eino-agent（埃诺 Agent）

Eino ADK Overview

Import: github.com/cloudwego/eino/adk

The Agent Development Kit (ADK) provides a framework for building agents in Go. Core interface:

type Agent interface {
    Name(ctx context.Context) string
    Description(ctx context.Context) string
    Run(ctx context.Context, input *AgentInput, opts ...AgentRunOption) *AsyncIterator[*AgentEvent]
}

Agent Types

ChatModelAgent Quick Start

import (
    "context"
    "fmt"
    "log"

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

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

    // 1. Create a tool
    searchTool, _ := utils.InferTool("search_book", "Search books by genre",
        func(ctx context.Context, input *struct {
            Genre string `json:"genre" jsonschema_description:"Book genre"`
        }) (string, error) {
            return `{"books": ["The Great Gatsby"]}`, nil
        })

    // 2. Create model
    cm, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        APIKey: "your-key", Model: "gpt-4o",
    })

    // 3. Create agent
    agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Name:        "BookRecommender",
        Description: "Recommends books",
        Instruction: "You recommend books using the search_book tool.",
        Model:       cm,
        ToolsConfig: adk.ToolsConfig{
            ToolsNodeConfig: compose.ToolsNodeConfig{
                Tools: []tool.BaseTool{searchTool},
            },
        },
    })

    // 4. Run with Runner
    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
    iter := runner.Query(ctx, "recommend a fiction book")
    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        if event.Err != nil {
            log.Fatal(event.Err)
        }
        msg, _ := event.Output.MessageOutput.GetMessage()
        fmt.Printf("Agent[%s]: %v\n", event.AgentName, msg)
    }
}

Runner

The Runner manages agent lifecycle, context passing, and interrupt/resume:

runner := adk.NewRunner(ctx, adk.RunnerConfig{
    Agent:           myAgent,
    EnableStreaming:  true,
    CheckPointStore: myStore,  // for interrupt/resume
})

// Query (convenience for single user message)
iter := runner.Query(ctx, "hello")

// Run (full control over input messages)
iter := runner.Run(ctx, []adk.Message{schema.UserMessage("hello")})

Middleware System

Middleware extends ChatModelAgent behavior. Configure via Handlers field:

agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
    // ...
    Handlers: []adk.ChatModelAgentMiddleware{fsMiddleware, summarizationMW},
})

Seven built-in middleware types (see reference/middleware.md for details):

AgentAsTool

Wrap any Agent as a Tool for use by another agent:

subAgent := createMySubAgent()
agentTool := adk.NewAgentTool(ctx, subAgent)

parentAgent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
    ToolsConfig: adk.ToolsConfig{
        ToolsNodeConfig: compose.ToolsNodeConfig{
            Tools: []tool.BaseTool{agentTool},
        },
    },
})

Human-in-the-Loop

ChatModelAgent supports interrupt and resume for human approval, clarification, and feedback. See reference/human-in-the-loop.md for details.

Key pattern: tool returns compose.NewInterruptAndRerunErr(info) to pause, then runner.ResumeWithParams(ctx, checkpointID, params) to continue.

Instructions to Agent

• Default to ChatModelAgent for most use cases (single agent with tools)
• Use Runner to execute agents -- never call agent.Run() directly in production
• Middleware order matters: PatchToolCalls first, then Reduction, then Summarization
• Use DeepAgent (adk/prebuilt/deep) when you need built-in planning + filesystem + sub-agents
• Use AgentAsTool or DeepAgents' SubAgents when a sub-agent needs isolated context (no shared history)

Reference Files

Read these files on-demand for detailed API, examples, and advanced usage:

• reference/chat-model-agent.md -- ChatModelAgentConfig reference, ReAct pattern, ToolsConfig, streaming example
• reference/deep-agents.md -- DeepAgent concept, config, architecture, comparison with ChatModelAgent
• reference/middleware.md -- All 7 middleware types with interface, config, and examples
• reference/runner-and-events.md -- Runner creation, AgentEvent/AgentOutput, event iteration patterns
• reference/agent-as-tool.md -- Wrapping an Agent as a Tool for use by another agent
• reference/human-in-the-loop.md -- Interrupt APIs, ResumableAgent, CheckPointStore, resume patterns
• reference/filesystem.md -- Filesystem Backend interface, Local and AgentKit implementations, usage with DeepAgent