Overview
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This video explores the newly released Agents API from Mistral AI, examining how the company is developing an agentic ecosystem around their language models. Learn about the current landscape of agent frameworks before diving into Mistral's approach through their official blog announcement. Watch demonstrations of practical examples showing the API in action, and discover resources available in the Mistral AI Cookbook on GitHub. The tutorial also covers official documentation to help you implement these agent capabilities in your own projects. For developers interested in building LLM agents, this 15-minute guide provides a concise overview of Mistral's agent system with links to additional resources including a Colab notebook for hands-on experimentation.
Syllabus
00:00 Intro
00:11 Agent Frameworks
01:44 Mistral AI Agents API Blog
07:57 Examples
09:18 GitHub: Mistral AI Cookbook
13:20 Mistral AI Docs
Taught by
Sam Witteveen
Reviews
5.0 rating, based on 1 Class Central review
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The course doesn't just skim the surface. It walks you through the actual API structure, how to define agents, assign them tools, and chain them together into functional workflows. The code examples are clean and follow along easily, which is a relief compared to tutorials that speed through the implementation without explanation. Seeing real use cases — like a research agent that delegates tasks to sub-agents — really helps cement the concepts.