AutoGPT/docs/content/forge/components/protocols.md

⚙️ Protocols

Protocols are interfaces implemented by Components used to group related functionality. Each protocol needs to be handled explicitly by the agent at some point of the execution. We provide a comprehensive list of built-in protocols that are already handled in the built-in Agent, so when you inherit from the base agent all built-in protocols will work!

Protocols are listed in the order of the default execution.

Order-independent protocols

Components implementing exclusively order-independent protocols can added in any order, including in-between ordered protocols.

DirectiveProvider

Yields constraints, resources and best practices for the agent. This has no direct impact on other protocols; is purely informational and will be passed to a llm when the prompt is built.

class DirectiveProvider(AgentComponent):
    def get_constraints(self) -> Iterator[str]:
        return iter([])

    def get_resources(self) -> Iterator[str]:
        return iter([])

    def get_best_practices(self) -> Iterator[str]:
        return iter([])

Example A web-search component can provide a resource information. Keep in mind that this actually doesn't allow the agent to access the internet. To do this a relevant Command needs to be provided.

class WebSearchComponent(DirectiveProvider):
    def get_resources(self) -> Iterator[str]:
        yield "Internet access for searches and information gathering."
    # We can skip "get_constraints" and "get_best_practices" if they aren't needed

CommandProvider

Provides a command that can be executed by the agent.

class CommandProvider(AgentComponent):
    def get_commands(self) -> Iterator[Command]:
        ...

The easiest way to provide a command is to use command decorator on a component method and then yield the method. Each command needs a name, description and a parameter schema using JSONSchema. By default method name is used as a command name, and first part of docstring for the description (before Args: or Returns:) and schema can be provided in the decorator.

Example Calculator component that can perform multiplication. Agent is able to call this command if it's relevant to a current task and will see the returned result.

from forge.agent import CommandProvider, Component
from forge.command import command
from forge.models.json_schema import JSONSchema


class CalculatorComponent(CommandProvider):
    get_commands(self) -> Iterator[Command]:
        yield self.multiply

    @command(parameters={
            "a": JSONSchema(
                type=JSONSchema.Type.INTEGER,
                description="The first number",
                required=True,
            ),
            "b": JSONSchema(
                type=JSONSchema.Type.INTEGER,
                description="The second number",
                required=True,
            )})
    def multiply(self, a: int, b: int) -> str:
        """
        Multiplies two numbers.
        
        Args:
            a: First number
            b: Second number

        Returns:
            Result of multiplication
        """
        return str(a * b)

The agent will be able to call this command, named multiply with two arguments and will receive the result. The command description will be: Multiplies two numbers.

To learn more about commands see 🛠️ Commands.

Order-dependent protocols

The order of components implementing order-dependent protocols is important. Some components may depend on the results of components before them.

MessageProvider

Yields messages that will be added to the agent's prompt. You can use either ChatMessage.user(): this will interpreted as a user-sent message or ChatMessage.system(): that will be more important.

class MessageProvider(AgentComponent):
    def get_messages(self) -> Iterator[ChatMessage]:
        ...

Example Component that provides a message to the agent's prompt.

class HelloComponent(MessageProvider):
    def get_messages(self) -> Iterator[ChatMessage]:
        yield ChatMessage.user("Hello World!")

AfterParse

Protocol called after the response is parsed.

class AfterParse(AgentComponent):
    def after_parse(self, response: ThoughtProcessOutput) -> None:
        ...

Example Component that logs the response after it's parsed.

class LoggerComponent(AfterParse):
    def after_parse(self, response: ThoughtProcessOutput) -> None:
        logger.info(f"Response: {response}")

ExecutionFailure

Protocol called when the execution of the command fails.

class ExecutionFailure(AgentComponent):
    @abstractmethod
    def execution_failure(self, error: Exception) -> None:
        ...

Example Component that logs the error when the command fails.

class LoggerComponent(ExecutionFailure):
    def execution_failure(self, error: Exception) -> None:
        logger.error(f"Command execution failed: {error}")

AfterExecute

Protocol called after the command is successfully executed by the agent.

class AfterExecute(AgentComponent):
    def after_execute(self, result: ActionResult) -> None:
        ...

Example Component that logs the result after the command is executed.

class LoggerComponent(AfterExecute):
    def after_execute(self, result: ActionResult) -> None:
        logger.info(f"Result: {result}")