GraphCanon updated Sep 10, 2026 · GitHub synced Sep 10, 2026
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Decision brief
Cupel is a JavaScript-based toolkit for discovering and evaluating the performance of large language models using configurable prompts, scoring mechanisms, multi-turn dialogues, and local inference server discovery.
Good fit when
- When aiming to evaluate LLMs on local servers due to its auto-discovery feature for known ports of inference servers
- For generating initial test scenarios where an LLM can draft prompts and rubrics based on input descriptions
Avoid when
- If you require a solution that supports a non-JavaScript runtime environment, as Cupel is JavaScript-exclusive
- When you need a tool without UI capabilities since Cupel's UI is bundled in the package and may not suit headless operations
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (10d since push)
- As of Sep 10, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 10, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install cupel PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Cupel is a JavaScript-based toolkit for discovering and evaluating the capabilities of various LLMs through configurable prompt generation, scoring mechanisms, multi-turn dialogues, and local inference server discovery.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 10, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 10, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
install or the UI is bundled in the package quick start opens a browser at <img src="doc/first time.png" alt="first time cupel is started" width="76%" ships with example data (8 models scored by Claude Opus 4.6 on 8 prompts) — the dashboard is populated on first launch LLM assist...
For agents
This page has a .md twin and JSON over the API.