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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@@ -63,7 +63,7 @@ Smart Support 通过 MCP 协议连接内部系统,将自动化率提升到 60%+
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v
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+--------+--------------------+
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| LangGraph Supervisor | (Agent 编排 + 意图路由)
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| langgraph-supervisor v1.1 |
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| langgraph-supervisor 0.0.12+|
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+--------+--------------------+
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+----+----+----+----+
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@@ -9,33 +9,38 @@ specialist with a specific role, permission level, and set of tools it can call.
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```yaml
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agents:
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- name: order_agent
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description: "Handles order status, tracking, and cancellations."
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permission: write
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tools:
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- get_order_status
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- cancel_order
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personality:
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tone: friendly
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greeting: "I can help with your order. What is your order number?"
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escalation_message: "I'm escalating this to a human agent now."
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- name: refund_agent
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description: "Processes refund requests."
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permission: write
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tools:
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- process_refund
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- check_refund_eligibility
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personality:
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tone: empathetic
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greeting: "I'm the refund specialist. How can I help?"
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escalation_message: "I need to escalate this refund request."
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- name: general_agent
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description: "Answers general questions and FAQs."
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- name: order_lookup
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description: "Looks up order status and tracking information."
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permission: read
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tools:
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- get_order_status
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- get_tracking_info
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personality:
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tone: "friendly and informative"
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greeting: "I can help you check your order status!"
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escalation_message: "Let me connect you with our support team."
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- name: order_actions
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description: "Performs order modifications like cancellations."
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permission: write
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tools:
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- cancel_order
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personality:
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tone: "careful and reassuring"
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greeting: "I can help you with order changes."
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escalation_message: "I'll connect you with a specialist."
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- name: discount
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description: "Applies discounts and generates coupon codes."
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permission: write
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tools:
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- apply_discount
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- generate_coupon
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- name: fallback
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description: "Handles general questions and unclear requests."
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permission: read
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tools:
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- search_faq
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- fallback_respond
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```
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@@ -52,31 +57,38 @@ user messages to the right agent. Be specific.
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Controls the interrupt threshold:
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- `read` -- no interrupt required. Agent can act immediately.
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- `write` -- requires human approval via interrupt before executing tools.
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- `admin` -- requires human approval and is logged for audit.
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### `tools` (required)
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List of tool names this agent can use. Tools are registered in the agent factory.
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List of tool names this agent can use. Tools are registered in `backend/app/agents/`.
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Each tool name must match a registered LangChain tool.
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Available built-in tools:
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- `get_order_status` -- look up order details
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- `get_tracking_info` -- get shipping/tracking info
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- `cancel_order` -- cancel an order (write)
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- `apply_discount` -- apply a discount code (write)
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- `generate_coupon` -- generate a new coupon (write)
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- `fallback_respond` -- generic fallback response
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### `personality` (optional)
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Customizes agent behavior:
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- `tone` -- `friendly`, `formal`, `empathetic`, `technical`
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- `greeting` -- Opening message injected at session start.
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- `escalation_message` -- Message sent when the agent escalates.
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- `tone` -- free-text description of the agent's communication style
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- `greeting` -- opening message injected at session start
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- `escalation_message` -- message sent when the agent escalates
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## Built-in Templates
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Use `TEMPLATE_NAME` environment variable to load a pre-built agent configuration:
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| Template | Description |
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|----------|-------------|
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| `ecommerce` | Orders, refunds, shipping, product questions |
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| `saas` | Account management, billing, technical support |
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| `generic` | General-purpose FAQ and escalation |
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| Template | Filename | Description |
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|----------|----------|-------------|
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| `e-commerce` | `templates/e-commerce.yaml` | Orders, shipping, discounts |
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| `saas` | `templates/saas.yaml` | Account management, billing, support |
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| `fintech` | `templates/fintech.yaml` | Financial services support |
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Example:
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```bash
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TEMPLATE_NAME=ecommerce uvicorn app.main:app
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TEMPLATE_NAME=e-commerce uvicorn app.main:app
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```
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## Adding New Agents
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@@ -98,7 +110,7 @@ matches the agent's description.
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## Escalation
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Any agent can trigger escalation by calling the `escalate` tool. This:
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Any agent can trigger escalation. This:
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1. Sends a webhook notification (if `WEBHOOK_URL` is configured).
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2. Marks the conversation with `resolution_type = escalated`.
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3. Sends the agent's `escalation_message` to the user.
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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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@@ -10,7 +10,8 @@ Import a URL, review the AI-classified endpoints, approve, and your agents are l
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1. **Import** -- Provide a URL to an OpenAPI 3.0 spec (JSON or YAML).
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2. **Parse** -- The system downloads and parses the spec.
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3. **Classify** -- An LLM classifies each endpoint's:
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- `access_type`: `read`, `write`, or `admin`
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- `access_type`: `read` or `write`
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- `needs_interrupt`: whether human approval is required
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- `agent_group`: which specialist agent should handle this endpoint
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4. **Review** -- You inspect and edit the classifications in the UI.
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5. **Approve** -- Approved endpoints are registered as tools on the appropriate agents.
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@@ -19,12 +20,12 @@ Import a URL, review the AI-classified endpoints, approve, and your agents are l
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1. Navigate to the **API Review** tab.
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2. Paste your OpenAPI spec URL into the import form.
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3. Click **Import**.
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3. Click **Scan Tools**.
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4. Wait for the job to complete (status: `pending` -> `processing` -> `done`).
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5. Review the endpoint table:
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- Edit `access_type` if the AI misclassified sensitivity.
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- Edit `agent_group` to reassign an endpoint to a different agent.
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6. Click **Approve & Save** when satisfied.
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5. Review the endpoint cards grouped by agent:
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- Edit `access_type` (Read Only / Write) if the AI misclassified sensitivity.
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- Edit the agent assignment to reassign an endpoint to a different agent.
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6. Click **Save Configuration** when satisfied.
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## Using the REST API
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@@ -39,11 +40,15 @@ Content-Type: application/json
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}
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```
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Response:
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Response (202):
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```json
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{
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"success": true,
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"data": { "job_id": "abc123", "status": "pending" }
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"job_id": "abc123",
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"status": "pending",
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"spec_url": "https://api.example.com/openapi.yaml",
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"total_endpoints": 0,
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"classified_count": 0,
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"error_message": null
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}
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```
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@@ -53,47 +58,52 @@ Response:
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GET /api/openapi/jobs/{job_id}
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```
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### Get job results
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### Get classifications
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```http
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GET /api/openapi/jobs/{job_id}/result
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GET /api/openapi/jobs/{job_id}/classifications
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```
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Response: array of classification objects with `index`, `access_type`,
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`needs_interrupt`, `agent_group`, `confidence`, `customer_params`, and `endpoint`.
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### Update a classification
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```http
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PUT /api/openapi/jobs/{job_id}/classifications/{index}
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Content-Type: application/json
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{
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"access_type": "write",
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"needs_interrupt": true,
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"agent_group": "order_actions"
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}
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```
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### Approve job
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```http
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POST /api/openapi/jobs/{job_id}/approve
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Content-Type: application/json
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{
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"endpoints": [
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{
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"path": "/orders/{order_id}",
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"method": "get",
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"access_type": "read",
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"agent_group": "order_agent"
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}
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]
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}
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```
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No request body. Changes the job status to `approved`.
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## Access Type Classification
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| Access Type | Description | Interrupt Required |
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|-------------|-------------|-------------------|
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| `read` | GET operations, no side effects | No |
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| `write` | POST/PUT/PATCH that modify data | Yes |
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| `admin` | DELETE, bulk operations, sensitive writes | Yes |
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| `write` | POST/PUT/PATCH/DELETE that modify data | Yes (by default) |
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The `needs_interrupt` flag can be overridden per-endpoint during review.
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## SSRF Protection
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All import requests are validated against an allowlist:
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All import requests are validated:
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- Private IP ranges are blocked (10.x, 172.16.x, 192.168.x, 127.x)
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- Localhost and metadata service URLs are blocked
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- Localhost and cloud metadata service URLs are blocked
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- Only `http://` and `https://` schemes are permitted
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To allow internal URLs (e.g., in development), set `SSRF_ALLOWLIST_HOSTS` in your environment.
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## Supported Spec Formats
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- OpenAPI 3.0.x (JSON or YAML)
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