chore: import upstream snapshot with attribution
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#!/usr/bin/env python3
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"""SkillOpt-Sleep — Devin MCP server (stdio, stdlib-only).
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Exposes the sleep engine as MCP tools so Devin (Cognition) can drive it. No
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third-party deps: speaks JSON-RPC 2.0 over stdio with just the handful of MCP
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methods clients need. Same `sleep_*` interface and engine flags as
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`plugins/copilot`, plus a Devin-specific harvest step.
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Before each data-reading action this server runs `harvest_devin.py` to convert
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locally available Devin data (ATIF-v1.7 transcripts, agentmemory memories, and
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.devin skill files) into the Claude Code-compatible JSONL the engine consumes,
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writing it under SKILLOPT_DEVIN_CLAUDE_HOME and pointing the engine there with
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`--claude-home`. After `sleep_adopt` the evolved skill is synced back into the
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workspace's `.devin/skills/`.
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Tools: sleep_status, sleep_dry_run, sleep_run, sleep_adopt, sleep_harvest,
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sleep_schedule, sleep_unschedule. Each shells out to
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`python -m skillopt_sleep <action> ...`. Configure Devin to launch:
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python plugins/devin/mcp_server.py
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"""
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from __future__ import annotations
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import json
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import os
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import shutil
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import subprocess
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import sys
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# expanduser wraps the whole value so a "~/..." env var is expanded too (not
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# just a default) — otherwise a literal ~ dir gets created.
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REPO_ROOT = os.path.expanduser(
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os.environ.get("SKILLOPT_SLEEP_REPO")
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or os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
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)
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PLUGIN_DIR = os.path.dirname(os.path.abspath(__file__))
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CLAUDE_HOME = os.path.expanduser(
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os.environ.get("SKILLOPT_DEVIN_CLAUDE_HOME", "~/.skillopt-sleep-devin")
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)
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MANAGED_SKILL_NAME = os.environ.get("SKILLOPT_MANAGED_SKILL", "skillopt-sleep-learned")
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PROTOCOL_VERSION = "2024-11-05"
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TOOLS = [
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{"name": "sleep_status", "action": "status",
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"description": "Show how many SkillOpt-Sleep nights have run and the latest staged proposal."},
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{"name": "sleep_dry_run", "action": "dry-run",
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"description": "Preview a sleep cycle (harvest+mine+replay) without staging anything."},
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{"name": "sleep_run", "action": "run",
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"description": "Run a full sleep cycle; stages a reviewed proposal. Nothing live changes until adopt."},
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{"name": "sleep_adopt", "action": "adopt",
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"description": "Apply the latest staged proposal to the managed SKILL.md and sync it into .devin/skills/."},
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{"name": "sleep_harvest", "action": "harvest",
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"description": "Debug: list the recurring tasks mined from recent Devin sessions."},
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{"name": "sleep_schedule", "action": "schedule",
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"description": "Install a nightly cron entry to run the sleep cycle automatically."},
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{"name": "sleep_unschedule", "action": "unschedule",
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"description": "Remove the nightly cron entry for a project."},
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]
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_BY_NAME = {t["name"]: t for t in TOOLS}
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_TOOL_SCHEMA = {
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"type": "object",
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"properties": {
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"project": {"type": "string",
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"description": "Project dir to evolve (default: cwd)."},
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"backend": {"type": "string", "enum": ["mock", "claude", "codex", "copilot"],
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"description": "mock = no API spend (default); claude/codex/copilot = real."},
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"scope": {"type": "string", "enum": ["invoked", "all"],
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"description": "Harvest scope (default: invoked project only)."},
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"source": {"type": "string", "enum": ["claude", "codex", "auto"],
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"description": "Transcript source (default: claude)."},
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"model": {"type": "string",
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"description": "Backend-specific model override."},
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"tasks_file": {"type": "string",
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"description": "Path to reviewed TaskRecord JSON (skips harvest)."},
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"target_skill_path": {"type": "string",
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"description": "Explicit SKILL.md path to evolve/stage/adopt."},
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"progress": {"type": "boolean",
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"description": "Print phase progress to stderr."},
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"max_sessions": {"type": "integer",
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"description": "Cap harvested sessions per run."},
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"max_tasks": {"type": "integer",
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"description": "Cap mined tasks per run."},
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"lookback_hours": {"type": "integer",
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"description": "Harvest window in hours (default: 72)."},
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"auto_adopt": {"type": "boolean",
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"description": "Auto-adopt if gate passes (default: false)."},
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"json": {"type": "boolean",
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"description": "Return machine-readable JSON output."},
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"edit_budget": {"type": "integer",
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"description": "Max bounded edits per night (default: 4)."},
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"hour": {"type": "integer",
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"description": "Hour for schedule (0-23, default: 3)."},
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"minute": {"type": "integer",
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"description": "Minute for schedule (0-59, default: 17)."},
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},
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"additionalProperties": False,
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}
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# actions that read harvested Devin data (schedule/unschedule/adopt don't)
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_HARVEST_ACTIONS = {"status", "dry-run", "run", "harvest"}
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def _run_harvest() -> str:
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"""Convert local Devin data into the JSONL the engine reads, under CLAUDE_HOME."""
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harvester = os.path.join(PLUGIN_DIR, "harvest_devin.py")
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env = dict(os.environ)
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env["PYTHONPATH"] = REPO_ROOT + os.pathsep + env.get("PYTHONPATH", "")
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try:
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proc = subprocess.run(
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[sys.executable, harvester, "--out-dir", CLAUDE_HOME],
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capture_output=True, text=True, timeout=60, env=env,
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)
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out = (proc.stdout or "").strip()
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err = (proc.stderr or "").strip()
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return out + (("\n[harvest stderr]\n" + err) if err else "")
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except Exception as exc:
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return f"[harvest_devin] warning: {exc}"
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def _sync_skill(project: str) -> str:
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"""After adopt, copy the evolved skill into the workspace's .devin/skills/."""
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src = os.path.join(CLAUDE_HOME, "skills", MANAGED_SKILL_NAME, "SKILL.md")
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if not (os.path.isfile(src) and project and os.path.isdir(project)):
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return ""
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dot_root = os.path.join(project, ".devin")
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if not os.path.isdir(dot_root):
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return ""
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dst_dir = os.path.join(dot_root, "skills", MANAGED_SKILL_NAME)
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os.makedirs(dst_dir, exist_ok=True)
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dst = os.path.join(dst_dir, "SKILL.md")
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shutil.copy2(src, dst)
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return f"\n[sleep] synced evolved skill → {dst}"
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def _run_engine(action: str, args: dict) -> str:
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harvest_out = _run_harvest() if action in _HARVEST_ACTIONS else ""
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py = sys.executable or "python3"
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cmd = [py, "-m", "skillopt_sleep", action, "--claude-home", CLAUDE_HOME]
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# Devin transcripts are converted to the Claude format, so default source=claude
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if not args.get("source"):
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cmd += ["--source", "claude"]
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# String-valued flags
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for flag, key in [
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("--project", "project"), ("--backend", "backend"),
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("--scope", "scope"), ("--source", "source"),
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("--model", "model"), ("--tasks-file", "tasks_file"),
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("--target-skill-path", "target_skill_path"),
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]:
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val = args.get(key)
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if val:
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cmd += [flag, str(val)]
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# Integer-valued flags
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for flag, key in [
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("--max-sessions", "max_sessions"), ("--max-tasks", "max_tasks"),
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("--lookback-hours", "lookback_hours"), ("--edit-budget", "edit_budget"),
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("--hour", "hour"), ("--minute", "minute"),
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]:
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val = args.get(key)
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if val is not None:
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cmd += [flag, str(int(val))]
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# Boolean flags
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for flag, key in [
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("--progress", "progress"), ("--auto-adopt", "auto_adopt"), ("--json", "json"),
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]:
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if args.get(key):
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cmd.append(flag)
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env = dict(os.environ)
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env["PYTHONPATH"] = REPO_ROOT + os.pathsep + env.get("PYTHONPATH", "")
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try:
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proc = subprocess.run(cmd, cwd=REPO_ROOT, capture_output=True,
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text=True, timeout=3600, env=env)
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except Exception as e:
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return f"[harvest]\n{harvest_out}\n[error] failed to run engine: {e}"
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out = (proc.stdout or "").strip()
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err = (proc.stderr or "").strip()
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result = (f"[harvest]\n{harvest_out}\n\n" if harvest_out else "") + f"[engine]\n{out}"
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if err:
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result += f"\n[stderr]\n{err}"
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if action == "adopt":
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result += _sync_skill(args.get("project") or os.getcwd())
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return result
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def _result(id_, result):
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return {"jsonrpc": "2.0", "id": id_, "result": result}
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def _error(id_, code, message):
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return {"jsonrpc": "2.0", "id": id_, "error": {"code": code, "message": message}}
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def handle(req: dict):
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method = req.get("method")
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id_ = req.get("id")
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if method == "initialize":
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return _result(id_, {
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"protocolVersion": PROTOCOL_VERSION,
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"capabilities": {"tools": {}},
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"serverInfo": {"name": "skillopt-sleep", "version": "0.1.0"},
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})
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if method in ("notifications/initialized", "initialized"):
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return None
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if method == "tools/list":
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return _result(id_, {"tools": [
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{"name": t["name"], "description": t["description"], "inputSchema": _TOOL_SCHEMA}
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for t in TOOLS
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]})
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if method == "tools/call":
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params = req.get("params") or {}
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name = params.get("name")
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tool = _BY_NAME.get(name)
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if not tool:
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return _error(id_, -32602, f"unknown tool: {name}")
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text = _run_engine(tool["action"], params.get("arguments") or {})
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return _result(id_, {"content": [{"type": "text", "text": text}]})
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if method == "ping":
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return _result(id_, {})
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return _error(id_, -32601, f"method not found: {method}")
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def main() -> int:
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for line in sys.stdin:
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line = line.strip()
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if not line:
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continue
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try:
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req = json.loads(line)
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except Exception:
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continue
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resp = handle(req)
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if resp is not None:
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sys.stdout.write(json.dumps(resp) + "\n")
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sys.stdout.flush()
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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