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## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Agent adapters use a duplex bridge to send requests and responses across an isolated boundary > - The bridge held each request body and response body in memory on both ends > - Large bodies can exhaust memory and reduce the safe size of adapter traffic > - This pull request sends receive-side bodies as sequenced chunks and spills large bodies to disk > - The benefit is bounded memory use with strict size, order, and cleanup checks ## Linked Issues or Issue Description **What existing behavior does this improve?** The adapter-utils duplex bridge transports request and response bodies across the sandbox boundary. **Current behavior** The bridge stores each complete body in memory on both ends of the duplex channel. **Proposed behavior** The bridge sends body chunks with sequence checks. The receive side keeps bodies up to 1 MiB in memory and spills larger bodies to a temporary file. **Reason and benefit** This change reduces memory pressure and keeps malformed or oversized input on a terminal error path. **Breaking changes** The duplex frame version changes to version 2. The request and response envelopes now carry bodyByteCount, and body_chunk frames carry the body data. ## What Changed - Add version 2 body_chunk frames with 256 KiB raw slices encoded as canonical base64 text. - Add receive-side memory and spill reassembly with per-channel disk and file limits. - Reject malformed, reordered, oversized, truncated, and non-canonical body chunks. - Stream reassembled request bodies to the host forward handler with a web stream and half-duplex request. - Remove spill files on success, failure, channel death, and startup cleanup. ## Verification - Run the adapter-utils type-check. - Run the adapter-utils duplex test suite. - Run all pull request checks. - Run the Greptile review and confirm a 5/5 score with no open findings. ## Risks The wire format changes from version 1 to version 2. Older bridge peers cannot use this protocol. The receive path adds temporary file operations and cleanup paths. The implementation fails closed when a body violates size or sequence rules. ## Model Used OpenAI GPT-5 Codex, tool-enabled coding agent. The exact context-window size and reasoning mode are not exposed by the runtime. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with Fixes: # / Closes # / Refs # OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub #NNN / github.com/paperclipai/paperclip URLs) - [x] My branch name describes the change (e.g. docs/..., fix/...) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>