OpenAIAutomataAgent

OpenAIAutomataAgent is a specific type of Agent tailored for executing tasks using the OpenAI engine. This autonomous agent takes instructions, performs actions based on them, and reports the results. The interactions with the various tools are managed via the OpenAI API for generating responses.

Overview

An instance of OpenAIAutomataAgent is initialized with a set of instructions along with a config object of type OpenAIAutomataAgentConfig detailng the operational parameters of the agent. During its life cycle, the agent executes a series of iterations, each of which consists of generating a new assistant message, processing it, and incrementing an iteration counter. The agent also manages a conversation with the OpenAI API, storing the history of user and assistant messages.

Usage Example

In this sample, an OpenAIAutomataAgent is created with a specific set of instructions and a configuration object:

from automata.agent.openai_agent import OpenAIAutomataAgent
from automata.config.openai_config import OpenAIAutomataAgentConfigBuilder

instructions = 'Translate the following English text to French: {TEXT_TO_TRANSLATE}.'
config = OpenAIAutomataAgentConfigBuilder.from_name('automata').with_stream(False).with_system_template_formatter({}).build()

agent = OpenAIAutomataAgent(instructions, config)
agent.run()

After instantiating the OpenAIAutomataAgent, the run method can be called to start executing the task.

Related Symbols

• automata.config.openai_config.OpenAIAutomataAgentConfig

• automata.llm.providers.openai_llm.OpenAITool

• automata.llm.providers.openai_llm.OpenAIChatMessage

• automata.memory_store.conversation_database_providers.OpenAIAutomataConversationDatabase

• automata.agent.agent.Agent

• automata.tasks.task_registry.AutomataTaskRegistry

• automata.tasks.automata_task.AutomataTask

Limitations

• While OpenAIAutomataAgent supports executing larger tasks interactively over multiple iterations, exceeding the maximum number of iterations or tokens raises an AgentStopIterationError.

• Interactions with tools are currently only executed sequentially, without support for hierarchical or parallel invocation of tools or asynchronous tool execution.

• The agent only supports a conversation model where the user and assistant take turns in communicating, with the assistant always responding to the user’s prompts or responses to previous assistant messages.

Follow-up Questions:

• Can OpenAIAutomataAgent be customized or extended for different interaction models with the assistant?

• Very long instructions are currently truncated while generating status notes. Would deeper support for long instructions be beneficial?

• How would OpenAIAutomataAgent be used in a live, interactive setting with real users providing inputs to the agent, as opposed to pre-set instructions?