LiteLLM
Open-source AI gateway for multi-model access and governance.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Berrie AI Incorporated
- Entity type
- COMPANY
- Founded
- 2023
- Headquarters
- United States
- Company size
- 10–49
- Market role
- B2B SaaS Provider
- Official website
- litellm.ai
What LiteLLM does
LiteLLM creates value by abstracting fragmented LLM provider APIs into a single operational layer for enterprise AI applications. Its core product reduces integration complexity, improves control over spend and routing, and adds governance for production deployments. The business model is open-core: widespread developer adoption of the free gateway seeds usage inside organisations, then enterprise buyers pay for commercial features such as SSO, audit logs, access controls, support and scaled deployment capabilities.
Category differentiation
LiteLLM is not a foundation model developer and does not train its own frontier LLMs. It is the middleware and governance layer used to access, route and control third-party model providers.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
LiteLLM is a US-based B2B software company operating under the legal entity Berrie AI Incorporated. It provides an open-source AI gateway and LLM proxy that standardises access to a wide range of model providers through a single OpenAI-compatible API. The platform is used by engineering and platform teams to route requests, enforce budgets and rate limits, monitor usage, and reduce vendor lock-in across production AI systems. The company monetises through an open-core model. Its free open-source gateway drives adoption, while the commercial enterprise offering sells governance, security, audit logging, authentication, support and deployment features to larger organisations. Its direct customers are platform engineering teams, ML engineers, DevOps teams, and enterprise AI teams running LLM-powered applications at scale, particularly where cost control, compliance and operational reliability matter.
Company news briefing
Briefing updated:
LiteLLM has further advanced its auto-routing capabilities with LiteLLM Fusion and shadow evaluation features, achieving significant cost reductions and task-solving improvements on benchmark workloads. Alongside these routing optimizations and the introduction of a new ROI calculator, the platform continues to address production security challenges following industry audits that identified vulnerabilities linked to Model Context Protocol implementations.
Business model & monetisation
LiteLLM uses open-core monetisation. The base gateway is free and open-source, which drives adoption through self-hosted deployments and developer usage. Revenue is generated from the enterprise offering through custom-priced software subscriptions tied to governance, audit logging, access control, support and deployment requirements. Commercial pricing is negotiated for scale, security and compliance needs rather than sold as a simple fixed self-serve plan.
- Enterprise software subscriptions
- Software Subscription
- Premium support and managed enterprise services
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Technology
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Introducing the LiteLLM ROI Calculator
Recorded impact score: 2/5
Compare each engineer's LiteLLM gateway spend with the estimated effort of their merged pull requests. Open source and self-hosted.
Auto Router: 45% Lower Cost on 25 SWE-bench Tasks
Recorded impact score: 4/5
We solved 23 of 25 SWE-bench Verified tasks with LiteLLM's experimental capability router for $11.15, compared with $20.27 using Opus 5.
Introducing LiteLLM Fusion: 56% More Tasks Solved Than Fable 5
Recorded impact score: 4/5
LiteLLM Auto Router Fusion ran three models on the same task and synthesized their work, solving 14 of 21 Terminal-Bench tasks against 9 for Claude Fable-5 alone. Total spend rose 36%, cost per solved task fell 12%, and turn latency went up 5x.
Configure LiteLLM as Codex Model Provider
Large Language Models (LLM) & AI · Recorded impact score: 1/5
A developer guide demonstrating how to route Codex to use LiteLLM as a custom model provider. The post explains exposing a LiteLLM API key as an OS environment variable, updating Codex's .codex/config.toml to set model_provider to 'litellm' and add provider-specific fields (base_url, env_key, wire_api, streaming options), setting optional custom HTTP headers, and noting that session models are fixed at session creation. The author also advises verifying usage via LiteLLM dashboard logs and links to LiteLLM and Codex documentation for reference.
- Author Julia Shevchenko published a how-to on dev.to on 2026-08-28 about configuring LiteLLM as a gateway for Codex.
- LiteLLM exposes an OpenAI-compatible interface and can act as a gateway for LLMs.
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Questions about LiteLLM
What is LiteLLM?
LiteLLM is an open-source AI gateway and enterprise LLM proxy that provides one API for accessing and governing multiple model providers.
Who uses LiteLLM?
Platform engineering teams, ML engineers, DevOps teams and enterprise AI teams use LiteLLM to manage production LLM workloads.
How does LiteLLM make money?
LiteLLM makes money through custom-priced enterprise subscriptions and support built on top of its free open-source gateway.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
21 publicly documented primary sources and citations linked across the market graph.
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