Berri AI

Simplify access to 100+ LLMs with Berri AI’s LiteLLM. Monitor usage, manage costs, enforce rate limits, and provide fallback support—all through a single OpenAI-compatible gateway.

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About Berri AI

Centralized LLM Infrastructure

Berri AI offers a streamlined gateway—LiteLLM—that gives developers and platform teams centralized access to over 100 large language models (LLMs). By offering compatibility with the OpenAI API format, it eliminates the need for custom integrations and reduces the time to adopt new models across providers.

Built for Scalability and Control

LiteLLM is trusted by teams at companies like Netflix, RocketMoney, and Lemonade. It enables enterprise-grade management of LLM operations, supporting everything from usage tracking to fine-grained access control, all in a production-ready open-source or enterprise package.

Core Features of LiteLLM

Unified Model Access

LiteLLM provides seamless connectivity to models across major providers including OpenAI, Azure, Bedrock, and GCP. Developers can switch between providers or integrate new models without rewriting their codebase, using one consistent API.

Transparent Spend Tracking

With LiteLLM, teams can accurately track usage costs by user, team, or organization. It supports tag-based cost attribution and integrates with cloud storage like S3 and GCS for logging, enabling better financial oversight and budgeting.

Advanced Capabilities for Enterprise Users

Rate Limiting and Budget Controls

Platform teams can define custom rate limits (RPM/TPM) and enforce usage budgets per team or key. These controls ensure operational efficiency while protecting infrastructure against misuse or overage.

Model Fallbacks and Guardrails

LiteLLM includes built-in support for model fallbacks, allowing uninterrupted service if a provider fails or limits access. Guardrails further enhance reliability by offering rules for safe prompt handling and API usage.

Developer and DevOps Tooling

Open Source and Extensible

The open-source version of LiteLLM is free to use and includes support for 100+ LLM integrations, load balancing, and telemetry logging. Developers can extend functionality with community-driven contributions or through supported SDKs.

Observability and Logging

LiteLLM integrates with Prometheus, OpenTelemetry, Langfuse, and other observability tools. Teams can monitor LLM usage metrics, track request performance, and analyze patterns for optimization or debugging.

Why Teams Choose Berri AI

Fast Time to Model Access

LiteLLM significantly reduces onboarding time for new LLMs. Teams can provide access to newly released models within hours, not days, thanks to a unified interface and compatibility layer.

Enterprise-Ready Security and Support

The enterprise plan includes features such as SSO, JWT authentication, audit logging, and custom SLAs. Organizations can deploy LiteLLM in the cloud or on-premises, depending on their infrastructure needs and compliance requirements.

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