Log-Intelligence-AI-Deploy

AI Log Intelligence CLI tool for L3 support log triage: parse logs, mask sensitive values, summarize recurring errors and request AI-assisted root-cause hints.

Build

Windows

.\mvnw.cmd clean package

Unix / Linux / macOS

./mvnw clean package

Run

Windows

java -jar log-intelligence-ai-deploy.jar --inputLog=sample.out --maskConfig=mask.properties --aiPrompt=prompt.txt

Unix / Linux / macOS

java -jar log-intelligence-ai-deploy.jar --inputLog=sample.out --maskConfig=mask.properties --aiPrompt=prompt.txt

Required option:

• --inputLog=<path>

Optional options:

• --maskConfig=<path to .properties>
• --aiPrompt=<path to .txt>
• --skipAiModelCheck=true (skip Ollama model validation via /api/tags at startup)

AI settings in src/main/resources/application.yml:

• spring.ai.ollama.base-url
• spring.ai.ollama.chat.options.model
• Optional custom system prompt: logai.ai.system-prompt

The tool writes a sidecar report file at <inputLog>.analysis.txt.