Auriko

Auriko functions as an intelligent trading desk for Large Language Model (LLM) calls, designed to optimize inference paths for both cost and performance. It treats various LLM providers as trading venues, leveraging arbitrage opportunities to reduce expenses. The system is built by individuals with a background in quantitative trading, bringing a sophisticated approach to managing LLM usage. The core problem Auriko addresses is the escalating and often unpredictable cost associated with utilizing LLM APIs. Many teams select a single LLM provider and stick with it due to inertia, missing out on potential savings and performance gains. The complexity of token pricing, cache behavior, latency, and reliability across different providers makes manual optimization challenging and time-consuming. Auriko's cost-arbitrage engine is central to its functionality. It continuously calibrates to each user's specific request patterns. This calibration allows Auriko to select the most optimized inference paths by considering a multitude of factors. These factors include the token price, the efficiency of cache utilization, the expected latency, the reliability of the provider, and the overall quality of the request. A key feature is its ability to dynamically route LLM calls. Instead of a static selection, Auriko analyzes live signals to compute a composite routing score. This score encompasses expected cost, time-to-first-byte (TTFT), latency, throughput, and reliability. This ensures that each request is directed to the provider and path that offers the best balance of these critical metrics at that specific moment. Quality control is a paramount concern. Auriko ensures that cost optimization does not come at the expense of output quality. The system uses a curated model catalog with truthful model identities, allowing users to specify exact models, including quantization. Routing decisions are made within these defined boundaries, and models are evaluated before being added to the catalog. Furthermore, Auriko accounts for cache state, user usage patterns, and session context to maintain cache-hit efficiency and predictable performance, even across different providers. The product operates on a sophisticated routing methodology. When a request is received, Auriko builds a candidate set of available routing options. It then applies hard constraints such as model capabilities, budget, data policies, parameter support, and availability. The routing engine scores each candidate based on cost, latency, throughput, and success rate, selecting the optimal path according to the user's defined strategy. Performance data from requests feeds back into the system, generating health and performance signals that continuously calibrate future routing decisions. The primary benefit for users is a significant reduction in LLM inference costs. Auriko benchmarks indicate an average cost reduction of 30% compared to industry peers and direct providers. Beyond cost savings, users benefit from predictable quality, optimized latency, and improved throughput, all managed through a unified API. The system also provides transparent logging of fallback chains and detailed reporting on cached tokens and savings. Auriko is particularly useful for developers and teams building AI agents or applications that rely heavily on LLM calls. Specific use cases include optimizing costs for chatbots, content generation tools, code assistants, and any application involving repetitive or complex LLM interactions. By using different API keys for distinct workflows, users can maximize the calibration engine's effectiveness and improve cost savings. Auriko is positioned as a tool for developers and teams managing LLM infrastructure. While specific pricing details are not provided, the mention of "Free Options" suggests a potential freemium model. The product is accessible via a web interface and offers a unified API, indicating it primarily serves as a web-based service. The tech stack and specific integrations are not detailed in the provided content. In essence, Auriko provides a smart, automated solution for managing LLM call expenses and performance, transforming the complex landscape of LLM providers into a manageable trading desk for optimal resource utilization.