amithathreya / inference_layer
pythonmaster8c88c66659 linessynced 1mo ago
Code health
8.9out of 10Excellent
This codebase scores 8.9 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.7 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 1 of 12 files are git hotspots, and they average 8.2.
- Lines of code
- 659
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- 1. Initialize the LLaMA model Note: llama-cpp-python requires GGUF formatted model files, not raw HFproposed
- Use smaller quantization if llama-server OOMsproposed
- Recommend Q4_K_M quantization for CPU-only setupsproposed
- Add authentication and rate limitingproposed
- Add SSE streaming for UIproposed
- Implement KV cache management via PagedAttentionproposed
Needs attention
20 open- medium severity. Proposed1. Initialize the LLaMA model Note: llama-cpp-python requires GGUF formatted model files, not raw HFAuto-proposed decision awaiting review
- medium severity. ProposedUse smaller quantization if llama-server OOMsAuto-proposed decision awaiting review
- medium severity. ProposedRecommend Q4_K_M quantization for CPU-only setupsAuto-proposed decision awaiting review
- medium severity. ProposedAdd authentication and rate limitingAuto-proposed decision awaiting review
- medium severity. ProposedAdd SSE streaming for UIAuto-proposed decision awaiting review
Where the risk concentrates
All 1 hotspotsRanked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| kvcache.pyKVCacheManager | 90.9th | 0 | 1bus factor 1 | 4 |
Composition
Open the graphpython 92%markdown 8%
Explore this codebase
- Docs0 pages across 4 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files12 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 1 entry points
- Code healthPer-file scores, 8 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
- CostsWhat indexing this snapshot cost, by model and by run