Multi-Agent Research
Orchestrate 4 or 16 agents in parallel with grok-4.20-multi-agent: leader architecture, shared tools, and enriched results.
14 lessons About 1 h 15 min Developer
What you'll learn
- Distinguish the role of the leader and sub-agents in the flow of a multi-agent request
- Decide between 4 and 16 agents based on expected search depth and budget
- Implement multi-agent search with the xAI SDK, the OpenAI SDK, or the Vercel AI SDK
- Leverage web_search and x_search considering the absence of custom function calling
- Master cumulative billing of agents and chain turns with previous_response_id
Course details
- Who it's for
- Developers, engineers, and integrators looking to leverage Grok via API in their applications.
- Prerequisites
- Ability to read Python (or TypeScript for examples using it) and JSON, command line basics. An API key from the xAI console to try the examples.
- Length
- 1 h 15 min · 14 lessons
- Format
- 100% online self-paced course, accessible 24/7 from a browser. Progress saved, resume anytime. Estimated duration: 1 h 15 min.
- Assessment
- Self-assessment based on the Key takeaways concluding each lesson, and direct implementation of examples on your own examples. A final quiz of 5 corrected questions, at the end of the last lesson, validates acquired skills.
- Accessibility
- Course accessible to people with disabilities: text content compatible with screen readers, keyboard navigation, and compliant contrasts. For any adaptation needs, email [email protected].
- Price
- Free
- Recognition
- Certificate of completion issued by Corsen AI, verifiable online.
- Syllabus
- Download the syllabus (PDF)