Flowise：可视化 LLM 操作流程引擎 2026 版

npm install -g flowise
flowise start

docker run -d -p 3000:3000 flowise/flowise

// my-custom-node.js
module.exports = {
    name: "CustomNode",
    category: "transform",
    component: {
        template: `
            <el-form-item label="输入">
                <el-input v-model="json.parameters.input"/>
            </el-form-item>
        `,
        methods: {
            async run() {
                const result = await customAPI(this.json.parameters.input);
                return { output: result };
            }
        }
    }
}

# 添加到 ~/.flowise/custom-nodes/
flowise restart

# 执行工作流
curl -X POST http://localhost:3000/api/v1/flow/execute \
  -H "Content-Type: application/json" \
  -d '{"flowId": "my-flow", "input": {"question": "什么是 AI？"}}'

# 接收外部 webhook
POST /api/v1/flow/webhook/{flowId}

# LLM 配置
OPENAI_API_KEY=sk-xxx
ANTHROPIC_API_KEY=sk-xxx

# 向量存储
PINECONE_API_KEY=xxx
CHROMA_SERVER_HOST=localhost

# docker-compose.yml
version: "3.8"
services:
  flowise:
    image: flowise/flowise
    ports:
      - "3000:3000"
    env_file: .env
    volumes:
      - ./data:/home/node/app/data

# 查看日志
docker logs flowise-flowise-1

# 实时监控
tail -f logs/flowise.log