The _safe_get_request_headers caching uses request.state._cached_headers,
which returns a truthy MagicMock on bare MagicMock() objects instead of
None, breaking content-type detection for form-data tests.
- Fast-path early return in check_api_key_for_custom_headers_or_pass_through_endpoints
- startswith(tuple) replaces for-loop substring matching (also more correct)
- Pre-compute _PUBLIC_ROUTES and MAPPED_PASS_THROUGH_PREFIXES at module level
- Deduplicate get_request_route call by passing route as parameter
- Cache dict(request.headers) on request.state per-request
- Remove redundant elif branch from get_api_key (handled by later function)
- Fix: isinstance(request.headers, dict) was always False for Starlette Headers,
silently breaking custom header extraction for pass-through endpoints
The test-complete aggregate job adds no value as GitHub Actions
already provides visibility into matrix job results.
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
poetry.lock was out of sync with pyproject.toml, causing CI failures
across all PRs with "Run `poetry lock` to fix the lock file" error.
Regenerated the lock file to resolve the sync issue.
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
* feat(bedrock): add DeepSeek V3.2 pricing and region support
* feat(bedrock): add minimax.minimax-m2.1 pricing and region support
* feat(bedrock): add moonshotai.kimi-k2.5 pricing and region support
* feat(bedrock): add qwen.qwen3-coder-next
pricing and region support
* add some sanity unit tests for the bedrock beta models added
* --amend
* resolve greptileai comments and suggestions
* docs: add reference to example_openai_endpoint repo for self-hosting fake OpenAI proxy (#21006)
- Updated benchmarks.md with a section on setting up fake OpenAI endpoints
- Updated load_test.md to mention the self-hosted option
- Updated load_test_advanced.md with a tip box about the example repo
Reference: https://github.com/BerriAI/example_openai_endpoint
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
* MCP fixes
* fix(oldteams.tsx): show policies when creating
* fix(proxy/_types.py): ensure mcp rest endpoints can be called by virtual key
ensures UI works with virtual key testing mcp endpoints
* refactor: migrate get object permissions table logic to happen in user api key auth - allows functions to trust user api key object they receive has what they need
* fix(rest_endpoints.py): filter for allowed tools based on what key has access to
* fix(mcp_server_manager.py): ensure only allowed MCP's are returned to the user, via rest endpoints
* Guardrails - add toxic/abusive content filter guardrails
* fix(streaming): preserve usage data from post-finish_reason chunks in OpenAI-compatible streaming
Fixes#16112
OpenRouter and other OpenAI-compatible providers send a usage chunk after
the finish_reason='stop' chunk when stream_options.include_usage is True.
The OpenAIChatCompletionStreamingHandler.chunk_parser() was not passing
the usage field to ModelResponseStream, causing real token counts from the
provider to be lost and falling back to inaccurate estimates.
* fix: resolve merge conflict in test file
- Fix typo in test method name (extra space)
- Move test_prompt_cache_key_in_optional_params to its own class
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
* fix(vertex_ai): forward extra_body to completion transformation handler
The responses() function accepted extra_body as a named parameter but
did not pass it to response_api_handler when responses_api_provider_config
was None (completion transformation path), silently dropping it.
Also adds deep-merge support for extra_body in Vertex AI Gemini
transformation, so dict values like generationConfig are merged rather
than replaced.
* refactor(vertex_ai): extract _merge_extra_body to fix PLR0915 lint
Move the extra_body merge loop into a helper function to keep
_transform_request_body under the 50-statement limit.
When litellm_metadata is explicitly set to None in litellm_params,
`dict.get("litellm_metadata", {})` returns None (not the default {}),
because the key exists. The subsequent .get() call on None raises
`AttributeError: 'NoneType' object has no attribute 'get'`.
Use `or {}` instead, consistent with line 4924 in the same file.
Fixes#15836
* fix: allow Management keys to access user/daily/activity and team/daily/activity
* feat(vertex): surface trafficType via generic provider_specific_fields in Responses API
Extract Vertex AI's trafficType from usageMetadata in both streaming and
non-streaming paths, storing it in _hidden_params["provider_specific_fields"].
The Responses API transformation layer generically passes any
_hidden_params["provider_specific_fields"] dict to the ResponsesAPIResponse,
avoiding provider-specific logic in the bridge.
Also fix stream_chunk_builder to propagate _hidden_params from the last
streaming chunk to the rebuilt ModelResponse, ensuring provider metadata
survives the chunk→response rebuild.
---------
Co-authored-by: naaa760 <neh6a683@gmail.com>
Co-authored-by: yuneng-jiang <yuneng.jiang@gmail.com>
