* fix(sso): resolve multi-valued role claims to the highest privilege role
A role claim carrying several roles used to resolve to whichever one the IdP
listed first, so a user holding both proxy_admin_viewer and internal_user lost
org-level spend visibility depending on claim ordering alone.
get_litellm_user_role now picks the highest privilege role out of a list-valued
claim, and the Entra app_roles path shares that same resolution instead of
keeping its own copy of the hierarchy. SAML assertions carrying several role
values go through the same path rather than taking the first value.
* test(sso): lock ranked-over-unranked role resolution for mixed claims
org_admin, team and customer sit outside the privilege ladder. Pin the
resolution for a claim that mixes one of them with a ranked role so the
asymmetry is covered rather than implicit.
* fix(sso): label the claim-sequence cast for the type-discipline gate
* fix(sso): resolve claim entries without recursing
The repo's recursive-function gate rejects self-recursion here, and a role
claim is flat anyway. Pull the single-value lookup into its own helper so the
list branch maps over it instead of calling back into itself.
get_api_key had no callers. main.py imported it without using it, and
because main.py declares no __all__, the star import in __init__.py
published it as litellm.get_api_key. It duplicated key resolution that
get_llm_provider_logic already performs, which is how a misspelled env
var survived in it unnoticed until #35985. Drop the definition, the
unused import, the test that pinned the ai21 branch, and ratchet the
lint budgets down by the violations it carried.
Resolves LIT-5245
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Any pre_call guardrail on /v1/responses flattened Codex namespace tools
into ns__member functions and wrote the flattened list back to the
request, so the model called mcp__server__tool with no namespace and
Codex rejected the call as unsupported.
The handler now keeps the client's original tools, hands the guardrail a
deep copy of the flattened ones, and rebuilds data["tools"] by matching
the guardrail's output to the originals by type and name. Unchanged
tools go back as the original objects, a dropped or edited namespace
member changes only that member, and tools the guardrail injects are
still appended.
Fixes#39183
Narrows reportAny / reportExplicitAny hot spots in provider transformations,
proxy endpoints, integrations and secret managers by introducing TypedDicts,
Protocols and object-typed boundaries instead of Any, then ratchets the
budget ceilings down to match.
reportAny 14765 -> 14076, reportExplicitAny 4493 -> 4128, ANN401 387 -> 307
Resolves budget-ratchet conflicts by taking staging's tighter limits and reworks the embedding raw-response helpers so the branch stays net-negative on the LIT001/LIT002 ceilings staging lowered: the request methods now return the LegacyAPIResponse and each caller keeps a single dict(headers) conversion.
The typed rewrite made the properties recursion call .get on every child,
so a malformed schema with a string or list property value raised
AttributeError where it previously passed through untouched.
* feat(proxy): CyberArk Conjur secret manager configuration via Admin UI
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(ui): mock networking base-url helpers in AdminPanel test
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): restore deployment CyberArk env config on delete and roll back on persist failure
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): reinit env-configured hashicorp vault manager after cyberark persist rollback
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The omitted-format path deliberately no longer dispatches through
embeddings.create, so four legacy tests now intercept at the transport or
client.post instead. Also adds a bypass error-path unit test, rewords a stale
comment and a README scope note, and ratchets the lint budgets down.
Adds litellm/litellm_core_utils/aws_partition.py mapping a region to its
AWS partition (aws, aws-cn, aws-us-gov, and the iso partitions), its DNS
suffix, and its ARN prefix, and uses it at every AWS host and ARN build
site: bedrock (runtime, agent, agentcore, legacy client, batches, files,
realtime), sagemaker, polly, secrets manager, s3 log uploads, bedrock
passthrough routes, and rag ingestion. ARN detection now accepts
arn:aws-cn: and arn:aws-us-gov: prefixes.
STS region resolution now falls back to the configured aws_region_name
after the aws_sts_endpoint host and the AWS_REGION/AWS_DEFAULT_REGION env
vars, so cn and gov role assumption no longer silently signs against
us-west-2.
A partition sweep test walks every endpoint builder with cn regions and
asserts no amazonaws.com host or arn:aws: prefix comes out, plus an AST
guard that fails on any new f-string hardcoding either literal.
Removes restating comments added with the Teams alerting destination and the
lazy OpenAPI snapshot refactor, types three signatures that shipped untyped or
with bare dict, and ratchets the strict and basedpyright budgets down.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The merge brought 326 upstream commits, which moved every gate's base
count. Re-runs the ratchet once so the limits track the cleared headroom
at cd63c7e5a7 instead of the pre-merge base.
basedpyright -1955 across 48 rules, ruff-strict -310, LIT -106.
Cache-hit success callbacks in short-lived SDK scripts enqueue
Logging.async_success_handler onto the global logging worker; the worker
loop dequeues the task and asyncio.run cancels the processing task before
it ever starts, so the coroutine leaves the queue unawaited and the atexit
flush finds an empty queue and rescues nothing. Track dequeued-but-unfinished
tasks with strong refs and have the atexit flush run any whose coroutine
never started
Together AI moved its canonical API host from api.together.xyz to
api.together.ai. Default the provider api_base and the rerank handler to
the new host, make rerank honor api_base and TOGETHER_AI_API_BASE like
chat already does, map both hosts to together_ai when passed as
api_base, and delete the dead models/info fetch in factory.py.
Every repository handed its `.table` back untyped, so a dozen modules had
each grown a private `_PrismaTableActions` Protocol to paper over it. They
had drifted: some declared `update` as returning the row, others the row or
None, and none agreed on whether `find_many` was covariant
Replace all of them with a single `TableActions[RowT_co]` in
`litellm/repositories/prisma_protocols.py`, keyed to the prisma row each
repository is bound to. Query inputs stay `Mapping[str, object]` so callers
keep passing plain dicts, and `find_many` returns `Sequence` so the row type
stays covariant
Typing the nullable returns honestly surfaced paths that were already
crashing. A team admin could never edit or delete a memory entry owned by
their team: the write-auth check fed a raw prisma row to a helper that
expects the domain model, so `members_with_roles` arrived as plain dicts and
the request died as a 500 instead of applying the edit. Non-admin members hit
the same 500 in place of the 403 they were owed, so refusal and breakage were
indistinguishable. `/v2/model/info?user_models_only=true` dereferenced a
missing user row rather than returning the 400 the route already had, three
team routes dereferenced a team deleted between the read and the write, and
the agent registry dereferenced a missing agent instead of naming it
basedpyright drops 2,132 errors, 1,454 of them reportAny and 73
reportExplicitAny. The dashboard's generated types pick up `string[]` where
they had `unknown[]` for a team's members, admins and models
type the strategy-router health check params instead of a bare dict, annotate
the new interactions usage locals Final, drop a reportUnnecessaryIsInstance
suppression by narrowing the grounding tool list before iterating it, and delete
the duplicated file-id decode comment
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Follow-up to #38130. The function has no callers in the repo or the docs and is
not exported from `litellm/__init__.py`, and `token_counter` already does the same
job better, so keeping a second entry point only preserves a trap.
That trap is real: Greptile flagged on #38130 that `token_counter` picks the claude
tokenizer only for bare ids. `claude-sonnet-4-5` resolves to huggingface_tokenizer,
while `claude-3-opus-20240229` and `anthropic/claude-sonnet-4-5` fall back to the
OpenAI one, 24 tokens against 27 on the same string. Deleting the wrapper removes
the surface rather than papering over it; the selection gap in `token_counter`
itself is worth its own fix.
BREAKING CHANGE: `from litellm.utils import prompt_token_calculator` no longer
resolves. Use `litellm.token_counter(model=..., text=...)`.
The claude branch called the anthropic SDK's `Anthropic().count_tokens`, which the
SDK removed, so every claude call raised AttributeError. Counting now goes through
litellm's own token_counter, which handles anthropic models offline and drops the
SDK dependency entirely.
Hiding that was a swallowed error: `except Exception: Exception("Anthropic import
failed please run `pip install anthropic`")` built the exception without raising
it, so an environment missing the SDK fell through to the unguarded
`from anthropic import ...` on the next line and got a bare ModuleNotFoundError
instead of the install hint.
That was the codebase's last PLW0133, so the rule graduates from the ratcheted
budget into ruff.toml where it hard-fails, and editors get the diagnostic inline.
Type the annotations that landed in the last 24 hours and ratchet the lint budgets down accordingly. No behavior change.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
