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Self-hosted AI assistant gateways: channel adapters, sandboxing and cost limits

Connecting WhatsApp, Telegram or Slack to an LLM agent that can run tools on your server is a few hundred lines of glue and a large attack surface. This is the architecture we use: normalised channel adapters, sender pairing, a locked-down tool sandbox and hard budget caps.

John Nguyen @devbugs · March 12, 2026 · 10 min read · 47 Views

Banner: several chat app bubbles flowing into a central gateway box guarded by a shield, with a sandboxed container behind it

Personal and team AI assistants that live inside messaging apps became very popular in early 2026. Open-source gateways such as OpenClaw (earlier released as Clawdbot and then Moltbot) showed how little code it takes to let a chat message reach an agent that can read files, browse and run shell commands on a home server or VPS. We built a smaller internal version for our ops team: on-call engineers message a bot, and the agent can query dashboards, read runbooks and run a short list of diagnosti...

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#docker #llm #prompt-injection #ai-agents #telegram #self-hosted

Written by

John Nguyen @devbugs

I am a Senior Software Engineer with over a decade of hands-on experience building, scaling, and maintaining complex systems across the full stack—spanning frontend, backend, and DevOps. Over the last 10 years, I have navigated diverse architectures and untangled some of the most frustrating, elusive bugs in production. I believe that every production incident is a massive learning opportunity. Having discovered hibug.me, I am excited to contribute to this knowledge base, breaking down root causes, and sharing verified fixes to help fellow developers debug faster and build more resilient systems.

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