litellm/.github
Sameer Kankute fa956e8c42
merge main (#28839)
* fix(helm): drop main- prefix from default image tag (#28710)

* fix(helm): drop main- prefix from default image tag

The default image tag in the deployment + migrations-job templates was
`main-{{ .Chart.AppVersion }}`. The current release pipeline publishes
content tags without the `main-` prefix (e.g. `v1.85.1` / `1.85.1`,
`v1.86.0-rc.1` / `1.86.0-rc.1`), so the rendered ref points at a tag
that does not exist on GHCR or DockerHub and installs fail with
ImagePullBackOff.

- templates/deployment.yaml, templates/migrations-job.yaml: render
  `.Chart.AppVersion` directly instead of `main-<AppVersion>`.
- Chart.yaml: bump stale `appVersion: v1.80.12` (not on either
  registry) to `v1.85.1` so local-checkout installs also resolve.
- values.yaml: update the commented tag-override hint to match.

* fix(helm): use :latest in tag override example, not pinned version

Per review: ghcr.io/berriai/litellm-database:latest is a floating
alias for the most recent stable (same digest as :main-stable),
maintained by the release pipeline's UPDATE_LATEST advance step.
Better example than a pinned version that goes stale.

* test(model_prices): allow audio_transcription_config in schema (#28708)

The schema in test_aaamodel_prices_and_context_window_json_is_valid uses
additionalProperties: false. The azure/speech/azure-stt entry added in
#27482 introduced an audio_transcription_config field that the schema
did not whitelist, so the test fails on every branch built on top of
staging.

Add the field as a string property.

* fix(team): refresh team cache on team_model_add/delete (LIT-3244) (#28683)

* fix(team): refresh team cache on team_model_add/delete (LIT-3244)

team_model_add and team_model_delete wrote to the DB but did not
invalidate the in-memory LiteLLM_TeamTableCachedObj used by
common_checks. After the v1.83.14 common_checks centralization made
team.models authoritative on /v1/files and /v1/vector_stores/*,
adding a Team-BYOK model silently failed to grant the new public
model name to team members until the cache TTL expired (and a
removed model kept working until then on the symmetric path).

Extract the cache-refresh snippet from update_team into a small
helper and apply it consistently at all three team-write sites.

* test: also assert updated models in team-cache-refresh pin

Strengthens the LIT-3244 regression test to also assert
`call_kwargs["team_table"].models` matches the updated row,
not just `team_id`. Both `existing_team` and `updated_team`
share `team_id` in the test setup, so the previous assertion
would have passed even if the implementation accidentally cached
the pre-mutation row.

Greptile review feedback.

* fix(team): hydrate object_permission on cache-refreshing team updates

The Prisma update calls in update_team, team_model_add, and
team_model_delete returned a team row with object_permission_id set
but object_permission=None (the relation was not requested via
include=). _refresh_cached_team then wrote that to the in-memory
LiteLLM_TeamTableCachedObj, and the cache-hit path in get_team_object
returns the cached object without re-hydrating. Downstream consumers
(validate_key_search_tools_against_team, the MCP/agent authz paths)
treat a missing object_permission as no team-level restriction, so
a team-write op silently dropped object-permission enforcement until
the cache TTL expired or a DB-fetch path re-hydrated it.

Add include={"object_permission": True} to all three updates so the
refresh writes a complete cached team. Extend the LIT-3244 regression
test to pin both the cached object_permission and the include shape
on the Prisma call.

Surfaced in PR review of LIT-3244.

* fix(ui/add-model): stop vertex_ai-anthropic_models from leaking under Anthropic (#28723)

`getProviderModels()` matched a model into a provider's dropdown when the
model's `litellm_provider` string *contained* the provider key as a
substring. The intent was to admit suffix variants (e.g. `anthropic_text`,
`bedrock_converse`), but the substring check is too loose: it also pulls in
unrelated providers whose name happens to contain the key, most visibly
`vertex_ai-anthropic_models` matching `anthropic` and `vertex_ai-openai_models`
matching `openai`.

Replace `.includes()` with separator-anchored prefix matching
(`startsWith(provider + "_")` / `startsWith(provider + "-")`). All legitimate
variants in `model_prices_and_context_window.json` still match
(`anthropic_text`, `azure_text`, `azure_ai`, `bedrock_converse`,
`bedrock_mantle`, `cohere_chat`, `fireworks_ai-embedding-models`,
`vertex_ai-*`, `vertex_ai_beta`), and the cross-provider leak is closed.

Tests: update one assertion that pinned the buggy substring behavior
(`custom_openai_endpoint` matching `openai` — not a real provider value);
add 6 new tests covering the leak regressions and the variant-preservation
contract for vertex_ai/bedrock/fireworks.

* Fix spend logs v2 route permissions (#28705)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: ryan-crabbe-berri <ryan-crabbe-berri@users.noreply.github.com>

* fix(proxy): Bedrock Knowledge Base pass-through: preserve SigV4 headers and signed request body (#27526)

* Fix Bedrock KB pass-through SigV4 headers and signed body

Coerce botocore HeadersDict to a dict for pass-through routes. When
forward_headers is true, drop request headers that collide case-insensitively
with signed headers so client Bearer auth does not shadow AWS SigV4.
Send prepped.body as raw content so the outbound payload matches the
signature after logging hooks mutate the parsed dict.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Simplify pass-through raw body handling

Read the SigV4-signed bytes directly from request.state inside
pass_through_request instead of threading a custom_raw_body argument
through three functions. Helper methods are restored to their original
signatures, and the new branch lives in one place at each httpx call site.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Harden pass-through raw body read from request.state

Guard missing request.state (test fixtures) and ignore non-bytes/str
values so MagicMock does not trigger the SigV4 raw-body path.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Test pass_through_request state_raw_body uses httpx content=

Cover non-streaming (async_client.request) and streaming (build_request)
paths so SigV4 bytes on request.state are not replaced by json= of a
hook-mutated dict.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>

* chore(tests): migrate Bedrock CI to AWS account 941277531214 (#28728)

* chore(tests): migrate Bedrock CI from AWS account 888602223428 to 941277531214

The original account (888602223428) was put under a security restriction by
AWS after a root access key leaked in a PR comment. While that account works
its way through the AWS Support unlock process, Bedrock-touching CI tests have
been migrated to a fresh account (941277531214).

Changes:
  - Replace 26 hardcoded references to 888602223428 with 941277531214 across
    8 files (provisioned-model ARNs, imported-model ARNs, AgentCore runtime
    ARNs, batch execution role ARN, and example proxy config).
  - The provisioned-model and imported-model ARNs are referenced only from
    mocked unit tests — no AWS resources to recreate.
  - The batch execution IAM role has been recreated in the new account with
    the same name and equivalent permissions.
  - The two AgentCore runtimes (hosted_agent_r9jvp-3ySZuRHjLC,
    hosted_agent_13sf6-cALnp38iZD) are being recreated in the new account
    under the same names — see tools/agentcore-deploy/ in a follow-up.

CircleCI env vars AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY / AWS_REGION_NAME
were updated separately via the CircleCI API to point at the new account.

Smoke-tested locally against the new account:
  aws bedrock-runtime converse --region us-west-2 \
    --model-id us.anthropic.claude-sonnet-4-5-20250929-v1:0 \
    --messages '[{"role":"user","content":[{"text":"ping"}]}]'
  → 200, model returned 'pong'

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* chore(tests): refresh AgentCore ARN suffixes to match newly-deployed runtimes

The first migration commit replaced just the account ID, but AgentCore
auto-assigns a random 10-char suffix to every runtime on creation — we
can't reuse the original suffixes (`3ySZuRHjLC`, `cALnp38iZD`) in the
new account. Updated the AgentCore-runtime ARNs in the three files that
reference real runtime IDs (not the mock-based unit-test ARNs).

Deployed runtimes:
  arn:aws:bedrock-agentcore:us-west-2:941277531214:runtime/hosted_agent_r9jvp-Rq79QFC2fp
  arn:aws:bedrock-agentcore:us-west-2:941277531214:runtime/hosted_agent_13sf6-4046UzHSwy

Both runtimes are status=READY and pass a smoke invoke:
  $ aws bedrock-agentcore invoke-agent-runtime --agent-runtime-arn ... --payload '{"prompt":"ping"}'
  → 200, {"result": "echo: ping"}

The agent is a minimal echo (see /tmp/agentcore_deploy/agent.py for the
deploy artifacts). Tests that only verify the SDK wiring will pass; if any
test asserts on agent output content, swap the echo for the real agent.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* chore(tests): point Bedrock batch tests at new-account S3 bucket

The account migration (888602223428 -> 941277531214) was a flat
account-ID swap, which only rewrites ARNs that embed the account
number. S3 bucket names carry no account ID, so the live Bedrock
batch tests still uploaded to `litellm-proxy` — a bucket that lives
in the old account. S3 names are globally unique, and the old account
still holds that name, so it can't be recreated in the new account.

Rename to `litellm-proxy-941277531214` (account-ID suffix guarantees
global uniqueness). The bucket must be created in 941277531214 and the
batch execution role granted s3:GetObject/PutObject/ListBucket on it
before this job is run in CI.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore(tests): point live S3 logging test at new-account bucket

Same account-ID-free blind spot as the batch bucket: `load-testing-oct`
lives in the old account and its name can't be reused globally. The
`logging_testing` CI job is wired into the workflow and runs
test_basic_s3_logging, which uploads to this bucket with the CI env
creds, then lists and deletes objects — a live dependency.

Rename to `load-testing-oct-941277531214`. The bucket must exist in the
new account with the CI IAM principal granted
s3:PutObject/GetObject/ListBucket/DeleteObject before this job runs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore(tests): repoint Bedrock guardrail IDs to new-account guardrails

The migration left guardrail IDs untouched (no account ID in them), so
all live guardrail tests failed with "guardrail identifier or version
does not exist" against 941277531214. Recreated both guardrails in the
new account and updated the hardcoded IDs:
  - wf0hkdb5x07f -> zgkmukebruil (PII mask: PHONE + CREDIT_DEBIT_CARD,
    with explicit inputAction=ANONYMIZE so masking applies to INPUT,
    which is the source litellm's moderation hook sends)
  - ff6ujrregl1q -> 4w3d1di3snt5 (blocks "coffee"; blocked message set
    to the exact string the tests assert on)

Updated test_bedrock_guardrails.py, otel_test_config.yaml, and the
guardrailConfig in test_bedrock_completion.py. Verified locally: the 5
previously-failing guardrail tests now pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(bedrock): migrate legacy models to current inference profiles

The new CI account (941277531214) cannot invoke legacy Bedrock models
(AWS gates them: "marked by provider as Legacy... not actively using in
the last 30 days"). Migrated the live-call tests:
  - anthropic.claude-3-sonnet-20240229    -> us.anthropic.claude-sonnet-4-5-20250929-v1:0
  - anthropic.claude-3-haiku-20240307     -> us.anthropic.claude-haiku-4-5-20251001-v1:0
Current Claude models on Bedrock require the us. inference-profile prefix
(bare on-demand ids are rejected).

cohere.command-r-plus has no working replacement (all Cohere is legacy-
gated in the new account): swapped to claude-haiku-4-5 in provider-
agnostic param lists. amazon.titan-image-generator skipped (no working
replacement). Mocked/transformation/cost tests that reference the legacy
strings are intentionally left unchanged. Verified live against the new
account.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(bedrock): repoint SageMaker + Knowledge Base to new-account resources

These referenced account-scoped resources by hardcoded id that only
existed in the old account, so the migration's account-ID swap missed
them. Recreated in 941277531214 and repointed:
  - SageMaker endpoint jumpstart-dft-hf-textgeneration1-mp-20240815-185614
    -> litellm-ci-textgen (gpt2 on a TGI container, ml.g5.xlarge)
  - Bedrock Knowledge Base T37J8R4WTM -> LCYXFBR2TU (OpenSearch Serverless
    vector store + titan-embed-text-v2, seeded with a LiteLLM doc)
Verified live: test_sagemaker.py (12 passed) and
test_bedrock_knowledgebase_hook.py (12 passed).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(reasoning_effort_grid): skip bedrock claude-opus-4-7 cells (not entitled on 941277531214)

claude-opus-4-7 is listed in the new Bedrock CI account's foundation
models but invoke is denied (AccessDeniedException: "not available for
this account"). Bedrock access to the flagship Opus requires an AWS
Sales request, not the self-serve model-access toggle, so it can't be
enabled inline with the rest of the account migration.

Add an optional `skip_reason` to ModelEntry and set it on the
bedrock-claude-opus-4-7 entry; the grid test honors it via pytest.skip.
Cell count (231) and route coverage are unchanged, so the structural
asserts still pass. Restore coverage by deleting the one skip_reason
line once access is granted.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(bedrock): swap/skip legacy-gated models unavailable on new CI account

The migrated AWS account (941277531214) cannot access several models that
the old account could, so the remaining red CI jobs were hitting real
Bedrock "Access denied / Legacy" and "account not authorized" errors:

- image_gen: skip both Nova Canvas test classes (amazon.nova-canvas-v1:0 is
  legacy-gated), matching the existing titan skip.
- batches: skip test_async_file_and_batch (Bedrock batch inference is not
  authorized on the new account; requires an AWS support case).
- litellm_overhead: swap legacy claude-3-5-haiku for the active
  us.anthropic.claude-haiku-4-5 inference profile.
- test_completion_claude_3_function_call: swap legacy claude-3-sonnet for the
  active us.anthropic.claude-sonnet-4-5 inference profile.

https://claude.ai/code/session_01Y7zgHYu9GX29YRwV4yiWAa

* test(bedrock): fix remaining e2e legacy-model + batch failures on new CI account

- e2e_openai_endpoints: skip test_bedrock_batches_api (Bedrock batch inference
  is not authorized on account 941277531214) and migrate the missed
  s3_bucket_name in oai_misc_config.yaml to litellm-proxy-941277531214.
- build_and_test: swap legacy bedrock claude-3-sonnet for the active
  us.anthropic.claude-sonnet-4-5 inference profile in the proxy structured
  output e2e test.

https://claude.ai/code/session_01Y7zgHYu9GX29YRwV4yiWAa

* test(bedrock): make opus-4-7 + batch cells fail loudly and mock image-gen (#28791)

Replace the silent skips added for the new CI account with noisier behavior:
- reasoning-effort grid: opus-4-7 cells now fail (when AWS creds are present)
  instead of skipping, so the missing entitlement stays visible in CI; they
  still skip when AWS creds are absent (local dev)
- Bedrock batch inference tests: drop the skip so they run and fail until
  batch access is granted
- Titan + Nova Canvas image-gen tests: mock the Bedrock HTTP call so the
  transform + cost-tracking path stays under test without live model access

https://claude.ai/code/session_01MT7SWDnXUjv6e6EPG7BDjT

Co-authored-by: Claude <noreply@anthropic.com>

* test(bedrock): use pytest.xfail for known-failing opus-4-7 cells

Replace pytest.fail with pytest.xfail when a model has a fail_reason,
so known-broken cells stay visible as XFAIL without keeping CI red.

Co-authored-by: Yassin Kortam <yassin@berri.ai>

---------

Co-authored-by: Mateo <mateo@Mateos-MacBook-Pro.local>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>

* fix(otel): export SERVER span on management-endpoint success without http_request (#28794)

Co-authored-by: Yassin Kortam <yassinkortam@Yassins-MacBook-Pro.local>

* chore(ci): merge dev branch (#28801)

* chore(proxy): route path-dependent call sites through get_request_route

Replace direct ``request.url.path`` reads in auth, ACL, routing, and
audit-log decisions with ``get_request_route(request)`` — the helper
already added in ``auth/auth_utils.py`` that returns the ASGI
``scope["path"]`` with ``root_path`` stripped. Starlette reconstructs
``url.path`` from the Host header; ``scope["path"]`` is uvicorn's
parse of the request line and matches what FastAPI dispatches on, so
it's the authoritative route for any decision that should agree with
the actual handler.

Sites:
- _experimental/mcp_server/auth/user_api_key_auth_mcp.py
- management_endpoints/mcp_management_endpoints.py
- vector_store_endpoints/utils.py
- pass_through_endpoints/pass_through_endpoints.py
- auth/route_checks.py
- litellm_pre_call_utils.py
- spend_tracking/spend_management_endpoints.py
- common_utils/http_parsing_utils.py
- management_helpers/utils.py
- health_endpoints/_health_endpoints.py

Adds regression tests in tests/proxy_unit_tests/test_proxy_routes.py
that construct a Request with scope["path"] set to a benign route and
the Host header crafted so url.path would resolve differently; each
site's decision is asserted against scope["path"].

* chore(proxy): make get_request_route imports lazy at call sites

Move the ``from litellm.proxy.auth.auth_utils import get_request_route``
imports added in the prior commit back to the function bodies that use
them. The module-level form participates in a long-standing import
cycle through ``auth_utils -> _types -> ...`` and was flagged by CodeQL
on the PR; the lazy form matches the pattern the proxy already uses
for ``user_api_key_auth`` and related helpers elsewhere in these files.

Also drop the ``RouteChecks._is_assistants_api_request`` delegation in
``_get_metadata_variable_name`` introduced in the prior commit — the
delegation pulled ``RouteChecks`` into the same cycle, and the call
site reuses the resolved route for its other branches, so inlining
the substring check is both cycle-free and avoids a redundant second
``get_request_route`` call.

Comment in test_proxy_routes.py acknowledges that the two MCP table
entries exercise ``get_request_route`` directly rather than the full
production handler (which needs ASGI scope + MCP state to invoke).

---------

Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: user <70670632+stuxf@users.noreply.github.com>

* chore(ci): merge dev branch (#28657)

* feat(dashboard): navbar hierarchy + Agent Platform notifications (#27543)

* feat(dashboard): refine navbar zones and Agent Platform notice

Restructure the admin navbar for production users: clear product vs community
vs personal columns with vertical dividers, icon-only Slack/GitHub in a
shared chip, and Docs/Blog typography aligned on an 8px rhythm.

Add a notifications bell with popover linking to the LiteLLM Agent Platform
repo and optional mark-as-read persistence.

Promote the account control with initials avatar, single-line display name,
and navDisplayName mapping for placeholder user ids (e.g. default_user_id).

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(dashboard): address PR review — AntD buttons, public page guard, dedupe regex

- Replace raw <button> with AntD Button in BlogDropdown, NotificationsBell, UserDropdown, and test mock
- Guard NotificationsBell + container behind !isPublicPage to avoid rendering on public pages
- Remove redundant equality checks in navDisplayName (regex already covers them)
- Remove unused `lower` variable after simplification

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>

* fix(dashboard): drop dead useHealthReadiness import in navbar

The module was removed in #27896 (replaced by useHealthReadinessDetails),
but the import survived the rebase. The symbol is unused — only
useHealthReadinessDetails is consumed in the file. Removing the dead
import unblocks the UI TypeScript build.

* fix(dashboard): align CommunityEngagementButtons test with icon-only aria-labels

The component was refactored to an icon-only chip with aria-label='LiteLLM
on GitHub' (squash #27543), but the test still asserted /star us on
github/i. Update the query to match the rendered accessible name.

* refactor(dashboard): drop unused props from NavbarProps

The navbar refactor moved user identity + dark-mode state to internal
hooks (useAuthorized, useWorker), but the NavbarProps interface still
declared userID, userEmail, userRole, premiumUser, isDarkMode, and
toggleDarkMode as required, forcing every caller to thread them through.

Drop them from the interface and all four call sites (page.tsx,
(dashboard)/layout.tsx, public_model_hub.tsx, navbar.test.tsx). Also
shrinks the destructure in layout.tsx so the now-unused locals stop
being pulled out of useAuthorized().

* refactor(dashboard): use useSyncExternalStore for NotificationsBell dismiss flag

Reads/writes of the litellmHideAgentPlatformBanner key were done
directly inside NotificationsBell via a useEffect + useState pair.
Every other localStorage-backed flag in the dashboard (Disable
ShowPrompts, DisableBouncingIcon, DisableShowNewBadge,
DisableUsageIndicator, DisableBlogPosts) is wrapped in a
useSyncExternalStore hook over localStorageUtils so all mounted
components stay in sync.

Extract useHideAgentPlatformBanner to follow the same shape, swap
NotificationsBell to consume it, and add a regression test that
two sibling bells stay in sync without a remount when one is
dismissed.

* refactor: mask credential fields in proxy settings GET responses (#28682)

* refactor: mask credential fields in proxy settings GET responses

Brings SSO settings, cache settings, and the email/Slack alerting view in
/get/config/callbacks in line with the HashiCorp Vault config-override
pattern, so persisted credentials are not transported back to the UI in
plaintext.

* refactor: harden short-value masking and hoist alerting var constant

Closes two review observations:

- mask_sensitive_keys now replaces short values (below the visible
  prefix+suffix length) with an all-mask string instead of returning them
  unchanged, so a 1-7 character credential is no longer round-tripped
  verbatim.
- _ALERTING_SENSITIVE_VARS is moved out of get_config() to a module-level
  constant, matching the analogous _SSO_SENSITIVE_FIELDS and
  _CACHE_SENSITIVE_FIELDS in the SSO and cache endpoint files.

---------

Co-authored-by: Krrish Dholakia <krrish+github@berri.ai>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

* fix(ui): show 2-decimal precision for max_budget on key overview (#28809)

The Key Info Overview tab's Spend card truncated sub-dollar budgets to
"$0" because formatNumberWithCommas defaults to 0 decimals. The Settings
tab passes 2; align the overview so a $0.10 budget renders as "$0.10".

Resolves LIT-2845

* feat(proxy): allow `llm_api_routes` virtual keys to list MCP servers (#28442)

* feat(proxy): allow llm_api_routes virtual keys to list MCP servers

Add a new `mcp_discovery_routes` group (GET /v1/mcp/server and GET
/v1/mcp/server/{server_id}) and include it in `llm_api_routes` so that
virtual keys configured with `allowed_routes=["llm_api_routes"]` can
discover the MCP servers they have access to. Previously these calls
failed with 'Virtual key is not allowed to call this route. Only allowed
to call routes: [llm_api_routes]'.

The GET handlers already sanitize the response for restricted virtual
keys via `_sanitize_mcp_server_list_for_virtual_key`, stripping
credential-bearing fields (url, headers, env). Write methods
(POST/PUT/DELETE) on the same paths remain gated by the existing
handler-level admin role checks.

The new discovery list is intentionally kept OUT of
`mcp_inference_routes`, so `is_llm_api_route()` still returns False
for these paths — this preserves the existing contract that
DISABLE_LLM_API_ENDPOINTS must not block the Admin UI from listing MCP
servers.

Co-authored-by: ryan-crabbe-berri <ryan-crabbe-berri@users.noreply.github.com>

* refactor(proxy): make MCP discovery carve-out method-aware

Replace the `mcp_discovery_routes` group in `llm_api_routes` with a
method-aware special case inside `is_virtual_key_allowed_to_call_route`.
Virtual keys with allowed_routes=["llm_api_routes"] are now permitted
to call only GET /v1/mcp/server and GET /v1/mcp/server/{server_id} —
non-GET methods and multi-segment admin sub-paths fall through to the
existing 403. This keeps the general llm_api_routes list free of
management paths and avoids accidentally exposing POST/PUT/DELETE
writes through the route-check layer.

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: ryan-crabbe-berri <ryan-crabbe-berri@users.noreply.github.com>

* chore(ci): merge dev branch (#28807)

* chore(proxy): route path-dependent call sites through get_request_route

Replace direct ``request.url.path`` reads in auth, ACL, routing, and
audit-log decisions with ``get_request_route(request)`` — the helper
already added in ``auth/auth_utils.py`` that returns the ASGI
``scope["path"]`` with ``root_path`` stripped. Starlette reconstructs
``url.path`` from the Host header; ``scope["path"]`` is uvicorn's
parse of the request line and matches what FastAPI dispatches on, so
it's the authoritative route for any decision that should agree with
the actual handler.

Sites:
- _experimental/mcp_server/auth/user_api_key_auth_mcp.py
- management_endpoints/mcp_management_endpoints.py
- vector_store_endpoints/utils.py
- pass_through_endpoints/pass_through_endpoints.py
- auth/route_checks.py
- litellm_pre_call_utils.py
- spend_tracking/spend_management_endpoints.py
- common_utils/http_parsing_utils.py
- management_helpers/utils.py
- health_endpoints/_health_endpoints.py

Adds regression tests in tests/proxy_unit_tests/test_proxy_routes.py
that construct a Request with scope["path"] set to a benign route and
the Host header crafted so url.path would resolve differently; each
site's decision is asserted against scope["path"].

* chore(proxy): make get_request_route imports lazy at call sites

Move the ``from litellm.proxy.auth.auth_utils import get_request_route``
imports added in the prior commit back to the function bodies that use
them. The module-level form participates in a long-standing import
cycle through ``auth_utils -> _types -> ...`` and was flagged by CodeQL
on the PR; the lazy form matches the pattern the proxy already uses
for ``user_api_key_auth`` and related helpers elsewhere in these files.

Also drop the ``RouteChecks._is_assistants_api_request`` delegation in
``_get_metadata_variable_name`` introduced in the prior commit — the
delegation pulled ``RouteChecks`` into the same cycle, and the call
site reuses the resolved route for its other branches, so inlining
the substring check is both cycle-free and avoids a redundant second
``get_request_route`` call.

Comment in test_proxy_routes.py acknowledges that the two MCP table
entries exercise ``get_request_route`` directly rather than the full
production handler (which needs ASGI scope + MCP state to invoke).

---------

Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: user <70670632+stuxf@users.noreply.github.com>

* fix(team): keep team_alias cache in sync on _cache_team_object writes (#28737)

* fix(team): keep team_alias cache in sync on _cache_team_object writes

_cache_team_object wrote only to the team_id:<id> cache key, but the
JWT auth path that uses team_alias_jwt_field reads from a separate
team_alias:<alias> key (get_team_object_by_alias caches under both
keys on miss, but reads only the alias-keyed one). After any
team-mutation endpoint (team_model_add, team_model_delete,
update_team, the two access-group writes) the team_id cache was
refreshed but the team_alias cache stayed stale until TTL — JWT
callers using team_alias_jwt_field kept seeing the pre-mutation
team for the full cache window.

Mirror the write under the alias key inside _cache_team_object so
every existing caller stays in sync without further changes. Skip
the alias write when team_alias is None/empty so we don't collide
across alias-less teams.

Surfaced testing the LIT-3244 cherry-pick on patch/1.86.0: the
LIT-3244 fix correctly invalidated the team_id cache but the
customer's JWT used team_alias_jwt_field, so they kept hitting the
stale alias-keyed entry.

* fix(team): delete (not overwrite) team_alias cache on _cache_team_object

The prior shape of this PR wrote both team_id:<id> AND team_alias:<alias>
from _cache_team_object. team_alias is NOT unique in the schema
(no @unique on LiteLLM_TeamTable.team_alias), and get_team_object_by_alias
enforces uniqueness on its own DB-fetch path (len(teams) > 1 raises).
Writing the alias-keyed cache from the generic refresh path bypassed
that check: a team admin renaming their team to collide with another
team's alias could silently overwrite the cached team for JWT-by-alias
auth, swapping the resolved team under that alias for the cache window.

Switch the alias-keyed operation from a write to a delete (mirroring
the dual-cache delete pattern in _delete_cache_key_object). After every
team write, the next JWT-by-alias reader cache-misses and falls through
to get_team_object_by_alias, which (a) re-fetches the fresh team from
DB, closing the LIT-3244 staleness gap that motivated this PR, and
(b) enforces alias uniqueness before populating either cache key.

team_id:<id> writes are unchanged — team_id is the table PK and is
guaranteed unique.

Surfaced in veria-ai review on #28739.

* fix(managed-files): anchor model_id regex so it doesn't match llm_output_file_model_id

extract_model_id_from_unified_id used `re.search(r"model_id,([^;]+)", ...)`
which substring-matches the `model_id,` inside the file-ID encoding's
`llm_output_file_model_id,<deployment_uuid>` field. parse_unified_id
then fed that deployment UUID back into the auth path as a model
candidate via _extract_models_from_managed_resource_id, and every
team-BYOK file attach 403'd with:

    team not allowed to access model. This team can only access
    models=['openai/*']. Tried to access <deployment-uuid>

The team's models list correctly contains the public name (`openai/*`)
that target_model_names matches, but the bogus UUID candidate fails
the wildcard check first.

Anchor the regex to a field boundary (`(?:^|;)model_id,`) so it
matches the legitimate top-level `model_id,<value>` field on
vector_store unified IDs and skips substring matches inside other
fields. File-IDs (which have no top-level `model_id` field) now
return None and contribute no spurious UUID candidate.

Surfaced reproducing LIT-3244 on patch/1.86.0 with the customer's
exact flow: team with openai/* BYOK deployment, JWT-scoped user,
POST /v1/vector_stores/{id}/files attaching a file uploaded with
target_model_names=openai/gpt-4o.

* fix(proxy): hydrate wildcard discovery credentials (#28284) (#28822)

* fix(proxy): hydrate wildcard discovery credentials

* fix(proxy): constrain wildcard credential hydration

Co-authored-by: Dibyo Mukherjee <dibyo@adobe.com>

* ci: add daily oss-agent-shin branch creation workflow (#28829)

Creates litellm_oss_agent_shin_MM_DD_YYYY from main every day at 00:00 UTC.
Lets us retarget oss-agent-shin fork PRs onto a canonical branch so CircleCI runs with secrets, without granting the agent write access.

Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>

* test(proxy): add harness for proxy_server.py behavior-pinning (#28827)

* test(proxy): add harness for proxy_server.py behavior-pinning

Creates tests/test_litellm/proxy/proxy_server/ with:
- conftest.py: 11 shared fixtures (app, client, mock_prisma, auth_as,
  mock_router with parametrized response builders, normalize, etc.)
- _coverage_check.py: per-PR coverage gate (line + branch) against a
  baseline, self-selects target by inspecting which placeholder files
  have been filled
- _pin_check.py: AST-based gate that verifies every pin-list item has
  >=1 happy + >=1 error test with a real assertion (no status-only)
- test_harness_smoke.py: 19 smoke tests covering every fixture +
  both scripts end-to-end
- 26 placeholder test files (one docstring each) reserved for
  follow-up PRs per the directory ownership in the Notion plan
- .coverage_baseline pinned at 0% so future PRs measure deltas
  against new-tests-only and aren't entangled with the broader
  scattered test suite

Adds a dedicated proxy-server job to test-unit-proxy-endpoints.yml
so this directory's runtime + coverage are tracked independently.

Plan: https://www.notion.so/36c43b8acdab81ee845fd5365128a2fc

* ci(proxy-endpoints): allow workflow_dispatch

Lets the workflow be triggered manually on a branch via
`gh workflow run`, which is needed for the verify-first
flow on workflow changes before opening a PR.

* test(proxy): address review feedback on proxy_server harness

- conftest.py: anchor sys.path insert to __file__ (Path(__file__).resolve().parents[4])
  instead of CWD-relative os.path.abspath("../../../../") which resolved
  to the wrong directory when pytest is launched from the repo root.
- _coverage_check.py: actually read .coverage_baseline and use it as
  the floor (line_min = max(target, baseline)). Closes the gap between
  the PR description's "delta semantics" and what the script was doing.
  With baseline=0.0 today this is a no-op; future PRs that update the
  baseline cause regressions (test deletions etc.) to trip the gate
  even if the static PR target is still met.
- _pin_check.py: drop unreachable startswith("_") guard
  (test_*.py glob never yields underscore-prefixed names) and read
  each test file once instead of twice.

* feat(openai): apply regional-processing cost uplift for EU/US data residency (#28626)

* feat(openai): apply regional-processing cost uplift for EU/US data residency

OpenAI charges a 10% uplift on the latest GPT models when requests are
served from a regionalized hostname (eu./us.api.openai.com).  Infer the
region from `api_base`, expose it on `kwargs["litellm_params"]["data_residency"]`,
and multiply the computed cost by a per-model
`regional_processing_uplift_multiplier_<region>` field.

https://claude.ai/code/session_012ebH44s7ohYxjoix5CXzTW

* test: allow regional_processing_uplift_multiplier_{eu,us} in model_prices schema

* fix(cost): tighten data_residency inference and restore model_cost in tests

- Only infer OpenAI data_residency when custom_llm_provider == "openai";
  drop the implicit None fallback so non-OpenAI callers can't accidentally
  pick up a regional tag from a stray OpenAI hostname.
- _local_model_cost_map fixture now snapshots and restores
  litellm.model_cost and LITELLM_LOCAL_MODEL_COST_MAP so tests don't leak
  state across the session.

* refactor(openai): move data_residency helper under llms/openai

* fix: thread data_residency through realtime stream cost calculation

Co-authored-by: Yassin Kortam <yassin@berri.ai>

* fix(cost): thread data_residency through batch_cost_calculator

Apply the OpenAI regional-processing uplift multiplier to retrieve_batch
cost paths so Batch API requests served via eu./us.api.openai.com are
priced at the same uplifted token rates as completions/transcriptions.

* refactor(openai): encapsulate provider check inside infer_openai_data_residency

Move the custom_llm_provider == "openai" guard from get_litellm_params
into the helper itself so the core utility no longer carries
provider-specific dispatch logic. Callers pass through the provider
unconditionally; the helper returns None for any non-OpenAI provider.

* fix(responses): thread data_residency through Responses logging params

The Responses API paths build their logging litellm_params dict after
provider resolution but did not include data_residency, so cost calc
saw None even when the effective api_base was a regional OpenAI host.

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>

---------

Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: ryan-crabbe-berri <ryan@berri.ai>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: ryan-crabbe-berri <ryan-crabbe-berri@users.noreply.github.com>
Co-authored-by: milan-berri <milan@berri.ai>
Co-authored-by: Mateo Wang <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Mateo <mateo@Mateos-MacBook-Pro.local>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
Co-authored-by: Yassin Kortam <yassinkortam@Yassins-MacBook-Pro.local>
Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: user <70670632+stuxf@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrish+github@berri.ai>
Co-authored-by: Dibyo Mukherjee <dibyo@adobe.com>
Co-authored-by: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com>
Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
2026-05-26 09:31:30 +05:30
..
codeql [Infra] Improve CodeQL scanning coverage and schedule 2026-03-27 12:04:09 -07:00
ISSUE_TEMPLATE docs: document new github + gitlab ci scripts 2026-03-25 20:17:10 -07:00
observatory Add observatory test workflow for RC/stable releases 2026-03-01 15:30:09 -03:00
screenshots fix(team_endpoints): auto-add SSO team members to org on move (proxy admin only) (#26377) 2026-04-24 08:36:25 -07:00
scripts style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
workflows merge main (#28839) 2026-05-26 09:31:30 +05:30
dependabot.yaml chore: fixes 2026-04-05 01:30:57 -07:00
deploy-to-aws.png Add files via upload 2023-10-25 16:33:53 -07:00
FUNDING.yml Update FUNDING.yml 2023-09-22 09:51:35 -07:00
pull_request_template.md docs: update pull_request_template to add Linear ticket mentioning 2026-04-27 17:31:03 -07:00
template.yaml (chore) cleanup 2024-02-09 09:28:13 -08:00