| Name | Berri AI |
| Overview | Berri AI, built on the LiteLLM platform, offers a streamlined solution for managing multiple large language models (LLMs). It acts as a gateway that allows developers to interact with providers like OpenAI, Anthropic, Hugging Face, and Azure through a unified API. It simplifies tasks such as load balancing, authentication, cost tracking, and observability across these platforms. Berri AI empowers teams to optimize their LLM usage efficiently and manage access across multiple services with ease. |
| Main features | – Unified API interface for multiple LLM providers – Cost tracking and usage monitoring – Load balancing across different models – Observability tools like logging and analytics – Custom integrations and callbacks |
| Benefits | – Reduces complexity in managing multiple LLMs – Helps monitor and control costs – Enhances scalability and reliability with load balancing – Provides deep logging and analytics – Customizable authentication support |
| Role of use | – Managing multi-LLM architecture – Streamlining API calls across providers – Implementing load balancing and fallback mechanisms – Monitoring costs and performance in real-time |
| Target audience | Developers, enterprises, and organizations working with large-scale language models needing simplified access to multiple providers |
| Pricing | Free tier available with $10 trial credit; additional enterprise and premium plans for customized solutions |
| Tags | LLM Management, API Gateway, OpenAI Integration, Load Balancing, Cost Tracking, Observability |
| App available? | No, Berri AI for website use only. |
Berri AI
5
/1 ratings
Introduction
Berri AI, powered by LiteLLM, simplifies access to multiple large language models (LLMs) via a unified API. It streamlines tasks like load balancing, cost tracking, and observability, enhancing efficiency and scalability
Category: Chat
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