Skip to main content
This is lesson 6 of 8 in this module Course 24% complete
Prev Next Skip

Using the Code Interpreter Tool

Premium Content

Sign in with your account or sign up to access this lesson.

Sign In Sign Up

We show how to enable the code interpreter tool so the LLM can offload math and logic problems to a sandboxed Python environment, bypassing hallucinated calculations and allowing the agent to perform almost any task expressible as code.

Previous Next
Previous Module The Principles of Responsible AI
This Module Develop a Generative AI Chat App
Develop a Generative AI Chat App with Microsoft Foundry
Develop a Generative AI Chat App with Microsoft Foundry
Choosing an Endpoint and SDK
Choosing an Endpoint and SDK
Comparing ChatCompletions and Responses API
Comparing ChatCompletions and Responses API
Comparing Per-Turn Code Patterns
Comparing Per-Turn Code Patterns
Tools and Agents
Tools and Agents
Using the Code Interpreter Tool
Using the Code Interpreter Tool
Using Web Search and File Search Tools
Using Web Search and File Search Tools
Using the Function Tool
Using the Function Tool
Next Module Optimizing Generative AI Chat Apps