Overview Features Screenshots & Demo Use Cases Reviews FAQ Pricing Integrations

What is LiteLLM?

Who It's For

This tool is for developers and platform teams needing to give many users or projects access to various AI models. It helps companies quickly provide the latest AI models to their teams, simplifying AI management in larger setups.

What You Get

You get one simple way to connect to over 100 different AI models, including OpenAI, Azure, and Anthropic. It helps track costs, set spending limits, and manage model access. You also benefit from automatic backup models and consistent error handling.

How It Works

LiteLLM acts as a central gateway. You install it, set up your AI provider keys, and then use one standard API format (like OpenAI's) to send requests. It handles complex tasks behind the scenes, such as switching models, logging usage, and managing requests.

Features & Capabilities

🔗 LLM Gateway & Integrations

Universal LLM Access

Provides unified access to over 100 LLM providers including OpenAI, Azure, Gemini, and Anthropic.

OpenAI API Compatibility

Standardizes all LLM interactions to the OpenAI API format, simplifying integration for developers.

LLM Fallbacks

Automatically switches to alternative LLMs in case of model failures or unavailability to ensure continuous service.

Load Balancing

Distributes requests across multiple LLMs to optimize performance and ensure high availability.

💰 Cost & Usage Management

Comprehensive Spend Tracking

Automatically tracks and reports LLM usage costs across all integrated providers.

Budget Enforcement

Allows setting and enforcing budgets for LLM consumption at various organizational levels.

Granular Cost Attribution

Attributes LLM costs to specific keys, users, teams, or organizations for accurate chargebacks.

S3/GCS Logging for Spend

Logs detailed spend reports to cloud storage like S3 or GCS for auditing and analysis.

⚙️ Performance & Control

Rate Limiting

Implements requests per minute (RPM) and tokens per minute (TPM) limits to prevent abuse and manage traffic.

LLM Guardrails

Applies safety and compliance rules to LLM interactions, filtering inappropriate content or behavior.

Prompt Management

Provides tools for managing and formatting prompts, including support for Hugging Face models.

Batches API

Enables processing multiple LLM requests in a single batch for improved efficiency.

📊 Observability & Security

LLM Observability

Offers comprehensive monitoring and insights into LLM performance and usage.

Advanced Logging Integrations

Integrates with popular logging platforms like Langfuse, Arize Phoenix, Langsmith, and OTEL.

Secure Access Control

Provides JWT authentication, Single Sign-On (SSO), and virtual keys for secure LLM access.

Audit Logs

Maintains detailed audit trails of all LLM interactions and system activities for compliance.

Screenshots & Demo

See LiteLLM in action with screenshots and video demonstrations

Product Screenshots

LiteLLM

Unified LLM gateway: 100+ models, one simple integration

Ready to see more?

Experience LiteLLM firsthand with a free trial or schedule a personalized demo.

Start Free Trial

Real-World Use Cases

Streamlining Multi-LLM Integration for Application Development

Developers often face complexity when integrating various LLMs into their applications due to differing APIs and formats. LiteLLM provides a unified, OpenAI-compatible API gateway, enabling seamless access to over 100 LLMs and significantly reducing integration time and effort.

Industry: Technology • User Type: Software Developers

Centralized Cost Control and Budgeting for AI Initiatives

Managing and attributing LLM costs across various teams and projects can be challenging for organizations. LiteLLM provides robust spend tracking, budget enforcement, and rate limiting capabilities, empowering platform teams to gain full visibility and control over their AI expenditures.

Industry: Enterprise Software • User Type: Platform Teams

Enhancing AI Application Reliability with Automated Fallbacks

Ensuring the continuous operation and resilience of AI applications is critical, especially when relying on external LLM providers. LiteLLM offers automated LLM fallbacks, standardized error handling, and retry mechanisms, allowing applications to gracefully manage provider outages or performance issues and maintain service availability.

Industry: Technology • User Type: AI/ML Engineers

Rapid LLM Onboarding and Access for Enterprise Developers

Platform teams often face significant overhead in integrating and making new LLM models available to their developers. LiteLLM streamlines this process by standardizing API access, logging, and authentication across all models, enabling platform teams to provide day-zero access and accelerate innovation within the organization.

Industry: Enterprise Software • User Type: Platform Teams

Frequently Asked Questions

Need more information?

For specific questions about LiteLLM, pricing, or technical support, please contact the LiteLLM team directly through their official website.

Visit LiteLLM Website

Specifications

Available via:

API

Browser

Cloud

Built for:

Individual

Startup

Business

Enterprise

Complexity:

Developer

Programming knowledge required

Pricing Plans

Open Source

Free plan with basic features

Free

100+ LLM Provider Integrations
Langfuse, Arize Phoenix, Langsmith, OTEL Logging
Virtual Keys, Budgets, Teams
Load Balancing, RPM/TPM limits
LLM Guardrails

Enterprise

Best for growing teams

Custom

pricing

Includes all features from the Open Source plan
Enterprise Support + Custom SLAs
JWT Auth, SSO, Audit Logs
All Enterprise Features - Docs

✓ Free plan • ✓ Enterprise options

Integrations

Azure

Gemini

Bedrock

OpenAI

Anthropic

GCP

Links

www.litellm.ai