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#

llm-observability

Here are 31 public repositories matching this topic...

langfuse

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

  • UpdatedDec 17, 2025
  • TypeScript

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

  • UpdatedDec 17, 2025
  • Python

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

  • UpdatedDec 17, 2025
  • Go

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

  • UpdatedDec 17, 2025
  • TypeScript
agenta

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

  • UpdatedDec 17, 2025
  • Python

Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.

  • UpdatedDec 17, 2025
  • TypeScript
judgeval

The open source post-building layer for agents. Our environment data and evals power agent post-training (RL, SFT) and monitoring.

  • UpdatedDec 17, 2025
  • Python

Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework

  • UpdatedNov 26, 2024
  • TypeScript
oss-llmops-stack

Modular, open source LLMOps stack that separates concerns: LiteLLM unifies LLM APIs, manages routing and cost controls, and ensures high-availability, while Langfuse focuses on detailed observability, prompt versioning, and performance evaluations.

  • UpdatedFeb 15, 2025

A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers to monitor, analyze, and optimize AI-driven applications with minimal integration effort.

  • UpdatedMay 14, 2025
  • Python

Open-source observability for your LLM application.

  • UpdatedJan 2, 2025
  • Python

Streamlit-based chatbot leveraging Ollama via LangChain and PostHog-LLM for advanced logging and monitoring

  • UpdatedMay 8, 2024
  • Python

AI agent platform for building multi-agent systems with orchestration, memory, RAG, workflows, and enterprise observability.

  • UpdatedOct 27, 2025

A Python package for tracking and analyzing LLM usage across different models and applications. It is primarily designed as a library for integration into development process of LLM-based agentic workflow tooling, providing robust tracking capabilities.

  • UpdatedJul 7, 2025
  • Python

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