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#

structured-outputs

Here are 45 public repositories matching this topic...

A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface.

  • Updated Mar 6, 2026
  • Python

This repository demonstrates structured data extraction using various language models and frameworks. It includes examples of generating JSON outputs for name and age extraction from text prompts. The project leverages models like Qwen and frameworks such as LangChain, vLLM, and Outlines for Transformers models.

  • Updated Aug 16, 2025
  • Python

Turnkey prompt-chaining template for Claude/OpenAI workflows. LangGraph-orchestrated sequential agents (Analysis-Processing-Synthesis) with validation gates. Observability-first: auto distributed tracing, token/cost tracking, quality metrics--zero boilerplate.

  • Updated Nov 15, 2025
  • Python

An agentic AI system that automatically drafts, evaluates, formats, and sends professional Master's scholarship application emails to universities using multiple LLMs, structured outputs, input guardrails, and SendGrid email delivery -- all orchestrated from a single Jupyter Notebook.

  • Updated Dec 22, 2025
  • Jupyter Notebook

structuinput transforms natural language inputs into structured outputs like API templates, config files, and data schemas, streamlining development and integration.

  • Updated Dec 22, 2025
  • Python

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