feat(grok): convert interactive intake/secretary to the grok CLI; delete opencode

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.
This commit is contained in:
Renn F
2026-06-19 04:42:25 +02:00
parent 499f6fc509
commit a88045aacf
40 changed files with 1307 additions and 2200 deletions
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"""roboco-secretary MCP server — the Secretary's CEO-authority tools.
Parity with the Claude Secretary's SDK tools
(:func:`roboco.agent_sdk.secretary_driver.build_secretary_options`):
``read_company_state`` / ``read_task`` (reads) and ``submit_directive`` (acts).
Each calls the backend ``/api/secretary/*`` routes with the container's HMAC
agent token; the backend gate-list queues high-impact directive kinds for the
CEO's confirmation and runs low-risk ones directly. The backend-calling logic is
reused verbatim from ``secretary_driver`` (the SDK and grok paths share one
HTTP seam), so this server only wraps those helpers as MCP tools.
Wired into ``~/.grok/config.toml`` by ``grok_secretary_main``; the container
provides ``ROBOCO_API_URL`` / ``ROBOCO_AGENT_ID`` / ``ROBOCO_AGENT_ROLE`` /
``ROBOCO_AGENT_TOKEN`` (the same auth substrate the one-shot Grok path uses).
"""
from __future__ import annotations
import json
from typing import Any
from mcp.server.fastmcp import FastMCP
from roboco.agent_sdk.secretary_driver import (
_do_read_state,
_do_read_task,
_do_submit_directive,
)
mcp = FastMCP("roboco-secretary")
@mcp.tool()
async def read_company_state() -> str:
"""Read a compact snapshot of company state.
The charter (goals), task counts by status, pending pitches, and any
directives awaiting the CEO's confirmation.
"""
return json.dumps(await _do_read_state())
@mcp.tool()
async def read_task(task_id: str) -> str:
"""Read one task's detail by its id."""
return json.dumps(await _do_read_task(task_id))
@mcp.tool()
async def submit_directive(kind: str, payload: dict[str, Any]) -> str:
"""Act on the CEO's command.
'kind' is one of: relay_message (payload: channel, text), update_charter
(payload: charter), control_task (payload: task_id, action[start|cancel|
override], status?), approve_pitch (payload: pitch_id, notes?), announce
(payload: text). High-impact kinds (charter, control_task, approve_pitch,
announce) are queued for the CEO's explicit confirmation; relay_message runs
directly.
"""
return json.dumps(await _do_submit_directive(kind, payload or {}))
if __name__ == "__main__":
mcp.run()