BerriAI/litellm - GitHub vs Sprig
Side-by-side comparison · Updated October 2026
| Description | LiteLLM 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. | The webpage offers multiple CSS snippets designed to enhance the visual and interactive experience on websites. These snippets include functionality for text smoothing to improve readability, defining focus states for better keyboard navigation, adjusting margins for rich text elements, controlling pointer events, ensuring persistent alignment of containers, styling focused input fields, customizing Sprig feedback button styles, adding custom shadow effects, styling slider dots, defining margins for blockquotes, and styling rich text links for desktop, tablet, and mobile devices. Additionally, navigation styles specific to dropdown menus are provided. |
| Category | Developer Tools | Web Development |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Pricing unavailable |
| Starting Price | N/A | N/A |
| Use Cases |
|
|
| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | CSStext smoothingkeyboard navigationmarginspointer events |
| 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 | ||
| Text smoothing for better readability | ||
| Focus states for keyboard navigation | ||
| Rich text margin adjustments | ||
| Pointer events control | ||
| Container alignment | ||
| Input focus style | ||
| Sprig feedback button customization | ||
| Custom shadow styles | ||
| Slider dot styles | ||
| Blockquote margin settings | ||
| Rich text link styles for desktop, tablet, and mobile | ||
| View BerriAI/litellm - GitHub | View Sprig | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with BerriAI/litellm - GitHub and Sprig.