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https://github.com/qwibitai/nanoclaw.git
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gavrielc
9b7d4d50e4
auto.ts had grown to 923 lines with ~10 interleaved responsibilities.
Split into three focused modules, keeping auto.ts as a pure step
sequencer:
- setup/lib/runner.ts (325 lines) — spawn + stream-parse + spinner-wrap
primitives. Exports: spawnStep, spawnQuiet, runQuietStep,
runQuietChild, runUnderSpinner (internal), StatusStream, types
(Fields, Block, StepResult, SpinnerLabels, QuietChildResult),
writeStepEntry, summariseTerminalFields, dumpTranscriptOnFailure,
fail(), ensureAnswer().
- setup/lib/theme.ts (39 lines) — brand palette (brand, brandBold,
brandChip) with USE_ANSI / TRUECOLOR gating, so both auto.ts and
channel flows can render the NanoClaw cyan without duplicating the
detection.
- setup/channels/telegram.ts (277 lines) — runTelegramChannel(displayName)
owns the full flow: BotFather instructions, token paste + validation
(via getMe), install script, pair-telegram streaming UI (code card +
attempt checkpoints), agent-name prompt, init-first-agent wiring.
auto.ts drops to 376 lines. main() reads as a clean sequence of
`if (!skip.has(X)) await Xstep(...)` blocks.
fail() now takes the step name explicitly — no module-level
failingStep state. Every call site is grep-friendly and self-contained
(fail('container', msg, hint)).
Typechecks clean. Smoke-tested end-to-end: intro, mounts step,
progression log, and outro all render the same as before the split.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>