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https://github.com/aljazceru/Auto-GPT.git
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4ada7d1784
* WIP Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com> * WIP Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com> * Update config for benchmark changes (#4883) * Add Helicone * Add reports, consolidate, update benchmark files (#4941) * updating config * add reports, consolidate, update benchmark files * Update benchmarks.py * Change entrypath and add __init__.py * Remove Helicone integration because we now have proxy at the system level * Support more regression tests * Fix Auto-GPT/benchmark integration Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com> * Remove cutoff * Install agbenchmark and make continuous mode dynamic Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com> --------- Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com> Co-authored-by: Silen Naihin <silen.naihin@gmail.com>
65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
import sys
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from pathlib import Path
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from typing import Tuple
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from autogpt.agents import Agent
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from autogpt.app.main import run_interaction_loop
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from autogpt.commands import COMMAND_CATEGORIES
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from autogpt.config import AIConfig, Config, ConfigBuilder
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from autogpt.memory.vector import get_memory
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from autogpt.models.command_registry import CommandRegistry
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from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
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from autogpt.workspace import Workspace
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PROJECT_DIR = Path().resolve()
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def run_specific_agent(task, continuous_mode=False) -> Tuple[str, int]:
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agent = bootstrap_agent(task, continuous_mode)
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run_interaction_loop(agent)
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def bootstrap_agent(task, continuous_mode) -> Agent:
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config = ConfigBuilder.build_config_from_env(workdir=PROJECT_DIR)
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config.debug_mode = True
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config.continuous_mode = continuous_mode
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config.temperature = 0
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config.plain_output = True
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command_registry = get_command_registry(config)
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config.memory_backend = "no_memory"
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Workspace.set_workspace_directory(config)
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Workspace.build_file_logger_path(config, config.workspace_path)
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ai_config = AIConfig(
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ai_name="Auto-GPT",
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ai_role="a multi-purpose AI assistant.",
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ai_goals=[task],
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)
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ai_config.command_registry = command_registry
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return Agent(
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memory=get_memory(config),
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command_registry=command_registry,
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ai_config=ai_config,
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config=config,
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triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
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workspace_directory=str(config.workspace_path),
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)
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def get_command_registry(config: Config):
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command_registry = CommandRegistry()
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enabled_command_categories = [
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x for x in COMMAND_CATEGORIES if x not in config.disabled_command_categories
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]
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for command_category in enabled_command_categories:
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command_registry.import_commands(command_category)
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return command_registry
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if __name__ == "__main__":
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# The first argument is the script name itself, second is the task
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if len(sys.argv) != 2:
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print("Usage: python script.py <task>")
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sys.exit(1)
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task = sys.argv[1]
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run_specific_agent(task, continuous_mode=True)
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