BerriAI/litellm - GitHub vs Presto

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubPrestoPresto
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.Presto uses various types of cookies to enhance user experience, serve personalized ads, and analyze traffic. The cookie categories include Necessary, Functional, Analytics, Performance, and Advertisement. Necessary cookies are required for basic site features, Functional cookies help with sharing and feedback, Analytics cookies gather visitor interaction data, Performance cookies track website performance metrics, and Advertisement cookies offer customized ads. Users can manage their consent preferences through a detailed cookie consent form.
CategoryDeveloper ToolsOther
RatingNo reviewsNo reviews
PricingOpen SourcePricing unavailable
Starting PriceN/AN/A
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Privacy-Conscious Users
  • E-commerce Shoppers
  • Website Administrators
  • Advertisers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
user experiencepersonalized adsanalyze trafficcookie consentNecessary cookies
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
Necessary cookies for basic site functions
Functional cookies for social sharing and feedback
Analytics cookies for visitor interaction data
Performance cookies for website performance metrics
Advertisement cookies for personalized ads
Detailed cookie consent form
Customizable cookie preferences
Non-storage of personally identifiable data
Consent options: Accept All, Save Preferences, Reject All
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