基于图的智能体工作流¶

// cityTime holds the data passed from the lookup step to the report step.
type cityTime struct {
    City     string
    TimeInfo string
}

// newSequentialGetStarted builds a three-node sequential workflow using the
// v2 graph engine. Each node is a workflow.NewFunctionNode whose return value
// is automatically wrapped in session.Event.Output and forwarded to the next
// node as its typed input.
//
// This is the Go equivalent of the Python Workflow example:
//
//  root_agent = Workflow(
//      name="root_agent",
//      edges=[("START", city_generator_agent, lookup_time_function,
//               city_report_agent, completed_message_function)],
//  )
func newSequentialGetStarted() (agent.Agent, error) {
    // Step 1: return a city name. The string is set as event.Output and
    // becomes the typed input of the next node.
    cityGeneratorNode := workflow.NewFunctionNode("city_generator_agent",
        func(_ agent.Context, _ any) (string, error) {
            return "Tokyo", nil
        },
        workflow.NodeConfig{},
    )

    // Step 2: receive the city name and return structured time data.
    lookupTimeNode := workflow.NewFunctionNode("lookup_time_function",
        func(_ agent.Context, city string) (cityTime, error) {
            return cityTime{City: city, TimeInfo: "10:10 AM"}, nil
        },
        workflow.NodeConfig{},
    )

    // Step 3: receive the cityTime struct and produce the final report string.
    cityReportNode := workflow.NewFunctionNode("city_report_agent",
        func(_ agent.Context, ct cityTime) (string, error) {
            return fmt.Sprintf("It is %s in %s right now.\nWORKFLOW COMPLETED.",
                ct.TimeInfo, ct.City), nil
        },
        workflow.NodeConfig{},
    )

    // workflow.Chain wires START → cityGeneratorNode → lookupTimeNode → cityReportNode.
    // Data flows through event.Output: no session state writes needed.
    return workflowagent.New(workflowagent.Config{
        Name:        "root_agent",
        Description: "Sequential workflow: generate city → look up time → report.",
        Edges:       workflow.Chain(workflow.Start, cityGeneratorNode, lookupTimeNode, cityReportNode),
    })
}

// classifyMessage is the router node. It emits ev.Routes to select which
// branch to follow — the Go equivalent of Python's:
//
//  def router(node_input: str):
//      return Event(route=["BUG"])
func classifyMessage(ctx agent.Context, msg string, emit func(*session.Event) error) (any, error) {
    // In a real workflow this step calls an LLM; here we classify by keyword.
    category := "LOGISTICS"
    lower := strings.ToLower(msg)
    switch {
    case strings.Contains(lower, "bug") || strings.Contains(lower, "error"):
        category = "BUG"
    case strings.Contains(lower, "help") || strings.Contains(lower, "support"):
        category = "CUSTOMER_SUPPORT"
    }

    ev := session.NewEvent(ctx, ctx.InvocationID())
    ev.Routes = []string{category} // drives edge dispatch
    ev.Output = msg                // forward original message to the chosen handler
    if err := emit(ev); err != nil {
        return nil, err
    }
    return nil, nil // nil suppresses the automatic terminal event
}

// newProcessPipeline builds a classification + conditional-routing workflow
// using the v2 graph engine. The classifyMessage emitting node sets
// ev.Routes, and the graph engine dispatches to the matching handler via
// workflow.StringRoute.
//
// This is the Go equivalent of the Python Workflow example:
//
//  root_agent = Workflow(
//      name="routing_workflow",
//      edges=[
//          ("START", process_message, router),
//          (router, {
//              "BUG": response_1_bug,
//              "CUSTOMER_SUPPORT": response_2_support,
//              "LOGISTICS": response_3_logistics,
//          }),
//      ],
//  )
func newProcessPipeline() (agent.Agent, error) {
    classifyNode := workflow.NewEmittingFunctionNode(
        "process_message", classifyMessage, workflow.NodeConfig{},
    )

    bugNode := workflow.NewFunctionNode("response_1_bug",
        func(_ agent.Context, _ any) (string, error) {
            return "Handling bug...", nil
        },
        workflow.NodeConfig{},
    )

    supportNode := workflow.NewFunctionNode("response_2_support",
        func(_ agent.Context, _ any) (string, error) {
            return "Handling customer support...", nil
        },
        workflow.NodeConfig{},
    )

    logisticsNode := workflow.NewFunctionNode("response_3_logistics",
        func(_ agent.Context, _ any) (string, error) {
            return "Handling logistics...", nil
        },
        workflow.NodeConfig{},
    )

    // workflow.Concat merges the sequential chain with the conditional edges.
    // Each workflow.Edge carries a workflow.StringRoute matcher that the engine
    // checks against ev.Routes emitted by classifyNode.
    edges := workflow.Concat(
        workflow.Chain(workflow.Start, classifyNode),
        []workflow.Edge{
            {From: classifyNode, To: bugNode, Route: workflow.StringRoute("BUG")},
            {From: classifyNode, To: supportNode, Route: workflow.StringRoute("CUSTOMER_SUPPORT")},
            {From: classifyNode, To: logisticsNode, Route: workflow.StringRoute("LOGISTICS")},
        },
    )

    return workflowagent.New(workflowagent.Config{
        Name:        "routing_workflow",
        Description: "Classifies a message and routes it to the appropriate handler.",
        Edges:       edges,
    })
}