New API vs Sensible Instruct
Side-by-side comparison · Updated October 2026
| Description | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. | The webpage titled 'Sensible Instruct' on sensible.so provides a comprehensive collection of CSS snippets aimed at enhancing web design and user interaction. These include adjustments for rich text element margins, pointer events control, container center alignment, among others. Each snippet is carefully crafted to resolve common layout issues, improve accessibility, and ensure a more consistent user experience across various devices. Additionally, the snippets offer utility classes for handling margin and padding, text truncation, and scrollbar removal, making it a valuable resource for web designers and developers. |
| Category | Developer Tools | DeveloperApplication |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Pricing unavailable |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | CSSWeb DesignUser InteractionWeb DevelopmentUtility Classes |
| Features | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| Rich text element margin adjustments | ||
| Pointer events control classes | ||
| Square dimension maintenance for div elements | ||
| Container center alignment | ||
| Typography style inheritance | ||
| Text line clamping | ||
| Inline flex display | ||
| Hide element classes | ||
| Comprehensive margin and padding utility classes | ||
| Text truncation | ||
| Scrollbar removal | ||
| Focus state styles for keyboard navigation | ||
| View New API | View Sensible Instruct | |
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