Regarding enterprise-level functionality, many current LLM suppliers still need to catch up. One major issue is the need for a reliable method for regulating LLM expenditures on a per-user, per-project, per-environment, per-feature basis, etc. A granular method of monitoring LLMs has yet to be created. However, technical resources should be better spent releasing technologies that contribute to the company’s success rather than creating an LLM wrapper internally. It might be challenging for developers to integrate LLMs into practical applications—security issues, operational costs, and dependability assurance all present formidable obstacles.
Meet BricksAI Cloud, a secure and dependable open-core SaaS solution for managing the LLM usage. Bricks API keys with custom limits (e.g., expiration date, rate limit, or spend limit) can be created and used instead of API keys from the providers because BricksAI are a proxy. For developers working on GenAI projects, BricksAI provides an open-core AI gateway with all the necessary functionality. The minimum amount of code needed to begin is only two lines.
One can accurately monitor the token expenditure and consumption with no setup required due to BricksAI’s official support for OpenAI and Anthropic. Recently, BricksAI has simplified LLM operations for many clients, including an AI startup, a leading European travel agency, a late-stage sustainability tech firm, a large leadership training NGO, and several other companies.
Enterprise-ready, Observability, Reliability, and Access Control are all features offered by BricksAI. The fact that BricksAI is easy for developers to use is a major plus. Little effort is required to integrate BricksAI into the project. Two lines of code are needed to incorporate LLMs into an application. This frees developers to concentrate on creating the application’s essential features rather than dealing with complicated API integrations.
In Conclusion
To create inventive, safe, and scalable GenAI applications, developers need BricksAI, a formidable tool that unlocks the potential of LLMs. Its scalability, strong security features, and emphasis on developer experience make it an advantage in the ever-changing world of LLM development.
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