Implementation
- How do I implement function calling in Python?
To implement function calling in Python, use an AI API that supports it (like OpenAI), define your functions as tools, send a request, parse the tool call, execute the function, and return results to the model. - What is the best way to define tools for AI?
Define tools as JSON Schema objects with a name, description, and parameters. Include clear descriptions and required fields to help the model understand when and how to use each tool. - How do I parse tool call responses?
Tool call responses come as structured JSON with a tool name and arguments. Extract the function name and parse the arguments string (often JSON) into an object, then execute your function. - Can I use function calling with streaming?
Yes, most major AI platforms support streaming with function calling. The tool call arguments arrive incrementally as deltas, so you need to accumulate them before parsing. - How do I handle authentication for AI tool calls?
Authenticate tool calls by using API keys or OAuth tokens in your server-side code, never in client-side prompts. Store secrets securely and validate permissions before executing tools. - Should I use a framework for AI tool calling?
It depends on your needs. Frameworks like LangChain or OpenAI's SDK can simplify tool calling, but for simple use cases, direct API calls may be sufficient and give you more control.