AI Briefingsie: Unified Serving of 100 Models for Agents via a Single API
superlinked/sie
About the project
Search, document conversion, structured output, content safety, and agent loops are handled through a single API. This eliminates the hassle of spinning up separate model servers for each task and optimizes resources by loading models only when needed.
It supports OpenAI-compatible endpoints, enabling immediate integration without modifying existing code. It provides over 100 models, including Stella, Qwen3, and GLiNER, through a pre-configured catalog, and supports integration with major frameworks like LangChain and LlamaIndex, as well as vector databases.
Production environment deployment is automated via Kubernetes and Helm charts. Designed for stable management of agent backend infrastructure in cloud environments, it includes KEDA-based autoscaling and Grafana dashboards.
superlinked/sie
Open-source inference server and production cluster for all the models your agent needs.
Python
This introduction was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report errors, attribution issues, or removal requests via Contact.