from models.tool_definitions import AgentGoal from typing import Optional import json MULTI_GOAL_MODE:bool = None def generate_genai_prompt( agent_goal: AgentGoal, conversation_history: str, multi_goal_mode:bool, raw_json: Optional[str] = None ) -> str: """ Generates a concise prompt for producing or validating JSON instructions with the provided tools and conversation history. """ prompt_lines = [] set_multi_goal_mode_if_unset(multi_goal_mode) # Intro / Role prompt_lines.append( "You are an AI agent that helps fill required arguments for the tools described below. " "You must respond with valid JSON ONLY, using the schema provided in the instructions." ) # Main Conversation History prompt_lines.append("=== Conversation History ===") prompt_lines.append( "This is the ongoing history to determine which tool and arguments to gather:" ) prompt_lines.append("BEGIN CONVERSATION HISTORY") prompt_lines.append(json.dumps(conversation_history, indent=2)) prompt_lines.append("END CONVERSATION HISTORY") prompt_lines.append("") # Example Conversation History (from agent_goal) if agent_goal.example_conversation_history: prompt_lines.append("=== Example Conversation With These Tools ===") prompt_lines.append( "Use this example to understand how tools are invoked and arguments are gathered." ) prompt_lines.append("BEGIN EXAMPLE") prompt_lines.append(agent_goal.example_conversation_history) prompt_lines.append("END EXAMPLE") prompt_lines.append("") # Tools Definitions prompt_lines.append("=== Tools Definitions ===") prompt_lines.append(f"There are {len(agent_goal.tools)} available tools:") prompt_lines.append(", ".join([t.name for t in agent_goal.tools])) prompt_lines.append(f"Goal: {agent_goal.description}") prompt_lines.append( "Gather the necessary information for each tool in the sequence described above." ) prompt_lines.append( "Only ask for arguments listed below. Do not add extra arguments." ) prompt_lines.append("") for tool in agent_goal.tools: prompt_lines.append(f"Tool name: {tool.name}") prompt_lines.append(f" Description: {tool.description}") prompt_lines.append(" Required args:") for arg in tool.arguments: prompt_lines.append(f" - {arg.name} ({arg.type}): {arg.description}") prompt_lines.append("") prompt_lines.append( "When all required args for a tool are known, you can propose next='confirm' to run it." ) # JSON Format Instructions prompt_lines.append("=== Instructions for JSON Generation ===") prompt_lines.append( "Your JSON format must be:\n" "{\n" ' "response": "",\n' ' "next": "",\n' ' "tool": "",\n' ' "args": {\n' ' "": "",\n' ' "": "",\n' " ...\n" " }\n" "}" ) prompt_lines.append( "1) If any required argument is missing, set next='question' and ask the user.\n" "2) If all required arguments are known, set next='confirm' and specify the tool.\n" " The user will confirm before the tool is run.\n" f"3) {generate_toolchain_complete_guidance()}\n" "4) response should be short and user-friendly.\n" ) # Validation Task (If raw_json is provided) if raw_json is not None: prompt_lines.append("") prompt_lines.append("=== Validation Task ===") prompt_lines.append("Validate and correct the following JSON if needed:") prompt_lines.append(json.dumps(raw_json, indent=2)) prompt_lines.append("") prompt_lines.append( "Check syntax, 'tool' validity, 'args' completeness, " "and set 'next' appropriately. Return ONLY corrected JSON." ) # Prompt Start prompt_lines.append("") if raw_json is not None: prompt_lines.append("Begin by validating the provided JSON if necessary.") else: prompt_lines.append( "Begin by producing a valid JSON response for the next tool or question." ) return "\n".join(prompt_lines) def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) -> str: """ Generates a prompt for handling tool completion and determining next steps. Args: current_tool: The name of the tool that just completed dynamic_result: The result data from the tool execution Returns: str: A formatted prompt string for the agent to process the tool completion """ return ( f"### The '{current_tool}' tool completed successfully with {dynamic_result}. " "INSTRUCTIONS: Parse this tool result as plain text, and use the system prompt containing the list of tools in sequence and the conversation history (and previous tool_results) to figure out next steps, if any. " "You will need to use the tool_results to auto-fill arguments for subsequent tools and also to figure out if all tools have been run. " '{"next": "", "tool": "", "args": {"": "", "": "}, "response": ""}' "ONLY return those json keys (next, tool, args, response), nothing else. " 'Next should be "question" if the tool is not the last one in the sequence. ' 'Next should be "done" if the user is asking to be done with the chat. ' f"{generate_pick_new_goal_guidance()}" ) def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_args: list[str]) -> str: """ Generates a prompt for handling missing arguments for a tool. Args: current_tool: The name of the tool that needs arguments tool_data: The current tool data containing the response missing_args: List of argument names that are missing Returns: str: A formatted prompt string for requesting missing arguments """ return ( f"### INSTRUCTIONS set next='question', combine this response response='{tool_data.get('response')}' " f"and following missing arguments for tool {current_tool}: {missing_args}. " "Only provide a valid JSON response without any comments or metadata." ) def set_multi_goal_mode_if_unset(mode:bool)->None: """ Set multi-mode (used to pass workflow) Args: None Returns: bool: True if in multi-goal mode, false if not """ global MULTI_GOAL_MODE if MULTI_GOAL_MODE is None: MULTI_GOAL_MODE = mode def is_multi_goal_mode()-> bool: """ Centralized logic for if we're in multi-goal mode. Args: None Returns: bool: True if in multi-goal mode, false if not """ return MULTI_GOAL_MODE def generate_pick_new_goal_guidance()-> str: """ Generates a prompt for guiding the LLM to pick a new goal or be done depending on multi-goal mode. Args: None Returns: str: A prompt string prompting the LLM to when to go to pick-new-goal """ if is_multi_goal_mode(): return 'Next should only be "pick-new-goal" if all tools have been run for the current goal (use the system prompt to figure that out), or the user explicitly requested to pick a new goal.' else: return 'Next should never be "pick-new-goal".' def generate_toolchain_complete_guidance() -> str: """ Generates a prompt for guiding the LLM to handle the end of the toolchain. Args: None Returns: str: A prompt string prompting the LLM to prompt for a new goal, or be done """ if is_multi_goal_mode(): return "If no more tools are needed (user_confirmed_tool_run has been run for all), set next='confirm' and tool='ListAgents'." else : return "If no more tools are needed (user_confirmed_tool_run has been run for all), set next='done' and tool=''."