feat(llm): update model version and add reasoning effort parameter

config/config.py

@@ -30,7 +30,7 @@ OPENAI_EMBEDDING_MODEL = "doubao-embedding-large-text-250515"
 OPENAI_EMBEDDING_DIM = 2048
 OPENAI_EMBEDDING_KEY = os.getenv("DOUBAO_API_KEY", "YOUR_API_KEY_PLACEHOLDER_IF_NOT_IN_ENV")
 OPENAI_EMBEDDING_BASE = "https://ark.cn-beijing.volces.com/api/v3"
-OPENAI_LLM_MODEL = "doubao-seed-1-6-250615"
+OPENAI_LLM_MODEL = "doubao-seed-1-6-251015"
 
 # ---huggingface模型---
 HUGGINGFACE_KEY = "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"

memory_module/memory_integration.py

@@ -123,6 +123,7 @@ class Mem0Integration:
                     {"role": "system", "content": "你是一个乐于助人的助手，可以访问用户记忆。请使用提供的记忆来个性化你的回复。"},
                     {"role": "user", "content": enhanced_prompt}
                 ],
+                reasoning_effort="minimal",
             )
             
             assistant_response = response.choices[0].message.content