forked from phoenix/litellm-mirror
fix(utils.py): return function name for ollama_chat function calls
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4 changed files with 79 additions and 26 deletions
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@ -4147,8 +4147,9 @@ def get_optional_params(
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and custom_llm_provider != "mistral"
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and custom_llm_provider != "anthropic"
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and custom_llm_provider != "bedrock"
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and custom_llm_provider != "ollama_chat"
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):
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if custom_llm_provider == "ollama" or custom_llm_provider == "ollama_chat":
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if custom_llm_provider == "ollama":
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# ollama actually supports json output
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optional_params["format"] = "json"
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litellm.add_function_to_prompt = (
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@ -4174,7 +4175,7 @@ def get_optional_params(
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else:
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raise UnsupportedParamsError(
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status_code=500,
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message=f"Function calling is not supported by {custom_llm_provider}. To add it to the prompt, set `litellm.add_function_to_prompt = True`.",
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message=f"Function calling is not supported by {custom_llm_provider}.",
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)
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def _check_valid_arg(supported_params):
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@ -4687,28 +4688,13 @@ def get_optional_params(
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if stop is not None:
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optional_params["stop"] = stop
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elif custom_llm_provider == "ollama_chat":
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supported_params = [
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"max_tokens",
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"stream",
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"top_p",
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"temperature",
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"frequency_penalty",
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"stop",
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]
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supported_params = litellm.OllamaChatConfig().get_supported_openai_params()
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_check_valid_arg(supported_params=supported_params)
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if max_tokens is not None:
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optional_params["num_predict"] = max_tokens
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if stream:
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optional_params["stream"] = stream
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if temperature is not None:
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optional_params["temperature"] = temperature
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if top_p is not None:
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optional_params["top_p"] = top_p
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if frequency_penalty is not None:
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optional_params["repeat_penalty"] = frequency_penalty
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if stop is not None:
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optional_params["stop"] = stop
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optional_params = litellm.OllamaChatConfig().map_openai_params(
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non_default_params=non_default_params, optional_params=optional_params
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)
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elif custom_llm_provider == "nlp_cloud":
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supported_params = [
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"max_tokens",
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