openclaw-flowise-skill（OpenClaw flowise 技能）

Flowise Skill

Interact with Flowise AI platform via REST API.

Configuration

Store Flowise settings in TOOLS.md:

### Flowise
- Server: http://localhost:3000
- API Key: your-api-key-here
- Default Flow ID: your-default-flow-id (optional)
- Default Timeout: 300

#### Flows
| Flow ID | 名称 | 用途 | 参数 |
|---------|------|------|------|
| abc123 | 客服助手 | 处理客户咨询、售后问题 | - |
| def456 | 代码助手 | 代码生成、调试、技术问答 |  form格式: `script`=要执行的脚本, `device`=设备(可选) |
| ghi789 | 文档助手 | 文档总结、RAG知识库查询 | - |

Flow Selection

When calling Flowise, match the user's request to the appropriate flow:

1. Check TOOLS.md for the Flows table
2. Select the flow whose "用途" best matches the task
3. If no specific match, use the Default Flow ID
4. If user explicitly names a flow, use that one

Quick Reference

Send a message (Prediction)

curl -X POST "${FLOWISE_URL}/api/v1/prediction/${FLOW_ID}" \
  -H "Authorization: Bearer ${API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"question": "Hello, how are you?"}'

Send with streaming

curl -X POST "${FLOWISE_URL}/api/v1/prediction/${FLOW_ID}" \
  -H "Authorization: Bearer ${API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"question": "Tell me a story", "streaming": true}'

Send with session/conversation memory

curl -X POST "${FLOWISE_URL}/api/v1/prediction/${FLOW_ID}" \
  -H "Authorization: Bearer ${API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"question": "What did I ask before?", "sessionId": "user-123"}'

List all chatflows

curl -X GET "${FLOWISE_URL}/api/v1/chatflows" \
  -H "Authorization: Bearer ${API_KEY}"

Get chatflow details

curl -X GET "${FLOWISE_URL}/api/v1/chatflows/${FLOW_ID}" \
  -H "Authorization: Bearer ${API_KEY}"

Common Parameters for Prediction

Flow-specific Variables

Some flows accept custom variables. Pass them in the request:

{
  "question": "查询订单状态",
  "overrideConfig": {
    "vars": {
      "orderId": "12345",
      "userId": "user-abc"
    }
  }
}

Using Parameters from TOOLS.md

Check TOOLS.md for flow-specific parameters. The "参数" column indicates:

• Required parameters (必填)
• Default values to use
• Custom variables needed for that flow

Example entry:

| abc123 | RAG知识库 | 文档查询 | sessionId=必填, variables={"namespace": "docs"} |

When calling this flow, include the specified parameters.

Override Config Example

Override model settings or other flow parameters:

{
  "question": "Explain quantum computing",
  "overrideConfig": {
    "temperature": 0.7,
    "maxTokens": 500
  }
}

With File Upload

curl -X POST "${FLOWISE_URL}/api/v1/prediction/${FLOW_ID}" \
  -H "Authorization: Bearer ${API_KEY}" \
  -F "question=Analyze this document" \
  -F "files=@/path/to/document.pdf"

Form Object Request

Some flows use a form object for structured input parameters:

curl -X POST "${FLOWISE_URL}/api/v1/prediction/${FLOW_ID}" \
  -H "Authorization: Bearer ${API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "form": {
      "script": "d.send_keys(\"小红书\")",
      "device": "192.168.1.100:5555"
    }
  }'

Check TOOLS.md "参数" column for form格式 to identify these flows. Pass parameters inside the form object.

Error Handling

Workflow

1. Check TOOLS.md for Flowise server URL and API key
2. If not configured, ask user for:

- Flowise server URL (e.g., http://localhost:3000) - API key (if authentication is enabled) - Flow ID to use

1. Use exec with curl to call the API
2. Parse JSON response and present results

Tips

• Use sessionId consistently to maintain conversation context
• For long responses, enable streaming: true
• Test connectivity with /api/v1/ping endpoint first
• List available flows if user doesn't specify a flow ID