New API vs SQLtroughAI
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 SQLThroughAI platform offers a comprehensive suite of AI-driven tools designed to simplify SQL queries and data analysis. By leveraging advanced AI technology, SQLThroughAI helps users efficiently manage and analyze large datasets with greater precision and speed. This platform caters to both novice and seasoned professionals, providing intuitive solutions for complex data challenges. It enhances productivity by automating routine tasks and offering intelligent insights derived from data patterns. |
| Category | Developer Tools | Natural Language Processing |
| 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 | AISQLdata analysisproductivityautomation |
| 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 | ||
| AI-driven SQL query simplification | ||
| Comprehensive data analysis tools | ||
| Enhanced data precision and speed | ||
| User-friendly interface | ||
| Automated routine SQL tasks | ||
| Intelligent insights from data patterns | ||
| Suitable for various user expertise levels | ||
| Efficient large dataset management | ||
| Boosts productivity | ||
| Integrates with existing applications | ||
| View New API | View SQLtroughAI | |
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