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