Route questions dynamically to the fastest, most cost-effective models while scraping the web in real-time. Optimize tokens, control keys, and ingest document vectors.
Enterprise-grade multi-model API router and cited web search orchestration built on secure, scalable nodes.
Aggregates 16+ models under a single request schema. Auto-routes queries based on real-time latency thresholds and token economics.
Scrapes websites concurrently to build highly contextual prompt injections. Resolves references with citation badges in the response.
Concurrently uploads and indexes PDF, DOCX, and CSV spreadsheets. Embeds vectors into pgvector nodes for isolated workspace search.
Gracefully downgrades requests to local Ollama containers when commercial API limits or balances are exceeded, keeping operations alive.
Exposes unified OpenAI-compliant completions endpoints, allowing developers to integrate their custom client scripts in seconds.
Tracks latency, token usage, accuracy metrics, and costs grouped by model in a secure dashboard layout.