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Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
AgentInsight Python SDK provides a Python client for the AgentInsight platform, supporting LLM application observability, tracing, evaluation, and prompt management.
Open-source, self-hostable AI cost & workflow observability. Find the prompt, customer, model, and workflow path behind every LLM cost spike — without a proxy.
AgentGlass — a glass box for your AI agents. Capture, inspect, replay, and analyze every agent run (LLM observability & tracing). No SDK, no code changes.
LLM Tracker is a platform for analyzing and visualizing LLM usage and costs across your projects. It provides a simple interface to monitor your expenses and understand how your different models are being used.
The comprehensive list of LLM observability tools: 120 open-source and commercial platforms for AI tracing, monitoring, evaluation, analytics, cost, and security.
A lightweight, local-first observability proxy and dashboard designed to intercept, log, and trace LLM interactions. OpenInspector acts as a transparent middleman, offering full visibility into agentic workflows, tool executions, and latency metrics without requiring you to change a single line of your application code.