RunInfra
RunInfra is an API gateway offering open-weight language models with session-aware caching to cut inference costs for AI
The Problem
Teams building AI agents make repeated calls within the same session, but without smart routing, repeat calls often land on a different server replica than the one holding the cached context, so the cache misses. The text states that without routing, a repeat call lands warm only one time in four. This means agents pay full list price for input tokens that should have been cheap cached hits, and output speed suffers because requests are not routed to a warm replica. Developers juggling multiple model providers also need separate integration work for each SDK.
The Solution
RunInfra provides a single API key compatible with both the OpenAI and Anthropic SDKs, giving access to a library of open models such as DeepSeek V4.1 Flash, GLM 5.3 Flash, Nemotron 3.5 Lightning 30B, Qwen3.8 27B, and Ornith 1.5 35B. Its session-aware routing automatically sends repeat calls from the same agent session to the replica already holding the cached context, without requiring a routing hint, using the conversation or workspace to detect sessions. The site publishes per-model measured cache-hit rates (ranging roughly 92.7% to 99.7% in the last 24 hours) and shows an 'effective input rate' that is several times lower than list price as a result. It also offers a CLI and coding-agent setup flow that auto-configures tools like Claude Code, Codex, OpenCode, Cline, Droid, and Grok Build, plus coding plans starting at $10 a month. Security claims include no prompt storage by default, TLS and AES-256 encryption, workspace roles with row-level security, no training on customer data, and SOC 2 Type II attestation.
