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| """Configuration class to store the state of bools for different scripts access.""" | |
| import os | |
| import openai | |
| import yaml | |
| from colorama import Fore | |
| from dotenv import load_dotenv | |
| from autogpt.config.singleton import Singleton | |
| load_dotenv(verbose=True) | |
| class Config(metaclass=Singleton): | |
| """ | |
| Configuration class to store the state of bools for different scripts access. | |
| """ | |
| def __init__(self) -> None: | |
| """Initialize the Config class""" | |
| self.debug_mode = False | |
| self.continuous_mode = False | |
| self.continuous_limit = 0 | |
| self.speak_mode = False | |
| self.skip_reprompt = False | |
| self.allow_downloads = False | |
| self.skip_news = False | |
| self.ai_settings_file = os.getenv("AI_SETTINGS_FILE", "ai_settings.yaml") | |
| self.fast_llm_model = os.getenv("FAST_LLM_MODEL", "gpt-3.5-turbo") | |
| self.smart_llm_model = os.getenv("SMART_LLM_MODEL", "gpt-4") | |
| self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000)) | |
| self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000)) | |
| self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 8192)) | |
| self.openai_api_key = os.getenv("OPENAI_API_KEY") | |
| self.temperature = float(os.getenv("TEMPERATURE", "1")) | |
| self.use_azure = os.getenv("USE_AZURE") == "True" | |
| self.execute_local_commands = ( | |
| os.getenv("EXECUTE_LOCAL_COMMANDS", "False") == "True" | |
| ) | |
| self.restrict_to_workspace = ( | |
| os.getenv("RESTRICT_TO_WORKSPACE", "True") == "True" | |
| ) | |
| if self.use_azure: | |
| self.load_azure_config() | |
| openai.api_type = self.openai_api_type | |
| openai.api_base = self.openai_api_base | |
| openai.api_version = self.openai_api_version | |
| self.elevenlabs_api_key = os.getenv("ELEVENLABS_API_KEY") | |
| self.elevenlabs_voice_1_id = os.getenv("ELEVENLABS_VOICE_1_ID") | |
| self.elevenlabs_voice_2_id = os.getenv("ELEVENLABS_VOICE_2_ID") | |
| self.use_mac_os_tts = False | |
| self.use_mac_os_tts = os.getenv("USE_MAC_OS_TTS") | |
| self.use_brian_tts = False | |
| self.use_brian_tts = os.getenv("USE_BRIAN_TTS") | |
| self.github_api_key = os.getenv("GITHUB_API_KEY") | |
| self.github_username = os.getenv("GITHUB_USERNAME") | |
| self.google_api_key = os.getenv("GOOGLE_API_KEY") | |
| self.custom_search_engine_id = os.getenv("CUSTOM_SEARCH_ENGINE_ID") | |
| self.pinecone_api_key = os.getenv("PINECONE_API_KEY") | |
| self.pinecone_region = os.getenv("PINECONE_ENV") | |
| self.weaviate_host = os.getenv("WEAVIATE_HOST") | |
| self.weaviate_port = os.getenv("WEAVIATE_PORT") | |
| self.weaviate_protocol = os.getenv("WEAVIATE_PROTOCOL", "http") | |
| self.weaviate_username = os.getenv("WEAVIATE_USERNAME", None) | |
| self.weaviate_password = os.getenv("WEAVIATE_PASSWORD", None) | |
| self.weaviate_scopes = os.getenv("WEAVIATE_SCOPES", None) | |
| self.weaviate_embedded_path = os.getenv("WEAVIATE_EMBEDDED_PATH") | |
| self.weaviate_api_key = os.getenv("WEAVIATE_API_KEY", None) | |
| self.use_weaviate_embedded = ( | |
| os.getenv("USE_WEAVIATE_EMBEDDED", "False") == "True" | |
| ) | |
| # milvus configuration, e.g., localhost:19530. | |
| self.milvus_addr = os.getenv("MILVUS_ADDR", "localhost:19530") | |
| self.milvus_collection = os.getenv("MILVUS_COLLECTION", "autogpt") | |
| self.image_provider = os.getenv("IMAGE_PROVIDER") | |
| self.image_size = int(os.getenv("IMAGE_SIZE", 256)) | |
| self.huggingface_api_token = os.getenv("HUGGINGFACE_API_TOKEN") | |
| self.huggingface_image_model = os.getenv( | |
| "HUGGINGFACE_IMAGE_MODEL", "CompVis/stable-diffusion-v1-4" | |
| ) | |
| self.huggingface_audio_to_text_model = os.getenv( | |
| "HUGGINGFACE_AUDIO_TO_TEXT_MODEL" | |
| ) | |
| self.sd_webui_url = os.getenv("SD_WEBUI_URL", "http://localhost:7860") | |
| self.sd_webui_auth = os.getenv("SD_WEBUI_AUTH") | |
| # Selenium browser settings | |
| self.selenium_web_browser = os.getenv("USE_WEB_BROWSER", "chrome") | |
| self.selenium_headless = os.getenv("HEADLESS_BROWSER", "True") == "True" | |
| # User agent header to use when making HTTP requests | |
| # Some websites might just completely deny request with an error code if | |
| # no user agent was found. | |
| self.user_agent = os.getenv( | |
| "USER_AGENT", | |
| "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36" | |
| " (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36", | |
| ) | |
| self.redis_host = os.getenv("REDIS_HOST", "localhost") | |
| self.redis_port = os.getenv("REDIS_PORT", "6379") | |
| self.redis_password = os.getenv("REDIS_PASSWORD", "") | |
| self.wipe_redis_on_start = os.getenv("WIPE_REDIS_ON_START", "True") == "True" | |
| self.memory_index = os.getenv("MEMORY_INDEX", "auto-gpt") | |
| # Note that indexes must be created on db 0 in redis, this is not configurable. | |
| self.memory_backend = os.getenv("MEMORY_BACKEND", "local") | |
| # Initialize the OpenAI API client | |
| openai.api_key = self.openai_api_key | |
| def get_azure_deployment_id_for_model(self, model: str) -> str: | |
| """ | |
| Returns the relevant deployment id for the model specified. | |
| Parameters: | |
| model(str): The model to map to the deployment id. | |
| Returns: | |
| The matching deployment id if found, otherwise an empty string. | |
| """ | |
| if model == self.fast_llm_model: | |
| return self.azure_model_to_deployment_id_map[ | |
| "fast_llm_model_deployment_id" | |
| ] # type: ignore | |
| elif model == self.smart_llm_model: | |
| return self.azure_model_to_deployment_id_map[ | |
| "smart_llm_model_deployment_id" | |
| ] # type: ignore | |
| elif model == "text-embedding-ada-002": | |
| return self.azure_model_to_deployment_id_map[ | |
| "embedding_model_deployment_id" | |
| ] # type: ignore | |
| else: | |
| return "" | |
| AZURE_CONFIG_FILE = os.path.join(os.path.dirname(__file__), "..", "azure.yaml") | |
| def load_azure_config(self, config_file: str = AZURE_CONFIG_FILE) -> None: | |
| """ | |
| Loads the configuration parameters for Azure hosting from the specified file | |
| path as a yaml file. | |
| Parameters: | |
| config_file(str): The path to the config yaml file. DEFAULT: "../azure.yaml" | |
| Returns: | |
| None | |
| """ | |
| try: | |
| with open(config_file) as file: | |
| config_params = yaml.load(file, Loader=yaml.FullLoader) | |
| except FileNotFoundError: | |
| config_params = {} | |
| self.openai_api_type = config_params.get("azure_api_type") or "azure" | |
| self.openai_api_base = config_params.get("azure_api_base") or "" | |
| self.openai_api_version = ( | |
| config_params.get("azure_api_version") or "2023-03-15-preview" | |
| ) | |
| self.azure_model_to_deployment_id_map = config_params.get("azure_model_map", []) | |
| def set_continuous_mode(self, value: bool) -> None: | |
| """Set the continuous mode value.""" | |
| self.continuous_mode = value | |
| def set_continuous_limit(self, value: int) -> None: | |
| """Set the continuous limit value.""" | |
| self.continuous_limit = value | |
| def set_speak_mode(self, value: bool) -> None: | |
| """Set the speak mode value.""" | |
| self.speak_mode = value | |
| def set_fast_llm_model(self, value: str) -> None: | |
| """Set the fast LLM model value.""" | |
| self.fast_llm_model = value | |
| def set_smart_llm_model(self, value: str) -> None: | |
| """Set the smart LLM model value.""" | |
| self.smart_llm_model = value | |
| def set_fast_token_limit(self, value: int) -> None: | |
| """Set the fast token limit value.""" | |
| self.fast_token_limit = value | |
| def set_smart_token_limit(self, value: int) -> None: | |
| """Set the smart token limit value.""" | |
| self.smart_token_limit = value | |
| def set_browse_chunk_max_length(self, value: int) -> None: | |
| """Set the browse_website command chunk max length value.""" | |
| self.browse_chunk_max_length = value | |
| def set_openai_api_key(self, value: str) -> None: | |
| """Set the OpenAI API key value.""" | |
| self.openai_api_key = value | |
| def set_elevenlabs_api_key(self, value: str) -> None: | |
| """Set the ElevenLabs API key value.""" | |
| self.elevenlabs_api_key = value | |
| def set_elevenlabs_voice_1_id(self, value: str) -> None: | |
| """Set the ElevenLabs Voice 1 ID value.""" | |
| self.elevenlabs_voice_1_id = value | |
| def set_elevenlabs_voice_2_id(self, value: str) -> None: | |
| """Set the ElevenLabs Voice 2 ID value.""" | |
| self.elevenlabs_voice_2_id = value | |
| def set_google_api_key(self, value: str) -> None: | |
| """Set the Google API key value.""" | |
| self.google_api_key = value | |
| def set_custom_search_engine_id(self, value: str) -> None: | |
| """Set the custom search engine id value.""" | |
| self.custom_search_engine_id = value | |
| def set_pinecone_api_key(self, value: str) -> None: | |
| """Set the Pinecone API key value.""" | |
| self.pinecone_api_key = value | |
| def set_pinecone_region(self, value: str) -> None: | |
| """Set the Pinecone region value.""" | |
| self.pinecone_region = value | |
| def set_debug_mode(self, value: bool) -> None: | |
| """Set the debug mode value.""" | |
| self.debug_mode = value | |
| def check_openai_api_key() -> None: | |
| """Check if the OpenAI API key is set in config.py or as an environment variable.""" | |
| cfg = Config() | |
| if not cfg.openai_api_key: | |
| print( | |
| Fore.RED | |
| + "Please set your OpenAI API key in .env or as an environment variable." | |
| ) | |
| print("You can get your key from https://platform.openai.com/account/api-keys") | |
| exit(1) | |