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Commits
| Author | SHA1 | Message | Date | |
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 Sameer Kankute
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fbfd8bbe55 | Fix tests | ||
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Sameer Kankute
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5223f5cbb3 | Fix failing tests | ||
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Sameer Kankute
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38beaaa877 | Fix failing tests | ||
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Sameer Kankute
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415c7b8f6e | Fix failing tests | ||
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Sameer Kankute
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0396426f8b | Fix failing tests | ||
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Sameer Kankute
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80fed17a12 | Replaced black formatting | ||
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Sameer Kankute
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5c67cf0e0c | Replaced the async client violation | ||
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Sameer Kankute
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1ca48e931e | Fix code qa | ||
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Sameer Kankute
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a49e2f3ad8 | Fix failing tests | ||
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Maruti AgarwalandSameer Kankute
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1587a1e91c |
feat(ocr): add Reducto parse OCR support (#26068)
* feat(ocr): add Reducto parse OCR support * fix(reducto): address OCR review feedback * chore: refresh uv lockfile * Revert "chore: refresh uv lockfile" This reverts commit 47200c0e603275108335aee852d0a96586165337. |
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a7641dcc43 |
Add Rubrik as officially-supported guardrail plugin (#25305)
* Add Rubrik as officially-supported guardrail plugin Adds tool blocking and batch logging integration with an external Rubrik webhook service. The plugin validates LLM tool calls against a policy service (fail-open on errors) and batch-logs all requests/responses. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Update Rubrik docs: config.yaml as primary, env vars as fallback Restructures the Quick Start to present config.yaml as the recommended approach with tabbed UI, and environment variables as an alternative fallback. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add Rubrik env vars to config_settings reference Fixes documentation validation by adding RUBRIK_API_KEY, RUBRIK_BATCH_SIZE, RUBRIK_SAMPLING_RATE, and RUBRIK_WEBHOOK_URL to the environment settings reference table. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add fallback message when blocking service returns empty explanation Prevents whitespace-only violation message when the tool blocking service blocks tools but returns an empty content field. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Tai AnandSameer Kankute
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a17279a845 |
fix(deps): relax core runtime dependency pins from exact == to ranges
When litellm migrated from Poetry to uv (PR #24905, v1.83.1), the core dependency specifications in pyproject.toml changed from Poetry bare-version strings (e.g. openai = "2.30.0") to PEP 621 exact pins (openai==2.24.0). Poetry bare-version strings are actually caret ranges (^X.Y.Z == >=X.Y.Z,<X+1), but PEP 621 == is exact. This means every downstream package that installs litellm as a library dependency is now forced to downgrade aiohttp, pydantic, openai, click, and 8 other common packages to exact old versions. Fix: restore range specifiers for the 12 core runtime dependencies. The optional extras (proxy, proxy-runtime, etc.) are consumed primarily by Docker images where exact pins are appropriate and are left unchanged. The uv.lock file continues to provide exact reproducibility for Docker builds and CI. Fixes: #26154 |
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4ecd8bf81b |
fix(chatgpt): preserve responses routing and recover empty output (#25403) (#26219)
- preserve existing shared backend `mode` when router deployment registration reuses a provider/model key already in `litellm.model_cost` (prevents alias with `mode: chat` from downgrading shared `chatgpt/gpt-5.4` from `responses` to `chat` and triggering 403s on /v1/chat/completions) - teach the ChatGPT Responses parser to recover `response.output_item.done` entries when `response.completed.output` is empty - add defensive /responses -> /chat/completions bridge fallback that reconstructs output items from raw SSE when `raw_response.output` is empty - regression coverage for shared alias routing, empty completed.output parsing, and SSE bridge recovery Closes #25403 Co-authored-by: afoninsky <andrey.afoninsky@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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Elon AzoulayandSameer Kankute
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265d925b8a | fix(fireworks): add glm-5p1 metadata and parallel_tool_calls (#26069) | ||
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a891ed3393 |
fix: reuse cached credentials in VertexAIPartnerModels (#26065)
* fix: reuse cached credentials in VertexAIPartnerModels instead of creating new VertexLLM per request VertexAIPartnerModels.completion() was creating a throwaway VertexLLM() instance on every call to get an access token, bypassing the credential cache inherited from VertexBase. This caused a fresh token fetch for every single request, adding significant latency overhead. Fix: call super().__init__() to initialize VertexBase's credential cache, and use self._ensure_access_token() instead of a new VertexLLM instance. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: apply same credential caching fix to VertexAIGemmaModels and VertexAIModelGardenModels Same bug as VertexAIPartnerModels: both classes had `pass` in __init__ instead of `super().__init__()`, and created throwaway VertexLLM() instances per request instead of using self._ensure_access_token(). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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e7655420f5 |
fix(vertex_ai): single-flight credential refresh to prevent thundering herd (#26024)
* fix(vertex_ai): single-flight credential refresh to prevent thundering herd When GCP credentials expire under high concurrency, all requests simultaneously call credentials.refresh() via asyncify, saturating the 40-thread anyio pool and blocking the proxy for 20+ seconds. This adds: - Per-credential asyncio.Lock in get_access_token_async for single-flight refresh (1 coroutine refreshes, others wait on the lock) - Background refresh when token_state is STALE (usable but near expiry), returning the current token immediately with zero added latency - threading.Lock on the sync get_access_token path - Uses google-auth's TokenState enum (FRESH/STALE/INVALID) instead of reimplementing expiry logic Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address PR review comments - Use asyncio.create_task() instead of deprecated get_event_loop().create_task() - Track in-flight background refresh tasks to prevent duplicate refreshes when multiple STALE-path callers pass through the lock before the first background task completes - Add token validation in the STALE branch (consistent with FRESH/INVALID) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: lazy-import TokenState to avoid breaking when google-auth is not installed Also extract helper methods to bring get_access_token_async under the PLR0915 statement limit (50). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: apply Black formatting to test file and update uv.lock Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove user-provided project_id from log messages (CodeQL log injection) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: avoid leaking token value in error message, log type instead Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: restore uv.lock to match litellm_oss_branch Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove project_id from remaining log message (CodeQL log injection) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove remaining project_id from log and error messages Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Kevin ZhaoandSameer Kankute
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30f3b92f10 |
fix(bedrock): use model info lookup for output_config support instead of hardcoded check
Replace hardcoded _is_claude_4_6_model() string matching with supports_output_config flag in model_prices_and_context_window.json, accessed via _supports_factory(). This follows the project's established pattern for model capability checks (per AGENTS.md rule #8). Bedrock Invoke now conditionally preserves output_config for models that declare supports_output_config=true (currently Claude 4.6 models), while stripping it for older models to avoid request rejection. Ref: https://github.com/BerriAI/litellm/issues/22797 |
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e59e34bed3 |
Gemini managed agents support (#28270)
* Add support for environment variable in interactions api * Add sdk support for gemini create agent * Add agents endpoint support via proxy * Add outputs of each api * Add routing for model and agents param * Remove redundant condition in get_provider_agents_api_config LlmProviders.GEMINI.value is literally the string "gemini", so the second clause of the or was checking the exact same thing as the first. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix: forward query-param credentials to list/get/delete/versions Gemini agent endpoints The list_gemini_agents, get_gemini_agent, delete_gemini_agent, and list_gemini_agent_versions endpoints previously constructed a hardcoded data dict with no mechanism to pass provider credentials. Unlike create_gemini_agent (POST, reads litellm_params_template from body), these GET/DELETE endpoints gave no way for multi-tenant callers to supply a per-request api_key or other LiteLLM params. Fix: - Add _merge_query_params_into_data() helper that reads query parameters from the request and merges them into the data dict without overwriting already-set keys (e.g. path params like 'name'). - Support a JSON-encoded litellm_params_template query parameter (matching the POST body pattern) as well as flat key=value pairs (e.g. api_key=AIza...). - Apply the helper in all four affected endpoints. - Add 13 unit tests covering the helper and each endpoint. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix: pass model=None for managed agent proxy endpoints to prevent agent name polluting data["model"] Endpoints acreate_agent, aget_agent, adelete_agent, and alist_agent_versions were passing model=<agent_name> to base_process_llm_request. This caused common_processing_pre_call_logic to write the agent name into self.data["model"], which then triggered spurious model-alias mapping, rate-limiting lookups, and logging tied to a non-existent model deployment. The agent name is already carried in data["name"] and is passed correctly to the SDK functions (litellm.interactions.agents.*). There is no reason to also set model=<agent_name>; the correct value is model=None for all five managed-agent management routes. Adds tests/test_litellm/proxy/google_endpoints/test_managed_agents_model_param.py to verify all five managed-agent endpoints pass model=None. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix: address greptile P1/P2 review comments P1 (router.py): Restore fallback/retry support for acreate_interaction and create_interaction. Both were silently moved to _init_interactions_api_endpoints (direct call, no fallbacks). Moved them back to _ageneric_api_call_with_fallbacks so users with configured fallback models keep retry behaviour. P1 security (agents_endpoints.py): Remove flat query-param credential path (e.g. ?api_key=AIza...) from _merge_query_params_into_data. Credentials in URL query strings appear verbatim in server access logs, CDN edge logs, and browser history. Only the JSON-encoded litellm_params_template query param (matching the POST body pattern) is retained. P2 (interactions/http_handler.py): Extract _BaseHTTPHandler with shared _handle_error, _sync_client, and _async_client helpers. InteractionsHTTPHandler now extends _BaseHTTPHandler. The _async_client reads the provider from litellm_params instead of hardcoding GEMINI. P2 (interactions/agents/http_handler.py): AgentsHTTPHandler now extends InteractionsHTTPHandler (which inherits _BaseHTTPHandler) so all shared HTTP infrastructure is reused rather than duplicated. Removes the hardcoded LlmProviders.GEMINI from the async client path. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: address CI failures from greptile review fixes - black: format interactions/agents/main.py and utils.py - tests: update test_gemini_agents_endpoints.py to match new _merge_query_params_into_data behaviour (flat credential params are rejected; only JSON-encoded litellm_params_template is accepted) - ci: add test_gemini_agents_endpoints.py to endpoints-and-responses shard in test-unit-proxy-db.yml so assert-shard-coverage passes - tests: add _initialize_managed_agents_endpoints and _init_managed_agents_api_endpoints test coverage so router_code_coverage passes; also fix TestRouterCreateInteractionRouting to reflect that acreate_interaction now correctly routes through _ageneric_api_call_with_fallbacks (restoring fallback support) Co-authored-by: Cursor <cursoragent@cursor.com> * fix: remove InteractionsHTTPHandler._handle_error override to fix type errors AgentsHTTPHandler extends InteractionsHTTPHandler and calls self._handle_error(provider_config=agents_api_config) where agents_api_config is BaseAgentsAPIConfig. Python MRO resolved _handle_error to InteractionsHTTPHandler._handle_error which expected BaseInteractionsAPIConfig, causing 10 mypy arg-type errors in interactions/agents/http_handler.py. Removing the redundant override lets both classes inherit _BaseHTTPHandler._handle_error (provider_config: Any) which is structurally correct for both config types. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: agent-only interactions and managed agents provider routing Resolve None custom_llm_provider in agents HTTP client lookup and set custom_llm_provider on GenericLiteLLMParams for all agent CRUD paths. Stop mapping agent names to proxy model routing; route interactions through _init_interactions_api_endpoints with fallbacks only when model is set. Consolidate duplicate router elif branches for interaction APIs. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix greptile review * test(agents): add unit tests for managed agents SDK and HTTP handler Adds coverage for the new `litellm.interactions.agents` surface area: - main.py: sync/async entry points (create/list/get/delete/list_versions), provider config lookup, logging-obj helper, async error wrapping - http_handler.py: every CRUD method (sync + async paths), `_is_async` dispatch branches, and provider error mapping through GeminiAgentsConfig - utils.py: get_provider_agents_api_config for supported / unsupported providers Brings patch coverage on these files from <25% to ~100% so codecov/patch is satisfied. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * docs(gemini-agents): fix misleading credential-passing examples in GET/DELETE docstrings (#28293) The four GET/DELETE endpoint docstrings (list_gemini_agents, get_gemini_agent, delete_gemini_agent, list_gemini_agent_versions) documented passing per-request credentials as flat query parameters (e.g. ?api_key=AIza...). However, _merge_query_params_into_data only reads the JSON-encoded litellm_params_template query parameter and intentionally ignores flat params (URL query strings appear verbatim in access logs, browser history, and Referer headers). Callers following the documented curl examples would have their credentials silently dropped and hit auth failures against Gemini. Update the examples to use the supported JSON-encoded litellm_params_template query parameter, matching _merge_query_params_into_data's own docstring. Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * refactor(agents): rename provider-agnostic agent response types Move GeminiAgent{ListResponse,DeleteResult,VersionsResponse} to provider-neutral names (AgentListResponse, AgentDeleteResult, AgentVersionsResponse) so the BaseAgentsAPIConfig interface no longer references Gemini-specific type names. * fix(gemini-agents): close veria-flagged credential-escalation gaps Two high-severity findings from the veria-ai PR review are addressed: 1. **api_base override could leak the shared Gemini key** GeminiAgentsConfig.validate_environment falls back to GOOGLE_API_KEY / GEMINI_API_KEY when no api_key is supplied. Combined with caller-controlled api_base on the proxy CRUD endpoints, an authenticated user could redirect the outbound request to an attacker-controlled host and capture the operator's shared Gemini key from the x-goog-api-key header. The config now refuses env-fallback whenever api_base is explicitly overridden. 2. **Managed-agent CRUD exposed to ordinary LLM keys** The new /v1beta/agents routes live in google_routes (i.e. llm_api_routes), so any non-admin LLM key can reach them. Unlike /v1beta/models/...: generateContent these endpoints are NOT model-routed and have no model_list-supplied credentials, so env-fallback would let any LLM key list / create / delete agents inside the operator's Gemini project. Each endpoint now calls _enforce_caller_supplied_provider_key, which requires non-admin callers to supply their own Gemini api_key via litellm_params_template. Proxy admins keep the env-fallback convenience. Tests cover non-admin rejection, admin allow-through, the api_base override guard, and SDK env-fallback when api_base is not overridden. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * test(router): restore strict assert_called_once_with on interactions default-provider test --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> |
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3c3d131f01 |
Day 0 support : Gemini 3.5 Flash (#28268)
* Add day 0 support for gemini 3.5 flash * Fix pricing * Fix greptile review * Fix failing test * Fix tests * Fix: revert tool removing logic * fix greptile and test --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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cde4b1a94d |
feat: propagate team_id and team_alias to all child OTEL spans (#28273)
- Add `_set_team_attributes_on_span` helper to stamp team_id/team_alias onto any span, ensuring these attributes are not limited to the root litellm_request span - Add `_set_team_attributes_from_kwargs` helper to extract team metadata from the standard_logging_object in kwargs and apply them to a span - Apply team attributes to raw request spans via `_maybe_log_raw_request` so downstream consumers can filter traces by team without needing the root span - Apply team attributes to guardrail spans so guardrail activity can be correlated to teams in tracing backends - Apply team attributes to exception logging spans to preserve team context during failure paths - Add comprehensive unit tests covering all new helpers, including edge cases where metadata or standard_logging_object is absent Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu> |
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yuneng-jiangandGitHub
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1480ec698b |
chore(ci): bump versions (#28287)
* bump: version 0.4.72 → 0.4.73 * bump: version 1.86.0 → 1.87.0 * uv lock |
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yuneng-jiangandGitHub
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92de7423ef |
fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5 (#28281)
* fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5 OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so the live audio calls in test_stream_chunk_builder_openai_audio_output_usage and test_standard_logging_payload_audio now hard-fail with a model-not-found error on every PR. The error was not "openai-internal", so the except block swallowed it and execution fell through to an unbound completion/response (UnboundLocalError). Switch both tests to gpt-audio-1.5, OpenAI's recommended successor (GA, not deprecated, already present in the litellm cost map so the response_cost assertion still resolves). Also broaden the except to skip with the real error in the reason instead of crashing, so a transient upstream blip can't reintroduce the UnboundLocalError. * fix(tests): narrow audio-test skip to model-not-found, re-raise the rest Address review feedback: an unconditional skip on any exception would silently mask a litellm-internal regression in the audio path (broken param transformation, serialization, bad header) instead of failing CI. Skip only on the upstream-unavailable class (model_not_found / "does not exist" / openai-internal) and re-raise everything else, so genuine regressions still fail loudly. The UnboundLocalError is still fixed because the handler either skips or raises - it never falls through. * fix(tests): add budget_exceeded to expected Interaction status enum Staging added budget_exceeded to the Interaction OpenAPI status enum; the staging merge into this branch picked up the spec change but not the matching test update, so test_status_enum_values failed in CI. Align the test's expected list (exact-match by design) with the live spec. * fix(tests): mock HTTP fetch in test_img_url_token_counter The test parameterized a live third-party image URL (blog.purpureus.net) which now 404s, causing get_image_dimensions to fall through to its base64 decode path and crash with 'not enough values to unpack' on every PR run. Mock safe_get with a tiny 1x1 PNG so the URL branch is still exercised without any network dependency. * fix(tests): swap gpt-4o-audio-preview to gpt-audio-1.5 in test_gpt4o_audio OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so both live tests in test_gpt4o_audio.py (test_audio_output_from_model and test_audio_input_to_model) hard-fail model_not_found on every PR. Swap the hardcoded model to OpenAI's successor gpt-audio-1.5 (same chat-completions audio surface; already in the litellm cost map). Mirror the narrowed-skip pattern from the prior audio fixes: skip on model_not_found / does-not-exist / openai-internal, re-raise everything else so genuine litellm regressions still fail CI loudly. |
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ryan-crabbe-berriandGitHub
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727a471ae9 |
[Refactor] UI - Spend Logs: consolidate filter state and extract components (#25847)
* [Refactor] UI - Spend Logs: consolidate filter state, extract components, remove dead code
- Lift filter state into index.tsx and pass to hook (removes selectedX vars + sync useEffect)
- Move main useQuery into useLogFilterLogic hook (removes isMainQueryEnabled toggle)
- Delete dead RequestViewer component (300 lines, replaced by LogDetailsDrawer)
- Extract LogsTableToolbar component (search, date range, pagination, live tail)
- Extract filter options config to filter_options.ts
- Remove dead code: handleRefresh, handleSelectLog, handleCloseDrawer, formatTimeUnit,
showFilters/showColumnDropdown state, dropdownRef/filtersRef
* Fix PR feedback: use antd Switch instead of Tremor in new file, fix typo
* Collapse dual-path filtering into single React Query
All 10 filter keys now go through the useQuery — the imperative
performSearch / debouncedSearch / backendFilteredLogs path is deleted.
Filter values are debounced via useDebouncedValue(300ms) before hitting
the query key so text inputs don't fire per-keystroke.
Removed: performSearch, debouncedSearch, backendFilteredLogs,
lastSearchTimestamp, hasBackendFilters, clientDerivedFilteredLogs,
the sort/page/time refetch useEffect, and the filteredLogs chooser memo.
* Clean up remaining smells: remove isFetchingDeferred, internalize selectedTimeInterval, fix circular import
- Remove useDeferredValue/isButtonLoading — pass logsQuery.isFetching directly
- Move selectedTimeInterval into LogsTableToolbar as internal state
- Move PaginatedResponse type from index.tsx to log_filter_logic.tsx
* Fix quick-select dropdown overlapping sidebar
* Fix stale quick-select label after Reset Filters
Move selectedTimeInterval back to parent so handleFilterReset can
reset it to the 24-hour default. The toolbar receives it as a prop.
* refactor useLogFilterLogic tests for controlled-hook + backend-query shape
The hook no longer owns filter state or does client-side filtering — it
receives filters/setFilters as props and drives filteredLogs from a
useQuery over uiSpendLogsCall. Reshape the tests around that contract:
introduce a controlled harness that owns filter state, collapse the 10
per-filter assertions into a single it.each over filterKey → API param,
and drop the client-side passthrough tests (the .min test file and the
"return all logs when no filters" / "empty when logs null" cases) that
no longer correspond to any hook behavior.
* cover new useLogFilterLogic invariants: activeTab gate, filterByCurrentUser fallback, debounce negative, partial merge
Follow-up to the test refactor. Adds coverage for invariants the
refactored hook contract introduced but that the first pass didn't
assert:
- query enablement: expand the single accessToken-null case into an
it.each over all four credential props (accessToken, token, userRole,
userID), plus a separate test for activeTab !== "request logs"
- filterByCurrentUser: when true with a blank User ID filter, the
outbound request carries user_id = userID
- debounce: also assert the negative case — no call in the first 100ms
after a filter change (first waiting out the initial mount fire)
- handleFilterChange: partial updates merge without clobbering other
filter keys (protects the spread + default-fill semantics)
- handleFilterReset: calls setCurrentPage(1) alongside restoring
filters
* fix typo dropping the live-tail banner border
Tailwind silently ignores unknown classes, so border-greem-200 was
leaving the auto-refresh banner with only its bg-green-50 fill and no
outline.
* memoize columns and derived table data in SpendLogsTable
The table's columns array, four-pass data pipeline, and sort-change
handler were all being rebuilt on every parent render. That made every
filter click re-instance all 23 TanStack-Table columns, re-run
filter/reduce/map over all rows, and recreate per-row click closures —
all before the intentional 300ms debounce timer even got a chance to
fire.
Local measurement (40 rows, dev mode):
filter click → query fires: 1957ms → 1217ms (−38%)
Wrap createColumns in useMemo keyed on sortBy/sortOrder, hoist
onSortChange into a useCallback, and move the searchedLogs /
sessionComposition / sessionRepresentativeMap / filteredData derivations
into a single useMemo keyed on filteredLogs.data + searchTerm.
These were pre-existing issues on main — not regressions from the
hook refactor — but the refactor made them user-visible because the
new query debounce put render cost on the critical path.
* apply dropdown filters instantly, debounce only text inputs
Dropdown selects now bypass the 300ms debounce so a click updates the
table immediately. Text inputs (Key Hash, Error Message, Request ID,
User ID) still debounce. handleFilterReset also clears the pending
debounced value so a half-typed text filter can't re-fire after reset.
* fix(ui/spend-logs): restore lost loading/debounce behavior + cover dropped tests
Regressions from the spend-logs-view refactor:
- debounce the 'Public model / search tool' text filter (was firing a
backend query per keystroke) via TEXT_FILTER_KEYS
- restore Fetch-button smoothing through table repaint using
useDeferredValue on the rendered data (explicit staleness)
- show AntDLoadingSpinner during the auth-resolve phase instead of a
blank screen on first load
- only live-tail-poll while the tab is visible
(refetchIntervalInBackground: false)
- extract getLiveTailRefetchInterval helper for the poll decision
Tests:
- LogDetailContent: retries display (>0 / 0 / absent), overhead-absent
- log_filter_logic: regression guard that the public-model filter
debounces; getLiveTailRefetchInterval unit tests
- logs_utils: getTimeRangeDisplay quick-select window labels
* test(ui/spend-logs): cover the cold-load auth-not-ready spinner guard
Asserts SpendLogsTable shows a loading spinner (not a blank screen)
while credentials are unresolved, and renders the table once present.
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harish-berriandGitHub
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cff3e0b75e |
refactor(bedrock/sagemaker): switch to lazy loading for response stre… (#28189)
* refactor(bedrock/sagemaker): switch to lazy loading for response stream shapes
- Replace eager loading of BEDROCK_RESPONSE_STREAM_SHAPE and SAGEMAKER_RESPONSE_STREAM_SHAPE with lazy loading via get_bedrock_response_stream_shape() and get_sagemaker_response_stream_shape() respectively.
- This change optimizes performance by avoiding unnecessary imports and logging warnings unless the response stream shapes are actually needed.
- Update relevant classes and tests to utilize the new lazy loading functions, ensuring consistent behavior across the codebase.
* test(bedrock/sagemaker): add fixtures to clear response stream shape cache
- Introduced `_reset_bedrock_response_stream_shape_cache` and `_reset_sagemaker_response_stream_shape_cache` fixtures to prevent lru_cache leakage between tests in their respective modules.
- Updated tests to utilize these fixtures, ensuring that the response stream shape cache is cleared before and after each test run.
- Added `pytest.importorskip("botocore")` to ensure that tests are skipped if the botocore library is not available.
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0290c7bc00 |
fix(proxy): decode bytes and pass-through SSE for Google-native streamGenerateContent (#27444) (#28213)
* fix(proxy): decode bytes and pass-through SSE for Google-native streamGenerateContent (#27444) * fix(proxy): address Greptile review on Google-native SSE bytes path Remove unreachable try/except around SSE pass-through yield and add a unit test covering pre-formatted SSE bytes, terminator padding, and non-SSE byte fallback wrapping. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Tai An <antai12232931@outlook.com> Co-authored-by: Cursor <cursoragent@cursor.com> |
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581882879d |
feat(ui): add Interactions API endpoint to playground with SSE streaming (#28156)
* feat(ui): add Interactions API support to playground with streaming Adds /v1beta/interactions as a selectable endpoint in the UI playground. Uses SSE streaming (stream=true) and parses content.delta events for real-time output. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(interactions): remove forced gemini provider so all providers work via interactions API Proxy endpoint was hardcoding custom_llm_provider="gemini" before routing, preventing non-Gemini models from using the litellm_responses bridge. Also reverts the UI Gemini-only model filter. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(interactions): fix streaming for non-gemini providers via bridge Two bugs in LiteLLMResponsesInteractionsStreamingIterator: 1. content.delta was emitted without "type":"text" in delta dict, so the UI type-check always failed and no tokens were displayed 2. First OutputTextDeltaEvent was silently dropped (used to emit content.start with empty text); fixed by handling ResponsePartAddedEvent for content.start so text deltas go directly to content.delta Co-authored-by: Cursor <cursoragent@cursor.com> * undo unrelated changes * fix(ui): extract model from top-level field in interactions bridge events Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(interactions): remove tautological gemini-provider assertion The test_no_forced_gemini_provider_in_request_data check only asserted against dict literals it had just constructed, so it always passed and did not exercise the create_interaction endpoint. The endpoint deliberately defaults custom_llm_provider to gemini, so the assertion was also factually incorrect. Drop the misleading test. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(interactions): use ContentPartAddedEvent and guard interaction.start ordering - ResponsePartAddedEvent corresponds to reasoning summary parts, not text content parts. Use ContentPartAddedEvent which is the event emitted before text output deltas (type response.content_part.added). - Mirror the OutputTextDeltaEvent ordering guard: if interaction.start has not been sent yet, emit it first before content.start to honor the documented event ordering contract. Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(interactions): cover ContentPartAddedEvent ordering and no-op paths * fix(tests): treat corrupt VCR cassette payloads as cache miss + use gpt-realtime in OpenAI realtime guardrails test VCR redis persister was raising UnicodeDecodeError on cached payloads that fail to UTF-8 decode (e.g. legacy entries written by another version of the persister), failing tests at fixture setup instead of degrading to a cache miss. Wrap decode+deserialize in a try/except so corrupt cache entries are treated as CassetteNotFoundError, surfacing the failure via the existing _record_cache_failure / VCRCassetteCacheWarning path. OpenAI shut down gpt-4o-realtime-preview-2024-12-17 (and the entire gpt-4o-realtime-preview family) on 2026-05-07. The live realtime guardrails integration test now fails with model_not_found instead of receiving session.created. Point OPENAI_REALTIME_URL at the current GA model gpt-realtime, and relax the assertion in test_text_message_blocked_by_guardrail_no_ai_response to also accept the model's refusal-to-repeat the block message (gpt-realtime declines verbatim-repeat instructions, which is still a safe outcome since the original user message was blocked before reaching OpenAI). The BLOCKED_PHRASE leak check is preserved as a hard invariant. * fix(tests): migrate realtime + nvidia_nim rerank tests off shut-down upstream models OpenAI shut down the entire gpt-4o-realtime-preview family (including the undated alias) on 2026-05-07. The live realtime tests still connected with that dead alias and failed with messages_received=1 (an error event 'The model gpt-4o-realtime-preview does not exist' instead of session.created). Point the live OpenAI realtime tests at gpt-realtime, the current GA realtime model: - test_openai_realtime_simple.py: get_model() -> gpt-realtime - test_openai_realtime.py: test_openai_realtime_direct_call_no_intent and test_openai_realtime_direct_call_with_intent -> openai/gpt-realtime Mocked unit tests (test_realtime_query_params_construction, test_realtime_query_params_use_normalized_model_name) are left as-is: they never hit the network and assert string plumbing only. NVIDIA reached end-of-life for the hosted nvidia/llama-3.2-nv-rerankqa-1b-v2 rerank API on 2026-05-18 with no published replacement, so the live BaseLLMRerankTest.test_basic_rerank for nvidia_nim now returns HTTP 410 ('Gone'). NVIDIA's hosted catalog rotates on a schedule, so swapping in another live model would only defer the failure. Override test_basic_rerank in TestNvidiaNim to mock the sync/async HTTP transport (same pattern as test_nvidia_nim_rerank_ranking_endpoint in this file) and inject a fake NVIDIA_NIM_API_KEY via monkeypatch. The request/response transformation and cost calculation stay covered offline. * test(callbacks): harden flaky proxy callback-leak detector The proxy callback-leak detector (test_check_num_callbacks_on_lowest_latency) was failing on this PR with 'abs(85 - 95) <= 4' — a bounded one-time registration jump caused by switching to latency-based-routing (+LowestLatencyLoggingHandler, +SlackAlerting). The count then plateaus under load, so this is pollution from the test's own config update, not a leak. Replace the brittle two-sample diff threshold with a sampler that settles past the deliberate config switch and only flags sustained monotonic per-type growth, with a terminal-burst confirmation pass for leaks that would otherwise escape the >=2-interval guard. Normalizes instance addresses so identical callbacks at different memory locations collapse, and names the leaking type on failure. * fix(interactions): preserve first text token when both start events are missing When OutputTextDeltaEvent arrived before any ResponseCreatedEvent or ContentPartAddedEvent, the double-fallback path emitted interaction.start and silently dropped the first delta's text — the second delta's content.start carried only that chunk's delta, and the first token never made it to any content.delta event consumed by the UI. Queue a content.start that carries the first delta's text alongside the interaction.start emission, and drain pending events before pulling the next upstream chunk. * chore(ui): remove unused InteractionOutput/InteractionResponse interfaces Co-authored-by: Yassin Kortam <yassin@berri.ai> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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761c280a6e |
fix(deepseek): use native /anthropic/v1/messages endpoint and sanitize tools (#28200)
* fix(deepseek): route messages api through anthropic config Add a DeepSeek-specific Anthropic Messages config so deepseek/... models use the native messages endpoint and preserve thinking blocks. Strip Anthropic custom tool type markers that DeepSeek rejects while keeping hosted tool types intact. * fix(deepseek): normalize anthropic messages api base Handle OpenAI-style DeepSeek api_base values ending in /v1 or /v1/messages by stripping those suffixes before adding the /anthropic messages path. * chore(deepseek): format messages transformation * chore(deepseek): add test package markers * fix(deepseek): tighten anthropic url path check and fall back to DEEPSEEK_API_BASE Author: mateo-berri <277851410+mateo-berri@users.noreply.github.com> * fix(tests): normalize smart quotes in realtime guardrail refusal check gpt-realtime nondeterministically returns refusals with Unicode curly apostrophes (e.g. 'I’m sorry, but I can’t assist with that.'), but the safe_markers tuple in test_text_message_blocked_by_guardrail_no_ai_response only contains straight ASCII apostrophes. The substring match then fails even though the response is a clear refusal, flipping CI red. Normalize the AI text to ASCII quotes before the marker check so both straight and curly variants count as safe outcomes. * fix(deepseek): drop redundant anthropic v1/messages endswith check * fix(deepseek): strip /beta suffix in anthropic messages URL normalization Co-authored-by: Yassin Kortam <yassin@berri.ai> --------- Co-authored-by: Felipe Rodrigues Gare Carnielli <felipe.gare@hotmail.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> |
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761ab19209 |
fix(bedrock): sanitize batch metadata to prevent Pydantic ValidationError (#28202)
* fix(bedrock): sanitize batch metadata to prevent Pydantic ValidationError Proxy guardrail hooks (Model Armor, OpenAI Moderations) and internal processing inject non-string values (dicts, floats) into the request metadata. When the Bedrock batch handler passes this metadata directly to LiteLLMBatch (which inherits OpenAI's Batch Pydantic model with metadata: Dict[str, str]), Pydantic raises a ValidationError. This causes the router retry loop to re-submit the same Bedrock job multiple times before ultimately failing. Add _get_openai_compatible_batch_metadata() that serializes non-string values to JSON strings via safe_dumps, skips None values and internal logging keys, ensuring the response object always validates. * test(bedrock): add tests for batch metadata sanitization Covers _get_openai_compatible_batch_metadata: string passthrough, dict/float serialization, None/internal key exclusion, and LiteLLMBatch compatibility. --------- Co-authored-by: Noah Nistler <60981020+noahnistler@users.noreply.github.com> |
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yuneng-jiangandGitHub
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a7f3dbcbe3 |
test(callbacks): harden flaky proxy callback-leak detector (#28195)
* test(callbacks): TEMP diagnostic probe for callback-leak flake Hardened leak detector (sample N, flag sustained monotonic per-type growth, normalize instance addresses) + a temporary always-fail probe on test_check_num_callbacks_on_lowest_latency that dumps the per-type series and raw reprs via the JUnit failure message, to settle real-leak vs bounded-pollution on CCI. Diagnostic block is clearly marked and will be reverted before the PR. * test(callbacks): harden proxy callback-leak detector, drop diagnostic CCI diagnostic confirmed the 85->95 jump is a bounded one-time registration from the test's own switch to latency-based-routing (+LowestLatencyLoggingHandler, +SlackAlerting), flat at 95 for 2.5 min under load — not a leak. Final detector: settle past the deliberate config/update, sample N times, flag only sustained monotonic per-type growth, normalize instance addresses, name the leaking type on failure. Removes the temporary always-fail probe. * test(callbacks): address review - drop redundant settle, close terminal-burst blind spot - test_check_num_callbacks: remove leftover sleep(30) before sleep(SETTLE_SECONDS) (60s -> 30s dead wait). - Add _terminal_suspects + _detect_leaks_confirmed: when monotonic net growth is confined to the final interval (escapes the >=2-interval guard), take one confirmation sample. A real ongoing leak keeps climbing and is flagged; a one-time terminal registration plateaus and is ignored. |
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73e32a31bf |
feat(prometheus): add user_email and user_alias to user budget metrics (#28155)
* feat(prometheus): add user_email and user_alias to user budget metrics User budget Prometheus gauges now expose human-readable labels alongside user_id, matching team and API key budget metrics for Grafana filtering. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(prometheus): gate user budget email/alias labels behind opt-in flag Address greptile review: adding labels to existing metrics is a breaking cardinality change. Gate behind prometheus_user_budget_label_include_email_alias=True (default: False) so existing dashboards and recording rules are unaffected. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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+8
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36c494fdd2 |
Litellm oss staging (#28161)
* fix(opentelemetry): JSON-serialize dict metadata fields for OTEL span attributes (#27451) (#27455) Squash-merged by litellm-agent from Anai-Guo's PR. * feat(dashscope): add embeddings and reranks(qwen3-rerank) support via OpenAI-compatible endpoint (#27508) Squash-merged by litellm-agent from yimao's PR. * fix(vertex_ai/gemini): raise BadRequestError when image_url or url fi… (#24550) Squash-merged by litellm-agent from krisxia0506's PR. * fix(vertex_ai): raise error on mid-stream 429/error chunks instead of silently swallowing (#23711) Squash-merged by litellm-agent from krisxia0506's PR. * fix: raise BadRequestError for file content blocks missing 'file' sub… (#24503) Squash-merged by litellm-agent from krisxia0506's PR. * Fix Gemini MIME detection for extensionless GCS URIs (#27278) Squash-merged by litellm-agent from krisxia0506's PR. * fix(vertex_ai/partner_models): drop unused vertexai SDK gate from count_tokens (closes #28084) (#28107) Squash-merged by litellm-agent from voidborne-d's PR. * feat(chart): add support for autoscaling behavior in HPA (#27990) Squash-merged by litellm-agent from FabrizioCafolla's PR. * feat(proxy): add blocked flag to models for pause/resume from the UI (#27927) Squash-merged by litellm-agent from Cyberfilo's PR. * fix: pass socket timeouts to Redis cluster clients (#27920) Squash-merged by litellm-agent from tomdee's PR. * Fix/cache token (#28009) Squash-merged by litellm-agent from escon1004's PR. * fix(deepseek): forward reasoning_content in multi-turn thinking mode conversations (#28080) Squash-merged by litellm-agent from Divyansh8321's PR. * fix(guardrails): return HTTP 400 instead of 500 for blocked requests (#27617) * fix: reset org and tag budgets (#27326) * reset org budgets * reset tag budgets --------- Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain> * fix(ui): omit allowed_routes from key edit save when unchanged (#27553) * fix(ui): omit allowed_routes from key edit save when unchanged When a team admin opens Edit Settings on a key with key_type=AI APIs and saves without changing anything, the UI re-sends the existing allowed_routes value, which the backend's _check_allowed_routes_caller_permission gate rejects for non-proxy-admins (LIT-2681). Strip allowed_routes from the patch in handleSubmit when it deep-equals the original keyData.allowed_routes. The backend treats absence as "leave alone," so no-op saves now succeed for non-admins. Admins explicitly editing the field still send the new value. * fix(ui): order-insensitive allowed_routes diff + cover null-original case Address Greptile review: - Switch the "is allowed_routes unchanged" check to a Set-based comparison so a server-side reorder of the array doesn't register as a user edit and re-trigger LIT-2681. - Add two regression tests: (1) keyData.allowed_routes is null and the form is untouched — patch should strip the field; (2) server returned routes in a different order than the user originally entered — patch should still recognize the value as unchanged. * chore(ui): strip ticket refs and tighten comments in key edit fix - Remove internal-tracker references from in-code comments - Tighten the WHY comment in handleSubmit to two lines - Drop redundant test-block comments — test names already describe the case * fix(ui): annotate Set<string> generic in allowed_routes diff to fix tsc * fix(guardrails): return HTTP 400 instead of 500 for guardrail-blocked requests GuardrailRaisedException and BlockedPiiEntityError both lacked a status_code attribute. When these exceptions reached the proxy exception handler (getattr(e, 'status_code', 500)), the fallback defaulted to HTTP 500 — making intentional guardrail blocks indistinguishable from server errors and causing unnecessary client retries. Changes: - Add status_code=400 (keyword-only) to GuardrailRaisedException - Add status_code=400 (keyword-only) to BlockedPiiEntityError - Update _is_guardrail_intervention() to recognize both exceptions so downstream loggers record 'guardrail_intervened' instead of 'guardrail_failed_to_respond' - Add 6 unit tests for default/custom status codes and getattr pattern - Strengthen existing blocked-action test with status_code assertion Fixes #24348 --------- Co-authored-by: Michael-RZ-Berri <michael@berri.ai> Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain> Co-authored-by: ryan-crabbe-berri <ryan@berri.ai> Co-authored-by: Krrish Dholakia <krrish+github@berri.ai> * fix(router/proxy): address Greptile P1+P2 review comments on PR #28161 - router: raise ServiceUnavailableError (503) instead of RouterRateLimitErrorBasic (429) when a specifically-addressed deployment is administratively blocked; 429 misleads retry-enabled clients into spinning forever against a paused model - proxy_server: compute get_fully_blocked_model_names() once before both branches in model_list() instead of duplicating the call in each branch - deepseek: upgrade silent debug log to warning when injecting placeholder reasoning_content so callers are clearly notified of degraded multi-turn quality - tests: update two blocked-deployment assertions to expect ServiceUnavailableError Co-authored-by: Cursor <cursoragent@cursor.com> * fix: address bug detection findings (cache token order, mutable defaults) Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: address bugs in async pass-through, anthropic cache token detection, rerank tests - async_get_available_deployment_for_pass_through: enforce blocked check on specific deployments - cost_calculator: detect anthropic-style usage by attribute presence (not truthiness) to avoid mixing OpenAI cached_tokens into anthropic normalization when read=0 - dashscope rerank tests: pass request to httpx.Response constructions for consistency Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix code qa * fix(vertex_ai/gemini): strip MIME parameters from GCS contentType GCS object metadata's contentType field can include parameters such as 'text/html; charset=utf-8'. Strip them in _apply_gemini_mime_type_aliases so downstream get_file_extension_from_mime_type sees a bare MIME type. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(vertex_ai/gemini): clarify mime-type error message string concatenation Co-authored-by: Yassin Kortam <yassin@berri.ai> --------- Co-authored-by: Tai An <antai12232931@outlook.com> Co-authored-by: Vincent <yimao1231@gmail.com> Co-authored-by: Kris Xia <xiajiayi0506@gmail.com> Co-authored-by: d 🔹 <liusway405@gmail.com> Co-authored-by: Fabrizio Cafolla <developer@fabriziocafolla.com> Co-authored-by: Filippo Menghi <113345637+Cyberfilo@users.noreply.github.com> Co-authored-by: Tom Denham <tom@tomdee.co.uk> Co-authored-by: escon1004 <70471150+escon1004@users.noreply.github.com> Co-authored-by: Divyansh Singhal <97736786+Divyansh8321@users.noreply.github.com> Co-authored-by: robin-fiddler <robin@fiddler.ai> Co-authored-by: Michael-RZ-Berri <michael@berri.ai> Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain> Co-authored-by: ryan-crabbe-berri <ryan@berri.ai> Co-authored-by: Krrish Dholakia <krrish+github@berri.ai> Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> |
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477b63c5ea |
fix(caching): replay openai/responses bridge cache hits as chat streams (#28158)
* fix(caching): replay openai/responses bridge cache hits as chat streams When chat completions route through openai/responses, cached ModelResponse payloads under aresponses keys were deserialized as ResponsesAPIResponse (500) or re-translated as responses events (empty streaming deltas). Deserialize chat-shaped cache entries as acompletion and bypass the responses stream iterator for cached CustomStreamWrapper replay. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(caching): map responses bridge call_type for sync vs async stream replay Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: handle ModelResponse cache return in responses bridge and drop dead acompletion check Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(caching): detect chat cache hits via object field before choices fallback Prefer chat.completion object type over the broad choices-key heuristic so Responses API cached payloads are not misclassified if their schema changes. Co-authored-by: Cursor <cursoragent@cursor.com> * test(caching): cover responses bridge cache-hit paths in CI-tracked test suite The new bridge cache replay logic in caching_handler.py and the preformatted-stream guard in litellm_responses_transformation/handler.py were exercised only by tests under tests/local_testing/, which the responses-caching-types and misc shards do not run. Codecov flagged the patch as 29.72% covered. Add equivalent unit tests under tests/test_litellm/ so the responses, caching, types, and misc shards execute them and ship their coverage data to Codecov: - _is_chat_completion_cached_dict happy/sad paths - aresponses streaming bridge cache hit -> CustomStreamWrapper - responses non-streaming bridge cache hit -> ModelResponse - legacy ResponsesAPIResponse stream + non-stream replay - _is_preformatted_cached_chat_stream true/false - completion/acompletion early return on cached ModelResponse - completion/acompletion skip rewrap on preformatted cached stream * fix: add negative guard on object field in _is_chat_completion_cached_dict Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(vcr): treat corrupt cassette payloads as cache miss * test: bump EOL'd NVIDIA rerank and OpenAI realtime models in CI The NVIDIA hosted rerank endpoint for nvidia/llama-3_2-nv-rerankqa-1b-v2 reached end-of-life on 2026-05-18 and now returns HTTP 410 Gone, breaking TestNvidiaNim::test_basic_rerank. Switch to nvidia/nv-rerankqa-mistral-4b-v3, which is still hosted on the NVIDIA API catalog and is already listed in model_prices_and_context_window.json. OpenAI also retired the gpt-4o-realtime-preview-2024-12-17 model used by test_realtime_guardrails_openai (now returns model_not_found). Switch the realtime test URL to the GA gpt-realtime alias. Unrelated to the responses-bridge cache fix in this PR, but committing here to unblock CI per maintainer guidance. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * test(realtime): switch retired gpt-4o-realtime-preview to gpt-realtime OpenAI removed gpt-4o-realtime-preview and all its date snapshots on 2026-05-18 (every variant now returns model_not_found), breaking the live-WebSocket OpenAI realtime tests in CI: - test_openai_realtime_direct_call_no_intent - test_openai_realtime_direct_call_with_intent - TestOpenAIRealtime.test_realtime_connection - TestOpenAIRealtime.test_realtime_with_query_params Point each of those to the current GA alias gpt-realtime (verified live). Pure unit/mock tests that just assert the string value (e.g. in test_realtime_query_params_construction and the test_realtime_query_params_use_normalized_model_name mock) are left alone since they do not depend on model availability. Also relax the AI-response assertion in test_text_message_blocked_by_guardrail_no_ai_response: gpt-realtime occasionally produces a polite refusal ("I'm sorry, but I can't say that") when the cancel arrives after the model has already started generating, which is the expected outcome (no real AI content) but does not contain the words 'blocked' or 'guardrail'. The primary guardrail behaviour (guardrail_violation error event + transcript_delta block message) is still asserted unchanged. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * test(nvidia_nim): mock rerank live API instead of hitting EOL'd endpoint NVIDIA reached end-of-life for the hosted nvidia/llama-3.2-nv-rerankqa-1b-v2 rerank API on 2026-05-18 (returns HTTP 410 Gone), and the proposed replacement nv-rerankqa-mistral-4b-v3 returns HTTP 404 for the CI account, breaking TestNvidiaNim::test_basic_rerank. Override test_basic_rerank to mock the HTTP transport (same pattern as test_nvidia_nim_rerank_ranking_endpoint above) so the request/response transformation and cost calculation stay covered without depending on NVIDIA's hosted catalog rotation. The model identifier reverts to the original llama-3.2-nv-rerankqa-1b-v2 since the request never leaves the test process. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> |
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yuneng-jiangandGitHub
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ce87c411bf |
fix(tests): migrate realtime + rerank tests off shut-down upstream models (#28191)
* fix(tests): use gpt-realtime in realtime guardrails test
OpenAI shut down gpt-4o-realtime-preview-2024-12-17 on 2026-05-07, so
the live OpenAI realtime guardrails integration test now fails with
model_not_found (session.created never arrives, _wait_for_event times
out). Point OPENAI_REALTIME_URL at the current GA model, gpt-realtime.
Scope limited to this test: the pricing-catalog JSON keeps the retired
entries intentionally (historical cost calc + separate Azure timeline),
and the Azure realtime cost-calc test is unaffected.
* fix(tests): mock nvidia_nim rerank instead of hitting EOL'd endpoint
NVIDIA reached end-of-life for the hosted nvidia/llama-3.2-nv-rerankqa-1b-v2
rerank API on 2026-05-18 with no published replacement, so the live
BaseLLMRerankTest.test_basic_rerank for nvidia_nim now returns HTTP 410
("Gone"). NVIDIA's hosted catalog rotates on a schedule, so swapping in
another live model would only defer the failure.
Override test_basic_rerank in TestNvidiaNim to mock the sync/async HTTP
transport (same pattern as test_nvidia_nim_rerank_ranking_endpoint in this
file) and inject a fake NVIDIA_NIM_API_KEY via monkeypatch. The
request/response transformation and cost calculation stay covered offline.
Scope limited to nvidia_nim; other BaseLLMRerankTest providers untouched.
* fix(tests): migrate remaining realtime tests off shut-down gpt-4o-realtime-preview
OpenAI's 2026-05-07 shutdown removed the entire gpt-4o-realtime-preview
family, including the undated 'gpt-4o-realtime-preview' alias (not just the
dated snapshot fixed earlier). Three live tests still connected with the
dead alias and failed with messages_received=1 (an error event instead of
session.created):
- test_openai_realtime_simple.py: get_model() -> gpt-realtime (drives
TestOpenAIRealtime.test_realtime_connection / test_realtime_with_query_params)
- test_openai_realtime.py: test_openai_realtime_direct_call_no_intent and
test_openai_realtime_direct_call_with_intent -> openai/gpt-realtime
(the with_intent test shares the same dead alias even though it was not
in the failing set this run)
Mocked unit tests (test_realtime_query_params_construction,
test_realtime_query_params_use_normalized_model_name) are left as-is: they
never hit the network and assert string plumbing only.
Also fixes test_text_message_blocked_by_guardrail_no_ai_response, which now
connects (the earlier URL swap worked) but tripped a model-wording-brittle
assertion. The guardrail flow asks the model to voice the block message
verbatim; gpt-4o-realtime-preview complied (output contained 'blocked'),
gpt-realtime refuses verbatim-repeat instructions ('I'm sorry, but I can't
repeat that message.'). Since the original user message is blocked before
it reaches OpenAI, the refusal is still a safe outcome. Assertion #3 now
accepts both voicing and refusal, and adds a hard check that the blocked
phrase never leaks into AI output.
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8c6625216b |
fix(bedrock/cohere): send embedding_types as JSON array, not string (#28172)
* fix(bedrock/cohere): wrap embedding_types as list in map_openai_params Bedrock Cohere expects embedding_types as a JSON array but encoding_format was passed through as a raw string, causing: Malformed input request: #/embedding_types: expected type: JSONArray, found: String * test(bedrock/cohere): assert embedding_types is sent as JSON array --------- Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com> |
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bb448b0031 |
fix(tests): stabilize image-edit VCR cassettes to stop live gpt-image-1 spend (#28110)
* fix(tests): stabilize image-edit VCR cassettes to stop live gpt-image-1 spend
The image-edit cassettes for ``gpt-image-1`` were accumulating >50
episodes and being refused by the persister
(``tests/_vcr_redis_persister.py``), so every CI run was hitting the
real OpenAI endpoint. The async parametrize was the clearest tell:
``test_openai_image_edit_litellm_sdk[True]`` cached to 1 entry, but the
``[False]`` (async) sibling grew to 51 entries and never replayed.
Two non-deterministic sources were fueling the growth, both fixed
here. After this patch, the cassettes settle at one episode per
unique call and replay for the 24-hour TTL like every other suite.
1. Pin httpx's multipart boundary at the source. The existing
``_normalize_multipart_boundary`` rewrites the boundary in the
``Content-Type`` header reliably, but on the async transport path
the body is not always a contiguous ``bytes`` object when
``before_record_request`` runs, so the body-side replacement
silently no-ops and the recorded cassette retains the random
``boundary=<hex>`` string. The next CI run gets a fresh random
boundary, the ``safe_body`` matcher misses, and
``record_mode="new_episodes"`` appends another episode. Wrapping
``httpx._multipart.MultipartStream.__init__`` so it always uses
``vcr-static-boundary`` when no boundary is supplied eliminates
the variance for both sync and async paths and leaves the normalizer
in place as a backstop. Exposed as
``pin_httpx_multipart_boundary`` so other multipart-heavy suites
(audio, ocr, batches) can adopt the same fixture later.
2. Pass raw ``bytes`` (not ``BytesIO`` streams) through the
image-edit fixtures. A ``BytesIO`` whose file pointer is at EOF
after the first multipart upload silently encodes an empty image on
the next SDK / Router retry — yet another divergent body that VCR
records as a new episode. ``bytes`` are immutable and position-less,
so retries re-encode an identical payload every time. This is also
a small production-correctness improvement: a customer passing
``BytesIO`` today would hit the same empty-body retry bug. The
BytesIO-specific smoke test
(``test_openai_image_edit_with_bytesio``) is preserved by giving
``get_test_images_as_bytesio`` its own factory instead of aliasing
the bytes one.
3. Add ``scripts/flush_image_edit_vcr_cassettes.py`` — a one-shot
Redis SCAN/DEL helper that clears the bloated pre-fix cassettes
under ``litellm:vcr:cassette:tests/image_gen_tests/test_image_edits/*``.
Without this, the next CI run still loads the existing 51-entry
cassette, the new fixed-boundary body still doesn't match any of
the stale entries, the persister still refuses to save, and the
bleed continues. Run once with the production
``CASSETTE_REDIS_URL`` after merge (dry-run by default).
* DIAGNOSTIC: log VCR body mismatches + per-episode body hashes
Temporary observability boost so we can root-cause why
``test_image_edits.py`` async parametrizes still record fresh
episodes on every CI run even though the multipart boundary is now
pinned (sync parametrizes cache cleanly as VCR HIT). The matcher
currently raises ``AssertionError("request bodies differ")`` with
zero context, so we cannot tell whether the live body genuinely
varies, the matcher is comparing a bytes object to a stream object,
or the normalizer is silently skipping the body because it is not
bytes/str.
Three logs added; the first two are worth keeping permanently, the
third is intended to be reverted after the diagnosis lands:
1. ``_safe_body_matcher`` now emits a structured stderr block on
mismatch (type of each side, length, SHA-256, first divergent
byte offset, ±100-byte window). Always-on -- mismatches are
signal, not noise, and the existing per-test verdict already
logs once per test. PERMANENT.
2. ``_normalize_multipart_boundary`` now logs to stderr when the
body type is not bytes/bytearray/str -- the silent ``else:
return`` branch was masking exactly the case we suspect is
firing on async (httpx ``MultipartStream`` handed to vcrpy
before the body is read). PERMANENT.
3. ``_RedisPersister.save_cassette`` now logs every episode's body
SHA-256, length, and 120-byte preview at save time. This lets
two consecutive CI runs be diffed: if the same test records a
different hash run-to-run, the live body genuinely varies; if
both runs record the same hash but the matcher still misses, the
bug is in the matcher itself. TEMPORARY -- revert once the
async variance is identified and fixed.
Once a single ``image_gen_testing`` CI run produces these logs,
revert this commit (or just the persister hash block) with a force
push so the cassette save path is not noisy in steady-state.
* DIAGNOSTIC: route VCR diagnostics through per-PID files (bypass xdist capture)
Re-push of the diagnostic logging from the previous commit, this
time wired so the output actually survives to the CI log. xdist
captures stdout/stderr from every passing test in the worker
process; the body-matcher and normalizer-skip diagnostics fire from
inside vcrpy machinery during the test, so for any test that
ultimately passes (which is all of them once the cassettes are
recorded), the diagnostic lines are silently swallowed.
Fix: write each diagnostic line to a per-PID file under
``test-results/vcr-diagnostics/<pid>.log`` instead of writing to
stderr. The controller's ``pytest_terminal_summary`` aggregates
those files and writes them through ``terminalreporter.write_line``,
which is not subject to per-test capture. As a bonus,
``test-results/`` is already collected by the ``store_test_results``
step in CircleCI, so the raw per-worker logs survive as build
artifacts even after the test session ends.
Three call sites updated:
1. ``_emit_body_mismatch_diagnostic`` (matcher) -- writes the
structured type/length/sha/window block via ``vcr_diag_write_line``.
2. ``_normalize_multipart_boundary`` -- logs the silent-skip path
(body not bytes/bytearray/str) the same way.
3. ``_maybe_log_episode_body_hashes`` (persister) -- replaces the
``_log.warning`` calls (which the root-logger config also
swallows in CI) with ``vcr_diag_write_line``.
Image-gen conftest is the only suite wired to dump the aggregated
log at session end. Other suites can opt in by adding
``emit_vcr_diagnostic_log(terminalreporter)`` to their own
``pytest_terminal_summary``. The diagnostic dir is cleared at the
start of each session (controller-only) so a local rerun does not
mix output from prior runs.
Same revert plan as the previous diagnostic commit: keep the
matcher + normalizer skip diagnostics permanently (they only fire
on signal events), revert the persister body-hash dump once the
async variance is identified.
* fix(tests): coalesce iterable request bodies before matching/recording
Root cause of the residual async image-edit cassette leak. The
diagnostic run for ``ba3915d9`` printed:
[vcr-safe-body-matcher] request body mismatch
body[a]: type='list_iterator' length=unknown sha256=N/A
body[b]: type='list_iterator' length=unknown sha256=N/A
httpx's async transport hands vcrpy a ``request.body`` that is a
``list_iterator`` over multipart chunks rather than a contiguous
``bytes`` blob. Two consequences:
1. ``_safe_body_matcher`` compares the two iterator objects with
``==``, which is identity comparison for arbitrary iterators -
semantically identical multipart bodies never compare equal, and
``record_mode="new_episodes"`` appends a new episode on every CI
run until the cassette crosses ``MAX_EPISODES_PER_CASSETTE`` and
the persister refuses to save (this is exactly what the OVERFLOW
warning has been catching).
2. ``_normalize_multipart_boundary`` short-circuits its
``else: return`` branch because the body is neither bytes nor
str, so any residual random boundary characters in the body bytes
are never rewritten.
Sync requests do not hit this code path: httpx's sync transport
hands vcrpy a single ``bytes`` body, so ``==`` works and the
boundary normalizer runs as intended. That is why
``test_openai_image_edit_litellm_sdk[True]`` records to ``entries=1``
and replays cleanly while ``[False]`` (async) kept growing by one
episode per run.
Fix: add ``_materialize_iterable_body`` which coalesces an iterable
``request.body`` into ``bytes`` in-place. Call it from two places:
* The top of ``_before_record_request``, so the boundary normalizer
and the cassette serializer both see bytes from then on.
* The top of ``_safe_body_matcher``, as defense in depth in case a
future vcrpy code path invokes the matcher without first going
through ``_before_record_request``.
The vcrpy ``Request`` is a wrapper used for matching and recording;
the underlying httpx transport sends its own request body
separately, so replacing the iterator on the vcrpy wrapper does
not starve the live HTTP send.
After this lands the async parametrizes should flip from
``[VCR MISS:RECORDED] entries=N+1`` to ``[VCR HIT] entries=N`` on
the next CI run, matching the sync side and dropping the residual
~$3/day to $0.
* fix(tests): handle bytes_iterator + never leave an exhausted body
Follow-up to 8e08272b. The previous attempt at coalescing iterable
request bodies bailed out (``return`` without writing
``request.body``) whenever it could not classify the chunk type.
That was the wrong failure mode for one critical case: vcrpy
sometimes presents the body as ``iter(some_bytes)``, whose Python
type is ``bytes_iterator`` and which yields ``int`` byte values
(0-255), not byte chunks. The old code saw an ``int`` chunk, hit
the ``else: return`` branch, and left ``request.body`` pointing at
the now-exhausted iterator.
The post-fix diagnostic run made this loud:
[vcr-safe-body-matcher] request body mismatch
body[a]: type='bytes_iterator' length=unknown sha256=N/A
body[b]: type='bytes_iterator' length=unknown sha256=N/A
Every async image-edit test then ballooned from entries=2 to
entries=10 in that single CI run -- the exhausted iterator meant
the live multipart upload went out as an empty body, OpenAI
returned 400, the SDK + flaky retries fired, each retry got a
fresh iterator that my hook exhausted again, and ``new_episodes``
recorded each failed attempt as a new cassette episode.
This patch:
* Recognizes ``bytes_iterator`` (chunks are ``int``) and
reconstructs the buffer via ``bytes(chunks)``.
* Keeps the existing ``list_iterator``-over-bytes-chunks handling
via ``b"".join(...)``.
* **Always writes a bytes value back to ``request.body`` after
consuming the iterator.** If the chunk shape is unrecognized,
``request.body`` is set to ``b""`` rather than left as an
exhausted iterator. That is wrong in the sense of "we lost the
body" but right in the sense of "the failure mode is now visible
(live API call sends empty body and fails fast) instead of
invisible (corrupt cassette grows silently)". Combined with the
matcher diagnostic, any future regression in this code path will
surface in the CI log immediately.
Local verification covers ``bytes_iterator``, ``list_iterator``
over bytes chunks, generator over bytes chunks, empty iterator,
already-bytes (idempotent), identical-content iterator equality
in the matcher (now matches), and differing-content iterator
inequality (still raises).
* fix(tests): clear vcrpy's sticky _was_iter flag so materialized bodies stay bytes
Actual root cause of the async image-edit cassette leak. The
previous diagnostic run produced this dead giveaway:
[vcr-episode-body-hash] ... episode[0]: body type='bytes_iterator'
is not bytes/bytearray/str -- cannot hash
[vcr-safe-body-matcher] request body mismatch
body[a]: type='bytes_iterator' length=unknown sha256=N/A
body[b]: type='bytes_iterator' length=unknown sha256=N/A
Both sides of the matcher were ``bytes_iterator`` **after** the
materializer had supposedly converted them to bytes. That made no
sense until I read vcrpy's ``Request`` class.
vcrpy's ``Request`` keeps two private flags that are set in
``__init__`` from the original body's type and **never cleared by
the setter**:
def __init__(self, method, uri, body, headers):
self._was_file = hasattr(body, "read")
self._was_iter = _is_nonsequence_iterator(body)
...
@property
def body(self):
if self._was_file: return BytesIO(self._body)
if self._was_iter: return iter(self._body)
return self._body
@body.setter
def body(self, value):
if isinstance(value, str): value = value.encode("utf-8")
self._body = value # <-- does NOT touch _was_iter / _was_file
So when httpx's async transport hands vcrpy an iterator body,
``_was_iter`` becomes ``True`` and stays there forever. Even after
``_materialize_iterable_body`` writes plain bytes via
``request.body = out``, the next read of ``.body`` re-wraps the
stored bytes in ``iter()`` -- producing a fresh ``bytes_iterator``
that compares unequal to any other ``bytes_iterator`` via object
identity. The matcher missed every time, the cassette grew by one
episode per run, and the persister saw the same iterator type when
trying to hash the body for the diagnostic log.
Fix: after writing the materialized bytes, also force
``_was_iter`` and ``_was_file`` to ``False``. vcrpy exposes no
public API for this, so we touch the private flags directly --
acknowledged as a pragmatic test-only hack with a clear unit
boundary (the only call site is ``_materialize_iterable_body``).
Local repro reproduces the exact production setup:
``Request('POST', url, iter(b'multipart-content'), {})`` on two
sides, runs the matcher, asserts HIT. Verified the matcher hits on
identical content and still raises on differing content.
Should be the last fix needed. Existing cassettes that contain
oddly-shaped bodies (lists of int chunks, etc. from the previous
``_was_iter=True`` save path) still match because the materializer
canonicalises both sides to bytes before comparison -- no fourth
re-flush required.
* revert(tests): drop the temp per-episode body-hash diagnostic
Removed now that 1c51ad13 has confirmed the root cause (vcrpy's
sticky ``_was_iter`` flag making the body getter re-wrap stored
bytes in ``iter()`` on every access). The hash dump did its job --
the post-1c51ad13 image_gen_testing run shows all five async
image-edit tests as ``[VCR HIT]`` with stable entry counts and
zero billing errors -- and is too noisy to keep on by default
(over 100 lines per session at steady state).
Kept permanently:
* ``_safe_body_matcher`` mismatch diagnostic in
``_vcr_conftest_common.py``. Only fires on a body mismatch,
which is signal worth surfacing whenever it happens.
* ``_normalize_multipart_boundary`` "skipped" log line. Same
rationale -- only fires when the body shape is something the
normalizer cannot rewrite in place.
* The ``test-results/vcr-diagnostics/<pid>.log`` per-PID file
plumbing (``vcr_diag_write_line`` /
``emit_vcr_diagnostic_log``). Useful for any future diagnostic
that needs to bypass xdist stdout/stderr capture; cheap to keep.
* chore(tests): delete unused flush script + wire VCR diagnostic dump everywhere
* Remove ``scripts/flush_image_edit_vcr_cassettes.py``. It was a
one-shot helper for the initial cassette flush; the iterator and
``_was_iter`` fixes mean no future flush should be required, and
the script was never run anywhere (the actual flushes happened
inside the CI conftest via the temp hacks that have since been
reverted).
* The matcher mismatch + normalizer skip diagnostics already write
per-PID files for every suite that imports the shared VCR
plumbing, but ``emit_vcr_diagnostic_log`` -- the controller-side
dump that surfaces those files into the CI log at session end --
was only wired into ``image_gen_tests``. Add the one-line call to
the 12 sibling conftests that already use VCR so the diagnostics
surface in any suite's terminal output if a body matcher ever
misses. No new output in steady state -- the dump is a no-op when
no diagnostics were recorded that session.
* chore(tests): trim non-essential comments per project comment policy
Strips docstrings, inline comments, and block comments that this PR
introduced where the code itself was already self-evident. Keeps the
few lines that document non-obvious behaviour (raw-bytes-not-BytesIO
rationale on the image fixtures, the per-PID-files-bypass-xdist note
on the diagnostic directory). Touches only comments this PR added --
no pre-existing comment is removed.
Net: -161 lines of comment/docstring across 3 files, no code
behaviour change.
* chore(tests): forward **kwargs in pin_httpx_multipart_boundary wrapper
Defensive against future httpx MultipartStream.__init__ adding new
optional kwargs. Without the forward, the wrapper would silently drop
them. No behaviour change today.
* chore(tests): canonicalize VCR matchers and surface shouldn't-happen branches
Bundles the "follow-up cleanup PR" into this one so it does not get
lost. Four small changes:
1. Introduce ``_canonical_body(req) -> (bytes, pre_type)`` and route
``_safe_body_matcher`` through it. The matcher now operates on
bytes by construction; the "compare two iterator objects via
``==`` and silently get object-identity semantics" failure mode
(which cost us this entire PR to diagnose) is structurally
impossible to reintroduce. ``pre_type`` is the body type *before*
canonicalization, surfaced by the mismatch diagnostic so a future
regression involving a new body shape is still visible.
2. Add a structured diagnostic to ``_key_fingerprint_matcher``. It
was previously raising a bare ``AssertionError("API key
fingerprints differ")`` with zero context -- exactly the
anti-pattern the body matcher had before this PR.
3. Surface "shouldn't-happen" branches via ``vcr_diag_write_line``:
* ``_strip_image_b64_payloads`` -- logs when ``response``,
``response['body']``, or ``response['body']['string']`` arrives
in an unexpected shape (vcrpy contract violation).
* ``_compute_key_fingerprint`` -- logs the ``"no-key"`` fallback
with the request method/URL so a stripped-auth-header bug is
visible instead of masked.
* ``_canonical_body`` -- logs its own empty-bytes fallback when a
body has a shape ``_materialize_iterable_body`` did not handle.
4. Re-introduce per-episode body-hash logging in
``_RedisPersister.save_cassette`` (was reverted in 927c5548 as
"noisy"). Quantified cost: ~25 KB of CI log per session at peak,
~ms-scale CPU, zero output in steady state (no save = no log).
Trade-off favours keeping it: lets two consecutive CI runs be
diffed by body hash, which is how we will spot the next regression
in the same class.
All call sites still work: local repro confirms iter==iter HIT,
iter!=iter raises, plain-bytes HIT, body-hash log emits via the same
per-PID file plumbing as the matcher diagnostics.
* chore(tests): symmetrize diag-log cleanup across every VCR-using conftest
``image_gen_tests/conftest.py`` was the only suite that cleared
``test-results/vcr-diagnostics/*.log`` at session start. The other 12
VCR-using conftests inherited any stale per-PID logs from a previous
local run and would dump them in the terminal summary -- harmless in
CI (fresh container) but confusing locally when running multiple
suites in sequence.
Extracts the cleanup into a ``reset_vcr_diag_dir`` helper in
``tests/_vcr_conftest_common.py`` and calls it from every VCR-using
conftest's ``pytest_configure``. Same single source of truth, no
inline duplication.
* fix(tests): gate body materialization on __next__ and strip PR comments
aiohttp/vcrpy stores the json kwarg as a dict; _materialize_iterable_body
was iterating it via __iter__ and joining the keys, replacing the request
body with concatenated key names ("textlanguageentities"). Gate on
__next__ so containers (dict/list/tuple) are left alone — only single-use
iterators like httpx's bytes_iterator / list_iterator are materialized.
Log diagnostic line when chunk type is unrecognized.
* fix(tests): JSON-encode dict bodies in canonical_body for stable matching
aiohttp stubs store the json kwarg as a dict; the fallback that compared
all dicts as b"" caused concurrent presidio analyze calls to be served
the wrong cassette episode. JSON-encode with sort_keys for stable bytes.
* fix(tests): guard emit_vcr_diagnostic_log against multi-conftest re-emission
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* fix(tests): globalize multipart-boundary pin + stabilize whisper fixtures
Diagnostic shows audio_testing was silently re-recording 50+ live Whisper
episodes per CI run (over MAX_EPISODES_PER_CASSETTE, so the persister
refused to save). Two changes:
* Move the session-autouse _pin_multipart_boundary fixture into the
shared _vcr_conftest_common module so every VCR-using suite picks it
up via a single import. image_gen had it inline; the other 12 suites
silently lacked it.
* Replace the module-level open("rb") audio file handles in test_whisper
with cached bytes + a per-call (filename, bytes, mimetype) tuple,
mirroring the image_edits raw-bytes pattern. Stops the file-pointer-
at-EOF bug where the second test got an empty multipart body.
* chore(tests): drop per-episode body-hash dump and redundant emit guard
---------
Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
|
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ryan-crabbe-berriandGitHub
|
fe63650ebd |
fix(proxy): gate team allowed_passthrough_routes to proxy admins (#28097)
* fix(proxy): gate team allowed_passthrough_routes to proxy admins allowed_passthrough_routes short-circuits the role-based route gate, so the keys endpoints already restrict it to proxy admins. The team writers (/team/new, /team/update) had no equivalent check, letting an org admin (a non-proxy-admin who clears the route gate and _verify_team_access) self-grant pass-through routes on their team. Lift the keys check into a shared helper and apply it to both team endpoints. Resolves LIT-3019 * docs(proxy): note view-only admins are intentionally excluded from passthrough gate Clarifies the proxy-admin guard per review feedback; no behavior change. Refs LIT-3019 |
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yuneng-jiangandGitHub
|
cf9b5e4fa7 |
[Infra] Bump versions (#28094)
* bump: version 0.1.40 → 0.1.41 * bump: version 1.85.0 → 1.86.0 * add uv lock |
||
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1b0ae3af83 |
fix(mcp-oauth): PROXY_BASE_URL escape hatch + diagnostic logging for {"detail":"invalid_request"} (#28086)
* fix(mcp-oauth): add PROXY_BASE_URL escape hatch + diagnostic logging for invalid_request
Customers hitting "{"detail":"invalid_request"}" on the MCP /authorize
endpoint had no way to recover when their ingress mangles X-Forwarded-*
headers (the same-origin check in validate_trusted_redirect_uri compares
the browser-supplied redirect_uri against get_request_base_url, which is
reconstructed from those headers).
Two contained changes:
1. get_request_base_url now honours PROXY_BASE_URL as the canonical
public origin when set, bypassing the X-Forwarded-* trust gate
entirely. Operators who know their public URL can set it once
instead of debugging ingress header rewrites.
2. The rejection path in validate_trusted_redirect_uri emits a WARN
log carrying the redirect_uri, computed proxy base, and the
X-Forwarded-* / Host headers seen. A bare 400 was undiagnosable;
this turns it into a one-line root-cause.
* test(mcp-oauth): capture warnings from correct logger ("LiteLLM")
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* fix(mcp-oauth): reject malformed PROXY_BASE_URL with one-shot diagnostic
A scheme-less PROXY_BASE_URL (e.g. "litellm.example.com" instead of
"https://litellm.example.com") would sail through urlparse with empty
scheme + netloc, silently breaking every same-origin compare in
validate_trusted_redirect_uri and leaving the operator staring at the
same opaque 400 the env var was meant to fix.
Validate it once at read time: only honour values that parse as
http(s) URLs with a non-empty netloc; otherwise log a one-shot WARN
naming the bad value and fall through to the request-derived origin
so the proxy still serves traffic.
* fix(mcp/oauth): normalize PROXY_BASE_URL to strip query/fragment
Match the X-Forwarded-* path's normalization so a configured
PROXY_BASE_URL containing a query string or fragment does not break
downstream f-string concatenation like f"{base_url}/callback".
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* refactor(mcp-oauth): drop non-essential comments from PROXY_BASE_URL changes
Strip narrative comments and verbose docstrings added in this PR; the
code is intuitive enough on its own and the log messages already carry
their own diagnostic context. Pre-existing comments are left untouched.
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
|
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|
3d5a9ede05 |
feat: add Terraform stacks for deploying LiteLLM on AWS and GCP (#27673)
- Add AWS ECS Fargate stack with Aurora Postgres (IAM auth), ElastiCache Redis, S3, ALB with path-based routing to gateway/backend/ui components, Application Auto Scaling, and automated DB bootstrap + prisma migration via local-exec provisioners - Add GCP Cloud Run stack with Cloud SQL Postgres (password auth), Memorystore Redis, GCS, external HTTPS load balancer with serverless NEGs and URL map routing, and automated prisma migration via Cloud Run Job - Both stacks support typed proxy_config input mirroring the helm chart's gateway.config.proxy_config, per-component extra env vars, and Secret Manager references for provider API keys - Gateway/backend services depend on terraform_data.migration so they never start before the schema is in place, eliminating crash-loop windows on first apply - AWS stack uses IAM database authentication with a one-shot Fargate bootstrap task that creates and grants the rds_iam role to the application user; GCP stack uses password auth assembled at container startup to avoid Cloud SQL Auth Proxy sidecar complexity - Add .gitignore rules for Terraform state files, plan files, tfvars inputs, provider binaries, and crash logs while explicitly keeping .terraform.lock.hcl for provider version pinning - Include terraform.tfvars.example files, provider lock files, and comprehensive README documentation covering architecture, TLS setup, image pull strategies, and quick-start instructions for both stacks Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu> |
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fbe0ee81f1 |
fix(proxy): sort BYOK models by their displayed name in /v2/model/info (#28079)
* fix(proxy): sort BYOK models by team_public_model_name in /v2/model/info
Team BYOK rows persist an internal `model_name` like
`model_name_{team_id}_{uuid}` and expose the user-facing name via
`model_info.team_public_model_name`. The UI's `getDisplayModelName`
and the search filter already fall back to that field, but
`_sort_models` was keying off the raw `model_name` — so BYOK rows
ranked by their opaque IDs and clumped at the end of the alphabetized
list instead of interleaving with non-BYOK rows.
Match the UI/search behavior: prefer `team_public_model_name` when
present, fall back to `model_name` otherwise.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(proxy): case-insensitive DB-side search for BYOK models
`_apply_search_filter_to_models` used Prisma's JSON path
`string_contains` to match the BYOK `team_public_model_name` field, but
that operator is case-sensitive in Postgres (no `mode: insensitive`
flag like column-level string filters have). So a search for "claude"
missed a stored "Claude Sonnet" via the DB branch even though the
router-side path matched it case-insensitively.
Widen the JSON branch to "row has a team_public_model_name set" and
filter case-insensitively in Python so DB-only BYOK rows match the
same terms users see in the UI. This also drops the now-unused
DB-level page-size optimization and `sort_by` knob — the in-Python
filter is the source of truth for `db_models_total_count` now.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(proxy): scope BYOK search results to caller's accessible teams
`_apply_search_filter_to_models` was widened to fetch every row with a
`team_public_model_name` set so case-insensitive search could match
mixed-case stored names. `/v2/model/info` is reachable by non-admin
keys though, and the helper ran before `include_team_models` / `teamId`
filtering — so a non-admin caller could search a common substring like
"claude" and see BYOK rows belonging to teams they're not a member of.
Resolve the caller's team membership once (admin → no scoping, else
their `user_row.teams`) and drop BYOK rows (those with
`model_info.team_id` set) outside that scope on both the router-side
matches and the over-broad DB query, before display-name matching.
Non-team rows are unaffected and remain gated by the existing
`include_team_models` / `direct_access` paths.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(proxy): search by team_public_model_name and scope teamId queries
- /v2/model/info search now matches both `model_name` and
`model_info.team_public_model_name`, so team BYOK rows (which persist
an internal `model_name_{team_id}_{uuid}`) are findable by the public
name shown in the UI. DB query OR-includes a JSON-path match on
`team_public_model_name` for rows that exist only in the DB.
- `_filter_models_by_team_id` no longer short-circuits on the viewer's
`direct_access` flag — that describes the admin viewer's own
permissions and would leak every public model into a team-scoped view.
Models are kept only when they belong to the team (own BYOK, in
access_via_team_ids, or reachable via team.models / access groups).
- Added `_authorize_team_id_query`: the untrusted `teamId` query
parameter now requires the caller to be a proxy admin or a member of
the requested team, otherwise returns 403. Without this, any
authenticated user could enumerate another team's BYOK metadata by
guessing the team id.
- `_get_caller_byok_team_scope` now treats `PROXY_ADMIN_VIEW_ONLY` the
same as `PROXY_ADMIN` (both are admin roles); previously VIEW_ONLY
admins fell through to a user-id team lookup and saw only their own
teams' BYOK rows.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(proxy): bound BYOK search DB fetch in /v2/model/info
Previously the DB-side search OR'd a JSON-path predicate
`{model_info: {path: [team_public_model_name], string_contains: ""}}`
to compensate for Prisma's case-sensitive JSON `string_contains` on
Postgres. That predicate matches every row that has any
`team_public_model_name` set, so any authenticated caller could force a
full BYOK-table read with `/v2/model/info?search=x` regardless of page
size.
Drop the JSON-path branch. The DB query now does a bounded
`model_name contains <search>` lookup. BYOK rows that are loaded into
the router are still searchable by their `team_public_model_name` via
the router-side filter; only the rare edge case of a BYOK row that
exists only in the DB (router sync failed) loses display-name search,
which is an acceptable trade-off given the DoS surface.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(proxy): bound DB find_many in /v2/model/info search
The previous bounding patch dropped the page-aware `take=N` on
`find_many`, so a broad `?search=model` would load and decrypt every
matching DB row on each request even though the response only returns
one page.
Restore bounded fetches in `_apply_search_filter_to_models`:
* Unsorted searches use `take = max(0, page * size - router_count)`,
i.e. exactly one page worth of remaining DB rows.
* Sorted searches need ordering across the full match set, so they cap
at `_SORTED_SEARCH_DB_FETCH_CAP = 500` instead of fetching everything.
* Total count comes from a cheap `count(...)` query so pagination stays
accurate without materializing every row.
Wired `page`, `size`, and `sortBy` through from the endpoint and added
a regression test covering both `take` values.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor(proxy): extract DB-fetch helper to satisfy PLR0915
_apply_search_filter_to_models tripped Ruff's "too many statements"
(51 > 50) after the bounded-fetch fix. Move the DB-side block into
`_fetch_db_models_for_search`, which keeps the same behavior:
* Bounded `take` via page math (unsorted) or `_SORTED_SEARCH_DB_FETCH_CAP`
(sorted)
* Cheap `count(...)` for accurate pagination totals
* Caller-team scope applied to fetched rows before decrypt
Pure refactor; no behavior change. All 8 BYOK/team tests still pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* style: apply black formatting to _fetch_db_models_for_search
CI's "Check Black formatting" step flagged one line in the helper added
in d55eecf6af. No behavior change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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yuneng-jiangandGitHub
|
cd551f6fdb | chore: update Next.js build artifacts (2026-05-16 22:22 UTC, node v20.20.2) (#28095) | ||
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ryan-crabbe-berriandGitHub
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86f73e5e8a |
feat(otel): set http.response.status_code on the success SERVER span (#28090)
The proxy SERVER span ("Received Proxy Server Request") only carried
http.response.status_code on failures (set in _record_exception_on_span),
so success traces had no 2xx bucket — error-ratio and status-breakdown
dashboards were missing their denominator and the span violated the HTTP
semconv (the attribute is required whenever a response is sent). Add a
set_response_status_code_attribute helper and call it from
async_post_call_success_hook with 200, symmetric with the failure path
and the existing route/preprocessing-duration SERVER-span attributes.
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1b9acecbb3 |
feat(model_catalog): add Azure AI Foundry GPT-5.4 model metadata (#28030)
* feat(model_catalog): add Azure AI Foundry GPT-5.4 model metadata Register azure_ai GPT-5.4 variants with pricing, context limits from Foundry catalog, and capability flags for cost routing and tooling. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(model_catalog): tighten Azure AI GPT-5.4 cost and capability metadata Add supports_web_search for base GPT-5.4 aliases, priority-tier Pro rates, and mini/nano above-272k plus priority pricing for correct spend math. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(model_catalog): sync web_search flag on Azure AI GPT-5.4 dated backup row Mirror supports_web_search for azure_ai/gpt-5.4-2026-03-05 in the backup catalog so it matches model_prices_and_context_window.json. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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yuneng-jiangandGitHub
|
fbb39ef94d |
build(deps): pin openai==2.33.0 in uv.lock (#28088)
openai 2.34.0 began rejecting an explicitly-passed empty-string api_key at client construction (raises OpenAIError before any request), which broke tests/local_testing/test_exceptions.py::test_exception_with_headers and related cases after uv.lock floated openai 2.33.0 -> 2.36.0. Pin back to 2.33.0 (within the existing pyproject >=2.20.0,<3.0.0 range) as a temporary stopgap; longer-term fix to follow. |
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ryan-crabbe-berriandGitHub
|
0300333753 |
feat(otel): OTel-standard attributes on the proxy SERVER span (status code, route/path, preprocessing latency) (#28040)
* feat(otel): expose http.response.status_code on failure spans
Set the OTel-standard http.response.status_code (integer) on failure
spans alongside the existing OpenInference error.code (kept for
back-compat). error.type is already emitted via ERROR_TYPE.
Crucially, also record structured error attributes on the proxy SERVER
span ('Received Proxy Server Request') from async_post_call_failure_hook
- the only place the SERVER span is in hand. _handle_failure records on
the litellm_request child span (the parent span is not propagated into
its kwargs), so prior to this change the SERVER span that dashboards
query carried only span status, never error.code/error.type. Reuses
_record_exception_on_span + StandardLoggingPayloadSetup.get_error_information
so values match the child span.
Tests: recorder unit coverage + a hook-driven test asserting the SERVER
span is stamped (the gap recorder-only tests missed). Full
test_opentelemetry.py suite: 197 passed.
* feat(otel): set http.route + url.path on the proxy SERVER span
Add the OTel-standard http.route (low-cardinality route template, e.g.
/v1/threads/{thread_id}/runs) and url.path (literal path) to the SERVER
span ('Received Proxy Server Request') so dashboards can group traffic
by endpoint instead of seeing every path param as a unique value.
Same architectural gap as the status-code commit: the success/failure
logging handlers write the litellm_request CHILD span, and
_handle_success explicitly refuses to copy to the SERVER span. Verified
with a console-exporter run that the SERVER span was bare on success.
Unlike error info, route/path are known at request time, so set them
directly on the freshly-created SERVER span in user_api_key_auth (one
edit point, works for success and failure, no hook-ordering risk):
- http.route from the matched FastAPI route (scope['route'].path),
empirically confirmed populated at auth-dependency time.
- url.path from the existing literal-path variable.
New get_request_route_template helper + set_proxy_request_route_attributes
(no-op on None span, so the Langfuse override stays safe).
Tests: route-attribute setter + route-template helper edges. Full
test_opentelemetry.py and test_auth_utils.py green.
* feat(otel): set litellm.preprocessing.duration_ms on the proxy SERVER span
Expose the total time LiteLLM spends before the upstream provider
request begins (auth + parsing + pre-call hooks) as a single number on
the SERVER span ('Received Proxy Server Request'). Window:
proxy-receive -> FIRST provider handoff.
Retry semantics: first attempt only (pure preprocessing, excludes
retry loops + backoff). api_call_start_time is overwritten on every
attempt, so a set-once first_api_call_start_time pins the first handoff.
Same architectural gap as the prior two commits: the success/failure
logging handlers write the litellm_request CHILD span, not the SERVER
span. Set it instead from the post-call hooks on
user_api_key_dict.parent_otel_span.
Failure-path subtlety: request_data.pop('litellm_logging_obj') runs
before the failure-hook loop, so the failure hook can't read the
logging object. litellm_received_at is propagated via the existing
request->metadata channel, and first_api_call_start_time is mirrored
onto litellm_params.metadata, so both anchors survive into request_data
and the OTel helper reads them uniformly for success and failure.
Edits: user_api_key_auth (stash receive instant), litellm_pre_call_utils
(propagate it), litellm_logging (set-once first handoff + metadata
mirror), opentelemetry (constant + set_preprocessing_duration_attribute,
called from both post-call hooks).
Tests: duration helper (both container shapes, missing/negative/None
edges) + set-once invariant (retry doesn't overwrite, metadata mirror).
test_opentelemetry.py + test_auth_utils.py + test_litellm_logging.py:
447 passed. Verified live: SERVER span carries the attribute on success
and failure, coexisting with the status-code and route attributes.
* fix(otel): MyPy type-narrowing for status-code + preprocessing-duration
No behavior change. MyPy (CI lint) flagged:
- error_information["error_code"] is str|None: narrow via a None-checked
local before int().
- _to_timestamp returns Optional[float]: resolve both anchors and return
early if either is None instead of subtracting possibly-None floats.
* fix(otel): stop polluting user request metadata with first_api_call_start_time
The PR3 set-once preprocessing anchor was mirrored into
litellm_params["metadata"] from core litellm_logging.py. That dict is
the caller's request metadata, mutated in place and shared across every
call path including pure SDK (litellm.acreate_batch). It got echoed into
LiteLLMBatch(metadata=...), which the OpenAI batch schema types as
Dict[str, str] -> pydantic ValidationError on a datetime value.
- litellm_logging.py: set first_api_call_start_time only on
model_call_details (success path reads it there directly).
- proxy/utils.py: post_call_failure_hook lifts it off the logging object
into request_data (internal top-level key, same convention as the
other proxy-internal request_data keys) right before the existing
litellm_logging_obj pop. Never touches user metadata.
- opentelemetry.py: read the anchor from the container top level
(model_call_details on success, request_data on failure).
- Tests updated; add TestPostCallFailureHookLiftsFirstApiCallStartTime.
Fixes the batches_testing regression introduced on this branch.
* chore(otel): trim verbose comments to concise rationale
Collapse multi-line why-blocks to one or two lines and drop process/plan references (PR-numbering, "the plan") from test comments. No behavior change.
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yuneng-jiangandGitHub
|
62dca9e977 |
fix(ci): flag codecov uploads, enable carryforward, close coverage gaps (#28028)
* fix(ci): flag codecov uploads and enable carryforward Coverage uploads from GHA and CircleCI were unflagged. Commits that receive the push-triggered workflows more than once (re-runs, or branches cut at the same SHA) accumulated many overlapping flagless sessions, and Codecov's per-commit merge dropped the largest, ubiquitously-imported files (router.py, proxy_server.py, main.py, utils.py, cost_calculator.py) from the report even though the uploaded XMLs contained them. - codecov.yaml: flag_management.default_rules.carryforward: true - GHA reusable bases: tag each upload with its workflow/shard name - CircleCI: tag the combined upload "circleci"; also combine the agent / google_generate_content_endpoint / litellm_utils datafiles that were produced and required but missing from the combine list * fix(ci): close coverage gaps in proxy-legacy, router-unit, auth-ui, caching-redis - test-unit-proxy-legacy: route through _test-unit-base so the full proxy_unit_tests suite (incl. comprehensive test_proxy_server*.py) is measured and uploaded with per-group flags (was plain pytest, no --cov) - _test-unit-services-base: declare the enable-redis input + the six secrets test-unit-caching-redis passes; that workflow had a workflow_call signature mismatch and startup_failed on every push (never ran). Changes are additive/optional - proxy-db and security callers unchanged - circleci: add --cov + persist + combine + upload-coverage requires for litellm_router_unit_testing (tests/router_unit_tests) and auth_ui_unit_tests (tests/proxy_admin_ui_tests); neither was covered anywhere. Redundant -k subset jobs left as-is (local_testing covers them) * fix(ci): remove dead GHA Redis workflow; keep Redis on CircleCI only CircleCI redis_caching_unit_tests already runs the exact same files (tests/local_testing/test_dual_cache.py, test_redis_batch_optimizations.py, test_router_utils.py) with --cov, and that datafile is already combined and uploaded. The GHA test-unit-caching-redis workflow was redundant and had never run (workflow_call signature mismatch -> startup_failure on every push). - Delete .github/workflows/test-unit-caching-redis.yml - Revert _test-unit-services-base.yml to the flag-fix state (drop the enable-redis input / secrets / env wiring added only to prop up the GHA Redis workflow); the verified per-upload flags line is kept - The only single-star "litellm_*" branch glob lived in the deleted file; no other single-star globs exist, so none remain to widen * fix(ci): keep proxy-legacy as a standalone job to preserve required check names Routing proxy-legacy through the reusable workflow renamed each check from the bare matrix name (e.g. "proxy-response-and-misc") to "proxy-response-and-misc / Run tests". Those bare names are required status checks in branch protection, so the old contexts never reported and PRs sat "Expected — Waiting for status to be reported" indefinitely. Restore the original standalone matrix job (job name == matrix name, so the required contexts report again) and add coverage in place: --cov on pytest plus an OIDC Codecov upload flagged proxy-legacy-<group>. Net effect of the gap-#2 fix is preserved (flagged coverage for tests/proxy_unit_tests/**) without changing any check name. * revert(ci): drop all proxy-legacy changes from this PR tests/proxy_unit_tests/** is already fully covered by test-unit-proxy-db (its shard-coverage guard fails CI if any file in that dir is unassigned), which this PR already flags + carryforwards. Adding --cov and id-token:write to the legacy pull_request job was redundant and put OIDC on a job that runs untrusted PR code. Restore the file to the base version verbatim so this PR no longer touches proxy-legacy at all (also restores its original required check names). Retiring proxy-legacy in favor of proxy-db on pull_request is a separate effort that needs a branch-protection change. |
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yuneng-jiangandGitHub
|
57e5e4a3b7 |
Merge pull request #28036 from BerriAI/litellm_grid-v4-e2e-tests-cZRwz
test(ci): add reasoning_effort grid e2e regression suite |
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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> |
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Mateo Wang
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4e8ac3151d |
Merge branch 'litellm_internal_staging' into litellm_grid-v4-e2e-tests-cZRwz
Resolve conflicts in the five unrelated CI-flake fixes I previously landed on this branch -- staging shipped stronger versions (mocked HTTP for the Fireworks tests, mocked image-fetch for the Gemini size-limit test, switched the openapi-compliance test to the Interaction response schema instead of dropping the assertion). Take staging's version of all five files and drop my now-unreachable 429-skip lines from the Gemini test that the auto-merge left behind. |
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Mateo Wang
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f9485f1bf6 | refactor: strip PR-introduced docstrings and explanatory comments |