* fix(cost_calculator.py): handle custom pricing at deployment level for router
* test: add unit tests
* fix(router.py): show custom pricing on UI
check correct model str
* fix: fix linting error
* docs(custom_pricing.md): clarify custom pricing for proxy
Fixes https://github.com/BerriAI/litellm/issues/8573#issuecomment-2790420740
* test: update code qa test
* fix: cleanup traceback
* fix: handle litellm param custom pricing
* test: update test
* fix(cost_calculator.py): add router model id to list of potential model names
* fix(cost_calculator.py): fix router model id check
* fix: router.py - maintain older model registry approach
* fix: fix ruff check
* fix(router.py): router get deployment info
add custom values to mapped dict
* test: update test
* fix(utils.py): update only if value is non-null
* test: add unit test
* rendering tags on UI
* use /models for building tags
* CRUD endpoints for Tag management
* fix tag management
* working api for LIST tags
* working tag management
* refactor UI components
* fixes ui tag management
* clean up ui tag management
* fix tag management ui
* fix show allowed llms
* e2e tag controls
* stash change for rendering tags on UI
* ui working tag selector on Test Key page
* fixes for tag management
* clean up tag info
* fix code quality
* test for tag management
* ui clarify what tag routing is
* fix(litellm_proxy/chat/transformation.py): support 'thinking' param
Fixes https://github.com/BerriAI/litellm/issues/9380
* feat(azure/gpt_transformation.py): add azure audio model support
Closes https://github.com/BerriAI/litellm/issues/6305
* fix(utils.py): use provider_config in common functions
* fix(utils.py): add missing provider configs to get_chat_provider_config
* test: fix test
* fix: fix path
* feat(utils.py): make bedrock invoke nova config baseconfig compatible
* fix: fix linting errors
* fix(azure_ai/transformation.py): remove buggy optional param filtering for azure ai
Removes incorrect check for support tool choice when calling azure ai - prevented calling models with response_format unless on litell model cost map
* fix(amazon_cohere_transformation.py): fix bedrock invoke cohere transformation to inherit from coherechatconfig
* test: fix azure ai tool choice mapping
* fix: fix model cost map to add 'supports_tool_choice' to cohere models
* fix(get_supported_openai_params.py): check if custom llm provider in llm providers
* fix(get_supported_openai_params.py): fix llm provider in list check
* fix: fix ruff check errors
* fix: support defs when calling bedrock nova
* fix(factory.py): fix test
* test: move test to just checking async
* fix(transformation.py): handle function call with no schema
* fix(utils.py): handle pydantic base model in message tool calls
Fix https://github.com/BerriAI/litellm/issues/9321
* fix(vertex_and_google_ai_studio.py): handle tools=[]
Fixes https://github.com/BerriAI/litellm/issues/9080
* test: remove max token restriction
* test: fix basic test
* fix(get_supported_openai_params.py): fix check
* fix(converse_transformation.py): support fake streaming for meta.llama3-3-70b-instruct-v1:0
* fix: fix test
* fix: parse out empty dictionary on dbrx streaming + tool calls
* fix(handle-'strict'-param-when-calling-fireworks-ai): fireworks ai does not support 'strict' param
* fix: fix ruff check
'
* fix: handle no strict in function
* fix: revert bedrock change - handle in separate PR
* fix(vertex_ai.py): common_utils.py
move to only passing in accepted keys by vertex ai
prevent json schema compatible keys like $id, and $comment from causing vertex ai openapi calls to fail
* fix(test_vertex.py): add testing to ensure only accepted schema params passed in
* fix(common_utils.py): fix linting error
* test: update test
* test: accept function
* refactor(db_spend_update_writer.py): aggregate table is entirely different
* test(test_db_spend_update_writer.py): add unit test to ensure if disable_spend_logs is true daily user transactions is still logged
* test: fix test
* fix(router.py): support reusable credentials via passthrough router
enables reusable vertex credentials to be used in passthrough
* test: fix test
* test(test_router_adding_deployments.py): add unit testing
* refactor(vertex_llm_base.py): Prevent credential misrouting for projects
Fixes https://github.com/BerriAI/litellm/issues/7904
* fix: passing unit tests
* fix(vertex_llm_base.py): common auth logic across sync + async vertex ai calls
prevents credential caching issue across both flows
* test: fix test
* fix(vertex_llm_base.py): handle project id in default cause
* fix(factory.py): don't pass cache control if not set
bedrock invoke does not support this
* test: fix test
* fix(vertex_llm_base.py): add .exception message in load_auth
* fix: fix ruff error
