mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2026-01-07 16:24:19 +01:00
Added e2b protocol for running agents (#6)
This commit is contained in:
Swifty
5
.gitignore
vendored
5
.gitignore
vendored
@@ -160,3 +160,8 @@ openai/
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# news
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CURRENT_BULLETIN.md
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# agbenchmark
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agbenchmark/reports
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agbenchmark/workspace
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@@ -1,12 +1,31 @@
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# sourcery skip: avoid-global-variables
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import asyncio
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import sys
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from dotenv import load_dotenv
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from agent_protocol_client import Configuration
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import agbenchmark.e2b_boilerplate
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configuration = Configuration(host="http://localhost:8915")
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def run(task: str) -> None:
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async def run_specific_agent(task: str) -> None:
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"""Runs the agent for benchmarking"""
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load_dotenv()
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# Start the agent Server
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command = [
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"poetry",
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"run",
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"python",
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"-m",
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"autogpt",
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]
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agent_process = agbenchmark.e2b_boilerplate.start_agent_server(
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command, "localhost", 8915
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)
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# Send the task to the agent
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await agbenchmark.e2b_boilerplate.task_agent(task)
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agent_process.terminate()
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if __name__ == "__main__":
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@@ -14,4 +33,4 @@ if __name__ == "__main__":
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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(task)
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asyncio.run(run_specific_agent(task))
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64
agbenchmark/e2b_boilerplate.py
Normal file
64
agbenchmark/e2b_boilerplate.py
Normal file
@@ -0,0 +1,64 @@
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import subprocess
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import time
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import typing
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import agent_protocol_client as apc
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import requests
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configuration = apc.Configuration(host="http://localhost:8915")
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def start_agent_server(
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command: typing.List[str], host: str, port: int
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) -> subprocess.Popen:
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"""Boilerplate code to start the agent server and wait for it to be ready"""
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agent_process = subprocess.Popen(command, text=True)
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print("Agent server started")
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server_ready = False
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attempts = 0
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while not server_ready and attempts < 5:
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try:
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response = requests.get(f"http://{host}:{port}/hb")
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if response.status_code == 200:
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server_ready = True
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except Exception as e:
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print(f"Unable to connect to server: {e}")
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attempts += 1
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time.sleep(0.5)
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if not server_ready:
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agent_process.terminate()
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print("Agent server failed to start")
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return agent_process
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async def task_agent(task: str) -> None:
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try:
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async with apc.ApiClient(configuration) as api_client:
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# Create an instance of the API class
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api_instance = apc.AgentApi(api_client)
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task_request_body = apc.TaskRequestBody(input=task)
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print("sending task to agent")
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response = await api_instance.create_agent_task(
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task_request_body=task_request_body
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)
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print("The response of AgentApi->create_agent_task:\n")
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print(response)
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task_id = response.task_id
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i = 1
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while (
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step := await api_instance.execute_agent_task_step(
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task_id=task_id, step_request_body=apc.StepRequestBody(input=i)
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)
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) and step.is_last is False:
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print("The response of AgentApi->execute_agent_task_step:\n")
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print(step)
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i += 1
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print("Agent finished its work!")
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except Exception as e:
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print(f"Exception whilst attempting to run agent task: {e}")
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1
agbenchmark/regression_tests.json
Normal file
1
agbenchmark/regression_tests.json
Normal file
@@ -0,0 +1 @@
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{}
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@@ -1,52 +1,9 @@
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#!/usr/bin/env python
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from autopack.errors import AutoPackError
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from autopack.get_pack import try_get_packs
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from autopack.installation import install_pack
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from autopack.pack import Pack
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from autopack.selection import select_packs
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from dotenv import load_dotenv
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from langchain.agents import initialize_agent, AgentType
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from langchain.chat_models import ChatOpenAI
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load_dotenv()
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def install_packs(pack_ids: list[str]) -> list[Pack]:
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packs = []
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for pack_id in pack_ids:
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try:
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packs.append(install_pack(pack_id, force_dependencies=True))
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except AutoPackError as e:
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print(f"Pack {pack_id} could not be installed, leaving it out of the toolset. {e}")
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continue
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return packs
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def main():
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print("What would you like me to do?")
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print("> ", end="")
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user_input = input()
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llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo-16k-0613")
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pack_ids = select_packs(user_input, llm)
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packs = try_get_packs(pack_ids)
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for pack in packs:
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# TODO: Automatically determine how to pass init args. e.g. map env variables to API key args
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pack.init_tool()
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agent_executor = initialize_agent(
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packs,
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llm,
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agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,
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verbose=True,
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)
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agent_executor.run(user_input)
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import autogpt.agent
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if __name__ == "__main__":
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main()
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"""Runs the agent server"""
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load_dotenv()
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autogpt.agent.start_agent(port=8915)
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44
autogpt/agent.py
Normal file
44
autogpt/agent.py
Normal file
@@ -0,0 +1,44 @@
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from agent_protocol import Agent, Step, Task, router
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from fastapi import APIRouter, Response
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import autogpt.utils
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##################################################
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##################################################
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# E2b boilerplate code
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# We need to add heartbeat endpoint to agent_protocol
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# so we can detect when the agent server is ready
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e2b_extension_router = APIRouter()
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@e2b_extension_router.get("/hb")
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async def hello():
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return Response("Agent running")
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e2b_extension_router.include_router(router)
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def start_agent(port: int):
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Agent.setup_agent(task_handler, step_handler).start(
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port=port, router=e2b_extension_router
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)
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###################################################
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###################################################
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async def task_handler(task: Task) -> None:
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print(f"task: {task.input}")
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autogpt.utils.run(task.input)
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await Agent.db.create_step(task.task_id, task.input)
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async def step_handler(step: Step) -> Step:
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print(f"step: {step.input}")
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await Agent.db.create_step(
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step.task_id, f"Nothing to see here.. {step.name}", is_last=True
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)
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step.output = step.input
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return step
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148
autogpt/utils.py
Normal file
148
autogpt/utils.py
Normal file
@@ -0,0 +1,148 @@
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"""
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TEMPORARY FILE FOR TESTING PURPOSES ONLY WILL BE REMOVED SOON!
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-------------------------------------------------------------
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PLEASE IGNORE
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-------------------------------------------------------------
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"""
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import os
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import typing
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from pathlib import Path
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import dotenv
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dotenv.load_dotenv()
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import openai
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import requests
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from tenacity import retry, stop_after_attempt, wait_random_exponential
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PROJECT_DIR = Path().resolve()
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workspace = os.path.join(PROJECT_DIR, "agbenchmark/workspace")
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@retry(wait=wait_random_exponential(min=1, max=40), stop=stop_after_attempt(3))
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def chat_completion_request(
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messages: typing.List[typing.Dict[str, str]],
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functions: typing.List[typing.Dict[str, str]] | None = None,
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function_call: typing.Optional[str] = None,
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model: str = "gpt-3.5-turbo",
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) -> typing.Union[typing.Dict[str, typing.Any], Exception]:
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"""Generate a response to a list of messages using OpenAI's API"""
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try:
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return openai.ChatCompletion.create(
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model=model,
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messages=messages,
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user="TheForge",
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)
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except Exception as e:
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print("Unable to generate ChatCompletion response")
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print(f"Exception: {e}")
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exit()
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def run(task: str) -> None:
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"""Runs the agent for benchmarking"""
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print("Running agent")
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steps = plan(task)
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execute_plan(steps)
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def execute_plan(plan: typing.List[str]) -> None:
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"""Each step is valid python, join the steps together into a python script and execute it"""
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script = "\n".join(plan)
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print(f"Executing script: \n{script}")
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exec(script)
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def plan(task: str) -> typing.List[str]:
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"""Returns a list of tasks that needs to be executed to complete the task"""
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abilities = """
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plan(task: str) -> typing.List[str]
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write_file(contents: str, filepath: str) -> bool
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read_file(filepath:str) -> typing.Optional[str]
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append_to_file(contents: str, filepath: str, to_start: bool) -> bool
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read_webpage(url: str) -> str
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"""
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json_format = """
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{
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"steps": [
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"write_file('The capital is xxx', 'answer.txt')",
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"read_file('file_to_read.txt')",
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]
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}
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"""
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planning_prompt = f"""Answer in json format:
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Determine the steps needed to complete the following task using only the defined list of steps with the parameters provided:
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{task}
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---
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Possible steps
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{abilities}
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|
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---
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Example answer:
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{json_format}
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"""
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response = chat_completion_request(
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messages=[{"role": "user", "content": planning_prompt}]
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)
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import json
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plan = json.loads(response.choices[0].message.content)
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return plan["steps"]
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|
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def append_to_file(contents: str, filepath: str, to_start: bool) -> bool:
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"""Reads in a file then writes the file out with the contents appended to the end or start"""
|
||||
if workspace not in filepath:
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||||
filepath = os.path.join(workspace, filepath)
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||||
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
|
||||
548
poetry.lock
generated
548
poetry.lock
generated
@@ -1,53 +1,95 @@
|
||||
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "agbenchmark"
|
||||
version = "0.0.3"
|
||||
description = "Benchmarking the performance of agents far and wide, regardless of how they are set up and how they work"
|
||||
name = "aenum"
|
||||
version = "3.1.15"
|
||||
description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "aenum-3.1.15-py2-none-any.whl", hash = "sha256:27b1710b9d084de6e2e695dab78fe9f269de924b51ae2850170ee7e1ca6288a5"},
|
||||
{file = "aenum-3.1.15-py3-none-any.whl", hash = "sha256:e0dfaeea4c2bd362144b87377e2c61d91958c5ed0b4daf89cb6f45ae23af6288"},
|
||||
{file = "aenum-3.1.15.tar.gz", hash = "sha256:8cbd76cd18c4f870ff39b24284d3ea028fbe8731a58df3aa581e434c575b9559"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "agbenchmark"
|
||||
version = "0.0.2"
|
||||
description = "Benchmarking the performance of agents far and wide, regardless of how they are set up and how they work"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.10,<4.0"
|
||||
files = [
|
||||
{file = "agbenchmark-0.0.3-py3-none-any.whl", hash = "sha256:5d2b7d49cec3fa80727b4de42bb0af69ee694d8da5fc901b275f8afe8dc03272"},
|
||||
{file = "agbenchmark-0.0.3.tar.gz", hash = "sha256:7b5c344be39b9fed666b74cc51b0437c51f54b9d755b0a34852421d1390b0ec7"},
|
||||
{file = "agbenchmark-0.0.2-py3-none-any.whl", hash = "sha256:87959e1e364d77fe325b1f3967232c1cac1f71c909b0af60578fe8a2445dd76f"},
|
||||
{file = "agbenchmark-0.0.2.tar.gz", hash = "sha256:da9291db298ff0ebdd18b818545e84c932d724c3c5c9010b363cc496ceb5e7df"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
click = ">=8.1.3,<9.0.0"
|
||||
gitpython = ">=3.1.32,<4.0.0"
|
||||
helicone = ">=1.0.6,<2.0.0"
|
||||
matplotlib = ">=3.7.2,<4.0.0"
|
||||
openai = ">=0.27.8,<0.28.0"
|
||||
pandas = ">=2.0.3,<3.0.0"
|
||||
pexpect = ">=4.8.0,<5.0.0"
|
||||
psutil = ">=5.9.5,<6.0.0"
|
||||
pydantic = ">=1.10.9,<2.0.0"
|
||||
pytest = ">=7.3.2,<8.0.0"
|
||||
pytest-depends = ">=1.0.1,<2.0.0"
|
||||
python-dotenv = ">=1.0.0,<2.0.0"
|
||||
python-dotenv = ">=0.21.0,<0.22.0"
|
||||
requests = ">=2.31.0,<3.0.0"
|
||||
types-requests = ">=2.31.0.1,<3.0.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "agent-protocol"
|
||||
version = "0.2.0"
|
||||
version = "0.2.3"
|
||||
description = "API for interacting with Agent"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7,<4.0.0"
|
||||
files = [
|
||||
{file = "agent_protocol-0.2.0-py3-none-any.whl", hash = "sha256:b616d3b230e6fef3b2dfbd13c9f8a40b9b3425f43797f31d903d1c18f28ea49f"},
|
||||
{file = "agent_protocol-0.2.0.tar.gz", hash = "sha256:e8ea552d2b7e7fcaf03112c4653ef4a8bc8c15a43ef35d3a89cb7fa978eee7dd"},
|
||||
{file = "agent_protocol-0.2.3-py3-none-any.whl", hash = "sha256:d4dcb51fe1f04a5d2e4ce30291d806d005ec40c91698c063295fb8bcc18bebc5"},
|
||||
{file = "agent_protocol-0.2.3.tar.gz", hash = "sha256:ebccf85a13c390c2d9f32c6a1659cccb9f6fda5708aa86bcef3fea6ec8a2cf6a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiofiles = ">=23.1.0,<24.0.0"
|
||||
click = ">=8.1.6,<9.0.0"
|
||||
fastapi = ">=0.100.0,<0.101.0"
|
||||
hypercorn = ">=0.14.4,<0.15.0"
|
||||
pydantic = ">=1.10.5,<2.0.0"
|
||||
pytest = ">=7.4.0,<8.0.0"
|
||||
pytest = ">=7.0.0,<8.0.0"
|
||||
python-multipart = ">=0.0.6,<0.0.7"
|
||||
requests = ">=2.31.0,<3.0.0"
|
||||
|
||||
[[package]]
|
||||
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|
||||
version = "0.2.2"
|
||||
description = "Agent Communication Protocol Client"
|
||||
category = "main"
|
||||
optional = false
|
||||
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|
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[package.dependencies]
|
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|
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aiohttp = ">=3.8.4"
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||||
pydantic = ">=1.10.5,<2.0.0"
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python-dateutil = ">=2.8.2"
|
||||
urllib3 = ">=1.25.3"
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|
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[[package]]
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||||
name = "aiofiles"
|
||||
version = "23.1.0"
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||||
description = "File support for asyncio."
|
||||
category = "main"
|
||||
optional = false
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]
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|
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[[package]]
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||||
name = "aiohttp"
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version = "3.8.5"
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@@ -426,77 +468,6 @@ files = [
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[[package]]
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name = "contourpy"
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||||
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||||
description = "Python library for calculating contours of 2D quadrilateral grids"
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||||
category = "main"
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||||
optional = false
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||||
python-versions = ">=3.8"
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||||
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.16"
|
||||
|
||||
[package.extras]
|
||||
bokeh = ["bokeh", "selenium"]
|
||||
docs = ["furo", "sphinx-copybutton"]
|
||||
mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pillow"]
|
||||
test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
|
||||
test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
|
||||
|
||||
[[package]]
|
||||
name = "cycler"
|
||||
version = "0.11.0"
|
||||
description = "Composable style cycles"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "dataclasses-json"
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||||
version = "0.5.9"
|
||||
@@ -597,64 +568,6 @@ mccabe = ">=0.7.0,<0.8.0"
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||||
pycodestyle = ">=2.11.0,<2.12.0"
|
||||
pyflakes = ">=3.1.0,<3.2.0"
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||||
|
||||
[[package]]
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||||
name = "fonttools"
|
||||
version = "4.42.0"
|
||||
description = "Tools to manipulate font files"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
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||||
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|
||||
|
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[package.extras]
|
||||
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||||
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|
||||
lxml = ["lxml (>=4.0,<5)"]
|
||||
pathops = ["skia-pathops (>=0.5.0)"]
|
||||
plot = ["matplotlib"]
|
||||
repacker = ["uharfbuzz (>=0.23.0)"]
|
||||
symfont = ["sympy"]
|
||||
type1 = ["xattr"]
|
||||
ufo = ["fs (>=2.2.0,<3)"]
|
||||
unicode = ["unicodedata2 (>=15.0.0)"]
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "frozenlist"
|
||||
version = "1.4.0"
|
||||
@@ -730,7 +643,7 @@ files = [
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||||
name = "future-fstrings"
|
||||
version = "1.2.0"
|
||||
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|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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files = [
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@@ -995,84 +908,6 @@ pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"
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||||
plugins = ["setuptools"]
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||||
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|
||||
[[package]]
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||||
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||||
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "langchain"
|
||||
version = "0.0.215"
|
||||
@@ -1177,68 +1012,6 @@ files = [
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||||
[package.dependencies]
|
||||
marshmallow = ">=2.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "matplotlib"
|
||||
version = "3.7.2"
|
||||
description = "Python plotting package"
|
||||
category = "main"
|
||||
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|
||||
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||||
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[[package]]
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@@ -1939,7 +1562,7 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
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slack = ["slack-sdk"]
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telegram = ["requests"]
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@@ -2269,7 +1895,7 @@ telegram = ["requests"]
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@@ -2284,7 +1910,7 @@ types-urllib3 = "*"
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||||
name = "types-urllib3"
|
||||
version = "1.26.25.14"
|
||||
description = "Typing stubs for urllib3"
|
||||
category = "main"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
@@ -2320,18 +1946,6 @@ files = [
|
||||
mypy-extensions = ">=0.3.0"
|
||||
typing-extensions = ">=3.7.4"
|
||||
|
||||
[[package]]
|
||||
name = "tzdata"
|
||||
version = "2023.3"
|
||||
description = "Provider of IANA time zone data"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2"
|
||||
files = [
|
||||
{file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
|
||||
{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "1.26.16"
|
||||
@@ -2476,4 +2090,4 @@ multidict = ">=4.0"
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "7fec72e1bc79561c59ee4367d98464d78d7cf480927a4414242d1d6bc257b875"
|
||||
content-hash = "491230f34d74e001f7150dd427a8e151d34722711e72f4fb56474d0ce25b6887"
|
||||
|
||||
@@ -9,13 +9,15 @@ readme = "README.md"
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10"
|
||||
langchain = "^0.0.215"
|
||||
python-dotenv = "^1.0.0"
|
||||
python-dotenv = "^0.21.0"
|
||||
openai = "^0.27.8"
|
||||
autopack-tools = "^0.2.0"
|
||||
psutil = "^5.9.5"
|
||||
agent-protocol = "^0.2.0"
|
||||
agent-protocol = "^0.2.2"
|
||||
helicone = "^1.0.6"
|
||||
agbenchmark = "^0.0.3"
|
||||
|
||||
tenacity = "^8.2.2"
|
||||
agent-protocol-client = "^0.2.2"
|
||||
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
@@ -24,6 +26,8 @@ black = "^23.3.0"
|
||||
pre-commit = "^3.3.3"
|
||||
mypy = "^1.4.1"
|
||||
flake8 = "^6.0.0"
|
||||
agbenchmark = "^0.0.2"
|
||||
types-requests = "^2.31.0.2"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
|
||||
Reference in New Issue
Block a user