eino

Eino 框架开发指南

Eino 是字节跳动开源的 Golang LLM/AI 应用开发框架，专注于 Agent 开发、工作流编排、工具调用。

环境要求

• Go 版本: 1.18+
• 代码规范: golangci-lint

快速开始

安装

go get github.com/cloudwego/eino
go get github.com/cloudwego/eino-ext

项目初始化

# 创建项目
mkdir my-eino-app && cd my-eino-app
go mod init my-eino-app

# 安装依赖
go get github.com/cloudwego/eino
go get github.com/cloudwego/eino-ext/components/model/openai

核心示例

1. ChatModelAgent（基础 Agent）

最简单的对话 Agent：

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
)

func main() {
    ctx := context.Background()

    // 配置 ChatModel
    chatModel, err := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })
    if err != nil {
        panic(err)
    }

    // 创建 Agent
    agent, err := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
    })
    if err != nil {
        panic(err)
    }

    // 运行 Agent
    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
    iter := runner.Query(ctx, "Hello, who are you?")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        fmt.Println(event.Message.Content)
    }
}

2. 带工具的 Agent

添加工具调用能力：

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
    "github.com/cloudwego/eino/compose"
    "github.com/cloudwego/eino/components/tool"
)

// 定义天气工具
type WeatherTool struct{}

func (w *WeatherTool) Info(ctx context.Context) (*tool.Info, error) {
    return &tool.Info{
        Name: "get_weather",
        Desc: "Get current weather for a location",
        ParamsOneOf: tool.NewParamsOneOfByParams(
            map[string]*tool.ParameterInfo{
                "location": {
                    Type: "string",
                    Desc: "City name",
                    Required: true,
                },
            },
        ),
    }, nil
}

func (w *WeatherTool) InvokableRun(ctx context.Context, argumentsInJSON string) (string, error) {
    // 实际应该调用天气 API
    return fmt.Sprintf("Weather in %s: Sunny, 25°C", argumentsInJSON), nil
}

func main() {
    ctx := context.Background()

    chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })

    // 创建工具
    weatherTool := &WeatherTool{}

    // 创建带工具的 Agent
    agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
        ToolsConfig: adk.ToolsConfig{
            ToolsNodeConfig: compose.ToolsNodeConfig{
                Tools: []tool.BaseTool{weatherTool},
            },
        },
    })

    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
    iter := runner.Query(ctx, "What's the weather in Beijing?")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        fmt.Println(event.Message.Content)
    }
}

3. DeepAgent（复杂任务）

处理复杂多步骤任务：

package main

import (
    "context"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
    "github.com/cloudwego/eino/adk/deep"
    "github.com/cloudwego/eino/compose"
    "github.com/cloudwego/eino/components/tool"
)

func main() {
    ctx := context.Background()

    chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })

    // 创建子 Agent
    researchAgent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
    })

    codeAgent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
    })

    // 创建 DeepAgent
    deepAgent, _ := deep.New(ctx, &deep.Config{
        ChatModel: chatModel,
        SubAgents: []adk.Agent{researchAgent, codeAgent},
        ToolsConfig: adk.ToolsConfig{
            ToolsNodeConfig: compose.ToolsNodeConfig{
                Tools: []tool.BaseTool{
                    // shellTool, pythonTool, webSearchTool
                },
            },
        },
    })

    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: deepAgent})
    iter := runner.Query(ctx, "Analyze the sales data and generate a report")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        // 处理事件
    }
}

4. Graph 编排

精确控制执行流程：

package main

import (
    "context"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/compose"
)

type Input struct {
    Text string
}

type Output struct {
    Result string
}

func main() {
    ctx := context.Background()

    chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })

    // 创建 Graph
    graph := compose.NewGraph[*Input, *Output]()

    // 添加节点
    graph.AddLambdaNode("validate", func(ctx context.Context, input *Input) (*Input, error) {
        // 验证逻辑
        return input, nil
    })

    graph.AddChatModelNode("generate", chatModel)

    graph.AddLambdaNode("format", func(ctx context.Context, input *Input) (*Output, error) {
        // 格式化逻辑
        return &Output{Result: input.Text}, nil
    })

    // 添加边
    graph.AddEdge(compose.START, "validate")
    graph.AddEdge("validate", "generate")
    graph.AddEdge("generate", "format")
    graph.AddEdge("format", compose.END)

    // 编译并运行
    runnable, _ := graph.Compile(ctx)
    result, _ := runnable.Invoke(ctx, &Input{Text: "Hello"})

    println(result.Result)
}

5. Graph 转工具

将工作流暴露为 Agent 工具：

package main

import (
    "context"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
    "github.com/cloudwego/eino/compose"
    "github.com/cloudwego/eino/components/tool"
    "github.com/cloudwego/eino/components/tool/graphtool"
)

func main() {
    ctx := context.Background()

    chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })

    // 创建 Graph
    graph := compose.NewGraph[*Input, *Output]()
    // ... 添加节点和边

    // 将 Graph 转换为工具
    graphTool, _ := graphtool.NewInvokableGraphTool(
        graph,
        "data_pipeline",
        "Process and validate data",
    )

    // Agent 使用该工具
    agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
        ToolsConfig: adk.ToolsConfig{
            ToolsNodeConfig: compose.ToolsNodeConfig{
                Tools: []tool.BaseTool{graphTool},
            },
        },
    })

    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
    iter := runner.Query(ctx, "Process the data using the pipeline")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        // 处理事件
    }
}

6. 流式处理

处理流式输出：

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
)

func main() {
    ctx := context.Background()

    chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })

    agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
    })

    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})

    // 流式查询
    iter := runner.Query(ctx, "Write a long story")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }

        // 实时输出流式内容
        if event.Message != nil && event.Message.Content != "" {
            fmt.Print(event.Message.Content)
        }
    }
}

7. 回调处理

添加日志、追踪、指标：

packag