AgentLens

What it does

AI agents in production lack the observability they need. When something breaks, developers have no trace of which call failed, what the model received, or why costs spiked. AgentLens solves this. Full session traces across every LLM call — costs, latency, errors, and prompt/completion logs. Framework-agnostic. Proxy-based integration requires zero code changes. Self-hostable via Docker Compose. TypeScript and Python SDKs included. MIT licensed.

Open-source AI agent observability. One line of code traces every LLM call across OpenAI, Anthropic, Gemini, Cohere, and Mistral. Track costs, debug errors, replay sessions. Self-host with Docker in 2 minutes. Free forever.

Drop in @farzanhossans/agentlens . OpenAI, Anthropic, Gemini, Cohere, Mistral — every call traced automatically. Costs, errors, session replay included. No client wrappers, no code changes inside your call sites. Your agent returned the wrong answer. You have no idea which LLM call went wrong. Your OpenAI bill hit $2,000. You can't explain which agent or feature caused it. A bug in production. You can't reproduce it because you have no trace of what the model saw. 5 agents, 3 models, streaming everywhere. Something broke. Good luck finding which call. The universal SDK covers every major provider in one line. Drop down to manual tracing when you need custom span hierarchies. Drop in…from agentlens.techmatbd.com

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