Generate Structured JSON Outputs from LLMs
Semantic Kernel skill that generates structured JSON outputs and typed responses from large language models using Python examples for JSON schema enforcement.
Why it matters
Leverage Large Language Models (LLMs) to reliably generate structured JSON outputs and typed responses, enabling seamless integration with downstream applications and data processing pipelines.
Outcomes
What it gets done
Generate JSON data from unstructured LLM responses.
Implement function calling for precise data extraction.
Ensure LLM outputs conform to predefined schemas.
Process and utilize LLM-generated structured data.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/sk-concept-structuredoutputs | bash Overview
Semantic Kernel - Structured Outputs
This skill enables generation of structured JSON outputs and typed responses from large language models within the Semantic Kernel framework. It includes two Python example implementations: json_structured_outputs.py demonstrates direct structured output generation, while json_structured_outputs_function_calling.py shows how to achieve structured data through function calling patterns. Use this skill when you need LLM responses to conform to specific data schemas rather than returning freeform text. It is ideal for applications requiring type-safe parsing, database insertion, API payloads, or any scenario where predictable JSON structure from LLM outputs is essential.
What it does
When you need to extract predictable, type-safe data from LLM responses instead of parsing freeform text, this skill helps you generate structured JSON outputs and typed responses from large language models. It provides two Python implementation patterns: json_structured_outputs.py for direct structured output generation and json_structured_outputs_function_calling.py for function-calling-based approaches, ensuring LLM responses conform to defined schemas.
Source README
Generating structured JSON outputs and typed responses from LLMs
Examples (2 files):
json_structured_outputs.pyjson_structured_outputs_function_calling.py
Discussion
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