# Fabra — LLM context
#
# Fabra is Python-first infrastructure for inference-time evidence.
# It produces durable Context Records (CRS-001) you can replay, diff, and verify during incidents.
#
# Canonical docs: https://davidahmann.github.io/fabra/

## High-signal pages (human)
- Quickstart: https://davidahmann.github.io/fabra/docs/quickstart/
- How it works: https://davidahmann.github.io/fabra/docs/how-it-works/
- Context Record spec (CRS-001): https://davidahmann.github.io/fabra/docs/context-record-spec/
- Integrity & verification: https://davidahmann.github.io/fabra/docs/integrity-and-verification/
- Exporters & adapters: https://davidahmann.github.io/fabra/docs/exporters-and-adapters/
- Comparisons: https://davidahmann.github.io/fabra/docs/comparisons/

## Context packs (machine-friendly, stable)
- Product: https://davidahmann.github.io/fabra/llm/product.md
- Quickstart (concise): https://davidahmann.github.io/fabra/llm/quickstart.md
- HTTP API: https://davidahmann.github.io/fabra/llm/http-api.md
- CLI: https://davidahmann.github.io/fabra/llm/cli.md
- Storage modes: https://davidahmann.github.io/fabra/llm/storage.md
- Security & privacy: https://davidahmann.github.io/fabra/llm/security-privacy.md
- Comparisons: https://davidahmann.github.io/fabra/llm/comparisons.md