DSLリファレンス

Args(func() {
    Attribute("query", String, "Search query")
    Attribute("limit", Int, "Maximum results", func() {
        Default(10)
    })
    Required("query")
})

Args(func() {
    Field(1, "query", String, "Search query")
    Field(2, "limit", Int, "Maximum results", func() {
        Default(10)
    })
    Required("query")
})

import (
    . "goa.design/goa/v3/dsl"
    . "goa.design/goa-ai/dsl"
)

package design

import (
    . "goa.design/goa/v3/dsl"
    . "goa.design/goa-ai/dsl"
)

var DocsToolset = Toolset("docs.search", func() {
    Tool("search", "Search indexed documentation", func() {
        Args(func() {
            Attribute("query", String, "Search phrase")
            Attribute("limit", Int, "Max results", func() { Default(5) })
            Required("query")
        })
        Return(func() {
            Attribute("documents", ArrayOf(String), "Matched snippets")
            Required("documents")
        })
        Tags("docs", "search")
    })
})

var AssistantSuite = Toolset(FromMCP("assistant", "assistant-mcp"))

var _ = Service("orchestrator", func() {
    Description("Human front door for the knowledge agent.")

    Agent("chat", "Conversational runner", func() {
        Use(DocsToolset)
        Use(AssistantSuite)
        Export("chat.tools", func() {
            Tool("summarize_status", "Produce operator-ready summaries", func() {
                Args(func() {
                    Attribute("prompt", String, "User instructions")
                    Required("prompt")
                })
                Return(func() {
                    Attribute("summary", String, "Assistant response")
                    Required("summary")
                })
                Tags("chat")
            })
        })
        RunPolicy(func() {
            DefaultCaps(
                MaxToolCalls(8),
                MaxConsecutiveFailedToolCalls(3),
            )
            TimeBudget("2m")
        })
    })
})

const (
    Search tools.Ident = "orchestrator.search.search"
)

var Specs = []tools.ToolSpec{
    { Name: Search, /* ... */ },
}

var Draft = Type("Draft", func() {
    Attribute("name", String, "Task name")
    Attribute("goal", String, "Outcome-style goal")
    Required("name", "goal")
})

var _ = Service("tasks", func() {
    Completion("draft_from_transcript", "Produce a task draft directly", func() {
        Return(Draft)
    })
})

var _ = Service("orchestrator", func() {
    Agent("chat", "Conversational runner", func() {
        Use(DocsToolset)
        Export("chat.tools", func() {
            // tools defined here
        })
        RunPolicy(func() {
            DefaultCaps(MaxToolCalls(8))
            TimeBudget("2m")
        })
    })
})

Agent("chat", "Conversational runner", func() {
    // Reference a top-level toolset
    Use(DocsToolset)

    // Reference with subsetting
    Use(CommonTools, func() {
        Tool("notify") // consume only this tool from CommonTools
    })

    // Reference an MCP toolset
    Use(AssistantSuite)

    // Inline agent-local toolset definition
    Use("helpers", func() {
        Tool("answer", "Answer a question", func() {
            // tool definition
        })
    })

    // Agent-as-tool composition
    Use(AgentToolset("service", "agent", "toolset"))
})

Agent("planner", "Planning agent", func() {
    Export("planning.tools", func() {
        Tool("create_plan", "Create a plan", func() {
            Args(func() {
                Attribute("goal", String, "Goal to plan for")
                Required("goal")
            })
            Return(func() {
                Attribute("plan", String, "Generated plan")
                Required("plan")
            })
        })
    })
})

// Agent A exports tools
Agent("planner", func() {
    Export("planning.tools", func() { /* tools */ })
})

// Agent B uses Agent A's tools
Agent("orchestrator", func() {
    Use(AgentToolset("service", "planner", "planning.tools"))
})

// Equivalent to Use(AgentToolset("service", "planner", "planning.tools"))
Agent("orchestrator", func() {
    UseAgentToolset("service", "planner", "planning.tools")
})

Export("logging-tools", func() {
    Tool("log_message", "Log a message", func() {
        Args(func() {
            Attribute("message", String, "Message to log")
            Required("message")
        })
        Return(func() {
            Attribute("logged", Boolean, "Whether the message was logged")
        })
        Passthrough("log_message", "LoggingService", "LogMessage")
    })
})

var _ = API("orchestrator", func() {
    DisableAgentDocs()
})

var DocsToolset = Toolset("docs.search", func() {
    Description("Tools for searching documentation")
    Tool("search", "Search indexed documentation", func() {
        Args(func() {
            Attribute("query", String, "Search phrase")
            Required("query")
        })
        Return(func() {
            Attribute("documents", ArrayOf(String), "Matched snippets")
            Required("documents")
        })
    })
})

var DataToolset = Toolset("data-tools", func() {
    Description("Tools for data processing and analysis")
    Tool("analyze", "Analyze dataset", func() {
        Args(func() {
            Attribute("dataset_id", String, "Dataset identifier")
            Required("dataset_id")
        })
        Return(func() {
            Attribute("insights", ArrayOf(String), "Analysis insights")
            Required("insights")
        })
    })
})

Tool("search", "Search indexed documentation", func() {
    Title("Document Search")
    Args(func() {
        Attribute("query", String, "Search phrase")
        Attribute("limit", Int, "Max results", func() { Default(5) })
        Required("query")
    })
    Return(func() {
        Attribute("documents", ArrayOf(String), "Matched snippets")
        Required("documents")
    })
    CallHintTemplate("Searching for: {{ .Query }}")
    ResultHintTemplate("Found {{ len .Result.Documents }} documents")
    Tags("docs", "search")
})

Tool("search", "Search documentation", func() {
    Args(func() {
        Attribute("query", String, "Search phrase")
        Attribute("limit", Int, "Max results", func() {
            Default(5)
            Minimum(1)
            Maximum(100)
        })
        Required("query")
    })
    Return(func() {
        Attribute("documents", ArrayOf(String), "Matched snippets")
        Attribute("count", Int, "Number of results")
        Required("documents", "count")
    })
})

var SearchParams = Type("SearchParams", func() {
    Attribute("query", String)
    Attribute("limit", Int)
    Required("query")
})

Tool("search", "Search documents", func() {
    Args(SearchParams)
    Return(func() {
        Attribute("results", ArrayOf(String))
    })
})

ServerData("atlas.time_series.chart_points", TimeSeriesServerData, func() {
    AudienceInternal()
    FromMethodResultField("chart_sidecar")
})

ServerData("aura.evidence", ArrayOf(Evidence), func() {
    AudienceEvidence()
    FromMethodResultField("evidence")
})

Tool("get_time_series", "Get time series data", func() {
    Args(func() {
        Attribute("device_id", String, "Device identifier")
        Attribute("start_time", String, "Start timestamp (RFC3339)")
        Attribute("end_time", String, "End timestamp (RFC3339)")
        Required("device_id", "start_time", "end_time")
    })
    Return(func() {
        Attribute("summary", String, "Summary for the model")
        Attribute("count", Int, "Number of data points")
        Attribute("min_value", Float64, "Minimum value in range")
        Attribute("max_value", Float64, "Maximum value in range")
        Required("summary", "count")
    })
    ServerData("atlas.time_series", func() {
        Attribute("data_points", ArrayOf(TimeSeriesPoint), "Full time series data")
        Attribute("metadata", MapOf(String, String), "Additional metadata")
        Required("data_points")
    })
})

var TimeSeriesServerData = Type("TimeSeriesServerData", func() {
    Attribute("data_points", ArrayOf(TimeSeriesPoint), "Full time series data")
    Attribute("unit", String, "Measurement unit")
    Attribute("resolution", String, "Data resolution (e.g., '1m', '5m', '1h')")
    Required("data_points")
})

Tool("get_metrics", "Get device metrics", func() {
    Args(func() {
        Attribute("device_id", String, "Device identifier")
        Required("device_id")
    })
    Return(func() {
        Attribute("summary", String, "Metrics summary for the model")
        Attribute("point_count", Int, "Number of data points")
        Required("summary", "point_count")
    })
    ServerData("atlas.metrics", TimeSeriesServerData)
})

// In a stream subscriber or result handler
func handleToolResult(result *planner.ToolResult) {
    if len(result.ServerData) > 0 {
        // Decode with the generated server-data codecs for this tool.
    }
}

Tool("list_devices", "List devices with pagination", func() {
    Args(func() {
        Attribute("site_id", String, "Site identifier")
        Attribute("cursor", String, "Opaque pagination cursor")
        Required("site_id")
    })
    Return(func() {
        Attribute("devices", ArrayOf(Device), "List of devices")
        Required("devices")
    })
    BoundedResult(func() {
        Cursor("cursor")
        NextCursor("next_cursor")
    })
})

result := &planner.ToolResult{
    Result: &ListDevicesResult{
        Devices: devices,
    },
    Bounds: &agent.Bounds{
        Returned:       len(devices),
        Total:          ptr(total),
        Truncated:      truncated,
        NextCursor:     nextCursor,
        RefinementHint: refinementHint,
    },
}

Tool("web_search", "Search the web", func() {
    Title("Web Search")
    Args(func() { /* ... */ })
})

Tool("dangerous_write", "Write a stateful change", func() {
    Args(DangerousWriteArgs)
    Return(DangerousWriteResult)
    Confirmation(func() {
        Title("Confirm change")
        PromptTemplate(`Approve write: set {{ .Key }} to {{ .Value }}`)
        DeniedResultTemplate(`{"summary":"Cancelled","key":"{{ .Key }}"}`)
    })
})

Tool("search", "Search documents", func() {
    Args(func() {
        Attribute("query", String, "Search phrase")
        Attribute("limit", Int, "Maximum results", func() { Default(10) })
        Required("query")
    })
    Return(func() {
        Attribute("count", Int, "Number of results found")
        Attribute("results", ArrayOf(String), "Matching documents")
        Required("count", "results")
    })
    CallHintTemplate("Searching for: {{ .Query }}")
    ResultHintTemplate("Found {{ .Result.Count }} results")
})

// DSL definition
Tool("get_device_status", "Get device status", func() {
    Args(func() {
        Attribute("device_id", String, "Device identifier")      // JSON: device_id
        Attribute("include_metrics", Boolean, "Include metrics") // JSON: include_metrics
        Required("device_id")
    })
    Return(func() {
        Attribute("device_name", String, "Device name")          // JSON: device_name
        Attribute("is_online", Boolean, "Online status")         // JSON: is_online
        Attribute("last_seen", String, "Last seen timestamp")    // JSON: last_seen
        Required("device_name", "is_online")
    })
    // Use Go field names (PascalCase), not JSON keys
    CallHintTemplate("Checking status of {{ .DeviceID }}")
    ResultHintTemplate("{{ .Result.DeviceName }}: {{ if .Result.IsOnline }}online{{ else }}offline{{ end }}")
})

Tool("list_items", "List items with optional filter", func() {
    Args(func() {
        Attribute("category", String, "Optional category filter")
        Attribute("limit", Int, "Maximum items", func() { Default(50) })
    })
    Return(func() {
        Attribute("items", ArrayOf(Item), "Matching items")
        Attribute("total", Int, "Total count")
        Attribute("truncated", Boolean, "Results were truncated")
        Required("items", "total")
    })
    CallHintTemplate("Listing items{{ with .Category }} in {{ . }}{{ end }}")
    ResultHintTemplate("{{ .Result.Total }} items{{ if .Result.Truncated }} (truncated){{ end }}")
})

Tool("analyze_data", "Analyze dataset", func() {
    Args(func() {
        Attribute("dataset_id", String, "Dataset identifier")
        Attribute("analysis_type", String, "Type of analysis", func() {
            Enum("summary", "detailed", "comparison")
        })
        Attribute("filters", ArrayOf(String), "Optional filters")
        Required("dataset_id", "analysis_type")
    })
    Return(func() {
        Attribute("insights", ArrayOf(String), "Analysis insights")
        Attribute("metrics", MapOf(String, Float64), "Computed metrics")
        Attribute("processing_time_ms", Int, "Processing time in milliseconds")
        Required("insights", "processing_time_ms")
    })
    CallHintTemplate("Analyzing {{ .DatasetID }} ({{ .AnalysisType }})")
    ResultHintTemplate("{{ count .Result.Insights }} insights in {{ .Result.ProcessingTimeMs }}ms")
})

Tool("get_time_series", "Get time series data", func() {
    Args(func() {
        Attribute("device_id", String, "Device identifier")
        Attribute("start_time", String, "Start timestamp")
        Attribute("end_time", String, "End timestamp")
        Required("device_id", "start_time", "end_time")
    })
    Return(func() {
        Attribute("series", ArrayOf(DataPoint), "Time series data points")
        Attribute("summary", String, "Summary for the model")
        Required("series", "summary")
    })
    ResultReminder("The user sees a rendered graph of this data in the UI.")
})

Tool("get_metrics", "Get device metrics", func() {
    Args(func() { /* ... */ })
    Return(func() { /* ... */ })
    ResultReminder("Metrics are displayed as a dashboard widget.")
})

Tool("get_alerts", "Get active alerts", func() {
    Args(func() { /* ... */ })
    Return(func() { /* ... */ })
    ResultReminder("Alerts are shown in a priority-sorted list with severity indicators.")
})

// In your planner implementation
func (p *MyPlanner) PlanResume(ctx context.Context, input *planner.PlanResumeInput) (*planner.PlanResult, error) {
    // Add a dynamic reminder based on tool results
    for _, tr := range input.ToolOutputs {
        if tr.Name == "get_time_series" && hasAnomalies(tr.Result) {
            input.Agent.AddReminder(reminder.Reminder{
                ID:   "anomaly_detected",
                Text: "Anomalies were detected in the time series. Highlight these to the user.",
                Priority: reminder.TierGuidance,
            })
        }
    }
    // ... rest of planner logic
}

Tool("delete_file", "Delete a file", func() {
    Args(func() { /* ... */ })
    Tags("filesystem", "write", "destructive")
})

var _ = Service("orchestrator", func() {
    Method("Search", func() {
        Payload(SearchPayload)
        Result(SearchResult)
    })

    Agent("chat", func() {
        Use("docs", func() {
            Tool("search", "Search documentation", func() {
                Args(SearchPayload)
                Return(SearchResult)
                BindTo("Search") // binds to method on same service
            })
        })
    })
})

Tool("get_data", "Get data for current session", func() {
    Args(func() {
        Attribute("session_id", String, "Current session ID")
        Attribute("query", String, "Data query")
        Required("session_id", "query")
    })
    Return(func() {
        Attribute("data", ArrayOf(String))
    })
    BindTo("data_service", "get")
    Inject("session_id") // hidden from LLM, populated by interceptor
})

func (h *Handler) Inject(ctx context.Context, payload any, meta *runtime.ToolCallMeta) error {
    if p, ok := payload.(*dataservice.GetPayload); ok {
        p.SessionID = meta.SessionID
    }
    return nil
}

Tool("commit_task", "タスクの終端アーティファクトをコミット", func() {
    Args(TaskCompletionArgs)
    Return(TaskCompletionResult)
    TerminalRun()
})

Tool("set_step_status", "ステップのステータスを更新", func() {
    Args(SetStepStatusArgs)
    Return(SetStepStatusResult)
    Bookkeeping()
})

Tool("commit_task", "タスクの終端アーティファクトをコミット", func() {
    Args(TaskCompletionArgs)
    Return(TaskCompletionResult)
    Bookkeeping()  // 予算が尽きても常に実行される
    TerminalRun()  // 成功するとランを原子的に終了する
})

Tool("set_step_status", "ステップのステータスを更新", func() {
    Args(SetStepStatusArgs)
    Return(TaskProgressSnapshot)
    Bookkeeping()
    PlannerVisible()
})

Agent("chat", "Conversational runner", func() {
    RunPolicy(func() {
        DefaultCaps(
            MaxToolCalls(8),
            MaxConsecutiveFailedToolCalls(3),
        )
        TimeBudget("2m")
        InterruptsAllowed(true)
        OnMissingFields("await_clarification")

        History(func() {
            KeepRecentTurns(20)
        })
    })
})

RunPolicy(func() {
    DefaultCaps(
        MaxToolCalls(8),
        MaxConsecutiveFailedToolCalls(3),
    )
})

RunPolicy(func() {
    TimeBudget("2m") // 2 minutes
})

RunPolicy(func() {
    Timing(func() {
        Budget("10m")   // overall wall-clock budget for the entire run
        Plan("45s")     // timeout for Plan/Resume activities (LLM inference)
        Tools("2m")     // default timeout for ExecuteTool activities
    })
})

Agent("data-processor", "Processes large datasets", func() {
    Use(DataToolset)
    RunPolicy(func() {
        DefaultCaps(MaxToolCalls(20))
        Timing(func() {
            Budget("30m")   // long-running data jobs
            Plan("1m")      // LLM decisions should be quick
            Tools("5m")     // data operations may take time
        })
    })
})

RunPolicy(func() {
    Cache(func() {
        AfterSystem()  // checkpoint after system messages
        AfterTools()   // checkpoint after tool definitions
    })
})

Agent("assistant", "Conversational assistant", func() {
    Use(DocsToolset)
    Use(SearchToolset)
    RunPolicy(func() {
        DefaultCaps(MaxToolCalls(10))
        TimeBudget("5m")
        Cache(func() {
            AfterSystem()  // cache the system prompt
            AfterTools()   // cache tool definitions (Claude only)
        })
    })
})

RunPolicy(func() {
    History(func() {
        KeepRecentTurns(20) // Keep the last 20 user/assistant turns
    })
})

RunPolicy(func() {
    History(func() {
        // When at least 30 turns exist, summarize older turns
        // and keep the most recent 10 in full fidelity
        Compress(30, 10)
    })
})

// Generated agent config includes HistoryModel field when Compress is used
cfg := chat.ChatAgentConfig{
    Planner:      &ChatPlanner{},
    HistoryModel: smallModelClient, // Required: implements model.Client
}
if err := chat.RegisterChatAgent(ctx, rt, cfg); err != nil {
    log.Fatal(err)
}

RunPolicy(func() {
    // Enable pause/resume capability
    InterruptsAllowed(true)

    // Automatically pause when required tool arguments are missing
    OnMissingFields("await_clarification")
})

RunPolicy(func() {
    OnMissingFields("await_clarification")
})

Agent("chat", "Conversational runner", func() {
    RunPolicy(func() {
        DefaultCaps(
            MaxToolCalls(8),
            MaxConsecutiveFailedToolCalls(3),
        )
        Timing(func() {
            Budget("5m")
            Plan("30s")
            Tools("1m")
        })
        InterruptsAllowed(true)
        OnMissingFields("await_clarification")
        History(func() {
            Compress(30, 10)
        })
    })
})

Service("calculator", func() {
    Description("Calculator MCP server")

    // MCP を使う例
    MCP("calc", "1.0.0", ProtocolVersion("2025-06-18"))

    Method("add", func() {
        Payload(func() {
            Attribute("a", Int, "First number")
            Attribute("b", Int, "Second number")
            Required("a", "b")
        })
        Result(func() {
            Attribute("sum", Int, "Result of addition")
            Required("sum")
        })
        Tool("add", "Add two numbers")
    })
})

Service("calculator", func() {
    // Specify protocol version as an option
    MCP("calc", "1.0.0", ProtocolVersion("2025-06-18"))
})

Method("search", func() {
    Payload(func() {
        Attribute("query", String, "Search query")
        Attribute("limit", Int, "Maximum results", func() { Default(10) })
        Required("query")
    })
    Result(func() {
        Attribute("results", ArrayOf(String), "Search results")
        Required("results")
    })
    Tool("search", "Search documents by query")
})

var AssistantSuite = Toolset(FromMCP("assistant", "assistant-mcp"))

var _ = Service("orchestrator", func() {
    Agent("chat", func() {
        Use(AssistantSuite)
    })
})

var RemoteSearch = Toolset("remote-search", FromExternalMCP("remote", "search"), func() {
    Tool("web_search", "Search the web", func() {
        Args(func() { Attribute("query", String) })
        Return(func() { Attribute("results", ArrayOf(String)) })
    })
})

Agent("helper", "", func() {
    Use(RemoteSearch)
})

Method("readme", func() {
    Result(String)
    Resource("readme", "file:///docs/README.md", "text/markdown")
})

Method("system_status", func() {
    Result(func() {
        Attribute("status", String, "Current system status")
        Attribute("uptime", Int, "Uptime in seconds")
        Required("status", "uptime")
    })
    WatchableResource("status", "status://system", "application/json")
})

Service("assistant", func() {
    MCP("assistant", "1.0")

    // Static prompt
    StaticPrompt("greeting", "Friendly greeting",
        "system", "You are a helpful assistant",
        "user", "Hello!")

    // Dynamic prompt
    Method("code_review", func() {
        Payload(func() {
            Attribute("language", String, "Programming language")
            Attribute("code", String, "Code to review")
            Required("language", "code")
        })
        Result(ArrayOf(Message))
        DynamicPrompt("code_review", "Generate code review prompt")
    })
})