Speculative Intent-Router

The problem

Complex multi-step tasks are difficult to manage because it is hard to determine which actions need to happen first or in what order. This leads to inefficient workflows where the system gets stuck or repeats unnecessary steps.

What it does

It analyzes a large goal and maps out the necessary steps by predicting which actions depend on each other. It then organizes these tasks into a clear, prioritized path to reach the end goal.

Why it matters

It allows for more efficient execution of complex tasks by organizing the work flow before it begins.

Validation

It was run in the sandbox and it failed. run produced no meaningful output (empty or near-empty).

$ python3 router.py
Traceback (most recent call last):
  File "/work/speculative_intent_router.py", line 69, in <module>
    router = SpeculativeIntentRouter()
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/work/speculative_intent_router.py", line 9, in __init__
    'create_project': self.handle_create_project,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'SpeculativeIntentRouter' object has no attribute 'handle_create_project'

No screenshot — there is nothing working to show. This is recorded as an unfinished sketch so the attempt stays visible instead of being quietly dropped.

The code

All of it — 138 lines, one file, standard library only.

import sys
from collections import defaultdict
import json
import random

class PathDependencyGraph:
    def __init__(self):
        self.dependencies = {
            'create_project': [],
            'add_component': ['create_project'],
            'deploy': ['add_component']
        }
        self.dependency_graph = {
            'create_project': 1.0,
            'add_component': 0.8,
            'deploy': 0.6
        }

    def calculate_path_feasibility(self, path):
        base_score = (self.knowledge_store.get(path, 0.5) + (1 - len(path)/10))
        dependency_score = 1.0
        for dep in self.dependencies.get(path, []):
            dependency_score *= self.dependency_graph[dep]
        return (base_score * dependency_score) / 2


class PathDependencyGraph:
    def __init__(self):
        self.dependencies = {
            'create_project': [],
            'add_component': ['create_project'],
            'deploy': ['add_component']
        }
        self.dependency_graph = {
            'create_project': 1.0,
            'add_component': 0.8,
            'deploy': 0.6
        }
        self.knowledge_store = defaultdict(float)

    def calculate_path_feasibility(self, path):
        base_score = (self.knowledge_store.get(path, 0.5) + (1 - len(path)/10))
        dependency_score = 1.0
        for dep in self.dependencies.get(path, []):
            dependency_score *= self.dependency_graph[dep]
        return (base_score * dependency_score) / 2


class SpeculativeIntentRouter:
    def __init__(self):
        self.intent_router = {
            'create_project': self.handle_create_project,
            'add_component': self.handle_add_component,
            'deploy': self.handle_deploy
        }
        self.speculative_executor = SpeculativeExecutor()
        self.knowledge_store = defaultdict(float)
        self.path_scores = defaultdict(float)
        # New: Path Dependency Graph
        self.dependencies = {
            'create_project': [],
            'add_component': ['create_project'],
            'deploy': ['add_component']
        }
        self.dependency_graph = {
            'create_project': 1.0,
            'add_component': 0.8,
            'deploy': 0.6
        }

    def route_intent(self, user_intent):
        if user_intent not in self.intent_router:
            return "Unsupported intent"

        base_response = self.intent_router[user_intent]()
        speculative_steps = self.speculative_executor.predict_next_steps(user_intent)

        # Calculate cumulative path scores with dependency graph
        for step in speculative_steps:
            path_score = self.calculate_path_feasibility(step)
            self.path_scores[step] = path_score

        prioritized_paths = sorted(
            self.path_scores.items(),
            key=lambda x: -x[1]
        )

        return f"{base_response}\nSpeculative Next Steps:\n{json.dumps(prioritized_paths, indent=2)}"

    def calculate_path_feasibility(self, path):
        # Original calculation
        base_score = (self.knowledge_store.get(path, 0.5) + (1 - len(path)/10))

        # New: Cumulative score with dependency graph
        dependency_score = 1.0
        for dep in self.dependencies.get(path, []):
            dependency_score *= self.dependency_graph[dep]

        # Combine base score with dependency multiplier
        return (base_score * dependency_score) / 2

    def updateKnowledge(self, path, success):
        if success:
            self.knowledge_store[path] = min(1.0, self.knowledge_store[path] + 0.2)
        else:
            self.knowledge_store[path] -= 0.1

    def handle_create_project(self):
        return "Project created"

    def handle_add_component(self):
        return "Component added"

    def handle_deploy(self):
        return "Deployed"


class SpeculativeExecutor:
    def predict_next_steps(self, current_step):
        transition_matrix = {
            'create_project': ['add_component', 'deploy'],
            'add_component': ['add_component', 'deploy'],
            'deploy': []
        }
        return [random.choice(transition_matrix.get(current_step, [])) for _ in range(2)]

    def execute_speculative(self, step):
        print(f"[Speculative] Executing {step}")
        return random.choice([True, False])

if __name__ == '____main__':
    router = SpeculativeIntentRouter()
    if len(sys.argv) > 1:
        user_intent = sys.argv[1]
        result = router.route_intent(user_intent)
        print(result)
    else:
        print("Usage: python router.py <intent>")