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# Application Configuration (App)
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## Overview
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This sample demonstrates how to configure an `App` in ADK. An `App` serves as the top-level container for an agentic system, wrapping a root agent or workflow and providing application-wide configurations such as plugins, event compaction, and context caching.
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## Sample Inputs
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- `Hello, who are you?`
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*The application executes `greeter_agent`. The `CountInvocationPlugin` logs the agent and LLM run counts to the console.*
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- `Can you help me plan a trip?`
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*As the conversation continues, event compaction automatically summarizes past turns every 2 invocations, while context caching optimizes token usage.*
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## Graph
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```mermaid
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graph TD
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User[User Input] --> AppContainer[App: app]
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subgraph AppContainer [App Container]
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Plugins[Plugins: CountInvocation, SaveFilesAsArtifacts] --> GreeterAgent[root_agent: greeter_agent]
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GreeterAgent --> Configs[Configs: EventCompaction, ContextCache]
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end
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AppContainer --> Response[User Response]
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```
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## How To
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### Wrapping an Agent in an App
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To configure application-level behaviors, instantiate an `App` object and pass your root agent to the `root_agent` parameter:
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```python
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from google.adk import Agent
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from google.adk.apps.app import App
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root_agent = Agent(
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name="greeter_agent",
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instruction="You are a friendly assistant.",
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)
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app = App(
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name="app",
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root_agent=root_agent,
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)
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```
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### Configuring Application Plugins
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Plugins provide cross-cutting capabilities (such as telemetry, custom logging, or artifact saving) across the entire application. Pass a list of plugin instances to `plugins`:
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```python
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from google.adk.plugins.save_files_as_artifacts_plugin import SaveFilesAsArtifactsPlugin
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app = App(
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name="app",
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root_agent=root_agent,
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plugins=[
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CountInvocationPlugin(),
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SaveFilesAsArtifactsPlugin(),
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],
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)
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```
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### Configuring Event Compaction and Caching
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The `App` container is also where you define long-term session behavior and optimization strategies:
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- **`events_compaction_config`**: Manages token usage by periodically summarizing older turns in a session.
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- **`context_cache_config`**: Enables prompt caching across invocations to reduce latency and cost.
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```python
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from google.adk.apps.app import EventsCompactionConfig
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from google.adk.agents.context_cache_config import ContextCacheConfig
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app = App(
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name="app",
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root_agent=root_agent,
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events_compaction_config=EventsCompactionConfig(
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compaction_interval=2,
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overlap_size=1,
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),
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context_cache_config=ContextCacheConfig(
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cache_intervals=10,
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ttl_seconds=1800,
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min_tokens=1000,
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),
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)
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```
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