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"The discovery that our tickets were fraudulent left us completely stunned," Shashikala recounted. "We were prepared for departure when the truth emerged."
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This guide walks through constructing a full AgentScope process from scratch, executing all steps within Colab. We begin by integrating OpenAI via AgentScope and testing a simple model query to grasp message and reply management. Next, we create personalized tool functions, add them to a toolkit, and examine the automatically created schemas to observe how tools become accessible to the agent. We proceed to implement a ReAct-driven agent that intelligently chooses when to utilize tools, then establish a multi-agent discussion framework employing MsgHub to mimic organized exchanges between agents. We subsequently apply structured outputs using Pydantic and run a simultaneous multi-agent sequence where several experts examine an issue concurrently, with an integrator merging their findings.
- src/classify/prompts.py (new: few-shot templates for ambiguous cases)