| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293 | import jsonfrom core.agent.cot_agent_runner import CotAgentRunnerfrom core.model_runtime.entities.message_entities import (    AssistantPromptMessage,    PromptMessage,    SystemPromptMessage,    TextPromptMessageContent,    UserPromptMessage,)from core.model_runtime.utils.encoders import jsonable_encoderclass CotChatAgentRunner(CotAgentRunner):    def _organize_system_prompt(self) -> SystemPromptMessage:        """        Organize system prompt        """        prompt_entity = self.app_config.agent.prompt        first_prompt = prompt_entity.first_prompt        system_prompt = first_prompt \            .replace("{{instruction}}", self._instruction) \            .replace("{{tools}}", json.dumps(jsonable_encoder(self._prompt_messages_tools))) \            .replace("{{tool_names}}", ', '.join([tool.name for tool in self._prompt_messages_tools]))        return SystemPromptMessage(content=system_prompt)    def _organize_user_query(self, query,  prompt_messages: list[PromptMessage] = None) -> list[PromptMessage]:        """        Organize user query        """        if self.files:            prompt_message_contents = [TextPromptMessageContent(data=query)]            for file_obj in self.files:                prompt_message_contents.append(file_obj.prompt_message_content)            prompt_messages.append(UserPromptMessage(content=prompt_message_contents))        else:            prompt_messages.append(UserPromptMessage(content=query))        return prompt_messages    def _organize_prompt_messages(self) -> list[PromptMessage]:        """        Organize         """        # organize system prompt        system_message = self._organize_system_prompt()        # organize current assistant messages        agent_scratchpad = self._agent_scratchpad        if not agent_scratchpad:            assistant_messages = []        else:            assistant_message = AssistantPromptMessage(content='')            for unit in agent_scratchpad:                if unit.is_final():                    assistant_message.content += f"Final Answer: {unit.agent_response}"                else:                    assistant_message.content += f"Thought: {unit.thought}\n\n"                    if unit.action_str:                        assistant_message.content += f"Action: {unit.action_str}\n\n"                    if unit.observation:                        assistant_message.content += f"Observation: {unit.observation}\n\n"            assistant_messages = [assistant_message]        # query messages        query_messages = self._organize_user_query(self._query, [])        if assistant_messages:            # organize historic prompt messages            historic_messages = self._organize_historic_prompt_messages([                system_message,                *query_messages,                *assistant_messages,                UserPromptMessage(content='continue')            ])            messages = [                system_message,                *historic_messages,                *query_messages,                *assistant_messages,                UserPromptMessage(content='continue')            ]        else:            # organize historic prompt messages            historic_messages = self._organize_historic_prompt_messages([system_message, *query_messages])            messages = [system_message, *historic_messages, *query_messages]        # join all messages        return messages
 |