Aneeb Ahmad@aneeblinkedin67078

TokenForge v2.0 is a production-grade Hybrid Routing Engine and AI Cost Governor engineered to solve the enterprise crisis of escalating cloud LLM inference fees and latency overhead. Built in strict compliance with the Track 1 headless container contract, the system automatically processes multi-domain tasks by ingestibing prompts from /input/tasks.json and generating schemas perfectly matching the /output/results.json specification. The core architecture introduces a multi-tier optimization paradigm: Tier 0 (Deterministic Local Solvers): To achieve true token elimination, incoming prompts enter a thread-safe ResponseCache before hitting an 8-Category Regex Classifier. Mathematical, algebraic, text-extraction, and sentiment analysis tasks are intercepted and processed natively using local SymPy, spaCy, and VADER engines. This guarantees 100% precision and records exactly $0.00 in marginal API costs, operating entirely within the zero-token ruleset. Tier 1/2 (Cloud Escalation): When a prompt requires deep reasoning or code generation, the engine dynamically escalates execution via the official Fireworks AI proxy. It actively respects environment runtime flags like ALLOWED_MODELS and enforces category-specific token caps. It prioritizes open-weight Google Gemma models (gemma2-9b-it) to optimize cloud tokens, competing directly for the specialized Google Gemma Prize. Fully concurrent with an 8-worker parallel thread pool, TokenForge v2.0 executes complete task evaluation suites in less than one second under severe headless constraints. Packaged as a clean, multi-architecture linux/amd64 Docker image, it bridges algorithmic precision with absolute cost governance.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.