What Google's ADK for Kotlin 1.0 Means for Beginners Building AI Agents

Google has released the Agent Development Kit (ADK) for Kotlin 1.0, a toolkit designed to help developers build AI agents for Android and server-side applications. For beginners, this means a more accessible way to create production-ready AI tools without needing deep expertise in AI or complex coding.

What is ADK for Kotlin?

ADK for Kotlin is a framework that allows developers to build AI agents using Kotlin, a popular programming language for Android development. The toolkit is designed to be idiomatic, lightweight, and composable, making it easier for developers to integrate AI capabilities into their applications.

The 1.0 release brings full feature parity with ADK Core, which means it now supports advanced multi-agent coordination patterns, context management, and human-in-the-loop workflows. This makes it a powerful tool for both Android and server-side Kotlin developers.

Key Features of ADK for Kotlin 1.0

ADK for Kotlin 1.0 introduces several features that simplify the development of AI agents:

• Hierarchical Multi-Agent Systems: Chain agents and delegate tasks to specialized child agents.
• Context Compaction & Multi-turn Conversations: Manage context by summarizing history to stay within token limits.
• Human-in-the-Loop (HITL) & Confirmation Flows: Pause execution, request user confirmation for sensitive actions, and resume execution.
• Long-running & Annotation-based Tools: Automatically generate schemas for tools written in Kotlin using @Tool and @Param annotations.
• Session Resumability: Pause, serialize, and restore active agent interactions across user sessions.

These features make it easier for beginners to build complex AI agents without needing to understand the underlying complexities.

Building an Incident Triage Agent

One practical example of using ADK for Kotlin is building an incident triage and diagnostics agent. This agent can investigate production database alerts by leveraging function calling and agent skill capabilities.

Tools and Skills

In ADK for Kotlin, tools are executable, type-safe capabilities that can call APIs, query metrics, or perform actions. Skills, on the other hand, are on-demand procedural knowledge and domain playbooks loaded dynamically via progressive disclosure.

For example, you can define a service using Kotlin data classes:

data class ServiceMetrics(
    val serviceName: String,
    val cpuUsagePercent: Double,
    val connectionPoolUsagePercent: Double,
    val activeConnections: Int,
    val maxConnections: Int,
    val p99LatencyMs: Int,
    val errorRatePercent: Double,
)

And functions annotated with @Tool and @Param:

class InfrastructureDiagnosticsService {

    @Tool
    suspend fun getServiceMetrics(
        @Param("Target service or database cluster") serviceName: String,
        @Param("Time window in minutes") windowMinutes: Int? = 15,
    ): ServiceMetrics {
        // Query monitoring backends (Datadog, Prometheus, Cloud Monitoring)
        return ServiceMetrics(
            serviceName = serviceName,
            cpuUsagePercent = 91.4,
            connectionPoolUsagePercent = 98.5,
            activeConnections = 492,
            maxConnections = 500,
            p99LatencyMs = 2450,
            errorRatePercent = 4.2,
        )
    }
}

Running the Agent

Once the agent is ready, you can execute it using Kotlin Coroutines and InMemoryRunner:

fun main() = runBlocking {
    val runner = InMemoryRunner(
        agent = IncidentTriageDemoAgent.rootAgent, 
        appName = "IncidentTriageApp"
    )

    val alert = "ALERT [P1]: Database latency spike detected on 'users-postgres-cluster'! " +
                "Active connections are surging and queries are timing out."

    val events = runner.runAsync(
        userId = "oncall-sre",
        sessionId = UUID.randomUUID().toString(),
        newMessage = Content.fromText(Role.USER, alert)
    ).toList()

    for (event in events) {
        event.content?.parts?.firstOrNull()?.text?.let { println("Agent: $it") }
    }
}

When the alert fires, the agent executes autonomously, diagnosing the issue and presenting a post-triage report.

Android-first and On-device Extensions

ADK for Kotlin 1.0 also introduces modular implementations for standard Android architecture components, making it easier to build AI agents for mobile applications.

Example: Financial Assistant

A financial assistant powered by Gemini 3.8 Flash via Firebase AI can handle sensitive transactions requiring explicit user approval. Here’s how you can define the bank transfer tools:

class BankTransferTools {
    @Tool(
        name = "transferFunds",
        description = "Transfers money to another account. Requires explicit user approval.",
        requireConfirmation = true
    )
    fun transferFunds(
        @Param("Recipient account ID") recipientId: String,
        @Param("Amount in USD") amount: Double
    ): String {
        println(">>> [BANKING CORE] Executing transfer of \$$amount to $recipientId...")
        return "Successfully scheduled transfer of \$$amount to $recipientId. Ref: TX-${System.currentTimeMillis()}"
    }
}

And configure the agent:

fun createFinancialAgent(): LlmAgent {
    val firebaseAi = FirebaseAI.getInstance(FirebaseApp.getInstance())
    return LlmAgent(
        name = "FinancialAgent",
        description = "Handles banking inquiries and scheduled fund transfers",
        model = Firebase.create("gemini-3.8-flash", firebaseAi),
        instruction = Instruction(
            "You are a secure banking assistant. Help users manage their accounts and transfer funds."
        ),
        tools = BankTransferTools().generatedTools()
    )
}

With ADK for Kotlin, you can build AI agents that are both powerful and user-friendly, making it an excellent choice for beginners looking to integrate AI into their applications.

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