llm-observability
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🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
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Dec 17, 2025 - TypeScript
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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Dec 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.
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Dec 17, 2025 - Go
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
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Dec 17, 2025 - TypeScript
Open Source TypeScript AI Agent Framework with built-in LLM Observability
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Dec 17, 2025 - TypeScript
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
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Dec 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.
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Dec 17, 2025 - TypeScript
Context Data Platform for Agents. Join the community❤️:https://discord.acontext.io
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Dec 17, 2025 - Go
The open source post-building layer for agents. Our environment data and evals power agent post-training (RL, SFT) and monitoring.
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Dec 17, 2025 - Python
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
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Nov 26, 2024 - TypeScript
React components for visualizing traces from AI agents
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Nov 14, 2025 - TypeScript
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.
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Feb 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.
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May 14, 2025 - Python
A comprehensive solution for monitoring your AI models in production
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Dec 16, 2025 - Python
Open-source observability for your LLM application.
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Jan 2, 2025 - Python
🪢 Auto-generated Java Client for Langfuse API
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Aug 21, 2025 - Java
The reliability layer between your code and LLM providers.
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Jan 6, 2025 - Go
AI agent platform for building multi-agent systems with orchestration, memory, RAG, workflows, and enterprise observability.
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Oct 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.
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Jul 7, 2025 - Python
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