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Endpoint Configuration Issue in Phoenix Playground: Incomplete Response | Arize AI Community

Phoenix Support

Endpoint Configuration Issue in Phoenix Playground: Incomplete Response

·Jun 20, 2025 03:16 PM

RunLLM in the Phoenix playground, I have configured my endpoint. I can enter a message and send it. For a brief moment it shows me the response and then the output says: "peer closed connection without sending complete message body (incomplete chunked read)"

4 comments

· Sorted by Oldest

RunLLM
APP
·
This error indicates that the connection between the Phoenix Playground and your configured endpoint was interrupted before the full response was received, resulting in an incomplete message body. This is typically a network or server-side issue, not a misconfiguration of the Playground itself.If you are self-hosting, check your server and network stability, and ensure your endpoint is reachable and not timing out or crashing. If using Phoenix Cloud, intermittent network issues or provider-side overloads can also cause this (see similar overload/connection issues, network errors). Would you like more detail on troubleshooting steps or logs to check?Sources: - overload/connection issues - network errors
💡 Hint: Mention RunLLM in the thread for followups.
Brandon B.
·
RunLLM I can call the endpoint just fine with Python. And playground seems to work until the endpoint stops responding.
RunLLM
APP
·
If your endpoint works with Python but fails in the Phoenix Playground after some time, it suggests the Playground's streaming or connection handling may be exposing issues not seen in your direct Python calls—such as timeouts, chunked transfer interruptions, or server resource limits. This can happen if the Playground expects a continuous stream or larger payloads, which may cause the endpoint to close the connection prematurely or hit a timeout (see similar issues, timeout errors).Try increasing server timeouts, checking for resource exhaustion, and reviewing server logs for errors when the Playground disconnects. Would you like more detail on how to debug or configure timeouts?Sources: - overload/connection issues - timeout errors
💡 Hint: Mention RunLLM in the thread for followups.
Brandon B.
·
I created a bug report that hopefully is a lot easier to follow https://github.com/Arize-ai/phoenix/issues/8177 🙂
:thankyou:1