o fh=@sddlmZddlmZddlmZddlmZmZddl m Z ddl m Z GdddeZ ee d Zd Zejed eid ZeeBeBZddededed BfddZd S))llm)ChatPromptTemplate)JsonOutputParser) BaseModelField)RunnableParallel)CHARACTER_TEMPLATEc@sHeZdZUeddZeed<eddZeed<eddZedBed<dS) AssistantResponsez0The natural language response to the user query.) descriptionresponsez5The related action ID from the input action ID array. action_idz:The destination if specified by the user; otherwise, null.N destination) __name__ __module__ __qualname__rr str__annotations__r r rrY/var/www/html/aiverses.in/BackEnd/Ai_Agents/services/llm_functions/get_action_response.pyr s r )pydantic_objecta You are an intelligent assistant. Based on the user input, the list of possible actions, and optionally the distances to various destinations, determine the most relevant action ID and generate an appropriate response. If distances are provided and the user specifies a movement or want to see a destination but doesn't mention the mode (car or walk), decide based on the distance: - Use "Move by walk" if the distance is <= 2 km. - Use "Move by car" if the distance is > 2 km. If distances are not provided, make a logical decision based only on the user input. Input: "{user_input}" Actions: {actions} Distances: {distances} Output format: {format_instructions} Example with distances: Input: "Take me to Park Area" Actions: ["Move by car", "Move by walk", "Stop", "Start Tour", "End Tour"] Distances: {{"Park Area": 24, "Premium Villa": 45, "Playground": 1.5}} Response: "Okay, I will take you to the Park Area." Action ID: "Move by car" Destination: "Park Area" Example without distances: Input: "End the tour for today." Actions: ["Move by car", "Move by walk", "Stop", "Start Tour", "End Tour"] Distances: null Response: "Ending the tour for today." Action ID: "End Tour" Destination: null format_instructions)templatepartial_variablesN user_inputactions distancescCs&|dur|nd}t|||d}|S)zVGet the response from the LLM based on user input, action IDs, and optional distances.Nnull)rrr)chaininvoke)rrrresultrrrget_action_responseIsr )N)Ai_Agents.models.language_modelrlangchain.promptsrlangchain_core.output_parsersrpydanticrrlangchain_core.runnablesr/Ai_Agents.services.templates.character_templaterr parserprompt_template from_templateget_format_instructionspromptrrlistdictr rrrrs      "