Five Common OpenClaw Configuration Issues That Inflate API Costs

A Reddit post from r/openclaw outlines five frequent configuration mistakes in OpenClaw instances that cause unnecessary API credit expenditure. The author, based on experience helping users, provides specific fixes for each issue.

Key Configuration Problems and Fixes

• Using the wrong model for routine tasks: The default configuration often points to the most expensive model available. For basic tasks like answering FAQs or routing messages, you don't need models like Opus or GPT-4. Switching to Sonnet or DeepSeek for routine tasks and reserving heavy models for complex reasoning can reduce costs by 60-80%.
• No token budget limits set: If you haven't set parameters like max_tokens_per_day in your config, a bad loop or a chatty user can drain your API balance overnight. The post mentions setups burning through over $200 in a single day due to the lack of a ceiling. The recommendation is to set a daily budget.
• Gateway is wide open: Check your gateway config. If auth.enabled is set to false (the default), anyone who finds your instance can read your messages, control your agent, and access your API keys. Recent scans indicate over 220,000 exposed instances. The fix is to enable authentication, set up TLS, and avoid binding to 0.0.0.0 unless necessary.
• Memory is eating your tokens: If long-term memory is enabled but never configured with pruning or summarization, the context window fills with old conversations, making each request more expensive over time. The solution is to set up memory pruning intervals and use summarization for older entries.
• Unaudited skills from ClawHub: Not all skills on ClawHub are safe; roughly 20% have been flagged as malicious or poorly written. Before installing any skill, read the source code, check for unexpected external API calls, and audit permissions. A bad skill can leak data or increase your bill.

The author concludes by inviting readers to share other issues in the comments for troubleshooting.