BerriAI/litellm - GitHub vs Dewstack

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubDewstackDewstack
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.Dewstack is an all-in-one platform for creating, managing, and hosting AI-powered documentation such as Knowledge Bases, User Manuals, SOPs, and more. It is trusted by over 500 businesses worldwide and is highly esteemed for its ease of use, customization options, and time-saving features like importing from Word and embedding content from other platforms. Users can choose from various pricing plans, including Lite, Starter, Pro, and Premium, each with its set of features to cater to different documentation needs ranging from personal use to enterprise-grade solutions.
CategoryDeveloper ToolsContent Creation
RatingNo reviewsNo reviews
PricingOpen SourcePaid
Starting PriceN/A$10/yr
Plans—
  • Lite Plan — $12/mo
  • Lite Plan (Annual) — $10/yr
  • Starter Plan — $29/mo
  • Starter Plan (Annual) — $19.9/yr
  • Pro Plan — $59/mo
  • Pro Plan (Annual) — $34.9/yr
  • Premium Plan — $99/mo
  • Premium Plan (Annual) — $69.9/yr
  • Custom Solutions — Pricing unavailable
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Startups
  • Freelancers
  • Enterprises
  • Product Managers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
AI-powered documentationKnowledge BasesUser ManualsSOPseasy to use
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-powered documentation
Multi-channel publishing
Advanced search with AI
Collaborative editing
Content import from multiple formats
Highly customizable
Intelligent Q&A bot
Dedicated landing pages
Structured ordering
Analytics for knowledge gaps
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