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