Gracefully Handle OpenClaw API Overload Errors: Keep Your AI Agents Running

Prerequisites

• OpenClaw installed and running (latest version via npm install -g openclaw@latest or Docker setup).
• At least one active API key or OAuth profile from a provider like Anthropic, OpenAI, or Google.
• Basic access to your terminal and the ~/.openclaw/ directory.
• A messaging channel (Telegram, WhatsApp, etc.) connected to test responses.

Non-obvious note: Overload errors in OpenClaw often stem from internal cooldowns or bloated session transcripts rather than true provider limits. Always run the latest version to benefit from fixed false-positive handling.

Step 1: Set Up the Environment

Verify your installation and check current status:

openclaw --version
openclaw status --all

Expected output: Shows active gateways, models, and any cooldown flags like cooldownUntil for profiles.

If issues appear, run the built-in fixer:

openclaw doctor --fix

This auto-corrects most config mismatches and clears transient errors.

Step 2: Understand the Overload Errors

OpenClaw triggers "AI service is temporarily overloaded" or rate-limit messages on:

• True 429/TPM limits from providers.
• Bloated context (huge .jsonl transcripts re-sent every turn).
• Internal cooldowns after timeouts or misclassified 5xx responses.

The gateway uses exponential backoff (1 min → 5 min → 25 min → 1 hr) and rotates auth profiles before falling back to other models. Graceful handling means configuring fallbacks and resetting state proactively.

Step 3: Configure Model Fallbacks for Automatic Switching

Edit your main config to enable seamless failover:

nano ~/.openclaw/openclaw.json

Add or update the defaults section:

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "anthropic/claude-opus-4",
        "fallbacks": [
          "openai/gpt-5.4",
          "google/gemini-3-flash-preview",
          "minimax/MiniMax-M2.5"
        ]
      }
    }
  }
}

Save and restart the gateway:

openclaw gateway restart

How it works: When all profiles for the primary model hit cooldown (rate limit or overload), OpenClaw instantly tries the next in fallbacks. No manual intervention needed for most cases.

Step 4: Monitor and Manage Cooldowns

Check live profile health:

openclaw status --all

Expected output example:

Provider: anthropic/claude-opus-4
  cooldownUntil: 2026-03-12T17:45:00Z
  errorCount: 3

Cooldowns auto-expire, but force a reset if stuck:

openclaw reset --scope sessions

This clears pinned sessions without losing credentials. For full profile recovery:

openclaw reset --scope config+creds+sessions --yes

Step 5: Clear Bloated Conversation State

Large transcripts are the #1 hidden cause of persistent overloads.

In your chat channel, send:

/reset

Or use CLI for bulk cleanup:

openclaw sessions prune --older-than 24h

Pro tip: Enable daily auto-reset in config:

{
  "session": {
    "reset": {
      "mode": "daily",
      "atHour": 4
    }
  }
}

Restart gateway afterward. This keeps context lean and prevents overload loops.

Step 6: Add Custom Retries for Advanced Agents

For skills or plugins that call external APIs, wrap requests with retry logic.

Example plugin snippet (in your custom skill):

async function callWithRetry(apiFn, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await apiFn();
    } catch (err) {
      if (!err.message.includes('overloaded') && attempt === maxRetries - 1) throw err;
      await new Promise(r => setTimeout(r, 1000 * Math.pow(2, attempt)));
    }
  }
}

Register the skill via openclaw skills enable your-skill and test with a sample message.

Common Issues & Troubleshooting

• False rate limits on all models: Update OpenClaw (npm install -g openclaw@latest) — recent fixes changed default cooldown reason to "unknown" for faster recovery.
• Overload after complex tasks: Prune sessions immediately; large RAG/context injection triggers it.
• Fallbacks not triggering: Confirm order in openclaw.json and restart gateway. Primary must fail completely before next activates.
• Persistent cooldown after restart: Run openclaw reset --scope sessions or manually delete ~/.openclaw/agents/*/agent/auth-profiles.json (backup first).
• High costs during failover: Prioritize cheaper fallbacks like Gemini Flash or MiniMax in the array.

If openclaw status still shows errors, run openclaw doctor --fix again and check provider dashboards for actual quotas.

Next Steps

• Test your setup with deliberate overload simulation: send rapid complex queries and watch fallbacks kick in.
• Add logging: enable verbose mode with openclaw gateway --verbose for production monitoring.
• Explore provider-specific tweaks (e.g., Anthropic OAuth for higher limits).
• Scale to multi-agent setups by duplicating fallbacks per agent ID.

Your OpenClaw agents will now recover silently from overloads, delivering uninterrupted AI assistance.