
TokenHawk is a verification-first, token-efficient AI agent built for Track 1 of the AMD Developer Hackathon. It handles factual questions, mathematics, sentiment, summarization, named-entity recognition, code debugging, logical reasoning, and code generation. For each task, TokenHawk first extracts the required answer format and constraints. It then attempts a local solution using a compact language model, deterministic solvers, and category-specific checks. Answers can be validated through arithmetic recomputation, code execution, format rules, entity checks, and other evidence-based safeguards. Only unresolved tasks are sent to an allowed Fireworks model using compact prompts and controlled outputs. The system runs in a reproducible Linux/AMD64 Docker container and is designed to preserve reliable answer quality while minimizing unnecessary remote tokens and inference cost.
13 Jul 2026