233 lines
9.0 KiB
Markdown
233 lines
9.0 KiB
Markdown
# AGENTS.md — GuardDog Nexus
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## Project overview
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GuardDog Nexus integrates [GuardDog](https://github.com/DataDog/guarddog) with [Sonatype Nexus Repository Manager](https://www.sonatype.com/products/nexus-repository). It receives webhooks from Nexus, downloads packages from proxied repositories, scans them with GuardDog CLI, and stores results in SQLite. A web dashboard built with FastAPI + Jinja2 + htmx displays findings with optional LLM-based analysis.
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**Stack:** Python 3.12, FastAPI, SQLAlchemy (async), aiosqlite, Jinja2, htmx, Docker Compose.
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**Package ecosystems:** PyPI, Go (proxy.golang.org), npm (registry.npmjs.org).
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**GuardDog binary:** installed inside the Docker image via `uv pip install --system guarddog`. Supports `pypi`, `go`, `npm` subcommands.
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---
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## Quick start
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```bash
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cp .env.example .env
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# edit .env to set NEXUS_PASSWORD, optionally LLM vars
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make docker-up
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# → guarddog-nexus :8080, Nexus :8081
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```
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For local development without Docker:
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```bash
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make install dev
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export $(cat .env | xargs)
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python -m guarddog_nexus.main
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make test # 85 tests
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make lint # ruff
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make format # ruff format + fix
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```
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---
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## Architecture
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```
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guarddog_nexus/
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├── core/ # Business logic
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│ ├── scanner.py # subprocess guarddog CLI
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│ ├── harvester.py # download → sha256 → scan → store
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│ ├── nexus.py # httpx client + pypi/go/npm path extractors
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│ └── llm.py # OpenAI-compatible analysis client
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├── db/ # Persistence
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│ ├── engine.py # async SQLAlchemy + auto-migration
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│ ├── models.py # Scan, Finding ORM
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│ └── queries.py # shared query builders
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├── routes/ # HTTP layer
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│ ├── webhooks.py # POST /webhooks/nexus
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│ ├── api_scans.py # REST /api/v1/scans
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│ ├── api_packages.py
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│ ├── api_findings.py
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│ ├── metrics.py # GET /metrics (Prometheus)
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│ └── web.py # HTML UI (Jinja2 + htmx)
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├── web/ # Static assets
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│ ├── templates/ # Jinja2 templates
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│ └── static/ # CSS, JS
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├── config.py # env-var configuration dataclass
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├── constants.py # all magic strings/limits
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├── i18n.py # RU/EN translation dictionaries
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├── logging_setup.py # JSON logging + syslog
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└── main.py # FastAPI app, middleware, lifepan
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```
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**Data flow:**
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1. Nexus sends `UPDATED` webhook → `POST /webhooks/nexus`
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2. `webhooks.py` validates signature, extracts asset info, spawns background task
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3. `harvester.py` downloads file (async via `asyncio.to_thread`), computes SHA256, deduplicates
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4. `scanner.py` runs `guarddog <ecosystem> scan <file> --output-format json`
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5. Findings stored in SQLite (`scans` + `findings` tables)
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6. If `LLM_ENABLED=1` and `LLM_AUTO_ANALYZE=1`, `llm.py` sends each finding to the configured model. `finding.report` state machine: `None` → `{"status": "analyzing"}` → `{verdict, summary, analysis, severity_rating}` or `None` on failure.
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---
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## Key conventions
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- **Python ≥ 3.10** — type hints with `| None` syntax, no `Optional`
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- **Imports:** absolute from `guarddog_nexus.<module>`; relative (`..`) within subpackages
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- **Line length:** 100 (ruff)
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- **Lint:** `ruff check guarddog_nexus tests` (E/F/I/W rules)
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- **Format:** `ruff format guarddog_nexus tests`
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- **Tests:** `pytest -v` (85 tests, pytest-asyncio auto mode)
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- **Commits:** Russian descriptions, prefix convention: `feat:`, `fix:`, `refactor:`, `docs:`, `ui:`
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- **No comments** in code unless explicitly requested
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- **Async I/O:** file reads/writes wrapped in `asyncio.to_thread()` — never raw `open()` in async context
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---
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## Configuration
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All via environment variables, defined in `config.py`. Key ones:
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| Variable | Default | Notes |
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|----------|---------|-------|
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| `NEXUS_URL` | `http://localhost:8081` | |
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| `NEXUS_PASSWORD` | — | Required |
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| `WEBHOOK_SECRET` | `""` | HMAC-SHA256 validation |
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| `MAX_CONCURRENT_SCANS` | `4` | asyncio.Semaphore for guarddog processes |
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| `LLM_ENABLED` | `0` | `1` to enable analysis |
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| `LLM_AUTO_ANALYZE` | `0` | `1` to auto-trigger after scan; `0` = manual via UI button |
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| `LLM_API_KEY` | `""` | OpenAI-compatible key |
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| `LLM_MODEL` | `gpt-4o-mini` | |
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| `LLM_MAX_CONCURRENT_ANALYSES` | `2` | Semaphore for LLM calls |
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| `DATABASE_PATH` | `data/guarddog.db` | |
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Full list in `config.py`.
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---
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## Database
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- **SQLite** via `aiosqlite` async driver
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- Tables: `scans`, `findings`
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- Auto-migration in `db/engine.py` — `_migrate()` adds missing columns on startup
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- Indexes created in `_ensure_indexes()`: `scans.status`, `scans.sha256`, `scans.package_name`, `scans.package_version`, `scans.flagged`, `scans.nexus_asset_url`, `findings.scan_id`
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- `Scan` fields: id, package_name, package_version, ecosystem, repository, nexus_asset_url, sha256, status, total_findings, flagged, started_at, finished_at, error_message, initiator, source_ip
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- `Finding` fields: id, scan_id, data (JSON), report (JSON, nullable), created_at
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---
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## LLM analysis
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`finding.report` drives UI state:
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| Value | UI |
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|-------|----|
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| `None` | Show "Analyze with LLM" button (manual mode only) |
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| `{"status": "analyzing"}` | Show spinner |
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| `{verdict:, summary:, ...}` | Show report + "Retry" link |
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**Auto mode** (`LLM_AUTO_ANALYZE=1`): analysis runs immediately after scan; button hidden.
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**Manual mode** (`LLM_AUTO_ANALYZE=0`): user clicks button; button visible for each finding.
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Per-finding `asyncio.Lock` in `web.py` prevents concurrent analysis of the same finding. Retry passes `?retry=1` to bypass the idempotency guard.
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---
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## Webhooks
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Only `UPDATED` action is accepted (not `CREATED`). Format field in asset data determines ecosystem: `pypi`, `go`, `npm`.
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Per-URL locking (asyncio.Lock) prevents parallel scans of the same asset. SHA256 dedup prevents re-scanning identical file content.
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---
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## Templates (htmx)
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- Fragment templates prefixed with `_` are returned for `HX-Request` requests
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- Filter-bar lives outside htmx target — never replaced
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- Sortable columns use `hx-get` with all filter params in URL
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- Language persists via cookie `lang`, set by middleware
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- Shared includes: `_status_badge.html` (scan status), `_pagination.html` (page nav), `_llm_spinner.html` (LLM progress)
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---
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## Docker
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```
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docker compose up -d --build # build + start
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docker compose down # stop
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docker compose down -v # stop + destroy volumes (make docker-destroy)
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docker compose logs -f # tail logs
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```
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The Dockerfile parses `pyproject.toml` for dependency list (single source of truth). GuardDog is installed as a separate `uv pip install` step.
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---
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## Testing
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- `make test` runs `pytest -v`
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- Tests use in-memory SQLite (`:memory:`)
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- `conftest.py` sets up `os.environ` before importing the app
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- Mock `guarddog` output via fixtures — no real CLI execution
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- 85 tests covering: API, webhooks, harvester, scanner, web UI
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When adding features:
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- Always `python3 -m pytest -v` before committing
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- Always `ruff check guarddog_nexus tests`
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- Add tests for new extractors, endpoints, edge cases
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---
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## Common tasks
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**Add a new ecosystem:**
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1. Add extractor in `core/nexus.py` → `EXTRACTORS` dict
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2. Add format handler in `routes/webhooks.py` → `_detect_ecosystem()`
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3. Create proxy repo in `scripts/setup-nexus.sh`
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4. Add test fixture in `tests/conftest.py`
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5. Add tests in `tests/test_nexus.py`
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**Add a new env var:**
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1. `config.py` → field in Config dataclass
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2. `.env.example` → add with default
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3. `docker-compose.yml` → add to environment if needed in Docker
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4. `README.md` → add to env table
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**Add a UI string (i18n):**
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1. `i18n.py` → add to `_STRINGS` dict
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2. Template → `{{ t('key', request.state.lang) }}`
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**Run a manual webhook test:**
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```bash
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curl -X POST http://localhost:8080/webhooks/nexus \
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-H "Content-Type: application/json" \
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-d '{"action":"UPDATED","repositoryName":"pypi-proxy",
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"asset":{"format":"pypi","name":"/packages/pkg/ver/pkg-ver.tar.gz",
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"downloadUrl":"http://nexus:8081/repository/pypi-proxy/packages/pkg/ver/pkg-ver.tar.gz"}}'
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```
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---
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## Notes
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- **AI-generated code:** all code in this repository was generated by an AI assistant (Claude). Review carefully before production use.
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- **No Nexus Pro required:** the system works with Nexus OSS. Webhooks can be triggered manually or via community plugins.
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- **GuardDog deadlocks:** GuardDog is CPU-intensive. Use `MAX_CONCURRENT_SCANS` to avoid resource exhaustion.
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- **LLM may be slow:** increase `LLM_TIMEOUT_SECONDS` for large models. Set `LLM_MAX_CONCURRENT_ANALYSES` to limit parallel requests.
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---
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## Workflow
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**After every change** — follow these steps in order:
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1. **Document** — update `AGENTS.md` if the change introduces a new concept, env var, endpoint, or workflow.
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2. **Lint** — `ruff check guarddog_nexus && ruff format guarddog_nexus`
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3. **Test** — `python3 -m pytest -v` (must pass 100%)
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4. **Commit** — use the existing commit prefix convention (`feat:`, `fix:`, `refactor:`, `docs:`, `ui:`).
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5. **Rebuild** — `docker compose up -d --build` to deploy changes.
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