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How to Integrate Agent APIs: Four Verification Points from Framework Configuration to Tool Calling
AI Agents rely on the underlying model's native tool calling for multi-turn reasoning; when integrating OpenAI-compatible APIs, verify four key points: passthrough support for tools parameters, complete long-context retention, clear rate limits, and state tracking after tool returns.
How to Write a Tool Calling API? Four-Layer Cross-Model Differences and the Loop Skeleton
This article provides a portable tool calling loop skeleton, breaking down four layers of differences across models: function declarations, trigger control, return structure, and multi-step termination, along with adapter design, verification methods, and a regression checklist.
