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Diffstat (limited to 'tests/unit/data/test_plugins/auto_gpt_guanaco/__init__.py')
| -rw-r--r-- | tests/unit/data/test_plugins/auto_gpt_guanaco/__init__.py | 274 |
1 files changed, 0 insertions, 274 deletions
diff --git a/tests/unit/data/test_plugins/auto_gpt_guanaco/__init__.py b/tests/unit/data/test_plugins/auto_gpt_guanaco/__init__.py deleted file mode 100644 index f915553cc..000000000 --- a/tests/unit/data/test_plugins/auto_gpt_guanaco/__init__.py +++ /dev/null @@ -1,274 +0,0 @@ -"""This is the Test plugin for Auto-GPT.""" -from typing import Any, Dict, List, Optional, Tuple, TypeVar - -from auto_gpt_plugin_template import AutoGPTPluginTemplate - -PromptGenerator = TypeVar("PromptGenerator") - - -class AutoGPTGuanaco(AutoGPTPluginTemplate): - """ - This is plugin for Auto-GPT. - """ - - def __init__(self): - super().__init__() - self._name = "Auto-GPT-Guanaco" - self._version = "0.1.0" - self._description = "This is a Guanaco local model plugin." - - def can_handle_on_response(self) -> bool: - """This method is called to check that the plugin can - handle the on_response method. - - Returns: - bool: True if the plugin can handle the on_response method.""" - return False - - def on_response(self, response: str, *args, **kwargs) -> str: - """This method is called when a response is received from the model.""" - if len(response): - print("OMG OMG It's Alive!") - else: - print("Is it alive?") - - def can_handle_post_prompt(self) -> bool: - """This method is called to check that the plugin can - handle the post_prompt method. - - Returns: - bool: True if the plugin can handle the post_prompt method.""" - return False - - def post_prompt(self, prompt: PromptGenerator) -> PromptGenerator: - """This method is called just after the generate_prompt is called, - but actually before the prompt is generated. - - Args: - prompt (PromptGenerator): The prompt generator. - - Returns: - PromptGenerator: The prompt generator. - """ - - def can_handle_on_planning(self) -> bool: - """This method is called to check that the plugin can - handle the on_planning method. - - Returns: - bool: True if the plugin can handle the on_planning method.""" - return False - - def on_planning( - self, prompt: PromptGenerator, messages: List[str] - ) -> Optional[str]: - """This method is called before the planning chat completeion is done. - - Args: - prompt (PromptGenerator): The prompt generator. - messages (List[str]): The list of messages. - """ - - def can_handle_post_planning(self) -> bool: - """This method is called to check that the plugin can - handle the post_planning method. - - Returns: - bool: True if the plugin can handle the post_planning method.""" - return False - - def post_planning(self, response: str) -> str: - """This method is called after the planning chat completeion is done. - - Args: - response (str): The response. - - Returns: - str: The resulting response. - """ - - def can_handle_pre_instruction(self) -> bool: - """This method is called to check that the plugin can - handle the pre_instruction method. - - Returns: - bool: True if the plugin can handle the pre_instruction method.""" - return False - - def pre_instruction(self, messages: List[str]) -> List[str]: - """This method is called before the instruction chat is done. - - Args: - messages (List[str]): The list of context messages. - - Returns: - List[str]: The resulting list of messages. - """ - - def can_handle_on_instruction(self) -> bool: - """This method is called to check that the plugin can - handle the on_instruction method. - - Returns: - bool: True if the plugin can handle the on_instruction method.""" - return False - - def on_instruction(self, messages: List[str]) -> Optional[str]: - """This method is called when the instruction chat is done. - - Args: - messages (List[str]): The list of context messages. - - Returns: - Optional[str]: The resulting message. - """ - - def can_handle_post_instruction(self) -> bool: - """This method is called to check that the plugin can - handle the post_instruction method. - - Returns: - bool: True if the plugin can handle the post_instruction method.""" - return False - - def post_instruction(self, response: str) -> str: - """This method is called after the instruction chat is done. - - Args: - response (str): The response. - - Returns: - str: The resulting response. - """ - - def can_handle_pre_command(self) -> bool: - """This method is called to check that the plugin can - handle the pre_command method. - - Returns: - bool: True if the plugin can handle the pre_command method.""" - return False - - def pre_command( - self, command_name: str, arguments: Dict[str, Any] - ) -> Tuple[str, Dict[str, Any]]: - """This method is called before the command is executed. - - Args: - command_name (str): The command name. - arguments (Dict[str, Any]): The arguments. - - Returns: - Tuple[str, Dict[str, Any]]: The command name and the arguments. - """ - - def can_handle_post_command(self) -> bool: - """This method is called to check that the plugin can - handle the post_command method. - - Returns: - bool: True if the plugin can handle the post_command method.""" - return False - - def post_command(self, command_name: str, response: str) -> str: - """This method is called after the command is executed. - - Args: - command_name (str): The command name. - response (str): The response. - - Returns: - str: The resulting response. - """ - - def can_handle_chat_completion( - self, - messages: list[Dict[Any, Any]], - model: str, - temperature: float, - max_tokens: int, - ) -> bool: - """This method is called to check that the plugin can - handle the chat_completion method. - - Args: - messages (Dict[Any, Any]): The messages. - model (str): The model name. - temperature (float): The temperature. - max_tokens (int): The max tokens. - - Returns: - bool: True if the plugin can handle the chat_completion method.""" - return False - - def handle_chat_completion( - self, - messages: list[Dict[Any, Any]], - model: str, - temperature: float, - max_tokens: int, - ) -> str: - """This method is called when the chat completion is done. - - Args: - messages (Dict[Any, Any]): The messages. - model (str): The model name. - temperature (float): The temperature. - max_tokens (int): The max tokens. - - Returns: - str: The resulting response. - """ - - def can_handle_text_embedding(self, text: str) -> bool: - """This method is called to check that the plugin can - handle the text_embedding method. - Args: - text (str): The text to be convert to embedding. - Returns: - bool: True if the plugin can handle the text_embedding method.""" - return False - - def handle_text_embedding(self, text: str) -> list: - """This method is called when the chat completion is done. - Args: - text (str): The text to be convert to embedding. - Returns: - list: The text embedding. - """ - - def can_handle_user_input(self, user_input: str) -> bool: - """This method is called to check that the plugin can - handle the user_input method. - - Args: - user_input (str): The user input. - - Returns: - bool: True if the plugin can handle the user_input method.""" - return False - - def user_input(self, user_input: str) -> str: - """This method is called to request user input to the user. - - Args: - user_input (str): The question or prompt to ask the user. - - Returns: - str: The user input. - """ - - def can_handle_report(self) -> bool: - """This method is called to check that the plugin can - handle the report method. - - Returns: - bool: True if the plugin can handle the report method.""" - return False - - def report(self, message: str) -> None: - """This method is called to report a message to the user. - - Args: - message (str): The message to report. - """ |