What this error means

SSE streaming hangs indefinitely (no timeout) — ESC partially works but queue auto-restart mechanism immediately starts next queued prompt without returning control is a Claude Code failure pattern reported for developers trying to fix claude code hanging during sse streaming where silent connection death causes indefinite wait; needs client-side timeout or heartbeat. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue #33949 on anthropics/claude-code (created 2026-03-13, 37 comments): Deep investigation reveals root cause — no client-side timeout or heartbeat detection for SSE connections. After 1,571 session JSONL files analyzed with 148,444 tool calls, two separate code bugs identified in cli.js. Related to legacy issue #26224 (28 comments) and #6836 (150+ reports). Critical for production/enterprise Claude Code usage. Maps to AI Coding Tools per approved mapping.

Common causes

  • GitHub Issue #33949 on anthropics/claude-code (created 2026-03-13, 37 comments): Deep investigation reveals root cause — no client-side timeout or heartbeat detection for SSE connections. After 1,571 session JSONL files analyzed with 148,444 tool calls, two separate code bugs identified in cli.js. Related to legacy issue #26224 (28 comments) and #6836 (150+ reports). Critical for production/enterprise Claude Code usage. Maps to AI Coding Tools per approved mapping.

Quick fixes

  1. Confirm the exact error signature matches SSE streaming hangs indefinitely (no timeout) — ESC partially works but queue auto-restart mechanism immediately starts next queued prompt without returning control.
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.