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reduce hardcoded agent text via config-driven prompts and recall keywords
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@@ -150,7 +150,13 @@ clawgo channel test --channel telegram --to <chat_id> -m "ping"
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"heartbeat": {
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"enabled": true,
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"every_sec": 1800,
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"ack_max_chars": 64
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"ack_max_chars": 64,
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"prompt_template": "Read HEARTBEAT.md if it exists (workspace context). Follow it strictly. Do not infer or repeat old tasks from prior chats. If nothing needs attention, reply HEARTBEAT_OK."
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},
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"texts": {
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"no_response_fallback": "I've completed processing but have no response to give.",
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"think_only_fallback": "Thinking process completed.",
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"memory_recall_keywords": ["remember", "记得", "上次", "之前", "偏好", "preference", "todo", "待办", "决定", "decision"]
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},
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"context_compaction": {
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"enabled": true,
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