#84 · Primary category: AI Gateway & API Infrastructure

AIHelms

agent ai-gateway ai-management ai-observability aihub claude cost-control deepseek docker enterprise-ai fastapi llm-governance mcp model-gateway openai skill-management skillspector token-hub tokenhub vue3

企业级 AI 资源纳管平台,提供统一 AI网关、Token调度能力,纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型,并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表,帮助企业精准控制成本、量化 ROI,高效治理 AI 资产。

Project last updated:08/26/26

GitHub Stars

1.0K

Forks

102

Contributors

3

License

GPL-3.0

Why we included this project

AIIHelms suits a company that already wires several providers into one backend and ends up juggling separate API keys, price sheets, and usage dashboards per vendor. The gateway itself routes to OpenAI, Azure, Anthropic, DeepSeek, and self-hosted vLLM or SGLang endpoints; the value sits in the layer wrapped around it. Every call carries token-level accounting, internal and external price tracks are billed separately so you can charge departments an internal rate, and budgets work per person, per project, and per model with soft warnings plus hard cutoffs. It also gives each employee a single API key for all models and runs a central registry for approving and distributing MCP servers and skills. If the nagging question is where the spend went and who is allowed to call what, this is a practical governance layer to examine.

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