What this error means
We encountered an issue when using your API key: Streaming error is a Cursor failure pattern reported for developers trying to fix api key rejected by cursor ide despite being valid elsewhere (works in other apps); need resolution for paid cursor subscription users.. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Verified via GitHub search results (kio-gateway issue #53, 2026-01-23) confirming Cursor IDE rejects valid API keys with 'Streaming error'. Also supported by openai/codex #4092 showing similar auth issues with valid keys. Distinct from 'OpenAI API key not working' in covered-errors.md which refers to invalid keys. Category: Cursor (approved). Strong signal for paid Cursor users who have verified keys.
Common causes
- Verified via GitHub search results (kio-gateway issue #53, 2026-01-23) confirming Cursor IDE rejects valid API keys with 'Streaming error'. Also supported by openai/codex #4092 showing similar auth issues with valid keys. Distinct from 'OpenAI API key not working' in covered-errors.md which refers to invalid keys. Category: Cursor (approved). Strong signal for paid Cursor users who have verified keys.
Quick fixes
- Confirm the exact error signature matches
We encountered an issue when using your API key: Streaming error. - Check the Cursor 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.