Console Combat ABot Logic

I already have the capture pipeline in place: AI-driven computer-vision reads the console’s HDMI feed, pushes decisions through Titan Two and a VIGEm virtual controller, then injects the inputs back to the console. What I still need is the real “brain” of the system—a complete ABot logic layer focused purely on combat assistance. Scope of work • Combat Assistance Only: no resource gathering or NPC chat—just fight-centric behaviour. • Features required: reliable auto-targeting plus streamlined skill automation (cool-downs, combos, burst rotations, etc.). • Multi-Game Flexibility: the logic must be structured so I can drop in profiles for a variety of titles without rewriting the core. Think game-agnostic state machine or modular behaviour tree rather than hard-coded offsets. Tech context • Runs headless on Windows. • Feeds come from an ML vision module (OpenCV + YOLO). Your layer simply calls my existing detection API and returns controller inputs. • Inputs are issued through Titan Two scripting or direct VIGEm calls—whichever is cleaner for you. Deliverables 1. Well-commented source (Python, C++, W/GPC script) implementing the combat logic. 2. At least one working example profile that demonstrates auto-targeting and skill rotation in a live console session. 3. Clear instructions for adding new game profiles and adjusting thresholds. 4. Short video or live demo proving the example profile functions in real-time. Acceptance criteria • <40 ms end-to-end decision latency on a mid-tier gaming PC. • ≥95 % hit confirmation in the sample demo. • Clean hand-off between automated and manual control (controller override pauses the bot instantly). If you already have a finished ABot that meets these requirements, I’m open to purchasing the entire package and integrating it myself. Otherwise, let’s build it from scratch—either way, I’m ready to move quickly once I see a solid technical plan.