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fix(utils.py): return function name for ollama_chat function calls

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Krrish Dholakia 2024-03-08 08:01:10 -08:00
parent b4e12fb8fd
commit 0e7b30bec9
4 changed files with 79 additions and 26 deletions
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30
litellm/utils.py
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@ -4147,8 +4147,9 @@ def get_optional_params(
and custom_llm_provider != "mistral"
and custom_llm_provider != "anthropic"
and custom_llm_provider != "bedrock"
and custom_llm_provider != "ollama_chat"
):
if custom_llm_provider == "ollama" or custom_llm_provider == "ollama_chat":
if custom_llm_provider == "ollama":
# ollama actually supports json output
optional_params["format"] = "json"
litellm.add_function_to_prompt = (
@ -4174,7 +4175,7 @@ def get_optional_params(
else:
raise UnsupportedParamsError(
status_code=500,
message=f"Function calling is not supported by {custom_llm_provider}. To add it to the prompt, set `litellm.add_function_to_prompt = True`.",
message=f"Function calling is not supported by {custom_llm_provider}.",
)
def _check_valid_arg(supported_params):
@ -4687,28 +4688,13 @@ def get_optional_params(
if stop is not None:
optional_params["stop"] = stop
elif custom_llm_provider == "ollama_chat":
supported_params = [
"max_tokens",
"stream",
"top_p",
"temperature",
"frequency_penalty",
"stop",
]
supported_params = litellm.OllamaChatConfig().get_supported_openai_params()
_check_valid_arg(supported_params=supported_params)
if max_tokens is not None:
optional_params["num_predict"] = max_tokens
if stream:
optional_params["stream"] = stream
if temperature is not None:
optional_params["temperature"] = temperature
if top_p is not None:
optional_params["top_p"] = top_p
if frequency_penalty is not None:
optional_params["repeat_penalty"] = frequency_penalty
if stop is not None:
optional_params["stop"] = stop
optional_params = litellm.OllamaChatConfig().map_openai_params(
non_default_params=non_default_params, optional_params=optional_params
)
elif custom_llm_provider == "nlp_cloud":
supported_params = [
"max_tokens",