Rebase onto upstream (a4d95fd)
#12
+45
-1
@@ -21,6 +21,7 @@ from nanobot.agent.tools.message import MessageTool
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from nanobot.agent.tools.spawn import SpawnTool
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from nanobot.agent.tools.wait import WaitForSubagentsTool
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from nanobot.agent.tools.cron import CronTool
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from nanobot.agent.tools.anthropic.base import ToolResult, CLIResult
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from nanobot.agent.memory import MemoryStore
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from nanobot.agent.subagent import SubagentManager
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from nanobot.agent.visibility import sign_content, has_forged_marker, strip_all_hidden_markers
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@@ -395,8 +396,51 @@ class AgentLoop:
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args_str = json.dumps(tool_call.arguments, ensure_ascii=False)
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logger.info(f"Tool call: {tool_call.name}({args_str[:200]})")
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result = await self.tools.execute(tool_call.name, tool_call.arguments)
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# Handle different result types
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if isinstance(result, ToolResult):
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# Native Anthropic tool result
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content_parts = []
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# Add text content
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if result.output:
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text_content = result.output
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elif result.error:
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text_content = f"Error: {result.error}"
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else:
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text_content = ""
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# If both output and error, combine them
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if result.output and result.error:
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text_content = f"{result.output}\n\nError: {result.error}"
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# If there's an image, use multipart content
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if result.base64_image:
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content_parts = [
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{"type": "text", "text": text_content},
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/png",
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"data": result.base64_image,
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}
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}
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]
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tool_content = content_parts
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else:
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tool_content = text_content
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elif isinstance(result, CLIResult):
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# CLI-style tool result (text editor)
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tool_content = result.output
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else:
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# Legacy string result from function tools
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tool_content = result
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messages = self.context.add_tool_result(
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messages, tool_call.id, tool_call.name, result
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messages, tool_call.id, tool_call.name, tool_content
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)
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# Interleaved CoT: reflect before next action (skip when thinking is active)
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if not getattr(self.provider, 'thinking_budget', 0):
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