Source code for camel.models.togetherai_model

# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
# Licensed under the Apache License, Version 2.0 (the “License”);
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========

import os
from typing import Any, Dict, List, Optional, Union

from openai import OpenAI, Stream

from camel.configs import TOGETHERAI_API_PARAMS
from camel.messages import OpenAIMessage
from camel.types import ChatCompletion, ChatCompletionChunk, ModelType
from camel.utils import (
    BaseTokenCounter,
    OpenAITokenCounter,
    api_keys_required,
)


[docs] class TogetherAIModel: r"""Constructor for Together AI backend with OpenAI compatibility. TODO: Add function calling support """ def __init__( self, model_type: str, model_config_dict: Dict[str, Any], api_key: Optional[str] = None, url: Optional[str] = None, token_counter: Optional[BaseTokenCounter] = None, ) -> None: r"""Constructor for TogetherAI backend. Args: model_type (str): Model for which a backend is created, supported model can be found here: https://docs.together.ai/docs/chat-models model_config_dict (Dict[str, Any]): A dictionary that will be fed into openai.ChatCompletion.create(). api_key (Optional[str]): The API key for authenticating with the Together service. (default: :obj:`None`) url (Optional[str]): The url to the Together AI service. (default: :obj:`"https://api.together.xyz/v1"`) token_counter (Optional[BaseTokenCounter]): Token counter to use for the model. If not provided, `OpenAITokenCounter(ModelType. GPT_4O_MINI)` will be used. """ self.model_type = model_type self.model_config_dict = model_config_dict self._token_counter = token_counter self._api_key = api_key or os.environ.get("TOGETHER_API_KEY") self._url = url or os.environ.get("TOGETHER_API_BASE_URL") self._client = OpenAI( timeout=60, max_retries=3, api_key=self._api_key, base_url=self._url or "https://api.together.xyz/v1", )
[docs] @api_keys_required("TOGETHER_API_KEY") def run( self, messages: List[OpenAIMessage], ) -> Union[ChatCompletion, Stream[ChatCompletionChunk]]: r"""Runs inference of OpenAI chat completion. Args: messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format. Returns: Union[ChatCompletion, Stream[ChatCompletionChunk]]: `ChatCompletion` in the non-stream mode, or `Stream[ChatCompletionChunk]` in the stream mode. """ # Use OpenAI cilent as interface call Together AI # Reference: https://docs.together.ai/docs/openai-api-compatibility response = self._client.chat.completions.create( messages=messages, model=self.model_type, **self.model_config_dict, ) return response
@property def token_counter(self) -> BaseTokenCounter: r"""Initialize the token counter for the model backend. Returns: OpenAITokenCounter: The token counter following the model's tokenization style. """ if not self._token_counter: self._token_counter = OpenAITokenCounter(ModelType.GPT_4O_MINI) return self._token_counter
[docs] def check_model_config(self): r"""Check whether the model configuration contains any unexpected arguments to TogetherAI API. Raises: ValueError: If the model configuration dictionary contains any unexpected arguments to TogetherAI API. """ for param in self.model_config_dict: if param not in TOGETHERAI_API_PARAMS: raise ValueError( f"Unexpected argument `{param}` is " "input into TogetherAI model backend." )
@property def stream(self) -> bool: r"""Returns whether the model is in stream mode, which sends partial results each time. Returns: bool: Whether the model is in stream mode. """ return self.model_config_dict.get('stream', False) @property def token_limit(self) -> int: r"""Returns the maximum token limit for the given model. Returns: int: The maximum token limit for the given model. """ max_tokens = self.model_config_dict.get("max_tokens") if isinstance(max_tokens, int): return max_tokens print( "Must set `max_tokens` as an integer in `model_config_dict` when" " setting up the model. Using 4096 as default value." ) return 4096