Commit graph

72 commits

Author SHA1 Message Date
Sameer Kankute
1ccc1e5b23
chore: litellm oss staging160626 (#30527)
* feat(ui): gate "Default Credentials" hint on /ui/login behind env flag (#30234)

Adds LITELLM_HIDE_DEFAULT_CREDENTIALS_HINT (and an equivalent
general_settings.hide_default_credentials_hint) that suppresses the
"By default, Username is admin and Password is your set LiteLLM Proxy
MASTER_KEY" info card rendered on /ui/login and /fallback/login.

Motivation: in production deployments operators set UI_USERNAME /
UI_PASSWORD (or SSO), and the hardcoded hint becomes factually
incorrect and is flagged by security scanners (Tenable WAS plugin
114625) as information disclosure. There is currently no way to
suppress it without forking the dashboard.

Behaviour:
- Default is unchanged (hint shown), so existing deployments are
  unaffected.
- New field hide_default_credentials_hint on the well-known UI config
  endpoint, populated from the env var or general_settings.
- LoginPage.tsx conditionally renders the Alert based on the flag.

Refs: BerriAI/litellm#30232

* fix(router): clean pattern_router state on upsert/delete (#29601)

* fix(router): clean pattern_router state on upsert/delete

PatternMatchRouter.add_pattern was append-only, and neither Router.upsert_deployment nor Router.delete_deployment removed the existing entry. Rotated-out api_keys stayed in the routing rotation for wildcard deployments (model_name with `*`) until proxy restart, silently defeating key rotation as an admin operation. The same leak applied to provider_default_deployment_ids and per-team pattern routers, and the patterns list grew unboundedly on every edit

* test(router): direct unit tests for _remove_deployment_from_wildcard_state

router_code_coverage.py greps test files for AST Call nodes and flagged
the helper as untested because the existing coverage only exercised it
transitively through upsert/delete. Adds two direct tests that pin the
helper's contract (cleans across global pattern router, per-team
routers with empty-router pop, and provider_default_deployment_ids;
noop on falsy model_id)

* fix(router): address Greptile review on pattern_router cleanup

Widen PatternMatchRouter.remove_deployment annotation to Optional[str];
the implementation already handles None via the falsy guard and the
unit test exercises it directly.

Move _remove_deployment_from_wildcard_state up one level in
upsert_deployment so it runs whenever the prior deployment is on the
router, not only when the model_id is present in the fast-mapping
index. The scenario is currently unreachable (get_deployment shares
the same index), but the cleanup is idempotent so this is defensive
against any future divergence between those code paths.

* fix(router): widen _remove_deployment_from_wildcard_state to Optional[str]

Moving the call out of the inner `deployment_id in deployment_fast_mapping`
block in the previous commit lost mypy's narrowing of `deployment_id`
from Optional[str] to str, tripping the lint CI. The helper already
handles None via its falsy guard, so widening the annotation matches
the actual contract.

* fix(router): make delete_deployment wildcard cleanup symmetric with upsert

After the previous commit moved _remove_deployment_from_wildcard_state out
of the inner index-map guard in upsert_deployment, delete_deployment was
still calling it only inside `if deployment_idx is not None`. Greptile
flagged the asymmetry: under a desynced index_map, delete would silently
leave the stale wildcard credential in pattern_router.

Moves the cleanup call to the top of the try block, mirroring the upsert
path. Cleanup is idempotent so the change is a no-op on the happy path.
Adds a regression test that simulates the desync by removing the entry
from model_id_to_deployment_index_map and asserts delete still clears
pattern_router.

* fix(pricing): add 1h cache-write cost for Anthropic Sonnet 4.5/4.6 (#30474)

The native anthropic claude-sonnet-4-5/4-6 price-map entries were missing
cache_creation_input_token_cost_above_1hr (and the >200K long-context
sub-tier for 4.5), so 1-hour-TTL cache writes were costed at the 5-minute
rate. Adds 6e-06 regular (and 1.2e-05 long-context) = 2x base input,
matching the vertex_ai/azure_ai/bedrock siblings and the older
claude-sonnet-4-20250514 entry. Adds a regression test.

* fix(proxy): cancel upstream gemini request and release httpx connection on client disconnect (#30075)

* fix(proxy): cancel upstream gemini request and release httpx connection on client disconnect

- add _check_request_disconnection to common_request_processing; wrap llm_call
  as asyncio.Task so it can be cancelled; catch CancelledError and raise
  HTTPException(499) when client disconnects before LLM responds (non-streaming path)

- pass raw httpx.Response into ModelResponseIterator in make_call/make_sync_call
  so the iterator holds a reference to the underlying connection

- implement ModelResponseIterator.aclose() and .close(): close the line iterator
  then explicitly call response.aclose()/response.close() to release the httpx
  connection when the client drops mid-stream; errors are debug-logged, not raised

- add tests for _check_request_disconnection (cancels task, graceful on exception,
  does not cancel when client stays connected) and base_process_llm_request 499
  behavior; add TestModelResponseIteratorCleanup verifying aclose/close propagation
  through CustomStreamWrapper

* fix(proxy): record 499 on streaming disconnect and cancel orphaned gather tasks

Wire streaming generator cleanup to log client_disconnected with error_code 499
in spend logs, cancel pending during_call_hook tasks when the LLM call is
cancelled on disconnect, and align the 600s poll limit comment with proxy_server.

* fix: extract client disconnect logging helper to satisfy PLR0915

* fix: resolve mypy and code-quality CI failures for client disconnect logging

Cast client disconnect error_information for mypy, only await pending gather tasks to avoid masking LLM errors, and add tests for the new logging helper and gather cleanup.

* fix(proxy): harden gather cleanup so finally cannot mask LLM errors

* fix(proxy): shield streaming disconnect logging and strip spoofable metadata

Move streaming disconnect recording into a shielded cancel scope, add gather cleanup regression coverage for guardrail-converted cancels, and strip client_disconnected/error_information from user metadata at the proxy boundary.

* fix(proxy): only map CancelledError to 499 for client disconnect

Track when the disconnect poller cancels the LLM task and re-raise other CancelledError paths so graceful shutdown is not reported as HTTP 499.

* fix(proxy): remove dead _check_request_disconnection helper

Non-streaming client disconnect is handled by staging's cancel_on_disconnect path via _await_llm_call_cancelling_on_disconnect. Drop the unused is_disconnected poller and its unit tests; rename the remaining integration tests to TestDisconnectGatherCleanup.

* feat(mistral): add mistral-medium-3-5 to model_prices_and_context_wind.. (#29303)

* feat(mistral): add mistral-medium-3-5 to
  model_prices_and_context_window.json

Mistral's docs page lists mistral-medium-3-5 as a new model offering.

Pricing/specs sourced from Mistral's published model metadata:
- input: $1.50 / 1M tokens
- output: $7.50 / 1M tokens
- context: 262,144 tokens
- capabilities: vision, function calling, structured outputs, assistant
  prefill

Adds entry: `mistral/mistral-medium-3-5`, mirroring the pattern used for
the rest of the Mistral family.

test(mistral): add model_info test for mistral-medium-3-5 + sync backup
cost map
- Mirror mistral/mistral-medium-3-5 entries into
  litellm/model_prices_and_context_window_backup.json so the bundled
  model cost map matches the canonical
  model_prices_and_context_window.json.
- Add tests/test_litellm/test_mistral_medium_3_5_model_metadata.py
  covering pricing tiers, capability flags, context window, provider
  routing, and parity between the main and backup cost maps.
- Point 'source' at the live Mistral models documentation page.

* fix(ui): three small UI fixes — Gemini api_base + credential form reset + Mode badge (#30419)

* fix(ui): three small UI fixes — Gemini api_base field + credential form reset + Mode badge

Three independent fixes; bundled because they all touch the
credential-form / logging-callbacks area.

1. expose api_base field on Google AI Studio credential form
   The runtime gemini provider supports custom api_base via
   `vertex_llm_base._check_custom_proxy`; the UI just needs to expose
   the field. Adds api_base to the Google_AI_Studio credential form
   ordered before api_key (matching OpenAI/Anthropic conventions).
   Default value matches the canonical Google AI Studio endpoint that
   LiteLLM's gemini provider talks to when api_base is unset, so
   leaving the default in the form behaves identically to leaving it
   blank.

2. reset credential form state when switching providers
   Switching the Provider select in AddCredentialModal / EditCredentialModal
   left the previous provider's field values populated. The form then
   submitted a mixed payload (e.g. Azure deployment fields under an
   OpenAI credential), producing confusing failures.

   Extract `getProviderFieldDefaults` helper and reset the form to it
   on provider change. Unit-tested via the extracted helper because
   Antd Select's portal/dropdown behaviour is unreliable in jsdom.

3. logging callbacks table reads backend `type` for Mode badge (#35)
   The `/get_callbacks` proxy endpoint returns each callback as
   `{name, type, variables}` where `type` is `"success"` or
   `"failure"`. The same callback name can appear twice (one per event
   class) and the two entries fire on disjoint events.

   `LoggingCallbacksTable` ignored `type` and read `record.mode`
   (always undefined), so every row fell back to the "Success" badge.
   A `generic_api` callback registered for both classes showed up as
   two identical "Success" rows + React duplicate-key warning.

   Read `record.type` first (fall back to `record.mode` for newly-
   added not-yet-server-acknowledged rows). Composite rowKey
   `${name}-${type ?? mode ?? 'success'}`. Removed leftover debug
   `console.log`.

* fix(ui): drop api_base default_value to preserve Gemini v1alpha auto-routing

Greptile P2 (PR #30419, threads on lines 1255-1256 of
provider_create_fields.json): the api_base field's `default_value` was
hard-coded to "https://generativelanguage.googleapis.com/v1beta". This:

1. Bakes v1beta into every credential record saved through the form,
   even when the user never touched the field. If LiteLLM's internal
   gemini default URL ever changes, those persisted credentials keep
   hitting the stale path.

2. Bypasses `_get_gemini_url`'s automatic version routing for Gemini 3+
   models. That helper picks v1alpha for Gemini 3+ and v1beta for older
   models when api_base is unset. With the default pre-filled (and
   `_check_custom_proxy` then taking over because api_base is non-empty),
   Gemini 3+ requests get pinned to v1beta and may fail or behave
   unexpectedly — purely because the user accepted the visible default.

Fix: set `default_value` to `null` and move the canonical URL guidance
into the `placeholder` (visible to the user, never persisted) and an
expanded tooltip. UX is unchanged — the URL is still shown in the
greyed-out input — but the auto-version-routing path stays default.

Updated test_google_ai_studio_provider_fields_expose_api_base to assert
the new contract (`default_value is None`, `placeholder` carries the
canonical URL), with a comment pointing at the Greptile threads as the
rationale so future contributors don't accidentally re-introduce the
default.

26/26 tests in the file pass. JSON validates (`json.load` clean).

* feat(azure_ai): add gpt-5.5 to model cost map (#30428)

* feat(azure_ai): add gpt-5.5 to model cost map

Adds azure_ai/gpt-5.5 and its dated snapshot azure_ai/gpt-5.5-2026-04-23 to
both the canonical and bundled cost maps. gpt-5.5 is generally available on
Azure AI Foundry; pricing mirrors the openai gpt-5.5 entry, matching the
established azure_ai convention (verified identical for gpt-5.4), in the
azure tier structure (base / above-272k / priority). supports_minimal_
reasoning_effort is false, the capability that changed from gpt-5.4.

Fixes #30306

* Update tests/test_litellm/test_gpt_5_5_model_metadata.py

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

---------

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

* fix: guard check_and_fix_namespace against None key (#30435)

* fix: guard check_and_fix_namespace against None key

When user_id is None, the cache key can be None, causing
AttributeError: 'NoneType' object has no attribute 'startswith'
in check_and_fix_namespace.

Add an early return for None key to prevent the error and the
ERROR-level log noise it produces on every unauthenticated request.

Fixes #30424

* fix: update type annotations for check_and_fix_namespace

- key: str -> Optional[str] (now handles None input)
- return: str -> Optional[str] (returns None when input is None)

Addresses Greptile review concern about type signature mismatch.

* fix: revert check_and_fix_namespace type signature to str to fix MyPy downstream errors

* fix: update type annotations for check_and_fix_namespace

- Change signature from str -> str to Optional[str] -> Optional[str]
- Remove type: ignore comment on None return
- Add None guard in async_set_cache_sadd before passing to helper

Addresses review feedback from Sameerlite on type mismatch.

* Revert "fix: update type annotations for check_and_fix_namespace"

This reverts commit 5272920fa0.

---------

Co-authored-by: michaelxer <michaelxer@users.noreply.github.com>

* fix(cost): apply service_tier suffix to above-threshold cache rates and expose priority+threshold keys in ModelInfo (#30450)

* fix(cost): apply service_tier suffix to above-threshold cache rates and expose priority+threshold keys in ModelInfo

Models that publish both a service_tier (e.g. priority) rate and an above-threshold tier (e.g. _above_200k_tokens) currently bill cached tokens at the standard above-threshold rate rather than the priority above-threshold rate. Affected entries in the live pricing JSON include gemini-3-pro-preview, gemini-3.1-pro-preview and their vertex_ai/ and gemini/ variants, plus azure/gpt-5.4 and azure_ai/gpt-5.4. For a 250K-token priority request with 200K cached tokens against gemini-3-pro-preview, the leak is about 44 percent of the prompt cost.

Two stacked defects caused this. First, ModelInfoBase (and the ModelInfo pydantic class) and the get_model_info construction in litellm/utils.py omit the priority+above-threshold cost keys, so even if the calculator asked for them they would never reach it. Second, in _get_token_base_cost the cache_creation/cache_read tiered keys never get wrapped with _get_service_tier_cost_key, while the input/output tiered keys above and below do. The change here surfaces six new keys (input, output and cache_read at both 200k and 272k priority variants) and wraps the three cache tiered keys in _get_token_base_cost the same way input/output already are. _get_cost_per_unit's existing service_tier-to-base fallback covers models that ship the standard above-threshold rate without a priority variant.

Adds one regression test in tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py that drives the actual generic_cost_per_token path for gemini-3-pro-preview at 200K cached + 50K text under priority and asserts the priority above_200k rates are picked. Verified the test fails on litellm_internal_staging without these changes and passes with them.

* fix(cost): drop guard on cache tiered keys so service_tier fallback can reach standard above-threshold rate

Addresses Greptile P1 on PR 30450. The previous commit wrapped cache_creation_tiered_key, cache_creation_1hr_tiered_key, and cache_read_tiered_key with _get_service_tier_cost_key (matching how the sibling input and output tiered keys are wrapped) but kept the surrounding 'if key in model_info' guards. For models that publish a standard above-threshold cache rate but no priority variant (gpt-5.4-pro, gpt-5.5-pro and their dated siblings, plus vertex_ai/claude-sonnet-4-5 for cache_creation), the guard short-circuits before _get_cost_per_unit's existing service_tier-to-base fallback can strip _priority and find the standard above-threshold key. The result on priority requests over the threshold was that those models silently dropped from the above-threshold rate back to the priority-base rate. Dropping the guard and calling _get_cost_per_unit unconditionally (mirroring how tiered_input_key and tiered_output_key are already handled) restores correct billing for that class of models while keeping the new priority+above-threshold behaviour for gemini-3-pro-preview and friends.

Adds a second regression test that pins generic_cost_per_token for vertex_ai/claude-sonnet-4-5 priority + above_200k with cached and cache_creation tokens to the expected standard above-threshold rates, so the guard cannot be silently reintroduced for either the cache_read or cache_creation path.

* fix(presidio): skip pre-call masking when guardrail is logging_only (#30461)

The Presidio pre-call hook masked the live request unconditionally, ignoring
the configured event hook. With mode: logging_only the masked request reached
the model, so its response echoed anonymization tokens (e.g. <PERSON>) instead
of the real output. Gate async_pre_call_hook on should_run_guardrail, matching
every other guardrail; logging_only masking still happens via async_logging_hook.

* fix(router): resolve list unhashable crash on model alias (#30464)

* fix(router): resolve list unhashable crash on model alias

Fixes the fallback parsing logic that mistakenly categorized standard array fallback definitions as override dictionaries when a deployment alias matches the literal string 'model'.

Closes https://github.com/BerriAI/litellm/issues/30459

* fix(router): address greptile review for fallback parsing edge cases

- Resolves ambiguity in standard vs override fallback dictionaries by iterating over all items and validating that no mapped litellm param resolves to a non-list type.
- Adds regression tests in test_router_order_fallback.py to prevent unhashable type crash from silently re-entering the codebase.

* chore(router): format code with black to pass CI

* fix(hosted_vllm): remove thinking_blocks and convert list content to strings (#30475)

* fix: hosted_vllm remove thinking_blocks and convert list content to strings

vLLM endpoints reject assistant messages with thinking_blocks converted
to content list blocks. This change removes thinking_blocks entirely
and converts any list content back to strings.

This fixes BadRequestError when using Claude Code with hosted_vllm
models that pass thinking_blocks in messages.

* fix(hosted_vllm): address Greptile review feedback

- Join multiple text blocks with newline instead of empty string
- Always set content to string (never None) to avoid vLLM validation errors

* fix(hosted_vllm): update chat transformation to clean assistant messages

* fix: re-raise exception instead of silently dropping MCP team permissions (#30477)

* fix: re-raise exception instead of silently
  dropping MCP team permissions

  When MCPRequestHandler.get_allowed_mcp_servers raises, the
  broad
  except was swallowing the error and returning only
  allow_all_server_ids,
  silently discarding all team-level object_permission grants.

  Fixes #30476

* fix: log full traceback when MCP permission lookup fails

Uses verbose_logger.exception() instead of warning() so operators
can see the full traceback when team-level object_permission grants
are dropped due to an internal error in get_allowed_mcp_servers.

Fixes #30476

* fix: remove timezone date expansion in daily-activity aggregation (#29569)

* fix: remove timezone date expansion in daily-activity aggregation

Single-day spend queries from non-UTC timezones over-counted by ~2x
because the previous implementation widened the SQL date range by a
full UTC day on whichever side the offset pointed. Spend is bucketed
in whole-UTC-day rows in LiteLLM_DailyUserSpend, so the expansion
pulled an extra 24h of unrelated bucket data per boundary.

Concretely on IST (UTC+5:30, offset -330): a single-day query for
2026-05-29 was rewritten to date >= 2026-05-28 AND date <= 2026-05-29
and returned spend across both UTC days. Sums of single-day queries
across a 5-day window then exceeded the equivalent multi-day aggregate
by ~50%, which is mathematically impossible.

Treat the local date range as the UTC date range. The aggregation
table has no hour-level granularity, so any conversion using only
date arithmetic must round to whole UTC days; the previous fix turned
that boundary slop into systematic over-counting. Pass-through trades
a small one-time slop at each end of the range for correct, monotonic,
additive results across single-day and multi-day queries.

Repro from production: bedrock/global.anthropic.claude-opus-4-8 over
2026-05-29 to 2026-06-02, IST timezone:
- 5-day aggregate: $701.39 / 1,831 reqs
- Sum of 5 single-day queries: $1,070.94 / 2,755 reqs
- Excess (was 1.527x): now matches within boundary slop

Adds regression tests in TestAdjustDatesForTimezone and
TestBuildAggregatedSqlQuery that pin the pass-through behavior and
the additivity invariant for any future implementation.

* ci: rerun checks on litellm_oss_branch base

---------

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

* fix: buffer native gemini sse frames (#30225)

* fix: buffer native gemini sse frames

* fix: scope native gemini sse buffering

* fix: check raw sse residual buffer size

* feat: updated openrouter provider to map max level to xhigh (#28881)

* feat(proxy): allow use_redis_transaction_buffer without redis cache (#28764)

* feat(proxy): allow use_redis_transaction_buffer without redis cache

* fix(proxy): require host or url for standalone buffer redis

* fix(mcp): fail closed when scope filter resolves to no servers (#30353)

`_get_allowed_mcp_servers_from_mcp_server_names` returned the caller's full
allowed-server set when the requested `mcp_servers` list (path- or
header-derived) resolved to nothing. URL/header namespacing therefore
appeared to work even when the requested name was unknown or the caller had
no grant — `/mcp/<typo>/` silently exposed every server the key could reach.

Fail closed instead: when `mcp_servers` is explicitly provided but nothing
resolves, return an empty list. The `mcp_servers=None` path (no scope
requested) keeps its existing behavior.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>

* fix(token-counter): handle Anthropic tool_reference blocks to stop dropped spend logs (#30302)

* fix(token-counter): handle Anthropic tool_reference blocks to stop dropped spend logs

`token_counter` did not know about Anthropic tool-search `tool_reference`
content blocks, a lightweight pointer to a deferred tool that shows up as
`{"type": "tool_reference", "tool_name": ...}`. When such a block appeared in
message content, `_count_content_list` fell through to its catch-all branch and
raised `Invalid content item type: tool_reference`.

On the streaming `anthropic_messages` proxy path that exception nulls
`response_cost`, which makes the proxy drop the entire SpendLogs row. The result
is a silent cost undercount on any tool-search traffic; the request succeeds for
the caller but the spend is never recorded.

This adds a `tool_reference` branch that counts the referenced `tool_name` (the
full tool definition is already counted via the `tools` param, so only the name
is added here) and handles an empty/missing name gracefully. The catch-all error
message is updated to list `tool_reference` among the expected types.

A regression test asserts that a message containing a `tool_reference` block no
longer raises and returns a positive token count, and that an empty `tool_name`
is handled without error.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(token-counter): collapse explicit None tool_name to empty string

In _count_content_list, c.get("tool_name", "") returns None when the
key is present with an explicit None value, and str(None) == "None"
which is truthy, causing a spurious token to be counted. Use
c.get("tool_name") or "" so both a missing key and an explicit None
collapse to an empty string and are skipped.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(token-counter): cover catch-all for unknown content block type

Adds a regression test that calls `_count_content_list` with an unrecognized
content block type and asserts it raises `ValueError` whose message names the
offending type and lists `tool_reference` among the supported types. This
exercises the previously uncovered catch-all branch (codecov patch gap) and
pins the error contract.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(token-counter): cover tool_reference on the spend/cost and streaming paths

Adds end-to-end regression tests that exercise the real public entry points
(`completion_cost` and `stream_chunk_builder`), not just the private
`_count_content_list` helper, for Anthropic tool-search `tool_reference`
content blocks.

These pin the actual bug the fix addresses: before the fix the `tool_reference`
block raised out of `completion_cost` -> the proxy logging layer nulled
`response_cost` and the spend callback dropped the SpendLogs row (silent cost
undercount on all tool-search traffic); and `stream_chunk_builder` swallowed the
same raise and collapsed prompt_tokens to 0. With the fix, cost is positive and
prompt_tokens are counted. Verified: 3 fail without the fix, 3 pass with it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(cost): add cost mapping for deepseek-v4-flash and deepseek-v4-pro (#27056)

* feat(cost): add cost mapping for deepseek-v4-flash and deepseek-v4-pro

Adds pricing entries for the two new DeepSeek V4 models released on
2026-04-24, for both bare model names and the deepseek/ provider prefix.

Prices sourced from https://api-docs.deepseek.com/quick_start/pricing:
- deepseek-v4-flash: $0.14/M input, $0.28/M output
- deepseek-v4-pro:   $1.74/M input, $3.48/M output

Cache hit price set to 1/10 of input (per DeepSeek docs).
Context window: 1M tokens for both models.

Closes #26709

* fix(cost): update backup registry for deepseek-v4

* style: remove print statement from deepseek-v4 test

* feat(cost): add cost mapping for deepseek-v4-flash and deepseek-v4-pro

Adds pricing entries for the two new DeepSeek V4 models released on
2026-04-24, for both bare model names and the deepseek/ provider prefix.

Prices sourced from https://api-docs.deepseek.com/quick_start/pricing:
- deepseek-v4-flash: $0.14/M input, $0.28/M output
- deepseek-v4-pro:   $1.74/M input, $3.48/M output

Cache hit price set to 1/10 of input (per DeepSeek docs).
Context window: 1M tokens for both models.

Closes #26709

* fix: update deepseek-v4 prices to active discounted rates

* test: update deepseek-v4 prices in tests to match active discounted rates

* fix(deepseek): remove duplicate entries and update backup registry to active discounted rates

* fix: update max_output_tokens to 384K for deepseek-v4

* fix: correctly restore upstream models accidentally dropped during merge

* fix(tests): resolve failing claude-fable-5 and reasoning tests by safely updating cost map

- Pulled the latest cost map from upstream staging
- Safely appended deepseek-v4 mapping without deleting duplicate keys or formatting via json.dump

* fix(tests): correct deepseek model cache prices and update JSON schema

- Appended both prefixed and bare deepseek-v4 models to satisfy test assertions
- Corrected deepseek-v4-pro expected cache hit and token prices based on latest review updates
- Added missing realtime endpoint to test_utils.py INTENDED_SCHEMA

* fix: remove accidental azure/gpt-realtime-whisper addition

---------

Co-authored-by: Dushyant Acharya <dushyantacharya@Dushyants-MacBook-Pro.local>

* feat(key/info): expose per-model budget usage in /key/info response (#30394)

* feat(key/info): expose per-model budget usage in /key/info response

Add model_max_budget_usage to /key/info and /v2/key/info responses.
For each model in model_max_budget, reads current-period spend from
the same DualCache used by the budget enforcer and returns it alongside
the limit and time period so callers can see how much of each model
budget has been consumed in the active window.

* test(key/info): add coverage for model_max_budget_usage in v1 and v2 endpoints

Add tests for the model_max_budget_usage enrichment in both info_key_fn
and info_key_fn_v2, covering the budget-present path, the empty-budget
path, and the v2 batch endpoint.

* fix(key/info): source model_max_budget current_spend from SpendLogs instead of DualCache

The DualCache used for enforcement is ephemeral and only populated when budget metadata
is present at request time. Fall back to a direct LiteLLM_SpendLogs DB aggregation
using the budget period window (budget_reset_at - budget_duration) for accurate reporting.
Also fall back to litellm_budget_table.model_max_budget when the key's top-level field
is empty, and round current_spend to 4 decimal places.

* test(key/info): cover remaining branches in model_max_budget_usage helpers

Add unit tests for: prisma_client=None early return, DB query exception swallowing,
invalid budget_duration handled by _compute_budget_period_start, budget_reset_at
received as a datetime object (Prisma native type), max_seconds=0 early return, and
skipping models that lack a budget_duration. Also remove an unreachable except branch
where fromisoformat would fail after _compute_budget_period_start already validated the
same value.

* test(key/info): cover except path for unparseable per-model budget_duration

* fix(key/info): compute per-model rolling windows in model_max_budget_usage

Each model in model_max_budget now gets its own time window derived from
its own budget_duration, rather than sharing a single window computed as
the max (or the budget table's reset_at). This matches what the DualCache
enforcer actually tracks and prevents current_spend from being inflated
for models with shorter windows.

_query_model_spend_for_period is refactored to accept a model filter
(handling provider-prefix variants in SQL) and return a float directly.
_compute_budget_period_start and the budget_table window path are removed
as they are no longer needed.

* refactor(model_max_budget_limiter): remove dead get_current_period_spend method

* refactor(key/info): strip synthetic formatter noise from PR diff

Restore key_management_endpoints.py and test_key_management_endpoints.py
to origin/litellm_internal_staging, then re-apply only the intentional
additions: _query_model_spend_for_period, _build_model_max_budget_usage,
the two endpoint patches (info_key_fn / info_key_fn_v2), and the new
test suite. The previous commits had reformatted ~300 pre-existing lines
across both files, making the functional diff unreadable.

* test(key/info): cover empty-rows path in _query_model_spend_for_period

* fix(model_max_budget_limiter): guard BudgetConfig construction inside try/except

A malformed model entry in the DB (e.g. non-numeric max_budget from a
manually edited or migrated row) caused BudgetConfig(**budget_info) to
raise a Pydantic ValidationError outside any exception guard, surfacing
as a 500 for the entire /key/info or /v2/key/info call. Merging both
try/except blocks into one ensures bad entries are silently skipped,
consistent with the existing duration_in_seconds guard.

* fix: don't stack provider prefix on wildcard models with a custom prefix (#30360)

* fix: don't stack provider prefix on wildcard models with a custom prefix

get_known_models_from_wildcard expanded provider-prefixed model ids (e.g.
"ollama/gemma3:1b" from get_provider_models) by prepending the wildcard's
prefix whenever the id did not already start with it. With a custom wildcard
prefix such as "ollama_server1/*" (used to distinguish multiple Ollama
instances), this produced "ollama_server1/ollama/gemma3:1b", which is
uncallable and breaks /v1/models.

When the expanded id already carries a provider prefix, replace it with the
wildcard's prefix instead of stacking both. Matching-prefix and bare-model
cases are unchanged.

Fixes #30358

* fix: only strip a known provider prefix when expanding custom wildcard prefixes

The wildcard expansion replaced the leading slash segment of every expanded id with the wildcard prefix whenever the id did not already start with it. For ids whose first segment is an org rather than a litellm provider (for example a provider returning "meta-llama/Llama-3-8B" with no outer provider prefix), that dropped the org and produced an uncallable id

Only strip the leading segment when it is a recognized provider (membership in LlmProviders); otherwise keep it and just prepend the wildcard prefix. Provider-prefixed ids like "ollama/gemma3:1b" still have their prefix replaced, so the original fix is unchanged for known providers

* address greptile review feedback: log dropped non-text vLLM assistant content blocks (greploop iteration 1)

* fix(ci): format credential_form_helpers test + regenerate dashboard schema.d.ts

* fix(proxy): raise litellm.BadRequestError for missing model param

When no model is passed, route_request now raises a litellm.BadRequestError
('Missing model parameter') instead of falling through to ProxyModelNotFoundError.
This keeps the missing-param error clear and independent of router wildcard
state. Unknown (non-empty) model names still raise ProxyModelNotFoundError.

* Revert "fix(proxy): raise litellm.BadRequestError for missing model param"

This reverts commit 9240da403c.

* Revert "fix(router): clean pattern_router state on upsert/delete (#29601)"

This reverts commit ad4e6e2395.

* fix: correct streaming and key budget usage reporting

* fix(hosted_vllm): type assistant tool_calls to satisfy mypy

* feat: aws secret manager cross region replication (#30368)

* feat(aws-secret-manager): add replica_regions cross-region replication after CreateSecret

When store_virtual_keys is enabled, async_write_secret() only wrote secrets
to the primary AWS region. Multi-region proxy deployments had no built-in
way to synchronize virtual key secrets across regions through LiteLLM,
requiring external replication mechanisms.

Add replica_regions support to AWSSecretsManagerV2:
- New replica_regions field in KeyManagementSettings (types/secret_managers/main.py)
- New async_replicate_secret() method that calls ReplicateSecretToRegions API
- async_write_secret() calls replication after successful CreateSecret
- Replication failure is logged as a warning but does NOT fail key creation
- load_aws_secret_manager() forwards replica_regions from key_management_settings

Configuration example:
  key_management_settings:
    store_virtual_keys: true
    replica_regions:
      - us-west-2
      - eu-west-1

When replica_regions is omitted or empty, behavior is unchanged.

* test(aws-secret-manager): restore litellm.secret_manager_client after test to prevent state pollution

* test(aws-secret-manager): add coverage for HTTP error and replication exception paths

* fix: restore litellm.secret_manager_client global state in test; add replication log proof

- Global state in test_load_aws_secret_manager_passes_replica_regions was
  already guarded with try/finally (committed in previous pass); no further
  change needed for Fix 1.
- Fix 2: add verbose_logger.info("ReplicateSecretToRegions called …") inside
  async_replicate_secret so callers get an observable INFO log line whenever
  replication fires.
- Add test_replication_fires_on_create: calls async_replicate_secret directly
  with caplog.at_level(INFO, logger="LiteLLM") and asserts "ReplicateSecretToRegions"
  appears in the captured log output, proving the code path executes.

* fix: pass request to streaming generators

* fix(hosted-vllm): preserve assistant structured content

* fix(hosted_vllm): satisfy mypy on preserved structured content assignment

* chore: resolve litellm_internal_staging merge conflicts for #30527 (#30554)

* chore(codecov): add Batches, Videos, and Realtime components (#30517)

* chore(codecov): add Batches, Videos, and Realtime components

Define per-feature Codecov components so PR comments track coverage
for batch API, video generation, and realtime streaming paths.

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

* chore(codecov): use wildcard path for Batches proxy component

Align batches_endpoints glob with Videos, Realtime, and Proxy_Authentication.

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

---------

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

* test(batches): move orphan tests into tests/test_litellm for CI coverage (#30510)

Four batch-related tests lived under tests/litellm/ and were never picked
up by GitHub Actions. Relocate them and fix gemini multimodal e2e to use
the batchEmbedContents path expected for gemini/ provider.

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

* fix(guardrails): run pre_call hook once for model-level guardrails (#30543)

* fix(guardrails): run pre_call hook once for model-level guardrails

A CustomGuardrail attached to a deployment via litellm_params.guardrails
gets its async_pre_call_hook invoked twice per request: once by the proxy
pre-call loop and again by async_pre_call_deployment_hook after the router
spreads the model-level guardrails into the top-level request kwargs.

Record in request metadata that the proxy pre-call loop already ran a given
guardrail, and have the deployment hook skip it when the marker is present.
Direct-SDK usage never runs the proxy loop, so the deployment hook stays the
sole invocation there and still fires exactly once.

The marker key is stripped from untrusted caller metadata so a request body
cannot suppress a model-only guardrail by pre-seeding it.

* fix(guardrails): mark pre_call dedup on the post-hook request data

Record the exactly-once marker after async_pre_call_hook runs, on the data
object that flows downstream, rather than before it. A guardrail whose hook
returns a brand-new request dict (instead of mutating or spreading the one it
received) would otherwise discard the marker, letting the deployment hook
re-run the guardrail a second time.

* fix(guardrails): stop re-initializing DB guardrails on every poll (#30542)

* fix(guardrails): stop re-initializing DB guardrails on every poll

InMemoryGuardrailHandler._has_guardrail_params_changed compared the
in-memory LitellmParams against the raw dict loaded from the DB. The
in-memory side carries every field default and coerces enums via
model_dump(), while the DB side only holds the keys originally stored,
so the two shapes never compared equal and the guardrail was rebuilt on
every poll cycle.

Each rebuild created a fresh instance, but delete_in_memory_guardrail
only removed the old callback from litellm.callbacks. Request handling
promotes guardrail callbacks into the success/failure/async lists, so
the previous instance stayed referenced there and instances accumulated.

Normalize both sides through LitellmParams(...).model_dump() before
diffing, and purge the callback from every callback list on delete.

* refactor(guardrails): narrow params-normalization fallback to ValidationError

The comparison normalizer caught a bare Exception and silently fell back
to the raw dict, which hid the cause and quietly degraded the affected
guardrail back to re-initializing on every poll. Catch only the
ValidationError that LitellmParams construction can raise, log a warning
so the offending row is diagnosable, and let any other error surface
instead of being swallowed.

* refactor(callbacks): add remove_callback_from_all_lists helper to manager

Move the knowledge of which callback lists a callback can be promoted
into out of the guardrail registry and into LoggingCallbackManager, where
the rest of the callback-list bookkeeping already lives. delete_in_memory_guardrail
now delegates to the new helper instead of iterating the lists itself.

* chore(oss): litellm oss staging 150626 (#30463)

* fix(pricing): add GitHub Copilot MAI Code Flash pricing (#30415)

* fix(pricing): add GitHub Copilot MAI Code Flash pricing

Add GitHub Copilot pricing entries for MAI-Code-1-Flash and the internal Copilot CLI model name so cost calculation can price input, cached input, and output tokens.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* test(pricing): cover GitHub Copilot MAI Code Flash pricing

Add regression coverage for both GitHub Copilot MAI-Code-1-Flash model names, including cached input pricing, chat endpoint metadata, and cost_per_token arithmetic.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(router/proxy): propagate completed_response through FallbackResponsesStreamWrapper for streaming /v1/responses container ownership (#30210) (#30213)

* fix(router/proxy): propagate completed_response through FallbackResponsesStreamWrapper for streaming /v1/responses container ownership (#30210)

#28990 added ownership recording for streaming /v1/responses via
_wrap_responses_stream_for_container_ownership, which reads
`getattr(stream_response, 'completed_response', None)` to extract the
ResponsesAPIResponse. The unit test bypassed the Router, so it never
exercised the production wrapping path.

Through the Router (every proxy deployment), the stream is wrapped by
FallbackResponsesStreamWrapper (router.py:2527). Its __init__ set
`self.completed_response = None` and __anext__ only forwarded chunks
— the inner source iterator's terminal event never bubbled up to the
attribute the ownership hook reads, so the hook silently recorded
nothing and every follow-up /v1/containers/<id>/files call returned
403 for non-admin keys.

This commit:

- router.py: pre-resolves the responses-API terminal event tuple
  (response.completed / .incomplete / .failed) once per
  _aresponses_streaming_iterator call, and has the wrapper's __anext__
  sniff each forwarded chunk's .type. First terminal event hit gets
  stored on the wrapper's completed_response. Iterator-agnostic — works
  for source_iterator AND any future wrapper.

- common_request_processing.py: when _extract_completed_responses_response
  returns None we now warn instead of silently skipping. Reporter on
  #30210 lost a day to this exact silent skip; the warning surfaces
  future regressions of the same shape directly in operator logs.

Fixes #30210

* fix(router): type-ignore wrapper getattr-defaults; broaden ownership-skip warning

CI lint (mypy) flagged the three pre-existing getattr(..., None) assignments
in FallbackResponsesStreamWrapper.__init__:

  router.py:2564 self.response = getattr(source_iterator, 'response', None)
  router.py:2565 self.model    = getattr(source_iterator, 'model', None)
  router.py:2566 self.logging_obj = getattr(..., None)

Those lines also exist on litellm_internal_staging and pass mypy there.
Adding the typed terminal-event tuple above the class made the function
body more narrowable, which surfaced the pre-existing mismatch — base
class declares non-Optional types but the bridge path
(LiteLLMCompletionStreamingIterator) legitimately omits these. Keep
the None fallback and silence with type: ignore[assignment].

Greptile 4/5 note: the ownership-skip warning hard-named code_interpreter
which misleads operators when a non-code_interpreter stream aborts.
Generalize to 'any tool container (e.g. code_interpreter)'.

* fix(register_model): drop synthesized zero costs to preserve sparse entries (#30198) (#30201)

* fix(register_model): drop synthesized zero costs to preserve sparse entries (#30198)

get_model_info synthesizes input_cost_per_token / output_cost_per_token = 0
when they are absent from the raw entry (the price-unknown and free cases
share the same representation). register_model then merges that result back
into litellm.model_cost, which flips a sparse entry from 'no cost keys'
(priced via model name) to 'cost keys = 0' (free).

That defeats _is_cost_explicitly_configured (#24949) on re-registration:
_is_model_cost_zero returns True, common_checks skips every tag / key /
team / user / org budget check for the group, and over-budget traffic
keeps returning 200. Spend keeps recording because cost calc still resolves
by model name, so the symptom is silent and only triggers on the second
register_model pass (router rebuild, /model/update, config sync).

Mirror the existing litellm_provider-None guard one block above and pop
the cost fields from the synthesized result when they are absent from the
raw entry and not in the caller's value. Caller-provided zeros (genuinely
free models, BYOK overrides) are preserved.

Fixes #30198

* fix(register_model): switch _raw_entry to is-None checks + drop dead test assertion

Greptile #30201 review notes:
- the `or`-chain in the raw-entry lookup treated an empty dict (a key
  with no fields) as falsy and fell through to the second arm — replace
  with explicit `is None` checks so a present-but-empty entry is still
  taken at face value.
- the first assertion in `test_router_double_init_keeps_db_model_entry_sparse`
  used `in (None, 0)` which passes under the bug condition (cost = 0
  matches the tuple); the strong follow-up assertion already covers
  every shape, so drop the dead branch.

* fix(bedrock mantle): use unique function-call id for responses->chat tool calls (#30426)

* fix(bedrock mantle): use unique function-call id for responses->chat tool calls

...

* fix(bedrock mantle): scope unique tool-call id fallback to degenerate call_id

The previous revision preferred the Responses item id for every tool call, which broke providers (and existing tests) where call_id is a unique, canonical correlation key. Restrict the fallback to the degenerate index-based call_id that Bedrock Mantle returns (call_0, call_1, ... resetting per response) and keep call_id otherwise. Revert the change to the OUTPUT_ITEM_DONE streaming handler, whose tool_call_chunk is never emitted (dead code, per review). Extend the regression tests to assert a normal call_id is preserved.

* fix(router): preserve azure_ad_token through CredentialLiteLLMParams for /v1/files + batches (#30235) (#30241)

* fix(router): preserve azure_ad_token through CredentialLiteLLMParams for /v1/files + batches (#30235)

Router.get_deployment_credentials_with_provider re-validates a
deployment's litellm_params through CredentialLiteLLMParams before
handing them to file/batch/passthrough callers:

    return CredentialLiteLLMParams(
        **deployment.litellm_params.model_dump(exclude_none=True)
    ).model_dump(exclude_none=True)

Any field NOT declared on CredentialLiteLLMParams gets silently dropped
on the way through. azure_ad_token was undeclared, so Azure deployments
using OAuth/M2M (azure_ad_token instead of a static api_key) silently
lost their token at the files endpoint and the proxy returned:

    Missing credentials. Please pass one of api_key, azure_ad_token,
    azure_ad_token_provider, ...

Declare azure_ad_token on CredentialLiteLLMParams alongside api_key /
api_base / api_version so it rides through the round-trip. Static-key
deployments stay unaffected (Optional, default None, dropped by
exclude_none=True). Provider-callable (azure_ad_token_provider) is a
separate concern and out of scope here.

Fixes #30235

* fix(ui-types): regenerate schema.d.ts for new azure_ad_token field

CI's 'Verify schema.d.ts matches the proxy OpenAPI spec' check
auto-detected the new field and emitted the exact diff to apply.
Two schemas had `aws_secret_access_key` from CredentialLiteLLMParams,
both get the new azure_ad_token marker next to it.

* fix(proxy): org_admin with own user_id now sees all org teams on /v2/team/list (#30247)

When the UI sends the callers own user_id (as it does for non-Admin
global roles), _enforce_list_team_v2_access now nulls it out for org
admins so _build_team_list_where_conditions scopes by organization_id
only -- matching the legacy /team/list behavior and the documented intent.

Fixes #30215

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

* test(vertex_ai): multi-region regression coverage for cachedContents host (#29571) (#29707)

litellm_internal_staging already routes the cachedContents URL through
get_vertex_base_url, fixing the multi-region 404 reported in #29571 —
but carries no test coverage for the actual regression scenario (eu/us
must resolve to the REP host aiplatform.{geo}.rep.googleapis.com).

Add TestContextCachingMultiRegionUrls: parametrized eu/us REP-host
assertions (including absence of the old broken {geo}-aiplatform host),
plus regional (us-central1) and global no-regression checks.

* fix(proxy): close upstream LLM stream when client disconnects mid-stream (#30245)

* fix(proxy): close upstream LLM stream when client disconnects mid-stream

When a streaming client disconnects, Starlette abandons the response
body iterator without calling aclose(), so the proxy's connection to
the upstream backend stays open until garbage collection, which may
never come. The backend (e.g. vLLM) keeps generating into a dead pipe:
small responses drain invisibly into TCP buffers while large ones block
the backend on a full send buffer indefinitely (observed via lsof as an
ESTABLISHED proxy->backend connection minutes after the client left)

create_response now returns a StreamingResponse subclass that closes
both its body iterator and the wrapped upstream-facing generator in a
shielded finally. The upstream generator is closed directly rather than
through a cascade because aclose() on a never-started generator skips
its body, which would make the cascade a no-op when the client
disconnects before the first chunk is sent.
async_streaming_data_generator also gains the same shielded
finally-aclose that async_data_generator in proxy_server.py already
had, covering the Anthropic and Google SSE paths

With this, killing a streaming client causes the backend to observe the
abort within about a second and free its slot, while completed streams
are unaffected. No flag is needed, unlike the non-streaming opt-in
cancel in #30223: this only releases resources after the client is
already gone and does not change any response a client can observe

Fixes #30244

* fix(proxy): close upstream even when body iterator aclose raises BaseException

Addresses the Greptile finding on #30245: the cleanup loop caught only
Exception while the generator-level cleanup catches BaseException, so a
CancelledError or GeneratorExit escaping body_iterator.aclose() would
skip closing the upstream generator. Both sites now use the same scope
and a regression test pins that the upstream is closed even when the
body iterator explodes with a BaseException

* fix(llms): expose aclose on BaseModelResponseIterator so stream close reaches the provider connection

The response-level close added for #30244 only worked for SDK-based
providers (e.g. openai), whose streams expose aclose all the way down.
Providers served by base_llm_http_handler (hosted_vllm and most modern
transformation-based providers) wrap a bare response.aiter_lines()
generator in BaseModelResponseIterator, which had no aclose or close at
all, and nothing retained the httpx response object; so
CustomStreamWrapper.aclose() silently did nothing and the upstream
connection stayed open. Verified with a vLLM-style mock: with
hosted_vllm/ the backend streamed all 100 chunks to completion after
the client disconnected, while openai/ aborted at chunk 6

BaseModelResponseIterator now carries an optional http_response and an
aclose() that closes it; make_async_call_stream_helper attaches the
response after building the iterator. With this, hosted_vllm aborts the
backend within ~1.6s of the client dropping, and completed streams are
unaffected

---------

Co-authored-by: kursad <kursad.lacin@brado.net>

* feat(anthropic): surface compaction usage iterations data (#27065)

* feat(anthropic): surface compaction usage iterations data

* style: apply black formatting to fix lint checks

* fix(usage): correct calculate usage with cached tokens when use ChatCompletionUsageBlock (#30422)

* fix(usage): correct calculate usage with cached tokens when use ChatCompletionUsageBlock

* fix(usage): optimize test imports

* feat: add fastCRW search provider (#30434)

* feat(provider): add LibertAI as a JSON-configured OpenAI-compatible provider (#30203)

* feat(provider): add LibertAI as a JSON-configured OpenAI-compatible provider

* libertai: update served endpoints backup + add mode/matrix tests

Addresses review feedback:
- Add libertai to litellm/provider_endpoints_support_backup.json, the file
  actually served by GET /public/supported_endpoints (the root
  provider_endpoints_support.json already had it).
- Add tests asserting bge-m3 normalizes to mode='embedding' and that the
  served matrix lists libertai. embeddings stays false: the JSON-configured
  provider path only wires chat routing (OpenAILike embedding handler is
  reached only for literal openai_like/llamafile/lm_studio), matching the
  llamagate precedent; bge-m3 remains in the cost map for metadata.

---------

Co-authored-by: Moshe Malawach <moshemalawach@users.noreply.github.com>

* feat(provider): add ModelScope as an OpenAI-compatible provider (#28460)

* add ModelScope API support

* add modelscope api support

* update modelscope model list

* add image-genetation support

* update test and multimodal

* fix: address PR review feedback for modelscope provider

* update README

* fix(customer_endpoints): restrict /customer/daily/activity to admin-only (#28849)

* fix(customer_endpoints): restrict /customer/daily/activity to admin-only

* fix(customer_endpoints): check role before prisma_client guard

* fix(custom_guardrail): key disable_global_guardrails takes precedence over team guardrail list (#28563)

* fix(fallbacks): preserve fallback model in SDK fallback responses (#28260)

* fix(fallbacks): preserve fallback model in response when using SDK-level fallbacks

* fix(fallbacks): gate x-litellm-* passthrough to trusted callers only

The previous patch unconditionally let `x-litellm-*` keys bypass the
`llm_provider-` prefix in `process_response_headers`. That function is
also called on raw upstream-provider response headers (e.g. from
`llm_http_handler.py`), so a malicious provider could return
`x-litellm-attempted-fallbacks` and spoof a LiteLLM-internal marker,
bypassing the proxy model-override guard.

Add a `preserve_litellm_internal_headers` flag (default False). Only
`response_metadata.py`, which re-processes the already-built
`_hidden_params["additional_headers"]` dict (LiteLLM-owned), passes
True. Raw provider header callsites keep the default False, so upstream
`x-litellm-*` still gets the `llm_provider-` prefix.

Adds a regression test for the spoofing case and renames the existing
preserve test to make the trusted-path semantics explicit.

* fix(fallbacks): ignore preserve_litellm_internal_headers for raw httpx.Headers inputs

* style(core_helpers): apply black formatting

* fix(lint): remove banned typing.List/Dict/Any imports and suppress PLR0913 on interface overrides

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

* fix(lint): apply black formatting to modelscope chat transformation

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

* fix(lint): replace noqa with proper fixes — use **kwargs and Awaitable instead of Any/List

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

* fix(lint): remove unused AllMessageValues import

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

* revert: restore base_model_iterator.py to original PR state

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

* fix(lint): restore full method signatures for MyPy compatibility; bump PLR0913 budget for new provider files

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

* fix(lint): use @override to suppress PLR0913 on inherited signatures instead of bumping budget

The overrides keep their full base-class signatures for MyPy compatibility, but those signatures carry more than five parameters, which tripped PLR0913 on each subclass redeclaration. Since the arity is dictated by the base class and cannot be reduced, decorate the overrides with typing_extensions.override; ruff treats that as the intended signal that the parameter count is not under the author's control and skips PLR0913. This restores the PLR0913 baseline to 1813.

* fix(lint): add @override to modelscope image generation overrides

Apply the same typing_extensions.override treatment to the image generation config so its inherited-signature overrides do not count against PLR0913.

---------

Co-authored-by: Joel Tony <github@jaytau.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: hcl <chenglunhu@gmail.com>
Co-authored-by: ztko <96878659+koztkozt@users.noreply.github.com>
Co-authored-by: Nahrin <nahrin@nahrinoda.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Humphrey <a739376838@gmail.com>
Co-authored-by: kursadlacin <kursadlacin@gmail.com>
Co-authored-by: kursad <kursad.lacin@brado.net>
Co-authored-by: Dushyant Acharya <dushyantacharya873@gmail.com>
Co-authored-by: Yuriy <yuriy.shuyskiy@gmail.com>
Co-authored-by: Recep S <22618852+us@users.noreply.github.com>
Co-authored-by: Moshe Malawach <moshe.malawach@protonmail.com>
Co-authored-by: Moshe Malawach <moshemalawach@users.noreply.github.com>
Co-authored-by: Rongkun Yan <2493404415@qq.com>
Co-authored-by: Varshith <kvarshithgowda@gmail.com>
Co-authored-by: Mateo Wang <277851410+mateo-berri@users.noreply.github.com>

* ci(lint): add blanket-noqa, dataclass-default, and unused-noqa Ruff rules (#30516)

* ci(lint): enforce blanket-noqa, dataclass-default, and unused-noqa rules

Enable PGH004 (blanket-noqa), RUF008 (mutable-dataclass-default),
RUF009 (function-call-in-dataclass-default-argument), and RUF100
(unused-noqa) in ruff.toml, and clean up every resulting violation.

RUF008/RUF009 were already clean. PGH004/RUF100 surfaced ~335 stale or
blanket noqas: blanket `# noqa` are now scoped to the rule they actually
suppress (mostly T201), dead directives are removed, and inapplicable
codes are trimmed (e.g. F401 dropped from `import *`).

lint.external lists rules enforced outside this config (the strict-rule
gate via ruff-strict.toml and upstream litellm's own ruff config) so
RUF100 keeps the noqa directives that protect them instead of stripping
coverage this config can't see.

* ci(lint): trim RUF100 external list to load-bearing codes only

Drop the 9 precautionary strict-gate codes (ANN001/002/003/401, B006,
PLR0913, PLW0603, RUF012, TID251) that have zero `# noqa` references in
the gated source. Keep only the 11 codes with live suppressions so
RUF100 doesn't flag them as unused. Future strict-gate suppressions can
re-add codes here (or fix the underlying issue) as needed.

* ci: ratchet lint and type-check gates (ruff preview, ANN, mypy, basedpyright) (#30379)

* ci: enable ruff preview rules under the budgeted strict gate

Turn on ruff preview in the strict-budget lane (ruff-strict.toml) only,
leaving the clean gate (ruff.toml) untouched so make lint-ruff stays at
zero. Enumerate the 118 firing codes explicitly with
explicit-preview-rules so the gate is deterministic and stable across
ruff upgrades rather than depending on preview auto-selecting the broad
catalog.

Grandfather the existing 58438 violations into ruff-strict-budget.json
as per-rule baselines with headroom, so only net-new violations fail CI.
The existing ten rules keep their hand-tuned slack; the new rules get
slack 10 when the baseline is 50 or more and 3 otherwise.

* ci: add ANN return-type rules to the budgeted strict gate

Add ANN201/202/204/205/206 (missing return annotations) to the strict
lane and grandfather the existing counts into ruff-strict-budget.json so
the codebase ratchets toward explicit return types without breaking CI.

* ci: add mypy (disallow_untyped_defs) and basedpyright strict gates with baselines

Add two type-check gates, each grandfathering the current tree so only
net-new violations fail CI, matching the ruff strict-budget ratchet.

mypy gains disallow_untyped_defs in litellm/mypy.ini (the config the CI
invocation actually reads; the root [tool.mypy] is not picked up from the
litellm/ working dir). The 4885 existing missing-annotation errors are
captured in litellm/.mypy-baseline.txt and the run is piped through
mypy-baseline filter so new untyped defs are rejected.

basedpyright runs in strict mode over litellm/, with
enableTypeIgnoreComments disabled so it only honors '# pyright: ignore'
and never polices mypy's '# type: ignore'. The existing strict diagnostics
are grandfathered into .basedpyright/baseline.json.

Both tools are pinned in the dev group and uv.lock; the lint workflow and
Makefile run them filtered through their baselines, with
lint-mypy-baseline-update and lint-basedpyright-baseline-update to ratchet.

* ci: raise lint job timeout to 15m for the basedpyright strict pass

* ci: pin pythonVersion 3.12 and regenerate baselines against merged base

Merge litellm_internal_staging so the baselines cover code the CI merge
includes (e.g. the cisco_ai_defense guardrail), which otherwise tripped
the mypy gate with 3 ungrandfathered no-untyped-def errors. Pin
pythonVersion 3.12 in pyrightconfig so basedpyright's strict analysis is
reproducible across interpreter versions (CI runs 3.12).

* ci: regenerate basedpyright baseline against the frozen lint env

The previous baseline was generated with optional provider deps (azure,
google, anthropic, mcp, numpydoc, google-genai) installed locally, so CI's
dev-only env surfaced ~3500 reportUnknown*/reportMissingTypeStubs errors
not in the baseline. Regenerate after uv sync --frozen so the baseline
reflects the same dependency set the lint job sees.

* ci: regenerate basedpyright baseline on python 3.12 frozen env

The prior baseline still carried proxy-dev packages (e.g. prisma) that the
lint job's dev-only, python 3.12 env lacks, leaving 2 unresolved-import
errors ungrandfathered. Regenerate in a python 3.12 venv synced to the
frozen lock with default groups only, so the baseline matches exactly what
CI sees.

* ci: replace type-check baselines with per-file count budgets

The mypy and basedpyright baselines were position-sensitive (and the
basedpyright one was a 27MB file), so ordinary line shifts churned them.
Replace both with a per-file count gate: scripts/type_check_gate.py reduces
each tool's output to errors-per-file and checks it against a committed
{file: max} budget, ignoring line and column numbers. A file fails only
when it gains more errors than its ceiling; debt can't be shuffled between
files because each file has its own cap and new files default to zero.

Budgets (mypy-file-budget.json 48K, basedpyright-file-budget.json 96K) are
generated in the python 3.12 frozen lint env so they match CI. Drops the
mypy-baseline dependency; basedpyright runs without its native baseline.
ratchet via make lint-mypy-budget-update / lint-basedpyright-budget-update.

* ci: add a small per-file slack to the type-check gate

Allow each file to drift PER_FILE_SLACK (5) errors past its recorded count
before failing, so a basedpyright inference ripple in an unrelated file
doesn't break the build over a couple of errors. Budgets still record exact
counts; the tolerance is applied at check time.

* ci: move type-check slack into the budget json and trim lint timeout

Make slack declarative: the budget is now {"slack": N, "files": {path: count}}
so the tolerance is tuned in JSON without editing the script, mirroring how
ruff-strict-budget.json carries its slack. --update preserves the existing
slack. Also drop the lint job timeout from 15m to 10m; the mypy and
basedpyright passes add ~2m, leaving the job around 4-5m, so 10m is a
comfortable margin.

* ci: collapse fully-adopted ruff categories and drop inert preview flag

ANN (all nine non-removed rules) and BLE (its only rule) were spelled out
code-by-code; replace each with its category selector, which is exactly
equivalent in 0.15.3 (the removed ANN101/ANN102 are skipped by a category
selector and error when named explicitly). explicit-preview-rules was inert:
every selected rule is stable and nothing is selected by category, so the flag
had nothing to gate. Verified the strict-rule counts are identical before and
after (62379 each, zero per-rule drift), so no budget change.

* ci: drop redundant pyright dev dependency

Nothing invokes bare pyright in the Makefile, the linting workflow, or
scripts; the basedpyright gate added on this branch is the only type
checker that runs. basedpyright is a superset fork that reads the same
pyrightconfig.json and honors the same "# pyright: ignore" comments, so
pyright==1.1.408 in the ci group was dead weight. Regenerated uv.lock
under the same exclude-newer cutoff so the only change is removing
pyright and its package stanza

* ci: un-weaken mypy and error on Any in basedpyright

mypy: enable warn_return_any, drop the valid-type silencer, and stop globally ignoring missing first-party imports via [mypy-litellm.*] ignore_missing_imports = False, which surfaced eight real broken litellm.* imports the blanket ignore was hiding; third-party imports stay ignored. The per-file budget moves 4888 -> 5799 (902 no-any-return, 1 valid-type, 8 import-not-found), all grandfathered so only net-new errors fail and the ceilings ratchet down

basedpyright: error on reportExplicitAny and reportAny. The per-file budget moves 117033 -> 148946 (6931 explicit-Any, 24954 Any-typed expressions), grandfathered the same way

* ci: add Any-discipline gate on changed lines under litellm/

Add scripts/check_any_discipline.py, a type-aware gate that fails when a
changed line holds a value typed Any -- including the X | Any unions that
mypy --strict / basedpyright accept (e.g. re.Match.group() -> str | Any,
json.loads() -> Any, bare dict -> dict[Any, Any]).

It reuses the repo's mypyc-compiled mypy 1.19 via a custom generic AST
walker (mypyc precludes subclassing TraverserVisitor), loads litellm/mypy.ini
for parity with lint-mypy, and uses a dedicated incremental cache
(.mypy_cache_any) with mtime+hash invalidation to force re-checks. Scope is
changed-lines-only so editing a legacy file never forces cleaning its
existing Any debt; suppress a genuine typed/untyped boundary with
# any-ok: <reason> (ANY002 requires the reason).

Wire it into the Makefile (lint-any, lint, lint-dev), a parallel
any-discipline CI job with its own actions/cache, .gitignore, and the
CLAUDE.md / CONTRIBUTING.md docs.

* ci: move Any-gate codes into the shared LIT namespace

Renumber the Any-discipline checker into the LIT*** scheme owned by
scripts/check_type_discipline.py (PR #30500) so the two checkers share one
rule namespace and suppression convention:

  ANY001 -> LIT002  (Any-typed value; LIT002 was the retired/free slot)
  ANY002 -> LIT005  (any-ok without a reason; the shared suppression-reason code)
  ANY000 -> LIT000  (setup/build/read error; the shared error code)

Messages and behavior are unchanged; LIT005's text already matches the
"<token> requires a reason" shape used for cast-ok/guard-ok.

* ci: gate mypy and basedpyright per error rule, not per file

Switch the mypy/basedpyright budget gate from per-file error counts to
per-rule-code totals, mirroring the {rule: {baseline, slack}} shape of
ruff-strict-budget.json. A rule fails when its codebase-wide error count
exceeds baseline + slack, so violations are tracked by category rather
than by file location.

scripts/type_check_gate.py now parses mypy from its text output (trailing
[code]) and basedpyright from --outputjson (the JSON `rule` field), since
basedpyright's wrapped text diagnostics mis-attribute the rule on
continuation lines. Replace the *-file-budget.json files with freshly
captured *-code-budget.json baselines and update the Makefile, CI, and
CLAUDE.md accordingly.

* docs: prefer Pydantic validation over any-ok suppression

Point the Any-discipline guidance at validating Any with Pydantic (a model
or TypeAdapter that returns a typed value or raises) and frame
# any-ok as a last resort that should ideally never be used.

* chore: remove extraneous comment

* chore: make the CLAUDE.md more concise

* chore: clean up bloated CONTRIBUTING.md additions

* chore: make Makefile more concise

* ci: add the lint-budget-update target CLAUDE.md references

CLAUDE.md tells contributors to run make lint-budget-update, but the
target was never defined. Add it as an aggregate that re-captures the
ruff, mypy, and basedpyright budgets in one shot.

* ci: recapture mypy and basedpyright budgets in the lint env

The per-rule baselines were captured in a richer dependency env than the
CI lint job's uv sync --frozen, so CI resolved fewer types and reported
more errors than the budgets allowed (no-any-return 902 over cap 900, plus
several basedpyright reportUnknown* rules). Regenerate both in the frozen
env so they grandfather the true CI debt: mypy 5786 -> 5799 (no-any-return
890 -> 902, valid-type 1 restored), basedpyright 146213 -> 148942.

* ci: check out PR head sha in lint and any-discipline jobs

The default pull_request checkout uses refs/pull/N/merge, which folds the
latest base commits into HEAD. The diff-based gates (ruff delta, Any
discipline) then diff against the event's older base.sha and blame base's
own new commits on this branch; staging's otel-v2 and streaming changes
(#30326, #30485) tripped the Any gate on files this branch never touched.
Checking out the PR head sha makes the gates diff the real branch tip
against base, and pins the tree the mypy/basedpyright budgets were captured
against so their counts stay deterministic as the base advances.

* ci(lint): renumber Any-typed-value rule LIT002 -> LIT009

Free up LIT002 for the sibling type-discipline gate (check_type_discipline.py,
#30500), which groups its mutable-collection family at LIT001 (annotation) and
LIT002 (construction). This gate's Any-typed-value rule moves to LIT009 so the
shared LIT namespace stays contiguous with no holes; LIT000 and LIT005 are
unchanged.

* style: rename lint-strict-budget -> lint-ruff-budget

* ci: harden type-check gates against silent passes (greptile review)

type_check_gate.py: refuse to certify a vacuous run. The CI pipe swallows
the tool's exit code ('tool || true'), so a crashed mypy/basedpyright that
emits nothing would parse to zero errors, breach no ceiling, and pass.
is_vacuous_run() now fails when nothing was parsed but the budget expects
errors. Also wrap basedpyright's json.loads in a JSONDecodeError handler
that prints the offending output instead of dumping a raw traceback.

check_any_discipline.py: ALL_LINES was None, which dict.get() also returns
for a path absent from the line map, so a path-normalisation mismatch could
let a violation on an unchanged file pass the scope filter. Make ALL_LINES a
distinct sentinel object so 'whole file' and 'path missing' are unambiguous.

Adds tests for all three.

---------

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: Joel Tony <github@jaytau.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: hcl <chenglunhu@gmail.com>
Co-authored-by: ztko <96878659+koztkozt@users.noreply.github.com>
Co-authored-by: Nahrin <nahrin@nahrinoda.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Humphrey <a739376838@gmail.com>
Co-authored-by: kursadlacin <kursadlacin@gmail.com>
Co-authored-by: kursad <kursad.lacin@brado.net>
Co-authored-by: Dushyant Acharya <dushyantacharya873@gmail.com>
Co-authored-by: Yuriy <yuriy.shuyskiy@gmail.com>
Co-authored-by: Recep S <22618852+us@users.noreply.github.com>
Co-authored-by: Moshe Malawach <moshe.malawach@protonmail.com>
Co-authored-by: Moshe Malawach <moshemalawach@users.noreply.github.com>
Co-authored-by: Rongkun Yan <2493404415@qq.com>
Co-authored-by: Varshith <kvarshithgowda@gmail.com>

* chore: satisfy strict-rule and any-discipline gates for the staging bundle

The strict-rule budget and any-discipline gates added in #30379 flag the
bundle's new lines: blind-except (BLE001), legacy typing imports
(UP006/UP035/UP045), and values typed Any on changed lines (LIT009).

Type-fix the cleanly-fixable cases (function signatures, payload dicts as
dict[str, object], BudgetConfig.model_validate over **kwargs, direct
KeyManagementSettings attribute access over getattr, Optional[X] -> X | None)
and suppress the irreducible untyped boundaries (request/streaming dicts,
cache reads, httpx responses, asyncio primitives, Pydantic model_dump
navigation) with # any-ok and a short reason.

Also fix two any-discipline gate false positives so legitimate code is no
longer flagged: the synthetic Any in Coroutine/Generator send and yield
protocol slots (the awaited/returned value is still checked), and the
special-form Any of a TypedDict field's TempNode rvalue placeholder.

* chore: extend basedpyright slack to the two rules #30563 left at default

PR #30563 raised basedpyright slack to ~10% of baseline across the noisy reportUnknown*/reportAny family so staging bundles clear the per-rule gate, but it left reportArgumentType (slack 3) and reportPrivateUsage (slack 10) at their original tight values. This bundle pushes those two 10 and 1 over their caps respectively, so apply the same ~10% policy: reportArgumentType baseline 1863 -> slack 180, reportPrivateUsage baseline 1625 -> slack 160. No baselines move; only the slack on these two rules

* fix: handle duplicate tool calls and stream tail disconnects

* fix(proxy): mark stream completed before tail yields, not after [DONE]

Clients routinely close the connection right after the final chunk or the
terminating data: [DONE] frame. Setting stream_completed only after those
trailing yields made the GeneratorExit from that close fall into the
disconnect branch, recording false 499 client_disconnected metadata for a
response that already delivered all content and fired success logging, and
double-releasing the max_parallel_requests slot the success callback had
already released. Restore stream_completed before the trailing raw-SSE,
error, and [DONE] yields so terminal-marker closes are treated as the
successful completions they are. The tool_use dedupe guard is kept.

---------

Co-authored-by: apshada <49001649+apshada@users.noreply.github.com>
Co-authored-by: Aarkin Karnik <56022539+Aarkin7@users.noreply.github.com>
Co-authored-by: David Bochenski <david@goincremental.com>
Co-authored-by: Cai Songrui <1922909737@qq.com>
Co-authored-by: Martin Honermeyer <7229+djmaze@users.noreply.github.com>
Co-authored-by: songkuan-zheng <252822057+songkuan-zheng@users.noreply.github.com>
Co-authored-by: fangkang <fangkangm@gmail.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: Michael <52305679+michaelxer@users.noreply.github.com>
Co-authored-by: michaelxer <michaelxer@users.noreply.github.com>
Co-authored-by: Anuj ojha <ojhaanuj224@gmail.com>
Co-authored-by: 安妮的心动录 <74543653+anneheartrecord@users.noreply.github.com>
Co-authored-by: Zekeriya Akgül <zkry.akgul@gmail.com>
Co-authored-by: Thomas Menard <menardorama@gmail.com>
Co-authored-by: Zang Peiyu <166481866+factnn@users.noreply.github.com>
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: Mark Lopez <m@silvenga.com>
Co-authored-by: Varshith <kvarshithgowda@gmail.com>
Co-authored-by: Huynh Duc Tran <110240973+hdt12a1@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Samarth Maganahalli <samarth.maganahalli@rubrik.com>
Co-authored-by: Dushyant Acharya <dushyantacharya873@gmail.com>
Co-authored-by: Dushyant Acharya <dushyantacharya@Dushyants-MacBook-Pro.local>
Co-authored-by: Thijmen Stavenuiter <thijmenstavenuiter@gmail.com>
Co-authored-by: Vineeth Sai <vineethsai4444@gmail.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Mateo Wang <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: rvishwas26 <rvishwas@athenahealth.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
Co-authored-by: Joel Tony <github@jaytau.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: hcl <chenglunhu@gmail.com>
Co-authored-by: ztko <96878659+koztkozt@users.noreply.github.com>
Co-authored-by: Nahrin <nahrin@nahrinoda.com>
Co-authored-by: Humphrey <a739376838@gmail.com>
Co-authored-by: kursadlacin <kursadlacin@gmail.com>
Co-authored-by: kursad <kursad.lacin@brado.net>
Co-authored-by: Yuriy <yuriy.shuyskiy@gmail.com>
Co-authored-by: Recep S <22618852+us@users.noreply.github.com>
Co-authored-by: Moshe Malawach <moshe.malawach@protonmail.com>
Co-authored-by: Moshe Malawach <moshemalawach@users.noreply.github.com>
Co-authored-by: Rongkun Yan <2493404415@qq.com>
2026-06-16 18:23:13 -07:00
Yassin Kortam
a992ed18df
feat(spend_logs): opt-in native Postgres partitioning for SpendLogs retention (#29466)
High-volume deployments see LiteLLM_SpendLogs grow unbounded because
retention via DELETE leaves dead tuples that autovacuum cannot reclaim
fast enough. With a range-partitioned table, retention drops whole
partitions instead: an instant metadata operation that returns disk to
the OS immediately.

The feature is gated behind general_settings.use_spend_logs_partitioning
(default false). With the flag off, the cleanup job never queries the
catalog and behaves exactly as today. With it on, the job verifies the
table is partitioned, pre-creates upcoming partitions, and drops expired
ones; expired rows the drops cannot reach (DEFAULT partition, partitions
spanning the cutoff) are still deleted row-wise so retention is never
bypassed. If the table is not partitioned it falls back to batched
DELETE only.

Converting an existing table is a manual, documented operation in
db_scripts/partition_spend_logs.sql; db_scripts/unpartition_spend_logs.sql
rolls it back. Both scripts rename the old table's indexes aside before
recreating them, since a table rename keeps the schema-unique index names
and would otherwise silently skip the CREATE INDEX IF NOT EXISTS block.

Granularity and pre-create lookahead are tunable via
SPEND_LOG_PARTITION_INTERVAL (day/week/month, invalid values fall back to
day) and SPEND_LOG_PARTITION_PRECREATE_AHEAD.
2026-06-11 11:02:42 -07:00
Yassin Kortam
da9d64b4de
fix(proxy): return 5xx on DB infra errors during auth; reserve 401 for genuine auth failures (#29986) 2026-06-10 23:48:11 +00:00
michelligabriele
f9293d40c4
fix(proxy): self-heal startup/reload prisma reads on engine disconnect (#28803) 2026-06-10 20:16:58 +02:00
Sameer Kankute
95e3d136e1
test(google): add google-genai SDK proxy integration tests (#29781)
* test(google): add google-genai SDK proxy integration tests for Gemini and Vertex

Pin google-genai in the CI dependency group and exercise streaming/non-streaming
generate_content through the LiteLLM proxy in the existing unified_google_tests suite.

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

* fix(test): address Greptile review for google-genai proxy SDK tests

Restore GOOGLE_APPLICATION_CREDENTIALS after the module proxy fixture tears down,
initialize temp-file tracking on the proxy SDK base class, and skip litellm reload
for proxy_genai_sdk tests so the module-scoped proxy server stays consistent.

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

* fix(test): only load Vertex credentials when keys exist for proxy SDK tests

Avoid writing empty GOOGLE_APPLICATION_CREDENTIALS temp files so Vertex tests
skip cleanly without credentials, use a session-scoped proxy fixture, and clean up
per-test credential temp files.

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

* chore(test): scope google-genai pin to unified_google_tests only

Remove google-genai from the ci dependency group and pin it in
tests/unified_google_tests/requirements.txt for local test installs.

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

* test(google): tie litellm reload skip to proxy fixture dependency

Replace the name-based reload guard with a check on whether the test
requests the google_genai_proxy_url fixture, so the skip stays correct
if the proxy SDK tests are renamed.

* fix(test): stop DatabaseURLSettings tests leaking DATABASE_URL into os.environ

The autouse env scrubber relied on monkeypatch.delenv, but apply_to_env
writes DATABASE_URL straight into os.environ, which monkeypatch never
tracks and therefore never undoes. The synthesized writer.example.com URL
leaked past the last test in this module and into proxy-infra tests that
read DATABASE_URL to decide whether to hit a real database, e.g.
test_deprecated_key_grace_period_cache_hit_path, turning an intended skip
into a ConnectError. Snapshot and restore the managed vars directly so the
original environment is reinstated regardless of how it was mutated.

* test(google): drop redundant per-test vertex credential setup

The session-scoped google_genai_proxy_url fixture already configures
GOOGLE_APPLICATION_CREDENTIALS before the proxy starts, and
_require_proxy_sdk skips when credentials are missing, so the per-test
_setup_vertex_credentials_if_needed helper and its temp-file tracking
never did any work. Remove it to keep the ABC self-contained.

* test(google): declare model_config contract on proxy SDK ABC

_skip_reason_if_credentials_missing reads self.model_config to pick the
provider, but that property was only declared on the sibling
BaseGoogleGenAITest. Make the dependency explicit by adding model_config
as an abstract property on BaseGoogleGenAIProxySDKTest so the ABC is
self-contained and a standalone subclass fails fast instead of hitting an
AttributeError.

* test(google): narrow streaming error catch to Exception

Catching BaseException in the streaming assertion swallowed
KeyboardInterrupt and SystemExit, turning a Ctrl-C into a test failure
message instead of letting pytest interrupt cleanly. Only genuine runtime
errors should be recorded as stream failures, so catch Exception.

* test(google): initialize proxy on the same loop that serves it

The proxy was initialized via asyncio.run() on the main thread, which
creates and tears down a throwaway event loop, while requests were served
on a separate loop in the worker thread. Any asyncio primitive bound to
the init loop would be unusable once serving started. Run initialize()
on the worker thread's loop right before server.serve() so setup and
request handling share a single event loop.

* test(google): drop redundant google-genai requirements pin

google-genai>=1.37.0,<2.0 is already declared in the proxy-runtime extra,
which the google_generate_content_endpoint_testing CI job installs via
uv sync --all-extras. The standalone tests/unified_google_tests/requirements.txt
duplicated that pin with a narrower ==1.37.0 specifier and was never
installed by CI, so it added a second source of truth without changing
what gets installed. Drop it and rely on the proxy-runtime extra.

* chore: revert incidental uv.lock exclude-newer bump

The google-genai ci pin was added and then dropped (it is already
provided by the proxy-runtime group), but each uv lock recomputed the
relative exclude-newer span, leaving only a timestamp bump in uv.lock.
Restore it to the base value so this test-only PR carries no lockfile
change.

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
2026-06-05 21:05:32 +00:00
Yassin Kortam
014cb8fa9d
feat: add componentized proxy deployment with gateway, backend, ui, and migrations (#27557)
Split the monolithic LiteLLM proxy into independently scalable Kubernetes components to allow separate horizontal scaling of the LLM data plane and management API surfaces

- Add DatabaseURLSettings pydantic-settings model that assembles DATABASE_URL (and optional DATABASE_URL_READ_REPLICA) from discrete DATABASE_* env vars before Prisma initializes, supporting both IAM token auth (minting short-lived RDS tokens) and password auth; replaces the CLI-only path that componentized entrypoints bypass
- Add gateway component (port 4000) that trims the proxy route table to the LLM data-plane surface (chat, embeddings, completions, audio, realtime, provider passthroughs, health/metrics) via an allowlist applied inside the lifespan context so plugin-registered routes are captured
- Add backend component (port 4001) that exposes the management/admin surface (keys, users, teams, orgs, spend analytics, model management, SSO, audit logs) with a complementary allowlist
- Add ui component — Next.js static export served by nginx (port 3000) with RSC payload routing, asset prefix aliasing, and SPA fallback for dashboard routes
- Add migrations component with dedicated Dockerfile that runs prisma migrate deploy via a Helm pre-install/pre-upgrade Job, eliminating per-pod schema contention on the Prisma advisory lock
- Add Helm chart (helm/litellm) with separate Deployments, Services, HPAs, and ConfigMap for each component; shared _helpers.tpl emits DATABASE_*, IAM_TOKEN_DB_AUTH, REDIS_*, and DISABLE_SCHEMA_UPDATE env vars from chart values; ingress template routes traffic to the correct component by path prefix
- Add comprehensive tests for DatabaseURLSettings covering IAM auth, password auth, read replica fallbacks, operator-pinned URL preservation, and percent-encoding; add coverage test asserting gateway + backend allowlist union equals the full proxy route set
- Add pydantic-settings>=2.14.1 as a proxy extra dependency and update liccheck allowlist

Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu>
2026-05-16 09:25:17 -07:00
Sameer Kankute
ce17e9490f
Merge branch 'litellm_internal_staging' into litellm_agent_oss_staging_05_06_2026 2026-05-11 09:07:08 +05:30
Yassin Kortam
b5d3a5fc85
feat: add read-replica routing for Prisma DB via DATABASE_URL_READ_REPLICA (#27493)
Some checks are pending
Unit Tests: Caching (Redis) / caching-redis (push) Waiting to run
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 / custom-logging (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
- Introduce RoutingPrismaWrapper that transparently routes read operations (find_*, count, group_by, query_raw, query_first) to a reader endpoint while writes remain on the writer, enabling Aurora-style reader/writer endpoint splits
- Add IAMEndpoint dataclass and parse_iam_endpoint_from_url() to capture static connection fields from a reader URL so only the IAM token needs to rotate, avoiding the need for separate DATABASE_HOST_READ_REPLICA/etc. env vars
- Enhance PrismaWrapper with per-instance knobs (db_url_env_var, iam_endpoint, recreate_uses_datasource, log_prefix) so writer and reader wrappers are independent: the reader writes its fresh URL to DATABASE_URL_READ_REPLICA and passes datasource override to Prisma since Prisma only auto-reads DATABASE_URL
- Fix deadlock in PrismaWrapper.__getattr__: when called from inside a running event loop, schedule the token refresh as a background task instead of blocking with run_coroutine_threadsafe + future.result(), which would deadlock the loop thread waiting for a coroutine that needs the loop to run
- Fix botocore crash when DATABASE_PORT is unset by defaulting to "5432" in both proxy_cli.py and PrismaWrapper.get_rds_iam_token(); passing None caused botocore to embed the literal string "None" in the presigned URL
- Implement graceful reader degradation: reader connect/recreate failures are non-fatal; wrapper sets _reader_unavailable=True and silently routes reads to the writer to keep the proxy serving traffic during transient reader outages
- Add PrismaClient.writer_db property so the reconnect smoke-test always validates the writer engine specifically; query_raw on the routing wrapper would route to the reader and not verify the newly-recreated writer
- Expose DATABASE_URL_READ_REPLICA in Helm chart (values.yaml + deployment.yaml) via both plain value and secret key reference, and document the field in docker-compose.yml
- Add 887-line test suite covering routing logic, IAM token refresh paths, reader degradation scenarios, datasource override behavior, and the deadlock regression

Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu>
2026-05-08 21:05:50 -07:00
oss-pr-review-agent-shin[bot]
ed7ded9e77
Merge PR #27221 into agent staging branch 2026-05-06 00:09:29 +00:00
pnookala-godaddy
209bd0b906 fix(proxy): sort spend updates to prevent DB deadlocks
Iterate user/key/team/team_member/org/end_user/tag spend dicts in sorted
order inside each Prisma transaction so concurrent pods acquire row locks
in the same order, avoiding PostgreSQL deadlocks under load.
2026-05-05 13:49:19 -07:00
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
Yuneng Jiang
4f6192a49e Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_dbReconnectNonBlocking_local
# Conflicts:
#	tests/test_litellm/proxy/db/test_prisma_self_heal.py
2026-04-29 13:57:35 -07:00
Yuneng Jiang
aa2ef41200 fix(proxy): preserve original transport error if reconnect itself raises
Greptile review on #26756 (P2): if `attempt_db_reconnect` itself raises
(e.g. lock cancellation, timer error, unexpected internal failure), the
original `httpx.ReadError` / transport error was lost — `failure_handler`
and `db_exceptions` alerts then logged the reconnect exception instead of
the actual DB transport problem, masking the root cause.

Wrap the reconnect call in a try/except. On reconnect failure, re-raise
the *original* `first_exc` and chain the reconnect error as `__cause__`
so it remains visible for debuggability without becoming the primary
exception observers see.

Adds `test_call_with_db_reconnect_retry_preserves_original_error_when_reconnect_raises`
asserting (a) the propagated exception is the original transport error
and (b) the reconnect exception is attached as `__cause__`.
2026-04-28 23:55:46 -07:00
Yuneng Jiang
1c9c219a74 fix(proxy): self-heal Prisma read paths + harden reconnect state machine
Two related fixes layered on top of the existing reconnect plumbing:

1. Restore reconnect-and-retry on `PrismaClient.get_generic_data` (issue
   #25143). 1.83.x lost the transport-reconnect-and-retry-once branch that
   1.82.6 had on this method, so transient `httpx.ReadError` flaps now
   surface immediately as `db_exceptions` alerts. `_update_config_from_db`
   fans out four concurrent `get_generic_data` reads, so a single transport
   blip used to mark four alerts and a stale config window.

   Adds `call_with_db_reconnect_retry` to `litellm/proxy/db/exception_handler.py`
   — a single canonical "try DB read, on transport error reconnect once and
   retry once" wrapper. Mirrors the inline pattern in
   `auth_checks._fetch_key_object_from_db_with_reconnect` so we have one
   implementation rather than three drifting copies, and gives future read
   paths a clean opt-in.

2. Fix the `_engine_confirmed_dead` flag-reset bug in
   `_run_reconnect_cycle`. The flag was cleared before `_do_heavy_reconnect()`
   ran, so any failure inside the heavy reconnect (timeout, missing
   DATABASE_URL, recreate failure) left the flag False — and the next
   attempt could silently demote to the lightweight path even though the
   engine was genuinely dead. Move the reset into the success branch so the
   flag stays True across heavy-reconnect failures and the next attempt
   re-enters the heavy branch.

Tests:

- `tests/test_litellm/proxy/db/test_exception_handler_reconnect_retry.py`
  (new) — 9 tests covering the helper's contract: happy path, retry on
  transport error, no retry on data-layer errors, propagation when reconnect
  fails, propagation after second transport error, `hasattr` guard for
  partial mocks, fresh-coroutine-per-call invariant, explicit timeout
  override, default timeouts read off the prisma_client.
- `tests/test_litellm/proxy/db/test_prisma_self_heal.py` — adds:
  - `test_get_generic_data_retries_on_transport_error_for_config_table`
  - `test_get_generic_data_propagates_when_reconnect_fails`
  - `test_engine_confirmed_dead_persists_across_failed_heavy_reconnect`
    (regression test for the flag-reset bug).

All 16 self-heal tests + 9 helper tests + 535 auth/exception-handler tests
pass locally.
2026-04-28 23:44:34 -07:00
Yuneng Jiang
8c91c8b2c4 Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_dbReconnectNonBlocking 2026-04-28 23:29:36 -07:00
ryan-crabbe-berri
c4c1861389
Merge pull request #26195 from BerriAI/litellm_team_member_total_spend
Track per-member total spend on team memberships
2026-04-22 18:20:16 -07:00
Yuneng Jiang
288d403529
[Fix] Preserve in-memory spend updates when Redis rpush fails
store_in_memory_spend_updates_in_redis drained the in-memory queues
into local variables before the rpush pipeline. If rpush raised (cloud
Redis hiccup, timeout, connection blip), those already-drained
transactions were garbage-collected with the scheduler job, silently
losing all spend aggregated during that tick.

Wrap the rpush in try/except. On failure, re-enqueue the aggregated
transactions into their respective in-memory queues so the next
scheduler tick retries.

Add a unit test that seeds real queues, simulates an rpush failure,
and asserts the transactions land back in-memory.
2026-04-22 14:10:40 -07:00
Yuneng Jiang
fbcdacc446
[Fix] Proxy: reconnect Prisma DB without blocking the event loop
When the DB becomes unreachable the reconnect path calls
`prisma.disconnect()`, which ultimately invokes prisma-client-py's
synchronous `subprocess.Popen.wait()` on the query engine subprocess.
That call does not yield to asyncio, so the event loop freezes for
however long the Rust engine takes to shut down (30-120+ seconds in
production when the engine is stuck on TCP close). During the freeze
`/health/liveliness` becomes unresponsive, and in Kubernetes the
liveness probe fails and the pod is SIGKILL'd.

Replace `disconnect()` in the reconnect paths with a direct, non-blocking
kill of the engine subprocess (SIGTERM -> 0.5s asyncio-yielding sleep ->
SIGKILL) followed by a fresh Prisma client and a new `connect()`. Both
`recreate_prisma_client` and the formerly-separate "direct reconnect"
path go through the same kill-then-recreate flow.

Also validate `_get_engine_pid` returns an int (defensive; prevents a
MagicMock leak under unit-test mocking).

Tests that encoded the old blocking behavior are updated or removed;
the deleted `test_lightweight_reconnect_skips_kill_on_successful_disconnect`
invariant ("don't kill on successful disconnect") was part of the bug.
2026-04-21 23:29:17 -07:00
Ryan Crabbe
e5f3e15969
Track per-member total spend on team memberships
Adds total_spend column to LiteLLM_TeamMembership that accumulates
continuously and is not zeroed by the budget cycle reset job. This
enables UI surfaces to distinguish current-cycle spend (the existing
spend column, which resets) from lifetime spend per team member.

Also exposes budget_reset_at on LiteLLM_BudgetTable so /team/info
callers can see when a member's budget window next resets. The field
was already stored in the DB but stripped by the response Pydantic
model.

Includes regression tests that:
- Guard the reset job against ever writing total_spend: 0
- Verify the spend writer increments both spend and total_spend in
  one UPDATE statement.
2026-04-21 13:56:44 -07:00
Yuneng Jiang
9c0b73e5f4
[Fix] should_create_missing_views returns False for reltuples=0 (falsy zero bug)
`should_create_missing_views()` had `and result[0]["reltuples"]` which is
falsy when reltuples=0. On a fresh empty PostgreSQL table, CREATE INDEX sets
reltuples=0, causing the guard to return False and skip view creation entirely.
Views like MonthlyGlobalSpendPerKey are never created, and the
/global/spend/logs endpoint returns 500.

Fix: change to `and result[0]["reltuples"] is not None` so reltuples=0
(empty table) and reltuples=-1 (unanalyzed table) both correctly return True.

Also harden test_vertex_ai.py to return None instead of crashing with
JSONDecodeError when the spend-logs endpoint returns a non-JSON 500 response,
and add unit tests covering all three reltuples branches (0, -1, positive).
2026-04-18 11:00:09 -07:00
Ishaan Jaffer
e8461b5b97
style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
Joe Reyna
f92490c308
fix: make PodLockManager.release_lock atomic compare-and-delete (re-land #21226) (#24466)
Some checks are pending
Unit Tests: Proxy DB Operations / proxy-db (auth-checks, tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py, 20, 8) (push) Waiting to run
Unit Tests: Proxy DB Operations / proxy-db (key-generation, tests/proxy_unit_tests/test_key_generate_prisma.py, 30, 0) (push) Waiting to run
Unit Tests: Proxy DB Operations / proxy-db (remaining, tests/proxy_unit_tests --ignore=tests/proxy_unit_tests/test_key_generate_prisma.py --ignore=tests/proxy_unit_tests/test_auth_checks.py --ignore=tests/proxy_unit_tests/test_user_api_key_auth.py, 30, 8) (push) Waiting to run
Unit Tests: Security / security (push) Waiting to run
* fix: make PodLockManager.release_lock atomic compare-and-delete

Re-lands #21226 (reverted in #21469).

release_lock() previously did GET + compare + DEL in separate calls,
leaving a window where another pod could reacquire the lock between
the GET and DEL, causing a stale owner to delete a live lock.

Fix: use a Redis Lua script for atomic compare-and-delete. Script
registration is cached per PodLockManager instance. Falls back to
the old GET+DEL path for cache backends that don't expose
async_register_script.

Original revert was due to e2e tests running in CI without Redis.
Those tests now carry @pytest.mark.skip(reason="Requires Redis connection.")
so this re-land is safe.

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

* fix: add Lua fallback on execution error + test coverage gaps

Address Greptile review feedback on #24466:

1. Wrap Lua script execution in try/except — if Redis clears loaded
   scripts (restart) or scripting is disabled, fall back to GET+DEL
   rather than letting the exception propagate and leave the lock held
   until TTL. Reset cached script handle so the next call re-registers.

2. Add test_release_lock_lua_path_emits_released_event — verifies
   _emit_released_lock_event is called when Lua path returns 1.

3. Add test_release_lock_falls_back_to_get_del_when_lua_execution_fails
   — verifies the fallback path is taken and script handle is reset.

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

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-15 17:33:21 -07:00
yuneng-jiang
b0a40fde6d
Merge pull request #25559 from shreyescodes/fix/cors-and-db-safety-bugs
fix: harden CORS credentials, create_views exception handling, and spend log cleanup loop
2026-04-13 21:17:12 -07:00
shreyes19
e01fe01d35 fix: address Greptile P1 review comments 2026-04-11 21:57:03 +05:30
shreyes19
e079ee779f fix: harden CORS, create_views exception handling, and spend log cleanup loop
- proxy_server.py: disable allow_credentials when allow_origins=['*'] (wildcard
  + credentials is a browser security misconfiguration). Add LITELLM_CORS_ORIGINS
  env var to configure explicit allowed origins.
- create_views.py: narrow broad 'except Exception' to only catch genuine
  'view does not exist' errors; re-raise all other DB errors (auth, connection,
  etc.) that were previously silently swallowed.
- spend_log_cleanup.py: validate execute_raw() return type is int before using
  it as a deletion count; break loop safely on unexpected types to prevent
  infinite deletion loops.
2026-04-11 18:58:04 +05:30
stuxf
a6c30b30bf
build: migrate packaging, CI, and Docker from Poetry to uv (#25007)
* build: migrate packaging metadata to uv

* ci: move automation and local tooling to uv

* docker: migrate image builds and runtime setup to uv

* docs: update install and deployment guidance for uv

* chore: align auxiliary scripts and tests with uv

* test: harden test_litellm isolation

* fix: keep release and health check images self-contained

* build: pin uv tooling and health check deps

* test: isolate bedrock image request formatting from suite state

* test: cover sandbox executor requirements flow

* ci: fix circleci no-op command steps

* ci: fix circleci publish workflow parsing

* fix: stabilize remaining uv migration CI checks

* ci: increase matrix test timeout headroom

* fix: restore published docker and license coverage

* fix: restore proxy runtime build parity

* fix: restore proxy extras parity and venv migrations

* ci: persist uv path across circleci steps

* fix: keep psycopg binary in default test env

* docker: preserve prisma cache across stages

* test: run local proxy checks through uv python

* build: restore runtime deps moved into ci

* build: refresh uv lock after upstream merge

* fix: restore module import in test_check_migration after merge

The conflict resolution imported only the function but the test body
references check_migration as a module throughout.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: revert dependency promotions, remove nodejs-wheel-binaries, fix Docker layer caching

- Move google-generativeai, Pillow, tenacity back to ci group (they are
  lazily imported and bloat the base SDK install needlessly)
- Remove nodejs-wheel-binaries from extra_proxy and proxy-dev (redundant
  in Docker where system Node.js is already installed via apk)
- Remove all nodejs-wheel node replacement and venv npm patching blocks
  from Dockerfiles since the wheel is no longer installed
- Add --no-default-groups to CodSpeed benchmark workflow so the benchmark
  environment matches the old minimal pip install footprint
- Apply standard uv two-phase Docker pattern: copy metadata first, install
  deps (cached layer), then copy source and install project
- Replace CircleCI enterprise no-op with proper uv sync command

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: regenerate uv.lock after removing nodejs-wheel-binaries

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(ci): use cache/restore instead of cache to prevent cache poisoning

The old workflow used actions/cache/restore (read-only). The uv migration
changed it to actions/cache (read-write), which zizmor flags as a cache
poisoning risk. Restore the safer read-only variant.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(ci): disable setup-uv built-in cache to silence cache-poisoning alert

The setup-uv action enables caching by default, which zizmor flags as a
cache poisoning risk. Disable it since we already use a read-only
cache/restore step.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(ci): disable setup-uv cache in publish workflow

Silences zizmor cache-poisoning alert. Publishing workflow runs
infrequently on protected branches so caching adds no real benefit.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(test): remove duplicate verbose_logger mock in test_check_migration

The logger was patched twice — first via mocker.patch() then via
mocker.patch.object(autospec=True). The second call fails because
autospec cannot inspect an already-mocked attribute. Remove the
redundant first patch.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(ci): free disk space before Docker build in test-server-root-path

The Dockerfile.non_root build ran out of disk on the CI runner. Remove
Android SDK, .NET, Boost, and GHC toolchains (~12GB) to free space.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-09 11:46:23 -07:00
ishaan-berri
61b295238b
cherry-pick: tag query fix + MCP metadata support (#25145)
* added support for metadata (#24261)

* added support for metadata

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

Made-with: Cursor

* pyproject to .25

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

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

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

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

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

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

* docs: add default_team_params to config reference and update examples

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

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

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

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

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

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

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

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

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

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

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

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

* fix(tests): correct mock targets in TestResolveAccessGroupResources

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* poetry

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

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

---------

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

* Tag query fix (#25094)

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

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

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

* resolved QPS issue when redis transaction buffer is enabled

* resolving circular import error flagged by greptile

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

---------

Co-authored-by: Shivam Rawat <shivam@berri.ai>
Co-authored-by: shivam <shivam@uni.minerva.edu>
Co-authored-by: Ryan Crabbe <ryan@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: Harish <harishgokul01@gmail.com>
Co-authored-by: Ishaan Jaffer <ishaan@berri.ai>
2026-04-04 16:44:02 -07:00
ishaan-berri
b53cfe729a
Litellm ishaan march30 (#24887) (#25151)
* fix(pricing): add unversioned vertex_ai/claude-haiku-4-5 entry

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

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

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

Made-with: Cursor

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

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



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

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



* style(oci): format with black and ruff

* fix(oci): correct embedding request body format

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

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

* docs: clarify tag routing early return and test intent

Made-with: Cursor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

---------

Co-authored-by: Ihsan Soydemir <soydemir.ihsan@gmail.com>
Co-authored-by: Milan <milan@berri.ai>
Co-authored-by: Daniel Gandolfi <danielgandolfi@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
Co-authored-by: user <70670632+stuxf@users.noreply.github.com>
Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
2026-04-04 14:44:07 -07:00
michelligabriele
92b8e1acf8 address greptile review: async sleep, SIGKILL Windows guard, trailing newlines 2026-03-19 20:03:07 +01:00
michelligabriele
1f04fa2461 fix(proxy): kill orphaned prisma engine subprocess on failed disconnect 2026-03-19 19:50:39 +01:00
yuneng-jiang
8ecac84789
Revert "feat(proxy): add Prisma DB pool and engine health metrics to Promethe…"
This reverts commit 0bb26c3f1b.
2026-03-09 14:55:11 -07:00
ohadgur
0bb26c3f1b
feat(proxy): add Prisma DB pool and engine health metrics to Prometheus (#22655)
* feat(proxy): add Prisma DB pool and engine health metrics to Prometheus

Add a PrismaMetricsCollector that periodically queries pg_stat_activity
and the Prisma engine process to expose connection pool and engine health
as Prometheus gauges/counters. Auto-enabled when prometheus_system is in
service_callback.

New metrics:
- litellm_db_pool_active_connections (Gauge)
- litellm_db_pool_idle_connections (Gauge)
- litellm_db_pool_total_connections (Gauge)
- litellm_db_pool_waiting_connections (Gauge)
- litellm_db_engine_up (Gauge)
- litellm_db_engine_restarts_total (Counter)

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

* fix: address Greptile review feedback

- Only increment engine_restarts counter on heavy reconnects (engine
  actually dead), not lightweight network-blip reconnects
- Fix potential KeyError in _get_or_create_gauge/counter fallback path
  when REGISTRY._names_to_collectors is absent
- Rename litellm_db_pool_waiting_connections to
  litellm_db_pool_lock_waiting_connections to clarify it measures lock
  contention, not pool slot queuing

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

* fix: warn when prometheus_system enabled but watchdog disabled

Log a warning when users have prometheus_system in service_callback
but PRISMA_HEALTH_WATCHDOG_ENABLED=false, since DB pool and engine
metrics won't be collected in that configuration.

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

* ci: retrigger CI checks

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

* refactor: use labeled gauge for DB pool connection metrics

Replace 3 separate pool gauges (active, idle, total) with a single
`litellm_db_pool_connections` gauge using a `state` label. This is more
Prometheus-idiomatic and exposes all pg_stat_activity states (active,
idle, idle in transaction, etc.) without ambiguity about what "total"
includes.

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

* fix: address Greptile review — stale labels and fallback re-registration

- Zero out known pg_stat_activity states that are absent from the current
  query result, preventing stale gauge values from persisting.
- Simplify _get_or_create_gauge/counter by removing the fallback loop
  that could re-register an already-registered metric (ValueError).
- Add test for stale label clearing across collection cycles.

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

* fix: include "unknown" in _PG_STATES for stale label clearing

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

* fix: collect immediately on start and consolidate into single query

- Move sleep to end of loop so metrics appear on /metrics immediately
  after startup instead of after a 30s delay.
- Combine pool state and lock waiting queries into a single SQL query
  using conditional aggregation, halving per-cycle DB overhead.

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

* fix: prevent tight spin loop on collection error

Move asyncio.sleep outside the try/except so it always executes even
when _collect_engine_health() or _collect_pool_metrics() raises.

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

* fix: add multiprocess_mode to _get_or_create_gauge initialization

- Include `multiprocess_mode` parameter to properly support multiprocessing in Gauge creation.
- Ensure consistent behavior for labeled and unlabeled Gauges.

* fix: handle invalid env var and document watchdog prerequisite

- Add try/except ValueError for PRISMA_METRICS_COLLECTION_INTERVAL_SECONDS
  to prevent proxy startup crash on non-numeric values (e.g. "30s")
- Document that DB metrics require both prometheus_system callback and
  PRISMA_HEALTH_WATCHDOG_ENABLED=true

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

* fix: use defensive null coalescing for query_raw row values

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

* test: add invalid env var fallback test and fix mock signature

- Add test for non-numeric PRISMA_METRICS_COLLECTION_INTERVAL_SECONDS
- Add **kwargs to mock _patched_get_or_create_gauge for forward compat

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

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 08:49:46 -07:00
Krish Dholakia
cf439c269c
Agents - add max budget + tpm/rpm limiting per agent AND per agent session (#22849)
* feat: enforce x-litellm-trace-id in header, if required

* feat: update spend for agent

* refactor: update agent table to follow similar format as other entities - also add a spend column - allows us to see spend of an agent

* fix: cleanup ui

* feat: return spend on agent endpoints

* feat: scope pr

* feat(agents/): support budgets + rate limiting on agents + agent sessions

* fix: address PR review feedback

- Add missing tpm_limit, rpm_limit, session_tpm_limit, session_rpm_limit
  columns to root schema.prisma to match proxy and extras schemas
- Add backwards-compatible fallback to key metadata for max_iterations
  so existing users don't silently lose enforcement

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

* fix: qa'ed RPM limiting on agents

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 19:12:42 -08:00
yuneng-jiang
9d9a59190c Use passed general_settings parameter instead of global import
The validation method now reads use_redis_transaction_buffer directly
from the passed general_settings dict rather than delegating to
RedisUpdateBuffer._should_commit_spend_updates_to_redis() which
imports the global. Tests simplified to remove unnecessary patching.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 21:30:52 -08:00
yuneng-jiang
3a15e1cc2e [Fix] Block proxy startup when use_redis_transaction_buffer is enabled without Redis cache
When `use_redis_transaction_buffer: true` is set in general_settings but no
Redis cache is configured in litellm_settings, the proxy starts successfully
but silently drops all spend tracking data. This adds a startup validation
that raises a clear error, preventing the proxy from running in a broken state.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 21:24:49 -08:00
Ishaan Jaff
1f412bc6d8
[Feat] Add Tool Policies for AI Gateway (#22732)
* fix: fix ui render

* fix: fix minor bugs

* refactor: use prisma functions instead of raw sql (safer)

* fix(add-new-tiles-to-tool-policies): allow developer to see what's available

* feat: ensure tool allowlist runs correctly for tool names + mcp's

* refactor: more ui improvements

* feat: working key tool blocking

* feat(tools): show tool logs

* refactor: backend code improvements

* refactor: improve log viewer for tools

* fix: address PR review feedback for tool access control

- Add missing blocked_tools column to root schema.prisma (schema drift)
- Invalidate ToolPolicyRegistry after policy mutations so changes take effect immediately
- Remove dead code: unused get_effective_policies, get_tool_policies_cached, and helpers

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

* fix: race condition in permission resolution and remove duplicate allowlist check

- Use atomic update_many with object_permission_id=None to prevent concurrent
  requests from creating orphaned permission rows and losing tool blocks
- Remove duplicate allowed_tools enforcement from guardrail (already enforced
  in auth layer via check_tools_allowlist)
- Move inline uuid import to module level

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

* update to account for  userAgent

* UI - Add ToolDetails

* input/output policy

* LiteLLM_PolicyAttachmentTable

* LiteLLM_PolicyAttachmentTable

* fix: add _enqueue_tool_registry_upsert

* fix: tool mgmt endpoints

* tool mgmt endpoints

* Update tests/test_litellm/proxy/db/test_tool_registry_writer.py

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

* Update tests/test_litellm/proxy/db/test_tool_registry_writer.py

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

* Update tests/test_litellm/proxy/db/test_tool_registry_writer.py

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

* fix: sync root schema.prisma and fix test_tool_registry_writer for input/output policy

- Migrate root schema.prisma LiteLLM_ToolTable from call_policy to
  input_policy/output_policy, add missing user_agent and last_used_at columns
  (now consistent with litellm/proxy/schema.prisma and litellm-proxy-extras)
- Fix SpendLogToolIndex comment across all three schema files
- Fix all call_policy references in test_tool_registry_writer.py:
  swapped update_tool_policy arguments, wrong get_tools_by_names return type
  assertions, _mock_tool_row setting call_policy instead of input_policy

Addresses Greptile review feedback on PR #22732.

Made-with: Cursor

---------

Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-03-03 20:22:20 -08:00
Ryan Crabbe
1c1b9cda42 merge: resolve conflict with origin/main in test_db_spend_update_writer.py
Keep both batch update tests (from this branch) and pipeline test (from main).
2026-02-25 12:15:53 -08:00
Ryan Crabbe
e1e05d27f8 Merge remote-tracking branch 'origin/main' into litellm_batch_update_database_tasks 2026-02-25 12:12:10 -08:00
ryan-crabbe
9857643eb4
Merge pull request #22044 from ryan-crabbe/litellm_redis_pipeline_spend_updates
Litellm redis pipeline spend updates
2026-02-25 12:11:09 -08:00
Ishaan Jaff
6ee50ff73e
feat(proxy): tool policies - auto-discover tools + policy enforcement guardrail (#22041)
* feat(proxy): tool policies - auto-discover tools, manage policies, guardrail enforcement

- New LiteLLM_ToolTable in schema.prisma to store discovered tools
- Auto-discovery: tools seen in LLM responses get upserted via ToolDiscoveryQueue
  (hooks into DBSpendUpdateWriter, same pipeline as spend tracking)
- Management endpoints: GET /v1/tool/list, GET /v1/tool/{name}, POST /v1/tool/policy
- ToolPolicyGuardrail: blocks tool_calls in responses based on policy setting
- UI: Tool Policies page under Guardrails section with policy selector,
  filters by policy/team/key, live tail, sortable table
- Unit tests for queue, writer, endpoints, guardrail

* feat(tool-policies): track call_count + discover tools from request body and /messages API

- Add call_count column to LiteLLM_ToolTable; incremented on every flush
- Extract tools from request body too (not just response tool_calls):
  - OpenAI /chat/completions: tools[].function.name
  - Anthropic /messages pass-through: request_body.tools[].name
- Show call_count column in UI table (sortable)
- UI: drop dual_llm option, keep only trusted/blocked

* fix: address greptile review feedback

- Remove redundant @@index([tool_name]) from schema.prisma (tool_name has @unique which already creates an index)
- Replace gen_random_uuid()::text with str(uuid.uuid4()) for portability
- Rewrite test_tool_registry_writer.py to mock execute_raw/query_raw (actual implementation) instead of Prisma model methods
- Fix test patches in test_tool_management_endpoints.py to target source modules since imports are inside function bodies
- Add "Tool Policies" page title to ToolPolicies.tsx

* fix: address greptile review round 2

- Replace NOW() with Python datetime parameter in tool_registry_writer (SQLite portability)
- Fix cache key collision in tool_policy_guardrail: use null-byte separator instead of colon
- Remove type==function filter from request-side tool extraction to match response-side behavior
- Clear seen_tool_names on flush so call_count increments per batch cycle not per pod lifetime

* fix: address greptile review round 3

- Fix test_seen_names_persist_across_flushes to match actual per-flush-cycle behavior
- Update module docstring in tool_discovery_queue.py to accurately describe flush behavior
- Add created_at/updated_at to raw SQL INSERT in batch_upsert_tools and update_tool_policy

* fix: cache tool policies per tool name not per combination

Previously the cache key was built from the full set of tool names in a
request, so each unique combination of tools got its own cold cache entry
and triggered a separate DB query. With N distinct tools across requests
this was effectively a DB hit on every request.

Now each tool name is cached individually. Cache hits are checked per
tool, only missing tools are fetched from DB in a single batch query,
and each result is cached separately. Once a tool's policy is warm,
any subsequent request using that tool benefits from the cache regardless
of what other tools are in the request.

* Update ui/litellm-dashboard/src/components/ToolPolicies.tsx

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

---------

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-24 16:27:06 -08:00
Ryan Crabbe
98b4964330 perf(proxy): pipeline Redis RPUSH/LPOP in spend update cycle
Replace 14 sequential Redis round-trips (7 RPUSH + 7 LPOP) per spend
update cycle with 2 pipelined calls (1 RPUSH pipeline + 1 LPOP pipeline).
This reduces connection pool contention at scale (50+ pods).

- Add RedisPipelineRpushOperation and RedisPipelineLpopOperation TypedDicts
- Add async_rpush_pipeline() and async_lpop_pipeline() to RedisCache
- Refactor store_in_memory_spend_updates_in_redis() to use pipeline
- Add get_all_transactions_from_redis_buffer_pipeline() for batched drain
- Update _commit_spend_updates_to_db_with_redis() to use pipeline drain
- Existing individual methods preserved for backward compatibility
2026-02-24 12:46:52 -08:00
Ryan Crabbe
4c5963fdb9 test: exercise production deepcopy path in agent payload test 2026-02-24 10:49:16 -08:00
Ryan Crabbe
86ec2fbf84 perf(proxy): batch 11 create_task() calls into 1 in update_database()
Replace 11 separate asyncio.create_task() calls per request with a
single batched task that runs all spend-update helpers sequentially.
This reduces task scheduling overhead at high RPS (11,000 -> 1,000
tasks/sec at 1K RPS) and cuts 5 copy.deepcopy(payload) calls to 1
shared copy.

Also fixes a mutation bug where the daily agent spend handler received
the raw payload without deepcopy, unlike all other daily helpers.
2026-02-24 10:04:43 -08:00
yuneng-jiang
a9c44d8530 adjust default aggregation threshold 2026-02-23 16:20:15 -08:00
Julio Quinteros Pro
fb8b11cc0a fix(tests): use counter-based mock for time.time in prisma self-heal test
The test used a fixed side_effect list for time.time(), but the number
of calls varies by Python version, causing StopIteration on 3.12 and
AssertionError on 3.14. Replace with an infinite counter-based callable
and assert the timestamp was updated rather than checking for an exact
value.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 13:25:02 -03:00
Ishaan Jaff
a939fa37ae
fix(proxy): restore broad is_database_connection_error; add is_database_transport_error for reconnect (#21796)
Any PrismaError should be treated as a DB connection error for the
allow_requests_on_db_unavailable feature and 503 responses. The narrow
keyword-based check is now in is_database_transport_error, which is
what the reconnect logic in auth_checks.py should use.

Fixes test_delete_access_group_503_on_db_connection_error and
test_handle_authentication_error_db_unavailable failures caused by
PR #21706 narrowing is_database_connection_error.
2026-02-21 12:04:00 -08:00
Ishaan Jaff
e0129710c8
fix(proxy): self-heal Prisma connection for auth and runtime (#21706)
* fix(proxy): add prisma reconnect primitive and db watchdog

* fix(proxy): start and stop prisma watchdog in lifecycle

* fix(auth): retry key lookup once after prisma reconnect

* test(proxy): add prisma self-heal watchdog coverage

* test(auth): cover reconnect-once behavior for key lookup

* refactor(auth): extract db reconnect helper and remove inline import

* fix(proxy): apply reconnect cooldown after attempt and add auth timeout path

* fix(auth): bound reconnect latency on key lookup path

* test(auth): assert reconnect timeout argument in key lookup

* test(proxy): verify reconnect cooldown timestamp set after attempt

* fix(proxy): harden prisma reconnect cycle semantics

* test(proxy): cover watchdog reconnect + timeout budget

* fix(proxy): bound watchdog probe and reconnect paths

* test(proxy): cover watchdog timeout and probe behavior

* fix(proxy): narrow prisma db connection error classification

* fix(proxy): add auth reconnect lock timeout budget

* fix(auth): pass lock timeout for db reconnect retries

* test(proxy): cover narrow prisma connection error detection

* test(proxy): add reconnect lock-timeout behavior coverage

* test(auth): assert reconnect lock timeout argument

* fix(proxy): avoid lock leak race in reconnect lock timeout path

* test(proxy): cover reconnect lock-timeout race cleanup
2026-02-20 18:11:36 -08:00
yuneng-jiang
6097905e55 [Feature] Track key last active timestamp
Virtual keys only track created_at and updated_at, which don't indicate
when a key was last used. This adds a last_active field that gets updated
during the async batch spend update, giving admins visibility into which
keys are actively being used.

Changes:
- Add last_active DateTime? to VerificationToken and
  DeletedVerificationToken in all 3 schema files and Python types
- Set last_active in the batch key spend update alongside spend increment
- Add Last Active column to virtual keys UI table with info popover
  and hover tooltip showing full date/time with timezone

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-18 23:11:58 -08:00
Emerson Gomes
06e7bfce2e perf(spend): avoid duplicate daily agent transaction computation (#21187) 2026-02-16 18:28:34 +05:30
Ishaan Jaffer
9ce7871d8a test_queue_flush_limit 2026-02-14 15:34:45 -08:00