Commit graph

215 commits

Author SHA1 Message Date
yuneng-jiang
6ff668c7aa
[Infra] Promote internal staging to main (#27245)
Some checks failed
CodeQL / Analyze (actions) (push) Has been cancelled
CodeQL / Analyze (javascript-typescript) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
CodSpeed Benchmarks / benchmarks (push) Has been cancelled
Helm unit test / unit-test (push) Has been cancelled
Read Version from pyproject.toml / read-version (push) Has been cancelled
Scorecard supply-chain security / Scorecard analysis (push) Has been cancelled
Unit Tests: Caching (Redis) / caching-redis (push) Has been cancelled
Unit Tests: Proxy DB Operations / assert-shard-coverage (push) Has been cancelled
Unit Tests: Security / security (push) Has been cancelled
GitHub Actions Security Analysis / zizmor (push) Has been cancelled
Unit Tests: Proxy DB Operations / auth-checks (push) Has been cancelled
Unit Tests: Proxy DB Operations / budgets (push) Has been cancelled
Unit Tests: Proxy DB Operations / custom-logging (push) Has been cancelled
Unit Tests: Proxy DB Operations / db-and-spend (push) Has been cancelled
Unit Tests: Proxy DB Operations / proxy-runtime (push) Has been cancelled
Unit Tests: Proxy DB Operations / endpoints-and-responses (push) Has been cancelled
Unit Tests: Proxy DB Operations / guardrails-hooks (push) Has been cancelled
Unit Tests: Proxy DB Operations / jwt-and-keys (push) Has been cancelled
Unit Tests: Proxy DB Operations / key-generation (push) Has been cancelled
Unit Tests: Proxy DB Operations / logging-misc (push) Has been cancelled
Unit Tests: Proxy DB Operations / proxy-server-core (push) Has been cancelled
Unit Tests: Proxy DB Operations / schema-migration (push) Has been cancelled
Unit Tests: Proxy DB Operations / proxy-utils (push) Has been cancelled
* default requested_model to empty string on litellm-side rejects

* Update litellm/router.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

* fix: scope key access_group_ids override by team's assigned groups

A team member could set any access_group_ids on their key (e.g. a group
assigned only to a different team) and override the team's model
restriction. Intersect the key's access_group_ids with team_object.access_group_ids
in _key_access_group_grants_model so foreign groups are dropped before
model expansion. Adds a regression test that asserts expansion is never
called for foreign groups.

* [Fix] Proxy: Skip Personal Budget Hook When Reservation Covers Counter

The reservation path (PR #26845) atomically pre-fills `spend:user:{user_id}`
and admits at the strict-`<` boundary. The legacy `_PROXY_MaxBudgetLimiter`
pre-call hook re-reads the same counter with `>=`, so a reservation that
fills the counter to exactly `max_budget` (e.g. a request without a
`max_tokens` cap that falls back to reserving the smallest remaining
headroom) is rejected by the hook even though the reservation already
admitted it.

Skip the hook when the request's active `budget_reservation` covers
`spend:user:{user_id}`. The reservation is the source of truth for that
counter cross-pod; the legacy `>=` path remains in place for requests
without a reservation (e.g. paths that bypass the reservation entirely).

Reproduces as `tests/otel_tests/test_prometheus.py::test_user_budget_metrics`
on a fresh user with `max_budget=10` calling `fake-openai-endpoint` without
`max_tokens`. Adds focused unit coverage in
`tests/test_litellm/proxy/hooks/test_max_budget_limiter.py`.

* harden bedrock file bucket validation

* Fix syntax errors from botched merge in router.py

* Fix Vertex batch output edge cases

* [Fix] RBAC: Drop management_routes Write Fallback for Admin Viewer

Greptile P1: the unsafe-method branch of `_check_proxy_admin_viewer_access`
ended with a blanket `if route in management_routes: return`. That set is a
mix of reads (info/list — handled via the safe-method GET branch above) and
writes. The fallback let Admin Viewer POST to write endpoints not enumerated
in `_ADMIN_VIEWER_BLOCKED_WRITE_ROUTES`, including:
  - /team/block, /team/unblock, /team/permissions_update
  - /jwt/key/mapping/{new,update,delete}
  - /key/bulk_update
  - /key/{key_id}/reset_spend

Remove the fallback. The two remaining allow sets (admin_viewer_routes and
global_spend_tracking_routes) are both read-only, so removal does not affect
the legitimate POST-as-read cases (e.g. /spend/calculate, which is in
spend_tracking_routes ⊂ admin_viewer_routes).

Tests:
  - 8 new parametrized cases pinning each previously-leaking management write
    endpoint to 403 on POST for PROXY_ADMIN_VIEW_ONLY.

* fix(tests): anchor VCR redis cassette key to repo root

`os.path.relpath` with no `start` arg uses the current working
directory, so running pytest from a subdirectory produced a
different Redis key than running from the repo root. CI-recorded
cassettes and locally-replayed runs would silently miss each
other's cache.

Anchor the path to the repo root (derived from `__file__`) so the
key is stable regardless of CWD.

https://claude.ai/code/session_018uCx7pcrkdUJZrCVMaTdPx

* fix: gate key access_group override on group's own assignment

Replaces the previous intersect-with-team.access_group_ids check, which
made the override unreachable in practice (the team-gate fallback already
covered every case the intersection allowed). The override now resolves
each of the key's access_group_ids via get_access_object and accepts the
group only if its assigned_team_ids includes the key's team_id, or its
assigned_key_ids includes the key's token. This fulfills the original ask
(a key can extend a team's allow-list via a group the admin granted to
that team or that specific key) while still rejecting foreign groups
referenced by team members of other teams.

* [Fix] Proxy/Key Management: Honor team_member_permissions /key/list In /key/list Endpoint

When a team grants /key/list via team_member_permissions, non-admin members
should see all keys for that team — same as a team admin. Previously the
classification in list_keys() only checked admin status, so permitted
members fell into the service-account-only path and could not see other
members' personal keys. Routes those members into the full-visibility set.

* Fix access-group bypass via litellm-model fallback path

When _get_all_deployments returns 0 candidates and the litellm-model
fallback branch (_get_deployment_by_litellm_model) finds deployments that
the access-group filter then empties, _access_group_filter_emptied_candidates
remained False (it was captured before that branch ran). The router would
then proceed to default fallbacks; the fallback model could have no
access_groups and short-circuit the filter, silently serving a caller
blocked by access-group restrictions.

Update the flag inside the litellm-model branch when filtering empties a
non-empty candidate set so the default-fallback guard still triggers.

* fix(proxy): redact MCP server URL and headers for non-admin viewers (VERIA-8)

Many MCP integrations (Zapier, etc.) embed an upstream API key
directly in the server URL, e.g.
``https://actions.zapier.com/mcp/<api-key>/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) <noreply@anthropic.com>

* Fix runtime policy attachment initialization

Mark runtime-created policies and attachments initialized so global policy attachments created from the policy builder apply immediately without requiring a restart.

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

* test(router): cover _try_early_resolve_deployments_for_model_not_in_names

The router_code_coverage CI check requires every function in router.py to
be referenced by at least one test under tests/{local_testing,
router_unit_tests,test_litellm} in a file with "router" in its name.
The recently-extracted helper had no direct test, so the check failed
with "0.45% of functions in router.py are not tested".

Add a focused test that exercises the four return paths: model already
in self.model_names, no fallback applies, pattern-router match, and
default_deployment substitution (also asserting the stored default
isn't mutated).

https://claude.ai/code/session_019AVp1XL7RT9RxRe4qRLkay

* Fix policy registry teardown in tests

Reset the policy ID index during policy engine test cleanup so stale policy versions cannot leak between tests.

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

* fix(batches): count non-chat tokens, validate batch-file model access (VERIA-39) (#27015)

* fix(batches): count non-chat tokens and validate every model in batch file

Two security control bypasses on POST /v1/batches:

1. `_get_batch_job_input_file_usage` only summed tokens for
   `body.messages` (chat completions). Embedding (`input`) and text
   completion (`prompt`) batches reported zero, letting massive
   non-chat workloads slip past TPM rate limits. Extend the counter
   to handle string and list shapes for both fields.

2. The batch input file was forwarded to the upstream provider
   without inspecting the models named inside the JSONL — only the
   outer `model` query parameter was checked against the caller's
   allowlist. A caller restricted to gpt-3.5 could submit a batch
   targeting gpt-4o and the upstream would execute it under the
   proxy's shared API key.

Add `_get_models_from_batch_input_file_content` (returns the
distinct `body.model` values) and call it from
`_enforce_batch_file_model_access` in the pre-call hook, which runs
each model through `can_key_call_model` so the same allowlist
semantics (wildcards, access groups, all-proxy-models, team aliases)
the proxy enforces on `/chat/completions` apply here too. Any
unauthorized model raises a 403 before the file is forwarded.

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

* fix(batches): count pre-tokenized prompt/input shapes, classify 403 logs

Two follow-ups from the Greptile review on the batch validation PR:

1. P1 TPM bypass via integer token arrays. The OpenAI batch schema
   accepts ``prompt`` and ``input`` as ``list[int]`` (a single
   pre-tokenized prompt) or ``list[list[int]]`` (multiple) in addition
   to the string and ``list[str]`` shapes. Pre-fix only the string
   shapes were counted, so a caller could submit a batch with hundreds
   of millions of pre-tokenized tokens and the rate limiter would
   record zero. Extract the per-field logic into
   ``_count_prompt_or_input_tokens`` and count each int as one token.

2. P2 access-denial logs were indistinguishable from I/O failures.
   ``count_input_file_usage`` caught every exception under a generic
   "Error counting input file usage" message, so an intentional 403
   from ``_enforce_batch_file_model_access`` looked the same in the
   logs as a missing file or a Prisma timeout. Catch ``HTTPException``
   separately and log 403s at WARNING level with a security-relevant
   message before re-raising.

Tests cover the new shapes: single ``list[int]``, ``list[list[int]]``
(the worst-case bypass vector), and embeddings ``input`` with
pre-tokenized arrays.

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

---------

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

* fix(proxy): re-validate user_id after /user/info re-parses query (#27009)

* fix(proxy): re-validate user_id ownership after /user/info re-parses query

The route-level access check in `RouteChecks.non_proxy_admin_allowed_routes_check`
reads `request.query_params.get("user_id")`, which decodes literal `+` to
spaces. The endpoint then re-parses the raw query string with `urllib.unquote`
in `get_user_id_from_request` to preserve `+` characters (so plus-addressed
emails work as user_ids). Those two paths produce different ids: a caller
who registered a user_id containing a literal space could pass the route
check and then read another user's row by sending the encoded `+` form.

Add `_enforce_user_info_access` and call it after `_normalize_user_info_user_id`
returns the final id. Proxy admin / view-only admin still bypass; everyone
else must match the resolved user_id (or have no user_id, which falls back
to the caller's own id later in the handler).

Tests cover the admin bypass, owner-match path, and the cross-user lookup
that this change blocks.

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

* fix(proxy): apply user_info ownership check to PROXY_ADMIN_VIEW_ONLY

`_enforce_user_info_access` was bypassing both PROXY_ADMIN and
PROXY_ADMIN_VIEW_ONLY, but the upstream route check in
`RouteChecks.non_proxy_admin_allowed_routes_check` only treats
PROXY_ADMIN as a true admin for the `/user/info` route — view-only
admins go through the `user_id == valid_token.user_id` enforcement
along with regular users. Mirroring that asymmetry left the same
encoded-`+` bypass open for view-only admins whose user_id contains a
literal space.

Drop the PROXY_ADMIN_VIEW_ONLY exemption so the post-decode re-check
matches the upstream rule. Update tests: a view-only admin must now
be blocked from cross-user lookups but still allowed to read their
own row.

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

---------

Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* 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 <mateo-berri@users.noreply.github.com>

* 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.

* 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 <mateo-berri@users.noreply.github.com>

* 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

* [Fix] Proxy: Repair Merge Fallout In Router-Override Fallback Auth

Conflict resolution for #26968 dropped the `Iterator` typing import
(NameError at module load), left a dead `fallback_models = cast(...)`
block, and the new tests called `_enforce_key_and_fallback_model_access`
without the now-required `request` kwarg.

* isolate dual OTEL handlers

* harden cloud file compatibility path

* harden cloud file compatibility path

* [Fix] Proxy/Key Management: Align Key-Org Membership Checks On Generate And Regenerate

Mirrors the membership rule on /key/update so that /key/generate and
/key/{key}/regenerate apply the same `_validate_caller_can_assign_key_org`
gate when the caller specifies an `organization_id`. Proxy admins bypass.
The check no-ops when `organization_id` is not being set.

* thread trusted params through vertex file content

* trust only server legacy file flag

* chore(proxy): keep public AI hub unauthenticated

* fix(proxy): preserve low-detail readiness status

* [Test] Anthropic: Replace Legacy Claude-4-Sonnet Alias With Haiku 4.5

Three live-API tests pinned to claude-4-sonnet-20250514, which is a
non-canonical alias of claude-sonnet-4-20250514. Anthropic's main API
no longer resolves the legacy form under freshly issued keys, so the
tests fail with not_found_error. The token counter test pinned to
claude-sonnet-4-20250514 itself (deprecation_date 2026-05-14, two weeks
out) was on borrowed time too.

Bump all four to claude-haiku-4-5-20251001 — capability superset for what
these tests exercise (streaming, parallel tool calling, extended thinking,
token counting), no upcoming deprecation, cheaper per-token.

* 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) <noreply@anthropic.com>

* [Chore] Proxy/UI: Drop stray _experimental/out/chat/index.html

This file is a regenerable UI build artifact that should not be tracked
in source. Removing so the merge into litellm_internal_staging stays clean.

* [Test] Anthropic Passthrough: Bump Streaming Cost-Injection Test To Haiku 4.5

test_anthropic_messages_streaming_cost_injection hits the proxy's
/v1/messages route, which routes via the anthropic/* wildcard to
api.anthropic.com. The 404 surfaced in the test was Anthropic's own
not_found_error propagated back through the proxy (visible from the
x-litellm-model-id hash on the response — the proxy did route).

Same root cause as the prior commit: the legacy claude-4-sonnet-20250514
alias is no longer recognized by Anthropic's main API under the new key.
Swap to claude-haiku-4-5-20251001 — same routing path, canonical model.

* fix(proxy): handle ownership-recording failures after upstream create

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) <noreply@anthropic.com>

* fix(guardrails): close post-call coverage gaps

* fix(types): add /team/permissions_bulk_update to management_routes

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) <noreply@anthropic.com>

* [Test] Anthropic Passthrough: Bump Thinking Tests Off Legacy Sonnet 4 Alias

base_anthropic_messages_test.test_anthropic_messages_with_thinking and
test_anthropic_streaming_with_thinking still pinned to
claude-4-sonnet-20250514 — the same legacy alias Anthropic no longer
recognizes under freshly issued keys. The other four tests in this base
class already use claude-sonnet-4-5-20250929; these two were missed.

Bump to claude-haiku-4-5-20251001 (supports_reasoning=true, no upcoming
deprecation). Subclasses including TestAnthropicPassthroughBasic
inherit these methods.

* fix(guardrails): cover multi-choice output variants

* fix(proxy): preserve public ai hub ui setting

* 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.

* chore: update Next.js build artifacts (2026-05-02 03:21 UTC, node v20.20.2)

* 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) <noreply@anthropic.com>

* chore: update Next.js build artifacts (2026-05-02 03:39 UTC, node v20.20.2)

* fix: remove traceback key instead of it being ""

* fix: linting error

* fix(scim): preserve scim_active on PUT when client omits the field

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 <mateo-berri@users.noreply.github.com>

* fix(proxy): use set lookup for permitted agent filters

* fix(mcp): redact command fields for non-admin server views

* fix(proxy): forward decoded container ids after ownership checks

* fix(caching): handle stale isolated Redis semantic index

* fix(cloudflare): support response_text in streaming chunk parser

Newer Cloudflare Workers AI models (e.g. Nemotron) emit 'response_text'
instead of 'response' on streamed chunks. The non-streaming path was
already updated to fall back to 'response_text' (#26385), but the
streaming chunk parser still only read 'response', which caused
streaming requests against those models to silently produce empty
content.

Mirror the non-streaming fallback in CloudflareChatResponseIterator.chunk_parser
and add a streaming test for the response_text shape.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* Fix code qa

* Address bugbot: drop dead encode/decode helpers; preserve empty custom_id

- Remove unused _encode_gcp_label_value / _decode_gcp_label_value singular
  helpers; only the _chunks variants are actually called.
- Use 'is not None' check for custom_id so empty-string custom_ids are
  still labeled and round-trip through batch outputs.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* Forward Vertex file content logging context

* test vertex file content logging forwarding

Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com>

* Fix Vertex batch output logging mutation

* fix: don't mutate caller's logging_obj in _try_transform_vertex_batch_output_to_openai

The method was overwriting logging_obj.optional_params, logging_obj.model,
and logging_obj.start_time on the caller's Logging instance. When invoked
from llm_http_handler.py's generic framework path, the framework's own
logging_obj (which already went through pre_call) had its properties
clobbered, causing model and start_time to reflect the last batch line's
values rather than the original call context.

Fix: create a fresh local Logging instance for the per-line transformation
instead of mutating the incoming logging_obj. The caller's object is now
left entirely untouched regardless of whether a logging_obj was passed in
or not.

Regression tests added to verify model, start_time, and optional_params
are not mutated on the caller's logging_obj.

Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com>

* feat: add opt-out flag for Vertex batch output transformation

Adds litellm.disable_vertex_batch_output_transformation (default False).
When True, afile_content returns raw Vertex predictions.jsonl untouched
so users that parse candidates/modelVersion directly are not broken.

* fix(anthropic,bedrock): omit thinking/output_config when reasoning_effort="none"

Setting reasoning_effort="none" on Anthropic chat models (direct, Bedrock
Invoke, Bedrock Converse, Vertex AI Anthropic, Azure AI Anthropic) crashed
LiteLLM with:

  litellm.APIConnectionError: 'NoneType' object has no attribute 'get'

Both the Anthropic chat transformation and Bedrock Converse called
``AnthropicConfig._map_reasoning_effort`` and assigned the ``None`` it returns
for ``"none"`` directly to ``optional_params["thinking"]``. Downstream
``is_thinking_enabled`` then did ``optional_params["thinking"].get("type")``
and crashed.

Pop ``thinking`` (and on Claude 4.6/4.7, ``output_config``) instead of
assigning ``None``, restoring the documented contract that
``reasoning_effort="none"`` means "do not enable thinking". This also
prevents downstream Anthropic 400s ("thinking: Input should be an object",
"output_config.effort: Input should be ...") if the bug were ever masked.

Verified end-to-end against the live Anthropic API and Bedrock Converse
on claude-opus-4-{5,6,7} and claude-sonnet-4-6, plus Bedrock Invoke for
Claude 4.5/4.6. Vertex AI Anthropic and Azure AI Anthropic inherit the
fixed ``map_openai_params`` from ``AnthropicConfig`` and need no further
changes.

* fix(vertex-ai): set response=null on batch error entries per OpenAI spec

The Vertex batch output transformer was emitting both a populated 'response' and 'error' for failed batch entries. The OpenAI Batch output spec defines them as mutually exclusive: on error 'response' MUST be null. This broke any consumer using 'result["response"] is None' to detect failures.

* test(vertex-ai): cover transformation_error path emits response=null

* 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) <noreply@anthropic.com>

* chore(proxy): drop client-supplied pricing fields from request bodies

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) <noreply@anthropic.com>

* 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) <noreply@anthropic.com>

* 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) <noreply@anthropic.com>

* 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 <mateo-berri@users.noreply.github.com>

* chore(proxy): close callback-config and observability-credential side channels

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) <noreply@anthropic.com>

* fix(auth): per-param allow must continue, not return early

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) <noreply@anthropic.com>

* 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) <noreply@anthropic.com>

* fix(vector_store): tighten registry-mutation comment and dedupe test helpers

* 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.

* 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 <mateo-berri@users.noreply.github.com>

* fix(constants): make ANTHROPIC_MIN_THINKING_BUDGET_TOKENS a plain constant

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 <mateo-berri@users.noreply.github.com>

* 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.

* fix(anthropic): translate reasoning_effort on /v1/messages route

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

* 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.

* style: black formatting

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* 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.

* feat(anthropic,bedrock): strip output_config under drop_params for non-effort models

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 1233943e78)

* 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.

* 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.

* 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.

* 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"]`.

* fix(azure): omit model from image generation and image edit deployment requests

Azure OpenAI routes image gen/edit by deployment in the URL; sending the
deployment id in model breaks gpt-image-2 (invalid_value). Strip model from
JSON for deployments/.../images/generations and from multipart data for
.../images/edits. Non-deployment URLs (e.g. Azure AI FLUX) unchanged.

Fixes #26316.

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

* test(azure): exercise image gen JSON filter via HTTP client; dedupe image edit URL

- Image generation tests patch HTTPHandler.post / get_async_httpx_client so
  make_*_azure_httpx_request runs and wire json is asserted on call kwargs.
- Azure image edit: strip model in finalize_image_edit_multipart_data using the
  same URL string the handler passes to POST (no second get_complete_url in
  transform). BaseImageEditConfig default finalize is a no-op.

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

* fix(azure_ai/anthropic): promote output_config out of extra_body so validation runs

`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

* test(image_gen): expect no model in Azure image edit multipart (#26316)

Align test_azure_image_edit_litellm_sdk with deployment-scoped Azure edits.

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

* 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.

* 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.

* feat(proxy): add health_check_reasoning_effort for model health checks

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

* test(image_gen): align Azure image gen fixture with body omitting model

Expected JSON matches deployment-scoped Azure POST (#26316).

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

* 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.

* [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 <ref>` -- that returns
the index digest. `docker pull` + `docker inspect` returns the per-host
platform digest, which is what slipped in last time.

* [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.

* fix(xai): fold reasoning_tokens into completion_tokens to satisfy OpenAI invariant

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.

* 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.

* 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.

* Fix qdrant semantic cache miss metadata

* chore(deps): refresh dependency locks

* chore(deps): authorize pytest license

* fix: preserve tokenizer decode round trips

* 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 <mateo-berri@users.noreply.github.com>

* chore(deps): address dependency review notes

* 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 <mateo-berri@users.noreply.github.com>

* refactor: remove unnecessary comments from #27074

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 <mateo-berri@users.noreply.github.com>

* test: keep decode token test local

* chore(deps): align dashboard node engine

* feat: selectively apply routing strategy according to model name

* style: make _model_supports_effort_param more concise

* 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 <mateo-berri@users.noreply.github.com>

* 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 <mateo-berri@users.noreply.github.com>

* Clean up Redis semantic cache isolation fallback

* fix(guardrails): align banned_keywords + azure_content_safety call_type gates with runtime route_type

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.

* fix: remove unused import

* Add semantic cache legacy migration flag

* Treat 0 team_member_budget as no cap

* 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.

* chore(caching): remove allow_legacy_unscoped_cache_hits opt-in

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.

* 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.

* 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.

* chore(container,skills): drop legacy-access opt-out env vars

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.

* fix(ownership): reject identity-less callers instead of sharing a sentinel scope

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.

* fix(proxy): include request-blocked callback params in auth bans

* fix: keep skills handler FastAPI-free; fold gcs deny list into the body bouncer

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.

* fix(proxy): normalize managed resource team owner field

* chore: simplify ownership tracking — drop thin stores, in-memory fallback, hand-rolled cache

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).

* fix(container): cache list-allow-set, track admin-created containers

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).

* chore(container): use delete_cache, json-encode scope key, clean test

/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.

* [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.

* feat: routing groups ui

* 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 <krrish-berri-2@users.noreply.github.com>

* chore: update Next.js build artifacts (2026-05-05 02:13 UTC, node v20.20.2)

* [Fix] Proxy: Break managed-resources import cycle on Python 3.13

The Python 3.13 CCI smoke matrix surfaces a partially-initialized-module
ImportError when loading the managed files hook chain:

  litellm.proxy.hooks/__init__ (mid-import)
    -> enterprise.enterprise_hooks
    -> litellm_enterprise.proxy.hooks.managed_files
    -> litellm.llms.base_llm.managed_resources.isolation
    -> litellm.proxy.management_endpoints.common_utils
    -> litellm.proxy.utils  (re-enters litellm.proxy.hooks)

The except ImportError block in hooks/__init__.py silently swallowed the
failure, leaving managed_files unregistered and POST /files returning
500 "Managed files hook not found".

Two-layer fix:
- Inline the 3-line _user_has_admin_view check in isolation.py instead
  of importing it from litellm.proxy.management_endpoints.common_utils.
  litellm.llms.* should not depend on litellm.proxy.* — removing this
  layering violation breaks the cycle at its root.
- Define PROXY_HOOKS and get_proxy_hook before the conditional
  enterprise import in litellm/proxy/hooks/__init__.py, so any future
  re-entry resolves the public names instead of hitting an
  ImportError on a partially-initialized module.

Also fold in two unrelated CCI repairs surfaced in the same staging run:
- tests/otel_tests/test_key_logging_callbacks.py: per-key
  gcs_bucket_name / gcs_path_service_account are now stripped by
  initialize_dynamic_callback_params, so the GCS client falls through
  to the env-only branch. Update the assertion to match the new
  "GCS_BUCKET_NAME is not set" message.
- .circleci/config.yml: tests/pass_through_tests now resolves
  google-auth-library@10.x via the @google-cloud/vertexai 1.12.0 bump,
  which uses dynamic ESM imports Jest 29 cannot load without
  --experimental-vm-modules. Pass that flag in the Vertex JS test step.

Adds tests/test_litellm/proxy/hooks/test_proxy_hooks_init.py as a
regression guard: managed_files / managed_vector_stores must register,
and isolation.py must not transitively import litellm.proxy.utils.

* [Fix] Proxy: Address Greptile feedback on hook-cycle PR

- Move _user_has_admin_view to litellm.proxy._types as
  user_api_key_has_admin_view (single source of truth). common_utils.py
  and isolation.py both import from there now, removing the duplicated
  role-check that could silently diverge if new admin roles are added.
- Add pytest.importorskip("litellm_enterprise") to the two regression
  tests that assert managed_files / managed_vector_stores are registered;
  those keys come from ENTERPRISE_PROXY_HOOKS so the tests would fail
  unconditionally in a checkout without the enterprise extra installed.

* [Fix] Lint: Mark _user_has_admin_view re-export in common_utils

Ruff F401 flagged the aliased import as unused within common_utils.py
because the name is consumed only by external modules (~15 callers
across guardrails, spend tracking, MCP, agents, management endpoints).
Add `# noqa: F401  re-exported` so the alias survives lint while
keeping a single source of truth in litellm.proxy._types.

* refactor(azure): move image gen JSON helper; rename image edit finalize hook

- Add image_generation/http_utils.azure_deployment_image_generation_json_body; call
  from azure.py (keeps AzureChatCompletion focused on chat).
- Rename finalize_image_edit_multipart_data to finalize_image_edit_request_data with
  docstring covering multipart and JSON POST payloads (review feedback).

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

* test(proxy): cover health_check_reasoning_effort for completion mode

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

* [Fix] Tests: Use master key for /otel-spans in test_chat_completion_check_otel_spans

/otel-spans now requires proxy admin (returns 401 'Only proxy admin
can be used to generate, delete, update info for new keys/users/teams.
Route=/otel-spans' for non-admin callers). Switch the GET call to use
the master key sk-1234 while keeping the generated key for the
chat-completion request that produces the spans.

* [Fix] Tests: Pick chat-completion OTEL trace by content, not recency

The /otel-spans endpoint returns process-wide spans and tags
most_recent_parent by max start_time. After tightening that route to
proxy_admin (sk-1234), the GET /otel-spans request itself emits auth
spans that beat the chat-completion spans on start_time, so
most_recent_parent now points at the request's own auth trace
(['postgres', 'postgres']) and the >=5-span assertion fails.

Pick the chat-completion trace by content: it is the only trace whose
span list is a superset of {postgres, redis, raw_gen_ai_request,
batch_write_to_db}. Verified locally end-to-end against
otel_test_config.yaml + OTEL_EXPORTER=in_memory: 3/3 runs green.

* [Fix] CI: Enable VCR replay for test_azure_o_series

The Azure o-series tests were excluded from the conftest's VCR auto-marker
because of a respx/vcrpy transport-patching conflict, but the only respx
reference in the file was an unused `MockRouter` import. Drop the dead
import and remove the file from the conflict set so cassettes record on
first run and replay thereafter, eliminating the 60-95s live Azure latency
that was crashing xdist workers under --timeout=120 thread-mode timeouts.

* [Fix] Tests: Restore /metrics access for prometheus test suite

/metrics now requires auth by default; tests/otel_tests/test_prometheus.py
makes 4+ unauthenticated GETs against http://0.0.0.0:4000/metrics, so
every prometheus test in CI now fails the metric assertion.

Set require_auth_for_metrics_endpoint: false in otel_test_config.yaml
to opt out for this test job, which scrapes /metrics directly. Verified
locally: 8/8 prometheus tests green (one flaky retry on
test_proxy_success_metrics that pre-dates this PR).

Also drop the -x stop-on-first-failure flag from the otel test command
so all failures in the job surface in a single CI run rather than
hiding behind whichever one trips first.

* [Perf] CI: Skip Redundant Playwright Apt Install in E2E UI Job

The cimg/python:3.12-browsers base image already ships every Chromium
system dependency Playwright needs (libnss3, libatk-bridge2.0-0,
libcups2, etc. — the install log shows them all as "already the newest
version"). Passing --with-deps to `npx playwright install` therefore
runs an apt-get update + install for nothing, but pays the full cost of
hitting Ubuntu mirrors. On a recent run those mirrors stalled hard:
apt-get update alone took 6m53s at 81.5 kB/s with several archives
returning connection refused.

Drop --with-deps and persist ~/.cache/ms-playwright alongside
node_modules so the Chromium binary is also reused across runs. Bump
the cache key to v2 so the existing v1 entry (which only contained
node_modules) is not loaded and skipped over the new browser path.

* [Fix] Docker: Remove Hardcoded Prisma Binary Target For Multi-Arch Builds

PRISMA_CLI_BINARY_TARGETS="debian-openssl-3.0.x" was hardcoded in
docker/Dockerfile.non_root by #17695. On a buildx linux/arm64 leg this
forces prisma to download the amd64 schema-engine into an arm64 image,
so 'prisma migrate deploy' fails at startup with 'Could not find
schema-engine binary'.

Removing the env lets prisma auto-detect per build platform: amd64
builds still resolve to debian-openssl-3.0.x (Wolfi falls back to
debian, same binary as before), and arm64 builds now correctly fetch
linux-arm64-openssl-3.0.x. The offline-cache pre-warm goal of #17695 is
preserved — only which binaries fill the cache changes.

Fixes #19458

* [Fix] UI: Clear Admin Session Cookies Before Establishing Invited User's Session (#27227)

The invite-signup form was writing the new user's token via raw
`document.cookie` at `path=/`, while the rest of the auth surface uses
`storeLoginToken` (which writes at `path=/ui` and mirrors to
sessionStorage). After signup the inviter's `path=/ui` cookie kept
winning path-specificity matching, and sessionStorage still held the
inviter's token, so the dashboard rendered as the inviter rather than
the newly created user.

Treat invite signup as a principal-change boundary — clear prior
session cookies first, then store the new token via the canonical
helper.

* test: add 24hr Redis-backed VCR cache to additional test suites (#27159)

* test: add 24hr Redis-backed VCR cache to additional test suites

Extracts the existing llm_translation VCR plumbing into a reusable helper
(tests/_vcr_conftest_common.py) and wires it into the conftest.py files
of the test directories listed in LIT-2787:

  audio_tests, batches_tests, guardrails_tests, image_gen_tests,
  litellm_utils_tests, local_testing, logging_callback_tests,
  pass_through_unit_tests, router_unit_tests, unified_google_tests

The same helper is also adopted by the pre-existing llm_translation and
llm_responses_api_testing conftests to remove the copy-pasted VCR setup.

Each consuming conftest:
- registers the Redis persister via pytest_recording_configure
- auto-marks collected tests with pytest.mark.vcr (skipping respx-using
  files where applicable, since respx and vcrpy both patch httpx)
- gates cassette writes on test success via _vcr_outcome_gate

The cache is opt-in via CASSETTE_REDIS_URL; when unset, VCR is disabled
and tests hit live providers as before. LITELLM_VCR_DISABLE=1 still
forces a bypass for ad-hoc local runs.

Test directories that run LiteLLM proxy in Docker (build_and_test,
proxy_logging_guardrails_model_info_tests, proxy_store_model_in_db_tests)
are intentionally not included: VCR.py patches the in-process httpx
transport and cannot intercept calls made from inside a Docker container.
The installing_litellm_on_python* jobs make no LLM calls and don't
benefit from caching.

https://linear.app/litellm-ai/issue/LIT-2787/add-24hr-caching-to-additional-test-suites

* test(vcr): add safe-body matcher to handle JSONL and binary request bodies

vcrpy's stock body matcher inspects Content-Type and unconditionally
runs json.loads on application/json bodies. JSON Lines payloads (used
by the Bedrock batch S3 PUT and other upload paths) crash that with
json.JSONDecodeError: Extra data, before the matcher can return
'not a match'.

This was the root cause of the batches_testing CI job failing on
test_async_create_file once VCR auto-marking was applied to the
batches_tests directory.

Add a conservative byte-equality body matcher and use it in place of
'body' in the shared match_on tuple. The matcher is strictly more
conservative than vcrpy's default — the only thing it gives up is
'different JSON key order is treated as the same body', which doesn't
apply to deterministic litellm-built request payloads. It can never
produce a false positive that the default would have rejected, so
there is no cross-contamination risk.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* test(vcr): exclude tests that VCR replay actively breaks

A few tests are incompatible with cassette replay and were failing on
the latest CI run after VCR auto-marking was extended to local_testing
and logging_callback_tests:

- test_amazing_s3_logs.py (logging_callback_tests): the test asserts on
  a per-run response_id that should round-trip through a real S3
  PUT/LIST. vcrpy's boto3 stub intercepts the PUT and the LIST replays
  stale keys, so the freshly-generated id is never found.
- test_async_embedding_azure (logging_callback_tests) and
  test_amazing_sync_embedding (local_testing): the failure branches
  deliberately pass api_key='my-bad-key' to assert that the failure
  callback fires. We scrub auth headers from cassettes (so the bad-key
  request matches the prior good-key request), and vcrpy replays the
  recorded 200 — the failure callback never fires.
- test_assistants.py (local_testing): the OpenAI Assistants polling
  APIs mint fresh thread/run IDs every recording session and then poll
  until status=='completed'. Replays of those polled GETs can never
  match a freshly-generated run id, so every CI run effectively
  re-records and the suite blows past the 15m no_output_timeout.

Skip these from VCR auto-marking so they continue to hit live providers
as they did before this change. The remaining tests in each directory
still get cached.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* test(vcr): expand skip lists for second batch of incompatible tests

Followup to the previous commit. After re-running CI on the rebuilt
branch, three more tests surfaced as VCR-replay-incompatible:

- litellm_utils_testing :: test_get_valid_models_from_dynamic_api_key
  Calls GET /v1/models with api_key='123' to assert the result is empty.
  We scrub auth headers, so the bad-key request matches the prior
  good-key cassette and replays the recorded model list.
- litellm_utils_testing :: test_litellm_overhead.py
  Measures litellm_overhead_time_ms as a percentage of total wall-clock
  time. With cached responses the upstream 'network' time collapses to
  microseconds, blowing past the 40%% threshold the test asserts on.
  Skip the whole file (every parametrization is at risk).
- local_testing_part1 :: test_async_custom_handler_completion and
  test_async_custom_handler_embedding
  Same bad-key failure-callback pattern as the already-skipped
  test_amazing_sync_embedding.
- litellm_router_testing :: test_router_caching.py
  Asserts on litellm's own router-level response cache by comparing
  response1.id to response2.id across repeat upstream calls (test
  bypasses litellm cache via ttl=0 and expects upstream to return a
  *new* id). With VCR replay both upstream calls return the same
  cassette body, so the ids are identical. Skip the whole file.
- logging_callback_tests :: test_async_chat_azure (preemptive)
  Same shape as already-skipped test_async_embedding_azure; was masked
  by upstream OpenAI rate-limit failures on baseline.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* test(vcr): use item.path and tighten matcher docstring

- Replace pytest's deprecated item.fspath with item.path in
  apply_vcr_auto_marker_to_items so we don't emit deprecation
  warnings under pytest 8.
- Clarify _safe_body_matcher docstring to reflect actual behavior
  (direct == first, then UTF-8 bytes comparison, no repr fallback).

Addresses Greptile review feedback on PR #27159.

* test(vcr): swallow all RedisError on cassette save/load

Cassette persistence is strictly best-effort: any Redis-side failure
(connection blip, timeout, OutOfMemoryError when the maxmemory cap is
hit, READONLY replicas, etc.) should degrade to 'test passed but
cassette not cached' rather than fail the test on teardown.

Previously the persister only caught ConnectionError and TimeoutError,
so OutOfMemoryError — which Redis Cloud raises when the cassette cache
hits its memory cap and there are no evictable keys — propagated out of
vcrpy's autouse fixture and ERRORed otherwise-passing tests on
teardown. This caused the litellm_utils_testing CircleCI job to fail on
the latest commit's run, even though the underlying test was a unit
test that used mock_response and produced no real upstream traffic
(the cassette was dirtied by a background langfuse callback). The
rerun only succeeded because Redis evictions happened to free enough
room before the SET — i.e. it was timing-dependent flakiness.

Catch redis.exceptions.RedisError (the common base of all server- and
client-side Redis exceptions) on both save and load, and parametrize
the regression tests across ConnectionError, TimeoutError, and
OutOfMemoryError to pin the new behavior.

* test(vcr): surface cassette-cache failures with warnings + session banner

When the persister silently swallows a Redis OOM (or any RedisError) on
save/load there is otherwise no visible signal that the cache is
degraded — tests pass, the cassette just isn't persisted, and the next
session still hits the same Redis at the same near-cap memory.

Add three layers of observability so that failure mode is loud:

1. Per-process health counters ("save_failures", "load_failures", and
   the last error string for each), exposed via cassette_cache_health()
   and reset via reset_cassette_cache_health(). The persister
   increments these in addition to logging.

2. VCRCassetteCacheWarning (UserWarning subclass) emitted via
   warnings.warn() inside the persister's except block. Pytest's
   built-in warnings summary at session end automatically lists every
   such warning, so the failure is visible in CI logs without any
   conftest-level wiring.

3. Session-end banner via emit_cassette_cache_session_banner() and a
   stderr-fallback atexit handler registered from
   register_persister_if_enabled(). Two states:
     - red "VCR CASSETTE CACHE DEGRADED" when save_failures or
       load_failures > 0
     - yellow "VCR CASSETTE CACHE NEAR CAPACITY" (no failures, but
       used_memory >= 85% of maxmemory) so the next session knows
       the Redis is approaching OOM before any SET actually fails

Capacity comes from a best-effort INFO memory probe
(cassette_cache_capacity_snapshot) that returns None on any failure or
when maxmemory is uncapped. The atexit handler skips xdist workers so
only the controller emits.

Tests: parametrize the existing save/load swallow-error tests across
ConnectionError/TimeoutError/OutOfMemoryError, add direct tests for
the health counters and warning emission, and a new
test_vcr_conftest_common_banner.py covering banner output for every
state (silent/red/yellow/disabled/xdist-worker).

* test(vcr): bucket cassettes by API key fingerprint, drop bad-key skips

Tests that deliberately call an LLM API with a bad key (e.g. to assert
that the failure callback fires, or that check_valid_key returns False)
were being silently served the prior good-key cassette: we scrub the
real Authorization / x-api-key header from the cassette before storing
it, so a follow-up bad-key call is byte-identical to the good-key call
under the existing match_on tuple.

Add a 'key_fingerprint' custom matcher that distinguishes requests by
the SHA-256 of their API-key headers. The fingerprint is stamped into
a synthetic 'x-litellm-key-fp' header by a new before_record_request
hook, which then strips the real auth headers (we have to do the
scrubbing here instead of via vcrpy's filter_headers knob, because
filter_headers runs *first* and would erase the value we want to hash).

Bad-key requests now get a different cassette bucket than good-key
requests, so vcrpy will not replay a recorded 200 in place of the
expected 401. The fingerprint is a one-way hash of the secret, so
cassettes never contain the key.

This permanently removes the 'bad-key' category of skips:

- tests/local_testing: dropped ::test_amazing_sync_embedding,
  ::test_async_custom_handler_completion,
  ::test_async_custom_handler_embedding
- tests/logging_callback_tests: dropped ::test_async_chat_azure,
  ::test_async_embedding_azure
- tests/litellm_utils_tests: dropped
  ::test_get_valid_models_from_dynamic_api_key

Coverage: 7 new unit tests in tests/test_litellm/test_vcr_safe_body_matcher.py
covering header stripping, fingerprint determinism, no-auth bucketing,
good-vs-bad key discrimination, x-api-key (Anthropic/Azure) discrimination,
and idempotence under replay.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* test(vcr): drop redundant comments and docstrings

Trim narration of code that is already self-evident from function and
variable names. Keep the two genuinely non-obvious bits:

- ordering constraint between filter_headers and before_record_request,
  which would invite a maintainer to re-introduce the bug if removed
- the per-directory _VCR_INCOMPATIBLE_FILES rationale, since 'why
  exactly is this skipped' is not knowable from the test name alone

Also drop the 40-line commented-out drop-in conftest snippet at the
bottom of _vcr_conftest_common.py — the consuming conftests are the
canonical reference.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* test(vcr): make _before_record_request idempotent

vcrpy invokes before_record_request more than once per request:
can_play_response_for calls it, then __contains__ /
_responses (reached via play_response) call it again on the
result. The second invocation sees a request whose auth headers we
already stripped, so a naive recompute yields "no-key" and
overwrites the real fingerprint stored in the header.

This makes can_play_response_for and play_response disagree on
matchability — the former says "yes, we have a stored response for
this" (matching no-key to no-key) and the latter throws
UnhandledHTTPRequestError because it computes a fresh real
fingerprint that doesn't match the stored no-key.

In CI this manifested as ~30 failing tests across guardrails_testing,
audio_testing, batches_testing, image_gen_testing, llm_responses_api,
litellm_router_unit_testing, etc. Skip the recompute when the header
is already set, so re-applying the hook is a no-op.

Adds a regression test that fires the hook twice on the same dict and
asserts the fingerprint stays put.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* test(vcr): drop more redundant docstrings and headers

* test(vcr): enable 24hr cache for ocr_tests and search_tests

These two directories were the only non-dockerized test suites in the
build_and_test workflow that make live LLM/provider API calls but were
not VCR-enabled by this PR. Together they account for 96 tests:

- tests/ocr_tests/ (31): Mistral OCR, Azure AI OCR, Azure Document
  Intelligence, Vertex AI OCR. Pure-unit tests inside the same files
  (e.g. TestAzureDocumentIntelligencePagesParam) make no HTTP calls
  and become benign VCR NOOPs.
- tests/search_tests/ (65): Brave, DataForSEO, DuckDuckGo, Exa,
  Firecrawl, Google PSE, Linkup, Parallel.ai, Perplexity, SearchAPI,
  Searxng, Serper, Tavily.

Both directories use the canonical minimal conftest pattern from
tests/audio_tests/conftest.py with no skip lists. None of the test
files use respx, none assert on per-call upstream non-determinism
(no response1.id != response2.id, no overhead-as-fraction-of-total,
no live polling), so the default match_on tuple should cache cleanly.
If a flake surfaces during the first cassette-recording CI run, we
can add a targeted skip the same way we did for the other dirs.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* [Fix] Team UI: handle legacy dict shape for metadata.guardrails (#27224)

* [Fix] Team UI: handle legacy dict shape for metadata.guardrails

A team can have metadata.guardrails stored as {"modify_guardrails": bool}
(the permission-flag shape introduced in PR #4810) rather than the
expected string[]. The opt-out logic added in PR #25575 calls .filter()
on this field, which throws TypeError on a dict and crashes the team
detail page.

Add a safeGuardrailsList helper that returns [] when the field is not
an array, and route the three read sites through it.

* [Fix] Team UI: inline Array.isArray guards for guardrails metadata

Replace the safeGuardrailsList helper with inline Array.isArray checks
at each call site, and apply the same guard to opted_out_global_guardrails
for consistency. No known legacy dict rows for opted_out_global_guardrails,
but the unguarded `|| []` pattern is the same shape risk.

Six call sites now defended directly: three for metadata.guardrails
and three for metadata.opted_out_global_guardrails.

* chore: update Next.js build artifacts (2026-05-05 22:45 UTC, node v20.20.2) (#27240)

* [Infra] Bump deps (#27157)

* bump: version 0.4.70 → 0.4.71

* bump: version 0.1.39 → 0.1.40

* uv lock

---------

Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain>
Co-authored-by: Mateo Wang <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: ryan-crabbe-berri <ryan@berri.ai>
Co-authored-by: user <70670632+stuxf@users.noreply.github.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: shivam <shivam@berri.ai>
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
Co-authored-by: Krrish Dholakia <krrish+github@berri.ai>
Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: Sameer Kankute <sameer@berri.ai>
Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com>
Co-authored-by: Michael-RZ-Berri <michael@berri.ai>
Co-authored-by: harish-berri <harish@berri.ai>
Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu>
Co-authored-by: Michael Riad Zaky <michaelr@Michaels-MacBook-Air.local>
Co-authored-by: Krrish Dholakia <krrish-berri-2@users.noreply.github.com>
2026-05-05 16:15:03 -07:00
yuneng-jiang
256e05e474
Merge pull request #26849 from stuxf/fix/mcp-oauth-discovery-ssrf
chore(mcp): SSRF guard on OAuth metadata discovery follow-up fetches
2026-04-30 13:44:16 -07:00
yuneng-jiang
174c770b07
Merge pull request #26836 from stuxf/fix/byok-credential-encryption
chore(mcp): encrypt user-scoped MCP credentials at rest
2026-04-30 13:42:57 -07:00
user
51a3e90451 fix(mcp): reuse safe URL fetch for OAuth discovery 2026-04-30 12:42:52 -07:00
yuneng-jiang
3c060364fb
Merge pull request #26840 from stuxf/codex/mcp-oauth-root-visibility
chore(mcp): tighten OAuth root endpoint resolution
2026-04-30 11:59:03 -07:00
user
1bb04cdc72 fix(mcp): close redirect bypass + empty-getaddrinfo gap on SSRF guard
Three follow-ups to the OAuth-discovery SSRF guard:

1. Greptile P1 (redirect bypass): the validated origin could return a
   3xx whose ``Location`` points at an internal address, and httpx
   would follow without re-checking the new target.  Pass
   ``follow_redirects=False`` to both gated httpx GETs.  Spec-compliant
   OAuth/OIDC metadata endpoints serve the JSON directly, so this
   doesn't affect legitimate providers.

2. Greptile P2 (empty getaddrinfo): POSIX doesn't strictly forbid an
   empty success-list from ``getaddrinfo``.  Add an explicit
   ``if not infos: return False`` so the guard fails closed instead of
   falling through to ``return True``.

3. Mypy: ``info[4][0]`` is typed ``str | int``; narrow at the
   boundary with an ``isinstance`` check (fail-closed if non-str).

Adds two regression tests verifying ``follow_redirects=False`` is
passed at both gated fetch sites, and one verifying the empty-list
case rejects the URL.
2026-04-30 02:59:50 +00:00
user
df62dd8768 chore(mcp): SSRF guard on OAuth metadata discovery follow-up fetches
The OAuth discovery code in mcp_server_manager followed two
attacker-influenceable URLs without validation: the
``resource_metadata`` URL parsed out of a ``WWW-Authenticate``
challenge, and the ``authorization_servers[0]`` field of the
PRM JSON returned by the resource server.  A malicious MCP server
could point those at a cloud-instance-metadata service, an internal
admin panel, or a loopback debug endpoint and the proxy would issue
a blind GET on its behalf.

Add ``_is_safe_metadata_url(url, server_url)`` and gate both follow-
up fetch sites on it.  A URL is allowed when:

  - it shares scheme + host + port with ``server_url`` (well-known
    endpoints constructed from the admin's URL, and PRM published at
    the resource server itself per RFC 9728 §3.3), or
  - it resolves to publicly-routable IPs only (covers federated
    authorization servers — Azure Entra, Google, Okta, GitHub —
    hosted cross-origin from the resource server).

URLs that resolve to private / loopback / link-local / cloud-metadata
addresses, or that don't resolve at all, are rejected.  ``http`` and
``https`` are the only schemes accepted.  The IP block list is
provided by the existing ``_is_blocked_ip`` helper from
``litellm_core_utils.url_utils`` so the policy stays consistent with
the rest of the proxy.

The guard does not protect against active DNS rebinding between
this resolution and the subsequent httpx GET — the same-authority
pin remains the primary mitigation; the IP check is defence in
depth.  The surface only triggers on config load / add-server, not
per request, so the synchronous ``getaddrinfo`` is acceptable.

Threads ``server_url`` through ``_fetch_oauth_metadata_from_resource``,
``_fetch_authorization_server_metadata``, and
``_fetch_single_authorization_server_metadata``.  Existing tests for
those helpers updated for the new signature; new
``TestOAuthDiscoverySSRFGuard`` covers same-authority allow,
private-IP rejection across IPv4 and IPv6, multi-A-record dual-
stack rejection, unresolvable hosts, non-http schemes, and
end-to-end "no network call when guard denies".
2026-04-30 02:43:30 +00:00
yuneng-jiang
2e561bd04e
Merge pull request #26463 from stuxf/fix/mcp-routing-auth
fix(mcp): tighten public-route detection and OAuth2 fallback gating
2026-04-29 19:31:00 -07:00
user
e0b32eb1cf fix(mcp): re-encrypt user credentials during master-key rotation
Greptile P1: this PR encrypts LiteLLM_MCPUserCredentials rows under the
salt key, but the /key/regenerate rotation endpoint had no
corresponding step for that table.  Rotating the master key would
leave every BYOK and OAuth2 user credential permanently unreadable.

Adds rotate_mcp_user_credentials_master_key, mirroring the existing
rotate_mcp_server_credentials_master_key pattern: read each row with
the current key (via _decode_user_credential, which also handles
unmigrated legacy plaintext rows), re-encrypt under the new master
key, write back.  One bad row is logged and skipped instead of
aborting the whole rotation.

Wired into key_management_endpoints.py as step 4b, alongside the
existing server-credentials rotation, with the same try/except shape
so a transient DB error on this table doesn't kill the whole
regenerate-key flow.

Tests cover: round-trip through rotation under a new key, automatic
re-encryption of legacy plaintext rows (rotation also acts as a
migration trigger), and a corrupt row not aborting the rotation.
2026-04-30 01:58:26 +00:00
user
8af0544ef0 chore(mcp): tighten OAuth root endpoint resolution 2026-04-29 18:36:17 -07:00
user
c76c300392 fix(mcp): address Greptile P2s on credential encoding helpers
Three minor fixes from Greptile review:

1. _decode_user_credential now also catches TypeError so a null
   credential_b64 value returns None instead of propagating, matching
   the documented "returns None when neither path yields a valid
   string" contract.

2. The OAuth2 BYOK guard error no longer claims the existing row is a
   BYOK credential — after a salt-key rotation, an OAuth2 row can fail
   to decrypt and reach the same guard.  Reword to "could not be
   verified as an OAuth2 token", which is accurate for both cases.

3. Drop the no-op sys.path.insert in the new test file (other tests
   in the directory don't need it; pytest picks up the package via
   the installed editable wheel).

Adds a regression test for the None-input case.
2026-04-30 00:44:37 +00:00
user
f3000bda36 chore(mcp): encrypt user-scoped credentials at rest
LiteLLM_MCPUserCredentials.credential_b64 stored both BYOK API keys and
OAuth2 access tokens as plain urlsafe-base64 of the raw value. Any DB
read could recover the upstream-provider key.

Run all writes through encrypt_value_helper (nacl SecretBox, the same
helper used for the server-level credentials column) and read back via
a small dual-path helper that tries decryption first, then falls back to
plain base64 so existing rows keep working until they get rewritten.

Folds the three near-identical "decode -> json.loads -> check type ==
oauth2" sites into _decode_oauth_payload, which simplifies the BYOK
guard inside store_user_oauth_credential.
2026-04-30 00:27:15 +00:00
Mateo Wang
9bc317b4d0
Merge pull request #26584 from BerriAI/litellm_mcp-oauth-azure-entra-discovery2
[Feat]Add support for azure entra discovery endpoint
2026-04-29 14:28:41 -07:00
Cursor Agent
3fb5056305
fix(mcp): address greptile review on short tool prefix
- server.py: drop the redundant server_id append in
  _get_filtered_mcp_servers_from_mcp_server_names. iter_known_server_prefixes
  already yields server_id unconditionally, so the manual append (and its
  misleading comment) was a no-op duplicate.
- utils.py: rewrite the SHORT_MCP_TOOL_PREFIX docstring to accurately
  describe the collision behaviour. The previous wording said collisions
  were 'cosmetic only', but a natural-hash collision IS a routing-correctness
  issue, which is precisely why we already added _assign_unique_short_prefix
  to rehash deterministically. The new comment cross-references that path.
- utils.py: restrict the first character of the short prefix to [A-Za-z]
  via a 52-char alphabet for position 0 only. The remaining two positions
  still use the full base62 alphabet. This keeps prefixes valid identifiers
  on every backend and gives 52*62*62 = 199_888 distinct prefixes (still
  comfortably more than any realistic deployment).
- tests: add coverage proving the first character of the prefix is always
  alphabetic across many server_ids and rehash attempts.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
2026-04-29 03:59:40 +00:00
Cursor Agent
df3dbd18d6
feat(mcp): rehash short tool prefix on collision and cache per server
Two MCP servers can natural-hash to the same three-character base62
prefix. With 62**3 = 238_328 slots the birthday bound is ~488 servers
for 50% collision probability, so a single proxy hosting more than
~100 MCP servers has a non-trivial chance of seeing a collision in
practice — and a collision means tool names from two different servers
share a routing key, causing silent mis-routing.

Mitigation:

- compute_short_server_prefix(server_id, attempt=N) folds an attempt
  counter into the SHA-256 seed, so rehashes are deterministic and
  produce a fresh three-char prefix space per attempt.
- New MCPServer.short_prefix field caches the resolved (post-dedup)
  prefix on the model so it stays stable across the process lifetime.
- MCPServerManager._assign_unique_short_prefix walks attempts 0..N
  until it finds a prefix not already used by another server in the
  combined registry. Logs an INFO line when a rehash happens so
  operators have a breadcrumb if it ever does.
- Wired into every registration path: load_servers_from_config,
  add_server, update_server, reload_servers_from_database. The
  database reload path also carries the previously-resolved prefix
  forward so reloads don't churn it.
- get_server_prefix prefers the cached short_prefix when set, so the
  resolved value (not the raw natural hash) is used everywhere.
- iter_known_server_prefixes yields the cached short_prefix too, so
  reverse-lookup tolerance covers the rehashed form.

No-op when LITELLM_USE_SHORT_MCP_TOOL_PREFIX is disabled — the field
stays None and behaviour is unchanged.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
2026-04-29 03:43:34 +00:00
Cursor Agent
fc49c181bc
feat(mcp): opt-in short-ID tool prefix to stay under 60-char tool name limit
Adds LITELLM_USE_SHORT_MCP_TOOL_PREFIX. When enabled, tool / prompt /
resource / resource-template names emitted from MCP servers are prefixed
with a deterministic three-character base62 ID derived from the server's
server_id (SHA-256 → base62) instead of the (potentially long)
alias / server_name. This keeps namespaced tool names well under the
60-character upper bound enforced by some model APIs while still letting
us distinguish MCP-routed tools from local tools.

Behavioural notes:

- Default off — when the env var is unset, the long-prefix behaviour
  is unchanged. The plan is to flip the default in a future release
  and remove the gate after a deprecation window.
- Prefix derivation is deterministic, so it is stable across processes,
  workers and restarts without any persistence layer.
- Reverse-lookup is tolerant: _create_prefixed_tools registers every
  known prefix form (alias / server_name / server_id / short ID) in
  the routing map and _get_mcp_server_from_tool_name resolves any of
  them. Old clients holding cached long-prefixed names continue to
  route correctly even after the flag is enabled.
- _get_allowed_mcp_servers_from_mcp_server_names accepts the short
  prefix in /mcp/{server_name}-style URLs.
- The OpenAPI tool-listing path now filters by the active server
  prefix instead of server.name so spec-backed servers benefit too.

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
2026-04-29 01:41:24 +00:00
Sameer Kankute
3e4f9af955
Add support for azure entra discovery endpoint 2026-04-27 13:56:35 +05:30
ryan-crabbe-berri
9f60b751e1
Merge pull request #26338 from BerriAI/litellm_feat-mcp-server-alias-permissions
feat(mcp): resolve team/key MCP permissions by name or alias
2026-04-25 13:22:04 -07:00
user
796844ee0a
test(mcp): explicit registry mock in TestMCPPublicRouteGuard
Greptile review feedback (P2): the two negative `.well-known`-substring
tests fell through to `_target_servers_use_oauth2`, which queries
`global_mcp_server_manager.get_mcp_server_by_name`. Without an explicit
mock the tests passed only because the real registry happens to be empty
in the test process. Mock the manager to return None so the assertion
exercises the fail-closed path explicitly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 03:46:45 +00:00
user
0a4640fbd0
fix(mcp): don't coerce ProxyException.code with int()
Greptile flagged a regression introduced in the previous commit's merged
exception handler: ``ProxyException.__init__`` normalizes ``code`` via
``str(code)``, so a ``code=None`` (valid per the type signature) becomes
the string ``"None"``. Coercing that with ``int(...)`` raises
``ValueError``, which propagates uncaught and rewrites the auth error as
an unhandled 500 — degrading security posture compared to the pre-merge
``str(e.code) in ("401", "403")`` shape.

Compare against both int and str forms of the auth-error codes instead
of coercing. Adds a regression test for the ``code=None`` case.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 00:42:43 +00:00
user
73869f0faf
fix(mcp): tighten public-route detection and OAuth2 fallback gating
Two related issues in `MCPRequestHandler.process_mcp_request`:

1. Public-route detection used `".well-known" in str(request.url)`, a
   substring match against the full URL. Attackers could smuggle the
   marker via the query string, hostname, or a deeper path segment to
   bypass authentication on any MCP route. Replaced with an exact path
   prefix on `request.url.path` (`startswith("/.well-known/")`).

2. The OAuth2 passthrough fallback (added in #20602 to support
   `auth_type=oauth2` upstream MCP servers like Atlassian) caught any
   401/403 from `user_api_key_auth` and replaced the result with an
   anonymous `UserAPIKeyAuth()`. That fallback fired regardless of the
   target server's configured `auth_type`, so an attacker presenting a
   garbage `Authorization` header could exchange a failed LiteLLM auth
   for an anonymous session against any server. The fallback now runs
   only when EVERY MCP server the request targets is operator-configured
   for `auth_type=oauth2`. For any non-oauth2 server (api_key,
   bearer_token, basic, etc.), the auth error propagates as before.

Target resolution prefers the `x-mcp-servers` header when present
(including the explicitly-empty case, which fails closed) and otherwise
parses the standard `/mcp/{server_name}` and `/{server_name}/mcp`
transport URL patterns. Routes that don't match either form fail closed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 00:18:36 +00:00
yuneng-jiang
51d4c6c2f2
Merge pull request #26274 from stuxf/fix/mcp-byok-oauth-auth
fix(mcp): harden OAuth authorize/token endpoints (BYOK + discoverable)
2026-04-24 13:05:44 -07:00
user
fea402c580
fix(mcp): fail closed on DB outage in BYOK credential check
`_check_byok_credential` previously returned silently when `prisma_client`
was None, bypassing BYOK ownership validation during database-outage
windows. Any proxy-authenticated user could invoke BYOK-protected MCP
tools without a stored credential during the outage window.

Now raises HTTP 503 with a structured error so the flow fails closed.

Regression test asserts 503 is raised when `prisma_client` is None.

Reported by @brodmart in GHSA-6762-2m23-5mxp.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 18:44:57 +00:00
Ryan Crabbe
09113078c0
style: apply black formatting 2026-04-23 16:00:28 -07:00
Ryan Crabbe
57b0d7f45f
fix(mcp): resolve tool_permissions dict keys by id-or-name
PR feedback (greptile P1 / veria high): with the previous change, a team
storing mcp_tool_permissions={"my-alias": ["read_file"]} would pass the
server-access check (because the alias expanded to a concrete id in the
allowed-servers list) but the per-server tool lookup still did
dict.get(server_id) against the raw name-keyed dict — missing, returning
None, which callers treat as "no restrictions" → all tools allowed instead
of only the declared ones.

Add MCPServerManager.expand_tool_permissions() that rewrites the dict so
every key is a concrete server_id where possible (tool lists from keys
pointing at the same server are unioned). Unresolved keys pass through
unchanged so stale id-keyed restrictions still apply when the same string
is used for lookup. Wire the helper into the four dict-lookup sites:
get_allowed_tools_for_server (key + team paths), the agent tool lookup,
and the rest_endpoints.py tool filter.

Also switch expand_permission_list to pass through unresolved entries
(rather than dropping them) so existing test fixtures that use bare string
placeholders continue to work. The downstream access check denies unknown
entries when compared to the concrete request server_id, so security
posture is unchanged.

Sanitize the debug log to use %r formatting so an admin-controlled
identifier with newlines can't forge log entries (CodeQL log-injection
warning).
2026-04-23 15:23:53 -07:00
Ryan Crabbe
85f9c5e83f
feat(mcp): resolve team/key MCP permissions by server name or alias
team.object_permission.mcp_servers (and the per-key equivalent) previously
only accepted server_id strings. For config-loaded MCP servers, the id is
derived from a hash that includes the server URL, so the same logical
server in two regions ends up with two different ids in a shared database.
Permission lists had to enumerate every region's id.

Add a single MCPServerManager.expand_permission_list() helper that resolves
each entry against the current region's config + DB registry union: entries
that match a server_id pass through, entries that match an alias/server_name/
name expand to every matching id, and unresolved entries drop with a debug
log so stale or typo entries are diagnosable. Wire it into the four
_get_allowed_mcp_servers_for_* helpers so direct server entries and
mcp_tool_permissions dict keys are both expanded before the intersection.

Access-check outcomes are unchanged for existing id-based permissions;
name-based entries now resolve instead of being silently denied.
2026-04-23 11:13:30 -07:00
user
f5b4564466
fix(mcp): OAuth 2.1 spec compliance + cookie exp + loopback edge cases
Address codex review P1 + P2 findings:

- BYOK /token now accepts OAuth 2.1 clients that omit redirect_uri
  (draft-15 §4.1.3 dropped the requirement). When the client does
  submit a value, equality is still enforced vs the /authorize record.
  PKCE + client_id binding cover the security role redirect_uri
  played under RFC 6749.
- _user_id_from_session_cookie requires the ``exp`` claim on the UI
  session JWT (PyJWT options={"require": ["exp"]}) so leaked cookies
  have a bounded lifetime.
- validate_loopback_redirect_uri rejects URIs with a fragment
  (RFC 6749 §3.1.2) and catches malformed-URI ValueError so
  unparseable input surfaces as 400 invalid_request instead of 500.
2026-04-23 03:39:41 +00:00
user
200a38c3af
fix(mcp): revalidate loopback at /callback + no-store on /token
Address codex review P0 + P1 findings on the discoverable OAuth proxy:

- /callback now re-validates that the decoded base_url is loopback before
  302-redirecting to it. State is encrypted but pre-existing states minted
  before the /authorize validation was added have no expiry and remain
  valid; validating at the sink closes the open-redirect + code-theft
  primitive for those stale states too. (VERIA-57 root cause B, P0.)
- /token responses now set Cache-Control: no-store + Pragma: no-cache
  per RFC 6749 §5.1 (P1).
- Move TOKEN_NO_CACHE_HEADERS constant from byok_oauth_endpoints into
  the shared oauth_utils module so both endpoints use the same value.
2026-04-23 03:16:37 +00:00
user
ef108e79a1
fix(mcp): validate loopback redirect_uri in discoverable OAuth proxy
Extract the BYOK loopback redirect_uri check into a shared
oauth_utils.validate_loopback_redirect_uri helper. Call it in
discoverable_endpoints.authorize_with_server before the client-supplied
redirect_uri is encrypted into the OAuth state.

Without this check, a non-loopback redirect_uri was encoded into the
state parameter and decoded on /callback to 302 the user back to the
attacker's URL with the authorization code attached — an open-redirect
+ code-theft primitive (VERIA-57 root cause B). The /callback handler
is already safe because state is HMAC-signed via encrypt_value_helper,
so validating at /authorize before encoding is sufficient.

Also updates existing tests to use loopback client redirect_uris and
adds regression tests for non-loopback rejection, IPv4 127.0.0.0/8
range acceptance, and full-form IPv6 loopback acceptance.
2026-04-23 03:01:18 +00:00
sakenuGOD
034f4fdef2
fix(mcp_semantic_tool_filter): match tools with client-side namespace prefix (#26078) (#26117)
* fix(mcp_semantic_tool_filter): match canonical tools that arrive with
a client-side namespace prefix.

`SemanticMCPToolFilter._get_tools_by_names` matched by exact equality
between the canonical name stored in the router
(`<server><MCP_TOOL_PREFIX_SEPARATOR><tool>`) and the name in the
incoming `tools[]` list. MCP clients such as opencode wrap every tool
name with their own additive alias prefix
(`<client_alias>_<canonical>`), so the two never matched, the filter
dropped every tool to zero, and the proxy forwarded `tools: []` with
`tool_choice: auto` — which strict upstream providers reject with a 400.

The fix adds anchored suffix matching with a separator check: the
canonical must form the complete tail of the incoming name and be
preceded by `_` or `-`. Exact matches still win over suffix matches,
incoming tools are returned at most once, and the original tool object
is passed through unchanged so the client-facing name survives for
tool-call round-trips.

Seven unit tests in a new TestGetToolsByNames class cover exact
match, underscore- and dash-prefixed variants, non-separator-anchored
suffixes (which must not match), exact-wins-over-prefixed precedence,
deduplication when two canonicals suffix-match the same incoming tool,
and ordering-follows-router-output.

Fixes #26078

* review: strengthen the suffix-fallback tie-breaker and the
deduplication regression test (Greptile comments on #26117)

- test_same_tool_not_returned_twice now passes two distinct canonicals
  ("read_file" and "file") that both suffix-match the same incoming
  tool, rather than the same canonical twice, so the assertion
  actually exercises the used_ids dedup path instead of the
  duplicate-input-list path.

- The suffix fallback in _get_tools_by_names now prefers the shortest
  incoming name that still qualifies under the separator-anchored
  match. In the one-prefix-per-client opencode scenario this is a
  no-op, but in multi-namespace configurations the shortest qualifying
  name is the least-wrapped one and is the most defensible deterministic
  choice, replacing the dict-insertion-order fallback.

- Adds test_suffix_fallback_prefers_shortest_candidate covering the
  new tie-breaker directly.

Still 15 tests passing locally (was 14).

* review(#26117): gate suffix-matching on canonical containing MCP_TOOL_PREFIX_SEPARATOR

@krrish-berri-2 flagged a possible collision in the suffix fallback:
a local user function whose name happens to end in a bare canonical
substring (e.g. my_firecrawl_scrape vs canonical firecrawl_scrape)
would be spuriously selected.

Server-registered MCP tools are always emitted as
<server_name><MCP_TOOL_PREFIX_SEPARATOR><tool_name> via
add_server_prefix_to_name, so a canonical without the separator is
not a namespaced MCP tool and does not warrant suffix matching.
Added that guard to _name_matches_canonical with a regression test
(test_does_not_collide_with_local_function_on_unprefixed_canonical)
that reproduces the collision before the fix and is pinned after.

Pre-existing TestGetToolsByNames fixtures that relied on bare
canonicals (get_weather, search, read_file, write/delete/read) were
switched to realistic server-prefixed ones so they continue to
exercise the suffix-fallback path under the new guard. The opencode
scenario (client prefix on already-server-prefixed canonical) is
unchanged.

---------

Co-authored-by: sakenuGOD <sakenuGOD@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrish+github@berri.ai>
2026-04-22 19:06:34 -07:00
user
862bad363e
fix(mcp): validate preconditions before consuming auth code
Address two Greptile P2 findings on the BYOK OAuth endpoints:

- GET /v1/mcp/oauth/authorize now runs _validate_redirect_uri up front
  so a non-loopback redirect_uri is rejected before the HTML form is
  rendered. Previously the user typed an API key, submitted, and got a
  400 with no form state.
- POST /v1/mcp/oauth/token moves the master_key guard ahead of the
  code-consumption and credential-store steps. Without this, a proxy
  with master_key unset would burn the code and persist the credential
  but return an error — leaving the user with no way to retrieve a
  session token without restarting the whole flow.
2026-04-22 21:26:27 +00:00
user
bd1c3ea94d
fix(mcp): harden BYOK OAuth authorize/token endpoints
- POST /v1/mcp/oauth/authorize now requires an authenticated UI session
  cookie. The authenticated user_id — not the OAuth client_id form
  field — is stamped onto the authorization code record (RFC 6749 §2.2:
  client_id identifies the client, not the user).
- redirect_uri is restricted to loopback per RFC 8252 §7.3 (localhost
  plus any ipaddress.is_loopback IP, covering 127.0.0.0/8 and IPv6
  loopback forms).
- POST /v1/mcp/oauth/token enforces exact-match of the redirect_uri and
  client_id submitted at /authorize (RFC 6749 §4.1.3).
- /token error responses use the RFC 6749 §5.2 format ({"error":
  "<code>"}), and all /token responses set Cache-Control: no-store +
  Pragma: no-cache (RFC 6749 §5.1).
2026-04-22 20:44:01 +00:00
ishaan-berri
ecff06df65
Merge pull request #26032 from BerriAI/litellm_mcp_pkce_fix_v2
fix(mcp): restore PKCE-triggering 401 when no stored per-user token exists
2026-04-18 14:52:31 -07:00
Ishaan Jaffer
b7813aad41
fix(mcp): restore PKCE-triggering 401 when no stored per-user token exists
Per-user OAuth MCP requests now only skip pre-emptive 401 when a stored token is available, preserving token-reuse behavior while restoring fast PKCE kickoff for first-time or missing-token users.
2026-04-18 14:04:22 -07:00
Ishaan Jaffer
e8461b5b97
style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
Ishaan Jaffer
9977e63e3c
Merge remote-tracking branch 'origin/main' into worktree-foamy-jumping-coral 2026-04-15 18:29:55 -07:00
Ishaan Jaffer
537e72c742
style: black format test_mcp_server.py 2026-04-15 18:19:21 -07:00
Ishaan Jaffer
fcd71e0026
style: black format test_mcp_server_manager.py 2026-04-15 18:19:17 -07:00
Ishaan Jaffer
9a154a3be7
style: black format test_mcp_sigv4_auth.py 2026-04-15 18:19:08 -07:00
Ishaan Jaffer
e20c114811
fix(mcp): set instructions=None in SigV4BuildFromTable test mocks
New MCPServer.instructions field requires a str; MagicMock attributes
not explicitly set return a MagicMock object, which fails Pydantic
validation.
2026-04-14 11:05:22 -07:00
Sameer Kankute
972e42c7fd
Merge branch 'main' into litellm_oss_staging_04_04_2026 2026-04-14 20:23:06 +05:30
Milan
e7c630ed19
refactor: inline get_upstream_initialize_instructions
Remove the trivial one-line wrapper and access the dict directly.

Made-with: Cursor
2026-04-14 15:59:00 +03:00
Milan
7e656f4329
test: add unit tests for MCP initialize instructions feature
Extend existing test modules with coverage for the instructions merge
logic, upstream cache, ContextVar-based injection, and client-side
capture — following each file's established patterns.

Made-with: Cursor
2026-04-14 15:54:27 +03:00
Sameer Kankute
ad31e79b97
fix(mcp): address Greptile review feedback
- Defense-in-depth: warn instead of hard-fail for legacy servers
- Move os import to module level in _types.py
- Document args residual risk in allowlist comment
- Add UpdateMCPServerRequest allowlist test

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 19:42:41 +05:30
Sameer Kankute
7b7f304675
fix(mcp): block arbitrary command execution via stdio transport
Add command allowlist for MCP stdio transport to prevent RCE via
/mcp-rest/test/* endpoints. Restrict test endpoints to PROXY_ADMIN
role. Fix docker/README.md MASTER_KEY -> LITELLM_MASTER_KEY.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 19:42:37 +05:30
d 🔹
cf94f4d8b7
fix(mcp): is_tool_name_prefixed validates against known server prefixes (#25085)
Fixes #25081.

is_tool_name_prefixed() checked for the presence of MCP_TOOL_PREFIX_SEPARATOR
(default '-') anywhere in the tool name.  Any non-MCP tool whose name
contains a hyphen (e.g. 'text-to-speech', 'code-review') was silently
misclassified as an MCP-prefixed tool.  When the semantic tool filter is
enabled, these tools would be routed through semantic matching and
potentially dropped.

Fix: accept an optional known_server_prefixes set.  When supplied, the
function extracts the candidate prefix (text before the first separator)
and checks it against the normalised set of registered server prefixes.
Only a genuine match returns True.  Without the set, legacy behaviour is
preserved for backward compatibility.

Updated _get_mcp_server_from_tool_name() to build the prefix set from
the live registry and pass it through.

9 new tests.

Co-authored-by: d 🔹 <258577966+voidborne-d@users.noreply.github.com>
2026-04-04 18:23:32 -07:00
ishaan-berri
61b295238b
cherry-pick: tag query fix + MCP metadata support (#25145)
* added support for metadata (#24261)

* added support for metadata

* fix: PR review - meta truthiness, BlobResourceContents mimeType, add Blob+empty meta tests

Made-with: Cursor

* pyproject to .25

* feat(teams): resolve access group models/MCPs/agents in team endpoints

Add access_group_models, access_group_mcp_server_ids, and
access_group_agent_ids to /team/info and /v2/team/list responses.
These fields contain resources inherited from access groups, kept
separate from direct assignments so the UI can distinguish the source.

Backend: _resolve_access_group_resources() helper resolves access
group resources via existing _get_*_from_access_groups() functions.

UI: Teams table and detail view show direct models as blue badges
and access-group-sourced models as green badges.

* perf(teams): single-pass access group resolution + asyncio.gather in list endpoint

- Fetch each access group object once and extract all 3 resource fields
  in a single pass instead of 3 separate calls (3N → N lookups)
- Use asyncio.gather to resolve access groups across teams concurrently
  in list_team_v2 instead of sequential awaits
- Add 5 unit tests for _resolve_access_group_resources

* docs: add default_team_params to config reference and update examples

- Add default_team_params to litellm_settings reference table in
  config_settings.md with all sub-fields documented
- Update self_serve.md and msft_sso.md examples to include
  team_member_permissions, tpm_limit, and rpm_limit
- Fix misleading comment that implied default_team_params only applies
  to SSO auto-created teams — it applies to all /team/new calls

* docs: clarify that models sub-field only applies to SSO auto-created teams

* fix: lazy import get_access_object to break cyclic import + short-circuit all-proxy-models display

- Remove get_access_object from module-level import in team_endpoints.py
  and use a lazy _get_access_object wrapper to avoid cyclic dependency
- Add _prisma_client is None early-exit guard in _resolve_access_group_resources
- Short-circuit UI to show "All Proxy Models" when team.models is empty
  or contains "all-proxy-models", skipping access group model resolution

* add: making organizations a select instead of read only badges

* fix(ui): only send organization_id when changed and use raw initial value

* fix(ui): add paginated team search to usage page filter

Replace the static team dropdown on the usage page with a new
TeamMultiSelect component that uses the paginated v2/team/list
endpoint with debounced server-side search and infinite scroll.

* fix(ui): fix imports and update placeholder for team multi select

* fix(ui): wire team_id filter to key alias dropdown on Virtual Keys tab

The Key Alias dropdown on the Virtual Keys page was showing aliases from
all teams regardless of which team was selected. The team_id was never
passed through the frontend chain to the backend /key/aliases endpoint.

- Backend: add optional team_id query param to /key/aliases endpoint
- networking.tsx: add team_id param to keyAliasesCall
- useKeyAliases: accept and forward team_id to API call and query key
- filter.tsx: pass allFilters context to custom filter components
- PaginatedKeyAliasSelect: read Team ID from allFilters and pass to hook

* fix(tests): correct mock targets in TestResolveAccessGroupResources

Three tests were patching the non-existent `get_access_object` instead
of `_get_access_object` (the lazy-import wrapper), causing AttributeError.
Also added missing `prisma_client` mock so tests get past the early-exit
guard and actually exercise the resolution logic.

* fix: use direct attribute access with or [] fallback in _resolve_access_group_resources

Replace getattr(ag, "field", []) with ag.field or [] for cleaner
access and safe handling if a field is None.

* fix(ui): remove model source legend from team detail view

The blue/green color distinction is self-explanatory; the legend added
visual clutter without providing enough value.

* fix(ui): add missing access_group fields to TeamData.team_info type

The TeamData interface was missing access_group_models,
access_group_mcp_server_ids, and access_group_agent_ids fields,
causing a TypeScript build failure.

* perf(teams): batch-fetch access groups in single DB query

Replace per-ID _resolve_access_group_resources loop with a single
find_many call that deduplicates IDs across all teams. Removes the
N+1 query pattern on cold cache for the team list endpoint.

* refactor(proxy): extract helpers to fix PLR0915 violations

Extract `_apply_non_admin_alias_scope` from `key_aliases`,
`_resolve_team_access_group_resources` from `team_info`, and
`_enforce_list_team_v2_access` from `list_team_v2` to bring each
function under ruff's 50-statement limit. No behavior changes.

* test(ui): update tests to match new team_id / access-group signatures

- useKeyAliases, PaginatedKeyAliasSelect: add trailing `undefined` to
  spy matchers for the new `team_id` param on `useInfiniteKeyAliases`
  and `keyAliasesCall`.
- EntityUsage: mock new `TeamMultiSelect` child so QueryClientProvider
  is not required for team-entity tests.
- ModelsCell: replace the overflow-accordion test with one that
  verifies the new collapse-on-`all-proxy-models` behavior (no
  accordion, single badge).

* fix(ui): send null (not '') for cleared organization_id on team update

AntD <Select allowClear> returns undefined when the user clears the
selection. Coalescing to "" caused the team-update payload to carry
organization_id: "" instead of null, relying on the backend to coerce
it. Send null directly so the intent is explicit at the source.

* poetry

* chore: regen poetry.lock for litellm-proxy-extras 0.4.64 bump

* chore: update Next.js build artifacts (2026-04-04 17:55 UTC, node v22.16.0)

---------

Co-authored-by: shivam <shivam@uni.minerva.edu>
Co-authored-by: Ryan Crabbe <ryan@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>

* Tag query fix (#25094)

* feat(tag-spend): implement separate scheduler job for daily tag spend updates

* fix(docker): add g++ to build dependencies in Dockerfile

* initial test cases. TODO: check scheduler init and test cases in proxy_server related to it

* resolved QPS issue when redis transaction buffer is enabled

* resolving circular import error flagged by greptile

* fix(mypy): use Optional[str] for api_base in PydanticAI provider to match superclass signature

---------

Co-authored-by: Shivam Rawat <shivam@berri.ai>
Co-authored-by: shivam <shivam@uni.minerva.edu>
Co-authored-by: Ryan Crabbe <ryan@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: Harish <harishgokul01@gmail.com>
Co-authored-by: Ishaan Jaffer <ishaan@berri.ai>
2026-04-04 16:44:02 -07:00
ishaan-berri
693ad49719
Litellm ishaan march23 - MCP Toolsets + GCP Caching fix (#25146) (#25155)
* Litellm ishaan march23 - MCP Toolsets + GCP Caching fix  (#25146)

* feat(mcp): MCP Toolsets — curated tool subsets from one or more MCP servers (#24335)

* feat(mcp): add LiteLLM_MCPToolsetTable and mcp_toolsets to ObjectPermissionTable

* feat(mcp): add prisma migration for MCPToolset table

* feat(mcp): add MCPToolset Python types

* feat(mcp): add toolset_db.py with CRUD helpers for MCPToolset

* feat(mcp): add toolset CRUD endpoints to mcp_management_endpoints

* fix(mcp): skip allow_all_keys servers when explicit mcp_servers permission is set (toolset scope fix)

* feat(mcp): add _apply_toolset_scope and toolset route handling in server.py

* fix(mcp): resolve toolset names in responses API before fetching tools

* feat(mcp): add mcp_toolsets field to LiteLLM_ObjectPermissionTable type

* feat(mcp): register LiteLLM_MCPToolsetTable in prisma client initialization

* feat(mcp): validate mcp_toolsets in key-vs-team permission check

* feat(mcp): register toolset routes in proxy_server.py

* feat(mcp): add MCPToolset and MCPToolsetTool TypeScript types

* feat(mcp): add fetchMCPToolsets, createMCPToolset, updateMCPToolset, deleteMCPToolset API functions

* feat(mcp): add useMCPToolsets React Query hook

* feat(mcp): add toolsets (purple) as third option type in MCPServerSelector

* feat(mcp): extract toolsets from combined MCP field in key form

* feat(mcp): extract toolsets from combined MCP field in team form

* feat(mcp): show toolsets section in MCPServerPermissions read view

* feat(mcp): pass mcp_toolsets through object_permissions_view

* feat(mcp): add MCPToolsetsTab component for creating and managing toolsets

* feat(mcp): add Toolsets tab to mcp_servers.tsx

* feat(mcp): pass mcpToolsets to playground chat and responses API calls

* feat(mcp): generate correct server_url for toolsets in playground API calls

* docs(mcp): add MCP Toolsets documentation

* docs(mcp): add mcp_toolsets to sidebar

* fix(mcp): replace x-mcp-toolset-id header with ContextVar to prevent client forgery

* fix(mcp): use ContextVar + StreamingResponse for toolset MCP routes (fixes SSE streaming)

* fix(mcp): cache toolset permission lookups to avoid per-request DB calls

* test(mcp): add tests for toolset scope enforcement, ContextVar isolation, and access control

* fix(mcp): cache toolset name lookups in MCPServerManager to avoid per-request DB calls

* fix(mcp): prevent body_iter deadlock + use cached toolset lookup in responses API

- _stream_mcp_asgi_response: add done callback to handler_task that puts
  the EOF sentinel on body_queue when the task exits, preventing body_iter
  from hanging forever if the handler raises after headers are sent.
- litellm_proxy_mcp_handler: replace raw get_mcp_toolset_by_name() DB call
  with global_mcp_server_manager.get_toolset_by_name_cached() so toolset
  resolution uses the 60s TTL cache added for this purpose instead of
  hitting the DB on every responses-API request.

* fix(mcp): toolset access control, asyncio fix, and real unit tests

- server.py: _apply_toolset_scope now enforces that non-admin keys must
  have the requested toolset_id in their mcp_toolsets grant list;
  admin keys always bypass the check.
- mcp_management_endpoints.py: three access-control fixes:
  * fetch_mcp_toolsets: non-admin keys with mcp_toolsets=None now
    return [] instead of all toolsets (only admins get 'all' when
    the field is absent)
  * fetch_mcp_toolset: non-admin keys that haven't been granted the
    requested toolset_id now get 403 instead of the full result
  * add_mcp_toolset: duplicate toolset_name now returns 409 Conflict
    instead of an opaque 500
- proxy_server.py: use asyncio.get_running_loop() instead of
  get_event_loop() inside an already-running coroutine (Python 3.10+).
- test_mcp_toolset_scope.py: replace four hollow tests that only
  asserted local variable properties with real tests that call the
  production fetch_mcp_toolsets() and handle_streamable_http_mcp()
  functions with mocked dependencies.

* fix(mcp): add mcp_toolsets to ObjectPermissionBase, fix multi-toolset overwrite, fix delete 404, allow standalone key toolsets

* fix(mcp): add auth check on toolset resolution in responses API; union mcp_servers in _merge_toolset_permissions

* fix(mcp): handle RecordNotFoundError in update_mcp_toolset; union direct servers with toolset servers

* fix(mcp): use _user_has_admin_view; deny None mcp_toolsets for non-admin; use direct RecordNotFoundError import; fix docstring

* fix(mcp): add @default(now()) to MCPToolsetTable.updated_at; fix test for non-admin toolset access

* fix: use UniqueViolationError import; guard _ensure_eof for error/cancel only

* fix(mcp): preserve mcp_access_groups in toolset scope, use shared Redis cache for toolset perms

- Remove mcp_access_groups=[] from _apply_toolset_scope (server.py) and the
  responses API toolset path (litellm_proxy_mcp_handler.py). A key's access-group
  grants remain valid even when the request is scoped to a single toolset; clearing
  them silently revoked legitimate entitlements.

- Switch resolve_toolset_tool_permissions and get_toolset_by_name_cached to use
  user_api_key_cache (Redis-backed DualCache in production) instead of per-instance
  in-memory dicts. Cache entries are now shared across workers, eliminating the
  per-worker stale-toolset-permission window flagged as a P1 by Greptile.

- Use union merge (set union of tool names per server) when applying toolset
  permissions in the responses API path so direct-server tool restrictions are not
  overwritten by toolset permissions.

* fix(mcp): return 404 when edit_mcp_toolset target does not exist

* fix(mcp): align mcp_toolsets default to None in LiteLLM_ObjectPermissionTable

* fix(mcp): admin toolset visibility, in-place tool name mutation, test helper coercion

* fix(mcp): treat None/[] team mcp_toolsets as no restriction in key validation

* fix(mcp): allow_all_keys backward compat, blocked_tools API write-path, efficient startup query

* fix(mcp): use _mcp_active_toolset_id ContextVar to detect toolset scope, avoiding DB-default false-positive

* fix(mcp): remove dead toolset cache stubs, log invalidation failures, align schema updated_at defaults

* fix(mcp): deserialise MCPToolset from Redis cache hit, replace fastapi import in test

* fix(mcp): evict name-cache on toolset mutation, 409 on rename conflict, warning-level list errors

* fix(redis): regenerate GCP IAM token per connection for async cluster (#24426)

* fix(redis): regenerate GCP IAM token per connection for async cluster clients

Async RedisCluster was generating the IAM token once at startup and
storing it as a static password. After the 1-hour GCP token TTL, any
new connection (including to newly-discovered cluster nodes) would fail
to authenticate.

Fix: introduce GCPIAMCredentialProvider that implements redis-py's
CredentialProvider protocol. It calls _generate_gcp_iam_access_token()
on every new connection, matching what the sync redis_connect_func
already does. async_redis.RedisCluster accepts a credential_provider
kwarg which is invoked per-connection.

* refactor(redis): move GCPIAMCredentialProvider to its own file

Extract GCPIAMCredentialProvider and _generate_gcp_iam_access_token
into litellm/_redis_credential_provider.py. _redis.py imports them
from there, keeping the public API unchanged.

* fix: address Greptile review issues

- GCPIAMCredentialProvider now inherits from redis.credentials.CredentialProvider
  so redis-py's async path calls get_credentials_async() properly
- move _redis_credential_provider import to top of _redis.py (PEP 8)
- remove dead else-branch that silently no-oped (gcp_service_account from
  redis_kwargs.get() was always None since it's popped by _get_redis_client_logic)
- remove mid-function 'from litellm import get_secret_str' inline import
- remove unused 'call' import from test_redis.py

* chore: retrigger CI/review

* chore: sync schema.prisma copies from root

* chore: sync schema.prisma copies from root

* fix(proxy_server): use bounded asyncio.Queue with maxsize to prevent unbounded growth

* fix(a2a/pydantic_ai): make api_base Optional to match base class signature

* fix(a2a/pydantic_ai): make api_base Optional in handler and guard against None

* fix(mcp): remove unused get_all_mcp_servers import

* fix(mcp): remove unused MCPToolset import

* refactor(mcp): extract toolset permission logic to reduce statement count below PLR0915 limit

* fix(tests): update reload_servers_from_database tests to mock prisma directly

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* fix(toolset_db): lazy-import prisma to avoid ImportError when prisma not installed

* fix(tests): update UI tests for toolset tab and updated empty state text

* fix(tests): add get_mcp_server_by_name to fake_manager stub

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-04-04 16:23:21 -07:00
ishaan-berri
b53cfe729a
Litellm ishaan march30 (#24887) (#25151)
* fix(pricing): add unversioned vertex_ai/claude-haiku-4-5 entry

Missing unversioned entry causes cost tracking to return $0.00 for
all requests using vertex_ai/claude-haiku-4-5. All other Vertex AI
Claude models have both versioned and unversioned entries.

* fix(router): skip misleading tags error when no candidates (e.g. cooldown)

Return early from get_deployments_for_tag when healthy_deployments is empty so
tag-based routing does not raise no_deployments_with_tag_routing after cooldown
filters all deployments. Adds regression test.

Made-with: Cursor

* feat(oci): add embedding support and update model catalog

- Add OCIEmbeddingConfig for OCI GenAI embedding models
- Add 16 new chat models (Cohere, Meta Llama, xAI Grok, Google Gemini)
- Add 8 embedding models (Cohere embed v3.0, v4.0)
- Update documentation with embedding examples
- Update pricing for all new models



* test(oci): add unit tests for OCI embedding support

- 17 unit tests covering OCIEmbeddingConfig
- Tests for URL generation, param mapping, request/response transform
- Tests for model pricing JSON completeness



* style(oci): format with black and ruff

* fix(oci): correct embedding request body format

OCI embedText API expects inputs, truncate, and inputType at the
top level of the request body, not nested under embedTextDetails.
Fixed transformation and updated tests accordingly.

Verified with real OCI API: 3/3 embedding models working.

* docs: clarify tag routing early return and test intent

Made-with: Cursor

* fix(oci): address code review findings from Greptile

- P1: Fix signing URL mismatch with custom api_base by accepting
  api_base parameter in transform_embedding_request
- P2: Remove encoding_format from supported params (OCI does not
  support it, was silently dropped)
- P2: Raise ValueError for token-array inputs instead of silently
  converting to string representation
- Add test for token-list rejection

* fix(mcp): add STS AssumeRole support for MCP SigV4 authentication

MCPSigV4Auth only supported static AWS credentials or the boto3 default
credential chain. Production Kubernetes environments typically authenticate
via IAM role assumption (sts:AssumeRole), which was not possible.

Add aws_role_name and aws_session_name parameters to the MCP SigV4 auth
stack. When aws_role_name is provided, MCPSigV4Auth calls sts:AssumeRole
to obtain temporary credentials before signing requests. Explicit keys,
if also provided, are used as the source identity for the STS call;
otherwise ambient credentials (pod role, instance profile) are used.

* fix: stop logging credential values and add missing redaction patterns

Replaces raw credential values in debug/error log messages with
boolean presence checks or type names. Adds PEM block, GCP token,
JWT, SAS token, and service-account blob patterns to the redaction
filter. Fixes private_key pattern to capture full PEM blocks instead
of stopping at the first whitespace.

Addresses: Vertex AI credential JSON (including RSA private key)
being logged to stderr on health check failures.

* fix: log only field names for UserAPIKeyAuth, not full object

* style: apply black formatting to experimental_mcp_client/client.py

* style: fix black/isort formatting and mypy error in proxy_server.py

- Fix black formatting in experimental_mcp_client/client.py (done in prev commit)
- Fix black/isort formatting in key_management_endpoints.py, proxy_server.py, transformation.py
- Fix mypy: iterate over optional list safely (access_group_ids or []) in proxy_server.py

* fix(test): patch check_migration.verbose_logger directly to fix xdist ordering issue

When test_proxy_cli.py tests run before test_check_migration.py in the same
xdist worker, litellm.proxy.db.check_migration is already in sys.modules.
Patching litellm._logging.verbose_logger has no effect on the already-bound
reference. Patch the correct target (check_migration.verbose_logger) and
import the module before patching so the order doesn't matter.

* fix(mypy): make api_base Optional in PydanticAIProviderConfig to match base class signature

---------

Co-authored-by: Ihsan Soydemir <soydemir.ihsan@gmail.com>
Co-authored-by: Milan <milan@berri.ai>
Co-authored-by: Daniel Gandolfi <danielgandolfi@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
Co-authored-by: user <70670632+stuxf@users.noreply.github.com>
Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
2026-04-04 14:44:07 -07:00
ishaan-berri
4c06e4379b
Litellm ishaan april2 (#25113)
* feat: add brave/search to model_prices_and_context_window.json (#25042)

Brave Search is supported by litellm as a search provider (documented at
docs.litellm.ai/docs/search/brave and listed in provider_endpoints_support.json)
but was missing from model_prices_and_context_window.json, making it invisible
to any code that discovers search providers from litellm.model_cost.

Cost: $0.005/query ($5 per 1,000 requests) per https://brave.com/search/api/

* feat(models): add NVIDIA Nemotron 3 Super 120B on Bedrock (#24588)

* feat(models): add NVIDIA Nemotron 3 Super 120B on Bedrock

Add model definition for nvidia.nemotron-3-super-120b-a12b-v1 via
Bedrock Converse API with pricing, context window (256k/32k), and
capability flags (function calling, tool choice, system messages).

* fix model ID to nvidia.nemotron-super-3-120b + add tests

Correct the Bedrock model ID from nvidia.nemotron-3-super-120b-a12b-v1
(NVIDIA's internal name) to nvidia.nemotron-super-3-120b (the actual
AWS Bedrock programmatic model ID). Add unit tests verifying model
resolution, pricing, and context window.

* fix(proxy): allow JWT auth for /v1/mcp/server sub-paths (#24698)

mcp_routes only contained "/v1/mcp/server" (exact match). Starlette's
compile_path produces an end-anchored regex, so sub-paths like
/register, /health, /submissions, /oauth/* all failed the JWT
allowed_routes_check. Add a {path:path} wildcard entry so all
sub-paths are covered.

---------

Co-authored-by: Daniel Yudelevich <4537920+yudelevi@users.noreply.github.com>
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
2026-04-04 12:31:49 -07:00