feat: support enterprise agent flows with real components#11
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Infrastructure changes to support long-running LangFlow flows (5-30 min) with real redhat_agents components through the platform: - Add custom LangFlow image support in dev-langflow.sh (editable install, platform component mounts, gcloud credential mounts, Granite Guardian and Google Cloud env vars) - Forward host DNS servers to container for VPN-resolved hostnames - Increase chat timeouts for long-running flows (httpx read=1800s, OAuth proxy upstream=1800s) - Catch InvalidToken in token refresh to prevent 500 on encryption key mismatch - Decouple token injection from flow names: platform now injects all available OAuth tokens and lets flows take what they need, removing the hardcoded flow-to-services mapping
Custom LangFlow images now use the same PostgreSQL database and DATA_DIR conventions as stock images. Data mounted at /data/langflow instead of /app/langflow to avoid conflicting with the editable install. This ensures langflow-import can register MCP servers for both image types.
Custom agents-python image doesn't include psycopg (built for SQLite). Override entrypoint to install psycopg[binary] before starting LangFlow so custom images can use the shared PostgreSQL database.
psycopg is now baked into the custom image (agents-python Dockerfile). No need for entrypoint override at container start.
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Closing — all changes from this branch were already merged into main via direct push. Main has additional improvements on top (extra test coverage, warning logs, updated docs). |
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Summary
dev-langflow.sh) for realredhat_agentscomponents with editable install, platform component mounts, gcloud credentials, and Granite Guardian env varsInvalidTokencrash in token refresh when encryption key changesTest plan
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