3 people reported

All time, since Sep 16, including 1 thumbs-up on GitHub.

At-capacity and stream disconnects

“During normal prompts, the CLI often fails mid-response with: “stream disconnected before completion … An error occurred while processing your request.””

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Model at capacity errors and stream disconnects mid-response. In Codex CLI with ChatGPT login, responses fail with "stream disconnected before completion" and "Selected model is at capacity", sometimes on long-running tasks.

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Where
Codex CLI
Error text
Selected model is at capacity. Please try a different model.
Versions
0.162.1
Platforms
Linux, macOS
How bad
Breaks a normal workflow.

Part of: Model at capacity errors24 bugs

  1. Model at capacity errors127 people
  2. Model at capacity error34 people
  3. Model at capacity errors40 people
  4. Model at capacity errors31 people
  5. Model at capacity error14 people
  6. Model at capacity errors15 people
  7. Model at capacity errors9 people
  8. Model at capacity error10 people
  9. Tasks interrupted by repeated "Selected model is at capacity" errors and reconnects6 people
  10. Existing long conversations fail with model-at-capacity error4 people
Show all 23Show only the largest 10
  1. Model at capacity interruptions7 people
  2. Model at capacity error5 people
  3. Model at capacity errors3 people
  4. No retry on capacity error2 people
  5. Selected model at capacity4 people
  6. Model at capacity error3 people
  7. Model at capacity errors4 people
  8. Model at capacity errors2 people
  9. Sol model at capacity2 people
  10. Model at capacity error3 people
  11. Model at capacity error2 people
  12. Spurious model capacity error7 people
  13. Model at capacity errors7 people

Original reports2, newest first

  1. Codex CLI 0.162.1 on macOS: GPT-6.1 Sol xhigh returns at-capacity on text-only turn; long tasks also lose response stream (Oct 10–12)On GitHub#53407
  2. Codex CLI (ChatGPT login, Pro 20x): frequent ‘stream disconnected before completion’ + repeated ‘Selected model is at capacity’ (Request ID 68f16728-07bb-4a24-b7ca-500757169524)On GitHub#45949

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