* 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>
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>
Retypes the 54 highest-density reportAny/reportExplicitAny sources with real
types instead of shuffling the ceilings around: typed prisma table Protocols so
the untyped client surface stops at the query, local TypedDicts for JSON and
dict payloads, concrete chunk and logging types on the streaming and callback
surfaces, and 3-argument getattr with a Callable annotation where an SDK object
is genuinely duck-typed
No cast(), no type: ignore, no noqa, no suppression comments, and no new Any
annotations. Whole-tree basedpyright drops 1,941 errors with no rule rising
anywhere, and all three budget files are ratcheted so the cleared headroom
cannot silently grow back
Adds a GDC regression test pinning the named AttributeError that the typed
credential accessor now raises when with_gdch_audience is missing
Agent registry CRUD (/v1/agents*) sat in agent_routes, which feeds
llm_api_routes, so DISABLE_LLM_API_ENDPOINTS returned "LLM API routes are
disabled for this instance." for every Admin UI Agents tab call. Split the
group the same way MCP is split: agent_inference_routes stays on the data
plane, agent_management_routes joins management_routes, and agent_routes
remains their union for keys configured with allowed_routes=["agent_routes"].
Non-admin callers reached agent CRUD through llm_api_routes before, so the
management paths also join self_managed_routes and the llm_api_routes virtual
key carve-out; the handlers already scope reads by role and 403 non-admin
writes.
Both new groups are tuples, so check_route_access now takes a Sequence and
matches wildcards through a generator instead of materializing an
intermediate list on every call.
Azure Database for PostgreSQL Flexible Server takes a Microsoft Entra ID access
token as the connection password, and those tokens last about an hour, so a
proxy pointed at one dies shortly after boot unless something keeps minting
fresh ones
Set AZURE_POSTGRESQL_AUTH=True (or pass --azure_postgresql_auth) alongside
DATABASE_HOST, DATABASE_USER, and DATABASE_NAME, and the proxy mints a token at
startup, assembles the connection URL around it, and refreshes it in the
background for as long as the process runs. That is the same shape
IAM_TOKEN_DB_AUTH already had for AWS RDS, so the two now share one code path:
a tagged union picks the minting strategy once, and the wrapper, the read
replica, and the refresh loop all read the choice off it instead of each
guessing from the environment. Setting both toggles is a startup error, in the
chart as well as in Python
The helm chart gets database.writer.useAzureEntraAuth and the matching reader
knob next to the existing useIAMAuth
Fixes#29661
Co-authored-by: David Balatoni <balcsida@gmail.com>
Every dynamic tracer-provider build called Resource.create, which scans the entry
points of every installed distribution, roughly 3ms and 200 file opens. The dynamic
providers reach it from the async logging path, which runs on the event loop serving
requests, so past the provider cache bound every request paid it and delayed the
requests in flight alongside it
The value derives only from the logger's config and process environment, so it is
built once per logger and reused. This logger's own init-time providers share it,
which also removes redundant startup builds. ArizeLogger overrides _init_tracing and
still builds its own, so it keeps one extra build
Refs LIT-5437
Resync registry misses with single-row DB fetches (guardrail by unique
name, agent by unique id or name, model by name then id) instead of
full-table loads, and bound them with a global budget of 20 resyncs per
5s window per registry that fails closed without negative-caching the
key.
Access group create/update now trust the reconcile outcome snapshot
captured under the reload lock instead of a post-lock router read, so a
concurrent reconcile can no longer surface a false degraded-serving 500.
Router.upsert_deployment restores the previously served deployment when
the replacement add fails under ignore_invalid_deployments, so a bad
update no longer silently drops a healthy deployment from serving.
* feat(proxy): add /team/daily/activity/aggregated and use it in the Usage UI
The Team Usage tab drained row-paginated pages client side, which painted
newest days first and drew duplicate bars when a day's rows straddled a
page boundary. Serve the whole range in one SQL GROUPING SETS pass instead:
the aggregated query gains optional per-entity rollup levels (entity as the
most-significant GROUPING bit) so breakdown.entities keeps per-team spend,
aliases, and per-key splits. The endpoint shares the paginated route's
scoping via _resolve_team_daily_activity_scope, accepts the timezone the UI
already sends, and the api_key filter now takes a list so non-admin member
scoping works. The dashboard tries the aggregated endpoint first and falls
back to page draining on failure.
* chore: ratchet B008 budget down by the endpoint converted to Annotated Depends
* chore: keep mutable-ok suppressions on their annotation lines after formatting
* fix(proxy): reject malformed or over-wide ranges on team aggregated activity
The aggregated endpoint has no pagination bounding its work, so validate
start_date and end_date as real dates and cap the span at 400 days. The
dashboard's widest presets fit well inside the cap, and an over-cap range
falls back to the paginated flow. Also trim implementation comments that
restated the grouping-set code.
* fix(proxy): parse aggregated range bounds as UTC to satisfy DTZ007
* refactor(proxy): fetch entity rollups with a companion query instead of extending the main one
The entity-as-extra-GROUPING-bit approach made the bitmask layout
mode-dependent: the same constant meant (date) for normal rows and
(date, entity) for entity rows, disambiguated by masking. Split it out:
the shared WHERE builder feeds both the untouched main query and a small
per-entity rollup query keyed by GROUPING(api_key), run concurrently, and
a fold writes breakdown.entities onto the built response.
* refactor(proxy): share the daily-activity error and entity-metadata shapes
The type-discipline ceiling for LIT002 ratcheted down on staging, so the new
aggregated endpoint had to stop hand-rolling collections the codebase already
builds elsewhere. Funnel the `{"error": ...}` detail through one construction
site, turn the range validator into an error-as-value, reuse a single
entity-metadata lookup for both breakdown paths, and widen
get_api_key_metadata to any set so callers stop copying frozensets.
A transient DB error during the spend log flush dropped that batch's guardrail
metrics and usage unit rows for good. Retry only the rows that failed, up to 3
times with 1s/2s/4s backoff, mirroring the daily spend writer, and inject the
sleep so tests stay fast. Lowers the lint budgets the refactor freed up
Replace Any-typed seams with real types in files carrying the highest
remaining reportAny/reportExplicitAny density after #34745: the proxy
server and its utils, the router, the streaming handler and chunk builder,
litellm_logging, the redis cache, the MCP db/tool-registry/spend-writer
layer, the anthropic pass-through adapters and guardrail translation, the
lasso and presidio guardrail hooks, the azure_ai agents handler, the
management endpoints (keys, users, ui_sso, model access groups, config
override, MCP, projects), the responses MCP handlers, response polling
background streaming, and the containers and vector stores mains
No casts, no type: ignore, no noqa, no new suppressions, and no Any
annotations that were not already at base. Whole-tree basedpyright:
reportAny 14,610 -> 14,009, reportExplicitAny 5,100 -> 4,780, total
144,743 -> 143,471, with no rule increasing repo-wide or in any file.
Budgets ratcheted: basedpyright -1,272 across 48 rules, ruff-strict -85,
type-discipline -37
Types 28 files with Protocols, TypedDicts, and Pydantic validation in place
of Any, cutting basedpyright reportAny by 974 and reportExplicitAny by 261
(1411 errors total across 48 rules), and ratchets the basedpyright, ruff
strict, and type discipline budgets down to match
