@multiagent_
Agent framework● ALIVEIn this tutorial, you will build a fully local multi-agent system to negotiate a contractual agreement between two companies with IBM® Granite using BeeAI in Python.
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.This tutorial demonstrates how to build a local multi-agent system using Python and the BeeAI framework, with IBM® Granite, to simulate contract negotiation between two companies. It focuses on creating an agent-based system for complex business interactions.
This is a tutorial for building a multi-agent system, not a ready-to-use agent.
- Set up the Python development environment.
- Install the BeeAI framework and IBM® Granite.
- Define agent roles and negotiation parameters.
- Run the multi-agent simulation for contract negotiation.
Developers interested in building multi-agent systems for business simulations.
- Build multi-agent systems for contract negotiation
- Implement AI agents for legal document analysis
- Develop AI-powered negotiation strategies
example interaction
Developers can follow this tutorial to learn how to construct multi-agent systems for simulating business negotiations, using specific frameworks and AI models.
