* Fix HostedVLLMRerankConfig will not be used
Signed-off-by: Jun-Fei Cherng <jfcherng@realtek.com>
* Fix no usage statistics in rerank with hosted_vllm
Signed-off-by: Jun-Fei Cherng <jfcherng@realtek.com>
* Revise typo in comment
Signed-off-by: Jun-Fei Cherng <jfcherng@realtek.com>
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Signed-off-by: Jun-Fei Cherng <jfcherng@realtek.com>
* feat(guardrails): Add deduplication and session tracking
- Implement deduplication logic to prevent duplicate scans (via call_id; add _check_and_mark_scanned) caused by LiteLLM callback system
- Add session tracking using litellm_trace_id as AI Session ID for Prisma AIRS SCM logging
- Extract helper methods _extract_prompt_from_request maintainability
- Use httpxSpecialProvider import (LoggingCallback -> GuardrailCallback)
- Add comprehensive tests for deduplication and session tracking (7 new tests)
- Update documentation with multi-turn conversation tracking examples
* docs: update PANW Prisma AIRS multi-turn conversation example to use industry-standard terminology
- Clearer example for conversation tracking
- Updated terminology from 'AI Session ID' to 'Prisma AIRS AI Session ID' for clarity
* fix: remove unused asyncio import
* fix: correct mypy type ignore comment
* Update MCP version from 1.10.1 to 1.20.0
- Update mcp dependency: 1.10.1 -> 1.20.0 in requirements.txt, pyproject.toml, and CI config
- Update uvicorn dependency: 0.29.0 -> 0.31.1 (required by MCP 1.20.0)
- Update PyJWT constraint to support newer versions required by MCP
- Update all CI pipeline references to MCP 1.20.0
- Add test to verify MCP version and import compatibility
MCP 1.20.0 requires uvicorn >=0.31.1 and PyJWT >=2.10.1.
MCP package remains Python >=3.10 only (no change to version constraint).
* Update poetry.lock for MCP 1.20.0
* noma support v2 api and images with during call
* supporting streams and images with texts
* Supporting text now
* annonymization works
* removing function
* fixing noma.py
* all old tests pass
* adding new tests
* removing changes
* Fixing application id headers
* fix whitespace
* deleting unused imports
* Add gemini api key in the custom api url
* Update tests
* Use api key n the header
* Use api key n the header
* fix mypy error
* fix mypy error
* fix test gemini auth
* fix(redis): handle float redis_version from AWS ElastiCache Valkey
AWS ElastiCache Valkey returns redis_version as a float (7.0) instead
of a string ('7.0.0'), causing AttributeError: 'float' object has no
attribute 'split' in async_lpop when parsing version for LPOP count.
Changes:
- Extract version parsing into _parse_redis_major_version() helper
- Add DEFAULT_REDIS_MAJOR_VERSION constant (replaces magic number)
- Support multiple version formats: string, float, int, malformed
- Add comprehensive test coverage for all version format edge cases
Fixes: 'LiteLLM Redis Cache LPOP: - Got exception from REDIS' error
during db_spend_update_job cronjobs
* refactor: move DEFAULT_REDIS_MAJOR_VERSION to constants.py
* add helper functions
* update generic_cost_per_token function
* add test
* formatting
* add examples in docstring for _calculate_tiered_cost
* Restore files to upstream/main version
* dashscope specific calculation
* improve for different costs
* remove _calculate_flat_cost function
* fix(anthropic-adapter): properly translate Anthropic image format to OpenAI
Fixed bug where images were stripped during Anthropic Messages API to Azure
OpenAI translation. Image source data was being stringified instead of having
fields properly extracted.
- Added _translate_anthropic_image_to_openai() helper method
- Support both base64 and URL image formats per Anthropic API spec
- Refactored user message and tool result image handling
* test(anthropic-adapter): add comprehensive image translation tests
Add 5 unit tests covering image translation from Anthropic to OpenAI format:
- User messages with base64 images
- User messages with URL images
- Tool results with base64 images
- Tool results with URL images
- Mixed content with multiple images
* feat(llm_passthrough_endpoints.py): support milvus passthrough api
* fix(llm_passthrough_endpoints.py): move streaming request value to the top of the function
* docs: document new milvus vector store passthrough flow
* feat: change guardrail_information to list type to support displaying multiple guardrails
* fix: add missing commit and revert auto-format changes in utils.py
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Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* streaming support in langfuse otel
* Added testing for Langfuse Otel tracing in the response API
---------
Co-authored-by: eycjur <eycjur@example.com>
* Add v1 cut of container api
* fix lint errors
* Add proxy support to container apis & logging support (#16049)
* Add proxy support to container apis
* Add logging support
* Add cost tracking support for containers and documentation
* Add new constant documentation
* Add container cost in model map
* fix failing azure tests
* Update tests based on model map changes
* fix model map tests
* fix model map tests
* Container modeshould be container
* Container tests fix
* Merge branch 'main' into litellm_sameer_oct_staging_2
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Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
