This article details a Python-based tool-use loop designed for Claude Opus 5.5. It specifically addresses how to correctly manage various stop reasons within the Claude agentic loop, including tool_use, end_turn, max_tokens, pause_turn, and refusal. The implementation aims to provide a robust method for interacting with the Claude model without requiring an API key. AI
IMPACT Provides a practical solution for developers integrating Claude Opus 5.5 into applications by managing complex interaction states.
RANK_REASON The item describes a specific implementation detail for using an existing AI model, rather than a new release or significant industry event.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →