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Routes Prompts to Best-Value LLMs

Codila says Jev analyzes LLMs and selects the best-value model for each prompt. The setup reportedly cut costs and time by ~80%.

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codilacodila@0xCodila𝕏
I found the "Internet" moment in using Jev Jev analyzed every LLM and chose the BEST-VALUE one for each prompt It cut my costs and time by ~80% - and it’s probably the best way to use Jev... here's how to setup it in 10 min: step 1 → open @typesafeai , create API key (keep it off chat paste) step 2 → store TYPESAFE_API_KEY in a local .env step 3 → clone the Github below, then npm install && npm test && npm run demo step 4 → test Jev before connecting an agent: npx tsx sdk-runner/cli.ts --route-only "Rename a button label" step 5 → dry-run first: npx tsx sdk-runner/cli.ts --dry-run "you
Sep 20, 2026X postsView on X
Codila recommends creating a Typesafe API key and storing it in a local .env file as TYPESAFE_API_KEY. The setup then uses a cloned GitHub project with npm install, npm test, and npm run demo. Codila suggests testing Jev with the route-only command before connecting an agent and dry-running first.

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