8.7 KiB
SequentialWorkflow
Executes tasks in a strict, predefined order for step-by-step processing
Swarm Type: SequentialWorkflow
Overview
The SequentialWorkflow swarm type executes tasks in a strict, predefined order where each step depends on the completion of the previous one. This architecture is perfect for workflows that require a linear progression of tasks, ensuring that each agent builds upon the work of the previous agent.
Key features:
- Ordered Execution: Agents execute in a specific, predefined sequence
- Step Dependencies: Each step builds upon previous results
- Predictable Flow: Clear, linear progression through the workflow
- Quality Control: Each agent can validate and enhance previous work
Use Cases
- Document processing pipelines
- Multi-stage analysis workflows
- Content creation and editing processes
- Data transformation and validation pipelines
API Usage
Basic SequentialWorkflow Example
=== "Shell (curl)"
bash curl -X POST "https://api.swarms.world/v1/swarm/completions" \ -H "x-api-key: $SWARMS_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "name": "Content Creation Pipeline", "description": "Sequential content creation from research to final output", "swarm_type": "SequentialWorkflow", "task": "Create a comprehensive blog post about the future of renewable energy", "agents": [ { "agent_name": "Research Specialist", "description": "Conducts thorough research on the topic", "system_prompt": "You are a research specialist. Gather comprehensive, accurate information on the given topic from reliable sources.", "model_name": "gpt-4o", "max_loops": 1, "temperature": 0.3 }, { "agent_name": "Content Writer", "description": "Creates engaging written content", "system_prompt": "You are a skilled content writer. Transform research into engaging, well-structured articles that are informative and readable.", "model_name": "gpt-4o", "max_loops": 1, "temperature": 0.6 }, { "agent_name": "Editor", "description": "Reviews and polishes the content", "system_prompt": "You are a professional editor. Review content for clarity, grammar, flow, and overall quality. Make improvements while maintaining the author's voice.", "model_name": "gpt-4o", "max_loops": 1, "temperature": 0.4 }, { "agent_name": "SEO Optimizer", "description": "Optimizes content for search engines", "system_prompt": "You are an SEO expert. Optimize content for search engines while maintaining readability and quality.", "model_name": "gpt-4o", "max_loops": 1, "temperature": 0.2 } ], "max_loops": 1 }'
=== "Python (requests)" ```python import requests import json
API_BASE_URL = "https://api.swarms.world"
API_KEY = "your_api_key_here"
headers = {
"x-api-key": API_KEY,
"Content-Type": "application/json"
}
swarm_config = {
"name": "Content Creation Pipeline",
"description": "Sequential content creation from research to final output",
"swarm_type": "SequentialWorkflow",
"task": "Create a comprehensive blog post about the future of renewable energy",
"agents": [
{
"agent_name": "Research Specialist",
"description": "Conducts thorough research on the topic",
"system_prompt": "You are a research specialist. Gather comprehensive, accurate information on the given topic from reliable sources.",
"model_name": "gpt-4o",
"max_loops": 1,
"temperature": 0.3
},
{
"agent_name": "Content Writer",
"description": "Creates engaging written content",
"system_prompt": "You are a skilled content writer. Transform research into engaging, well-structured articles that are informative and readable.",
"model_name": "gpt-4o",
"max_loops": 1,
"temperature": 0.6
},
{
"agent_name": "Editor",
"description": "Reviews and polishes the content",
"system_prompt": "You are a professional editor. Review content for clarity, grammar, flow, and overall quality. Make improvements while maintaining the author's voice.",
"model_name": "gpt-4o",
"max_loops": 1,
"temperature": 0.4
},
{
"agent_name": "SEO Optimizer",
"description": "Optimizes content for search engines",
"system_prompt": "You are an SEO expert. Optimize content for search engines while maintaining readability and quality.",
"model_name": "gpt-4o",
"max_loops": 1,
"temperature": 0.2
}
],
"max_loops": 1
}
response = requests.post(
f"{API_BASE_URL}/v1/swarm/completions",
headers=headers,
json=swarm_config
)
if response.status_code == 200:
result = response.json()
print("SequentialWorkflow swarm completed successfully!")
print(f"Cost: ${result['metadata']['billing_info']['total_cost']}")
print(f"Execution time: {result['metadata']['execution_time_seconds']} seconds")
print(f"Final output: {result['output']}")
else:
print(f"Error: {response.status_code} - {response.text}")
```
Example Response:
{
"job_id": "swarms-pbM8wqUwxq8afGeROV2A4xAcncd1",
"status": "success",
"swarm_name": "Content Creation Pipeline",
"description": "Sequential content creation from research to final output",
"swarm_type": "SequentialWorkflow",
"output": [
{
"role": "Research Specialist",
"content": "\"**Title: The Future of Renewable Energy: Charting a Sustainable Path Forward**\n\nAs we navigate the complexities of the 21st century, the transition to renewable energy stands out as a critical endeavor to ensure a sustainable future......"
},
{
"role": "SEO Optimizer",
"content": "\"**Title: The Future of Renewable Energy: Charting a Sustainable Path Forward**\n\nThe transition to renewable energy is crucial as we face the challenges of the 21st century, including climate change and dwindling fossil fuel resources......."
},
{
"role": "Editor",
"content": "\"**Title: The Future of Renewable Energy: Charting a Sustainable Path Forward**\n\nAs we confront the challenges of the 21st century, transitioning to renewable energy is essential for a sustainable future. With climate change concerns escalating and fossil fuel reserves depleting, renewable energy is not just an option but a necessity...."
},
{
"role": "Content Writer",
"content": "\"**Title: The Future of Renewable Energy: Charting a Sustainable Path Forward**\n\nAs we face the multifaceted challenges of the 21st century, transitioning to renewable energy emerges as not just an option but an essential step toward a sustainable future...."
}
],
"number_of_agents": 4,
"service_tier": "standard",
"execution_time": 72.23084282875061,
"usage": {
"input_tokens": 28,
"output_tokens": 3012,
"total_tokens": 3040,
"billing_info": {
"cost_breakdown": {
"agent_cost": 0.04,
"input_token_cost": 0.000084,
"output_token_cost": 0.04518,
"token_counts": {
"total_input_tokens": 28,
"total_output_tokens": 3012,
"total_tokens": 3040
},
"num_agents": 4,
"service_tier": "standard",
"night_time_discount_applied": true
},
"total_cost": 0.085264,
"discount_active": true,
"discount_type": "night_time",
"discount_percentage": 75
}
}
}
Best Practices
- Design agents with clear, sequential dependencies
- Ensure each agent builds meaningfully on the previous work
- Use for linear workflows where order matters
- Validate outputs at each step before proceeding
Related Swarm Types
- ConcurrentWorkflow - For parallel execution
- AgentRearrange - For dynamic sequencing
- HierarchicalSwarm - For structured workflows