From c5cbea00aba1f4824e5c37401d875a83cfc3bcce Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 13 Oct 2023 21:02:34 -0700 Subject: [PATCH] Add AgentProtocolServer --- .../autogpt/app/agent_protocol_server.py | 299 +++ autogpts/autogpt/poetry.lock | 2149 +++++++++++++---- autogpts/autogpt/pyproject.toml | 5 +- autogpts/forge/pyproject.toml | 1 + benchmark/pyproject.toml | 2 +- 5 files changed, 1922 insertions(+), 534 deletions(-) create mode 100644 autogpts/autogpt/autogpt/app/agent_protocol_server.py diff --git a/autogpts/autogpt/autogpt/app/agent_protocol_server.py b/autogpts/autogpt/autogpt/app/agent_protocol_server.py new file mode 100644 index 00000000..4ba5d45f --- /dev/null +++ b/autogpts/autogpt/autogpt/app/agent_protocol_server.py @@ -0,0 +1,299 @@ +import asyncio +import logging +import os +import pathlib +from io import BytesIO +from uuid import uuid4 + +from fastapi import APIRouter, FastAPI, UploadFile +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse, RedirectResponse, StreamingResponse +from fastapi.staticfiles import StaticFiles +from forge.sdk.db import AgentDB +from forge.sdk.errors import NotFoundError +from forge.sdk.routes.agent_protocol import base_router +from forge.sdk.schema import ( + Artifact, + Step, + StepRequestBody, + Task, + TaskArtifactsListResponse, + TaskListResponse, + TaskRequestBody, + TaskStepsListResponse, +) +from hypercorn.asyncio import serve as hypercorn_serve +from hypercorn.config import Config as HypercornConfig + +from autogpt.agent_factory.configurators import configure_agent_with_state +from autogpt.agent_factory.generators import generate_agent_for_task +from autogpt.agent_manager import AgentManager +from autogpt.config import Config +from autogpt.core.resource.model_providers import ChatModelProvider +from autogpt.file_workspace import FileWorkspace + +logger = logging.getLogger(__name__) + + +class AgentProtocolServer: + def __init__( + self, + app_config: Config, + database: AgentDB, + llm_provider: ChatModelProvider, + ): + self.app_config = app_config + self.db = database + self.llm_provider = llm_provider + self.agent_manager = AgentManager(app_data_dir=app_config.app_data_dir) + + def start(self, port: int = 8000, router: APIRouter = base_router): + """Start the agent server.""" + config = HypercornConfig() + config.bind = [f"localhost:{port}"] + app = FastAPI( + title="AutoGPT Server", + description="Forked from AutoGPT Forge; Modified version of The Agent Protocol.", + version="v0.4", + ) + + # Add CORS middleware + origins = [ + "http://localhost:5000", + "http://127.0.0.1:5000", + "http://localhost:8000", + "http://127.0.0.1:8000", + "http://localhost:8080", + "http://127.0.0.1:8080", + # Add any other origins you want to whitelist + ] + + app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + app.include_router(router, prefix="/ap/v1") + script_dir = os.path.dirname(os.path.realpath(__file__)) + frontend_path = ( + pathlib.Path(script_dir) + .joinpath("../../../../frontend/build/web") + .resolve() + ) + + if os.path.exists(frontend_path): + app.mount("/app", StaticFiles(directory=frontend_path), name="app") + + @app.get("/", include_in_schema=False) + async def root(): + return RedirectResponse(url="/app/index.html", status_code=307) + + else: + logger.warning( + f"Frontend not found. {frontend_path} does not exist. The frontend will not be available." + ) + + config.loglevel = "ERROR" + config.bind = [f"0.0.0.0:{port}"] + + logger.info(f"Agent server starting on http://localhost:{port}") + asyncio.run(hypercorn_serve(app, config)) + + async def create_task(self, task_request: TaskRequestBody) -> Task: + """ + Create a task for the agent. + """ + task_agent = await generate_agent_for_task( + task=task_request.input, + app_config=self.app_config, + llm_provider=self.llm_provider, + ) + task = await self.db.create_task( + input=task_request.input, + additional_input=task_request.additional_input, + ) + agent_id = task_agent.state.agent_id = task_agent_id(task.task_id) + task_agent.attach_fs(self.app_config.app_data_dir / "agents" / agent_id) + return task + + async def list_tasks(self, page: int = 1, pageSize: int = 10) -> TaskListResponse: + """ + List all tasks that the agent has created. + """ + tasks, pagination = await self.db.list_tasks(page, pageSize) + response = TaskListResponse(tasks=tasks, pagination=pagination) + return response + + async def get_task(self, task_id: int) -> Task: + """ + Get a task by ID. + """ + task = await self.db.get_task(task_id) + return task + + async def list_steps( + self, task_id: str, page: int = 1, pageSize: int = 10 + ) -> TaskStepsListResponse: + """ + List the IDs of all steps that the task has created. + """ + steps, pagination = await self.db.list_steps(task_id, page, pageSize) + response = TaskStepsListResponse(steps=steps, pagination=pagination) + return response + + async def execute_step(self, task_id: str, step_request: StepRequestBody) -> Step: + """ + Create a step for the task. + """ + agent = configure_agent_with_state( + state=self.agent_manager.retrieve_state(task_agent_id(task_id)), + app_config=self.app_config, + llm_provider=self.llm_provider, + ) + agent.workspace.on_write_file = lambda path: await self.db.create_artifact( + task_id=task_id, + file_name=path.parts[-1], + relative_path=str(path), + ) + + # Save step request + step = await self.db.create_step(task_id=task_id, input=step_request) + + # According to the Agent Protocol spec, the first execute_step request contains + # the same task input as the parent create_task request. + # To prevent this from interfering with the agent's process, we ignore the input + # of this first step request, and just generate the first step proposal. + is_init_step = not bool(agent.event_history) + execute_result = None + if is_init_step: + step_request.input = "" + elif ( + agent.event_history.current_episode + and not agent.event_history.current_episode.result + ): + if not step_request.input: + step = await self.db.update_step( + task_id=task_id, + step_id=step.step_id, + status="running", + ) + # Execute previously proposed action + execute_result = await agent.execute( + command_name=agent.event_history.current_episode.action.name, + command_args=agent.event_history.current_episode.action.args, + ) + else: + execute_result = await agent.execute( + command_name="human_feedback", # HACK + command_args={}, + user_input=step_request.input, + ) + + # Propose next action + thought_process_output = await agent.propose_action( + additional_input=step_request.input or "" + ) + step = await self.db.update_step( + task_id=task_id, + step_id=step.step_id, + status="completed", + additional_input=( + { + "action_result": execute_result, + } + if not is_init_step + else {} + ).update( + thought_process_output[2] + ), # HACK + ) + return step + + async def get_step(self, task_id: str, step_id: str) -> Step: + """ + Get a step by ID. + """ + step = await self.db.get_step(task_id, step_id) + return step + + async def list_artifacts( + self, task_id: str, page: int = 1, pageSize: int = 10 + ) -> TaskArtifactsListResponse: + """ + List the artifacts that the task has created. + """ + artifacts, pagination = await self.db.list_artifacts(task_id, page, pageSize) + return TaskArtifactsListResponse(artifacts=artifacts, pagination=pagination) + + async def create_artifact( + self, task_id: str, file: UploadFile, relative_path: str + ) -> Artifact: + """ + Create an artifact for the task. + """ + data = None + file_name = file.filename or str(uuid4()) + data = b"" + while contents := file.file.read(1024 * 1024): + data += contents + # Check if relative path ends with filename + if relative_path.endswith(file_name): + file_path = relative_path + else: + file_path = os.path.join(relative_path, file_name) + + workspace = get_task_agent_file_workspace(task_id, self.agent_manager) + workspace.write_file(file_path, data) + + artifact = await self.db.create_artifact( + task_id=task_id, + file_name=file_name, + relative_path=relative_path, + agent_created=False, + ) + return artifact + + async def get_artifact(self, task_id: str, artifact_id: str) -> Artifact: + """ + Get an artifact by ID. + """ + try: + artifact = await self.db.get_artifact(artifact_id) + if artifact.file_name not in artifact.relative_path: + file_path = os.path.join(artifact.relative_path, artifact.file_name) + else: + file_path = artifact.relative_path + workspace = get_task_agent_file_workspace(task_id, self.agent_manager) + retrieved_artifact = workspace.read_file(file_path) + except NotFoundError as e: + raise + except FileNotFoundError as e: + raise + + return StreamingResponse( + BytesIO(retrieved_artifact), + media_type="application/octet-stream", + headers={ + "Content-Disposition": f"attachment; filename={artifact.file_name}" + }, + ) + + +def task_agent_id(task_id: str | int) -> str: + return f"AutoGPT-{task_id}" + + +def get_task_agent_file_workspace( + task_id: str | int, + agent_manager: AgentManager, +) -> FileWorkspace: + return FileWorkspace( + root=agent_manager.get_agent_dir( + agent_id=task_agent_id(task_id), + must_exist=True, + ), + restrict_to_root=True, + ) diff --git a/autogpts/autogpt/poetry.lock b/autogpts/autogpt/poetry.lock index 2003c74d..bc0fb9da 100644 --- a/autogpts/autogpt/poetry.lock +++ b/autogpts/autogpt/poetry.lock @@ -26,6 +26,7 @@ colorama = "^0.4.6" fastapi = "^0.99.0" gitpython = "^3.1.32" helicone = "^1.0.9" +httpx = "^0.24.0" matplotlib = "^3.7.2" networkx = "^3.1" openai = "^0.27.8" @@ -273,7 +274,7 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte [[package]] name = "auto_gpt_plugin_template" version = "0.0.2" -description = "The template plugin for AutoGPT." +description = "The template plugin for Auto-GPT." optional = false python-versions = ">=3.8" files = [] @@ -284,7 +285,7 @@ abstract-singleton = "*" [package.source] type = "git" -url = "https://github.com/Significant-Gravitas/AutoGPT-Plugin-Template" +url = "https://github.com/Significant-Gravitas/Auto-GPT-Plugin-Template" reference = "0.1.0" resolved_reference = "7612a14c629dc64ad870eee4d05850d60e1dd9ce" @@ -303,6 +304,33 @@ files = [ pyflakes = ">=3.0.0" tomli = {version = ">=2.0.1", markers = 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orjson = "^3.8.10" Pillow = "*" @@ -60,7 +62,7 @@ fastapi = "*" uvicorn = "*" # OpenAI and Generic plugins import -openapi-python-client = "^0.13.4" +openapi-python-client = "^0.14.0" [tool.poetry.group.dev.dependencies] auto-gpt-plugin-template = {git = "https://github.com/Significant-Gravitas/Auto-GPT-Plugin-Template", rev = "0.1.0"} @@ -70,7 +72,6 @@ flake8 = "*" gitpython = "^3.1.32" isort = "*" mypy = "*" -numpy = "*" pre-commit = "*" types-beautifulsoup4 = "*" types-colorama = "*" diff --git a/autogpts/forge/pyproject.toml b/autogpts/forge/pyproject.toml index 6990bf92..8cdb9389 100644 --- a/autogpts/forge/pyproject.toml +++ b/autogpts/forge/pyproject.toml @@ -5,6 +5,7 @@ description = "" authors = ["Craig Swift "] license = "MIT" readme = "README.md" +packages = [{ include = "forge" }] [tool.poetry.dependencies] python = "^3.10" diff --git a/benchmark/pyproject.toml b/benchmark/pyproject.toml index 17a6cf77..61c987b5 100644 --- a/benchmark/pyproject.toml +++ b/benchmark/pyproject.toml @@ -31,7 +31,7 @@ fastapi = "^0.99.0" python-multipart = "^0.0.6" toml = "^0.10.2" helicone = "^1.0.9" -httpx = "^0.25.0" +httpx = "^0.24.0" [tool.poetry.group.dev.dependencies] flake8 = "^3.9.2"