Model Not Responding in OpenClaw: What to Check

You may see:

• No output after sending a message
• Empty replies in the chat
• A workflow that starts but never finishes
• Tool calls running without a final answer
• A model working in one place but failing inside OpenClaw
• OpenClaw showing connected, but the response stays blank

You may be facing this issue if:

• OpenClaw returns a blank response
• The TUI shows no output
• The message sends, but nothing comes back
• The workflow stops before the final answer
• Token usage stays at zero
• Gateway logs show activity but no useful response
• One model works, but another model fails
• Short prompts work, but large tasks fail
• Local LLMs like Ollama or LM Studio return nothing
• WhatsApp, Telegram, Discord, or Slack receives no reply

If your API key is missing, expired, revoked, or invalid, OpenClaw cannot get a response from the model provider.

Common causes:

• Wrong API key
• Missing API key
• Expired key
• Revoked key
• OAuth token issue
• Billing disabled
• Provider account restriction

Check your model status first:

If the key is wrong, update it and restart the gateway:

These commands help you check:

• Whether OpenClaw is running
• Whether the model is configured
• Whether the gateway is active
• Whether the model can return a basic response
• Whether logs show auth, timeout, or connection errors

Start with a tiny prompt:

If this works, your model connection is probably fine. If this fails, check:

• API key
• Billing
• Model name
• Gateway
• Provider status
• Local runtime

If the short prompt works but your original task fails, the issue is likely caused by large context, tool output, or workflow complexity.

A bad API key is one of the most common reasons OpenClaw gives no output.

Check:

• Is the correct provider key added?
• Is the key active?
• Does your account have credits or billing enabled?
• Are you using the right key for the selected model?
• Are you using OAuth on a remote server where an API key would be more reliable?

Use:

If needed, add your keys to the OpenClaw environment file:

Example:

Then restart:

For deeper OAuth debugging, see our Claude OAuth 401 error fix and OpenClaw OAuth error guide.

OpenClaw may fail if the model name is wrong or no default model is selected.

Check:

• A default model is selected
• The model belongs to the correct provider
• The model ID is written correctly
• The model is still supported
• The provider account has access to that model

Run:

If one model fails, try another model. If another model works, the issue is probably model-specific, not a full OpenClaw failure. See our best AI model for OpenClaw guide for stronger picks.

The gateway must be running for OpenClaw to communicate properly. If the gateway is stopped, stuck, or disconnected, OpenClaw may show no output.

Check gateway status:

Restart it:

Watch live logs:

For VPS or always-on setups, install the gateway as a service:

This helps keep OpenClaw running in the background instead of dying quietly like every background process eventually tries to do. If your gateway is closing with a 1006 code, see our Gateway 1006 fix guide.

Sometimes your API key works in the terminal, but OpenClaw still cannot use it. This usually happens because the gateway or daemon does not inherit your shell environment.

This is common on:

• VPS
• WSL2
• Docker
• Background service setups

Fix it by adding keys directly to:

Example:

Then restart:

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OpenClaw may send more data than you realize. Even if your prompt looks short, the full request may include:

• Chat history
• Files
• Browser content
• Logs
• Tool outputs
• Workflow memory
• Previous step results
• API responses

If the context is too large, the model may timeout, fail, or return empty output.

Fix it by:

• Removing old chat history
• Summarizing long files
• Avoiding full raw logs
• Limiting browser extraction
• Splitting large tasks into smaller steps
• Asking for a short output first
• Testing with a smaller version of the task

Bad prompt:

Better prompt:

For a deeper look at context and cost, see our token usage and cost control guide.

Sometimes the model is not the problem. A tool may fail before the final response is created.

Check if:

• Browser tool returned too much content
• File reading failed
• Terminal command hung
• API call timed out
• JSON response was too large
• Approval step blocked the workflow
• Workflow stopped at a previous step

Use this debug prompt:

This helps you find the exact step causing the blank reply.

Run OpenClaw's diagnostic repair command:

Use this to check:

• Gateway connectivity
• Model setup
• Auth credentials
• Channel connections
• Common configuration issues

This is a good step when you are not sure what is broken and would rather not manually investigate every layer like a detective in a very boring crime drama.

If OpenClaw is connected to WhatsApp, Telegram, Discord, Slack, or another channel, the model may respond but the message may not be delivered.

Check channel status:

Check config:

Check deeper status:

If you are using the TUI, launch it with delivery enabled so replies actually reach the channel:

Also check if an allowlist is blocking the sender. If the sender is not allowed, OpenClaw may ignore the message.

If you use a local model through Ollama, LM Studio, LocalAI, vLLM, or TGI, test the local runtime separately.

Check:

• Is the runtime running?
• Is the model downloaded?
• Is the model loaded?
• Is the local endpoint reachable?
• Does the model support tool calling?
• Does your machine have enough RAM or VRAM?
• Is the model very slow instead of completely stuck?

Test the model outside OpenClaw first. If the local model does not respond outside OpenClaw, then OpenClaw is not the problem. The local runtime is. For a deeper Ollama walkthrough, see our Ollama no-output fix guide and set up Ollama with OpenClaw.

For VPS setups:

• Use API keys instead of machine-specific OAuth tokens
• Install the gateway as a daemon
• Check firewall rules
• Check port access
• Watch memory and CPU limits
• Restart the gateway after config changes

Commands:

For WSL2:

• Store API keys in ~/.openclaw/.env
• Do not rely only on shell exports
• Restart WSL2 if networking breaks
• Try both localhost and 127.0.0.1 for local model endpoints
• Check Windows firewall if local connections fail

Restart WSL2:

For Docker:

• Pass environment variables in docker-compose.yml
• Use host.docker.internal when connecting to host services
• Do not assume 127.0.0.1 inside Docker means your host machine
• Persist OpenClaw state and workspace directories
• Restart containers after changing environment variables

Use this order:

1. Check OpenClaw status
2. Check model status
3. Test a minimal prompt
4. Watch gateway logs
5. Check channel status
6. Run doctor fix
7. Try another model
8. Reduce context size
9. Disable tools and test again
10. Move to managed hosting if setup keeps breaking

Commands:

If you still cannot fix the issue, collect this information before asking for support:

Also include:

• Your platform: macOS, Linux, Windows WSL2, Docker, or VPS
• Model provider
• Whether you use API key or OAuth
• Whether short prompts work
• Whether another model works
• When the issue started
• Any recent config or hosting changes

This saves everyone time, which is apparently still legal.

Use managed OpenClaw hosting when you need:

• Always-on agents
• Scheduled workflows
• WhatsApp, Telegram, Discord, or Slack automation
• Browser automation
• Team workflows
• Reliable background runs
• Less server maintenance
• Faster setup

Ampere.sh gives you managed OpenClaw hosting so you can run workflows without handling server setup, SSH, port debugging, gateway maintenance, or background service issues.

With Ampere.sh, you can:

• Deploy OpenClaw faster
• Add your model API key or use available credits
• Connect channels like WhatsApp, Telegram, Discord, or Slack
• Run always-on workflows
• Avoid gateway and VPS maintenance
• Focus on building automations instead of fixing empty replies

If OpenClaw keeps returning no output because of hosting, gateway, or setup problems, running it on Ampere.sh is the simpler path.

Before you stop debugging, check this:

• Test with a one-word prompt
• Check API key
• Check billing and rate limits
• Confirm default model
• Verify exact model ID
• Restart gateway
• Check .env loading
• Reduce context size
• Check tool logs
• Run openclaw doctor --fix
• Check channel status
• Test local LLM directly
• Try another model
• Use Ampere.sh if hosting setup keeps breaking