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Backlog #2 of docs/plans/2026-07-13-tui-latency demanded a prereq spike before any streaming design: does the transcript JSONL grow during a turn, or only at the end? The spike was run. All three candidate sources are dead: (a) transcript JSONL — grows at EVENT granularity; the assistant's text event is written as ONE complete line, ~0.3s before the terminal turn_duration event (observed: turn_duration 7319ms; text event at t+7.0s, terminal at t+7.3s). (b) tmux capture-pane — the pane is a RENDERED view, not the text. Same turn, transcript T = '## Semaphore\n\nA **semaphore** is a synchronization…' pane = '⏺ Semaphore' / ' A semaphore is a synchronization…' '## ', '**' and ```-fences are absent from the pane entirely (rendered to ANSI, then stripped by capture-pane -p). T.startsWith(paneText) is FALSE both raw and indent-stripped — not on redraw, but on essentially every markdown answer. capture-pane -e recovers styling, never source spelling: no unique inverse. (c) --debug-file — byte-exact ('last_assistant_message':'## Title\n\n**alpha…'), but only inside end-of-turn Stop-hook payloads; zero content_block_delta / text_delta events; ~2.7MB per turn. --output-format stream-json, the only interface emitting token deltas, requires -p — the metered-billing path TUI mode exists to avoid (cc_entrypoint=sdk-cli). The constraint is structural. OCP's TUI SSE is, and remains, replay-only. Also corrects this plan's own "~20s waiting for the whole turn" decomposition, which was inferred from an external 30-32s report and never measured through OCP. Measured through a real OCP instance (TUI, claude-sonnet-4-6, n=5): median 11.30s before #156, 9.55s after, vs a native turn_duration of ~7.3s → OCP's own overhead is ~2-4s, not ~20s. The remainder is generation time, which streaming would not shorten (it moves the first byte, not the last) — so a consumer needing the COMPLETE answer, which is the JSON-card case that motivated this work, would have gained nothing from streaming. Backlog #4 measured while here: --exclude-dynamic-system-prompt-sections gives ZERO marginal benefit (TTFT median 6.39s vs 6.17s for --effort low alone, n=5, one worse outlier). Do not adopt. Banner stayed on Claude Max. README: documents the ~6s TTFT floor plainly (TUI mode cannot serve interactive-latency consumers) and states that no-token-streaming is structural rather than a missing feature. No code change. No version bump (docs-only). Not endpoint-touching: no server.mjs diff, so no cli.js citation applies. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VqgWJcjxrjjL9L9SkpZyXR
185 lines
9.8 KiB
Markdown
185 lines
9.8 KiB
Markdown
# Backlog #2 (real streaming): the prereq spike says **no**
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**Date**: 2026-07-13
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**Status**: negative result — evidence, not a decision. The maintainer chooses what to do with it.
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**Scope**: this answers the prereq spike that [`README.md`](README.md) § "Backlog #2" demanded *before* any streaming design:
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> **Prereq spike (do this before designing anything)**: does the transcript JSONL grow *during* a
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> turn, or only at the end? If only at the end, (a) is dead and you are stuck with (b).
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The spike was run. **Both (a) and (b) are dead**, and so is a third candidate the original backlog
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did not consider. The conclusion is stronger than "streaming is hard": **the interactive `claude`
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CLI does not expose its token stream to any observer.** It renders tokens to a terminal and records
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the *finished* text. There is no byte-faithful incremental source for a proxy to forward.
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**Measured on**: Mac mini / Claude Code **v2.1.207** / Sonnet 5 + Sonnet 4.6 / Claude Max /
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real-home mode. Every claim below is reproducible from the commands given.
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---
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## The three candidate sources, and how each one dies
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### (a) Incremental transcript reads — **dead: event granularity, not token granularity**
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The transcript JSONL *does* grow during a turn, but it grows one **whole event at a time**, and the
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assistant's text event is written as **one complete line** — it appears only ~0.3 s before the
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terminal `turn_duration` event.
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Observed (session `efd5b161`, `turn_duration: 7319 ms`, polling the file every 0.5 s):
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```
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bytes=64347 lines=13 → 64479 lines=14 → 92192 lines=21 (during the turn)
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#6 t+0.0s type=user (the prompt)
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#15 t+4.7s type=assistant blocks=thinking
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#16 t+7.0s type=assistant blocks=text ← the ENTIRE answer, in one line
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#21 t+7.3s type=system subtype=turn_duration ← terminal
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```
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Reading the transcript incrementally therefore buys ~0.3 s, not a token stream. The "clean option"
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the backlog hoped for does not exist.
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### (b) `tmux capture-pane` diffing — **dead: the pane is a RENDERED view, not the text**
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This is the one the backlog expected to fall back to, noting it is "lossy for exact text (wrapping,
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scrollback, spinner lines)". The loss is **worse than formatting noise: the pane does not contain
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the answer's source bytes at all.** claude's TUI *renders* markdown, and `capture-pane -p` strips
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the ANSI styling that rendering produced — so the source markers are gone, irrecoverably.
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Same turn, same lines — authoritative transcript text vs. what the pane holds
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(`capture-pane -p -J -S -500`, pane width 220):
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```
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TRANSCRIPT (authoritative T, via extractLatestAssistantText):
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'## Semaphore'
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''
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'A **semaphore** is a synchronization primitive that controls access to a shared resource by …'
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''
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'- Tracks available "permits" and decrements the count when a thread acquires access, …'
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PANE (the same turn):
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''
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'⏺ Semaphore' ← '## ' heading became a bullet glyph
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''
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' A semaphore is a synchronization primitive that controls access to a shared resource by …'
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'' ← '**' bold markers GONE; every line indented 2 sp
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' - Tracks available "permits" and decrements the count when a thread acquires access, …'
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```
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Token-presence check over the whole final frame:
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| token in the answer | in transcript `T` | in pane |
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|---|---|---|
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| `## ` (ATX heading) | yes | **no** — rendered as `⏺` |
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| `**` (bold markers) | yes | **no** — rendered as ANSI bold, then stripped by `-p` |
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| ` ```javascript ` (fence + language) | yes | **no** — fence gone, language tag gone |
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| `- ` (list item) | yes | yes |
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Consequence for any design built on pane diffing: with `S` = text streamed from the pane and `T` =
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the transcript's authoritative text, the prefix invariant **`T.startsWith(S)` is false** — both raw
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and with the 2-space indent stripped. Not "sometimes, on redraw" — **on essentially every answer
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containing markdown**, which is most answers.
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And it cannot be repaired:
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- `capture-pane -e` (keep ANSI) recovers *styling*, never the *source spelling*: you cannot tell
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`**bold**` from `__bold__`, recover a fence's language tag, or distinguish an H2 from bold text.
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- Reconstructing markdown from rendered output is a lossy inverse with no unique solution, and it
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would be pinned to one claude TUI version's theme.
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A proxy that streams pane text is streaming **something the model did not say**. For OCP that is not
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a quality trade-off, it is a correctness violation (`ALIGNMENT.md` Core Principle: forward what
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`cli.js` emits; do not invent).
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### (c) `--debug-file` — **dead: byte-exact, but only at end-of-turn**
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Not considered in the original backlog; checked for completeness because it is the only other
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observable claude writes.
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`claude --debug-file <path>` does contain the **byte-exact raw markdown** — but only inside
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**end-of-turn hook payloads**:
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```
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[DEBUG] Hooks: Parsed initial response: {… "hook_event_name":"Stop", …
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"last_assistant_message":"## Title\n\n**alpha bravo charlie**" …}
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```
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Note `## ` and `**` survive here — this is the real text. But it arrives with the `Stop` hook, i.e.
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the same end-of-turn granularity as the transcript. Grepping the log for streaming events
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(`content_block_delta` / `text_delta`) finds **zero**. The log is also ~2.7 MB per turn, which rules
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it out as a production mechanism regardless.
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---
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## What this means
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**True token streaming is not achievable on the TUI path**, at any effort, with any flag combination
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available in claude 2.1.207. The three observables are: a rendered terminal (lossy beyond repair), a
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transcript written at event granularity (end-of-turn), and a debug log written at end-of-turn.
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`--output-format stream-json` — the one interface that *does* emit `text_delta` events — works
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**only with `--print`/`-p`**, and the `-p` path is precisely what TUI mode exists to avoid (it is
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classified `cc_entrypoint=sdk-cli` → the metered credit pool, not the subscription pool). The
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constraint is structural, not a missing feature.
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**Therefore OCP's SSE on the TUI path is, and remains, replay-only**: the answer is buffered until
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the turn is terminal and then replayed as SSE chunks (`server.mjs`, the `streamStringAsSSE` branch).
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It is wire-valid OpenAI SSE; it is not progressive.
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### What streaming would have bought — smaller than the backlog implied
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Worth stating plainly, because it changes the value calculus:
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- **Streaming never makes the answer arrive sooner.** It makes the *first byte* arrive sooner. A
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consumer that needs the *complete* answer before it can act — e.g. a JSON-card consumer parsing a
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structured reply, which is exactly the 知音 AI use case that motivated this whole investigation —
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gains **nothing at all** from streaming. Only a progressively-rendering consumer (a chat UI) gains.
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- The backlog's "~20 s" for item #2 was inferred from an external report of 30–32 s, not measured
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through OCP. Measured through a real OCP instance (TUI mode, `claude-sonnet-4-6`, ~1850-token
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prompt, n=5): **median 11.30 s** before PR #156, **9.55 s** after — against a native
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`turn_duration` of ~7.3 s for a comparable turn. So OCP's own overhead over the CLI is roughly
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**2–4 s**, not 20 s; the rest of any large number is the model generating a long answer, which
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streaming hides but does not shorten. (A 30 s turn is a 30 s turn either way — the last token
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lands at the same wall-clock moment.)
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The honest remaining levers on the TUI path are therefore: the **~6 s TTFT floor** (immovable — see
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[`README.md`](README.md)), the **generation time** (a function of output length — not OCP's to
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optimize), and OCP's **own 2–4 s of overhead** (per-request cold boot ≈1 s → backlog #3 warm pool;
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plus readiness/paste/transcript poll granularity).
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---
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## Options for the maintainer (this document does not choose)
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1. **Accept and document (recommended).** TUI mode cannot stream; its SSE is replay-only. Record the
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constraint next to the ~6 s TTFT floor already in `README.md`, and close backlog #2 as *not
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achievable honestly*. Redirect the effort to the overhead that *is* recoverable (#3).
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2. **Ship lossy "rendered-text" streaming behind an explicit opt-in.** Technically possible; the
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client would receive the TUI's rendered view — headings as `⏺`, bold markers stripped, code
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fences gone, every line indented. **Recommended against**: it delivers bytes the model did not
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produce, silently corrupts structured replies (the JSON/marker protocols proxy consumers actually
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use), and pins OCP's output to a claude TUI theme. It also cannot be reconciled with the
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transcript afterwards — OpenAI SSE deltas cannot be un-sent.
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3. **Reconstruct markdown from `capture-pane -e` ANSI styling.** High effort, brittle across claude
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versions, and *still* not byte-exact (no unique inverse). Recommended against.
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## Reproduction
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```bash
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# (a) transcript growth granularity — poll a live turn's JSONL
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# watch bytes/lines while a TUI turn runs; dump event types + timestamps afterwards
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# (b) pane vs transcript — the decisive one
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# spawn claude in tmux (prefix NOT ocp-tui-*, never kill-server), ask for markdown,
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# capture `tmux capture-pane -p -J -S -500` frames during the turn, then diff the pane's
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# answer region against extractLatestAssistantText() over the session's transcript JSONL.
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# Expect: T.startsWith(paneText) === false, '## ' and '**' and '```' absent from the pane.
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# (c) debug log
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claude --model claude-sonnet-5 --session-id "$(uuidgen)" --effort low --debug-file /tmp/d.log
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grep -cE 'content_block_delta|text_delta' /tmp/d.log # → 0
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grep -o 'last_assistant_message":"[^"]*' /tmp/d.log # → byte-exact text, at Stop-hook time
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```
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Banner check (mandatory for every spawn-flag change, per [`billing-banner.txt`](billing-banner.txt)):
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every configuration used in this spike was verified to stay on `· Claude Max`.
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