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Project description
dgxarley
Tooling for the DGX Arley K3s inference cluster — integration tests, streaming utilities, and CLI entry points for SGLang, Ollama, and OpenWebUI services.
What's included
CLI tools
| Command | Description |
|---|---|
sglang-raw |
Interactive SSE stream viewer with dual-panel Rich display (interpreted output + raw JSON chunks) |
sglang-test |
Direct SGLang client with sequential and parallel load testing (live Rich TUI) |
openwebui-test |
OpenWebUI / LLM client with preset management and streaming |
ollama-test |
Ollama API health, model, embedding, and chat completions tests |
Libraries
| Module | Description |
|---|---|
dgxarley.integration.repetition_detector |
Offline n-gram, sentence, and loop repetition analysis for completed LLM outputs |
dgxarley.integration.streaming_repetition_guard |
Real-time repetition detection for token streams with configurable thresholds |
Installation
pip install dgxarley
Quick start
from dgxarley.integration.repetition_detector import detect_repetition
report = detect_repetition(llm_output)
print(report.summary())
# [LOW] score=0.12 — N-Gram 'this is a test' x2
from dgxarley.integration.streaming_repetition_guard import RepetitionGuard
guard = RepetitionGuard()
for chunk in llm_stream:
token = chunk.choices[0].delta.content or ""
result = guard.feed(token)
if result.should_stop:
print(f"STOP: {result.reason}")
break
Requirements
- Python >= 3.14
Source & documentation
Full documentation, network architecture, and Ansible playbooks: GitHub
License
LGPL where applicable — see LICENSE.md for details.
Project details
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