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openrag-dev-stack

Start, monitor, restart, or stop the local OpenRAG dev stack (Docker infra + host backend + host frontend). Use when the user says "start the dev stack", "run the app locally", "restart the backend/frontend", "factory-reset", "is the stack up?", or asks to bring services up/down for local development.

Quellinformationen

Repository
langflow-ai/openrag
Letzte Quellaktivität
28. Juli 2026 um 17:47
Erkannte Sprache von SKILL.md
Englisch
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4.674
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518

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
openrag_dev_stack
description
Start, monitor, restart, or stop the local OpenRAG dev stack (Docker infra + host backend + host frontend). Use when the user says "start the dev stack", "run the app locally", "restart the backend/frontend", "factory-reset", "is the stack up?", or asks to bring services up/down for local development.
# OpenRAG local dev stack The local dev setup has three parts that normally run in three terminals. As an agent, run them from one session: part 1 is a detached Docker command, parts 2 and 3 are long-running processes you must launch **in the background** (however your runtime runs a command without blocking) and monitor. Run everything from the repo root. ## 1. Infrastructure (OpenSearch, Langflow, Dashboards) ```bash make dev-local-cpu ``` - Builds langflow/opensearch images if needed, then starts containers detached — the command itself exits when containers are up. Run it in the foreground (first run can take several minutes if images need building; use a generous timeout). - Endpoints: Langflow http://localhost:7860, OpenSearch http://localhost:9200, Dashboards http://localhost:5601. - Verify with `docker compose ps` — expect `opensearch`, `dashboards`, and `langflow` containers running/healthy. Wait for OpenSearch to be healthy before starting the backend. ## 2. Backend (host process) ```bash make backend ``` - Long-running (uvicorn via `uv run python src/main.py`) — launch in the background with its output captured somewhere you can read back. If your runtime already captures background output, don't also tee to a log file. - Requires `.env` in the repo root (the target errors clearly if missing; fix by copying `.env.example`). - Serves on http://localhost:8000 (`OPENRAG_BACKEND_PORT`). Ready when uvicorn logs "Application startup complete". ## 3. Frontend (host process) ```bash make frontend ``` - Long-running (Next.js dev server) — launch in the background with its output captured, same as the backend. - Installs `frontend/node_modules` automatically on first run. - Serves on http://localhost:3000 (`FRONTEND_PORT`). Ready when Next prints the local URL / "Ready". ## Restarting - **Backend only** (the most common case): kill the backend background process, then relaunch `make backend` in the background as in section 2. Same pattern for the frontend. - **Containers only**: `make stop` then `make dev-local-cpu`. - **Factory reset** (fix a wedged stack by wiping all state): destructive — removes volumes, `langflow-data/`, `config/`, `data/`, and JWT keys. Get explicit user confirmation before running it. The plain target prompts interactively for "yes", which an agent can't answer, so run: ```bash make factory-reset FORCE=true ``` Then bring the stack back up: `make dev-local-cpu`, and relaunch backend and frontend. ## Monitoring - Watch the backend and frontend processes' output for errors; report crashes to the user rather than silently restarting on a loop. - Container logs: `make logs-os`, `make logs-lf`, or `docker compose logs -f <service>`. - If the user wants to watch backend/frontend logs themselves, point them at wherever your runtime exposes background process output, or give them a `tail -f` command for the process's log/output file. - Status check: `docker compose ps` for containers; `curl -s http://localhost:8000/health` for the backend and `curl -s -o /dev/null -w '%{http_code}' http://localhost:3000` for the frontend. ## Stopping - Backend/frontend: kill their background processes. - Containers: `make stop` (stops and removes all OpenRAG containers). `make clean` also removes volumes — destructive, only on explicit request.
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