Automated README summary
Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
tiershift reads each LLM request, picks the cheapest model tier that can handle it, and escalates on evidence. It is for developers who want to cut API costs without losing quality.
How it uses Jev
Jev answers 11 typed questions about the request (difficulty, stakes, needs_reasoning, safety, etc.) in one ~180 ms call. Your YAML policy turns those probabilities into a tier; code does the arithmetic. Jev never sees prices or token counts.
Primitives:choicescorenoul
Technique worth stealing
Use a calibrated decision model to route LLM calls by policy, not by training data.
Try it
npm install tiershift or pip install tiershift; set TYPESAFE_API_KEY; run tiershift route "..." or use createRouter().complete().
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 material0.90
- Shows a System One patternFound in material0.72
- Describes handling uncertaintyunclear0.42
- Reports measured numbersFound in material0.75
- Is a runnable toolFound in material0.85
- Top-10 learning shortlist signalnot found in the excerpt0.35
- Is a replica of the modelnot found in the excerpt0.19
- Solves a common problem (0–2)score on a 0–2 scale1.88 / 2
- About JevFound in material0.93
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 20 Sept 2026.