Automated README summary
Automatically summarized from the README on 16 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Jevaro is a Python batching proxy for Jev that returns Apache Arrow IPC streams, with Python and JavaScript SDKs. It lets users ask the same questions about many independent states in one client request, converting JSON answers into Arrow data for tools like pandas, Polars, and DuckDB.
How it uses Jev
Jevaro sends states and questions to the TypeSafe API, either concurrently or packed with rows_per_call. It converts the JSON answers into an Arrow IPC stream in input order, where each state is a row and each question a column. SDKs return Arrow readers.
Primitives:choicescorenoul
Technique worth stealing
Packing many states into fewer calls with rows_per_call to batch Jev inference.
Try it
Install jevaro-server and jevaro, set TYPESAFE_API_KEY, run jevaro-server, then run example.py.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.65
- Shows a System One patternFound in material0.69
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolFound in material0.88
- Top-10 learning shortlist signalunclear0.46
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 16 Oct 2026.