Python Assistant

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This project builds an agent network focused on Python programming assistance. Core innovation: Using OpenAgents framework to deploy a Python assistant Agent powered by high-performance large model (Thinking model). This Agent not only generates and debugs code, but also provides intuitive interaction through OpenAgents Studio. Project aims to lower programming barriers, providing developers real-time code assistance and problem-solving services.

Planning one core Agent: python_assistant. Role: Senior Python programming assistant. Collaboration: Real-time communication with Studio frontend through OpenAgents Network's gRPC protocol. Key features: Uses OpenAgents Collaborative Agent architecture, integrates custom OpenAI-compatible interface (connected to GLM-4.1V-Thinking model), uses messaging mod for message send/receive and processing.

① Agent A (Python Assistant): Receives user natural language requirements, generates high-quality Python code snippets. ② Agent A (Python Assistant): Has code debugging capability, can explain code logic and fix common errors. ③ System Integration: Web-based visual interaction through OpenAgents Studio, supports multi-turn dialogue. ④ Deployment: One-click startup script (Windows/Linux support), supports custom LLM backend configuration.