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utils - convert ollama_chat params
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1 changed files with 24 additions and 1 deletions
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@ -2890,7 +2890,7 @@ def get_optional_params( # use the openai defaults
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and custom_llm_provider != "text-completion-openai"
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and custom_llm_provider != "text-completion-openai"
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and custom_llm_provider != "azure"
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and custom_llm_provider != "azure"
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):
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):
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if custom_llm_provider == "ollama":
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if custom_llm_provider == "ollama" or custom_llm_provider == "ollama_chat":
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# ollama actually supports json output
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# ollama actually supports json output
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optional_params["format"] = "json"
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optional_params["format"] = "json"
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litellm.add_function_to_prompt = (
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litellm.add_function_to_prompt = (
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@ -3334,6 +3334,29 @@ def get_optional_params( # use the openai defaults
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]
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]
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_check_valid_arg(supported_params=supported_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_sequences"] = 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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_check_valid_arg(supported_params=supported_params)
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if max_tokens is not None:
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if max_tokens is not None:
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optional_params["num_predict"] = max_tokens
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optional_params["num_predict"] = max_tokens
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if stream:
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if stream:
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