Open-source LLM gateway offering unified access, cost tracking, fallbacks.
LiteLLM serves as a lightweight abstraction layer for managing large language models across diverse providers. It offers a single interface for calling multiple LLM APIs, enabling seamless integration into applications, internal tools, or AI platforms. Users can leverage streaming support, prompt standardization, and logging for observability, ensuring consistent and efficient AI performance.
The platform allows teams to track usage costs, enforce rate limits, and implement model fallback strategies, ensuring uninterrupted service in production environments. LiteLLM also provides tools for admin dashboards, guardrails, and developer-friendly APIs, making it easy to manage multiple models without technical friction.
By using LiteLLM, organizations gain centralized control over their AI infrastructure, simplify integration, and reduce operational overhead. It supports both cloud and on-premises deployments, empowering teams to scale AI applications reliably while maintaining transparency, security, and cost efficiency.
Unified API Gateway — Access over 100 LLMs from multiple providers through a single interface.
Cost Tracking — Monitor and log usage to maintain budgets and optimize spending.
Model Fallbacks — Ensure reliability with fallback strategies when models fail or reach limits.
Rate Limiting — Set budgets and control API call frequency per key, team, or project.
OpenAI-Compatible — Supports OpenAI-style prompt formatting for easier integration.
Logging & Observability — Integrates with Langfuse, Arize, or custom tools to monitor AI operations.
Guardrails & Compliance — Apply safety measures to control output and ensure ethical AI use.
Streaming Support — Handle real-time responses for chatbots, virtual assistants, or live applications.
Prompt Management — Standardize prompts and templates across all models for consistency.
Open Source — Full access with flexible deployment options, enabling customization and transparency.
Internal LLM Access — Centralize AI model access for engineering or research teams.
Cost Optimization — Track and reduce expenses across multiple LLM providers.
AI Operations Management — Monitor, log, and maintain AI workflows efficiently.
Model Integration — Easily integrate different LLMs into applications without rewriting code.
Real-Time Chat Applications — Power live chatbots or virtual assistants with streaming APIs.
Prompt Standardization — Maintain consistent prompt behavior across multiple models.
Enterprise Deployment — Enable secure, scalable AI infrastructure for internal teams.
Compliance Enforcement — Apply safety and ethical controls for AI outputs.
Developer Enablement — Provide developers with a simplified interface for experimentation.
Observability & Analytics — Gain insights into AI usage, latency, and performance.
Open Source — Free with full access to all core features.
Enterprise Plan — Custom pricing for large-scale deployments and premium support.
Premium Support — Available for enterprises requiring dedicated technical assistance.
Custom Integrations — Contact sales for API, cloud, or on-premises integration pricing.
Deployment Flexibility — Free for self-hosted deployments; enterprise cloud plans available.
Logging & Analytics Add-ons — Optional integrations may have additional costs.
Guardrail Extensions — Advanced compliance and moderation features may incur fees.
Streaming Optimizations — High-volume streaming applications may require customized enterprise plans.
Backed by Y Combinator.
Open-source and community-driven platform.
Supports 100+ LLMs across cloud and local environments.
Provides detailed cost tracking and monitoring.
Offers model fallback mechanisms for reliability.
Integrates with popular observability tools like Langfuse and Arize.
Facilitates real-time streaming applications.
Ensures rate limiting and guardrails for secure operations.
Scalable for enterprise deployments.
Developer-friendly APIs for rapid integration.
Q: What is LiteLLM?
A: LiteLLM is an open-source platform providing a unified API gateway to over 100 large language models.
Q: How does LiteLLM handle costs?
A: LiteLLM tracks usage per API key, user, team, or organization, helping manage budgets.
Q: Can LiteLLM support real-time applications?
A: Yes, LiteLLM supports streaming APIs for chatbots, virtual assistants, and live AI applications.
Q: Is LiteLLM compatible with OpenAI models?
A: Yes, it supports OpenAI-style prompts for easy integration.
Q: Can I deploy LiteLLM on-premises?
A: Yes, LiteLLM offers both cloud and self-hosted deployment options.
Q: What observability features does LiteLLM provide?
A: It integrates with Langfuse, Arize, or custom tools for monitoring API usage and performance.
Q: Are there enterprise support options?
A: Yes, enterprise plans include premium support and custom deployment assistance.
Q: How does model fallback work?
A: LiteLLM automatically switches to backup models when primary ones fail or reach limits.
Q: Is LiteLLM open-source?
A: Yes, LiteLLM is fully open-source and available for customization.
Q: Can I standardize prompts across models?
A: Yes, LiteLLM allows prompt management to maintain consistency across all LLMs.
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