增加机器人能力

.env

@@ -9,7 +9,7 @@
 SERVER_HOST=0.0.0.0
 
 # The port for the main Flask web server.
-SERVER_PORT=5001
+SERVER_PORT=5000
 
 # The port for the WebSocket server for real-time chat.
 WEBSOCKET_PORT=8765
@@ -33,7 +33,7 @@ LOG_LEVEL=INFO
 DATABASE_URL=sqlite:///./data/tsp_assistant.db
 
 # 远程 MySQL（生产环境使用，需要时取消注释）
-# DATABASE_URL=mysql+pymysql://tsp_assistant:123456@jeason.online/tsp_assistant?charset=utf8mb4
+#DATABASE_URL=mysql+pymysql://tsp_assistant:123456@jeason.online/tsp_assistant?charset=utf8mb4
 
 # ============================================================================
 # LARGE LANGUAGE MODEL (LLM) CONFIGURATION
@@ -42,13 +42,13 @@ DATABASE_URL=sqlite:///./data/tsp_assistant.db
 LLM_PROVIDER=qwen
 
 # The API key for your chosen LLM provider.
-LLM_API_KEY=sk-c0dbefa1718d46eaa897199135066f00
+LLM_API_KEY=sk-Gce85QLROESeOWf3icd2mQnYHOrmMYojwVPQ0AubMjGQ5ZE2
 
 # The base URL for the LLM API. This is often needed for OpenAI-compatible endpoints.
-LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
+LLM_BASE_URL=https://gemini.jeason.online/v1
 
 # The specific model to use, e.g., "qwen-plus-latest", "gpt-3.5-turbo", "claude-3-sonnet-20240229"
-LLM_MODEL=qwen-plus-latest
+LLM_MODEL=gemini-2.5-flash
 
 # The temperature for the model's responses (0.0 to 2.0).
 LLM_TEMPERATURE=0.7
@@ -105,8 +105,7 @@ AI_HUMAN_RESOLUTION_CONFIDENCE=0.90
 # REDIS CACHE CONFIGURATION
 # ============================================================================
 # Redis server host (use localhost for local development)
-REDIS_HOST=localhost
+REDIS_HOST=jeason.online
-
 # Redis server port
 REDIS_PORT=6379
 
@@ -114,7 +113,7 @@ REDIS_PORT=6379
 REDIS_DB=0
 
 # Redis password (leave empty if no password)
-REDIS_PASSWORD=
+REDIS_PASSWORD=123456
 
 # Redis connection pool size
 REDIS_POOL_SIZE=10