Token distillation for AI agents
Same budget. More agent.
Your agents burn tokens they never needed.
Vachi distills every request.
Only pay when we save you money · Drop-in setup.
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Token distillation
Fewer tokens. Same work.
Vachi weighs what each token contributes, then rebuilds the payload.
Raw Request Size
With Prompt Caching
With Token Distillation
Prompt
Caching
Caching
Token
Distillation
Distillation
Model
Routing
Routing
Cachesstatic payloads
Distillshigh-value tokens
Routesto weaker models
No degradationin quality
No degradationin early testing
Quality dropswhen misrouted
Baselinelatency
Fastersmaller payload
Slowerrouter overhead
~50%savings over raw
~2×prompt caching
~1.25×prompt caching
Works with your stack.
Your existing model providers, on the tools you already run.
Clients & IDEs
Claude CodeCursorOpenClaw+ many more...
Model providers
OpenAIAnthropicGoogle Gemini
Simply add Vachi as a custom model
Integration guides →Get more agent per dollar.
Personal & business agents
Priced out of the models you need?
Deep-thinking models at mini prices.
Coding agents
Anxious about pay-as-you-go usage?
Reduce your token burn with Vachi.
Session replay
Same outcome. Very different bills.
Watch what a session actually costs.
claude-code · session
Token burn
Raw0K
Prompt caching0K
Vachi
0K
Dollar cost
Raw$0.00
Prompt caching$0.00
Vachi
$0.00
Turn 1 · Build a backend API0:00 / 0:12
Live in three steps.
Your data is never stored long-term, and we never train on it.
Still have questions?
We'd love to talk to you.