Compress Context.Cut Cost. Improve performance.
🎯 Boost LLM pipelines with context compression
Reduce context to what matters. At 2 levels.
- Coarse-grained. Pass a query + a list of chunks -> get relevant ones.
- Fine-grained. Query + your context -> token-level compression.
🤖 Make your agents context-efficient
Use any agents with our gateway for cost/latency/accuracy benefits.
- Compress conversation history, tool outputs, lists of tools.
- Works with:
Claude Code,OpenClaw,Codex, and more!
| Baseline (GPT-5.2) | latte_v1 API + GPT-5.2 | |
|---|---|---|
| Compression | — | 10x |
| Average Context | ~106Ktokens | ~10.5Ktokens |
| Accuracy | 72.3% | 74.5% |
| Savings | — | 76%cheaper |
FinanceBench · 141 questions over 79 SEC filings · Full filings up to 230K tokens long
Ready to compress?
Start compressing today. Cut token costs and build smarter AI applications.
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