Context & Compression
If you arrived here from an older link, here’s what’s true now:
- Every Ishvana agent feature runs on local handlers with deterministic inputs and outputs. There’s no token budget to compress around because there’s no token billing.
- Long-running analyses (manuscript scans, full-project consistency checks, Lore ML training) handle scale through streaming progress chunks, not through context pruning. See Etherforce overview → Streaming results.
- Per-content-hash caching means re-running the same analysis on unchanged content is free, regardless of size. See Etherforce overview → Handler-result cache.
Etherforce overview The dispatch layer that replaced the old external routing layer.
Engine overview How the Divinity Engine fits with the rest of the backend.
This page stays here as a redirect. The conceptual content from the original Context & Compression page has been retired because the system it described is no longer in the product.