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A newer version of the Gradio SDK is available: 6.26.0

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metadata 
title: Cordon - Log Anomaly Detection
emoji: 🔍
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.2.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Find anomalies in logs using AI. Paste logs, get insights.
hardware: zero-gpu
tags:
  - log-analysis
  - anomaly-detection
  - semantic-search
  - embeddings
  - transformers
  - devops
  - sre
  - observability
  - debugging
  - nlp
  - text-analysis
  - machine-learning
  - ai-tools

Cordon

Reduce logs to their semantically anomalous parts.

Cordon uses AI to understand the meaning of your logs and find the parts that are semantically unusual—reducing massive log files to just the anomalous sections worth investigating.

How It Works

  1. Segmentation — Logs are split into non-overlapping windows
  2. Embedding — Each window is vectorized using transformers
  3. Scoring — Distance to nearest neighbors identifies unusual patterns
  4. Thresholding — Top anomalies are selected
  5. Output — XML-tagged blocks ready for LLM analysis

Use Cases

  • Debug faster — Find the needle in the haystack
  • LLM pre-processing — Reduce logs to fit in context windows
  • Incident response — Surface unusual events quickly
  • Exploratory analysis — Discover patterns you didn't know to search for

Key Insight

Repetitive patterns (even errors) are filtered out. Cordon surfaces the rare and unusual events that stand out from the bulk of your logs.

Links