Qingcheng Jizhi pitches a full-stack Token infrastructure for the agent economy
新智元 · wechat · 2026-07-21
The article describes Qingcheng Jizhi’s “front shop, back factory” Token infrastructure stack for the agent era.
Three layers
- Back factory: token production with a custom inference engine called Chitu plus the Bagua Furnace software stack.
- Middle layer: AIPing, a neutral token routing and benchmarking platform that monitors dozens of providers and hundreds of model endpoints around the clock.
- Front layer: AgentStore and ATM (AgentTokenManager) for agent distribution, metering, cost allocation, and resource isolation.
Key claims
- The stack is designed to solve unstable APIs, poor portability of foreign inference engines on domestic GPUs, and opaque multi-agent costs.
- The company emphasizes neutrality across heterogeneous Chinese accelerators.
- It also argues that idle domestic compute could be turned into exportable token supply for overseas developers.
The piece presents this as a full-stack infrastructure play for China’s AI agent ecosystem, not just a single product.
More from coding & agent
- Treating agents like 50 First Dates: a 3-layer context system so every conversation doesn't start from zero — evielync · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11
- ARRM targets silent economic regressions in AI agents that functional tests miss — Beautiful_Belt_601 · 2026-09-11
- Dev builds browser 3D pizza delivery game with Claude: physics, GPS pathfinding, traffic AI — vinishkapoor · 2026-09-11
- Build X Carousel Posts from One Wide Image: A Splitter Tool Plus YouMind Skill Workflow — sujingshen · 2026-09-11
- "Anyone still coding the old way?" The joke capturing post-AI programming culture — lxfater · 2026-09-11