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
- 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. - Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
- 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
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- 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.