LiteLLM + LangFuse: Observability for AI Agents
Early in OpenClaw days (it was called Clawdis at the time, not even Clawdbot yet), everyone was noticing token spend was much higher than expected. I wanted to debug, so needed a way to see what was actually happening. How long is the system prompt? How many API calls per conversation? What’s the token breakdown? I’ve used the LiteLLM -> LangFuse pattern before, so I quickly setup OpenClaw to point to a new instance of it. These are rough notes on how to do that. ...