AgentConfigBuilder

AgentConfigBuilder is a builder class that helps in the creation of Agent configurations. It extends the generic type T and requires the implementor to implement methods for creating the specific configuration object and associating the correct model with the agent.

Overview

AgentConfigBuilder primarily functions by taking an optional config object, upon instantiation which defaults to the result of the create_config function if not provided. The configuration object can be constructed from scratch or from existing configurations by using the from_config or from_name methods, respectively.

This configuration builder also has the capability to set specific parameters related to the Agent including the tools it will use, the model it should run, whether it will stream output, verbosity of logging, maximum iterations the agent should run, and others. The validity of all parameter types is thoroughly checked before being updated in the builder configuration.

Usage Example

from automata.config.openai_agent import OpenAIAutomataAgentConfigBuilder
from automata.config.base import AgentConfigName

# Using builder to construct with default config
builder_default_config = OpenAIAutomataAgentConfigBuilder()
config_default = builder_default_config.build()

# Using builder to construct with existing config
builder_from_config = OpenAIAutomataAgentConfigBuilder.from_config(config_default)
config_from_config = builder_from_config.build()

# Using builder to construct from named config
builder_from_name = OpenAIAutomataAgentConfigBuilder.from_name(AgentConfigName.TEST)
config_from_name = builder_from_name.build()

Limitations

The builder pattern, while providing a clean API, can lead to over complicated code since each attribute is set individually. Be careful of overusing builders and consider passing a single object with many parameters. This can also make it more difficult to understand as the logical groups of parameters can be broken up.

Follow-up Questions:

  • Is there a way to populate the builder with a group of related parameters at once?

  • How can we ensure each attribute is being updated in a consistent manner?