1 files changed, 0 insertions, 132 deletions
diff --git a/autogpt/prompts/prompt.py b/autogpt/prompts/prompt.py
deleted file mode 100644
index b5a0ec882..000000000
--- a/autogpt/prompts/prompt.py
+++ /dev/null
@@ -1,132 +0,0 @@
-from typing import Optional
-
-from colorama import Fore
-
-from autogpt.config.ai_config import AIConfig
-from autogpt.config.config import Config
-from autogpt.config.prompt_config import PromptConfig
-from autogpt.llm.api_manager import ApiManager
-from autogpt.logs import logger
-from autogpt.prompts.generator import PromptGenerator
-from autogpt.setup import prompt_user
-from autogpt.utils import clean_input
-
-DEFAULT_TRIGGERING_PROMPT = "Determine exactly one command to use, and respond using the JSON schema specified previously:"
-
-
-def build_default_prompt_generator(config: Config) -> PromptGenerator:
-    """
-    This function generates a prompt string that includes various constraints,
-        commands, resources, and performance evaluations.
-
-    Returns:
-        str: The generated prompt string.
-    """
-
-    # Initialize the PromptGenerator object
-    prompt_generator = PromptGenerator()
-
-    # Initialize the PromptConfig object and load the file set in the main config (default: prompts_settings.yaml)
-    prompt_config = PromptConfig(config.prompt_settings_file)
-
-    # Add constraints to the PromptGenerator object
-    for constraint in prompt_config.constraints:
-        prompt_generator.add_constraint(constraint)
-
-    # Add resources to the PromptGenerator object
-    for resource in prompt_config.resources:
-        prompt_generator.add_resource(resource)
-
-    # Add performance evaluations to the PromptGenerator object
-    for performance_evaluation in prompt_config.performance_evaluations:
-        prompt_generator.add_performance_evaluation(performance_evaluation)
-
-    return prompt_generator
-
-
-def construct_main_ai_config(
-    config: Config,
-    name: Optional[str] = None,
-    role: Optional[str] = None,
-    goals: tuple[str] = tuple(),
-) -> AIConfig:
-    """Construct the prompt for the AI to respond to
-
-    Returns:
-        str: The prompt string
-    """
-    ai_config = AIConfig.load(config.ai_settings_file)
-
-    # Apply overrides
-    if name:
-        ai_config.ai_name = name
-    if role:
-        ai_config.ai_role = role
-    if goals:
-        ai_config.ai_goals = list(goals)
-
-    if (
-        all([name, role, goals])
-        or config.skip_reprompt
-        and all([ai_config.ai_name, ai_config.ai_role, ai_config.ai_goals])
-    ):
-        logger.typewriter_log("Name :", Fore.GREEN, ai_config.ai_name)
-        logger.typewriter_log("Role :", Fore.GREEN, ai_config.ai_role)
-        logger.typewriter_log("Goals:", Fore.GREEN, f"{ai_config.ai_goals}")
-        logger.typewriter_log(
-            "API Budget:",
-            Fore.GREEN,
-            "infinite" if ai_config.api_budget <= 0 else f"${ai_config.api_budget}",
-        )
-    elif all([ai_config.ai_name, ai_config.ai_role, ai_config.ai_goals]):
-        logger.typewriter_log(
-            "Welcome back! ",
-            Fore.GREEN,
-            f"Would you like me to return to being {ai_config.ai_name}?",
-            speak_text=True,
-        )
-        should_continue = clean_input(
-            config,
-            f"""Continue with the last settings?
-Name:  {ai_config.ai_name}
-Role:  {ai_config.ai_role}
-Goals: {ai_config.ai_goals}
-API Budget: {"infinite" if ai_config.api_budget <= 0 else f"${ai_config.api_budget}"}
-Continue ({config.authorise_key}/{config.exit_key}): """,
-        )
-        if should_continue.lower() == config.exit_key:
-            ai_config = AIConfig()
-
-    if any([not ai_config.ai_name, not ai_config.ai_role, not ai_config.ai_goals]):
-        ai_config = prompt_user(config)
-        ai_config.save(config.ai_settings_file)
-
-    if config.restrict_to_workspace:
-        logger.typewriter_log(
-            "NOTE:All files/directories created by this agent can be found inside its workspace at:",
-            Fore.YELLOW,
-            f"{config.workspace_path}",
-        )
-    # set the total api budget
-    api_manager = ApiManager()
-    api_manager.set_total_budget(ai_config.api_budget)
-
-    # Agent Created, print message
-    logger.typewriter_log(
-        ai_config.ai_name,
-        Fore.LIGHTBLUE_EX,
-        "has been created with the following details:",
-        speak_text=True,
-    )
-
-    # Print the ai_config details
-    # Name
-    logger.typewriter_log("Name:", Fore.GREEN, ai_config.ai_name, speak_text=False)
-    # Role
-    logger.typewriter_log("Role:", Fore.GREEN, ai_config.ai_role, speak_text=False)
-    # Goals
-    logger.typewriter_log("Goals:", Fore.GREEN, "", speak_text=False)
-    for goal in ai_config.ai_goals:
-        logger.typewriter_log("-", Fore.GREEN, goal, speak_text=False)
-
-    return ai_config