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(feat) proxy: log model_info + proxy_server request

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ishaan-jaff 2023-12-08 14:25:36 -08:00
parent 93b1df1c79
commit 14d57ec7de
1 changed files with 3 additions and 1 deletions
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4
litellm/main.py
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@ -1778,6 +1778,8 @@ def embedding(
client = kwargs.pop("client", None)
rpm = kwargs.pop("rpm", None)
tpm = kwargs.pop("tpm", None)
model_info = kwargs.get("model_info", None)
proxy_server_request = kwargs.get("proxy_server_request", None)
aembedding = kwargs.pop("aembedding", None)
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"]
litellm_params = ["metadata", "acompletion", "caching", "return_async", "mock_response", "api_key", "api_version", "api_base", "force_timeout", "logger_fn", "verbose", "custom_llm_provider", "litellm_logging_obj", "litellm_call_id", "use_client", "id", "fallbacks", "azure", "headers", "model_list", "num_retries", "context_window_fallback_dict", "roles", "final_prompt_value", "bos_token", "eos_token", "request_timeout", "complete_response", "self", "client", "rpm", "tpm", "input_cost_per_token", "output_cost_per_token", "hf_model_name", "proxy_server_request", "model_info"]
@ -1792,7 +1794,7 @@ def embedding(
try:
response = None
logging = litellm_logging_obj
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})
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})
if azure == True or custom_llm_provider == "azure":
# azure configs
api_type = get_secret("AZURE_API_TYPE") or "azure"