Developer seeks prompt caching optimization for GitHub Copilot Agent Mode with GPT-5.6
A developer is trying to optimize prompts for GitHub Copilot Agent Mode, noting that GPT-5.6 models make prompt caching more valuable due to specific Cache Read and Write costs. They reference OpenAI's API documentation for prompt caching (1024-token prefix, 128-token increments, identical prefix matching, short-lived in-memory caches, optional 24-hour extended caches) but cannot find whether GitHub Copilot exposes the same behavior or has its own orchestration layer.
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LangChain releases v1.3.13 and langchain-openai v1.3.5 with explicit prompt caching
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User audits Claude Code transcripts, finds long sessions with breaks cause high costs due to cache expiry
A user auditing their Claude Code transcripts discovered that long sessions with breaks are expensive because prompt caching expires after one hour, forcing full history rewrites at premium prices. The user shares details on cache economics to help others optimize usage.
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CTOs share playbooks for governing LLM cost and usage in production
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