llm name fix

README.md

@@ -2,6 +2,10 @@
 
 这是一个基于FastAPI的聊天API服务，使用OpenAI格式的请求来调用pipeline.invoke方法进行聊天。
 
+## Docker Installation
+
+For production deployment using Docker, see the [Installation Guide](README_INSTALL.md).
+
 ## 安装依赖
 
 ```bash
@@ -140,15 +144,35 @@ npm install
 
 ### Start the `front_apis` server
 
-The frontend talks to the `front_apis` FastAPI service, which by default listens on `http://127.0.0.1:8001`.
+The frontend talks to the `front_apis` FastAPI service, which by default listens on `http://127.0.0.1:8500`.
 
 From the project root:
 
 ```bash
-uvicorn fastapi_server.front_apis:app --reload --host 0.0.0.0 --port 8001
+uvicorn fastapi_server.front_apis:app --reload --host 0.0.0.0 --port 8500
 ```
 
-You can change the URL by setting `VITE_FRONT_API_BASE_URL` in `frontend/.env` (defaults to `http://127.0.0.1:8001`).
+Or run directly:
+```bash
+python fastapi_server/front_apis.py
+```
+
+### Backend run modes
+
+Run whichever backend mode you need from the project root:
+
+```bash
+# admin/control plane only (/v1/... frontend APIs)
+uvicorn fastapi_server.front_apis:app --reload --host 0.0.0.0 --port 8500
+
+# DashScope chat runtime only (/apps/... and /v1/apps/... APIs)
+uvicorn fastapi_server.server_dashscope:app --reload --host 0.0.0.0 --port 8588
+
+# combined mode: one process serves both front_apis + DashScope endpoints
+uvicorn fastapi_server.combined:app --reload --host 0.0.0.0 --port 8500
+```
+
+You can change the URL by setting `VITE_FRONT_API_BASE_URL` in `frontend/.env` (defaults to `/`, i.e. same-origin).
 
 ### Start the development server
 

README_INSTALL.md

@@ -0,0 +1,267 @@
+# Installation Guide
+
+This guide explains how to install and run the LangChain Agent application using Docker.
+
+## Prerequisites
+
+- Docker (version 20.10 or later)
+- Docker Compose (version 2.0 or later, or use `docker compose` command)
+
+## Quick Start
+
+1. **Run the installation script:**
+   ```bash
+   ./scripts/shell_scripts/install.sh
+   ```
+
+   This script will:
+   - Check for required tools (Docker, docker-compose)
+   - Create a `.env` file with default configuration
+   - Build Docker images (or use pre-loaded images)
+   - Start all services (PostgreSQL, Backend API, Nginx)
+
+2. **Access the application:**
+   - Frontend: http://localhost (or http://localhost:80)
+   - Backend API: http://localhost:8500
+   - Database: localhost:5432
+
+## Installation for China / Offline Use
+
+If Docker Hub is slow or inaccessible in your region:
+
+### Option 1: Use Chinese Docker Mirrors
+
+Configure Docker to use Chinese registry mirrors:
+
+```bash
+sudo tee /etc/docker/daemon.json <<EOF
+{
+  "registry-mirrors": [
+    "https://registry.docker-cn.com",
+    "https://mirror.ccsogou.com",
+    "https://docker.1ms.run"
+  ]
+}
+EOF
+sudo systemctl daemon-reload
+sudo systemctl restart docker
+```
+
+Then run `./scripts/shell_scripts/install.sh`
+
+### configuring '.env' and 'frontend/.env'
+```bash
+ALI_API_KEY="API_KEY_FOR_ALI_QWEN"
+ALI_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
+POSTGRES_ROOT_PASSWORD="ROOT_PASSOWRD_FOR_DB_IN_CONN_STR - required for installation"
+POSTGRES_PASSWORD="USER_PASSWORD_FOR_DB_CONN_STR - required for installation" - need to be same in POSTGRES_PASSWORD
+CONN_STR="CONNECTION_STRING_TO_DATABASE" # DOCKER PASSWORD
+FAST_AUTH_KEYS="API_KEY_FOR_OTHER_APPLICATIONS_TO_USE_BUILT_PIPELINE"
+DAYTONA_API_KEY="DAYTONA_CONFIG - NOT REQUIRED"
+```
+
+### Option 2: Pre-load Docker Images Offline
+
+1. On a machine with good Docker Hub access, run:
+   ```bash
+   ./scripts/shell_scripts/download_images.sh
+   ```
+   This creates `images.tar` with all required images.
+
+2. Transfer `images.tar` to your target machine.
+
+3. Load the images:
+   ```bash
+   docker load < images.tar
+   ```
+
+4. Run the install script:
+   ```bash
+   ./scripts/shell_scripts/install.sh
+   ```
+
+## Manual Installation
+
+If you prefer to set up manually:
+
+1. **Create environment file:**
+   ```bash
+   cp .env.example .env  # Edit as needed
+   ```
+
+2. **Build and start services:**
+   ```bash
+   cd docker
+   docker compose -f docker-compose.prod.yml up -d --build
+   ```
+
+3. **Check service status:**
+   ```bash
+   cd docker
+   docker compose -f docker-compose.prod.yml ps
+   ```
+
+## Configuration
+
+Edit the `.env` file to customize:
+
+- `POSTGRES_DB`: Database name (default: `ai_conversations`)
+- `POSTGRES_USER`: Database user (default: `myapp_user`)
+- `POSTGRES_PASSWORD`: Database password (default: `secure_password_123`)
+- `POSTGRES_PORT`: PostgreSQL port (default: `5432`)
+- `BACKEND_PORT`: Backend API port (default: `8500`)
+- `FRONTEND_PORT`: Frontend web server port (default: `80`)
+
+## Database Initialization
+
+The database is automatically initialized when the PostgreSQL container starts for the first time. The following SQL scripts are executed in order:
+
+1. `scripts/init_database/00_init_user.sh` - Creates database user and database
+2. `scripts/init_database/create_conv_store.sql` - Creates conversation storage tables
+3. `scripts/init_database/create_prompt_config.sql` - Creates prompt configuration tables
+
+## Service Management
+
+All commands run from the `docker/` directory:
+
+### View logs:
+```bash
+cd docker
+docker compose -f docker-compose.prod.yml logs -f
+
+# Specific service
+docker compose -f docker-compose.prod.yml logs -f backend
+docker compose -f docker-compose.prod.yml logs -f postgres
+docker compose -f docker-compose.prod.yml logs -f nginx
+```
+
+### Stop services:
+```bash
+cd docker
+docker compose -f docker-compose.prod.yml down
+```
+
+### Restart services:
+```bash
+cd docker
+docker compose -f docker-compose.prod.yml restart
+```
+
+### Rebuild after code changes:
+```bash
+cd docker
+docker compose -f docker-compose.prod.yml up -d --build
+```
+
+### Reset database (delete all data):
+```bash
+cd docker
+docker compose -f docker-compose.prod.yml down -v
+docker compose -f docker-compose.prod.yml up -d
+```
+
+## Architecture
+
+The application consists of three main services:
+
+1. **PostgreSQL** (`postgres`): Database server
+   - Stores conversations and prompt configurations
+   - Automatically initializes schema on first run
+
+2. **Backend** (`backend`): FastAPI application
+   - Serves API endpoints at port 8500
+   - Handles agent management and chat endpoints
+   - Connects to PostgreSQL database
+
+3. **Nginx** (`nginx`): Web server
+   - Serves the React frontend (port 80)
+   - Proxies API requests to the backend
+   - Handles static file serving
+
+## Project Structure
+
+```
+langchain-agent/
+├── docker/
+│   ├── docker-compose.prod.yml   # Production compose file
+│   └── Dockerfile.prod           # Backend Docker image
+├── scripts/
+│   ├── shell_scripts/
+│   │   ├── install.sh            # Main installation script
+│   │   └── download_images.sh    # For offline image download
+│   └── init_database/            # Database initialization scripts
+├── frontend/                     # React frontend
+├── configs/                      # Pipeline configurations
+├── nginx.conf                    # Nginx configuration
+└── .env                         # Environment variables
+```
+
+## Troubleshooting
+
+### Database connection issues
+
+If the backend can't connect to the database:
+
+1. Check that PostgreSQL is running:
+   ```bash
+   docker compose -f docker-compose.prod.yml ps postgres
+   ```
+
+2. Verify the connection string in `.env` matches the database configuration
+
+3. Check backend logs:
+   ```bash
+   docker compose -f docker-compose.prod.yml logs backend
+   ```
+
+### Frontend not loading / NetworkError
+
+1. Check nginx logs:
+   ```bash
+   docker compose -f docker-compose.prod.yml logs nginx
+   ```
+
+2. Ensure frontend is built with correct API base URL. The `frontend/.env` file should contain:
+   ```
+   VITE_FRONT_API_BASE_URL=/
+   ```
+   Then rebuild: `docker compose -f docker-compose.prod.yml build backend`
+
+### Port conflicts
+
+If ports are already in use, update the port mappings in `.env`:
+
+```bash
+# Example: use port 5433 for PostgreSQL
+POSTGRES_PORT=5433
+```
+
+## Development
+
+For development, you may want to run services separately:
+
+1. Start only PostgreSQL:
+   ```bash
+   cd docker
+   docker compose -f docker-compose.prod.yml up -d postgres
+   ```
+
+2. Run backend locally:
+   ```bash
+   export CONN_STR="postgresql://myapp_user:secure_password_123@localhost:5432/ai_conversations"
+   python -m uvicorn lang_agent.fastapi_server.combined:app --reload --host 0.0.0.0 --port 8500
+   ```
+
+3. Run frontend locally:
+   ```bash
+   cd frontend
+   npm install
+   npm run dev
+   ```
+
+Note: For local frontend development, create a `.env` file in `frontend/` with:
+   ```
+   VITE_FRONT_API_BASE_URL=http://localhost:8500
+   ```
+
+

configs/prompts/deepagent.txt

@@ -1,3 +1,7 @@
-you are a helpful bot enhanced with skills.
+You are a helpful bot enhanced with skills.
+
 To use a skill, read its SKILL.md file using the read_file tool. Skills are NOT tools — they are instructions for using existing tools.
-Skills with available="false" need dependencies installed first - you can try installing them with apt/brew. You can check if the environment the packages you need.
+
+When using a skill, assume required tools (e.g., npx, curl) are available and execute the commands directly. If a command fails because a tool is missing, install the missing dependency using apt/brew and retry.
+
+For shell commands (e.g., npx, curl), use the execute tool to run them.

docker/Dockerfile.frontend

@@ -0,0 +1,19 @@
+FROM node:20-alpine
+
+WORKDIR /app
+
+RUN npm config set registry https://registry.npmmirror.com
+
+# Build-time API base for Vite (must be set before npm run build).
+ARG VITE_FRONT_API_BASE_URL=/
+ENV VITE_FRONT_API_BASE_URL=${VITE_FRONT_API_BASE_URL}
+
+COPY package*.json ./
+RUN npm install
+
+COPY . .
+RUN npm run build && \
+    mkdir -p /opt/frontend_dist && \
+    cp -r dist/. /opt/frontend_dist/
+
+CMD ["sh", "-c", "rm -rf /app/dist/* && cp -r /opt/frontend_dist/. /app/dist && ls /app/dist"]

docker/Dockerfile.prod

@@ -0,0 +1,93 @@
+# Multi-stage Dockerfile for production deployment
+# Stage 1: Build frontend
+FROM node:20-alpine AS frontend-builder
+
+WORKDIR /app/frontend
+
+# Copy frontend files
+COPY frontend/package*.json ./
+RUN npm ci
+
+COPY frontend/ ./
+RUN npm run build
+
+# Stage 2: Python backend
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN set -eux; \
+    for source_file in /etc/apt/sources.list /etc/apt/sources.list.d/*.list /etc/apt/sources.list.d/*.sources; do \
+        if [ -f "$source_file" ]; then \
+            sed -i 's|deb.debian.org|mirrors.aliyun.com|g' "$source_file"; \
+            sed -i 's|security.debian.org|mirrors.aliyun.com|g' "$source_file"; \
+        fi; \
+    done; \
+    apt-get update; \
+    apt-get install -y --no-install-recommends \
+        postgresql-client \
+        curl; \
+    rm -rf /var/lib/apt/lists/*
+
+# Copy Python dependencies
+COPY pyproject.toml ./
+RUN pip install --no-cache-dir --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple && \
+    pip install --no-cache-dir -e . -i https://pypi.tuna.tsinghua.edu.cn/simple
+
+# Copy application code
+COPY lang_agent/ ./lang_agent/
+COPY configs/ ./configs/
+COPY scripts/ ./scripts/
+COPY assets/ ./assets/
+COPY static/ ./static/
+
+# Copy built frontend from stage 1
+COPY --from=frontend-builder /app/frontend/dist ./frontend/dist
+
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV PYTHONUNBUFFERED=1
+
+# Expose port
+EXPOSE 8500
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
+    CMD curl -f http://localhost:8500/health || exit 1
+
+# Create entrypoint script to wait for DB
+# Uses Python to check database connection (more reliable than psql)
+RUN echo '#!/bin/bash\n\
+set -e\n\
+echo "Waiting for database to be ready..."\n\
+python3 << EOF\n\
+import sys\n\
+import time\n\
+import psycopg\n\
+\n\
+max_attempts = 30\n\
+conn_str = "${CONN_STR}"\n\
+\n\
+for i in range(max_attempts):\n\
+    try:\n\
+        with psycopg.connect(conn_str, connect_timeout=2) as conn:\n\
+            with conn.cursor() as cur:\n\
+                cur.execute("SELECT 1")\n\
+        print("Database is ready!")\n\
+        sys.exit(0)\n\
+    except Exception as e:\n\
+        if i == max_attempts - 1:\n\
+            print(f"Warning: Database not ready after {max_attempts * 2} seconds, continuing anyway...")\n\
+            print(f"Error: {e}")\n\
+            sys.exit(0)\n\
+        print(f"Database is unavailable - sleeping (attempt {i+1}/{max_attempts})")\n\
+        time.sleep(2)\n\
+EOF\n\
+exec "$@"' > /entrypoint.sh && chmod +x /entrypoint.sh
+
+ENTRYPOINT ["/entrypoint.sh"]
+
+# Run the combined server
+CMD ["python", "-m", "uvicorn", "lang_agent.fastapi_server.combined:app", "--host", "0.0.0.0", "--port", "8500"]
+

docker/docker-compose.prod.yml

@@ -0,0 +1,100 @@
+version: '3.8'
+
+services:
+  # PostgreSQL database
+  postgres:
+    image: postgres:16-alpine
+    container_name: langchain-agent-db
+    networks:
+      - app-network
+    environment:
+      POSTGRES_DB: postgres
+      POSTGRES_USER: postgres
+      POSTGRES_PASSWORD: ${POSTGRES_ROOT_PASSWORD:-postgres_root_password}
+      # These are used by init scripts to create the app database
+      APP_DB_NAME: ${POSTGRES_DB:-ai_conversations}
+      APP_DB_USER: ${POSTGRES_USER:-myapp_user}
+      APP_DB_PASSWORD: ${POSTGRES_PASSWORD:-secure_password_123}
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+      - ../scripts/init_database:/docker-entrypoint-initdb.d
+    ports:
+      - "${POSTGRES_PORT:-5434}:5432"
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U postgres"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    restart: no #unless-stopped
+
+  # Backend API server
+  backend:
+    build:
+      context: ..
+      dockerfile: docker/Dockerfile.prod
+    container_name: langchain-agent-backend
+    environment:
+      - PYTHONPATH=/app
+      - PYTHONUNBUFFERED=1
+      - CONN_STR=postgresql://${POSTGRES_USER:-myapp_user}:${POSTGRES_PASSWORD:-secure_password_123}@postgres:5432/${POSTGRES_DB:-ai_conversations}
+      - POSTGRES_USER=${POSTGRES_USER:-myapp_user}
+      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-secure_password_123}
+      - POSTGRES_DB=${POSTGRES_DB:-ai_conversations}
+    ports:
+      - "${BACKEND_PORT:-8500}:8500"
+    volumes:
+      - ../configs:/app/configs
+      - ../scripts:/app/scripts
+      - ../assets:/app/assets
+      - ../static:/app/static
+    networks:
+      - app-network
+    depends_on:
+      postgres:
+        condition: service_healthy
+    restart: no #unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8500/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 40s
+
+  # Frontend build service
+  frontend:
+    build:
+      context: ../frontend
+      dockerfile: ../docker/Dockerfile.frontend
+      args:
+        VITE_FRONT_API_BASE_URL: ${VITE_FRONT_API_BASE_URL:-/}
+    volumes:
+      - frontend_dist:/app/dist
+    networks:
+      - app-network
+
+  # Nginx for serving frontend (optional - can also serve via FastAPI)
+  nginx:
+    image: nginx:alpine
+    container_name: langchain-agent-nginx
+    networks:
+      - app-network
+    ports:
+      - "${FRONTEND_PORT:-8080}:80"
+    volumes:
+      - ../nginx.conf:/etc/nginx/nginx.conf:ro
+      - frontend_dist:/usr/share/nginx/html:ro
+    depends_on:
+      frontend:
+        condition: service_completed_successfully
+      backend:
+        condition: service_started
+    restart: no #unless-stopped
+
+volumes:
+  postgres_data:
+  frontend_dist:
+
+networks:
+  app-network:
+    driver: bridge
+

frontend/src/App.tsx

@@ -36,20 +36,29 @@ type EditableAgent = {
   pipelineId: string;
   promptSetId?: string;
   toolKeys: string[];
+  toolKeysInput: string;
   prompts: Record<string, string>;
   apiKey: string;
   llmName: string;
   actBackend: DeepAgentActBackend;
+  fileBackendConfig: FileBackendConfig;
 };
 
 type AgentChatMessage = {
   id: string;
-  role: "user" | "assistant";
+  role: "user" | "assistant" | "tool";
   content: string;
 };
 
 type ActiveTab = "agents" | "discussions" | "mcp";
 type DeepAgentActBackend = "state_bk" | "local_shell" | "daytona_sandbox";
+
+type FileBackendConfig = {
+  skills_dir: string;
+  rt_skills_dir: string;
+  workspace_dir?: string;
+  api_key?: string;
+};
 type McpTransport = "streamable_http" | "sse" | "stdio";
 type McpEntry = {
   id: string;
@@ -73,7 +82,24 @@ const DEEPAGENT_BACKEND_OPTIONS: Array<{
   { value: "local_shell", label: "local_shell" },
   { value: "daytona_sandbox", label: "daytona_sandbox" },
 ];
-const LOCAL_DASHSCOPE_BASE = "http://127.0.0.1:8500/v1/apps";
+
+const DEFAULT_FILE_BACKEND_CONFIG: Record<DeepAgentActBackend, FileBackendConfig> = {
+  state_bk: {
+    skills_dir: "./assets/skills",
+    rt_skills_dir: "/skills",
+  },
+  local_shell: {
+    skills_dir: "./workspace/skills",
+    rt_skills_dir: "/skills",
+    workspace_dir: "./workspace",
+  },
+  daytona_sandbox: {
+    skills_dir: "./workspace/skills",
+    rt_skills_dir: "",
+    api_key: "",
+  },
+};
+const LOCAL_DASHSCOPE_BASE = "/v1/apps";
 const MCP_TRANSPORT_OPTIONS: McpTransport[] = ["streamable_http", "sse", "stdio"];
 const GRAPH_ARCH_IMAGE_MODULES = import.meta.glob(
   "../assets/images/graph_arch/*.{png,jpg,jpeg,webp,gif}",
@@ -426,6 +452,28 @@ function createConversationId(): string {
   return `conv-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
 }
 
+function mapConversationMessageToAgentChatMessage(
+  message: ConversationMessageItem
+): AgentChatMessage | null {
+  const type = (message.message_type || "").toLowerCase();
+  let role: AgentChatMessage["role"] | null = null;
+  if (type === "human" || type === "user") {
+    role = "user";
+  } else if (type === "ai" || type === "assistant") {
+    role = "assistant";
+  } else if (type === "tool") {
+    role = "tool";
+  }
+  if (!role) {
+    return null;
+  }
+  return {
+    id: `${message.sequence_number}-${message.created_at}-${role}`,
+    role,
+    content: message.content || "",
+  };
+}
+
 function normalizeDeepAgentActBackend(value: unknown): DeepAgentActBackend {
   if (value === "local_shell" || value === "localshell") {
     return "local_shell";
@@ -439,9 +487,68 @@ function normalizeDeepAgentActBackend(value: unknown): DeepAgentActBackend {
   return DEFAULT_DEEPAGENT_ACT_BACKEND;
 }
 
+function getDefaultFileBackendConfig(
+  backend: DeepAgentActBackend
+): FileBackendConfig {
+  return { ...DEFAULT_FILE_BACKEND_CONFIG[backend] };
+}
+
+function isRecord(value: unknown): value is Record<string, unknown> {
+  return typeof value === "object" && value !== null && !Array.isArray(value);
+}
+
+function readOptionalString(
+  record: Record<string, unknown>,
+  key: keyof FileBackendConfig
+): string | undefined {
+  const value = record[key];
+  return typeof value === "string" ? value : undefined;
+}
+
+function getDeepAgentEditorState(config: GraphConfigReadResponse): {
+  actBackend: DeepAgentActBackend;
+  fileBackendConfig: FileBackendConfig;
+} {
+  const graphParams = isRecord(config.graph_params) ? config.graph_params : {};
+  const actBackend = normalizeDeepAgentActBackend(graphParams.act_bkend);
+  const defaults = getDefaultFileBackendConfig(actBackend);
+  const rawFileBackendConfig = isRecord(graphParams.file_backend_config)
+    ? graphParams.file_backend_config
+    : null;
+
+  if (!rawFileBackendConfig) {
+    return {
+      actBackend,
+      fileBackendConfig: defaults,
+    };
+  }
+
+  return {
+    actBackend,
+    fileBackendConfig: {
+      ...defaults,
+      ...(readOptionalString(rawFileBackendConfig, "skills_dir") !== undefined
+        ? { skills_dir: readOptionalString(rawFileBackendConfig, "skills_dir") as string }
+        : {}),
+      ...(readOptionalString(rawFileBackendConfig, "rt_skills_dir") !== undefined
+        ? { rt_skills_dir: readOptionalString(rawFileBackendConfig, "rt_skills_dir") as string }
+        : {}),
+      ...(readOptionalString(rawFileBackendConfig, "workspace_dir") !== undefined
+        ? { workspace_dir: readOptionalString(rawFileBackendConfig, "workspace_dir") as string }
+        : {}),
+      ...(readOptionalString(rawFileBackendConfig, "api_key") !== undefined
+        ? { api_key: readOptionalString(rawFileBackendConfig, "api_key") as string }
+        : {}),
+    },
+  };
+}
+
 function buildGraphParams(editor: EditableAgent): Record<string, unknown> {
   if (editor.graphId === "deepagent") {
-    return { act_bkend: editor.actBackend };
+    return { 
+      act_bkend: editor.actBackend,
+      file_backend_config: editor.fileBackendConfig,
+    };
   }
   return {};
 }
@@ -450,6 +557,7 @@ function toEditable(
   config: GraphConfigReadResponse,
   draft: boolean
 ): EditableAgent {
+  const deepAgentState = getDeepAgentEditorState(config);
   return {
     id: draft
       ? `draft-${Date.now()}-${Math.random().toString(36).slice(2, 6)}`
@@ -459,10 +567,12 @@ function toEditable(
     pipelineId: config.pipeline_id,
     promptSetId: config.prompt_set_id,
     toolKeys: config.tool_keys || [],
+    toolKeysInput: (config.tool_keys || []).join(", "),
     prompts: config.prompt_dict || {},
     apiKey: config.api_key || DEFAULT_API_KEY,
     llmName: DEFAULT_LLM_NAME,
-    actBackend: DEFAULT_DEEPAGENT_ACT_BACKEND,
+    actBackend: deepAgentState.actBackend,
+    fileBackendConfig: deepAgentState.fileBackendConfig,
   };
 }
 
@@ -750,10 +860,15 @@ export default function App() {
           graphId,
           prompts: { ...defaults.prompt_dict },
           toolKeys: defaults.tool_keys || [],
+          toolKeysInput: (defaults.tool_keys || []).join(", "),
           actBackend:
             graphId === "deepagent"
               ? prev.actBackend || DEFAULT_DEEPAGENT_ACT_BACKEND
               : DEFAULT_DEEPAGENT_ACT_BACKEND,
+          fileBackendConfig:
+            graphId === "deepagent"
+              ? prev.fileBackendConfig || getDefaultFileBackendConfig(DEFAULT_DEEPAGENT_ACT_BACKEND)
+              : getDefaultFileBackendConfig(DEFAULT_DEEPAGENT_ACT_BACKEND),
         };
         if (next.isDraft) {
           setDraftAgents((drafts) => drafts.map((draft) => (draft.id === next.id ? next : draft)));
@@ -787,6 +902,24 @@ export default function App() {
     setEditorAndSyncDraft((prev) => ({ ...prev, [key]: value }));
   }
 
+  function updateActBackend(newBackend: DeepAgentActBackend): void {
+    setEditorAndSyncDraft((prev) => ({
+      ...prev,
+      actBackend: newBackend,
+    fileBackendConfig: getDefaultFileBackendConfig(newBackend),
+    }));
+  }
+
+  function updateFileBackendConfig(key: keyof FileBackendConfig, value: string): void {
+    setEditorAndSyncDraft((prev) => ({
+      ...prev,
+      fileBackendConfig: {
+        ...prev.fileBackendConfig,
+        [key]: value,
+      },
+    }));
+  }
+
   function updatePrompt(key: string, value: string): void {
     setEditorAndSyncDraft((prev) => ({
       ...prev,
@@ -1116,6 +1249,7 @@ export default function App() {
 
   async function sendAgentChatMessage(): Promise<void> {
     const pipelineId = (chatPipelineId || "").trim();
+    const conversationId = chatConversationId;
     const message = chatInput.trim();
     if (!pipelineId || !message || chatSending) {
       return;
@@ -1145,7 +1279,7 @@ export default function App() {
     try {
       await streamAgentChatResponse({
         appId: pipelineId,
-        sessionId: chatConversationId,
+        sessionId: conversationId,
         apiKey: authKey,
         message,
         signal: controller.signal,
@@ -1162,6 +1296,34 @@ export default function App() {
           );
         },
       });
+      // Some runtimes namespace thread ids as "<pipeline_id>:<session_id>" when persisting.
+      // Try both IDs and fail soft so a successful streamed reply never turns into a UI error.
+      const candidateConversationIds = [
+        conversationId,
+        `${pipelineId}:${conversationId}`,
+      ];
+      let reloaded = false;
+      for (const candidateId of candidateConversationIds) {
+        try {
+          const storedMessages = await getPipelineConversationMessages(
+            pipelineId,
+            candidateId
+          );
+          const normalizedMessages = storedMessages
+            .map(mapConversationMessageToAgentChatMessage)
+            .filter((item): item is AgentChatMessage => item !== null);
+          if (normalizedMessages.length > 0) {
+            setChatMessages(normalizedMessages);
+            reloaded = true;
+            break;
+          }
+        } catch {
+          // Ignore refresh failures; keep streamed content visible.
+        }
+      }
+      if (!reloaded) {
+        // Keep existing streamed messages without surfacing a false error state.
+      }
     } catch (error) {
       if ((error as Error).message === "Request cancelled") {
         setChatMessages((prev) =>
@@ -1366,8 +1528,12 @@ export default function App() {
                 <label>
                   tool_keys (comma separated)
                   <input
-                    value={editor.toolKeys.join(", ")}
+                    value={editor.toolKeysInput}
-                    onChange={(e) => updateEditor("toolKeys", parseToolCsv(e.target.value))}
+                    onChange={(e) => {
+                      const raw = e.target.value;
+                      updateEditor("toolKeysInput", raw);
+                      updateEditor("toolKeys", parseToolCsv(raw));
+                    }}
                     placeholder="tool_a, tool_b"
                     disabled={busy}
                   />
@@ -1397,25 +1563,69 @@ export default function App() {
                 </label>
 
                 {editor.graphId === "deepagent" ? (
-                  <label>
+                  <>
-                    act_bkend
+                    <label>
-                    <select
+                      act_bkend
-                      value={editor.actBackend}
+                      <select
-                      onChange={(e) =>
+                        value={editor.actBackend}
-                        updateEditor(
+                        onChange={(e) =>
-                          "actBackend",
+                          updateActBackend(normalizeDeepAgentActBackend(e.target.value))
-                          normalizeDeepAgentActBackend(e.target.value)
+                        }
-                        )
+                        disabled={busy}
-                      }
+                      >
-                      disabled={busy}
+                        {DEEPAGENT_BACKEND_OPTIONS.map((option) => (
-                    >
+                          <option key={option.value} value={option.value}>
-                      {DEEPAGENT_BACKEND_OPTIONS.map((option) => (
+                            {option.label}
-                        <option key={option.value} value={option.value}>
+                          </option>
-                          {option.label}
+                        ))}
-                        </option>
+                      </select>
-                      ))}
+                    </label>
-                    </select>
+
-                  </label>
+                    <div className="file-backend-config">
+                      <h3>File Backend Config</h3>
+                      {editor.actBackend === "daytona_sandbox" ? (
+                        <label>
+                          api_key
+                          <input
+                            type="password"
+                            value={editor.fileBackendConfig.api_key || ""}
+                            onChange={(e) => updateFileBackendConfig("api_key", e.target.value)}
+                            placeholder="Daytona API key"
+                            disabled={busy}
+                          />
+                        </label>
+                      ) : null}
+                      {editor.actBackend === "local_shell" ? (
+                        <label>
+                          workspace_dir
+                          <input
+                            value={editor.fileBackendConfig.workspace_dir || ""}
+                            onChange={(e) => updateFileBackendConfig("workspace_dir", e.target.value)}
+                            placeholder="./workspace"
+                            disabled={busy}
+                          />
+                        </label>
+                      ) : null}
+                      <label>
+                        skills_dir
+                        <input
+                          value={editor.fileBackendConfig.skills_dir || ""}
+                          onChange={(e) => updateFileBackendConfig("skills_dir", e.target.value)}
+                          placeholder="./assets/skills"
+                          disabled={busy}
+                        />
+                      </label>
+                      <label>
+                        rt_skills_dir
+                        <input
+                          value={editor.fileBackendConfig.rt_skills_dir || ""}
+                          onChange={(e) => updateFileBackendConfig("rt_skills_dir", e.target.value)}
+                          placeholder="/skills"
+                          disabled={busy}
+                        />
+                      </label>
+                    </div>
+                  </>
                 ) : null}
 
                 <div className="prompt-section">
@@ -1748,9 +1958,15 @@ export default function App() {
                 chatMessages.map((message) => (
                   <article
                     key={message.id}
-                    className={`chat-modal-message ${message.role === "assistant" ? "assistant" : "user"}`}
+                    className={`chat-modal-message ${message.role}`}
                   >
-                    <strong>{message.role === "assistant" ? "Agent" : "You"}</strong>
+                    <strong>
+                      {message.role === "assistant"
+                        ? "Agent"
+                        : message.role === "tool"
+                          ? "Tool"
+                          : "You"}
+                    </strong>
                     <div className="chat-message-content">
                       <ReactMarkdown remarkPlugins={[remarkGfm]}>
                         {message.content || (chatSending && message.role === "assistant" ? "..." : "")}

frontend/src/api/frontApis.test.ts

@@ -0,0 +1,22 @@
+import { describe, expect, it } from "vitest";
+
+import { joinApiUrl } from "./frontApis";
+
+describe("joinApiUrl", () => {
+  it("keeps same-origin paths when base url is slash", () => {
+    expect(joinApiUrl("/", "/v1/pipelines")).toBe("/v1/pipelines");
+  });
+
+  it("joins absolute host and trims trailing slash", () => {
+    expect(joinApiUrl("http://127.0.0.1:8500/", "/v1/pipelines")).toBe(
+      "http://127.0.0.1:8500/v1/pipelines"
+    );
+  });
+
+  it("accepts path without leading slash", () => {
+    expect(joinApiUrl("http://127.0.0.1:8500", "v1/pipelines")).toBe(
+      "http://127.0.0.1:8500/v1/pipelines"
+    );
+  });
+});
+

frontend/src/api/frontApis.ts

@@ -19,8 +19,19 @@ import type {
   RuntimeAuthInfoResponse,
 } from "../types";
 
-const API_BASE_URL =
+const API_BASE_URL = import.meta.env.VITE_FRONT_API_BASE_URL?.trim() || "/";
-  import.meta.env.VITE_FRONT_API_BASE_URL?.trim() || "http://127.0.0.1:8500";
+
+export function joinApiUrl(baseUrl: string, path: string): string {
+  const normalizedPath = path.startsWith("/") ? path : `/${path}`;
+  const normalizedBase = baseUrl.trim();
+
+  // "/" is commonly used in Docker+nginx builds and should resolve as same-origin.
+  if (!normalizedBase || normalizedBase === "/") {
+    return normalizedPath;
+  }
+
+  return `${normalizedBase.replace(/\/+$/, "")}${normalizedPath}`;
+}
 
 // Log which backend the frontend is targeting on startup, with file + line hint.
 // This runs once when the module is loaded.
@@ -30,7 +41,8 @@ console.info(
 );
 
 async function fetchJson<T>(path: string, init?: RequestInit): Promise<T> {
-  const response = await fetch(`${API_BASE_URL}${path}`, {
+  const url = joinApiUrl(API_BASE_URL, path);
+  const response = await fetch(url, {
     headers: {
       "Content-Type": "application/json",
       ...(init?.headers || {}),
@@ -49,7 +61,24 @@ async function fetchJson<T>(path: string, init?: RequestInit): Promise<T> {
     }
     throw new Error(message);
   }
-  return (await response.json()) as T;
+
+  if (response.status === 204) {
+    return undefined as T;
+  }
+
+  const bodyText = await response.text();
+  if (!bodyText.trim()) {
+    return undefined as T;
+  }
+
+  try {
+    return JSON.parse(bodyText) as T;
+  } catch {
+    const preview = bodyText.slice(0, 160).replace(/\s+/g, " ").trim();
+    throw new Error(
+      `Expected JSON response from ${url}, but received non-JSON content: ${preview || "<empty>"}`
+    );
+  }
 }
 
 export function listAvailableGraphs(): Promise<AvailableGraphsResponse> {
@@ -189,7 +218,10 @@ export async function streamAgentChatResponse(
 ): Promise<string> {
   const { appId, sessionId, apiKey, message, onText, signal } = options;
   const response = await fetch(
-    `${API_BASE_URL}/v1/apps/${encodeURIComponent(appId)}/sessions/${encodeURIComponent(sessionId)}/responses`,
+    joinApiUrl(
+      API_BASE_URL,
+      `/v1/apps/${encodeURIComponent(appId)}/sessions/${encodeURIComponent(sessionId)}/responses`
+    ),
     {
       method: "POST",
       headers: {

frontend/src/styles.css

@@ -224,6 +224,7 @@ button:disabled {
 }
 
 .prompt-section,
+.file-backend-config,
 .run-info {
   border: 1px solid #dbe2ea;
   border-radius: 10px;
@@ -232,6 +233,7 @@ button:disabled {
 }
 
 .prompt-section h3,
+.file-backend-config h3,
 .run-info h3 {
   margin-top: 0;
 }
@@ -609,6 +611,10 @@ button:disabled {
   border-left: 3px solid #26a269;
 }
 
+.chat-modal-message.tool {
+  border-left: 3px solid #8e6bd8;
+}
+
 .chat-modal-message p {
   margin: 6px 0 0 0;
   white-space: pre-wrap;

frontend/src/types.ts

@@ -23,6 +23,7 @@ export type GraphConfigReadResponse = {
   tool_keys: string[];
   prompt_dict: Record<string, string>;
   api_key: string;
+  graph_params?: Record<string, unknown>;
 };
 
 export type GraphConfigUpsertRequest = {

frontend/tsconfig.tsbuildinfo

@@ -1 +1 @@
-{"root":["./src/App.tsx","./src/activeConfigSelection.test.ts","./src/activeConfigSelection.ts","./src/main.tsx","./src/types.ts","./src/vite-env.d.ts","./src/api/frontApis.ts"],"version":"5.9.3"}
+{"root":["./src/App.tsx","./src/activeConfigSelection.test.ts","./src/activeConfigSelection.ts","./src/main.tsx","./src/types.ts","./src/vite-env.d.ts","./src/api/frontApis.test.ts","./src/api/frontApis.ts"],"version":"5.9.3"}

frontend/vite.config.js

@@ -4,5 +4,15 @@ export default defineConfig({
     plugins: [react()],
     server: {
         port: 5173,
+        proxy: {
+            "/v1": {
+                target: "http://127.0.0.1:8500",
+                changeOrigin: true,
+            },
+            "/apps": {
+                target: "http://127.0.0.1:8500",
+                changeOrigin: true,
+            },
+        },
     },
 });

frontend/vite.config.ts

@@ -5,6 +5,16 @@ export default defineConfig({
   plugins: [react()],
   server: {
     port: 5173,
+    proxy: {
+      "/v1": {
+        target: "http://127.0.0.1:8500",
+        changeOrigin: true,
+      },
+      "/apps": {
+        target: "http://127.0.0.1:8500",
+        changeOrigin: true,
+      },
+    },
   },
 });
 

lang_agent/config/__init__.py

@@ -4,6 +4,7 @@ from lang_agent.config.core_config import (
     LLMKeyConfig,
     LLMNodeConfig,
     load_tyro_conf,
+    resolve_llm_api_key,
 )
 
 from lang_agent.config.constants import (

lang_agent/config/core_config.py

@@ -10,6 +10,20 @@ from dotenv import load_dotenv
 
 load_dotenv()
 
+
+def resolve_llm_api_key(api_key: Optional[str]) -> Optional[str]:
+    """Resolve the API key for OpenAI-compatible providers."""
+    if api_key not in (None, "", "wrong-key"):
+        resolved_key = api_key
+    else:
+        resolved_key = os.environ.get("ALI_API_KEY") or os.environ.get("OPENAI_API_KEY")
+
+    # Some OpenAI-compatible integrations still read OPENAI_API_KEY from env.
+    if resolved_key and not os.environ.get("OPENAI_API_KEY"):
+        os.environ["OPENAI_API_KEY"] = resolved_key
+
+    return resolved_key
+
 ## NOTE: base classes taken from nerfstudio
 class PrintableConfig:
     """
@@ -99,12 +113,12 @@ class LLMKeyConfig(InstantiateConfig):
     """api key for llm"""
 
     def __post_init__(self):
-        if self.api_key == "wrong-key" or self.api_key is None:
+        original_api_key = self.api_key
-            self.api_key = os.environ.get("ALI_API_KEY")
+        self.api_key = resolve_llm_api_key(self.api_key)
-            if self.api_key is None:
+        if self.api_key is None:
-                logger.error(f"no ALI_API_KEY provided for embedding")
+            logger.error("no ALI_API_KEY or OPENAI_API_KEY provided for embedding")
-            else:
+        elif original_api_key in (None, "", "wrong-key"):
-                logger.info("ALI_API_KEY loaded from environ")
+            logger.info("LLM API key loaded from environment")
 
 
 @dataclass

lang_agent/fastapi_server/front_apis.py

@@ -20,6 +20,7 @@ from lang_agent.config.constants import (
     MCP_CONFIG_DEFAULT_CONTENT,
     PIPELINE_REGISTRY_PATH,
 )
+from lang_agent.config.core_config import load_tyro_conf
 from lang_agent.front_api.build_server_utils import (
     GRAPH_BUILD_FNCS,
     update_pipeline_registry,
@@ -55,6 +56,7 @@ class GraphConfigReadResponse(BaseModel):
     tool_keys: List[str]
     prompt_dict: Dict[str, str]
     api_key: str = Field(default="")
+    graph_params: Dict[str, Any] = Field(default_factory=dict)
 
 
 class GraphConfigListItem(BaseModel):
@@ -325,6 +327,81 @@ def _normalize_pipeline_spec(pipeline_id: str, spec: Dict[str, Any]) -> Pipeline
     )
 
 
+def _resolve_config_path(config_file: str) -> str:
+    if osp.isabs(config_file):
+        return config_file
+    return osp.join(_PROJECT_ROOT, config_file)
+
+
+def _normalize_deepagent_backend_name(file_backend_config: Any) -> Optional[str]:
+    if file_backend_config is None:
+        return None
+
+    type_names = {
+        type(file_backend_config).__name__.lower(),
+        getattr(getattr(file_backend_config, "_target", None), "__name__", "").lower(),
+    }
+    if any("statebk" in name for name in type_names):
+        return "state_bk"
+    if any("localshell" in name for name in type_names):
+        return "local_shell"
+    if any("daytona" in name for name in type_names):
+        return "daytona_sandbox"
+    return None
+
+
+def _extract_graph_params_from_config(graph_id: Optional[str], loaded_cfg: Any) -> Dict[str, Any]:
+    if graph_id != "deepagent":
+        return {}
+
+    graph_config = getattr(loaded_cfg, "graph_config", None)
+    file_backend_config = getattr(graph_config, "file_backend_config", None)
+    if file_backend_config is None:
+        return {}
+
+    graph_params: Dict[str, Any] = {}
+    act_bkend = _normalize_deepagent_backend_name(file_backend_config)
+    if act_bkend:
+        graph_params["act_bkend"] = act_bkend
+
+    serialized_backend_config: Dict[str, Any] = {}
+    for key in ("skills_dir", "rt_skills_dir", "workspace_dir", "api_key"):
+        value = getattr(file_backend_config, key, None)
+        if value is not None:
+            serialized_backend_config[key] = value
+
+    if serialized_backend_config:
+        graph_params["file_backend_config"] = serialized_backend_config
+
+    return graph_params
+
+
+def _load_graph_params_for_pipeline(
+    pipeline_id: str, graph_id: Optional[str]
+) -> Dict[str, Any]:
+    try:
+        registry = _read_pipeline_registry()
+        pipeline_spec = registry.get("pipelines", {}).get(pipeline_id, {})
+        config_file = ""
+        if isinstance(pipeline_spec, dict):
+            config_file = str(pipeline_spec.get("config_file") or "").strip()
+        if not config_file:
+            fallback = osp.join(_PROJECT_ROOT, "configs", "pipelines", f"{pipeline_id}.yaml")
+            if osp.exists(fallback):
+                config_file = fallback
+        if not config_file:
+            return {}
+
+        config_path = _resolve_config_path(config_file)
+        if not osp.exists(config_path):
+            return {}
+
+        loaded_cfg = load_tyro_conf(config_path)
+        return _extract_graph_params_from_config(graph_id, loaded_cfg)
+    except Exception:
+        return {}
+
+
 def _normalize_api_key_policy(api_key: str, policy: Dict[str, Any]) -> ApiKeyPolicyItem:
     if not isinstance(policy, dict):
         raise ValueError(f"api key policy for '{api_key}' must be an object")
@@ -428,6 +505,9 @@ async def get_default_graph_config(pipeline_id: str):
         tool_keys=tool_keys,
         prompt_dict=prompt_dict,
         api_key=(active.get("api_key") or ""),
+        graph_params=_load_graph_params_for_pipeline(
+            pipeline_id, active.get("graph_id")
+        ),
     )
 
 
@@ -466,6 +546,9 @@ async def get_graph_config(pipeline_id: str, prompt_set_id: str):
         tool_keys=tool_keys,
         prompt_dict=prompt_dict,
         api_key=(meta.get("api_key") or ""),
+        graph_params=_load_graph_params_for_pipeline(
+            pipeline_id, meta.get("graph_id")
+        ),
     )
 
 

lang_agent/front_api/build_server_utils.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Literal
+from typing import Any, Dict, List, Literal, Optional
 import os
 import os.path as osp
 import subprocess
@@ -75,23 +75,42 @@ def build_route(
     **_: Any,
 ):
     cmd_opt = [
-        "--pipeline.pipeline-id", pipeline_id,
+        "--pipeline.pipeline-id",
+        pipeline_id,
+        "--pipeline.llm-name", 
+        llm_name,
         "route",  # ------------
-        "--llm-name", llm_name,
+        "--llm-name",
-        "--api-key", api_key,
+        llm_name,
-        "--pipeline-id", pipeline_id,
+        "--api-key",
-        "--prompt-set-id", prompt_set,
+        api_key,
-        "tool_node",  # ------------
+        "--pipeline-id",
-        "--llm-name", llm_name,
+        pipeline_id,
-        "--api-key", api_key,
+        "--prompt-set-id",
-        "--pipeline-id", pipeline_id,
+        prompt_set,
-        "--prompt-set-id", prompt_set,
     ]
 
     if tool_keys:
         cmd_opt.extend(
             ["--tool-manager-config.client-tool-manager.tool-keys", *tool_keys]
         )
+        # Tyro parses list options greedily across positional subcommands; repeat a
+        # parent-level option to terminate list parsing before `tool_node`.
+        cmd_opt.extend(["--pipeline-id", pipeline_id])
+
+    cmd_opt.extend(
+        [
+            "tool_node",  # ------------
+            "--llm-name",
+            llm_name,
+            "--api-key",
+            api_key,
+            "--pipeline-id",
+            pipeline_id,
+            "--prompt-set-id",
+            prompt_set,
+        ]
+    )
 
     return _build_and_load_pipeline_config(pipeline_id, pipeline_config_dir, cmd_opt)
 
@@ -106,13 +125,20 @@ def build_react(
     **_: Any,
 ):
     cmd_opt = [
-        "--pipeline.pipeline-id", pipeline_id,
+        "--pipeline.pipeline-id",
+        pipeline_id,
+        "--pipeline.llm-name", 
+        llm_name,
         "react",  # ------------
-        "--llm-name", llm_name,
+        "--llm-name",
-        "--api-key", api_key,
+        llm_name,
-        "--pipeline-id", pipeline_id,
+        "--api-key",
-        "--prompt-set-id", prompt_set,
+        api_key,
-        ]
+        "--pipeline-id",
+        pipeline_id,
+        "--prompt-set-id",
+        prompt_set,
+    ]
     if tool_keys:
         cmd_opt.extend(
             ["--tool-manager-config.client-tool-manager.tool-keys", *tool_keys]
@@ -136,6 +162,7 @@ def build_deep_agent(
         "daytona_sandbox",
         "daytonasandbox",
     ] = "state_bk",
+    file_backend_config: Optional[Dict[str, Any]] = None,
     **_: Any,
 ):
     backend_subcommand = _DEEP_AGENT_BACKEND_ALIASES.get(act_bkend)
@@ -146,22 +173,48 @@ def build_deep_agent(
         )
 
     cmd_opt = [
-        "--pipeline.pipeline-id", pipeline_id,
+        "--pipeline.pipeline-id",
+        pipeline_id,
+        "--pipeline.llm-name", 
+        llm_name,
         "deepagent",
-        "--llm-name", llm_name,
+        "--llm-name",
-        "--api-key", api_key,
+        llm_name,
-        "--pipeline-id", pipeline_id,
+        "--api-key",
-        "--prompt-set-id", prompt_set,
+        api_key,
-        backend_subcommand,
+        "--pipeline-id",
+        pipeline_id,
+        "--prompt-set-id",
+        prompt_set,
     ]
 
     if tool_keys:
         cmd_opt.extend(
             ["--tool-manager-config.client-tool-manager.tool-keys", *tool_keys]
         )
+        cmd_opt.extend(["--pipeline-id", pipeline_id])
+
+    cmd_opt.append(backend_subcommand)
+
+    if file_backend_config:
+        if "skills_dir" in file_backend_config and file_backend_config["skills_dir"]:
+            cmd_opt.extend(["--skills-dir", file_backend_config["skills_dir"]])
+        if (
+            "rt_skills_dir" in file_backend_config
+            and file_backend_config["rt_skills_dir"]
+        ):
+            cmd_opt.extend(["--rt-skills-dir", file_backend_config["rt_skills_dir"]])
+        if (
+            "workspace_dir" in file_backend_config
+            and file_backend_config["workspace_dir"]
+        ):
+            cmd_opt.extend(["--workspace-dir", file_backend_config["workspace_dir"]])
+        if "api_key" in file_backend_config and file_backend_config["api_key"]:
+            cmd_opt.extend(["--api-key", file_backend_config["api_key"]])
 
     return _build_and_load_pipeline_config(pipeline_id, pipeline_config_dir, cmd_opt)
 
+
 # {pipeline_id: build_function}
 GRAPH_BUILD_FNCS = {
     "routing": build_route,

lang_agent/fs_bkends/base.py

@@ -1,8 +1,10 @@
-from dataclasses import dataclass, field, is_dataclass
+import os
+from dataclasses import dataclass
 from typing import Any
-import tyro
-import os.path as osp
 from abc import ABC, abstractmethod
+from loguru import logger
+
+from lang_agent.config import InstantiateConfig
 
 
 class BaseFilesystemBackend(ABC):
@@ -25,4 +27,25 @@ class BaseFilesystemBackend(ABC):
         if hasattr(self.config, "rt_skills_dir"):
             return {"skills" : [self.config.rt_skills_dir]}
         else:
-            return {}
+            return {}
+
+
+@dataclass
+class FilesystemBackendConfig(InstantiateConfig):
+    """
+    Shared filesystem backend config behavior.
+    If subclasses define these fields, this hook ensures they exist:
+      - skills_dir
+      - workspace_dir
+    """
+
+    def _ensure_dir_if_present(self, attr_name: str) -> None:
+        path = getattr(self, attr_name, None)
+        if not isinstance(path, str) or not path.strip():
+            return
+        os.makedirs(path, exist_ok=True)
+        logger.info(f"Ensured {attr_name} exists: {path}")
+
+    def __post_init__(self) -> None:
+        self._ensure_dir_if_present("skills_dir")
+        self._ensure_dir_if_present("workspace_dir")

lang_agent/fs_bkends/daytona_sandbox.py

@@ -8,13 +8,12 @@ from loguru import logger
 from daytona import Daytona, DaytonaConfig, FileUpload
 from langchain_daytona import DaytonaSandbox
 
-from lang_agent.config import InstantiateConfig
+from lang_agent.fs_bkends.base import BaseFilesystemBackend, FilesystemBackendConfig
-from lang_agent.fs_bkends import BaseFilesystemBackend
 
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class DaytonaSandboxConfig(InstantiateConfig):
+class DaytonaSandboxConfig(FilesystemBackendConfig):
     _target: Type = field(default_factory=lambda: DaytonaSandboxBk)
 
     api_key: Optional[str] = None
@@ -27,6 +26,7 @@ class DaytonaSandboxConfig(InstantiateConfig):
     """runtime skills path inside the sandbox (auto-set from sandbox workdir)"""
 
     def __post_init__(self):
+        super().__post_init__()
         if self.api_key is None:
             self.api_key = os.environ.get("DAYTONA_API_KEY")
             if self.api_key is None:

lang_agent/fs_bkends/localshell.py

@@ -1,21 +1,16 @@
-from dataclasses import dataclass, field, is_dataclass
+from dataclasses import dataclass, field
-from typing import Type, TypedDict, Literal, Dict, List, Tuple, Optional
+from typing import Type
 import tyro
-import os.path as osp
-from abc import ABC, abstractmethod
-import glob
 from loguru import logger
 
-from deepagents.backends.utils import create_file_data
 from deepagents.backends import LocalShellBackend
 
-from lang_agent.config import InstantiateConfig
+from lang_agent.fs_bkends.base import BaseFilesystemBackend, FilesystemBackendConfig
-from lang_agent.fs_bkends import BaseFilesystemBackend
 
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class LocalShellConfig(InstantiateConfig):
+class LocalShellConfig(FilesystemBackendConfig):
     _target:Type = field(default_factory=lambda:LocalShell)
 
     workspace_dir:str = "./workspace"

lang_agent/fs_bkends/statebk.py

@@ -1,16 +1,14 @@
-from dataclasses import dataclass, field, is_dataclass
+from dataclasses import dataclass, field
-from typing import Type, TypedDict, Literal, Dict, List, Tuple, Optional
+from typing import Type
 import tyro
 import os.path as osp
-from abc import ABC, abstractmethod
 import glob
 from loguru import logger
 
 from deepagents.backends.utils import create_file_data
 from deepagents.backends import StateBackend
 
-from lang_agent.config import InstantiateConfig
+from lang_agent.fs_bkends.base import BaseFilesystemBackend, FilesystemBackendConfig
-from lang_agent.fs_bkends import BaseFilesystemBackend
 
 def read_as_utf8(file_path:str):
     with open(file_path, "r", encoding="utf-8") as f:
@@ -31,7 +29,7 @@ def build_skill_fs_dict(skill_dir:str, virt_path:str="/skills"):
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class StateBkConfig(InstantiateConfig):
+class StateBkConfig(FilesystemBackendConfig):
     _target:Type = field(default_factory=lambda:StateBk)
 
     skills_dir:str = "./assets/skills"
@@ -40,10 +38,6 @@ class StateBkConfig(InstantiateConfig):
     rt_skills_dir:str = "/skills"
     """path to directory with skills in runtime directory"""
 
-    def __post_init__(self):
-        err_msg = f"{self.skills_dir} does not exist"
-        assert osp.exists(self.skills_dir), err_msg
-
 
 class StateBk(BaseFilesystemBackend):
     def __init__(self, config:StateBkConfig):

lang_agent/pipeline.py

@@ -13,7 +13,7 @@ from langchain_core.messages import SystemMessage, HumanMessage, BaseMessage
 from langchain.agents import create_agent
 from langgraph.checkpoint.memory import MemorySaver
 
-from lang_agent.config import LLMNodeConfig, load_tyro_conf
+from lang_agent.config import LLMNodeConfig, load_tyro_conf, resolve_llm_api_key
 from lang_agent.graphs import AnnotatedGraph, ReactGraphConfig, RoutingConfig
 from lang_agent.base import GraphBase
 from lang_agent.components import conv_store
@@ -104,7 +104,13 @@ class Pipeline:
                 if self.config.base_url is not None
                 else self.config.graph_config.base_url
             )
-            self.config.graph_config.api_key = self.config.api_key
+            pipeline_api_key = resolve_llm_api_key(self.config.api_key)
+            graph_api_key = resolve_llm_api_key(
+                getattr(self.config.graph_config, "api_key", None)
+            )
+            resolved_api_key = pipeline_api_key or graph_api_key
+            self.config.api_key = resolved_api_key
+            self.config.graph_config.api_key = resolved_api_key
 
         self.graph: GraphBase = self.config.graph_config.setup()
 

nginx.conf

@@ -0,0 +1,85 @@
+events {
+    worker_connections 1024;
+}
+
+http {
+    include       /etc/nginx/mime.types;
+    default_type  application/octet-stream;
+
+    sendfile        on;
+    keepalive_timeout  65;
+
+    # Upstream backend
+    upstream backend {
+        server backend:8500;
+    }
+
+    server {
+        listen 80;
+        server_name localhost;
+
+        root /usr/share/nginx/html;
+        index index.html;
+
+        # Always revalidate the SPA entrypoint so clients pick up the latest
+        # hashed JS bundle after redeploys.
+        location = /index.html {
+            add_header Cache-Control "no-store, no-cache, must-revalidate, proxy-revalidate" always;
+            add_header Pragma "no-cache" always;
+            add_header Expires "0" always;
+            try_files $uri =404;
+        }
+
+        # Serve frontend static files
+        location / {
+            try_files $uri $uri/ /index.html;
+        }
+
+        # Proxy API requests to backend
+        location /v1/ {
+            proxy_pass http://backend;
+            proxy_http_version 1.1;
+            proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection 'upgrade';
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_cache_bypass $http_upgrade;
+        }
+
+        # Proxy DashScope API requests
+        location /apps/ {
+            proxy_pass http://backend;
+            proxy_http_version 1.1;
+            proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection 'upgrade';
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_cache_bypass $http_upgrade;
+        }
+
+        # Proxy v1/apps requests
+        location /v1/apps/ {
+            proxy_pass http://backend;
+            proxy_http_version 1.1;
+            proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection 'upgrade';
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_cache_bypass $http_upgrade;
+        }
+
+        # Health check endpoint
+        location /health {
+            proxy_pass http://backend/health;
+            access_log off;
+        }
+    }
+}
+
+

pyproject.toml

@@ -24,7 +24,10 @@ dependencies = [
     "commentjson",
     "pandas",
     "asgiref",
-    "psycopg[binary]"
+    "psycopg[binary]",
+    "deepagents",
+    "daytona",
+    "langchain_daytona"
 ]
 
 [tool.setuptools.packages.find]

scripts/init_database/00_init_user.sh

@@ -0,0 +1,40 @@
+#!/bin/bash
+# Initialize database user and database
+# This script runs before SQL files in docker-entrypoint-initdb.d
+# It must be named with 00_ prefix to run first
+
+set -e
+
+APP_DB_NAME="${APP_DB_NAME:-ai_conversations}"
+APP_DB_USER="${APP_DB_USER:-myapp_user}"
+APP_DB_PASSWORD="${APP_DB_PASSWORD:-secure_password_123}"
+
+echo "Creating database user: $APP_DB_USER"
+# Create user
+psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
+    DO \$\$
+    BEGIN
+        IF NOT EXISTS (SELECT FROM pg_catalog.pg_user WHERE usename = '$APP_DB_USER') THEN
+            CREATE USER $APP_DB_USER WITH PASSWORD '$APP_DB_PASSWORD';
+        END IF;
+    END
+    \$\$;
+    ALTER USER $APP_DB_USER CREATEDB;
+EOSQL
+
+echo "Creating database: $APP_DB_NAME"
+# Create database
+psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
+    SELECT 'CREATE DATABASE $APP_DB_NAME'
+    WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = '$APP_DB_NAME')\gexec
+    GRANT ALL PRIVILEGES ON DATABASE $APP_DB_NAME TO $APP_DB_USER;
+EOSQL
+
+echo "Granting schema privileges"
+# Grant schema privileges
+psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$APP_DB_NAME" <<-EOSQL
+    GRANT ALL ON SCHEMA public TO $APP_DB_USER;
+EOSQL
+
+echo "Database initialization complete!"
+

scripts/init_database/01_run_sql_files.sh

@@ -0,0 +1,25 @@
+#!/bin/bash
+# Run SQL initialization files in the correct database context
+# This script runs after 00_init_user.sh creates the database
+
+set -e
+
+APP_DB_NAME="${APP_DB_NAME:-ai_conversations}"
+
+echo "Running SQL initialization files in database: $APP_DB_NAME"
+
+# Run create_conv_store.sql
+if [ -f /docker-entrypoint-initdb.d/create_conv_store.sql ]; then
+    echo "Executing create_conv_store.sql..."
+    psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$APP_DB_NAME" -f /docker-entrypoint-initdb.d/create_conv_store.sql
+fi
+
+# Run create_prompt_config.sql
+if [ -f /docker-entrypoint-initdb.d/create_prompt_config.sql ]; then
+    echo "Executing create_prompt_config.sql..."
+    psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$APP_DB_NAME" -f /docker-entrypoint-initdb.d/create_prompt_config.sql
+fi
+
+echo "SQL initialization files completed!"
+
+

scripts/init_database/create_conv_store.sql

@@ -1,4 +1,5 @@
 -- Create the messages table
+-- This script runs in the ai_conversations database context
 CREATE TABLE IF NOT EXISTS messages (
     id BIGSERIAL PRIMARY KEY,
     conversation_id TEXT NOT NULL,
@@ -13,4 +14,8 @@ CREATE TABLE IF NOT EXISTS messages (
 CREATE INDEX IF NOT EXISTS idx_messages_conversation ON messages (conversation_id, sequence_number);
 
 -- Index for fast lookup by pipeline_id
-CREATE INDEX IF NOT EXISTS idx_messages_pipeline ON messages (pipeline_id);
+CREATE INDEX IF NOT EXISTS idx_messages_pipeline ON messages (pipeline_id);
+
+-- Grant permissions to app user
+GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA public TO myapp_user;
+GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public TO myapp_user;

scripts/init_database/create_prompt_config.sql

@@ -1,4 +1,5 @@
 -- A prompt_set groups a full collection of prompts together.
+-- This script runs in the ai_conversations database context
 -- Each pipeline can have many sets (versions, A/B variants, etc.);
 -- exactly one should be marked is_active per pipeline.
 CREATE TABLE IF NOT EXISTS prompt_sets (
@@ -41,6 +42,10 @@ CREATE TABLE IF NOT EXISTS prompt_templates (
 CREATE INDEX IF NOT EXISTS idx_prompt_templates_set_id
     ON prompt_templates(prompt_set_id);
 
+-- Grant permissions to app user
+GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA public TO myapp_user;
+GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public TO myapp_user;
+
 -- Seed: initial prompt set for lang_agent/graphs/routing.py
 -- The pipeline_id can be used by RoutingConfig.pipeline_id to load these prompts.
 INSERT INTO prompt_sets (pipeline_id, graph_id, name, description, is_active, list)

scripts/init_database/init_all.sh

@@ -0,0 +1,49 @@
+#!/bin/bash
+# Database initialization script
+# This script runs all SQL initialization files in the correct order
+
+set -e
+
+DB_NAME="${POSTGRES_DB:-ai_conversations}"
+DB_USER="${POSTGRES_USER:-myapp_user}"
+DB_PASSWORD="${POSTGRES_PASSWORD:-secure_password_123}"
+DB_HOST="${POSTGRES_HOST:-localhost}"
+DB_PORT="${POSTGRES_PORT:-5432}"
+
+export PGPASSWORD="$DB_PASSWORD"
+
+echo "Initializing database: $DB_NAME on $DB_HOST:$DB_PORT"
+
+# Wait for PostgreSQL to be ready
+until psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d postgres -c '\q' 2>/dev/null; do
+  echo "Waiting for PostgreSQL to be ready..."
+  sleep 2
+done
+
+echo "PostgreSQL is ready!"
+
+# Create database if it doesn't exist
+psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d postgres <<EOF
+SELECT 'CREATE DATABASE $DB_NAME'
+WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = '$DB_NAME')\gexec
+EOF
+
+# Grant privileges
+psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d postgres <<EOF
+GRANT ALL PRIVILEGES ON DATABASE $DB_NAME TO $DB_USER;
+EOF
+
+# Run initialization scripts in order
+echo "Running database initialization scripts..."
+
+# 1. Create conversation store tables
+echo "Creating conversation store tables..."
+psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" -f /docker-entrypoint-initdb.d/create_conv_store.sql
+
+# 2. Create prompt configuration tables
+echo "Creating prompt configuration tables..."
+psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" -f /docker-entrypoint-initdb.d/create_prompt_config.sql
+
+echo "Database initialization complete!"
+
+

scripts/shell_scripts/create_config.sh

@@ -1,3 +1,8 @@
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+PROJECT_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
+
+cd "$PROJECT_ROOT"
+
 source ~/.bashrc
 conda init
 conda activate lang

scripts/shell_scripts/download_images.sh

@@ -0,0 +1,37 @@
+#!/bin/bash
+# Script to download and package Docker images for offline use
+# Run this on a machine with good Docker Hub access, then transfer images.tar to China
+
+set -e
+
+echo "=== Docker Image Downloader for Offline Use ==="
+echo ""
+
+# Images needed
+IMAGES=(
+    "node:20-alpine"
+    "python:3.12-slim"
+    "postgres:16-alpine"
+    "nginx:alpine"
+)
+
+OUTPUT_FILE="images.tar"
+
+echo "Pulling Docker images..."
+for img in "${IMAGES[@]}"; do
+    echo "  Pulling $img..."
+    docker pull "$img"
+done
+
+echo ""
+echo "Saving to $OUTPUT_FILE..."
+docker save "${IMAGES[@]}" -o "$OUTPUT_FILE"
+
+echo ""
+echo "Done! File size:"
+ls -lh "$OUTPUT_FILE"
+
+echo ""
+echo "To transfer to China machine and load:"
+echo "  scp images.tar user@china-machine:/path/"
+echo "  docker load < images.tar"

scripts/shell_scripts/install.sh

@@ -0,0 +1,167 @@
+#!/bin/bash
+# Installation script for LangChain Agent
+# This script sets up and runs the entire application stack
+
+set -e
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+# Configuration
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+PROJECT_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
+ENV_FILE="$PROJECT_ROOT/.env"
+
+echo -e "${GREEN}=== LangChain Agent Installation Script ===${NC}\n"
+
+# Check for required tools
+check_requirements() {
+    echo -e "${YELLOW}Checking requirements...${NC}"
+    
+    if ! command -v docker &> /dev/null; then
+        echo -e "${RED}Error: Docker is not installed. Please install Docker first.${NC}"
+        exit 1
+    fi
+    
+    if ! command -v docker-compose &> /dev/null && ! docker compose version &> /dev/null; then
+        echo -e "${RED}Error: docker-compose is not installed. Please install docker-compose first.${NC}"
+        exit 1
+    fi
+    
+    echo -e "${GREEN}✓ All requirements met${NC}\n"
+}
+
+# Create .env file if it doesn't exist
+create_env_file() {
+    if [ ! -f "$ENV_FILE" ]; then
+        echo -e "${YELLOW}Creating .env file...${NC}"
+        cat > "$ENV_FILE" <<EOF
+# Database Configuration
+POSTGRES_DB=ai_conversations
+POSTGRES_USER=myapp_user
+POSTGRES_PASSWORD=secure_password_123
+POSTGRES_PORT=5432
+
+# Backend Configuration
+BACKEND_PORT=8500
+
+# Frontend Configuration
+FRONTEND_PORT=8080
+
+# Database Connection String (used by backend)
+CONN_STR=postgresql://myapp_user:secure_password_123@postgres:5432/ai_conversations
+EOF
+        echo -e "${GREEN}✓ Created .env file at $ENV_FILE${NC}"
+        echo -e "${YELLOW}  Please review and update the .env file with your preferred settings.${NC}\n"
+    else
+        echo -e "${GREEN}✓ .env file already exists${NC}\n"
+    fi
+}
+
+# Build Docker images
+build_images() {
+    echo -e "${YELLOW}Building Docker images (including frontend)...${NC}"
+    cd "$PROJECT_ROOT"
+    
+    # Check if docker-compose or docker compose
+    if docker compose version &> /dev/null; then
+        COMPOSE_CMD="docker compose"
+    else
+        COMPOSE_CMD="docker-compose"
+    fi
+    
+    $COMPOSE_CMD -f docker/docker-compose.prod.yml build
+    
+    echo -e "${GREEN}✓ Docker images built successfully${NC}\n"
+}
+
+# Initialize database
+init_database() {
+    echo -e "${YELLOW}Initializing database...${NC}"
+    
+    # Wait for PostgreSQL to be ready
+    echo "Waiting for PostgreSQL to start..."
+    sleep 5
+    
+    # The SQL files in scripts/init_database/ will be automatically executed
+    # by PostgreSQL's docker-entrypoint-initdb.d mechanism
+    # We just need to wait a bit for it to complete
+    
+    echo -e "${GREEN}✓ Database initialization will be handled automatically by PostgreSQL container${NC}\n"
+}
+
+# Start services
+start_services() {
+    echo -e "${YELLOW}Starting services...${NC}"
+    cd "$PROJECT_ROOT"
+    
+    # Check if docker-compose or docker compose
+    if docker compose version &> /dev/null; then
+        COMPOSE_CMD="docker compose"
+    else
+        COMPOSE_CMD="docker-compose"
+    fi
+    
+    $COMPOSE_CMD -f docker/docker-compose.prod.yml up -d
+    
+    echo -e "${GREEN}✓ Services started${NC}\n"
+}
+
+# Show status
+show_status() {
+    # Load environment variables from .env if it exists
+    if [ -f "$ENV_FILE" ]; then
+        set -a
+        source "$ENV_FILE"
+        set +a
+    fi
+    
+    echo -e "${GREEN}=== Installation Complete ===${NC}\n"
+    echo -e "Services are starting up. Please wait a moment for them to be ready.\n"
+    echo -e "Access points:"
+    echo -e "  - Frontend:     http://localhost:${FRONTEND_PORT:-80}"
+    echo -e "  - Backend API:  http://localhost:${BACKEND_PORT:-8500}"
+    echo -e "  - Database:     localhost:${POSTGRES_PORT:-5432}\n"
+    echo -e "To view logs:"
+    echo -e "  docker-compose -f docker/docker-compose.prod.yml logs -f\n"
+    echo -e "To stop services:"
+    echo -e "  docker-compose -f docker/docker-compose.prod.yml down\n"
+    echo -e "To restart services:"
+    echo -e "  docker-compose -f docker/docker-compose.prod.yml restart\n"
+}
+
+# Main execution
+main() {
+    check_requirements
+    create_env_file
+    build_images
+    start_services
+    init_database
+    show_status
+    
+    echo -e "${YELLOW}Waiting for services to be healthy...${NC}"
+    sleep 10
+    
+    # Load environment variables for health check
+    if [ -f "$ENV_FILE" ]; then
+        set -a
+        source "$ENV_FILE"
+        set +a
+    fi
+    
+    # Check service health
+    echo -e "\n${YELLOW}Checking service health...${NC}"
+    sleep 5  # Give services a bit more time
+    if curl -f http://localhost:${BACKEND_PORT:-8500}/health &> /dev/null; then
+        echo -e "${GREEN}✓ Backend is healthy${NC}"
+    else
+        echo -e "${YELLOW}⚠ Backend is still starting up. Check logs with: docker-compose -f docker/docker-compose.prod.yml logs backend${NC}"
+    fi
+}
+
+# Run main function
+main
+