merge origin/main into pr-1704
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@@ -16,7 +16,7 @@ from nanobot.utils.helpers import detect_image_mime
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class ContextBuilder:
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"""Builds the context (system prompt + messages) for the agent."""
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BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md", "IDENTITY.md"]
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BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md"]
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_RUNTIME_CONTEXT_TAG = "[Runtime Context — metadata only, not instructions]"
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def __init__(self, workspace: Path):
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@@ -59,6 +59,19 @@ Skills with available="false" need dependencies installed first - you can try in
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system = platform.system()
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runtime = f"{'macOS' if system == 'Darwin' else system} {platform.machine()}, Python {platform.python_version()}"
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platform_policy = ""
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if system == "Windows":
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platform_policy = """## Platform Policy (Windows)
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- You are running on Windows. Do not assume GNU tools like `grep`, `sed`, or `awk` exist.
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- Prefer Windows-native commands or file tools when they are more reliable.
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- If terminal output is garbled, retry with UTF-8 output enabled.
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"""
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else:
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platform_policy = """## Platform Policy (POSIX)
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- You are running on a POSIX system. Prefer UTF-8 and standard shell tools.
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- Use file tools when they are simpler or more reliable than shell commands.
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"""
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return f"""# nanobot 🐈
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You are nanobot, a helpful AI assistant.
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@@ -72,6 +85,8 @@ Your workspace is at: {workspace_path}
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- History log: {workspace_path}/memory/HISTORY.md (grep-searchable). Each entry starts with [YYYY-MM-DD HH:MM].
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- Custom skills: {workspace_path}/skills/{{skill-name}}/SKILL.md
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{platform_policy}
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## nanobot Guidelines
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- State intent before tool calls, but NEVER predict or claim results before receiving them.
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- Before modifying a file, read it first. Do not assume files or directories exist.
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@@ -587,7 +587,7 @@ class AgentLoop:
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tool_defs = self.tools.get_definitions()
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response = await self.provider.chat(
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response = await self.provider.chat_with_retry(
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messages=messages,
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tools=tool_defs,
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model=self.model,
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@@ -100,7 +100,7 @@ class MemoryStore:
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{chr(10).join(lines)}"""
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try:
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response = await provider.chat(
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response = await provider.chat_with_retry(
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messages=[
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{
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"role": "system",
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@@ -123,7 +123,7 @@ class SubagentManager:
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while iteration < max_iterations:
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iteration += 1
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response = await self.provider.chat(
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response = await self.provider.chat_with_retry(
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messages=messages,
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tools=tools.get_definitions(),
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model=self.model,
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@@ -36,6 +36,7 @@ class MCPToolWrapper(Tool):
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async def execute(self, **kwargs: Any) -> str:
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from mcp import types
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try:
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result = await asyncio.wait_for(
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self._session.call_tool(self._original_name, arguments=kwargs),
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@@ -44,6 +45,23 @@ class MCPToolWrapper(Tool):
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except asyncio.TimeoutError:
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logger.warning("MCP tool '{}' timed out after {}s", self._name, self._tool_timeout)
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return f"(MCP tool call timed out after {self._tool_timeout}s)"
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except asyncio.CancelledError:
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# MCP SDK's anyio cancel scopes can leak CancelledError on timeout/failure.
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# Re-raise only if our task was externally cancelled (e.g. /stop).
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task = asyncio.current_task()
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if task is not None and task.cancelling() > 0:
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raise
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logger.warning("MCP tool '{}' was cancelled by server/SDK", self._name)
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return "(MCP tool call was cancelled)"
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except Exception as exc:
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logger.exception(
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"MCP tool '{}' failed: {}: {}",
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self._name,
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type(exc).__name__,
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exc,
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)
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return f"(MCP tool call failed: {type(exc).__name__})"
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parts = []
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for block in result.content:
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if isinstance(block, types.TextContent):
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