Box Agent's Agentic Middleware Practices
LangChain · x · 2026-07-16
LangChain highlights three ways Box uses Deep Agents middleware in Box Agent:
- Parallel answer and citation generation: Streams answers while generating citations simultaneously, reducing user wait times and friction.
- Multi-turn conversation caching: Injects prompt caching to cut costs and minimize latency.
- Context management: Auto-summarizes conversations once they exceed 170k tokens, preventing context overflow.
More from coding & agent
- An MCP server signs every AI agent tool call into a verifiable Merkle chain — Funky_Chicken_22 · 2026-07-22
- Annotated transcript of a Claude Code team interview is now available — trq212 · 2026-07-22
- Claude Code skill uses 10 Markdown rules to make outputs ADHD-friendly — alex_verem · 2026-07-22
- BUZZ launches as an open-source group chat layer for teams and agents — Scobleizer · 2026-07-22
- A Firecracker-based platform says it can host 6,000 AI agents on one 256 GB server — maritime_sh · 2026-07-22
- A better path to agent autonomy is running waves, finding friction, and iterating — JnBrymn · 2026-07-22