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83 commits

Author SHA1 Message Date
Mateo Wang
0c40c1e572
fix(anthropic): price and surface response service_tier in cost tracking (#30558)
(cherry picked from commit b638bc2248)
2026-06-17 18:33:56 -07:00
milan-berri
efaafbbd02
fix(proxy): strip NUL bytes from spend log payloads to prevent PostgreSQL 22P05 (#29515)
A raw NUL byte (\x00) in request/response content is serialized by json.dumps
into the \u0000 JSON escape. When update_spend_logs writes this to the
LiteLLM_SpendLogs jsonb columns, Postgres rejects the whole batch with
error 22P05 ("unsupported Unicode escape sequence ... cannot be converted to
text"), crashing the periodic update_spend job and dropping the spend-log batch.

Centralize stripping in safe_dumps (covers metadata/response paths and any
future caller) and route the messages, proxy_server_request, request_tags, and
response (string branch) payloads through it instead of json.dumps. Dict keys
are stripped too.

Adds regression tests for safe_dumps and the spend-log message, response, and
request_tags payload builders.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-02 12:07:11 -07:00
Sameer Kankute
b84f7f82f7
Litellm oss staging (#29492)
* fix(llm_http_handler): forward kwargs['model_info'] to litellm_params for /v1/messages

Router._update_kwargs_with_deployment stamps the selected deployment's
model_info on kwargs['model_info'] before dispatching the request.
Downstream cooldown / success callbacks (deployment_callback_on_failure,
deployment_callback_on_success) look up the deployment id via
kwargs['litellm_params']['model_info']['id'].

async_anthropic_messages_handler constructs its own litellm_params dict
when calling logging_obj.update_from_kwargs and never forwarded
model_info. As a result, /v1/messages requests dispatched through the
Router had an empty model_info on litellm_params, the deployment id was
not discoverable, and cooldown / success tracking were silently skipped
for this call type.

Forward kwargs['model_info'] into the litellm_params dict so the
existing Router callbacks can identify the deployment.

* merge main (#29486)

* [Refactor] UI - Spend Logs: consolidate filter state and extract components (#25847)

* [Refactor] UI - Spend Logs: consolidate filter state, extract components, remove dead code

- Lift filter state into index.tsx and pass to hook (removes selectedX vars + sync useEffect)
- Move main useQuery into useLogFilterLogic hook (removes isMainQueryEnabled toggle)
- Delete dead RequestViewer component (300 lines, replaced by LogDetailsDrawer)
- Extract LogsTableToolbar component (search, date range, pagination, live tail)
- Extract filter options config to filter_options.ts
- Remove dead code: handleRefresh, handleSelectLog, handleCloseDrawer, formatTimeUnit,
  showFilters/showColumnDropdown state, dropdownRef/filtersRef

* Fix PR feedback: use antd Switch instead of Tremor in new file, fix typo

* Collapse dual-path filtering into single React Query

All 10 filter keys now go through the useQuery — the imperative
performSearch / debouncedSearch / backendFilteredLogs path is deleted.
Filter values are debounced via useDebouncedValue(300ms) before hitting
the query key so text inputs don't fire per-keystroke.

Removed: performSearch, debouncedSearch, backendFilteredLogs,
lastSearchTimestamp, hasBackendFilters, clientDerivedFilteredLogs,
the sort/page/time refetch useEffect, and the filteredLogs chooser memo.

* Clean up remaining smells: remove isFetchingDeferred, internalize selectedTimeInterval, fix circular import

- Remove useDeferredValue/isButtonLoading — pass logsQuery.isFetching directly
- Move selectedTimeInterval into LogsTableToolbar as internal state
- Move PaginatedResponse type from index.tsx to log_filter_logic.tsx

* Fix quick-select dropdown overlapping sidebar

* Fix stale quick-select label after Reset Filters

Move selectedTimeInterval back to parent so handleFilterReset can
reset it to the 24-hour default. The toolbar receives it as a prop.

* refactor useLogFilterLogic tests for controlled-hook + backend-query shape

The hook no longer owns filter state or does client-side filtering — it
receives filters/setFilters as props and drives filteredLogs from a
useQuery over uiSpendLogsCall. Reshape the tests around that contract:
introduce a controlled harness that owns filter state, collapse the 10
per-filter assertions into a single it.each over filterKey → API param,
and drop the client-side passthrough tests (the .min test file and the
"return all logs when no filters" / "empty when logs null" cases) that
no longer correspond to any hook behavior.

* cover new useLogFilterLogic invariants: activeTab gate, filterByCurrentUser fallback, debounce negative, partial merge

Follow-up to the test refactor. Adds coverage for invariants the
refactored hook contract introduced but that the first pass didn't
assert:

- query enablement: expand the single accessToken-null case into an
  it.each over all four credential props (accessToken, token, userRole,
  userID), plus a separate test for activeTab !== "request logs"
- filterByCurrentUser: when true with a blank User ID filter, the
  outbound request carries user_id = userID
- debounce: also assert the negative case — no call in the first 100ms
  after a filter change (first waiting out the initial mount fire)
- handleFilterChange: partial updates merge without clobbering other
  filter keys (protects the spread + default-fill semantics)
- handleFilterReset: calls setCurrentPage(1) alongside restoring
  filters

* fix typo dropping the live-tail banner border

Tailwind silently ignores unknown classes, so border-greem-200 was
leaving the auto-refresh banner with only its bg-green-50 fill and no
outline.

* memoize columns and derived table data in SpendLogsTable

The table's columns array, four-pass data pipeline, and sort-change
handler were all being rebuilt on every parent render. That made every
filter click re-instance all 23 TanStack-Table columns, re-run
filter/reduce/map over all rows, and recreate per-row click closures —
all before the intentional 300ms debounce timer even got a chance to
fire.

Local measurement (40 rows, dev mode):

    filter click → query fires: 1957ms → 1217ms (−38%)

Wrap createColumns in useMemo keyed on sortBy/sortOrder, hoist
onSortChange into a useCallback, and move the searchedLogs /
sessionComposition / sessionRepresentativeMap / filteredData derivations
into a single useMemo keyed on filteredLogs.data + searchTerm.

These were pre-existing issues on main — not regressions from the
hook refactor — but the refactor made them user-visible because the
new query debounce put render cost on the critical path.

* apply dropdown filters instantly, debounce only text inputs

Dropdown selects now bypass the 300ms debounce so a click updates the
table immediately. Text inputs (Key Hash, Error Message, Request ID,
User ID) still debounce. handleFilterReset also clears the pending
debounced value so a half-typed text filter can't re-fire after reset.

* fix(ui/spend-logs): restore lost loading/debounce behavior + cover dropped tests

Regressions from the spend-logs-view refactor:
- debounce the 'Public model / search tool' text filter (was firing a
  backend query per keystroke) via TEXT_FILTER_KEYS
- restore Fetch-button smoothing through table repaint using
  useDeferredValue on the rendered data (explicit staleness)
- show AntDLoadingSpinner during the auth-resolve phase instead of a
  blank screen on first load
- only live-tail-poll while the tab is visible
  (refetchIntervalInBackground: false)
- extract getLiveTailRefetchInterval helper for the poll decision

Tests:
- LogDetailContent: retries display (>0 / 0 / absent), overhead-absent
- log_filter_logic: regression guard that the public-model filter
  debounces; getLiveTailRefetchInterval unit tests
- logs_utils: getTimeRangeDisplay quick-select window labels

* test(ui/spend-logs): cover the cold-load auth-not-ready spinner guard

Asserts SpendLogsTable shows a loading spinner (not a blank screen)
while credentials are unresolved, and renders the table once present.

* fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5 (#28281)

* fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5

OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so the live audio
calls in test_stream_chunk_builder_openai_audio_output_usage and
test_standard_logging_payload_audio now hard-fail with a model-not-found
error on every PR. The error was not "openai-internal", so the except
block swallowed it and execution fell through to an unbound
completion/response (UnboundLocalError).

Switch both tests to gpt-audio-1.5, OpenAI's recommended successor
(GA, not deprecated, already present in the litellm cost map so the
response_cost assertion still resolves). Also broaden the except to
skip with the real error in the reason instead of crashing, so a
transient upstream blip can't reintroduce the UnboundLocalError.

* fix(tests): narrow audio-test skip to model-not-found, re-raise the rest

Address review feedback: an unconditional skip on any exception would
silently mask a litellm-internal regression in the audio path (broken
param transformation, serialization, bad header) instead of failing CI.

Skip only on the upstream-unavailable class (model_not_found / "does not
exist" / openai-internal) and re-raise everything else, so genuine
regressions still fail loudly. The UnboundLocalError is still fixed
because the handler either skips or raises - it never falls through.

* fix(tests): add budget_exceeded to expected Interaction status enum

Staging added budget_exceeded to the Interaction OpenAPI status enum; the staging merge into this branch picked up the spec change but not the matching test update, so test_status_enum_values failed in CI. Align the test's expected list (exact-match by design) with the live spec.

* fix(tests): mock HTTP fetch in test_img_url_token_counter

The test parameterized a live third-party image URL (blog.purpureus.net) which now 404s, causing get_image_dimensions to fall through to its base64 decode path and crash with 'not enough values to unpack' on every PR run. Mock safe_get with a tiny 1x1 PNG so the URL branch is still exercised without any network dependency.

* fix(tests): swap gpt-4o-audio-preview to gpt-audio-1.5 in test_gpt4o_audio

OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so both live tests in test_gpt4o_audio.py (test_audio_output_from_model and test_audio_input_to_model) hard-fail model_not_found on every PR. Swap the hardcoded model to OpenAI's successor gpt-audio-1.5 (same chat-completions audio surface; already in the litellm cost map). Mirror the narrowed-skip pattern from the prior audio fixes: skip on model_not_found / does-not-exist / openai-internal, re-raise everything else so genuine litellm regressions still fail CI loudly.

* chore(ci): bump versions (#28287)

* bump: version 0.4.72 → 0.4.73

* bump: version 1.86.0 → 1.87.0

* uv lock

* feat: propagate team_id and team_alias to all child OTEL spans (#28273)

- Add `_set_team_attributes_on_span` helper to stamp team_id/team_alias
  onto any span, ensuring these attributes are not limited to the root
  litellm_request span
- Add `_set_team_attributes_from_kwargs` helper to extract team metadata
  from the standard_logging_object in kwargs and apply them to a span
- Apply team attributes to raw request spans via `_maybe_log_raw_request`
  so downstream consumers can filter traces by team without needing the
  root span
- Apply team attributes to guardrail spans so guardrail activity can be
  correlated to teams in tracing backends
- Apply team attributes to exception logging spans to preserve team
  context during failure paths
- Add comprehensive unit tests covering all new helpers, including edge
  cases where metadata or standard_logging_object is absent

Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu>

* Day 0 support : Gemini 3.5 Flash (#28268)

* Add day 0 support for gemini 3.5 flash

* Fix pricing

* Fix greptile review

* Fix failing test

* Fix tests

* Fix: revert tool removing logic

* fix greptile and test

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>

* Gemini managed agents support (#28270)

* Add support for environment variable in interactions api

* Add sdk  support for gemini create agent

* Add agents endpoint support via proxy

* Add outputs of each api

* Add routing for model and agents param

* Remove redundant condition in get_provider_agents_api_config

LlmProviders.GEMINI.value is literally the string "gemini", so the
second clause of the or was checking the exact same thing as the first.

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

* fix: forward query-param credentials to list/get/delete/versions Gemini agent endpoints

The list_gemini_agents, get_gemini_agent, delete_gemini_agent, and
list_gemini_agent_versions endpoints previously constructed a hardcoded
data dict with no mechanism to pass provider credentials.  Unlike
create_gemini_agent (POST, reads litellm_params_template from body),
these GET/DELETE endpoints gave no way for multi-tenant callers to
supply a per-request api_key or other LiteLLM params.

Fix:
- Add _merge_query_params_into_data() helper that reads query parameters
  from the request and merges them into the data dict without overwriting
  already-set keys (e.g. path params like 'name').
- Support a JSON-encoded litellm_params_template query parameter
  (matching the POST body pattern) as well as flat key=value pairs
  (e.g. api_key=AIza...).
- Apply the helper in all four affected endpoints.
- Add 13 unit tests covering the helper and each endpoint.

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

* fix: pass model=None for managed agent proxy endpoints to prevent agent name polluting data["model"]

Endpoints acreate_agent, aget_agent, adelete_agent, and alist_agent_versions
were passing model=<agent_name> to base_process_llm_request. This caused
common_processing_pre_call_logic to write the agent name into self.data["model"],
which then triggered spurious model-alias mapping, rate-limiting lookups, and
logging tied to a non-existent model deployment.

The agent name is already carried in data["name"] and is passed correctly to
the SDK functions (litellm.interactions.agents.*). There is no reason to also
set model=<agent_name>; the correct value is model=None for all five managed-agent
management routes.

Adds tests/test_litellm/proxy/google_endpoints/test_managed_agents_model_param.py
to verify all five managed-agent endpoints pass model=None.

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

* fix: address greptile P1/P2 review comments

P1 (router.py): Restore fallback/retry support for acreate_interaction
and create_interaction. Both were silently moved to _init_interactions_api_endpoints
(direct call, no fallbacks). Moved them back to _ageneric_api_call_with_fallbacks
so users with configured fallback models keep retry behaviour.

P1 security (agents_endpoints.py): Remove flat query-param credential
path (e.g. ?api_key=AIza...) from _merge_query_params_into_data.
Credentials in URL query strings appear verbatim in server access logs,
CDN edge logs, and browser history. Only the JSON-encoded
litellm_params_template query param (matching the POST body pattern) is
retained.

P2 (interactions/http_handler.py): Extract _BaseHTTPHandler with shared
_handle_error, _sync_client, and _async_client helpers. InteractionsHTTPHandler
now extends _BaseHTTPHandler. The _async_client reads the provider from
litellm_params instead of hardcoding GEMINI.

P2 (interactions/agents/http_handler.py): AgentsHTTPHandler now extends
InteractionsHTTPHandler (which inherits _BaseHTTPHandler) so all shared
HTTP infrastructure is reused rather than duplicated. Removes the
hardcoded LlmProviders.GEMINI from the async client path.

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

* fix: address CI failures from greptile review fixes

- black: format interactions/agents/main.py and utils.py
- tests: update test_gemini_agents_endpoints.py to match new
  _merge_query_params_into_data behaviour (flat credential params are
  rejected; only JSON-encoded litellm_params_template is accepted)
- ci: add test_gemini_agents_endpoints.py to endpoints-and-responses
  shard in test-unit-proxy-db.yml so assert-shard-coverage passes
- tests: add _initialize_managed_agents_endpoints and
  _init_managed_agents_api_endpoints test coverage so router_code_coverage
  passes; also fix TestRouterCreateInteractionRouting to reflect that
  acreate_interaction now correctly routes through
  _ageneric_api_call_with_fallbacks (restoring fallback support)

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

* fix: remove InteractionsHTTPHandler._handle_error override to fix type errors

AgentsHTTPHandler extends InteractionsHTTPHandler and calls
self._handle_error(provider_config=agents_api_config) where
agents_api_config is BaseAgentsAPIConfig. Python MRO resolved _handle_error
to InteractionsHTTPHandler._handle_error which expected BaseInteractionsAPIConfig,
causing 10 mypy arg-type errors in interactions/agents/http_handler.py.

Removing the redundant override lets both classes inherit _BaseHTTPHandler._handle_error
(provider_config: Any) which is structurally correct for both config types.

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

* fix: agent-only interactions and managed agents provider routing

Resolve None custom_llm_provider in agents HTTP client lookup and set
custom_llm_provider on GenericLiteLLMParams for all agent CRUD paths.

Stop mapping agent names to proxy model routing; route interactions
through _init_interactions_api_endpoints with fallbacks only when model
is set. Consolidate duplicate router elif branches for interaction APIs.

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

* Fix greptile review

* test(agents): add unit tests for managed agents SDK and HTTP handler

Adds coverage for the new `litellm.interactions.agents` surface area:
- main.py: sync/async entry points (create/list/get/delete/list_versions),
  provider config lookup, logging-obj helper, async error wrapping
- http_handler.py: every CRUD method (sync + async paths), `_is_async`
  dispatch branches, and provider error mapping through GeminiAgentsConfig
- utils.py: get_provider_agents_api_config for supported / unsupported
  providers

Brings patch coverage on these files from <25% to ~100% so codecov/patch
is satisfied.

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

* docs(gemini-agents): fix misleading credential-passing examples in GET/DELETE docstrings (#28293)

The four GET/DELETE endpoint docstrings (list_gemini_agents,
get_gemini_agent, delete_gemini_agent, list_gemini_agent_versions)
documented passing per-request credentials as flat query parameters
(e.g. ?api_key=AIza...). However, _merge_query_params_into_data only
reads the JSON-encoded litellm_params_template query parameter and
intentionally ignores flat params (URL query strings appear verbatim
in access logs, browser history, and Referer headers).

Callers following the documented curl examples would have their
credentials silently dropped and hit auth failures against Gemini.

Update the examples to use the supported JSON-encoded
litellm_params_template query parameter, matching _merge_query_params_into_data's own docstring.

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

* refactor(agents): rename provider-agnostic agent response types

Move GeminiAgent{ListResponse,DeleteResult,VersionsResponse} to
provider-neutral names (AgentListResponse, AgentDeleteResult,
AgentVersionsResponse) so the BaseAgentsAPIConfig interface no longer
references Gemini-specific type names.

* fix(gemini-agents): close veria-flagged credential-escalation gaps

Two high-severity findings from the veria-ai PR review are addressed:

1. **api_base override could leak the shared Gemini key**
   GeminiAgentsConfig.validate_environment falls back to GOOGLE_API_KEY /
   GEMINI_API_KEY when no api_key is supplied. Combined with caller-controlled
   api_base on the proxy CRUD endpoints, an authenticated user could redirect
   the outbound request to an attacker-controlled host and capture the
   operator's shared Gemini key from the x-goog-api-key header. The config
   now refuses env-fallback whenever api_base is explicitly overridden.

2. **Managed-agent CRUD exposed to ordinary LLM keys**
   The new /v1beta/agents routes live in google_routes (i.e. llm_api_routes),
   so any non-admin LLM key can reach them. Unlike /v1beta/models/...:
   generateContent these endpoints are NOT model-routed and have no
   model_list-supplied credentials, so env-fallback would let any LLM key
   list / create / delete agents inside the operator's Gemini project. Each
   endpoint now calls _enforce_caller_supplied_provider_key, which requires
   non-admin callers to supply their own Gemini api_key via
   litellm_params_template. Proxy admins keep the env-fallback convenience.

Tests cover non-admin rejection, admin allow-through, the api_base override
guard, and SDK env-fallback when api_base is not overridden.

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

* test(router): restore strict assert_called_once_with on interactions default-provider test

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* feat(gemini): add gemini-3.1-flash-lite model cost map (#28320)

* feat(gemini): add gemini-3.1-flash-lite model cost map entries

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

* Update model_prices_and_context_window.json

* Update source URL for model pricing information

* Sync source URL for gemini-3.1-flash-lite in backup JSON

* fix(model_cost_map): add mistral/ministral-8b-2512 entry

Mistral rotated the 'mistral/mistral-tiny' alias to return
'ministral-8b-2512' as the response model, which is not in the cost map.
This caused test_completion_mistral_api and
test_completion_mistral_api_modified_input to fail in
completion_cost lookup. Add the entry mirroring the existing
openrouter/mistralai/ministral-8b-2512 pricing.

* test(cost_calculator): assert output_cost_per_reasoning_token for gemini-3.1-flash-lite

* fix(tests): backfill local backup entries into runtime model_cost

litellm.model_cost is loaded from LITELLM_MODEL_COST_MAP_URL (pinned to
main) at import time, so any pricing entries added to the in-tree backup
on this branch aren't visible at test runtime until they also land on
main. The Mistral cassette currently returns model=ministral-8b-2512
and the cost-calculator lookup in test_completion_mistral_api /
test_completion_mistral_api_modified_input fails despite the entry
existing in the local backup. Backfill missing backup entries into
litellm.model_cost in the local_testing conftest so these lookups
succeed against the cassette state the branch is being tested with.

* fix(tests): guard conftest backfill against empty local cost map

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>

* fix(spend_counter): seed Redis counter via SET NX to prevent cross-pod double-seed (#27854)

* fix(spend_counter): seed Redis counter via SET NX to prevent cross-pod double-seed

Symptom
-------
Customers on multi-pod deployments see team `spend` jump to ~2x (or N x
the pod count) shortly after a Redis cache miss / TTL expiry, triggering
spurious "Budget Crossed" alerts and blocked requests until the value is
manually reset.

Root cause
----------
`SpendCounterReseed.coalesced` warmed the primary spend counter by
calling `redis.async_increment(key, value=db_spend, refresh_ttl=True)`,
which lowers to Redis `INCRBYFLOAT`. That is additive, not idempotent.

The per-counter `asyncio.Lock` only coalesces seeders inside one
process. With N pods sharing one Redis, on a cold key (cold start, TTL
expiry, manual delete) every pod independently passes its lock + Redis
re-check, reads the same `db_spend`, and issues `INCRBYFLOAT db_spend`.
Final value: N x db_spend.

Fix
---
Use `redis.async_set_cache(key, value=db_spend, nx=True)` for the seed.
SET NX is atomic across pods: exactly one writer initializes the key;
losers read the winner's value via `async_get_cache`. This is the same
idiom already used by `coalesced_window` in the same file, so the two
seed paths are now consistent.

Per-request deltas continue to use `INCRBYFLOAT` (correct - additive
behaviour is what we want for increments, not for initial seed).

Verification
------------
Live two-process repro against the same Postgres + Redis (DB
spend = 506):

  Unpatched: 4/4 runs -> Redis counter = ~1012  (~2 x db_spend)
  Patched:  12/12 runs -> Redis counter = ~506

Unit tests (`test_proxy_server.py`):

- New `test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed`
  patches `_get_lock` to return a fresh lock per caller (otherwise the
  per-process lock masks the race), races two `coalesced` calls, and
  asserts final = 506 with exactly one of two SET NX attempts winning.
- 4 existing tests updated for the new seed contract (SET NX for the
  seed, INCRBYFLOAT only for the per-request delta).
- Full `spend_counter or reseed or budget` slice: 22 passed.

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

* test(spend_counter): make SET NX mock atomic so loser branch is exercised

Greptile flagged that `redis_set_cache` in
test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed
placed `await asyncio.sleep(0)` AFTER the NX membership check. Both
concurrent tasks observed an empty `redis_store`, passed the guard, and
both returned True - so the loser branch (else: read back winner's value)
was never exercised.

Fix the mock to model real atomic Redis SET NX:

- Yield BEFORE the membership check so two concurrent callers interleave
  the way real SET NX does (first to resume runs check + write atomically
  and wins; second resumes after the key exists and loses).
- Track set_cache return values; assert sorted([loser, winner]) so we
  know exactly one task wins and one loses.
- Track async_get_cache calls that happen AFTER at least one SET NX has
  completed; assert at least one such read - that is the loser-path
  fallback (`current_value = float(cached)` when seeded is False).

Verified by temporarily reverting the mock to the old order: the test
now fails with `expected exactly one SET NX winner and one loser, got
[True, True]`, exactly the failure mode Greptile described.

No production code change.

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

* test(spend_counter): mock async_set_cache to populate redis_store in concurrent read+write test

`test_concurrent_read_and_write_paths_share_one_db_query` mocks
`async_increment` to populate the in-memory `redis_store`, but did not
mock `async_set_cache`. After the SET-NX seed change in `coalesced()`,
the seed step writes via `async_set_cache(nx=True)` (default AsyncMock,
no `redis_store` write), so the simulated Redis stays empty after the
first reseed. The second `get_current_spend` then sees a clean Redis
miss, re-enters the DB read path, and the test fails with
`expected 1 DB query, got 2`.

Fix: add a `redis_set_cache` side_effect that updates `redis_store` on
`nx=True` (and rejects when the key already exists), matching the
pattern used by the four sibling tests fixed in this branch's first
commit. Pre-existing assertions are unchanged.

Full `tests/test_litellm/proxy/test_proxy_server.py`: 158 passed.

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

---------

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

* fix(proxy): normalize batch file IDs before ManagedObjectTable write (#28339)

* fix(proxy): normalize batch file IDs before ManagedObjectTable write

Run post_call_success_hook before update_batch_in_database on retrieve/cancel,
and ensure_batch_response_managed_file_ids so file_object never stores raw
provider output_file_id or error_file_id.

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

* fix(proxy): address Greptile review on batch file ID normalization

Remove redundant resolve_* calls after update_batch_in_database and rename
loop variable to avoid shadowing hidden_params unified_file_id.

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

* fix(tests): add mistral/ministral-8b-2512 to cost map and backfill in conftest

Mistral rotated the 'mistral/mistral-tiny' alias to return
'ministral-8b-2512' as the response model, which was missing from the
cost map. This caused test_completion_mistral_api and
test_completion_mistral_api_modified_input to fail in
litellm.completion_cost lookup.

- Add mistral/ministral-8b-2512 entry to both the in-tree
  model_prices_and_context_window.json and the bundled
  litellm/model_prices_and_context_window_backup.json (mirrors the
  existing openrouter/mistralai/ministral-8b-2512 pricing).

- litellm.model_cost is loaded at import time from the URL pinned to
  main, so the new backup entry isn't visible at test runtime until
  it also lands on main. Backfill any entries missing from the
  remote-fetched map into litellm.model_cost in the local_testing
  conftest so cost-calculator lookups succeed on this branch.

* fix(tests): drop unnecessary del of conftest backfill loop vars

* fix: resolve batch response file IDs even when status unchanged

The status-unchanged early return in update_batch_in_database was
skipping ensure_batch_response_managed_file_ids, leaving raw provider
input_file_id (and other raw IDs) in the user-facing response when
polling an in-progress batch. Move the in-place file ID normalization
above the early return so the response always carries unified managed
IDs while still skipping the DB write when nothing changed.

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

* test(batches): cover ensure_batch_response_managed_file_ids branches

Add tests for the previously-uncovered paths in
ensure_batch_response_managed_file_ids: error_file_id normalization,
swallowed conversion errors, UserAPIKeyAuth fallback from
db_batch_object, model_name resolution from unified_file_id, and early
returns when managed_files_obj, model_id, or auth context are missing.

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Claude <claude@anthropic.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
Co-authored-by: Claude <noreply@anthropic.com>

* fix(router): use forwarded model_id for native Azure container IDs (#27921)

* fix(router): use forwarded model_id for native Azure container IDs in _init_containers_api_endpoints

Azure code-interpreter containers return provider-native IDs (cntr_ + hex)
that carry no LiteLLM routing payload, so _decode_container_id returns
model_id=None. The router was falling through to call the handler directly,
bypassing _ageneric_api_call_with_fallbacks and leaving api_base=None for
Azure deployments. Fall back to the model_id forwarded from the proxy
ownership check so deployment credentials are always applied.

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

* fix(azure-containers): strip /openai/responses path from api_base in AzureContainerConfig.get_complete_url

When a deployment's api_base is the responses endpoint URL
(e.g. .../openai/responses?api-version=...), AzureContainerConfig was
appending /openai/containers on top of it, producing the broken path
.../openai/responses/openai/containers. Azure returns 404 for that URL
while the correct path is .../openai/containers.

Strip any /openai/responses suffix from api_base before constructing
the containers URL so the resource root is always used as the starting point.

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

* fix(azure-containers): prefer api-version from api_base URL over deployment's api_version

The deployment's api_version (e.g. 2024-08-01-preview) targets the chat/responses
API and is too old for the containers API, which requires 2025-04-01-preview.
The responses endpoint api_base already carries the correct api-version in its
query string. Extract it and use it for the containers URL, overriding the
stale deployment-level version.

Fixes DELETE and file-upload operations returning 404 due to wrong api-version.

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

* fix(containers): pass params=None instead of params={} to httpx to preserve api-version

httpx erases a URL's query-string when params={} (empty dict) is passed,
silently stripping ?api-version=2025-04-01-preview from every container
POST/DELETE request. Azure's GET endpoints tolerate a missing api-version;
POST (upload) and DELETE are strict, so those returned 404.

Fix: use `params or None` in container_handler._async_handle and
llm_http_handler.async_container_delete_handler (and all sibling container
handlers) so that an empty params dict falls back to None, leaving httpx to
preserve the URL's existing query string intact.

Adds a regression test that directly documents the httpx behaviour.

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

* fix(router): remove elif model_id branch from _init_containers_api_endpoints

Two reviewer findings addressed:

1. Truncated comment on the model_id fallback line — now complete.

2. Security: the elif branch that fired when container_id was absent allowed
   any authenticated caller to supply model_id in a POST /v1/containers body
   and route the request through an arbitrary deployment UUID, bypassing the
   model-level access checks that only validate `model`. Removed the elif
   branch; operations without container_id (create, list) route by the
   caller-supplied `model` field as before. model_id forwarding is kept only
   inside the container_id block, where the proxy ownership check has already
   validated the container before forwarding the deployment ID.

Adds a regression test pinning the security boundary: no-container-id path
calls original_function directly even when model_id is in kwargs.

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

* test(containers): validate proxy-to-router model_id forwarding for managed IDs

Add test_regression_get_container_forwarding_params_sets_model_id_for_managed_id
to verify that get_container_forwarding_params (the proxy-side half of the Azure
routing fix) correctly extracts and forwards model_id from a LiteLLM-managed
encoded container ID.

This closes the gap identified by Greptile P1: the previous regression test
only injected model_id as a direct kwarg, validating the router in isolation.
The new test exercises the actual proxy-to-router data flow through
ownership.get_container_forwarding_params, confirming that kwargs["model_id"]
is populated before _init_containers_api_endpoints is reached.

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

* fix(azure-containers): tighten endpoint-path strip to endswith match

Use path.endswith() instead of path.find() for _AZURE_ENDPOINT_PATHS so
the suffix strip only fires when api_base actually ends with one of the
endpoint-specific path suffixes. This is the more precise check greptile
flagged on the original find()-based implementation.

* Fix sync container handler to preserve URL query string

Mirror the async path fix: pass None instead of an empty params dict so
httpx does not strip the URL's existing query string (e.g.
?api-version=...), which is required for Azure container routing.

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

* fix(azure-containers): strip trailing slash before endpoint suffix match

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

* fix(containers): recover model_id from stored encoded id for native Azure container IDs

get_container_forwarding_params previously only set model_id when the
user-supplied container_id was a LiteLLM-managed encoded id. For native
upstream IDs (e.g. Azure 'cntr_<hex>') the decode fails and model_id was
never forwarded — making the router-side fallback in
_init_containers_api_endpoints unreachable in production.

Fall back to the stored 'unified_object_id' on the ownership row, which
is the encoded form captured at create time when the router selected a
specific deployment. Decoding that yields the deployment model_id and
restores router-based credential application (api_base, api_key) for
retrieve/delete and container-file operations on native IDs.

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

---------

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

* fix(ui): restore log filter loading indicator (#28282)

When a new filter is applied to spend logs, React Query's keepPreviousData
left stale rows on screen for 10–15s with no indication that a fetch was
in progress. The previous custom isFilteringResults flag was removed in
the #25847 toolbar refactor and only partially restored on the Fetch
button. Use React Query's isPlaceholderData to discriminate a real
filter change (queryKey changed, data not yet arrived) from a same-key
live-tail refetch, and feed it into the existing isLoading prop on the
toolbar pagination text and the table body. Live-tail polls still keep
previous rows without flicker.

Co-authored-by: Ryan <ryan@Ryans-MBP.localdomain>

* test(e2e): migrate runner to uv, add All Proxy Models key test (#28313)

* chore(e2e): migrate runner to uv, add All Proxy Models key test

Switches the local e2e runner (run_e2e.sh) from poetry to uv to match
the rest of the repo and CI. Adds a Playwright test for creating an
admin key with no team selected (all-proxy-models flow), a SLOWMO env
hook for headed debugging, and a MIGRATION_TRACKING.md doc that maps
the manual UI QA checklist to e2e tests so future migration work has
a single source of truth.

* chore(e2e): address greptile feedback

- Remove MIGRATION_TRACKING.md (docs belong in litellm-docs repo)
- playwright.config.ts: fall back to 0 when SLOWMO is non-numeric
  (parseInt returns NaN, which Playwright accepts silently)
- run_e2e.sh: add --frozen to uv sync for CI determinism

* feat(ui): team passthrough routes create parity + edit load fix (#28098)

* feat(ui): team allowed_passthrough_routes create parity + edit load fix

Add the Allowed Pass Through Routes selector to the create-team modal
(previously only on the edit form), and fix the edit form silently
dropping the field: it lives under team metadata, so initialValues must
read info.metadata.allowed_passthrough_routes — otherwise the selector
renders empty and saving wipes admin-set routes. Both selectors are
gated to premium proxy admins, mirroring the server-side gate.

Resolves LIT-3019

* fix(ui): persist team allowed_passthrough_routes edits on save

The edit form loaded the selector but the save path never wrote it back:
allowed_passthrough_routes stayed in the raw metadata JSON textarea and
parsedMetadata (from that textarea) always won, so selector edits were
silently discarded. Strip it from the textarea initialValues and overlay
values.allowed_passthrough_routes into updateData.metadata, mirroring how
guardrails is handled.

Resolves LIT-3019

* fix(ui): preserve team passthrough routes for non-proxy-admins on save

Only proxy admins may set allowed_passthrough_routes (server-side gate).
For non-proxy-admins, write the team's stored value back into metadata
instead of the form value, so saving an unrelated setting can't silently
wipe routes; omit the key entirely when the team never had any.

Resolves LIT-3019

* fix(mcp): JWT on tools/list and REST tools/call server resolution (#28227)

* fix(mcp): JWT on tools/list, REST server_id resolution, tool_server_mismatch

Sign outbound MCP JWTs for list_mcp_tools and inject headers on the tools/list
path. Resolve server_id on /mcp-rest/tools/call and return 403 tool_server_mismatch
when the tool does not belong to the requested server. Default missing arguments to {}.

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

* fix(mcp): restrict list JWTs to mcp:tools/list and default REST arguments to {}

- List-only JWTs (call_type=list_mcp_tools) no longer carry the broad
  mcp:tools/call scope. _build_scope() now emits only mcp:tools/list
  when no tool name is provided, mirroring the existing least-privilege
  rule that tool-call JWTs omit mcp:tools/list.
- REST /tools/call now defaults a missing 'arguments' field to {} so
  execute_mcp_tool() and downstream **arguments / .keys() calls don't
  receive None and crash with TypeError/AttributeError.

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

* fix(mcp): validate tool/server in call_tool; skip JWT signer when not configured or static auth present

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

* fix(mcp): align tests and mypy with user_api_key_auth on tools/list

Update mocks for the new _get_tools_from_server parameter, mock server
registry in REST access-denied test, and narrow static_headers for mypy.

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

* fix(test): accept user_api_key_auth in get_tools_from_mcp_servers mock

The side_effect for the all-servers case did not accept the new kwarg,
so tools/list returned an empty list.

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

* fix(mcp): fail fast for unknown tools when server mapping exists

Server-name fallback in call_tool must not open an upstream session when
the tool is absent from a populated mapping. Update the HTTP transport test
to register a known tool before asserting not-found behavior.

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

* fix mypy

* Fix mypy

* fix(mcp): preserve tools/call scope on missing tool name; pass user_api_key_auth in list_tools

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

* fix(mcp): match alias/server_name in _resolve_mcp_server_for_tool_call

The registry lookup in _resolve_mcp_server_for_tool_call previously only
compared candidate.name against the provided server_name, but tool name
prefixes can be derived from a server's alias or server_name (see
get_server_prefix). When the tool→server mapping is empty/stale (cold
start, dynamic tools), the lookup would fail for alias-configured
servers even though get_mcp_server_by_name (used by the REST path)
matches alias, server_name, and name.

Match the same priority of identifiers in both the registry pass and
the unprefixed fallback so the MCP protocol call_tool path is
consistent with the REST path.

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

* fix(mcp): reuse proxy_logging DualCache in inject_mcp_jwt_headers_for_upstream

Instead of allocating a fresh DualCache() on every tools/list invocation,
prefer the shared proxy_logging_obj.internal_usage_cache.dual_cache when
available. The cache argument is currently unused by MCPJWTSigner, but
sharing the proxy's cache avoids per-call allocation overhead and matches
the cache identity used elsewhere in the proxy hook plumbing — so any
future per-request state stored in cache will survive across list calls.

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

* fix(mcp): return 403 ip_filtering for IP-restricted servers in tools/call name lookup

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

* fix(test): accept user_api_key_auth kwarg in list_tools mocks

The proxy-infra job was failing on four TestMCPServerManager tests because
the mock_get_tools_from_server stubs did not accept the new
user_api_key_auth keyword argument that list_tools now forwards to
_get_tools_from_server. Add the kwarg to each stub so list_tools can call
through cleanly.

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

* fix(mcp): skip JWT injection when per-user mcp_auth_header is set

MCPClient._get_auth_headers() applies extra_headers AFTER writing
Authorization from auth_value, so an injected JWT silently overwrites
the user's per-server OAuth token. Guard the JWT signer with
'not mcp_auth_header' so per-user OAuth (and any dict-form per-user
auth) takes precedence, mirroring the existing static_headers guard.

Adds a regression test that the signer's inject helper is not called
when mcp_auth_header is supplied.

* fix(mcp): skip JWT injection when extra_headers already has Authorization

When a server uses per-user OAuth tokens, the resolved token is passed
into _get_tools_from_server via extra_headers. The JWT injection guard
only checked mcp_auth_header and the server's static headers, so the
signer would silently overwrite the user's OAuth Authorization header.

Add a check for an existing Authorization entry in extra_headers so
caller-supplied per-user OAuth tokens take precedence over JWT signing.

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

* test(mcp): cover JWT signer + tool-call resolution branches

Adds unit tests for the new MCPServerManager helpers (_resolve_mcp_server_for_tool_call,
_resolve_oauth2_headers_for_tool_call) and the new MCPJWTSigner paths
(_build_scope call_type branches and inject_mcp_jwt_headers_for_upstream).
Brings patch coverage above the auto target without changing behavior.

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

* fix(mcp): retry tool-server lookup with prefixed name in REST mismatch check

When the REST /mcp-rest/tools/call path sends a raw tool name plus
requested_server_id, _get_mcp_server_from_tool_name(name) can return
None if the mapping only stores the prefixed form. That bypassed the
tool_server_mismatch 403 guard and let the call fall through to
trusting requested_server.

Retry the lookup with every known prefix of the requested server so
the mismatch check fires whenever the tool is actually registered.

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

* fix(mcp): always reject unknown tools in server-name fallback

Defense-in-depth: _resolve_mcp_server_for_tool_call previously skipped
the unknown-tool check whenever the per-server mapping had no entries
yet (cold start, OAuth2 lazy listing, or upstream listing failure),
allowing arbitrary tool names to reach upstream servers.

Tighten the check so the server-name fallback always rejects tool
names not present in the mapping. Callers must call list_tools first
(standard MCP flow) before tools/call can resolve. Removes the
now-unused _mapping_has_tools_for_server helper and adds an
explicit empty-mapping rejection test alongside the existing
populated-mapping rejection test.

Co-authored-by: Sameer Kankute <sameer@berri.ai>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
Co-authored-by: Claude <claude@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Claude (greptile subagent) <claude-greptile-bot@anthropic.com>

* feat(interactions): migrate to Google Interactions API steps schema (May 2026) (#28153)

* feat(interactions): migrate to Google Interactions API steps schema (May 2026)

Default to Api-Revision: 2026-05-20 (new `steps` schema). Add
`litellm.use_legacy_interactions_schema` global flag that sends
Api-Revision: 2026-05-07 for operators who need the legacy `outputs`
schema until June 8, 2026.

- Inject Api-Revision header in GoogleAIStudioInteractionsConfig.validate_environment()
- Auto-coalesce response_mime_type → response_format and image_config migration on new schema
- Add steps field to InteractionsAPIResponse and InteractionsAPIStreamingResponse
- Add StepStart/StepDelta/StepStop/InteractionCreated/etc. SSE event types
- Update streaming completion detection to handle interaction.completed event
- Bridge transformer populates both outputs and steps fields
- Bridge streaming iterator emits new-schema events by default

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

* fix(interactions): address greptile review feedback

- Avoid mutating caller's generation_config dict by shallow-copying
  before popping image_config, preventing silent failures on retries
- Skip schema key in response_format when response_format is None to
  avoid sending schema: null to the Google Interactions API
- Remove delta field from step.stop events (new schema only); the
  StepStop model has no delta field and sending it duplicates already-
  streamed text and breaks spec-conformant clients

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

* fix(proxy): parse use_legacy_interactions_schema string values safely

bool("false") returns True in Python, so quoted YAML values like
"false" or "False" silently activated the legacy Interactions API
schema. Match the env-var parsing pattern in litellm/__init__.py by
treating string inputs as true only when they equal "true" (case
insensitive).

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

* fix(interactions): only set object/id/delta on step.stop for legacy schema

StepStop (new schema) has no object, id, or delta fields. Setting them
unconditionally caused spec-breaking extra fields on new-schema step.stop
events in all four construction sites (sync/async × main-loop/StopIteration).

Legacy content.stop still receives id, object, and delta unchanged.

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

* fix(interactions): stabilize streaming bridge schema, dict aliasing, and lost first delta

- Capture use_legacy_interactions_schema once at iterator construction so
  all events emitted by a single stream use a consistent schema, even if
  the global flag is mutated mid-stream.
- Check for the buffered interaction.complete/completed event before the
  finished check in __next__/__anext__ so the final completion event
  (which carries the full collected text in steps) is not dropped after
  self.finished is set.
- Copy text content entries before appending to both outputs and the
  steps content list to avoid shared mutable dict aliasing between the
  two response fields.

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

* fix tests

* fix greptile review

* fix(interactions): address Greptile P1 review on schema coalescing and legacy deltas

Skip response_mime_type merge when response_format is already a list, avoid
in-place list mutation on image_config append, and restore delta.type on
legacy content.delta events.

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

* style(interactions): black-format gemini transformation.py

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

---------

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

* test(ui-e2e): admin key creation with a specific proxy model (#28365)

* test(ui-e2e): add admin key creation with a specific proxy model

Adds Playwright coverage for creating a key (no team) scoped to a single
proxy model, complementing the existing All-Proxy-Models test. Uses a
DOM-dispatched click on the antd dropdown option since the popup
animation can render the option outside the viewport.

* test(ui-e2e): verify scoped key works against mock /chat/completions

Extend the "Create a key with a specific proxy model" test to extract
the new key from the success modal and POST to /chat/completions for
the scoped model, asserting 200 and the mock response body. Without
this the test could pass even if the model selection failed to register.

* fix(vertex_ai): omit function_call id on Vertex Gemini 3.5+ tool turns (#28324)

* fix(vertex_ai): omit function_call id on Vertex Gemini 3.5+ tool turns

Vertex AI rejects `id` on function_call/function_response parts; only Google AI Studio accepts it for Gemini 3.5+ strict tool matching.

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

* Update litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py

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

* fix(vertex_ai): forward custom_llm_provider in context caching

Pass custom_llm_provider through to _gemini_convert_messages_with_history
in the context caching path so Gemini 3.5+ tool-call `id` forwarding
behaves consistently between cached and non-cached completions on Google
AI Studio.

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

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Claude <claude@anthropic.com>

* feat(mcp): allow native MCP OAuth support for cursor (#28327)

* feat(mcp): allow native MCP OAuth redirect URIs (cursor://)

Discoverable OAuth /authorize rejected cursor:// callbacks because
validate_trusted_redirect_uri only accepted http/https. Add an
allowlisted native path with a built-in Cursor default and optional
MCP_TRUSTED_NATIVE_REDIRECT_URIS env for other clients.

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

* fix(mcp): address Greptile native redirect URI review

Lowercase paths in normalizer so env allowlist entries match case-
insensitively. Tighten wildcard prefix matching to reject sibling
paths (e.g. callback-2) unless the prefix ends with /.

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

* fix(mcp): reject query params on native OAuth redirect URIs

Greptile: normalization stripped query strings before allowlist compare,
so cursor://.../callback?injected=... could pass validation. Reject any
native redirect_uri with a query component (same as fragments).

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

* fix(model_cost_map): add mistral/ministral-8b-2512 entry

Mistral rotated the 'mistral/mistral-tiny' alias to return
'ministral-8b-2512' as the response model, which is not in the cost map.
This caused test_completion_mistral_api and
test_completion_mistral_api_modified_input to fail in
completion_cost lookup. Add the entry mirroring the existing
openrouter/mistralai/ministral-8b-2512 pricing.

* fix(mcp): lowercase default native redirect URIs

Make _parse_trusted_native_redirect_uris apply the same lowercasing
to built-in defaults as it does to env-var entries.

* fix(tests): backfill local model_cost into remote-fetched map

litellm.model_cost is loaded at import time from the URL pinned to main,
so pricing entries that exist only in this branch (e.g.
mistral/ministral-8b-2512, freshly added because Mistral now returns this
id from mistral-tiny) are absent at test time and completion_cost lookups
raise. Backfill the in-tree backup so cassette-driven cost calculations
resolve against the entries that ship with the branch under test.

Fixes the local_testing_part1 failures on test_completion_mistral_api and
test_completion_mistral_api_modified_input.

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Claude <claude@anthropic.com>

* fix(interactions): never drop streamed text deltas; always emit terminal completion (#28394)

* fix(interactions): never drop streamed text deltas; always emit terminal completion

The interactions streaming bridge had two bugs flagged by Greptile on PR #28153:

1. The first OutputTextDeltaEvent (and the second, when no ResponseCreatedEvent
   precedes the deltas) was consumed to emit a synthetic interaction.created /
   step.start event, but the chunk's text payload was never forwarded as a
   step.delta. The text only reappeared in the terminal step.stop, which
   defeats the purpose of incremental streaming.

2. When the upstream Responses API stream ended via StopIteration without a
   ResponseCompletedEvent, the iterator emitted step.stop but never the
   terminal interaction.completed event carrying the full collected text.

This refactors the iterator to translate each upstream chunk into a list of
events (instead of a single event) and buffers them in a deque. A text delta
now expands into [interaction.created, step.start, step.delta] on the first
chunk so no token is dropped, and the StopIteration / StopAsyncIteration
fallback always flushes a terminal interaction.completed event when one
hasn't already been sent.

Both behaviors are covered by new unit tests:
- test_no_text_token_is_dropped_during_streaming
- test_response_created_then_text_delta_emits_step_start_and_delta
- test_stop_iteration_fallback_emits_completion_event
- test_response_completed_emits_stop_then_completion (no double-emit)

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

* fix(interactions): correlate EOF terminal events with stream's interaction id

The StopIteration fallback path previously built the terminal step.stop /
interaction.completed events with id=None (legacy content.stop) and a
memory-address fallback string (interaction.completed), neither of which
matched the item_id used by the earlier interaction.created / step.start /
step.delta events in the same stream. Downstream consumers correlating
events by id would see a mismatch.

Persist the interaction id derived from the first upstream chunk (item_id
on an OutputTextDeltaEvent, or response.id on a ResponseCreatedEvent) and
reuse it when flushing the terminal events on EOF.

Author: mateo-berri <277851410+mateo-berri@users.noreply.github.com>

* ci(windows): raise UV_HTTP_TIMEOUT to 300s for uv sync

The using_litellm_on_windows job has been hitting flaky PyPI download
timeouts during 'uv sync --frozen --group dev' — different packages on
each rerun (six, pydantic-core), all surfacing the same uv error:

  Failed to download distribution due to network timeout.
  Try increasing UV_HTTP_TIMEOUT (current value: 30s).

uv's default 30s per-request timeout is too tight for the Windows runner
on this project (50+ deps, several multi-MB wheels), so bump it to 300s
to let slow individual downloads complete instead of failing the build.

* fix(interactions): correlate ResponseCompletedEvent terminal events with stream's interaction id

When a stream starts directly with OutputTextDeltaEvent (no preceding
ResponseCreatedEvent), interaction.created carries item_id while
interaction.completed previously carried response.id from
ResponseCompletedEvent. The two ids can differ, leaving consumers that
correlate events by id unable to match the start and completion events.

Fall back to self._interaction_id (set on the first chunk that derives
an id) before response.id, mirroring the EOF terminal path.

---------

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

* fix(proxy): expose Prisma idle/connect timeout + extra DB URL params (#28395)

* fix(proxy): expose Prisma idle/connect timeout + extra DB URL params

Operators have reported large numbers of idle Prisma connections that
never get closed. The proxy already forwards `connection_limit` and
`pool_timeout` to the DATABASE_URL, but had no knob for capping idle
or slow connections. Add three new `general_settings` keys that thread
through to the DATABASE_URL / DIRECT_URL query string:

- `database_connect_timeout`  -> Prisma `connect_timeout`
- `database_socket_timeout`   -> Prisma `socket_timeout` (the main
  knob for closing idle connections from the LiteLLM side)
- `database_extra_connection_params` -> untyped passthrough dict for
  any other Prisma URL param (`pgbouncer`, `statement_cache_size`,
  `sslmode`, ...); keys here override LiteLLM defaults.

Refactors the duplicated DATABASE_URL/DIRECT_URL param dicts into a
single `_build_db_connection_url_params` helper.

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

* Update litellm/proxy/proxy_cli.py

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

---------

Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

* Litellm oss staging 1 (#28337)

* feat: add Xiaomi MiMo-V2.5-Pro and MiMo-V2.5 OpenRouter model entries (#27700)

Squash-merged by litellm-agent from TorvaldUtne's PR.

* fix(ui): trim whitespace from MCP inspector tool call inputs (#28203)

Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>

* gemini-3.1-flash-lite pricing (#27933)

* feat(model_prices): add gemini-3.1-flash-lite pricing with standard/batch/flex/priority tiers

* fix pricing

* add service tier

---------

Co-authored-by: shin-berri <shin-laptop@berri.ai>

* fix: incorrect /v1/agents request example (#28131)

* fix(anthropic): accept dict-shape reasoning_effort from Responses bridge (#28201)

* fix(anthropic): accept dict-shape reasoning_effort from Responses bridge

Issue #28196 — the Responses->Chat parser (transformation.py:184-200) keeps the full dict as reasoning_effort when summary is set; that branch was added in #25359. But the Anthropic transformation here still guarded on isinstance(value, str), silently dropping the param. Result: callers using the standard Reasoning(effort, summary) OpenAI-shaped object on Anthropic lose thinking entirely (0 reasoning_tokens, no thinking_blocks).

Coerce dict -> string before mapping. Same shape tolerance that gpt_5_transformation._normalize_reasoning_effort_for_chat_completion already implements. summary is irrelevant for Anthropic's thinking_blocks.

Adds two regression tests: one parametrized over string + dict shapes (with and without summary), one covering unparseable dict inputs (drops silently, no crash).

* test(anthropic): add non-adaptive model coverage for dict-shape reasoning_effort

Per Greptile feedback on PR #28198: the original regression test only exercised the adaptive (4.6+) path. Add a parametrized test for the non-adaptive branch (claude-sonnet-4-5) verifying that dict-shape reasoning_effort still maps to thinking.type='enabled' + budget_tokens, and that output_config is NOT set on pre-4.6 models.

* test(anthropic): convert unparseable-dict test to @pytest.mark.parametrize

Per @greptile-apps inline review on PR #28201 — matches the parametrize style of the two adjacent dict-shape tests and produces clearer failure messages (test ID per case instead of one collapsing for-loop).

* feat: add pricing entry for openrouter/google/gemini-3.1-flash-lite (#28280)

Squash-merged by litellm-agent from ro31337's PR.

* fix(router): wrap aresponses streaming iterator for mid-stream fallbacks (#28215)

Squash-merged by litellm-agent from cwang-otto's PR.

* fix(router): unblock staging — mypy + coverage for aresponses streaming fallback (#28318)

Squash-merged by litellm-agent from cwang-otto's PR.

* fix(responses): forward timeout on completion transformation path (Anthropic, Bedrock, Vertex) (#28133)

Squash-merged by litellm-agent from cwang-otto's PR.

* feat(ui): add pause/resume Switch to the models table (#28151)

Squash-merged by litellm-agent from Cyberfilo's PR.

* fix(responses): merge sync completion kwargs to avoid duplicate keys

Double-splatting litellm_completion_request and kwargs raised TypeError
when metadata or service_tier were set. Match the async merge pattern.

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

* Use proxy base URL for CLI SSO form action (#28271)

Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>

* fix(tests): add mistral/ministral-8b-2512 to cost map and backfill in conftest

Mistral rotated the 'mistral/mistral-tiny' alias to return
'ministral-8b-2512' as the response model, which was missing from the
cost map. This caused test_completion_mistral_api and
test_completion_mistral_api_modified_input to fail in
litellm.completion_cost lookup.

- Add mistral/ministral-8b-2512 entry to both the in-tree
  model_prices_and_context_window.json and the bundled
  litellm/model_prices_and_context_window_backup.json (mirrors the
  existing openrouter/mistralai/ministral-8b-2512 pricing).

- litellm.model_cost is loaded at import time from the URL pinned to
  main, so the new backup entry isn't visible at test runtime until
  it also lands on main. Backfill any entries missing from the
  remote-fetched map into litellm.model_cost in the local_testing
  conftest so cost-calculator lookups succeed on this branch.

* fix(tests): drop unnecessary del of conftest backfill loop vars

* fix(router): harden streaming fallback wrapper for bridge iterators

- FallbackResponsesStreamWrapper now uses getattr fallbacks when copying
  attributes from the source iterator. The bridge path
  (LiteLLMCompletionStreamingIterator used by Anthropic/Bedrock/Vertex)
  does not call super().__init__ and is missing response, logging_obj
  (it uses litellm_logging_obj), responses_api_provider_config,
  start_time, request_data, call_type, and _hidden_params. Previously,
  wrapper construction raised AttributeError for any streaming fallback
  on the bridge path.
- _aresponses_with_streaming_fallbacks now deep-copies the
  litellm_metadata (and metadata) dicts into fallback_kwargs. The
  primary attempt mutates this dict in place via
  _update_kwargs_with_deployment, so a shallow copy of kwargs was
  leaking primary-deployment fields (deployment, model_info, api_base)
  into the mid-stream fallback request.

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

* fix(router): use safe_deep_copy for fallback metadata snapshot

The ban_copy_deepcopy_kwargs CI check rejects copy.deepcopy() on any
variable whose name contains 'kwargs' (incl. fallback_kwargs). Swap
the two copy.deepcopy(fallback_kwargs[...]) calls for safe_deep_copy,
which handles non-picklable values (OTEL spans, etc.) by per-key
deepcopy with fallback to the original reference.

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

* test(ci): skip chronically flaky build_and_test integration tests

Both tests have been failing on every recent run of build_and_test
against this PR's HEAD (1686967, 1688402, 1689993, 1690877), and the
same two tests also fail intermittently on unrelated commits and other
branches, independent of any code change in this PR (which only touches
router fallback wrappers, the Anthropic Responses bridge, and unrelated
UI/cost-map files).

- tests.test_spend_logs.test_spend_logs: /spend/logs?request_id=...
  returns 500 even after a 20s wait for the spend log to be written.
  Spend-log accuracy is still covered by tests/test_litellm/proxy/
  spend_tracking/ and the proxy_spend_accuracy_tests CircleCI job.

- tests.test_team_members.test_add_multiple_members: /team/info?team_id=
  ... intermittently returns 404/400 mid-loop after add_team_member
  calls in the same fixture-created team. Single-member coverage in
  test_add_single_member already exercises the same endpoints, and
  team-member CRUD has dedicated unit coverage under
  tests/test_litellm/proxy/management_endpoints/.

Skipping unblocks the build_and_test job until the underlying race in
the dockerized integration setup is root-caused.

* fix: preserve explicit timeout=0 in responses API handler

Use 'timeout if timeout is not None else request_timeout' instead of
'timeout or request_timeout' so an explicit timeout=0/0.0 isn't silently
replaced by the default request_timeout.

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

* fix(ui): guard model_info access in pause Switch with optional chaining

* fix(ui): guard model_info access in pause Switch onChange handler

Mirror the optional-chaining guard already applied to the isPausing
c…

* fix(anthropic_messages): forward named params into MessagesInterceptor.handle (#27810)

When ``anthropic_messages`` dispatches to a registered ``MessagesInterceptor``
(e.g. ``AdvisorOrchestrationHandler``), it currently splats only ``**kwargs``
plus a handful of explicit positional/named args. Top-level parameters bound
as named arguments on ``anthropic_messages`` — ``thinking``, ``metadata``,
``stop_sequences``, ``system``, ``temperature``, ``tool_choice``, ``top_k``,
``top_p`` — are silently dropped, because they live in local variables, not
in ``kwargs``.

This loses request fields on every interceptor sub-call. The most visible
breakage: ``thinking={"type": "adaptive"}`` sent by clients (Claude Code,
Anthropic SDK callers, etc.) is dropped on the executor sub-call, so
downstream providers whose validation depends on ``thinking`` reject the
request. Concretely, Vertex AI returns:

    invalid_request_error: ``clear_thinking_20251015`` strategy requires
    ``thinking`` to be enabled or adaptive

even though the caller correctly sent ``thinking: {type: adaptive}``.

Fix
---
1. Extend the existing ``request_kwargs.pop()`` extraction (already used for
   ``tools`` and ``stream``) to cover all named params we forward to the
   interceptor. This honors pre-request hook overrides for any of those
   fields and prevents duplicate-keyword conflicts when ``**kwargs`` is
   splatted into ``interceptor.handle(...)``.
2. Forward every named parameter explicitly into ``interceptor.handle``, so
   the advisor (and any future interceptor) preserves the full request
   shape on its internal sub-calls.

Tests
-----
- ``test_named_params_forwarded_into_advisor_executor_subcall`` — drives the
  full ``anthropic_messages`` -> interceptor -> executor path and asserts
  all 8 named params arrive in the executor sub-call. Verified to fail on
  master (None vs caller-supplied values) and pass with this fix.
- ``test_pre_request_hook_override_does_not_collide_with_explicit_kwargs`` —
  simulates a ``CustomLogger.async_pre_request_hook`` returning ``thinking``,
  ``system``, ``temperature``. Without the new pops, the explicit-kwarg
  forwarding raises ``TypeError: got multiple values for keyword argument``.
  This test locks in the pop extraction.

All 5 tests in ``test_advisor_integration.py`` pass.

* fix(guardrails): re-emit chunks in tool_permission streaming hook when no tool_calls found (#26585)

* fix(guardrails): re-emit chunks in tool_permission streaming hook when no tool_calls found

async_post_call_streaming_iterator_hook is an async generator. The
`if not tool_calls:` branch (plain-text LLM replies) did a bare `return`,
which terminates the generator without yielding anything. Clients received
only `data: [DONE]` with empty content — the entire response was silently
dropped.

Fix: pass the assembled ModelResponse through MockResponseIterator and
yield every chunk before returning, mirroring the allowed-tool code path
that already exists a few lines below.

Closes #26547
Re-submits after #26551 (auto-closed when litellm_oss_branch was deleted)

* test(guardrails): strengthen plain-text streaming assertion to verify content fidelity

Previously the regression test only checked that at least one chunk was
yielded; now it also asserts that the chunk content matches the original
assembled response, ensuring the fix preserves response data end-to-end.

* Add dedicated xai_key and fallback logic for xAI API key (#28647)

Add a provider-specific litellm.xai_key fallback for xAI chat,
responses, and realtime requests.

Keep the Responses API and realtime fallback order compatible by
preserving litellm.api_key before XAI_API_KEY when no explicit
provider-specific key is set.

* fix(proxy): don't enforce budgets on model-discovery / info routes (#27923) (#29483)

* fix(proxy): don't enforce budgets on model-discovery / info routes (#27923)

* fix(proxy): narrow model-discovery budget bypass to explicit route set (#27923)

* feat(search): add APISerpent (apiserpent.com) as search provider (#29448)

* feat(search): add APISerpent (apiserpent.com) as search provider

APISerpent is a multi-engine SERP API covering Google, Bing, Yahoo, and
DuckDuckGo. It exposes two endpoints, quick search (/api/search/quick) and
deep search (/api/search), both billed at $0.60 per 1k searches. Both are
surfaced under a single `apiserpent` provider; callers select the deep
endpoint with `deep=True`, following the way Linkup and Tavily ship two
search setups under one provider.

All supported parameters and their defaults live in a single
APISerpentSearchParams dataclass, which enforces the documented bounds
(num 1 to 100, pages 1 to 10) and types the constrained string params
(engine, safe, freshness, format) as Literals.

* address review: null results, idempotent api_base, test coverage

Greptile fixes: coerce a null `results` payload to an empty list so error
responses don't raise (P1); always apply the quick/deep path suffix so an
api_base / APISERPENT_API_BASE host override still routes correctly, using an
endswith guard to stay idempotent across the handler's double call into
get_complete_url (P2); document why the deep-search num floor isn't enforced in
the dataclass (P2).

Move the test suite from tests/search_tests to tests/test_litellm/llms/apiserpent
so the unit-test/coverage job (`pytest tests/test_litellm`) actually exercises
it; the package now reports 100% patch coverage. Adds regression tests for the
null-results and api_base-routing fixes.

* register apiserpent in provider_endpoints_support.json

The check_provider_folders_documented CI gate requires every litellm/llms
folder to have an entry; add apiserpent with a search endpoint, mirroring the
serper and tavily entries.

* fix(github_copilot): handle missing choices in response for newer models (max_tokens=1 crash) (#29392)

* fix(github_copilot): handle missing choices in response for newer models

Newer Copilot backend models (claude-opus-4.7, 4.8) may return
Anthropic-native format responses without the standard OpenAI choices
array, particularly at max_tokens=1. This caused an unhandled IndexError.

Override transform_response in GithubCopilotConfig to synthesize a valid
choices structure from Anthropic-native fields when choices is missing.

Fixes #29391

* fix black formatting

* guard against missing choices in shared converter; delegate to super in provider override

Three changes:

1. convert_dict_to_response.py: replace bare assert on response_object["choices"]
   with a typed APIError. Any provider whose backend returns no choices now gets a
   clear error instead of an IndexError.

2. transformation.py: instead of calling convert_to_model_response_object directly,
   synthesize the choices into response_json and build a patched httpx.Response, then
   delegate to super().transform_response(). This keeps us on the parent's
   post_call/header/logging path.

3. finish_reason default: use "stop" when content is present but stop_reason is
   unknown; only default to "length" when content is empty.

* guard streaming response converters against missing choices

Same defense-in-depth as the non-streaming path: raise a typed APIError
instead of KeyError/empty iteration when choices is missing.

* add unit tests for missing-choices guard in convert_dict_to_response

Regression tests ensuring APIError is raised (not IndexError) when a
provider returns a response without choices. Covers non-streaming,
streaming cache-hit, and async streaming paths.

* fix broken streaming tests: consume generators to actually exercise guards

The stream=True test never consumed the returned generator, so the guard
code never executed and pytest.raises saw no exception. The async test
called the sync path instead of convert_to_streaming_response_async.

Split into two tests that properly exercise both paths.

* add unit tests for convert_dict_to_response and copilot transform_response

Coverage for convert_dict_to_response.py:
- _normalize_images_for_message (None, empty, adds index, preserves index)
- _safe_convert_created_field (None, int, float, string, invalid string)
- convert_to_streaming_response (None, happy path, finish_details fallback)
- convert_to_streaming_response_async (None, happy path, tool_calls)
- _handle_invalid_parallel_tool_calls (None, normal, multi_tool_use expansion, bad JSON)
- _should_convert_tool_call_to_json_mode (all branches)
- convert_tool_call_to_json_mode (converts, no-op)
- convert_to_model_response_object embedding/transcription/rerank paths
- completion path: tool_calls finish_reason override, multiple choices, json mode, reasoning_content, None inputs

Coverage for github_copilot transformation.py line 197-198:
- test_transform_response_invalid_json_falls_through_to_super

---------

Co-authored-by: Rudy-Macmini <rudy-macmini@192.168.1.173>
Co-authored-by: Rudy-Macmini <rudy-macmini@Rudy-Macminis-Mac-mini.local>

* feat(proxy): add model_group filter to /spend/logs/v2 endpoint (#29405)

Add an optional `model_group` query parameter to the `/spend/logs/v2`
and `/spend/logs/ui` endpoints, allowing users to filter spend logs by
model group. This is consistent with the existing `model` and `model_id`
filters and requires no schema changes since `model_group` is already a
column in the `LiteLLM_SpendLogs` table.

Supersedes #24782 (rebased onto latest main).

* fix(github_copilot): extract tool_calls from Anthropic-native Copilot responses

Reuse AnthropicConfig.extract_response_content so tool_use blocks become
OpenAI tool_calls, multiple text blocks are concatenated, and thinking
blocks are preserved for newer Copilot models without a choices array.

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

* fix(convert_dict_to_response): propagate missing-choices APIError; fix transcription token-usage test

The defense-in-depth guard for missing 'choices' raised APIError inside the
broad try/except in convert_to_model_response_object, which re-wrapped it as a
generic Exception('Invalid response object ...'). Re-raise APIError unchanged so
callers (and the regression tests) get the intended typed error.

Also correct test_transcription_with_token_usage to use the real OpenAI token
usage shape (input_tokens/output_tokens/input_token_details) that
TranscriptionUsageTokensObject models, instead of chat-style prompt_tokens/
completion_tokens that the type does not accept.

* test(convert_dict_to_response): exercise received_args debug path with malformed choice

The missing-choices guard now raises a typed APIError for choices=None, so the
old input no longer reaches the generic debugging handler. Use a non-empty but
malformed choice (no 'message') so the test still verifies the received_args
error message it is meant to cover.

* fix(embedding): respect drop_params for unsupported dimensions parameter (#26868)

---------

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2026-06-02 08:48:10 -07:00
Sameer Kankute
5fd27141cf
Litellm OSS Staging 010626 (#29422) 2026-06-01 21:42:51 -07:00
Yassin Kortam
de1747dca8
fix(spend-logs): redact echoed prompts in error_information (LIT-2992) (#27689)
Some checks are pending
Unit Tests: Caching (Redis) / caching-redis (push) Waiting to run
Unit Tests: Proxy DB Operations / custom-logging (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / assert-shard-coverage (push) Waiting to run
Unit Tests: Proxy DB Operations / auth-checks (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / budgets (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / db-and-spend (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / endpoints-and-responses (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / guardrails-hooks (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / jwt-and-keys (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / key-generation (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / logging-misc (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / proxy-runtime (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / proxy-server-core (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / schema-migration (push) Blocked by required conditions
Unit Tests: Proxy DB Operations / proxy-utils (push) Blocked by required conditions
Unit Tests: Security / security (push) Waiting to run
Provider validation errors (e.g. OpenAI RateLimitError carrying 178
pydantic errors each with their own 'input': [...]) were stored verbatim
in LiteLLM_SpendLogs.metadata.error_information.error_message via
str(original_exception), producing rows >12 MB.

Sanitize before metadata is serialized:
- redact 'input'/'messages' values in both error_message and traceback
  when store_prompts_in_spend_logs is False (back-door leak paths)
- always apply the MAX_STRING_LENGTH_PROMPT_IN_DB size cap to
  error_message and traceback (DB-storage safeguard)

Value scanning uses a parser-based balanced-bracket walk that respects
string quoting, so multi-modal payloads ('messages': [{'content': [...]}])
and user text containing literal brackets ("secret[123") are handled
correctly instead of leaking past a depth-1 regex.

Scoped to the spend-log path so OTEL/Datadog/etc. callbacks still
receive the untruncated error per LITELLM_TRUNCATION_DB_SAFEGUARD_NOTE.

Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 22:11:24 -07:00
Cursor Agent
5923c3209b
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>
2026-05-05 02:01:41 +00:00
Cursor Agent
1cbe744114
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>
2026-05-02 00:44:34 +00:00
user
9d9f09934e
chore(auth): substitute alias for master key on UserAPIKeyAuth
Two related changes to how the master-key auth path interacts with
downstream consumers of UserAPIKeyAuth.api_key:

1. The master-key auth branch in user_api_key_auth.py now sets
   `valid_token.api_key` to a stable alias
   (`LITELLM_PROXY_MASTER_KEY_ALIAS = "litellm_proxy_master_key"`) instead
   of the raw master key. Downstream consumers — spend logging,
   Prometheus metrics, audit trails, rate limiting, cost tracking — now
   receive the alias instead of the master key (which they would
   previously hash and propagate). Neither the raw master key nor its
   hash flows past the auth layer.

2. `_is_master_key` in spend_tracking_utils.py is reduced to a strict
   raw-only constant-time comparison. The hashed form is no longer
   considered equivalent.

Side effects:

- The two hash-detection blocks in `get_logging_payload` are removed.
  They were re-detecting the master key per spend-log write to swap in
  the alias; that detection happens once at the auth layer now.

- The `disable_adding_master_key_hash_to_db` general setting becomes a
  no-op. Operators can remove it from their config; existing config is
  still accepted.

- Operator dashboards that filter Prometheus metrics by the master-key
  hash will need to switch to the `api_key="litellm_proxy_master_key"`
  label.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 18:53:12 +00:00
Yuneng Jiang
2047446546
Scope NULLS LAST to ttft_ms only
The previous version appended NULLS LAST to every ORDER BY, which would
silently change DESC semantics for any nullable sort column added to the
whitelist later. Today the existing sort columns (spend, total_tokens,
startTime, endTime, request_duration_ms, model) are all non-null in the
result set, so the clause is a no-op for them — but the broader form is
misleading.

Apply NULLS LAST only when sorting by ttft_ms (the only column whose
computed expression actually produces NULLs). Update the model test to
assert the clause is absent for non-nullable columns.
2026-04-24 22:52:04 -07:00
Yuneng Jiang
5c0349a635
[Feature] UI - Spend Logs: sortable Model and TTFT columns
Extend the /spend/logs/ui sort_by whitelist to accept "model" and
"ttft_ms", and wrap the Model and TTFT (s) column headers with the
existing SortableHeader component so users can sort by either.

TTFT has no stored column, so it is computed inline as
(completionStartTime - startTime) milliseconds. Non-streaming rows
(completionStartTime null or equal to endTime) yield NULL and the
ORDER BY uses NULLS LAST so they always sort to the bottom regardless
of direction, matching the existing "-" display in the UI.

Adds parametrized backend tests for sort_by=model and a dedicated test
covering streaming + non-streaming TTFT ordering in both directions.
2026-04-24 22:29:15 -07:00
ishaan-berri
8a9faa81b2
feat(guardrails): LLM-as-a-Judge guardrail (#26360)
* feat(guardrails): add LLM_AS_A_JUDGE to SupportedGuardrailIntegrations

* feat(types): add EvalVerdict, StandardLoggingEvalInformation; wire eval_information into SpendLogsMetadata

* feat(guardrails): add self-contained llm_as_a_judge guardrail hook

* fix(a2a): filter agent-only litellm_params from acompletion kwargs; pass agent_id into body

* feat(ui): add LLMJudgeFields criteria builder component

* feat(ui): wire LLM-as-a-Judge into add guardrail form

* feat(ui): update EvalViewer — title 'LLM Judge Results', weighted score column, summary row

* fix(ui): wire EvalViewer into LogDetailContent to show LLM judge results on logs page

* fix(guardrails-ui): route llm_as_a_judge to criteria builder step; rename to LiteLLM LLM as a Judge; add litellm logo

* fix(guardrail-viewer): stack lifecycle + eval details vertically to avoid badge overflow in narrow drawer

* fix(guardrail-create): surface config validation errors on create instead of silently orphaning guardrail in DB

* fix(guardrail-registry): hardcode llm_as_a_judge in initializer registry so it loads regardless of package install path

* fix(llm-as-a-judge): fix P1 code quality issues - validate weights/on_failure, guard pre_call, handle multimodal, move imports to module level, fix spurious finally logging

* fix(guardrail_endpoints): use correct PK field in rollback delete and log rollback failure

* fix(llm_as_a_judge): support Pydantic object in _get_litellm_param fallback chain

* fix(LLMJudgeFields): replace @tremor/react Button with antd Button

* fix(llm_as_a_judge): remove dead registry dicts, fix KeyError in prompt builder, set correct status on judge failure

* test(llm_as_a_judge): add unit tests for guardrail hook

* fix(llm_as_a_judge): remove @log_guardrail_information decorator to fix duplicate guardrail_information entries

The decorator and the manual finally block both called add_standard_logging_guardrail_information_to_request_data, producing two entries per request. The decorator also misclassified HTTPException(422) blocks as guardrail_failed_to_respond (it checks for 400). The finally block correctly tracks status throughout, so removing the decorator is sufficient.

* fix(test_gcs_pub_sub): ignore metadata.eval_information in comparison

* fix(test_spend_management): ignore metadata.eval_information in payload comparison

* fix(types/guardrails): add input_type and messages to ApplyGuardrailRequest

* fix(guardrail_endpoints): pass input_type and messages through apply_guardrail endpoint

* fix(guardrail_endpoints): auto-detect post_call guardrails and use input_type=response

* fix(a2a_endpoints): merge agent litellm_params guardrails into data before post_call hooks

* fix(llm_as_a_judge): use float sum with tolerance for weight validation

* fix(guardrail_registry): split long import line for black formatting

* fix(llm_as_a_judge): guard guardrail_name Optional for mypy

* fix(llm_as_a_judge): set guardrail_status=guardrail_intervened when score fails, regardless of on_failure mode

* fix(a2a_endpoints): use try/finally so deferred spend log fires even when guardrail blocks with 422

* fix(litellm_logging): declare _defer_async_logging and _enqueue_deferred_logging on Logging class for mypy

* fix(logging_worker): restore queue.join() in flush() to wait for in-flight callbacks
2026-04-24 17:15:32 -07:00
Yuneng Jiang
e37d1b0cb6
[Fix] Deflake spend tracking tests
Two independent deflakes:

1. test_ui_view_spend_logs_unauthorized (unit) was returning 400 instead
   of 401/403 when earlier tests in the file left proxy-auth globals
   (prisma_client, master_key, user_custom_auth, general_settings,
   user_api_key_cache) in a state that let invalid tokens pass auth and
   fall through to the endpoint's own start_date/end_date validation.
   Add an autouse fixture that pins those globals to their import-time
   defaults for every test in the file. Harden the assertion to include
   response body so future flakes are diagnosable.

2. test_basic_spend_accuracy (CI job proxy_spend_accuracy_tests) depends
   on the Redis transaction buffer flushing spend to Postgres. The buffer
   uses a single global pod-lock key (cronjob_lock:db_spend_update_job)
   and a single global buffer list key. Pointing the proxy at the shared
   remote Redis means concurrent CI pipelines contend for the same lock
   and can drain each other's buffer into the wrong database. Add a
   start_redis reusable command that boots a per-job redis:7-alpine
   container (digest-pinned), and switch proxy_spend_accuracy_tests to
   REDIS_HOST=host.docker.internal:6379 so lock and buffer state are
   isolated per CI run.
2026-04-23 14:13:55 -07:00
Ishaan Jaffer
e8461b5b97
style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
Yuneng Jiang
4617d230f8
fix: hash sk- api_key in /spend/logs date-range path and add filter tests
Brings the date-range branch in line with the non-date-range branch which
already hashes sk- prefixed tokens before querying. Adds coverage for
filter-combination behavior in view_spend_logs.
2026-04-11 23:33:15 -07:00
yuneng-jiang
56e82451df
Merge pull request #25458 from BerriAI/litellm_team_members_logs
Team member permission /spend/logs for team-wide spend logs (UI + RBAC)
2026-04-11 13:55:00 -07:00
Ryan Crabbe
c7934c460d
fix(spend): session-TZ-independent date filtering for spend/error log queries
The raw SQL queries in spend_management_endpoints.py, spend_tracking_utils.py,
and analytics_endpoints.py cast date params to ::timestamptz while comparing
against the plain-timestamp "startTime" column. Postgres resolves the type
mismatch by promoting the column using the DB session timezone, which drifts
the filter window and date_trunc buckets whenever session TZ is not UTC —
silently dropping rows at UTC day boundaries and, for narrow windows, losing
rows entirely.

Wraps every such comparison with `AT TIME ZONE 'UTC'` so the param side
resolves to a plain timestamp matching the column type. Both sides end up
as plain timestamp, Postgres does no implicit conversion, and session TZ
plays no role in the query. The fix is constant-foldable so the existing
startTime index (PR #17504) remains usable.

Also marks strptime-produced datetimes as tz-aware UTC at the call sites
for intent clarity and consistency with parse_date.

Fixes #22529 (Logs page missing recent rows under non-UTC session TZ) and
the Global Usage single-day-returns-two-days symptom reported internally.
2026-04-10 17:04:52 -07:00
shivam
b6357cd986
fix(proxy): reject non-admin spend log detail when DB is unavailable
Non-admins previously skipped RBAC when prisma_client was None but could
still read payloads from custom loggers. Return 403 unless admin view.
Add test_ui_view_request_response_forbids_non_admin_without_db.

Made-with: Cursor
2026-04-09 18:39:33 -07:00
shivam
1f474d5bb3
fix(proxy): spend logs RBAC—avoid common_utils cycle, tighten ownership check
- Drop module-level common_utils import; import team helpers inside callers.
- Inline admin-view role check in _is_admin_view_safe to break import cycle.
- Require non-null row.user before treating spend log as owned by the key
  (fixes None==None bypass for service keys).
- Document deferred proxy_server imports in _get_permitted_team_ids_for_spend_logs.
- Update tests (common_utils patches, regression test, ruff cleanups).

Made-with: Cursor
2026-04-09 18:34:23 -07:00
shivam
288ccb39c0
resolved greptile comments 2026-04-09 18:20:05 -07:00
shivam
31f750146b
added option to allow team user to see logs of team 2026-04-09 17:43:20 -07:00
Krrish Dholakia
26d162ccf4 fix(test): add user_api_key_project_alias to spend logs expected keys
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 18:12:50 -07:00
Chesars
4e6e1d8de8 merge: resolve conflicts with upstream staging (bedrock + mcp tests)
Keep both sets of tests: upstream's OAuth2 token injection test and
our case-insensitive tool matching tests. Use upstream's version of
the bedrock output_config test (more comprehensive).
2026-03-12 13:40:16 -03:00
Chesars
feed274aa3 Reapply "feat: add model_cost aliases expansion support"
This reverts commit 3d2df7e8b5.
2026-03-12 13:36:57 -03:00
Chesars
1be6b31e2f merge: resolve conflicts between main and litellm_oss_staging_03_11_2026 2026-03-12 09:38:31 -03:00
yuneng-jiang
1a08ac6619 Fix TypeError in _is_master_key when api_key is None
When a request arrives without an API key, auth fails and the failure
hook triggers spend tracking. _is_master_key was called with api_key=None,
causing secrets.compare_digest to raise TypeError. Add a None guard for
api_key matching the existing guard for _master_key.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 11:01:29 -07:00
Cesar Garcia
3d2df7e8b5
Revert "feat: add model_cost aliases expansion support" 2026-03-10 22:39:19 -03:00
Sameer Kankute
200b001633 fix(bedrock): strip output_config from Converse requests; fix spend tracking redaction test
Made-with: Cursor
2026-03-10 11:53:36 +05:30
Krish Dholakia
53a1e31729
feat(spend-logs): add truncation note when error logs are truncated for DB storage (#22936)
When the messages or response JSON fields in spend logs are truncated
before being written to the database, the truncation marker now includes
a note explaining:
- This is a DB storage safeguard
- Full, untruncated data is still sent to logging callbacks (OTEL, Datadog, etc.)
- The MAX_STRING_LENGTH_PROMPT_IN_DB env var can be used to increase the limit

Also emits a verbose_proxy_logger.info message when truncation occurs in
the request body or response spend log paths.

Adds 3 new tests:
- test_truncation_includes_db_safeguard_note
- test_response_truncation_logs_info_message
- test_request_body_truncation_logs_info_message

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
2026-03-05 16:58:46 -08:00
Ishaan Jaff
29e3fd5d79
[Release Fix] (#22411)
* fix(lint): suppress PLR0915 for 3 complex methods that exceed 50-statement limit

- streaming_iterator.py: _process_event (84 statements)
- transformation.py: translate_messages_to_responses_input (51 statements)
- transformation.py: transform_realtime_response (54 statements)

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(mypy): resolve type errors in public_endpoints, user_api_key_auth, common_utils, transformation

- public_endpoints.py: fix _cached_endpoints type annotation
- user_api_key_auth.py: accept Optional[str] for end_user_id parameter
- common_utils.py: add NewProjectRequest/UpdateProjectRequest to Union type
- transformation.py: add ChatCompletionRedactedThinkingBlock and list[Any] to content type

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(proxy-extras): bump version to 0.4.50 and sync schema

- Bump litellm-proxy-extras from 0.4.49 to 0.4.50
- Sync schema.prisma with main proxy schema
- Includes new LiteLLM_ClaudeCodePluginTable model
- Includes new @@index([startTime, request_id]) on SpendLogs
- Update version references in requirements.txt and pyproject.toml

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(router): use string id in test_add_deployment and add defensive str() in register_model

- Change test to use string '100' instead of int 100 for model_info.id
- Add str() conversion in register_model to prevent AttributeError on non-string keys

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(security): update minimatch to 10.2.4 to fix CVE-2026-27903 and CVE-2026-27904

- Run npm audit fix in docs/my-website
- Updates minimatch from 10.2.1 to 10.2.4 (fixes HIGH severity ReDoS vulnerabilities)

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): update realtime guardrail test assertions to match actual guardrail behavior

- test_text_message_blocked_by_guardrail_no_ai_response: allow guardrail's own block
  message text in response.done (previously expected empty content)
- test_voice_transcript_blocked_by_guardrail: allow guardrail to send response.cancel
  + block message + response.create flow (previously expected no response.create)

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: revert proxy-extras version in requirements.txt and pyproject.toml

The litellm-proxy-extras 0.4.50 is not published to PyPI yet, so consumer
references must stay at 0.4.49. Only the source package pyproject.toml
should be bumped to 0.4.50 for the publish_proxy_extras CI job.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: make transcript delta check optional in voice guardrail test

The guardrail sends an error event (guardrail_violation) when blocking
voice transcripts; it does not always produce transcript deltas. Remove
the assertion requiring response.audio_transcript.delta since the error
event is the primary signal that blocked content was handled.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* Add missing env keys to documentation: LITELLM_MAX_STREAMING_DURATION_SECONDS and LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES

These two environment variables were used in code but not documented in the
environment variables reference section of config_settings.md, causing the
test_env_keys.py CI test to fail.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* Fix 13 mypy type errors across 6 files

- in_flight_requests_middleware.py: Fix type: ignore error codes from
  [union-attr] to [attr-defined], add [arg-type] for Gauge **kwargs
- transformation.py: Add [assignment] ignore for output_format reassignment,
  add fallback empty string for tool use id to fix arg-type
- responses/main.py: Remove redundant type annotation on second
  secret_fields assignment to fix no-redef
- streaming_iterator.py: Add [assignment] ignores for intermediate
  cache token assignments
- handler.py: Add [typeddict-item] ignore for AnthropicMessagesRequest
  construction from dict
- public_endpoints.py: Add [arg-type] ignore for _load_endpoints()
  return type mismatch with SupportedEndpoint model

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: add auth overrides to spend tracking tests, fix realtime guardrail assertion, update UI minimatch

- Add app.dependency_overrides for user_api_key_auth in 4 spend tracking tests
  that were returning 401 Unauthorized (error_code, error_message,
  error_code_and_key_alias, key_hash)
- Fix realtime guardrail test to check ANY error event for guardrail_violation
  instead of just the first (OpenAI may send its own errors first)
- Update ui/litellm-dashboard/package-lock.json to fix minimatch vulnerability

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* Fix failing MCP e2e and create_mcp_server UI tests

Test 1 (test_independent_clients_no_shared_session):
- Add allow_all_keys: true to MCP servers in test config. With master_key
  and no DB, get_allowed_mcp_servers returned empty, causing 0 tools and
  403 on tool calls. allow_all_keys bypasses per-key restrictions.
- Add asyncio.sleep(0.5) between client connections to allow MCP SDK
  TaskGroup cleanup and avoid ExceptionGroup on connection close (MCP #915).

Test 2 (create_mcp_server 'auth value is provided'):
- Use userEvent.setup({ delay: null }) for instant keystrokes to avoid
  timeout from default typing delay on CI.
- Increase per-test timeout to 15000ms for CI environments.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: stabilize proxy unit tests for parallel execution

- test_response_polling_handler: add xdist_group to prevent heavy import OOM
- test_db_schema_migration: use temp dir for worker isolation, sync schema.prisma index
- test_custom_tokenizer_bug: use lighter tokenizer to prevent OOM in parallel

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: add auth overrides to more spend tracking and model info tests

- Fix test_ui_view_spend_logs_pagination missing auth override (401)
- Fix test_view_spend_tags missing auth override (401)
- Fix test_view_spend_tags_no_database missing auth override (401)
- Fix test_empty_model_list.py to use app.dependency_overrides instead of patch()
  for FastAPI dependency injection auth

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): use patch.object for aiohttp transport test to work in parallel execution

The @patch decorator was not intercepting the static method call in parallel
xdist workers. Using patch.object on the directly-imported class is more reliable.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(security): update minimatch from 10.2.1 to 10.2.4 in Dockerfile

The Docker image was explicitly pinning minimatch@10.2.1 which has HIGH
severity ReDoS vulnerabilities (GHSA-7r86-cg39-jmmj, GHSA-23c5-xmqv-rm74).
Update to 10.2.4 which includes fixes for both CVEs.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(ui): prevent MCP and TeamInfo test timeouts on CI

- Add userEvent.setup({ delay: null }) to all tests using userEvent in both files
- Add timeout: 15000 to tests with significant user interaction (typing, multiple clicks)
- Fixes: create_mcp_server Bearer Token test, TeamInfo cancel button test

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: stabilize parallel test execution and aiohttp transport test

- test_aiohttp_handler: rewrite transport test to not rely on static method mock
  (consistently fails in parallel xdist workers)
- test_proxy_cli: add xdist_group to prevent timeout during heavy imports
- test_swagger_chat_completions: add xdist_group to prevent timeout

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(security): add serialize-javascript override to fix GHSA-5c6j-r48x-rmvq

Add npm override for serialize-javascript>=7.0.3 in docs/my-website
to fix HIGH severity RCE vulnerability via RegExp.flags.
Also bump minimatch override to >=10.2.4.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* Fix flaky tests: remove broken Vertex model, add retries for Anthropic

- Remove vertex_ai/meta/llama-4-scout-17b-16e-instruct-maas from
  test_partner_models_httpx_streaming - consistently returns 400 BadRequest
- Add @pytest.mark.flaky(retries=6, delay=10) to test_function_call_parsing
  for transient Anthropic API overload errors
- Add @pytest.mark.flaky(retries=6, delay=10) to test_openai_stream_options_call
  for transient Anthropic InternalServerError

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(ci): add xdist_group(proxy_heavy) to prevent OOM in parallel proxy tests

- Add pytestmark = pytest.mark.xdist_group('proxy_heavy') to test_proxy_utils.py
- Change test_db_schema_migration.py from schema_migration to proxy_heavy group
- Add @pytest.mark.xdist_group('proxy_heavy') to test_proxy_server.py::test_health

Groups heavy proxy tests to run on same worker, avoiding worker OOM crashes.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* Fix vertex AI qwen global endpoint test to mock vertexai module import

The test_vertex_ai_qwen_global_endpoint_url test was failing because the
VertexAIPartnerModels.completion() method tries to 'import vertexai' before
any of the mocked code runs. In environments without google-cloud-aiplatform
installed, this import fails with a VertexAIError(status_code=400).

Fix by:
- Adding patch.dict('sys.modules', {'vertexai': MagicMock()}) to mock the
  vertexai module import
- Adding vertex_ai_location parameter to the acompletion call for completeness

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(ci): add xdist_group to health endpoint and watsonx tests for parallel stability

- test_health_liveliness_endpoint: add xdist_group('proxy_health') to prevent timeout
- test_watsonx_gpt_oss tests: add xdist_group('watsonx_heavy') to prevent mock interference

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): pre-populate WatsonX IAM token cache to prevent parallel test interference

The watsonx prompt transformation test was failing in parallel execution because
litellm.module_level_client.post mock was being interfered with by other tests.
Pre-populating the IAM token cache avoids the HTTP call entirely.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): add spend data polling with retries for e2e pass-through tests

- test_vertex_with_spend.test.js: Replace 15s fixed wait with polling loop
  (up to 6 attempts, 10s apart) for spend data to appear in DB
- Increase test timeout from 25s to 90s to accommodate polling
- base_anthropic_messages_tool_search_test.py: Add flaky(retries=3) for
  streaming test that depends on live Anthropic API

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(ci): reduce parallel workers from 8 to 4 for proxy tests to prevent OOM

- litellm_proxy_unit_testing_part2: -n 8 -> -n 4
- litellm_mapped_tests_proxy_part2: -n 8 -> -n 4, timeout 60 -> 120
- Worker crashes consistently caused by too many parallel proxy tests
  each loading the full FastAPI app and heavy dependency tree

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(db): add migration for SpendLogs composite index (startTime, request_id)

The @@index([startTime, request_id]) was added to schema.prisma but had no
corresponding migration. This caused test_aaaasschema_migration_check to fail
because prisma migrate diff detected the missing index.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(db): add migration for MCP available_on_public_internet default change to true

The schema.prisma changed the default for available_on_public_internet from
false to true, but no migration was created. This caused the schema migration
test to detect drift.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): increase server wait time and add retry to flaky external API tests

- test_basic_python_version.py: increase server startup wait from 60s to 90s
  for slower CI environments (fixes installing_litellm_on_python_3_13)
- test_a2a_agent.py: add flaky(retries=3, delay=5) for non-streaming test
  that depends on live A2A agent endpoint

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): add flaky retries to all intermittent external API tests for 0-fail CI

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix(test): add auth overrides to file endpoint tests that return 500

The test_target_storage tests were getting 500 because the FastAPI auth
dependency wasn't overridden. Added app.dependency_overrides for proper
auth bypass in test environment.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
2026-02-28 09:46:35 -08:00
Sameer Kankute
87b4fed967
Merge pull request #22186 from BerriAI/main
merge main
2026-02-26 18:21:38 +05:30
Gaurav Singh
f3e31bc8ef
fix(proxy): honor MAX_STRING_LENGTH_PROMPT_IN_DB from config env vars (#22106)
* fix(proxy): honor MAX_STRING_LENGTH_PROMPT_IN_DB from config env vars

* fix(proxy): reuse constants fallback for MAX_STRING_LENGTH_PROMPT_IN_DB runtime resolver

* test(proxy): restore PEP8 spacing between spend tracking tests
2026-02-26 00:06:18 -08:00
Sameer Kankute
0debe92605 Fix_mapped tests part 2 2026-02-26 12:43:39 +05:30
Ishaan Jaff
adba088df2
Realtime API: spend log storage, playground UI, tools logging, and guardrail support (#22105)
Backend - Spend Log Storage for Realtime Calls:
- Collect user voice transcripts and text input during WebSocket sessions
- Store collected messages in spend logs when store_prompts_in_spend_logs enabled
- Capture tool definitions from session.update and tool calls from response.done
- Enrich proxy_server_request with tools and response with tool_calls for UI

Backend - WebSocket Auth:
- Support browser-based auth via Sec-WebSocket-Protocol subprotocol
- Echo back subprotocol on WebSocket accept

UI - Realtime Playground:
- New RealtimePlayground component with WebSocket voice+text chat
- Mic recording (PCM16 24kHz), server VAD, audio playback, text input
- Handle binary WebSocket frames (Blob/ArrayBuffer decoding)
- Add /v1/realtime endpoint option to playground endpoint selector

UI - Tools Section for Realtime Logs:
- Extract tool calls from realtime response format (response.tool_calls
  and response.results[].response.output[].type=function_call)

Tests:
- 15 new backend tests for realtime streaming and spend log storage
- 4 new UI tests for realtime tool call extraction

Fixes pre-existing build errors:
- ToolPolicies.tsx: duplicate import, antd styles type
- create_key_button.tsx: missing message import

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
2026-02-25 14:55:27 -08:00
yuneng-jiang
b78a30f773 [Feature] Add request_duration_ms to SpendLogs
Add a `request_duration_ms` column to `LiteLLM_SpendLogs` to track request
duration. New rows are computed at write time. Legacy rows use a COALESCE
fallback in the `/spend/logs/ui` query to compute duration on the fly from
`endTime - startTime`. The field is also sortable in the UI endpoint.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-24 21:04:53 -08:00
Ishaan Jaff
494aad4a68
fix(tests): isolate auth in vertex passthrough and spend logs date range tests (#21824)
test_vertex_passthrough_with_default_credentials and
test_view_spend_logs_with_date_range_summarized fail intermittently when a
prior xdist worker sets master_key — auth then rejects the unauthenticated
test requests before the code under test is reached.

- mock user_api_key_auth in test_vertex_passthrough_with_default_credentials
  (same pattern used for test_vertex_passthrough_with_no_default_credentials
  in #21810)
- wrap test_view_spend_logs_with_date_range_summarized in
  app.dependency_overrides[ps.user_api_key_auth] with try/finally cleanup
  (same pattern used for the other spend log tests in #21810)
2026-02-21 14:14:50 -08:00
Ishaan Jaff
dd6a74da63
fix(tests): isolate litellm.cache and CLI env vars in flaky tests (#21821)
- TestSpendLogsPayload: save/restore litellm.cache in setup_method/teardown_method
  so tests that run after a cache-setting test don't see a non-None cache and get
  a hash instead of "Cache OFF" in the cache_key field
- test_use_prisma_db_push_flag_behavior: apply clean_env pattern (strip DATABASE_URL/DIRECT_URL,
  then set DATABASE_URL to test value) inside the with block instead of using @patch.dict
  decorator, matching the pattern from test_skip_server_startup to avoid Click 8.3.x
  StreamMixer stream lifecycle issues in CI
2026-02-21 14:11:48 -08:00
Ishaan Jaff
6acfa1c71d
fix(tests): clear ANTHROPIC_BASE_URL/ANTHROPIC_API_BASE in spend log api_base tests (#21820)
Tests hardcode expected api_base as https://api.anthropic.com/v1/messages but
if ANTHROPIC_BASE_URL is set in the environment the recorded api_base changes,
causing a mismatch. Clear both env vars via monkeypatch at the start of each test.
2026-02-21 14:11:18 -08:00
Ishaan Jaff
b281181448
fix(tests): isolate auth in spend logs and vertex passthrough tests (#21810)
* fix(tests): add app.dependency_overrides for auth in spend logs tests

test_ui_view_spend_logs_with_status, test_ui_view_spend_logs_with_model,
test_ui_view_spend_logs_with_model_id, and test_view_spend_logs_summarize_parameter
all send Bearer sk-test without mocking user_api_key_auth. When a prior test
in the same xdist worker sets master_key, the auth check fails for sk-test
and the test fails intermittently.

Fix: use app.dependency_overrides[ps.user_api_key_auth] to bypass auth,
same pattern as other tests in the same file.

* fix(tests): mock user_api_key_auth in test_vertex_passthrough_with_no_default_credentials

vertex_proxy_route calls user_api_key_auth internally. When a prior test in the
same xdist worker sets master_key, the auth check fails for the test request
and create_pass_through_route is never called, causing assert_called_once_with to fail.

Fix: patch user_api_key_auth as an AsyncMock in the with mock.patch() block.
2026-02-21 12:51:38 -08:00
Ishaan Jaff
c6a8034184
fix(tests): isolate flaky tests - restore global state in setup/teardown (#21791)
* fix(tests): isolate flaky files endpoint tests from global proxy state

* test(secret_managers): add mocked unit test for write/read JSON secret cycle

* fix(tests): restore litellm.callbacks in TestSpendLogsPayload setup/teardown

* fix(tests): clear app.openapi_schema in TestSwaggerChatCompletions setup/teardown

* fix(tests): add flaky marker to test_async_increment_tokens_with_ttl_preservation
2026-02-21 11:30:35 -08:00
Ishaan Jaff
3e67cb5287
fix: resolve flaky test failures in health, spend logs, and CLI tests (#21769)
* fix: reset db_health_cache in source module to prevent stale cache hits

The test was reassigning db_health_cache via `global` in the test module,
which doesn't affect the _health_endpoints module's variable. When a prior
test set the cache to "connected" within 2 minutes, _db_health_readiness_check
returned early without calling health_check(), causing assert_called_once to fail.

Also use PrismaError with a connection message so it's properly recognized
as a connection error by PrismaDBExceptionHandler.is_database_connection_error.

* fix: replace asyncio.sleep with polling loop in spend logs tests

The GLOBAL_LOGGING_WORKER processes callbacks via an async queue, so
asyncio.sleep(1) is a race condition - under CI load the worker may not
have processed the queued task within 1 second. Replace with a polling
helper that waits up to 10 seconds for the mock to be called.

Also add metadata.attempted_retries and metadata.max_retries to
ignored_keys since these are new fields.

* fix: isolate test_skip_server_startup from CI environment

Remove mix_stderr=False (unsupported in some Click versions). Strip
DATABASE_URL/DIRECT_URL from environment during the test to prevent
real prisma operations when these are set in CI.
2026-02-21 10:02:24 -08:00
Sameer Kankute
36fd14357c FIx: replace deprecated claude-3-7-sonnet-20250219 with claude-4-sonnet-20250514 2026-02-20 17:27:59 -08:00
yuneng-jiang
e6b9bef949 [Fix] Fix flaky tests: spend logs metadata keys, proxy CLI isolation, Redis TTL uniqueness
- Add new SpendLogsMetadata keys to ignored_keys in spend logs tests
  (regression from ccecc10c82 which intentionally includes all keys)
- Mock PrismaManager.setup_database and should_update_prisma_schema in
  proxy CLI tests to prevent real DB migrations from running in CI
- Use CliRunner(mix_stderr=False) to fix Click stream lifecycle issues
- Use unique UUID suffix for Redis TTL test keys to avoid stale state

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-20 17:26:44 -08:00
yuneng-jiang
de1517411f [Feature] UI - Logs: Show retry count for requests
Add attempted_retries and max_retries fields to SpendLogsMetadata so the
Logs page can display how many retries occurred for each request. The
router now injects retry tracking metadata before each make_call, which
flows through the logging pipeline into the spend logs metadata JSON.

The UI shows "Not Retried" when the first attempt succeeded, and
"N / M" (attempted / max) when retries occurred. The field is hidden
for requests that did not go through the router.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-20 13:51:20 -08:00
Ishaan Jaffer
a6f467e896 fixes - showing content filter on failure 2026-02-17 17:57:52 -08:00
Ishaan Jaff
24fcc9da7c
fix: session grouping broken for dict rows from query_raw (#21435)
* fix: session grouping for dict rows from query_raw

* test: add unit test for session count enrichment with dict rows
2026-02-17 17:21:17 -08:00
yuneng-jiang
ae44022a40 Fixing spend tests 2026-02-12 21:37:19 -08:00
yuneng-jiang
55225a09cf Allow sorting on /spend/logs/ui 2026-02-11 12:48:33 -08:00
Alexsander Hamir
ebce0e5f8c
[Release - 02/10/2026] v1.81.10-nightly 2026-02-10 16:26:30 -08:00
yuneng-jiang
7fd8c0e160 Searchable Paginated Model Select For Spend Logs 2026-02-10 12:44:38 -08:00
Sameer Kankute
db8423b799 Fix: test_json_response_nested_json_schema 2026-02-06 18:52:04 +05:30