A focused, hands-on module that explores core features of MAF through four small labs. You’ll run provided examples, make targeted edits, and observe how changes affect behavior. The aim is practical familiarity, not production design.
What you’ll do
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Lab 1: Introduction to MAF
- Run a basic agent, tweak configuration and prompts, and review logs.
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Lab 2: Agent Memory and Context
- Compare short-lived and persisted state, manage context, and reset/restore sessions.
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Lab 3: Function Tools
- Connect simple tools, pass structured inputs, handle results, and basic errors.
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Lab 4: Multi‑Agent Orchestration
- Route tasks between agents, try handoffs, and test simple coordination patterns.
What to expect
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Step-by-step checklists and runnable samples you can adapt into small prototypes.
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Outcomes: the goal is to understand how the pieces fit and to reliably run and modify the examples, not to cover deployment, scaling, or advanced optimization.
