New API vs Prompt Refine
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. | Prompt Refine is a sophisticated tool designed to help users conduct prompt experiments across multiple AI models like OpenAI, Anthropic, and Cohere. It allows users to make small adjustments to their prompts and observe varying results, storing each prompt run for future comparisons. The platform supports the organization and sharing of prompt groups, the utilization of variables, and the export of data to CSV for further analysis, eliminating the need for an API key if using provided models. |
| Category | Developer Tools | Prompt Guides |
| 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 | prompt experimentsOpenAIAnthropicCohereprompt adjustments |
| 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 | ||
| Compatibility with multiple AI models | ||
| Prompt history tracking for detailed comparisons | ||
| Variable creation and reuse | ||
| Organization and sharing of prompt groups | ||
| Data export to CSV | ||
| No API key required if using provided models | ||
| View New API | View Prompt Refine | |
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