Configuring a Default Agent

ControlFlow uses a default agent when no specific agents are assigned to a task. Understanding how to configure and override this default agent at different levels can help you create more flexible and customized workflows.

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Changing the Global Default Agent

The global default agent (whose name, of course, is Marvin) uses whatever default model you’ve configured. It has a basic set of general-purpose instructions and is not equipped with any tools.

To change the global default agent, assign a new agent to controlflow.defaults.agent:

import controlflow as cf

# Create a new agent
agent = cf.Agent('Deep Thought', instructions='Answer every question with 42')

# Set the global default agent
cf.defaults.agent = agent

# Create a task without specifying an agent
task = cf.Task('What is 2 + 2?')
task.run()  # Result: 42

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Changing a Flow’s Default Agent

You can also set a default agent for a specific flow. by using its default_agent parameter when decorating your flow function or creating the flow object.

import controlflow as cf

researcher = cf.Agent('Researcher', instructions='Conduct thorough research')
writer = cf.Agent('Writer', instructions='Write clear, concise content')

@cf.flow(default_agent=writer)
def research_flow():
    research_task = cf.Task("Research the topic", agents=[researcher])
    writing_task = cf.Task("Write a report") # will use the writer agent by default
    return writing_task

result = research_flow()

In this example, both the research_task and writing_task will use the researcher and writer agents by default.

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Agent Selection Precedence

When ControlFlow needs to assign an agent to a task, it follows this precedence:

1. Agents specified directly on the task (task.agents)
2. The agent specified by the flow (@flow(default_agent=...))
3. The global default agent (controlflow.defaults.agent)

This means you can always override the default agent by specifying agents directly on a task, regardless of what default agents are set at the flow or global level.

import controlflow as cf

global_agent = cf.Agent('Global', instructions='I am the global default')
cf.defaults.agent = global_agent
flow_agent = cf.Agent('Flow', instructions='I am the flow default')
task_agent = cf.Agent('Task', instructions='I am specified for this task')

@cf.flow(default_agent=flow_agent)
def example_flow():
    task1 = cf.run("Task with flow default")
    task2 = cf.run("Task with specific agent", agents=[task_agent])
    
task3 = cf.run("Task with global default")


results = example_flow()

In this example:

• task1 will use the flow_agent
• task2 will use the task_agent
• task3 will use the global_agent

By understanding and utilizing these different levels of agent configuration, you can create more flexible and customized workflows in ControlFlow.