mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-04-08 03:00:28 -04:00
feat(classic): improve AutoGPT configuration and setup
Environment loading: - Search for .env in multiple locations (cwd, ~/.autogpt, ~/.config/autogpt) - Allows running autogpt from any directory - Document search order in .env.template Setup simplification: - Remove interactive AI settings revision (was broken/unused) - Simplify to just printing current settings - Clean up unused imports Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Nicholas Tindle
@@ -1,3 +1,18 @@
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################################################################################
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### AutoGPT - CONFIGURATION FILE
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################################################################################
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#
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# AutoGPT searches for .env files in these locations (first found wins):
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# 1. Current working directory (./.env)
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# 2. User config directory (~/.autogpt/.env)
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# 3. XDG config directory (~/.config/autogpt/.env)
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# 4. Package installation directory
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#
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# For user-level configuration that works from any directory, copy this file to:
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# ~/.autogpt/.env
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#
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################################################################################
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################################################################################
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### AutoGPT - GENERAL SETTINGS
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################################################################################
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@@ -1,6 +1,31 @@
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from pathlib import Path
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from dotenv import load_dotenv
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# Load the users .env file into environment variables
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load_dotenv(verbose=True, override=True)
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del load_dotenv
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def _load_env_from_locations() -> None:
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"""Load .env from multiple locations (first found wins).
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This allows running autogpt from any directory while still finding credentials.
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Search order:
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1. Current working directory
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2. User config (~/.autogpt/.env)
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3. XDG config (~/.config/autogpt/.env)
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4. Package installation directory
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"""
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env_locations = [
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Path.cwd() / ".env",
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Path.home() / ".autogpt" / ".env",
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Path.home() / ".config" / "autogpt" / ".env",
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Path(__file__).parent.parent.parent / ".env",
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]
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for env_path in env_locations:
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if env_path.exists():
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load_dotenv(env_path, verbose=True, override=True)
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break
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_load_env_from_locations()
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del _load_env_from_locations, load_dotenv, Path
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@@ -19,8 +19,8 @@ logger = logging.getLogger(__name__)
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AZURE_CONFIG_FILE = Path("azure.yaml")
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GPT_4_MODEL = OpenAIModelName.GPT4
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GPT_3_MODEL = OpenAIModelName.GPT3
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GPT_4_MODEL = OpenAIModelName.GPT4_O
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GPT_3_MODEL = OpenAIModelName.GPT4_O_MINI # Fallback model for when configured model is unavailable
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class AppConfig(BaseConfig):
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@@ -8,8 +8,6 @@ from forge.logging.utils import print_attribute
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from autogpt.app.config import AppConfig
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from .input import clean_input
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logger = logging.getLogger(__name__)
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@@ -49,7 +47,7 @@ async def interactively_revise_ai_settings(
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directives: AIDirectives,
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app_config: AppConfig,
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):
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"""Interactively revise the AI settings.
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"""Print AI settings and return them.
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Args:
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ai_profile (AIConfig): The current AI profile.
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@@ -57,126 +55,20 @@ async def interactively_revise_ai_settings(
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app_config (Config): The application configuration.
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Returns:
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AIConfig: The revised AI settings.
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AIConfig: The AI settings.
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"""
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logger = logging.getLogger("revise_ai_profile")
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revised = False
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while True:
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# Print the current AI configuration
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print_ai_settings(
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title="Current AI Settings" if not revised else "Revised AI Settings",
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ai_profile=ai_profile,
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directives=directives,
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logger=logger,
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)
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if (
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clean_input("Continue with these settings? [Y/n]").lower()
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or app_config.authorise_key
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) == app_config.authorise_key:
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break
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# Ask for revised ai_profile
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ai_profile.ai_name = (
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clean_input("Enter AI name (or press enter to keep current):")
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or ai_profile.ai_name
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)
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ai_profile.ai_role = (
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clean_input("Enter new AI role (or press enter to keep current):")
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or ai_profile.ai_role
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)
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# Revise constraints
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i = 0
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while i < len(directives.constraints):
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constraint = directives.constraints[i]
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print_attribute(f"Constraint {i+1}:", f'"{constraint}"')
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new_constraint = (
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clean_input(
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f"Enter new constraint {i+1}"
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" (press enter to keep current, or '-' to remove):",
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)
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or constraint
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)
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if new_constraint == "-":
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directives.constraints.remove(constraint)
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continue
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elif new_constraint:
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directives.constraints[i] = new_constraint
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i += 1
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# Add new constraints
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while True:
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new_constraint = clean_input(
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"Press enter to finish, or enter a constraint to add:",
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)
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if not new_constraint:
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break
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directives.constraints.append(new_constraint)
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# Revise resources
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i = 0
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while i < len(directives.resources):
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resource = directives.resources[i]
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print_attribute(f"Resource {i+1}:", f'"{resource}"')
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new_resource = (
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clean_input(
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f"Enter new resource {i+1}"
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" (press enter to keep current, or '-' to remove):",
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)
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or resource
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)
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if new_resource == "-":
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directives.resources.remove(resource)
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continue
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elif new_resource:
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directives.resources[i] = new_resource
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i += 1
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# Add new resources
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while True:
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new_resource = clean_input(
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"Press enter to finish, or enter a resource to add:",
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)
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if not new_resource:
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break
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directives.resources.append(new_resource)
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# Revise best practices
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i = 0
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while i < len(directives.best_practices):
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best_practice = directives.best_practices[i]
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print_attribute(f"Best Practice {i+1}:", f'"{best_practice}"')
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new_best_practice = (
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clean_input(
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f"Enter new best practice {i+1}"
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" (press enter to keep current, or '-' to remove):",
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)
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or best_practice
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)
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if new_best_practice == "-":
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directives.best_practices.remove(best_practice)
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continue
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elif new_best_practice:
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directives.best_practices[i] = new_best_practice
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i += 1
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# Add new best practices
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while True:
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new_best_practice = clean_input(
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"Press enter to finish, or add a best practice to add:",
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)
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if not new_best_practice:
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break
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directives.best_practices.append(new_best_practice)
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revised = True
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print_ai_settings(
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title="AI Settings",
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ai_profile=ai_profile,
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directives=directives,
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logger=logger,
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)
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logger.info(
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"To customize, use CLI args: --ai-name, --ai-role, "
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"--constraint, --resource, --best-practice"
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)
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return ai_profile, directives
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