# Ollama Local LLM - No Output or Broken Tools - Fix OpenClaw

Fix OpenClaw by checking your Ollama connection, model name, base URL, tool-calling support, and hardware limits.

## Quick Diagnosis: Is It an Ollama Problem or a Tool-Calling Problem?

Before changing random settings, find out what is actually failing. There are usually two different problems:

1. Ollama is not working
2. Ollama works, but the local model cannot handle OpenClaw tools properly

| What Happens | Likely Issue | What to Do |
|--------------|--------------|------------|
| Ollama does not respond in terminal | Ollama setup issue | Fix Ollama first |
| Ollama works, but OpenClaw gives no output | OpenClaw provider config issue | Check base URL and model name |
| Normal chat works, but tools fail | Tool-calling issue | Test stronger model or cloud model |
| Model outputs raw tool JSON | Wrong Ollama URL or weak tool support | Remove `/v1` and use native Ollama URL |
| Cloud model works, Ollama fails | Local model or hardware issue | Change model or use managed setup |

## Why Ollama Gives No Output in OpenClaw

1. Ollama is not running
2. The model is not pulled locally
3. OpenClaw is using the wrong model name
4. OpenClaw is using the wrong Ollama base URL
5. The local model is too slow
6. Your machine does not have enough RAM or VRAM
7. The prompt or workflow context is too large
8. The selected model cannot reliably follow tool-calling instructions

Ollama's local API is served by default at `http://localhost:11434/api`. OpenClaw integrates with Ollama's native API - do not use the OpenAI-compatible `/v1` URL.

## Quick Checks Before Debugging Deeply

### 1. Check Ollama version
```bash
ollama --version
```

### 2. Start Ollama
```bash
ollama serve
```

### 3. Check available models
```bash
ollama list
```

### 4. Test the model directly
```bash
ollama run your-model-name
```
Then ask: `Reply with only: working`

### 5. Check Ollama API
```bash
curl http://localhost:11434/api/tags
```

### 6. Check OpenClaw base URL

Use this:
```
http://localhost:11434
```

Do NOT use this:
```
http://localhost:11434/v1
```

## Fix 1: Start or Restart Ollama

```bash
ollama serve
systemctl status ollama
sudo systemctl restart ollama
curl http://localhost:11434/api/tags
```

## Fix 2: Pull and Test the Model First

```bash
ollama pull llama3.1:8b
ollama run llama3.1:8b
```
Test with: `Reply with only: working`

## Fix 3: Use the Correct Ollama Base URL

For local: `http://localhost:11434`
For remote: `http://your-server-ip:11434`
Do not use: `http://your-server-ip:11434/v1`

**Docker note:** If OpenClaw is running inside Docker, `localhost` may point to the container, not your host machine. Use a reachable host address instead.

## Fix 4: Match the Exact Model Name

```bash
ollama list
```

Copy the exact model name. Example: `qwen2.5-coder:7b`. Do not write `qwen coder` or `qwen2.5` - model names are exact identifiers.

## Fix 5: Test Plain Chat Before Testing Tools

Test: `Write one short sentence about OpenClaw.`

If that works, test: `Use the browser tool to open example.com and return the page title.`

If plain chat works but tools fail, the problem is tool-calling support, model quality, or provider configuration.

## Fix 6: Reduce Prompt and Tool Load

Avoid: `Research 20 competitors, visit each website, compare pricing, write a report.`

Start with: `Open example.com and return the page title only.`

Reduce: long prompts, old chat history, large logs, full webpage dumps, large files, too many browser actions, multi-step tasks.

## Fix 7: Use a Stronger Model or Test a Cloud Model

OpenClaw tool workflows need strong instruction following, structured output, tool selection, multi-step reasoning, stable responses after tool results, and reliable context handling.

If the cloud model works and Ollama fails, the issue is the local model, hardware limits, Ollama configuration, or weak tool-calling behavior.

## Final Checklist

| Step | What to Check |
|------|---------------|
| 1 | Restart Ollama |
| 2 | Restart OpenClaw |
| 3 | Confirm Ollama API works with `/api/tags` |
| 4 | Confirm OpenClaw uses `http://localhost:11434` or reachable host URL |
| 5 | Remove `/v1` from the Ollama base URL |
| 6 | Match the exact model name from `ollama list` |
| 7 | Test plain chat before tools |
| 8 | Test one tool at a time |
| 9 | Reduce prompt size |
| 10 | Try another model |
| 11 | Test the same workflow with a cloud model |

## When to Stop Debugging Local Ollama

**Local Ollama is good for:** private testing, local experiments, simple chat, no API bills, small workflows.

**Not ideal for:** reliable OpenClaw tools, browser automation, scheduled workflows, WhatsApp/Telegram/Discord/Slack automations, always-on usage, production workflows.

## Easiest Fix: Run OpenClaw on Ampere.sh

Use Ampere.sh if you want managed OpenClaw hosting, no local Ollama setup, no Docker debugging, model access without API keys, easier workflow testing, and scheduled automations.

[Run OpenClaw on Ampere.sh](https://www.ampere.sh/setup)

## FAQs

**Why does Ollama give no output in OpenClaw?**
Ollama may not be running, the model may not be pulled, the model name may be wrong, the base URL may be incorrect, or your local machine may not have enough resources.

**Why do OpenClaw tools break with Ollama?**
Some local models are weak at tool calling, structured output, browser actions, file actions, terminal actions, and multi-step reasoning.

**Should I use /v1 with Ollama in OpenClaw?**
No. Use the native base URL like `http://localhost:11434`. The `/v1` URL can break tool calling.

**How do I check if Ollama is reachable?**
Run `curl http://localhost:11434/api/tags`. If reachable, it returns model data.

**How do I check my Ollama model name?**
Run `ollama list`. Use the exact model name shown.

**When should I stop using local Ollama for OpenClaw?**
When you need reliable tools, scheduled workflows, messaging integrations, browser automation, or always-on usage.

**What is the easiest fix?**
Run OpenClaw on Ampere.sh - avoid local Ollama setup, get managed hosting, 7-day free trial.