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Merge branch 'main' into litellm_add_pydantic_model_support

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Krish Dholakia 2024-08-07 13:07:46 -07:00 • committed by GitHub
commit 3605e873a1
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35 changed files with 896 additions and 337 deletions
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24
litellm/utils.py
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@ -3586,22 +3586,11 @@ def get_optional_params(
)
_check_valid_arg(supported_params=supported_params)
if frequency_penalty is not None:
optional_params["frequency_penalty"] = frequency_penalty
if max_tokens is not None:
optional_params["max_tokens"] = max_tokens
if presence_penalty is not None:
optional_params["presence_penalty"] = presence_penalty
if stop is not None:
optional_params["stop"] = stop
if stream is not None:
optional_params["stream"] = stream
if temperature is not None:
optional_params["temperature"] = temperature
if logprobs is not None:
optional_params["logprobs"] = logprobs
if top_logprobs is not None:
optional_params["top_logprobs"] = top_logprobs
optional_params = litellm.OpenAIConfig().map_openai_params(
non_default_params=non_default_params,
optional_params=optional_params,
model=model,
)
elif custom_llm_provider == "openrouter":
supported_params = get_supported_openai_params(
model=model, custom_llm_provider=custom_llm_provider
@ -4191,12 +4180,15 @@ def get_supported_openai_params(
"frequency_penalty",
"max_tokens",
"presence_penalty",
"response_format",
"stop",
"stream",
"temperature",
"top_p",
"logprobs",
"top_logprobs",
"tools",
"tool_choice",
]
elif custom_llm_provider == "cohere":
return [