ClawdBot Field Guide
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ClawdBot Troubleshooting: Common Issues & Solutions Guide

A quick path to fixes: installation problems, API/provider errors, tool integrations, performance bottlenecks, and security/auth issues.

ClawdBot Field Guide is an independent, third‑party site that curates practical explanations from the included article set. This page is a topic hub built from multiple focused write-ups, so you can read end-to-end or jump directly to the subsection you need.

If you’re new, skim the table of contents first. If you’re evaluating an implementation or making a purchase decision, pay attention to the tradeoffs and check the references at the end of each subsection.

Below: 5 subsections that make up “ClawdBot Troubleshooting: Common Issues & Solutions Guide”.

Installation & Setup Issues

Most ClawdBot setup problems fall into a few predictable buckets: runtime mismatch (Node), missing credentials (model provider), network/ports (gateway not reachable), or pairing/access control (messages not routed). The fastest troubleshooting strategy is to make the system observable: confirm each layer works before moving on.

A quick troubleshooting checklist

  1. Runtime: confirm your Node.js environment is compatible.
  2. Install: confirm the CLI is installed and reachable in your shell.
  3. Model: confirm provider credentials are set and valid.
  4. Gateway: confirm the gateway process is running and listening.
  5. Channel: confirm your messaging channel is connected/paird.
  6. Permissions: confirm tools are enabled and approvals aren’t blocking silently.

Common fixes

  • upgrade Node.js if you see runtime/ESM errors
  • re-run the onboarding wizard if configuration drifted
  • check firewall/port conflicts if the gateway won’t bind
  • review allowlists and pairing approvals if messages arrive but don’t trigger agents

References

API & Model Provider Issues

When ClawdBot “stops thinking,” the underlying issue is often provider-side: invalid keys, rate limits, incorrect model names, or temporary outages. Because the gateway is self-hosted, you can usually isolate the problem quickly by separating “can I call the model?” from “can the agent run tools?”

The common failure modes

  • Auth errors: wrong API key, missing env vars, revoked key.
  • Rate limiting: too many requests or high token usage bursts.
  • Model mismatch: selecting a model that the provider/account can’t access.
  • Timeouts: network issues or long tool chains.

Practical mitigations

  • keep a fallback model for non-critical workflows
  • use cheaper models for scheduled summaries to reduce bursts
  • shorten prompts/memory to cut token usage
  • add retries with backoff for transient errors (not infinite loops)

References

Tool & Integration Troubleshooting

Tool failures are usually more straightforward than model failures: a tool either can’t run (permissions), can’t connect (network/auth), or ran but produced unexpected results (inputs). The key is to debug tools like you would debug any automation pipeline: verify prerequisites, test the tool in isolation, then reintroduce agent logic.

Where to look first

  • Is the tool enabled for this agent?
  • Does the tool require approvals and are they being granted?
  • Are credentials present and scoped correctly?
  • Does the integration work when executed manually (outside the agent)?

Common tool issues

  • browser automation blocked by login/2FA or site changes
  • webhooks failing due to wrong endpoint or missing secret
  • skills not discovered due to folder structure or naming

Debugging tactics that save time

  • reduce the workflow to one tool call and confirm it works
  • add logging and capture tool outputs verbatim
  • isolate state (use a clean workspace/profile) to eliminate “it worked yesterday” drift

References

Performance & Scaling Issues

Performance problems in AI assistants usually come from one of three places: too much context (memory/prompt bloat), too many concurrent workflows (agents/jobs), or heavyweight tools (browser automation). Scaling ClawdBot is therefore mostly about making work smaller and more predictable.

The biggest performance levers

  • Reduce context: keep memory concise and task-specific.
  • Split workflows: break giant prompts into small steps with clear outputs.
  • Use the right model tier: don’t run expensive models for routine summaries.
  • Control concurrency: stagger cron jobs; avoid triggering multiple heavy browsers at once.

Infrastructure scaling options

  • move from local to VPS for stability
  • upgrade CPU/RAM if you run many browser sessions
  • separate agents across hosts if you reach real concurrency limits

References

Security & Authentication Issues

Security problems typically look like “it won’t connect” or “permission denied,” but the underlying cause is usually correct: the system is trying to protect you. Pairing, allowlists, and credential files are designed to prevent a self-hosted assistant from becoming a public endpoint.

Common symptoms and causes

  • Pairing failed: code expired, wrong channel, or the gateway wasn’t the one generating it.
  • Auth token errors: rotated token/key but didn’t restart or update config.
  • Permission denied: file permissions too strict (or too loose and blocked by hardening checks).
  • Unexpected tool blocks: approvals required but not granted.

Safe resolution steps

  1. Confirm the gateway is running on the expected host.
  2. Review security settings (allowlists/pairing rules).
  3. Rotate exposed tokens/keys and re-run configuration if needed.
  4. Re-test with a single trusted chat before enabling multi-channel access.

References

Related guides

These pages cover adjacent questions you’ll likely run into while exploring ClawdBot:

Troubleshooting checklist (fast path)\n\nWhen something breaks, you’ll usually find the cause faster by checking these in order: (1) credentials and tokens, (2) permissions/allowlists, (3) network connectivity, (4) model provider limits, and (5) recent upgrades. If you keep a small “known good” workflow you can run end-to-end (for example: send a message → run a trivial tool → reply), it becomes much easier to tell whether the problem is global or isolated to one integration.\n\nFor production-like setups, add a lightweight uptime check and a small log-retention policy so you have enough evidence to debug without storing sensitive data forever.