llm-ingestion-okf

Shared ingestion library for OKF (Open Knowledge Format) bundles.

Status: phase 1 (spec-based ingestion) is implemented — manifest validation, the file/sql/http connectors, deterministic materialization, index generation, and the golden fixture suite under examples/. Phases 2–4 are planned (see docs/plan/).

Planned scope (v1)

The library provides three entry points for getting content into an OKF bundle:

1. Spec-based ingestion. An implementation of the normative ingest specification owned by portfolio-optimiser-commons: manifest → file/sql/http connector → deterministic materialization of ingest-{id}.md concept files → index generation. Zero model calls in the run path; output is reproducible byte-for-byte against golden fixtures.
2. Bundle inbox. A drop directory where common file types are converted to OKF concept files. All file-type→text extraction lives in this library: md, txt, csv, json, and html are handled by the stdlib core; pdf, docx, and xlsx require the optional [extract] extra and are rejected fail-fast without it. Extracted text passes the security gate before anything is persisted.
3. External bundle import. Import and merge of third-party OKF bundles: each concept is assessed via the security gate, and only concepts that pass are merged, materialized, and linked into the index.

Boundary: security is delegated

Security is owned by the sibling package llm-ingestion-guard (pinned >=0.2,<0.3). The division is strict:

• guard answers "is this content safe to persist?" — scan, sanitize, quarantine, fail-secure, provenance stamping.
• this library does the plumbing — connect a source, materialize a deterministic OKF bundle, generate the index — and calls the guard at every persist gate (prepare_input/screen_output for extracted text, okf.import_bundle for received bundles).

No security functionality is reimplemented here.

Roadmap

The library is built in four phases so that every known OKF surface in the ecosystem is eventually covered. Each phase has a detailed plan with verification criteria:

1. Spec-based ingestion (Python) with byte-exact golden fixtures — plan.
2. Bundle inbox and external-bundle import (Python), guard-gated — plan.
3. Configurable bundle contract (types, layers, frontmatter sets, and reserved-file policy as configuration), enabling stricter bundle profiles such as strict-v1 — plan.
4. A node/ half: a zero-dependency Node/ESM package (importable and CLI-invokable, vendored per consumer) providing bundle checking, index generation, inbox processing, and document conversion for the OKF second-brain plugin ecosystem. The Python and Node halves share the OKF contract and fixture suite, not code — plan.

Non-goals

• Verdict/feedback machinery from the method specification (stays in the consuming repositories).
• Embedding- or retrieval-layer functionality.
• Security functionality, in either runtime — that is always llm-ingestion-guard's domain.

Requirements

Python 3.10+. The core has zero runtime dependencies. The planned Node half targets Node/ESM with zero npm dependencies.

License

MIT — see LICENSE.