Files
temporal-ai-agent/prompts/agent_prompt_generators.py

148 lines
6.2 KiB
Python

from models.tool_definitions import AgentGoal
from typing import Optional
import json
def generate_genai_prompt(
agent_goal: AgentGoal, conversation_history: str, 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 = []
# 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": "<plain text>",\n'
' "next": "<question|confirm|done>",\n'
' "tool": "<tool_name or null>",\n'
' "args": {\n'
' "<arg1>": "<value1 or null>",\n'
' "<arg2>": "<value2 or null>",\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"
"3) If no more tools are needed (user_confirmed_tool_run has been run for all), set next='confirm' and tool='ListAgents'.\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": "<question|confirm|done>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
"ONLY return those json keys (next, tool, args, response), nothing else."
'Next should be "question".'
)
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."
)