Files
Auto-GPT/agbenchmark/benchmarks.py
Reinier van der Leer 3fe2246468 Agent loop v2: Prompting improvements & WIP planning (#5077)
* Add categories to command registry

* Fix tests

* Clean up prompt generation

* Rename Performance Evaluations to Best Practices
* Move specification of response format from system prompt to Agent.construct_base_prompt
* Clean up PromptGenerator class

* Add debug logging to AIConfig autogeneration

* Clarify prompting and add support for multiple thought processes to Agent

* WIP: PlanningAgent

* Disable message history by default on BaseAgent

* Add CommandOutput and ThoughtProcessOutput type aliases

* Fix interrupts in main.py

* Use custom exceptions and clean up exception/error handling

* Remove duplicate agent_history.py

* Update PlanningAgent from upstream

* WIP: Support for dynamic in-prompt context

* WIP: response formats for PlanningAgent three-stage cycle

* Remove browsing overlay & separate browsing from extraction code

* Fix human feedback

* Fix tests

* Include history in Agent prompt generation

* Code improvements in agent.py

* Add ask_user command and revise system prompt
2023-08-19 17:44:50 +02:00

54 lines
1.8 KiB
Python

import sys
from pathlib import Path
from typing import Tuple
from autogpt.agents import Agent
from autogpt.app.main import run_interaction_loop
from autogpt.commands import COMMAND_CATEGORIES
from autogpt.config import AIConfig, Config, ConfigBuilder
from autogpt.memory.vector import get_memory
from autogpt.models.command_registry import CommandRegistry
from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
from autogpt.workspace import Workspace
PROJECT_DIR = Path().resolve()
def run_specific_agent(task, continuous_mode=False) -> Tuple[str, int]:
agent = bootstrap_agent(task, continuous_mode)
run_interaction_loop(agent)
def bootstrap_agent(task, continuous_mode) -> Agent:
config = ConfigBuilder.build_config_from_env(workdir=PROJECT_DIR)
config.debug_mode = True
config.continuous_mode = continuous_mode
config.temperature = 0
config.plain_output = True
command_registry = CommandRegistry.with_command_modules(COMMAND_CATEGORIES, config)
config.memory_backend = "no_memory"
config.workspace_path = Workspace.init_workspace_directory(config)
config.file_logger_path = Workspace.build_file_logger_path(config.workspace_path)
ai_config = AIConfig(
ai_name="Auto-GPT",
ai_role="a multi-purpose AI assistant.",
ai_goals=[task],
)
ai_config.command_registry = command_registry
return Agent(
memory=get_memory(config),
command_registry=command_registry,
ai_config=ai_config,
config=config,
triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
)
if __name__ == "__main__":
# The first argument is the script name itself, second is the task
if len(sys.argv) != 2:
print("Usage: python script.py <task>")
sys.exit(1)
task = sys.argv[1]
run_specific_agent(task, continuous_mode=True)