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StubTokenCounter

class StubTokenCounter(BaseTokenCounter):

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count_tokens_from_messages

def count_tokens_from_messages(self, messages: List[OpenAIMessage]):
Token counting for STUB models, directly returning a constant. Parameters:
  • messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format.
Returns: int: A constant to act as the number of the tokens in the messages.

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encode

def encode(self, text: str):
Encode text into token IDs for STUB models. Parameters:
  • text (str): The text to encode.
Returns: List[int]: List of token IDs.

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decode

def decode(self, token_ids: List[int]):
Decode token IDs back to text for STUB models. Parameters:
  • token_ids (List[int]): List of token IDs to decode.
Returns: str: Decoded text.

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StubModel

class StubModel(BaseModelBackend):
A dummy model used for unit tests.

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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,
    max_retries: int = 3
):
All arguments are unused for the dummy model.

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token_counter

def token_counter(self):
Returns: BaseTokenCounter: The token counter following the model’s tokenization style.

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_run

def _run(
    self,
    messages: List[OpenAIMessage],
    response_format: Optional[Type[BaseModel]] = None,
    tools: Optional[List[Dict[str, Any]]] = None
):
Returns: Dict[str, Any]: Response in the OpenAI API format.

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check_model_config

def check_model_config(self):
Directly pass the check on arguments to STUB model.