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LiteLLM Minor Fixes & Improvements (10/24/2024) (#6421)
* fix(utils.py): support passing dynamic api base to validate_environment Returns True if just api base is required and api base is passed * fix(litellm_pre_call_utils.py): feature flag sending client headers to llm api Fixes https://github.com/BerriAI/litellm/issues/6410 * fix(anthropic/chat/transformation.py): return correct error message * fix(http_handler.py): add error response text in places where we expect it * fix(factory.py): handle base case of no non-system messages to bedrock Fixes https://github.com/BerriAI/litellm/issues/6411 * feat(cohere/embed): Support cohere image embeddings Closes https://github.com/BerriAI/litellm/issues/6413 * fix(__init__.py): fix linting error * docs(supported_embedding.md): add image embedding example to docs * feat(cohere/embed): use cohere embedding returned usage for cost calc * build(model_prices_and_context_window.json): add embed-english-v3.0 details (image cost + 'supports_image_input' flag) * fix(cohere_transformation.py): fix linting error * test(test_proxy_server.py): cleanup test * test: cleanup test * fix: fix linting errors
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@ -113,7 +113,7 @@ from .llms.bedrock.chat import BedrockConverseLLM, BedrockLLM
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from .llms.bedrock.embed.embedding import BedrockEmbedding
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from .llms.cohere import chat as cohere_chat
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from .llms.cohere import completion as cohere_completion # type: ignore
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from .llms.cohere import embed as cohere_embed
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from .llms.cohere.embed import handler as cohere_embed
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from .llms.custom_llm import CustomLLM, custom_chat_llm_router
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from .llms.databricks.chat import DatabricksChatCompletion
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from .llms.groq.chat.handler import GroqChatCompletion
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