From 223938b48c4a4cb8ae6a05221ba0ed89b5b5a8fb Mon Sep 17 00:00:00 2001 From: Swifty Date: Wed, 9 Aug 2023 17:22:02 +0200 Subject: [PATCH] Added e2b protocol for running agents (#6) --- .gitignore | 5 + agbenchmark/benchmarks.py | 29 +- agbenchmark/e2b_boilerplate.py | 64 ++++ agbenchmark/regression_tests.json | 1 + autogpt/__main__.py | 53 +-- autogpt/agent.py | 44 +++ autogpt/utils.py | 148 ++++++++ poetry.lock | 548 +++++------------------------- pyproject.toml | 10 +- 9 files changed, 379 insertions(+), 523 deletions(-) create mode 100644 agbenchmark/e2b_boilerplate.py create mode 100644 agbenchmark/regression_tests.json create mode 100644 autogpt/agent.py create mode 100644 autogpt/utils.py diff --git a/.gitignore b/.gitignore index 29a0285a..1dd51078 100644 --- a/.gitignore +++ b/.gitignore @@ -160,3 +160,8 @@ openai/ # news CURRENT_BULLETIN.md + +# agbenchmark + +agbenchmark/reports +agbenchmark/workspace \ No newline at end of file diff --git a/agbenchmark/benchmarks.py b/agbenchmark/benchmarks.py index 002dc3fc..c8b7e093 100644 --- a/agbenchmark/benchmarks.py +++ b/agbenchmark/benchmarks.py @@ -1,12 +1,31 @@ -# sourcery skip: avoid-global-variables +import asyncio import sys -from dotenv import load_dotenv +from agent_protocol_client import Configuration + +import agbenchmark.e2b_boilerplate + +configuration = Configuration(host="http://localhost:8915") -def run(task: str) -> None: +async def run_specific_agent(task: str) -> None: """Runs the agent for benchmarking""" - load_dotenv() + # Start the agent Server + command = [ + "poetry", + "run", + "python", + "-m", + "autogpt", + ] + agent_process = agbenchmark.e2b_boilerplate.start_agent_server( + command, "localhost", 8915 + ) + + # Send the task to the agent + await agbenchmark.e2b_boilerplate.task_agent(task) + + agent_process.terminate() if __name__ == "__main__": @@ -14,4 +33,4 @@ if __name__ == "__main__": print("Usage: python script.py ") sys.exit(1) task = sys.argv[-1] - run(task) + asyncio.run(run_specific_agent(task)) diff --git a/agbenchmark/e2b_boilerplate.py b/agbenchmark/e2b_boilerplate.py new file mode 100644 index 00000000..a2779b97 --- /dev/null +++ b/agbenchmark/e2b_boilerplate.py @@ -0,0 +1,64 @@ +import subprocess +import time +import typing + +import agent_protocol_client as apc +import requests + +configuration = apc.Configuration(host="http://localhost:8915") + + +def start_agent_server( + command: typing.List[str], host: str, port: int +) -> subprocess.Popen: + """Boilerplate code to start the agent server and wait for it to be ready""" + agent_process = subprocess.Popen(command, text=True) + + print("Agent server started") + server_ready = False + attempts = 0 + while not server_ready and attempts < 5: + try: + response = requests.get(f"http://{host}:{port}/hb") + if response.status_code == 200: + server_ready = True + except Exception as e: + print(f"Unable to connect to server: {e}") + attempts += 1 + time.sleep(0.5) + + if not server_ready: + agent_process.terminate() + print("Agent server failed to start") + return agent_process + + +async def task_agent(task: str) -> None: + try: + async with apc.ApiClient(configuration) as api_client: + # Create an instance of the API class + api_instance = apc.AgentApi(api_client) + task_request_body = apc.TaskRequestBody(input=task) + + print("sending task to agent") + response = await api_instance.create_agent_task( + task_request_body=task_request_body + ) + print("The response of AgentApi->create_agent_task:\n") + print(response) + + task_id = response.task_id + i = 1 + + while ( + step := await api_instance.execute_agent_task_step( + task_id=task_id, step_request_body=apc.StepRequestBody(input=i) + ) + ) and step.is_last is False: + print("The response of AgentApi->execute_agent_task_step:\n") + print(step) + i += 1 + + print("Agent finished its work!") + except Exception as e: + print(f"Exception whilst attempting to run agent task: {e}") diff --git a/agbenchmark/regression_tests.json b/agbenchmark/regression_tests.json new file mode 100644 index 00000000..9e26dfee --- /dev/null +++ b/agbenchmark/regression_tests.json @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/autogpt/__main__.py b/autogpt/__main__.py index 93f077fe..60004564 100644 --- a/autogpt/__main__.py +++ b/autogpt/__main__.py @@ -1,52 +1,9 @@ -#!/usr/bin/env python - -from autopack.errors import AutoPackError -from autopack.get_pack import try_get_packs -from autopack.installation import install_pack -from autopack.pack import Pack -from autopack.selection import select_packs from dotenv import load_dotenv -from langchain.agents import initialize_agent, AgentType -from langchain.chat_models import ChatOpenAI - -load_dotenv() - - -def install_packs(pack_ids: list[str]) -> list[Pack]: - packs = [] - for pack_id in pack_ids: - try: - packs.append(install_pack(pack_id, force_dependencies=True)) - except AutoPackError as e: - print(f"Pack {pack_id} could not be installed, leaving it out of the toolset. {e}") - continue - - return packs - - -def main(): - print("What would you like me to do?") - print("> ", end="") - user_input = input() - - llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo-16k-0613") - - pack_ids = select_packs(user_input, llm) - packs = try_get_packs(pack_ids) - - for pack in packs: - # TODO: Automatically determine how to pass init args. e.g. map env variables to API key args - pack.init_tool() - - agent_executor = initialize_agent( - packs, - llm, - agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, - verbose=True, - ) - - agent_executor.run(user_input) +import autogpt.agent if __name__ == "__main__": - main() + """Runs the agent server""" + load_dotenv() + autogpt.agent.start_agent(port=8915) + diff --git a/autogpt/agent.py b/autogpt/agent.py new file mode 100644 index 00000000..97b1caf2 --- /dev/null +++ b/autogpt/agent.py @@ -0,0 +1,44 @@ +from agent_protocol import Agent, Step, Task, router +from fastapi import APIRouter, Response + +import autogpt.utils + +################################################## +################################################## +# E2b boilerplate code +# We need to add heartbeat endpoint to agent_protocol +# so we can detect when the agent server is ready +e2b_extension_router = APIRouter() + + +@e2b_extension_router.get("/hb") +async def hello(): + return Response("Agent running") + + +e2b_extension_router.include_router(router) + + +def start_agent(port: int): + Agent.setup_agent(task_handler, step_handler).start( + port=port, router=e2b_extension_router + ) + + +################################################### +################################################### + + +async def task_handler(task: Task) -> None: + print(f"task: {task.input}") + autogpt.utils.run(task.input) + await Agent.db.create_step(task.task_id, task.input) + + +async def step_handler(step: Step) -> Step: + print(f"step: {step.input}") + await Agent.db.create_step( + step.task_id, f"Nothing to see here.. {step.name}", is_last=True + ) + step.output = step.input + return step diff --git a/autogpt/utils.py b/autogpt/utils.py new file mode 100644 index 00000000..d2d98303 --- /dev/null +++ b/autogpt/utils.py @@ -0,0 +1,148 @@ +""" +TEMPORARY FILE FOR TESTING PURPOSES ONLY WILL BE REMOVED SOON! +------------------------------------------------------------- +PLEASE IGNORE +------------------------------------------------------------- +""" + +import os +import typing +from pathlib import Path + +import dotenv + +dotenv.load_dotenv() + +import openai +import requests +from tenacity import retry, stop_after_attempt, wait_random_exponential + +PROJECT_DIR = Path().resolve() +workspace = os.path.join(PROJECT_DIR, "agbenchmark/workspace") + + +@retry(wait=wait_random_exponential(min=1, max=40), stop=stop_after_attempt(3)) +def chat_completion_request( + messages: typing.List[typing.Dict[str, str]], + functions: typing.List[typing.Dict[str, str]] | None = None, + function_call: typing.Optional[str] = None, + model: str = "gpt-3.5-turbo", +) -> typing.Union[typing.Dict[str, typing.Any], Exception]: + """Generate a response to a list of messages using OpenAI's API""" + try: + return openai.ChatCompletion.create( + model=model, + messages=messages, + user="TheForge", + ) + except Exception as e: + print("Unable to generate ChatCompletion response") + print(f"Exception: {e}") + exit() + + +def run(task: str) -> None: + """Runs the agent for benchmarking""" + print("Running agent") + steps = plan(task) + execute_plan(steps) + + +def execute_plan(plan: typing.List[str]) -> None: + """Each step is valid python, join the steps together into a python script and execute it""" + script = "\n".join(plan) + print(f"Executing script: \n{script}") + exec(script) + + +def plan(task: str) -> typing.List[str]: + """Returns a list of tasks that needs to be executed to complete the task""" + abilities = """ + plan(task: str) -> typing.List[str] + write_file(contents: str, filepath: str) -> bool + read_file(filepath:str) -> typing.Optional[str] + append_to_file(contents: str, filepath: str, to_start: bool) -> bool + read_webpage(url: str) -> str + """ + json_format = """ + { + "steps": [ + "write_file('The capital is xxx', 'answer.txt')", + "read_file('file_to_read.txt')", + ] + } + """ + planning_prompt = f"""Answer in json format: + Determine the steps needed to complete the following task using only the defined list of steps with the parameters provided: + {task} + --- + Possible steps + {abilities} + + --- + Example answer: + {json_format} + """ + response = chat_completion_request( + messages=[{"role": "user", "content": planning_prompt}] + ) + + import json + + plan = json.loads(response.choices[0].message.content) + return plan["steps"] + + +def append_to_file(contents: str, filepath: str, to_start: bool) -> bool: + """Reads in a file then writes the file out with the contents appended to the end or start""" + if workspace not in filepath: + filepath = os.path.join(workspace, filepath) + file_contents = read_file(filepath) + if file_contents is None: + file_contents = "" + if to_start: + contents += file_contents + else: + contents = file_contents + contents + return write_file(contents, filepath) + + +def write_file(contents: str, filepath: str) -> bool: + """Creates directory for the file if it doesn't exist, then writes the file""" + if workspace not in filepath: + filepath = os.path.join(workspace, filepath) + success = False + directory = os.path.dirname(filepath) + os.makedirs(directory, exist_ok=True) + try: + with open(filepath, "w") as f: + f.write(contents) + success = True + except Exception as e: + print(f"Unable to write file: {e}") + return success + + +def read_file(filepath: str) -> typing.Optional[str]: + """Reads in the contents of a file""" + if workspace not in filepath: + filepath = os.path.join(workspace, filepath) + contents = None + try: + with open(filepath, "r") as f: + contents = f.read() + except Exception as e: + print(f"Unable to read file: {e}") + return contents + + +def read_webpage(url: str) -> typing.Optional[str]: + """Checks if the url is valid then reads the contents of the webpage""" + contents = None + try: + response = requests.get(url) + if response.status_code == 200: + contents = response.text + except Exception as e: + print(f"Unable to read webpage: {e}") + return contents diff --git a/poetry.lock b/poetry.lock index 3a7682ac..dc291d38 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,53 +1,95 @@ # This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. 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