返回顶部
o

oo

Use when user mentions a ConnectOnion agent address (0x...), asks to connect/delegate to a remote agent, or uses /oo command. Also triggers when user wants to set up ConnectOnion environment for agent networking.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 0.1.0
安全检测
已通过
61
下载量
0
收藏
概述
安装方式
版本历史

oo

# ConnectOnion Agent Networking Connect to remote ConnectOnion agents, delegate tasks, and handle multi-turn collaboration. ## Environment Setup Before any interaction, verify the environment is ready. Run these checks sequentially — stop on first failure: **1. Check connectonion is installed:** ```bash python -c "import connectonion; print(connectonion.__version__)" ``` If ImportError: run `pip install connectonion`, then re-check. **2. Check agent identity exists:** ```bash ls .co/keys/agent.key 2>/dev/null || ls ~/.co/keys/agent.key 2>/dev/null ``` If neither exists: run `co init` to generate identity. **3. Verify identity is usable:** ```bash python -c " from connectonion import address from pathlib import Path a = address.load(Path('.co')) or address.load(Path.home() / '.co') print(a['address']) " ``` If fails: report the error and stop. The user needs to fix their `.co/` directory. > **Note:** `import connectonion` prints `[env] ...` lines to stdout. For all environment checks, **parse only the last line** of stdout output. Ignore everything else. Skip environment checks after the first successful run in a session. ## Connecting to a Remote Agent ### Parsing User Intent Extract from the user's message: - **Target address**: match regex `0x[0-9a-fA-F]{64}` (66 chars total) - **Task description**: everything else For `/oo` slash command: `/oo <address> <task description>` ### Connection Strategy: Direct-First with Relay Fallback The default `connect()` library has a known issue: the relay API may not return an `online` field, causing direct endpoint resolution to always fail and falling back to relay — which itself may be unreliable. To work around this, the skill uses a **smart connection script** that: 1. Queries the relay API for the agent's registered endpoints 2. Tries each endpoint directly (verifying via `/info`) 3. Falls back to relay only if all direct endpoints fail ### One-shot Task Generate and execute this Python script (fill in `{address}` and `{task}`): ```python import sys, json, time, uuid, asyncio import httpx, websockets from connectonion import address from pathlib import Path TARGET = "{address}" TASK = "{task}" TIMEOUT = 60 RELAY_URL = "wss://oo.openonion.ai" keys = address.load(Path(".co")) or address.load(Path.home() / ".co") def _sort_endpoints(endpoints): def priority(url): if "localhost" in url or "127.0.0.1" in url: return 0 if any(x in url for x in ("192.168.", "10.", "172.16.", "172.17.", "172.18.")): return 1 return 2 return sorted(endpoints, key=priority) def discover_direct_ws(target, relay_url): """Query relay API for endpoints and find a working direct WebSocket.""" https_relay = relay_url.replace("wss://", "https://").replace("ws://", "http://").rstrip("/") try: resp = httpx.get(f"{https_relay}/api/relay/agents/{target}", timeout=5) if resp.status_code != 200: return None info = resp.json() except Exception: return None endpoints = info.get("endpoints", []) if not endpoints: return None http_endpoints = [ep for ep in _sort_endpoints(endpoints) if ep.startswith("http://") or ep.startswith("https://")] for http_url in http_endpoints: try: r = httpx.get(f"{http_url}/info", timeout=3, proxy=None) if r.status_code == 200 and r.json().get("address") == target: ws_url = http_url.replace("https://", "wss://").replace("http://", "ws://") if not ws_url.endswith("/ws"): ws_url = ws_url.rstrip("/") + "/ws" return ws_url except Exception: continue return None async def direct_connect(ws_url, target, keys, task, timeout): """Connect directly to agent WebSocket, send task, return result.""" async with websockets.connect(ws_url, proxy=None) as ws: # Signed CONNECT ts = int(time.time()) payload = {"to": target, "timestamp": ts} canonical = json.dumps(payload, sort_keys=True, separators=(",", ":")) signature = address.sign(keys, canonical.encode()) connect_msg = { "type": "CONNECT", "timestamp": ts, "to": target, "payload": payload, "from": keys["address"], "signature": signature.hex() } await ws.send(json.dumps(connect_msg)) # Wait for CONNECTED raw = await asyncio.wait_for(ws.recv(), timeout=10) event = json.loads(raw) if event.get("type") == "ERROR": raise ConnectionError(f"Auth error: {event.get('message', event.get('error'))}") if event.get("type") != "CONNECTED": raise ConnectionError(f"Unexpected: {event.get('type')}") # Signed INPUT ts2 = int(time.time()) input_id = str(uuid.uuid4()) input_payload = {"prompt": task, "timestamp": ts2} input_canonical = json.dumps(input_payload, sort_keys=True, separators=(",", ":")) input_sig = address.sign(keys, input_canonical.encode()) input_msg = { "type": "INPUT", "input_id": input_id, "prompt": task, "timestamp": ts2, "payload": input_payload, "from": keys["address"], "signature": input_sig.hex() } await ws.send(json.dumps(input_msg)) # Stream until OUTPUT while True: msg = await asyncio.wait_for(ws.recv(), timeout=timeout) ev = json.loads(msg) t = ev.get("type") if t == "OUTPUT": return ev.get("result", ""), True elif t == "ask_user": return ev.get("text", ""), False elif t == "ERROR": raise ConnectionError(f"Agent error: {ev.get('message', ev.get('error'))}") # --- Main --- result_text, done = None, None # Step 1: Try direct connection ws_url = discover_direct_ws(TARGET, RELAY_URL) if ws_url: try: result_text, done = asyncio.run(direct_connect(ws_url, TARGET, keys, TASK, TIMEOUT)) print(f"CO_METHOD: direct", flush=True) except Exception as e: print(f"CO_DIRECT_FAIL: {e}", flush=True) # Step 2: Fallback to relay if result_text is None: try: from connectonion import connect agent = connect(TARGET, keys=keys) response = agent.input(TASK, timeout=TIMEOUT) result_text, done = response.text, response.done print(f"CO_METHOD: relay", flush=True) except Exception as e: print(f"CO_RELAY_FAIL: {e}", flush=True) sys.exit(1) print(f"CO_RESPONSE: {json.dumps(result_text)}", flush=True) print(f"CO_DONE: {done}", flush=True) ``` Execute via your shell tool. Parse stdout — **only lines starting with `CO_` matter**, ignore all others. The `CO_RESPONSE` value is JSON-encoded (to handle multi-line responses). Decode it before presenting to the user. - `CO_DONE: True` → return `CO_RESPONSE` content to the user. Done. - `CO_DONE: False` → the remote agent is asking a follow-up question. See Multi-turn Task below. - `CO_METHOD: direct` → connected directly (fastest path). - `CO_METHOD: relay` → connected via relay fallback. - `CO_DIRECT_FAIL: ...` → direct failed, trying relay next. - `CO_RELAY_FAIL: ...` → both methods failed. Report error to user. For long-running tasks, increase timeout to 300. ### Multi-turn Task Multi-turn requires maintaining session state. Use separate one-shot calls per turn since stdin interaction is unreliable in agent environments. Each turn is a new connection but passes context through the conversation. For the first turn, use the one-shot script above. For follow-up turns, include conversation context in the prompt (e.g., prepend prior exchanges). ## Response Handling After each round, parse stdout — **only `CO_` prefixed lines matter**, ignore all others: - `CO_DONE: True` → return `CO_RESPONSE` content to the user. Done. - `CO_DONE: False` → the remote agent asked a follow-up question: - **If you can answer from context** (file contents, prior conversation, your own knowledge) → answer automatically. Do not bother the user. - **If you need the user's input** → show `CO_RESPONSE` to the user, wait for their reply, then send another round. - Loop until `CO_DONE: True` or 10 rounds. ## Error Handling If the script fails, check stderr for these patterns: | Error in stderr | Cause | Action | |-----------------|-------|--------| | `ImportError: No module named 'connectonion'` | Not installed | Run `pip install connectonion` | | `address.load() returns None` | No identity | Run `co init` | | `TimeoutError` | Remote agent unreachable or slow | Verify address, check network/proxy, increase timeout | | `ConnectionRefused` or relay lookup fail | Agent offline | Confirm remote agent is running with `host()` | | `CO_DIRECT_FAIL` + `CO_RELAY_FAIL` | Both paths failed | Agent likely offline — check with operator | | Trust/permission error | Not authorized | Tell user to contact the remote agent admin for access | | `InsufficientCreditsError` | No credits for `co/` models | Run `co status` to check balance | | Script hangs (no output for >90s) | Remote agent requesting onboard (invite code/payment) | Kill script, tell user the remote agent requires onboarding |

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 oo-1775986681 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 oo-1775986681 技能

通过命令行安装

skillhub install oo-1775986681

下载 Zip 包

⬇ 下载 oo v0.1.0

文件大小: 4.18 KB | 发布时间: 2026-4-13 11:17

v0.1.0 最新 2026-4-13 11:17
Version 0.1.0 of oo skill:

- Initial release: enables connecting to remote ConnectOnion agents and delegating tasks using agent addresses.
- Automatically handles environment setup checks for ConnectOnion installation and agent identity.
- Extracts agent address and task description from user message or /oo command.
- Implements resilient, smart connection logic: tries direct WebSocket first, falls back to relay if needed.
- Parses output using clear markers (CO_METHOD, CO_RESPONSE, etc.) for robust response handling.
- Supports both one-shot and multi-turn delegated agent tasks.

Archiver·手机版·闲社网·闲社论坛·羊毛社区· 多链控股集团有限公司 · 苏ICP备2025199260号-1

Powered by Discuz! X5.0   © 2024-2025 闲社网·线报更新论坛·羊毛分享社区·http://xianshe.com

p2p_official_large
返回顶部