74b5d0dc8c
Add API proxy endpoint so users can access running tool instances
through the backend API instead of internal Docker network.
Backend:
- Add container_name field to ToolInstance model
- Create /instances/{id}/proxy/{path:path} endpoint with ownership checks
- Proxy HTTP requests to containers via docker network using container names
- Support all HTTP methods (GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS)
- Store proxy URL in instance.url instead of localhost
- Add Alembic migration 0007 for container_name column
- Add get_container_name() utility to docker.py
Frontend:
- Update Open button to use full proxy URL (API_BASE_URL + instance.url)
Closes instance-proxy OpenSpec change.
83 lines
3.0 KiB
Markdown
83 lines
3.0 KiB
Markdown
## Context
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Currently, tool instances run as Docker containers on the internal Docker network. The backend stores their URL as `http://localhost:{port}`, which is only accessible from inside the API container. Users clicking "Open" in the frontend get a 404 because their browser can't reach the internal container.
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The API and containers share a Docker network, so the API can reach containers by their container name or IP.
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## Goals / Non-Goals
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**Goals:**
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- Users can access running tool instances through the API via HTTPS
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- Proxy enforces ownership (only instance owner can access)
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- Support both HTTP and WebSocket traffic
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- Minimal latency overhead
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- Works with existing Docker setup
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**Non-Goals:**
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- Public URLs / custom domains for instances (that's Option 2/3)
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- Load balancing across multiple instances
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- Advanced path rewriting (just pass-through)
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## Decisions
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### Proxy via FastAPI route (not separate service)
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**Decision:** Implement proxying as a FastAPI endpoint using `httpx` for async forwarding.
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**Rationale:**
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- Keeps everything in one deployable unit
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- Easy access to existing auth dependencies (`get_current_user_id`)
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- Can reuse existing session cookie auth
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- No extra infrastructure needed
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**Alternative considered:** Separate nginx/traefik proxy service
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- Rejected: adds operational complexity for a single feature
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### Use container name for internal routing
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**Decision:** Store container name in ToolInstance model and route to `http://{container_name}:{port}`
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**Rationale:**
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- Container names are stable and DNS-resolvable within Docker network
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- More reliable than IPs which can change
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- Already using container names in docker.py
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### Path: `/instances/{id}/proxy/{path:path}`
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**Decision:** All proxied traffic goes through `/instances/{id}/proxy/*`
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**Rationale:**
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- Clear URL structure
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- Easy to apply auth middleware
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- `path:path` captures everything after `/proxy/`
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### WebSocket upgrade handling
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**Decision:** Support WebSocket upgrade by inspecting the `Upgrade: websocket` header and establishing a bidirectional pipe.
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**Rationale:**
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- code-server and jupyter use WebSockets for real-time features
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- FastAPI doesn't natively support proxying WebSockets, but we can use `starlette.websockets` to handle the upgrade
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## Risks / Trade-offs
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**[Risk]** API becomes bandwidth bottleneck for all instance traffic
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→ **Mitigation:** Document this limitation. Future migration to Option 2 (Traefik labels) possible.
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**[Risk]** Container name collision
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→ **Mitigation:** Instance names already include UUID suffix, collision probability is negligible.
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**[Risk]** Large file uploads/downloads through proxy
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→ **Mitigation:** Use streaming response in httpx. Monitor memory usage.
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## Migration Plan
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1. Deploy backend changes (proxy endpoint + model updates)
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2. Update frontend links to use proxy URL
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3. Test with code-server instance
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4. Monitor API performance
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## Open Questions
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- Should we add rate limiting to the proxy endpoint?
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- Do we need to rewrite response headers (Location, Set-Cookie)? |