ath34-tech / routellmesh
pythonmaind1dbf303.4K 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 9.4 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: 3 of 56 files are git hotspots, and they average 6.1.
- Lines of code
- 3.4K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- Fallback: estimate from content lengthproposed
- Deploy as Docker image and recommend Docker Compose with PostgreSQL and Redisproposed
- Include experimental Thompson Sampling routing for adaptive learningproposed
- Implement cost-based routing using estimated token pricingproposed
- Implement complexity-based deterministic routing using metadata scoringproposed
- Use provider abstraction via adapter interfaceproposed
Needs attention
28 open- medium severity. ProposedFallback: estimate from content lengthAuto-proposed decision awaiting review
- medium severity. ProposedDeploy as Docker image and recommend Docker Compose with PostgreSQL and RedisAuto-proposed decision awaiting review
- medium severity. ProposedInclude experimental Thompson Sampling routing for adaptive learningAuto-proposed decision awaiting review
- medium severity. ProposedImplement cost-based routing using estimated token pricingAuto-proposed decision awaiting review
- medium severity. ProposedImplement complexity-based deterministic routing using metadata scoringAuto-proposed decision awaiting review
Where the risk concentrates
All 3 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 |
|---|---|---|---|---|
| service.pyapp/modules/chat | 98.1th | 0 | 1bus factor 1 | 6 |
| lifespan.pyapp/core | 86.5th | 0 | 1bus factor 1 | 4 |
| openai.pyapp/modules/chat/adapters | 76.9th | 0 | 1bus factor 1 | 4 |
Composition
Open the graphpython 93%dockerfile 2%markdown 2%yaml 2%toml 2%
Explore this codebase
- Docs0 pages across 12 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files56 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 1 entry points
- Code healthPer-file scores, 49 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