Firebase Vertex AI integration for the Koog Agent Framework.

• Kotlin Multiplatform support (Android, iOS)
• Firebase AI (Google AI / Vertex AI) backend integration
• Seamless integration with Koog agents
• Pre-configured Gemini model definitions
• Streaming response support
• Function calling (tool) support

Add to your libs.versions.toml:

[versions]
koog-firebase = "0.7.0"

[libraries]
koog-firebase = { module = "dev.ynagai.koog:koog-firebase", version.ref = "koog-firebase" }

Then in your build.gradle.kts:

dependencies {
    implementation(libs.koog.firebase)
}

dependencies {
    implementation("dev.ynagai.koog:koog-firebase:0.7.0")
}

import ai.koog.agents.core.agent.AIAgent
import dev.ynagai.koog.firebase.FirebaseModels
import dev.ynagai.koog.firebase.simpleFirebaseExecutor

val agent = AIAgent(
    promptExecutor = simpleFirebaseExecutor(),
    systemPrompt = "You are a helpful assistant.",
    llmModel = FirebaseModels.Gemini3_7Flash
)

val result = agent.run("Hello!")

import dev.ynagai.firebase.Firebase
import dev.ynagai.firebase.ai.GenerativeBackend
import dev.ynagai.koog.firebase.simpleFirebaseExecutor

// Use Vertex AI backend.
// Gemini 3.x models are only available in the "global" location; vertexAI()
// defaults to "us-central1", which will 404 for those models.
val executor = simpleFirebaseExecutor(
    app = Firebase.app,
    backend = GenerativeBackend.vertexAI("global")
)

• Kotlin 2.1+
• Firebase project with AI enabled
• Android API 24+ / iOS 13+

Copyright 2025 Yuki Nagai

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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limitations under the License.