Camel.models.function gemma model

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FunctionGemmaModel

class FunctionGemmaModel(BaseModelBackend):

• model_type (Union[ModelType, str]): Model for which a backend is created (e.g., “functiongemma”).
• model_config_dict (Optional[Dict[str, Any]], optional): A dictionary of configuration options. If :obj:None, :obj:FunctionGemmaConfig().as_dict() will be used. (default: :obj:None)
• api_key (Optional[str], optional): Not required for local Ollama. (default: :obj:None)
• url (Optional[str], optional): The URL to the Ollama server. (default: :obj:http://localhost:11434)
• token_counter (Optional[BaseTokenCounter], optional): Token counter to use for the model. If not provided, :obj:OpenAITokenCounter( ModelType.GPT_4O_MINI) 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)
• max_retries (int, optional): Maximum number of retries for API calls. (default: :obj:3)

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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
):

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token_counter

def token_counter(self):

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_escape_string

def _escape_string(self, s: str):

• s (str): The string to escape.

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_unescape_string

def _unescape_string(self, s: str):

• s (str): The string to unescape.

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_type_to_function_gemma

def _type_to_function_gemma(self, json_type: Union[str, List[str]]):

• json_type (Union[str, List[str]]): The JSON schema type. Can be a string like “string” or a list like [“string”, “null”] for optional parameters.

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_format_parameter_properties

def _format_parameter_properties(self, properties: Dict[str, Any], required: List[str]):

• properties (Dict[str, Any]): The properties dictionary.
• required (List[str]): List of required parameter names.

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_convert_tool_to_function_gemma

def _convert_tool_to_function_gemma(self, tool: Dict[str, Any]):

• tool (Dict[str, Any]): The OpenAI tool schema.

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_format_developer_turn

def _format_developer_turn(self, content: str, tools: Optional[List[Dict[str, Any]]] = None):

• content (str): The system message content.
• tools (Optional[List[Dict[str, Any]]]): List of tool schemas.

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_format_user_turn

def _format_user_turn(self, content: str):

• content (str): The user message content.

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_format_model_turn

def _format_model_turn(self, message: OpenAIMessage):

• message (OpenAIMessage): The assistant message.

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_format_tool_response

def _format_tool_response(self, message: OpenAIMessage):

• message (OpenAIMessage): The tool response message.

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_format_messages

def _format_messages(
    self,
    messages: List[OpenAIMessage],
    tools: Optional[List[Dict[str, Any]]] = None
):

• messages (List[OpenAIMessage]): List of messages in OpenAI format.
• tools (Optional[List[Dict[str, Any]]]): List of tool schemas.

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_extract_function_calls

def _extract_function_calls(self, text: str, tools: Optional[List[Dict[str, Any]]] = None):

• text (str): The model output text.
• tools (Optional[List[Dict[str, Any]]]): Available tools to infer function names when the model outputs malformed calls.

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_infer_function_name

def _infer_function_name(self, args_str: str, tools: Optional[List[Dict[str, Any]]]):

• args_str (str): The arguments string from the model output.
• tools (Optional[List[Dict[str, Any]]]): Available tools.

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_parse_function_args

def _parse_function_args(self, args_str: str):

• args_str (str): The arguments string (e.g., “a:15,b:27”).

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_parse_value

def _parse_value(self, value: str):

• value (str): The value string.

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_to_chat_completion

def _to_chat_completion(
    self,
    response_text: str,
    model: str,
    tools: Optional[List[Dict[str, Any]]] = None
):

• response_text (str): The model response text.
• model (str): The model name.
• tools (Optional[List[Dict[str, Any]]]): Available tools for function name inference.

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_call_ollama_generate

def _call_ollama_generate(self, prompt: str):

• prompt (str): The formatted prompt string.

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_run

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

• messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format.
• response_format (Optional[Type[BaseModel]]): Not supported for FunctionGemma. (default: :obj:None)
• tools (Optional[List[Dict[str, Any]]]): The schema of the tools to use for the request.

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stream

def stream(self):