First deploy done 2026-04-18. E2E extraction of the bank_statement_header
use case completes in 35 s against the live service, with 7 of 9 header
fields provenance-verified + text-agreement-green. closing_balance
asserts from spec §12 all pass.
Updates:
- README.md: status -> "MVP deployed"; worked example curl snippet;
pointers to deployment runbook + spec + plan.
- AGENTS.md: status line updated with the live URL + date.
- pyproject.toml: version comment referencing the first deploy.
- docs/deployment.md: "First deploy" section filled in with times,
field-level extraction result, plus a log of every small Docker/ops
follow-up PR that had to land to make the first deploy healthy.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Our client code imports surya.foundation (added in 0.17). The earlier
cu124 torch pin forced uv to downgrade surya to 0.14.1, which doesn't
have that module and depends on a transformers version that lacks
QuantizedCacheConfig. Net: ocr: fail at /healthz.
Drop the cu124 index pin. surya 0.17.1 needs torch >= 2.7, which the
default pypi torch (2.11) satisfies. The deploy host's CUDA 12.4
driver doesn't match torch 2.11's cu13 wheels, so CUDA init warns and
the GPU isn't available — torch + Surya transparently fall back to CPU.
Slower than GPU but correct for MVP. A host driver upgrade later will
unlock GPU with no code changes.
Unit suite stays green.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The default pypi torch (2.11 as of lockfile) ships cu13 wheels, which
refuse to initialise against the deploy host's NVIDIA 12.4 driver
(UserWarning: "driver on your system is too old (found version 12040)").
/healthz reported ocr: fail because Surya couldn't pick up the GPU.
Use `tool.uv.sources` to route torch through PyTorch's cu124 index.
That pulls torch 2.6.0+cu124 (still satisfies surya-ocr >= 0.9). Lock
updated. transformers downgraded to 4.57.6, triton to 3.2.0 — all
compatible with surya and each other.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- pyproject.toml: runtime deps (FastAPI, SQLAlchemy async, Pydantic, PyMuPDF,
python-magic, Pillow, dateutil), dev group (pytest, pytest-asyncio,
pytest-httpx, ruff, mypy), optional `ocr` extra that pulls surya-ocr + torch
(kept optional so CI without GPU can run the base package).
- pytest config: asyncio_mode=auto; `live` marker for tests that need a real
Ollama/Surya (gated on IX_TEST_OLLAMA=1).
- Single smoke test (tests/unit/test_scaffolding.py) verifies the package
imports and exposes __version__ — keeps CI green until the real test
modules land in later chunks.
- .forgejo/workflows/ci.yml: runs ruff + pytest against a Postgres 16 service
container. Explicit IX_TEST_MODE=fake keeps real-client tests out.
- .env.example: every IX_* var from spec §9 with on-prem-friendly defaults.
- uv.lock committed for reproducible builds.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
