Add multi-agent workflow tutorial with orchestration patterns#1020
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- Add Multi_Agent_Workflow.ipynb demonstrating agent collaboration - Implement Agent and Tool base classes with OpenAI-compatible API support - Create specialized agents: Researcher, Critic, and Writer with tool schemas - Build MultiAgentOrchestrator for coordinating multi-step workflows - Include advanced patterns: parallel execution, debate, and chain patterns - Update agents/README.md with tutorial table and documentation
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Summary
Adds a comprehensive tutorial for building multi-agent systems using Llama 4 models, addressing the gap in multi-agent orchestration examples identified in issue tracking.
Changes
New Files
Key Components
Use Case
Research Assistant system demonstrating how three agents collaborate to research a topic, evaluate findings, and synthesize a polished report.
Testing
Documentation
Review Notes
This contribution fills a significant gap in the agents directory, which previously only contained basic tool-calling examples. The tutorial follows established patterns from existing notebooks and provides practical, extensible code for multi-agent workflows.