zhongyitang
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 10 Oct 2026. How this is checked
zhongyitang is an MIT-licensed Python package that automates local LLM environment setup, including mirror configuration, halogen and Strata installation, and ModelScope model fetching. It also provides an OpenAI-compatible gateway with multi-user quotas and rate limits for self-hosted deployments.
Inferred · not functionally tested
Overview
6 featuresPurpose: Setting up local LLM inference, models, and multi-user quota controls without manual configuration.
Inferred · not functionally tested
Audience: developers and teams operating local LLM infrastructure
Inferred · not functionally tested
Functions: agents, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Inference & model serving space, zhongyitang takes a focused approach. Inferred · not functionally tested: It focuses on setting up local LLM inference, models, and multi-user quota controls without manual configuration. Inferred · not functionally tested: zhongyitang is an open-source project aimed at developers and teams operating local LLM infrastructure. Basis unknown · not verified: zhongyitang is open source under the MIT license. Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.
It is developed by CodeOfMe, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include mirror setup, LLM installation, and model fetching. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Mirror setup
- LLM installation
- Model fetching
- Quota gateway
- Rate limiting
- OpenAI compatibility
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
7What PulseGate has recorded for this listing
- Indexed10 Oct · 16:04 UTCzhongyitang seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about zhongyitang
- What does zhongyitang do?
- Inferred · not functionally tested: Zhongyitang focuses on setting up local LLM inference, models, and multi-user quota controls without manual configuration. It is catalogued under Inference & model serving on PulseGate.
- Who is zhongyitang for?
- Inferred · not functionally tested: zhongyitang is an open-source project built for developers and teams operating local LLM infrastructure.
- Does zhongyitang have a free plan?
- Basis unknown · not verified: Yes — zhongyitang is open source under the MIT license and free to use.
- What platforms does zhongyitang run on?
- Basis unknown · not verified: zhongyitang runs on the command line and API. It can also be self-hosted.
- Is zhongyitang still maintained?
- Unverified. zhongyitang has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What projects are similar to zhongyitang?
- Similar projects tracked by PulseGate include llmroutes, yonga, and freewhirr.llmroutesyongafreewhirr
- Who develops zhongyitang?
- zhongyitang is developed by CodeOfMe.
- When did zhongyitang launch?
- zhongyitang first shipped in 2026.
Also in Inference & model serving
Same category — not a similarity match