questions: { window: choice, source_reddit: boolean, plain: boolean, }
jev-search
Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.

Every project here really calls Jev in its source · refreshed daily
questions: { window: choice, source_reddit: boolean, plain: boolean, }
Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.
questions: { beauty: boolean, cat: choice, }
grep for what code does, not what it's called. Semantic code search powered by TypeSafe Jev.
questions: { routine: boolean, }
SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded.
questions: { confidentiality: choice, }
JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
questions: { states_application_instruction: boolean, }
Upwork job classification example
const url = `${opts.baseUrl ?? 'https://api.typesafe.ai'}/v1/systemone`Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page.
res = await fetch('https://api.typesafe.ai/v1/systemone', {grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる
Self::Typesafe => "https://api.typesafe.ai/v1/systemone",
Semantic grep: find code by describing what you're looking for, powered by Jev.
endpoint: "https://api.typesafe.ai/v1/systemone".into(),
Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
import { choice, TypeSafeClient, type Usage } from "@typesafe-ai/sdk";Codebase search powered by Jev from @typesafe-ai
"typesafe": Backend("typesafe", "https://api.typesafe.ai/v1/systemone", "jev-latest", "TYPESAFE_API_KEY"),grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.
from typesafe_sdk import Noul, RetryPolicy, TypeSafeClient
Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.
MODEL = "typesafe/jev-1.13"
Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts
const API_URL: &str = "https://api.typesafe.ai/v1/systemone";
Fast semantic code search powered by Jev. Find the relevant files, line ranges, and snippets
const baseUrl = options?.baseUrl ?? process.env.TYPESAFE_API_BASE ?? "https://api.typesafe.ai/v1";
Local-first test selector using Jev judgments to determine which tests are affected by a code change
else env("TYPESAFE_ENDPOINT") or "https://api.typesafe.ai/v1/systemone"Jev-powered relevance filtering and reranking for RAG in Python.
API_URL = "https://api.typesafe.ai/v1/systemone"
Ask a yes/no question of every function in a codebase. Ranked answers in seconds, for cents. Grep whose pattern is a question, powered by TypeSafe Jev.
"""OpenRouter Decisions API transport for Jev (not TypeSafe /v1/systemone)."""
LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.
* TypeSafe's native API — POST https://api.typesafe.ai/v1/systemone, key
Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.
'typesafe': ('https://api.typesafe.ai/v1/systemone', 'jev-1.13.0')}Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
DEFAULT_MODEL = "~typesafe/jev-latest"
Classify C/C++ snippets via TypeSafe Jev through OpenRouter.
public const string Endpoint = "https://api.typesafe.ai/v1/systemone";
Flow Launcher predictive file search with Jev intent reranking. Type natural language like 'the pdf I just downloaded' and get the right file.
const response = await fetcher("https://api.typesafe.ai/v1/systemone", {Recursive semantic file search using TypeSafe Jev and fzf
std::string api_url = "https://api.typesafe.ai/v1/systemone";
Natural-language row filtering for MySQL, powered by TypeSafe Jev.
DEFAULT_MODEL = "typesafe/jev-1.13"
Instant semantic code search: local ripgrep shortlist, meaning-ranked by TypeSafe Jev via OpenRouter.