Awesome Infra for AI › LLM Observability & Tracing

cyberark/agentwatch

⭐ 125 Python repository created 2025-03-26

Agentwatch is an advanced observability framework designed to provide deep insights into the runtime behavior of AI agents. It focuses on tracking and analyzing interactions within AI-driven applications, particularly those involving Large Language Models (LLMs) and various tools. The framework offers comprehensive interaction tracking, monitoring LLM calls and tool usage in real-time. It captures detailed metadata, including tool inputs, arguments, and performance metrics, to provide a complete picture of agent operations. Agentwatch supports multiple AI development frameworks, including Langgraph and Autogen, and is designed to be compatible with any Python-based application utilizing LLMs. A key feature is its one-liner observability integration, allowing developers to gain instant insights with minimal setup. It also provides advanced visualization capabilities to generate intuitive graphs for in-depth analysis of agent behavior. The project's primary purpose is to help developers optimize their AI-driven applications by offering unprecedented visibility and understanding of how agents interact with their environment and perform tasks.

https://github.com/cyberark/agentwatch

agentagentic-aiaicybersecuritylarge-language-modelsllmllm-frameworkllm-observabilityllm-toolsmachine-learningmonitoringobservabilitysecurity

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