Automated README summary
Automatically summarized from the README on 28 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A notebook for UCLA's Agentic RAG assignment that answers questions from OpenAI docs, SEC 10-K filings, or live web search, splitting multi-part questions and comparing a GPT router against TypeSafe's Jev.
How it uses Jev
route_query_jev() asks Jev a single choice question with a description of each route (OPENAI_QUERY, 10K_DOCUMENT_QUERY, INTERNET_QUERY) to pick the source for each sub-query. It returns the same format as route_query(), so switching is just router=route_query_jev.
Primitives:choice
Technique worth stealing
Use a typed choice question with route descriptions to get a fast, cheap router that matches GPT accuracy.
Try it
Clone the course repo, install requirements, add API keys in .env, and run 001_Agentic_Router.ipynb top to bottom.
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-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
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 projectnot found in the excerpt0.07
- Shows a System One patternFound in material0.83
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolnot found in the excerpt0.07
- Top-10 learning shortlist signalnot found in the excerpt0.19
- Is a replica of the modelnot found in the excerpt0.14
- Solves a common problem (0–2)score on a 0–2 scale1.34 / 2
- About JevFound in material0.99
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 28 Oct 2026.