Log Summarizer Canvas

A terminal canvas for pasting log content and submitting it to Claude for summarization. The architecture keeps your context window clean by using a subagent for the actual log analysis.

Usage Flow

When the user wants to paste and summarize logs, follow these steps:

Step 1: Show the Canvas

Run this command to open the log summarizer inline in the current terminal:

${CLAUDE_PLUGIN_ROOT}/run-log-summarizer.sh show

Step 2: Inform the User

Tell the user:

"I've opened a log viewer. Paste your logs using Cmd+V, then press Enter when ready. The canvas will highlight errors, warnings, and timestamps for easier reading."

Step 3: Wait for Submission

The canvas will:

1. •Accept pasted log content
2. •Show syntax highlighting (errors in red, warnings in yellow, timestamps in green)
3. •Allow scrolling through large logs
4. •Write logs to a temp file when user presses Enter
5. •Exit automatically after submission

The log file will be saved at: /tmp/log-summarizer-{id}.log

Step 4: Spawn a Subagent to Summarize

After the canvas exits, use the Task tool to spawn a subagent for summarization:

Read the log file at /tmp/log-summarizer-log-1.log and provide a structured summary.

Analyze the logs and report:

1. **Overview**: What type of logs are these? (application logs, server logs, build output, etc.)

2. **Error Analysis**:
   - Count of errors by type
   - Most critical errors with line numbers
   - Root cause patterns if identifiable

3. **Warning Analysis**:
   - Key warnings that may indicate problems
   - Patterns of recurring warnings

4. **Timeline**:
   - Time range of logs (if timestamps present)
   - Key events in chronological order

5. **Recommendations**:
   - Immediate actions needed
   - Investigation suggestions

Keep the summary under 500 words. Focus on actionable insights.

Step 5: Present Summary to User

Share the subagent's summary with the user. The raw logs stay in the temp file and never enter the primary conversation context.

Why Use a Subagent?

• •Context Preservation: Raw logs (potentially thousands of lines) don't pollute your context window
• •Large Log Support: Can analyze very large logs without hitting context limits
• •Focused Analysis: Subagent specializes in log parsing
• •Clean Handoff: You only see the actionable summary

Canvas Controls (for user reference)

Syntax Highlighting

The canvas automatically detects and highlights:

• •Errors (ERROR, FATAL, CRITICAL): Red
• •Warnings (WARN, WARNING): Yellow
• •Info (INFO, NOTICE): Cyan
• •Debug/Trace: Gray
• •Timestamps: Green
• •JSON keys: Magenta
• •JSON values: Colored by type

Supported Log Formats

• •JSON structured logs
• •Syslog format
• •Generic timestamped logs
• •Plain text

Configuration (optional)

interface LogSummarizerConfig {
  title?: string;       // Custom canvas title
  maxLines?: number;    // Max lines to accept (default: 10000)
}

Result Format

The canvas sends this data via IPC (you don't need to parse this directly - just check the temp file exists):

interface LogSubmissionResult {
  logFilePath: string;     // Path to temp file: /tmp/log-summarizer-{id}.log
  lineCount: number;       // Number of lines
  detectedFormat: string;  // "json" | "syslog" | "generic" | "unknown"
  sizeBytes: number;       // Size in bytes
}

Example Conversation

User: "I have some error logs I need help with"

Assistant: "I'll open a log viewer for you." Runs: ${CLAUDE_PLUGIN_ROOT}/run-log-summarizer.sh show

"I've opened a log viewer. Paste your logs using Cmd+V, then press Enter when ready."

User pastes logs and presses Enter

Spawns subagent to analyze /tmp/log-summarizer-log-1.log

Assistant: "Here's what I found in your logs:

Overview: Application server logs from a Node.js service

Errors (12 total):

• •ECONNREFUSED on database connection (8 occurrences, lines 45-120)
• •TypeError: Cannot read property 'id' of undefined (4 occurrences, lines 200-250)

Root Cause: The database connection failures started at 10:45:23, causing the TypeError errors downstream when queries returned null.

Recommendations:

1. •Check database server status and connectivity
2. •Add null checks in the user service (around line 200)
3. •Implement connection retry logic with exponential backoff"