GraphCanon updated today · GitHub synced today
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (45d since push)
- As of today
- Provenance
- Not a fork · Personal account
- As of today
- Security (OSV)
- No lockfile
- As of today
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install cupelSimilar 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
discover LLMs punching above their weight
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 15, 2026
- Languages
- javascript, python
Source: github.language+pyproject.toml · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
install
curl -fsSL https://cupel.run/install | bash
or
pip install cupel
the UI is bundled in the package
quick start
cupel
opens a browser at localhost:8042
ships with example data (8 models scored by Claude Opus 4.6 on 8 prompts) — the dashboard is populated on first launch
- LLM-assisted authoring — describe what you want to test, an LLM drafts the prompt and 0–3 rubric
- local + cloud — oMLX, Ollama, LM Studio, SGLang, OpenRouter, Anthropic, OpenAI
- configurable judge — any model can score responses on a 0–3 rubric with reasoning
- thinking model support — separates
<think>blocks from answers, only judges the response - multi-turn + tool calling — multi-step conversations with injected tool results
- speed tracking — tok/s and response times per model
- auto-discovery — probes known ports for local inference servers
license
Copyright © 2026 tolitius
Distributed under the Apache 2.0 License.
For agents
This page has a .md twin and JSON over the API.