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fix(main.py): accepting azure deployment_id

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Krrish Dholakia 2023-11-09 18:15:54 -08:00
parent 523c540051
commit 249cde3d40
3 changed files with 8 additions and 8 deletions
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3
litellm/main.py
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@ -301,7 +301,7 @@ def completion(
eos_token = kwargs.get("eos_token", None)
acompletion = kwargs.get("acompletion", False)
######## end of unpacking kwargs ###########
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"]
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"]
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"]
default_params = openai_params + litellm_params
non_default_params = {k: v for k,v in kwargs.items() if k not in default_params} # model-specific params - pass them straight to the model/provider
@ -366,7 +366,6 @@ def completion(
frequency_penalty=frequency_penalty,
logit_bias=logit_bias,
user=user,
deployment_id=deployment_id,
# params to identify the model
model=model,
custom_llm_provider=custom_llm_provider,