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Documentation Index

Fetch the complete documentation index at: https://docs.upsonic.ai/llms.txt

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Overview

Team enables multiple specialized agents to work together on complex tasks. Teams automatically coordinate work, share context, and combine results through different operational modes.

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Key Features

  • Multiple Operation Modes: Sequential, coordinate, or route execution
  • Smart Assignment: Automatically picks the right agent for each task
  • Context Sharing: Agents receive context from previous tasks
  • Result Combining: Combines outputs into coherent final answer
  • Flexible Coordination: Leader-based planning or expert routing
  • Shared Memory: Optional memory sharing across team

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Example

from upsonic import Agent, Task, Team

# Create specialized agents
data_analyst = Agent(
    model="anthropic/claude-sonnet-4-5",
    name="Data Analyst",
    role="Data Analysis Expert",
    goal="Analyze data and extract insights"
)

report_writer = Agent(
    model="anthropic/claude-sonnet-4-5",
    name="Report Writer",
    role="Business Report Specialist",
    goal="Create professional business reports"
)

# Create team with coordination
team = Team(
    agents=[data_analyst, report_writer],
    mode="coordinate",
    model="anthropic/claude-sonnet-4-5"  # Required for leader agent
)

# Define tasks
tasks = [
    Task(description="Analyze Q4 sales data and identify trends"),
    Task(description="Create executive summary of findings")
]

# Leader agent coordinates the team
result = team.print_do(tasks)
print(result)