docs: reconcile README and docs with actual codebase
README: - Remove duplicated agent config, safety, security sections (covered by docs) - Add ux_design_system.md and safety.py to project structure and doc links - Convert doc links to descriptive table agent-config-guide.md: - Replace fictional agents/tools with real ones from agents.yaml - Remove nonexistent 'admin' permission level (only read/write) - Fix template names (e-commerce, saas, fintech) - List all available built-in tools openapi-import-guide.md: - Fix /result -> /classifications endpoint - Fix POST /approve to show no request body - Remove nonexistent 'admin' access type - Update response examples to match actual API demo-script.md: - Fix agent names (order_agent -> order_lookup) - Replace fictional refund scenario with real lookup+cancel flow ARCHITECTURE.md: - Fix langgraph-supervisor version (v1.1 -> 0.0.12+) docker-compose.yml: - Expose postgres on port 5433 for local dev
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@@ -46,7 +46,7 @@ Navigate to http://localhost in your browser.
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1. Open the Chat tab (default).
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2. Send: **"What is the status of order 12345?"**
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- Observe the `tool_call` indicator appear in the sidebar (order_agent calling `get_order_status`).
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- Observe the `tool_call` indicator appear in the sidebar (`order_lookup` calling `get_order_status`).
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- The agent responds with order status.
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3. Send: **"Can you cancel that order?"**
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- The system detects a write operation and shows an **Interrupt Prompt**.
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@@ -61,15 +61,15 @@ Key points to highlight:
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### Scene 2: Multi-Agent Routing (2 minutes)
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1. Start a new browser tab (new session) or clear session storage.
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2. Send: **"I need to track my order AND request a refund for a previous order"**
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- The supervisor detects two intents: `order_agent` and `refund_agent`.
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2. Send: **"I need to check order 12345 AND cancel order 67890"**
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- The supervisor detects two intents: `order_lookup` (read) and `order_actions` (write).
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- Both agents run in sequence.
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- Two interrupt prompts may appear if both operations are write-level.
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- The cancellation triggers an interrupt prompt for human approval.
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Key points to highlight:
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- Intent classification detecting multiple actions
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- Automatic routing to appropriate specialist agents
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- Sequential execution with confirmation gates
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- Sequential execution with confirmation gates for write operations
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### Scene 3: Conversation Replay (2 minutes)
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