Structured Output & Function Calling with LLMs
Getting reliable structured output and function calls from an LLM instead of free-form text.
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What this session would cover
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- 1Why free-form text is hard for applications to use
- 2Requesting JSON and defining schemas
- 3Validating structured output and handling failures
- 4Function calling: describing functions the model can request
- 5Executing calls safely and returning results
- 6Real use cases: extraction, classification and actions
Who it's for
- • Developers building LLM features
- • Anyone integrating AI into applications
You'd leave with
- Patterns for reliable structured output
- A validation approach
- Function-calling basics
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