refactor: replace <SILENT_OK> with structured post-run evaluation
- Add nanobot/utils/evaluator.py: lightweight LLM tool-call to decide notify/silent after background task execution - Remove magic token injection from heartbeat and cron prompts - Clean session history (no more <SILENT_OK> pollution) - Add tests for evaluator and updated heartbeat three-phase flow
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@@ -448,14 +448,14 @@ def gateway(
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"""Execute a cron job through the agent."""
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from nanobot.agent.tools.cron import CronTool
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from nanobot.agent.tools.message import MessageTool
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from nanobot.utils.evaluator import evaluate_response
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reminder_note = (
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"[Scheduled Task] Timer finished.\n\n"
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f"Task '{job.name}' has been triggered.\n"
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f"Scheduled instruction: {job.payload.message}"
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"**IMPORTANT NOTICE:** If there is nothing material to report, reply only with <SILENT_OK>."
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)
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# Prevent the agent from scheduling new cron jobs during execution
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cron_tool = agent.tools.get("cron")
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cron_token = None
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if isinstance(cron_tool, CronTool):
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@@ -475,13 +475,17 @@ def gateway(
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if isinstance(message_tool, MessageTool) and message_tool._sent_in_turn:
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return response
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if job.payload.deliver and job.payload.to and response and "<SILENT_OK>" not in response:
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from nanobot.bus.events import OutboundMessage
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await bus.publish_outbound(OutboundMessage(
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channel=job.payload.channel or "cli",
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chat_id=job.payload.to,
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content=response
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))
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if job.payload.deliver and job.payload.to and response:
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should_notify = await evaluate_response(
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response, job.payload.message, provider, agent.model,
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)
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if should_notify:
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from nanobot.bus.events import OutboundMessage
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await bus.publish_outbound(OutboundMessage(
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channel=job.payload.channel or "cli",
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chat_id=job.payload.to,
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content=response,
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))
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return response
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cron.on_job = on_cron_job
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