Client Referencellms
semantic_router.llms.requesty
RequestyLLM Objects
class RequestyLLM(OpenAICompatibleLLM)LLM for Requesty, a preset of OpenAICompatibleLLM pointing at the Requesty router (https://router.requesty.ai/v1) and reading the API key from REQUESTY_API_KEY. See https://docs.requesty.ai for more information and https://app.requesty.ai/api-keys to create a key.
Limits inherited from semantic-router 0.x:
- Dynamic routes extract function inputs only when called synchronously; an async call returns the route with function_call=None.
- A router config file saves only the class and model name. Reloading one uses the default base_url and REQUESTY_API_KEY, so a custom base_url or a key passed in code is lost.
__init__
def __init__(name: Optional[str] = None,
requesty_api_key: Optional[str] = None,
base_url: str = "https://router.requesty.ai/v1",
temperature: float = 0.01,
max_tokens: int = 200)Initialize the RequestyLLM.
Arguments:
name(Optional[str]): The name of the Requesty model to use. Defaults to the REQUESTY_CHAT_MODEL_NAME environment variable or openai/gpt-4o-mini.requesty_api_key(Optional[str]): The Requesty API key. Defaults to the REQUESTY_API_KEY environment variable.base_url(str): The base URL for the Requesty API.temperature(float): The temperature of the LLM.max_tokens(int): The maximum number of tokens to generate.