Llm Monitor
completed
Cli Tool
unknown / rust · tiny
29
Files
7,170
LOC
0
Frameworks
4
Languages
Pipeline State
completedRun ID
#186338Phase
doneProgress
0%Started
2026-04-10 18:52:22Finished
2026-04-10 18:52:22LLM tokens
0Partial failures: SYMBOL_EXTRACTION: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'; AI_REASONING: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'
Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
32.49Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47718
Member of a group with 962 similar repo(s) — canonical #1515287 view group →
Repobility · code-quality intelligence platform · https://repobility.com
AI Prompt
Create a command-line hardware and process monitor specifically for local LLM sessions running on Linux. I need a tool written in Rust that can collect low-level system signals to diagnose performance issues like slowdowns or resource bottlenecks during inference. The tool should support commands to start, stop, and check the status of a monitoring session. Crucially, it must have a function to correlate collected hardware metrics with external LLM logs, like those from LM Studio. Also, include functionality to append timestamped notes during a session and support detailed start options like specifying metrics, modes, and model names.
rust cli linux system-monitoring llm hardware process diagnostics
Generated by gemma4:latest
Catalog Information
Create a command-line hardware and process monitor specifically for local LLM sessions running on Linux. I need a tool written in Rust that can collect low-level system signals to diagnose performance issues like slowdowns or resource bottlenecks during inference. The tool should support commands to start, stop, and check the status of a monitoring session. Crucially, it must have a function to correlate collected hardware metrics with external LLM logs, like those from LM Studio. Also, include
Tags
rust cli linux system-monitoring llm hardware process diagnostics
Security & Health
55
Vulnerabilities
5
Critical CVEs
60.7h
Tech Debt (E)
High
DORA Rating
A
OWASP (90%)
Powered by Repobility — scan your code at https://repobility.com
FAIL
Quality Gate
7.5%
Duplication
Languages
Frameworks
None detected
Symbols
function218
struct30
constant24
extension13
enum5
type_alias3
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
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