woogi/Conflict_Checker
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Add scoped Agent-mode pipeline as experimental Classic fork.

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Wire specialist waves, Brain consolidation, and Classic-compatible reports so Agent mode can run end-to-end via OpenRouter without changing the default Classic path.

Co-authored-by: Cursor <cursoragent@cursor.com>
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woogi
2026-07-18 14:31:13 +00:00
co-authored by Cursor
parent e30522af9a
commit 82a48d99cf
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@@ -147,6 +147,30 @@ python cli/run_check.py samples/your_set.pdf --out out/your_set
# -> out/your_set/report.md + conflicts.json
```
The Classic pipeline remains the recommended default. The experimental Agent
fork runs in the same image and can be selected in the web UI or from the CLI:
```bash
python cli/run_check.py samples/your_set.pdf --mode agent --out out/agent-run
```
Agent mode uses OpenRouter for every model call and runs bounded specialist
waves: one-sheet extraction, sheet-index/jurisdiction orientation, semantic
linkers partitioned by level and object family, per-cluster conflict critics,
batched code review, cluster-scoped constructability, summary-only completeness,
central Brain consolidation, and one-finding RFI writers. It returns the same
`conflicts`, `validated_issues`, `rfis`, and `summary` fields as Classic.
Agent artifacts are also written under `<output>/agent/`, including wave
snapshots and the final Project Memory. `summary.agent_stats`,
`summary.cost_by_stage`, and `summary.models_used` are job-local, so concurrent
Agent jobs do not share accounting.
Optional `AGENT_*_MODEL` variables select an OpenRouter model per specialist.
The `AGENT_*_CONCURRENCY` and scope-cap variables in `backend/.env.example`
bound fan-out and prompt size. Agent mode intentionally ignores the hybrid/local
text option in v1.
Web UI (upload + view):
```bash
@@ -155,6 +179,11 @@ uvicorn backend.main:app --reload --port 8099 # open http://127.0.0.1:8099
Or use Docker: `docker compose up -d` (see **Setup** above).
The standard Docker image contains both pipelines; no additional queue,
database, or model service is required. Set `AI_API_KEY` in `backend/.env` and
choose Agent mode per request. Treat Agent output as experimental and compare it
against a reviewed golden set before using it for issuance decisions.
## Conflict categories
`dimensional_disagreement`, `elevation_disagreement`, `location_mismatch`,