Berri AI's LiteLLM is the ultimate LLM gateway, providing seamless access to 100+ AI models (OpenAI, Azure, Gemini, Bedrock, Anthropic) with unified OpenAI compatibility. Simplify model management, cost tracking, and fallbacks while boosting developer productivity. Try the open-source or enterprise solution today for scalable, secure AI deployments.
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Published:
2024-09-08
Created:
2025-04-26
Last Modified:
2025-04-26
Published:
2024-09-08
Created:
2025-04-26
Last Modified:
2025-04-26
Berri AI Product Information
What is Berri AI LiteLLM?
Berri AI LiteLLM is an LLM Gateway that simplifies model access, spend tracking, and fallbacks across 100+ LLMs like OpenAI, Azure, and Anthropic. It provides a unified OpenAI-compatible interface for developers, enabling seamless integration, cost management, and load balancing for large language model applications.
Who will use Berri AI LiteLLM?
Berri AI LiteLLM is designed for platform teams, developers, and enterprises managing multiple LLM integrations. It’s ideal for organizations needing centralized access, cost tracking, and rate limiting for AI models, such as Netflix, Lemonade, and RocketMoney, which use it to streamline LLM deployments.
How to use Berri AI LiteLLM?
- Deploy LiteLLM Open Source via Docker or cloud platforms.
- Integrate with 100+ LLM providers like OpenAI, Azure, or Anthropic.
- Track spend and set budgets using the proxy’s cost-tracking features.
- Manage rate limits and fallbacks for uninterrupted model access.
- Use the OpenAI-compatible API for consistent developer workflows.
- Log data to S3/GCS or tools like Langfuse for analytics.
In what environments or scenarios is Berri AI LiteLLM suitable?
Berri AI LiteLLM is ideal for enterprises scaling AI deployments, teams managing multi-LLM workflows, and developers needing unified access to models. It suits cloud or self-hosted environments, supports JWT/SSO authentication, and excels in scenarios requiring cost tracking, load balancing, or rapid model switching (e.g., AI platforms, SaaS tools).
Berri AI Features & Benefits
What are the core features of LiteLLM?
- Provides access to 100+ LLMs including OpenAI, Azure, Gemini, and Anthropic.
- Offers spend tracking and budgeting tools for accurate cost management.
- Supports OpenAI-compatible API formats for seamless integration.
- Includes LLM fallbacks and load balancing for reliability.
- Features rate limiting and prompt management for controlled usage.
What are the benefits of using LiteLLM?
- Simplifies model access across multiple LLM providers in a unified format.
- Reduces operational complexity with standardized logging and authentication.
- Enables cost transparency with detailed spend tracking and budgeting.
- Improves reliability with fallback mechanisms and load balancing.
- Accelerates developer productivity by eliminating provider-specific integrations.
What is the core purpose and selling point of LiteLLM?
- Acts as an LLM gateway to streamline access to 100+ models via OpenAI-compatible APIs.
- Centralizes spend tracking, rate limiting, and fallbacks for enterprise-scale deployments.
- Eliminates the need for custom integrations with multiple LLM providers.
- Trusted by companies like Netflix and Lemonade for rapid model adoption.
- Offers both open-source and enterprise solutions for flexibility.
What are typical use cases for LiteLLM?
- Enabling developers to quickly test and deploy new LLM models.
- Managing multi-provider LLM access for large teams or organizations.
- Tracking and optimizing costs across AI model usage.
- Ensuring high availability with fallbacks and load balancing.
- Standardizing authentication and logging for compliance and security.
FAQs about Berri AI
What is LiteLLM and how does it help developers?
LiteLLM is an LLM Gateway that simplifies model access, spend tracking, and fallbacks across 100+ LLMs. It provides developers with seamless access to models like OpenAI, Azure, Gemini, Bedrock, and Anthropic, all in the OpenAI format. LiteLLM helps platform teams manage authentication, load balancing, and cost tracking, saving time and reducing operational complexities.
How does LiteLLM handle cost tracking for LLM usage?
LiteLLM offers advanced cost tracking features, allowing teams to attribute usage to specific keys, users, teams, or organizations. It automatically tracks spend across providers like OpenAI, Azure, Bedrock, and GCP. You can log costs to S3/GCS and use tag-based tracking for granular insights, making it easier to manage budgets and chargebacks.
What are the key features of LiteLLM Enterprise?
LiteLLM Enterprise includes all open-source features plus enterprise support, custom SLAs, JWT authentication, SSO, and audit logs. It’s designed for large-scale deployments, enabling organizations to provide LLM access to many developers while maintaining security, compliance, and detailed usage tracking.
Can LiteLLM integrate with logging tools like Langfuse and OpenTelemetry?
Yes, LiteLLM supports integration with logging tools such as Langfuse, Langsmith, and OpenTelemetry. This allows teams to monitor LLM usage, track prompts, and analyze performance metrics, ensuring better observability and debugging capabilities.
How does LiteLLM ensure high availability and load balancing?
LiteLLM provides rate limiting (RPM/TPM) and load balancing across multiple LLM providers. This ensures high availability by automatically routing requests to available models or fallback options if a primary provider fails, minimizing downtime and optimizing performance.
Is LiteLLM compatible with OpenAI’s API format?
Yes, LiteLLM standardizes all LLM interactions in the OpenAI API format. This means developers can use the same codebase to interact with 100+ LLMs, eliminating the need for provider-specific adjustments and simplifying integration.
What LLM providers does LiteLLM support?
LiteLLM supports over 100 LLM providers, including OpenAI, Azure, Gemini, Bedrock, Anthropic, and many others. This broad compatibility ensures developers can access the latest models without vendor lock-in.
How can I deploy LiteLLM for my team?
LiteLLM can be deployed as an open-source solution using Docker or self-hosted for enterprise needs. The open-source version includes core features, while the enterprise version offers additional support, security, and scalability for large teams.
Does LiteLLM offer budget controls for LLM usage?
Yes, LiteLLM includes budget controls and rate limits to prevent overspending. Teams can set usage caps per user, project, or organization, ensuring costs remain predictable and within allocated limits.
Why do companies like Netflix use LiteLLM?
Companies like Netflix use LiteLLM because it simplifies LLM access, reduces integration work, and accelerates model adoption. As noted by Netflix’s Staff Software Engineer, LiteLLM saves months of development time by standardizing API calls and enabling quick access to new models.
Berri AI Company Information
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