Krrish Dholakia 6177b23ebf feat(azure/passthrough): working azure passthrough with router models for openai calls ...

Fixes issue where azure passthrough could not work with workload identity + litellm model name

2025-10-06 13:44:10 -07:00

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anthropic_interface

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assistants

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batch_completion

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batches

(feat)Litellm x twelvelabs bedrock[Async Invoke Support] (#14871)

2025-10-02 18:52:33 -07:00

caching

[Fix] Cache - Avoiding expensive operations when cache isn't available (#15182)

2025-10-04 09:10:37 -07:00

completion_extras

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endpoints/speech/speech_to_completion_bridge

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experimental_mcp_client

fix: resolve regression with duplicate Mcp-Protocol-Version header

2025-09-30 07:12:56 +09:00

files

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fine_tuning

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google_genai

fix test /generateContent route

2025-10-04 10:49:46 -07:00

images

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integrations

OTEL fix spans

2025-10-04 09:22:57 -07:00

litellm_core_utils

Merge branch 'main' into litellm_dev_09_30_2025_p1

2025-10-04 14:15:55 -07:00

llms

feat(azure/passthrough): working azure passthrough with router models for openai calls

2025-10-06 13:44:10 -07:00

passthrough

feat(azure/): partially working passthrough flow via router

2025-10-06 13:35:00 -07:00

proxy

feat(azure/passthrough): working azure passthrough with router models for openai calls

2025-10-06 13:44:10 -07:00

realtime_api

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rerank_api

[Feat] Add Nvidia NIM Rerank Support (#15152)

2025-10-02 18:58:52 -07:00

responses

[Feat] Return Cost for Responses API Streaming requests (#15053)

2025-09-29 19:47:04 -07:00

router_strategy

fix: remove router inefficiencies (from O(M*N) to O(1)) - 62.5% faster P99 latency (#15046)

2025-09-29 15:49:46 -07:00

router_utils

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secret_managers

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types

Revert "Add streamGenerateContent cost tracking in passthrough (#15199)" (#15202)

2025-10-04 14:37:02 -07:00

vector_stores

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__init__.py

ci/cd new release

2025-10-04 12:49:52 -07:00

_logging.py

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_redis.py

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_service_logger.py

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_uuid.py

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_version.py

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budget_manager.py

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constants.py

fix OPENAI_EMBEDDING_PARAMS

2025-10-04 10:11:21 -07:00

cost_calculator.py

Removing get_model_info from Lemonade provider. Implemented get_models which gets hooked into get_valid_models litellm utility. Also, added a simple cost calculator implementation for Lemonade so calling cost_calculator.completion_cost() doesn't return an error when a model is not found in the model_cost json.

2025-09-30 12:12:24 -06:00

cost.json

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exceptions.py

Revert "[Feature]: Replace HTTPException with ParallelRequestLimitError in pa…" (#15095)

2025-09-30 21:17:04 -07:00

main.py

Merge branch 'BerriAI:main' into gemini-adapter-fixes

2025-10-01 09:53:51 +08:00

model_prices_and_context_window_backup.json

feat(llm_passthrough_endpoints.py): add router model support on azure passthrough

2025-10-06 12:51:41 -07:00

mypy.ini

fix mypy

2025-09-27 12:21:32 -07:00

py.typed

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router.py

[Fix] - Router: add model_name index for O(1) deployment lookups (#15113)

2025-10-06 08:14:11 -07:00

scheduler.py

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timeout.py

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utils.py

feat(azure/): partially working passthrough flow via router

2025-10-06 13:35:00 -07:00