Patch Deep Friday - Test Drive 1 - fully localized.

 

✅ Test Drive Sequence: Patch Deep Friday Stack

1. 🔍 Verify Docker Containers

Run:

bash
docker ps

You should see 3 containers:

• ollama (port 11434)

• openwebui (port 3000)

• n8n (port 5678)

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2. 🌐 Access OpenWebUI (LLM Chat)

• Open browser to: http://localhost:3000

• You should see a clean Web UI with model selection (llama3/mistral/phi)

• 🧪 Test Prompt:

  “Explain the difference between symmetric and asymmetric encryption.”

🧠 Confirm that:

• Model responds correctly

• You can switch between models (llama3 → mistral → phi)

• There’s no internet leak (confirm netstat if paranoid)

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3. 🧠 API Test via Ollama

In terminal:

bash
curl http://localhost:11434/api/generate -d '{"model":"llama3","prompt":"What is OPSEC?"}'

You should receive a full JSON output with response.

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4. 🤖 Access n8n

• Open: http://localhost:5678

• Log in with:

  • User: admin

  • Password: kalikotrocks

• 🧪 Test Workflow:

  1. Create new workflow

  2. Add a "Cron" node → set to run every minute

  3. Add "Set" node → Output: message: Hello Kalikot

  4. Connect & Activate

This validates n8n automation engine.

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5. 📁 File Ingestion Test (Optional)

If you’ve created a ~/offline-ai-stack/data/docs folder:

• Drop a .txt file (e.g., test-snippet.txt)

• Launch a Python container:

bash
docker run -it --rm -v ~/offline-ai-stack/data:/app/data python:3.11-bullseye bash

• Inside:

bash
pip install llama-index chromadb
# Then build simple doc index

We can automate this later via n8n.

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6. 🛑 When Done

To gracefully shut down:

bash
cd ~/offline-ai-stack
docker compose down

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🎯 Final Check

Layer	Status
Docker	✅ Up and running
Ollama API	✅ Responds to curl requests
WebUI	✅ Loads, switches models
n8n	✅ Login, build workflows
File Mounts	✅ Validated via busybox/python