Hierarchical Workflow Example

export SWARMS_API_KEY="your-api-key-here"

import requests
import os

API_BASE_URL = "https://api.swarms.world"
API_KEY = os.environ.get("SWARMS_API_KEY", "your_api_key_here")

headers = {
    "x-api-key": API_KEY,
    "Content-Type": "application/json"
}

def design_auth_system(requirements: str) -> dict:
    """Design an authentication system using a hierarchical development team."""

    swarm_config = {
        "name": "Software Development Team",
        "description": "Hierarchical team with tech lead coordinating specialists",
        "swarm_type": "HierarchicalSwarm",
        "task": requirements,
        "agents": [
            {
                "agent_name": "Tech Lead",
                "description": "Senior engineer coordinating the team",
                "system_prompt": "You are a tech lead. Review all work from your team, make architectural decisions, identify gaps, and synthesize everything into a cohesive technical plan. Provide final recommendations.",
                "model_name": "gpt-4.1",
                "max_loops": 1,
                "temperature": 0.4
            },
            {
                "agent_name": "Backend Engineer",
                "description": "API and authentication specialist",
                "system_prompt": "You are a backend engineer specializing in authentication. Design: API endpoints, authentication flow, token management, and session handling. Be specific and technical.",
                "model_name": "gpt-4.1",
                "max_loops": 1,
                "temperature": 0.5
            },
            {
                "agent_name": "Database Engineer",
                "description": "Database design expert",
                "system_prompt": "You are a database engineer. Design: user table schema, indexes, relationships, and data security measures. Consider scalability and performance.",
                "model_name": "gpt-4.1",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "Security Engineer",
                "description": "Application security specialist",
                "system_prompt": "You are a security engineer. Identify: security requirements, encryption standards, vulnerability risks, and mitigation strategies. Focus on authentication security.",
                "model_name": "gpt-4.1",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "QA Engineer",
                "description": "Testing strategy expert",
                "system_prompt": "You are a QA engineer. Design: test strategy, test cases, edge cases, security tests, and performance tests for the authentication system.",
                "model_name": "gpt-4.1",
                "max_loops": 1,
                "temperature": 0.4
            }
        ],
        "max_loops": 1
    }

    response = requests.post(
        f"{API_BASE_URL}/v1/swarm/completions",
        headers=headers,
        json=swarm_config,
        timeout=120
    )

    return response.json()

# Project requirements
requirements = """
Design a user authentication system with these requirements:
- OAuth2 + JWT tokens
- Support email/password and social login
- Two-factor authentication
- Password reset flow
- Session management
- Handle 10,000 concurrent users
"""

# Run the hierarchical team
result = design_auth_system(requirements)

# Display results
for output in result.get("output", []):
    print(f"\n{'='*60}")
    print(f"{output['role']}")
    print('='*60)

    # Handle content as string or list
    content = output['content']
    if isinstance(content, list):
        content = ' '.join(str(item) for item in content)

    print(str(content)[:400] + "...")

print(f"\nTotal cost: ${result['usage']['billing_info']['total_cost']:.4f}")
print(f"Execution time: {result['execution_time']:.1f}s")

============================================================
Tech Lead
============================================================
After reviewing all team inputs, here's our unified authentication system design:

**Architecture Decision:** OAuth2 with JWT access tokens (15min) and refresh tokens (7 days)
**Database:** PostgreSQL with proper indexing on email/user_id
**Security:** bcrypt (cost 12), rate limiting, 2FA via TOTP
**API:** RESTful endpoints with /auth prefix
**Testing:** 85% coverage target, load testing for 10k users

[Detailed synthesis of all team inputs...]

============================================================
Backend Engineer
============================================================
API Endpoints:
POST /auth/register - Create new user account
POST /auth/login - Authenticate and issue tokens
POST /auth/refresh - Refresh access token
POST /auth/logout - Invalidate tokens
GET /auth/verify - Verify token validity
POST /auth/2fa/enable - Enable two-factor auth
POST /auth/2fa/verify - Verify 2FA code
...

============================================================
Database Engineer
============================================================
Schema Design:

users table:
- id (UUID, primary key)
- email (VARCHAR(255), unique index)
- password_hash (VARCHAR(255))
- email_verified (BOOLEAN, default false)
- created_at (TIMESTAMP)
- updated_at (TIMESTAMP)

Indexes:
- idx_users_email (unique)
- idx_users_created_at
...

============================================================
Security Engineer
============================================================
Security Requirements:

HIGH PRIORITY:
- Passwords: min 12 chars, require special characters
- bcrypt hashing with cost factor 12
- Rate limiting: 5 failed attempts = 15min lockout
- HTTPS only, no HTTP fallback
- JWT stored in httpOnly cookies

MEDIUM PRIORITY:
- 2FA via TOTP (Google Authenticator)
- Email verification required
...

============================================================
QA Engineer
============================================================
Testing Strategy:

Unit Tests (60% coverage):
- Password validation logic
- Token generation/verification
- Email validation
- 2FA code generation

Integration Tests (25% coverage):
- Full login flow
- Registration + verification
- Password reset flow
...

Total cost: $0.1132
Execution time: 42.5s