diff --git a/api/db/db_models.py b/api/db/db_models.py
index ce71f7b6ff1..5ffd738fc9d 100644
--- a/api/db/db_models.py
+++ b/api/db/db_models.py
@@ -417,6 +417,7 @@ class Meta:
 
 
 @DB.connection_context()
+@DB.lock("init_database_tables", 60)
 def init_database_tables(alter_fields=[]):
     members = inspect.getmembers(sys.modules[__name__], inspect.isclass)
     table_objs = []
@@ -428,7 +429,7 @@ def init_database_tables(alter_fields=[]):
             if not obj.table_exists():
                 logging.debug(f"start create table {obj.__name__}")
                 try:
-                    obj.create_table()
+                    obj.create_table(safe=True)
                     logging.debug(f"create table success: {obj.__name__}")
                 except Exception as e:
                     logging.exception(e)
diff --git a/api/ragflow_server.py b/api/ragflow_server.py
index f036967bccd..80480f10751 100644
--- a/api/ragflow_server.py
+++ b/api/ragflow_server.py
@@ -85,6 +85,18 @@ def signal_handler(sig, frame):
     logging.info(
         f'project base: {utils.file_utils.get_project_base_directory()}'
     )
+
+    # Warning about development mode
+    logging.warning("=" * 80)
+    logging.warning("⚠️  DEVELOPMENT MODE WARNING ⚠️")
+    logging.warning("You are running RAGFlow in development mode using FastAPI development server.")
+    logging.warning("This is NOT recommended for production environments!")
+    logging.warning("")
+    logging.warning("For production deployment, please use:")
+    logging.warning("1. Docker: The entrypoint.sh will automatically use Gunicorn WSGI")
+    logging.warning("2. Manual: gunicorn --workers 4 --bind 0.0.0.0:9380 api.wsgi:application")
+    logging.warning("=" * 80)
+
     show_configs()
     settings.init_settings()
     print_rag_settings()
@@ -137,7 +149,9 @@ def delayed_start_update_progress():
 
     # start http server
     try:
-        logging.info("RAGFlow HTTP server start...")
+        logging.warning("Starting RAGFlow HTTP server in DEVELOPMENT mode...")
+        logging.warning(
+            "Consider using Gunicorn for production: gunicorn --workers 4 --bind 0.0.0.0:9380 api.wsgi:application")
         run_simple(
             hostname=settings.HOST_IP,
             port=settings.HOST_PORT,
diff --git a/api/wsgi.py b/api/wsgi.py
new file mode 100644
index 00000000000..b45578a8105
--- /dev/null
+++ b/api/wsgi.py
@@ -0,0 +1,192 @@
+#
+#  Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+#
+
+# Gevent monkey patching - must be done before importing other modules
+import os
+if os.environ.get('GUNICORN_WORKER_CLASS') == 'gevent':
+    from gevent import monkey
+    monkey.patch_all()
+
+    # Import gevent for greenlet spawning
+    import gevent
+    from gevent import spawn
+    USE_GEVENT = True
+else:
+    USE_GEVENT = False
+
+from api.utils.log_utils import initRootLogger
+from plugin import GlobalPluginManager
+
+# Initialize logging first
+initRootLogger("ragflow_server")
+
+import logging
+import signal
+import threading
+import uuid
+from concurrent.futures import ThreadPoolExecutor
+
+from api import settings
+from api.apps import app
+from api.db.runtime_config import RuntimeConfig
+from api.db.services.document_service import DocumentService
+from api import utils
+
+from api.db.db_models import init_database_tables as init_web_db
+from api.db.init_data import init_web_data
+from api.versions import get_ragflow_version
+from api.utils import show_configs
+from rag.settings import print_rag_settings
+from rag.utils.redis_conn import RedisDistributedLock
+
+# Global variables for background tasks
+if USE_GEVENT:
+    stop_event = None
+    background_executor = None
+    background_greenlet = None
+else:
+    stop_event = threading.Event()
+    background_executor = None
+    background_greenlet = None
+
+RAGFLOW_DEBUGPY_LISTEN = int(os.environ.get('RAGFLOW_DEBUGPY_LISTEN', "0"))
+
+
+def update_progress():
+    """Background task to update document processing progress"""
+    lock_value = str(uuid.uuid4())
+    redis_lock = RedisDistributedLock("update_progress", lock_value=lock_value, timeout=60)
+    logging.info(f"update_progress lock_value: {lock_value}")
+
+    if USE_GEVENT:
+        # Use gevent sleep and loop for greenlet compatibility
+        while True:
+            try:
+                if redis_lock.acquire():
+                    DocumentService.update_progress()
+                    redis_lock.release()
+                gevent.sleep(6)  # Use gevent.sleep instead of stop_event.wait
+            except Exception:
+                logging.exception("update_progress exception")
+                redis_lock.release()
+                break
+    else:
+        # Traditional threading approach
+        while not stop_event.is_set():
+            try:
+                if redis_lock.acquire():
+                    DocumentService.update_progress()
+                    redis_lock.release()
+                stop_event.wait(6)
+            except Exception:
+                logging.exception("update_progress exception")
+            finally:
+                redis_lock.release()
+
+
+def signal_handler(sig, frame):
+    """Handle shutdown signals gracefully"""
+    logging.info("Received shutdown signal, stopping background tasks...")
+
+    if USE_GEVENT:
+        # Kill the background greenlet
+        global background_greenlet
+        if background_greenlet and not background_greenlet.dead:
+            background_greenlet.kill()
+    else:
+        # Traditional threading approach
+        stop_event.set()
+        if hasattr(background_executor, 'shutdown'):
+            background_executor.shutdown(wait=False)
+
+    logging.info("Background tasks stopped")
+    exit(0)
+
+
+def initialize_ragflow():
+    """Initialize RAGFlow application"""
+    global background_executor
+
+    logging.info(r"""
+        ____   ___    ______ ______ __               
+       / __ \ /   |  / ____// ____// /____  _      __
+      / /_/ // /| | / / __ / /_   / // __ \| | /| / /
+     / _, _// ___ |/ /_/ // __/  / // /_/ /| |/ |/ / 
+    /_/ |_|/_/  |_|\____//_/    /_/ \____/ |__/|__/                             
+
+    """)
+    logging.info(f'RAGFlow version: {get_ragflow_version()}')
+    logging.info(f'project base: {utils.file_utils.get_project_base_directory()}')
+
+    show_configs()
+    settings.init_settings()
+    print_rag_settings()
+
+    if RAGFLOW_DEBUGPY_LISTEN > 0:
+        logging.info(f"debugpy listen on {RAGFLOW_DEBUGPY_LISTEN}")
+        import debugpy
+        debugpy.listen(("0.0.0.0", RAGFLOW_DEBUGPY_LISTEN))
+
+    # Initialize database
+    init_web_db()
+    init_web_data()
+
+    # Initialize runtime config
+    RuntimeConfig.DEBUG = False  # Force production mode for WSGI
+    RuntimeConfig.init_env()
+    RuntimeConfig.init_config(JOB_SERVER_HOST=settings.HOST_IP, HTTP_PORT=settings.HOST_PORT)
+
+    # Load plugins
+    GlobalPluginManager.load_plugins()
+
+    # Set up signal handlers
+    signal.signal(signal.SIGINT, signal_handler)
+    signal.signal(signal.SIGTERM, signal_handler)
+
+    # Start background progress update task
+    if USE_GEVENT:
+        # Use gevent spawn for greenlet-based execution
+        global background_greenlet
+        background_greenlet = spawn(update_progress)
+        logging.info("Started document progress update task in gevent mode")
+    else:
+        # Use thread pool for traditional threading
+        background_executor = ThreadPoolExecutor(max_workers=1)
+        background_executor.submit(update_progress)
+        logging.info("Started document progress update task in threading mode")
+
+    logging.info("RAGFlow WSGI application initialized successfully in production mode")
+
+
+# Initialize the application when module is imported
+initialize_ragflow()
+
+# Export the Flask app for WSGI
+application = app
+
+if __name__ == '__main__':
+    # This should not be used in production
+    logging.warning("Running WSGI module directly - this is not recommended for production")
+    from werkzeug.serving import run_simple
+
+    run_simple(
+        hostname=settings.HOST_IP,
+        port=settings.HOST_PORT,
+        application=app,
+        threaded=True,
+        use_reloader=False,
+        use_debugger=False,
+    )
\ No newline at end of file
diff --git a/conf/gunicorn.conf.py b/conf/gunicorn.conf.py
new file mode 100644
index 00000000000..bcf1a4988b6
--- /dev/null
+++ b/conf/gunicorn.conf.py
@@ -0,0 +1,79 @@
+# Gunicorn configuration file for RAGFlow production deployment
+import multiprocessing
+import os
+from api import settings
+from rag.utils.infinity_conn import InfinityConnection
+from graphrag import search as kg_search
+from rag.nlp import search
+
+# Server socket
+bind = f"{os.environ.get('RAGFLOW_HOST_IP', '0.0.0.0')}:{os.environ.get('RAGFLOW_HOST_PORT', '9380')}"
+backlog = 2048
+
+# Worker processes
+workers = int(os.environ.get('GUNICORN_WORKERS', min(multiprocessing.cpu_count() * 2 + 1, 8)))
+worker_class = 'gevent'
+
+# Gevent-specific settings
+worker_connections = 1000
+timeout = 300
+keepalive = 10
+max_requests = 2000
+max_requests_jitter = 200
+
+preload_app = False
+
+# Logging
+accesslog = '-'
+errorlog = '-'
+loglevel = 'info'
+access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s" %(D)s'
+
+# Process naming
+proc_name = 'ragflow_gunicorn'
+
+# Server mechanics
+daemon = False
+pidfile = '/tmp/ragflow_gunicorn.pid'
+tmp_upload_dir = None
+
+# Security
+limit_request_line = 8192
+limit_request_fields = 200
+limit_request_field_size = 8190
+
+# Performance tuning for RAGFlow
+worker_tmp_dir = '/dev/shm'  # Use memory for temporary files if available
+
+# SSL (if needed)
+# keyfile = None
+# certfile = None
+
+# Environment variables that gunicorn should pass to workers
+raw_env = [
+    'PYTHONPATH=/ragflow/',
+]
+
+def when_ready(server):
+    """Called just after the server is started."""
+    server.log.info("RAGFlow Gunicorn server is ready. Production mode active.")
+
+def worker_int(worker):
+    """Called just after a worker exited on SIGINT or SIGQUIT."""
+    worker.log.info("RAGFlow worker received INT or QUIT signal")
+
+def pre_fork(server, worker):
+    """Called just before a worker is forked."""
+    server.log.info("RAGFlow worker about to be forked")
+
+def post_fork(server, worker):
+    """Called just after a worker has been forked."""
+    server.log.info("RAGFlow worker spawned (pid: %s)", worker.pid)
+    if os.environ.get("DOC_ENGINE") == "infinity":
+        settings.docStoreConn = InfinityConnection()
+        settings.retrievaler = search.Dealer(settings.docStoreConn)
+        settings.kg_retrievaler = kg_search.KGSearch(settings.docStoreConn)
+
+def worker_abort(worker):
+    """Called when a worker received the SIGABRT signal."""
+    worker.log.info("RAGFlow worker received SIGABRT signal")
\ No newline at end of file
diff --git a/docker/.env b/docker/.env
index 675e1704dc0..6d0cdc937b6 100644
--- a/docker/.env
+++ b/docker/.env
@@ -181,3 +181,17 @@ REGISTER_ENABLED=1
 # COMPOSE_PROFILES=infinity,sandbox
 #    - For OpenSearch:
 # COMPOSE_PROFILES=opensearch,sandbox
+
+# Gunicorn settings
+# ENABLE_GUNICORN controls whether the API server runs under Gunicorn.
+#   1 - use Gunicorn (production mode)
+#   0 - run `python api/ragflow_server.py` (development mode)
+ENABLE_GUNICORN=0
+
+# GUNICORN_MODE chooses the Gunicorn worker class.
+#   gevent - asynchronous workers based on greenlets (default)
+#   sync   - standard synchronous workers; no gevent monkey patching
+GUNICORN_MODE=gevent
+
+# Number of Gunicorn worker processes
+GUNICORN_WORKERS=4
\ No newline at end of file
diff --git a/docker/entrypoint.sh b/docker/entrypoint.sh
index 53868daaeb7..37059c2a5e7 100755
--- a/docker/entrypoint.sh
+++ b/docker/entrypoint.sh
@@ -30,6 +30,9 @@ ENABLE_MCP_SERVER=0
 CONSUMER_NO_BEG=0
 CONSUMER_NO_END=0
 WORKERS=1
+GUNICORN_WORKERS=${GUNICORN_WORKERS:-4} # Number of Gunicorn workers for the web server
+ENABLE_GUNICORN=${ENABLE_GUNICORN:-1}  # Whether to start the web server via Gunicorn
+GUNICORN_MODE=${GUNICORN_MODE:-gevent} # Gunicorn worker class (gevent or sync)
 
 MCP_HOST="127.0.0.1"
 MCP_PORT=9382
@@ -157,17 +160,6 @@ function start_mcp_server() {
 # Start components based on flags
 # -----------------------------------------------------------------------------
 
-if [[ "${ENABLE_WEBSERVER}" -eq 1 ]]; then
-    echo "Starting nginx..."
-    /usr/sbin/nginx
-
-    echo "Starting ragflow_server..."
-    while true; do
-        "$PY" api/ragflow_server.py
-    done &
-fi
-
-
 if [[ "${ENABLE_MCP_SERVER}" -eq 1 ]]; then
     start_mcp_server
 fi
@@ -189,4 +181,50 @@ if [[ "${ENABLE_TASKEXECUTOR}" -eq 1 ]]; then
     fi
 fi
 
+
+# Should be the final step
+if [[ "${ENABLE_WEBSERVER}" -eq 1 ]]; then
+    echo "Starting nginx..."
+    /usr/sbin/nginx
+
+    if [[ "${ENABLE_GUNICORN}" -eq 1 ]]; then
+        echo "Starting ragflow_server with Gunicorn (Production Mode)..."
+        # Get host and port from environment variables or use defaults
+        RAGFLOW_HOST=${RAGFLOW_HOST_IP:-0.0.0.0}
+        RAGFLOW_PORT=${RAGFLOW_HOST_PORT:-9380}
+        GUNICORN_WORKERS=${GUNICORN_WORKERS:-4}
+        GUNICORN_TIMEOUT=${GUNICORN_TIMEOUT:-120}
+
+        # Set environment variable for worker class
+        export GUNICORN_WORKER_CLASS=${GUNICORN_MODE}
+
+        echo "Gunicorn config: Workers=${GUNICORN_WORKERS}, Host=${RAGFLOW_HOST}, Port=${RAGFLOW_PORT}, Worker Class=${GUNICORN_MODE}"
+
+        # Check if gunicorn config file exists and use it, otherwise use command line options
+        if [[ -f "/ragflow/conf/gunicorn.conf.py" ]]; then
+            echo "Using Gunicorn configuration file..."
+            exec gunicorn --config /ragflow/conf/gunicorn.conf.py 'api.wsgi:application'
+        else
+            echo "Using Gunicorn command line configuration..."
+            # Start gunicorn with our WSGI application
+            exec gunicorn --workers ${GUNICORN_WORKERS} \
+                           --worker-class ${GUNICORN_MODE} \
+                           --worker-connections 1000 \
+                           --max-requests 1000 \
+                           --max-requests-jitter 100 \
+                           --timeout ${GUNICORN_TIMEOUT} \
+                           --keep-alive 2 \
+                           --preload \
+                           --bind ${RAGFLOW_HOST}:${RAGFLOW_PORT} \
+                           --access-logfile - \
+                           --error-logfile - \
+                           --log-level info \
+                           'api.wsgi:application'
+        fi
+    else
+        echo "Starting ragflow_server in development mode..."
+        exec "$PY" api/ragflow_server.py
+    fi
+fi
+
 wait
diff --git a/docker/launch_backend_service.sh b/docker/launch_backend_service.sh
index c76381fa85e..61c422c68c1 100644
--- a/docker/launch_backend_service.sh
+++ b/docker/launch_backend_service.sh
@@ -91,25 +91,17 @@ task_exe(){
     fi
 }
 
-# Function to execute ragflow_server with retry logic
+# Function to execute ragflow_server with Gunicorn
 run_server(){
-    local retry_count=0
-    while ! $STOP && [ $retry_count -lt $MAX_RETRIES ]; do
-        echo "Starting ragflow_server.py (Attempt $((retry_count+1)))"
-        $PY api/ragflow_server.py
-        EXIT_CODE=$?
-        if [ $EXIT_CODE -eq 0 ]; then
-            echo "ragflow_server.py exited successfully."
-            break
-        else
-            echo "ragflow_server.py failed with exit code $EXIT_CODE. Retrying..." >&2
-            retry_count=$((retry_count + 1))
-            sleep 2
-        fi
-    done
-
-    if [ $retry_count -ge $MAX_RETRIES ]; then
-        echo "ragflow_server.py failed after $MAX_RETRIES attempts. Exiting..." >&2
+    echo "Starting ragflow_server with Gunicorn..."
+    # GUNICORN_WORKERS, RAGFLOW_HOST_IP, RAGFLOW_HOST_PORT can be set in .env file
+    # Defaults are provided if they are not set.
+    gunicorn --workers ${GUNICORN_WORKERS:-4} \
+             --bind ${RAGFLOW_HOST_IP:-0.0.0.0}:${RAGFLOW_HOST_PORT:-9380} \
+             --preload 'api.apps:app'
+    EXIT_CODE=$?
+    if [ $EXIT_CODE -ne 0 ]; then
+        echo "Gunicorn failed with exit code $EXIT_CODE. Exiting..." >&2
         cleanup
     fi
 }
diff --git a/docs/production_deployment_zh.md b/docs/production_deployment_zh.md
new file mode 100644
index 00000000000..02d11c77d95
--- /dev/null
+++ b/docs/production_deployment_zh.md
@@ -0,0 +1,153 @@
+# RAGFlow 生产环境部署指南
+
+## 概述
+
+RAGFlow 已从开发模式（FastAPI开发服务器）切换到生产模式（Gunicorn WSGI服务器）。本文档说明如何在生产环境中部署RAGFlow。
+
+## 生产模式特性
+
+- ✅ 使用 Gunicorn WSGI 服务器替代开发服务器
+- ✅ 多进程工作模式，提升并发性能
+- ✅ 自动重启机制，防止内存泄漏
+- ✅ 完整的错误日志和访问日志
+- ✅ 生产级别的安全和性能配置
+- ✅ 保留所有原有的初始化操作
+
+## Docker 部署（推荐）
+
+### 自动生产模式
+
+使用Docker时，`entrypoint.sh` 会自动使用Gunicorn启动生产模式：
+
+```bash
+# 默认启动（自动使用生产模式）
+docker run -d ragflow:latest
+
+# 自定义worker数量
+docker run -d -e GUNICORN_WORKERS=8 ragflow:latest
+
+# 自定义主机和端口
+docker run -d -e RAGFLOW_HOST_IP=0.0.0.0 -e RAGFLOW_HOST_PORT=9380 ragflow:latest
+```
+
+### 环境变量配置
+
+- `GUNICORN_WORKERS`: Gunicorn worker进程数（默认: 4）
+- `RAGFLOW_HOST_IP`: 绑定IP地址（默认: 0.0.0.0）
+- `RAGFLOW_HOST_PORT`: 绑定端口（默认: 9380）
+
+## 手动部署
+
+### 方式一：使用WSGI应用（推荐）
+
+```bash
+# 安装依赖
+pip install -r requirements.txt
+
+# 使用Gunicorn启动
+gunicorn --config conf/gunicorn.conf.py api.wsgi:application
+
+# 或者使用命令行参数
+gunicorn --workers 4 --bind 0.0.0.0:9380 --preload api.wsgi:application
+```
+
+### 方式二：使用配置文件
+
+```bash
+# 使用自定义配置文件
+gunicorn --config /path/to/your/gunicorn.conf.py api.wsgi:application
+```
+
+### 方式三：开发模式（不推荐生产环境）
+
+```bash
+# 仅用于开发和调试
+python api/ragflow_server.py
+```
+
+## 配置说明
+
+### Gunicorn 配置文件
+
+位置：`conf/gunicorn.conf.py`
+
+主要配置项：
+- `workers`: 根据CPU核心数自动计算
+- `worker_class`: 同步工作模式
+- `timeout`: 120秒超时
+- `max_requests`: 1000请求后重启worker
+- `preload_app`: 预加载应用提升性能
+
+### 性能调优
+
+1. **Worker数量**：通常设置为 `CPU核心数 × 2 + 1`
+2. **内存使用**：每个worker大约需要200-500MB内存
+3. **超时设置**：根据实际请求处理时间调整
+4. **连接数**：根据并发需求调整
+
+## 监控和日志
+
+### 日志配置
+
+- 访问日志：输出到stdout，包含详细的请求信息
+- 错误日志：输出到stderr，包含异常和错误信息
+- 应用日志：RAGFlow应用的业务日志
+
+### 健康检查
+
+```bash
+# 检查服务状态
+curl http://localhost:9380/health
+
+# 检查API版本
+curl http://localhost:9380/api/v1/version
+```
+
+## 常见问题
+
+### Q: 如何验证是否在生产模式运行？
+
+A: 查看日志输出，生产模式会显示：
+```
+RAGFlow Gunicorn server is ready. Production mode active.
+```
+
+### Q: 如何调整worker数量？
+
+A: 设置环境变量 `GUNICORN_WORKERS` 或修改配置文件中的 `workers` 参数。
+
+### Q: 开发模式和生产模式的区别？
+
+A: 
+- 开发模式：使用Werkzeug开发服务器，单进程，有调试功能
+- 生产模式：使用Gunicorn WSGI服务器，多进程，优化性能和稳定性
+
+### Q: 如何回退到开发模式？
+
+A: 直接运行 `python api/ragflow_server.py`，但不推荐在生产环境使用。
+
+## 安全建议
+
+1. 使用反向代理（如Nginx）处理静态文件和SSL
+2. 设置合适的防火墙规则
+3. 定期更新依赖包
+4. 监控系统资源使用情况
+5. 配置日志轮转避免磁盘空间不足
+
+## 故障排除
+
+### 启动失败
+
+1. 检查端口是否被占用
+2. 检查权限设置
+3. 查看错误日志
+4. 验证依赖包安装
+
+### 性能问题
+
+1. 调整worker数量
+2. 检查内存使用情况
+3. 优化数据库连接
+4. 监控网络延迟
+
+更多问题请参考项目文档或提交Issue。 
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 72aa7ba76cb..8f4b6589653 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -126,6 +126,8 @@ dependencies = [
     "mcp>=1.6.0",
     "opensearch-py==2.7.1",
     "pluginlib==0.9.4",
+    "gunicorn>=21.2.0,<22.0.0",
+    "gevent>=23.9.0,<24.0.0",
 ]
 
 [project.optional-dependencies]
diff --git a/uv.lock b/uv.lock
index 0246b27d2e4..b81ee57213a 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1720,6 +1720,47 @@ wheels = [
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 ]
 
+[[package]]
+name = "gevent"
+version = "23.9.1"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+dependencies = [
+    { name = "cffi", marker = "platform_python_implementation == 'CPython' and sys_platform == 'win32'" },
+    { name = "greenlet", marker = "platform_python_implementation == 'CPython'" },
+    { name = "zope-event" },
+    { name = "zope-interface" },
+]
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/8e/ce/d2b9a376ee010f6d548bf1b6b6eddc372a175e6e100896e607c57e37f7cf/gevent-23.9.1.tar.gz", hash = "sha256:72c002235390d46f94938a96920d8856d4ffd9ddf62a303a0d7c118894097e34" }
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+    { url = "https://mirrors.aliyun.com/pypi/packages/5f/4f/cb6fded9aa92a76add5772fc29247c01b15ca561652302bf8b6fa61a3b4a/gevent-23.9.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fde6402c5432b835fbb7698f1c7f2809c8d6b2bd9d047ac1f5a7c1d5aa569303" },
+    { url = "https://mirrors.aliyun.com/pypi/packages/5c/c9/d415c260f4e916b851ad2a4e504cfa3212c4a6d13358fd356a4ac6da9230/gevent-23.9.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:dd6c32ab977ecf7c7b8c2611ed95fa4aaebd69b74bf08f4b4960ad516861517d" },
+    { url = "https://mirrors.aliyun.com/pypi/packages/43/9f/fc088a53e85b46630ac01af3247ccc4d14548cb9d9881705cc54f48543aa/gevent-23.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:455e5ee8103f722b503fa45dedb04f3ffdec978c1524647f8ba72b4f08490af1" },
+]
+
 [[package]]
 name = "google"
 version = "3.0.0"
@@ -2150,6 +2191,18 @@ wheels = [
     { url = "https://mirrors.aliyun.com/pypi/packages/ad/d6/31fbc43ff097d8c4c9fc3df741431b8018f67bf8dfbe6553a555f6e5f675/grpcio_status-1.71.0-py3-none-any.whl", hash = "sha256:843934ef8c09e3e858952887467f8256aac3910c55f077a359a65b2b3cde3e68" },
 ]
 
+[[package]]
+name = "gunicorn"
+version = "21.2.0"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+dependencies = [
+    { name = "packaging" },
+]
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/06/89/acd9879fa6a5309b4bf16a5a8855f1e58f26d38e0c18ede9b3a70996b021/gunicorn-21.2.0.tar.gz", hash = "sha256:88ec8bff1d634f98e61b9f65bc4bf3cd918a90806c6f5c48bc5603849ec81033" }
+wheels = [
+    { url = "https://mirrors.aliyun.com/pypi/packages/0e/2a/c3a878eccb100ccddf45c50b6b8db8cf3301a6adede6e31d48e8531cab13/gunicorn-21.2.0-py3-none-any.whl", hash = "sha256:3213aa5e8c24949e792bcacfc176fef362e7aac80b76c56f6b5122bf350722f0" },
+]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -4864,10 +4917,12 @@ dependencies = [
     { name = "flask-cors" },
     { name = "flask-login" },
     { name = "flask-session" },
+    { name = "gevent" },
     { name = "google-generativeai" },
     { name = "google-search-results" },
     { name = "graspologic" },
     { name = "groq" },
+    { name = "gunicorn" },
     { name = "hanziconv" },
     { name = "html-text" },
     { name = "httpx" },
@@ -5014,10 +5069,12 @@ requires-dist = [
     { name = "flask-cors", specifier = "==5.0.0" },
     { name = "flask-login", specifier = "==0.6.3" },
     { name = "flask-session", specifier = "==0.8.0" },
+    { name = "gevent", specifier = ">=23.9.0,<24.0.0" },
     { name = "google-generativeai", specifier = ">=0.8.1,<0.9.0" },
     { name = "google-search-results", specifier = "==2.4.2" },
     { name = "graspologic", specifier = ">=3.4.1,<4.0.0" },
     { name = "groq", specifier = "==0.9.0" },
+    { name = "gunicorn", specifier = ">=21.2.0,<22.0.0" },
     { name = "hanziconv", specifier = "==0.3.2" },
     { name = "html-text", specifier = "==0.6.2" },
     { name = "httpx", specifier = "==0.27.0" },
@@ -6867,6 +6924,47 @@ wheels = [
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 ]
 
+[[package]]
+name = "zope-event"
+version = "5.0"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+dependencies = [
+    { name = "setuptools" },
+]
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+wheels = [
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+]
+
+[[package]]
+name = "zope-interface"
+version = "7.2"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+dependencies = [
+    { name = "setuptools" },
+]
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