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# Running the Web4 Demos
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This guide shows how to run the **Store Demo** (merchant) and the **Delegation Manager UI** together, and how to exercise the trust and approval flows.
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## 1. Prerequisites
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- Python 3.10+ installed and on PATH.
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- `pip` available for installing dependencies.
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- (Recommended) A virtual environment for this repo.
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From the repo root:
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```bash
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cd demo/store
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pip install -r requirements.txt
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cd ../delegation-ui
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pip install -r requirements.txt
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```
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> If `cryptography` prints messages about Rust, it is trying to compile from source. On most Windows setups the prebuilt wheels will be used; if not, installing Rust from https://rustup.rs may be required.
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---
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## 2. Start the Delegation Manager UI
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From the repo root:
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```bash
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cd demo/delegation-ui
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python app.py
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```
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Then open:
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- http://localhost:8001
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What you can do here:
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- **Create delegations** for agents (e.g. `agent-claude-demo`).
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- Set spending limits and allowed resources.
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- See **pending approvals** for high-value purchases.
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- View **activity** and **T3 trust scores** for agents.
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---
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## 3. Start the Store Demo (Merchant)
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In a second terminal, from the repo root:
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```bash
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cd demo/store
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python app.py
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```
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Then open:
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- Store home: http://localhost:8000
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- Store dashboard: http://localhost:8000/dashboard
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The store exposes a simple product catalog with an "🤖 Agent Purchase" button for each item. Purchases are executed by a demo agent (`agent-claude-demo`) using the Web4 authorization stack.
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---
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## 4. Walkthrough: Trust and Approvals in Action
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### Step 1 – Create a delegation
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1. Go to **Delegation Manager**: http://localhost:8001
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2. On the **Create Delegation** tab:
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- Set **Agent Name** to something like `Claude (demo)`.
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- Set **Agent ID** to `agent-claude-demo`.
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- Leave budgets at defaults or adjust as you like.
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- Choose allowed resources (e.g. books and music).
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- Click **Create Delegation**.
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3. Switch to **Manage Delegations** to see the new entry and its T3 trust section.
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### Step 2 – Normal purchases and trust evolution
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1. Go to the **Store**: http://localhost:8000
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2. Click **🤖 Agent Purchase** on lower-priced items (e.g. books/music under $75).
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3. After a successful purchase, visit the **Store Dashboard**:
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- http://localhost:8000/dashboard
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4. Observe:
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- **Daily Budget** usage.
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- **ATP Budget**.
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- **Agent Trust (T3)**: talent, training, temperament, composite, and transaction stats.
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- Recent purchases in **Activity**.
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Each successful, in-constraint purchase updates the agent’s T3 profile via the `T3Tracker`.
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### Step 3 – Low-trust, high-value gate
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The store enforces a demo-local policy:
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- If **composite T3 trust < 0.30** and
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- The product price is **≥ $75.00**,
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- Then the purchase is denied and routed to the Delegation Manager for approval.
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To see this:
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1. From the **Store**, attempt to buy a high-priced item (e.g. `Introduction to Machine Learning`).
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2. If the agent’s trust is still low, you will see a message like:
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> Agent trust too low for high-value purchase. Trust X.XX < 0.30 for items over $75.00. Approval request created. Open the Delegation Manager to review (ID: app-...).
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3. Go to **Delegation Manager → Pending Approvals**:
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- http://localhost:8001
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- You should see a card for the high-value purchase request.
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4. Approve or deny the request.
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5. Check **Activity** to see the approval response logged.
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At this point you have:
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- Verified end-to-end Web4 authorization for normal purchases.
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- Seen **T3 trust** update based on outcomes.
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- Triggered a **human approval requirement** driven by low trust for high-value items.
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---
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## 5. Trust Visualizer Example
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The trust visualizer is a separate static example that shows simplified trust dynamics over time.
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From the repo root:
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1. Open the file directly in a browser:
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```
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c:\projects\ai-agents\web4\examples\trust-visualizer\index.html
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```
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2. Or serve via a simple static server (example):
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```bash
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cd examples/trust-visualizer
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python -m http.server 8080
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# then visit http://localhost:8080/index.html
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```
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Use the **Positive / Negative / Neutral / Random** buttons to see the trust line and uncertainty band evolve.
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---
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This document is intentionally minimal; for deeper architectural context, see the root `README.md`, `WINDSURF_QUICKSTART.md`, and `DEMO_SCRIPT.md`.

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