Identify true repetition
Measure which prefix appears across requests and how often. A large document used once does not benefit from repeated-cache economics. A stable policy or tool set used hundreds of times may be a better candidate.
Protect cache stability
Place variable user input after the reusable prefix and avoid changing earlier content unnecessarily. Version stable instructions deliberately so cache misses correspond to real changes, not random formatting.
Local token estimate
This is an approximate comparison, not provider billing data.
Avoid caching waste
Varion keeps its proprietary engine implementation private. Commercial evaluation is based on measurable workload-specific outcomes, clear validation boundaries and customer-specific testing rather than disclosure of internal mechanisms. Use the dedicated Token Optimisation product area to evaluate whether the commercial result is suitable for your traffic; no universal performance percentage is promised.
Measurement checklist
- Choose a representative completed task, not an artificial one-line prompt.
- Record the selected model, provider input, cached input, output, retries and final result.
- Change one optimization mechanism at a time so the cause remains visible.
- Verify required identifiers, tool calls, code changes or business fields.
- Keep passthrough available when the reduced request does not pass.
Varion commercial evaluation
Varion keeps proprietary product implementation details private. Evaluate Token Optimisation on representative traffic and judge it by the measured commercial result. New verified users receive 100,000 processed input tokens and 50 local test runs.
Frequently asked questions
Does Claude cache an entire conversation?
Caching depends on the request structure and current provider capabilities. Follow Anthropic’s official implementation guide.
Is caching always cheaper?
No. It depends on write cost, reuse frequency, retention and the selected model.