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This post is a bit of a field-notes dump from getting OpenClaw running in my own Docker environment, wiring it up to Discord/GitHub, and then realizing I wanted Azure AI Foundry models – so I ended up introducing LiteLLM as a proxy.

I will be honest: I expected to spend more time fighting glue code than actually using the thing. Instead, once I got Discord and GitHub dialed in (and stopped being surprised by what was blocked vs what was actually broken), it stopped feeling like a demo and started feeling like something I can actually keep around.


TL;DR

  • I run OpenClaw in Docker, but I had to extend the image to include tools needed by certain skills (e.g., gh, ffmpeg, etc.).
  • I wanted Azure OpenAI / AI Foundry models; OpenClaw didn’t support them directly in my setup, so I added a LiteLLM container and pointed OpenClaw at it.
  • Discord setup works, but the terminology is a little quirky (“guild” == server) and you often need channel IDs, not friendly names.
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