llm-eval ashish7802 · PARTIAL
Evaluate LLM responses using Gemini as an automated judge. Score any AI response on accuracy, relevance, coherence, hallucination risk, and conciseness.
github.com/ashish7802/llm-eval · ★ 3 · Forks 1 · Size 6 KB
SUMMARY
Technologies 4
Scored 2
Observed 2
Practices 3
Evidence 9
Skips 2
COVERAGE
Analyzed 5 files · 4 commits · 17 API calls
TECHNOLOGIES & DEPTH
FastAPI FRAMEWORK Depth 43
1 files · PRODUCTION
Pydantic LIBRARY Depth 43
1 files · PRODUCTION
Uvicorn LIBRARY Depth —
0 files · config only
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observeddocumentation_source_ratio · observedtest_source_ratio · observed
ACTIVITY & OWNERSHIP
First commit 2026-04-02
Last commit 2026-04-02
Active months 1
Commits 4