BerriAI/litellm - GitHub vs Windframe

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubWindframeWindframe
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.Windframe is an AI-driven Visual Tailwind builder and editor tailored for quick prototyping and constructing visually impressive webpages using Tailwind CSS. It significantly accelerates web development processes, enabling users to complete projects in mere minutes. The platform supports creating designs from scratch or utilizing its diverse library of over 1000 templates. With AI features that automate design tasks and tools for building dashboards, Windframe ensures a refined and rapid design workflow, including easy code export/import and extensive customization options.
CategoryDeveloper ToolsWebsite Builder
RatingNo reviewsNo reviews
PricingOpen SourcePricing unavailable
Starting PriceN/AN/A
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Web Developers
  • UI/UX Designers
  • Project Managers
  • Freelancers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
AI-drivenVisual BuilderTailwind CSSPrototypingWebpages
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
AI-driven Visual Tailwind builder
Over 1000 Tailwind CSS templates
Responsive design automation
Element alignment automation
Dark/light mode variants generation
Dashboard and admin web app tools
Easy code export in multiple formats
Import existing projects for editing
Extensive customization options
Seamless switching between coding and visual building
 View BerriAI/litellm - GitHubView Windframe

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