 +208,76 @@ def test_qdrant_semantic_cache_rejects_unscoped_cache_hit(): assert metadata["semantic-similarity"] == 0.0 +def test_qdrant_semantic_cache_allows_legacy_unscoped_hit_with_flag(monkeypatch): + monkeypatch.setenv("LITELLM_SEMANTIC_CACHE_ALLOW_LEGACY_UNSCOPED_HITS", "true") + + with ( + patch( + "litellm.llms.custom_httpx.http_handler._get_httpx_client" + ) as mock_sync_client, + patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), + ): + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"result": {"exists": True}} + + mock_sync_client_instance = MagicMock() + mock_sync_client_instance.get.return_value = mock_response + mock_sync_client.return_value = mock_sync_client_instance + + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache = QdrantSemanticCache( + collection_name="test_collection", + qdrant_api_base="http://test.qdrant.local", + qdrant_api_key="test_key", + similarity_threshold=0.8, + ) + + mock_search_response = MagicMock() + mock_search_response.status_code = 200 + mock_search_response.json.return_value = { + "result": [ + { + "payload": { + "text": "What is the capital of France?", + "response": '{"id": "test-123"}', + }, + "score": 0.9, + } + ] + } + qdrant_cache.sync_client.post = MagicMock(return_value=mock_search_response) + + with patch( + "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} + ): + metadata = {} + result = qdrant_cache.get_cache( + key="test_key", + messages=[{"content": "What is the capital of France?"}], + metadata=metadata, + ) + + assert result == {"id": "test-123"} + assert metadata["semantic-similarity"] == 0.9 + assert "filter" not in qdrant_cache.sync_client.post.call_args.kwargs["json"] + + +def test_qdrant_semantic_cache_legacy_mode_rejects_wrong_key_hit(): + from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache + + qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache) + qdrant_cache.allow_legacy_unscoped_cache_hits = True + + assert qdrant_cache._payload_matches_cache_key(payload={}, key="test_key") + assert not qdrant_cache._payload_matches_cache_key( + payload={QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "other_key"}, + key="test_key", + ) + + def test_qdrant_semantic_cache_payload_index_failure_is_non_blocking(): from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index 495c72a3803..bebe1f757b5 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -228,10 +228,50 @@ def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch): == "existing_index_isolated" ) assert semantic_cache_mock.call_args_list[1].kwargs["filterable_fields"] == [ - RedisSemanticCache.CACHE_KEY_FILTERABLE_FIELD + RedisSemanticCache._cache_key_filterable_field() ] +def test_redis_semantic_cache_can_reuse_legacy_unscoped_index(monkeypatch): + fallback_cache_mock = MagicMock() + semantic_cache_mock = MagicMock( + side_effect=[ + ValueError("Existing index schema does not match"), + fallback_cache_mock, + ] + ) + custom_vectorizer_mock = MagicMock() + + with patch.dict( + "sys.modules", + { + "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), + "redisvl.utils.vectorize": MagicMock( + CustomTextVectorizer=custom_vectorizer_mock + ), + }, + ): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + monkeypatch.setenv("REDIS_HOST", "localhost") + monkeypatch.setenv("REDIS_PORT", "6379") + monkeypatch.setenv("REDIS_PASSWORD", "test_password") + monkeypatch.setenv( + RedisSemanticCache.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR, "true" + ) + + redis_semantic_cache = RedisSemanticCache( + similarity_threshold=0.8, + index_name="existing_index", + ) + + assert redis_semantic_cache.llmcache is fallback_cache_mock + assert redis_semantic_cache._using_legacy_unscoped_index is True + assert semantic_cache_mock.call_count == 2 + assert semantic_cache_mock.call_args_list[1].kwargs["name"] == "existing_index" + assert "filterable_fields" not in semantic_cache_mock.call_args_list[1].kwargs + + def test_redis_semantic_cache_overwrites_stale_isolated_index(monkeypatch): fallback_cache_mock = MagicMock() semantic_cache_mock = MagicMock( @@ -270,7 +310,7 @@ def test_redis_semantic_cache_overwrites_stale_isolated_index(monkeypatch): ) assert semantic_cache_mock.call_args_list[2].kwargs["overwrite"] is True assert semantic_cache_mock.call_args_list[2].kwargs["filterable_fields"] == [ - RedisSemanticCache.CACHE_KEY_FILTERABLE_FIELD + RedisSemanticCache._cache_key_filterable_field() ] @@ -332,6 +372,29 @@ def test_redis_semantic_cache_matches_bytes_cache_key(): ) +def test_redis_semantic_cache_allows_unscoped_hit_only_in_legacy_mode(): + from litellm.caching.redis_semantic_cache import RedisSemanticCache + + redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache) + redis_semantic_cache._using_legacy_unscoped_index = False + + cache_hit = { + "prompt": "What is the capital of France?", + "response": '{"content": "Paris"}', + "vector_distance": 0.1, + } + assert not redis_semantic_cache._cache_hit_matches_key( + cache_hit=cache_hit, + key="test_key", + ) + + redis_semantic_cache._using_legacy_unscoped_index = True + assert redis_semantic_cache._cache_hit_matches_key( + cache_hit=cache_hit, + key="test_key", + ) + + def test_redis_semantic_cache_builds_filter_expression(monkeypatch): class FakeTag: def __init__(self, field_name): From 28bf4647ef26b6dabc01961b55a135109bc37faa Mon Sep 17 00:00:00 2001 From: Michael Riad Zaky Date: Mon, 4 May 2026 14:44:27 -0700 Subject: [PATCH 144/160] Treat 0 team_member_budget as no cap --- litellm/proxy/auth/auth_checks.py | 8 +- .../proxy/auth/test_auth_checks.py | 126 ++++++++++++++++++ 2 files changed, 133 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index 754488367e2..1b6bd3aff21 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -3547,7 +3547,13 @@ async def _check_team_member_budget( prisma_client=prisma_client, user_api_key_cache=user_api_key_cache, ) - if default_budget is not None: + # Treat 0 on the team default as "no cap". + # Per-member rows still respect 0 as an explicit admin disable. + if ( + default_budget is not None + and default_budget.max_budget is not None + and default_budget.max_budget > 0 + ): team_member_budget = default_budget.max_budget if team_member_budget is not None: diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py index 5dedf05215b..3433e3e6d85 100644 --- a/tests/test_litellm/proxy/auth/test_auth_checks.py +++ b/tests/test_litellm/proxy/auth/test_auth_checks.py @@ -2562,3 +2562,129 @@ async def test_team_member_budget_check_null_clone_with_null_default_skips_enfor user_api_key_cache=DualCache(), proxy_logging_obj=proxy_logging_obj, ) + + +@pytest.mark.asyncio +async def test_team_member_budget_check_zero_team_default_treated_as_no_cap(): + """A team default budget with max_budget=0.0 (likely a stale/accidental + write) must not block every member. The fallback path treats 0 as + "no cap"; per-member rows still respect 0 as an explicit disable.""" + from litellm.caching.dual_cache import DualCache + from litellm.proxy._types import LiteLLM_TeamMembership + from litellm.proxy.utils import ProxyLogging + + team_object = LiteLLM_TeamTable( + team_id="test-team", + metadata={"team_member_budget_id": "budget-default"}, + ) + user_object = LiteLLM_UserTable(user_id="test-user") + valid_token = UserAPIKeyAuth( + token="test-token", + user_id="test-user", + team_id="test-team", + ) + + # No per-member row -> falls through to team default. + team_membership = LiteLLM_TeamMembership( + user_id="test-user", + team_id="test-team", + spend=0.0, + budget_id=None, + litellm_budget_table=None, + ) + + proxy_logging_obj = ProxyLogging(user_api_key_cache=None) + + # Team default budget row with max_budget=0.0 (the regression trigger). + fake_default_row = MagicMock() + fake_default_row.max_budget = 0.0 + fake_default_row.dict = MagicMock( + return_value={"budget_id": "budget-default", "max_budget": 0.0} + ) + + prisma_client = MagicMock() + prisma_client.db.litellm_budgettable.find_unique = AsyncMock( + return_value=fake_default_row + ) + + async def mock_get_current_spend(counter_key, fallback_spend): + if counter_key == "spend:team_member:test-user:test-team": + return 0.0 + return fallback_spend + + with ( + patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend), + patch( + "litellm.proxy.auth.auth_checks.get_team_membership", + new_callable=AsyncMock, + return_value=team_membership, + ), + ): + # No raise: 0.0 cap is treated as "no cap configured". + await _check_team_member_budget( + team_object=team_object, + user_object=user_object, + valid_token=valid_token, + prisma_client=prisma_client, + user_api_key_cache=DualCache(), + proxy_logging_obj=proxy_logging_obj, + ) + + +@pytest.mark.asyncio +async def test_team_member_budget_check_zero_per_member_row_still_blocks(): + """A per-member row with max_budget=0.0 is treated as an explicit admin + disable - enforcement still blocks. Only the team-default fallback + path treats 0 as no cap.""" + from litellm.caching.dual_cache import DualCache + from litellm.proxy._types import LiteLLM_BudgetTable, LiteLLM_TeamMembership + from litellm.proxy.utils import ProxyLogging + + team_object = LiteLLM_TeamTable( + team_id="test-team", + metadata={"team_member_budget_id": "budget-default"}, + ) + user_object = LiteLLM_UserTable(user_id="test-user") + valid_token = UserAPIKeyAuth( + token="test-token", + user_id="test-user", + team_id="test-team", + ) + + # Per-member row with max_budget=0.0 - admin intent: disable this user. + team_membership = LiteLLM_TeamMembership( + user_id="test-user", + team_id="test-team", + spend=0.0, + budget_id="budget-disable", + litellm_budget_table=LiteLLM_BudgetTable(max_budget=0.0), + ) + + proxy_logging_obj = ProxyLogging(user_api_key_cache=None) + + prisma_client = MagicMock() + prisma_client.db.litellm_budgettable.find_unique = AsyncMock(return_value=None) + + async def mock_get_current_spend(counter_key, fallback_spend): + if counter_key == "spend:team_member:test-user:test-team": + return 0.0 + return fallback_spend + + with ( + patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend), + patch( + "litellm.proxy.auth.auth_checks.get_team_membership", + new_callable=AsyncMock, + return_value=team_membership, + ), + ): + with pytest.raises(litellm.BudgetExceededError) as exc_info: + await _check_team_member_budget( + team_object=team_object, + user_object=user_object, + valid_token=valid_token, + prisma_client=prisma_client, + user_api_key_cache=DualCache(), + proxy_logging_obj=proxy_logging_obj, + ) + assert exc_info.value.max_budget == 0.0 From 7d7244986ed242e6807142ee2559ddf64d7b5c6f Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 22:10:59 +0000 Subject: [PATCH 145/160] chore(caching): annotate qdrant quantization_params dict type Mypy infers the dict's value type from the first branch (Dict[str, bool]) which clashes with the scalar branch's mixed-type inner dict. Explicit Dict[str, Any] annotation lifts the inference. --- litellm/caching/qdrant_semantic_cache.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index a9f01a4c902..9206f326ecd 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -12,7 +12,7 @@ import ast import asyncio import json import os -from typing import Any, Optional, cast +from typing import Any, Dict, Optional, cast import litellm from litellm._logging import print_verbose @@ -135,6 +135,7 @@ class QdrantSemanticCache(BaseCache): ) self._ensure_cache_key_payload_index() else: + quantization_params: Dict[str, Any] if quantization_config is None or quantization_config == "binary": quantization_params = { "binary": { From a2473ef0c23275bbfcee6a1a35cda684cf522492 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 22:16:30 +0000 Subject: [PATCH 146/160] chore(caching): remove allow_legacy_unscoped_cache_hits opt-in MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The flag was an opt-in escape hatch for the cross-tenant leak the rest of the patch closes — flipping it on (env var or constructor param) re-enables exactly the VERIA-54 primitive on either backend. There is no operational need that the secure path doesn't already meet: - Qdrant: legacy points without ``litellm_cache_key`` payload are excluded by the must-clause filter and treated as misses; new sets populate the cache key, so cold-start lasts only as long as the natural cache rebuild. - Redis: existing unscoped index can't carry the new schema; the init path falls back to ``{name}_isolated`` (and recreates it on stale schema), leaving the legacy index untouched. Drop the constructor param, env-var fallback, ``_using_legacy_unscoped_index`` flag, the legacy-reuse branch in ``_init_semantic_cache``, and the matching guards in set/get paths. Update tests to drop the legacy-mode cases and assert the secure-only behaviour. --- litellm/caching/qdrant_semantic_cache.py | 37 ++-------- litellm/caching/redis_semantic_cache.py | 59 +++------------- .../caching/test_qdrant_semantic_cache.py | 70 ------------------- .../caching/test_redis_semantic_cache.py | 51 +------------- 4 files changed, 19 insertions(+), 198 deletions(-) diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py index 9206f326ecd..cb521efca05 100644 --- a/litellm/caching/qdrant_semantic_cache.py +++ b/litellm/caching/qdrant_semantic_cache.py @@ -12,7 +12,7 @@ import ast import asyncio import json import os -from typing import Any, Dict, Optional, cast +from typing import Any, Dict, cast import litellm from litellm._logging import print_verbose @@ -27,9 +27,6 @@ from .base_cache import BaseCache class QdrantSemanticCache(BaseCache): CACHE_KEY_FIELD_NAME = "litellm_cache_key" - ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR = ( - "LITELLM_SEMANTIC_CACHE_ALLOW_LEGACY_UNSCOPED_HITS" - ) def __init__( # noqa: PLR0915 self, @@ -41,7 +38,6 @@ class QdrantSemanticCache(BaseCache): embedding_model="text-embedding-ada-002", host_type=None, vector_size=None, - allow_legacy_unscoped_cache_hits: Optional[bool] = None, ): from litellm.llms.custom_httpx.http_handler import ( _get_httpx_client, @@ -62,16 +58,6 @@ class QdrantSemanticCache(BaseCache): raise Exception("similarity_threshold must be provided, passed None") self.similarity_threshold = similarity_threshold self.embedding_model = embedding_model - self.allow_legacy_unscoped_cache_hits = ( - self._get_allow_legacy_unscoped_cache_hits(allow_legacy_unscoped_cache_hits) - ) - if self.allow_legacy_unscoped_cache_hits: - print_verbose( - "Qdrant semantic-cache legacy unscoped hits are enabled via " - f"{self.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR}; searches may return " - "pre-isolation cache entries without cache-key payloads. Disable " - "this after warming the key-scoped semantic cache." - ) self.vector_size = ( vector_size if vector_size is not None else QDRANT_VECTOR_SIZE ) @@ -180,14 +166,6 @@ class QdrantSemanticCache(BaseCache): else: raise Exception("Error while creating new collection") - @classmethod - def _get_allow_legacy_unscoped_cache_hits( - cls, allow_legacy_unscoped_cache_hits: Optional[bool] - ) -> bool: - if allow_legacy_unscoped_cache_hits is not None: - return allow_legacy_unscoped_cache_hits - return os.getenv(cls.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR, "").lower() == "true" - def _get_cache_logic(self, cached_response: Any): if cached_response is None: return cached_response @@ -210,8 +188,6 @@ class QdrantSemanticCache(BaseCache): } def _add_cache_key_filter_to_search_data(self, data: dict, key: str) -> None: - if getattr(self, "allow_legacy_unscoped_cache_hits", False): - return data["filter"] = self._get_qdrant_cache_key_filter(key) def _ensure_cache_key_payload_index(self) -> None: @@ -236,14 +212,11 @@ class QdrantSemanticCache(BaseCache): ) def _payload_matches_cache_key(self, payload: dict, key: str) -> bool: - # Legacy Qdrant semantic-cache points stored only prompt text and - # response. They cannot be reassigned to the generated LiteLLM cache key - # without risking cross-scope hits, so secure mode treats them as misses. + # Pre-isolation points stored only prompt + response with no cache-key + # payload field. Reassigning them to a caller's key would risk + # cross-scope hits, so they're treated as misses and re-populated on + # the next set_cache. cached_key = payload.get(self.CACHE_KEY_FIELD_NAME) - if cached_key is None and getattr( - self, "allow_legacy_unscoped_cache_hits", False - ): - return True return cached_key is not None and str(cached_key) == str(key) async def _get_async_embedding(self, prompt: str, **kwargs) -> Any: diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py index 35fed977cca..da9e7b1e587 100644 --- a/litellm/caching/redis_semantic_cache.py +++ b/litellm/caching/redis_semantic_cache.py @@ -36,9 +36,6 @@ class RedisSemanticCache(BaseCache): DEFAULT_REDIS_INDEX_NAME: str = "litellm_semantic_cache_index" CACHE_KEY_FIELD_NAME: str = "litellm_cache_key" - ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR: str = ( - "LITELLM_SEMANTIC_CACHE_ALLOW_LEGACY_UNSCOPED_HITS" - ) def __init__( self, @@ -49,7 +46,6 @@ class RedisSemanticCache(BaseCache): similarity_threshold: Optional[float] = None, embedding_model: str = "text-embedding-ada-002", index_name: Optional[str] = None, - allow_legacy_unscoped_cache_hits: Optional[bool] = None, **kwargs, ): """ @@ -91,10 +87,6 @@ class RedisSemanticCache(BaseCache): # While similarity: 1 = most similar, 0 = least similar self.distance_threshold = 1 - similarity_threshold self.embedding_model = embedding_model - self.allow_legacy_unscoped_cache_hits = ( - self._get_allow_legacy_unscoped_cache_hits(allow_legacy_unscoped_cache_hits) - ) - self._using_legacy_unscoped_index = False # Set up Redis connection if redis_url is None: @@ -125,14 +117,6 @@ class RedisSemanticCache(BaseCache): cache_vectorizer=cache_vectorizer, ) - @classmethod - def _get_allow_legacy_unscoped_cache_hits( - cls, allow_legacy_unscoped_cache_hits: Optional[bool] - ) -> bool: - if allow_legacy_unscoped_cache_hits is not None: - return allow_legacy_unscoped_cache_hits - return os.getenv(cls.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR, "").lower() == "true" - @classmethod def _cache_key_filterable_field(cls) -> Dict[str, str]: return { @@ -167,22 +151,6 @@ class RedisSemanticCache(BaseCache): if not _is_schema_mismatch(exc): raise - if self.allow_legacy_unscoped_cache_hits: - self._using_legacy_unscoped_index = True - print_verbose( - "Redis semantic-cache legacy unscoped hits are enabled via " - f"{self.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR}; reusing existing " - "index without cache-key isolation. Disable this after warming " - "the isolated semantic cache." - ) - return semantic_cache_cls( - name=index_name, - redis_url=redis_url, - vectorizer=cache_vectorizer, - distance_threshold=self.distance_threshold, - overwrite=False, - ) - isolated_index_name = f"{index_name}_isolated" print_verbose( "Redis semantic-cache existing index schema is not isolated; " @@ -223,11 +191,11 @@ class RedisSemanticCache(BaseCache): return Tag(self.CACHE_KEY_FIELD_NAME) == str(key) def _cache_hit_matches_key(self, cache_hit: Dict[str, Any], key: str) -> bool: + # Pre-isolation entries with no ``litellm_cache_key`` field cannot be + # safely reassigned to a caller's scope and are treated as misses. cached_key = cache_hit.get(self.CACHE_KEY_FIELD_NAME) if isinstance(cached_key, bytes): cached_key = cached_key.decode("utf-8") - if cached_key is None and getattr(self, "_using_legacy_unscoped_index", False): - return True return cached_key is not None and str(cached_key) == str(key) def _get_ttl(self, **kwargs) -> Optional[int]: @@ -319,9 +287,9 @@ class RedisSemanticCache(BaseCache): prompt = get_str_from_messages(messages) value_str = str(value) - store_kwargs: Dict[str, Any] = {} - if not getattr(self, "_using_legacy_unscoped_index", False): - store_kwargs["filters"] = self._get_cache_filters(key) + store_kwargs: Dict[str, Any] = { + "filters": self._get_cache_filters(key), + } # Get TTL and store in Redis semantic cache ttl = self._get_ttl(**kwargs) @@ -357,11 +325,10 @@ class RedisSemanticCache(BaseCache): prompt = get_str_from_messages(messages) # Check the cache for semantically similar prompts in this exact # LiteLLM cache-key scope. - check_kwargs: Dict[str, Any] = {"prompt": prompt} - if not getattr(self, "_using_legacy_unscoped_index", False): - check_kwargs["filter_expression"] = ( - self._get_cache_key_filter_expression(key) - ) + check_kwargs: Dict[str, Any] = { + "prompt": prompt, + "filter_expression": self._get_cache_key_filter_expression(key), + } results = self.llmcache.check(**check_kwargs) # Return None if no similar prompts found @@ -475,9 +442,8 @@ class RedisSemanticCache(BaseCache): store_kwargs: Dict[str, Any] = { "vector": prompt_embedding, + "filters": self._get_cache_filters(key), } - if not getattr(self, "_using_legacy_unscoped_index", False): - store_kwargs["filters"] = self._get_cache_filters(key) # Get TTL and store in Redis semantic cache ttl = self._get_ttl(**kwargs) @@ -522,11 +488,8 @@ class RedisSemanticCache(BaseCache): check_kwargs: Dict[str, Any] = { "prompt": prompt, "vector": prompt_embedding, + "filter_expression": self._get_cache_key_filter_expression(key), } - if not getattr(self, "_using_legacy_unscoped_index", False): - check_kwargs["filter_expression"] = ( - self._get_cache_key_filter_expression(key) - ) results = await self.llmcache.acheck(**check_kwargs) # handle results / cache hit diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py index 9b987a6d4fc..949e6ccc292 100644 --- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py +++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py @@ -208,76 +208,6 @@ def test_qdrant_semantic_cache_rejects_unscoped_cache_hit(): assert metadata["semantic-similarity"] == 0.0 -def test_qdrant_semantic_cache_allows_legacy_unscoped_hit_with_flag(monkeypatch): - monkeypatch.setenv("LITELLM_SEMANTIC_CACHE_ALLOW_LEGACY_UNSCOPED_HITS", "true") - - with ( - patch( - "litellm.llms.custom_httpx.http_handler._get_httpx_client" - ) as mock_sync_client, - patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"), - ): - - mock_response = MagicMock() - mock_response.status_code = 200 - mock_response.json.return_value = {"result": {"exists": True}} - - mock_sync_client_instance = MagicMock() - mock_sync_client_instance.get.return_value = mock_response - mock_sync_client.return_value = mock_sync_client_instance - - from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache - - qdrant_cache = QdrantSemanticCache( - collection_name="test_collection", - qdrant_api_base="http://test.qdrant.local", - qdrant_api_key="test_key", - similarity_threshold=0.8, - ) - - mock_search_response = MagicMock() - mock_search_response.status_code = 200 - mock_search_response.json.return_value = { - "result": [ - { - "payload": { - "text": "What is the capital of France?", - "response": '{"id": "test-123"}', - }, - "score": 0.9, - } - ] - } - qdrant_cache.sync_client.post = MagicMock(return_value=mock_search_response) - - with patch( - "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]} - ): - metadata = {} - result = qdrant_cache.get_cache( - key="test_key", - messages=[{"content": "What is the capital of France?"}], - metadata=metadata, - ) - - assert result == {"id": "test-123"} - assert metadata["semantic-similarity"] == 0.9 - assert "filter" not in qdrant_cache.sync_client.post.call_args.kwargs["json"] - - -def test_qdrant_semantic_cache_legacy_mode_rejects_wrong_key_hit(): - from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache - - qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache) - qdrant_cache.allow_legacy_unscoped_cache_hits = True - - assert qdrant_cache._payload_matches_cache_key(payload={}, key="test_key") - assert not qdrant_cache._payload_matches_cache_key( - payload={QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "other_key"}, - key="test_key", - ) - - def test_qdrant_semantic_cache_payload_index_failure_is_non_blocking(): from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py index bebe1f757b5..b50a35ef50e 100644 --- a/tests/test_litellm/caching/test_redis_semantic_cache.py +++ b/tests/test_litellm/caching/test_redis_semantic_cache.py @@ -232,46 +232,6 @@ def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch): ] -def test_redis_semantic_cache_can_reuse_legacy_unscoped_index(monkeypatch): - fallback_cache_mock = MagicMock() - semantic_cache_mock = MagicMock( - side_effect=[ - ValueError("Existing index schema does not match"), - fallback_cache_mock, - ] - ) - custom_vectorizer_mock = MagicMock() - - with patch.dict( - "sys.modules", - { - "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock), - "redisvl.utils.vectorize": MagicMock( - CustomTextVectorizer=custom_vectorizer_mock - ), - }, - ): - from litellm.caching.redis_semantic_cache import RedisSemanticCache - - monkeypatch.setenv("REDIS_HOST", "localhost") - monkeypatch.setenv("REDIS_PORT", "6379") - monkeypatch.setenv("REDIS_PASSWORD", "test_password") - monkeypatch.setenv( - RedisSemanticCache.ALLOW_LEGACY_UNSCOPED_HITS_ENV_VAR, "true" - ) - - redis_semantic_cache = RedisSemanticCache( - similarity_threshold=0.8, - index_name="existing_index", - ) - - assert redis_semantic_cache.llmcache is fallback_cache_mock - assert redis_semantic_cache._using_legacy_unscoped_index is True - assert semantic_cache_mock.call_count == 2 - assert semantic_cache_mock.call_args_list[1].kwargs["name"] == "existing_index" - assert "filterable_fields" not in semantic_cache_mock.call_args_list[1].kwargs - - def test_redis_semantic_cache_overwrites_stale_isolated_index(monkeypatch): fallback_cache_mock = MagicMock() semantic_cache_mock = MagicMock( @@ -372,11 +332,12 @@ def test_redis_semantic_cache_matches_bytes_cache_key(): ) -def test_redis_semantic_cache_allows_unscoped_hit_only_in_legacy_mode(): +def test_redis_semantic_cache_rejects_pre_isolation_unscoped_hit(): + """Pre-isolation entries with no cache-key field cannot be safely + reassigned to a caller's scope and are treated as misses.""" from litellm.caching.redis_semantic_cache import RedisSemanticCache redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache) - redis_semantic_cache._using_legacy_unscoped_index = False cache_hit = { "prompt": "What is the capital of France?", @@ -388,12 +349,6 @@ def test_redis_semantic_cache_allows_unscoped_hit_only_in_legacy_mode(): key="test_key", ) - redis_semantic_cache._using_legacy_unscoped_index = True - assert redis_semantic_cache._cache_hit_matches_key( - cache_hit=cache_hit, - key="test_key", - ) - def test_redis_semantic_cache_builds_filter_expression(monkeypatch): class FakeTag: From 4fa577810ba1c6b3258e4242bd662e72b8ea7e8c Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 22:43:18 +0000 Subject: [PATCH 147/160] fix(container): keep ownership-filter exceptions out of the LLM-error path filter_container_list_response runs after the upstream call has already succeeded; treating an ownership-lookup failure as an LLM-API error fires post_call_failure_hook for a successful upstream call and returns a misleading provider-shaped error to the client. Run the filter outside the try/except so genuine LLM errors stay scoped to the upstream call. --- litellm/proxy/container_endpoints/endpoints.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py index 7e097802632..9650604bf81 100644 --- a/litellm/proxy/container_endpoints/endpoints.py +++ b/litellm/proxy/container_endpoints/endpoints.py @@ -241,11 +241,6 @@ async def list_containers( user_api_base=user_api_base, version=version, ) - return await filter_container_list_response( - response=response, - user_api_key_dict=user_api_key_dict, - custom_llm_provider=custom_llm_provider, - ) except Exception as e: raise await processor._handle_llm_api_exception( e=e, @@ -254,6 +249,16 @@ async def list_containers( version=version, ) + # Ownership filtering runs OUTSIDE the LLM-exception scope: a DB error + # in the ownership lookup is not an LLM-API error and shouldn't be + # translated to a provider-shaped failure (which would also fire the + # post_call_failure_hook for what is in fact a successful upstream call). + return await filter_container_list_response( + response=response, + user_api_key_dict=user_api_key_dict, + custom_llm_provider=custom_llm_provider, + ) + @router.get( "/v1/containers/{container_id}", From ec9b84d38c7053be561d387f03b33207482e4eb9 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 22:52:54 +0000 Subject: [PATCH 148/160] chore(container,skills): LRU eviction for owner caches; widen file_purpose Literal Two cleanups from the /simplify pass: * ``_CONTAINER_OWNER_CACHE`` and ``_SKILL_CACHE`` now LRU-evict via ``OrderedDict.popitem(last=False)`` instead of full ``clear()`` at capacity. Full clears converted a steady-state cached workload into a periodic full-DB-load oscillation as the cache repopulated from zero and cleared again. Reads now ``move_to_end`` so the just-touched entry survives the next eviction. Mirrors the pre-existing LRU pattern in ``_remember_container_owner``. * ``LiteLLM_ManagedObjectTable.file_purpose`` Literal now includes ``"container"`` so Pydantic validation accepts rows written by the ownership store. --- litellm/llms/litellm_proxy/skills/handler.py | 12 ++++++++--- litellm/proxy/_types.py | 2 +- .../proxy/container_endpoints/ownership.py | 18 ++++++++++++----- .../test_container_proxy_ownership.py | 20 ++++++++++++++++--- .../litellm_proxy/test_skills_ownership.py | 3 ++- 5 files changed, 42 insertions(+), 13 deletions(-) diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 7a6dbb175fb..e5caf3cffc7 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -8,6 +8,7 @@ Used by the transformation layer and skills injection hook. import os import time import uuid +from collections import OrderedDict from typing import Any, Dict, List, Optional, Tuple from litellm._logging import verbose_logger @@ -28,7 +29,7 @@ ALLOW_UNOWNED_SKILL_ACCESS_ENV = "LITELLM_ALLOW_UNOWNED_SKILL_ACCESS" # round-trip per request. Same shape as `_byok_cred_cache` and the container # ownership cache: (value, monotonic_timestamp). `None` is cached as a true # negative ("skill does not exist") so repeated misses also avoid the DB. -_SKILL_CACHE: Dict[str, Tuple[Optional[Any], float]] = {} +_SKILL_CACHE: "OrderedDict[str, Tuple[Optional[Any], float]]" = OrderedDict() _SKILL_CACHE_TTL = 60 # seconds _SKILL_CACHE_MAX_SIZE = 10000 @@ -42,13 +43,18 @@ def _read_skill_cache(skill_id: str) -> Tuple[bool, Optional[Any]]: if time.monotonic() - timestamp > _SKILL_CACHE_TTL: _SKILL_CACHE.pop(skill_id, None) return False, None + _SKILL_CACHE.move_to_end(skill_id) return True, value def _write_skill_cache(skill_id: str, skill: Optional[Any]) -> None: - if len(_SKILL_CACHE) >= _SKILL_CACHE_MAX_SIZE: - _SKILL_CACHE.clear() + # LRU eviction (popitem(last=False)) instead of full ``clear()`` — + # see container ownership cache for rationale. + if skill_id in _SKILL_CACHE: + _SKILL_CACHE.move_to_end(skill_id) _SKILL_CACHE[skill_id] = (skill, time.monotonic()) + while len(_SKILL_CACHE) > _SKILL_CACHE_MAX_SIZE: + _SKILL_CACHE.popitem(last=False) def _invalidate_skill_cache(skill_id: str) -> None: diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 3cca23f07ab..df0a2bcee5f 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -4609,7 +4609,7 @@ class LiteLLM_ManagedFileTable(LiteLLMPydanticObjectBase): class LiteLLM_ManagedObjectTable(LiteLLMPydanticObjectBase): unified_object_id: str model_object_id: str - file_purpose: Literal["batch", "fine-tune", "response"] + file_purpose: Literal["batch", "fine-tune", "response", "container"] file_object: Union[LiteLLMBatch, LiteLLMFineTuningJob, ResponsesAPIResponse] diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index e5577c4052e..4905c6537db 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -26,9 +26,10 @@ _IN_MEMORY_CONTAINER_OWNERS: "OrderedDict[str, str]" = OrderedDict() # Short-lived cache keeps every container access check from hitting the DB # (`_get_container_owner` is invoked on retrieve / delete / list / file-content # paths). Mirrors the `_byok_cred_cache` pattern in mcp_server/server.py: -# (value, monotonic_timestamp) tuples, TTL'd, capped, invalidated by writes. -# A `None` value caches "untracked" so repeated negative lookups also avoid DB. -_CONTAINER_OWNER_CACHE: Dict[str, Tuple[Optional[str], float]] = {} +# (value, monotonic_timestamp) tuples, TTL'd, LRU-evicted at capacity, +# invalidated by writes. A ``None`` value caches "untracked" so repeated +# negative lookups also avoid DB. +_CONTAINER_OWNER_CACHE: "OrderedDict[str, Tuple[Optional[str], float]]" = OrderedDict() _CONTAINER_OWNER_CACHE_TTL = 60 # seconds _CONTAINER_OWNER_CACHE_MAX_SIZE = 10000 @@ -42,13 +43,20 @@ def _read_container_owner_cache(model_object_id: str) -> Tuple[bool, Optional[st if time.monotonic() - timestamp > _CONTAINER_OWNER_CACHE_TTL: _CONTAINER_OWNER_CACHE.pop(model_object_id, None) return False, None + _CONTAINER_OWNER_CACHE.move_to_end(model_object_id) return True, value def _write_container_owner_cache(model_object_id: str, owner: Optional[str]) -> None: - if len(_CONTAINER_OWNER_CACHE) >= _CONTAINER_OWNER_CACHE_MAX_SIZE: - _CONTAINER_OWNER_CACHE.clear() + # LRU eviction (popitem(last=False)) instead of full ``clear()`` — a + # full clear at capacity converts a steady-state cached workload into + # a periodic full-DB-load oscillation as the cache repopulates from + # zero and clears again. + if model_object_id in _CONTAINER_OWNER_CACHE: + _CONTAINER_OWNER_CACHE.move_to_end(model_object_id) _CONTAINER_OWNER_CACHE[model_object_id] = (owner, time.monotonic()) + while len(_CONTAINER_OWNER_CACHE) > _CONTAINER_OWNER_CACHE_MAX_SIZE: + _CONTAINER_OWNER_CACHE.popitem(last=False) def _invalidate_container_owner_cache(model_object_id: str) -> None: diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 2a760edf7db..2d175ceedb6 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -1228,10 +1228,24 @@ def test_container_owner_cache_expires_after_ttl(monkeypatch): def test_container_owner_cache_evicts_when_at_capacity(monkeypatch): - """The cache must not grow unbounded; reaching capacity clears all entries.""" + """The cache must not grow unbounded; reaching capacity LRU-evicts the + oldest entry, not the entire cache.""" monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_MAX_SIZE", 2) ownership._write_container_owner_cache("a", "user-a") ownership._write_container_owner_cache("b", "user-b") ownership._write_container_owner_cache("c", "user-c") - # Reaching the cap clears everything — the new write is the only survivor. - assert ownership._CONTAINER_OWNER_CACHE.keys() == {"c"} + # ``a`` was the oldest and is dropped; ``b`` and ``c`` survive. + assert list(ownership._CONTAINER_OWNER_CACHE.keys()) == ["b", "c"] + + +def test_container_owner_cache_read_marks_as_recently_used(monkeypatch): + """Reading an entry should reset its position so a subsequent eviction + drops a less-recently-used entry instead of the just-touched one.""" + monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_MAX_SIZE", 2) + ownership._write_container_owner_cache("a", "user-a") + ownership._write_container_owner_cache("b", "user-b") + # Touch ``a`` so it becomes the most-recently-used. + ownership._read_container_owner_cache("a") + ownership._write_container_owner_cache("c", "user-c") + # ``b`` is the LRU at this point; ``a`` and ``c`` survive. + assert list(ownership._CONTAINER_OWNER_CACHE.keys()) == ["a", "c"] diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index f98a04205b4..d6c0601a57c 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -537,4 +537,5 @@ def test_skill_cache_evicts_when_at_capacity(monkeypatch): skills_handler._write_skill_cache("a", Mock()) skills_handler._write_skill_cache("b", Mock()) skills_handler._write_skill_cache("c", Mock()) - assert skills_handler._SKILL_CACHE.keys() == {"c"} + # ``a`` was the oldest and is LRU-evicted; ``b`` and ``c`` survive. + assert list(skills_handler._SKILL_CACHE.keys()) == ["b", "c"] From de682c810e406f05be019e68b941550b91fff9b0 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 23:22:19 +0000 Subject: [PATCH 149/160] chore(container,skills): drop legacy-access opt-out env vars MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit LITELLM_ALLOW_UNTRACKED_CONTAINER_ACCESS and LITELLM_ALLOW_UNOWNED_SKILL_ACCESS were operator-toggleable opt-outs for the cross-tenant access primitive this PR closes — flipping either on re-enabled exactly the VERIA-20 read path. Default-secure with no escape hatch matches sibling fixes (vector-store cred isolation, semantic cache key isolation, user_config strip): all rejected the opt-out-of-security pattern. Untracked containers and unowned skills (rows that pre-date this enforcement) are admin-only. Non-admin owners need to either re-create via the now-tracked flow or have an admin assign ``created_by`` on the existing row. Update tests to assert the strict-only behaviour. --- litellm/llms/litellm_proxy/skills/handler.py | 34 +++-------------- .../proxy/container_endpoints/ownership.py | 21 ++--------- .../test_container_proxy_ownership.py | 26 +++++++------ .../litellm_proxy/test_skills_ownership.py | 37 +++++++++---------- 4 files changed, 40 insertions(+), 78 deletions(-) diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index e5caf3cffc7..086dccd4032 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -5,7 +5,6 @@ This module contains the actual database operations for skills CRUD. Used by the transformation layer and skills injection hook. """ -import os import time import uuid from collections import OrderedDict @@ -21,8 +20,6 @@ from litellm.proxy.common_utils.resource_ownership import ( user_can_access_resource_owner, ) -ALLOW_UNOWNED_SKILL_ACCESS_ENV = "LITELLM_ALLOW_UNOWNED_SKILL_ACCESS" - # Skills are looked up on every chat completion that has skills enabled # (`LiteLLMSkillsHandler.fetch_skill_from_db` in the injection hook). Cache # the Prisma skill row for a short window so the hot path doesn't issue a DB @@ -62,27 +59,14 @@ def _invalidate_skill_cache(skill_id: str) -> None: _SKILL_CACHE.pop(skill_id, None) -def _allow_unowned_skill_access() -> bool: - return os.getenv(ALLOW_UNOWNED_SKILL_ACCESS_ENV, "").lower() in { - "1", - "true", - "yes", - } - - def _user_can_access_skill_owner( owner: Optional[str], user_api_key_dict: Optional[UserAPIKeyAuth], ) -> bool: - if owner is None and user_api_key_dict is not None: - if is_proxy_admin(user_api_key_dict): - return True - if _allow_unowned_skill_access(): - verbose_logger.warning( - "Allowing unowned skill access because %s is enabled", - ALLOW_UNOWNED_SKILL_ACCESS_ENV, - ) - return True + # Pre-isolation skills with no ``created_by`` are admin-only — same + # rule as untracked containers. Owners need to either re-create via + # the now-tracked flow or have an admin assign ``created_by`` on the + # row. return user_can_access_resource_owner(owner, user_api_key_dict) @@ -216,15 +200,7 @@ class LiteLLMSkillsHandler: owner_scopes = get_resource_owner_scopes(user_api_key_dict) if not owner_scopes: return [] - if _allow_unowned_skill_access(): - find_many_kwargs["where"] = { - "OR": [ - {"created_by": {"in": owner_scopes}}, - {"created_by": None}, - ] - } - else: - find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} + find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} skills = await store.list_skills(find_many_kwargs) diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 4905c6537db..6bfea87ebf6 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -1,4 +1,3 @@ -import os import time from collections import OrderedDict from typing import Any, Dict, List, Optional, Set, Tuple @@ -19,7 +18,6 @@ from litellm.proxy.container_endpoints.ownership_store import ( ) from litellm.responses.utils import ResponsesAPIRequestUtils -ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV = "LITELLM_ALLOW_UNTRACKED_CONTAINER_ACCESS" MAX_IN_MEMORY_CONTAINER_OWNERS = 10000 _IN_MEMORY_CONTAINER_OWNERS: "OrderedDict[str, str]" = OrderedDict() @@ -64,14 +62,6 @@ def _invalidate_container_owner_cache(model_object_id: str) -> None: _CONTAINER_OWNER_CACHE.pop(model_object_id, None) -def _allow_untracked_container_access() -> bool: - return os.getenv(ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, "").lower() in { - "1", - "true", - "yes", - } - - def _remember_container_owner(model_object_id: str, owner: str) -> None: existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) if existing_owner is not None: @@ -280,14 +270,11 @@ async def assert_user_can_access_container( if is_proxy_admin(user_api_key_dict): return original_container_id, resolved_provider + # Untracked containers (no ownership row) are admin-only. Pre-isolation + # rows that pre-date this enforcement need the admin to either re-create + # via the now-tracked flow or explicitly assign ``created_by`` on the + # ``litellm_managedobjecttable`` row. owner = await _get_container_owner(original_container_id, resolved_provider) - if owner is None and _allow_untracked_container_access(): - verbose_proxy_logger.warning( - "Allowing untracked container access because %s is enabled", - ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, - ) - return original_container_id, resolved_provider - if not user_can_access_resource_owner(owner, user_api_key_dict): raise HTTPException(status_code=403, detail="Forbidden") diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 2d175ceedb6..2e82b5b6b2d 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -12,10 +12,9 @@ from litellm.types.containers.main import ContainerListResponse, ContainerObject @pytest.fixture(autouse=True) -def clear_in_memory_container_owners(monkeypatch): +def clear_in_memory_container_owners(): ownership._IN_MEMORY_CONTAINER_OWNERS.clear() ownership._CONTAINER_OWNER_CACHE.clear() - monkeypatch.delenv(ownership.ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, raising=False) yield ownership._IN_MEMORY_CONTAINER_OWNERS.clear() ownership._CONTAINER_OWNER_CACHE.clear() @@ -384,23 +383,26 @@ async def test_should_fail_closed_when_owner_lookup_fails_without_memory(monkeyp @pytest.mark.asyncio -async def test_should_allow_untracked_container_access_when_enabled(monkeypatch): +async def test_untracked_container_is_admin_only(monkeypatch): + """Pre-isolation containers with no ownership row are admin-only. + Non-admin callers see them as 403, with no opt-out flag re-opening + the cross-tenant access primitive.""" + from fastapi import HTTPException + monkeypatch.setattr( ownership, "_get_prisma_client", AsyncMock(return_value=None), ) - monkeypatch.setenv(ownership.ALLOW_UNTRACKED_CONTAINER_ACCESS_ENV, "true") auth = UserAPIKeyAuth(user_id="user-1") - original_id, provider = await ownership.assert_user_can_access_container( - container_id="cntr_untracked", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert original_id == "cntr_untracked" - assert provider == "openai" + with pytest.raises(HTTPException) as exc: + await ownership.assert_user_can_access_container( + container_id="cntr_untracked", + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + assert exc.value.status_code == 403 @pytest.mark.asyncio diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index d6c0601a57c..cef5f8a554b 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -18,8 +18,7 @@ from litellm.skills import main as skills_main @pytest.fixture(autouse=True) -def clear_skill_ownership_env(monkeypatch): - monkeypatch.delenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, raising=False) +def clear_skill_cache(): skills_handler._SKILL_CACHE.clear() yield skills_handler._SKILL_CACHE.clear() @@ -358,7 +357,10 @@ async def test_should_hide_unowned_skill_by_default(monkeypatch): @pytest.mark.asyncio -async def test_should_allow_unowned_skill_when_enabled(monkeypatch): +async def test_unowned_skill_is_admin_only(monkeypatch): + """Pre-isolation skills with no ``created_by`` are admin-only — non-admin + callers see the same "not found" they'd see for a missing row, with no + opt-out env var that re-opens the cross-tenant access primitive.""" table = AsyncMock() table.find_unique.return_value = _skill("litellm_skill_unowned", None) prisma_client = type( @@ -369,22 +371,22 @@ async def test_should_allow_unowned_skill_when_enabled(monkeypatch): "_get_prisma_client", AsyncMock(return_value=prisma_client), ) - monkeypatch.setenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, "true") auth = UserAPIKeyAuth(user_id="user-1") - skill = await LiteLLMSkillsHandler.get_skill( - "litellm_skill_unowned", - user_api_key_dict=auth, - ) - - assert skill.skill_id == "litellm_skill_unowned" + with pytest.raises(ValueError, match="Skill not found"): + await LiteLLMSkillsHandler.get_skill( + "litellm_skill_unowned", + user_api_key_dict=auth, + ) @pytest.mark.asyncio -async def test_should_include_unowned_skills_in_list_when_enabled(monkeypatch): +async def test_list_skills_excludes_unowned_for_non_admin(monkeypatch): + """Non-admin list queries scope to ``created_by IN owner_scopes``; rows + with ``created_by IS NULL`` are excluded — admin-only.""" table = AsyncMock() - table.find_many.return_value = [_skill("litellm_skill_unowned", None)] + table.find_many.return_value = [] prisma_client = type( "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} )() @@ -393,18 +395,13 @@ async def test_should_include_unowned_skills_in_list_when_enabled(monkeypatch): "_get_prisma_client", AsyncMock(return_value=prisma_client), ) - monkeypatch.setenv(skills_handler.ALLOW_UNOWNED_SKILL_ACCESS_ENV, "true") auth = UserAPIKeyAuth(user_id="user-1") + await LiteLLMSkillsHandler.list_skills(user_api_key_dict=auth) - skills = await LiteLLMSkillsHandler.list_skills(user_api_key_dict=auth) - - assert [skill.skill_id for skill in skills] == ["litellm_skill_unowned"] where = table.find_many.await_args.kwargs["where"] - assert where["OR"] == [ - {"created_by": {"in": ["user-1", "user:user-1"]}}, - {"created_by": None}, - ] + # No OR fallback to ``created_by IS NULL`` — strict scope only. + assert where == {"created_by": {"in": ["user-1", "user:user-1"]}} @pytest.mark.asyncio From 758b4883269e8830dc9809789b36604f8afefab7 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 23:40:22 +0000 Subject: [PATCH 150/160] fix(ownership): reject identity-less callers instead of sharing a sentinel scope MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit UNSCOPED_RESOURCE_OWNER_SCOPE collapsed every caller without an identity field (no user_id / team_id / org_id / api_key / token) into a single shared owner — a cross-tenant access primitive: any two such callers could see and delete each other's containers and skills. Drop the sentinel. ``get_primary_resource_owner_scope`` returns ``None`` and ``get_resource_owner_scopes`` returns ``[]`` for identity-less callers. ``record_container_owner`` and ``LiteLLMSkillsHandler.create_skill`` now reject creates from identity-less callers with a 403 instead of stamping the placeholder. Read paths already deny ``owner is None`` correctly so legacy rows (if any) are admin-only. --- litellm/llms/litellm_proxy/skills/handler.py | 11 ++++++ .../proxy/common_utils/resource_ownership.py | 23 +++++++++---- .../proxy/container_endpoints/ownership.py | 10 +++++- .../test_container_proxy_ownership.py | 33 ++++++++---------- .../litellm_proxy/test_skills_ownership.py | 34 +++++++++++-------- 5 files changed, 70 insertions(+), 41 deletions(-) diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 086dccd4032..1129af64e14 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -133,6 +133,17 @@ class LiteLLMSkillsHandler: skill_id = f"litellm_skill_{uuid.uuid4()}" owner = get_primary_resource_owner_scope(user_api_key_dict) or user_id + if owner is None: + # Caller has no identity scope (no user_id / team_id / org_id / + # api_key / token). Stamping a placeholder would let any two + # identity-less callers see each other's skills via the shared + # owner — the cross-tenant primitive we avoid. + from fastapi import HTTPException + + raise HTTPException( + status_code=403, + detail="Unable to record skill ownership: caller has no identity scope.", + ) skill_data: Dict[str, Any] = { "skill_id": skill_id, diff --git a/litellm/proxy/common_utils/resource_ownership.py b/litellm/proxy/common_utils/resource_ownership.py index 9b55554fbc6..936c4e18bde 100644 --- a/litellm/proxy/common_utils/resource_ownership.py +++ b/litellm/proxy/common_utils/resource_ownership.py @@ -2,8 +2,6 @@ from typing import List, Optional from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth -UNSCOPED_RESOURCE_OWNER_SCOPE = "__litellm_unscoped_proxy__" - def is_proxy_admin(user_api_key_dict: Optional[UserAPIKeyAuth]) -> bool: if user_api_key_dict is None: @@ -22,8 +20,14 @@ def get_resource_owner_scopes( Return ownership scopes that may access a user-created proxy resource. Raw user_id is included for rows created before scope prefixes existed. - Prefixes avoid collisions when falling back to team/org/key ownership for - keys that do not have a user_id. + Prefixes avoid collisions when falling back to team/org/key ownership + for keys that do not have a user_id. + + Identity-less callers (no user_id, team_id, org_id, api_key, or token) + return ``[]`` — they share no scope with any other caller, so access + checks against an existing owner always fail and creates that depend + on a primary scope must reject up front. Returning a shared sentinel + here would let any two identity-less callers see each other's data. """ if user_api_key_dict is None: return [] @@ -45,8 +49,6 @@ def get_resource_owner_scopes( _add(f"key:{user_api_key_dict.api_key}") if user_api_key_dict.token: _add(f"key:{user_api_key_dict.token}") - if not scopes: - _add(UNSCOPED_RESOURCE_OWNER_SCOPE) return scopes @@ -54,6 +56,13 @@ def get_resource_owner_scopes( def get_primary_resource_owner_scope( user_api_key_dict: Optional[UserAPIKeyAuth], ) -> Optional[str]: + """Return the canonical owner scope to stamp on newly-created rows. + + ``None`` for identity-less callers — callers that depend on a primary + scope to record ownership must surface that as a hard error rather + than fall back to a shared sentinel (which would collapse every + identity-less caller into the same logical owner). + """ if user_api_key_dict is None: return None @@ -67,7 +76,7 @@ def get_primary_resource_owner_scope( return f"key:{user_api_key_dict.api_key}" if user_api_key_dict.token: return f"key:{user_api_key_dict.token}" - return UNSCOPED_RESOURCE_OWNER_SCOPE + return None def user_can_access_resource_owner( diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 6bfea87ebf6..b5b340fe2be 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -147,7 +147,15 @@ async def record_container_owner( ) return response if owner is None: - raise HTTPException(status_code=500, detail="Unable to track container") + # Caller has no identity (no user_id / team_id / org_id / api_key / + # token) we can stamp on the row. Recording with a placeholder + # would collapse every such caller into a single shared owner — + # the cross-tenant data-access primitive we explicitly avoid. + # Reject with 403 rather than fall back to a sentinel. + raise HTTPException( + status_code=403, + detail="Unable to record container ownership: caller has no identity scope.", + ) original_container_id, resolved_provider = decode_container_id_for_ownership( container_id, diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 2e82b5b6b2d..850c5a96e53 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -138,7 +138,12 @@ async def test_should_record_token_owner_for_keys_without_user_team_or_org(monke @pytest.mark.asyncio -async def test_should_record_unscoped_owner_for_identityless_proxy_auth(monkeypatch): +async def test_should_reject_record_for_identityless_proxy_auth(monkeypatch): + """Identity-less callers (no user_id / team_id / org_id / api_key / + token) cannot record ownership — stamping a shared sentinel would let + any two such callers see each other's containers.""" + from fastapi import HTTPException + monkeypatch.setattr( ownership, "_get_prisma_client", @@ -146,23 +151,15 @@ async def test_should_record_unscoped_owner_for_identityless_proxy_auth(monkeypa ) auth = UserAPIKeyAuth() - await ownership.record_container_owner( - response=_container("cntr_provider"), - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert ( - ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_provider"] - == "__litellm_unscoped_proxy__" - ) - original_id, provider = await ownership.assert_user_can_access_container( - container_id="cntr_provider", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - assert original_id == "cntr_provider" - assert provider == "openai" + with pytest.raises(HTTPException) as exc: + await ownership.record_container_owner( + response=_container("cntr_provider"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + assert exc.value.status_code == 403 + assert "identity scope" in str(exc.value.detail) + assert ownership._IN_MEMORY_CONTAINER_OWNERS == {} @pytest.mark.asyncio diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index cef5f8a554b..8b189be4921 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -150,9 +150,11 @@ def test_should_build_resource_owner_scopes_for_auth_context(): assert resource_ownership.get_resource_owner_scopes( UserAPIKeyAuth(token="token-hash") ) == ["key:token-hash"] - assert resource_ownership.get_resource_owner_scopes(UserAPIKeyAuth()) == [ - resource_ownership.UNSCOPED_RESOURCE_OWNER_SCOPE - ] + # Identity-less callers get an empty scope set — sharing a sentinel + # would collapse every identity-less caller into the same logical + # owner, which is a cross-tenant data-access primitive. + assert resource_ownership.get_resource_owner_scopes(UserAPIKeyAuth()) == [] + assert resource_ownership.get_primary_resource_owner_scope(UserAPIKeyAuth()) is None def test_should_allow_admin_and_anonymous_resource_owner_paths(): @@ -259,9 +261,13 @@ async def test_should_store_token_owner_for_keys_without_user_team_or_org(monkey @pytest.mark.asyncio -async def test_should_store_unscoped_owner_for_identityless_proxy_auth(monkeypatch): +async def test_should_reject_skill_create_for_identityless_proxy_auth(monkeypatch): + """Identity-less callers cannot create skills — stamping a shared + sentinel as ``created_by`` would let any two such callers see each + other's skills via the resulting shared owner scope.""" + from fastapi import HTTPException + table = AsyncMock() - table.create.side_effect = lambda data: _skill(data["skill_id"], data["created_by"]) prisma_client = type( "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} )() @@ -273,16 +279,14 @@ async def test_should_store_unscoped_owner_for_identityless_proxy_auth(monkeypat auth = UserAPIKeyAuth() - skill = await LiteLLMSkillsHandler.create_skill( - data=NewSkillRequest(display_title="skill"), - user_api_key_dict=auth, - ) - - assert skill.created_by == "__litellm_unscoped_proxy__" - assert ( - table.create.await_args.kwargs["data"]["updated_by"] - == "__litellm_unscoped_proxy__" - ) + with pytest.raises(HTTPException) as exc: + await LiteLLMSkillsHandler.create_skill( + data=NewSkillRequest(display_title="skill"), + user_api_key_dict=auth, + ) + assert exc.value.status_code == 403 + assert "identity scope" in str(exc.value.detail) + table.create.assert_not_awaited() @pytest.mark.asyncio From abcf204d3871d38df5f910607a4237b698e5c2f0 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 16:54:04 -0700 Subject: [PATCH 151/160] fix(proxy): include request-blocked callback params in auth bans --- litellm/proxy/auth/auth_utils.py | 22 +++++++++++-------- .../proxy/auth/test_auth_utils.py | 6 +++++ 2 files changed, 19 insertions(+), 9 deletions(-) diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index 9a6fc95f145..567b8307af2 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -216,22 +216,26 @@ _EXTRA_BANNED_OBSERVABILITY_PARAMS: FrozenSet[str] = frozenset( def _build_banned_observability_params() -> FrozenSet[str]: """Derive the observability ban list from the canonical allowlist. - ``_supported_callback_params`` in + ``_supported_callback_params`` and ``_request_blocked_callback_params`` in ``litellm/litellm_core_utils/initialize_dynamic_callback_params.py`` is - the single place that enumerates every observability field - integrations resolve from kwargs/metadata. Subtract the small set of - informational fields (``_SAFE_CLIENT_CALLBACK_PARAMS``) and union with - the extras the canonical allowlist hasn't caught up to yet. New - integrations added to the canonical allowlist are banned by default, - which is the safe failure mode. + the single place that enumerates every observability field integrations + resolve from kwargs/metadata, plus fields that integration code explicitly + blocks from request-supplied callback params. Subtract the small set of + informational fields (``_SAFE_CLIENT_CALLBACK_PARAMS``) and union with the + extras the canonical allowlist hasn't caught up to yet. New integrations + added to the canonical allowlist are banned by default, which is the safe + failure mode. """ from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + _request_blocked_callback_params, _supported_callback_params, ) return ( - frozenset(_supported_callback_params) - _SAFE_CLIENT_CALLBACK_PARAMS - ) | _EXTRA_BANNED_OBSERVABILITY_PARAMS + (frozenset(_supported_callback_params) - _SAFE_CLIENT_CALLBACK_PARAMS) + | frozenset(_request_blocked_callback_params) + | _EXTRA_BANNED_OBSERVABILITY_PARAMS + ) _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = ( diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py index 7c04a4f61fb..d1a9d6e8934 100644 --- a/tests/test_litellm/proxy/auth/test_auth_utils.py +++ b/tests/test_litellm/proxy/auth/test_auth_utils.py @@ -1493,6 +1493,7 @@ def test_observability_ban_covers_canonical_supported_callback_params(): safe is an explicit decision recorded in ``_SAFE_CLIENT_CALLBACK_PARAMS``.""" from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + _request_blocked_callback_params, _supported_callback_params, ) from litellm.proxy.auth.auth_utils import ( @@ -1508,3 +1509,8 @@ def test_observability_ban_covers_canonical_supported_callback_params(): f"informational per-request field; otherwise the derivation will " f"ban it automatically." ) + for param in _request_blocked_callback_params: + assert param in banned, ( + f"{param} is in _request_blocked_callback_params but is not banned " + "at the proxy request-body boundary." + ) From 12fe945e7bbac2b9e7db6dbcefb73e9a4c5f0a13 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 23:54:33 +0000 Subject: [PATCH 152/160] fix: keep skills handler FastAPI-free; fold gcs deny list into the body bouncer MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two cleanups: * ``LiteLLMSkillsHandler.create_skill`` raised ``HTTPException`` for identity-less callers, importing FastAPI from a ``litellm/llms/`` module — that violates the project rule that FastAPI lives only under ``proxy/``. Switch to ``ValueError`` (the same shape the rest of the handler uses for not-found/forbidden) and update the test. * The proxy-auth body bouncer derived its observability ban list from ``_supported_callback_params`` only, missing ``_request_blocked_callback_params`` (where ``gcs_bucket_name`` and ``gcs_path_service_account`` live). Two recently-merged sibling PRs (#27019 added the deny list, #27081 added the test asserting these are rejected at the request body root) crossed without folding them together. Union the GCS deny list into the bouncer's derivation so the single source of truth covers both code paths. --- litellm/llms/litellm_proxy/skills/handler.py | 11 +++++------ litellm/proxy/auth/auth_utils.py | 13 +++++++++++-- .../llms/litellm_proxy/test_skills_ownership.py | 6 +----- 3 files changed, 17 insertions(+), 13 deletions(-) diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 1129af64e14..48c02660a06 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -137,12 +137,11 @@ class LiteLLMSkillsHandler: # Caller has no identity scope (no user_id / team_id / org_id / # api_key / token). Stamping a placeholder would let any two # identity-less callers see each other's skills via the shared - # owner — the cross-tenant primitive we avoid. - from fastapi import HTTPException - - raise HTTPException( - status_code=403, - detail="Unable to record skill ownership: caller has no identity scope.", + # owner — the cross-tenant primitive we avoid. ValueError keeps + # this module FastAPI-free per the project layering rule + # (litellm_proxy provider integrations live outside proxy/). + raise ValueError( + "Unable to record skill ownership: caller has no identity scope." ) skill_data: Dict[str, Any] = { diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index 9a6fc95f145..917d3d99228 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -224,14 +224,23 @@ def _build_banned_observability_params() -> FrozenSet[str]: the extras the canonical allowlist hasn't caught up to yet. New integrations added to the canonical allowlist are banned by default, which is the safe failure mode. + + ``_request_blocked_callback_params`` (e.g. ``gcs_bucket_name``, + ``gcs_path_service_account``) is the GCS-logging-specific deny list + that lives alongside the allowlist; fold it in here so a single + declaration of "this field must not be caller-supplied" covers both + the request-body bouncer and the dynamic callback initializer. """ from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + _request_blocked_callback_params, _supported_callback_params, ) return ( - frozenset(_supported_callback_params) - _SAFE_CLIENT_CALLBACK_PARAMS - ) | _EXTRA_BANNED_OBSERVABILITY_PARAMS + (frozenset(_supported_callback_params) - _SAFE_CLIENT_CALLBACK_PARAMS) + | _EXTRA_BANNED_OBSERVABILITY_PARAMS + | frozenset(_request_blocked_callback_params) + ) _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = ( diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index 8b189be4921..c6dd6c4e33c 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -265,8 +265,6 @@ async def test_should_reject_skill_create_for_identityless_proxy_auth(monkeypatc """Identity-less callers cannot create skills — stamping a shared sentinel as ``created_by`` would let any two such callers see each other's skills via the resulting shared owner scope.""" - from fastapi import HTTPException - table = AsyncMock() prisma_client = type( "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} @@ -279,13 +277,11 @@ async def test_should_reject_skill_create_for_identityless_proxy_auth(monkeypatc auth = UserAPIKeyAuth() - with pytest.raises(HTTPException) as exc: + with pytest.raises(ValueError, match="identity scope"): await LiteLLMSkillsHandler.create_skill( data=NewSkillRequest(display_title="skill"), user_api_key_dict=auth, ) - assert exc.value.status_code == 403 - assert "identity scope" in str(exc.value.detail) table.create.assert_not_awaited() From 83971a87122df520400df37b0630185235104454 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Mon, 4 May 2026 17:05:50 -0700 Subject: [PATCH 153/160] fix(proxy): normalize managed resource team owner field --- .../proxy/hooks/managed_files.py | 12 +++---- .../migration.sql | 19 +++++------ .../litellm_proxy_extras/schema.prisma | 12 +++---- .../base_managed_resource.py | 6 ++-- .../base_llm/managed_resources/isolation.py | 16 ++++----- litellm/proxy/_types.py | 6 ++-- litellm/proxy/schema.prisma | 12 +++---- schema.prisma | 12 +++---- .../proxy/test_managed_files_access_check.py | 12 +++---- .../base_llm/test_base_managed_resource.py | 8 ++--- .../test_managed_resource_isolation.py | 34 +++++++++---------- 11 files changed, 74 insertions(+), 75 deletions(-) diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index fe15e9b1329..5ed49070347 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -104,7 +104,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_mappings=model_mappings, flat_model_file_ids=list(model_mappings.values()), created_by=user_api_key_dict.user_id, - created_by_team_id=user_api_key_dict.team_id, + team_id=user_api_key_dict.team_id, updated_by=user_api_key_dict.user_id, ) await self.internal_usage_cache.async_set_cache( @@ -120,7 +120,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): "model_mappings": json.dumps(model_mappings), "flat_model_file_ids": list(model_mappings.values()), "created_by": user_api_key_dict.user_id, - "created_by_team_id": user_api_key_dict.team_id, + "team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, } @@ -178,7 +178,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): "model_object_id": model_object_id, "file_purpose": file_purpose, "created_by": user_api_key_dict.user_id, - "created_by_team_id": user_api_key_dict.team_id, + "team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, "status": file_object.status, }, @@ -245,7 +245,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return can_access_resource( user_api_key_dict=user_api_key_dict, created_by=managed_file.created_by, - created_by_team_id=managed_file.created_by_team_id, + resource_team_id=managed_file.team_id, ) raise HTTPException( status_code=404, @@ -265,7 +265,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return can_access_resource( user_api_key_dict=user_api_key_dict, created_by=managed_object.created_by, - created_by_team_id=managed_object.created_by_team_id, + resource_team_id=managed_object.team_id, ) raise HTTPException( status_code=404, @@ -349,7 +349,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): """ Get all file ids the caller is allowed to see for a list of model object ids. Service-account keys (no user_id) are scoped to their - team via ``created_by_team_id``; admins see all matches. + team via ``team_id``; admins see all matches. Returns: - List of OpenAIFileObject's diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql index 793a02c08a2..d6f236959be 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql @@ -1,6 +1,6 @@ --- Adds `created_by_team_id` to managed-resource tables so service-account API +-- Adds `team_id` to managed-resource tables so service-account API -- keys (no `user_id`) can be scoped by team instead of bypassing the --- `created_by` filter entirely. Existing rows keep `created_by_team_id = NULL` +-- `created_by` filter entirely. Existing rows keep `team_id = NULL` -- and become invisible to team-only callers — that is the intended isolation -- outcome; backfill manually if legacy rows must remain visible. -- @@ -9,13 +9,12 @@ -- request); a future operator with a large table can switch to -- CREATE INDEX CONCURRENTLY in a follow-up migration. -ALTER TABLE "LiteLLM_ManagedFileTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; -ALTER TABLE "LiteLLM_ManagedObjectTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; -ALTER TABLE "LiteLLM_ManagedVectorStoreTable" ADD COLUMN IF NOT EXISTS "created_by_team_id" TEXT; +ALTER TABLE "LiteLLM_ManagedFileTable" ADD COLUMN IF NOT EXISTS "team_id" TEXT; +ALTER TABLE "LiteLLM_ManagedObjectTable" ADD COLUMN IF NOT EXISTS "team_id" TEXT; +ALTER TABLE "LiteLLM_ManagedVectorStoreTable" ADD COLUMN IF NOT EXISTS "team_id" TEXT; -- Index names follow Prisma's auto-generated convention so `prisma migrate diff` --- against the schema is clean. Postgres caps identifier length at 63 chars, --- which truncates the vector-store name to `_created__idx`. -CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedFileTable_created_by_team_id_created_at_idx" ON "LiteLLM_ManagedFileTable" ("created_by_team_id", "created_at" DESC); -CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedObjectTable_created_by_team_id_created_at_idx" ON "LiteLLM_ManagedObjectTable" ("created_by_team_id", "created_at" DESC); -CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedVectorStoreTable_created_by_team_id_created__idx" ON "LiteLLM_ManagedVectorStoreTable" ("created_by_team_id", "created_at" DESC); +-- against the schema is clean. +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedFileTable_team_id_created_at_idx" ON "LiteLLM_ManagedFileTable" ("team_id", "created_at" DESC); +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedObjectTable_team_id_created_at_idx" ON "LiteLLM_ManagedObjectTable" ("team_id", "created_at" DESC); +CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedVectorStoreTable_team_id_created_at_idx" ON "LiteLLM_ManagedVectorStoreTable" ("team_id", "created_at" DESC); diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index 1f51ca4a224..84ce99557e3 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -885,12 +885,12 @@ model LiteLLM_ManagedFileTable { storage_url String? // The actual storage URL where the file is stored created_at DateTime @default(now()) created_by String? - created_by_team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. + team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. updated_at DateTime @updatedAt updated_by String? @@index([unified_file_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the @@ -903,13 +903,13 @@ model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use t batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed created_at DateTime @default(now()) created_by String? - created_by_team_id String? + team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_object_id]) @@index([model_object_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoreTable { @@ -922,12 +922,12 @@ model LiteLLM_ManagedVectorStoreTable { storage_url String? // Storage URL (if applicable) created_at DateTime @default(now()) created_by String? - created_by_team_id String? + team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_resource_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoresTable { diff --git a/litellm/llms/base_llm/managed_resources/base_managed_resource.py b/litellm/llms/base_llm/managed_resources/base_managed_resource.py index 29665f40851..c0c18aefdeb 100644 --- a/litellm/llms/base_llm/managed_resources/base_managed_resource.py +++ b/litellm/llms/base_llm/managed_resources/base_managed_resource.py @@ -174,7 +174,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): "model_mappings": model_mappings, "flat_model_resource_ids": list(model_mappings.values()), "created_by": user_api_key_dict.user_id, - "created_by_team_id": user_api_key_dict.team_id, + "team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, } @@ -196,7 +196,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): "model_mappings": json.dumps(model_mappings), "flat_model_resource_ids": list(model_mappings.values()), "created_by": user_api_key_dict.user_id, - "created_by_team_id": user_api_key_dict.team_id, + "team_id": user_api_key_dict.team_id, "updated_by": user_api_key_dict.user_id, } @@ -332,7 +332,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]): return can_access_resource( user_api_key_dict=user_api_key_dict, created_by=resource.get("created_by"), - created_by_team_id=resource.get("created_by_team_id"), + resource_team_id=resource.get("team_id"), ) return False diff --git a/litellm/llms/base_llm/managed_resources/isolation.py b/litellm/llms/base_llm/managed_resources/isolation.py index 267643e1f5e..4298d044627 100644 --- a/litellm/llms/base_llm/managed_resources/isolation.py +++ b/litellm/llms/base_llm/managed_resources/isolation.py @@ -36,7 +36,7 @@ def build_owner_filter( - ``{}`` means no scoping (proxy admins). - ``{"created_by": }`` for user-keyed callers. - - ``{"created_by_team_id": }`` for service-account callers + - ``{"team_id": }`` for service-account callers that have a team but no user_id. - ``{"OR": [...]}`` when the caller has both — listing must include both their own resources and team-shared ones so it stays consistent @@ -54,7 +54,7 @@ def build_owner_filter( return { "OR": [ {"created_by": user_id}, - {"created_by_team_id": team_id}, + {"team_id": team_id}, ] } @@ -62,7 +62,7 @@ def build_owner_filter( return {"created_by": user_id} if team_id is not None: - return {"created_by_team_id": team_id} + return {"team_id": team_id} return None @@ -70,12 +70,12 @@ def build_owner_filter( def can_access_resource( user_api_key_dict: UserAPIKeyAuth, created_by: Optional[str], - created_by_team_id: Optional[str], + resource_team_id: Optional[str], ) -> bool: """Return True iff the caller may read/modify a managed resource. - Both ``created_by`` and ``created_by_team_id`` must be non-None to - match the caller's identity — guarding against the ``None == None`` + The resource's ``created_by`` and ``team_id`` fields must be non-None + to match the caller's identity — guarding against the ``None == None`` bypass that previously let service-account keys read every keyless resource. """ @@ -89,8 +89,8 @@ def can_access_resource( team_id = user_api_key_dict.team_id if ( team_id is not None - and created_by_team_id is not None - and created_by_team_id == team_id + and resource_team_id is not None + and resource_team_id == team_id ): return True diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 7adf40362d7..70f87ee9571 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -4539,7 +4539,7 @@ class LiteLLM_ManagedFileTable(LiteLLMPydanticObjectBase): model_mappings: Dict[str, str] flat_model_file_ids: List[str] created_by: Optional[str] = None - created_by_team_id: Optional[str] = None + team_id: Optional[str] = None updated_by: Optional[str] = None storage_backend: Optional[str] = None storage_url: Optional[str] = None @@ -4551,7 +4551,7 @@ class LiteLLM_ManagedObjectTable(LiteLLMPydanticObjectBase): file_purpose: Literal["batch", "fine-tune", "response"] file_object: Union[LiteLLMBatch, LiteLLMFineTuningJob, ResponsesAPIResponse] created_by: Optional[str] = None - created_by_team_id: Optional[str] = None + team_id: Optional[str] = None class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase): @@ -4562,7 +4562,7 @@ class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase): model_mappings: Dict[str, str] flat_model_resource_ids: List[str] created_by: Optional[str] = None - created_by_team_id: Optional[str] = None + team_id: Optional[str] = None updated_by: Optional[str] = None storage_backend: Optional[str] = None storage_url: Optional[str] = None diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index 1f51ca4a224..84ce99557e3 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -885,12 +885,12 @@ model LiteLLM_ManagedFileTable { storage_url String? // The actual storage URL where the file is stored created_at DateTime @default(now()) created_by String? - created_by_team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. + team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. updated_at DateTime @updatedAt updated_by String? @@index([unified_file_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the @@ -903,13 +903,13 @@ model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use t batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed created_at DateTime @default(now()) created_by String? - created_by_team_id String? + team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_object_id]) @@index([model_object_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoreTable { @@ -922,12 +922,12 @@ model LiteLLM_ManagedVectorStoreTable { storage_url String? // Storage URL (if applicable) created_at DateTime @default(now()) created_by String? - created_by_team_id String? + team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_resource_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoresTable { diff --git a/schema.prisma b/schema.prisma index 1f51ca4a224..84ce99557e3 100644 --- a/schema.prisma +++ b/schema.prisma @@ -885,12 +885,12 @@ model LiteLLM_ManagedFileTable { storage_url String? // The actual storage URL where the file is stored created_at DateTime @default(now()) created_by String? - created_by_team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. + team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team. updated_at DateTime @updatedAt updated_by String? @@index([unified_file_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the @@ -903,13 +903,13 @@ model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use t batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed created_at DateTime @default(now()) created_by String? - created_by_team_id String? + team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_object_id]) @@index([model_object_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoreTable { @@ -922,12 +922,12 @@ model LiteLLM_ManagedVectorStoreTable { storage_url String? // Storage URL (if applicable) created_at DateTime @default(now()) created_by String? - created_by_team_id String? + team_id String? updated_at DateTime @updatedAt updated_by String? @@index([unified_resource_id]) - @@index([created_by_team_id, created_at(sort: Desc)]) + @@index([team_id, created_at(sort: Desc)]) } model LiteLLM_ManagedVectorStoresTable { diff --git a/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py b/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py index 12d68523ac8..b87c8335316 100644 --- a/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py +++ b/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py @@ -34,7 +34,7 @@ def _make_unified_file_id() -> str: def _make_managed_files_instance( file_created_by: str, unified_file_id: str, - file_created_by_team_id=None, + file_team_id=None, ): """Create a _PROXY_LiteLLMManagedFiles with a mocked DB that returns a file owned by file_created_by.""" from litellm_enterprise.proxy.hooks.managed_files import ( @@ -43,7 +43,7 @@ def _make_managed_files_instance( mock_db_record = MagicMock() mock_db_record.created_by = file_created_by - mock_db_record.created_by_team_id = file_created_by_team_id + mock_db_record.team_id = file_team_id mock_prisma = MagicMock() mock_prisma.db.litellm_managedfiletable.find_first = AsyncMock( @@ -110,7 +110,7 @@ async def test_should_block_default_user_id_access(): assert exc_info.value.status_code == 403 -# --- Service-account isolation: created_by/created_by_team_id checks --- +# --- Service-account isolation: created_by/team_id checks --- @pytest.mark.asyncio @@ -120,7 +120,7 @@ async def test_keyless_caller_cannot_access_keyless_file(): unified_file_id = _make_unified_file_id() managed_files = _make_managed_files_instance( file_created_by=None, - file_created_by_team_id=None, + file_team_id=None, unified_file_id=unified_file_id, ) keyless = UserAPIKeyAuth(api_key="sk-test", parent_otel_span=None) @@ -136,7 +136,7 @@ async def test_service_account_can_access_team_file(): unified_file_id = _make_unified_file_id() managed_files = _make_managed_files_instance( file_created_by=None, - file_created_by_team_id="team-eng", + file_team_id="team-eng", unified_file_id=unified_file_id, ) sa = UserAPIKeyAuth(api_key="sk-svc", team_id="team-eng", parent_otel_span=None) @@ -150,7 +150,7 @@ async def test_service_account_blocked_from_other_team_file(): unified_file_id = _make_unified_file_id() managed_files = _make_managed_files_instance( file_created_by=None, - file_created_by_team_id="team-sales", + file_team_id="team-sales", unified_file_id=unified_file_id, ) sa = UserAPIKeyAuth(api_key="sk-svc", team_id="team-eng", parent_otel_span=None) diff --git a/tests/test_litellm/llms/base_llm/test_base_managed_resource.py b/tests/test_litellm/llms/base_llm/test_base_managed_resource.py index 365a65b84c8..a6c518616f4 100644 --- a/tests/test_litellm/llms/base_llm/test_base_managed_resource.py +++ b/tests/test_litellm/llms/base_llm/test_base_managed_resource.py @@ -58,7 +58,7 @@ async def test_list_admin_query_is_unscoped(): table = resource.prisma_client.db.litellm_test_resource_table where = table.find_many.await_args.kwargs["where"] assert "created_by" not in where - assert "created_by_team_id" not in where + assert "team_id" not in where @pytest.mark.asyncio @@ -72,7 +72,7 @@ async def test_list_user_filters_by_user_id(): "where" ] assert where["created_by"] == "alice" - assert "created_by_team_id" not in where + assert "team_id" not in where @pytest.mark.asyncio @@ -85,7 +85,7 @@ async def test_list_service_account_filters_by_team_id(): where = resource.prisma_client.db.litellm_test_resource_table.find_many.await_args.kwargs[ "where" ] - assert where["created_by_team_id"] == "team-eng" + assert where["team_id"] == "team-eng" assert "created_by" not in where @@ -118,7 +118,7 @@ async def test_can_access_uses_team_id_for_service_account(caller_team_id, expec cache.async_get_cache = AsyncMock( return_value={ "created_by": None, - "created_by_team_id": "team-eng", + "team_id": "team-eng", } ) prisma = MagicMock() diff --git a/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py index a6bc9874ac7..b5fcd9d8219 100644 --- a/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py +++ b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py @@ -31,7 +31,7 @@ def test_owner_filter_user_scoped_to_user_id(): def test_owner_filter_service_account_scoped_to_team(): service_account = UserAPIKeyAuth(team_id="team-eng") - assert build_owner_filter(service_account) == {"created_by_team_id": "team-eng"} + assert build_owner_filter(service_account) == {"team_id": "team-eng"} def test_owner_filter_user_with_team_returns_or_filter(): @@ -42,7 +42,7 @@ def test_owner_filter_user_with_team_returns_or_filter(): assert build_owner_filter(user) == { "OR": [ {"created_by": "alice"}, - {"created_by_team_id": "team-eng"}, + {"team_id": "team-eng"}, ] } @@ -64,14 +64,14 @@ def test_owner_filter_no_identity_returns_none(): [LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY], ) @pytest.mark.parametrize( - "created_by,created_by_team_id", + "created_by,resource_team_id", [("alice", "team-eng"), (None, None)], ) -def test_access_admin_can_read_any_resource(role, created_by, created_by_team_id): +def test_access_admin_can_read_any_resource(role, created_by, resource_team_id): admin = UserAPIKeyAuth(user_role=role) assert ( can_access_resource( - admin, created_by=created_by, created_by_team_id=created_by_team_id + admin, created_by=created_by, resource_team_id=resource_team_id ) is True ) @@ -88,24 +88,26 @@ def test_access_admin_can_read_any_resource(role, created_by, created_by_team_id def test_access_user_id_match(user_id, created_by, expected): user = UserAPIKeyAuth(user_id=user_id) assert ( - can_access_resource(user, created_by=created_by, created_by_team_id=None) + can_access_resource(user, created_by=created_by, resource_team_id=None) is expected ) @pytest.mark.parametrize( - "team_id,created_by_team_id,expected", + "caller_team_id,resource_team_id,expected", [ ("team-eng", "team-eng", True), ("team-eng", "team-sales", False), ("team-eng", None, False), ], ) -def test_access_service_account_team_id_match(team_id, created_by_team_id, expected): - service_account = UserAPIKeyAuth(team_id=team_id) +def test_access_service_account_team_id_match( + caller_team_id, resource_team_id, expected +): + service_account = UserAPIKeyAuth(team_id=caller_team_id) assert ( can_access_resource( - service_account, created_by=None, created_by_team_id=created_by_team_id + service_account, created_by=None, resource_team_id=resource_team_id ) is expected ) @@ -117,9 +119,7 @@ def test_access_user_can_see_team_match_when_no_user_id_match(): same team.""" user = UserAPIKeyAuth(user_id="alice", team_id="team-eng") assert ( - can_access_resource( - user, created_by="service-bot", created_by_team_id="team-eng" - ) + can_access_resource(user, created_by="service-bot", resource_team_id="team-eng") is True ) @@ -128,14 +128,14 @@ def test_access_service_account_denied_user_resource_in_different_team(): service_account = UserAPIKeyAuth(team_id="team-eng") assert ( can_access_resource( - service_account, created_by="bob", created_by_team_id="team-sales" + service_account, created_by="bob", resource_team_id="team-sales" ) is False ) @pytest.mark.parametrize( - "created_by,created_by_team_id", + "created_by,resource_team_id", [ (None, None), ("anybody", None), @@ -143,14 +143,14 @@ def test_access_service_account_denied_user_resource_in_different_team(): ("anybody", "any-team"), ], ) -def test_access_identity_less_caller_always_denied(created_by, created_by_team_id): +def test_access_identity_less_caller_always_denied(created_by, resource_team_id): """The original `None == None` bypass — a caller with no admin role and no identifying ids is denied against every resource regardless of how the resource was tagged.""" nobody = UserAPIKeyAuth() assert ( can_access_resource( - nobody, created_by=created_by, created_by_team_id=created_by_team_id + nobody, created_by=created_by, resource_team_id=resource_team_id ) is False ) From 6ce84effe1a49bb58d9f3087e95c26a141ae6102 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Tue, 5 May 2026 00:23:32 +0000 Subject: [PATCH 154/160] =?UTF-8?q?chore:=20simplify=20ownership=20trackin?= =?UTF-8?q?g=20=E2=80=94=20drop=20thin=20stores,=20in-memory=20fallback,?= =?UTF-8?q?=20hand-rolled=20cache?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Substantial reduction (~765 LOC) without changing the security boundary: * Drop ContainerOwnershipStore and LiteLLMSkillsStore — both were one-method-per-Prisma-call wrappers. Inline the calls instead, matching the established pattern in vector_store_endpoints, agent_endpoints, and mcp_server/db.py. * Drop the prisma_client is None in-memory fallback. Production deploys always have Prisma; running ownership-critical paths on a process-local dict is a security footgun in the dev-mode case it was meant to support, and complicates every code path with a branch. Fail-secure: skip recording if Prisma is unavailable, and treat reads as "not found" (admin-only). * Drop the hand-rolled module-level cache. Replace with the existing litellm.caching.in_memory_cache.InMemoryCache, which already has TTL + max-size + eviction tested in its own module. Sentinel string for negative caching since InMemoryCache can't disambiguate "miss" from "cached as None". * Tests: drop coverage for removed code paths (in-memory fallback, hand-rolled cache internals). Keep tests for actual behavior (cache hit-rate, negative caching, owner check, list filtering, identity-less reject, admin bypass). --- litellm/llms/litellm_proxy/skills/handler.py | 209 ++------ litellm/llms/litellm_proxy/skills/store.py | 22 - .../proxy/container_endpoints/ownership.py | 280 ++++------- .../container_endpoints/ownership_store.py | 55 --- .../test_container_proxy_ownership.py | 457 +----------------- .../litellm_proxy/test_skills_ownership.py | 102 ++-- 6 files changed, 180 insertions(+), 945 deletions(-) delete mode 100644 litellm/llms/litellm_proxy/skills/store.py delete mode 100644 litellm/proxy/container_endpoints/ownership_store.py diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py index 48c02660a06..37aabd8b477 100644 --- a/litellm/llms/litellm_proxy/skills/handler.py +++ b/litellm/llms/litellm_proxy/skills/handler.py @@ -5,13 +5,11 @@ This module contains the actual database operations for skills CRUD. Used by the transformation layer and skills injection hook. """ -import time import uuid -from collections import OrderedDict -from typing import Any, Dict, List, Optional, Tuple +from typing import Any, Dict, List, Optional from litellm._logging import verbose_logger -from litellm.llms.litellm_proxy.skills.store import LiteLLMSkillsStore +from litellm.caching.in_memory_cache import InMemoryCache from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth from litellm.proxy.common_utils.resource_ownership import ( get_primary_resource_owner_scope, @@ -21,88 +19,37 @@ from litellm.proxy.common_utils.resource_ownership import ( ) # Skills are looked up on every chat completion that has skills enabled -# (`LiteLLMSkillsHandler.fetch_skill_from_db` in the injection hook). Cache -# the Prisma skill row for a short window so the hot path doesn't issue a DB -# round-trip per request. Same shape as `_byok_cred_cache` and the container -# ownership cache: (value, monotonic_timestamp). `None` is cached as a true -# negative ("skill does not exist") so repeated misses also avoid the DB. -_SKILL_CACHE: "OrderedDict[str, Tuple[Optional[Any], float]]" = OrderedDict() -_SKILL_CACHE_TTL = 60 # seconds -_SKILL_CACHE_MAX_SIZE = 10000 - - -def _read_skill_cache(skill_id: str) -> Tuple[bool, Optional[Any]]: - """Return (hit, value). hit=False means caller must consult the DB.""" - entry = _SKILL_CACHE.get(skill_id) - if entry is None: - return False, None - value, timestamp = entry - if time.monotonic() - timestamp > _SKILL_CACHE_TTL: - _SKILL_CACHE.pop(skill_id, None) - return False, None - _SKILL_CACHE.move_to_end(skill_id) - return True, value - - -def _write_skill_cache(skill_id: str, skill: Optional[Any]) -> None: - # LRU eviction (popitem(last=False)) instead of full ``clear()`` — - # see container ownership cache for rationale. - if skill_id in _SKILL_CACHE: - _SKILL_CACHE.move_to_end(skill_id) - _SKILL_CACHE[skill_id] = (skill, time.monotonic()) - while len(_SKILL_CACHE) > _SKILL_CACHE_MAX_SIZE: - _SKILL_CACHE.popitem(last=False) - - -def _invalidate_skill_cache(skill_id: str) -> None: - """Drop the cache entry after a write so the next read sees the new row.""" - _SKILL_CACHE.pop(skill_id, None) - - -def _user_can_access_skill_owner( - owner: Optional[str], - user_api_key_dict: Optional[UserAPIKeyAuth], -) -> bool: - # Pre-isolation skills with no ``created_by`` are admin-only — same - # rule as untracked containers. Owners need to either re-create via - # the now-tracked flow or have an admin assign ``created_by`` on the - # row. - return user_can_access_resource_owner(owner, user_api_key_dict) +# (`SkillsInjectionHook` calls ``fetch_skill_from_db``). 60s LRU/TTL cache +# absorbs the hot read before it reaches Prisma. ``_NEGATIVE_SKILL_SENTINEL`` +# lets us cache a true "skill does not exist" so repeated misses also +# avoid the DB — ``InMemoryCache`` returns ``None`` indistinguishably for +# "miss" and "cached as None". +_NEGATIVE_SKILL_SENTINEL = "__litellm_skill_not_found__" +_SKILL_CACHE = InMemoryCache(max_size_in_memory=10000, default_ttl=60) def _prisma_skill_to_litellm(prisma_skill) -> LiteLLM_SkillsTable: - """ - Convert a Prisma skill record to LiteLLM_SkillsTable. + """Convert a Prisma skill record to LiteLLM_SkillsTable. - Handles Base64 decoding of file_content field. + Handles Base64 decoding of file_content field — model_dump() converts + Base64 fields to base64-encoded strings. """ import base64 data = prisma_skill.model_dump() - # Decode Base64 file_content back to bytes - # model_dump() converts Base64 field to base64-encoded string if data.get("file_content") is not None: if isinstance(data["file_content"], str): data["file_content"] = base64.b64decode(data["file_content"]) - elif isinstance(data["file_content"], bytes): - # Already bytes, no conversion needed - pass return LiteLLM_SkillsTable(**data) class LiteLLMSkillsHandler: - """ - Handler for LiteLLM database-backed skills operations. - - This class provides static methods for CRUD operations on skills - stored in the LiteLLM proxy database (LiteLLM_SkillsTable). - """ + """CRUD for skills stored in ``litellm_skillstable``.""" @staticmethod async def _get_prisma_client(): - """Get the prisma client from proxy server.""" from litellm.proxy.proxy_server import prisma_client if prisma_client is None: @@ -118,28 +65,16 @@ class LiteLLMSkillsHandler: user_id: Optional[str] = None, user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> LiteLLM_SkillsTable: - """ - Create a new skill in the LiteLLM database. - - Args: - data: NewSkillRequest with skill details - user_id: Optional user ID for tracking - - Returns: - LiteLLM_SkillsTable record - """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() - store = LiteLLMSkillsStore(prisma_client) skill_id = f"litellm_skill_{uuid.uuid4()}" owner = get_primary_resource_owner_scope(user_api_key_dict) or user_id if owner is None: - # Caller has no identity scope (no user_id / team_id / org_id / - # api_key / token). Stamping a placeholder would let any two - # identity-less callers see each other's skills via the shared - # owner — the cross-tenant primitive we avoid. ValueError keeps - # this module FastAPI-free per the project layering rule - # (litellm_proxy provider integrations live outside proxy/). + # Identity-less callers (no user_id / team_id / org_id / + # api_key / token) can't be uniquely stamped on the row. + # Stamping a placeholder would let any two such callers see + # each other's skills via the shared owner. ValueError keeps + # this module FastAPI-free per the project layering rule. raise ValueError( "Unable to record skill ownership: caller has no identity scope." ) @@ -154,13 +89,11 @@ class LiteLLMSkillsHandler: "updated_by": owner, } - # Handle metadata if data.metadata is not None: from litellm.litellm_core_utils.safe_json_dumps import safe_dumps skill_data["metadata"] = safe_dumps(data.metadata) - # Handle file content - wrap bytes in Base64 for Prisma if data.file_content is not None: from prisma.fields import Base64 @@ -174,8 +107,7 @@ class LiteLLMSkillsHandler: f"LiteLLMSkillsHandler: Creating skill {skill_id} with title={data.display_title}" ) - new_skill = await store.create_skill(skill_data) - + new_skill = await prisma_client.db.litellm_skillstable.create(data=skill_data) return _prisma_skill_to_litellm(new_skill) @staticmethod @@ -184,18 +116,7 @@ class LiteLLMSkillsHandler: offset: int = 0, user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> List[LiteLLM_SkillsTable]: - """ - List skills from the LiteLLM database. - - Args: - limit: Maximum number of skills to return - offset: Number of skills to skip - - Returns: - List of LiteLLM_SkillsTable records - """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() - store = LiteLLMSkillsStore(prisma_client) verbose_logger.debug( f"LiteLLMSkillsHandler: Listing skills with limit={limit}, offset={offset}" @@ -212,26 +133,29 @@ class LiteLLMSkillsHandler: return [] find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}} - skills = await store.list_skills(find_many_kwargs) - + skills = await prisma_client.db.litellm_skillstable.find_many( + **find_many_kwargs + ) return [_prisma_skill_to_litellm(s) for s in skills] @staticmethod async def _load_skill(skill_id: str) -> Optional[Any]: - """Cache-first read of the Prisma skill row. - - Caching here keeps `fetch_skill_from_db` (called per chat completion in - the skills injection hook) off the DB. Owner-scope filtering happens - on the cached row, so the cache is per-skill and not per-caller. + """Cache-first read of the Prisma skill row. Owner-scope filtering + happens on the cached row, so the cache is per-skill not per-caller. """ - cached_hit, cached_skill = _read_skill_cache(skill_id) - if cached_hit: - return cached_skill + cached = _SKILL_CACHE.get_cache(skill_id) + if cached == _NEGATIVE_SKILL_SENTINEL: + return None + if cached is not None: + return cached prisma_client = await LiteLLMSkillsHandler._get_prisma_client() - store = LiteLLMSkillsStore(prisma_client) - skill = await store.find_skill(skill_id) - _write_skill_cache(skill_id, skill) + skill = await prisma_client.db.litellm_skillstable.find_unique( + where={"skill_id": skill_id} + ) + _SKILL_CACHE.set_cache( + skill_id, skill if skill is not None else _NEGATIVE_SKILL_SENTINEL + ) return skill @staticmethod @@ -239,26 +163,12 @@ class LiteLLMSkillsHandler: skill_id: str, user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> LiteLLM_SkillsTable: - """ - Get a skill by ID from the LiteLLM database. - - Args: - skill_id: The skill ID to retrieve - - Returns: - LiteLLM_SkillsTable record - - Raises: - ValueError: If skill not found - """ verbose_logger.debug(f"LiteLLMSkillsHandler: Getting skill {skill_id}") skill = await LiteLLMSkillsHandler._load_skill(skill_id) - - if skill is None: - raise ValueError(f"Skill not found: {skill_id}") - - if not _user_can_access_skill_owner( + # Same "not found" message for both "missing" and "cross-tenant" + # so callers can't enumerate skill IDs they don't own. + if skill is None or not user_can_access_resource_owner( getattr(skill, "created_by", None), user_api_key_dict ): raise ValueError(f"Skill not found: {skill_id}") @@ -270,37 +180,17 @@ class LiteLLMSkillsHandler: skill_id: str, user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> Dict[str, str]: - """ - Delete a skill by ID from the LiteLLM database. - - Args: - skill_id: The skill ID to delete - - Returns: - Dict with id and type of deleted skill - - Raises: - ValueError: If skill not found - """ prisma_client = await LiteLLMSkillsHandler._get_prisma_client() - store = LiteLLMSkillsStore(prisma_client) - verbose_logger.debug(f"LiteLLMSkillsHandler: Deleting skill {skill_id}") - # Check if skill exists skill = await LiteLLMSkillsHandler._load_skill(skill_id) - - if skill is None: - raise ValueError(f"Skill not found: {skill_id}") - - if not _user_can_access_skill_owner( + if skill is None or not user_can_access_resource_owner( getattr(skill, "created_by", None), user_api_key_dict ): raise ValueError(f"Skill not found: {skill_id}") - # Delete the skill - await store.delete_skill(skill_id) - _invalidate_skill_cache(skill_id) + await prisma_client.db.litellm_skillstable.delete(where={"skill_id": skill_id}) + _SKILL_CACHE.set_cache(skill_id, _NEGATIVE_SKILL_SENTINEL) return {"id": skill_id, "type": "skill_deleted"} @@ -309,22 +199,11 @@ class LiteLLMSkillsHandler: skill_id: str, user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> Optional[LiteLLM_SkillsTable]: - """ - Fetch a skill from the database (used by skills injection hook). - - This is a convenience method that returns None instead of raising - an exception if the skill is not found. - - Args: - skill_id: The skill ID to fetch - - Returns: - LiteLLM_SkillsTable or None if not found - """ + """Skills-injection-hook helper: returns None instead of raising on + not-found / not-authorized so the hook can silently skip.""" try: return await LiteLLMSkillsHandler.get_skill( - skill_id, - user_api_key_dict=user_api_key_dict, + skill_id, user_api_key_dict=user_api_key_dict ) except ValueError: return None diff --git a/litellm/llms/litellm_proxy/skills/store.py b/litellm/llms/litellm_proxy/skills/store.py deleted file mode 100644 index 6e69a7a9625..00000000000 --- a/litellm/llms/litellm_proxy/skills/store.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any, Dict, List, Optional - - -class LiteLLMSkillsStore: - def __init__(self, prisma_client: Any): - self.prisma_client = prisma_client - - @property - def _table(self) -> Any: - return self.prisma_client.db.litellm_skillstable - - async def create_skill(self, data: Dict[str, Any]) -> Any: - return await self._table.create(data=data) - - async def list_skills(self, find_many_kwargs: Dict[str, Any]) -> List[Any]: - return await self._table.find_many(**find_many_kwargs) - - async def find_skill(self, skill_id: str) -> Optional[Any]: - return await self._table.find_unique(where={"skill_id": skill_id}) - - async def delete_skill(self, skill_id: str) -> None: - await self._table.delete(where={"skill_id": skill_id}) diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index b5b340fe2be..137366c955a 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -1,10 +1,9 @@ -import time -from collections import OrderedDict from typing import Any, Dict, List, Optional, Set, Tuple from fastapi import HTTPException from litellm._logging import verbose_proxy_logger +from litellm.caching.in_memory_cache import InMemoryCache from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.common_utils.resource_ownership import ( get_primary_resource_owner_scope, @@ -12,75 +11,26 @@ from litellm.proxy.common_utils.resource_ownership import ( is_proxy_admin, user_can_access_resource_owner, ) -from litellm.proxy.container_endpoints.ownership_store import ( - CONTAINER_OBJECT_PURPOSE, - ContainerOwnershipStore, -) from litellm.responses.utils import ResponsesAPIRequestUtils -MAX_IN_MEMORY_CONTAINER_OWNERS = 10000 -_IN_MEMORY_CONTAINER_OWNERS: "OrderedDict[str, str]" = OrderedDict() +CONTAINER_OBJECT_PURPOSE = "container" -# Short-lived cache keeps every container access check from hitting the DB -# (`_get_container_owner` is invoked on retrieve / delete / list / file-content -# paths). Mirrors the `_byok_cred_cache` pattern in mcp_server/server.py: -# (value, monotonic_timestamp) tuples, TTL'd, LRU-evicted at capacity, -# invalidated by writes. A ``None`` value caches "untracked" so repeated -# negative lookups also avoid DB. -_CONTAINER_OWNER_CACHE: "OrderedDict[str, Tuple[Optional[str], float]]" = OrderedDict() -_CONTAINER_OWNER_CACHE_TTL = 60 # seconds -_CONTAINER_OWNER_CACHE_MAX_SIZE = 10000 - - -def _read_container_owner_cache(model_object_id: str) -> Tuple[bool, Optional[str]]: - """Return (hit, value). hit=False means caller must consult the DB.""" - entry = _CONTAINER_OWNER_CACHE.get(model_object_id) - if entry is None: - return False, None - value, timestamp = entry - if time.monotonic() - timestamp > _CONTAINER_OWNER_CACHE_TTL: - _CONTAINER_OWNER_CACHE.pop(model_object_id, None) - return False, None - _CONTAINER_OWNER_CACHE.move_to_end(model_object_id) - return True, value - - -def _write_container_owner_cache(model_object_id: str, owner: Optional[str]) -> None: - # LRU eviction (popitem(last=False)) instead of full ``clear()`` — a - # full clear at capacity converts a steady-state cached workload into - # a periodic full-DB-load oscillation as the cache repopulates from - # zero and clears again. - if model_object_id in _CONTAINER_OWNER_CACHE: - _CONTAINER_OWNER_CACHE.move_to_end(model_object_id) - _CONTAINER_OWNER_CACHE[model_object_id] = (owner, time.monotonic()) - while len(_CONTAINER_OWNER_CACHE) > _CONTAINER_OWNER_CACHE_MAX_SIZE: - _CONTAINER_OWNER_CACHE.popitem(last=False) - - -def _invalidate_container_owner_cache(model_object_id: str) -> None: - """Drop a cache entry after a write so the next read sees the new owner.""" - _CONTAINER_OWNER_CACHE.pop(model_object_id, None) - - -def _remember_container_owner(model_object_id: str, owner: str) -> None: - existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - if existing_owner is not None: - _IN_MEMORY_CONTAINER_OWNERS.move_to_end(model_object_id) - _IN_MEMORY_CONTAINER_OWNERS[model_object_id] = owner - while len(_IN_MEMORY_CONTAINER_OWNERS) > MAX_IN_MEMORY_CONTAINER_OWNERS: - _IN_MEMORY_CONTAINER_OWNERS.popitem(last=False) +# 60s LRU/TTL cache absorbs every container access check before it reaches +# Prisma. ``_NEGATIVE_OWNER_SENTINEL`` lets us cache a true "untracked" +# answer so repeated misses also avoid the DB — ``InMemoryCache`` returns +# ``None`` indistinguishably for "miss" and "cached as None". +_NEGATIVE_OWNER_SENTINEL = "__litellm_container_no_owner__" +_CONTAINER_OWNER_CACHE = InMemoryCache(max_size_in_memory=10000, default_ttl=60) def _container_model_object_id( - original_container_id: str, - custom_llm_provider: str, + original_container_id: str, custom_llm_provider: str ) -> str: return f"{CONTAINER_OBJECT_PURPOSE}:{custom_llm_provider}:{original_container_id}" def decode_container_id_for_ownership( - container_id: str, - custom_llm_provider: str, + container_id: str, custom_llm_provider: str ) -> Tuple[str, str]: decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) original_container_id = decoded.get("response_id", container_id) @@ -91,9 +41,7 @@ def decode_container_id_for_ownership( def get_container_forwarding_params( - container_id: str, - original_container_id: str, - custom_llm_provider: str, + container_id: str, original_container_id: str, custom_llm_provider: str ) -> Dict[str, str]: params = { "container_id": original_container_id, @@ -147,122 +95,93 @@ async def record_container_owner( ) return response if owner is None: - # Caller has no identity (no user_id / team_id / org_id / api_key / - # token) we can stamp on the row. Recording with a placeholder - # would collapse every such caller into a single shared owner — - # the cross-tenant data-access primitive we explicitly avoid. - # Reject with 403 rather than fall back to a sentinel. + # Identity-less callers (no user_id / team_id / org_id / api_key / + # token) can't be uniquely stamped on the row. Stamping a + # placeholder would collapse every such caller into a shared + # owner — the cross-tenant primitive we explicitly avoid. raise HTTPException( status_code=403, detail="Unable to record container ownership: caller has no identity scope.", ) original_container_id, resolved_provider = decode_container_id_for_ownership( - container_id, - custom_llm_provider, + container_id, custom_llm_provider ) model_object_id = _container_model_object_id( - original_container_id, - resolved_provider, + original_container_id, resolved_provider ) file_object = _dump_response(response) file_object["custom_llm_provider"] = resolved_provider file_object["provider_container_id"] = original_container_id - try: - prisma_client = await _get_prisma_client() - if prisma_client is None: - existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - if existing_owner is not None and not user_can_access_resource_owner( - existing_owner, user_api_key_dict - ): - raise HTTPException(status_code=403, detail="Forbidden") - _remember_container_owner(model_object_id, owner) - _invalidate_container_owner_cache(model_object_id) - return response - - store = ContainerOwnershipStore(prisma_client) - existing = await store.find_by_model_object_id(model_object_id) - if existing is not None: - if getattr(existing, "file_purpose", None) != CONTAINER_OBJECT_PURPOSE: - raise HTTPException(status_code=500, detail="Unable to track container") - if not user_can_access_resource_owner( - getattr(existing, "created_by", None), user_api_key_dict - ): - raise HTTPException(status_code=403, detail="Forbidden") - await store.update_owner_record( - model_object_id=model_object_id, - data={ - "unified_object_id": container_id, - "file_object": file_object, - "updated_by": owner, - }, - ) - else: - await store.create_owner_record( - data={ - "unified_object_id": container_id, - "model_object_id": model_object_id, - "file_object": file_object, - "file_purpose": CONTAINER_OBJECT_PURPOSE, - "created_by": owner, - "updated_by": owner, - } - ) - except HTTPException: - raise - except Exception as e: + prisma_client = await _get_prisma_client() + if prisma_client is None: verbose_proxy_logger.warning( - "Failed to persist container ownership for container_id=%s; " - "falling back to in-process tracking: %s", - model_object_id, - e, + "Skipping container ownership tracking because prisma_client is None" ) - existing_owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - if existing_owner is not None and not user_can_access_resource_owner( - existing_owner, user_api_key_dict + return response + + table = prisma_client.db.litellm_managedobjecttable + existing = await table.find_unique(where={"model_object_id": model_object_id}) + if existing is not None: + if getattr(existing, "file_purpose", None) != CONTAINER_OBJECT_PURPOSE: + raise HTTPException(status_code=500, detail="Unable to track container") + if not user_can_access_resource_owner( + getattr(existing, "created_by", None), user_api_key_dict ): raise HTTPException(status_code=403, detail="Forbidden") - _remember_container_owner(model_object_id, owner) + await table.update( + where={"model_object_id": model_object_id}, + data={ + "unified_object_id": container_id, + "file_object": file_object, + "updated_by": owner, + }, + ) + else: + await table.create( + data={ + "unified_object_id": container_id, + "model_object_id": model_object_id, + "file_object": file_object, + "file_purpose": CONTAINER_OBJECT_PURPOSE, + "created_by": owner, + "updated_by": owner, + } + ) - _invalidate_container_owner_cache(model_object_id) + _CONTAINER_OWNER_CACHE.set_cache(model_object_id, owner) return response async def _get_container_owner( - original_container_id: str, - custom_llm_provider: str, + original_container_id: str, custom_llm_provider: str ) -> Optional[str]: model_object_id = _container_model_object_id( - original_container_id, - custom_llm_provider, + original_container_id, custom_llm_provider ) - cached_hit, cached_value = _read_container_owner_cache(model_object_id) - if cached_hit: - return cached_value + cached = _CONTAINER_OWNER_CACHE.get_cache(model_object_id) + if cached == _NEGATIVE_OWNER_SENTINEL: + return None + if cached is not None: + return cached - try: - prisma_client = await _get_prisma_client() - if prisma_client is None: - owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - _write_container_owner_cache(model_object_id, owner) - return owner + prisma_client = await _get_prisma_client() + if prisma_client is None: + return None - owner = await ContainerOwnershipStore(prisma_client).get_owner(model_object_id) - if owner is None: - owner = _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) - _write_container_owner_cache(model_object_id, owner) - return owner - except Exception as e: - verbose_proxy_logger.warning( - "Failed to load container ownership for container_id=%s; " - "falling back to in-process tracking: %s", - model_object_id, - e, - ) - # Don't cache transient DB errors — let the next request retry. - return _IN_MEMORY_CONTAINER_OWNERS.get(model_object_id) + row = await prisma_client.db.litellm_managedobjecttable.find_first( + where={ + "model_object_id": model_object_id, + "file_purpose": CONTAINER_OBJECT_PURPOSE, + } + ) + owner = getattr(row, "created_by", None) if row is not None else None + _CONTAINER_OWNER_CACHE.set_cache( + model_object_id, owner if owner is not None else _NEGATIVE_OWNER_SENTINEL + ) + return owner async def assert_user_can_access_container( @@ -271,17 +190,15 @@ async def assert_user_can_access_container( custom_llm_provider: str, ) -> Tuple[str, str]: original_container_id, resolved_provider = decode_container_id_for_ownership( - container_id, - custom_llm_provider, + container_id, custom_llm_provider ) if is_proxy_admin(user_api_key_dict): return original_container_id, resolved_provider - # Untracked containers (no ownership row) are admin-only. Pre-isolation - # rows that pre-date this enforcement need the admin to either re-create - # via the now-tracked flow or explicitly assign ``created_by`` on the - # ``litellm_managedobjecttable`` row. + # Untracked rows (no ownership) are admin-only. Pre-isolation rows + # that pre-date this enforcement need an admin to either re-create + # via the now-tracked flow or assign ``created_by`` on the row. owner = await _get_container_owner(original_container_id, resolved_provider) if not user_can_access_resource_owner(owner, user_api_key_dict): raise HTTPException(status_code=403, detail="Forbidden") @@ -327,35 +244,26 @@ def _set_container_list_data( async def _get_allowed_container_ids( user_api_key_dict: UserAPIKeyAuth, - custom_llm_provider: str, ) -> Set[str]: owner_scopes = get_resource_owner_scopes(user_api_key_dict) if not owner_scopes: return set() - in_memory_allowed_ids = { - model_object_id - for model_object_id, owner in _IN_MEMORY_CONTAINER_OWNERS.items() - if owner in owner_scopes - } - try: - prisma_client = await _get_prisma_client() - if prisma_client is None: - return in_memory_allowed_ids + prisma_client = await _get_prisma_client() + if prisma_client is None: + return set() - db_allowed_ids = await ContainerOwnershipStore( - prisma_client - ).list_model_object_ids_for_owners( - owner_scopes=owner_scopes, - ) - return in_memory_allowed_ids | db_allowed_ids - except Exception as e: - verbose_proxy_logger.warning( - "Failed to load allowed container ids; falling back to in-process " - "tracking: %s", - e, - ) - return in_memory_allowed_ids + rows = await prisma_client.db.litellm_managedobjecttable.find_many( + where={ + "file_purpose": CONTAINER_OBJECT_PURPOSE, + "created_by": {"in": owner_scopes}, + } + ) + return { + row.model_object_id + for row in rows + if getattr(row, "model_object_id", None) is not None + } async def filter_container_list_response( @@ -370,18 +278,14 @@ async def filter_container_list_response( if data is None: return response - allowed_container_ids = await _get_allowed_container_ids( - user_api_key_dict, - custom_llm_provider, - ) + allowed_container_ids = await _get_allowed_container_ids(user_api_key_dict) filtered: List[Any] = [] for item in data: container_id = _get_response_id(item) if container_id is None: continue original_container_id, resolved_provider = decode_container_id_for_ownership( - container_id, - custom_llm_provider, + container_id, custom_llm_provider ) if ( _container_model_object_id(original_container_id, resolved_provider) @@ -390,7 +294,5 @@ async def filter_container_list_response( filtered.append(item) return _set_container_list_data( - response, - filtered, - removed_filtered_items=len(filtered) != len(data), + response, filtered, removed_filtered_items=len(filtered) != len(data) ) diff --git a/litellm/proxy/container_endpoints/ownership_store.py b/litellm/proxy/container_endpoints/ownership_store.py deleted file mode 100644 index b3c406f618d..00000000000 --- a/litellm/proxy/container_endpoints/ownership_store.py +++ /dev/null @@ -1,55 +0,0 @@ -from typing import Any, Dict, List, Optional, Set - -CONTAINER_OBJECT_PURPOSE = "container" - - -class ContainerOwnershipStore: - def __init__(self, prisma_client: Any): - self.prisma_client = prisma_client - - @property - def _table(self) -> Any: - return self.prisma_client.db.litellm_managedobjecttable - - async def find_by_model_object_id(self, model_object_id: str) -> Optional[Any]: - return await self._table.find_unique(where={"model_object_id": model_object_id}) - - async def create_owner_record(self, data: Dict[str, Any]) -> None: - await self._table.create(data=data) - - async def update_owner_record( - self, - model_object_id: str, - data: Dict[str, Any], - ) -> None: - await self._table.update( - where={"model_object_id": model_object_id}, - data=data, - ) - - async def get_owner(self, model_object_id: str) -> Optional[str]: - row = await self._table.find_first( - where={ - "model_object_id": model_object_id, - "file_purpose": CONTAINER_OBJECT_PURPOSE, - } - ) - if row is None: - return None - return getattr(row, "created_by", None) - - async def list_model_object_ids_for_owners( - self, - owner_scopes: List[str], - ) -> Set[str]: - rows = await self._table.find_many( - where={ - "file_purpose": CONTAINER_OBJECT_PURPOSE, - "created_by": {"in": owner_scopes}, - } - ) - return { - row.model_object_id - for row in rows - if getattr(row, "model_object_id", None) is not None - } diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 850c5a96e53..b046fa1536b 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -12,12 +12,12 @@ from litellm.types.containers.main import ContainerListResponse, ContainerObject @pytest.fixture(autouse=True) -def clear_in_memory_container_owners(): - ownership._IN_MEMORY_CONTAINER_OWNERS.clear() - ownership._CONTAINER_OWNER_CACHE.clear() +def clear_container_owner_cache(): + ownership._CONTAINER_OWNER_CACHE.cache_dict.clear() + ownership._CONTAINER_OWNER_CACHE.ttl_dict.clear() yield - ownership._IN_MEMORY_CONTAINER_OWNERS.clear() - ownership._CONTAINER_OWNER_CACHE.clear() + ownership._CONTAINER_OWNER_CACHE.cache_dict.clear() + ownership._CONTAINER_OWNER_CACHE.ttl_dict.clear() def _container(container_id: str) -> ContainerObject: @@ -159,7 +159,6 @@ async def test_should_reject_record_for_identityless_proxy_auth(monkeypatch): ) assert exc.value.status_code == 403 assert "identity scope" in str(exc.value.detail) - assert ownership._IN_MEMORY_CONTAINER_OWNERS == {} @pytest.mark.asyncio @@ -186,106 +185,6 @@ async def test_should_skip_owner_record_when_provider_response_has_no_id(monkeyp table.create.assert_not_awaited() -@pytest.mark.asyncio -async def test_should_fallback_to_memory_when_persistent_owner_record_fails( - monkeypatch, -): - table = AsyncMock() - table.find_unique.side_effect = Exception("db unavailable") - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - await ownership.record_container_owner( - response=_container("cntr_provider"), - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert ( - ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_provider"] - == "user-1" - ) - - -@pytest.mark.asyncio -async def test_should_track_container_owner_in_memory_without_prisma(monkeypatch): - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=None), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - await ownership.record_container_owner( - response=_container("cntr_provider"), - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - original_id, provider = await ownership.assert_user_can_access_container( - container_id="cntr_provider", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert original_id == "cntr_provider" - assert provider == "openai" - - -@pytest.mark.asyncio -async def test_should_bound_in_memory_container_owner_tracking(monkeypatch): - monkeypatch.setattr(ownership, "MAX_IN_MEMORY_CONTAINER_OWNERS", 2) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=None), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - for container_id in ("cntr_1", "cntr_2", "cntr_3"): - await ownership.record_container_owner( - response=_container(container_id), - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert list(ownership._IN_MEMORY_CONTAINER_OWNERS.keys()) == [ - "container:openai:cntr_2", - "container:openai:cntr_3", - ] - - -@pytest.mark.asyncio -async def test_should_deny_container_access_for_different_owner(monkeypatch): - table = AsyncMock() - table.find_first.return_value = SimpleNamespace(created_by="user-2") - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - with pytest.raises(HTTPException) as exc: - await ownership.assert_user_can_access_container( - container_id="cntr_provider", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert exc.value.status_code == 403 - - @pytest.mark.asyncio async def test_should_deny_untracked_container_access_by_default(monkeypatch): monkeypatch.setattr( @@ -305,103 +204,6 @@ async def test_should_deny_untracked_container_access_by_default(monkeypatch): assert exc.value.status_code == 403 -@pytest.mark.asyncio -async def test_should_fallback_to_memory_when_owner_lookup_fails(monkeypatch): - table = AsyncMock() - table.find_first.side_effect = Exception("db unavailable") - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" - auth = UserAPIKeyAuth(user_id="user-1") - - original_id, provider = await ownership.assert_user_can_access_container( - container_id="cntr_owned", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert original_id == "cntr_owned" - assert provider == "openai" - - -@pytest.mark.asyncio -async def test_should_use_memory_owner_when_db_recovers_without_row(monkeypatch): - table = AsyncMock() - table.find_first.return_value = None - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" - auth = UserAPIKeyAuth(user_id="user-1") - - original_id, provider = await ownership.assert_user_can_access_container( - container_id="cntr_owned", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert original_id == "cntr_owned" - assert provider == "openai" - - -@pytest.mark.asyncio -async def test_should_fail_closed_when_owner_lookup_fails_without_memory(monkeypatch): - table = AsyncMock() - table.find_first.side_effect = Exception("db unavailable") - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - with pytest.raises(HTTPException) as exc: - await ownership.assert_user_can_access_container( - container_id="cntr_owned", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert exc.value.status_code == 403 - - -@pytest.mark.asyncio -async def test_untracked_container_is_admin_only(monkeypatch): - """Pre-isolation containers with no ownership row are admin-only. - Non-admin callers see them as 403, with no opt-out flag re-opening - the cross-tenant access primitive.""" - from fastapi import HTTPException - - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=None), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - with pytest.raises(HTTPException) as exc: - await ownership.assert_user_can_access_container( - container_id="cntr_untracked", - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - assert exc.value.status_code == 403 - - @pytest.mark.asyncio async def test_should_not_reassign_existing_container_to_different_owner(monkeypatch): table = AsyncMock() @@ -536,165 +338,6 @@ async def test_should_clear_dict_has_more_when_filtered_container_list_is_empty( assert filtered["has_more"] is False -@pytest.mark.asyncio -async def test_should_filter_container_list_with_in_memory_ownership(monkeypatch): - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=None), - ) - auth = UserAPIKeyAuth(user_id="user-1") - - await ownership.record_container_owner( - response=_container("cntr_owned"), - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - response = ContainerListResponse( - object="list", - data=[_container("cntr_owned"), _container("cntr_other")], - has_more=False, - ) - - filtered = await ownership.filter_container_list_response( - response=response, - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert [item.id for item in filtered.data] == ["cntr_owned"] - - -@pytest.mark.asyncio -async def test_should_filter_container_list_with_memory_when_db_lookup_fails( - monkeypatch, -): - table = AsyncMock() - table.find_many.side_effect = Exception("db unavailable") - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" - auth = UserAPIKeyAuth(user_id="user-1") - response = ContainerListResponse( - object="list", - data=[_container("cntr_owned"), _container("cntr_other")], - has_more=True, - ) - - filtered = await ownership.filter_container_list_response( - response=response, - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert [item.id for item in filtered.data] == ["cntr_owned"] - assert filtered.has_more is False - - -@pytest.mark.asyncio -async def test_should_include_memory_container_list_when_db_recovers_without_row( - monkeypatch, -): - table = AsyncMock() - table.find_many.return_value = [] - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - ownership._IN_MEMORY_CONTAINER_OWNERS["container:openai:cntr_owned"] = "user-1" - auth = UserAPIKeyAuth(user_id="user-1") - response = ContainerListResponse( - object="list", - data=[_container("cntr_owned"), _container("cntr_other")], - has_more=True, - ) - - filtered = await ownership.filter_container_list_response( - response=response, - user_api_key_dict=auth, - custom_llm_provider="openai", - ) - - assert [item.id for item in filtered.data] == ["cntr_owned"] - assert filtered.has_more is False - - -@pytest.mark.asyncio -async def test_should_validate_owner_and_forward_decoded_id_for_proxy_forwarding( - monkeypatch, -): - from litellm.proxy.container_endpoints import handler_factory - - proxy_server_stub = SimpleNamespace( - general_settings={}, - llm_router=None, - proxy_config=None, - proxy_logging_obj=None, - select_data_generator=None, - user_api_base=None, - user_max_tokens=None, - user_model=None, - user_request_timeout=None, - user_temperature=None, - version="test", - ) - monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub) - - captured = {} - - class FakeProcessor: - def __init__(self, data): - captured["data"] = data - - async def base_process_llm_request(self, **kwargs): - return captured["data"] - - async def _handle_llm_api_exception(self, **kwargs): - raise kwargs["e"] - - monkeypatch.setattr( - handler_factory, - "ProxyBaseLLMRequestProcessing", - FakeProcessor, - ) - access_check = AsyncMock(return_value=("cntr_provider", "azure")) - monkeypatch.setattr( - handler_factory, - "assert_user_can_access_container", - access_check, - ) - encoded_id = ResponsesAPIRequestUtils._build_container_id( - custom_llm_provider="azure", - model_id="router-gpt", - container_id="cntr_provider", - ) - - result = await handler_factory._process_request( - request=SimpleNamespace(query_params={}, headers={}), - fastapi_response=SimpleNamespace(), - user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), - route_type="alist_container_files", - path_params={"container_id": encoded_id}, - ) - - access_check.assert_awaited_once() - assert access_check.await_args.kwargs["container_id"] == encoded_id - assert result["container_id"] == "cntr_provider" - assert result["custom_llm_provider"] == "azure" - assert result["model_id"] == "router-gpt" - - @pytest.mark.asyncio async def test_should_validate_owner_and_forward_decoded_id_for_multipart_upload( monkeypatch, @@ -1158,93 +801,3 @@ async def test_get_container_owner_caches_negative_lookups(monkeypatch): assert await ownership._get_container_owner("cntr_x", "openai") is None assert await ownership._get_container_owner("cntr_x", "openai") is None assert table.find_first.await_count == 1 - - -@pytest.mark.asyncio -async def test_record_container_owner_invalidates_cache(monkeypatch): - """A recorded owner must drop the cached value so the next read re-fetches. - - Otherwise a stale `None` from a prior negative lookup would survive the - create and the new owner would be invisible until the TTL elapses. - """ - # Seed the cache with a stale negative result. - ownership._write_container_owner_cache("container:openai:cntr_new", None) - cached_hit, cached_value = ownership._read_container_owner_cache( - "container:openai:cntr_new" - ) - assert cached_hit and cached_value is None - - table = AsyncMock() - table.find_unique.return_value = None - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - - await ownership.record_container_owner( - response=_container("cntr_new"), - user_api_key_dict=UserAPIKeyAuth(user_id="user-1"), - custom_llm_provider="openai", - ) - - # Invalidation drops the entry — next read goes to the DB. - cached_hit, _ = ownership._read_container_owner_cache("container:openai:cntr_new") - assert not cached_hit - - -@pytest.mark.asyncio -async def test_get_container_owner_does_not_cache_on_db_error(monkeypatch): - """DB errors must skip caching so transient failures don't pin a `None`.""" - table = AsyncMock() - table.find_first.side_effect = Exception("db unavailable") - prisma_client = SimpleNamespace( - db=SimpleNamespace(litellm_managedobjecttable=table) - ) - monkeypatch.setattr( - ownership, - "_get_prisma_client", - AsyncMock(return_value=prisma_client), - ) - - result = await ownership._get_container_owner("cntr_x", "openai") - assert result is None - cached_hit, _ = ownership._read_container_owner_cache("container:openai:cntr_x") - assert not cached_hit - - -def test_container_owner_cache_expires_after_ttl(monkeypatch): - """Entries past the TTL count as misses so writes elsewhere are eventually - visible to this process.""" - monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_TTL", 0.0) - ownership._write_container_owner_cache("k", "user-1") - cached_hit, _ = ownership._read_container_owner_cache("k") - # TTL of 0 means anything in the cache is already stale. - assert not cached_hit - - -def test_container_owner_cache_evicts_when_at_capacity(monkeypatch): - """The cache must not grow unbounded; reaching capacity LRU-evicts the - oldest entry, not the entire cache.""" - monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_MAX_SIZE", 2) - ownership._write_container_owner_cache("a", "user-a") - ownership._write_container_owner_cache("b", "user-b") - ownership._write_container_owner_cache("c", "user-c") - # ``a`` was the oldest and is dropped; ``b`` and ``c`` survive. - assert list(ownership._CONTAINER_OWNER_CACHE.keys()) == ["b", "c"] - - -def test_container_owner_cache_read_marks_as_recently_used(monkeypatch): - """Reading an entry should reset its position so a subsequent eviction - drops a less-recently-used entry instead of the just-touched one.""" - monkeypatch.setattr(ownership, "_CONTAINER_OWNER_CACHE_MAX_SIZE", 2) - ownership._write_container_owner_cache("a", "user-a") - ownership._write_container_owner_cache("b", "user-b") - # Touch ``a`` so it becomes the most-recently-used. - ownership._read_container_owner_cache("a") - ownership._write_container_owner_cache("c", "user-c") - # ``b`` is the LRU at this point; ``a`` and ``c`` survive. - assert list(ownership._CONTAINER_OWNER_CACHE.keys()) == ["a", "c"] diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py index c6dd6c4e33c..3ffba9723bd 100644 --- a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py +++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py @@ -19,9 +19,11 @@ from litellm.skills import main as skills_main @pytest.fixture(autouse=True) def clear_skill_cache(): - skills_handler._SKILL_CACHE.clear() + skills_handler._SKILL_CACHE.cache_dict.clear() + skills_handler._SKILL_CACHE.ttl_dict.clear() yield - skills_handler._SKILL_CACHE.clear() + skills_handler._SKILL_CACHE.cache_dict.clear() + skills_handler._SKILL_CACHE.ttl_dict.clear() def _skill(skill_id: str, created_by: str | None) -> LiteLLM_SkillsTable: @@ -440,99 +442,75 @@ async def test_should_scope_skill_injection_fetch_to_authenticated_user(monkeypa @pytest.mark.asyncio async def test_load_skill_uses_cache_after_first_db_hit(monkeypatch): - """`fetch_skill_from_db` is hit per-chat-completion; the cache absorbs + """``fetch_skill_from_db`` runs per chat-completion; the cache absorbs repeats so we don't issue a Prisma query on every request.""" fake_skill = Mock(created_by="user-1", skill_id="litellm_skill_a") - store_factory = AsyncMock() - store = Mock() - store.find_skill = AsyncMock(return_value=fake_skill) + table = AsyncMock() + table.find_unique = AsyncMock(return_value=fake_skill) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() monkeypatch.setattr( skills_handler.LiteLLMSkillsHandler, "_get_prisma_client", - AsyncMock(return_value=store_factory), - ) - monkeypatch.setattr( - skills_handler, - "LiteLLMSkillsStore", - Mock(return_value=store), + AsyncMock(return_value=prisma_client), ) - first = await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") - second = await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") - third = await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") - - assert first is fake_skill - assert second is fake_skill - assert third is fake_skill - assert store.find_skill.await_count == 1 + for _ in range(3): + assert ( + await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") + is fake_skill + ) + assert table.find_unique.await_count == 1 @pytest.mark.asyncio async def test_load_skill_caches_negative_lookups(monkeypatch): - """Missing skills must cache as `None` so repeated lookups skip the DB.""" - store_factory = AsyncMock() - store = Mock() - store.find_skill = AsyncMock(return_value=None) + """Missing skills cache as the negative sentinel so repeated misses skip + the DB and the caller still sees ``None``.""" + table = AsyncMock() + table.find_unique = AsyncMock(return_value=None) + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() monkeypatch.setattr( skills_handler.LiteLLMSkillsHandler, "_get_prisma_client", - AsyncMock(return_value=store_factory), - ) - monkeypatch.setattr( - skills_handler, - "LiteLLMSkillsStore", - Mock(return_value=store), + AsyncMock(return_value=prisma_client), ) assert await skills_handler.LiteLLMSkillsHandler._load_skill("missing") is None assert await skills_handler.LiteLLMSkillsHandler._load_skill("missing") is None - assert store.find_skill.await_count == 1 + assert table.find_unique.await_count == 1 @pytest.mark.asyncio async def test_delete_skill_invalidates_cache(monkeypatch): - """After delete, the next read must consult the DB rather than the cached - pre-delete row.""" + """After delete, the next read should not see the pre-delete cached row.""" fake_skill = Mock(created_by="user-1", skill_id="litellm_skill_a") - store = Mock() - store.find_skill = AsyncMock(return_value=fake_skill) - store.delete_skill = AsyncMock() + table = AsyncMock() + table.find_unique = AsyncMock(return_value=fake_skill) + table.delete = AsyncMock() + prisma_client = type( + "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()} + )() monkeypatch.setattr( skills_handler.LiteLLMSkillsHandler, "_get_prisma_client", - AsyncMock(return_value=Mock()), - ) - monkeypatch.setattr( - skills_handler, - "LiteLLMSkillsStore", - Mock(return_value=store), + AsyncMock(return_value=prisma_client), ) # Prime the cache via the read path. await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a") - cached_hit, _ = skills_handler._read_skill_cache("litellm_skill_a") - assert cached_hit + assert skills_handler._SKILL_CACHE.get_cache("litellm_skill_a") is fake_skill auth = UserAPIKeyAuth(user_id="user-1") await skills_handler.LiteLLMSkillsHandler.delete_skill( "litellm_skill_a", user_api_key_dict=auth ) - cached_hit_after, _ = skills_handler._read_skill_cache("litellm_skill_a") - assert not cached_hit_after - - -def test_skill_cache_expires_after_ttl(monkeypatch): - monkeypatch.setattr(skills_handler, "_SKILL_CACHE_TTL", 0.0) - skills_handler._write_skill_cache("k", Mock()) - cached_hit, _ = skills_handler._read_skill_cache("k") - assert not cached_hit - - -def test_skill_cache_evicts_when_at_capacity(monkeypatch): - monkeypatch.setattr(skills_handler, "_SKILL_CACHE_MAX_SIZE", 2) - skills_handler._write_skill_cache("a", Mock()) - skills_handler._write_skill_cache("b", Mock()) - skills_handler._write_skill_cache("c", Mock()) - # ``a`` was the oldest and is LRU-evicted; ``b`` and ``c`` survive. - assert list(skills_handler._SKILL_CACHE.keys()) == ["b", "c"] + # Post-delete, the cache holds the negative sentinel — not the stale row. + assert ( + skills_handler._SKILL_CACHE.get_cache("litellm_skill_a") + == skills_handler._NEGATIVE_SKILL_SENTINEL + ) From 2adfa96db273e71e22bd4d772b3613a20a6b1890 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Tue, 5 May 2026 00:39:53 +0000 Subject: [PATCH 155/160] fix(container): cache list-allow-set, track admin-created containers MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Address Greptile P2 follow-ups from the prior round: * Cache ``_get_allowed_container_ids`` (60s LRU/TTL keyed by sorted owner-scope tuple) so ``GET /v1/containers`` doesn't issue a fresh ``find_many`` against ``litellm_managedobjecttable`` on every list call. Invalidate the caller's own cache entry when they record a new owner so the just-created container shows up on their next list. * Tighten the admin early-return in ``record_container_owner`` to skip ONLY when there's literally no container ID to stamp. An admin with identity (the master-key path populates ``user_id`` + ``api_key``) flows through the normal record path so admin-created containers are tracked like any other caller's. The truly-identity-less admin case still falls through to the 403 below — correct fail-secure default. Skill-cache invalidation gap (also flagged by Greptile) is moot: there is no skill update endpoint exposed; ownership-affecting mutations are only delete (already invalidates) and create (new ID, no cache entry to update). --- .../proxy/container_endpoints/ownership.py | 39 +++++- .../test_container_proxy_ownership.py | 125 +++++++++++++++++- 2 files changed, 153 insertions(+), 11 deletions(-) diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 137366c955a..41dc1f34e01 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -22,6 +22,13 @@ CONTAINER_OBJECT_PURPOSE = "container" _NEGATIVE_OWNER_SENTINEL = "__litellm_container_no_owner__" _CONTAINER_OWNER_CACHE = InMemoryCache(max_size_in_memory=10000, default_ttl=60) +# Per-caller-scope cache for ``GET /v1/containers`` list filtering. Without +# this, every list call issues a fresh ``find_many`` against +# ``litellm_managedobjecttable``. The cache key is the sorted owner-scope +# tuple — different keys for the same user share the same allow-set, but +# different users with different scopes get disjoint cache entries. +_ALLOWED_CONTAINER_IDS_CACHE = InMemoryCache(max_size_in_memory=2048, default_ttl=60) + def _container_model_object_id( original_container_id: str, custom_llm_provider: str @@ -86,19 +93,20 @@ async def record_container_owner( custom_llm_provider: str, ) -> Any: container_id = _get_response_id(response) - owner = get_primary_resource_owner_scope(user_api_key_dict) - if is_proxy_admin(user_api_key_dict) and (container_id is None or owner is None): - return response if container_id is None: verbose_proxy_logger.warning( "Skipping container ownership tracking because provider response has no id" ) return response + owner = get_primary_resource_owner_scope(user_api_key_dict) if owner is None: - # Identity-less callers (no user_id / team_id / org_id / api_key / - # token) can't be uniquely stamped on the row. Stamping a + # Admins with identity (the common path: master-key auth populates + # ``user_id`` + ``api_key``) flow through the normal record path + # below so admin-created containers are still tracked. Truly + # identity-less admins (no user_id / team_id / org_id / api_key / + # token) can't be uniquely stamped on the row — stamping a # placeholder would collapse every such caller into a shared - # owner — the cross-tenant primitive we explicitly avoid. + # owner, the cross-tenant primitive we explicitly avoid. raise HTTPException( status_code=403, detail="Unable to record container ownership: caller has no identity scope.", @@ -151,6 +159,14 @@ async def record_container_owner( ) _CONTAINER_OWNER_CACHE.set_cache(model_object_id, owner) + # Drop the caller's own list-cache entry so the just-created container + # shows up on their next ``GET /v1/containers``. Other callers with + # disjoint scope tuples have their own entries; intersecting-scope + # tuples self-correct on the 60s TTL. + caller_scope_key = "|".join(sorted(get_resource_owner_scopes(user_api_key_dict))) + if caller_scope_key: + _ALLOWED_CONTAINER_IDS_CACHE.cache_dict.pop(caller_scope_key, None) + _ALLOWED_CONTAINER_IDS_CACHE.ttl_dict.pop(caller_scope_key, None) return response @@ -249,6 +265,11 @@ async def _get_allowed_container_ids( if not owner_scopes: return set() + cache_key = "|".join(sorted(owner_scopes)) + cached = _ALLOWED_CONTAINER_IDS_CACHE.get_cache(cache_key) + if cached is not None: + return set(cached) + prisma_client = await _get_prisma_client() if prisma_client is None: return set() @@ -259,11 +280,15 @@ async def _get_allowed_container_ids( "created_by": {"in": owner_scopes}, } ) - return { + allowed_ids = { row.model_object_id for row in rows if getattr(row, "model_object_id", None) is not None } + # ``InMemoryCache`` json-encodes values; sets aren't JSON-serializable, + # so store as a list and rehydrate above. + _ALLOWED_CONTAINER_IDS_CACHE.set_cache(cache_key, sorted(allowed_ids)) + return allowed_ids async def filter_container_list_response( diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index b046fa1536b..7a6232d7ce7 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -13,11 +13,19 @@ from litellm.types.containers.main import ContainerListResponse, ContainerObject @pytest.fixture(autouse=True) def clear_container_owner_cache(): - ownership._CONTAINER_OWNER_CACHE.cache_dict.clear() - ownership._CONTAINER_OWNER_CACHE.ttl_dict.clear() + for cache in ( + ownership._CONTAINER_OWNER_CACHE, + ownership._ALLOWED_CONTAINER_IDS_CACHE, + ): + cache.cache_dict.clear() + cache.ttl_dict.clear() yield - ownership._CONTAINER_OWNER_CACHE.cache_dict.clear() - ownership._CONTAINER_OWNER_CACHE.ttl_dict.clear() + for cache in ( + ownership._CONTAINER_OWNER_CACHE, + ownership._ALLOWED_CONTAINER_IDS_CACHE, + ): + cache.cache_dict.clear() + cache.ttl_dict.clear() def _container(container_id: str) -> ContainerObject: @@ -801,3 +809,112 @@ async def test_get_container_owner_caches_negative_lookups(monkeypatch): assert await ownership._get_container_owner("cntr_x", "openai") is None assert await ownership._get_container_owner("cntr_x", "openai") is None assert table.find_first.await_count == 1 + + +@pytest.mark.asyncio +async def test_allowed_container_ids_uses_cache_after_first_db_hit(monkeypatch): + """``GET /v1/containers`` filtering must not issue a fresh ``find_many`` + on every list call within the cache TTL window.""" + table = AsyncMock() + table.find_many.return_value = [ + SimpleNamespace(model_object_id="container:openai:cntr_a"), + ] + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + first = await ownership._get_allowed_container_ids(auth) + second = await ownership._get_allowed_container_ids(auth) + third = await ownership._get_allowed_container_ids(auth) + + assert first == {"container:openai:cntr_a"} + assert second == first + assert third == first + # Single DB call across three list filterings — the cache absorbs the rest. + assert table.find_many.await_count == 1 + + +@pytest.mark.asyncio +async def test_record_container_owner_invalidates_caller_list_cache(monkeypatch): + """A just-created container must show up on the caller's next ``GET + /v1/containers`` — recording the owner has to drop the caller's + list-cache entry, otherwise the new container is invisible for up + to the cache TTL.""" + table = AsyncMock() + table.find_unique.return_value = None + table.find_many.return_value = [ + SimpleNamespace(model_object_id="container:openai:cntr_old"), + ] + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + auth = UserAPIKeyAuth(user_id="user-1") + + # Prime the list cache. + await ownership._get_allowed_container_ids(auth) + assert table.find_many.await_count == 1 + + # Recording a new owner invalidates the caller's list-cache entry. + table.find_many.return_value = [ + SimpleNamespace(model_object_id="container:openai:cntr_old"), + SimpleNamespace(model_object_id="container:openai:cntr_new"), + ] + await ownership.record_container_owner( + response=_container("cntr_new"), + user_api_key_dict=auth, + custom_llm_provider="openai", + ) + + # Next list call refreshes from DB and picks up the new container. + refreshed = await ownership._get_allowed_container_ids(auth) + assert "container:openai:cntr_new" in refreshed + assert table.find_many.await_count == 2 + + +@pytest.mark.asyncio +async def test_admin_with_identity_records_container_ownership(monkeypatch): + """The admin early-return only short-circuits when there's literally no + container ID to stamp. An admin with identity (the master-key path + populates ``user_id`` + ``api_key``) creates an owned row like any + other caller, so admin-created containers aren't permanently + untracked.""" + table = AsyncMock() + table.find_unique.return_value = None + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + admin_auth = UserAPIKeyAuth( + user_id="proxy-admin", + user_role=ownership.is_proxy_admin.__module__.split(".")[0] + and "proxy_admin", # placeholder; the create flow doesn't actually gate on the role + ) + # Use the real role enum value. + from litellm.proxy._types import LitellmUserRoles + + admin_auth.user_role = LitellmUserRoles.PROXY_ADMIN.value + + await ownership.record_container_owner( + response=_container("cntr_admin"), + user_api_key_dict=admin_auth, + custom_llm_provider="openai", + ) + + table.create.assert_awaited_once() + created_data = table.create.await_args.kwargs["data"] + assert created_data["created_by"] == "proxy-admin" From 4699b3dc8106e442d7a852e58357567f2866a9f1 Mon Sep 17 00:00:00 2001 From: user <70670632+stuxf@users.noreply.github.com> Date: Tue, 5 May 2026 00:43:47 +0000 Subject: [PATCH 156/160] chore(container): use delete_cache, json-encode scope key, clean test MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit /simplify follow-ups: * Replace the two-``pop`` reach into ``cache_dict``/``ttl_dict`` with the existing public ``InMemoryCache.delete_cache(key)`` — the same idiom used elsewhere in the proxy. Bonus: ``delete_cache`` calls ``_remove_key`` which also handles ``expiration_heap`` consistency the direct pops were silently leaking. * JSON-encode the sorted scope list for the cache key instead of ``"|".join``. ``user_id`` / ``team_id`` / ``org_id`` / ``api_key`` are free-form strings and could contain a literal ``|`` — JSON quoting escapes any in-string separator unambiguously. * Extract ``_allowed_container_ids_cache_key()`` so the read and invalidation sites compute the key the same way. * Fix a placeholder-then-overwrite test construction: the ``__module__.split(".")[0] and "proxy_admin"`` line evaluated to a literal string that was immediately overwritten with the real enum value. Hoist the import and construct directly. --- .../proxy/container_endpoints/ownership.py | 27 +++++++++++++------ .../test_container_proxy_ownership.py | 9 ++----- 2 files changed, 21 insertions(+), 15 deletions(-) diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py index 41dc1f34e01..568eca523ae 100644 --- a/litellm/proxy/container_endpoints/ownership.py +++ b/litellm/proxy/container_endpoints/ownership.py @@ -1,3 +1,4 @@ +import json from typing import Any, Dict, List, Optional, Set, Tuple from fastapi import HTTPException @@ -30,6 +31,14 @@ _CONTAINER_OWNER_CACHE = InMemoryCache(max_size_in_memory=10000, default_ttl=60) _ALLOWED_CONTAINER_IDS_CACHE = InMemoryCache(max_size_in_memory=2048, default_ttl=60) +def _allowed_container_ids_cache_key(owner_scopes: List[str]) -> str: + """JSON-encode the sorted scope list — using a separator like ``|`` + would collide for any tenant whose user_id / team_id / org_id / + api_key happens to contain the separator. JSON quoting escapes + every separator that matters.""" + return json.dumps(sorted(owner_scopes)) + + def _container_model_object_id( original_container_id: str, custom_llm_provider: str ) -> str: @@ -163,10 +172,11 @@ async def record_container_owner( # shows up on their next ``GET /v1/containers``. Other callers with # disjoint scope tuples have their own entries; intersecting-scope # tuples self-correct on the 60s TTL. - caller_scope_key = "|".join(sorted(get_resource_owner_scopes(user_api_key_dict))) - if caller_scope_key: - _ALLOWED_CONTAINER_IDS_CACHE.cache_dict.pop(caller_scope_key, None) - _ALLOWED_CONTAINER_IDS_CACHE.ttl_dict.pop(caller_scope_key, None) + caller_scopes = get_resource_owner_scopes(user_api_key_dict) + if caller_scopes: + _ALLOWED_CONTAINER_IDS_CACHE.delete_cache( + _allowed_container_ids_cache_key(caller_scopes) + ) return response @@ -265,7 +275,7 @@ async def _get_allowed_container_ids( if not owner_scopes: return set() - cache_key = "|".join(sorted(owner_scopes)) + cache_key = _allowed_container_ids_cache_key(owner_scopes) cached = _ALLOWED_CONTAINER_IDS_CACHE.get_cache(cache_key) if cached is not None: return set(cached) @@ -285,9 +295,10 @@ async def _get_allowed_container_ids( for row in rows if getattr(row, "model_object_id", None) is not None } - # ``InMemoryCache`` json-encodes values; sets aren't JSON-serializable, - # so store as a list and rehydrate above. - _ALLOWED_CONTAINER_IDS_CACHE.set_cache(cache_key, sorted(allowed_ids)) + # ``InMemoryCache.get_cache`` attempts ``json.loads`` on the stored + # value; passing a set would round-trip through that path + # unnecessarily. Store as a list and rehydrate above. + _ALLOWED_CONTAINER_IDS_CACHE.set_cache(cache_key, list(allowed_ids)) return allowed_ids diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py index 7a6232d7ce7..c295805bdb3 100644 --- a/tests/test_litellm/containers/test_container_proxy_ownership.py +++ b/tests/test_litellm/containers/test_container_proxy_ownership.py @@ -5,7 +5,7 @@ from unittest.mock import AsyncMock import pytest from fastapi import HTTPException -from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth from litellm.proxy.container_endpoints import ownership from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.containers.main import ContainerListResponse, ContainerObject @@ -901,13 +901,8 @@ async def test_admin_with_identity_records_container_ownership(monkeypatch): ) admin_auth = UserAPIKeyAuth( user_id="proxy-admin", - user_role=ownership.is_proxy_admin.__module__.split(".")[0] - and "proxy_admin", # placeholder; the create flow doesn't actually gate on the role + user_role=LitellmUserRoles.PROXY_ADMIN.value, ) - # Use the real role enum value. - from litellm.proxy._types import LitellmUserRoles - - admin_auth.user_role = LitellmUserRoles.PROXY_ADMIN.value await ownership.record_container_owner( response=_container("cntr_admin"), From 22782f3c3fb1b996794dded57b7587472f9c05ea Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 4 May 2026 17:51:50 -0700 Subject: [PATCH 157/160] [Fix] Tests: Replace deprecated openrouter/claude-3.7-sonnet with claude-sonnet-4.5 OpenRouter has dropped active endpoints for anthropic/claude-3.7-sonnet, causing test_reasoning_content_completion to fail with a 404 "No endpoints found" error. Switch to anthropic/claude-sonnet-4.5, which is current and supports reasoning streaming. --- tests/local_testing/test_streaming.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py index 7fe42ed5461..b1a93c380b2 100644 --- a/tests/local_testing/test_streaming.py +++ b/tests/local_testing/test_streaming.py @@ -3640,7 +3640,7 @@ def test_mock_response_iterator_tool_use(): [ # "deepseek/deepseek-reasoner", # "anthropic/claude-3-7-sonnet-20250219", - "openrouter/anthropic/claude-3.7-sonnet", + "openrouter/anthropic/claude-sonnet-4.5", ], ) def test_reasoning_content_completion(model): From a56256e5ee9bcb258cac6a9518afde4c14f55365 Mon Sep 17 00:00:00 2001 From: Yassin Kortam Date: Mon, 4 May 2026 15:09:17 -0700 Subject: [PATCH 158/160] feat: routing groups ui --- .../router_settings_endpoints.py | 11 +- litellm/router.py | 6 + .../router_settings_endpoints.py | 8 + tests/local_testing/test_router_debug_logs.py | 4 + .../test_router_settings_endpoints.py | 51 ++++ .../hooks/routingGroups/useRoutingGroups.ts | 51 ++++ .../src/components/general_settings.tsx | 9 +- .../routing_groups/RoutingGroupModal.tsx | 194 ++++++++++++++ .../routing_groups/RoutingGroupsTable.tsx | 241 ++++++++++++++++++ .../src/components/routing_groups/index.tsx | 177 +++++++++++++ .../src/components/routing_groups/types.ts | 12 + ui/litellm-dashboard/tsconfig.json | 2 +- ui/litellm-dashboard/tsconfig.tsbuildinfo | 2 +- 13 files changed, 761 insertions(+), 7 deletions(-) create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts create mode 100644 ui/litellm-dashboard/src/components/routing_groups/RoutingGroupModal.tsx create mode 100644 ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx create mode 100644 ui/litellm-dashboard/src/components/routing_groups/index.tsx create mode 100644 ui/litellm-dashboard/src/components/routing_groups/types.ts diff --git a/litellm/proxy/management_endpoints/router_settings_endpoints.py b/litellm/proxy/management_endpoints/router_settings_endpoints.py index c98c4620d95..557eb608136 100644 --- a/litellm/proxy/management_endpoints/router_settings_endpoints.py +++ b/litellm/proxy/management_endpoints/router_settings_endpoints.py @@ -104,11 +104,16 @@ async def get_router_settings( config = await proxy_config.get_config() router_settings_from_config = config.get("router_settings", {}) - # Get current values from llm_router if initialized - current_values = {} + current_values: Dict[str, Any] = {} if llm_router is not None: - # Check all field names from the fields list + # Router exposes routing groups as private `_routing_groups`; the + # generic `hasattr` loop below would miss them. + current_values["routing_groups"] = [ + group.model_dump() for group in llm_router._routing_groups.values() + ] for field in router_fields: + if field.field_name == "routing_groups": + continue if hasattr(llm_router, field.field_name): value = getattr(llm_router, field.field_name) current_values[field.field_name] = value diff --git a/litellm/router.py b/litellm/router.py index 8458c880e5a..7512ee387dc 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -1052,11 +1052,17 @@ class Router: strategy = self._normalize_strategy(self.routing_strategy) attr = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get(strategy or "") selector = getattr(self, attr, None) if attr is not None else None + verbose_router_logger.debug( + "routing_group=default model=%s strategy=%s", model, strategy + ) return strategy, selector group = self._routing_groups[group_name] strategy = self._normalize_strategy(group.routing_strategy) selector = self._group_selectors.get(group_name, {}).get(strategy or "") + verbose_router_logger.debug( + "routing_group=%s model=%s strategy=%s", group_name, model, strategy + ) return strategy, selector async def _select_deployment_async( diff --git a/litellm/types/management_endpoints/router_settings_endpoints.py b/litellm/types/management_endpoints/router_settings_endpoints.py index 4c2abfdbca8..6b18211cb70 100644 --- a/litellm/types/management_endpoints/router_settings_endpoints.py +++ b/litellm/types/management_endpoints/router_settings_endpoints.py @@ -112,6 +112,14 @@ ROUTER_SETTINGS_FIELDS: List[RouterSettingsField] = [ field_default={}, ui_field_name="Routing Strategy Args", ), + RouterSettingsField( + field_name="routing_groups", + field_type="List", + field_value=None, + field_description="Named subsets of model_names that share a routing strategy. Models not claimed by an explicit group fall through to the top-level routing_strategy.", + field_default=[], + ui_field_name="Routing Groups", + ), RouterSettingsField( field_name="num_retries", field_type="Integer", diff --git a/tests/local_testing/test_router_debug_logs.py b/tests/local_testing/test_router_debug_logs.py index 0b4771b5267..f1c7e9d722e 100644 --- a/tests/local_testing/test_router_debug_logs.py +++ b/tests/local_testing/test_router_debug_logs.py @@ -18,6 +18,7 @@ from litellm import Router # this tests debug logs from litellm router and litellm proxy server from litellm._logging import verbose_logger, verbose_proxy_logger, verbose_router_logger +from litellm.llms.custom_httpx.async_client_cleanup import close_litellm_async_clients # this tests debug logs from litellm router and litellm proxy server @@ -74,6 +75,9 @@ def test_async_fallbacks(caplog): pytest.fail(f"An exception occurred: {e}") finally: router.reset() + # Close cached aiohttp/httpx clients before the event loop ends + # to prevent "Unclosed client session" / "Unclosed connector" warnings. + await close_litellm_async_clients() asyncio.run(_make_request()) captured_logs = [rec.message for rec in caplog.records] diff --git a/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py index fdb8a0c0c5a..b62f077a62e 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py @@ -13,7 +13,13 @@ from fastapi.testclient import TestClient sys.path.insert(0, os.path.abspath("../../../..")) +from litellm.proxy import proxy_server +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth +from litellm.proxy.management_endpoints.router_settings_endpoints import ( + get_router_settings, +) from litellm.proxy.proxy_server import app +from litellm.router import Router client = TestClient(app) @@ -71,3 +77,48 @@ class TestRouterSettingsEndpoints: assert "options" in routing_strategy_field assert isinstance(routing_strategy_field["options"], list) assert len(routing_strategy_field["options"]) > 0 + + @pytest.mark.asyncio + async def test_get_router_settings_includes_routing_groups_from_live_router( + self, monkeypatch + ): + """GET /router/settings returns routing_groups from the live router.""" + groups = [ + { + "group_name": "test-group", + "models": ["latency-model"], + "routing_strategy": "latency-based-routing", + "routing_strategy_args": {}, + } + ] + llm_router = Router( + model_list=[ + { + "model_name": "latency-model", + "litellm_params": { + "model": "openai/gpt-4o", + "api_key": "sk-x", + }, + } + ], + routing_groups=groups, + ) + + monkeypatch.setattr(proxy_server, "llm_router", llm_router) + + async def fake_get_config(self, config_file_path=None): + return {} + + monkeypatch.setattr( + proxy_server.ProxyConfig, "get_config", fake_get_config, raising=True + ) + + admin_user = UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, api_key="sk-x" + ) + response = await get_router_settings(user_api_key_dict=admin_user) + + assert response.current_values.get("routing_groups") == groups + + rg_field = next(f for f in response.fields if f.field_name == "routing_groups") + assert rg_field.field_value == groups diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts new file mode 100644 index 00000000000..71d27d2017c --- /dev/null +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts @@ -0,0 +1,51 @@ +"use client"; + +import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized"; +import { useMutation, useQuery, useQueryClient, UseMutationResult, UseQueryResult } from "@tanstack/react-query"; +import { getRouterSettingsCall, setCallbacksCall } from "@/components/networking"; +import { createQueryKeys } from "../common/queryKeysFactory"; +import type { RoutingGroup } from "@/components/routing_groups/types"; + +const routingGroupsKeys = createQueryKeys("routingGroups"); + +interface RoutingGroupsQueryData { + routingGroups: RoutingGroup[]; + routingStrategy: string | null; + availableStrategies: string[]; +} + +const fetchRoutingGroups = async (accessToken: string): Promise => { + const data = await getRouterSettingsCall(accessToken); + const currentValues = data?.current_values ?? {}; + const fields = Array.isArray(data?.fields) ? data.fields : []; + const routingStrategyField = fields.find((f: any) => f?.field_name === "routing_strategy"); + + return { + routingGroups: Array.isArray(currentValues.routing_groups) ? currentValues.routing_groups : [], + routingStrategy: currentValues.routing_strategy ?? null, + availableStrategies: Array.isArray(routingStrategyField?.options) ? routingStrategyField.options : [], + }; +}; + +export const useRoutingGroups = (): UseQueryResult => { + const { accessToken, userId, userRole } = useAuthorized(); + return useQuery({ + queryKey: routingGroupsKeys.lists(), + queryFn: () => fetchRoutingGroups(accessToken!), + enabled: Boolean(accessToken && userId && userRole), + }); +}; + +export const useSaveRoutingGroups = (): UseMutationResult => { + const { accessToken } = useAuthorized(); + const queryClient = useQueryClient(); + return useMutation({ + mutationFn: (routingGroups: RoutingGroup[]) => + setCallbacksCall(accessToken!, { + router_settings: { routing_groups: routingGroups }, + }), + onSuccess: () => { + queryClient.invalidateQueries({ queryKey: routingGroupsKeys.lists() }); + }, + }); +}; diff --git a/ui/litellm-dashboard/src/components/general_settings.tsx b/ui/litellm-dashboard/src/components/general_settings.tsx index 22c8d38a379..0492929d1c0 100644 --- a/ui/litellm-dashboard/src/components/general_settings.tsx +++ b/ui/litellm-dashboard/src/components/general_settings.tsx @@ -24,6 +24,7 @@ import { TrashIcon, CheckCircleIcon } from "@heroicons/react/outline"; import RouterSettings from "./router_settings"; import Fallbacks from "./Settings/RouterSettings/Fallbacks/Fallbacks"; +import RoutingGroups from "./routing_groups"; interface GeneralSettingsPageProps { accessToken: string | null; userRole: string | null; @@ -110,8 +111,9 @@ const GeneralSettings: React.FC = ({ accessToken, user Loadbalancing - Fallbacks - General + Routing Groups + Fallbacks + General @@ -122,6 +124,9 @@ const GeneralSettings: React.FC = ({ accessToken, user modelData={modelData} /> + + + ; + modelOptions: string[]; + existingGroupNames: string[]; + onClose: () => void; + onSubmit: (group: RoutingGroup) => Promise | void; + saving?: boolean; +} + +interface FormValues { + group_name: string; + models: string[]; + routing_strategy: RoutingStrategy | string; + routing_strategy_args?: string; +} + +const STRATEGIES_WITH_ARGS = new Set(["latency-based-routing", "usage-based-routing"]); + +const GROUP_NAME_PATTERN = /^[A-Za-z0-9._-]+$/; +const GROUP_NAME_MAX_LENGTH = 64; + +const RoutingGroupModal: React.FC = ({ + open, + mode, + initialValue, + availableStrategies, + strategyDescriptions, + modelOptions, + existingGroupNames, + onClose, + onSubmit, + saving, +}) => { + const [form] = Form.useForm(); + const selectedStrategy = Form.useWatch("routing_strategy", form); + + const initialValues: FormValues = { + group_name: initialValue?.group_name ?? "", + models: initialValue?.models ?? [], + routing_strategy: initialValue?.routing_strategy ?? availableStrategies[0] ?? "simple-shuffle", + routing_strategy_args: initialValue?.routing_strategy_args + ? JSON.stringify(initialValue.routing_strategy_args, null, 2) + : "", + }; + + const reservedNames = useMemo(() => { + const others = existingGroupNames.filter((n) => n !== initialValue?.group_name); + return new Set(others.map((n) => n.toLowerCase())); + }, [existingGroupNames, initialValue]); + + const handleSubmit = async () => { + const values = await form.validateFields(); + const strategySupportsArgs = STRATEGIES_WITH_ARGS.has(String(values.routing_strategy)); + let parsedArgs: Record | null = null; + if (strategySupportsArgs && values.routing_strategy_args && values.routing_strategy_args.trim()) { + try { + parsedArgs = JSON.parse(values.routing_strategy_args); + } catch { + form.setFields([ + { + name: "routing_strategy_args", + errors: ["Must be valid JSON"], + }, + ]); + return; + } + } + + await onSubmit({ + group_name: values.group_name.trim(), + models: values.models, + routing_strategy: values.routing_strategy, + routing_strategy_args: parsedArgs, + }); + }; + + return ( + + + key={mode === "edit" ? `edit-${initialValue?.group_name ?? ""}` : "create"} + form={form} + layout="vertical" + preserve={false} + initialValues={initialValues} + > + { + if (!value) return Promise.resolve(); + if (reservedNames.has(value.trim().toLowerCase())) { + return Promise.reject(new Error("A group with this name already exists")); + } + return Promise.resolve(); + }, + }, + ]} + extra="Use this name as the model in API calls — LiteLLM routes the request to one of the group's models." + > + + + + + ({ label: s, value: s }))} + placeholder="Select strategy" + /> + + + {selectedStrategy && strategyDescriptions[selectedStrategy] && ( + + {strategyDescriptions[selectedStrategy]} + + )} + + {STRATEGIES_WITH_ARGS.has(String(selectedStrategy)) && ( + + + + )} + + + + Models not claimed by an explicit group fall through to the proxy's top-level routing + strategy. + + + + + ); +}; + +export default RoutingGroupModal; diff --git a/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx b/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx new file mode 100644 index 00000000000..c19724f4232 --- /dev/null +++ b/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx @@ -0,0 +1,241 @@ +"use client"; + +import React, { useState } from "react"; +import { Flex, Table, Tabs, Tag, Tooltip, Typography, Button } from "antd"; +import type { ColumnsType } from "antd/es/table"; +import { BranchesOutlined, DeleteOutlined, EditOutlined, CodeOutlined } from "@ant-design/icons"; +import type { RoutingGroup } from "./types"; + +const { Text, Paragraph } = Typography; + +interface RoutingGroupsTableProps { + groups: RoutingGroup[]; + loading?: boolean; + onEdit: (group: RoutingGroup) => void; + onDelete: (group: RoutingGroup) => void; + proxyBaseUrl?: string; +} + +const formatStrategyLabel = (strategy: string): string => { + switch (strategy) { + case "simple-shuffle": + return "Simple Shuffle"; + case "least-busy": + return "Least Busy"; + case "usage-based-routing": + return "Usage Based"; + case "latency-based-routing": + return "Latency Based"; + default: + return strategy; + } +}; + +const resolveBaseUrl = (proxyBaseUrl?: string): string => { + if (proxyBaseUrl && proxyBaseUrl.trim()) return proxyBaseUrl; + if (typeof window !== "undefined" && window.location?.origin) return window.location.origin; + return ""; +}; + +const exampleModel = (group: RoutingGroup): string => group.models[0] ?? ""; + +const buildCurlSnippet = (group: RoutingGroup, baseUrl: string): string => + `curl -X POST '${baseUrl}/v1/chat/completions' \\ + -H 'Content-Type: application/json' \\ + -H 'Authorization: Bearer $LITELLM_API_KEY' \\ + -d '{ + "model": "${exampleModel(group)}", + "messages": [{"role": "user", "content": "Hello!"}] + }'`; + +const buildPythonSnippet = (group: RoutingGroup, baseUrl: string): string => + `from openai import OpenAI + +client = OpenAI( + api_key="$LITELLM_API_KEY", + base_url="${baseUrl}", +) + +response = client.chat.completions.create( + model="${exampleModel(group)}", + messages=[{"role": "user", "content": "Hello!"}], +) + +print(response)`; + +const buildJsSnippet = (group: RoutingGroup, baseUrl: string): string => + `import OpenAI from "openai"; + +const client = new OpenAI({ + apiKey: process.env.LITELLM_API_KEY, + baseURL: "${baseUrl}", +}); + +const response = await client.chat.completions.create({ + model: "${exampleModel(group)}", + messages: [{ role: "user", content: "Hello!" }], +}); + +console.log(response);`; + +interface RoutingGroupSnippetProps { + group: RoutingGroup; + baseUrl: string; +} + +const SNIPPET_BLOCK_STYLE: React.CSSProperties = { + backgroundColor: "#111827", + color: "#f3f4f6", + borderRadius: 6, + padding: 16, + fontSize: 12, + whiteSpace: "pre", + overflowX: "auto", +}; + +const RoutingGroupSnippet: React.FC = ({ group, baseUrl }) => { + const snippets = { + curl: buildCurlSnippet(group, baseUrl), + python: buildPythonSnippet(group, baseUrl), + javascript: buildJsSnippet(group, baseUrl), + } as const; + type SnippetKey = keyof typeof snippets; + const [activeKey, setActiveKey] = useState("curl"); + + const items = [ + { key: "curl", label: "cURL" }, + { key: "python", label: "Python (OpenAI SDK)" }, + { key: "javascript", label: "JavaScript (OpenAI SDK)" }, + ].map(({ key, label }) => ({ + key, + label, + children: ( + + {snippets[key as SnippetKey]} + + ), + })); + + return ( + setActiveKey(k as SnippetKey)} + items={items} + tabBarExtraContent={ + + } + /> + ); +}; + +const RoutingGroupsTable: React.FC = ({ + groups, + loading, + onEdit, + onDelete, + proxyBaseUrl, +}) => { + const [expandedRowKeys, setExpandedRowKeys] = useState([]); + const baseUrl = resolveBaseUrl(proxyBaseUrl); + + const columns: ColumnsType = [ + { + title: "GROUP NAME", + dataIndex: "group_name", + key: "group_name", + render: (name: string) => ( + + {name} + + ), + }, + { + title: "MODELS", + dataIndex: "models", + key: "models", + render: (models: string[]) => ( + + {models.map((m) => ( + {m} + ))} + + ), + }, + { + title: "STRATEGY", + dataIndex: "routing_strategy", + key: "routing_strategy", + render: (strategy: string) => ( + + + {formatStrategyLabel(strategy)} + + ), + }, + { + title: "ACTIONS", + key: "actions", + width: 120, + align: "right", + render: (_, group) => ( + + + + + + Showing {filteredGroups.length} {filteredGroups.length === 1 ? "result" : "results"} + + + + + setDeletingGroup(g)} + proxyBaseUrl={ + proxySettings.LITELLM_UI_API_DOC_BASE_URL?.trim() || + proxySettings.PROXY_BASE_URL || + "" + } + /> + + + g.group_name)} + onClose={() => setDrawerOpen(false)} + onSubmit={handleSubmit} + saving={saveMutation.isPending} + /> + + setDeletingGroup(null)} + > + + Models in {deletingGroup?.group_name} will fall back to the proxy's + top-level routing strategy. This cannot be undone. + + + + ); +}; + +export default RoutingGroups; diff --git a/ui/litellm-dashboard/src/components/routing_groups/types.ts b/ui/litellm-dashboard/src/components/routing_groups/types.ts new file mode 100644 index 00000000000..e864a2490e8 --- /dev/null +++ b/ui/litellm-dashboard/src/components/routing_groups/types.ts @@ -0,0 +1,12 @@ +export type RoutingStrategy = + | "simple-shuffle" + | "least-busy" + | "usage-based-routing" + | "latency-based-routing"; + +export interface RoutingGroup { + group_name: string; + models: string[]; + routing_strategy: RoutingStrategy | string; + routing_strategy_args?: Record | null; +} diff --git a/ui/litellm-dashboard/tsconfig.json b/ui/litellm-dashboard/tsconfig.json index 5b0352feb98..d24bdd340f7 100644 --- a/ui/litellm-dashboard/tsconfig.json +++ b/ui/litellm-dashboard/tsconfig.json @@ -14,7 +14,7 @@ "moduleResolution": "bundler", "resolveJsonModule": true, "isolatedModules": true, - "jsx": "preserve", + "jsx": "react-jsx", "incremental": true, "plugins": [ { diff --git a/ui/litellm-dashboard/tsconfig.tsbuildinfo b/ui/litellm-dashboard/tsconfig.tsbuildinfo index 509efb1b640..c23ada38819 100644 --- a/ui/litellm-dashboard/tsconfig.tsbuildinfo +++ b/ui/litellm-dashboard/tsconfig.tsbuildinfo @@ -1 +1 @@ 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'string' is not assignable to type 'undefined'."}]],2153,[2156,[{"file":"./src/app/(dashboard)/hooks/keys/usekeys.test.ts","start":1354,"length":1382,"code":2741,"category":1,"messageText":"Property 'last_active' is missing in type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: null; max_parallel_requests: number; ... 39 more ...; user_email: string; }' but required in type 'KeyResponse'.","relatedInformation":[{"file":"./src/components/key_team_helpers/key_list.tsx","start":1333,"length":11,"messageText":"'last_active' is declared here.","category":3,"code":2728}]},{"file":"./src/app/(dashboard)/hooks/keys/usekeys.test.ts","start":2740,"length":1394,"code":2741,"category":1,"messageText":"Property 'last_active' is missing in type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 40 more ...; user_email: string; }' but required in type 'KeyResponse'.","relatedInformation":[{"file":"./src/components/key_team_helpers/key_list.tsx","start":1333,"length":11,"messageText":"'last_active' is declared here.","category":3,"code":2728}]}]],2155,2157,2158,2159,2160,2162,2161,2164,2163,2167,2166,2169,2168,2171,2170,2173,2172,2175,2174,2177,2176,2179,2178,2181,2180,2183,2182,2185,2184,2187,2186,2188,2190,2189,2192,2191,2193,2115,2195,2194,2197,2196,2117,2116,2119,2121,2120,2123,2122,2125,2124,2199,2198,[2201,[{"file":"./src/app/(dashboard)/hooks/users/useusers.test.ts","start":1396,"length":5,"code":2322,"category":1,"messageText":{"messageText":"Type '{ user_id: string; user_email: string; user_alias: null; user_role: string; spend: number; max_budget: null; key_count: number; created_at: string; updated_at: string; sso_user_id: null; budget_duration: null; }[]' is not assignable to type 'UserInfo[]'.","category":1,"code":2322,"next":[{"messageText":"Property 'models' is missing in type '{ user_id: string; user_email: string; user_alias: null; user_role: string; spend: number; max_budget: null; key_count: number; created_at: string; updated_at: string; sso_user_id: null; budget_duration: null; }' but required in type 'UserInfo'.","category":1,"code":2741}]},"relatedInformation":[{"file":"./src/components/view_users/types.ts","start":167,"length":6,"messageText":"'models' is declared here.","category":3,"code":2728},{"file":"./src/components/networking.tsx","start":35071,"length":5,"messageText":"The expected type comes from property 'users' which is declared here on type 'UserListResponse'","category":3,"code":6500}]}]],2200,3390,3785,3796,3797,[3801,[{"file":"./src/app/(dashboard)/models-and-endpoints/components/allmodelstab.test.tsx","start":3064,"length":17,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': isLoading, 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ooutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowaboveoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowbelowoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowleftoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowrightoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/instagramfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/instagramoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insurancefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/insuranceoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insurancetwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/interactionfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/interactionoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/interactiontwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/issuescloseoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/italicoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/javaoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/javascriptoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/keyoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/kubernetesoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/laptopoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/layoutfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/layoutoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/layouttwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/leftcirclefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/leftcircleoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/leftcircletwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/leftoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/leftsquarefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/leftsquareoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/leftsquaretwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/likefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/likeoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/liketwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/linechartoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/lineheightoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/lineoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/linkoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/linkedinfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/linkedinoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/linuxoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/loading3quartersoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/loadingoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/lockfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/lockoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/locktwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/loginoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/logoutoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/maccommandfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/maccommandoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mailfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mailoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mailtwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/manoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/medicineboxfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/medicineboxoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/medicineboxtwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumcirclefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumsquarefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumworkmarkoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mehfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mehoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mehtwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/menufoldoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/menuoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/menuunfoldoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mergecellsoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mergefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mergeoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/messagefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/messageoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/messagetwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/minuscirclefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/minuscircleoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/minuscircletwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/minusoutlined.d.ts","./node_module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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3036,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3099,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3223,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3332,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3395,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3467,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3704,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3969,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4078,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4140,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4316,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4377,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4473,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4565,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4791,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4851,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4131,[{"start":2211,"length":27,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]},{"start":2290,"length":26,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]}]],[4142,[{"start":505,"length":14,"code":2739,"category":1,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is missing the following properties from type 'DeletedKeyResponse': project_id, last_active","canonicalHead":{"code":2322,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is not assignable to type 'DeletedKeyResponse'."}}]],[4143,[{"start":307,"length":14,"code":2739,"category":1,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is missing the following properties from type 'DeletedKeyResponse': project_id, last_active","canonicalHead":{"code":2322,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is not assignable to type 'DeletedKeyResponse'."}}]],[4147,[{"start":162,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":205,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4148,[{"start":119,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":155,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":409,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":723,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":812,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":904,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1201,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1269,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1540,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1608,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1880,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4149,[{"start":211,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":252,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":466,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":722,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":812,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":899,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1099,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1195,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1551,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1798,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4150,[{"start":877,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":917,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1106,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4152,[{"start":198,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":366,"length":9,"messageText":"Cannot find name 'afterEach'.","category":1,"code":2304},{"start":417,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":500,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":702,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1353,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2502,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2590,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2781,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2875,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2988,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3090,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3429,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3509,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3912,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4261,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4154,[{"start":144,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":554,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":732,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1003,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1073,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1214,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1290,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1450,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1522,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1653,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4167,[{"start":2909,"length":4,"code":2741,"category":1,"messageText":"Property 'user_alias' is missing in type '{ user_id: string; user_email: string; }' but required in type '{ user_id: string; user_email: string; user_alias: string | null; }'.","relatedInformation":[{"file":"./src/components/key_team_helpers/key_list.tsx","start":3002,"length":10,"messageText":"'user_alias' is declared here.","category":3,"code":2728}],"canonicalHead":{"code":2322,"messageText":"Type '{ user_id: string; user_email: string; }' is not assignable to type '{ user_id: string; user_email: string; user_alias: string | null; }'."}}]],[4195,[{"start":217,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":251,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":322,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":396,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":534,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":690,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":725,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":923,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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\ No newline at end of file From 5923c3209b2ef78235bb7b3977199e01b4607c01 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Tue, 5 May 2026 00:09:48 +0000 Subject: [PATCH 159/160] fix(security): prevent secret_fields from leaking into spend logs secret_fields (containing raw HTTP headers including Authorization Bearer tokens) was being included in proxy_server_request['body'] because the body snapshot was a copy.copy(data) of the full request dict. This body gets serialized and persisted in the LiteLLM_SpendLogs table, exposing user credentials in the database. Root cause: data['secret_fields'] was set before the body snapshot at data['proxy_server_request']['body'] = copy.copy(data), so the full raw headers (including auth tokens) ended up in the snapshot. Fix (defense in depth): 1. Exclude 'secret_fields' when creating the body snapshot in litellm_pre_call_utils.py (primary fix) 2. Strip 'secret_fields' in _sanitize_request_body_for_spend_logs_payload as a secondary safeguard secret_fields remains available on the live data dict for legitimate downstream consumers (MCP, Responses API). Co-authored-by: Krrish Dholakia --- litellm/proxy/litellm_pre_call_utils.py | 7 +- .../spend_tracking/spend_tracking_utils.py | 12 +++- .../test_spend_tracking_utils.py | 64 ++++++++++++++++++ .../proxy/test_litellm_pre_call_utils.py | 65 +++++++++++++++++++ 4 files changed, 146 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 7cf36fc9d5c..49230c65ec2 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -1469,7 +1469,12 @@ async def add_litellm_data_to_request( # noqa: PLR0915 # been parsed and stripped. Consumers (standard_logging_payload, lago, # spend_tracking_utils, streaming_iterator) read `body` to audit the # request; taking the snapshot here ensures they see cleaned metadata. - data["proxy_server_request"]["body"] = copy.copy(data) + # + # Exclude secret_fields (which contains raw_headers with Authorization + # tokens) from the snapshot — they must never be persisted in spend logs + # or any other audit trail. + _body_snapshot = {k: v for k, v in data.items() if k != "secret_fields"} + data["proxy_server_request"]["body"] = _body_snapshot # Snapshot the (now-cleaned) requester-supplied metadata for downstream # consumers. Taking the deepcopy AFTER the strip prevents attacker- diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py index 5421700ef58..8d2ccc6bba7 100644 --- a/litellm/proxy/spend_tracking/spend_tracking_utils.py +++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py @@ -610,6 +610,9 @@ def _get_messages_for_spend_logs_payload( return "{}" +_SENSITIVE_REQUEST_BODY_KEYS = frozenset({"secret_fields"}) + + def _sanitize_request_body_for_spend_logs_payload( request_body: dict, visited: Optional[set] = None, @@ -618,6 +621,9 @@ def _sanitize_request_body_for_spend_logs_payload( """ Recursively sanitize request body to prevent logging large base64 strings or other large values. Truncates strings longer than MAX_STRING_LENGTH_PROMPT_IN_DB characters and handles nested dictionaries. + + Also strips keys listed in _SENSITIVE_REQUEST_BODY_KEYS (e.g. secret_fields + which contains raw HTTP headers including Authorization tokens). """ from litellm.constants import ( LITELLM_TRUNCATED_PAYLOAD_FIELD, @@ -676,7 +682,11 @@ def _sanitize_request_body_for_spend_logs_payload( return value return value - return {k: _sanitize_value(v) for k, v in request_body.items()} + return { + k: _sanitize_value(v) + for k, v in request_body.items() + if k not in _SENSITIVE_REQUEST_BODY_KEYS + } def _convert_to_json_serializable_dict( diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py index 185d337f901..2fc77421643 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py +++ b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py @@ -1523,3 +1523,67 @@ class TestIsMasterKey: master = "sk-master-key-123" hashed = hash_token(master) assert _is_master_key(api_key=hashed, _master_key=master) is False + + +def test_sanitize_request_body_strips_secret_fields(): + """ + secret_fields contains raw HTTP headers (including Authorization Bearer + tokens). _sanitize_request_body_for_spend_logs_payload must strip it so + that sensitive credentials are never persisted in the spend-logs DB. + """ + request_body = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "secret_fields": { + "raw_headers": { + "authorization": "Bearer sk-GjX--WwRQmiX2cvASbKf5Q", + "content-type": "application/json", + "host": "litellm.example.com", + } + }, + } + sanitized = _sanitize_request_body_for_spend_logs_payload(request_body) + + assert ( + "secret_fields" not in sanitized + ), "secret_fields must be stripped from the sanitized request body" + assert sanitized["model"] == "gpt-4" + assert sanitized["messages"] == [{"role": "user", "content": "hi"}] + + +@patch( + "litellm.proxy.spend_tracking.spend_tracking_utils._should_store_prompts_and_responses_in_spend_logs" +) +def test_proxy_server_request_payload_excludes_secret_fields(mock_should_store): + """ + End-to-end test: when the proxy_server_request body contains + secret_fields (as it did before the body-snapshot fix), the spend-log + serialization must still strip them via the sanitizer fallback. + """ + mock_should_store.return_value = True + + litellm_params = { + "proxy_server_request": { + "body": { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hello"}], + "secret_fields": { + "raw_headers": { + "authorization": "Bearer sk-super-secret-token", + "host": "litellm.example.com", + } + }, + } + } + } + + result = _get_proxy_server_request_for_spend_logs_payload( + metadata={}, litellm_params=litellm_params, kwargs={} + ) + parsed = json.loads(result) + + assert ( + "secret_fields" not in parsed + ), "secret_fields must never appear in the spend-log proxy_server_request column" + assert parsed["model"] == "gpt-4" + assert parsed["messages"] == [{"role": "user", "content": "hello"}] diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index d2a1468be2a..383f6886d17 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -449,6 +449,71 @@ async def test_add_litellm_data_to_request_proxy_server_request_body_is_post_str ) +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_body_snapshot_excludes_secret_fields(): + """Security: proxy_server_request['body'] must never contain secret_fields + because that dict holds raw HTTP headers including Authorization Bearer + tokens. The body snapshot is persisted in spend logs and other audit trails, + so leaking secret_fields there exposes user credentials. + + secret_fields must still be available on the live ``data`` dict for + downstream consumers (MCP, Responses API) that legitimately need raw headers. + """ + from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request + + request_mock = MagicMock(spec=Request) + request_mock.url.path = "/v1/chat/completions" + request_mock.url = MagicMock() + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = { + "Content-Type": "application/json", + "Authorization": "Bearer sk-super-secret-token", + } + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + + data = { + "model": "gpt-3.5-turbo", + "messages": [{"role": "user", "content": "hello"}], + } + + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + user_id="test-user", + metadata={}, + team_metadata={}, + spend=0.0, + max_budget=100.0, + model_max_budget={}, + team_spend=0.0, + team_max_budget=200.0, + ) + + updated = await add_litellm_data_to_request( + data=data, + request=request_mock, + user_api_key_dict=user_api_key_dict, + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + # secret_fields must exist on the live data dict + assert ( + "secret_fields" in updated + ), "secret_fields must still be present on the live data dict" + assert "raw_headers" in updated["secret_fields"] + + # But the body snapshot must NOT contain secret_fields + snapshot_body = updated["proxy_server_request"]["body"] + assert "secret_fields" not in snapshot_body, ( + "secret_fields must be excluded from proxy_server_request['body'] " + "to prevent Authorization tokens from leaking into spend logs" + ) + + @pytest.mark.asyncio async def test_add_litellm_data_to_request_strips_string_encoded_admin_injection(): """Regression: metadata arriving as a JSON string (multipart/form-data or From b4ee6a23559537965eb99656891b02df78a13dda Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Tue, 5 May 2026 08:52:57 +0530 Subject: [PATCH 160/160] test(proxy): cover health_check_reasoning_effort for completion mode Co-authored-by: Cursor --- tests/test_litellm/proxy/test_health_check_max_tokens.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tests/test_litellm/proxy/test_health_check_max_tokens.py b/tests/test_litellm/proxy/test_health_check_max_tokens.py index 5292d2af061..72d77862b5d 100644 --- a/tests/test_litellm/proxy/test_health_check_max_tokens.py +++ b/tests/test_litellm/proxy/test_health_check_max_tokens.py @@ -240,6 +240,12 @@ def test_update_litellm_params_health_check_reasoning_effort(): ) assert out.get("reasoning_effort") == "none" + model_info = {"mode": "completion", "health_check_reasoning_effort": "low"} + out = _update_litellm_params_for_health_check( + model_info, {"model": "openai/gpt-5", "api_key": "x"} + ) + assert out.get("reasoning_effort") == "low" + model_info = { "health_check_reasoning_effort": {"effort": "none", "summary": "auto"}, }