99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
from typing import Optional, Union
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from litellm.llms.openai_like.chat.transformation import OpenAILikeChatConfig
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class VolcEngineConfig(OpenAILikeChatConfig):
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frequency_penalty: Optional[int] = None
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function_call: Optional[Union[str, dict]] = None
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functions: Optional[list] = None
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logit_bias: Optional[dict] = None
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max_tokens: Optional[int] = None
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n: Optional[int] = None
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presence_penalty: Optional[int] = None
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stop: Optional[Union[str, list]] = None
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temperature: Optional[int] = None
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top_p: Optional[int] = None
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response_format: Optional[dict] = None
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def __init__(
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self,
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frequency_penalty: Optional[int] = None,
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function_call: Optional[Union[str, dict]] = None,
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functions: Optional[list] = None,
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logit_bias: Optional[dict] = None,
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max_tokens: Optional[int] = None,
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n: Optional[int] = None,
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presence_penalty: Optional[int] = None,
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stop: Optional[Union[str, list]] = None,
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temperature: Optional[int] = None,
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top_p: Optional[int] = None,
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response_format: Optional[dict] = None,
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) -> None:
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locals_ = locals().copy()
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for key, value in locals_.items():
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if key != "self" and value is not None:
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setattr(self.__class__, key, value)
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@classmethod
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def get_config(cls):
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return super().get_config()
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def get_supported_openai_params(self, model: str) -> list:
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return [
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"frequency_penalty",
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"logit_bias",
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"logprobs",
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"top_logprobs",
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"max_completion_tokens",
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"max_tokens",
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"n",
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"presence_penalty",
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"seed",
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"stop",
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"stream",
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"stream_options",
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"temperature",
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"top_p",
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"tools",
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"tool_choice",
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"function_call",
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"functions",
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"max_retries",
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"extra_headers",
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"thinking",
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] # works across all models
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def map_openai_params(
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self,
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non_default_params: dict,
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optional_params: dict,
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model: str,
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drop_params: bool,
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replace_max_completion_tokens_with_max_tokens: bool = True,
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) -> dict:
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optional_params = super().map_openai_params(
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non_default_params,
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optional_params,
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model,
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drop_params,
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replace_max_completion_tokens_with_max_tokens,
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)
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if "thinking" in optional_params:
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thinking_value = optional_params.pop("thinking")
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# Handle disabled thinking case - don't add to extra_body if disabled
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if (
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thinking_value is not None
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and isinstance(thinking_value, dict)
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and thinking_value.get("type") == "disabled"
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):
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# Skip adding thinking parameter when it's disabled
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pass
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else:
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# Add thinking parameter to extra_body for all other cases
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optional_params.setdefault("extra_body", {})["thinking"] = thinking_value
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return optional_params
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