BerriAI/litellm - GitHub vs Documate

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubDocumateDocumate
DescriptionLiteLLM 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.Documate is an open-source tool designed to integrate AI chat dialogue into your documentation site, enabling it to answer user queries based on your site's content. This tool supports seamless integration with popular frameworks such as VitePress, Docusaurus, and Docsify, and allows complete customization of its UI. It's easy to install and requires no prior knowledge of AI or large language models, making it accessible for developers of all levels. With Documate, you can maintain full control over your code and data, deciding which content to index.
CategoryDeveloper ToolsAI Assistant
RatingNo reviewsNo reviews
PricingOpen SourceFree
Starting PriceN/AFree
Plans—
  • Free — Free
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Documentation Developers
  • Technical Writers
  • Project Managers
  • Software Engineers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
open-sourceAI chatdocumentationintegrationquery answering
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
Seamless integration with popular documentation frameworks
No prior AI or LLM knowledge required
Complete customization and control
User-friendly UI
Full data and code ownership
Keyboard navigation and screen reader support
Serverless backend functions
Real-time query resolution
Support for multiple frameworks
Open-source and community-driven
 View BerriAI/litellm - GitHubView Documate

Modify This Comparison