responses-third-party-prompt-cache-patchPatch an installed OpenClaw dist bundle so third-party OpenAI-compatible Responses endpoints keep prompt_cache_key and prompt_cache_retention instead of havi...
Install via ClawdBot CLI:
clawdbot install tsunheimat/responses-third-party-prompt-cache-patchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/tsunheimat/openclaw-responses-prompt-cache-patchAudited Apr 17, 2026 · audit v1.0
Generated May 11, 2026
An AI startup uses third-party OpenAI-compatible endpoints for customer-facing chatbots and needs to preserve prompt caching metadata for latency reduction. This patch prevents OpenClaw from stripping those cache keys, enabling faster responses without upstream changes.
A healthcare organization runs OpenClaw on-premise to integrate with local LLM providers that support prompt caching. The patch ensures that cache retention headers are kept, reducing costs and improving response times for clinical decision support tools.
A fintech company uses OpenAI-compatible third-party models for customer support and compliance chat. By applying this patch, they maintain prompt cache keys for repeated queries, ensuring low-latency responses during high-traffic periods.
An e-commerce platform leverages third-party AI for product recommendations and dynamic pricing. The patch preserves prompt caching across sessions, reducing API costs and speeding up personalized user experiences.
Offer a service to enterprise clients that patches and maintains their OpenClaw installations to preserve prompt caching for third-party endpoints. Generate recurring revenue via monthly maintenance contracts.
Provide consulting to companies using OpenClaw to optimize their LLM gateway performance. This patch is a key deliverable in a broader optimization package, charging per engagement.
Offer training and support packages for teams deploying this patch, including dry-run verification, rollback procedures, and upgrade handling. Generate income through tiered support plans.
💬 Integration Tip
Always run --dry-run first on production, and test apply/rollback on a copied fixture before touching the live installation.
Scored May 11, 2026
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, an...
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RA...
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Clean, tag, and index a user-provided prompt collection so the right prompt can be found, reused, and improved quickly.
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
Store, organize, search, and reuse customizable prompt templates with variables to streamline your workflow and avoid rewriting prompts.