The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
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Updated
Mar 24, 2026 - Rust
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
React Native Apple LLM plugin using Foundation Models
Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
OpenAPI definitions, converters and LLM function calling schema composer.
Where conversations become interfaces.
Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.
🚬 cigs are chainable Ai functions for typescript. Call functions with natural language and get a response back in a specified structure. Uses OpenAI's latest Structured Outputs.
Open-source agentic schema CLI. Optimised for claude code, gemini, codex and co-pilot. Skills included.
[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction
Declarative LLM-powered analyzer for security events and all types of logs. Extracts, structures, and visualizes data for Kibana/Elasticsearch.
Making LLM Tool-Calling Simpler.
Structured output benchmarks comparing DSPy and BAML with different LLMs
(Discontinued) Non-Pydantic, Non-JSON Schema, efficient AutoPrompting and Structured Output Library
A comprehensive Go client library for the Perplexity AI API with support for chat completions, async jobs, streaming, multimodal messages, structured outputs, and web search integration
Validation, JSON & OpenAPI Schema for Go with Union support. Inspired by Pydantic & FastAPI.
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