What this error means
web_search/web_fetch return 200 OK with empty body when Cloud usage is exhausted is a Ollama failure pattern reported for developers trying to fix ollama cloud api returning empty response on quota exhaustion instead of proper error. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
HTTP/2 200 with content-length: 0 returned when cloud usage exhausted. Both local proxy and direct cloud API affected. Client JSON parse errors follow.
Common causes
- When Ollama Cloud weekly usage is exhausted, web_search/web_fetch APIs return HTTP 200 with empty body. Clients expecting JSON fail with 'Unexpected end of JSON input'. Should return 429 or 402 with error body.
- HTTP/2 200 with content-length: 0 returned when cloud usage exhausted. Both local proxy and direct cloud API affected. Client JSON parse errors follow.
Quick fixes
- Confirm the exact error signature matches
web_search/web_fetch return 200 OK with empty body when Cloud usage is exhausted. - Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
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.