langfuse/langfuse
Langfuse is an open-source LLM engineering platform for developing, monitoring, evaluating, and debugging AI applications, offering observability, prompt management, and evaluation capabilities.
Awesome Infra for AI › LLM Observability & Tracing
rajudandigam/agent-inspect
Agent Inspect is a TypeScript library designed for local observability, tracing, and debugging of AI agent execution. It allows developers to understand step-by-step what happens inside an AI agent run, including manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata. The project emphasizes local-only operation, storing execution traces as JSONL files without requiring cloud accounts, collectors, or hosted dashboards, which promotes privacy and reduces costs. It supports various AI frameworks and SDKs like Vercel AI SDK, OpenAI Agents JS, and LangChain through dedicated adapters. Key features include local inspection, reporting, and diffing of AI agent runs, integration with CI/CD pipelines for artifact checks, and safe sharing mechanisms with redaction profiles to protect sensitive data. Agent Inspect also offers local evaluation heuristics, deterministic guardrail rules, and analyzers for loops, retries, and timeouts, making it a comprehensive toolkit for AI agent development and operational visibility.
https://github.com/rajudandigam/agent-inspect
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