OpenRouter Classifiers can use typesafeai's Jev to classify LLM requests
OpenRouter Classifiers can automatically classify LLM requests using typesafeai's Jev. Classification uses Classifiers, and the results can be analyzed in Explore.
Related AI news
OpenRouter says solar-decide beats Jev 1.13 on JevBench accuracy and latency
On JevBench, OpenRouter says solar-decide scored 87.0% accuracy versus 86.1% for Jev 1.13, with a median latency of 0.14 seconds versus 0.30 seconds.
OpenRouter says Jev took 27% of weekly classification requests
OpenRouter says Jev accounted for 27% of weekly classification request volume, nearly twice the share of DeepSeek V4 Flash, which previously led that category.
OpenRouter introduces typesafe/jev-router, a cache-aware model router
OpenRouter has introduced typesafe/jev-router, a cache-aware model router powered by Jev and typesafeai. OpenRouter says it selects the best model and reasoning effort for each request while balancing quality, speed, and cost.
Kev uses the same OpenRouter API as Jev
OpenRouter says developers already calling Jev can switch to Kev by changing only the model field to jaredpalmer/kev-4b.
OpenRouter adds Perplexity Decider v1.1 with free output
OpenRouter has integrated Perplexity AI's open-weights multimodal decision model, Perplexity Decider v1.1 (pplx-decider-v1.1-27b). The model is priced at $0.02 per million input tokens with free output.