shrink（shrink 图像）

🦐 Shrink — Multimodal Context Optimizer

Replace base64 image blocks in session JSONL with concise, context-aware text descriptions. Images consuming 15,000–25,000+ tokens become ~100 token descriptions — a 99%+ reduction. OpenClaw's built-in pruning explicitly skips images. This is the only tool that solves this.

Interactive Flow

When triggered, present an interactive menu using inline buttons (Telegram/Discord).

Step 1: Scan & Present

Run a dry-run first to show the user what's available:

python3 <skill_dir>/scripts/shrink.py --agent <agentId> --dry-run --json

Parse the JSON output and present:

🔍 Context Scan Complete

📊 Found {images_found} images in this session
   • {images_deduped} duplicates detected
   • Est. savings: ~{tokens_saved:,} tokens ({savings_percent}%)
   • Est. cost: ~${estimated_cost_usd:.3f}

Then offer buttons:

• 🚀 Shrink Now → run without --dry-run
• 🔎 Details → show per-image breakdown from the dry-run
• ⚙️ Options → show configurable settings

If no images found: "✅ No unprocessed images found. Session is already optimized!"

Step 2: Execute

On "Shrink Now", run live and keep the user informed with progress updates.

For large runs (10+ images), send a progress message and update it as images complete:

🖼️ Shrinking Wayne (36 images)...
✅ 1/36 — Quicknode dashboard (23K tokens saved)
✅ 2/36 — ♻️ Duplicate (reused)
✅ 3/36 — Wagyu portfolio (21K tokens saved)
...running total: 68K saved

python3 <skill_dir>/scripts/shrink.py --agent <agentId>

Report the full summary stats when complete.

Step 2b: Apply Changes

After shrinking completes, inform the user that changes are saved to disk but agents still hold old context in memory. Offer to apply immediately:

⚠️ Changes saved to disk. Agents are still using old context in memory.

Present buttons:

• ⚡ Apply Now → run openclaw gateway restart (~5 sec downtime, all agents reload clean)
• ⏰ Apply Later → changes take effect at next session load (daily reset, /compact, or /reset)

If user chooses "Apply Now", run:

openclaw gateway restart

Then confirm: "✅ Gateway restarted. All agents now running on shrunk sessions."

Important: Warn that "Apply Now" causes ~5 seconds of downtime for ALL agents, not just the shrunk one.

Step 3: Options (if requested)

Show current settings and let the user adjust:

• Model: auto (detects key type), claude-sonnet-4-6, claude-haiku-4-5
• Context depth: 1-10 preceding messages (default: 5)
• Min tokens: skip images below threshold (default: 500)
• Scope: this session only, or all sessions

Present buttons:

• 📊 All Sessions → --all-sessions
• 🎯 This Session → single session (default)

Variant: /shrink all

When user says "shrink all", "shrink all sessions", or "shrink everything":

python3 <skill_dir>/scripts/shrink.py --agent <agentId> --all-sessions --dry-run --json

Present totals across all sessions, then confirm before running live.

Script Reference

# Basic: current session dry-run
python3 scripts/shrink.py --agent main --dry-run

# Live shrink with all defaults
python3 scripts/shrink.py --agent main

# All sessions for an agent
python3 scripts/shrink.py --agent main --all-sessions

# Specific session file
python3 scripts/shrink.py --session-file path/to/session.jsonl

# Budget-conscious: limit images and use cheaper model
python3 scripts/shrink.py --agent main --max-images 5 --model claude-haiku-4-5

# JSON output for programmatic use
python3 scripts/shrink.py --agent main --all-sessions --json

All Flags

Key Behaviors

• Idempotent — re-runs skip already-deflated images (marker: [🖼️ Image deflated:)
• Dedup — identical images get one API call, description reused for copies
• Context-aware — reads preceding messages + user text + agent response for rich descriptions
• Auth failover — tries API key first (Sonnet), falls back to OAuth (Haiku) automatically
• Safe — creates .bak backup before writing, gracefully skips failed images
• Redaction — --redact pii|keys|all strips sensitive data during extraction for compliance