## [AG2 Event Logging: Standardized Observability with Python Logging](https://docs.ag2.ai/0.10.3/docs/blog/2025/12/23/Ag2-logging-events/)

AG2 now integrates with Python's standard `logging` module for event output, giving you full control over how agent events are captured, formatted, and processed. This integration brings enterprise-grade observability directly into your agent workflows.

This article explores how to configure and customize AG2 event logging, with practical examples for testing, monitoring, and production deployments.

### [What is AG2 Event Logging?](https://docs.ag2.ai/0.10.3/docs/blog/2025/12/23/Ag2-logging-events/#what-is-ag2-event-logging)

AG2 event logging provides a standardized way to capture and process events from agent interactions. All event output flows through the `ag2.event.processor` logger, which uses Python's standard `logging` module under the hood.

**Key Features:**

- **Standard Python Logging**: Leverages the familiar `logging` module you already know
- **Centralized Configuration**: Configure once at application startup, affects all AG2 components
- **Flexible Handlers**: Use any Python logging handler (file, stream, HTTP, database, etc.)
- **Custom Formatters**: Structure output as JSON, plain text, or any custom format
- **Powerful Filters**: Selectively log events based on content, level, or custom criteria
- **Backwards Compatible**: Default behavior unchanged if no custom configuration is provided

**Why This Matters:**

Traditional logging approaches often require custom integration code for each component. AG2's event logging provides a unified interface that works consistently across all agent types, conversation patterns, and execution modes. Whether you're debugging a single-agent workflow or monitoring a complex multi-agent system, the same logging configuration applies.

**When to Use Custom Event Logging:**

Use custom event logging when you need:  
- **Testing and Validation**: Capture event output to verify agent behavior in automated tests  
- **Production Monitoring**: Send events to monitoring systems, log aggregation services, or databases  
- **Debugging**: Filter and format events to focus on specific issues or agent interactions  
- **Compliance and Auditing**: Maintain detailed logs of agent decisions and actions  
- **Performance Analysis**: Track event timing and frequency for optimization

Don't use custom logging for simple development workflows—the default console output is sufficient for that.