Enterprise-level software often grapples with managing large language models (LLMs) due to a lack of robust methods in regulating such models’ usage. Regularizing these expenditures per use, project, environment or feature can be tricky as it requires a detailed and intricate method for monitoring LLMs. In many cases, this could mean a diversion of technical resources that could have been better spent on pursuing innovations that propel company success.
Introducing BricksAI Cloud, an open-core Software-as-a-Service (SaaS) solution specifically designed to handle the management of LLMs. This offers a practical alternative for developers who are consistently faced with issues related to security, high operational costs and assurance of dependability when integrating LLMs into functional applications. With BricksAI, it becomes easy to develop custom API keys with set limits in order to regulate usage rather than using those from the providers then function as a proxy. BricksAI provides a comprehensive AI gateway for developers, requiring a mere two lines of code to kickstart any GenAI project.
Another impressive feature of BricksAI is its ability to accurately monitor token consumption and expenditures without requiring any setup effort. By providing official support for OpenAI and Anthropic, it has continued to streamline LLM operations across different companies. Among these are a well-known European travel agency, an AI startup, a significant sustainability tech firm and a sizeable leadership training Non-Governmental Organization (NGO).
Key features offered by BricksAI include Enterprise readiness, Observability, Reliability as well as Access Control. Ease of use by developers makes BricksAI a desirable choice for managing LLMs, as integrating it into any project requires a minimal effort that involves a mere two lines of code. Thus, it affords developers the opportunity to focus more on building the essential aspects of their applications, freeing them from the often daunting task of addressing complex API integrations.
In conclusion, BricksAI emerges as a strong tool that holds the key to unlocking the potential of LLMs for developers. By focusing on creating innovative, secure and scalable GenAI applications, it positions itself as a valuable asset in the dynamic landscape of LLM development. This is due to its scalability, solid security features and a strong emphasis on improving the developer experience. BricksAI is indeed an open-core AI gateway that equips developers with the vital features required in any GenAI project.
