How CVC Cuts Your LLM API Bill by 90%
How CVC Cuts Your LLM API Bill by 90%
The Hidden Cost of AI Amnesia
Every time your AI session crashes, every time you restart VS Code, every time the AI forgets and you start a new session — you're paying for the same context processing all over again.
A typical 2-hour coding session might accumulate 50K tokens of conversation. If the AI crashes and you restart, you need to re-provide that context. At Claude Opus rates ($15 per million input tokens), that's $0.75 just to get back to where you were. Do that 5 times a day, and you're burning $3.75 on re-prompting alone.
How CVC Saves 90%
CVC integrates with prompt caching — a feature available from Anthropic, OpenAI, and Google.
Here's how it works:
- You save a CVC checkpoint with 50K tokens of context
- The AI crashes or the session ends
- You restore the checkpoint with
cvc restore - CVC sends the cached context to the LLM provider
- The provider recognizes the cached prefix and charges ~90% less for those tokens
- You're back to full speed for pennies
Real-World Savings
| Scenario | Without CVC | With CVC | Savings |
|---|---|---|---|
| 1 crash per day | $0.75/recovery | $0.08/recovery | 90% |
| 5 restarts per day | $3.75/day | $0.38/day | 90% |
| Team of 10 developers | $37.50/day | $3.75/day | 90% |
| Monthly (team of 10) | $750/month | $75/month | $675 saved |
Plus: Reduced Latency
Prompt caching doesn't just save money — it saves time. Cached context is processed ~85% faster by the LLM provider. Restoring a 50K token checkpoint takes seconds instead of the 30-60 seconds of full re-processing.
The Bottom Line
CVC pays for itself on day one. The cost savings from prompt caching alone justify the 60-second installation. Everything else — branching, time travel, semantic search — is free bonus.