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gatellm
by 太乙星辉科技
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An AI API gateway that translates and routes requests across OpenAI, Anthropic, Gemini, and Bedrock
GateLLM is an Enterprise Multi Model Gateway that delivers "Same Results. One Tenth the Cost." It unifies 100+ LLM providers—OpenAI, Anthropic, Google, DeepSeek, Qwen, and more—through a single interface with bidirectional conversion across four protocols (OpenAI / Anthropic / Gemini / DashScope), covering chat, image, speech, video, realtime voice, embedding, and rerank. Fully self hosted via Docker or Kubernetes, it supports Xinchuang infrastructure and MLPS Level 3 compliance. Integration requires only redirecting your SDK's base_url—no code rewrite.
Core Value
Built on a capability normalization layer that unifies tool calling, structured output, prompt caching, reasoning tokens, multimodal formats, and billing, GateLLM delivers three differentiators. Composition assigns the best model per workflow step—Claude Opus for planning, open SOTA models for execution—with enforceable plan/execute mode policies. Ensemble fans out one call to N models and aggregates via voting/judging, boosting accuracy and redundancy in high risk scenarios. Token Ops provides cost attribution, budget alerts, hard quotas, rate limiting, and audit trails. Savings compound from BYOK zero markup, ~90% execution on open models, and 50–90% cache discounts. At 1B tokens/day, cost drops from ~$338K to ~$35K monthly with 97% capability retained.
Target Customers
GateLLM serves four segments: large scale AI consumers with six figure monthly API bills; compliance heavy enterprises in finance, healthcare, and government needing GDPR/CCPA/DPA and MLPS Level 3 with on prem data; organizations requiring production grade multi model reliability; and enterprises scaling AI across teams needing unified governance.
Industry Fit
Proven in financial services (90%+ cost reduction at a top tier investment firm), applicable to healthcare (clinical decision support via Ensemble), e commerce (cost efficient content generation), manufacturing (Xinchuang enabled industrial AI), software development (GitHub Actions code review via own gateway), and government (Level 3 compliant policy Q&A and document processing).
At a glance
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