VectorJSON – O(n) streaming parser to handle LLM JSON outputs
Replaces O(n²) token re-parsing with true O(n) streaming; Vercel SDK does 4K re-parses on 50KB payloads.

Post-hoc attention analysis beats standard RAG reranking for disambiguating identical facts.
Developers building RAG or legal/financial AI tools
Anthropic Citations API · Gretel.ai
Replaces O(n²) token re-parsing with true O(n) streaming; Vercel SDK does 4K re-parses on 50KB payloads.
Dependency-graph filtering cuts output tokens 63%, not just input—Claude stops narrating when focused.
83% token reduction vs raw X GraphQL—real savings for agent context windows.
Skips heavy judge loops by using logprobs to gate agent actions at runtime.
It actually attacks a concrete, expensive nuisance: repeated token bloat from tool schemas and file blobs. The line-range edit expansion is a neat trick — let the model reference lines instead of pasting content — and the README ships per-model benchmarks (up to ~45% savings) plus one-line installation so you can try it without changing your workflow. Expect real wins in edit-heavy sessions, though results will vary with project size and tooling.
Yet another hallucination checker when Guardrails and LMQL already cover this.