BerriAI/litellm - GitHub vs Devin AI

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubDevin AIDevin AI
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.Devin AI, developed by Cognition Labs, is a groundbreaking autonomous AI software engineer designed to democratize software development, making it more accessible and efficient. As a comprehensive AI partner, it can manage entire projects from ideation to deployment, featuring autonomous coding, project management, and continuous learning. It autonomously codes, debugs, and deploys applications, integrating seamlessly with tools like GitHub and Slack to boost team productivity. Renowned for its advanced machine learning and collaboration features, Devin AI helps developers focus on complex, creative tasks while automating routine programming chores.
CategoryDeveloper ToolsAI Assistant
RatingNo reviewsNo reviews
PricingOpen SourcePaid
Starting PriceN/A$500/mo
Plans—
  • Team Plan — $500/mo
  • Enterprise Plan — Contact for pricing
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Software Engineers
  • Web Developers
  • Data Analysts
  • Project Managers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
AISoftware EngineeringProject ManagementMachine LearningAutomation
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
Autonomous task execution
Integrated developer tools
Multi-language support
Collaborative capabilities
Advanced reasoning and planning
Continuous learning and adaptability
Code generation and debugging
Integration with existing tools
Performance benchmarks
Natural language processing
 View BerriAI/litellm - GitHubView Devin AI

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