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feat(anthropic.py): adds tool calling support

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Krrish Dholakia 2024-03-04 10:42:28 -08:00
parent 1c40282627
commit ae82b3f31a
3 changed files with 89 additions and 4 deletions
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15
litellm/utils.py
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@ -4106,6 +4106,7 @@ def get_optional_params(
and custom_llm_provider != "anyscale"
and custom_llm_provider != "together_ai"
and custom_llm_provider != "mistral"
and custom_llm_provider != "anthropic"
):
if custom_llm_provider == "ollama" or custom_llm_provider == "ollama_chat":
# ollama actually supports json output
@ -4186,7 +4187,15 @@ def get_optional_params(
## raise exception if provider doesn't support passed in param
if custom_llm_provider == "anthropic":
## check if unsupported param passed in
supported_params = ["stream", "stop", "temperature", "top_p", "max_tokens"]
supported_params = [
"stream",
"stop",
"temperature",
"top_p",
"max_tokens",
"tools",
"tool_choice",
]
_check_valid_arg(supported_params=supported_params)
# handle anthropic params
if stream:
@ -4201,6 +4210,8 @@ def get_optional_params(
optional_params["top_p"] = top_p
if max_tokens is not None:
optional_params["max_tokens"] = max_tokens
if tools is not None:
optional_params["tools"] = tools
elif custom_llm_provider == "cohere":
## check if unsupported param passed in
supported_params = [
@ -9704,4 +9715,4 @@ def _get_base_model_from_metadata(model_call_details=None):
base_model = model_info.get("base_model", None)
if base_model is not None:
return base_model
return None
return None