mirror of
https://github.com/hwchase17/langchain
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54d388d898
This PR updates OctoAIEndpoint LLM to subclass BaseOpenAI as OctoAI is an OpenAI-compatible service. The documentation and tests have also been updated.
118 lines
3.8 KiB
Python
118 lines
3.8 KiB
Python
from typing import Any, Dict
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from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
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from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
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from langchain_community.llms.openai import BaseOpenAI
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from langchain_community.utils.openai import is_openai_v1
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DEFAULT_BASE_URL = "https://text.octoai.run/v1/"
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DEFAULT_MODEL = "codellama-7b-instruct"
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class OctoAIEndpoint(BaseOpenAI):
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"""OctoAI LLM Endpoints - OpenAI compatible.
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OctoAIEndpoint is a class to interact with OctoAI Compute Service large
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language model endpoints.
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To use, you should have the environment variable ``OCTOAI_API_TOKEN`` set
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with your API token, or pass it as a named parameter to the constructor.
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Example:
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.. code-block:: python
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from langchain_community.llms.octoai_endpoint import OctoAIEndpoint
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llm = OctoAIEndpoint(
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model="llama-2-13b-chat-fp16",
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max_tokens=200,
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presence_penalty=0,
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temperature=0.1,
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top_p=0.9,
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)
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"""
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"""Key word arguments to pass to the model."""
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octoai_api_base: str = Field(default=DEFAULT_BASE_URL)
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octoai_api_token: SecretStr = Field(default=None)
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model_name: str = Field(default=DEFAULT_MODEL)
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@classmethod
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def is_lc_serializable(cls) -> bool:
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return False
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@property
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def _invocation_params(self) -> Dict[str, Any]:
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"""Get the parameters used to invoke the model."""
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params: Dict[str, Any] = {
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"model": self.model_name,
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**self._default_params,
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}
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if not is_openai_v1():
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params.update(
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{
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"api_key": self.octoai_api_token.get_secret_value(),
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"api_base": self.octoai_api_base,
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}
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)
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return {**params, **super()._invocation_params}
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@property
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def _llm_type(self) -> str:
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"""Return type of llm."""
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return "octoai_endpoint"
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key and python package exists in environment."""
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values["octoai_api_base"] = get_from_dict_or_env(
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values,
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"octoai_api_base",
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"OCTOAI_API_BASE",
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default=DEFAULT_BASE_URL,
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)
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values["octoai_api_token"] = convert_to_secret_str(
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get_from_dict_or_env(values, "octoai_api_token", "OCTOAI_API_TOKEN")
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)
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values["model_name"] = get_from_dict_or_env(
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values,
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"model_name",
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"MODEL_NAME",
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default=DEFAULT_MODEL,
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)
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try:
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import openai
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if is_openai_v1():
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client_params = {
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"api_key": values["octoai_api_token"].get_secret_value(),
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"base_url": values["octoai_api_base"],
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}
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if not values.get("client"):
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values["client"] = openai.OpenAI(**client_params).completions
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if not values.get("async_client"):
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values["async_client"] = openai.AsyncOpenAI(
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**client_params
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).completions
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else:
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values["openai_api_base"] = values["octoai_api_base"]
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values["openai_api_key"] = values["octoai_api_token"].get_secret_value()
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values["client"] = openai.Completion
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except ImportError:
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raise ImportError(
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"Could not import openai python package. "
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"Please install it with `pip install openai`."
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)
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if "endpoint_url" in values["model_kwargs"]:
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raise ValueError(
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"`endpoint_url` was deprecated, please use `octoai_api_base`."
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)
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return values
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