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* updated README.md file with bearer token generation * updated README.md file with bearer token generation-removed client id and secret credentials * removed hardcoded domain * added agent runtime, frontend, observability and agentcore identity * update README.md file to reflect frontend testing
93 lines
3.0 KiB
Markdown
93 lines
3.0 KiB
Markdown
# Agent Runtime Module
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This module contains the agent runtime components for the Device Management system. The agent runtime is responsible for handling the communication between the frontend and the backend services.
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## Components
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- `strands-agent-runtime.py`: Main agent runtime implementation
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- `strands_agent_runtime_deploy.py`: Deployment script for the agent runtime
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- `device_management_agent_exec.py`: Agent execution logic for device management
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- `utils.py`: Utility functions used by the agent runtime
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- `requirements-runtime.txt`: Python dependencies for the agent runtime
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- `Dockerfile`: Container definition for the agent runtime with observability configuration
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## Setup
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1. Create a `.env` file in this directory with the following variables:
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```
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# AWS configuration
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AWS_REGION=us-west-2
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# Agent runtime configuration
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MCP_SERVER_URL=https://your-gateway-id.gateway.bedrock-agentcore.us-west-2.amazonaws.com
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COGNITO_DOMAIN=your-cognito-domain.auth.us-west-2.amazoncognito.com
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COGNITO_CLIENT_ID=your-cognito-client-id
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COGNITO_CLIENT_SECRET=your-cognito-client-secret
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```
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2. Install the required Python packages:
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```bash
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pip install -r requirements-runtime.txt
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```
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## Deployment
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You can deploy the agent runtime using the provided deployment script:
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```bash
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python strands_agent_runtime_deploy.py
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```
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## Running the Agent Runtime
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To run the agent runtime locally:
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```bash
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python strands-agent-runtime.py
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```
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## Observability
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The agent runtime includes comprehensive observability features:
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### CloudWatch Logs
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Logs from the agent runtime are sent to CloudWatch Logs in the `/aws/bedrock-agentcore/device-management-agent` log group. These logs include:
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- Request and response information
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- Error details
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- Performance metrics
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### AWS X-Ray Traces
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X-Ray tracing is enabled for the agent runtime, allowing you to:
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- Track request flows through the system
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- Identify performance bottlenecks
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- Troubleshoot errors
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### Custom Metrics
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Custom metrics are published to CloudWatch Metrics, including:
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- Request counts
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- Error counts
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- Response times
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### Observability Configuration
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Observability is configured in the following files:
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- `.bedrock_agentcore.yaml`: Contains the observability configuration for the agent runtime
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- `Dockerfile`: Includes the installation of AWS OpenTelemetry Distro for GenAI
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- `strands-agent-runtime.py`: Implements logging and tracing
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To view observability data:
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- CloudWatch Logs: https://console.aws.amazon.com/cloudwatch/home?region=us-west-2#logsV2:log-groups
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- X-Ray Traces: https://console.aws.amazon.com/xray/home?region=us-west-2#/traces
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- CloudWatch Metrics: https://console.aws.amazon.com/cloudwatch/home?region=us-west-2#metricsV2:graph
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## Integration with Other Modules
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- **Gateway Module**: The agent runtime communicates with the gateway to access the MCP server tools.
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- **Device Management Module**: The agent runtime uses the Lambda function exposed through the gateway to perform device management operations.
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- **Frontend Module**: The frontend communicates with the agent runtime to access the device management functionality.
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