Documentation Index
Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
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build_default_summary_prompt
def build_default_summary_prompt(conversation_text: str):
- conversation_text (str): The conversation to be summarized.
Returns:
str: A formatted prompt instructing the model to produce a structured
markdown summary.
def generate_tool_prompt(tool_schema_list: List[Dict[str, Any]]):
def extract_tool_call(content: str):
- response (Any): The model’s response object.
Returns:
Optional[Dict[str, Any]]: The parsed tool call if present,
otherwise None.
safe_model_dump
def safe_model_dump(obj):
model_dump method if available,
otherwise it falls back to the dict method.
def convert_to_function_tool(tool: Union[FunctionTool, Callable]):
convert_to_schema
def convert_to_schema(tool: Union[FunctionTool, Callable, Dict[str, Any]]):
get_info_dict
def get_info_dict(
session_id: Optional[str],
usage: Optional[Dict[str, int]],
termination_reasons: List[str],
num_tokens: int,
tool_calls: List[ToolCallingRecord],
external_tool_call_requests: Optional[List[ToolCallRequest]] = None
):
- session_id (str, optional): The ID of the chat session.
- usage (Dict[str, int], optional): Information about the usage of the LLM.
- termination_reasons (List[str]): The reasons for the termination of the chat session.
- num_tokens (int): The number of tokens used in the chat session.
- tool_calls (List[ToolCallingRecord]): The list of function calling records, containing the information of called tools.
- external_tool_call_requests (Optional[List[ToolCallRequest]]): The requests for external tool calls.
Returns:
Dict[str, Any]: The chat session information.
handle_logprobs
def handle_logprobs(choice: Choice):
