CLI Examples

swarms --help
swarms onboarding
swarms get-api-key
swarms check-login
swarms setup-check

swarms agent \
  --name "Research Assistant" \
  --description "AI research specialist" \
  --system-prompt "You are an expert research assistant. Provide structured, evidence-based answers." \
  --task "Summarize key quantum computing breakthroughs from the last two years" \
  --model-name "claude-sonnet-4-6" \
  --temperature 0.1 \
  --max-loops 3

swarms agent \
  --name "Code Reviewer" \
  --system-prompt "You are a senior engineer focused on security and best practices." \
  --task "Review this code for vulnerabilities: def process(data): return eval(data)" \
  --model-name "claude-sonnet-4-6" \
  --temperature 0.05 \
  --max-loops 2 \
  --verbose

swarms agent \
  --name "MCP Agent" \
  --system-prompt "Use MCP tools when they help answer the task." \
  --task "Find recent news about climate policy and summarize findings" \
  --model-name "claude-sonnet-4-6" \
  --mcp-url "https://your-mcp-server.example/sse" \
  --max-loops 5

agents:
  - agent_name: "Data Collector"
    model_name: "claude-sonnet-4-6"
    system_prompt: "Gather and organize relevant information."
    temperature: 0.1
    max_loops: 3
  - agent_name: "Data Analyzer"
    model_name: "claude-sonnet-4-6"
    system_prompt: "Analyze data and extract insights."
    temperature: 0.2
    max_loops: 4
  - agent_name: "Report Writer"
    model_name: "claude-sonnet-4-6"
    system_prompt: "Write a clear report from the analysis."
    temperature: 0.3
    max_loops: 3

swarm_architecture:
  name: "Research-Team-Swarm"
  description: "Collect data, analyze it, and write a report"
  swarm_type: "SequentialWorkflow"
  task: "Research the current state of solid-state batteries"

swarms run-agents --yaml-file research_team.yaml

swarms load-markdown --markdown-path ./agents/ --concurrent

# simple_agent.yaml
agents:
  - agent_name: "Simple Assistant"
    model_name: "claude-sonnet-4-6"
    system_prompt: "You are a helpful AI assistant."
    temperature: 0.7
    max_loops: 1

swarm_architecture:
  name: "Simple-Assistant-Swarm"
  description: "A single general-purpose assistant"
  swarm_type: "SequentialWorkflow"
  task: "Hello, world!"