2024-07-23 00:38:58 +00:00
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# Information for personality.py
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## Classes
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### AIPersonality
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```python
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class AIPersonality:
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def __init__(self, personality_package_path: str | Path, lollms_paths: LollmsPaths, config: LOLLMSConfig, model: LLMBinding = None, app: LoLLMsCom = None, run_scripts = True, selected_language = None, ignore_discussion_documents_rag = False, is_relative_path = True, installation_option: InstallOption = InstallOption.INSTALL_IF_NECESSARY, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def InfoMessage(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
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def ShowBlockingMessage(self, content, client_id = None, verbose: bool = True) -> Any
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def HideBlockingMessage(self, client_id = None, verbose: bool = True) -> Any
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def info(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
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def warning(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
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def success(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
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def error(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
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def notify(self, content, notification_type: NotificationType = NotificationType.NOTIF_SUCCESS, duration: int = 4, client_id = None, display_type: NotificationDisplayType = NotificationDisplayType.TOAST, verbose = True) -> Any
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def new_message(self, message_text: str, message_type: MSG_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT, metadata = [], callback: Callable[([str, int, dict, list, Any], bool)] = None) -> Any
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def set_message_content(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def ui(self, ui_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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2024-08-14 20:15:45 +00:00
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def set_message_content_invisible_to_ai(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def set_message_content_invisible_to_user(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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2024-07-23 00:38:58 +00:00
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def build_prompt(self, prompt_parts: List[str], sacrifice_id: int = -1, context_size: int = None, minimum_spare_context_size: int = None) -> Any
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def add_collapsible_entry(self, title, content) -> Any
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def internet_search_with_vectorization(self, query, quick_search: bool = False, asses_using_llm = True) -> Any
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def sink(self, s = None, i = None, d = None) -> Any
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def yes_no(self, question: str, context: str = '', max_answer_length: int = 50, conditionning = '') -> bool
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def multichoice_question(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
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def multichoice_ranking(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
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def step_start(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def step_end(self, step_text, status = True, callback: Callable[([str, int, dict, list], bool)] = None) -> Any
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def step(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def print_prompt(self, title, prompt) -> Any
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def fast_gen_with_images(self, prompt: str, images: list, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> str
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def fast_gen(self, prompt: str, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None) -> str
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def process(self, text: str, message_type: MSG_TYPE, callback = None, show_progress = False) -> Any
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def generate_with_images(self, prompt, images, max_size, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False, show_progress = False) -> Any
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def generate(self, prompt, max_size = None, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False, show_progress = False) -> Any
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def setCallback(self, callback: Callable[([str, MSG_TYPE, dict, list], bool)]) -> Any
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def __str__(self) -> Any
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def load_personality(self, package_path = None) -> Any
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def remove_file(self, file_name, callback = None) -> Any
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def remove_all_files(self, callback = None) -> Any
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def add_file(self, path, client: Client, callback = None, process = True) -> Any
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def save_personality(self, package_path = None) -> Any
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def as_dict(self) -> Any
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def conditionning_commands(self) -> Any
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def logo(self) -> Any
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def version(self) -> Any
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def version(self, value) -> Any
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def author(self) -> Any
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def author(self, value) -> Any
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def name(self) -> str
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def name(self, value: str) -> Any
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def user_name(self) -> str
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def user_name(self, value: str) -> Any
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def language(self) -> str
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def category(self) -> str
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def category_desc(self) -> str
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def language(self, value: str) -> Any
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def category(self, value: str) -> Any
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def category_desc(self, value: str) -> Any
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def supported_languages(self) -> str
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def supported_languages(self, value: str) -> Any
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def selected_language(self) -> str
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def selected_language(self, value: str) -> Any
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def ignore_discussion_documents_rag(self) -> str
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def ignore_discussion_documents_rag(self, value: str) -> Any
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def personality_description(self) -> str
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def personality_description(self, description: str) -> Any
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def personality_conditioning(self) -> str
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def personality_conditioning(self, conditioning: str) -> Any
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def prompts_list(self) -> str
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def prompts_list(self, prompts: str) -> Any
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def welcome_message(self) -> str
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def welcome_message(self, message: str) -> Any
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def include_welcome_message_in_discussion(self) -> bool
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def include_welcome_message_in_discussion(self, message: bool) -> Any
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def user_message_prefix(self) -> str
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def user_message_prefix(self, prefix: str) -> Any
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def link_text(self) -> str
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def link_text(self, text: str) -> Any
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def ai_message_prefix(self) -> Any
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def ai_message_prefix(self, prefix) -> Any
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def dependencies(self) -> List[str]
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def dependencies(self, dependencies: List[str]) -> Any
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def disclaimer(self) -> str
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def disclaimer(self, disclaimer: str) -> Any
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def help(self) -> str
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def help(self, help: str) -> Any
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def commands(self) -> str
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def commands(self, commands: str) -> Any
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def model_temperature(self) -> float
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def model_temperature(self, value: float) -> Any
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def model_top_k(self) -> int
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def model_top_k(self, value: int) -> Any
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def model_top_p(self) -> float
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def model_top_p(self, value: float) -> Any
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def model_repeat_penalty(self) -> float
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def model_repeat_penalty(self, value: float) -> Any
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def model_repeat_last_n(self) -> int
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def model_repeat_last_n(self, value: int) -> Any
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def assets_list(self) -> list
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def assets_list(self, value: list) -> Any
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def processor(self) -> APScript
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def processor(self, value: APScript) -> Any
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def processor_cfg(self) -> list
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def processor_cfg(self, value: dict) -> Any
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def start_header_id_template(self) -> str
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def end_header_id_template(self) -> str
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def system_message_template(self) -> str
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def separator_template(self) -> str
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def start_user_header_id_template(self) -> str
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def end_user_header_id_template(self) -> str
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def end_user_message_id_template(self) -> str
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def start_ai_header_id_template(self) -> str
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def end_ai_header_id_template(self) -> str
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def end_ai_message_id_template(self) -> str
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def system_full_header(self) -> str
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def user_full_header(self) -> str
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def ai_full_header(self) -> str
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def system_custom_header(self, ai_name) -> str
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def ai_custom_header(self, ai_name) -> str
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def detect_antiprompt(self, text: str) -> bool
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def replace_keys(input_string, replacements) -> Any
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def verify_rag_entry(self, query, rag_entry) -> Any
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def translate(self, text_chunk, output_language = 'french', max_generation_size = 3000) -> Any
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def summarize_text(self, text, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
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def smart_data_extraction(self, text, data_extraction_instruction = f'summarize the current chunk.', final_task_instruction = 'reformulate with better wording', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
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def summarize_chunks(self, chunks, summary_instruction = f'summarize the current chunk.', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
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def sequencial_chunks_summary(self, chunks, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None) -> Any
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```
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### StateMachine
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```python
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class StateMachine:
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def __init__(self, states_list) -> Any
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def goto_state(self, state) -> Any
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def process_state(self, command, full_context, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None, context_state: dict = None, client: Client = None) -> Any
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```
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### LoLLMsActionParameters
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```python
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class LoLLMsActionParameters:
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def __init__(self, name: str, parameter_type: Type, range: Optional[List] = None, options: Optional[List] = None, value: Any = None) -> None
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def __str__(self) -> str
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def from_str(string: str) -> LoLLMsActionParameters
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def from_dict(parameter_dict: dict) -> LoLLMsActionParameters
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```
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### LoLLMsActionParametersEncoder
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```python
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class LoLLMsActionParametersEncoder:
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def default(self, obj) -> Any
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```
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### LoLLMsAction
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```python
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class LoLLMsAction:
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def __init__(self, name, parameters: List[LoLLMsActionParameters], callback: Callable, description: str = '') -> None
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def __str__(self) -> str
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def from_str(string: str) -> LoLLMsAction
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def from_dict(action_dict: dict) -> LoLLMsAction
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def run(self) -> None
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```
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### APScript
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```python
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class APScript:
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def __init__(self, personality: AIPersonality, personality_config: TypedConfig, states_list: dict = {}, callback = None) -> None
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def sink(self, s = None, i = None, d = None) -> Any
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def settings_updated(self) -> Any
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def mounted(self) -> Any
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def get_welcome(self, welcome_message: str, client: Client) -> Any
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def selected(self) -> Any
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def execute_command(self, command: str, parameters: list = [], client: Client = None) -> Any
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def load_personality_config(self) -> Any
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def install(self) -> Any
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def uninstall(self) -> Any
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def add_file(self, path, client: Client, callback = None, process = True) -> Any
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def remove_file(self, path) -> Any
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def load_config_file(self, path, default_config = None) -> Any
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def save_config_file(self, path, data) -> Any
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def generate_with_images(self, prompt, images, max_size = None, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False) -> Any
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def generate(self, prompt, max_size = None, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False) -> Any
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def run_workflow(self, prompt: str, previous_discussion_text: str = '', callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None, context_details: dict = None, client: Client = None) -> Any
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def compile_latex(self, file_path, pdf_latex_path = None) -> Any
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def find_numeric_value(self, text) -> Any
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def remove_backticks(self, text) -> Any
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def search_duckduckgo(self, query: str, max_results: int = 10, instant_answers: bool = True, regular_search_queries: bool = True, get_webpage_content: bool = False) -> List[Dict[(str, Union[str, None])]]
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def translate(self, text_chunk, output_language = 'french', max_generation_size = 3000) -> Any
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def summarize_text(self, text, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
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def smart_data_extraction(self, text, data_extraction_instruction = 'summarize', final_task_instruction = 'reformulate with better wording', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
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def summarize_chunks(self, chunks, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
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def sequencial_chunks_summary(self, chunks, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None) -> Any
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def build_prompt_from_context_details(self, context_details: dict, custom_entries = '', suppress = []) -> Any
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def build_prompt(self, prompt_parts: List[str], sacrifice_id: int = -1, context_size: int = None, minimum_spare_context_size: int = None) -> Any
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def add_collapsible_entry(self, title, content, subtitle = '') -> Any
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def internet_search_with_vectorization(self, query, quick_search: bool = False) -> Any
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def vectorize_and_query(self, title, url, text, query, max_chunk_size = 512, overlap_size = 20, internet_vectorization_nb_chunks = 3) -> Any
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def step_start(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def step_end(self, step_text, status = True, callback: Callable[([str, int, dict, list], bool)] = None) -> Any
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def step(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def exception(self, ex, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def warning(self, warning: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def json(self, title: str, json_infos: dict, callback: Callable[([str, int, dict, list], bool)] = None, indent = 4) -> Any
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def ui(self, html_ui: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def ui_in_iframe(self, html_ui: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def code(self, code: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def add_chunk_to_message_content(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
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def set_message_content(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None, msg_type: MSG_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT) -> Any
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def set_message_content_invisible_to_ai(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
def set_message_content_invisible_to_user(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
def execute_python(self, code, code_folder = None, code_file_name = None) -> Any
|
|
|
|
|
def build_python_code(self, prompt, max_title_length = 4096) -> Any
|
|
|
|
|
def make_title(self, prompt, max_title_length: int = 50) -> Any
|
|
|
|
|
def plan_with_images(self, request: str, images: list, actions_list: list = [LoLLMsAction], context: str = '', max_answer_length: int = 512) -> List[LoLLMsAction]
|
|
|
|
|
def plan(self, request: str, actions_list: list = [LoLLMsAction], context: str = '', max_answer_length: int = 512) -> List[LoLLMsAction]
|
|
|
|
|
def parse_directory_structure(self, structure) -> Any
|
|
|
|
|
def extract_code_blocks(self, text: str) -> List[dict]
|
|
|
|
|
def build_and_execute_python_code(self, context, instructions, execution_function_signature, extra_imports = '') -> Any
|
|
|
|
|
def yes_no(self, question: str, context: str = '', max_answer_length: int = 50, conditionning = '') -> bool
|
|
|
|
|
def multichoice_question(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
|
|
|
|
|
def multichoice_ranking(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
|
|
|
|
|
def build_html5_integration(self, html, ifram_name = 'unnamed') -> Any
|
|
|
|
|
def InfoMessage(self, content, client_id = None, verbose: bool = None) -> Any
|
|
|
|
|
def info(self, info_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
def step_progress(self, step_text: str, progress: float, callback: Callable[([str, MSG_TYPE, dict, list, AIPersonality], bool)] = None) -> Any
|
2024-08-14 20:15:45 +00:00
|
|
|
def new_message(self, message_text: str, message_type: MSG_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT, metadata = [], callback: Callable[([str, int, dict, list, AIPersonality], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
def finished_message(self, message_text: str = '', callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
def print_prompt(self, title, prompt) -> Any
|
|
|
|
|
def fast_gen_with_images(self, prompt: str, images: list, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> str
|
|
|
|
|
def fast_gen(self, prompt: str, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> str
|
|
|
|
|
def mix_it_up(self, prompt: str, models, master_model, nb_rounds = 2, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> dict
|
|
|
|
|
def generate_with_function_calls(self, context_details: dict, functions: List[Dict[(str, Any)]], max_answer_length: Optional[int] = None, callback = None) -> List[Dict[(str, Any)]]
|
|
|
|
|
def generate_with_function_calls_and_images(self, context_details: dict, images: list, functions: List[Dict[(str, Any)]], max_answer_length: Optional[int] = None, callback = None) -> List[Dict[(str, Any)]]
|
|
|
|
|
def execute_function(self, code, function_definitions = None) -> Any
|
|
|
|
|
def execute_function_calls(self, function_calls: List[Dict[(str, Any)]], function_definitions: List[Dict[(str, Any)]]) -> List[Any]
|
|
|
|
|
def transform_functions_to_text(self, functions) -> Any
|
|
|
|
|
def transform_functions(self, functions) -> Any
|
|
|
|
|
def _upgrade_prompt_with_function_info(self, context_details: dict, functions: List[Dict[(str, Any)]]) -> str
|
|
|
|
|
def extract_function_calls_as_json(self, text: str) -> List[Dict[(str, Any)]]
|
|
|
|
|
def interact(self, context_details, callback = None) -> Any
|
|
|
|
|
def interact_with_function_call(self, context_details, function_definitions, prompt_after_execution = True, callback = None, hide_function_call = False, separate_output = False, max_nested_function_calls = 10) -> Any
|
|
|
|
|
def path2url(file) -> Any
|
|
|
|
|
def build_a_document_block(self, title = 'Title', link = '', content = 'content') -> Any
|
|
|
|
|
def build_a_folder_link(self, folder_path, link_text = 'Open Folder') -> Any
|
|
|
|
|
def build_a_file_link(self, file_path, link_text = 'Open Folder') -> Any
|
|
|
|
|
def compress_js(self, code) -> Any
|
|
|
|
|
def compress_python(self, code) -> Any
|
|
|
|
|
def compress_html(self, code) -> Any
|
|
|
|
|
def select_model(self, binding_name, model_name) -> Any
|
|
|
|
|
def verify_rag_entry(self, query, rag_entry) -> Any
|
|
|
|
|
def start_header_id_template(self) -> str
|
|
|
|
|
def end_header_id_template(self) -> str
|
|
|
|
|
def system_message_template(self) -> str
|
|
|
|
|
def separator_template(self) -> str
|
|
|
|
|
def start_user_header_id_template(self) -> str
|
|
|
|
|
def end_user_header_id_template(self) -> str
|
|
|
|
|
def end_user_message_id_template(self) -> str
|
|
|
|
|
def start_ai_header_id_template(self) -> str
|
|
|
|
|
def end_ai_header_id_template(self) -> str
|
|
|
|
|
def end_ai_message_id_template(self) -> str
|
|
|
|
|
def system_full_header(self) -> str
|
|
|
|
|
def user_full_header(self) -> str
|
|
|
|
|
def ai_full_header(self) -> str
|
|
|
|
|
def system_custom_header(self, ai_name) -> str
|
|
|
|
|
def ai_custom_header(self, ai_name) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### AIPersonalityInstaller
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
class AIPersonalityInstaller:
|
|
|
|
|
def __init__(self, personality: AIPersonality) -> None
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### PersonalityBuilder
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
class PersonalityBuilder:
|
|
|
|
|
def __init__(self, lollms_paths: LollmsPaths, config: LOLLMSConfig, model: LLMBinding, app = None, installation_option: InstallOption = InstallOption.INSTALL_IF_NECESSARY, callback = None) -> Any
|
|
|
|
|
def build_personality(self, id: int = None) -> Any
|
|
|
|
|
def get_personality(self) -> Any
|
|
|
|
|
def extract_function_call(self, query) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## Functions
|
|
|
|
|
|
|
|
|
|
### get_element_id
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def get_element_id(url, text) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### craft_a_tag_to_specific_text
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def craft_a_tag_to_specific_text(url, text, caption) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### is_package_installed
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def is_package_installed(package_name) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### install_package
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def install_package(package_name) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### fix_json
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def fix_json(json_text) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate_actions
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate_actions(potential_actions: List[LoLLMsAction], parsed_text: dict) -> List[LoLLMsAction]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, personality_package_path: str | Path, lollms_paths: LollmsPaths, config: LOLLMSConfig, model: LLMBinding = None, app: LoLLMsCom = None, run_scripts = True, selected_language = None, ignore_discussion_documents_rag = False, is_relative_path = True, installation_option: InstallOption = InstallOption.INSTALL_IF_NECESSARY, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### InfoMessage
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def InfoMessage(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ShowBlockingMessage
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ShowBlockingMessage(self, content, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### HideBlockingMessage
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def HideBlockingMessage(self, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### info
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def info(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### warning
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def warning(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### success
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def success(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### error
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def error(self, content, duration: int = 4, client_id = None, verbose: bool = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### notify
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def notify(self, content, notification_type: NotificationType = NotificationType.NOTIF_SUCCESS, duration: int = 4, client_id = None, display_type: NotificationDisplayType = NotificationDisplayType.TOAST, verbose = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### new_message
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def new_message(self, message_text: str, message_type: MSG_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT, metadata = [], callback: Callable[([str, int, dict, list, Any], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### full
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def set_message_content(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ui
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ui(self, ui_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### full_invisible_to_ai
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def set_message_content_invisible_to_ai(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### full_invisible_to_user
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def set_message_content_invisible_to_user(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_prompt
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_prompt(self, prompt_parts: List[str], sacrifice_id: int = -1, context_size: int = None, minimum_spare_context_size: int = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### add_collapsible_entry
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def add_collapsible_entry(self, title, content) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### internet_search_with_vectorization
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def internet_search_with_vectorization(self, query, quick_search: bool = False, asses_using_llm = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### sink
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def sink(self, s = None, i = None, d = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### yes_no
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def yes_no(self, question: str, context: str = '', max_answer_length: int = 50, conditionning = '') -> bool
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### multichoice_question
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def multichoice_question(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### multichoice_ranking
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def multichoice_ranking(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step_start
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step_start(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step_end
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step_end(self, step_text, status = True, callback: Callable[([str, int, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### print_prompt
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def print_prompt(self, title, prompt) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### fast_gen_with_images
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def fast_gen_with_images(self, prompt: str, images: list, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### fast_gen
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def fast_gen(self, prompt: str, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### process
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def process(self, text: str, message_type: MSG_TYPE, callback = None, show_progress = False) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate_with_images
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate_with_images(self, prompt, images, max_size, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False, show_progress = False) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate(self, prompt, max_size = None, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False, show_progress = False) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### setCallback
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def setCallback(self, callback: Callable[([str, MSG_TYPE, dict, list], bool)]) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __str__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __str__(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### load_personality
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def load_personality(self, package_path = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### remove_file
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def remove_file(self, file_name, callback = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### remove_all_files
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def remove_all_files(self, callback = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### add_file
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def add_file(self, path, client: Client, callback = None, process = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### save_personality
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def save_personality(self, package_path = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### as_dict
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def as_dict(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### conditionning_commands
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def conditionning_commands(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### logo
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def logo(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### version
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def version(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### version
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def version(self, value) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### author
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def author(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### author
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def author(self, value) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### name
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def name(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### name
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def name(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### user_name
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def user_name(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### user_name
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def user_name(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### language
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def language(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### category
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def category(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### category_desc
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def category_desc(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### language
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def language(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### category
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def category(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### category_desc
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def category_desc(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### supported_languages
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def supported_languages(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### supported_languages
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def supported_languages(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### selected_language
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def selected_language(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### selected_language
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def selected_language(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ignore_discussion_documents_rag
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ignore_discussion_documents_rag(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ignore_discussion_documents_rag
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ignore_discussion_documents_rag(self, value: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### personality_description
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def personality_description(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### personality_description
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def personality_description(self, description: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### personality_conditioning
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def personality_conditioning(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### personality_conditioning
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def personality_conditioning(self, conditioning: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### prompts_list
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def prompts_list(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### prompts_list
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def prompts_list(self, prompts: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### welcome_message
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def welcome_message(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### welcome_message
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def welcome_message(self, message: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### include_welcome_message_in_discussion
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def include_welcome_message_in_discussion(self) -> bool
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### include_welcome_message_in_discussion
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def include_welcome_message_in_discussion(self, message: bool) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### user_message_prefix
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def user_message_prefix(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### user_message_prefix
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def user_message_prefix(self, prefix: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### link_text
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def link_text(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### link_text
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def link_text(self, text: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ai_message_prefix
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ai_message_prefix(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ai_message_prefix
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ai_message_prefix(self, prefix) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### dependencies
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def dependencies(self) -> List[str]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### dependencies
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def dependencies(self, dependencies: List[str]) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### disclaimer
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def disclaimer(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### disclaimer
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def disclaimer(self, disclaimer: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### help
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def help(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### help
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def help(self, help: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### commands
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def commands(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### commands
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def commands(self, commands: str) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_temperature
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_temperature(self) -> float
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_temperature
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_temperature(self, value: float) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_top_k
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_top_k(self) -> int
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_top_k
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_top_k(self, value: int) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_top_p
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_top_p(self) -> float
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_top_p
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_top_p(self, value: float) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_repeat_penalty
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_repeat_penalty(self) -> float
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_repeat_penalty
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_repeat_penalty(self, value: float) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_repeat_last_n
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_repeat_last_n(self) -> int
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### model_repeat_last_n
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def model_repeat_last_n(self, value: int) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### assets_list
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def assets_list(self) -> list
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### assets_list
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def assets_list(self, value: list) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### processor
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def processor(self) -> APScript
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### processor
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def processor(self, value: APScript) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### processor_cfg
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def processor_cfg(self) -> list
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### processor_cfg
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def processor_cfg(self, value: dict) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### start_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def start_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### system_message_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def system_message_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### separator_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def separator_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### start_user_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def start_user_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_user_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_user_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_user_message_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_user_message_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### start_ai_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def start_ai_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_ai_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_ai_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_ai_message_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_ai_message_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### system_full_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def system_full_header(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### user_full_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def user_full_header(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ai_full_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ai_full_header(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### system_custom_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def system_custom_header(self, ai_name) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ai_custom_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ai_custom_header(self, ai_name) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### detect_antiprompt
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def detect_antiprompt(self, text: str) -> bool
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### replace_keys
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def replace_keys(input_string, replacements) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### verify_rag_entry
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def verify_rag_entry(self, query, rag_entry) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### translate
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def translate(self, text_chunk, output_language = 'french', max_generation_size = 3000) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### summarize_text
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def summarize_text(self, text, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### smart_data_extraction
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def smart_data_extraction(self, text, data_extraction_instruction = f'summarize the current chunk.', final_task_instruction = 'reformulate with better wording', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### summarize_chunks
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def summarize_chunks(self, chunks, summary_instruction = f'summarize the current chunk.', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### sequencial_chunks_summary
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def sequencial_chunks_summary(self, chunks, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, states_list) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### goto_state
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def goto_state(self, state) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### process_state
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def process_state(self, command, full_context, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None, context_state: dict = None, client: Client = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, name: str, parameter_type: Type, range: Optional[List] = None, options: Optional[List] = None, value: Any = None) -> None
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __str__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __str__(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### from_str
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def from_str(string: str) -> LoLLMsActionParameters
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### from_dict
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def from_dict(parameter_dict: dict) -> LoLLMsActionParameters
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### default
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def default(self, obj) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, name, parameters: List[LoLLMsActionParameters], callback: Callable, description: str = '') -> None
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __str__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __str__(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### from_str
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def from_str(string: str) -> LoLLMsAction
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### from_dict
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def from_dict(action_dict: dict) -> LoLLMsAction
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### run
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def run(self) -> None
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, personality: AIPersonality, personality_config: TypedConfig, states_list: dict = {}, callback = None) -> None
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### sink
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def sink(self, s = None, i = None, d = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### settings_updated
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def settings_updated(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### mounted
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def mounted(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### get_welcome
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def get_welcome(self, welcome_message: str, client: Client) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### selected
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def selected(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### execute_command
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def execute_command(self, command: str, parameters: list = [], client: Client = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### load_personality_config
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def load_personality_config(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### install
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def install(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### uninstall
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def uninstall(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### add_file
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def add_file(self, path, client: Client, callback = None, process = True) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### remove_file
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def remove_file(self, path) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### load_config_file
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def load_config_file(self, path, default_config = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### save_config_file
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def save_config_file(self, path, data) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate_with_images
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate_with_images(self, prompt, images, max_size = None, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate(self, prompt, max_size = None, temperature = None, top_k = None, top_p = None, repeat_penalty = None, repeat_last_n = None, callback = None, debug = False) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### run_workflow
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def run_workflow(self, prompt: str, previous_discussion_text: str = '', callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None, context_details: dict = None, client: Client = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### compile_latex
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def compile_latex(self, file_path, pdf_latex_path = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### find_numeric_value
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def find_numeric_value(self, text) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### remove_backticks
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def remove_backticks(self, text) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### search_duckduckgo
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def search_duckduckgo(self, query: str, max_results: int = 10, instant_answers: bool = True, regular_search_queries: bool = True, get_webpage_content: bool = False) -> List[Dict[(str, Union[str, None])]]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### translate
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def translate(self, text_chunk, output_language = 'french', max_generation_size = 3000) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### summarize_text
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def summarize_text(self, text, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### smart_data_extraction
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def smart_data_extraction(self, text, data_extraction_instruction = 'summarize', final_task_instruction = 'reformulate with better wording', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, max_summary_size = 512, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### summarize_chunks
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def summarize_chunks(self, chunks, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None, summary_mode = SUMMARY_MODE.SUMMARY_MODE_SEQUENCIAL) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### sequencial_chunks_summary
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def sequencial_chunks_summary(self, chunks, summary_instruction = 'summarize', doc_name = 'chunk', answer_start = '', max_generation_size = 3000, callback = None, chunk_summary_post_processing = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_prompt_from_context_details
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_prompt_from_context_details(self, context_details: dict, custom_entries = '', suppress = []) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_prompt
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_prompt(self, prompt_parts: List[str], sacrifice_id: int = -1, context_size: int = None, minimum_spare_context_size: int = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### add_collapsible_entry
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def add_collapsible_entry(self, title, content, subtitle = '') -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### internet_search_with_vectorization
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def internet_search_with_vectorization(self, query, quick_search: bool = False) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### vectorize_and_query
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def vectorize_and_query(self, title, url, text, query, max_chunk_size = 512, overlap_size = 20, internet_vectorization_nb_chunks = 3) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step_start
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step_start(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step_end
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step_end(self, step_text, status = True, callback: Callable[([str, int, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step(self, step_text, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### exception
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def exception(self, ex, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### warning
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def warning(self, warning: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### json
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def json(self, title: str, json_infos: dict, callback: Callable[([str, int, dict, list], bool)] = None, indent = 4) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ui
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ui(self, html_ui: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ui_in_iframe
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ui_in_iframe(self, html_ui: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### code
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def code(self, code: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### chunk
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-15 22:27:00 +00:00
|
|
|
def add_chunk_to_message_content(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### full
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def set_message_content(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None, msg_type: MSG_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### full_invisible_to_ai
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def set_message_content_invisible_to_ai(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### full_invisible_to_user
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def set_message_content_invisible_to_user(self, full_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### execute_python
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def execute_python(self, code, code_folder = None, code_file_name = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_python_code
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_python_code(self, prompt, max_title_length = 4096) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### make_title
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def make_title(self, prompt, max_title_length: int = 50) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### plan_with_images
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def plan_with_images(self, request: str, images: list, actions_list: list = [LoLLMsAction], context: str = '', max_answer_length: int = 512) -> List[LoLLMsAction]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### plan
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def plan(self, request: str, actions_list: list = [LoLLMsAction], context: str = '', max_answer_length: int = 512) -> List[LoLLMsAction]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### parse_directory_structure
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def parse_directory_structure(self, structure) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### extract_code_blocks
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def extract_code_blocks(self, text: str) -> List[dict]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_and_execute_python_code
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_and_execute_python_code(self, context, instructions, execution_function_signature, extra_imports = '') -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### yes_no
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def yes_no(self, question: str, context: str = '', max_answer_length: int = 50, conditionning = '') -> bool
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### multichoice_question
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def multichoice_question(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### multichoice_ranking
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def multichoice_ranking(self, question: str, possible_answers: list, context: str = '', max_answer_length: int = 50, conditionning = '') -> int
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_html5_integration
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_html5_integration(self, html, ifram_name = 'unnamed') -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### InfoMessage
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def InfoMessage(self, content, client_id = None, verbose: bool = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### info
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def info(self, info_text: str, callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### step_progress
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def step_progress(self, step_text: str, progress: float, callback: Callable[([str, MSG_TYPE, dict, list, AIPersonality], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### new_message
|
|
|
|
|
|
|
|
|
|
```python
|
2024-08-14 20:15:45 +00:00
|
|
|
def new_message(self, message_text: str, message_type: MSG_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT, metadata = [], callback: Callable[([str, int, dict, list, AIPersonality], bool)] = None) -> Any
|
2024-07-23 00:38:58 +00:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### finished_message
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def finished_message(self, message_text: str = '', callback: Callable[([str, MSG_TYPE, dict, list], bool)] = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### print_prompt
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def print_prompt(self, title, prompt) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### fast_gen_with_images
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def fast_gen_with_images(self, prompt: str, images: list, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### fast_gen
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def fast_gen(self, prompt: str, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### mix_it_up
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def mix_it_up(self, prompt: str, models, master_model, nb_rounds = 2, max_generation_size: int = None, placeholders: dict = {}, sacrifice: list = ['previous_discussion'], debug: bool = False, callback = None, show_progress = False) -> dict
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate_with_function_calls
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate_with_function_calls(self, context_details: dict, functions: List[Dict[(str, Any)]], max_answer_length: Optional[int] = None, callback = None) -> List[Dict[(str, Any)]]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### generate_with_function_calls_and_images
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def generate_with_function_calls_and_images(self, context_details: dict, images: list, functions: List[Dict[(str, Any)]], max_answer_length: Optional[int] = None, callback = None) -> List[Dict[(str, Any)]]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### execute_function
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def execute_function(self, code, function_definitions = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### execute_function_calls
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def execute_function_calls(self, function_calls: List[Dict[(str, Any)]], function_definitions: List[Dict[(str, Any)]]) -> List[Any]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### transform_functions_to_text
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def transform_functions_to_text(self, functions) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### transform_functions
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def transform_functions(self, functions) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### _upgrade_prompt_with_function_info
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def _upgrade_prompt_with_function_info(self, context_details: dict, functions: List[Dict[(str, Any)]]) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### extract_function_calls_as_json
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def extract_function_calls_as_json(self, text: str) -> List[Dict[(str, Any)]]
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### interact
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def interact(self, context_details, callback = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### interact_with_function_call
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def interact_with_function_call(self, context_details, function_definitions, prompt_after_execution = True, callback = None, hide_function_call = False, separate_output = False, max_nested_function_calls = 10) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### path2url
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def path2url(file) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_a_document_block
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_a_document_block(self, title = 'Title', link = '', content = 'content') -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_a_folder_link
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_a_folder_link(self, folder_path, link_text = 'Open Folder') -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_a_file_link
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_a_file_link(self, file_path, link_text = 'Open Folder') -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### compress_js
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def compress_js(self, code) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### compress_python
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def compress_python(self, code) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### compress_html
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def compress_html(self, code) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### select_model
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def select_model(self, binding_name, model_name) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### verify_rag_entry
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def verify_rag_entry(self, query, rag_entry) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### start_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def start_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### system_message_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def system_message_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### separator_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def separator_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### start_user_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def start_user_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_user_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_user_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_user_message_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_user_message_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### start_ai_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def start_ai_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_ai_header_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_ai_header_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### end_ai_message_id_template
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def end_ai_message_id_template(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### system_full_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def system_full_header(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### user_full_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def user_full_header(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ai_full_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ai_full_header(self) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### system_custom_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def system_custom_header(self, ai_name) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### ai_custom_header
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def ai_custom_header(self, ai_name) -> str
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, personality: AIPersonality) -> None
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### __init__
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def __init__(self, lollms_paths: LollmsPaths, config: LOLLMSConfig, model: LLMBinding, app = None, installation_option: InstallOption = InstallOption.INSTALL_IF_NECESSARY, callback = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### build_personality
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def build_personality(self, id: int = None) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### get_personality
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def get_personality(self) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### extract_function_call
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def extract_function_call(self, query) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### replace
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
def replace(match) -> Any
|
|
|
|
|
```
|
|
|
|
|
|
