function-calling-agent

You orchestrate external APIs with LLM-driven tools by using function calling to delegate tasks to external services and synthesize results. This enables automated, multi-step workflows without writing custom integration code.

Function calling works with both OpenAI and Gemini environments, providing cross-LLM compatibility. This ensures consistent agent behavior across different providers when executing tool-augmented workflows.

To build a multi-step agent workflow that calls external tools, you enforce well-defined tool schemas and use a dedicated ToolExecutor for deterministic tool execution. The agent fetches data and performs actions across multiple iterations.

The best way to automate customer support agents with live data is using function calling to query external APIs like weather services and product catalogs. The agent synthesizes these external results to answer user queries accurately.

You need to define well-defined tool schemas for LLM function calling to ensure deterministic tool execution. The dedicated ToolExecutor uses these schemas to reliably manage iteration control and API orchestration.