mirror of
https://github.com/BerriAI/litellm.git
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d891861c8e
* add path to http handler * AzureBlobStorageLogger * test_azure_blob_storage * use constants for Azure storage * use helper get_azure_ad_token_from_entrata_id * azure blob storage support * get_azure_ad_token_from_azure_storage * fix import * azure logging * docs azure storage * add docs on azure blobs * add premium user check * add azure_storage as identified logging callback * async_upload_payload_to_azure_blob_storage * docs azure storage * callback_class_str_to_classType
82 lines
1.9 KiB
Python
82 lines
1.9 KiB
Python
ROUTER_MAX_FALLBACKS = 5
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DEFAULT_BATCH_SIZE = 512
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DEFAULT_FLUSH_INTERVAL_SECONDS = 5
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DEFAULT_MAX_RETRIES = 2
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DEFAULT_REPLICATE_POLLING_RETRIES = 5
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DEFAULT_REPLICATE_POLLING_DELAY_SECONDS = 1
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DEFAULT_IMAGE_TOKEN_COUNT = 250
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DEFAULT_IMAGE_WIDTH = 300
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DEFAULT_IMAGE_HEIGHT = 300
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LITELLM_CHAT_PROVIDERS = [
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"openai",
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"openai_like",
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"xai",
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"custom_openai",
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"text-completion-openai",
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"cohere",
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"cohere_chat",
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"clarifai",
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"anthropic",
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"anthropic_text",
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"replicate",
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"huggingface",
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"together_ai",
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"openrouter",
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"vertex_ai",
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"vertex_ai_beta",
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"gemini",
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"ai21",
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"baseten",
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"azure",
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"azure_text",
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"azure_ai",
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"sagemaker",
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"sagemaker_chat",
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"bedrock",
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"vllm",
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"nlp_cloud",
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"petals",
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"oobabooga",
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"ollama",
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"ollama_chat",
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"deepinfra",
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"perplexity",
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"mistral",
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"groq",
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"nvidia_nim",
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"cerebras",
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"ai21_chat",
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"volcengine",
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"codestral",
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"text-completion-codestral",
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"deepseek",
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"sambanova",
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"maritalk",
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"cloudflare",
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"fireworks_ai",
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"friendliai",
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"watsonx",
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"watsonx_text",
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"triton",
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"predibase",
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"databricks",
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"empower",
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"github",
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"custom",
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"litellm_proxy",
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"hosted_vllm",
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"lm_studio",
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"galadriel",
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]
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RESPONSE_FORMAT_TOOL_NAME = "json_tool_call" # default tool name used when converting response format to tool call
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########################### Logging Callback Constants ###########################
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AZURE_STORAGE_MSFT_VERSION = "2019-07-07"
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########################### LiteLLM Proxy Specific Constants ###########################
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MAX_SPENDLOG_ROWS_TO_QUERY = (
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1_000_000 # if spendLogs has more than 1M rows, do not query the DB
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)
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# makes it clear this is a rate limit error for a litellm virtual key
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RATE_LIMIT_ERROR_MESSAGE_FOR_VIRTUAL_KEY = "LiteLLM Virtual Key user_api_key_hash"
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