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