AI Agent API Costs: How ClawRouter Cuts LLM Spending by 500x

OpenClaw is one of the best AI agent frameworks available. Its LLM abstraction layer is not. The $248/Day Problem From openclaw/openclaw#3181 : "We ended up at $248/day before we caught it. Heartbeat on Opus 4.6 with a large context. The dedup fix reduced trigger rate, but there's nothing bounding the run itself." "11.3M input tokens in 1 hour on claude-opus-4-6 (128K context), ~$20/hour." Both users ended up disabling heartbeat entirely. The workaround: heartbeat.every: "0" — turning off the feature to avoid burning money. The root cause isn't configuration error. It's that OpenClaw's LLM layer has no concept of what things cost, and no way to stop a run that's spending too much. What OpenClaw Gets Wrong at the Inference Layer OpenClaw is an excellent orchestration framework — session management, tool dispatch, agent routing, memory. But every request it makes hits a single configured model with no awareness of: Cost tier — A heartbeat status check doesn't need Opus. A file read resul