90 lines
2.2 KiB
TOML
90 lines
2.2 KiB
TOML
enable = true
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[persona]
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name = "小牛"
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persona_file = "persona/xiaoniu.txt"
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style = "自然、口语化、像群友，先回答问题，再决定是否延伸"
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emoji_probability = 0.18
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max_reply_sentences = 3
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familiarity_hint = "有熟悉感，但不过度装熟"
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[api]
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provider = "openai_compatible"
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api_base_url = "https://api.xinmeng.dpdns.org/v1"
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endpoint = "chat/completions"
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api_key = "sk-XTWwXIgo2QMyX8AwBg0NQrxaDkvQiCX8rfylfmnHID5zdjMt"
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model = "gpt-5.4"
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timeout_seconds = 45
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temperature = 0.35
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max_tokens = 120
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stream = true
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[mode]
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group_default_mode = "social"
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question_reply_timeout_sec = 12
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followup_session_window_sec = 300
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recent_context_size = 30
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allow_proactive_reply = true
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returning_member_days = 7
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long_absent_member_days = 30
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memory_lookback_days = 180
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active_context_hours = 8
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[priority]
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at_bot = 1.0
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explicit_question = 0.95
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followup = 0.90
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social_call = 0.65
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casual_topic = 0.35
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[flow]
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enable_flow_state = true
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flow_decay_per_minute = 12
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idle_threshold = 30
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warming_threshold = 55
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engaged_threshold = 90
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at_bot_boost = 40
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question_boost = 30
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followup_boost = 20
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topic_boost = 8
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returning_member_boost = 6
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response_accepted_boost = 10
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ignored_reply_penalty = 20
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over_reply_penalty = 22
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night_penalty = 30
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max_bot_reply_streak = 2
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[cooldown]
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group_reply_cooldown_sec = 90
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same_user_followup_cooldown_sec = 18
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night_silent_hours = ["01:00-07:30"]
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[memory]
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enable_member_context = true
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enable_vector_memory = true
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vector_provider = "qdrant"
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embedding_provider = "ollama"
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qdrant_url = "http://127.0.0.1:6333"
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qdrant_collection = "abot_xiaoniu_memory"
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ollama_base_url = "http://192.168.2.50:11434"
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embedding_model = "bge-m3"
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vector_top_k = 5
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max_context_memories = 2
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vector_min_score = 0.65
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vector_trigger_modes = ["returning_member", "long_absent_member", "qa_with_context", "reactivated_topic"]
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[topics]
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focus = [
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"技术", "开发", "程序", "python", "微信机器人", "脚本", "报错", "部署",
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"服务器", "docker", "数据库", "redis", "mysql", "qdrant", "ollama", "dify",
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"ai", "大模型", "接口", "插件", "自动化"
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]
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[filters]
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ignore_prefixes = ["/", "#"]
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ignore_exact = ["收到", "好的", "嗯", "哦", "6", "1", "？", "?"]
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min_text_length = 1
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[logging]
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debug = true
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