update sth at 2025-10-15 15:49:03

.replit

@@ -6,11 +6,11 @@ packages = ["cargo", "libiconv", "libxcrypt", "python311", "rustc"]
 
 # 这是第二关键的修改：我们使用 FastAPI 官方推荐的 uvicorn 来启动服务器。
 # 这将彻底解决所有兼容性问题。
-run = "uvicorn main:app --host 0.0.0.0 --port 8080"
+run = "uvicorn main:app --host 0.0.0.0 --port 7860"
 
 # 这一行保持不变。
 entrypoint = "main.py"
 
 [[ports]]
-localPort = 8080
-externalPort = 8080
+localPort = 7860
+externalPort = 7860

Dockerfile

@@ -35,11 +35,11 @@ RUN mkdir -p /app/data && \
 USER app
 
 # Expose port
-EXPOSE 8080
+EXPOSE 7860
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
-    CMD curl -f http://localhost:8080/ || exit 1
+    CMD curl -f http://localhost:7860/ || exit 1
 
 # Run the application
 CMD ["python", "main.py"]

app/core/config.py

@@ -24,7 +24,7 @@ class Settings(BaseSettings):
     GLM_46_THINKING_MODEL: str = os.getenv("GLM_46_THINKING_MODEL", "GLM-4.6-Thinking")
     
     # Server Configuration
-    LISTEN_PORT: int = int(os.getenv("LISTEN_PORT", "8080"))
+    LISTEN_PORT: int = int(os.getenv("LISTEN_PORT", "7860"))
     DEBUG_LOGGING: bool = os.getenv("DEBUG_LOGGING", "true").lower() == "true"
     
     # Feature Configuration

docker-compose.yml

@@ -16,7 +16,7 @@ services:
     deploy:
       replicas: 2
     healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8080/"]
+      test: ["CMD", "curl", "-f", "http://localhost:7860/"]
       interval: 30s
       timeout: 10s
       retries: 3

nginx.conf

@@ -8,7 +8,7 @@ http {
     upstream z_ai_workers {
         # 'z-ai2api' 是我们在 docker-compose.yml 中定义的服务名
         # Docker 的内部 DNS 会解析它，并把所有工人的 IP 地址都加进来
-        server z-ai2api:8080;
+        server z-ai2api:7860;
     }
 
     server {