mirror of
https://github.com/hwchase17/langchain
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94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""OctoAI Endpoints chat wrapper. Relies heavily on ChatOpenAI."""
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from typing import 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.chat_models.openai import ChatOpenAI
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from langchain_community.utils.openai import is_openai_v1
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DEFAULT_API_BASE = "https://text.octoai.run/v1/"
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DEFAULT_MODEL = "llama-2-13b-chat"
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class ChatOctoAI(ChatOpenAI):
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"""OctoAI Chat large language models.
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See https://octo.ai/ for information about OctoAI.
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To use, you should have the ``openai`` python package installed and the
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environment variable ``OCTOAI_API_TOKEN`` set with your API token.
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Alternatively, you can use the octoai_api_token keyword argument.
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Any parameters that are valid to be passed to the `openai.create` call can be passed
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in, even if not explicitly saved on this class.
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Example:
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.. code-block:: python
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from langchain_community.chat_models import ChatOctoAI
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chat = ChatOctoAI(model_name="mixtral-8x7b-instruct")
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"""
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octoai_api_base: str = Field(default=DEFAULT_API_BASE)
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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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@property
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def _llm_type(self) -> str:
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"""Return type of chat model."""
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return "octoai-chat"
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@property
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def lc_secrets(self) -> Dict[str, str]:
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return {"octoai_api_token": "OCTOAI_API_TOKEN"}
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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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@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_API_BASE,
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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).chat.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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).chat.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.ChatCompletion
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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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return values
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