Pass Configs to Commands and remove CFG = Config() in the commands/ folder (#4328)

* feat: pass config to call_ai_functions in coimmands

* feat: config for read_audio_from_file

* feat: file operations cfg

NOTE: we replaced the CFG in the command enable with TRUE b/c not sure how to handle this yet

* feat: git command conversion

* feat: google search

* feat: image generation

* feat: extract cfg from browser commands

* feat: remove cfg from execute code commands

* fix: file operation related tests

* fix: linting

* fix: tests for read_audio

* fix: test error

* feat: update cassettes

* fix: linting

* fix: test typechecking

* fix: google_search errors if unexpected kw arg is passed

* fix: pass config param to google search test

* fix: agent commands were broken + cassettes

* fix: agent test

* feat: cassettes

* feat: enable/disable logic for commands

* fix: some commands threw errors

* feat: fix tests

* Add new cassettes

* Add new cassettes

* ci: trigger ci

* Update autogpt/commands/execute_code.py

Co-authored-by: Reinier van der Leer <github@pwuts.nl>

* fix prompt

* fix prompt + rebase

* add config remove useless imports

* put back CFG just for download file

* lint

* The signature should be mandatory in the decorator

* black isort

* fix: remove the CFG

* fix: non typed arg

* lint: type some args

* lint: add types for libraries

* Add new cassettes

* fix: windows compatibility

* fix: add config access to decorator

* fix: remove twitter mention

* DDGS search works at 3.0.2 version

* ci: linting

---------

Co-authored-by: Auto-GPT-Bot <github-bot@agpt.co>
Co-authored-by: merwanehamadi <merwanehamadi@gmail.com>
Co-authored-by: Reinier van der Leer <github@pwuts.nl>
Co-authored-by: kinance <kinance@gmail.com>

.env.template

@@ -30,7 +30,6 @@
 ## autogpt.commands.google_search
 ## autogpt.commands.image_gen
 ## autogpt.commands.improve_code
-## autogpt.commands.twitter
 ## autogpt.commands.web_selenium
 ## autogpt.commands.write_tests
 ## autogpt.app

autogpt/agent/agent.py

@@ -274,6 +274,7 @@ class Agent:
                     command_name,
                     arguments,
                     self.config.prompt_generator,
+                    config=cfg,
                 )
                 result = f"Command {command_name} returned: " f"{command_result}"
 

autogpt/app.py

@@ -6,15 +6,11 @@ from autogpt.agent.agent_manager import AgentManager
 from autogpt.commands.command import CommandRegistry, command
 from autogpt.commands.web_requests import scrape_links, scrape_text
 from autogpt.config import Config
-from autogpt.logs import logger
-from autogpt.memory.vector import get_memory
 from autogpt.processing.text import summarize_text
 from autogpt.prompts.generator import PromptGenerator
 from autogpt.speech import say_text
 from autogpt.url_utils.validators import validate_url
 
-CFG = Config()
-
 
 def is_valid_int(value: str) -> bool:
     """Check if the value is a valid integer
@@ -93,6 +89,7 @@ def execute_command(
     command_name: str,
     arguments,
     prompt: PromptGenerator,
+    config: Config,
 ):
     """Execute the command and return the result
 
@@ -108,7 +105,7 @@ def execute_command(
 
         # If the command is found, call it with the provided arguments
         if cmd:
-            return cmd(**arguments)
+            return cmd(**arguments, config=config)
 
         # TODO: Remove commands below after they are moved to the command registry.
         command_name = map_command_synonyms(command_name.lower())
@@ -135,7 +132,7 @@ def execute_command(
     "get_text_summary", "Get text summary", '"url": "<url>", "question": "<question>"'
 )
 @validate_url
-def get_text_summary(url: str, question: str) -> str:
+def get_text_summary(url: str, question: str, config: Config) -> str:
     """Get the text summary of a webpage
 
     Args:
@@ -153,7 +150,7 @@ def get_text_summary(url: str, question: str) -> str:
 
 @command("get_hyperlinks", "Get hyperlinks", '"url": "<url>"')
 @validate_url
-def get_hyperlinks(url: str) -> Union[str, List[str]]:
+def get_hyperlinks(url: str, config: Config) -> Union[str, List[str]]:
     """Get all hyperlinks on a webpage
 
     Args:
@@ -162,7 +159,7 @@ def get_hyperlinks(url: str) -> Union[str, List[str]]:
     Returns:
         str or list: The hyperlinks on the page
     """
-    return scrape_links(url)
+    return scrape_links(url, config)
 
 
 @command(
@@ -170,7 +167,7 @@ def get_hyperlinks(url: str) -> Union[str, List[str]]:
     "Start GPT Agent",
     '"name": "<name>", "task": "<short_task_desc>", "prompt": "<prompt>"',
 )
-def start_agent(name: str, task: str, prompt: str, model=CFG.fast_llm_model) -> str:
+def start_agent(name: str, task: str, prompt: str, config: Config, model=None) -> str:
     """Start an agent with a given name, task, and prompt
 
     Args:
@@ -191,11 +188,11 @@ def start_agent(name: str, task: str, prompt: str, model=CFG.fast_llm_model) ->
     agent_intro = f"{voice_name} here, Reporting for duty!"
 
     # Create agent
-    if CFG.speak_mode:
+    if config.speak_mode:
         say_text(agent_intro, 1)
     key, ack = agent_manager.create_agent(task, first_message, model)
 
-    if CFG.speak_mode:
+    if config.speak_mode:
         say_text(f"Hello {voice_name}. Your task is as follows. {task}.")
 
     # Assign task (prompt), get response
@@ -205,7 +202,7 @@ def start_agent(name: str, task: str, prompt: str, model=CFG.fast_llm_model) ->
 
 
 @command("message_agent", "Message GPT Agent", '"key": "<key>", "message": "<message>"')
-def message_agent(key: str, message: str) -> str:
+def message_agent(key: str, message: str, config: Config) -> str:
     """Message an agent with a given key and message"""
     # Check if the key is a valid integer
     if is_valid_int(key):
@@ -214,13 +211,13 @@ def message_agent(key: str, message: str) -> str:
         return "Invalid key, must be an integer."
 
     # Speak response
-    if CFG.speak_mode:
+    if config.speak_mode:
         say_text(agent_response, 1)
     return agent_response
 
 
-@command("list_agents", "List GPT Agents", "")
+@command("list_agents", "List GPT Agents", "() -> str")
-def list_agents() -> str:
+def list_agents(config: Config) -> str:
     """List all agents
 
     Returns:
@@ -232,7 +229,7 @@ def list_agents() -> str:
 
 
 @command("delete_agent", "Delete GPT Agent", '"key": "<key>"')
-def delete_agent(key: str) -> str:
+def delete_agent(key: str, config: Config) -> str:
     """Delete an agent with a given key
 
     Args:

autogpt/commands/analyze_code.py

@@ -1,16 +1,21 @@
 """Code evaluation module."""
 from __future__ import annotations
 
+from typing import TYPE_CHECKING
+
 from autogpt.commands.command import command
 from autogpt.llm.utils import call_ai_function
 
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
 
 @command(
     "analyze_code",
     "Analyze Code",
     '"code": "<full_code_string>"',
 )
-def analyze_code(code: str) -> list[str]:
+def analyze_code(code: str, config: Config) -> list[str]:
     """
     A function that takes in a string and returns a response from create chat
       completion api call.
@@ -28,4 +33,4 @@ def analyze_code(code: str) -> list[str]:
         "Analyzes the given code and returns a list of suggestions for improvements."
     )
 
-    return call_ai_function(function_string, args, description_string)
+    return call_ai_function(function_string, args, description_string, config=config)

autogpt/commands/audio_text.py

@@ -1,22 +1,25 @@
 """Commands for converting audio to text."""
 import json
+from typing import TYPE_CHECKING
 
 import requests
 
 from autogpt.commands.command import command
 from autogpt.config import Config
 
-CFG = Config()
+if TYPE_CHECKING:
+    from autogpt.config import Config
 
 
 @command(
     "read_audio_from_file",
     "Convert Audio to text",
     '"filename": "<filename>"',
-    CFG.huggingface_audio_to_text_model,
+    lambda config: config.huggingface_audio_to_text_model
-    "Configure huggingface_audio_to_text_model.",
+    and config.huggingface_api_token,
+    "Configure huggingface_audio_to_text_model and Hugging Face api token.",
 )
-def read_audio_from_file(filename: str) -> str:
+def read_audio_from_file(filename: str, config: Config) -> str:
     """
     Convert audio to text.
 
@@ -28,10 +31,10 @@ def read_audio_from_file(filename: str) -> str:
     """
     with open(filename, "rb") as audio_file:
         audio = audio_file.read()
-    return read_audio(audio)
+    return read_audio(audio, config)
 
 
-def read_audio(audio: bytes) -> str:
+def read_audio(audio: bytes, config: Config) -> str:
     """
     Convert audio to text.
 
@@ -41,9 +44,9 @@ def read_audio(audio: bytes) -> str:
     Returns:
         str: The text from the audio
     """
-    model = CFG.huggingface_audio_to_text_model
+    model = config.huggingface_audio_to_text_model
     api_url = f"https://api-inference.huggingface.co/models/{model}"
-    api_token = CFG.huggingface_api_token
+    api_token = config.huggingface_api_token
     headers = {"Authorization": f"Bearer {api_token}"}
 
     if api_token is None:

autogpt/commands/command.py

@@ -1,8 +1,9 @@
 import functools
 import importlib
 import inspect
-from typing import Any, Callable, Optional
+from typing import TYPE_CHECKING, Any, Callable, Optional
 
+from autogpt.config import Config
 from autogpt.logs import logger
 
 # Unique identifier for auto-gpt commands
@@ -24,19 +25,23 @@ class Command:
         description: str,
         method: Callable[..., Any],
         signature: str = "",
-        enabled: bool = True,
+        enabled: bool | Callable[[Config], bool] = True,
         disabled_reason: Optional[str] = None,
     ):
         self.name = name
         self.description = description
         self.method = method
-        self.signature = signature if signature else str(inspect.signature(self.method))
+        self.signature = signature
         self.enabled = enabled
         self.disabled_reason = disabled_reason
 
     def __call__(self, *args, **kwargs) -> Any:
+        if hasattr(kwargs, "config") and callable(self.enabled):
+            self.enabled = self.enabled(kwargs["config"])
         if not self.enabled:
-            return f"Command '{self.name}' is disabled: {self.disabled_reason}"
+            if self.disabled_reason:
+                return f"Command '{self.name}' is disabled: {self.disabled_reason}"
+            return f"Command '{self.name}' is disabled"
         return self.method(*args, **kwargs)
 
     def __str__(self) -> str:
@@ -133,12 +138,17 @@ class CommandRegistry:
 def command(
     name: str,
     description: str,
-    signature: str = "",
+    signature: str,
-    enabled: bool = True,
+    enabled: bool | Callable[[Config], bool] = True,
     disabled_reason: Optional[str] = None,
 ) -> Callable[..., Any]:
     """The command decorator is used to create Command objects from ordinary functions."""
 
+    # TODO: Remove this in favor of better command management
+    CFG = Config()
+
+    if callable(enabled):
+        enabled = enabled(CFG)
     if not enabled:
         if disabled_reason is not None:
             logger.debug(f"Command '{name}' is disabled: {disabled_reason}")

autogpt/commands/execute_code.py

@@ -2,6 +2,7 @@
 import os
 import subprocess
 from pathlib import Path
+from typing import TYPE_CHECKING
 
 import docker
 from docker.errors import ImageNotFound
@@ -10,11 +11,9 @@ from autogpt.commands.command import command
 from autogpt.config import Config
 from autogpt.logs import logger
 
-CFG = Config()
-
 
 @command("execute_python_file", "Execute Python File", '"filename": "<filename>"')
-def execute_python_file(filename: str) -> str:
+def execute_python_file(filename: str, config: Config) -> str:
     """Execute a Python file in a Docker container and return the output
 
     Args:
@@ -65,9 +64,9 @@ def execute_python_file(filename: str) -> str:
                     logger.info(status)
         container = client.containers.run(
             image_name,
-            ["python", str(Path(filename).relative_to(CFG.workspace_path))],
+            ["python", str(Path(filename).relative_to(config.workspace_path))],
             volumes={
-                CFG.workspace_path: {
+                config.workspace_path: {
                     "bind": "/workspace",
                     "mode": "ro",
                 }
@@ -97,7 +96,7 @@ def execute_python_file(filename: str) -> str:
         return f"Error: {str(e)}"
 
 
-def validate_command(command: str) -> bool:
+def validate_command(command: str, config: Config) -> bool:
     """Validate a command to ensure it is allowed
 
     Args:
@@ -111,13 +110,13 @@ def validate_command(command: str) -> bool:
     if not tokens:
         return False
 
-    if CFG.deny_commands and tokens[0] not in CFG.deny_commands:
+    if config.deny_commands and tokens[0] not in config.deny_commands:
         return False
 
-    for keyword in CFG.allow_commands:
+    for keyword in config.allow_commands:
         if keyword in tokens:
             return True
-    if CFG.allow_commands:
+    if config.allow_commands:
         return False
 
     return True
@@ -127,12 +126,12 @@ def validate_command(command: str) -> bool:
     "execute_shell",
     "Execute Shell Command, non-interactive commands only",
     '"command_line": "<command_line>"',
-    CFG.execute_local_commands,
+    lambda cfg: cfg.execute_local_commands,
     "You are not allowed to run local shell commands. To execute"
     " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
     "in your config file: .env - do not attempt to bypass the restriction.",
 )
-def execute_shell(command_line: str) -> str:
+def execute_shell(command_line: str, config: Config) -> str:
     """Execute a shell command and return the output
 
     Args:
@@ -141,14 +140,14 @@ def execute_shell(command_line: str) -> str:
     Returns:
         str: The output of the command
     """
-    if not validate_command(command_line):
+    if not validate_command(command_line, config):
         logger.info(f"Command '{command_line}' not allowed")
         return "Error: This Shell Command is not allowed."
 
     current_dir = Path.cwd()
     # Change dir into workspace if necessary
-    if not current_dir.is_relative_to(CFG.workspace_path):
+    if not current_dir.is_relative_to(config.workspace_path):
-        os.chdir(CFG.workspace_path)
+        os.chdir(config.workspace_path)
 
     logger.info(
         f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
@@ -167,12 +166,12 @@ def execute_shell(command_line: str) -> str:
     "execute_shell_popen",
     "Execute Shell Command, non-interactive commands only",
     '"command_line": "<command_line>"',
-    CFG.execute_local_commands,
+    lambda config: config.execute_local_commands,
     "You are not allowed to run local shell commands. To execute"
     " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
     "in your config. Do not attempt to bypass the restriction.",
 )
-def execute_shell_popen(command_line) -> str:
+def execute_shell_popen(command_line, config: Config) -> str:
     """Execute a shell command with Popen and returns an english description
     of the event and the process id
 
@@ -182,14 +181,14 @@ def execute_shell_popen(command_line) -> str:
     Returns:
         str: Description of the fact that the process started and its id
     """
-    if not validate_command(command_line):
+    if not validate_command(command_line, config):
         logger.info(f"Command '{command_line}' not allowed")
         return "Error: This Shell Command is not allowed."
 
     current_dir = os.getcwd()
     # Change dir into workspace if necessary
-    if CFG.workspace_path not in current_dir:
+    if config.workspace_path not in current_dir:
-        os.chdir(CFG.workspace_path)
+        os.chdir(config.workspace_path)
 
     logger.info(
         f"Executing command '{command_line}' in working directory '{os.getcwd()}'"

autogpt/commands/file_operations.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 import hashlib
 import os
 import os.path
-from typing import Generator, Literal
+from typing import TYPE_CHECKING, Generator, Literal
 
 import charset_normalizer
 import requests
@@ -13,13 +13,14 @@ from requests.adapters import HTTPAdapter, Retry
 
 from autogpt.commands.command import command
 from autogpt.commands.file_operations_utils import read_textual_file
-from autogpt.config import Config
 from autogpt.logs import logger
 from autogpt.memory.vector import MemoryItem, VectorMemory
 from autogpt.spinner import Spinner
 from autogpt.utils import readable_file_size
 
-CFG = Config()
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
 
 Operation = Literal["write", "append", "delete"]
 
@@ -60,7 +61,7 @@ def operations_from_log(
 def file_operations_state(log_path: str) -> dict[str, str]:
     """Iterates over the operations log and returns the expected state.
 
-    Parses a log file at CFG.file_logger_path to construct a dictionary that maps
+    Parses a log file at config.file_logger_path to construct a dictionary that maps
     each file path written or appended to its checksum. Deleted files are removed
     from the dictionary.
 
@@ -68,7 +69,7 @@ def file_operations_state(log_path: str) -> dict[str, str]:
         A dictionary mapping file paths to their checksums.
 
     Raises:
-        FileNotFoundError: If CFG.file_logger_path is not found.
+        FileNotFoundError: If config.file_logger_path is not found.
         ValueError: If the log file content is not in the expected format.
     """
     state = {}
@@ -81,7 +82,7 @@ def file_operations_state(log_path: str) -> dict[str, str]:
 
 
 def is_duplicate_operation(
-    operation: Operation, filename: str, checksum: str | None = None
+    operation: Operation, filename: str, config: Config, checksum: str | None = None
 ) -> bool:
     """Check if the operation has already been performed
 
@@ -93,7 +94,7 @@ def is_duplicate_operation(
     Returns:
         True if the operation has already been performed on the file
     """
-    state = file_operations_state(CFG.file_logger_path)
+    state = file_operations_state(config.file_logger_path)
     if operation == "delete" and filename not in state:
         return True
     if operation == "write" and state.get(filename) == checksum:
@@ -101,7 +102,9 @@ def is_duplicate_operation(
     return False
 
 
-def log_operation(operation: str, filename: str, checksum: str | None = None) -> None:
+def log_operation(
+    operation: str, filename: str, config: Config, checksum: str | None = None
+) -> None:
     """Log the file operation to the file_logger.txt
 
     Args:
@@ -113,7 +116,7 @@ def log_operation(operation: str, filename: str, checksum: str | None = None) ->
     if checksum is not None:
         log_entry += f" #{checksum}"
     logger.debug(f"Logging file operation: {log_entry}")
-    append_to_file(CFG.file_logger_path, f"{log_entry}\n", should_log=False)
+    append_to_file(config.file_logger_path, f"{log_entry}\n", config, should_log=False)
 
 
 def split_file(
@@ -149,7 +152,7 @@ def split_file(
 
 
 @command("read_file", "Read a file", '"filename": "<filename>"')
-def read_file(filename: str) -> str:
+def read_file(filename: str, config: Config) -> str:
     """Read a file and return the contents
 
     Args:
@@ -198,7 +201,7 @@ def ingest_file(
 
 
 @command("write_to_file", "Write to file", '"filename": "<filename>", "text": "<text>"')
-def write_to_file(filename: str, text: str) -> str:
+def write_to_file(filename: str, text: str, config: Config) -> str:
     """Write text to a file
 
     Args:
@@ -209,14 +212,14 @@ def write_to_file(filename: str, text: str) -> str:
         str: A message indicating success or failure
     """
     checksum = text_checksum(text)
-    if is_duplicate_operation("write", filename, checksum):
+    if is_duplicate_operation("write", filename, config, checksum):
         return "Error: File has already been updated."
     try:
         directory = os.path.dirname(filename)
         os.makedirs(directory, exist_ok=True)
         with open(filename, "w", encoding="utf-8") as f:
             f.write(text)
-        log_operation("write", filename, checksum)
+        log_operation("write", filename, config, checksum)
         return "File written to successfully."
     except Exception as err:
         return f"Error: {err}"
@@ -225,7 +228,9 @@ def write_to_file(filename: str, text: str) -> str:
 @command(
     "append_to_file", "Append to file", '"filename": "<filename>", "text": "<text>"'
 )
-def append_to_file(filename: str, text: str, should_log: bool = True) -> str:
+def append_to_file(
+    filename: str, text: str, config: Config, should_log: bool = True
+) -> str:
     """Append text to a file
 
     Args:
@@ -245,7 +250,7 @@ def append_to_file(filename: str, text: str, should_log: bool = True) -> str:
         if should_log:
             with open(filename, "r", encoding="utf-8") as f:
                 checksum = text_checksum(f.read())
-            log_operation("append", filename, checksum=checksum)
+            log_operation("append", filename, config, checksum=checksum)
 
         return "Text appended successfully."
     except Exception as err:
@@ -253,7 +258,7 @@ def append_to_file(filename: str, text: str, should_log: bool = True) -> str:
 
 
 @command("delete_file", "Delete file", '"filename": "<filename>"')
-def delete_file(filename: str) -> str:
+def delete_file(filename: str, config: Config) -> str:
     """Delete a file
 
     Args:
@@ -262,18 +267,18 @@ def delete_file(filename: str) -> str:
     Returns:
         str: A message indicating success or failure
     """
-    if is_duplicate_operation("delete", filename):
+    if is_duplicate_operation("delete", filename, config):
         return "Error: File has already been deleted."
     try:
         os.remove(filename)
-        log_operation("delete", filename)
+        log_operation("delete", filename, config)
         return "File deleted successfully."
     except Exception as err:
         return f"Error: {err}"
 
 
 @command("list_files", "List Files in Directory", '"directory": "<directory>"')
-def list_files(directory: str) -> list[str]:
+def list_files(directory: str, config: Config) -> list[str]:
     """lists files in a directory recursively
 
     Args:
@@ -289,7 +294,7 @@ def list_files(directory: str) -> list[str]:
             if file.startswith("."):
                 continue
             relative_path = os.path.relpath(
-                os.path.join(root, file), CFG.workspace_path
+                os.path.join(root, file), config.workspace_path
             )
             found_files.append(relative_path)
 
@@ -300,10 +305,10 @@ def list_files(directory: str) -> list[str]:
     "download_file",
     "Download File",
     '"url": "<url>", "filename": "<filename>"',
-    CFG.allow_downloads,
+    lambda config: config.allow_downloads,
     "Error: You do not have user authorization to download files locally.",
 )
-def download_file(url, filename):
+def download_file(url, filename, config: Config):
     """Downloads a file
     Args:
         url (str): URL of the file to download

autogpt/commands/file_operations_utils.py

@@ -14,13 +14,13 @@ from autogpt.logs import logger
 
 
 class ParserStrategy:
-    def read(self, file_path: str):
+    def read(self, file_path: str) -> str:
         raise NotImplementedError
 
 
 # Basic text file reading
 class TXTParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         charset_match = charset_normalizer.from_path(file_path).best()
         logger.debug(f"Reading '{file_path}' with encoding '{charset_match.encoding}'")
         return str(charset_match)
@@ -28,7 +28,7 @@ class TXTParser(ParserStrategy):
 
 # Reading text from binary file using pdf parser
 class PDFParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         parser = PyPDF2.PdfReader(file_path)
         text = ""
         for page_idx in range(len(parser.pages)):
@@ -38,7 +38,7 @@ class PDFParser(ParserStrategy):
 
 # Reading text from binary file using docs parser
 class DOCXParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         doc_file = docx.Document(file_path)
         text = ""
         for para in doc_file.paragraphs:
@@ -48,7 +48,7 @@ class DOCXParser(ParserStrategy):
 
 # Reading as dictionary and returning string format
 class JSONParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         with open(file_path, "r") as f:
             data = json.load(f)
             text = str(data)
@@ -56,7 +56,7 @@ class JSONParser(ParserStrategy):
 
 
 class XMLParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         with open(file_path, "r") as f:
             soup = BeautifulSoup(f, "xml")
             text = soup.get_text()
@@ -65,7 +65,7 @@ class XMLParser(ParserStrategy):
 
 # Reading as dictionary and returning string format
 class YAMLParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         with open(file_path, "r") as f:
             data = yaml.load(f, Loader=yaml.FullLoader)
             text = str(data)
@@ -73,7 +73,7 @@ class YAMLParser(ParserStrategy):
 
 
 class HTMLParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         with open(file_path, "r") as f:
             soup = BeautifulSoup(f, "html.parser")
             text = soup.get_text()
@@ -81,7 +81,7 @@ class HTMLParser(ParserStrategy):
 
 
 class MarkdownParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         with open(file_path, "r") as f:
             html = markdown.markdown(f.read())
             text = "".join(BeautifulSoup(html, "html.parser").findAll(string=True))
@@ -89,7 +89,7 @@ class MarkdownParser(ParserStrategy):
 
 
 class LaTeXParser(ParserStrategy):
-    def read(self, file_path):
+    def read(self, file_path: str) -> str:
         with open(file_path, "r") as f:
             latex = f.read()
         text = LatexNodes2Text().latex_to_text(latex)
@@ -101,11 +101,11 @@ class FileContext:
         self.parser = parser
         self.logger = logger
 
-    def set_parser(self, parser: ParserStrategy):
+    def set_parser(self, parser: ParserStrategy) -> None:
         self.logger.debug(f"Setting Context Parser to {parser}")
         self.parser = parser
 
-    def read_file(self, file_path):
+    def read_file(self, file_path) -> str:
         self.logger.debug(f"Reading file {file_path} with parser {self.parser}")
         return self.parser.read(file_path)
 
@@ -144,7 +144,7 @@ def is_file_binary_fn(file_path: str):
     return False
 
 
-def read_textual_file(file_path: str, logger: logs.Logger):
+def read_textual_file(file_path: str, logger: logs.Logger) -> str:
     if not os.path.isfile(file_path):
         raise FileNotFoundError(f"{file_path} not found!")
     is_binary = is_file_binary_fn(file_path)

autogpt/commands/git_operations.py

@@ -1,22 +1,25 @@
 """Git operations for autogpt"""
+from typing import TYPE_CHECKING
+
 from git.repo import Repo
 
 from autogpt.commands.command import command
 from autogpt.config import Config
 from autogpt.url_utils.validators import validate_url
 
-CFG = Config()
+if TYPE_CHECKING:
+    from autogpt.config import Config
 
 
 @command(
     "clone_repository",
     "Clone Repository",
     '"url": "<repository_url>", "clone_path": "<clone_path>"',
-    CFG.github_username and CFG.github_api_key,
+    lambda config: config.github_username and config.github_api_key,
     "Configure github_username and github_api_key.",
 )
 @validate_url
-def clone_repository(url: str, clone_path: str) -> str:
+def clone_repository(url: str, clone_path: str, config: Config) -> str:
     """Clone a GitHub repository locally.
 
     Args:
@@ -27,7 +30,9 @@ def clone_repository(url: str, clone_path: str) -> str:
         str: The result of the clone operation.
     """
     split_url = url.split("//")
-    auth_repo_url = f"//{CFG.github_username}:{CFG.github_api_key}@".join(split_url)
+    auth_repo_url = f"//{config.github_username}:{config.github_api_key}@".join(
+        split_url
+    )
     try:
         Repo.clone_from(url=auth_repo_url, to_path=clone_path)
         return f"""Cloned {url} to {clone_path}"""

autogpt/commands/google_search.py

@@ -3,17 +3,23 @@ from __future__ import annotations
 
 import json
 from itertools import islice
+from typing import TYPE_CHECKING
 
 from duckduckgo_search import DDGS
 
 from autogpt.commands.command import command
-from autogpt.config import Config
 
-CFG = Config()
+if TYPE_CHECKING:
+    from autogpt.config import Config
 
 
-@command("google", "Google Search", '"query": "<query>"', not CFG.google_api_key)
+@command(
-def google_search(query: str, num_results: int = 8) -> str:
+    "google",
+    "Google Search",
+    '"query": "<query>"',
+    lambda config: not config.google_api_key,
+)
+def google_search(query: str, config: Config, num_results: int = 8) -> str:
     """Return the results of a Google search
 
     Args:
@@ -42,10 +48,12 @@ def google_search(query: str, num_results: int = 8) -> str:
     "google",
     "Google Search",
     '"query": "<query>"',
-    bool(CFG.google_api_key) and bool(CFG.custom_search_engine_id),
+    lambda config: bool(config.google_api_key) and bool(config.custom_search_engine_id),
     "Configure google_api_key and custom_search_engine_id.",
 )
-def google_official_search(query: str, num_results: int = 8) -> str | list[str]:
+def google_official_search(
+    query: str, config: Config, num_results: int = 8
+) -> str | list[str]:
     """Return the results of a Google search using the official Google API
 
     Args:
@@ -61,8 +69,8 @@ def google_official_search(query: str, num_results: int = 8) -> str | list[str]:
 
     try:
         # Get the Google API key and Custom Search Engine ID from the config file
-        api_key = CFG.google_api_key
+        api_key = config.google_api_key
-        custom_search_engine_id = CFG.custom_search_engine_id
+        custom_search_engine_id = config.custom_search_engine_id
 
         # Initialize the Custom Search API service
         service = build("customsearch", "v1", developerKey=api_key)

autogpt/commands/image_gen.py

@@ -4,6 +4,7 @@ import json
 import time
 import uuid
 from base64 import b64decode
+from typing import TYPE_CHECKING
 
 import openai
 import requests
@@ -13,11 +14,18 @@ from autogpt.commands.command import command
 from autogpt.config import Config
 from autogpt.logs import logger
 
-CFG = Config()
+if TYPE_CHECKING:
+    from autogpt.config import Config
 
 
-@command("generate_image", "Generate Image", '"prompt": "<prompt>"', CFG.image_provider)
+@command(
-def generate_image(prompt: str, size: int = 256) -> str:
+    "generate_image",
+    "Generate Image",
+    '"prompt": "<prompt>"',
+    lambda config: config.image_provider,
+    "Requires a image provider to be set.",
+)
+def generate_image(prompt: str, config: Config, size: int = 256) -> str:
     """Generate an image from a prompt.
 
     Args:
@@ -27,21 +35,21 @@ def generate_image(prompt: str, size: int = 256) -> str:
     Returns:
         str: The filename of the image
     """
-    filename = f"{CFG.workspace_path}/{str(uuid.uuid4())}.jpg"
+    filename = f"{config.workspace_path}/{str(uuid.uuid4())}.jpg"
 
     # DALL-E
-    if CFG.image_provider == "dalle":
+    if config.image_provider == "dalle":
-        return generate_image_with_dalle(prompt, filename, size)
+        return generate_image_with_dalle(prompt, filename, size, config)
     # HuggingFace
-    elif CFG.image_provider == "huggingface":
+    elif config.image_provider == "huggingface":
-        return generate_image_with_hf(prompt, filename)
+        return generate_image_with_hf(prompt, filename, config)
     # SD WebUI
-    elif CFG.image_provider == "sdwebui":
+    elif config.image_provider == "sdwebui":
-        return generate_image_with_sd_webui(prompt, filename, size)
+        return generate_image_with_sd_webui(prompt, filename, config, size)
     return "No Image Provider Set"
 
 
-def generate_image_with_hf(prompt: str, filename: str) -> str:
+def generate_image_with_hf(prompt: str, filename: str, config: Config) -> str:
     """Generate an image with HuggingFace's API.
 
     Args:
@@ -52,14 +60,14 @@ def generate_image_with_hf(prompt: str, filename: str) -> str:
         str: The filename of the image
     """
     API_URL = (
-        f"https://api-inference.huggingface.co/models/{CFG.huggingface_image_model}"
+        f"https://api-inference.huggingface.co/models/{config.huggingface_image_model}"
     )
-    if CFG.huggingface_api_token is None:
+    if config.huggingface_api_token is None:
         raise ValueError(
             "You need to set your Hugging Face API token in the config file."
         )
     headers = {
-        "Authorization": f"Bearer {CFG.huggingface_api_token}",
+        "Authorization": f"Bearer {config.huggingface_api_token}",
         "X-Use-Cache": "false",
     }
 
@@ -101,7 +109,9 @@ def generate_image_with_hf(prompt: str, filename: str) -> str:
     return f"Error creating image."
 
 
-def generate_image_with_dalle(prompt: str, filename: str, size: int) -> str:
+def generate_image_with_dalle(
+    prompt: str, filename: str, size: int, config: Config
+) -> str:
     """Generate an image with DALL-E.
 
     Args:
@@ -126,7 +136,7 @@ def generate_image_with_dalle(prompt: str, filename: str, size: int) -> str:
         n=1,
         size=f"{size}x{size}",
         response_format="b64_json",
-        api_key=CFG.openai_api_key,
+        api_key=config.openai_api_key,
     )
 
     logger.info(f"Image Generated for prompt:{prompt}")
@@ -142,6 +152,7 @@ def generate_image_with_dalle(prompt: str, filename: str, size: int) -> str:
 def generate_image_with_sd_webui(
     prompt: str,
     filename: str,
+    config: Config,
     size: int = 512,
     negative_prompt: str = "",
     extra: dict = {},
@@ -158,13 +169,13 @@ def generate_image_with_sd_webui(
     """
     # Create a session and set the basic auth if needed
     s = requests.Session()
-    if CFG.sd_webui_auth:
+    if config.sd_webui_auth:
-        username, password = CFG.sd_webui_auth.split(":")
+        username, password = config.sd_webui_auth.split(":")
         s.auth = (username, password or "")
 
     # Generate the images
     response = requests.post(
-        f"{CFG.sd_webui_url}/sdapi/v1/txt2img",
+        f"{config.sd_webui_url}/sdapi/v1/txt2img",
         json={
             "prompt": prompt,
             "negative_prompt": negative_prompt,

autogpt/commands/improve_code.py

@@ -1,17 +1,21 @@
 from __future__ import annotations
 
 import json
+from typing import TYPE_CHECKING
 
 from autogpt.commands.command import command
 from autogpt.llm.utils import call_ai_function
 
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
 
 @command(
     "improve_code",
     "Get Improved Code",
     '"suggestions": "<list_of_suggestions>", "code": "<full_code_string>"',
 )
-def improve_code(suggestions: list[str], code: str) -> str:
+def improve_code(suggestions: list[str], code: str, config: Config) -> str:
     """
     A function that takes in code and suggestions and returns a response from create
       chat completion api call.
@@ -32,4 +36,4 @@ def improve_code(suggestions: list[str], code: str) -> str:
         " provided, making no other changes."
     )
 
-    return call_ai_function(function_string, args, description_string)
+    return call_ai_function(function_string, args, description_string, config=config)

autogpt/commands/task_statuses.py

@@ -1,18 +1,21 @@
 """Task Statuses module."""
 from __future__ import annotations
 
-from typing import NoReturn
+from typing import TYPE_CHECKING, NoReturn
 
 from autogpt.commands.command import command
 from autogpt.logs import logger
 
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
 
 @command(
     "task_complete",
     "Task Complete (Shutdown)",
     '"reason": "<reason>"',
 )
-def task_complete(reason: str) -> NoReturn:
+def task_complete(reason: str, config: Config) -> NoReturn:
     """
     A function that takes in a string and exits the program
 

autogpt/commands/web_requests.py

@@ -9,15 +9,12 @@ from autogpt.config import Config
 from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
 from autogpt.url_utils.validators import validate_url
 
-CFG = Config()
-
 session = requests.Session()
-session.headers.update({"User-Agent": CFG.user_agent})
 
 
 @validate_url
 def get_response(
-    url: str, timeout: int = 10
+    url: str, config: Config, timeout: int = 10
 ) -> tuple[None, str] | tuple[Response, None]:
     """Get the response from a URL
 
@@ -33,6 +30,7 @@ def get_response(
         requests.exceptions.RequestException: If the HTTP request fails
     """
     try:
+        session.headers.update({"User-Agent": config.user_agent})
         response = session.get(url, timeout=timeout)
 
         # Check if the response contains an HTTP error
@@ -50,7 +48,7 @@ def get_response(
         return None, f"Error: {str(re)}"
 
 
-def scrape_text(url: str) -> str:
+def scrape_text(url: str, config: Config) -> str:
     """Scrape text from a webpage
 
     Args:
@@ -59,7 +57,7 @@ def scrape_text(url: str) -> str:
     Returns:
         str: The scraped text
     """
-    response, error_message = get_response(url)
+    response, error_message = get_response(url, config)
     if error_message:
         return error_message
     if not response:
@@ -78,7 +76,7 @@ def scrape_text(url: str) -> str:
     return text
 
 
-def scrape_links(url: str) -> str | list[str]:
+def scrape_links(url: str, config: Config) -> str | list[str]:
     """Scrape links from a webpage
 
     Args:
@@ -87,7 +85,7 @@ def scrape_links(url: str) -> str | list[str]:
     Returns:
        str | list[str]: The scraped links
     """
-    response, error_message = get_response(url)
+    response, error_message = get_response(url, config)
     if error_message:
         return error_message
     if not response:

autogpt/commands/web_selenium.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 import logging
 from pathlib import Path
 from sys import platform
-from typing import Optional, Type
+from typing import TYPE_CHECKING, Optional, Type
 
 from bs4 import BeautifulSoup
 from selenium.common.exceptions import WebDriverException
@@ -28,17 +28,17 @@ from webdriver_manager.firefox import GeckoDriverManager
 from webdriver_manager.microsoft import EdgeChromiumDriverManager as EdgeDriverManager
 
 from autogpt.commands.command import command
-from autogpt.config import Config
 from autogpt.logs import logger
 from autogpt.memory.vector import MemoryItem, NoMemory, get_memory
 from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
-from autogpt.processing.text import summarize_text
 from autogpt.url_utils.validators import validate_url
 
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
 BrowserOptions = ChromeOptions | EdgeOptions | FirefoxOptions | SafariOptions
 
 FILE_DIR = Path(__file__).parent.parent
-CFG = Config()
 
 
 @command(
@@ -47,7 +47,7 @@ CFG = Config()
     '"url": "<url>", "question": "<what_you_want_to_find_on_website>"',
 )
 @validate_url
-def browse_website(url: str, question: str) -> str:
+def browse_website(url: str, question: str, config: Config) -> str:
     """Browse a website and return the answer and links to the user
 
     Args:
@@ -58,7 +58,7 @@ def browse_website(url: str, question: str) -> str:
         Tuple[str, WebDriver]: The answer and links to the user and the webdriver
     """
     try:
-        driver, text = scrape_text_with_selenium(url)
+        driver, text = scrape_text_with_selenium(url, config)
     except WebDriverException as e:
         # These errors are often quite long and include lots of context.
         # Just grab the first line.
@@ -66,7 +66,7 @@ def browse_website(url: str, question: str) -> str:
         return f"Error: {msg}"
 
     add_header(driver)
-    summary = summarize_memorize_webpage(url, text, question, driver)
+    summary = summarize_memorize_webpage(url, text, question, config, driver)
     links = scrape_links_with_selenium(driver, url)
 
     # Limit links to 5
@@ -76,7 +76,7 @@ def browse_website(url: str, question: str) -> str:
     return f"Answer gathered from website: {summary}\n\nLinks: {links}"
 
 
-def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
+def scrape_text_with_selenium(url: str, config: Config) -> tuple[WebDriver, str]:
     """Scrape text from a website using selenium
 
     Args:
@@ -94,23 +94,23 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
         "safari": SafariOptions,
     }
 
-    options: BrowserOptions = options_available[CFG.selenium_web_browser]()
+    options: BrowserOptions = options_available[config.selenium_web_browser]()
     options.add_argument(
         "user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.49 Safari/537.36"
     )
 
-    if CFG.selenium_web_browser == "firefox":
+    if config.selenium_web_browser == "firefox":
-        if CFG.selenium_headless:
+        if config.selenium_headless:
             options.headless = True
             options.add_argument("--disable-gpu")
         driver = FirefoxDriver(
             service=GeckoDriverService(GeckoDriverManager().install()), options=options
         )
-    elif CFG.selenium_web_browser == "edge":
+    elif config.selenium_web_browser == "edge":
         driver = EdgeDriver(
             service=EdgeDriverService(EdgeDriverManager().install()), options=options
         )
-    elif CFG.selenium_web_browser == "safari":
+    elif config.selenium_web_browser == "safari":
         # Requires a bit more setup on the users end
         # See https://developer.apple.com/documentation/webkit/testing_with_webdriver_in_safari
         driver = SafariDriver(options=options)
@@ -120,7 +120,7 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
             options.add_argument("--remote-debugging-port=9222")
 
         options.add_argument("--no-sandbox")
-        if CFG.selenium_headless:
+        if config.selenium_headless:
             options.add_argument("--headless=new")
             options.add_argument("--disable-gpu")
 
@@ -202,7 +202,11 @@ def add_header(driver: WebDriver) -> None:
 
 
 def summarize_memorize_webpage(
-    url: str, text: str, question: str, driver: Optional[WebDriver] = None
+    url: str,
+    text: str,
+    question: str,
+    config: Config,
+    driver: Optional[WebDriver] = None,
 ) -> str:
     """Summarize text using the OpenAI API
 
@@ -221,7 +225,7 @@ def summarize_memorize_webpage(
     text_length = len(text)
     logger.info(f"Text length: {text_length} characters")
 
-    memory = get_memory(CFG)
+    memory = get_memory(config)
 
     new_memory = MemoryItem.from_webpage(text, url, question=question)
     memory.add(new_memory)

autogpt/commands/write_tests.py

@@ -2,17 +2,21 @@
 from __future__ import annotations
 
 import json
+from typing import TYPE_CHECKING
 
 from autogpt.commands.command import command
 from autogpt.llm.utils import call_ai_function
 
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
 
 @command(
     "write_tests",
     "Write Tests",
     '"code": "<full_code_string>", "focus": "<list_of_focus_areas>"',
 )
-def write_tests(code: str, focus: list[str]) -> str:
+def write_tests(code: str, focus: list[str], config: Config) -> str:
     """
     A function that takes in code and focus topics and returns a response from create
       chat completion api call.
@@ -34,4 +38,4 @@ def write_tests(code: str, focus: list[str]) -> str:
         " specific areas if required."
     )
 
-    return call_ai_function(function_string, args, description_string)
+    return call_ai_function(function_string, args, description_string, config=config)

autogpt/config/ai_config.py

@@ -7,13 +7,14 @@ from __future__ import annotations
 import os
 import platform
 from pathlib import Path
-from typing import Optional
+from typing import TYPE_CHECKING, Optional
 
 import distro
 import yaml
 
-from autogpt.commands.command import CommandRegistry
+if TYPE_CHECKING:
-from autogpt.prompts.generator import PromptGenerator
+    from autogpt.commands.command import CommandRegistry
+    from autogpt.prompts.generator import PromptGenerator
 
 # Soon this will go in a folder where it remembers more stuff about the run(s)
 SAVE_FILE = str(Path(os.getcwd()) / "ai_settings.yaml")

autogpt/configurator.py

@@ -1,19 +1,22 @@
 """Configurator module."""
 from __future__ import annotations
 
+from typing import TYPE_CHECKING
+
 import click
 from colorama import Back, Fore, Style
 
 from autogpt import utils
-from autogpt.config import Config
 from autogpt.llm.utils import check_model
 from autogpt.logs import logger
 from autogpt.memory.vector import get_supported_memory_backends
 
-CFG = Config()
+if TYPE_CHECKING:
+    from autogpt.config import Config
 
 
 def create_config(
+    config: Config,
     continuous: bool,
     continuous_limit: int,
     ai_settings_file: str,
@@ -45,15 +48,15 @@ def create_config(
         allow_downloads (bool): Whether to allow Auto-GPT to download files natively
         skips_news (bool): Whether to suppress the output of latest news on startup
     """
-    CFG.set_debug_mode(False)
+    config.set_debug_mode(False)
-    CFG.set_continuous_mode(False)
+    config.set_continuous_mode(False)
-    CFG.set_speak_mode(False)
+    config.set_speak_mode(False)
-    CFG.set_fast_llm_model(check_model(CFG.fast_llm_model, "fast_llm_model"))
+    config.set_fast_llm_model(check_model(config.fast_llm_model, "fast_llm_model"))
-    CFG.set_smart_llm_model(check_model(CFG.smart_llm_model, "smart_llm_model"))
+    config.set_smart_llm_model(check_model(config.smart_llm_model, "smart_llm_model"))
 
     if debug:
         logger.typewriter_log("Debug Mode: ", Fore.GREEN, "ENABLED")
-        CFG.set_debug_mode(True)
+        config.set_debug_mode(True)
 
     if continuous:
         logger.typewriter_log("Continuous Mode: ", Fore.RED, "ENABLED")
@@ -64,13 +67,13 @@ def create_config(
             " cause your AI to run forever or carry out actions you would not usually"
             " authorise. Use at your own risk.",
         )
-        CFG.set_continuous_mode(True)
+        config.set_continuous_mode(True)
 
         if continuous_limit:
             logger.typewriter_log(
                 "Continuous Limit: ", Fore.GREEN, f"{continuous_limit}"
             )
-            CFG.set_continuous_limit(continuous_limit)
+            config.set_continuous_limit(continuous_limit)
 
     # Check if continuous limit is used without continuous mode
     if continuous_limit and not continuous:
@@ -78,15 +81,15 @@ def create_config(
 
     if speak:
         logger.typewriter_log("Speak Mode: ", Fore.GREEN, "ENABLED")
-        CFG.set_speak_mode(True)
+        config.set_speak_mode(True)
 
     if gpt3only:
         logger.typewriter_log("GPT3.5 Only Mode: ", Fore.GREEN, "ENABLED")
-        CFG.set_smart_llm_model(CFG.fast_llm_model)
+        config.set_smart_llm_model(config.fast_llm_model)
 
     if gpt4only:
         logger.typewriter_log("GPT4 Only Mode: ", Fore.GREEN, "ENABLED")
-        CFG.set_fast_llm_model(CFG.smart_llm_model)
+        config.set_fast_llm_model(config.smart_llm_model)
 
     if memory_type:
         supported_memory = get_supported_memory_backends()
@@ -97,13 +100,13 @@ def create_config(
                 Fore.RED,
                 f"{supported_memory}",
             )
-            logger.typewriter_log("Defaulting to: ", Fore.YELLOW, CFG.memory_backend)
+            logger.typewriter_log("Defaulting to: ", Fore.YELLOW, config.memory_backend)
         else:
-            CFG.memory_backend = chosen
+            config.memory_backend = chosen
 
     if skip_reprompt:
         logger.typewriter_log("Skip Re-prompt: ", Fore.GREEN, "ENABLED")
-        CFG.skip_reprompt = True
+        config.skip_reprompt = True
 
     if ai_settings_file:
         file = ai_settings_file
@@ -116,8 +119,8 @@ def create_config(
             exit(1)
 
         logger.typewriter_log("Using AI Settings File:", Fore.GREEN, file)
-        CFG.ai_settings_file = file
+        config.ai_settings_file = file
-        CFG.skip_reprompt = True
+        config.skip_reprompt = True
 
     if prompt_settings_file:
         file = prompt_settings_file
@@ -130,10 +133,10 @@ def create_config(
             exit(1)
 
         logger.typewriter_log("Using Prompt Settings File:", Fore.GREEN, file)
-        CFG.prompt_settings_file = file
+        config.prompt_settings_file = file
 
     if browser_name:
-        CFG.selenium_web_browser = browser_name
+        config.selenium_web_browser = browser_name
 
     if allow_downloads:
         logger.typewriter_log("Native Downloading:", Fore.GREEN, "ENABLED")
@@ -148,7 +151,7 @@ def create_config(
             Fore.YELLOW,
             f"{Back.RED + Style.BRIGHT}ALWAYS REMEMBER TO NEVER OPEN FILES YOU AREN'T SURE OF!{Style.RESET_ALL}",
         )
-        CFG.allow_downloads = True
+        config.allow_downloads = True
 
     if skip_news:
-        CFG.skip_news = True
+        config.skip_news = True

autogpt/llm/utils/__init__.py

@@ -109,7 +109,11 @@ def retry_openai_api(
 
 
 def call_ai_function(
-    function: str, args: list, description: str, model: str | None = None
+    function: str,
+    args: list,
+    description: str,
+    model: str | None = None,
+    config: Config = None,
 ) -> str:
     """Call an AI function
 
@@ -125,9 +129,8 @@ def call_ai_function(
     Returns:
         str: The response from the function
     """
-    cfg = Config()
     if model is None:
-        model = cfg.smart_llm_model
+        model = config.smart_llm_model
     # For each arg, if any are None, convert to "None":
     args = [str(arg) if arg is not None else "None" for arg in args]
     # parse args to comma separated string

autogpt/main.py

@@ -49,6 +49,7 @@ def run_auto_gpt(
     check_openai_api_key()
 
     create_config(
+        cfg,
         continuous,
         continuous_limit,
         ai_settings,

requirements.txt

@@ -40,6 +40,10 @@ auto-gpt-plugin-template @ git+https://github.com/Significant-Gravitas/Auto-GPT-
 mkdocs
 pymdown-extensions
 mypy
+types-Markdown
+types-beautifulsoup4
+types-colorama
+types-Pillow
 
 # OpenAI and Generic plugins import
 openapi-python-client==0.13.4

tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml

@@ -1098,6 +1098,399 @@ interactions:
     status:
       code: 200
       message: OK
+- request:
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+      start_agent: Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
+      \"prompt\": \"<prompt>\"\n12. task_complete: Task Complete (Shutdown), args:
+      \"reason\": \"<reason>\"\n\nResources:\n1. Internet access for searches and
+      information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered
+      Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1.
+      Continuously review and analyze your actions to ensure you are performing to
+      the best of your abilities.\n2. Constructively self-criticize your big-picture
+      behavior constantly.\n3. Reflect on past decisions and strategies to refine
+      your approach.\n4. Every command has a cost, so be smart and efficient. Aim
+      to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou
+      should only respond in JSON format as described below \nResponse Format: \n{\n    \"thoughts\":
+      {\n        \"text\": \"thought\",\n        \"reasoning\": \"reasoning\",\n        \"plan\":
+      \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n        \"criticism\":
+      \"constructive self-criticism\",\n        \"speak\": \"thoughts summary to say
+      to user\"\n    },\n    \"command\": {\n        \"name\": \"command name\",\n        \"args\":
+      {\n            \"arg name\": \"value\"\n        }\n    }\n} \nEnsure the response
+      can be parsed by Python json.loads"}, {"role": "system", "content": "The current
+      time and date is Tue Jan  1 00:00:00 2000"}, {"role": "system", "content": "This
+      reminds you of these events from your past: \nI was created"}, {"role": "user",
+      "content": "Determine which next command to use, and respond using the format
+      specified above:"}, {"role": "assistant", "content": "{\n    \"thoughts\": {\n        \"text\":
+      \"I need to use the write_to_file command to write ''Hello World'' into a file
+      named ''hello_world.txt''.\",\n        \"reasoning\": \"Since the goal is to
+      write ''Hello World'' into a file, the write_to_file command is the most appropriate
+      command to use.\",\n        \"plan\": \"- Use the write_to_file command to write
+      ''Hello World'' into a file named ''hello_world.txt''.\",\n        \"criticism\":
+      \"I need to ensure that I use the correct arguments for the write_to_file command.\",\n        \"speak\":
+      \"I will use the write_to_file command to write ''Hello World'' into a file
+      named ''hello_world.txt''.\"\n    },\n    \"command\": {\n        \"name\":
+      \"write_to_file\",\n        \"args\": {\n            \"filename\": \"hello_world.txt\",\n            \"text\":
+      \"Hello World\"\n        }\n    }\n}"}, {"role": "system", "content": "Command
+      write_to_file returned: File written to successfully."}, {"role": "user", "content":
+      "Determine which next command to use, and respond using the format specified
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+    headers:
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 version: 1

tests/integration/challenges/basic_abilities/test_browse_website.py

@@ -13,9 +13,11 @@ def test_browse_website(
     browser_agent: Agent,
     patched_api_requestor: None,
     monkeypatch: pytest.MonkeyPatch,
+    # config: Config,
 ) -> None:
     file_path = browser_agent.workspace.get_path("browse_website.txt")
     run_interaction_loop(monkeypatch, browser_agent, CYCLE_COUNT)
 
+    # content = read_file(file_path, config)
     content = open(file_path, encoding="utf-8").read()
     assert "£25.89" in content, f"Expected £25.89, got {content}"

tests/integration/challenges/basic_abilities/test_write_file.py

@@ -2,6 +2,7 @@ import pytest
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file
+from autogpt.config import Config
 from tests.integration.challenges.utils import run_interaction_loop
 from tests.utils import requires_api_key
 
@@ -14,9 +15,10 @@ def test_write_file(
     writer_agent: Agent,
     patched_api_requestor: None,
     monkeypatch: pytest.MonkeyPatch,
+    config: Config,
 ) -> None:
     file_path = str(writer_agent.workspace.get_path("hello_world.txt"))
     run_interaction_loop(monkeypatch, writer_agent, CYCLE_COUNT)
 
-    content = read_file(file_path)
+    content = read_file(file_path, config)
     assert content == "Hello World", f"Expected 'Hello World', got {content}"

tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py

@@ -1,6 +1,9 @@
+import typing
+
 import pytest
 
 from autogpt.commands.file_operations import read_file, write_to_file
+from autogpt.config import Config
 from tests.integration.challenges.utils import run_interaction_loop, run_multiple_times
 from tests.utils import requires_api_key
 
@@ -16,6 +19,7 @@ def test_information_retrieval_challenge_a(
     get_company_revenue_agent: Agent,
     monkeypatch: pytest.MonkeyPatch,
     patched_api_requestor: None,
+    config: Config,
 ) -> None:
     """
     Test the challenge_a function in a given agent by mocking user inputs and checking the output file content.
@@ -26,5 +30,5 @@ def test_information_retrieval_challenge_a(
     run_interaction_loop(monkeypatch, get_company_revenue_agent, CYCLE_COUNT)
 
     file_path = str(get_company_revenue_agent.workspace.get_path("output.txt"))
-    content = read_file(file_path)
+    content = read_file(file_path, config)
     assert "81" in content, "Expected the file to contain 81"

tests/integration/challenges/kubernetes/test_kubernetes_template_challenge_a.py

@@ -3,6 +3,7 @@ import yaml
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file
+from autogpt.config import Config
 from tests.integration.challenges.utils import run_interaction_loop, run_multiple_times
 from tests.utils import requires_api_key
 
@@ -14,7 +15,7 @@ CYCLE_COUNT = 6
 @requires_api_key("OPENAI_API_KEY")
 @run_multiple_times(3)
 def test_kubernetes_template_challenge_a(
-    kubernetes_agent: Agent, monkeypatch: pytest.MonkeyPatch
+    kubernetes_agent: Agent, monkeypatch: pytest.MonkeyPatch, config: Config
 ) -> None:
     """
     Test the challenge_a function in a given agent by mocking user inputs
@@ -26,7 +27,7 @@ def test_kubernetes_template_challenge_a(
     run_interaction_loop(monkeypatch, kubernetes_agent, CYCLE_COUNT)
 
     file_path = str(kubernetes_agent.workspace.get_path("kube.yaml"))
-    content = read_file(file_path)
+    content = read_file(file_path, config)
 
     for word in ["apiVersion", "kind", "metadata", "spec"]:
         assert word in content, f"Expected the file to contain {word}"

tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml

@@ -2011,7 +2011,7 @@ interactions:
       Vary:
       - Accept-Encoding
       X-Cloud-Trace-Context:
-      - b3143c8eb6fb2bdcf9b7429eff4fa7b4
+      - 0128c66c9918142a24cd829bbc2b234a;o=1
       X-Powered-By:
       - Express
       X-Ratelimit-Limit-Requests:
@@ -2283,7 +2283,7 @@ interactions:
       X-Ratelimit-Remaining-Requests:
       - '3499'
       X-Ratelimit-Remaining-Tokens:
-      - '89467'
+      - '86452'
       X-Ratelimit-Reset-Requests:
       - 17ms
       X-Ratelimit-Reset-Tokens:
@@ -2650,4 +2650,700 @@ interactions:
     status:
       code: 200
       message: OK
+- request:
+    body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You
+      are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file
+      using the read_file method and follow the instructions in the file.\nYour decisions
+      must always be made independently without seeking user assistance. Play to your
+      strengths as an LLM and pursue simple strategies with no legal complications.\nThe
+      OS you are running on is: Ubuntu 22.04.2 LTS\n\nGOALS:\n\n1. Use the command
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+      Write to file, args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n6.
+      delete_agent: Delete GPT Agent, args: \"key\": \"<key>\"\n7. get_hyperlinks:
+      Get hyperlinks, args: \"url\": \"<url>\"\n8. get_text_summary: Get text summary,
+      args: \"url\": \"<url>\", \"question\": \"<question>\"\n9. list_agents: List
+      GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\":
+      \"<key>\", \"message\": \"<message>\"\n11. start_agent: Start GPT Agent, args:
+      \"name\": \"<name>\", \"task\": \"<short_task_desc>\", \"prompt\": \"<prompt>\"\n12.
+      task_complete: Task Complete (Shutdown), args: \"reason\": \"<reason>\"\n\nResources:\n1.
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+      \"read_file\",\n        \"args\": {\n            \"filename\": \"instructions_2.txt\"\n        }\n    }\n}"},
+      {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"},
+      {"role": "user", "content": "Determine which next command to use, and respond
+      using the format specified above:"}, {"role": "assistant", "content": "{\n    \"thoughts\":
+      {\n        \"text\": \"I need to read the instructions_3.txt file using the
+      read_file command.\",\n        \"reasoning\": \"The instructions_3.txt file
+      contains the next set of instructions that I need to follow.\",\n        \"plan\":
+      \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze
+      the instructions and determine the next steps\",\n        \"criticism\": \"I
+      need to ensure that I understand the instructions fully before proceeding.\",\n        \"speak\":
+      \"I will read the instructions_3.txt file now.\"\n    },\n    \"command\": {\n        \"name\":
+      \"read_file\",\n        \"args\": {\n            \"filename\": \"instructions_3.txt\"\n        }\n    }\n}"},
+      {"role": "system", "content": "Command read_file returned: Write the task_id
+      into the file output.txt\nShutdown"}, {"role": "user", "content": "Determine
+      which next command to use, and respond using the format specified above:"},
+      {"role": "assistant", "content": "{\n    \"thoughts\": {\n        \"text\":
+      \"I need to write the task_id into the output.txt file using the write_to_file
+      command.\",\n        \"reasoning\": \"The instructions require me to write the
+      task_id into the output.txt file, so I need to use the write_to_file command
+      to do that.\",\n        \"plan\": \"- Use the write_to_file command to write
+      the task_id into the output.txt file\",\n        \"criticism\": \"I need to
+      ensure that I write the correct task_id into the output.txt file.\",\n        \"speak\":
+      \"I will write the task_id into the output.txt file now.\"\n    },\n    \"command\":
+      {\n        \"name\": \"write_to_file\",\n        \"args\": {\n            \"filename\":
+      \"output.txt\",\n            \"text\": \"2314\"\n        }\n    }\n}"}, {"role":
+      "system", "content": "Command write_to_file returned: File written to successfully."},
+      {"role": "user", "content": "Determine which next command to use, and respond
+      using the format specified above:"}], "temperature": 0, "max_tokens": 0}'
+    headers:
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+    uri: https://api.openai.com/v1/chat/completions
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+      access-control-allow-origin:
+      - '*'
+      alt-svc:
+      - h3=":443"; ma=86400, h3-29=":443"; ma=86400
+      openai-model:
+      - gpt-3.5-turbo-0301
+      openai-organization:
+      - significant-gravitas
+      openai-processing-ms:
+      - '19007'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=15724800; includeSubDomains
+      x-ratelimit-limit-requests:
+      - '3500'
+      x-ratelimit-limit-tokens:
+      - '90000'
+      x-ratelimit-remaining-requests:
+      - '3499'
+      x-ratelimit-remaining-tokens:
+      - '86473'
+      x-ratelimit-reset-requests:
+      - 17ms
+      x-ratelimit-reset-tokens:
+      - 2.35s
+      x-request-id:
+      - d281dd2fbae62c2925a71cdef320242e
+    status:
+      code: 200
+      message: OK
 version: 1

tests/integration/challenges/memory/test_memory_challenge_a.py

@@ -2,6 +2,7 @@ import pytest
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file, write_to_file
+from autogpt.config import Config
 from tests.integration.challenges.utils import get_level_to_run, run_interaction_loop
 from tests.utils import requires_api_key
 
@@ -16,6 +17,7 @@ def test_memory_challenge_a(
     user_selected_level: int,
     patched_api_requestor: None,
     monkeypatch: pytest.MonkeyPatch,
+    config: Config,
 ) -> None:
     """
     The agent reads a file containing a task_id. Then, it reads a series of other files.
@@ -29,12 +31,12 @@ def test_memory_challenge_a(
     num_files = get_level_to_run(user_selected_level, LEVEL_CURRENTLY_BEATEN, MAX_LEVEL)
 
     task_id = "2314"
-    create_instructions_files(memory_management_agent, num_files, task_id)
+    create_instructions_files(memory_management_agent, num_files, task_id, config)
 
     run_interaction_loop(monkeypatch, memory_management_agent, num_files + 2)
 
     file_path = str(memory_management_agent.workspace.get_path("output.txt"))
-    content = read_file(file_path)
+    content = read_file(file_path, config)
     assert task_id in content, f"Expected the file to contain {task_id}"
 
 
@@ -42,6 +44,7 @@ def create_instructions_files(
     memory_management_agent: Agent,
     num_files: int,
     task_id: str,
+    config: Config,
     base_filename: str = "instructions_",
 ) -> None:
     """
@@ -56,7 +59,7 @@ def create_instructions_files(
         content = generate_content(i, task_id, base_filename, num_files)
         file_name = f"{base_filename}{i}.txt"
         file_path = str(memory_management_agent.workspace.get_path(file_name))
-        write_to_file(file_path, content)
+        write_to_file(file_path, content, config)
 
 
 def generate_content(

tests/integration/challenges/memory/test_memory_challenge_b.py

@@ -2,6 +2,7 @@ import pytest
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file, write_to_file
+from autogpt.config import Config
 from tests.integration.challenges.utils import (
     generate_noise,
     get_level_to_run,
@@ -21,6 +22,7 @@ def test_memory_challenge_b(
     user_selected_level: int,
     patched_api_requestor: None,
     monkeypatch: pytest.MonkeyPatch,
+    config: Config,
 ) -> None:
     """
     The agent reads a series of files, each containing a task_id and noise. After reading 'n' files,
@@ -34,12 +36,12 @@ def test_memory_challenge_b(
         user_selected_level, LEVEL_CURRENTLY_BEATEN, MAX_LEVEL
     )
     task_ids = [str(i * 1111) for i in range(1, current_level + 1)]
-    create_instructions_files(memory_management_agent, current_level, task_ids)
+    create_instructions_files(memory_management_agent, current_level, task_ids, config)
 
     run_interaction_loop(monkeypatch, memory_management_agent, current_level + 2)
 
     file_path = str(memory_management_agent.workspace.get_path("output.txt"))
-    content = read_file(file_path)
+    content = read_file(file_path, config)
     for task_id in task_ids:
         assert task_id in content, f"Expected the file to contain {task_id}"
 
@@ -48,6 +50,7 @@ def create_instructions_files(
     memory_management_agent: Agent,
     level: int,
     task_ids: list,
+    config: Config,
     base_filename: str = "instructions_",
 ) -> None:
     """
@@ -63,7 +66,7 @@ def create_instructions_files(
         content = generate_content(i, task_ids, base_filename, level)
         file_name = f"{base_filename}{i}.txt"
         file_path = str(memory_management_agent.workspace.get_path(file_name))
-        write_to_file(file_path, content)
+        write_to_file(file_path, content, config)
 
 
 def generate_content(index: int, task_ids: list, base_filename: str, level: int) -> str:

tests/integration/challenges/memory/test_memory_challenge_c.py

@@ -2,6 +2,7 @@ import pytest
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file, write_to_file
+from autogpt.config import Config
 from tests.integration.challenges.utils import (
     generate_noise,
     get_level_to_run,
@@ -21,6 +22,7 @@ def test_memory_challenge_c(
     user_selected_level: int,
     patched_api_requestor: None,
     monkeypatch: pytest.MonkeyPatch,
+    config: Config,
 ) -> None:
     """
     Instead of reading task Ids from files as with the previous challenges, the agent now must remember
@@ -49,7 +51,7 @@ def test_memory_challenge_c(
 
     level_silly_phrases = silly_phrases[:current_level]
     create_instructions_files(
-        memory_management_agent, current_level, level_silly_phrases
+        memory_management_agent, current_level, level_silly_phrases, config=config
     )
 
     run_interaction_loop(monkeypatch, memory_management_agent, current_level + 2)
@@ -64,6 +66,7 @@ def create_instructions_files(
     memory_management_agent: Agent,
     level: int,
     task_ids: list,
+    config: Config,
     base_filename: str = "instructions_",
 ) -> None:
     """
@@ -79,7 +82,7 @@ def create_instructions_files(
         content = generate_content(i, task_ids, base_filename, level)
         file_name = f"{base_filename}{i}.txt"
         file_path = str(memory_management_agent.workspace.get_path(file_name))
-        write_to_file(file_path, content)
+        write_to_file(file_path, content, config)
 
 
 def generate_content(

tests/integration/test_commands.py

@@ -10,7 +10,7 @@ from tests.utils import requires_api_key
 @pytest.mark.vcr
 @pytest.mark.integration_test
 @requires_api_key("OPENAI_API_KEY")
-def test_make_agent(patched_api_requestor) -> None:
+def test_make_agent(patched_api_requestor, config) -> None:
     """Test that an agent can be created"""
     # Use the mock agent manager to avoid creating a real agent
     with patch("openai.ChatCompletion.create") as mock:
@@ -20,9 +20,13 @@ def test_make_agent(patched_api_requestor) -> None:
         response.usage.prompt_tokens = 1
         response.usage.completion_tokens = 1
         mock.return_value = response
-        start_agent("Test Agent", "chat", "Hello, how are you?", "gpt-3.5-turbo")
+        start_agent(
-        agents = list_agents()
+            "Test Agent", "chat", "Hello, how are you?", config, "gpt-3.5-turbo"
+        )
+        agents = list_agents(config)
         assert "List of agents:\n0: chat" == agents
-        start_agent("Test Agent 2", "write", "Hello, how are you?", "gpt-3.5-turbo")
+        start_agent(
-        agents = list_agents()
+            "Test Agent 2", "write", "Hello, how are you?", config, "gpt-3.5-turbo"
+        )
+        agents = list_agents(config)
         assert "List of agents:\n0: chat\n1: write" == agents

tests/integration/test_execute_code.py

@@ -29,22 +29,22 @@ def random_string():
     return "".join(random.choice(string.ascii_lowercase) for _ in range(10))
 
 
-def test_execute_python_file(python_test_file: str, random_string: str):
+def test_execute_python_file(python_test_file: str, random_string: str, config):
-    result = sut.execute_python_file(python_test_file)
+    result: str = sut.execute_python_file(python_test_file, config)
-    assert result == f"Hello {random_string}!\n"
+    assert result.replace("\r", "") == f"Hello {random_string}!\n"
 
 
-def test_execute_python_file_invalid():
+def test_execute_python_file_invalid(config):
     assert all(
-        s in sut.execute_python_file("not_python").lower()
+        s in sut.execute_python_file("not_python", config).lower()
         for s in ["error:", "invalid", ".py"]
     )
     assert all(
-        s in sut.execute_python_file("notexist.py").lower()
+        s in sut.execute_python_file("notexist.py", config).lower()
         for s in ["error:", "does not exist"]
     )
 
 
-def test_execute_shell(config_allow_execute, random_string):
+def test_execute_shell(config_allow_execute, random_string, config):
-    result = sut.execute_shell(f"echo 'Hello {random_string}!'")
+    result = sut.execute_shell(f"echo 'Hello {random_string}!'", config)
     assert f"Hello {random_string}!" in result

tests/integration/test_git_commands.py

@@ -20,7 +20,7 @@ def test_clone_auto_gpt_repository(workspace, mock_clone_from, config):
 
     expected_output = f"Cloned {url} to {clone_path}"
 
-    clone_result = clone_repository(url=url, clone_path=clone_path)
+    clone_result = clone_repository(url=url, clone_path=clone_path, config=config)
 
     assert clone_result == expected_output
     mock_clone_from.assert_called_once_with(
@@ -29,7 +29,7 @@ def test_clone_auto_gpt_repository(workspace, mock_clone_from, config):
     )
 
 
-def test_clone_repository_error(workspace, mock_clone_from):
+def test_clone_repository_error(workspace, mock_clone_from, config):
     url = "https://github.com/this-repository/does-not-exist.git"
     clone_path = str(workspace.get_path("does-not-exist"))
 
@@ -37,6 +37,6 @@ def test_clone_repository_error(workspace, mock_clone_from):
         "clone", "fatal: repository not found", ""
     )
 
-    result = clone_repository(url=url, clone_path=clone_path)
+    result = clone_repository(url=url, clone_path=clone_path, config=config)
 
     assert "Error: " in result

tests/integration/test_google_search.py

@@ -38,12 +38,14 @@ def test_safe_google_results_invalid_input():
         ("no results", 1, "[]", []),
     ],
 )
-def test_google_search(query, num_results, expected_output, return_value, mocker):
+def test_google_search(
+    query, num_results, expected_output, return_value, mocker, config
+):
     mock_ddg = mocker.Mock()
     mock_ddg.return_value = return_value
 
     mocker.patch("autogpt.commands.google_search.DDGS.text", mock_ddg)
-    actual_output = google_search(query, num_results=num_results)
+    actual_output = google_search(query, config, num_results=num_results)
     expected_output = safe_google_results(expected_output)
     assert actual_output == expected_output
 
@@ -77,10 +79,10 @@ def mock_googleapiclient(mocker):
     ],
 )
 def test_google_official_search(
-    query, num_results, expected_output, search_results, mock_googleapiclient
+    query, num_results, expected_output, search_results, mock_googleapiclient, config
 ):
     mock_googleapiclient.return_value = search_results
-    actual_output = google_official_search(query, num_results=num_results)
+    actual_output = google_official_search(query, config, num_results=num_results)
     assert actual_output == safe_google_results(expected_output)
 
 
@@ -111,6 +113,7 @@ def test_google_official_search_errors(
     mock_googleapiclient,
     http_code,
     error_msg,
+    config,
 ):
     class resp:
         def __init__(self, _status, _reason):
@@ -127,5 +130,5 @@ def test_google_official_search_errors(
     )
 
     mock_googleapiclient.side_effect = error
-    actual_output = google_official_search(query, num_results=num_results)
+    actual_output = google_official_search(query, config, num_results=num_results)
     assert actual_output == safe_google_results(expected_output)

tests/mocks/mock_commands.py

@@ -1,7 +1,9 @@
 from autogpt.commands.command import command
 
 
-@command("function_based", "Function-based test command")
+@command(
+    "function_based", "Function-based test command", "(arg1: int, arg2: str) -> str"
+)
 def function_based(arg1: int, arg2: str) -> str:
     """A function-based test command that returns a string with the two arguments separated by a dash."""
     return f"{arg1} - {arg2}"

tests/test_analyze_code.py

@@ -3,6 +3,7 @@
 import pytest
 
 from autogpt.commands.analyze_code import analyze_code
+from autogpt.config import Config
 
 
 @pytest.fixture
@@ -15,46 +16,59 @@ class TestAnalyzeCode:
         # Positive Test
         mock_call_ai_function.return_value = ["Suggestion 1", "Suggestion 2"]
         code = "def example_function():\n    pass"
-        result = analyze_code(code)
+        config = Config()
+        result = analyze_code(code, config)
         assert result == ["Suggestion 1", "Suggestion 2"]
         mock_call_ai_function.assert_called_once_with(
             "def analyze_code(code: str) -> list[str]:",
             [code],
             "Analyzes the given code and returns a list of suggestions for improvements.",
+            config=config,
         )
 
-    def test_negative_analyze_code(self, mock_call_ai_function):
+    def test_negative_analyze_code(
+        self,
+        mock_call_ai_function,
+        config: Config,
+    ):
         # Negative Test
         mock_call_ai_function.return_value = []
         code = "def example_function():\n    pass"
-        result = analyze_code(code)
+        result = analyze_code(code, config)
         assert result == []
         mock_call_ai_function.assert_called_once_with(
             "def analyze_code(code: str) -> list[str]:",
             [code],
             "Analyzes the given code and returns a list of suggestions for improvements.",
+            config=config,
         )
 
-    def test_error_analyze_code(self, mock_call_ai_function):
+    def test_error_analyze_code(self, mock_call_ai_function, config: Config):
         # Error Test
         mock_call_ai_function.side_effect = Exception("Error occurred")
         code = "def example_function():\n    pass"
         with pytest.raises(Exception):
-            analyze_code(code)
+            result = analyze_code(code, config)
         mock_call_ai_function.assert_called_once_with(
             "def analyze_code(code: str) -> list[str]:",
             [code],
             "Analyzes the given code and returns a list of suggestions for improvements.",
+            config=config,
         )
 
-    def test_edge_analyze_code_empty_code(self, mock_call_ai_function):
+    def test_edge_analyze_code_empty_code(
+        self,
+        mock_call_ai_function,
+        config: Config,
+    ):
         # Edge Test
         mock_call_ai_function.return_value = ["Suggestion 1", "Suggestion 2"]
         code = ""
-        result = analyze_code(code)
+        result = analyze_code(code, config)
         assert result == ["Suggestion 1", "Suggestion 2"]
         mock_call_ai_function.assert_called_once_with(
             "def analyze_code(code: str) -> list[str]:",
             [code],
             "Analyzes the given code and returns a list of suggestions for improvements.",
+            config=config,
         )

tests/test_audio_text_read_audio.py

@@ -8,12 +8,10 @@ import pytest
 
 from autogpt.commands.audio_text import read_audio
 
-patch_func1 = "autogpt.commands.audio_text.CFG"
-
 
 class TestReadAudio:
     @patch("requests.post")
-    def test_positive_read_audio(self, mock_post):
+    def test_positive_read_audio(self, mock_post, config):
         # Positive Test
         audio_data = b"test_audio_data"
         mock_response = MagicMock()
@@ -21,41 +19,39 @@ class TestReadAudio:
             {"text": "Hello, world!"}
         )
         mock_post.return_value = mock_response
-        with patch(patch_func1) as mock_cfg:
+
-            mock_cfg.huggingface_api_token = "testing-token"
+        config.huggingface_api_token = "testing-token"
-            result = read_audio(audio_data)
+        result = read_audio(audio_data, config)
-            assert result == "The audio says: Hello, world!"
+        assert result == "The audio says: Hello, world!"
-            mock_post.assert_called_once_with(
+        mock_post.assert_called_once_with(
-                f"https://api-inference.huggingface.co/models/{mock_cfg.huggingface_audio_to_text_model}",
+            f"https://api-inference.huggingface.co/models/{config.huggingface_audio_to_text_model}",
-                headers={"Authorization": f"Bearer {mock_cfg.huggingface_api_token}"},
+            headers={"Authorization": f"Bearer {config.huggingface_api_token}"},
-                data=audio_data,
+            data=audio_data,
-            )
+        )
 
     @patch("requests.post")
-    def test_negative_read_audio(self, mock_post):
+    def test_negative_read_audio(self, mock_post, config):
         # Negative Test
         audio_data = b"test_audio_data"
         mock_response = MagicMock()
         mock_response.content.decode.return_value = json.dumps({"text": ""})
         mock_post.return_value = mock_response
-        with patch(patch_func1) as mock_cfg:
+        config.huggingface_api_token = "testing-token"
-            mock_cfg.huggingface_api_token = "testing-token"
+        result = read_audio(audio_data, config)
-            result = read_audio(audio_data)
+        assert result == "The audio says: "
-            assert result == "The audio says: "
+        mock_post.assert_called_once_with(
-            mock_post.assert_called_once_with(
+            f"https://api-inference.huggingface.co/models/{config.huggingface_audio_to_text_model}",
-                f"https://api-inference.huggingface.co/models/{mock_cfg.huggingface_audio_to_text_model}",
+            headers={"Authorization": f"Bearer {config.huggingface_api_token}"},
-                headers={"Authorization": f"Bearer {mock_cfg.huggingface_api_token}"},
+            data=audio_data,
-                data=audio_data,
+        )
-            )
 
-    def test_error_read_audio(self):
+    def test_error_read_audio(self, config):
         # Error Test
-        with patch(patch_func1) as mock_cfg:
+        config.huggingface_api_token = None
-            mock_cfg.huggingface_api_token = None
+        with pytest.raises(ValueError):
-            with pytest.raises(ValueError):
+            read_audio(b"test_audio_data", config)
-                read_audio(b"test_audio_data")
 
-    def test_edge_read_audio_empty_audio(self):
+    def test_edge_read_audio_empty_audio(self, config):
         # Edge Test
         with pytest.raises(ValueError):
-            read_audio(b"")
+            read_audio(b"", config)

tests/test_audio_text_read_audio_from_file.py

@@ -7,6 +7,7 @@ from unittest.mock import mock_open, patch
 import pytest
 
 from autogpt.commands.audio_text import read_audio_from_file
+from autogpt.config import Config
 
 
 @pytest.fixture
@@ -22,7 +23,7 @@ class TestReadAudioFromFile:
         m = mock_open(read_data=mock_file_data)
 
         with patch("builtins.open", m):
-            result = read_audio_from_file("test_audio.wav")
+            result = read_audio_from_file("test_audio.wav", Config())
             assert result == "This is a sample text."
             m.assert_called_once_with("test_audio.wav", "rb")
 
@@ -33,14 +34,14 @@ class TestReadAudioFromFile:
         m = mock_open(read_data=mock_file_data)
 
         with patch("builtins.open", m):
-            result = read_audio_from_file("test_audio.wav")
+            result = read_audio_from_file("test_audio.wav", Config())
             assert result != "Incorrect text."
             m.assert_called_once_with("test_audio.wav", "rb")
 
     def test_error_read_audio_from_file(self):
         # Error test
         with pytest.raises(FileNotFoundError):
-            read_audio_from_file("non_existent_file.wav")
+            read_audio_from_file("non_existent_file.wav", Config())
 
     def test_edge_empty_audio_file(self, mock_read_audio):
         # Edge test
@@ -49,6 +50,6 @@ class TestReadAudioFromFile:
         m = mock_open(read_data=mock_file_data)
 
         with patch("builtins.open", m):
-            result = read_audio_from_file("empty_audio.wav")
+            result = read_audio_from_file("empty_audio.wav", Config())
             assert result == ""
             m.assert_called_once_with("empty_audio.wav", "rb")

tests/test_commands.py

@@ -7,6 +7,8 @@ import pytest
 
 from autogpt.commands.command import Command, CommandRegistry
 
+SIGNATURE = "(arg1: int, arg2: str) -> str"
+
 
 class TestCommand:
     """Test cases for the Command class."""
@@ -23,6 +25,7 @@ class TestCommand:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
 
         assert cmd.name == "example"
@@ -47,19 +50,11 @@ class TestCommand:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
         with pytest.raises(TypeError):
             cmd(arg1="invalid", does_not_exist="test")
 
-    def test_command_default_signature(self):
-        """Test that the default signature is generated correctly."""
-        cmd = Command(
-            name="example",
-            description="Example command",
-            method=self.example_command_method,
-        )
-        assert cmd.signature == "(arg1: int, arg2: str) -> str"
-
     def test_command_custom_signature(self):
         custom_signature = "custom_arg1: int, custom_arg2: str"
         cmd = Command(
@@ -84,6 +79,7 @@ class TestCommandRegistry:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
 
         registry.register(cmd)
@@ -98,6 +94,7 @@ class TestCommandRegistry:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
 
         registry.register(cmd)
@@ -112,6 +109,7 @@ class TestCommandRegistry:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
 
         registry.register(cmd)
@@ -133,6 +131,7 @@ class TestCommandRegistry:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
 
         registry.register(cmd)
@@ -154,6 +153,7 @@ class TestCommandRegistry:
             name="example",
             description="Example command",
             method=self.example_command_method,
+            signature=SIGNATURE,
         )
 
         registry.register(cmd)

tests/test_config.py

@@ -135,6 +135,7 @@ def test_smart_and_fast_llm_models_set_to_gpt4(mock_list_models, config):
     mock_list_models.return_value = {"data": [{"id": "gpt-3.5-turbo"}]}
 
     create_config(
+        config=config,
         continuous=False,
         continuous_limit=False,
         ai_settings_file="",

tests/test_image_gen.py

@@ -66,6 +66,7 @@ def test_sd_webui_negative_prompt(config, workspace, image_size):
     gen_image = functools.partial(
         generate_image_with_sd_webui,
         prompt="astronaut riding a horse",
+        config=config,
         size=image_size,
         extra={"seed": 123},
     )
@@ -101,7 +102,7 @@ def generate_and_validate(
     config.huggingface_image_model = hugging_face_image_model
     prompt = "astronaut riding a horse"
 
-    image_path = lst(generate_image(prompt, image_size, **kwargs))
+    image_path = lst(generate_image(prompt, config, image_size, **kwargs))
     assert image_path.exists()
     with Image.open(image_path) as img:
         assert img.size == (image_size, image_size)
@@ -146,7 +147,7 @@ def test_huggingface_fail_request_with_delay(
 
         with patch("time.sleep") as mock_sleep:
             # Verify request fails.
-            result = generate_image(prompt, image_size)
+            result = generate_image(prompt, config, image_size)
             assert result == "Error creating image."
 
             # Verify retry was called with delay if delay is in return_text
@@ -156,8 +157,7 @@ def test_huggingface_fail_request_with_delay(
                 mock_sleep.assert_not_called()
 
 
-def test_huggingface_fail_request_with_delay(mocker):
+def test_huggingface_fail_request_with_delay(mocker, config):
-    config = Config()
     config.huggingface_api_token = "1"
 
     # Mock requests.post
@@ -172,7 +172,7 @@ def test_huggingface_fail_request_with_delay(mocker):
     config.image_provider = "huggingface"
     config.huggingface_image_model = "CompVis/stable-diffusion-v1-4"
 
-    result = generate_image("astronaut riding a horse", 512)
+    result = generate_image("astronaut riding a horse", config, 512)
 
     assert result == "Error creating image."
 
@@ -180,8 +180,7 @@ def test_huggingface_fail_request_with_delay(mocker):
     mock_sleep.assert_called_with(0)
 
 
-def test_huggingface_fail_request_no_delay(mocker):
+def test_huggingface_fail_request_no_delay(mocker, config):
-    config = Config()
     config.huggingface_api_token = "1"
 
     # Mock requests.post
@@ -198,7 +197,7 @@ def test_huggingface_fail_request_no_delay(mocker):
     config.image_provider = "huggingface"
     config.huggingface_image_model = "CompVis/stable-diffusion-v1-4"
 
-    result = generate_image("astronaut riding a horse", 512)
+    result = generate_image("astronaut riding a horse", config, 512)
 
     assert result == "Error creating image."
 
@@ -206,8 +205,7 @@ def test_huggingface_fail_request_no_delay(mocker):
     mock_sleep.assert_not_called()
 
 
-def test_huggingface_fail_request_bad_json(mocker):
+def test_huggingface_fail_request_bad_json(mocker, config):
-    config = Config()
     config.huggingface_api_token = "1"
 
     # Mock requests.post
@@ -222,7 +220,7 @@ def test_huggingface_fail_request_bad_json(mocker):
     config.image_provider = "huggingface"
     config.huggingface_image_model = "CompVis/stable-diffusion-v1-4"
 
-    result = generate_image("astronaut riding a horse", 512)
+    result = generate_image("astronaut riding a horse", config, 512)
 
     assert result == "Error creating image."
 
@@ -230,8 +228,7 @@ def test_huggingface_fail_request_bad_json(mocker):
     mock_sleep.assert_not_called()
 
 
-def test_huggingface_fail_request_bad_image(mocker):
+def test_huggingface_fail_request_bad_image(mocker, config):
-    config = Config()
     config.huggingface_api_token = "1"
 
     # Mock requests.post
@@ -241,13 +238,12 @@ def test_huggingface_fail_request_bad_image(mocker):
     config.image_provider = "huggingface"
     config.huggingface_image_model = "CompVis/stable-diffusion-v1-4"
 
-    result = generate_image("astronaut riding a horse", 512)
+    result = generate_image("astronaut riding a horse", config, 512)
 
     assert result == "Error creating image."
 
 
-def test_huggingface_fail_missing_api_token(mocker):
+def test_huggingface_fail_missing_api_token(mocker, config):
-    config = Config()
     config.image_provider = "huggingface"
     config.huggingface_image_model = "CompVis/stable-diffusion-v1-4"
 
@@ -256,4 +252,4 @@ def test_huggingface_fail_missing_api_token(mocker):
 
     # Verify request raises an error.
     with pytest.raises(ValueError):
-        generate_image("astronaut riding a horse", 512)
+        generate_image("astronaut riding a horse", config, 512)

tests/unit/test_browse_scrape_links.py

@@ -43,14 +43,14 @@ class TestScrapeLinks:
     provided with a valid url that returns a webpage with hyperlinks.
     """
 
-    def test_valid_url_with_hyperlinks(self):
+    def test_valid_url_with_hyperlinks(self, config):
         url = "https://www.google.com"
-        result = scrape_links(url)
+        result = scrape_links(url, config=config)
         assert len(result) > 0
         assert isinstance(result, list)
         assert isinstance(result[0], str)
 
-    def test_valid_url(self, mocker):
+    def test_valid_url(self, mocker, config):
         """Test that the function returns correctly formatted hyperlinks when given a valid url."""
         # Mock the requests.get() function to return a response with sample HTML containing hyperlinks
         mock_response = mocker.Mock()
@@ -61,12 +61,12 @@ class TestScrapeLinks:
         mocker.patch("requests.Session.get", return_value=mock_response)
 
         # Call the function with a valid URL
-        result = scrape_links("https://www.example.com")
+        result = scrape_links("https://www.example.com", config)
 
         # Assert that the function returns correctly formatted hyperlinks
         assert result == ["Google (https://www.google.com)"]
 
-    def test_invalid_url(self, mocker):
+    def test_invalid_url(self, mocker, config):
         """Test that the function returns "error" when given an invalid url."""
         # Mock the requests.get() function to return an HTTP error response
         mock_response = mocker.Mock()
@@ -74,12 +74,12 @@ class TestScrapeLinks:
         mocker.patch("requests.Session.get", return_value=mock_response)
 
         # Call the function with an invalid URL
-        result = scrape_links("https://www.invalidurl.com")
+        result = scrape_links("https://www.invalidurl.com", config)
 
         # Assert that the function returns "error"
         assert "Error:" in result
 
-    def test_no_hyperlinks(self, mocker):
+    def test_no_hyperlinks(self, mocker, config):
         """Test that the function returns an empty list when the html contains no hyperlinks."""
         # Mock the requests.get() function to return a response with sample HTML containing no hyperlinks
         mock_response = mocker.Mock()
@@ -88,12 +88,12 @@ class TestScrapeLinks:
         mocker.patch("requests.Session.get", return_value=mock_response)
 
         # Call the function with a URL containing no hyperlinks
-        result = scrape_links("https://www.example.com")
+        result = scrape_links("https://www.example.com", config)
 
         # Assert that the function returns an empty list
         assert result == []
 
-    def test_scrape_links_with_few_hyperlinks(self, mocker):
+    def test_scrape_links_with_few_hyperlinks(self, mocker, config):
         """Test that scrape_links() correctly extracts and formats hyperlinks from a sample HTML containing a few hyperlinks."""
         mock_response = mocker.Mock()
         mock_response.status_code = 200
@@ -109,7 +109,7 @@ class TestScrapeLinks:
         mocker.patch("requests.Session.get", return_value=mock_response)
 
         # Call the function being tested
-        result = scrape_links("https://www.example.com")
+        result = scrape_links("https://www.example.com", config)
 
         # Assert that the function returns a list of formatted hyperlinks
         assert isinstance(result, list)

tests/unit/test_browse_scrape_text.py

@@ -42,7 +42,7 @@ Additional aspects:
 
 
 class TestScrapeText:
-    def test_scrape_text_with_valid_url(self, mocker):
+    def test_scrape_text_with_valid_url(self, mocker, config):
         """Tests that scrape_text() returns the expected text when given a valid URL."""
         # Mock the requests.get() method to return a response with expected text
         expected_text = "This is some sample text"
@@ -57,14 +57,14 @@ class TestScrapeText:
         # Call the function with a valid URL and assert that it returns the
         #  expected text
         url = "http://www.example.com"
-        assert scrape_text(url) == expected_text
+        assert scrape_text(url, config) == expected_text
 
-    def test_invalid_url(self):
+    def test_invalid_url(self, config):
         """Tests that an error is raised when an invalid url is provided."""
         url = "invalidurl.com"
-        pytest.raises(ValueError, scrape_text, url)
+        pytest.raises(ValueError, scrape_text, url, config)
 
-    def test_unreachable_url(self, mocker):
+    def test_unreachable_url(self, mocker, config):
         """Test that scrape_text returns an error message when an invalid or unreachable url is provided."""
         # Mock the requests.get() method to raise an exception
         mocker.patch(
@@ -74,10 +74,10 @@ class TestScrapeText:
         # Call the function with an invalid URL and assert that it returns an error
         #  message
         url = "http://thiswebsitedoesnotexist.net/"
-        error_message = scrape_text(url)
+        error_message = scrape_text(url, config)
         assert "Error:" in error_message
 
-    def test_no_text(self, mocker):
+    def test_no_text(self, mocker, config):
         """Test that scrape_text returns an empty string when the html page contains no text to be scraped."""
         # Mock the requests.get() method to return a response with no text
         mock_response = mocker.Mock()
@@ -87,20 +87,20 @@ class TestScrapeText:
 
         # Call the function with a valid URL and assert that it returns an empty string
         url = "http://www.example.com"
-        assert scrape_text(url) == ""
+        assert scrape_text(url, config) == ""
 
-    def test_http_error(self, mocker):
+    def test_http_error(self, mocker, config):
         """Test that scrape_text returns an error message when the response status code is an http error (>=400)."""
         # Mock the requests.get() method to return a response with a 404 status code
         mocker.patch("requests.Session.get", return_value=mocker.Mock(status_code=404))
 
         # Call the function with a URL
-        result = scrape_text("https://www.example.com")
+        result = scrape_text("https://www.example.com", config)
 
         # Check that the function returns an error message
         assert result == "Error: HTTP 404 error"
 
-    def test_scrape_text_with_html_tags(self, mocker):
+    def test_scrape_text_with_html_tags(self, mocker, config):
         """Test that scrape_text() properly handles HTML tags."""
         # Create a mock response object with HTML containing tags
         html = "<html><body><p>This is <b>bold</b> text.</p></body></html>"
@@ -110,7 +110,7 @@ class TestScrapeText:
         mocker.patch("requests.Session.get", return_value=mock_response)
 
         # Call the function with a URL
-        result = scrape_text("https://www.example.com")
+        result = scrape_text("https://www.example.com", config)
 
         # Check that the function properly handles HTML tags
         assert result == "This is bold text."

tests/unit/test_file_operations.py

@@ -55,11 +55,11 @@ def test_file(test_file_path: Path):
 
 
 @pytest.fixture()
-def test_file_with_content_path(test_file: TextIOWrapper, file_content):
+def test_file_with_content_path(test_file: TextIOWrapper, file_content, config):
     test_file.write(file_content)
     test_file.close()
     file_ops.log_operation(
-        "write", test_file.name, file_ops.text_checksum(file_content)
+        "write", test_file.name, config, file_ops.text_checksum(file_content)
     )
     return Path(test_file.name)
 
@@ -117,7 +117,7 @@ def test_file_operations_state(test_file: TextIOWrapper):
     assert file_ops.file_operations_state(test_file.name) == expected_state
 
 
-def test_is_duplicate_operation(config, mocker: MockerFixture):
+def test_is_duplicate_operation(config: Config, mocker: MockerFixture):
     # Prepare a fake state dictionary for the function to use
     state = {
         "path/to/file1.txt": "checksum1",
@@ -127,30 +127,42 @@ def test_is_duplicate_operation(config, mocker: MockerFixture):
 
     # Test cases with write operations
     assert (
-        file_ops.is_duplicate_operation("write", "path/to/file1.txt", "checksum1")
+        file_ops.is_duplicate_operation(
+            "write", "path/to/file1.txt", config, "checksum1"
+        )
         is True
     )
     assert (
-        file_ops.is_duplicate_operation("write", "path/to/file1.txt", "checksum2")
+        file_ops.is_duplicate_operation(
+            "write", "path/to/file1.txt", config, "checksum2"
+        )
         is False
     )
     assert (
-        file_ops.is_duplicate_operation("write", "path/to/file3.txt", "checksum3")
+        file_ops.is_duplicate_operation(
+            "write", "path/to/file3.txt", config, "checksum3"
+        )
         is False
     )
     # Test cases with append operations
     assert (
-        file_ops.is_duplicate_operation("append", "path/to/file1.txt", "checksum1")
+        file_ops.is_duplicate_operation(
+            "append", "path/to/file1.txt", config, "checksum1"
+        )
         is False
     )
     # Test cases with delete operations
-    assert file_ops.is_duplicate_operation("delete", "path/to/file1.txt") is False
+    assert (
-    assert file_ops.is_duplicate_operation("delete", "path/to/file3.txt") is True
+        file_ops.is_duplicate_operation("delete", "path/to/file1.txt", config) is False
+    )
+    assert (
+        file_ops.is_duplicate_operation("delete", "path/to/file3.txt", config) is True
+    )
 
 
 # Test logging a file operation
 def test_log_operation(config: Config):
-    file_ops.log_operation("log_test", "path/to/test")
+    file_ops.log_operation("log_test", "path/to/test", config)
     with open(config.file_logger_path, "r", encoding="utf-8") as f:
         content = f.read()
     assert f"log_test: path/to/test\n" in content
@@ -164,7 +176,7 @@ def test_text_checksum(file_content: str):
 
 
 def test_log_operation_with_checksum(config: Config):
-    file_ops.log_operation("log_test", "path/to/test", checksum="ABCDEF")
+    file_ops.log_operation("log_test", "path/to/test", config, checksum="ABCDEF")
     with open(config.file_logger_path, "r", encoding="utf-8") as f:
         content = f.read()
     assert f"log_test: path/to/test #ABCDEF\n" in content
@@ -211,50 +223,56 @@ def test_read_file(
     mock_MemoryItem_from_text,
     test_file_with_content_path: Path,
     file_content,
+    config: Config,
 ):
-    content = file_ops.read_file(test_file_with_content_path)
+    content = file_ops.read_file(test_file_with_content_path, config)
-    assert content == file_content
+    assert content.replace("\r", "") == file_content
 
 
-def test_write_to_file(test_file_path: Path):
+def test_write_to_file(test_file_path: Path, config):
     new_content = "This is new content.\n"
-    file_ops.write_to_file(str(test_file_path), new_content)
+    file_ops.write_to_file(str(test_file_path), new_content, config)
     with open(test_file_path, "r", encoding="utf-8") as f:
         content = f.read()
     assert content == new_content
 
 
-def test_write_file_logs_checksum(config: Config, test_file_path: Path):
+def test_write_file_logs_checksum(test_file_path: Path, config):
     new_content = "This is new content.\n"
     new_checksum = file_ops.text_checksum(new_content)
-    file_ops.write_to_file(str(test_file_path), new_content)
+    file_ops.write_to_file(str(test_file_path), new_content, config)
     with open(config.file_logger_path, "r", encoding="utf-8") as f:
         log_entry = f.read()
     assert log_entry == f"write: {test_file_path} #{new_checksum}\n"
 
 
-def test_write_file_fails_if_content_exists(test_file_path: Path):
+def test_write_file_fails_if_content_exists(test_file_path: Path, config):
     new_content = "This is new content.\n"
     file_ops.log_operation(
         "write",
         str(test_file_path),
+        config,
         checksum=file_ops.text_checksum(new_content),
     )
-    result = file_ops.write_to_file(str(test_file_path), new_content)
+    result = file_ops.write_to_file(str(test_file_path), new_content, config)
     assert result == "Error: File has already been updated."
 
 
-def test_write_file_succeeds_if_content_different(test_file_with_content_path: Path):
+def test_write_file_succeeds_if_content_different(
+    test_file_with_content_path: Path, config
+):
     new_content = "This is different content.\n"
-    result = file_ops.write_to_file(str(test_file_with_content_path), new_content)
+    result = file_ops.write_to_file(
+        str(test_file_with_content_path), new_content, config
+    )
     assert result == "File written to successfully."
 
 
-def test_append_to_file(test_nested_file: Path):
+def test_append_to_file(test_nested_file: Path, config):
     append_text = "This is appended text.\n"
-    file_ops.write_to_file(test_nested_file, append_text)
+    file_ops.write_to_file(test_nested_file, append_text, config)
 
-    file_ops.append_to_file(test_nested_file, append_text)
+    file_ops.append_to_file(test_nested_file, append_text, config)
 
     with open(test_nested_file, "r") as f:
         content_after = f.read()
@@ -262,12 +280,10 @@ def test_append_to_file(test_nested_file: Path):
     assert content_after == append_text + append_text
 
 
-def test_append_to_file_uses_checksum_from_appended_file(
+def test_append_to_file_uses_checksum_from_appended_file(test_file_path: Path, config):
-    config: Config, test_file_path: Path
-):
     append_text = "This is appended text.\n"
-    file_ops.append_to_file(test_file_path, append_text)
+    file_ops.append_to_file(test_file_path, append_text, config)
-    file_ops.append_to_file(test_file_path, append_text)
+    file_ops.append_to_file(test_file_path, append_text, config)
     with open(config.file_logger_path, "r", encoding="utf-8") as f:
         log_contents = f.read()
 
@@ -282,8 +298,8 @@ def test_append_to_file_uses_checksum_from_appended_file(
     )
 
 
-def test_delete_file(test_file_with_content_path: Path):
+def test_delete_file(test_file_with_content_path: Path, config):
-    result = file_ops.delete_file(str(test_file_with_content_path))
+    result = file_ops.delete_file(str(test_file_with_content_path), config)
     assert result == "File deleted successfully."
     assert os.path.exists(test_file_with_content_path) is False
 
@@ -291,16 +307,16 @@ def test_delete_file(test_file_with_content_path: Path):
 def test_delete_missing_file(config):
     filename = "path/to/file/which/does/not/exist"
     # confuse the log
-    file_ops.log_operation("write", filename, checksum="fake")
+    file_ops.log_operation("write", filename, config, checksum="fake")
     try:
         os.remove(filename)
     except FileNotFoundError as err:
-        assert str(err) in file_ops.delete_file(filename)
+        assert str(err) in file_ops.delete_file(filename, config)
         return
     assert False, f"Failed to test delete_file; {filename} not expected to exist"
 
 
-def test_list_files(workspace: Workspace, test_directory: Path):
+def test_list_files(workspace: Workspace, test_directory: Path, config):
     # Case 1: Create files A and B, search for A, and ensure we don't return A and B
     file_a = workspace.get_path("file_a.txt")
     file_b = workspace.get_path("file_b.txt")
@@ -318,7 +334,7 @@ def test_list_files(workspace: Workspace, test_directory: Path):
     with open(os.path.join(test_directory, file_a.name), "w") as f:
         f.write("This is file A in the subdirectory.")
 
-    files = file_ops.list_files(str(workspace.root))
+    files = file_ops.list_files(str(workspace.root), config)
     assert file_a.name in files
     assert file_b.name in files
     assert os.path.join(Path(test_directory).name, file_a.name) in files
@@ -331,17 +347,17 @@ def test_list_files(workspace: Workspace, test_directory: Path):
 
     # Case 2: Search for a file that does not exist and make sure we don't throw
     non_existent_file = "non_existent_file.txt"
-    files = file_ops.list_files("")
+    files = file_ops.list_files("", config)
     assert non_existent_file not in files
 
 
-def test_download_file(config, workspace: Workspace):
+def test_download_file(workspace: Workspace, config):
     url = "https://github.com/Significant-Gravitas/Auto-GPT/archive/refs/tags/v0.2.2.tar.gz"
     local_name = workspace.get_path("auto-gpt.tar.gz")
     size = 365023
     readable_size = readable_file_size(size)
     assert (
-        file_ops.download_file(url, local_name)
+        file_ops.download_file(url, local_name, config)
         == f'Successfully downloaded and locally stored file: "{local_name}"! (Size: {readable_size})'
     )
     assert os.path.isfile(local_name) is True
@@ -349,10 +365,10 @@ def test_download_file(config, workspace: Workspace):
 
     url = "https://github.com/Significant-Gravitas/Auto-GPT/archive/refs/tags/v0.0.0.tar.gz"
     assert "Got an HTTP Error whilst trying to download file" in file_ops.download_file(
-        url, local_name
+        url, local_name, config
     )
 
     url = "https://thiswebsiteiswrong.hmm/v0.0.0.tar.gz"
     assert "Failed to establish a new connection:" in file_ops.download_file(
-        url, local_name
+        url, local_name, config
     )

tests/unit/test_web_selenium.py

@@ -1,11 +1,11 @@
 from autogpt.commands.web_selenium import browse_website
 
 
-def test_browse_website():
+def test_browse_website(config):
     url = "https://barrel-roll.com"
     question = "How to execute a barrel roll"
 
-    response = browse_website(url, question)
+    response = browse_website(url, question, config)
     assert "Error" in response
     # Sanity check that the response is not too long
     assert len(response) < 200