Agentic Ledger: an open source flight recorder for AI agents (looking for testers and contributors)

I have been building an open source tool called Agentic Ledger and it just reached the point where I need more eyes on it than my own. This post is an introduction and an ask. The problem AI agents run unattended. They call LLMs in loops, use tools, spawn sub-agents, and spend real money, and most of that happens where you cannot see it. When an overnight coding loop burns $40 getting stuck on the same failing test, or a multi-agent crew quietly retries itself into a huge bill, you usually find out from the invoice. The observability tools that exist mostly want you to instrument your code with an SDK, and each one speaks one framework. I wanted the opposite: something that watches everything, requires changing nothing, and keeps the data on my machine. What it is Agentic Ledger is a transparent proxy that sits between your agent and the LLM provider. You point your agent's base_url at it, and it records every request and response, assigns each call an action id, works out what it cost, and passes the response through untouched. Your agent never knows it is there. Your Agent -> Agentic Ledger Proxy -> OpenAI / Anthropic / any gateway | SQLite or Postgres | Live dashboard + API No SDK, no decorators, no monkey patching. It works with any framework and any provider because it operates at the only layer they all share: the HTTP call. Everything is local-first. Your prompts stay in a SQLite file on your machine (or your own Postgres). MIT licensed. Try it in two minutes pip install -U agentic-ledger AGENTICLEDGER_UPSTREAM_URL = https://api.openai.com python -m agenticledger.proxy Or with Docker (multi-arch, non-root, Sigstore-signed): docker run -p 8000:8000 \ -e AGENTICLEDGER_UPSTREAM_URL = https://api.openai.com \ -v $( pwd ) /data:/data \ ghcr.io/shekharbhardwaj/agentic-ledger:latest Then point your agent at it: client = OpenAI ( base_url = " http://localhost:8000/v1 " , default_headers = { " x-agenticledger-session-id " : " run-1 " }, ) For coding agents like Claude