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Merge remote-tracking branch 'origin/main' into feat/queue-based-graph-engine
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-LAN-
@ -32,6 +32,65 @@ class TokenBufferMemory:
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self.conversation = conversation
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self.model_instance = model_instance
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def _build_prompt_message_with_files(
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self, message_files: list[MessageFile], text_content: str, message: Message, app_record, is_user_message: bool
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) -> PromptMessage:
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"""
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Build prompt message with files.
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:param message_files: list of MessageFile objects
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:param text_content: text content of the message
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:param message: Message object
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:param app_record: app record
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:param is_user_message: whether this is a user message
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:return: PromptMessage
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"""
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if self.conversation.mode in {AppMode.AGENT_CHAT, AppMode.COMPLETION, AppMode.CHAT}:
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file_extra_config = FileUploadConfigManager.convert(self.conversation.model_config)
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elif self.conversation.mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
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workflow_run = db.session.scalar(select(WorkflowRun).where(WorkflowRun.id == message.workflow_run_id))
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if not workflow_run:
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raise ValueError(f"Workflow run not found: {message.workflow_run_id}")
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workflow = db.session.scalar(select(Workflow).where(Workflow.id == workflow_run.workflow_id))
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if not workflow:
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raise ValueError(f"Workflow not found: {workflow_run.workflow_id}")
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file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
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else:
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raise AssertionError(f"Invalid app mode: {self.conversation.mode}")
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detail = ImagePromptMessageContent.DETAIL.HIGH
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if file_extra_config and app_record:
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# Build files directly without filtering by belongs_to
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file_objs = [
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file_factory.build_from_message_file(
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message_file=message_file, tenant_id=app_record.tenant_id, config=file_extra_config
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)
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for message_file in message_files
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]
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if file_extra_config.image_config and file_extra_config.image_config.detail:
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detail = file_extra_config.image_config.detail
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else:
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file_objs = []
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if not file_objs:
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if is_user_message:
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return UserPromptMessage(content=text_content)
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else:
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return AssistantPromptMessage(content=text_content)
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else:
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prompt_message_contents: list[PromptMessageContentUnionTypes] = []
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for file in file_objs:
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prompt_message = file_manager.to_prompt_message_content(
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file,
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image_detail_config=detail,
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)
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prompt_message_contents.append(prompt_message)
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prompt_message_contents.append(TextPromptMessageContent(data=text_content))
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if is_user_message:
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return UserPromptMessage(content=prompt_message_contents)
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else:
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return AssistantPromptMessage(content=prompt_message_contents)
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def get_history_prompt_messages(
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self, max_token_limit: int = 2000, message_limit: Optional[int] = None
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) -> Sequence[PromptMessage]:
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@ -40,82 +99,73 @@ class TokenBufferMemory:
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:param max_token_limit: max token limit
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:param message_limit: message limit
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"""
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with Session(db.engine) as session:
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app_record = self.conversation.app
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app_record = self.conversation.app
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# fetch limited messages, and return reversed
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stmt = (
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select(Message)
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.where(Message.conversation_id == self.conversation.id)
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.order_by(Message.created_at.desc())
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# fetch limited messages, and return reversed
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stmt = (
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select(Message).where(Message.conversation_id == self.conversation.id).order_by(Message.created_at.desc())
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)
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if message_limit and message_limit > 0:
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message_limit = min(message_limit, 500)
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else:
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message_limit = 500
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stmt = stmt.limit(message_limit)
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messages = db.session.scalars(stmt).all()
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# instead of all messages from the conversation, we only need to extract messages
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# that belong to the thread of last message
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thread_messages = extract_thread_messages(messages)
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# for newly created message, its answer is temporarily empty, we don't need to add it to memory
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if thread_messages and not thread_messages[0].answer and thread_messages[0].answer_tokens == 0:
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thread_messages.pop(0)
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messages = list(reversed(thread_messages))
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prompt_messages: list[PromptMessage] = []
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for message in messages:
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# Process user message with files
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user_files = (
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db.session.query(MessageFile)
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.where(
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MessageFile.message_id == message.id,
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(MessageFile.belongs_to == "user") | (MessageFile.belongs_to.is_(None)),
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)
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.all()
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)
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if message_limit and message_limit > 0:
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message_limit = min(message_limit, 500)
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if user_files:
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user_prompt_message = self._build_prompt_message_with_files(
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message_files=user_files,
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text_content=message.query,
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message=message,
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app_record=app_record,
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is_user_message=True,
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)
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prompt_messages.append(user_prompt_message)
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else:
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message_limit = 500
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prompt_messages.append(UserPromptMessage(content=message.query))
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stmt = stmt.limit(message_limit)
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messages = session.scalars(stmt).all()
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# instead of all messages from the conversation, we only need to extract messages
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# that belong to the thread of last message
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thread_messages = extract_thread_messages(messages)
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# for newly created message, its answer is temporarily empty, we don't need to add it to memory
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if thread_messages and not thread_messages[0].answer and thread_messages[0].answer_tokens == 0:
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thread_messages.pop(0)
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messages = list(reversed(thread_messages))
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prompt_messages: list[PromptMessage] = []
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for message in messages:
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files = session.query(MessageFile).where(MessageFile.message_id == message.id).all()
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if files:
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file_extra_config = None
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if self.conversation.mode in {AppMode.AGENT_CHAT, AppMode.COMPLETION, AppMode.CHAT}:
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file_extra_config = FileUploadConfigManager.convert(self.conversation.model_config)
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elif self.conversation.mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
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workflow_run = session.scalar(
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select(WorkflowRun).where(WorkflowRun.id == message.workflow_run_id)
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)
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if not workflow_run:
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raise ValueError(f"Workflow run not found: {message.workflow_run_id}")
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workflow = session.scalar(select(Workflow).where(Workflow.id == workflow_run.workflow_id))
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if not workflow:
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raise ValueError(f"Workflow not found: {workflow_run.workflow_id}")
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file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
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else:
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raise AssertionError(f"Invalid app mode: {self.conversation.mode}")
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detail = ImagePromptMessageContent.DETAIL.LOW
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if file_extra_config and app_record:
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file_objs = file_factory.build_from_message_files(
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message_files=files, tenant_id=app_record.tenant_id, config=file_extra_config
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)
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if file_extra_config.image_config and file_extra_config.image_config.detail:
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detail = file_extra_config.image_config.detail
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else:
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file_objs = []
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if not file_objs:
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prompt_messages.append(UserPromptMessage(content=message.query))
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else:
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prompt_message_contents: list[PromptMessageContentUnionTypes] = []
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for file in file_objs:
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prompt_message = file_manager.to_prompt_message_content(
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file,
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image_detail_config=detail,
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)
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prompt_message_contents.append(prompt_message)
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prompt_message_contents.append(TextPromptMessageContent(data=message.query))
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prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
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else:
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prompt_messages.append(UserPromptMessage(content=message.query))
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# Process assistant message with files
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assistant_files = (
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db.session.query(MessageFile)
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.where(MessageFile.message_id == message.id, MessageFile.belongs_to == "assistant")
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.all()
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)
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if assistant_files:
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assistant_prompt_message = self._build_prompt_message_with_files(
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message_files=assistant_files,
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text_content=message.answer,
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message=message,
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app_record=app_record,
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is_user_message=False,
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)
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prompt_messages.append(assistant_prompt_message)
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else:
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prompt_messages.append(AssistantPromptMessage(content=message.answer))
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if not prompt_messages:
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