​
RekaModel

class RekaModel(BaseModelBackend):

Reka API in a unified OpenAICompatibleModel interface.

Parameters:

  • model_type (Union[ModelType, str]): Model for which a backend is created, one of REKA_* series.
  • model_config_dict (Optional[Dict[str, Any]], optional): A dictionary that will be fed into:obj:Reka.chat.create(). If :obj:None, :obj:RekaConfig().as_dict() will be used. (default: :obj:None)
  • api_key (Optional[str], optional): The API key for authenticating with the Reka service. (default: :obj:None)
  • url (Optional[str], optional): The url to the Reka service. (default: :obj:None)
  • token_counter (Optional[BaseTokenCounter], optional): Token counter to use for the model. If not provided, :obj:OpenAITokenCounter will be used. (default: :obj:None)
  • timeout (Optional[float], optional): The timeout value in seconds for API calls. If not provided, will fall back to the MODEL_TIMEOUT environment variable or default to 180 seconds. (default: :obj:None)

​
init

def __init__(
    self,
    model_type: Union[ModelType, str],
    model_config_dict: Optional[Dict[str, Any]] = None,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
    token_counter: Optional[BaseTokenCounter] = None,
    timeout: Optional[float] = None
):

​
_convert_reka_to_openai_response

def _convert_reka_to_openai_response(self, response: 'ChatResponse'):

Converts a Reka ChatResponse to an OpenAI-style ChatCompletion response.

Parameters:

  • response (ChatResponse): The response object from the Reka API.

Returns:

ChatCompletion: An OpenAI-compatible chat completion response.

​
_convert_openai_to_reka_messages

def _convert_openai_to_reka_messages(
    self,
    messages: List[OpenAIMessage],
    response_format: Optional[Type[BaseModel]] = None,
    tools: Optional[List[str]] = None
):

Converts OpenAI API messages to Reka API messages.

Parameters:

  • messages (List[OpenAIMessage]): A list of messages in OpenAI format.

Returns:

List[ChatMessage]: A list of messages converted to Reka’s format.

​
token_counter

def token_counter(self):

Returns:

BaseTokenCounter: The token counter following the model’s tokenization style.

​
_run

def _run(
    self,
    messages: List[OpenAIMessage],
    response_format: Optional[Type[BaseModel]] = None,
    tools: Optional[List[Dict[str, Any]]] = None
):

Runs inference of Mistral chat completion.

Parameters:

  • messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format.

Returns:

ChatCompletion.

​
check_model_config

def check_model_config(self):

​
stream

def stream(self):

Returns:

bool: Whether the model is in stream mode.