4 commits

Author	SHA1	Message	Date
Krish Dholakia	d7b294dd0a	build(pyproject.toml): add new dev dependencies - for type checking (#9631) ... * build(pyproject.toml): add new dev dependencies - for type checking * build: reformat files to fit black * ci: reformat to fit black * ci(test-litellm.yml): make tests run clear * build(pyproject.toml): add ruff * fix: fix ruff checks * build(mypy/): fix mypy linting errors * fix(hashicorp_secret_manager.py): fix passing cert for tls auth * build(mypy/): resolve all mypy errors * test: update test * fix: fix black formatting * build(pre-commit-config.yaml): use poetry run black * fix(proxy_server.py): fix linting error * fix: fix ruff safe representation error	2025-03-29 11:02:13 -07:00
Ishaan Jaff	62a1cdec47	(code quality) run ruff rule to ban unused imports (#7313) ... * remove unused imports * fix AmazonConverseConfig * fix test * fix import * ruff check fixes * test fixes * fix testing * fix imports	2024-12-19 12:33:42 -08:00
Krish Dholakia	976926e231	LiteLLM Minor Fixes & Improvements (11/01/2024) (#6551) ... * fix: add lm_studio support * fix(cohere_transformation.py): fix transformation logic for azure cohere embedding model name Fixes https://github.com/BerriAI/litellm/issues/6540 * fix(utils.py): require base64 str to begin with `data:` Fixes https://github.com/BerriAI/litellm/issues/6541 * fix: cleanup tests * docs(guardrails.md): fix typo * fix(opentelemetry.py): move to `.exception` and update 'response_obj' value to handle 'None' case Fixes https://github.com/BerriAI/litellm/issues/6510 * fix: fix linting noqa placement	2024-11-02 02:09:31 +05:30
Krish Dholakia	ed5635e9a2	LiteLLM Minor Fixes & Improvements (09/24/2024) (#5880) ... * LiteLLM Minor Fixes & Improvements (09/23/2024) (#5842) * feat(auth_utils.py): enable admin to allow client-side credentials to be passed Makes it easier for devs to experiment with finetuned fireworks ai models * feat(router.py): allow setting configurable_clientside_auth_params for a model Closes https://github.com/BerriAI/litellm/issues/5843 * build(model_prices_and_context_window.json): fix anthropic claude-3-5-sonnet max output token limit Fixes https://github.com/BerriAI/litellm/issues/5850 * fix(azure_ai/): support content list for azure ai Fixes https://github.com/BerriAI/litellm/issues/4237 * fix(litellm_logging.py): always set saved_cache_cost Set to 0 by default * fix(fireworks_ai/cost_calculator.py): add fireworks ai default pricing handles calling 405b+ size models * fix(slack_alerting.py): fix error alerting for failed spend tracking Fixes regression with slack alerting error monitoring * fix(vertex_and_google_ai_studio_gemini.py): handle gemini no candidates in streaming chunk error * docs(bedrock.md): add llama3-1 models * test: fix tests * fix(azure_ai/chat): fix transformation for azure ai calls * feat(azure_ai/embed): Add azure ai embeddings support Closes https://github.com/BerriAI/litellm/issues/5861 * fix(azure_ai/embed): enable async embedding * feat(azure_ai/embed): support azure ai multimodal embeddings * fix(azure_ai/embed): support async multi modal embeddings * feat(together_ai/embed): support together ai embedding calls * feat(rerank/main.py): log source documents for rerank endpoints to langfuse improves rerank endpoint logging * fix(langfuse.py): support logging `/audio/speech` input to langfuse * test(test_embedding.py): fix test * test(test_completion_cost.py): fix helper util	2024-09-25 22:11:57 -07:00