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from llama_index.core.tools import FunctionTool | |
from typing import List | |
from itf_agent import IAgent | |
from solver import Solver, Summarizer | |
from args import Args | |
class Assistant(IAgent): | |
def __init__(self, temperature, max_tokens): | |
super().__init__(temperature, max_tokens, "01_assistant.txt", Args.primary_llm_interface) | |
class Manager(IAgent): | |
def __init__(self, temperature, max_tokens, max_depth): | |
super().__init__(temperature, max_tokens, "02_manager.txt", Args.primary_llm_interface) | |
self.max_depth = max_depth | |
self.current_depth = 0 | |
# We track the current query to forward it to the team when needed. | |
self.current_query = "" | |
self.solver = Solver(temperature, max_tokens) | |
self.summarizer = Summarizer(temperature, max_tokens) | |
def setup_tools(self) -> List: | |
return [ | |
FunctionTool.from_defaults( | |
name="require_break_up", | |
description="Break a complex task into simpler subtasks. Use when a task needs to be divided into manageable parts.", | |
fn=self.require_break_up | |
), | |
FunctionTool.from_defaults( | |
name="require_solution", | |
description="Request direct solutions for specific tasks. Use when a task is simple enough to be solved directly.", | |
fn=self.require_solution | |
), | |
FunctionTool.from_defaults( | |
name="forward_query", | |
description="Request direct solutions for the current query. Use as a first attempt and to make the team aware of the task's context.", | |
fn=self.forward_query | |
) | |
] | |
async def query(self, question: str, has_context=True) -> str: | |
self.current_query = question | |
return await super().query(question, has_context) | |
async def require_break_up(self, tasks: List[str], try_solving = False) -> str: | |
""" | |
Break down complex tasks into simpler subtasks recursively up to max_depth. | |
Args: | |
tasks: List of tasks to break down | |
try_solving: Whether to attempt solving tasks at max depth (default: False) | |
Returns: | |
Summarized report of the task breakdown | |
""" | |
print(f"-> require_break_up tool used (input: {tasks}) !") | |
if not tasks: | |
return "Error: No tasks provided to break up. Please provide at least one task." | |
self.current_depth += 1 | |
observation = "" | |
if self.current_depth < self.max_depth: | |
for task in tasks: | |
solution = await self.query(task, has_context=False) | |
response = f"For task:\n\n{task}\n\nThe following break up has been provided:\n\n{solution}\n\n" | |
observation += response | |
elif try_solving: | |
for task in tasks: | |
response = await self.solver.query(task) | |
else: | |
observation = "Maximum depth for `break_up` tool has been reached ! At this point, you may try to break up the task yourself or try `require_solution`." | |
self.current_depth -= 1 | |
report = await self.summarizer.query(observation.strip()) | |
return report | |
async def require_solution(self, tasks: List[str]) -> str: | |
""" | |
Request direct solutions for the provided tasks using the Solver. | |
Args: | |
tasks: List of tasks to solve | |
Returns: | |
Summarized report of solutions for all tasks | |
""" | |
print(f"-> require_solution tool used with input: {tasks} !") | |
if not tasks: | |
return "Error: No tasks provided to solve. Please provide at least one task." | |
observation = "" | |
for task in tasks: | |
solution = await self.solver.query(task) | |
observation += solution | |
report = await self.summarizer.query(observation.strip()) | |
return report | |
async def forward_query(self) -> str: | |
return await self.require_solution([self.current_query]) | |