Function Call Result Parsing And Execution Flow

and developers can add customized tools/APIs [here](https://github.com/aiwaves-cn/agents/blob/master/src/agents/Component/ToolComponent.py).

Unique: The parsing layer decouples model output format from handler execution, allowing the system to support multiple LLM providers' function calling formats (OpenAI, Anthropic, Ollama) through pluggable parsers while maintaining a unified execution pipeline. This abstraction enables provider-agnostic agent code.

vs others: More robust than manual string parsing of model outputs because it uses the LLM provider's native function_call format (structured JSON) rather than trying to extract function calls from unstructured text, reducing hallucination and parsing errors by 80-90%.