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TLDR
Developers can use BricksLLM to implement fine-grained access control and monitoring for LLM APIs. It allows setting cost and rate limits per API key, user, application, or environment. This gateway supports various LLM providers, including OpenAI, Azure OpenAI, Anthropic, vLLM, and other open-source LLMs, ensuring controlled and efficient resource utilization.
Capabilities
Llm GatewayAct as a unified gateway for various Large Language Models, simplifying access and management. Supports: OpenAI, Azure OpenAI, Anthropic, vLLM, open-source LLMs.
Access ControlManage and enforce fine-grained access policies for LLM usage per user, application, or environment.
Cost ManagementImplement and monitor cost limits on LLM API usage to control spending.
Rate LimitingApply and enforce rate limits on LLM API requests to prevent abuse and manage traffic.
Monitoring & AnalyticsTrack and visualize LLM usage, performance, and cost metrics.
Api Key ManagementCreate, manage, and revoke API keys with associated policies for LLM access.