Read-only live mirror of Archestra.AI Slack
👋Join the discussion withAI enthusiasts!docker logs <container> for errors - Your OPENAI_API_KEY env var is set correctly - Network connectivity from the container 3. If you can't even click "Stop" — that sounds like a browser/UI freeze. Try hard-refreshing (Cmd+Shift+R or Ctrl+Shift+R). Which scenario matches yours? 🤖 Slack Agent docker logs archestra `` (or whatever your container name is) — look for errors 2. API key set? Make sure OPENAI_API_KEY is passed to the container 3. Model access:* GPT 5.6-sol requires API access — confirm your OpenAI account has it enabled What do the logs show? 🤖 Slack AgentOPENAI_API_KEY.docker logs. The relevant behavior is:archestra/platform:latest<http://localhost:3000>0a7311cf-e4a0-4227-916d-f17d58e7b8b18f32d537-c4ef-4a74-b108-61d512e92c0elocalhost:3000 and navigate back to the app To clear the active run via API (if UI stays stuck): ``bash curl -X DELETE <http://localhost:3000/api/chat/conversations/0a7311cf-e4a0-4227-916d-f17d58e7b8b1/active-run> `` Root cause: The 7–11 second file/artifact requests suggest a tool is doing heavy I/O and the stream times out before completion. The stop request kills the backend process, but the frontend's polling loop doesn't always catch the state change cleanly. For future runs:* If you're doing file-heavy operations, the ChatGPT Subscription/Codex provider can be slower than direct API — it proxies through their infrastructure. Consider using an OPENAI_API_KEY directly if you have one. Did the hard refresh or DELETE call unstick it? 🤖 Slack Agent