Initial scaffold: local invoice OCR pipeline with Ollama, classifier branches, structured extraction, review, and Odoo XML export

- Add AGENTS.md and project-specific Zed skills (odoo-ocr-pipeline, odoo-xml-import, local-vlm-client).
- Implement Pydantic schemas for documents, invoices, review results, and VLM responses.
- Add unified BaseVLMClient with Ollama implementation and llama.cpp stub.
- Build pipeline stages: loader, classifier, digital_pdf/scanned_print/handwritten/mixed_unknown branches, extractor, reviewer, xml_builder.
- Add CLI entry point  with sidecar JSON and confidence-gated XML output.
- Include prompts for classifier, OCR, extraction, and review models.
- Add tests with FakeVLMClient; pytest, ruff, and mypy all pass.

README.md

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+# odoo_ocr
+
+Local-first invoice OCR pipeline that reads scanned, printed, handwritten, and native-PDF invoices and produces Odoo Enterprise-ready XML.
+
+## Quick start
+
+1. Install dependencies:
+   ```bash
+   uv sync --all-extras
+   # or
+   pip install -e ".[dev]"
+   ```
+
+2. Configure `config.yaml` or set environment variables:
+   ```bash
+   export OLLAMA_BASE_URL="http://100.103.83.12:11435"
+   ```
+
+3. Run the pipeline:
+   ```bash
+   odoo-ocr process /path/to/invoices --output ./out/
+   ```
+
+## Architecture
+
+```
+Input File
+  → Classifier (heuristic + small VLM)
+    → Branch: digital_pdf      → text/layout extraction
+    → Branch: scanned_print    → preprocess → VLM OCR
+    → Branch: handwritten      → preprocess → GLM-OCR
+    → Branch: mixed_unknown    → preprocess → ensemble OCR
+      → Structured Extraction VLM
+      → Review VLM (image vs extracted JSON)
+        → Confidence check
+          → XML Builder
+            → Odoo XML + sidecar JSON
+```
+
+## Project-specific agent skills
+
+Agent skills are in `.agents/skills/`:
+
+- `odoo-ocr-pipeline` — classifier, branches, extraction, review.
+- `odoo-xml-import` — generating and validating Odoo XML.
+- `local-vlm-client` — Ollama/llama.cpp VLM clients and prompts.