Two gaps the buffered run hid, both verified in the real image with mounted
SuperGrok auth:
- Observability: the entrypoint buffered grok's output to a temp file and only
cat it after the run, so `docker logs` was blank while the agent worked.
Switch the one-shot to --output-format streaming-json piped through tee:
grok flushes each thought/text event incrementally (confirmed token-by-token
live in-container), so the agent's reasoning shows in docker logs in real
time, parity with the Claude stream-json path. Read the session id back from
the NDJSON run log (the terminal `end` event) since -s does not pin it.
- Usage: total_tokens read 0 for every grok run. grok nests the cumulative
totalTokens on params.update._meta, but the reader looked at params._meta
(which only holds event ids); the unit fixture had the same wrong shape, so
the tests masked it. Read the real path (with params._meta / top-level
fallbacks) and fix the fixture to the real grok shape. Verified live:
usage.json now reports total_tokens=3262, cost_usd=0.006524 (was 0).
Move the last Grok runtime off opencode onto xAI's official `grok` CLI, for full
parity with the Claude path. The intake/secretary chat now runs per-turn headless
`grok -p` invocations that resume one session id (proven live: context carries
across runs), with streaming-json deltas mapped to the existing panel StreamChunk
kinds — the IntakeDriver loop, message source, relay, and idle reaper are reused
unchanged; only the SessionFactory differs (GrokCliSession replaces the
opencode-serve session).
- GrokCliSession + a pure, unit-tested streaming-json -> StreamChunk assembler
(thought coalesced to one block, text streamed live, end captures the session
id for -r, fenced-draft fallback, clear errors incl. rate-limit).
- intake propose_draft and secretary read_company_state/read_task/submit_directive
are now FastMCP servers (roboco-intake / roboco-secretary) wired into
~/.grok/config.toml, launched via `uv run --directory /app` to resolve the
installed package. The secretary tools reuse the shared backend helpers.
- Orchestrator: interactive spawn mounts the subscription auth + per-agent usage
dir (no metered xAI key, no permission env — grok flags carry per-role perms);
usage/cost now read a captured usage.json (drop the opencode.db reader, the
_opencode_db_path/_grok_usage_from_opencode methods, and the cost-cap's
opencode read). hosts["opencode"] -> hosts["grok_usage"]; OPENCODE_DATA_DIR ->
GROK_USAGE_DATA_DIR.
- Fix one-shot usage capture: `-s` does not pin the session id (grok generates
its own), so the entrypoint now reads the real id back from the JSON run log
and the reader uses it; usage is captured per-turn on the interactive path.
- Delete the opencode layer: opencode_config/opencode_usage/opencode_session, the
docker/grok/*.js plugins, the old one-shot entrypoint, and their tests.
- Compose (all three files), .env.example, and stale comments updated to the
grok-CLI runtime; add the SuperGrok auth mount + grok-usage dir.
Gate green: ruff, mypy (296 files), xenon, tests. NAS build/verify pending.
Grok runs on the SuperGrok subscription, but — exactly like Claude on Max — we
still record per-agent tokens and a notional cost for the dashboard. The grok
CLI writes a cumulative totalTokens per turn into
~/.grok/sessions/<cwd>/<session-id>/updates.jsonl (the grok analogue of the
Claude transcript / old opencode.db); the max is the session total. This reader
locates that file (url-encoded cwd), extracts the total, and prices it at the
output rate (no input/output split from the CLI; conservative + matches the
reasoning-at-output convention). Validated against a real grok-build session
(18253 tokens -> $0.0365). Entrypoint + finalize wiring follows.
Renn F