add claw-code-agent/src/plan_runtime.py and claw-code-agent/src/background_runtime.py. The agent now has a real
persistent plan runtime with update_plan, plan_get, and plan_clear, plus plan-to-task sync wired through claw-code-agent/src/ agent_tools.py, claw-code-agent/src/agent_runtime.py, claw-code-agent/src/agent_context.py, claw-code-agent/src/agent_prompting.py, and claw-code-agent/src/ agent_slash_commands.py. New local plan slash commands are /plan and /planner.
This commit is contained in:
Abdelrahman Abdallah
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from __future__ import annotations
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import json
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import tempfile
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import unittest
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from pathlib import Path
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from unittest.mock import patch
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from src.agent_runtime import LocalCodingAgent
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from src.agent_tools import build_tool_context, default_tool_registry, execute_tool
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from src.agent_types import AgentRuntimeConfig, ModelConfig
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from src.mcp_runtime import MCPRuntime
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class FakeHTTPResponse:
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def __init__(self, payload: dict[str, object]) -> None:
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self.payload = payload
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def read(self) -> bytes:
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return json.dumps(self.payload).encode('utf-8')
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def __enter__(self) -> 'FakeHTTPResponse':
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return self
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def __exit__(self, exc_type, exc, tb) -> None:
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return None
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def make_urlopen_side_effect(responses: list[dict[str, object]]):
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queued = [FakeHTTPResponse(payload) for payload in responses]
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def _fake_urlopen(request_obj, timeout=None): # noqa: ANN001
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return queued.pop(0)
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return _fake_urlopen
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class MCPRuntimeTests(unittest.TestCase):
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def test_runtime_discovers_and_reads_local_resources(self) -> None:
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with tempfile.TemporaryDirectory() as tmp_dir:
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workspace = Path(tmp_dir)
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(workspace / 'notes.txt').write_text('mcp notes\n', encoding='utf-8')
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(workspace / '.claw-mcp.json').write_text(
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(
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'{"servers":[{"name":"workspace","resources":['
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'{"uri":"mcp://workspace/notes","name":"Notes","path":"notes.txt"},'
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'{"uri":"mcp://workspace/inline","name":"Inline","text":"inline body"}'
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']}]}'
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),
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encoding='utf-8',
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)
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runtime = MCPRuntime.from_workspace(workspace)
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self.assertEqual(len(runtime.resources), 2)
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self.assertIn('Local MCP resources: 2', runtime.render_summary())
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self.assertEqual(runtime.read_resource('mcp://workspace/inline'), 'inline body')
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self.assertIn('mcp notes', runtime.read_resource('mcp://workspace/notes'))
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def test_mcp_tools_execute_against_runtime(self) -> None:
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with tempfile.TemporaryDirectory() as tmp_dir:
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workspace = Path(tmp_dir)
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(workspace / 'notes.txt').write_text('mcp notes\n', encoding='utf-8')
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(workspace / '.claw-mcp.json').write_text(
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(
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'{"servers":[{"name":"workspace","resources":['
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'{"uri":"mcp://workspace/notes","name":"Notes","path":"notes.txt"}'
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']}]}'
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),
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encoding='utf-8',
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)
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runtime = MCPRuntime.from_workspace(workspace)
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context = build_tool_context(
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AgentRuntimeConfig(cwd=workspace),
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mcp_runtime=runtime,
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)
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list_result = execute_tool(
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default_tool_registry(),
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'mcp_list_resources',
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{},
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context,
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)
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read_result = execute_tool(
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default_tool_registry(),
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'mcp_read_resource',
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{'uri': 'mcp://workspace/notes'},
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context,
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)
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self.assertTrue(list_result.ok)
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self.assertIn('mcp://workspace/notes', list_result.content)
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self.assertTrue(read_result.ok)
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self.assertIn('mcp notes', read_result.content)
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def test_agent_can_use_mcp_tools_in_model_loop(self) -> None:
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responses = [
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{
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'choices': [
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{
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'message': {
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'role': 'assistant',
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'content': 'I will inspect the MCP resource.',
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'tool_calls': [
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{
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'id': 'call_1',
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'type': 'function',
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'function': {
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'name': 'mcp_read_resource',
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'arguments': '{"uri": "mcp://workspace/notes"}',
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},
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}
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],
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},
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'finish_reason': 'tool_calls',
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}
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],
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'usage': {'prompt_tokens': 8, 'completion_tokens': 3},
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},
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{
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'choices': [
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{
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'message': {
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'role': 'assistant',
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'content': 'The MCP resource says mcp notes.',
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},
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'finish_reason': 'stop',
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}
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],
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'usage': {'prompt_tokens': 6, 'completion_tokens': 3},
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},
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]
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with tempfile.TemporaryDirectory() as tmp_dir:
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workspace = Path(tmp_dir)
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(workspace / 'notes.txt').write_text('mcp notes\n', encoding='utf-8')
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(workspace / '.claw-mcp.json').write_text(
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(
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'{"servers":[{"name":"workspace","resources":['
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'{"uri":"mcp://workspace/notes","name":"Notes","path":"notes.txt"}'
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']}]}'
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),
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encoding='utf-8',
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)
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with patch('src.openai_compat.request.urlopen', side_effect=make_urlopen_side_effect(responses)):
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agent = LocalCodingAgent(
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model_config=ModelConfig(
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model='Qwen/Qwen3-Coder-30B-A3B-Instruct',
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base_url='http://127.0.0.1:8000/v1',
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),
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runtime_config=AgentRuntimeConfig(cwd=workspace),
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)
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result = agent.run('Read the MCP notes resource')
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self.assertEqual(result.final_output, 'The MCP resource says mcp notes.')
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self.assertEqual(result.tool_calls, 1)
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tool_message = next(
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message
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for message in result.transcript
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if message.get('role') == 'tool'
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)
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self.assertIn('mcp notes', tool_message.get('content', ''))
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