Agentic AI Controller
This document outlines the operational logic for the Agentic AI Mode, detailing how the AI translates user intent and visual data into system actions.
Agentic AI Logic & Instructions
This document outlines the operational logic for the Agentic AI Mode, detailing how the AI translates user intent and visual data into system actions.
🤖 Intelligence Architecture
The Agentic AI operates as a multi-stage reasoning engine:
-
State Perception:
- Vision (VLM): Captures screen frames to describe HUD, enemies, and environment.
- OCR: Extracts quest logs, dialogue, and UI text to identify current game missions.
- Telemetry: Monitors CPU/GPU metrics and active input devices (KBM vs. Controller).
-
Contextual Reasoning:
- Library Context: Injects scanned games to understand available software.
- Genre Protocols: Switches logic based on game type (e.g., Tactical, Racing, RPG).
- Web Intelligence: Fetches live walkthroughs if the user encounters a "stuck" state.
-
Command Execution:
- [SYSTEM_COMMAND]: Direct calls to hardware (Cooling, VRAM, Navigation).
- [LAUNCH_COMMAND]: Native OS calls to execute games/apps.
- Input Simulation: Simulates hardware-level keystrokes or controller inputs.
🎙️ Agentic Voice Guidance & Prediction
When Agentic Mode is active, a specialized Voice Co-pilot protocol is engaged:
- Guidance Trigger: Upon activation, the agent offers voice guidance. A "yes" response activates the Proactive Guidance Controller.
- Game Prediction Logic:
- Contextual Extrapolation: The AI analyzes the current
vlm_descriptionandquest_texts. - Intelligence Synthesis: It queries web walkthroughs and its own internal game knowledge base.
- Predictive Output: Instead of just describing the current state, it predicts the next tactical move (e.g., "Based on the quest log, you're about to enter the Boss Arena. I predict a high-damage fire phase—I recommend switching to fire-resistant gear now.").
- Contextual Extrapolation: The AI analyzes the current
- Autonomous Search: If a quest objective is detected, the agent proactively searches for the optimal "Logic Path" to completion before the user even asks.
🔄 Agentic Workflow Diagram
The following diagram illustrates the flow from game detection to autonomous action:
SYSTEM ARCHITECTURE DIAGRAMMERMAID SVG ENGINEGenerating visual flowchart...
📝 LLM Instruction Logic
When Agentic Mode is active, the system injects the following directive into the AI's prompt:
AGENTIC PERMISSION: The user has enabled 'Agentic AI Mode'. You now have direct access to system sensors and controls. You may execute actions using [SYSTEM_COMMAND:...] for hardware or [LAUNCH_COMMAND:...] for app execution.
This shifts the AI's persona from a "Conversational Assistant" to a "System Operator," enabling it to take initiative on behalf of the player.