Ollama Inference Test

Test and benchmark local Ollama inference server.

Inputs

Persona

• •persona_load("developer") — ollama, systemctl, curl tools

Workflow

1. Load Persona

• •persona_load("developer")

2. Check Status

• •ollama_status() — server status
• •systemctl_status(unit="ollama.service") — service
• •ollama_test() — connectivity and models

3. Restart if Needed

• •If not running and action in [test, benchmark]: systemctl_restart(unit="ollama.service")

4. Inference Tests (test or benchmark)

• •ollama_generate(model=inputs.model, prompt=inputs.prompt)
• •ollama_classify(text="This PR fixes a critical security vulnerability...", labels="bug_fix,feature,security,refactor,docs")

5. Benchmark (if action=benchmark)

• •curl_timing(url="http://localhost:11434/api/generate") — response time

6. Parse Results

• •Check generate/classify output for errors
• •Extract timing from benchmark

7. Failure Learning

• •If connection refused: learn_tool_fix("ollama_status", "connection refused", "Ollama not running", "systemctl_restart ollama.service")
• •If model not found: learn_tool_fix("ollama_generate", "model not found", "Model not downloaded", "ollama_pull(model=...)")
• •If OOM: learn_tool_fix("ollama_generate", "out of memory", "Not enough GPU/RAM", "Use smaller model")

8. Log

• •memory_session_log("Ollama inference test: {action}", "model={model}, passed={passed}")

MCP Tools

• •ollama_status, ollama_test, ollama_generate, ollama_classify
• •systemctl_status, systemctl_restart
• •curl_timing

Quick Examples

skill_run("ollama_inference_test", '{"action": "status"}')
skill_run("ollama_inference_test", '{"action": "benchmark", "model": "llama3.2:3b"}')