Unverified50% confidenceFactExact time
The author's LLM agent runs on localhost, exposes OpenAI- and Anthropic-compatible endpoints, uses Aho-Corasick string matching for keyword routing with microsecond-level overhead, and shares the same crate as the knowledge graph.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedAnthropic uses an explicit cache-marking scheme, OpenAI uses a server-side automatic identification strategy, and DeepSeek achieves fully transparent automatic caching through prefix hash matching.69% similarUnverifiedThe author packaged this routing logic into an OpenAI-compatible LLM Chat API offering three tiers — auto, eco, and premium — with the auto tier encoding the capability-first rules.68% similarUnverifiedCommonly used embedding models include OpenAI's text-embedding-ada-002 and the locally runnable sentence-transformers.66% similarUnverifiedThe trimming code in the article can be used with any OpenAI-compatible endpoint, and the author's traffic data comes from Qubax, an API service that is OpenAI-compatible and aggregates 400+ models.66% similarUnverifiedMeta的LlamaGuard和OpenAI的内容审核API采用类似的守门人分类器架构65% similar
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