* fix(factory.py): handle qs:.. in mime type
Fixes https://github.com/BerriAI/litellm/issues/11839
* feat(litellm_proxy/): don't transform messages client-side
leave litellm proxy messages untouched - allow proxy to handle transformation
prevents double transformation
* feat(tag_management_endpoints.py): support adding models to tag by adding model_name
Closes https://github.com/BerriAI/litellm/issues/11884
* test(test_tag_management_endpoints.py): add unit tests for adding new model by public model name
* test: update test
* build(model_prices_and_context_window.json): mark all gemini-2.5 models as supporting pdf input
Closes https://github.com/BerriAI/litellm/issues/11881
* fix(anthropic_transformation.py): set custom llm provider custom property
Fixes https://github.com/BerriAI/litellm/issues/11861
* test: add unit test for checking supports_reasoning
* test: add test for vertex ai flow
* feat(bedrock/anthropic): ensure thinking param correctly passed for bedrock/invoke
* Enhance Mistral API: Add support for parallel tool calls and refine name handling in tool messages. Plus, introduce a new test for parallel tool calls in the Mistral model.
* tests
* make mypy happy
* Refine name handling in Mistral chat transformation: clarify conditions for removing the 'name' field based on message role and content.
* add pass through ui
* fix accordion for route path
* working route path renderer
* fix use sections
* clean up add pass through form
* docs fix add pass through routing
* clean up route preview
* add route preview
* feat - add websearch tools to responses to chat transform
* test_basic_google_ai_studio_responses_api_with_tools
* fix web search to responses api
* linting fixes
* fix(vertex_ai): Handle missing tokenCount in promptTokensDetails (#11581)
This PR is a Solution to the Error converting to a valid response block='tokenCount'. File an issue if litellm error - https://github.com/BerriAI/litellm/issues
It's happening because vertex_ai is not sometimes sending the token count for the audio modality.
* test_vertex_ai_usage_metadata_missing_token_count
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Co-authored-by: Nishith Jain <167524748+KingNish24@users.noreply.github.com>
* Enable Tool Calling for `meta_llama` (#11825)
* feat: enable tools and function_call features
* fix: ignore pydantic warnings for StreamingChoices from llama-api
* docs: add tool calling examples
* docs: change default models to Maverick
* docs: fix output of tool use
* test_map_openai_params
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Co-authored-by: Young Han <110819238+seyeong-han@users.noreply.github.com>
