BerriAI/litellm - GitHub vs Legoai
Side-by-side comparison · Updated October 2026
| Description | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. | LEGOAI is a GenAI-powered analytics platform designed to empower business users by fusing business logic with advanced technology. The platform translates business requirements into machine language, providing explainable and precise insights rapidly and on a large scale. The company also focuses on creating a modern data and analytics ecosystem by leveraging GenAI, achieving significant productivity gains and accelerating analytics use cases. Furthermore, LEGOAI offers various pricing plans to cater to individuals, startups, SMBs, and enterprises, and is backed by a team of seasoned experts in AI and data engineering. |
| Category | Developer Tools | Data Analytics |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Free |
| Starting Price | N/A | N/A |
| Plans | — |
|
| Use Cases |
|
|
| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | GenAIanalyticsbusiness logicmachine languageinsights |
| Features | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support features | ||
| GenAI-powered analytics | ||
| Natural language interface | ||
| Automation to remove technical dependencies | ||
| Explainable AI | ||
| High-speed insights generation | ||
| Scalability | ||
| Various pricing plans | ||
| On-premise and cloud deployment options | ||
| Fine-tuned LLMs for specific domains | ||
| Advanced data and ML architecture | ||
| View BerriAI/litellm - GitHub | View Legoai | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with BerriAI/litellm - GitHub and Legoai.