forked from phoenix/litellm-mirror
* 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
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25 changed files with 611 additions and 294 deletions
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@ -103,25 +103,6 @@ class MistralEmbeddingConfig:
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return optional_params
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class AzureAIStudioConfig:
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def get_required_params(self) -> List[ProviderField]:
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"""For a given provider, return it's required fields with a description"""
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return [
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ProviderField(
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field_name="api_key",
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field_type="string",
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field_description="Your Azure AI Studio API Key.",
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field_value="zEJ...",
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),
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ProviderField(
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field_name="api_base",
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field_type="string",
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field_description="Your Azure AI Studio API Base.",
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field_value="https://Mistral-serverless.",
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),
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]
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class DeepInfraConfig:
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"""
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Reference: https://deepinfra.com/docs/advanced/openai_api
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