Sluice

C 63 completed
Other
cli / python · tiny
10
Files
970
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#396304
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
19.03
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47306
Member of a group with 1 similar repo(s) — canonical #110889 view group →
Top concepts (1)
Project Description
Repobility · code-quality intelligence platform · https://repobility.com

AI Prompt

Create a command-line tool in Python that acts as a priority-queue LLM router specifically for Apple Silicon. The tool needs to manage access to multiple local MLX models to prevent GPU Out-Of-Memory errors by serializing inference requests. It should expose a main endpoint, like `POST /v1/query`, that accepts a model name and a prompt. Implement priority levels, allowing critical requests to preempt background tasks. Additionally, it must support routing requests to a cloud API endpoint, bypassing the local queue. The tool should also provide a Python client interface for querying and checking the health status.
python cli llm apple-silicon gpu priority-queue mlx router api
Generated by gemma4:latest

Catalog Information

Priority-queue LLM router for Apple Silicon. Prevents GPU OOM by serializing local inference.

Description

Priority-queue LLM router for Apple Silicon. Prevents GPU OOM by serializing local inference.

Novelty

3/10

Tags

python cli llm apple-silicon gpu priority-queue mlx router api

Technologies

anthropic

Claude Models

claude-opus-4-6

Quality Score

C
63.4/100
Structure
57
Code Quality
80
Documentation
65
Testing
0
Practices
82
Security
100
Dependencies
60

Strengths

  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment

Security & Health

4.1h
Tech Debt (E)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (10)
Same scanner, your repo: https://repobility.com — Repobility
MIT
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
83.1%
markdown
13.5%
toml
3.4%

Frameworks

None detected

Concepts (1)

All metrics by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
auto_descriptionProject DescriptionPriority-queue LLM router for Apple Silicon. Prevents GPU OOM by serializing local inference.80%

Quality Timeline

1 quality score recorded.

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