The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨
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Updated
Jun 5, 2025 - TypeScript
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework
WIP - Allows you to create DSPy pipelines using ComfyUI
Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models
Simple Graph Memory for AI applications
Explore the use of DSPy for extracting features from PDFs 🔎
A framework for pitting LLMs against each other in an evolving library of games ⚔
The Ruby framework for programming—rather than prompting—language models.
🤖 AIDevOS: AI-Driven Autonomous DevOps System | Multi-agent collaboration framework with DSPy integration for automated application development and deployment via Durable Objects
Stateful AI Agent for Knowledge Extraction
A focus on aligning room elements for better flow and space utilization.
Sentiment analysis of DynaSent and SST reviews using ELECTRA and GPT collaboration
A PoC of using Weaviate + DSPy to make a BookStore CoPilot
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