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@ -8,7 +8,7 @@ from langchain.memory.chat_memory import BaseChatMemory
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from langchain.schema import BaseMessage
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from langchain.schema import BaseMessage
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from core.model_providers.models.entity.model_params import ModelMode
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from core.model_providers.models.entity.model_params import ModelMode
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from core.model_providers.models.entity.message import PromptMessage, MessageType, to_prompt_messages
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from core.model_providers.models.entity.message import PromptMessage, MessageType, to_prompt_messages, PromptMessageFile
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from core.model_providers.models.llm.base import BaseLLM
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from core.model_providers.models.llm.base import BaseLLM
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from core.model_providers.models.llm.baichuan_model import BaichuanModel
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from core.model_providers.models.llm.baichuan_model import BaichuanModel
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from core.model_providers.models.llm.huggingface_hub_model import HuggingfaceHubModel
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from core.model_providers.models.llm.huggingface_hub_model import HuggingfaceHubModel
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@ -16,28 +16,55 @@ from core.model_providers.models.llm.openllm_model import OpenLLMModel
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from core.model_providers.models.llm.xinference_model import XinferenceModel
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from core.model_providers.models.llm.xinference_model import XinferenceModel
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from core.prompt.prompt_builder import PromptBuilder
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from core.prompt.prompt_builder import PromptBuilder
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from core.prompt.prompt_template import PromptTemplateParser
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from core.prompt.prompt_template import PromptTemplateParser
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from models.model import AppModelConfig
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class AppMode(enum.Enum):
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class AppMode(enum.Enum):
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COMPLETION = 'completion'
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COMPLETION = 'completion'
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CHAT = 'chat'
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CHAT = 'chat'
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class PromptTransform:
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class PromptTransform:
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def get_prompt(self, mode: str,
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def get_prompt(self,
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pre_prompt: str, inputs: dict,
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app_mode: str,
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app_model_config: AppModelConfig,
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pre_prompt: str,
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inputs: dict,
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query: str,
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query: str,
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files: List[PromptMessageFile],
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context: Optional[str],
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context: Optional[str],
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memory: Optional[BaseChatMemory],
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memory: Optional[BaseChatMemory],
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model_instance: BaseLLM) -> \
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model_instance: BaseLLM) -> \
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Tuple[List[PromptMessage], Optional[List[str]]]:
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Tuple[List[PromptMessage], Optional[List[str]]]:
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prompt_rules = self._read_prompt_rules_from_file(self._prompt_file_name(mode, model_instance))
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model_mode = app_model_config.model_dict['mode']
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prompt, stops = self._get_prompt_and_stop(prompt_rules, pre_prompt, inputs, query, context, memory, model_instance)
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return [PromptMessage(content=prompt)], stops
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app_mode_enum = AppMode(app_mode)
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model_mode_enum = ModelMode(model_mode)
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prompt_rules = self._read_prompt_rules_from_file(self._prompt_file_name(app_mode, model_instance))
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if app_mode_enum == AppMode.CHAT and model_mode_enum == ModelMode.CHAT:
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stops = None
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prompt_messages = self._get_simple_chat_app_chat_model_prompt_messages(prompt_rules, pre_prompt, inputs,
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query, context, memory,
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model_instance, files)
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else:
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stops = prompt_rules.get('stops')
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if stops is not None and len(stops) == 0:
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stops = None
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prompt_messages = self._get_simple_others_prompt_messages(prompt_rules, pre_prompt, inputs, query, context,
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memory,
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model_instance, files)
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return prompt_messages, stops
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def get_advanced_prompt(self,
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def get_advanced_prompt(self,
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app_mode: str,
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app_mode: str,
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app_model_config: str,
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app_model_config: AppModelConfig,
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inputs: dict,
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inputs: dict,
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query: str,
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query: str,
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files: List[PromptMessageFile],
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context: Optional[str],
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context: Optional[str],
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memory: Optional[BaseChatMemory],
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memory: Optional[BaseChatMemory],
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model_instance: BaseLLM) -> List[PromptMessage]:
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model_instance: BaseLLM) -> List[PromptMessage]:
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@ -51,14 +78,19 @@ class PromptTransform:
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if app_mode_enum == AppMode.CHAT:
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if app_mode_enum == AppMode.CHAT:
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if model_mode_enum == ModelMode.COMPLETION:
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if model_mode_enum == ModelMode.COMPLETION:
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prompt_messages = self._get_chat_app_completion_model_prompt_messages(app_model_config, inputs, query, context, memory, model_instance)
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prompt_messages = self._get_chat_app_completion_model_prompt_messages(app_model_config, inputs, query,
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files, context, memory,
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model_instance)
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elif model_mode_enum == ModelMode.CHAT:
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elif model_mode_enum == ModelMode.CHAT:
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prompt_messages = self._get_chat_app_chat_model_prompt_messages(app_model_config, inputs, query, context, memory, model_instance)
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prompt_messages = self._get_chat_app_chat_model_prompt_messages(app_model_config, inputs, query, files,
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context, memory, model_instance)
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elif app_mode_enum == AppMode.COMPLETION:
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elif app_mode_enum == AppMode.COMPLETION:
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if model_mode_enum == ModelMode.CHAT:
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if model_mode_enum == ModelMode.CHAT:
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prompt_messages = self._get_completion_app_chat_model_prompt_messages(app_model_config, inputs, context)
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prompt_messages = self._get_completion_app_chat_model_prompt_messages(app_model_config, inputs,
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files, context)
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elif model_mode_enum == ModelMode.COMPLETION:
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elif model_mode_enum == ModelMode.COMPLETION:
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prompt_messages = self._get_completion_app_completion_model_prompt_messages(app_model_config, inputs, context)
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prompt_messages = self._get_completion_app_completion_model_prompt_messages(app_model_config, inputs,
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files, context)
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return prompt_messages
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return prompt_messages
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@ -112,11 +144,52 @@ class PromptTransform:
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with open(json_file_path, 'r') as json_file:
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with open(json_file_path, 'r') as json_file:
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return json.load(json_file)
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return json.load(json_file)
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def _get_prompt_and_stop(self, prompt_rules: dict, pre_prompt: str, inputs: dict,
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def _get_simple_chat_app_chat_model_prompt_messages(self, prompt_rules: dict, pre_prompt: str, inputs: dict,
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query: str,
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query: str,
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context: Optional[str],
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context: Optional[str],
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memory: Optional[BaseChatMemory],
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memory: Optional[BaseChatMemory],
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model_instance: BaseLLM) -> Tuple[str, Optional[list]]:
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model_instance: BaseLLM,
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files: List[PromptMessageFile]) -> List[PromptMessage]:
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prompt_messages = []
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context_prompt_content = ''
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if context and 'context_prompt' in prompt_rules:
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prompt_template = PromptTemplateParser(template=prompt_rules['context_prompt'])
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context_prompt_content = prompt_template.format(
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{'context': context}
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)
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pre_prompt_content = ''
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if pre_prompt:
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prompt_template = PromptTemplateParser(template=pre_prompt)
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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pre_prompt_content = prompt_template.format(
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prompt_inputs
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)
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prompt = ''
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for order in prompt_rules['system_prompt_orders']:
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if order == 'context_prompt':
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prompt += context_prompt_content
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elif order == 'pre_prompt':
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prompt += pre_prompt_content
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prompt = re.sub(r'<\|.*?\|>', '', prompt)
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prompt_messages.append(PromptMessage(type=MessageType.SYSTEM, content=prompt))
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self._append_chat_histories(memory, prompt_messages, model_instance)
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prompt_messages.append(PromptMessage(type=MessageType.USER, content=query, files=files))
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return prompt_messages
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def _get_simple_others_prompt_messages(self, prompt_rules: dict, pre_prompt: str, inputs: dict,
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query: str,
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context: Optional[str],
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memory: Optional[BaseChatMemory],
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model_instance: BaseLLM,
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files: List[PromptMessageFile]) -> List[PromptMessage]:
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context_prompt_content = ''
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context_prompt_content = ''
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if context and 'context_prompt' in prompt_rules:
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if context and 'context_prompt' in prompt_rules:
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prompt_template = PromptTemplateParser(template=prompt_rules['context_prompt'])
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prompt_template = PromptTemplateParser(template=prompt_rules['context_prompt'])
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@ -175,11 +248,7 @@ class PromptTransform:
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prompt = re.sub(r'<\|.*?\|>', '', prompt)
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prompt = re.sub(r'<\|.*?\|>', '', prompt)
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stops = prompt_rules.get('stops')
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return [PromptMessage(content=prompt, files=files)]
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if stops is not None and len(stops) == 0:
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stops = None
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return prompt, stops
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def _set_context_variable(self, context: str, prompt_template: PromptTemplateParser, prompt_inputs: dict) -> None:
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def _set_context_variable(self, context: str, prompt_template: PromptTemplateParser, prompt_inputs: dict) -> None:
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if '#context#' in prompt_template.variable_keys:
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if '#context#' in prompt_template.variable_keys:
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@ -196,12 +265,13 @@ class PromptTransform:
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prompt_inputs['#query#'] = ''
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prompt_inputs['#query#'] = ''
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def _set_histories_variable(self, memory: BaseChatMemory, raw_prompt: str, conversation_histories_role: dict,
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def _set_histories_variable(self, memory: BaseChatMemory, raw_prompt: str, conversation_histories_role: dict,
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prompt_template: PromptTemplateParser, prompt_inputs: dict, model_instance: BaseLLM) -> None:
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prompt_template: PromptTemplateParser, prompt_inputs: dict,
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model_instance: BaseLLM) -> None:
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if '#histories#' in prompt_template.variable_keys:
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if '#histories#' in prompt_template.variable_keys:
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if memory:
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if memory:
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tmp_human_message = PromptBuilder.to_human_message(
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tmp_human_message = PromptBuilder.to_human_message(
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prompt_content=raw_prompt,
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prompt_content=raw_prompt,
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inputs={ '#histories#': '', **prompt_inputs }
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inputs={'#histories#': '', **prompt_inputs}
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)
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)
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rest_tokens = self._calculate_rest_token(tmp_human_message, model_instance)
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rest_tokens = self._calculate_rest_token(tmp_human_message, model_instance)
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@ -213,7 +283,8 @@ class PromptTransform:
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else:
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else:
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prompt_inputs['#histories#'] = ''
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prompt_inputs['#histories#'] = ''
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def _append_chat_histories(self, memory: BaseChatMemory, prompt_messages: list[PromptMessage], model_instance: BaseLLM) -> None:
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def _append_chat_histories(self, memory: BaseChatMemory, prompt_messages: list[PromptMessage],
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model_instance: BaseLLM) -> None:
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if memory:
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if memory:
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rest_tokens = self._calculate_rest_token(prompt_messages, model_instance)
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rest_tokens = self._calculate_rest_token(prompt_messages, model_instance)
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@ -242,9 +313,10 @@ class PromptTransform:
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return prompt
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return prompt
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def _get_chat_app_completion_model_prompt_messages(self,
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def _get_chat_app_completion_model_prompt_messages(self,
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app_model_config: str,
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app_model_config: AppModelConfig,
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inputs: dict,
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inputs: dict,
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query: str,
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query: str,
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files: List[PromptMessageFile],
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context: Optional[str],
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context: Optional[str],
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memory: Optional[BaseChatMemory],
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memory: Optional[BaseChatMemory],
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model_instance: BaseLLM) -> List[PromptMessage]:
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model_instance: BaseLLM) -> List[PromptMessage]:
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@ -253,7 +325,6 @@ class PromptTransform:
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conversation_histories_role = app_model_config.completion_prompt_config_dict['conversation_histories_role']
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conversation_histories_role = app_model_config.completion_prompt_config_dict['conversation_histories_role']
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prompt_messages = []
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prompt_messages = []
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prompt = ''
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prompt_template = PromptTemplateParser(template=raw_prompt)
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prompt_template = PromptTemplateParser(template=raw_prompt)
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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@ -262,18 +333,20 @@ class PromptTransform:
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self._set_query_variable(query, prompt_template, prompt_inputs)
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self._set_query_variable(query, prompt_template, prompt_inputs)
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self._set_histories_variable(memory, raw_prompt, conversation_histories_role, prompt_template, prompt_inputs, model_instance)
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self._set_histories_variable(memory, raw_prompt, conversation_histories_role, prompt_template, prompt_inputs,
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model_instance)
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prompt = self._format_prompt(prompt_template, prompt_inputs)
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prompt = self._format_prompt(prompt_template, prompt_inputs)
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prompt_messages.append(PromptMessage(type = MessageType(MessageType.USER) ,content=prompt))
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prompt_messages.append(PromptMessage(type=MessageType.USER, content=prompt, files=files))
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return prompt_messages
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return prompt_messages
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def _get_chat_app_chat_model_prompt_messages(self,
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def _get_chat_app_chat_model_prompt_messages(self,
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app_model_config: str,
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app_model_config: AppModelConfig,
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inputs: dict,
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inputs: dict,
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query: str,
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query: str,
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files: List[PromptMessageFile],
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context: Optional[str],
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context: Optional[str],
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memory: Optional[BaseChatMemory],
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memory: Optional[BaseChatMemory],
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model_instance: BaseLLM) -> List[PromptMessage]:
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model_instance: BaseLLM) -> List[PromptMessage]:
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@ -283,7 +356,6 @@ class PromptTransform:
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for prompt_item in raw_prompt_list:
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for prompt_item in raw_prompt_list:
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raw_prompt = prompt_item['text']
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raw_prompt = prompt_item['text']
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prompt = ''
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prompt_template = PromptTemplateParser(template=raw_prompt)
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prompt_template = PromptTemplateParser(template=raw_prompt)
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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@ -292,22 +364,22 @@ class PromptTransform:
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prompt = self._format_prompt(prompt_template, prompt_inputs)
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prompt = self._format_prompt(prompt_template, prompt_inputs)
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prompt_messages.append(PromptMessage(type = MessageType(prompt_item['role']) ,content=prompt))
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prompt_messages.append(PromptMessage(type=MessageType(prompt_item['role']), content=prompt))
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self._append_chat_histories(memory, prompt_messages, model_instance)
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self._append_chat_histories(memory, prompt_messages, model_instance)
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prompt_messages.append(PromptMessage(type = MessageType.USER ,content=query))
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prompt_messages.append(PromptMessage(type=MessageType.USER, content=query, files=files))
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return prompt_messages
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return prompt_messages
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def _get_completion_app_completion_model_prompt_messages(self,
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def _get_completion_app_completion_model_prompt_messages(self,
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app_model_config: str,
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app_model_config: AppModelConfig,
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inputs: dict,
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inputs: dict,
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files: List[PromptMessageFile],
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context: Optional[str]) -> List[PromptMessage]:
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context: Optional[str]) -> List[PromptMessage]:
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raw_prompt = app_model_config.completion_prompt_config_dict['prompt']['text']
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raw_prompt = app_model_config.completion_prompt_config_dict['prompt']['text']
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prompt_messages = []
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prompt_messages = []
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prompt = ''
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prompt_template = PromptTemplateParser(template=raw_prompt)
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prompt_template = PromptTemplateParser(template=raw_prompt)
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
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@ -316,13 +388,14 @@ class PromptTransform:
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prompt = self._format_prompt(prompt_template, prompt_inputs)
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prompt = self._format_prompt(prompt_template, prompt_inputs)
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prompt_messages.append(PromptMessage(type = MessageType(MessageType.USER) ,content=prompt))
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prompt_messages.append(PromptMessage(type=MessageType(MessageType.USER), content=prompt, files=files))
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return prompt_messages
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return prompt_messages
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def _get_completion_app_chat_model_prompt_messages(self,
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|
def _get_completion_app_chat_model_prompt_messages(self,
|
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|
|
app_model_config: str,
|
|
|
|
app_model_config: AppModelConfig,
|
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|
inputs: dict,
|
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|
inputs: dict,
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|
|
|
|
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|
files: List[PromptMessageFile],
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|
context: Optional[str]) -> List[PromptMessage]:
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|
context: Optional[str]) -> List[PromptMessage]:
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|
raw_prompt_list = app_model_config.chat_prompt_config_dict['prompt']
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raw_prompt_list = app_model_config.chat_prompt_config_dict['prompt']
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@ -330,7 +403,6 @@ class PromptTransform:
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|
for prompt_item in raw_prompt_list:
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|
for prompt_item in raw_prompt_list:
|
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|
raw_prompt = prompt_item['text']
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|
raw_prompt = prompt_item['text']
|
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|
prompt = ''
|
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|
prompt_template = PromptTemplateParser(template=raw_prompt)
|
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|
prompt_template = PromptTemplateParser(template=raw_prompt)
|
|
|
|
prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
|
|
|
|
prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
|
|
|
|
@ -339,6 +411,11 @@ class PromptTransform:
|
|
|
|
|
|
|
|
|
|
|
|
prompt = self._format_prompt(prompt_template, prompt_inputs)
|
|
|
|
prompt = self._format_prompt(prompt_template, prompt_inputs)
|
|
|
|
|
|
|
|
|
|
|
|
prompt_messages.append(PromptMessage(type = MessageType(prompt_item['role']) ,content=prompt))
|
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|
prompt_messages.append(PromptMessage(type=MessageType(prompt_item['role']), content=prompt))
|
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|
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|
|
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|
for prompt_message in prompt_messages[::-1]:
|
|
|
|
|
|
|
|
if prompt_message.type == MessageType.USER:
|
|
|
|
|
|
|
|
prompt_message.files = files
|
|
|
|
|
|
|
|
break
|
|
|
|
|
|
|
|
|
|
|
|
return prompt_messages
|
|
|
|
return prompt_messages
|