Not Diamond

Not Diamond is an intelligent model router specifically designed to optimize the performance and efficiency of coding agents. Its primary function is to act as a logical decision layer that determines, in real-time, the most suitable large language model (LLM) to solve a specific task. This tool allows engineering teams to achieve state-of-the-art response quality while significantly reducing operational overhead and avoiding the systematic use of the most expensive models for tasks that don't require them.

Not Diamond's technology is based on the intelligent prediction of the optimal model for every data input. Unlike a traditional gateway, this software integrates into existing infrastructure to analyze critical variables such as payload semantics, KV cache status, implicit feedback signals, and results from previous sessions. By leveraging reinforcement learning, the system continuously improves its recommendations, personalizing decisions based on the developer's context and established accuracy goals.

Key functional capabilities of Not Diamond include:

• Privacy-Preserving Routing: It enables routing decisions based exclusively on metadata and locally calculated features, ensuring that sensitive message content remains invisible to the tool.
• Agnostic Compatibility: It integrates via a secure API with various runtime environments and providers, including OpenAI, Anthropic, and open-source models (OSS), protecting companies against vendor lock-in.
• Optimization for Coding Agents: It is specifically designed for complex, long-running workflows and is compatible with tools like Claude Code and various agent harnesses.
• Low Response Latency: The model selection process adds only 100 to 150 ms per request, maintaining the necessary fluidity for production environments.

Not Diamond is geared toward developers and companies looking to maximize the efficiency of their AI applications. By implementing this model router, teams can achieve accuracy increases of over 5% and direct cost savings of at least 20%. Additionally, the tool facilitates development cycles up to twice as fast by automating the selection of the most logical computing infrastructure for each query.

In terms of security, the platform complies with SOC-2 and ISO 27001 standards, offering customized data retention policies and specialized support for mission-critical workloads. This makes it a robust solution for organizations that require strict control over their LLM optimization processes without compromising code integrity or user privacy.