Structured Outputs
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Updated
Jul 1, 2025 - Python
Structured Outputs
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Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
A unified evaluation framework for large language models
A framework for prompt tuning using Intent-based Prompt Calibration
Optimizing inference proxy for LLMs
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
Your Automatic Prompt Engineering Assistant for GenAI Applications
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
The Security Toolkit for LLM Interactions
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