Meet BricksAI: An Open-Core AI Gateway that Helps Developers Implement All Essential Features Needed in Any GenAI Project
What challenges do developers face when integrating LLMs?
Developers face challenges such as cost efficiency, accuracy of LLM outputs, currentness, enterprise context awareness, and safety when integrating LLMs. They also need to navigate complexities like choosing the right LLM API, handling quota and rate limit restrictions, managing contextual memory and limitations, implementing caching strategies, and ensuring user privacy and data security.
How does BricksAI simplify LLM operations?
BricksAI simplifies LLM operations by providing an open-core AI gateway that streamlines the management of LLM usage. It allows developers to create custom Bricks API keys with rate-limits, spend-limits, and expiration dates, making it easier to track and control LLM costs per project or user. BricksAI supports integrations with OpenAI and Anthropic, enabling accurate token usage and cost tracking without additional configuration.
What is the role of BricksAI in managing LLM usage?
BricksAI is an open-core AI gateway that helps developers manage and secure their LLM application's usage, observability, and reliability. It provides customizable Bricks API keys with limits like expiry dates, rate-limits, or spend-limits and supports OpenAI and Anthropic models. It streamlines LLM operations and offers enterprise-level features like access control, monitoring, and cost tracking, making it easier for developers to integrate LLMs into applications.