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Async on-prem LLM-powered structured information extraction microservice
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feat(pipeline): SetupStep — validate + fetch + MIME + pages (spec §6.1) 
First pipeline step. Validates the request (IX_000_002 on empty context),
normalises every Context.files entry to a FileRef, downloads them in
parallel via asyncio.gather, byte-sniffs MIMEs (IX_000_005 for
unsupported), loads the use-case pair from REGISTRY (IX_001_001 on
miss), and builds the flat pages + page_metadata list on
response_ix.context.

Fetcher / ingestor / MIME detector / tmp_dir / fetch_config all inject
via the constructor so unit tests stay hermetic — production wires the
real ix.ingestion defaults via the app factory.

7 unit tests in tests/unit/test_setup_step.py cover validate errors,
happy path (fetcher + ingestor invoked correctly, context populated,
use_case_name echoed), FileRef headers pass through, unsupported MIME
-> IX_000_005, unknown use case -> IX_001_001, text-only request, and
the _InternalContext type assertion.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-18 11:14:04 +02:00
.forgejo/workflows ci: run on every push (not just main) so feat branches also get CI 2026-04-18 10:40:44 +02:00
docs Implementation plan for ix MVP 2026-04-18 10:34:30 +02:00
src/ix feat(pipeline): SetupStep — validate + fetch + MIME + pages (spec §6.1) 2026-04-18 11:14:04 +02:00
tests feat(pipeline): SetupStep — validate + fetch + MIME + pages (spec §6.1) 2026-04-18 11:14:04 +02:00
.env.example feat(scaffold): project skeleton with uv + pytest + forgejo CI 2026-04-18 10:36:43 +02:00
.gitignore feat(scaffold): project skeleton with uv + pytest + forgejo CI 2026-04-18 10:36:43 +02:00
.python-version feat(scaffold): project skeleton with uv + pytest + forgejo CI 2026-04-18 10:36:43 +02:00
AGENTS.md Initial design: on-prem LLM extraction microservice MVP 2026-04-18 10:23:17 +02:00
pyproject.toml feat(scaffold): project skeleton with uv + pytest + forgejo CI 2026-04-18 10:36:43 +02:00
README.md Initial design: on-prem LLM extraction microservice MVP 2026-04-18 10:23:17 +02:00
uv.lock feat(scaffold): project skeleton with uv + pytest + forgejo CI 2026-04-18 10:36:43 +02:00

README.md

InfoXtractor (ix)

Async, on-prem, LLM-powered structured information extraction microservice.

Given a document (PDF, image, text) and a named use case, ix returns a structured JSON result whose shape matches the use-case schema — together with per-field provenance (OCR segment IDs, bounding boxes, cross-OCR agreement flags) that let the caller decide how much to trust each extracted value.

Status: design phase. Implementation about to start.

Principles

  • On-prem always. LLM = Ollama, OCR = local engines (Surya first). No OpenAI / Anthropic / Azure / AWS / cloud.
  • Grounded extraction, not DB truth. ix returns best-effort fields + provenance; the caller decides what to trust.
  • Transport-agnostic pipeline core. REST + Postgres-queue adapters in parallel on one job store.