AgentOS for Copilot

User: @agentos create agent for processing customer feedback from Slack

AgentOS: 🤖 Agent Created: CustomerFeedbackProcessingAgent

Processing customer feedback from Slack

### Tasks
- Read data from Slack API
- Analyze and process data
- Send results to Database

### 🛡️ Safety Policies Applied
✅ API Rate Limiting (rate_limit): Limits API calls to prevent quota exhaustion
✅ PII Protection (data_privacy): Redacts personally identifiable information
✅ Authentication Required (auth): Requires valid API token
✅ Audit Logging (logging): Logs all agent actions for audit trail

### Generated Code (Python)
```python
from agent_os import KernelSpace
from agent_os.integrations import create_safe_toolkit

kernel = KernelSpace(policy="strict")
toolkit = create_safe_toolkit("standard")

SLACK_TOKEN = os.environ.get("SLACK_TOKEN")

@kernel.register
async def customer_feedback_processing_agent(task: str):
    results = {"status": "success", "timestamp": datetime.utcnow().isoformat()}
    
    data = await fetch_from_slack_api()
    processed = await process_data(data)
    await send_to_database(processed)
    
    return results
```

[🚀 Deploy to GitHub Actions] [🧪 Test Agent] [📋 Copy Code]

User: @agentos templates devops

AgentOS: 📚 Agent Templates

Found 10 templates in devops

### Categories
- data-processing (10): ETL, data cleaning, file processing
- customer-support (5): Ticket routing, sentiment analysis
- devops (10): Deployment, monitoring, incident response
- content-management (5): Moderation, SEO, social media
- business-intelligence (5): Dashboards, KPIs, anomaly detection
- security (5): Access audits, compliance, scanning
- integration (5): API connectors, webhooks
- automation (5): Workflows, notifications, cleanup

### Templates

#### Deployment Automation Agent
🔴 advanced | ⏱️ 30 minutes
Automates deployment workflows with rollback capabilities and notifications.

#### Uptime Monitoring Agent
🟢 beginner | ⏱️ 10 minutes
Monitors API endpoints and websites for uptime with alerting.

#### Log Analysis Agent
🟡 intermediate | ⏱️ 20 minutes
Analyzes application logs to detect errors, anomalies, and patterns.

#### Incident Response Agent
🔴 advanced | ⏱️ 30 minutes
Coordinates incident response with automated runbooks and communication.

#### Security Scanning Agent
🟡 intermediate | ⏱️ 15 minutes
Scans code and dependencies for security vulnerabilities.

User: @agentos compliance gdpr

AgentOS: 📋 GDPR Standard Compliance

Framework: GDPR | Version: 2.0

Ensures compliance with EU General Data Protection Regulation for 
processing personal data of EU residents.

### Data Handling Requirements
| Requirement       | Value           |
|-------------------|-----------------|
| PII Redaction     | ✅ Required     |
| Encryption        | ✅ Required     |
| Retention         | 365 days        |
| Consent Required  | ✅ Yes          |

### Key Controls (6 total)
- Purpose Limitation: Process data only for specified purposes
- Consent Management: Track and verify user consent
- Right to Access: Provide data access on request
- Right to Erasure: Delete data on request
- Data Minimization: Collect only necessary data
- Encryption: Encrypt personal data

### Compliance Check
Score: 🟢 85/100
Status: ✅ Compliant

### Recommendations
- Add comprehensive audit logging
- Implement encryption for sensitive data

[Generate Policy YAML] [Fix Violations]

User: @agentos deploy

AgentOS: 🚀 Deploy CustomerFeedbackProcessingAgent

### Files to Create
- `agents/customer_feedback_processing_agent.py`
- `.github/workflows/customer-feedback-processing-agent.yml`
- `policies/customer-feedback-processing-agent.yaml`
- `tests/test_customer_feedback_processing_agent.py`

### GitHub Actions Workflow
```yaml
name: Customer Feedback Processing Agent

on:
  schedule:
    - cron: '0 9 * * *'  # Daily at 9am
  workflow_dispatch:

jobs:
  run-agent:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.11'
      - name: Run Agent
        uses: agentos/run-agent@v1
        env:
          SLACK_TOKEN: ${{ secrets.SLACK_TOKEN }}
          DATABASE_URL: ${{ secrets.DATABASE_URL }}
```

### Required Secrets
- `SLACK_TOKEN` - Bot token from Slack app
- `DATABASE_URL` - Database connection string

[Create Pull Request] [Copy Files] [Configure Secrets]