Nicolas Böhme@Nicolas_Boehme
Nicolas_Boehme
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Fallthrough
Fallthrough is a batch-processing agent for mixed Track 1 tasks. It handles each prompt independently and chooses the lowest-cost route that can produce a useful answer. Supported problems are handled by deterministic solvers inside the container. These routes only commit when they can verify the complete result; otherwise, the task falls through to a local language model. All remaining tasks are answered by a bundled, four-bit Phi-4 Mini model running through llama.cpp. The model loads once per batch and requires no network connection or runtime download. Generation is bounded to keep the complete container run within the judging limit. If a task times out or local inference fails, Fallthrough returns a task-specific, non-empty fallback so that one failure cannot invalidate the whole batch. Results are written in the required evaluator format. The final image makes no external API calls and uses zero Fireworks tokens.
13 Jul 2026
