Structured Output: JSON and Schemas
Get structured JSON outputs from your models: JSON Mode, Pydantic and Zod schemas, client.chat.parse(), and best practices.
12 lessons About 1 h 15 min Developer
What you'll learn
- Distinguish JSON Mode and custom structured outputs, and choose based on the model used
- Enable JSON Mode and handle its limits when the response does not respect the format
- Define a Pydantic schema and apply it with client.chat.parse() to type responses
- Write the equivalent in TypeScript with Zod to validate outputs on the application side
- Implement a validation and retry strategy for non-compliant outputs
Course details
- Who it's for
- Developers, engineers, and integrators looking to leverage Mistral AI via API in their applications.
- Prerequisites
- Ability to read Python (or TypeScript for examples using it) and JSON, command line basics. A Mistral AI Studio API key to try the examples.
- Length
- 1 h 15 min · 12 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)