feat: add adapter code + Dockerfile for standalone deployment

Adapters extracted from molecule-monorepo/workspace-template.
Uses molecule-ai-workspace-runtime PyPI package for shared infrastructure.

- adapter.py — runtime-specific adapter class
- requirements.txt — runtime-specific deps + molecule-ai-workspace-runtime
- Dockerfile — FROM python:3.11-slim, pip install, COPY adapter, molecule-runtime entrypoint
- ADAPTER_MODULE=adapter tells the runtime to load this repo's Adapter class

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Hongming Wang 2026-04-16 04:27:22 -07:00
parent 3e01c6b4c1
commit 50d001013d
4 changed files with 272 additions and 0 deletions

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Dockerfile Normal file
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FROM python:3.11-slim
RUN apt-get update && apt-get install -y --no-install-recommends \
curl gosu ca-certificates nodejs npm \
&& rm -rf /var/lib/apt/lists/*
# Install OpenClaw CLI
RUN npm install -g openclaw 2>/dev/null || true
RUN useradd -u 1000 -m -s /bin/bash agent
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY adapter.py .
COPY __init__.py .
ENV ADAPTER_MODULE=adapter
ENTRYPOINT ["molecule-runtime"]

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__init__.py Normal file
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from .adapter import OpenClawAdapter
Adapter = OpenClawAdapter

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"""OpenClaw adapter — bridges OpenClaw's Node.js gateway with our A2A protocol.
OpenClaw is a Node.js agent runtime with its own gateway (port 18789).
This adapter:
1. Installs OpenClaw CLI (npm) and missing deps in the container
2. Runs non-interactive onboard with the configured model provider
3. Copies workspace files (SOUL.md, BOOTSTRAP.md, etc.) to OpenClaw's workspace dir
4. Starts the OpenClaw gateway as a background process
5. Proxies A2A messages via `openclaw agent --json` CLI subprocess
"""
import asyncio
import json
import logging
import os
import shutil
import subprocess
from molecule_runtime.adapters.base import BaseAdapter, AdapterConfig
from molecule_runtime.adapters.shared_runtime import brief_task, extract_message_text, set_current_task
from a2a.server.agent_execution import AgentExecutor
logger = logging.getLogger(__name__)
OPENCLAW_WORKSPACE = os.path.expanduser("~/.openclaw/workspace-dev/main")
OPENCLAW_PORT = 18789
# Known missing optional deps in OpenClaw's npm package
OPENCLAW_MISSING_DEPS = ["@buape/carbon", "@larksuiteoapi/node-sdk", "@slack/web-api", "grammy"]
class OpenClawAdapter(BaseAdapter):
def __init__(self):
self._gateway_process = None
@staticmethod
def name() -> str:
return "openclaw"
@staticmethod
def display_name() -> str:
return "OpenClaw"
@staticmethod
def description() -> str:
return "OpenClaw agent runtime — Node.js gateway with SOUL/BOOTSTRAP/AGENTS workspace convention"
@staticmethod
def get_config_schema() -> dict:
return {
"model": {"type": "string", "description": "Model ID (e.g. google/gemini-2.5-flash)"},
"provider_url": {"type": "string", "description": "LLM provider base URL", "default": "https://openrouter.ai/api/v1"},
"gateway_port": {"type": "integer", "description": "OpenClaw gateway port", "default": 18789},
}
async def setup(self, config: AdapterConfig) -> None: # pragma: no cover
"""Install OpenClaw, run onboard, copy workspace files, start gateway."""
npm_prefix = os.path.expanduser("~/.local")
os.environ["PATH"] = f"{npm_prefix}/bin:{os.environ.get('PATH', '')}"
# 1. Install OpenClaw CLI if not present
if not shutil.which("openclaw"):
logger.info("Installing OpenClaw CLI...")
result = subprocess.run(
["npm", "install", "--prefix", npm_prefix, "-g", "openclaw"],
capture_output=True, text=True, timeout=300,
env={**os.environ, "npm_config_prefix": npm_prefix}
)
if result.returncode != 0:
raise RuntimeError(f"Failed to install OpenClaw: {result.stderr[:500]}")
# Install known missing optional deps
oc_dir = os.path.join(npm_prefix, "lib/node_modules/openclaw")
if os.path.exists(oc_dir):
logger.info("Installing OpenClaw optional deps...")
subprocess.run(
["npm", "install"] + OPENCLAW_MISSING_DEPS,
capture_output=True, text=True, timeout=120, cwd=oc_dir
)
logger.info("OpenClaw CLI installed")
# 2. Resolve API key and model
prefix = config.model.split(":")[0] if ":" in config.model else "openai"
if prefix == "qianfan":
api_key = os.environ.get("QIANFAN_API_KEY", os.environ.get("AISTUDIO_API_KEY", ""))
else:
api_key = os.environ.get("OPENAI_API_KEY", os.environ.get("GROQ_API_KEY", os.environ.get("OPENROUTER_API_KEY", "")))
# Determine provider URL from model prefix
provider_urls = {
"openai": "https://api.openai.com/v1",
"groq": "https://api.groq.com/openai/v1",
"openrouter": "https://openrouter.ai/api/v1",
"qianfan": "https://qianfan.baidubce.com/v2",
}
provider_url = config.runtime_config.get("provider_url", provider_urls.get(prefix, "https://api.openai.com/v1"))
model = config.model
if ":" in model:
_, model = model.split(":", 1)
# 3. Run non-interactive onboard
if not os.path.exists(os.path.expanduser("~/.openclaw/openclaw.json")):
logger.info(f"Running OpenClaw onboard (model: {model})...")
subprocess.run(
["openclaw", "onboard", "--non-interactive",
"--auth-choice", "custom-api-key",
"--custom-base-url", provider_url,
"--custom-model-id", model,
"--custom-api-key", api_key,
"--custom-compatibility", "openai",
"--secret-input-mode", "plaintext",
"--accept-risk", "--skip-health"],
capture_output=True, text=True, timeout=60,
env={**os.environ, "NODE_NO_WARNINGS": "1"}
)
logger.info("OpenClaw onboard complete")
# 3b. Fix context window (OpenClaw defaults to 16K, but modern models have much more)
oc_config_path = os.path.expanduser("~/.openclaw/openclaw.json")
if os.path.exists(oc_config_path):
try:
import json as json_mod
oc_cfg = json_mod.load(open(oc_config_path))
provider_name = "custom-" + provider_url.split("//")[1].split("/")[0].replace(".", "-")
providers = oc_cfg.get("models", {}).get("providers", {})
if provider_name in providers:
for m in providers[provider_name].get("models", []):
m["contextWindow"] = 1000000 # 1M tokens for modern models
m["maxTokens"] = 16384
json_mod.dump(oc_cfg, open(oc_config_path, "w"), indent=2)
logger.info(f"Fixed context window for {provider_name}")
except Exception as e:
logger.warning(f"Failed to fix context window: {e}")
# 3c. Always write auth-profiles.json
# (key may have been set via secrets API after first boot)
if api_key:
auth_dir = os.path.expanduser("~/.openclaw/agents/main/agent")
os.makedirs(auth_dir, exist_ok=True)
auth_file = os.path.join(auth_dir, "auth-profiles.json")
import json as json_mod
provider_name = "custom-" + provider_url.split("//")[1].split("/")[0].replace(".", "-")
auth_data = {provider_name: {"type": "api-key", "key": api_key}}
with open(auth_file, "w") as f:
json_mod.dump(auth_data, f, indent=2)
logger.info(f"Wrote auth-profiles.json for {provider_name}")
# 4. Copy workspace files from /configs to OpenClaw's workspace dir
os.makedirs(OPENCLAW_WORKSPACE, exist_ok=True)
for fname in os.listdir(config.config_path):
src = os.path.join(config.config_path, fname)
if os.path.isfile(src) and fname.endswith(".md"):
shutil.copy2(src, os.path.join(OPENCLAW_WORKSPACE, fname))
logger.debug(f"Copied {fname} to OpenClaw workspace")
# 5. Start the gateway as a background process
gateway_port = config.runtime_config.get("gateway_port", OPENCLAW_PORT)
logger.info(f"Starting OpenClaw gateway on port {gateway_port}...")
env = os.environ.copy()
env["NODE_NO_WARNINGS"] = "1"
self._gateway_process = subprocess.Popen(
["openclaw", "gateway", "--dev", "--port", str(gateway_port), "--bind", "loopback"],
stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL,
env=env,
)
# Wait for gateway to become healthy (max 30s)
for attempt in range(15):
await asyncio.sleep(2)
if self._gateway_process.poll() is not None:
raise RuntimeError("OpenClaw gateway process exited")
try:
health = subprocess.run(
["openclaw", "gateway", "health"],
capture_output=True, text=True, timeout=10,
env=os.environ.copy()
)
if health.returncode == 0:
logger.info(f"OpenClaw gateway healthy (PID: {self._gateway_process.pid})")
break
except subprocess.TimeoutExpired:
logger.debug(f"Gateway health check timeout (attempt {attempt+1}/15)")
else:
raise RuntimeError("OpenClaw gateway did not become healthy within 30s")
async def create_executor(self, config: AdapterConfig) -> AgentExecutor:
return OpenClawA2AExecutor(heartbeat=config.heartbeat)
class OpenClawA2AExecutor(AgentExecutor):
"""Proxies A2A messages to OpenClaw via `openclaw agent` CLI subprocess."""
def __init__(self, heartbeat=None):
self._heartbeat = heartbeat
async def execute(self, context, event_queue):
from a2a.utils import new_agent_text_message
user_message = extract_message_text(context)
if not user_message:
await event_queue.enqueue_event(new_agent_text_message("No message provided"))
return
await set_current_task(self._heartbeat, brief_task(user_message))
# Call OpenClaw agent via CLI
try:
proc = await asyncio.create_subprocess_exec(
"openclaw", "agent",
"--session-id", context.task_id or "default",
"--message", user_message,
"--json", "--timeout", "120",
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
env={**os.environ, "PATH": f"{os.path.expanduser('~/.local/bin')}:{os.environ.get('PATH', '')}"}
)
stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=130)
output = stdout.decode().strip()
if proc.returncode == 0 and output:
try:
data = json.loads(output)
payloads = data.get("result", {}).get("payloads", [])
if payloads:
reply = payloads[0].get("text", "")
else:
reply = str(data)
except json.JSONDecodeError:
reply = output
else:
reply = f"OpenClaw error: {stderr.decode()[:300]}" if stderr else f"OpenClaw returned code {proc.returncode}"
except asyncio.TimeoutError:
reply = "OpenClaw timed out after 120s"
except Exception as e:
reply = f"OpenClaw error: {e}"
finally:
await set_current_task(self._heartbeat, "")
await event_queue.enqueue_event(new_agent_text_message(reply))
async def cancel(self, context, event_queue): # pragma: no cover
pass

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# Molecule AI workspace runtime — shared infrastructure
molecule-ai-workspace-runtime>=0.1.0
# OpenClaw is a Node.js CLI — installed via npm at startup, not pip
# The adapter only needs httpx for HTTP proxying (already in runtime package)