BerriAI/litellm - GitHub vs Knit
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. | PromptKnit is a comprehensive AI playground designed for prompt designers. The platform offers a variety of professional prompt editors compatible with models such as GPT-4o, Claude-3-Opus, and Gemini-1.5-Pro. Key features include function call simulations, an intuitive user interface for project and prompt management, and robust security protocols like RSA-OAEP and AES-256-GCM encryption. Users can choose from free or paid subscription plans that offer various levels of access and support, including priority customer service and extensive project and prompt options. |
| Category | Developer Tools | Natural Language Processing |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | $7/mo |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | AI playgroundprompt editorsGPT-4oClaude-3-OpusGemini-1.5-Pro |
| 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 | ||
| Professional prompt editors | ||
| Supports GPT-4o, Claude-3-Opus, Gemini-1.5-Pro models | ||
| Function call simulation | ||
| RSA-OAEP and AES-256-GCM encryption | ||
| Free and paid subscription plans | ||
| Project management and collaboration | ||
| Code export functionality | ||
| Prompt history tracking | ||
| API parameter settings | ||
| Feedback-driven development | ||
| View BerriAI/litellm - GitHub | View Knit | |
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