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AIVideosSetting Up Tools for Your Agents | Multi Agent Workflows for Beginners | Part 7
AI

Setting Up Tools for Your Agents | Multi Agent Workflows for Beginners | Part 7

•November 27, 2025
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Data Science Dojo
Data Science Dojo•Nov 27, 2025

Why It Matters

This clarifies how to structure multi-agent systems and tool integrations, enabling more reliable task routing and orchestration across search and code-execution components—key for building scalable, modular AI assistants. It provides a practical template for developers to bootstrap supervisor-led agent workflows.

Summary

The video walks through setting up tools and a supervisor agent for multi-agent workflows, using slides and screenshots to explain architecture rather than live coding. The instructor shows creating two tools—a web search tool and a Python REPL tool—importing and initializing them from a library. A supervisor agent is then instantiated with a prompt that defines its role: detect user intent, route tasks to the appropriate tool/worker, manage conversation and task status, and execute steps sequentially. The session concludes with running the initialization cell to demonstrate the configured workflow.

Original Description

In Part 7, we dive into creating and setting up the tools that your agents will use in a workflow.
In this session:
- Learn how to initialize tools like web search and Python execution modules
- Set up your supervisor agent to manage and route tasks between tools
- Understand how the supervisor detects intent and chooses the right tool or agent
- See how prompts guide your supervisor to coordinate tasks and responses
This part focuses on building the building blocks for agent functionality, so your workflow can start performing real tasks.
#AI #MultiAgent #AgenticAI #LLM #WorkflowTools #GenerativeAI #Automation #HealthcareAI
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