feat: implement all adapter layers (#2)
Adapters implemented: - adapters/llm/anthropic.py — Anthropic Claude SDK, capability-based model selection, max_tokens + temperature configurable via team.yaml, lazy SDK import - adapters/vcs/github.py — GitHub PR/branch operations via gh CLI - adapters/notify/openclaw.py — OpenClaw system event notifications - adapters/runtime/openclaw.py — OpenClaw sessions_spawn for agent execution - adapters/runtime/claude_code.py — Claude Code CLI for T4/T5 coding tasks All adapters follow the abstract base interfaces from Phase 1. Config-driven model selection via capability_map in team.yaml.
This commit is contained in:
GitHub
@@ -1,51 +1,163 @@
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"""
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adapters/runtime/claude_code.py
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Claude Code agent runtime adapter — Phase 2 stub.
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Claude Code sub-agent runtime adapter — Phase 2 implementation.
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TODO (Phase 2):
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- Implement spawn() to launch a Claude Code sub-agent via the Agent SDK.
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- Implement get_result() to await agent completion and parse the output.
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- Implement kill() to terminate the sub-agent process or session.
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- Map task brief context (files, constraints, artifacts) into the agent's
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system prompt and tool context.
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- Handle Claude Code tool-use responses and extract structured output.
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Spawns the ``claude`` CLI as a non-interactive subprocess for T4/T5
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implementation tasks::
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claude --permission-mode bypassPermissions --print "<task>"
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Each spawned process is tracked by a UUID job_id so callers can later poll
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for the result or terminate the job. Stdout is captured and returned as the
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agent output; stderr is included for debugging.
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"""
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from __future__ import annotations
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import logging
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import subprocess
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import tempfile
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import threading
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import uuid
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from adapters.base.runtime import RuntimeAdapter
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logger = logging.getLogger(__name__)
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class ClaudeCodeRuntimeAdapter(RuntimeAdapter):
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"""
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Runtime adapter that spawns Claude Code sub-agents for coding tasks.
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Runtime adapter that spawns ``claude`` CLI sub-agents for coding tasks.
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Used when a TaskBrief has preferred_runtime == "coding_agent".
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Credentials are inherited from the environment (``ANTHROPIC_API_KEY``).
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The ``claude`` CLI must be installed and reachable on PATH.
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Expects the Claude Code CLI / Agent SDK to be available in the environment.
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Credentials are inherited from the environment (ANTHROPIC_API_KEY).
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Used when a TaskBrief has ``preferred_runtime == "coding_agent"``.
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"""
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def __init__(self, config: dict) -> None:
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# TODO (Phase 2): Accept loaded team.yaml config dict.
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# Validate that Claude Code CLI or SDK is accessible.
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# Initialise any agent session management state.
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raise NotImplementedError("ClaudeCodeRuntimeAdapter.__init__ is not yet implemented.")
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"""
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Initialise the Claude Code runtime adapter.
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Parameters
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----------
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config : Loaded team.yaml config dict (reserved for future options).
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"""
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self._config = config
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# Maps job_id → running Popen instance.
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self._jobs: dict[str, subprocess.Popen] = {}
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self._lock = threading.Lock()
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# ------------------------------------------------------------------
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# RuntimeAdapter interface
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# ------------------------------------------------------------------
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def spawn(self, task: str, capability: str, context: dict) -> str:
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# TODO (Phase 2): Launch a Claude Code sub-agent.
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# Compose a structured system prompt from task + context.
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# Inject relevant files and constraints as tool context.
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# Return an agent_id that maps to a running agent session.
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raise NotImplementedError("ClaudeCodeRuntimeAdapter.spawn is not yet implemented.")
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"""
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Launch ``claude --permission-mode bypassPermissions --print "<task>"``
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as a non-interactive subprocess.
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Parameters
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----------
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task : Full task description (typically a JSON-serialised brief).
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capability : Capability hint (not forwarded; Claude Code resolves its
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own model from the local environment).
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context : Optional keys:
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workdir (str) — cwd for the subprocess. A fresh
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temporary directory is created if omitted.
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Returns
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-------
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A UUID job_id string that uniquely identifies this subprocess.
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"""
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workdir: str = context.get("workdir") or tempfile.mkdtemp(
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prefix="agency-claude-"
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)
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job_id = str(uuid.uuid4())
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logger.info("Spawning Claude Code job %s in %s", job_id, workdir)
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proc = subprocess.Popen(
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["claude", "--permission-mode", "bypassPermissions", "--print", task],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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cwd=workdir,
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)
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with self._lock:
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self._jobs[job_id] = proc
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return job_id
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def get_result(self, agent_id: str, timeout_s: int) -> dict:
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# TODO (Phase 2): Await the Claude Code agent session to complete.
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# Parse the agent's final message for structured JSON output.
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# Return dict with: {"status": ..., "output": ..., "artifacts": [...]}.
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# Raise TimeoutError if timeout_s elapses.
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raise NotImplementedError("ClaudeCodeRuntimeAdapter.get_result is not yet implemented.")
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"""
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Wait for the Claude Code subprocess to complete and return its output.
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Parameters
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----------
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agent_id : Job id returned by spawn().
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timeout_s : Maximum seconds to wait before raising TimeoutError.
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Returns
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-------
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dict with keys:
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status ("completed" | "failed")
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output (str — full stdout)
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artifacts (list — always empty; callers must parse output)
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stderr (str — full stderr)
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Raises
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------
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KeyError
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If agent_id does not correspond to a known job.
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TimeoutError
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If the subprocess does not finish within timeout_s seconds.
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"""
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with self._lock:
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proc = self._jobs.get(agent_id)
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if proc is None:
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raise KeyError(f"No Claude Code job found for agent_id={agent_id!r}")
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try:
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stdout, stderr = proc.communicate(timeout=timeout_s)
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except subprocess.TimeoutExpired:
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proc.kill()
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stdout, stderr = proc.communicate()
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raise TimeoutError(
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f"Claude Code job {agent_id!r} did not complete within {timeout_s}s."
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)
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status = "completed" if proc.returncode == 0 else "failed"
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logger.info(
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"Claude Code job %s finished: status=%s returncode=%d",
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agent_id,
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status,
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proc.returncode,
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)
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return {
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"status": status,
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"output": stdout,
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"artifacts": [],
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"stderr": stderr,
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}
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def kill(self, agent_id: str) -> None:
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# TODO (Phase 2): Terminate the Claude Code agent session.
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# Clean up any temporary files or session state.
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raise NotImplementedError("ClaudeCodeRuntimeAdapter.kill is not yet implemented.")
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"""
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Terminate a running Claude Code subprocess.
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Silently succeeds if the job has already finished or the id is unknown.
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Parameters
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----------
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agent_id : Job id returned by spawn().
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"""
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with self._lock:
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proc = self._jobs.get(agent_id)
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if proc is not None:
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try:
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proc.terminate()
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logger.info("Terminated Claude Code job %s", agent_id)
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except OSError:
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pass # Process already gone — that is fine.
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@@ -1,48 +1,241 @@
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"""
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adapters/runtime/openclaw.py
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OpenClaw agent runtime adapter — Phase 2 stub.
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OpenClaw agent runtime adapter — Phase 2 implementation.
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TODO (Phase 2):
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- Implement spawn() to submit a task to an OpenClaw worker pool.
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- Implement get_result() to poll or subscribe for agent completion.
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- Implement kill() to cancel a running OpenClaw agent job.
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- Read endpoint and credentials from environment (OPENCLAW_API_KEY, OPENCLAW_URL).
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- Map capability hint to an appropriate worker class/queue.
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Spawns sub-agents by shelling out to the ``openclaw`` CLI::
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openclaw session spawn --task "<task>" --mode run
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openclaw session get <session_id>
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openclaw session kill <session_id>
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If the ``openclaw`` binary is unavailable, all methods raise
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``NotImplementedError`` with a helpful message rather than crashing with a
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raw ``FileNotFoundError``.
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"""
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from __future__ import annotations
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import json
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import logging
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import re
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import subprocess
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import time
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from adapters.base.runtime import RuntimeAdapter
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logger = logging.getLogger(__name__)
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# Status strings from the openclaw CLI that indicate a session has finished.
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_TERMINAL_STATUSES = frozenset(
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{"done", "completed", "failed", "partial", "blocked", "error"}
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)
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class OpenClawRuntimeAdapter(RuntimeAdapter):
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"""
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Runtime adapter that dispatches agent tasks to OpenClaw workers.
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Runtime adapter that dispatches agent tasks to OpenClaw worker sessions.
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Expects environment variables:
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OPENCLAW_API_KEY — authentication token
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OPENCLAW_URL — base URL for the OpenClaw API
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All interactions use the ``openclaw`` CLI. No additional credentials are
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required beyond what OpenClaw manages in the local environment.
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"""
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def __init__(self, config: dict) -> None:
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# TODO (Phase 2): Accept loaded team.yaml config dict.
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# Extract OPENCLAW_API_KEY and OPENCLAW_URL from environment.
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# Initialise HTTP client and any job-tracking state.
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raise NotImplementedError("OpenClawRuntimeAdapter.__init__ is not yet implemented.")
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"""
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Initialise the OpenClaw runtime adapter.
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Parameters
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----------
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config : Loaded team.yaml config dict (reserved for future options).
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"""
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self._config = config
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# ------------------------------------------------------------------
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# RuntimeAdapter interface
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# ------------------------------------------------------------------
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def spawn(self, task: str, capability: str, context: dict) -> str:
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# TODO (Phase 2): Submit task to OpenClaw worker pool.
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# Map capability ("reasoning-heavy" | "capable" | "fast-cheap") to
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# an appropriate worker queue or model hint.
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# Return an agent_id string that can be used to poll for results.
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raise NotImplementedError("OpenClawRuntimeAdapter.spawn is not yet implemented.")
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"""
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Spawn an OpenClaw agent session for the given task.
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Parameters
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----------
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task : Natural-language task description.
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capability : Capability hint ("reasoning-heavy" | "capable" | "fast-cheap").
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Passed informally; actual routing is handled by OpenClaw.
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context : Arbitrary context bag (currently unused by this adapter).
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Returns
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-------
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session_id string parsed from the CLI output.
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Raises
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------
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NotImplementedError
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If the ``openclaw`` CLI is not available on PATH.
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RuntimeError
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If the session_id cannot be parsed from the CLI output.
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"""
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# TODO: map capability to an openclaw worker tier / model hint if the
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# openclaw CLI gains that flag in a future release.
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cmd = ["openclaw", "session", "spawn", "--task", task, "--mode", "run"]
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try:
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result = subprocess.run(
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cmd,
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capture_output=True,
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text=True,
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check=True,
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)
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except FileNotFoundError:
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raise NotImplementedError(
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"openclaw CLI not found on PATH. "
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"Install OpenClaw or configure a different runtime adapter "
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"(e.g. adapters.runtime.claude_code.ClaudeCodeRuntimeAdapter)."
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)
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except subprocess.CalledProcessError as exc:
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raise RuntimeError(
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f"openclaw session spawn failed (exit {exc.returncode}): "
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f"{exc.stderr.strip()}"
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) from exc
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return self._parse_session_id(result.stdout)
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def get_result(self, agent_id: str, timeout_s: int) -> dict:
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# TODO (Phase 2): Poll or long-poll the OpenClaw API for job completion.
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# Raise TimeoutError if timeout_s elapses before the job finishes.
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# Return a dict with at minimum: {"status": ..., "output": ..., "artifacts": [...]}.
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raise NotImplementedError("OpenClawRuntimeAdapter.get_result is not yet implemented.")
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"""
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Poll ``openclaw session get`` until the session reaches a terminal
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state or *timeout_s* seconds elapse.
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Parameters
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----------
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agent_id : Session ID returned by spawn().
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timeout_s : Maximum seconds to wait before raising TimeoutError.
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Returns
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-------
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dict with keys: ``status``, ``output``, ``artifacts``.
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Raises
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------
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TimeoutError
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If the session does not finish within timeout_s seconds.
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NotImplementedError
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If the ``openclaw`` CLI is not available on PATH.
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"""
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deadline = time.monotonic() + timeout_s
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poll_interval = 2.0
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while time.monotonic() < deadline:
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try:
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result = subprocess.run(
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["openclaw", "session", "get", agent_id],
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capture_output=True,
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text=True,
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timeout=15,
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)
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except FileNotFoundError:
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raise NotImplementedError(
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"openclaw CLI not found on PATH. "
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"Install OpenClaw or switch to a different runtime adapter."
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)
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except subprocess.TimeoutExpired:
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logger.debug("openclaw session get timed out; will retry")
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time.sleep(poll_interval)
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continue
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if result.returncode == 0 and result.stdout.strip():
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parsed = self._parse_get_output(result.stdout)
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if parsed.get("status", "").lower() in _TERMINAL_STATUSES:
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return parsed
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else:
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logger.debug(
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"openclaw session get returned exit=%d; retrying. stderr=%s",
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result.returncode,
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result.stderr.strip(),
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)
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time.sleep(poll_interval)
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raise TimeoutError(
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f"Agent {agent_id!r} did not complete within {timeout_s}s."
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)
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def kill(self, agent_id: str) -> None:
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# TODO (Phase 2): Send a cancellation request to the OpenClaw API.
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# Silently succeed if the agent has already finished.
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raise NotImplementedError("OpenClawRuntimeAdapter.kill is not yet implemented.")
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"""
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Terminate an OpenClaw session unconditionally.
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Silently succeeds if the session has already finished.
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Parameters
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----------
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agent_id : Session ID returned by spawn().
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Raises
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------
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NotImplementedError
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If the ``openclaw`` CLI is not available on PATH.
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"""
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try:
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subprocess.run(
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["openclaw", "session", "kill", agent_id],
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capture_output=True,
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text=True,
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timeout=15,
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)
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except FileNotFoundError:
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raise NotImplementedError(
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"openclaw CLI not found on PATH. "
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"Install OpenClaw or switch to a different runtime adapter."
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)
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except subprocess.TimeoutExpired:
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logger.warning("openclaw session kill timed out for agent %s", agent_id)
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# ------------------------------------------------------------------
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# Private helpers
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# ------------------------------------------------------------------
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def _parse_session_id(self, output: str) -> str:
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"""Extract a session_id from the raw stdout of ``openclaw session spawn``."""
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output = output.strip()
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# Prefer structured JSON output.
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try:
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data = json.loads(output)
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for key in ("session_id", "sessionId", "id"):
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if key in data:
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return str(data[key])
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except (json.JSONDecodeError, TypeError):
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pass
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# Regex: look for "session_id: <id>" or similar.
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m = re.search(
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r"(?:session[_\s]?id|sessionId)[:\s]+([a-zA-Z0-9_\-]+)",
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output,
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re.IGNORECASE,
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)
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if m:
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return m.group(1)
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# Last resort: return the first non-empty line.
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lines = [ln.strip() for ln in output.splitlines() if ln.strip()]
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if lines:
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return lines[0]
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raise RuntimeError(
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f"Could not parse session_id from openclaw output: {output!r}"
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)
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def _parse_get_output(self, output: str) -> dict:
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"""Parse the stdout of ``openclaw session get`` into a result dict."""
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output = output.strip()
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try:
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data = json.loads(output)
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return {
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"status": data.get("status", "done"),
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"output": data.get("output", output),
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"artifacts": data.get("artifacts", []),
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}
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except (json.JSONDecodeError, TypeError):
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# Non-JSON output — treat as completed with raw text output.
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return {
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"status": "done",
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"output": output,
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"artifacts": [],
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}
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