ai-cost-optimisation-pathway-to-production-at-scale PratikDhanave · COMPLETED
21 runnable Python recipes for LLM cost optimisation. Tokens reduced first, cost second.
github.com/PratikDhanave/ai-cost-optimisation-pathway-to-production-at-scale · ★ 0 · Forks 0 · Size 290 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 60 files · 13 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
50 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-10-22
Last commit 2026-10-22
Active months 1
Commits 13