forked from phoenix/litellm-mirror
fix(utils.py): support deepseek tool calling
Fixes https://github.com/BerriAI/litellm/issues/5081
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parent
2f402b1cdd
commit
ff386f6b60
2 changed files with 29 additions and 18 deletions
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@ -3536,22 +3536,11 @@ def get_optional_params(
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)
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_check_valid_arg(supported_params=supported_params)
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if frequency_penalty is not None:
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optional_params["frequency_penalty"] = frequency_penalty
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if max_tokens is not None:
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optional_params["max_tokens"] = max_tokens
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if presence_penalty is not None:
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optional_params["presence_penalty"] = presence_penalty
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if stop is not None:
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optional_params["stop"] = stop
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if stream is not None:
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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 logprobs is not None:
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optional_params["logprobs"] = logprobs
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if top_logprobs is not None:
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optional_params["top_logprobs"] = top_logprobs
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optional_params = litellm.OpenAIConfig().map_openai_params(
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non_default_params=non_default_params,
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optional_params=optional_params,
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model=model,
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)
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elif custom_llm_provider == "openrouter":
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supported_params = get_supported_openai_params(
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model=model, custom_llm_provider=custom_llm_provider
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@ -4141,12 +4130,15 @@ def get_supported_openai_params(
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"frequency_penalty",
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"max_tokens",
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"presence_penalty",
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"response_format",
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"stop",
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"stream",
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"temperature",
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"top_p",
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"logprobs",
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"top_logprobs",
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"tools",
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"tool_choice",
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]
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elif custom_llm_provider == "cohere":
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return [
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