Function Calling Pattern
Enable AI models to use tools and execute functions for interacting with external systems, databases, and APIs through natural language.
What's Included#
- Tool definition with JSON Schema parameter descriptions
- Tool execution handling with type-safe argument parsing
- Multi-tool conversations with iterative function calling loops
- Parallel tool execution for independent function calls
- Error handling for failed tool executions with graceful recovery
- Integration with Vercel AI SDK tool definitions
Usage#
Via CLI#
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Via AI Assistant#
Ask your AI assistant:
- "Use the function calling pattern from Bootspring"
- "Apply the Bootspring function calling pattern to my project"
Key Considerations#
- Write clear, specific tool descriptions so the model knows when to use each tool
- Validate and sanitize all function arguments before execution for security
- Set iteration limits on tool-calling loops to prevent runaway execution
- Handle tool execution errors gracefully and return informative error messages
- Keep tool definitions focused on single responsibilities for reliable selection