What this error means
ReadTimeout: ollama-cloud stream drop after ~120-145s on long responses is a Ollama failure pattern reported for developers trying to fix ollama cloud streaming read timeout after ~2 minutes on long generation tasks with large context. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Ollama Cloud proxy drops streaming connections after 120-145s during long generation with large context. No ping/keepalive during tool composition. Log shows: 'ollama-cloud stream drop (ReadTimeout) after 144.6s — reconnecting, retry 2/3'. Reported 2026-05-12.
Common causes
- Developers using Ollama Cloud for long-form code generation hit streaming timeouts mid-task. Without ping/keepalive support, connections drop during tool composition or extended generation, causing lost work and failed retries.
- Ollama Cloud proxy drops streaming connections after 120-145s during long generation with large context. No ping/keepalive during tool composition. Log shows: 'ollama-cloud stream drop (ReadTimeout) after 144.6s — reconnecting, retry 2/3'. Reported 2026-05-12.
Quick fixes
- Confirm the exact error signature matches
ReadTimeout: ollama-cloud stream drop after ~120-145s on long responses. - Check the Ollama 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.