PromptSmith
TARGET: DeepSeek R1 & V3
DeepSeek R1 Prompt Optimization & Search Space Bounding
Conversational filler tokens like "could you please" burn 35% of self-attention compute. PromptSmith decomposes draft instructions into high-density structured contracts in zero milliseconds.
Raw Input Draft
Natural English
High-Density Prompt Output
-38% Tokens Saved
### Mathematical & Algorithmic Contract
Objective: Cycle detection in a directed graph G = (V, E) using Kahn's algorithm or Tarjan's strongly connected components.
### Invariant Equations & Safety Bounds
- Computational Invariant: O(|V| + |E|) time complexity, O(|V|) auxiliary memory.
- Termination: Strict acyclic DAG verification with cycle vertex set extraction.
- Zero speculative conversational branching; provide full runnable implementation with formal assertions.