agent-builder
DenchHQ/DenchClaw/skills/app-builder/agent-builder/SKILL.md
Build AI-powered DenchClaw apps that interact with the OpenClaw agent — create chat sessions, send and receive messages with streaming, expose app tools for agent invocation, and access agent memory.
Skill1.7k starsChanged 6 months ago
What's in it
- App Agent Builder
- Chat API (agent permission required)
- Creating Sessions
- Sending Messages with Streaming
- Chat History & Control
- Simple Agent Message (fire-and-forget)
- App-as-Tool (agent permission required)
- Agent Memory Access (agent permission required)
- Gateway WebSocket Protocol (Advanced)
- Connection
- Frame Types
- Connection Handshake
- Sending Messages
- Agent Events
- Patterns
- Chat UI App
- Agent-Powered Data Analysis
---
name: agent-builder
description: Build AI-powered DenchClaw apps that interact with the OpenClaw agent — create chat sessions, send and receive messages with streaming, expose app tools for agent invocation, and access agent memory.
metadata: { "openclaw": { "inject": true, "always": true, "emoji": "🤖" } }
---
# App Agent Builder
This skill covers building apps that interact with the AI agent. For core app structure and manifest basics, see the parent **app-builder** skill (`app-builder/SKILL.md`).
## Chat API (`agent` permission required)
### Creating Sessions
```javascript
// Create a new chat session
const { sessionId } = await dench.chat.createSession("My Analysis Session");
// List existing sessions
const sessions = await dench.chat.getSessions({ limit: 20 });
// Returns array of { id, title, createdAt, ... }
```
### Sending Messages with Streaming
```javascript
const result = await dench.chat.send(sessionId, "Analyze the people table and summarize trends", {
onEvent(event) {
switch (event.type) {
case "text-delta":
appendToChat(event.data);
break;
case "reasoning-delta":
updateThinking(event.data);
break;
case "tool-input-start":
showToolCall(event.name, event.args);
break;
case "tool-output-available":
showToolResult(event.result);
break;
}
},
});
// result contains the full accumulated response: { text, toolCalls, reasoning }
```
### Chat History & Control
```javascript
// Get message history for a session
const messages = await dench.chat.getHistory(sessionId);
// Returns array of { role, content, toolCalls?, ... }
// Check if a session has an active run
const isActive = await dench.chat.isActive(sessionId);
// Abort an active run
await dench.chat.abort(sessionId);
```
### Simple Agent Message (fire-and-forget)
```javascript
// Send a one-off message to the agent (no streaming, no session management)
await dench.agent.send("Remind me to check the reports tomorrow at 9am");
```
## App-as-Tool (`agent` permission required)
Apps can expose themselves as tools that the agent can invoke. Declare tools in the manifest:
```yaml
name: "Chart Analyzer"
permissions:
- agent
tools:
- name: "analyze-chart"
description: "Generates a visual chart analysis from structured data"
inputSchema:
type: object
properties:
data:
type: array
description: "Array of data points"
chartType:
type: string
enum: ["bar", "line", "pie", "scatter"]
required: ["data", "chartType"]
```
Register tool handlers in the app:
```javascript
dench.tool.register("analyze-chart", async (input) => {
const { data, chartType } = input;
// Process the data and generate the chart
const chart = renderChart(data, chartType);
const analysis = analyzeData(data);
// Return result to the agent
return {
analysis: analysis,
chartImageUrl: chart.toDataURL(),
summary: `Generated ${chartType} chart with ${data.length} data points`,
};
});
```
When the agent invokes the tool, the app receives the input, processes it, and returns the result. The app must be open (active tab) for tool invocation to work.
## Agent Memory Access (`agent` permission required)
```javascript
// Read the agent's memory (MEMORY.md + daily logs)
const memory = await dench.memory.get();
// Returns { memory: "...", dailyLogs: [...] }
```
## Gateway WebSocket Protocol (Advanced)
For advanced apps that want to build their own chat UI or need direct Gateway access, here's the WebSocket protocol:
### Connection
```javascript
const ws = new WebSocket("ws://127.0.0.1:18789");
// Port is configurable via gateway.port in ~/.openclaw-dench/openclaw.json
```
### Frame Types
```javascript
// Request (client -> gateway)
{ type: "req", id: "uuid", method: "agent", params: { ... } }
// Response (gateway -> client)
{ type: "res", id: "uuid", ok: true, payload: { ... } }
// Event (gateway -> client)
{ type: "event", event: "agent", seq: 1, payload: { ... } }
```
### Connection Handshake
```javascript
ws.onopen = () => {
ws.send(
JSON.stringify({
type: "req",
id: crypto.randomUUID(),
method: "connect",
params: {
minProtocol: 3,
maxProtocol: 3,
client: { id: "my-app", version: "1.0", platform: "web", mode: "backend" },
role: "user",
scopes: ["agent", "chat"],
caps: ["tool-events"],
},
}),
);
};
```
### Sending Messages
```javascript
// Start an agent run
ws.send(
JSON.stringify({
type: "req",
id: crypto.randomUUID(),
method: "agent",
params: {
message: "Hello, analyze this data",
sessionKey: "agent:main:web:my-session-id",
channel: "webchat",
lane: "web",
},
}),
);
// Abort a run
ws.send(
JSON.stringify({
type: "req",
id: crypto.randomUUID(),
method: "chat.abort",
params: { sessionKey: "agent:main:web:my-session-id" },
}),
);
```
### Agent Events
```javascript
ws.onmessage = (e) => {
const frame = JSON.parse(e.data);
if (frame.type !== "event" || frame.event !== "agent") return;
const { stream, data } = frame.payload;
switch (stream) {
case "lifecycle":
// data.phase: "start" | "end" | "error"
break;
case "thinking":
// data.delta: incremental reasoning text
break;
case "assistant":
// data.delta: incremental response text
// data.text: full text (on completion)
// data.stopReason: "end_turn" | "tool_use" | etc.
break;
case "tool":
// data.phase: "start" | "update" | "result"
// data.name, data.args, data.result
break;
}
};
```
NOTE: For most apps, the bridge chat API (`dench.chat.*`) is much simpler than direct WebSocket usage. Use the Gateway WS only when you need full control over the connection.
## Patterns
### Chat UI App
```javascript
let currentSessionId = null;
const chatContainer = document.getElementById("chat");
async function startNewChat() {
const { sessionId } = await dench.chat.createSession("App Chat");
currentSessionId = sessionId;
chatContainer.innerHTML = "";
}
async function sendMessage(text) {
appendMessage("user", text);
const responseEl = appendMessage("assistant", "");
await dench.chat.send(currentSessionId, text, {
onEvent(event) {
if (event.type === "text-delta") {
responseEl.textContent += event.data;
}
},
});
}
function appendMessage(role, content) {
const div = document.createElement("div");
div.className = `message ${role}`;
div.textContent = content;
chatContainer.appendChild(div);
chatContainer.scrollTop = chatContainer.scrollHeight;
return div;
}
```
### Agent-Powered Data Analysis
```javascript
async function analyzeData(objectName) {
const schema = await dench.objects.getSchema(objectName);
const { sessionId } = await dench.chat.createSession("Data Analysis");
const result = await dench.chat.send(
sessionId,
`Analyze the ${objectName} object. It has these fields: ${schema.fields.map((f) => f.name).join(", ")}. ` +
`Query the data and provide insights.`,
{
onEvent(event) {
if (event.type === "text-delta") updateAnalysisPanel(event.data);
},
},
);
showFinalAnalysis(result.text);
}
```
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Also found in one other repository
The same file, byte for byte, in the weekly crawl of public GitHub.
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