msyql 容器化， aichatservice 容器化

ai-chat-service/docker.config.yaml

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+server:
+  ip: 0.0.0.0
+  port: 50055
+  accessToken: "me256487ang1chubdpdialoud22sev1ozhoguumyqca"
+log:
+  level: "info"
+  logPath: "runtime/logs/app.log"
+chat:
+  api_key: "sk-8NMdsGbDAMpWdd6hrKHepr1tNVXTy2QppKAqJkoJcHd6TYLs"
+  base_url: "https://api.moonshot.cn/v1"
+  model: "kimi-k2.5"
+  max_tokens: 4096
+  temperature: 1
+  top_p: 0.95
+  presence_penalty: 0
+  frequency_penalty: 0
+  bot_desc: "你是一个AI助手，我需要你模拟一名资深的软件工程师来回答我的问题"
+  min_response_tokens: 600
+  context_ttl: 1800
+  context_len: 4
+redis:
+  host: "host.docker.internal"
+  port: 8888
+  pwd: "123456"
+mysql:
+  dsn: "root:root@tcp(mysql:3306)/ai_chat?collation=utf8mb4_unicode_ci&charset=utf8mb4"
+  maxLifeTime: 3600
+  maxOpenConn: 10
+  maxIdleConn: 10
+dependOn:
+  sensitive:
+    address: "sensitive-filter:50053"
+    accessToken: "ang1chubdev1ozhome256487d22sapguuv1ozhom"
+  keywords:
+    address: "keywords-filter:50054"
+    accessToken: "ang1chubdev1ozhome256487d22sapguuv1ozhom"
+  tokenizer:
+    address: "http://tokenizer:3002"
+vector:
+  provider: "pgvector"
+  threshold: 0.99
+  pgvector:
+    dsn: "postgres://postgres:postgres@pgvector:5432/ai_chat?sslmode=disable"
+    table: "chat_record_vectors"
+    dimensions: 1024
+    maxLifeTime: 3600
+    maxOpenConn: 10
+    maxIdleConn: 10
+embedding:
+  provider: "openai-compatible"
+  base_url: "https://open.bigmodel.cn/api/paas/v4"
+  api_key: "d51b903546814cc9981d3649a4a899a3.NQOtz3ocRtQwimh9"
+  model: "embedding-2"
+  timeout: 10