🦐 Shrink — Three-Tier Multimodal Context Optimizerv1.2.0

Customer support agents handling multi-turn chats with image attachments (e.g., screenshots of errors) can run out of context. Shrink replaces those images with text descriptions, reclaiming 96-99% of image tokens so the conversation can continue without losing history.

AI power users running multiple agent sessions with image-heavy logs (e.g., UI design reviews, data visualizations) can bulk-shrink all sessions. This reduces token bloat across the workspace, saving costs and preventing context limit errors.

Researchers processing many screenshots (e.g., medical imaging, satellite views) can use Shrink's per-image cost estimates and batch processing. By choosing a cheaper vision model (Haiku) and setting a minimum token threshold, they drastically reduce API costs while retaining key visual context.

Users concerned about sensitive data in images (e.g., PII, secrets) can enable the --redact flag. Shrink extracts image descriptions without writing raw image data to disk, ensuring compliance with privacy policies while still reducing token usage.

Offer Shrink as a subscription add-on for AI agent platforms, charging a flat monthly fee for unlimited session optimization. Customers save 96-99% on image token costs, justifying the subscription.

Implement a metered pricing model where users pay per image processed or per session shrunk, with tiers based on volume. This aligns costs directly with value delivered (tokens saved).

Provide free shrinking for the current session only, and charge a premium for bulk operations (all sessions, all agents) and advanced features like custom context depth or priority processing.