What this error means
run error: LLM request failed: network connection error is a Ollama failure pattern reported for developers trying to fix ollama network connection error when running ai agents that make llm requests. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
openkaiden/kaiden issue #1875: Ollama v0.2.2 on Windows 11 throws 'LLM request failed: network connection error' when trying to communicate with OpenClaw agent. Affects local AI agent setups.
Common causes
- Developers running local LLM agents (like OpenClaw) via Ollama on Windows encounter network connection errors that halt the entire agent loop. This is a common setup issue for local AI development.
- openkaiden/kaiden issue #1875: Ollama v0.2.2 on Windows 11 throws 'LLM request failed: network connection error' when trying to communicate with OpenClaw agent. Affects local AI agent setups.
Quick fixes
- Confirm the exact error signature matches
run error: LLM request failed: network connection error. - 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.