fix:修复模型配置应用错误,修复no_action执行错误
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@@ -69,11 +69,13 @@ def init_prompt():
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class MemoryActivator:
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def __init__(self):
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# TODO: API-Adapter修改标记
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self.summary_model = LLMRequest(
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model=global_config.model.memory_summary,
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temperature=0.7,
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self.key_words_model = LLMRequest(
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model=global_config.model.utils_small,
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temperature=0.5,
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request_type="memory_activator",
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)
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self.running_memory = []
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self.cached_keywords = set() # 用于缓存历史关键词
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@@ -97,7 +99,7 @@ class MemoryActivator:
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# logger.debug(f"prompt: {prompt}")
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response, (reasoning_content, model_name) = await self.summary_model.generate_response_async(prompt)
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response, (reasoning_content, model_name) = await self.key_words_model.generate_response_async(prompt)
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keywords = list(get_keywords_from_json(response))
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@@ -154,8 +154,7 @@ class ActionPlanner:
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action_data[key] = value
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if action == "no_action":
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action = "no_reply"
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reasoning = "决定不使用额外动作"
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reasoning = "normal决定不使用额外动作"
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elif action not in current_available_actions:
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logger.warning(
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f"{self.log_prefix}LLM 返回了当前不可用或无效的动作: '{action}' (可用: {list(current_available_actions.keys())}),将强制使用 'no_reply'"
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@@ -70,14 +70,14 @@ class RelationshipFetcher:
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# LLM模型配置
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self.llm_model = LLMRequest(
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model=global_config.model.relation,
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request_type="relation",
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model=global_config.model.utils_small,
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request_type="relation.fetcher",
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)
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# 小模型用于即时信息提取
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self.instant_llm_model = LLMRequest(
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model=global_config.model.utils_small,
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request_type="relation.instant",
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request_type="relation.fetch",
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)
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name = get_chat_manager().get_stream_name(self.chat_id)
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