Connect to multiple LLMs with a single line of code. Monitor expenses, optimize usage, and seamlessly route to the most suitable model—all within one powerful platform.
Monitor and Optimize your LLM usage
across providers with a unified API
Take full control of your organization's LLM costs. Track spending across use cases and leverage smart routing to achieve up to 60% immediate savings.
LangDB automatically collects and provides data for all LLM interactions. Deploy optimized, fine-tuned multi-shot models with just a few clicks.
Easily switch between major LLMs, Hugging Face and open source models and always keep up with the latest advancements.
Bring your own keys or go key-free
Start using LangDB with all major LLMs — no keys required. For enhanced optimization with specific models, you can to bring your own keys.
Integrate instantly without rewriting code—simply change your API URL and start leveraging the LangDB AI gateway. This ensures compatibility with your existing code and eliminates friction for developers. Spend less time on integration and more time building.
Choose between static routing for predictable workflows or dynamic routing to optimize performance and costs. Requests can be directed to specific models or automatically routed to the most efficient model, resulting in upto 40% savings.
Gain detailed visibility into your LLM usage and spending with real-time analytics. Set restrictions and enforce cost controls to prevent overages and optimize resource allocation.
Gain complete visibility into your AI agent workflows with detailed logging of every request, response, and tool invocation. Debug efficiently, track the full lifecycle of tasks, and optimize performance with actionable insights. Monitor how tools are used in workflows to ensure reliability and identify improvement areas.
Speed up responses and minimize costs with built-in caching for frequently used prompts and results. This feature reduces redundant processing, improves system performance, and ensures a seamless user experience, especially in high-demand scenarios.