mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-18 22:44:21 +01:00
* Move rename module `agent` -> `agents`
* WIP: abstract agent structure into base class and port Agent
* Move command arg path sanitization to decorator
* Add fallback token limit in llm.utils.create_chat_completion
* Rebase `MessageHistory` class on `ChatSequence` class
* Fix linting
* Consolidate logging modules
* Wham Bam Boom
* Fix tests & linting complaints
* Update Agent class docstring
* Fix Agent import in autogpt.llm.providers.openai
* Fix agent kwarg in test_execute_code.py
* Fix benchmarks.py
* Clean up lingering Agent(ai_name=...) initializations
* Fix agent kwarg
* Make sanitize_path_arg decorator more robust
* Fix linting
* Fix command enabling lambda's
* Use relative paths in file ops logger
* Fix test_execute_python_file_not_found
* Fix Config model validation breaking on .plugins
* Define validator for Config.plugins
* Fix Config model issues
* Fix agent iteration budget in testing
* Fix declaration of context_while_think
* Fix Agent.parse_and_process_response signature
* Fix Agent cycle_budget usages
* Fix budget checking in BaseAgent.__next__
* Fix cycle budget initialization
* Fix function calling in BaseAgent.think()
* Include functions in token length calculation
* Fix Config errors
* Add debug thing to patched_api_requestor to investigate HTTP 400 errors
* If this works I'm gonna be sad
* Fix BaseAgent cycle budget logic and document attributes
* Document attributes on `Agent`
* Fix import issues between Agent and MessageHistory
* Improve typing
* Extract application code from the agent (#4982)
* Extract application code from the agent
* Wrap interaction loop in a function and call in benchmarks
* Forgot the important function call
* Add docstrings and inline comments to run loop
* Update typing and docstrings in agent
* Docstring formatting
* Separate prompt construction from on_before_think
* Use `self.default_cycle_instruction` in `Agent.think()`
* Fix formatting
* hot fix the SIGINT handler (#4997)
The signal handler in the autogpt/main.py doesn't work properly because
of the clean_input(...) func. This commit remedies this issue. The issue
is mentioned in
3966cdfd69 (r1264278776)
* Update the sigint handler to be smart enough to actually work (#4999)
* Update the sigint handler to be smart enough to actually work
* Update autogpt/main.py
Co-authored-by: Reinier van der Leer <github@pwuts.nl>
* Can still use context manager
* Merge in upstream
---------
Co-authored-by: Reinier van der Leer <github@pwuts.nl>
* Fix CI
* Fix initial prompt construction
* off by one error
* allow exit/EXIT to shut down app
* Remove dead code
---------
Co-authored-by: collijk <collijk@uw.edu>
Co-authored-by: Cyrus <39694513+cyrus-hawk@users.noreply.github.com>
108 lines
3.1 KiB
Python
108 lines
3.1 KiB
Python
import os
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from pathlib import Path
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from tempfile import TemporaryDirectory
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import pytest
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import yaml
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from pytest_mock import MockerFixture
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from autogpt.agents import Agent
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from autogpt.config import AIConfig, Config, ConfigBuilder
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from autogpt.llm.api_manager import ApiManager
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from autogpt.logs import logger
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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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pytest_plugins = [
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"tests.integration.agent_factory",
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"tests.integration.memory.utils",
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"tests.vcr",
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]
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@pytest.fixture()
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def workspace_root(tmp_path: Path) -> Path:
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return tmp_path / "home/users/monty/auto_gpt_workspace"
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@pytest.fixture()
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def workspace(workspace_root: Path) -> Workspace:
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workspace_root = Workspace.make_workspace(workspace_root)
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return Workspace(workspace_root, restrict_to_workspace=True)
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@pytest.fixture
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def temp_plugins_config_file():
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"""Create a plugins_config.yaml file in a temp directory so that it doesn't mess with existing ones"""
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config_directory = TemporaryDirectory()
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config_file = os.path.join(config_directory.name, "plugins_config.yaml")
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with open(config_file, "w+") as f:
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f.write(yaml.dump({}))
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yield config_file
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@pytest.fixture()
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def config(
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temp_plugins_config_file: str, mocker: MockerFixture, workspace: Workspace
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) -> Config:
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config = ConfigBuilder.build_config_from_env()
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if not os.environ.get("OPENAI_API_KEY"):
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os.environ["OPENAI_API_KEY"] = "sk-dummy"
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# HACK: this is necessary to ensure PLAIN_OUTPUT takes effect
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logger.config = config
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config.plugins_dir = "tests/unit/data/test_plugins"
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config.plugins_config_file = temp_plugins_config_file
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# avoid circular dependency
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from autogpt.plugins.plugins_config import PluginsConfig
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config.plugins_config = PluginsConfig.load_config(
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plugins_config_file=config.plugins_config_file,
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plugins_denylist=config.plugins_denylist,
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plugins_allowlist=config.plugins_allowlist,
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)
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# Do a little setup and teardown since the config object is a singleton
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mocker.patch.multiple(
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config,
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workspace_path=workspace.root,
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file_logger_path=workspace.get_path("file_logger.txt"),
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)
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yield config
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@pytest.fixture()
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def api_manager() -> ApiManager:
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if ApiManager in ApiManager._instances:
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del ApiManager._instances[ApiManager]
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return ApiManager()
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@pytest.fixture
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def agent(config: Config, workspace: Workspace) -> Agent:
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ai_config = AIConfig(
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ai_name="Base",
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ai_role="A base AI",
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ai_goals=[],
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)
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command_registry = CommandRegistry()
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ai_config.command_registry = command_registry
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config.memory_backend = "json_file"
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memory_json_file = get_memory(config)
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memory_json_file.clear()
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return Agent(
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memory=memory_json_file,
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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=workspace.root,
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)
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