GONZALO ANDRÉS ARAVENA MUÑIZ@gonzaloam51694

HopRouter is a hybrid, token-efficient AI agent built for the AMD Developer Hackathon: ACT II. It handles all 8 required task categories - factual knowledge, mathematical reasoning, sentiment classification, text summarisation, named entity recognition, code debugging, logical reasoning, and code generation - by intelligently deciding, per task, whether to answer locally for free or route the request to a Fireworks AI model. The router classifies each incoming prompt using lightweight keyword and structural heuristics, at zero cost. Categories a small local model (Qwen2.5-0.5B, running fully on CPU) can answer reliably - sentiment analysis and short factual questions - are resolved locally, counting as zero tokens toward the final score. Everything else is routed to the best-suited Fireworks model: kimi-k2p7-code for code debugging and generation, and minimax-m3 for math, logic, summarisation, and named entity recognition. A safety-net layer validates local answers before accepting them (checking for recognizable sentiment labels, well-formed output, etc.) and escalates to Fireworks if the local answer looks unreliable, protecting the all-or-nothing accuracy gate. During development, we discovered the Gemma models listed in ALLOWED_MODELS return 404 errors on the Fireworks serverless endpoint (they require separate on-demand deployment), so HopRouter deliberately avoids them in favor of confirmed-working models, trading the Gemma bonus prize for submission reliability. The container reads /input/tasks.json, writes /output/results.json, and routes every remote call through FIREWORKS_BASE_URL as required. All responses are capped well under the 30-second per-request limit, with the local model pre-downloaded at build time and warmed up at startup to avoid runtime network dependency. Built with Python, PyTorch (CPU-only), Hugging Face Transformers, and Docker, HopRouter reflects a background in ETL/data pipeline engineering applied to LLM orchestration.

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.