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## Why PR #6503 bundled a broader context compiler with several prompt-shape and telemetry changes, making it difficult to isolate whether paired XML-like top-level boundaries improve agent behavior. This keeps the follow-up experiment focused on framing only. ## What - Replace top-level standing and per-turn bracket headers with paired tags while preserving inner section content and event/message framing - Carry only metadata already present in dynamic headers as attributes, such as thread counts, truncation, event type, and batch count - Preserve every section body verbatim so the model executes the exact bytes reviewed in Desktop - Keep routing metadata, event content, batching, and delivery behavior unchanged - Teach Desktop diagnostics to parse the new framing while retaining compatibility with archived bracket-framed sessions; ambiguous paired boundaries render as the complete captured prompt ## Risk Assessment Medium — the change is limited to agent prompt framing and diagnostic parsing, but it affects both standing context and every dynamic agent turn. Bodies and delivery behavior remain unchanged, and compatibility parsing remains for prior sessions. ## References - Follow-up to #6503, scoped only to the paired-tag framing hypothesis ## Update — 2026-08-24 - Addressed review feedback by removing entity encoding/decoding from the execution and diagnostic paths. - Added regressions for literal closing tags, placeholders, entity-looking text, ampersands, and authored boundary whitespace. - Verified `cargo test -p buzz-acp` (805 unit + 9 integration), Desktop tests (5,412 before the main sync; 5,439 in the pre-push gate), Desktop typechecking, and Tauri clippy/tests. - Live local relay startup and message ingestion passed. The live ACP reply step is blocked locally because installed Goose 1.0.23 no longer provides the documented `goose acp` command and no alternate ACP adapter is installed. --- **Update Aug 25, 12:13 EDT:** Extended paired tags to per-turn top-level sections. - Converted context, conversation/thread context, event batches, and steer/interrupt boundaries without changing their inner bodies. - Preserved existing header metadata as attributes only; added no new prompt metadata. - Verified 806 Buzz ACP unit tests plus 9 integration tests, 5,441 Desktop tests, Desktop typechecking and formatting, and all differential pre-push lanes. --- **Update Aug 25, 13:58 EDT:** Addressed framing review feedback. - Updated operational base instructions to reference the emitted `<context>` section and added a regression guard against stale `[Context]` instructions. - Restored batched steer/interrupt cardinality in Desktop diagnostic titles with focused coverage for both paths. - Verified 807 Buzz ACP unit tests plus 9 integration tests, 5,442 Desktop tests, Desktop typechecking and formatting, and every differential pre-push lane including Tauri clippy/tests. --- **Update Aug 25, 15:37 EDT:** Hardened legacy transcript compatibility. - Semantic standing-context parsing now requires paired framing at the start and complete input consumption. - Historical bracket-framed personas keep literal balanced tag examples in their original section; malformed or mixed current framing displays as the complete captured prompt. - Added regressions for the reported legacy persona case and trailing unframed text; verified 60 focused parser tests, 5,444 full Desktop tests, formatting, and typechecking. --- **Update Aug 25, 16:31 EDT:** Preserved slash-command prompt block boundaries. - Desktop now sets aside a valid connector-facing slash-command block only when the following block begins recognized paired framing, parses the semantic blocks normally, and retains the command as visible Prompt metadata. - Added an end-to-end transcript regression using the production three-block ACP shape, including the user bubble, author pubkey, event ID, and grouped prompt context. - Verified 113 combined transcript tests, 5,445 full Desktop tests, formatting, typechecking, and all applicable pre-push lanes. Generated with Codex --------- Signed-off-by: Salman Mohammed <smohammed@squareup.com>