/
githubmirror
/
AgentPilot
Обзор
Документация
Войти
/
githubmirror
/
AgentPilot
Код
Запросы
0
Пакеты
0
Релизы
0
Аналитика
Безопасность
v0.5.0
src/members/base.py
585 строк
25 KB
jb
0.5.0
21 фев 2025, 03:43
21 фев 2025, 03:43
5b1cfa9
Код
Авторство
О чём код?
import json from abc import abstractmethod from fnmatch import fnmatch from typing import Any, Dict, List, Optional # from src.plugins.realtimeai.modules.client import RealtimeAIClientWrapper from src.utils import sql from src.utils.helpers import convert_model_json_to_obj, convert_to_safe_case class Member: def __init__(self, **kwargs): self.main = kwargs.get('main') self.workflow = kwargs.get('workflow', None) self.config: Dict[str, Any] = kwargs.get('config', {}) self.member_id: str = kwargs.get('member_id', '1') self.loc_x: int = kwargs.get('loc_x', 0) self.loc_y: int = kwargs.get('loc_y', 0) self.inputs: List[Dict[str, Any]] = kwargs.get('inputs', []) self.last_output: Optional[str] = None self.turn_output: Optional[str] = None self.default_role_key: str = 'group.output_role' self.receivable_function = None def load(self): pass # def available_blocks(self): # from src.system.base import manager # all_blocks = manager.blocks.to_dict() # # if self.workflow: # members = self.workflow.members # member_names = {m_id: member.config.get('info.name', 'Assistant') for m_id, member in members.items()} # member_placeholders = { # m_id: member.config.get('group.output_placeholder', f'{member_names[m_id]}_{str(m_id)}') # for m_id, member in members.items()} # member_last_outputs = {member.member_id: member.last_output for k, member in self.workflow.members.items() # if member.last_output != ''} # member_blocks = {member_placeholders[k]: v for k, v in member_last_outputs.items() if v is not None} # # all_blocks.update(member_blocks) # all_blocks.update(self.workflow.params) # these can overwrite base blocks # # return all_blocks def full_member_id(self): # bubble up to the top level workflow collecting member ids, return as a string joined with "." and reversed # where self._parent_workflow is None, that's the top level workflow id_list = [self.member_id] parent = self.workflow #_parent_workflow while parent: if getattr(parent, '_parent_workflow', None) is None: break id_list.append(parent.member_id) parent = parent.workflow return '.'.join(map(str, reversed(id_list))) @abstractmethod async def run_member(self): """The entry response method for the member.""" temp_has_looper_inputs = False if hasattr(self, 'inputs') and self.workflow: inputs = self.workflow.config.get('inputs', []) any_looper = any(inp.get('config', {}).get('looper', False) for inp in inputs) if any_looper: raise NotImplementedError('Loops are not implemented yet. Coming soon.') if self.receivable_function: async for key, chunk in self.receivable_function(): if self.workflow and self.workflow.stop_requested: self.workflow.stop_requested = False break yield key, chunk if self.main and getattr(self.workflow, 'chat_page', None): # !!! # self.main.new_sentence_signal.emit(key, self.full_member_id(), chunk) else: yield 'SYS', 'SKIP' class LlmMember(Member): def __init__(self, **kwargs): super().__init__(**kwargs) self.model_config_key: str = kwargs.get('model_config_key', '') self.tools_config_key: str = 'tools.data' self.tools_table = {} # self.load() self.realtime_client = None self.receivable_function = self.receive # class MemberRealtimeClient: # """ # A class to handle the realtime client for the member. # Initializes the realtime client instance. # """ # def __init__(self, member, model_obj): # self.member = member # self.model = model_obj # self.audio_handler = AudioHandler() # self.output_audio_queue = asyncio.Queue() # self.client = RealtimeClient( # # on_text_delta=lambda text: print(f"\nAssistant: {text}", end="", flush=True), # on_audio_delta=lambda audio: self.on_audio_delta(audio), # self.audio_handler.play_audio(audio), # # on_input_transcript=lambda transcript: self.on_input_transcript(transcript), # # on_output_transcript=lambda transcript: print(f"{transcript}", end="", flush=True), # on_interrupt=lambda: self.audio_handler.stop_playback_immediately(), # turn_detection_mode=TurnDetectionMode.SERVER_VAD, # # tools=tools, # ) # # def load(self): # from src.system.base import manager # model_params = manager.providers.get_model_parameters(self.model) # api_key = model_params.get('api_key', None) # voice = None # temperature = None # turn_detection_mode = None # instructions = None # self.client.api_key = api_key # # # def on_text_delta(self, text): # # print(f"\nAssistant: {text}", end="", flush=True) # # # def on_input_transcript(self, transcript): # # print(f"\nYou said: {transcript}\nAssistant: ", end="", flush=True) # # # def on_output_transcript(self, transcript): # # print(f"{transcript}", end="", flush=True) # # def on_audio_delta(self, audio): # self.output_audio_queue.put_nowait(audio) # self.audio_handler.play_audio(audio) # # async def stream_realtime(self, model, messages): # try: # await self.client.connect() # asyncio.create_task(self.client.handle_messages()) # # # Create a queue to store incoming text deltas # output_transcript_queue = asyncio.Queue() # self.output_audio_queue = asyncio.Queue() # clear queue # # self.client.on_output_transcript = lambda text: output_transcript_queue.put_nowait(text) # # self.client.on_audio_delta = lambda audio: output_audio_queue.put_nowait(audio) # # Send the message to the realtime client # await self.client.send_text('who are you') # # responding = True # while responding or not output_transcript_queue.empty(): # try: # # Wait for text deltas with a timeout # text = await asyncio.wait_for(output_transcript_queue.get(), timeout=1.0) # yield self.member.default_role(), text # except asyncio.TimeoutError: # responding = False # # all_audio_bytes = [] # while not self.output_audio_queue.empty(): # audio_bytes = await self.output_audio_queue.get() # all_audio_bytes.append(audio_bytes) # # # Combine all audio bytes # all_audio = b''.join(all_audio_bytes) # # # Write audio to WAV file # with wave.open('/home/jb/Documents/output.wav', 'wb') as wav_file: # # Set parameters (adjust these based on your audio format) # n_channels = 1 # sample_width = 2 # Assuming 16-bit audio # frame_rate = 24000 # Adjust this to match your audio's sample rate # n_frames = len(all_audio) // (n_channels * sample_width) # comp_type = 'NONE' # comp_name = 'not compressed' # # wav_file.setparams((n_channels, sample_width, frame_rate, n_frames, comp_type, comp_name)) # wav_file.writeframes(all_audio) # # base64_audio = base64.b64encode(all_audio).decode('utf-8') # # # write audio to file # # with open('/home/jb/Documents/output.wav', 'wb') as f: # # for audio in all_audio_bytes: # # f.write(audio) # # f.flush() # # all_audio = b''.join(all_audio_bytes) # # str_all_audio = all_audio.decode('utf-8') # yield 'audio', base64_audio # # except Exception as e: # raise e # # # class MemberRealtimeClient: # # """ # # A class to handle the realtime client for the member. # # Initializes the realtime client instance. # # """ # # def __init__(self, member, model_obj): # # self.member = member # # self.model = model_obj # # self.audio_handler = AudioHandler() # # self.output_audio_queue = asyncio.Queue() # # self.client = RealtimeClient( # # # on_text_delta=lambda text: print(f"\nAssistant: {text}", end="", flush=True), # # on_audio_delta=lambda audio: self.on_audio_delta(audio), # self.audio_handler.play_audio(audio), # # # on_input_transcript=lambda transcript: self.on_input_transcript(transcript), # # # on_output_transcript=lambda transcript: print(f"{transcript}", end="", flush=True), # # on_interrupt=lambda: self.audio_handler.stop_playback_immediately(), # # turn_detection_mode=TurnDetectionMode.SERVER_VAD, # # # tools=tools, # # ) # # # # def load(self): # # from src.system.base import manager # # model_params = manager.providers.get_model_parameters(self.model) # # api_key = model_params.get('api_key', None) # # voice = None # # temperature = None # # turn_detection_mode = None # # instructions = None # # self.client.api_key = api_key # # # # # def on_text_delta(self, text): # # # print(f"\nAssistant: {text}", end="", flush=True) # # # # # def on_input_transcript(self, transcript): # # # print(f"\nYou said: {transcript}\nAssistant: ", end="", flush=True) # # # # # def on_output_transcript(self, transcript): # # # print(f"{transcript}", end="", flush=True) # # # # def on_audio_delta(self, audio): # # self.output_audio_queue.put_nowait(audio) # # self.audio_handler.play_audio(audio) # # # # async def stream_realtime(self, model, messages): # # try: # # await self.client.connect() # # asyncio.create_task(self.client.handle_messages()) # # # # # Create a queue to store incoming text deltas # # output_transcript_queue = asyncio.Queue() # # self.output_audio_queue = asyncio.Queue() # clear queue # # # # self.client.on_output_transcript = lambda text: output_transcript_queue.put_nowait(text) # # # self.client.on_audio_delta = lambda audio: output_audio_queue.put_nowait(audio) # # # Send the message to the realtime client # # await self.client.send_text('who are you') # # # # responding = True # # while responding or not output_transcript_queue.empty(): # # try: # # # Wait for text deltas with a timeout # # text = await asyncio.wait_for(output_transcript_queue.get(), timeout=1.0) # # yield self.member.default_role(), text # # except asyncio.TimeoutError: # # responding = False # # # # all_audio_bytes = [] # # while not self.output_audio_queue.empty(): # # audio_bytes = await self.output_audio_queue.get() # # all_audio_bytes.append(audio_bytes) # # # # # Combine all audio bytes # # all_audio = b''.join(all_audio_bytes) # # # # # Write audio to WAV file # # with wave.open('/home/jb/Documents/output.wav', 'wb') as wav_file: # # # Set parameters (adjust these based on your audio format) # # n_channels = 1 # # sample_width = 2 # Assuming 16-bit audio # # frame_rate = 24000 # Adjust this to match your audio's sample rate # # n_frames = len(all_audio) // (n_channels * sample_width) # # comp_type = 'NONE' # # comp_name = 'not compressed' # # # # wav_file.setparams((n_channels, sample_width, frame_rate, n_frames, comp_type, comp_name)) # # wav_file.writeframes(all_audio) # # # # base64_audio = base64.b64encode(all_audio).decode('utf-8') # # # # write audio to file # # # with open('/home/jb/Documents/output.wav', 'wb') as f: # # # for audio in all_audio_bytes: # # # f.write(audio) # # # f.flush() # # # all_audio = b''.join(all_audio_bytes) # # # str_all_audio = all_audio.decode('utf-8') # # yield 'audio', base64_audio # # # # except Exception as e: # # raise e def load(self): self.load_tools() from src.system.base import manager # todo model_json = self.config.get(self.model_config_key, manager.config.dict.get('system.default_chat_model', 'mistral/mistral-large-latest')) model_obj = convert_model_json_to_obj(model_json) if model_obj['model_name'].startswith('gpt-4o-realtime'): pass # todo # # Initialize the realtime client # if not self.realtime_client: # self.realtime_client = RealtimeAIClientWrapper(self) # self.realtime_client.load(model_obj) def load_tools(self): agent_tools_ids = json.loads(self.config.get(self.tools_config_key, '[]')) # agent_tools_ids = [tool['id'] for tool in tools_in_config] if len(agent_tools_ids) == 0: return [] self.tools_table = sql.get_results(f""" SELECT uuid, name, config FROM tools WHERE uuid IN ({','.join(['?'] * len(agent_tools_ids))}) """, agent_tools_ids) @abstractmethod def system_message(self, msgs_in_system=None, response_instruction='', msgs_in_system_len=0): return '' def default_role(self): # todo clean return self.config.get(self.default_role_key, 'assistant') @abstractmethod def get_messages(self): #todo return self.workflow.message_history.get_llm_messages(calling_member_id=self.full_member_id()) async def receive(self): from src.system.base import manager # todo model_json = self.config.get(self.model_config_key, manager.config.dict.get('system.default_chat_model', 'mistral/mistral-large-latest')) model_obj = convert_model_json_to_obj(model_json) structured_data = model_obj.get('model_params', {}).get('structure.data', []) messages = self.get_messages() system_msg = self.system_message() if model_obj['model_name'].startswith('gpt-4o-realtime'): # temp todo # raise NotImplementedError('Realtime models are not implemented yet.') stream = self.realtime_client.stream_realtime(model=model_obj, messages=messages, system_msg=system_msg) else: if system_msg != '': messages.insert(0, {'role': 'system', 'content': system_msg}) if len(structured_data) > 0: stream = self.stream_structured_output(model=model_obj, messages=messages) else: stream = self.stream(model=model_obj, messages=messages) role_responses = {} async for key, chunk in stream: if key not in role_responses: role_responses[key] = '' if key == 'tools': tool_list = chunk role_responses['tools'] = tool_list else: chunk = chunk or '' role_responses[key] += chunk yield key, chunk if 'api_key' in model_obj['model_params']: model_obj['model_params'].pop('api_key') logging_obj = { 'id': 0, 'context_id': self.workflow.context_id, 'member_id': self.full_member_id(), 'model': model_obj, 'messages': messages, 'role_responses': role_responses, } for key, response in role_responses.items(): if key == 'tools': all_tools = response for tool in all_tools: tool_args_json = tool['function']['arguments'] # tool_name = tool_name.replace('_', ' ').capitalize() tools = self.main.system.tools.to_dict() first_matching_name = next((k for k, v in tools.items() if convert_to_safe_case(k) == tool['function']['name']), None) # todo add duplicate check, or first_matching_id = sql.get_scalar("SELECT uuid FROM tools WHERE name = ?", (first_matching_name,)) msg_content = json.dumps({ #!toolcall!# 'tool_uuid': first_matching_id, 'tool_call_id': tool['id'], # str(uuid.uuid4()), # 'name': tool['function']['name'], 'args': tool_args_json, 'text': tool['function']['name'].replace('_', ' ').capitalize(), }) self.workflow.save_message('tool', msg_content, self.full_member_id(), logging_obj) else: if response != '': self.workflow.save_message(key, response, self.full_member_id(), logging_obj) async def stream(self, model, messages): from src.system.base import manager tools = self.get_function_call_tools() xml_tag_roles = model.get('model_params', {}).get('xml_roles.data', []) xml_tag_roles = {tag_dict['xml_tag'].lower(): tag_dict['map_to_role'] for tag_dict in xml_tag_roles} # default_role = self.config.get(self.default_role_key, 'assistant') processor = CharProcessor(tag_roles=xml_tag_roles, default_role=self.default_role()) stream = await manager.providers.run_model( model_obj=model, messages=messages, tools=tools ) collected_tools = [] async for resp in stream: delta = resp.choices[0].get('delta', {}) if not delta: continue content = delta.get('content', None) or '' tool_calls = delta.get('tool_calls', None) if tool_calls: tool_chunks = delta.tool_calls for t_chunk in tool_chunks: if len(collected_tools) <= t_chunk.index: collected_tools.append({"id": "", "type": "function", "function": {"name": "", "arguments": ""}}) tc = collected_tools[t_chunk.index] if t_chunk.id: tc["id"] += t_chunk.id if t_chunk.function.name: tc["function"]["name"] += t_chunk.function.name if t_chunk.function.arguments: tc["function"]["arguments"] += t_chunk.function.arguments if content != '': async for role, content in processor.process_chunk(content): yield role, content async for role, content in processor.process_chunk(None): yield role, content # todo to get last char if len(collected_tools) > 0: yield 'tools', collected_tools async def stream_structured_output(self, model, messages): from src.system.base import manager tools = self.get_function_call_tools() resp = await manager.providers.get_structured_output( model_obj=model, messages=messages, tools=tools ) yield 'STRUCT', str(resp) # return resp def get_function_call_tools(self): formatted_tools = [] for tool_id, tool_name, tool_config in self.tools_table: tool_config = json.loads(tool_config) parameters_data = tool_config.get('params', []) transformed_parameters = self.transform_parameters(parameters_data) formatted_tools.append( { 'type': 'function', 'function': { 'name': convert_to_safe_case(tool_name), 'description': tool_config.get('description', ''), 'parameters': transformed_parameters } } ) return formatted_tools def transform_parameters(self, parameters_data): """Transform the parameter data from the config to LLM format.""" transformed = { 'type': 'object', 'properties': {}, 'required': [] } # Iterate through each parameter and convert it for parameter in parameters_data: param_name = convert_to_safe_case(parameter['name']) param_desc = parameter['description'] param_type = parameter['type'].lower() param_required = parameter['req'] # param_default = parameter['default'] type_map = { 'string': 'string', 'int': 'integer', 'float': 'number', 'bool': 'boolean', } transformed['properties'][param_name] = { 'type': type_map.get(param_type, 'string'), 'description': param_desc, } if param_required: transformed['required'].append(param_name) return transformed class CharProcessor: # todo clean / rethink def __init__(self, tag_roles=None, default_role='assistant'): self.default_role = default_role self.tag_roles = tag_roles or {} self.tag_opened = False self.closing_tag_opened = False self.tag_name_buffer = '' self.closing_tag_name_buffer = '' self.text_buffer = '' self.active_tags = [] # = None self.active_tag = None self.active_tag_role = None self.tag_text_buffer = '' self.current_char = None def match_tag(self, tag): return next((role for pattern, role in self.tag_roles.items() if fnmatch(tag.lower(), pattern.lower().replace('%', '*'))), None) async def process_chunk(self, chunk): if chunk is None: async for item in self.process_char(None): # todo hack to get last char yield item return for char in chunk: self.text_buffer += char async for item in self.process_char(char): yield item async def process_char(self, next_char): char = self.current_char self.current_char = next_char if not char: return if not self.active_tag: if char == '<': self.tag_opened = True elif char == '>' and self.tag_opened: self.tag_opened = False matched_role = self.match_tag(self.tag_name_buffer.lower()) if matched_role: self.active_tag = self.tag_name_buffer self.active_tag_role = matched_role yield self.default_role, f'<{self.tag_name_buffer}>' self.tag_name_buffer = '' elif self.tag_opened: self.tag_name_buffer += char else: yield self.default_role, char elif self.active_tag: if next_char == '/' and char == '<': self.closing_tag_opened = True elif char == '>' and self.closing_tag_opened: self.closing_tag_opened = False self.closing_tag_name_buffer = self.closing_tag_name_buffer.strip('/') if self.closing_tag_name_buffer == self.active_tag: self.active_tag = None self.active_tag_role = None yield self.default_role, f'</{self.closing_tag_name_buffer}>' else: yield self.active_tag_role.lower(), f'</{self.closing_tag_name_buffer}>' self.closing_tag_name_buffer = '' elif self.closing_tag_opened: self.closing_tag_name_buffer += char else: yield self.active_tag_role.lower(), char if next_char is None: return