I Built an Observability Tool Because I Was Tired of Debugging LLM Apps By Hand

I built Obyflow, an open-source observability tool, because I kept running into the same problem: debugging an LLM application rarely looks like debugging a normal web app.

A stack trace tells you where the code broke. It doesn’t tell you that the model call succeeded but the retriever returned nothing. It doesn’t tell you that a vector search technically worked but came back with terrible similarity scores. It doesn’t tell you that your agent is stuck waiting on a tool call three steps deep, or that a model’s behavior quietly shifted after a deploy.

You can piece all of that together from logs, traces, and a vector DB console. I did it manually for a long time. Eventually I decided the actual goal shouldn’t be “collect more telemetry.” It should be answering the question I actually cared about:

What went wrong?

That’s what I built Obyflow to do.

What...

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