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(feat) access metadata in embedding kwargs()
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parent
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2 changed files with 8 additions and 2 deletions
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@ -1783,6 +1783,7 @@ def embedding(
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rpm = kwargs.pop("rpm", None)
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tpm = kwargs.pop("tpm", None)
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model_info = kwargs.get("model_info", None)
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metadata = kwargs.get("metadata", None)
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proxy_server_request = kwargs.get("proxy_server_request", None)
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aembedding = kwargs.pop("aembedding", None)
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openai_params = ["functions", "function_call", "temperature", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "request_timeout", "api_base", "api_version", "api_key", "deployment_id", "organization", "base_url", "default_headers", "timeout", "response_format", "seed", "tools", "tool_choice", "max_retries", "encoding_format"]
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@ -1798,7 +1799,7 @@ def embedding(
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try:
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response = None
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logging = litellm_logging_obj
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logging.update_environment_variables(model=model, user="", optional_params=optional_params, litellm_params={"timeout": timeout, "azure": azure, "litellm_call_id": litellm_call_id, "logger_fn": logger_fn, "proxy_server_request": proxy_server_request, "model_info": model_info})
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logging.update_environment_variables(model=model, user="", optional_params=optional_params, litellm_params={"timeout": timeout, "azure": azure, "litellm_call_id": litellm_call_id, "logger_fn": logger_fn, "proxy_server_request": proxy_server_request, "model_info": model_info, "metadata": metadata})
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if azure == True or custom_llm_provider == "azure":
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# azure configs
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api_type = get_secret("AZURE_API_TYPE") or "azure"
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