wehub-resource-sync
77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
from __future__ import annotations
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import os
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import httpx
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import openai
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from openai.types import ReasoningEffort
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from livekit.agents.llm import ToolChoice
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from livekit.agents.types import (
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NOT_GIVEN,
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NotGivenOr,
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)
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from livekit.agents.utils import is_given
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from livekit.plugins.openai import LLM as OpenAILLM
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from .models import LLMModels
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class LLM(OpenAILLM):
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def __init__(
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self,
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*,
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model: str | LLMModels = "meta-llama/Llama-4-Maverick-17B-128E-Instruct",
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api_key: NotGivenOr[str] = NOT_GIVEN,
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user: NotGivenOr[str] = NOT_GIVEN,
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safety_identifier: NotGivenOr[str] = NOT_GIVEN,
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prompt_cache_key: NotGivenOr[str] = NOT_GIVEN,
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temperature: NotGivenOr[float] = NOT_GIVEN,
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top_p: NotGivenOr[float] = NOT_GIVEN,
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parallel_tool_calls: NotGivenOr[bool] = NOT_GIVEN,
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tool_choice: NotGivenOr[ToolChoice] = NOT_GIVEN,
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reasoning_effort: NotGivenOr[ReasoningEffort] = NOT_GIVEN,
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base_url: NotGivenOr[str] = "https://inference.baseten.co/v1",
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client: openai.AsyncClient | None = None,
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timeout: httpx.Timeout | None = None,
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):
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"""
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Create a new instance of Baseten LLM.
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``api_key`` must be set to your Baseten API key, either using the argument or by setting
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the ``BASETEN_API_KEY`` environmental variable.
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"""
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api_key = api_key if is_given(api_key) else os.environ.get("BASETEN_API_KEY", "")
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if not api_key:
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raise ValueError(
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"BASETEN_API_KEY is required, either as argument or set BASETEN_API_KEY environmental variable" # noqa: E501
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)
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if not is_given(reasoning_effort):
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if model == "openai/gpt-oss-120b":
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reasoning_effort = "low"
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super().__init__(
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model=model,
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api_key=api_key,
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base_url=base_url,
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client=client,
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user=user,
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safety_identifier=safety_identifier,
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prompt_cache_key=prompt_cache_key,
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temperature=temperature,
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top_p=top_p,
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parallel_tool_calls=parallel_tool_calls,
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tool_choice=tool_choice,
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timeout=timeout,
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reasoning_effort=reasoning_effort,
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)
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@property
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def model(self) -> str:
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return self._opts.model
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@property
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def provider(self) -> str:
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return "Baseten"
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