🚀 Introducing CapLine AI Gateway | Self-Hosted Edition
Managing multiple AI providers can quickly become complicated.
Different credentials, model configurations, routing policies, and usage metrics can make AI infrastructure difficult to organize.
At CapLine AI Studio, I've been developing CapLine AI Gateway, a self-hosted solution designed to centralize these operations.
⚙️ What does it offer?
- Multi-provider architecture: Manage integrations with AI providers such as OpenAI, Anthropic, Google Gemini, Groq, and others.
- Configurable routing: Define model selection policies, destinations, and supported fallback strategies.
- Centralized Control Plane: Manage clients, credentials, providers, and configurations through a web interface.
- Usage visibility: Monitor token consumption, estimated costs, and operational analytics.
- Self-hosted deployment: Run the software on your own infrastructure.
The software is distributed as a one-time purchase with source code.
Hosting, provider accounts, and API credits are not included.
💻 Learn more: https://caplineaistudio.gumroad.com/l/ljybzh
💬 For developers: How do you currently handle multiple AI providers and model routing in your projects?
I'd love to hear about your approach!
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