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b53cfe729a
* fix(pricing): add unversioned vertex_ai/claude-haiku-4-5 entry Missing unversioned entry causes cost tracking to return $0.00 for all requests using vertex_ai/claude-haiku-4-5. All other Vertex AI Claude models have both versioned and unversioned entries. * fix(router): skip misleading tags error when no candidates (e.g. cooldown) Return early from get_deployments_for_tag when healthy_deployments is empty so tag-based routing does not raise no_deployments_with_tag_routing after cooldown filters all deployments. Adds regression test. Made-with: Cursor * feat(oci): add embedding support and update model catalog - Add OCIEmbeddingConfig for OCI GenAI embedding models - Add 16 new chat models (Cohere, Meta Llama, xAI Grok, Google Gemini) - Add 8 embedding models (Cohere embed v3.0, v4.0) - Update documentation with embedding examples - Update pricing for all new models * test(oci): add unit tests for OCI embedding support - 17 unit tests covering OCIEmbeddingConfig - Tests for URL generation, param mapping, request/response transform - Tests for model pricing JSON completeness * style(oci): format with black and ruff * fix(oci): correct embedding request body format OCI embedText API expects inputs, truncate, and inputType at the top level of the request body, not nested under embedTextDetails. Fixed transformation and updated tests accordingly. Verified with real OCI API: 3/3 embedding models working. * docs: clarify tag routing early return and test intent Made-with: Cursor * fix(oci): address code review findings from Greptile - P1: Fix signing URL mismatch with custom api_base by accepting api_base parameter in transform_embedding_request - P2: Remove encoding_format from supported params (OCI does not support it, was silently dropped) - P2: Raise ValueError for token-array inputs instead of silently converting to string representation - Add test for token-list rejection * fix(mcp): add STS AssumeRole support for MCP SigV4 authentication MCPSigV4Auth only supported static AWS credentials or the boto3 default credential chain. Production Kubernetes environments typically authenticate via IAM role assumption (sts:AssumeRole), which was not possible. Add aws_role_name and aws_session_name parameters to the MCP SigV4 auth stack. When aws_role_name is provided, MCPSigV4Auth calls sts:AssumeRole to obtain temporary credentials before signing requests. Explicit keys, if also provided, are used as the source identity for the STS call; otherwise ambient credentials (pod role, instance profile) are used. * fix: stop logging credential values and add missing redaction patterns Replaces raw credential values in debug/error log messages with boolean presence checks or type names. Adds PEM block, GCP token, JWT, SAS token, and service-account blob patterns to the redaction filter. Fixes private_key pattern to capture full PEM blocks instead of stopping at the first whitespace. Addresses: Vertex AI credential JSON (including RSA private key) being logged to stderr on health check failures. * fix: log only field names for UserAPIKeyAuth, not full object * style: apply black formatting to experimental_mcp_client/client.py * style: fix black/isort formatting and mypy error in proxy_server.py - Fix black formatting in experimental_mcp_client/client.py (done in prev commit) - Fix black/isort formatting in key_management_endpoints.py, proxy_server.py, transformation.py - Fix mypy: iterate over optional list safely (access_group_ids or []) in proxy_server.py * fix(test): patch check_migration.verbose_logger directly to fix xdist ordering issue When test_proxy_cli.py tests run before test_check_migration.py in the same xdist worker, litellm.proxy.db.check_migration is already in sys.modules. Patching litellm._logging.verbose_logger has no effect on the already-bound reference. Patch the correct target (check_migration.verbose_logger) and import the module before patching so the order doesn't matter. * fix(mypy): make api_base Optional in PydanticAIProviderConfig to match base class signature --------- Co-authored-by: Ihsan Soydemir <soydemir.ihsan@gmail.com> Co-authored-by: Milan <milan@berri.ai> Co-authored-by: Daniel Gandolfi <danielgandolfi@gmail.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: michelligabriele <gabriele.michelli@icloud.com> Co-authored-by: user <70670632+stuxf@users.noreply.github.com> Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com> |
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| amazon_nova/chat | ||
| anthropic | ||
| azure | ||
| azure_ai | ||
| base_llm | ||
| baseten/chat | ||
| bedrock | ||
| bedrock_mantle | ||
| black_forest_labs | ||
| bytez/chat | ||
| chat | ||
| chatgpt | ||
| cohere | ||
| cometapi/chat | ||
| compactifai | ||
| custom_httpx | ||
| dashscope | ||
| databricks | ||
| datarobot | ||
| deepgram | ||
| deepinfra | ||
| docker_model_runner | ||
| featherless_ai/chat | ||
| fireworks_ai | ||
| gemini | ||
| github_copilot | ||
| heroku | ||
| hosted_vllm | ||
| huggingface | ||
| jina_ai/embedding | ||
| lemonade | ||
| litellm_proxy/chat | ||
| llamafile/chat | ||
| lm_studio | ||
| manus | ||
| meta_llama | ||
| minimax | ||
| mistral | ||
| moonshot | ||
| nebius | ||
| novita/chat | ||
| nscale/chat | ||
| oci | ||
| ocr | ||
| ollama | ||
| openai | ||
| openai_like | ||
| openrouter | ||
| ovhcloud | ||
| perplexity | ||
| pg_vector/vector_stores | ||
| publicai | ||
| ragflow/chat | ||
| recraft | ||
| runwayml | ||
| s3_vectors | ||
| sagemaker | ||
| sambanova | ||
| sap | ||
| snowflake | ||
| stability | ||
| vercel_ai_gateway | ||
| vertex_ai | ||
| volcengine | ||
| voyage/rerank | ||
| wandb | ||
| watsonx | ||
| xai | ||
| zai | ||
| test_cache_control_and_reasoning.py | ||
| test_file_search_responses.py | ||
| test_lifecycle_fix.py | ||
| test_oom_fixes.py | ||