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#

llm-observability

Here are 29 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

  • UpdatedNov 29, 2025
  • TypeScript

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

  • UpdatedNov 28, 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.

  • UpdatedNov 29, 2025
  • Go

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

  • UpdatedNov 27, 2025
  • TypeScript
agenta

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

  • UpdatedNov 28, 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.

  • UpdatedNov 27, 2025
  • TypeScript
judgeval

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

  • UpdatedNov 29, 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

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

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

  • UpdatedOct 27, 2025

Check if your AI sounds like your brand, stays safe, and behaves consistently. Works with your custom GPTs, hosted APIs, and local models. Get detailed reports in minutes, not days.

  • UpdatedNov 12, 2025
  • HTML

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