AutoGen Multimodal Agents: Image Recognition & Structured JSON Output
Key Takeaways
Builds Multimodal AI agents that can recognize images and return structured JSON output using Pydantic
Original Description
Description:
Go beyond text! Learn how to build Multimodal AI agents that can "see" images and return data in a structured JSON format. We use Pydantic to define data schemas and teach agents to analyze images and return precise, validated technical outputs—perfect for building web apps and APIs.
Chapters:
0:00 Intro to Multimodal & Structured Output
1:20 Handling Images in AutoGen (PIL & Bytes)
3:45 Fetching Images via URL (Pexels/Picsum API)
5:30 Creating a MultimodalMessage for the Agent
8:00 Defining Data Structures with Pydantic
10:15 Forcing JSON Output from GPT-4o
12:45 Parsing Agent Responses into Python Objects
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Chapters (7)
Intro to Multimodal & Structured Output
1:20
Handling Images in AutoGen (PIL & Bytes)
3:45
Fetching Images via URL (Pexels/Picsum API)
5:30
Creating a MultimodalMessage for the Agent
8:00
Defining Data Structures with Pydantic
10:15
Forcing JSON Output from GPT-4o
12:45
Parsing Agent Responses into Python Objects
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Tutor Explanation
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