bump server packages

Enable dev mode that allows updating code directly in the UI
2026-07-02 19:14:28 -04:00 · 2025-05-16 14:53:20 +07:00 · 2025-05-15 16:58:16 +07:00
134 changed files with 3788 additions and 6617 deletions
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+Split artifacts use case to document generator and code generator
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+chore: improve dev experience with nodemon
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+Fix typing check issue
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+fix chromadb dependency issue
@@ -0,0 +1,5 @@
+---
+"@llamaindex/server": patch
+---
+
+feat: add dev mode UI
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+Enable dev mode that allows updating code directly in the UI
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+fix: remove dead generated ai code
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+Deprecate pro mode
@@ -64,15 +64,6 @@ jobs:
        run: pnpm run pack-install
        working-directory: packages/create-llama

-      - name: Build and store server package
-        run: |
-          pnpm run build
-          wheel_file=$(ls dist/*.whl | head -n 1)
-          mkdir -p "${{ runner.temp }}"
-          cp "$wheel_file" "${{ runner.temp }}/"
-          echo "SERVER_PACKAGE_PATH=${{ runner.temp }}/$(basename "$wheel_file")" >> $GITHUB_ENV
-        working-directory: python/llama-index-server
-
      - name: Run Playwright tests for Python
        run: pnpm run e2e:python
        env:
@@ -83,13 +74,12 @@ jobs:
          TEMPLATE_TYPE: ${{ matrix.template-types }}
          PYTHONIOENCODING: utf-8
          PYTHONLEGACYWINDOWSSTDIO: utf-8
-          SERVER_PACKAGE_PATH: ${{ env.SERVER_PACKAGE_PATH }}
        working-directory: packages/create-llama

      - uses: actions/upload-artifact@v4
        if: always()
        with:
-          name: playwright-report-python-${{ matrix.os }}-${{ matrix.frameworks }}-${{ matrix.datasources }}-${{ matrix.template-types }}
+          name: playwright-report-python-${{ matrix.os }}-${{ matrix.frameworks }}-${{ matrix.datasources }}
          path: packages/create-llama/playwright-report/
          overwrite: true
          retention-days: 30
@@ -146,21 +136,6 @@ jobs:
        run: pnpm run pack-install
        working-directory: packages/create-llama

-      - name: Build server
-        run: pnpm run build
-        working-directory: packages/server
-
-      - name: Pack @llamaindex/server package
-        run: |
-          pnpm pack --pack-destination "${{ runner.temp }}"
-          if [ "${{ runner.os }}" == "Windows" ]; then
-            file=$(find "${{ runner.temp }}" -name "llamaindex-server-*.tgz" | head -n 1)
-            mv "$file" "${{ runner.temp }}/llamaindex-server.tgz"
-          else
-            mv ${{ runner.temp }}/llamaindex-server-*.tgz ${{ runner.temp }}/llamaindex-server.tgz
-          fi
-        working-directory: packages/server
-
      - name: Run Playwright tests for TypeScript
        run: pnpm run e2e:typescript
        env:
@@ -169,13 +144,12 @@ jobs:
          FRAMEWORK: ${{ matrix.frameworks }}
          DATASOURCE: ${{ matrix.datasources }}
          TEMPLATE_TYPE: ${{ matrix.template-types }}
-          SERVER_PACKAGE_PATH: ${{ runner.temp }}/llamaindex-server.tgz
        working-directory: packages/create-llama

      - uses: actions/upload-artifact@v4
        if: always()
        with:
-          name: playwright-report-typescript-${{ matrix.os }}-${{ matrix.frameworks }}-${{ matrix.datasources }}-node${{ matrix.node-version }}-${{ matrix.template-types }}
+          name: playwright-report-typescript-${{ matrix.os }}-${{ matrix.frameworks }}-${{ matrix.datasources }}-node${{ matrix.node-version }}
          path: packages/create-llama/playwright-report/
          overwrite: true
          retention-days: 30
@@ -16,16 +16,6 @@ jobs:

      - uses: pnpm/action-setup@v3

-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v5
-        with:
-          enable-cache: true
-
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
@@ -17,11 +17,6 @@ jobs:

      - uses: pnpm/action-setup@v3

-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
-
      - name: Install uv
        uses: astral-sh/setup-uv@v3

@@ -56,12 +51,8 @@ jobs:
        with:
          commit: Release ${{ steps.get-changeset-status.outputs.new-version }}
          title: Release ${{ steps.get-changeset-status.outputs.new-version }}
-          # bump versions
-          version: pnpm new-version
          # build package and call changeset publish
          publish: pnpm release
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
-          PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
-          UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
@@ -0,0 +1,138 @@
+name: Release llama-index-server
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "python/llama-index-server/**"
+      - ".github/workflows/release_llama_index_server.yml"
+  pull_request:
+    types:
+      - closed
+
+concurrency: ${{ github.workflow }}-${{ github.ref }}
+
+jobs:
+  release:
+    name: Create Release PR
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ./python/llama-index-server
+    if: |
+      github.event_name == 'push' && 
+      !startsWith(github.ref, 'refs/heads/release/llama-index-server-v') &&
+      !contains(github.event.head_commit.message, 'Release: llama-index-server v')
+
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+        with:
+          enable-cache: true
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Install dependencies
+        shell: bash
+        run: uv sync --all-extras --dev
+
+      - name: Setup Git
+        run: |
+          git config --global user.email "github-actions[bot]@users.noreply.github.com"
+          git config --global user.name "github-actions[bot]"
+
+      - name: Bump patch version
+        shell: bash
+        run: |
+          uvx --from=toml-cli toml set --toml-path=pyproject.toml project.version $(uvx --from=toml-cli toml get --toml-path=pyproject.toml project.version | awk -F. '{$NF = $NF + 1;}1' OFS=.)
+          git add pyproject.toml
+          git commit -m "chore(release): bump llama-index-server version to $(uvx --from=toml-cli toml get --toml-path=pyproject.toml project.version)"
+
+      - name: Get current version
+        id: get_version
+        shell: bash
+        run: |
+          version=$(uvx --from=toml-cli toml get --toml-path=pyproject.toml project.version)
+          echo "current_version=${version}" >> "$GITHUB_OUTPUT"
+
+      - name: Create Release PR
+        uses: peter-evans/create-pull-request@v6
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          commit-message: "Release: llama-index-server v${{ steps.get_version.outputs.current_version }}"
+          title: "Release: llama-index-server v${{ steps.get_version.outputs.current_version }}"
+          body: |
+            This PR was automatically created to release a new version of the llama-index-server package.
+
+            Version: ${{ steps.get_version.outputs.current_version }}
+
+            Please review the changes and merge to trigger the release.
+          branch: release/llama-index-server-v${{ steps.get_version.outputs.current_version }}
+          base: main
+          labels: release, llama-index-server
+
+  publish:
+    name: Publish to PyPI
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ./python/llama-index-server
+    if: |
+      github.event_name == 'pull_request' && 
+      github.event.pull_request.merged == true && 
+      startsWith(github.event.pull_request.title, 'Release: llama-index-server') &&
+      startsWith(github.event.pull_request.head.ref, 'release/llama-index-server-v')
+
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+        with:
+          enable-cache: true
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Install dependencies
+        shell: bash
+        run: uv sync --all-extras
+
+      - name: Get current version
+        id: get_version
+        shell: bash
+        run: |
+          version=$(uvx --from=toml-cli toml get --toml-path=pyproject.toml project.version)
+          echo "current_version=${version}" >> "$GITHUB_OUTPUT"
+
+      - name: Build package
+        shell: bash
+        run: uv build --no-sources
+
+      - name: Publish to PyPI
+        shell: bash
+        run: uv publish --token ${{ secrets.PYPI_TOKEN }}
+
+      - name: Create GitHub Release
+        uses: softprops/action-gh-release@v2
+        with:
+          tag_name: llama-index-server-v${{ steps.get_version.outputs.current_version }}
+          name: "llama-index-server v${{ steps.get_version.outputs.current_version }}"
+          body: |
+            Release of llama-index-server v${{ steps.get_version.outputs.current_version }}
+          draft: false
+          prerelease: false
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -5,7 +5,6 @@ on:

 env:
  PYTHON_VERSION: "3.9"
-  UI_TEST: "true"

 jobs:
  unit-test:
@@ -20,27 +19,20 @@ jobs:
        python-version: ["3.9"]
    steps:
      - uses: actions/checkout@v4
-      - uses: pnpm/action-setup@v3
-
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}

      - name: Install uv
        uses: astral-sh/setup-uv@v5
        with:
          enable-cache: true

-      - name: Setup Node.js
-        uses: actions/setup-node@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
        with:
-          node-version-file: ".nvmrc"
-          cache: "pnpm"
+          python-version: ${{ matrix.python-version }}

      - name: Install dependencies
        shell: bash
-        run: pnpm install && pnpm build
+        run: uv sync --all-extras --dev

      - name: Run unit tests
        shell: bash
@@ -54,20 +46,20 @@ jobs:
        working-directory: python/llama-index-server
    steps:
      - uses: actions/checkout@v4
-      - uses: pnpm/action-setup@v3
-
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.PYTHON_VERSION }}

      - name: Install uv
        uses: astral-sh/setup-uv@v5
        with:
          enable-cache: true

+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+
      - name: Install dependencies
-        run: pnpm install
+        shell: bash
+        run: uv sync --all-extras --dev

      - name: Run mypy
        shell: bash
@@ -81,56 +73,27 @@ jobs:
        working-directory: python/llama-index-server
    steps:
      - uses: actions/checkout@v4
-      - uses: pnpm/action-setup@v3
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.PYTHON_VERSION }}

      - name: Install uv
        uses: astral-sh/setup-uv@v5
        with:
          enable-cache: true

-      - name: Setup Node.js
-        uses: actions/setup-node@v4
+      - name: Set up Python
+        uses: actions/setup-python@v5
        with:
-          node-version-file: ".nvmrc"
-          cache: "pnpm"
+          python-version: ${{ env.PYTHON_VERSION }}

-      - name: Install dependencies
-        run: pnpm install && pnpm build
-
-      - name: Build package
+      - name: Install build package
        shell: bash
-        run: uv build
-
-      - name: Get the absolute wheel file path and save it to the output
-        shell: bash
-        id: get_whl_path
-        run: |
-          WHL_FILE=$(readlink -f dist/*.whl)
-          echo "whl_file=$WHL_FILE" >> $GITHUB_OUTPUT
+        run: uv sync --all-extras

      - name: Test import
        shell: bash
-        working-directory: ${{ github.workspace }}
-        env:
-          WHL_FILE: ${{ steps.get_whl_path.outputs.whl_file }}
-        run: |
-          uv run --with $WHL_FILE python -c "from llama_index.server import LlamaIndexServer"
-
-      - name: Check frontend resources is present
-        shell: bash
-        working-directory: ${{ github.workspace }}
-        env:
-          WHL_FILE: ${{ steps.get_whl_path.outputs.whl_file }}
-        run: |
-          uv run --with $WHL_FILE python -c "from llama_index.server.chat_ui import check_ui_resources; check_ui_resources()"
+        run: uv run python -c "from llama_index.server import LlamaIndexServer"

      - name: Upload artifact
        uses: actions/upload-artifact@v4
        with:
          name: llama-index-server
-          path: dist/
+          path: python/llama-index-server/dist/
@@ -7,7 +7,6 @@ build/
 .next/
 out/
 packages/server/server/
-packages/server/project/
 **/playwright-report/
 **/test-results/

@@ -1,201 +0,0 @@
-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Repository Overview
-
-Create-llama is a monorepo containing CLI tools and server frameworks for building LlamaIndex-powered applications. The repository combines TypeScript/Node.js and Python components in a unified development environment.
-
-## Architecture
-
-### Monorepo Structure
-
- **`packages/create-llama/`**: Main CLI tool for scaffolding LlamaIndex applications
- **`packages/server/`**: TypeScript/Next.js server framework (`@llamaindex/server`)
- **`python/llama-index-server/`**: Python/FastAPI server framework
- **Root**: Workspace configuration and shared development tools
-
-### Key Technologies
-
- **Package Manager**: pnpm with workspace configuration
- **Build Tools**: bunchee (TypeScript), Next.js, hatchling (Python)
- **Testing**: Playwright for e2e, pytest for Python
- **Version Management**: changesets for TypeScript packages, manual for Python
-
-## Development Commands
-
-### Root Level (Monorepo)
-
-```bash
-pnpm dev          # Start all packages in development mode
-pnpm build        # Build all packages
-pnpm lint         # ESLint across TypeScript packages
-pnpm format       # Prettier formatting
-pnpm e2e          # Run end-to-end tests
-```
-
-### Create-llama Package
-
-```bash
-cd packages/create-llama
-npm run build     # Build CLI using bash script and ncc
-npm run dev       # Watch mode development
-npm run e2e       # Playwright tests for generated projects
-npm run clean     # Clean build artifacts and template caches
-```
-
-### TypeScript Server Package
-
-```bash
-cd packages/server
-pnpm dev          # Watch mode with bunchee
-pnpm build        # Multi-step build: ESM/CJS + Next.js + static assets
-pnpm clean        # Clean all build outputs
-```
-
-### Python Server Package
-
-```bash
-cd python/llama-index-server
-uv run generate   # Index data files
-fastapi dev       # Start development server with hot reload
-pytest            # Run test suite
-```
-
-## Template System
-
-The CLI uses a sophisticated template system in `packages/create-llama/templates/`:
-
-### Organization
-
- **`types/`**: Base project structures (streaming, reflex, llamaindexserver)
- **`components/`**: Reusable components across frameworks
-  - `engines/` - Chat and agent engines
-  - `loaders/` - File, web, database loaders
-  - `providers/` - AI model configurations
-  - `vectordbs/` - Vector database integrations
-  - `use-cases/` - Workflow implementations
-
-### Development Workflow
-
- Templates support multiple frameworks (Next.js, Express, FastAPI)
- Component system allows mix-and-match functionality
- E2E tests validate generated projects work correctly
-
-## Server Framework Architecture
-
-### TypeScript Server (`@llamaindex/server`)
-
- **Core**: `LlamaIndexServer` class wrapping Next.js with workflow support
- **Frontend**: React-based chat UI with shadcn/ui components
- **API**: `/api/chat` endpoint with streaming responses
- **Build Process**: Complex multi-step build including static assets for Python integration
-
-### Python Server (`llama-index-server`)
-
- **Core**: `LlamaIndexServer` class extending FastAPI
- **Architecture**: Workflow factory pattern for stateless request handling
- **UI Generation**: AI-powered React component generation from Pydantic schemas
- **Development**: Hot reloading support with dev mode
-
-## Common Patterns
-
-### Workflow Integration
-
-Both server frameworks use factory patterns:
-
-```typescript
-// TypeScript
-const server = new LlamaIndexServer({
-  workflow: (context) => createWorkflow(context)
-});
-
-// Python
-def create_workflow(chat_request: ChatRequest) -> Workflow:
-    return MyWorkflow(chat_request.messages)
-```
-
-### Event System
-
-Structured events for UI communication:
-
- **UIEvent**: Custom components with Pydantic/Zod schemas
- **ArtifactEvent**: Code/documents for Canvas panel
- **SourceNodesEvent**: Document sources with metadata
- **AgentRunEvent**: Tool usage and progress tracking
-
-### File Handling
-
- Both servers auto-mount `data/` and `output/` directories
- LlamaCloud integration for remote file access
- Static file serving through framework-specific methods
-
-## Testing Strategy
-
-### E2E Testing
-
- Playwright tests in `packages/create-llama/e2e/`
- Tests both Python and TypeScript generated projects
- Validates CLI generation and application functionality
-
-### Unit Testing
-
- Python: pytest with comprehensive API and service tests
- TypeScript: Integrated testing through build process
-
-## Build Process
-
-### Create-llama CLI
-
-1. TypeScript compilation with bash script
-2. ncc bundling for standalone executable
-3. Template validation and caching
-
-### Server Package Build
-
-1. **prebuild**: Clean directories
-2. **build**: bunchee compilation to ESM/CJS
-3. **postbuild**: Next.js preparation and static asset generation
-4. **prepare:py-static**: Python integration assets
-
-### Release Process
-
-```bash
-pnpm release     # Build all + publish npm packages + Python release
-```
-
-## Development Environment Setup
-
-### Prerequisites
-
- Node.js >=16.14.0
- Python with uv package manager
- pnpm for package management
-
-### Common Workflow
-
-1. Clone repository and run `pnpm install`
-2. For CLI development: work in `packages/create-llama/`
-3. For server development: choose TypeScript or Python package
-4. Use `pnpm dev` for concurrent development across packages
-5. Run `pnpm e2e` to validate changes with generated projects
-
-## Special Considerations
-
-### Template Development
-
- Changes to templates require rebuilding CLI
- E2E tests validate template functionality across frameworks
- Template caching system speeds up repeated builds
-
-### Cross-package Dependencies
-
- Server package builds static assets for Python integration
- Version synchronization between TypeScript and Python packages
- Shared UI components and styling across implementations
-
-### Performance
-
- CLI uses caching for template operations
- Server frameworks support streaming responses
- Background processing for file operations and LlamaCloud integration
@@ -57,9 +57,6 @@ export default tseslint.config(
      "**/out/**",
      "**/node_modules/**",
      "**/build/**",
-      "packages/server/server/**",
-      "packages/server/project/**",
-      "packages/server/bin/**",
    ],
  },
 );
@@ -13,8 +13,7 @@
  },
  "license": "MIT",
  "workspaces": [
-    "packages/*",
-    "python/*"
+    "packages/*"
  ],
  "scripts": {
    "dev": "pnpm -r dev",
@@ -25,10 +24,8 @@
    "format:write": "prettier --ignore-unknown --write .",
    "prepare": "husky",
    "new-snapshot": "pnpm -r build && changeset version --snapshot",
-    "new-version-python": "pnpm --filter @create-llama/llama-index-server new-version",
-    "new-version": "pnpm -r build && changeset version && pnpm new-version-python",
-    "release-python": "pnpm --filter @create-llama/llama-index-server release",
-    "release": "pnpm -r build && changeset publish && pnpm release-python",
+    "new-version": "pnpm -r build && changeset version",
+    "release": "pnpm -r build && changeset publish",
    "release-snapshot": "pnpm -r build && changeset publish --tag snapshot"
  },
  "devDependencies": {
@@ -1,48 +1,5 @@
 # create-llama

-## 0.5.19
-
-### Patch Changes
-
- 5fe9e17: support eject to fully customize next folder
- b8a1ff6: Support citation for agentic template (Python)
-
-## 0.5.18
-
-### Patch Changes
-
- 8d59ef0: Add layout_dir config to the generated python code
-
-## 0.5.17
-
-### Patch Changes
-
- eee3230: feat: support custom layout
-
-## 0.5.16
-
-### Patch Changes
-
- 6f75d4a: fix: unsupported language in code gen workflow
- d0618fa: Fix LlamaCloud generate script issue
-
-## 0.5.15
-
-### Patch Changes
-
- 527075c: Enable dev mode that allows updating code directly in the UI
-
-## 0.5.14
-
-### Patch Changes
-
- 1df8cfb: Split artifacts use case to document generator and code generator
- 1b5a519: chore: improve dev experience with nodemon
- b3eb0ba: Fix typing check issue
- 556f33c: fix chromadb dependency issue
- 2451539: fix: remove dead generated ai code
- 7a70390: Deprecate pro mode
-
 ## 0.5.13

 ### Patch Changes
@@ -1,108 +0,0 @@
-# create-llama Package
-
-## Overview
-
-The `create-llama` package is a CLI tool for creating LlamaIndex-powered applications with one command. It's designed as a project generator that scaffolds various types of RAG (Retrieval-Augmented Generation) applications using different frameworks, databases, and AI model providers.
-
-## Package Structure
-
-### Core Files
-
- **`index.ts`**: Main CLI entry point using Commander.js for argument parsing
- **`create-app.ts`**: Core application creation logic and orchestration
- **`package.json`**: Package configuration with binary entry point at `./dist/index.js`
-
-### Key Directories
-
- **`helpers/`**: Utility functions for package management, file operations, and configuration
- **`questions/`**: Interactive prompts for user configuration
- **`templates/`**: Project templates for different frameworks and use cases
- **`e2e/`**: End-to-end tests using Playwright
-
-## Core Functionality
-
-### CLI Interface
-
-The tool accepts numerous command-line options including:
-
- Framework selection (`--framework`: nextjs, express, fastapi)
- Template type (`--template`: streaming, multiagent, reflex, llamaindexserver)
- Model providers (OpenAI, Anthropic, Groq, Ollama, etc.)
- Vector databases (none, mongo, pg, pinecone, milvus, etc.)
- Data sources (files, web URLs, databases)
- Tools and observability options
-
-### Application Generation Flow
-
-1. **Project validation**: Checks project name validity and directory permissions
-2. **Interactive questioning**: Prompts user for configuration if not provided via CLI
-3. **Template installation**: Copies and configures appropriate templates
-4. **Environment setup**: Creates `.env` files with API keys and configuration
-5. **Dependencies**: Installs packages using detected/specified package manager
-6. **Post-install actions**: Can run the app, open VSCode, or install dependencies
-
-### Template System
-
-Templates are organized by:
-
- **Framework**: NextJS (frontend), Express (Node backend), FastAPI (Python backend)
- **Type**: Streaming chat, multiagent workflows, Reflex UI, LlamaIndex server
- **Components**: Engines, loaders, providers, UI components, observability
-
-### Helper Functions
-
-Key helper modules include:
-
- **Installation**: Package manager detection and dependency installation
- **Data sources**: File copying, web scraping, database connection setup
- **Providers**: Model provider configuration (OpenAI, Anthropic, etc.)
- **Tools**: Integration with external tools (Wikipedia, weather, code generation)
- **Environment**: `.env` file generation with API keys and settings
-
-## Development Commands
-
-### Build & Development
-
- `npm run build`: Build the CLI using bash script
- `npm run dev`: Watch mode development build
- `npm run clean`: Clean build artifacts and temporary files
-
-### Testing
-
- `npm run e2e`: Run all end-to-end tests
- `npm run e2e:python`: Test Python-specific templates
- `npm run e2e:typescript`: Test TypeScript-specific templates
-
-### Package Management
-
- `npm run pack-install`: Create and install local package for testing
-
-## Architecture Notes
-
-### Model Configuration
-
-The tool supports multiple AI providers with a unified `ModelConfig` interface that includes:
-
- Provider selection and API key management
- Model and embedding model specification
- Dimension configuration for embeddings
-
-### Data Source Handling
-
-Flexible data source configuration supporting:
-
- Local files and directories
- Web URLs with configurable crawling depth
- Database connections with custom queries
- Automatic file downloading and copying
-
-### Template Flexibility
-
-Templates use a component-based system allowing mix-and-match of:
-
- Different frameworks (NextJS, Express, FastAPI)
- Various vector databases
- Multiple observability tools
- Configurable tools and integrations
-
-This package serves as the foundation for rapidly prototyping and deploying LlamaIndex applications across different technology stacks and use cases.
@@ -1,5 +1,5 @@
 import { expect, test } from "@playwright/test";
-import { ChildProcess, execSync } from "child_process";
+import { ChildProcess } from "child_process";
 import fs from "fs";
 import path from "path";
 import type {
@@ -12,31 +12,21 @@ import { createTestDir, runCreateLlama, type AppType } from "../utils";
 const templateFramework: TemplateFramework = process.env.FRAMEWORK
  ? (process.env.FRAMEWORK as TemplateFramework)
  : "fastapi";
-const dataSource: string = process.env.DATASOURCE
-  ? (process.env.DATASOURCE as string)
-  : "--example-file";
-const llamaCloudProjectName = "create-llama";
-const llamaCloudIndexName = "e2e-test";
-
+const dataSource: string = "--example-file";
 const templateUI: TemplateUI = "shadcn";
 const templatePostInstallAction: TemplatePostInstallAction = "runApp";
 const appType: AppType = "--frontend";
 const userMessage = "Write a blog post about physical standards for letters";
-const templateUseCases = [
-  "agentic_rag",
-  "financial_report",
-  "deep_research",
-  "code_generator",
-];
-const ejectDir = "next";
+const templateUseCases = ["financial_report", "agentic_rag", "deep_research"];

 for (const useCase of templateUseCases) {
  test.describe(`Test use case ${useCase} ${templateFramework} ${dataSource} ${templateUI} ${appType} ${templatePostInstallAction}`, async () => {
    test.skip(
-      dataSource === "--no-files" || templateFramework === "express",
+      process.platform !== "linux" ||
+        process.env.DATASOURCE === "--no-files" ||
+        templateFramework === "express",
      "The llamaindexserver template currently only works with nextjs, fastapi. We also only run on Linux to speed up tests.",
    );
-    const useLlamaParse = dataSource === "--llamacloud";
    let port: number;
    let cwd: string;
    let name: string;
@@ -58,9 +48,6 @@ for (const useCase of templateUseCases) {
        templateUI,
        appType,
        useCase,
-        llamaCloudProjectName,
-        llamaCloudIndexName,
-        useLlamaParse,
      });
      name = result.projectName;
      appProcess = result.appProcess;
@@ -111,28 +98,6 @@ for (const useCase of templateUseCases) {
      expect(response.ok()).toBeTruthy();
    });

-    test("Should successfully eject, install dependencies and build without errors", async () => {
-      test.skip(
-        templateFramework !== "nextjs" ||
-          useCase !== "code_generator" ||
-          dataSource === "--llamacloud",
-        "Eject test only applies to Next.js framework, code generator use case, and non-llamacloud",
-      );
-
-      // Run eject command
-      execSync("npm run eject", { cwd: path.join(cwd, name) });
-
-      // Verify next directory exists
-      const nextDirExists = fs.existsSync(path.join(cwd, name, ejectDir));
-      expect(nextDirExists).toBeTruthy();
-
-      // Install dependencies in next directory
-      execSync("npm install", { cwd: path.join(cwd, name, ejectDir) });
-
-      // Run build
-      execSync("npm run build", { cwd: path.join(cwd, name, ejectDir) });
-    });
-
    // clean processes
    test.afterAll(async () => {
      appProcess?.kill();
@@ -18,7 +18,6 @@ import {
  ModelConfig,
  TemplateDataSource,
  TemplateFramework,
-  TemplateUseCase,
  TemplateVectorDB,
 } from "./types";
 import { installTSTemplate } from "./typescript";
@@ -61,7 +60,6 @@ async function generateContextData(
  vectorDb?: TemplateVectorDB,
  llamaCloudKey?: string,
  useLlamaParse?: boolean,
-  useCase?: TemplateUseCase,
 ) {
  if (packageManager) {
    const runGenerate = `${cyan(
@@ -98,12 +96,7 @@ async function generateContextData(
        }
      } else {
        console.log(`Running ${runGenerate} to generate the context data.`);
-        const shouldRunGenerate =
-          useCase !== "code_generator" && useCase !== "document_generator"; // Artifact use case doesn't use index.
-
-        if (shouldRunGenerate) {
-          await callPackageManager(packageManager, true, ["run", "generate"]);
-        }
+        await callPackageManager(packageManager, true, ["run", "generate"]);
        return;
      }
    }
@@ -231,7 +224,6 @@ export const installTemplate = async (
        props.vectorDb,
        props.llamaCloudKey,
        props.useLlamaParse,
-        props.useCase,
      );
    }

@@ -5,7 +5,6 @@ import { parse, stringify } from "smol-toml";
 import terminalLink from "terminal-link";
 import { isUvAvailable, tryUvSync } from "./uv";

-import { isCI } from "ci-info";
 import { assetRelocator, copy } from "./copy";
 import { templatesDir } from "./dir";
 import { Tool } from "./tools";
@@ -268,7 +267,7 @@ const getAdditionalDependencies = (
    if (observability === "traceloop") {
      dependencies.push({
        name: "traceloop-sdk",
-        version: ">=0.15.11",
+        version: ">=0.15.11,<0.16.0",
      });
    }
    if (observability === "llamatrace") {
@@ -279,19 +278,6 @@ const getAdditionalDependencies = (
    }
  }

-  // If app template is llama-index-server and CI and SERVER_PACKAGE_PATH is set,
-  // add @llamaindex/server to dependencies
-  if (
-    templateType === "llamaindexserver" &&
-    isCI &&
-    process.env.SERVER_PACKAGE_PATH
-  ) {
-    dependencies.push({
-      name: "llama-index-server",
-      version: `@file://${process.env.SERVER_PACKAGE_PATH}`,
-    });
-  }
-
  return dependencies;
 };

@@ -592,12 +578,6 @@ const installLlamaIndexServerTemplate = async ({
    cwd: path.join(templatesDir, "components", "ui", "use-cases", useCase),
  });

-  // Copy layout components to layout folder in root
-  await copy("*", path.join(root, "layout"), {
-    parents: true,
-    cwd: path.join(templatesDir, "components", "ui", "layout"),
-  });
-
  if (useLlamaParse) {
    await copy("index.py", path.join(root, "app"), {
      parents: true,
@@ -697,7 +677,6 @@ export const installPythonTemplate = async ({
    dataSources,
    tools,
    template,
-    observability,
  );

  await addDependencies(root, addOnDependencies);
@@ -42,18 +42,12 @@ const installLlamaIndexServerTemplate = async ({
    rename: assetRelocator,
  });

-  // copy workflow UI components to components folder in root
+  // copy workflow UI components to output/components folder
  await copy("*", path.join(root, "components"), {
    parents: true,
    cwd: path.join(templatesDir, "components", "ui", "use-cases", useCase),
  });

-  // copy layout components to layout folder in root
-  await copy("*", path.join(root, "layout"), {
-    parents: true,
-    cwd: path.join(templatesDir, "components", "ui", "layout"),
-  });
-
  // Override generate.ts if workflow use case doesn't use custom UI
  if (vectorDb === "llamacloud") {
    await copy("generate.ts", path.join(root, "src"), {
@@ -393,7 +387,7 @@ const providerDependencies: {
  [key in ModelProvider]?: Record<string, string>;
 } = {
  openai: {
-    "@llamaindex/openai": "~0.4.0",
+    "@llamaindex/openai": "^0.3.7",
  },
  gemini: {
    "@llamaindex/google": "^0.2.0",
@@ -519,7 +513,7 @@ async function updatePackageJson({
  if (backend) {
    packageJson.dependencies = {
      ...packageJson.dependencies,
-      "@llamaindex/readers": "~3.1.4",
+      "@llamaindex/readers": "^3.1.3",
    };

    if (vectorDb && vectorDb in vectorDbDependencies) {
@@ -549,16 +543,6 @@ async function updatePackageJson({
    };
  }

-  // if having custom server package tgz file, use it for testing @llamaindex/server
-  const serverPackagePath = process.env.SERVER_PACKAGE_PATH;
-  if (serverPackagePath && template === "llamaindexserver") {
-    const relativePath = path.relative(process.cwd(), serverPackagePath);
-    packageJson.dependencies = {
-      ...packageJson.dependencies,
-      "@llamaindex/server": `file:${relativePath}`,
-    };
-  }
-
  await fs.writeFile(
    packageJsonFile,
    JSON.stringify(packageJson, null, 2) + os.EOL,
@@ -1,6 +1,6 @@
 {
  "name": "create-llama",
-  "version": "0.5.19",
+  "version": "0.5.13",
  "description": "Create LlamaIndex-powered apps with one command",
  "keywords": [
    "rag",
@@ -6,7 +6,7 @@ const defaults: Omit<QuestionArgs, "modelConfig"> = {
  framework: "nextjs",
  ui: "shadcn",
  frontend: false,
-  llamaCloudKey: undefined,
+  llamaCloudKey: "",
  useLlamaParse: false,
  communityProjectConfig: undefined,
  llamapack: "",
@@ -12,7 +12,7 @@ dependencies = [
    "llama-index>=0.12.1",
    "llama-parse>=0.6.21,<0.7.0",
    "cachetools>=5.3.3",
-    "reflex==0.7.10",
+    "reflex>=0.6.2.post1",
 ]

 [project.scripts]
@@ -13,7 +13,7 @@ dependencies = [
    "llama-index>=0.12.1",
    "llama-parse>=0.6.21,<0.7.0",
    "cachetools>=5.3.3",
-    "reflex==0.7.10",
+    "reflex>=0.6.2.post1",
 ]

 [project.scripts]
@@ -1,40 +0,0 @@
-"use client";
-
-import { Sparkles, Star } from "lucide-react";
-
-export default function Header() {
-  return (
-    <div className="flex items-center justify-between px-4 pt-2">
-      <div className="flex items-center gap-2">
-        <Sparkles className="size-4" />
-        <h1 className="font-semibold">LlamaIndex App</h1>
-      </div>
-      <div className="flex items-center justify-end gap-4">
-        <div className="flex items-center gap-2">
-          <a
-            href="https://www.llamaindex.ai/"
-            target="_blank"
-            rel="noopener noreferrer"
-            className="text-sm text-gray-600 hover:text-gray-800 dark:text-gray-400 dark:hover:text-gray-200"
-          >
-            Built by LlamaIndex
-          </a>
-          <img
-            className="h-[24px] w-[24px] rounded-sm"
-            src="/llama.png"
-            alt="Llama Logo"
-          />
-        </div>
-        <a
-          href="https://github.com/run-llama/LlamaIndexTS"
-          target="_blank"
-          rel="noopener noreferrer"
-          className="hover:bg-accent flex items-center gap-2 rounded-md border border-gray-300 px-2 py-1 text-sm"
-        >
-          <Star className="size-4" />
-          Star on GitHub
-        </a>
-      </div>
-    </div>
-  );
-}
@@ -3,12 +3,9 @@ from typing import Optional
 from app.index import get_index
 from llama_index.core.agent.workflow import AgentWorkflow
 from llama_index.core.settings import Settings
+from llama_index.llms.openai import OpenAI
 from llama_index.server.api.models import ChatRequest
 from llama_index.server.tools.index import get_query_engine_tool
-from llama_index.server.tools.index.citation import (
-    CITATION_SYSTEM_PROMPT,
-    enable_citation,
-)


 def create_workflow(chat_request: Optional[ChatRequest] = None) -> AgentWorkflow:
@@ -17,16 +14,9 @@ def create_workflow(chat_request: Optional[ChatRequest] = None) -> AgentWorkflow
        raise RuntimeError(
            "Index not found! Please run `uv run generate` to index the data first."
        )
-    # Create a query tool with citations enabled
-    query_tool = enable_citation(get_query_engine_tool(index=index))
-
-    # Define the system prompt for the agent
-    # Append the citation system prompt to the system prompt
-    system_prompt = """You are a helpful assistant"""
-    system_prompt += CITATION_SYSTEM_PROMPT
-
+    query_tool = get_query_engine_tool(index=index)
    return AgentWorkflow.from_tools_or_functions(
        tools_or_functions=[query_tool],
-        llm=Settings.llm,
-        system_prompt=system_prompt,
+        llm=Settings.llm or OpenAI(model="gpt-4o-mini"),
+        system_prompt="You are a helpful assistant.",
    )
@@ -41,14 +41,6 @@ curl --location 'localhost:3000/api/chat' \
 --data '{ "messages": [{ "role": "user", "content": "What standards for a letter exist?" }] }'
 ```

-## Eject Mode
-
-If you want to fully customize the server UI and routes, you can use `npm eject`. It will create a normal Next.js project with the same functionality as @llamaindex/server.
-
-```bash
-npm run eject
-```
-
 ## Learn More

 To learn more about LlamaIndex, take a look at the following resources:
@@ -8,7 +8,7 @@ First, install the dependencies:
 npm install
 ```

-Second, run the development server:
+Third, run the development server:

 ```
 npm run dev
@@ -34,7 +34,7 @@ AI-powered code generator that can help you generate app with a chat interface,

 To update the workflow, you can modify the code in [`workflow.ts`](app/workflow.ts).

-You can start by sending a request on the [chat UI](http://localhost:3000) or you can test the `/api/chat` endpoint with the following curl request:
+You can start by sending an request on the [chat UI](http://localhost:3000) or you can test the `/api/chat` endpoint with the following curl request:

 ```shell
 curl --location 'localhost:3000/api/chat' \
@@ -42,14 +42,6 @@ curl --location 'localhost:3000/api/chat' \
 --data '{ "messages": [{ "role": "user", "content": "Compare the financial performance of Apple and Tesla" }] }'
 ```

-## Eject Mode
-
-If you want to fully customize the server UI and routes, you can use `npm eject`. It will create a normal Next.js project with the same functionality as @llamaindex/server.
-
-```bash
-npm run eject
-```
-
 ## Learn More

 To learn more about LlamaIndex, take a look at the following resources:
@@ -1,5 +1,5 @@
 import { extractLastArtifact } from "@llamaindex/server";
-import { ChatMemoryBuffer, MessageContent, Settings } from "llamaindex";
+import { ChatMemoryBuffer, LLM, MessageContent, Settings } from "llamaindex";

 import {
  agentStreamEvent,
@@ -12,6 +12,12 @@ import {

 import { z } from "zod";

+export const workflowFactory = async (reqBody: any) => {
+  const workflow = createCodeArtifactWorkflow(reqBody);
+
+  return workflow;
+};
+
 export const RequirementSchema = z.object({
  next_step: z.enum(["answering", "coding"]),
  language: z.string().nullable().optional(),
@@ -65,33 +71,34 @@ const artifactEvent = workflowEvent<{
  };
 }>();

-export function workflowFactory(reqBody: any) {
-  const llm = Settings.llm;
-
+export function createCodeArtifactWorkflow(reqBody: any, llm?: LLM) {
+  if (!llm) {
+    llm = Settings.llm;
+  }
  const { withState, getContext } = createStatefulMiddleware(() => {
    return {
-      memory: new ChatMemoryBuffer({ llm }),
+      memory: new ChatMemoryBuffer({
+        llm,
+        chatHistory: reqBody.chatHistory,
+      }),
      lastArtifact: extractLastArtifact(reqBody),
    };
  });
  const workflow = withState(createWorkflow());

-  workflow.handle([startAgentEvent], async ({ data }) => {
-    const { userInput, chatHistory = [] } = data;
+  workflow.handle([startAgentEvent], async ({ data: { userInput } }) => {
    // Prepare chat history
    const { state } = getContext();
    // Put user input to the memory
    if (!userInput) {
      throw new Error("Missing user input to start the workflow");
    }
-    state.memory.set(chatHistory);
-    state.memory.put({ role: "user", content: userInput });
-
+    state.memory.put({
+      role: "user",
+      content: userInput,
+    });
    return planEvent.with({
      userInput: userInput,
-      context: state.lastArtifact
-        ? JSON.stringify(state.lastArtifact)
-        : undefined,
    });
  });

@@ -53,14 +53,6 @@ curl --location 'localhost:3000/api/chat' \
 --data '{ "messages": [{ "role": "user", "content": "Compare the financial performance of Apple and Tesla" }] }'
 ```

-## Eject Mode
-
-If you want to fully customize the server UI and routes, you can use `npm eject`. It will create a normal Next.js project with the same functionality as @llamaindex/server.
-
-```bash
-npm run eject
-```
-
 ## Learn More

 To learn more about LlamaIndex, take a look at the following resources:
@@ -8,7 +8,7 @@ First, install the dependencies:
 npm install
 ```

-Second, run the development server:
+Third, run the development server:

 ```
 npm run dev
@@ -34,7 +34,7 @@ AI-powered document generator that can help you generate documents with a chat i

 To update the workflow, you can modify the code in [`workflow.ts`](app/workflow.ts).

-You can start by sending a request on the [chat UI](http://localhost:3000) or you can test the `/api/chat` endpoint with the following curl request:
+You can start by sending an request on the [chat UI](http://localhost:3000) or you can test the `/api/chat` endpoint with the following curl request:

 ```shell
 curl --location 'localhost:3000/api/chat' \
@@ -42,14 +42,6 @@ curl --location 'localhost:3000/api/chat' \
 --data '{ "messages": [{ "role": "user", "content": "Compare the financial performance of Apple and Tesla" }] }'
 ```

-## Eject Mode
-
-If you want to fully customize the server UI and routes, you can use `npm eject`. It will create a normal Next.js project with the same functionality as @llamaindex/server.
-
-```bash
-npm run eject
-```
-
 ## Learn More

 To learn more about LlamaIndex, take a look at the following resources:
@@ -1,5 +1,5 @@
 import { extractLastArtifact } from "@llamaindex/server";
-import { ChatMemoryBuffer, MessageContent, Settings } from "llamaindex";
+import { ChatMemoryBuffer, LLM, MessageContent, Settings } from "llamaindex";

 import {
  agentStreamEvent,
@@ -12,6 +12,12 @@ import {

 import { z } from "zod";

+export const workflowFactory = async (reqBody: any) => {
+  const workflow = createDocumentArtifactWorkflow(reqBody);
+
+  return workflow;
+};
+
 export const DocumentRequirementSchema = z.object({
  type: z.enum(["markdown", "html"]),
  title: z.string(),
@@ -68,28 +74,32 @@ const artifactEvent = workflowEvent<{
  };
 }>();

-export function workflowFactory(reqBody: any) {
-  const llm = Settings.llm;
-
+export function createDocumentArtifactWorkflow(reqBody: any, llm?: LLM) {
+  if (!llm) {
+    llm = Settings.llm;
+  }
  const { withState, getContext } = createStatefulMiddleware(() => {
    return {
-      memory: new ChatMemoryBuffer({ llm }),
+      memory: new ChatMemoryBuffer({
+        llm,
+        chatHistory: reqBody.chatHistory,
+      }),
      lastArtifact: extractLastArtifact(reqBody),
    };
  });
  const workflow = withState(createWorkflow());

-  workflow.handle([startAgentEvent], async ({ data }) => {
-    const { userInput, chatHistory = [] } = data;
+  workflow.handle([startAgentEvent], async ({ data: { userInput } }) => {
    // Prepare chat history
    const { state } = getContext();
    // Put user input to the memory
    if (!userInput) {
      throw new Error("Missing user input to start the workflow");
    }
-    state.memory.set(chatHistory);
-    state.memory.put({ role: "user", content: userInput });
-
+    state.memory.put({
+      role: "user",
+      content: userInput,
+    });
    return planEvent.with({
      userInput,
      context: state.lastArtifact
@@ -41,14 +41,6 @@ curl --location 'localhost:3000/api/chat' \
 --data '{ "messages": [{ "role": "user", "content": "Generate a financial report that compares the financial performance of Apple and Tesla" }] }'
 ```

-## Eject Mode
-
-If you want to fully customize the server UI and routes, you can use `npm eject`. It will create a normal Next.js project with the same functionality as @llamaindex/server.
-
-```bash
-npm run eject
-```
-
 ## Learn More

 To learn more about LlamaIndex, take a look at the following resources:
@@ -12,12 +12,11 @@ from llama_index.server.services.llamacloud.generate import (
    load_to_llamacloud,
 )

-
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger()


-def generate_index():
+def generate_datasource():
    init_settings()
    logger.info("Generate index for the provided data")

@@ -28,26 +27,5 @@ def generate_index():
    load_to_llamacloud(index, logger=logger)


-def generate_ui_for_workflow():
-    """
-    Generate UI for UIEventData event in app/workflow.py
-    """
-    import asyncio
-    from llama_index.llms.openai import OpenAI
-    from main import COMPONENT_DIR
-
-    # To generate UI components for additional event types,
-    # import the corresponding data model (e.g., MyCustomEventData)
-    # and run the generate_ui_for_workflow function with the imported model.
-    # Make sure the output filename of the generated UI component matches the event type (here `ui_event`)
-    try:
-        from app.workflow import UIEventData  # type: ignore
-    except ImportError:
-        raise ImportError("Couldn't generate UI component for the current workflow.")
-    from llama_index.server.gen_ui import generate_event_component
-
-    # works also well with Claude 3.7 Sonnet or Gemini Pro 2.5
-    llm = OpenAI(model="gpt-4.1")
-    code = asyncio.run(generate_event_component(event_cls=UIEventData, llm=llm))
-    with open(f"{COMPONENT_DIR}/ui_event.jsx", "w") as f:
-        f.write(code)
+if __name__ == "__main__":
+    generate_datasource()
@@ -1,5 +1,3 @@
-import { OpenAI } from "@llamaindex/openai";
-import { generateEventComponent } from "@llamaindex/server";
 import * as dotenv from "dotenv";
 import "dotenv/config";
 import * as fs from "fs/promises";
@@ -90,7 +88,7 @@ async function loadAndIndex() {
  console.log(`Successfully uploaded documents to LlamaCloud!`);
 }

-async function generateDatasource() {
+(async () => {
  try {
    checkRequiredEnvVars();
    initSettings();
@@ -99,39 +97,4 @@ async function generateDatasource() {
  } catch (error) {
    console.error("Error generating storage.", error);
  }
-}
-
-async function generateUi() {
-  // Also works well with Claude 3.5 Sonnet and Google Gemini 2.5 Pro
-  const llm = new OpenAI({ model: "gpt-4.1" });
-
-  const workflowModule = await import("./app/workflow");
-  const UIEventSchema = (workflowModule as any).UIEventSchema;
-  if (!UIEventSchema) {
-    throw new Error(
-      "To generate the UI, you must define a UIEventSchema in your workflow.",
-    );
-  }
-
-  const generatedCode = await generateEventComponent(UIEventSchema, llm);
-  // Write the generated code to components/ui_event.ts
-  await fs.writeFile("components/ui_event.jsx", generatedCode);
-}
-
-(async () => {
-  const args = process.argv.slice(2);
-  const command = args[0];
-
-  initSettings();
-
-  if (command === "datasource") {
-    await generateDatasource();
-  } else if (command === "ui") {
-    await generateUi();
-  } else {
-    console.error(
-      'Invalid command. Please use "datasource" or "ui". Running "datasource" by default.',
-    );
-    await generateDatasource(); // Default behavior or could throw an error
-  }
 })();
@@ -8,5 +8,5 @@ from llama_index.llms.openai import OpenAI
 def init_settings():
    if os.getenv("OPENAI_API_KEY") is None:
        raise RuntimeError("OPENAI_API_KEY is missing in environment variables")
-    Settings.llm = OpenAI(model="gpt-4.1")
-    Settings.embed_model = OpenAIEmbedding(model="text-embedding-3-large")
+    Settings.llm = OpenAI(model="gpt-4o-mini")
+    Settings.embed_model = OpenAIEmbedding(model="text-embedding-3-small")
@@ -16,8 +16,8 @@ def create_app():
        workflow_factory=create_workflow,  # A factory function that creates a new workflow for each request
        ui_config=UIConfig(
            component_dir=COMPONENT_DIR,
+            app_title="Chat App",
            dev_mode=True,  # Please disable this in production
-            layout_dir="layout",
        ),
        logger=logger,
        env="dev",
@@ -12,7 +12,7 @@ dependencies = [
    "pydantic<2.10",
    "aiostream>=0.5.2,<0.6.0",
    "llama-index-core>=0.12.28,<0.13.0",
-    "llama-index-server>=0.1.17,<0.2.0",
+    "llama-index-server>=0.1.16,<0.2.0",
 ]

 [project.optional-dependencies]
@@ -46,9 +46,6 @@ disable_error_code = [ "return-value", "assignment" ]
 module = "app.*"
 ignore_missing_imports = false

-[tool.hatch.metadata]
-allow-direct-references = true
-
 [build-system]
 requires = [ "hatchling>=1.24" ]
-build-backend = "hatchling.build"
+build-backend = "hatchling.build"
@@ -6,15 +6,14 @@
    "generate:datasource": "tsx src/generate.ts datasource",
    "generate:ui": "tsx src/generate.ts ui",
    "dev": "nodemon",
-    "start": "tsx src/index.ts",
-    "eject": "llamaindex-server eject"
+    "start": "tsx src/index.ts"
  },
  "dependencies": {
-    "@llamaindex/openai": "~0.4.0",
-    "@llamaindex/server": "~0.2.1",
-    "@llamaindex/workflow": "~1.1.3",
-    "@llamaindex/tools": "~0.0.11",
-    "llamaindex": "~0.11.0",
+    "@llamaindex/openai": "^0.3.7",
+    "@llamaindex/server": "^0.2.1",
+    "@llamaindex/workflow": "^1.1.2",
+    "@llamaindex/tools": "^0.0.10",
+    "llamaindex": "^0.10.6",
    "dotenv": "^16.4.7",
    "zod": "^3.23.8"
  },
@@ -1,10 +1,14 @@
 import "dotenv/config";
 import { SimpleDirectoryReader } from "@llamaindex/readers/directory";
-import { storageContextFromDefaults, VectorStoreIndex } from "llamaindex";
+import {
+  OpenAI,
+  storageContextFromDefaults,
+  VectorStoreIndex,
+} from "llamaindex";
 import { initSettings } from "./app/settings";
 import fs from "fs";
 import { generateEventComponent } from "@llamaindex/server";
-import { OpenAI } from "@llamaindex/openai";
+import { UIEventSchema } from "./app/workflow";

 async function generateDatasource() {
  console.log(`Generating storage context...`);
@@ -26,14 +30,6 @@ async function generateUi() {
  // Also works well with Claude 3.5 Sonnet and Google Gemini 2.5 Pro
  const llm = new OpenAI({ model: "gpt-4.1" });

-  const workflowModule = await import("./app/workflow");
-  const UIEventSchema = (workflowModule as any).UIEventSchema;
-  if (!UIEventSchema) {
-    throw new Error(
-      "To generate the UI, you must define a UIEventSchema in your workflow.",
-    );
-  }
-
  // You can also generate for other workflow events
  const generatedCode = await generateEventComponent(UIEventSchema, llm);
  // Write the generated code to components/ui_event.ts
@@ -8,6 +8,7 @@ initSettings();
 new LlamaIndexServer({
  workflow: workflowFactory,
  uiConfig: {
+    appTitle: "LlamaIndex App",
    componentsDir: "components",
    devMode: true,
  },
@@ -1,8 +1 @@
-# server contains Nextjs frontend code (not compiled)
-server/
-
-# the ejected nextjs project
-project/
-
-# temp is the copy of next folder but without API folder, used to build frontend static files
-temp/
+server/
@@ -1,33 +1,5 @@
 # @llamaindex/server

-## 0.2.4
-
-### Patch Changes
-
- 5fe9e17: support eject to fully customize next folder
- b8a1ff6: Bump version: chat-ui@0.4.6
-
-## 0.2.3
-
-### Patch Changes
-
- eee3230: feat: support custom layout
- 0bc5a0d: Add suggestNextQuestions config
- 3acec88: chore: bump chat-ui
-
-## 0.2.2
-
-### Patch Changes
-
- 25fba43: refactor: migrate to Nextjs Route Handler
- 6f75d4a: fix: unsupported language in code gen workflow
-
-## 0.2.1
-
-### Patch Changes
-
- f072308: feat: add dev mode UI
-
 ## 0.2.0

 ### Minor Changes
@@ -1,160 +0,0 @@
-# @llamaindex/server Package
-
-This package provides a Next.js-based server framework for running LlamaIndex workflows with both API endpoints and a chat UI interface.
-
-## Overview
-
-The `@llamaindex/server` package (`src/`) allows you to quickly launch LlamaIndex Workflows and Agent Workflows as an API server with an optional sophisticated chat UI. It combines a backend API server with a frontend React interface built on Next.js.
-
-## Key Components
-
-### Core Server (src/server.ts)
-
- **LlamaIndexServer class**: Main server implementation that wraps Next.js
- Handles workflow factory initialization and UI configuration
- Manages custom components and layout directories
- Creates HTTP server with custom routing for chat API
- Automatically configures client-side config in `public/config.js`
-
-### Chat Handler (src/handlers/chat.ts)
-
- **handleChat function**: Processes POST requests to `/api/chat`
- Converts AI SDK messages to LlamaIndex format
- Manages workflow execution with abort signals
- Streams responses back to client with optional question suggestions
- Handles errors and validation
-
-### Workflow Management (src/utils/workflow.ts)
-
- **runWorkflow function**: Executes workflows with proper event handling
- Transforms workflow events (tool calls, source nodes) into UI-friendly formats
- Downloads LlamaCloud files automatically in background
- Processes agent events and source annotations
-
-### Event System (src/events.ts)
-
- **Source Events**: For displaying document/file sources with metadata
- **Agent Events**: For showing agent tool usage and progress
- **Artifact Events**: For structured data like code/documents sent to Canvas UI
- Helper functions for converting LlamaIndex data to UI events
-
-### UI Generation (src/utils/gen-ui.ts)
-
- **generateEventComponent function**: Uses LLM to auto-generate React components
- Creates workflow for UI planning, aggregation, and code generation
- Validates generated components against supported dependencies
- Supports shadcn/ui, lucide-react, tailwind CSS, and LlamaIndex chat-ui
-
-### Types (src/types.ts)
-
- **WorkflowFactory**: Function signature for creating workflow instances
- **UIConfig**: Configuration options for chat interface
- **LlamaIndexServerOptions**: Main server configuration interface
-
-## Next.js Frontend
-
-The `next/` directory contains the React frontend:
-
-### API Routes
-
- `/api/chat/route.ts`: Main chat endpoint (delegates to handleChat)
- `/api/components/route.ts`: Serves custom UI components
- `/api/layout/route.ts`: Serves custom layout components
- `/api/files/[...slug]/route.ts`: File serving for data/output folders
-
-### UI Components
-
- Chat interface with message history, streaming responses, and canvas panel
- Extensible component system for custom workflow events
- Custom layout support for headers/footers
- Built with shadcn/ui components and Tailwind CSS
-
-## Build Process
-
-### Development
-
-```bash
-pnpm dev  # Watch mode with bunchee
-```
-
-### Production Build
-
-```bash
-pnpm build  # Multi-step build process
-```
-
-The build process:
-
-1. **prebuild**: Cleans dist, server, and temp directories
-2. **build**: Compiles source with bunchee to ESM/CJS
-3. **postbuild**: Prepares TypeScript server and Python static assets
-4. **prepare:ts-server**: Copies Next.js app, builds CSS, compiles API routes
-5. **prepare:py-static**: Creates static build for Python integration
-
-## Key Features
-
-### Workflow Integration
-
- Factory pattern for creating workflow instances per request
- Supports Agent Workflows with startAgentEvent/stopAgentEvent contract
- Automatic event transformation and streaming
- Built-in tool call and source node handling
-
-### UI Extensibility
-
- AI-generated components based on Zod schemas
- Custom layout sections (header/footer)
- Canvas panel for artifacts (documents, code)
- Event aggregation and real-time updates
-
-### File Handling
-
- Automatic mounting of `data/` and `output/` folders
- LlamaCloud file downloads in background
- Static asset serving through Next.js
-
-### Development Features
-
- Hot reload support for workflow code (beta)
- Dev mode panel for live code editing
- TypeScript support throughout
- Comprehensive error handling
-
-## Configuration
-
-Server configuration through `LlamaIndexServerOptions`:
-
- `workflow`: Factory function for creating workflow instances
- `uiConfig.starterQuestions`: Predefined questions for chat interface
- `uiConfig.componentsDir`: Directory for custom event components
- `uiConfig.layoutDir`: Directory for custom layout components
- `uiConfig.llamaCloudIndexSelector`: Enable LlamaCloud integration
- `uiConfig.devMode`: Enable live code editing
- `suggestNextQuestions`: Auto-suggest follow-up questions
-
-## Dependencies
-
-### Runtime Dependencies
-
- Next.js 15+ for server framework
- React 19+ for UI components
- LlamaIndex workflow engine
- Radix UI components (shadcn/ui)
- AI SDK for streaming responses
-
-### Development Dependencies
-
- Bunchee for bundling
- TypeScript for type safety
- Tailwind CSS for styling
- PostCSS for CSS processing
-
-## Usage Patterns
-
-1. **Basic Setup**: Create workflow factory, configure UI, start server
-2. **Custom Events**: Define Zod schemas, generate UI components with LLM
-3. **File Integration**: Use data/output folders for document processing
-4. **Development**: Use dev mode for iterative workflow development
-5. **Production**: Build static assets for deployment with Python backend
-
-The package serves as a complete solution for deploying LlamaIndex workflows with professional chat interfaces and extensible UI components.
@@ -4,10 +4,10 @@ LlamaIndexServer is a Next.js-based application that allows you to quickly launc

 ## Features

- Add a sophisticated chatbot UI to your LlamaIndex workflow
- Edit code and document artifacts in an OpenAI Canvas-style UI
- Extendable UI components for events and headers
+- Serving a workflow as a chatbot
 - Built on Next.js for high performance and easy API development
+- Optional built-in chat UI with extendable UI components
+- Prebuilt development code

 ## Installation

@@ -21,22 +21,19 @@ Create an `index.ts` file and add the following code:

 ```ts
 import { LlamaIndexServer } from "@llamaindex/server";
-import { openai } from "@llamaindex/openai";
-import { agent } from "@llamaindex/workflow";
 import { wiki } from "@llamaindex/tools"; // or any other tool

-const createWorkflow = () => agent({ tools: [wiki()], llm: openai("gpt-4o") });
+const createWorkflow = () => agent({ tools: [wiki()] });

 new LlamaIndexServer({
  workflow: createWorkflow,
  uiConfig: {
+    appTitle: "LlamaIndex App",
    starterQuestions: ["Who is the first president of the United States?"],
  },
 }).start();
 ```

-The `createWorkflow` function is a factory function that creates an [Agent Workflow](https://ts.llamaindex.ai/docs/llamaindex/modules/agents/agent_workflow) with a tool that retrieves information from Wikipedia in this case. For more details, read about the [Workflow factory contract](#workflow-factory-contract).
-
 ## Running the Server

 In the same directory as `index.ts`, run the following command to start the server:
@@ -57,76 +54,16 @@ curl -X POST "http://localhost:3000/api/chat" -H "Content-Type: application/json

 The `LlamaIndexServer` accepts the following configuration options:

- `workflow`: A callable function that creates a workflow instance for each request. See [Workflow factory contract](#workflow-factory-contract) for more details.
+- `workflow`: A callable function that creates a workflow instance for each request
 - `uiConfig`: An object to configure the chat UI containing the following properties:
+  - `appTitle`: The title of the application (default: `"LlamaIndex App"`)
  - `starterQuestions`: List of starter questions for the chat UI (default: `[]`)
  - `componentsDir`: The directory for custom UI components rendering events emitted by the workflow. The default is undefined, which does not render custom UI components.
-  - `layoutDir`: The directory for custom layout sections. The default value is `layout`. See [Custom Layout](#custom-layout) for more details.
  - `llamaCloudIndexSelector`: Whether to show the LlamaCloud index selector in the chat UI (requires `LLAMA_CLOUD_API_KEY` to be set in the environment variables) (default: `false`)
-  - `dev_mode`: When enabled, you can update workflow code in the UI and see the changes immediately. It's currently in beta and only supports updating workflow code at `app/src/workflow.ts`. Please start server in dev mode (`npm run dev`) to use see this reload feature enabled.
- `suggestNextQuestions`: Whether to suggest next questions after the assistant's response (default: `true`). You can change the prompt for the next questions by setting the `NEXT_QUESTION_PROMPT` environment variable.

 LlamaIndexServer accepts all the configuration options from Nextjs Custom Server such as `port`, `hostname`, `dev`, etc.
 See all Nextjs Custom Server options [here](https://nextjs.org/docs/app/building-your-application/configuring/custom-server).

-## Workflow factory contract
-
-The `workflow` provided will be called for each chat request to initialize a new workflow instance. The contract of the generated workflow must be the same as for the [Agent Workflow](https://ts.llamaindex.ai/docs/llamaindex/modules/agents/agent_workflow).
-
-This means that the workflow must handle a `startAgentEvent` event, which is the entry point of the workflow and contains the following information in it's `data` property:
-
-```typescript
-{
-  userInput: MessageContent;
-  chatHistory?: ChatMessage[] | undefined;
-};
-```
-
-The `userInput` is the latest user message and the `chatHistory` is the list of messages exchanged between the user and the workflow so far.
-
-Furthermore, the workflow must stop with a `stopAgentEvent` event to mark the end of the workflow. In between, the workflow can emit [UI events](##AI-generated-UI-Components) to render custom UI components and [Artifact events](##Sending-Artifacts-to-the-UI) to send structured data like generated documents or code snippets to the UI.
-
-```ts
-import {
-  createStatefulMiddleware,
-  createWorkflow,
-  startAgentEvent,
-} from "@llamaindex/workflow";
-import { ChatMemoryBuffer, type ChatMessage, Settings } from "llamaindex";
-import { openai } from "@llamaindex/openai";
-import { wiki } from "@llamaindex/tools";
-
-Settings.llm = openai("gpt-4o");
-
-export const workflowFactory = async () => {
-  const workflow = createWorkflow();
-
-  workflow.handle([startAgentEvent], async ({ data }) => {
-    const { state, sendEvent } = getContext();
-    const messages = data.chatHistory;
-
-    const toolCallResponse = await chatWithTools(
-      Settings.llm,
-      [wiki()],
-      messages,
-    );
-
-    // using result from tool call and use `sendEvent` to emit the next event...
-  });
-
-  // define more workflow handling logic here...
-
-  // Finally stop with a `stopAgentEvent` event to mark the end of the workflow.
-  // return stopAgentEvent.with({
-  //   result: "This is the end!",
-  // });
-
-  return workflow;
-};
-```
-
-To generate sophisticated examples of workflows, you best use the [create-llama](https://github.com/run-llama/create-llama) project.
-
 ## AI-generated UI Components

 The LlamaIndex server provides support for rendering workflow events using custom UI components, allowing you to extend and customize the chat interface.
@@ -186,28 +123,6 @@ Feel free to modify the generated code to match your needs. If you're not satisf

 > Note that `generateEventComponent` is generating JSX code, but you can also provide a TSX file.

-## Custom Layout
-
-LlamaIndex Server supports custom layout for header and footer. To use custom layout, you need to initialize the LlamaIndex server with the `layoutDir` that contains your custom layout files.
-
-```ts
-new LlamaIndexServer({
-  workflow: createWorkflow,
-  uiConfig: {
-    layoutDir: "layout",
-  },
-}).start();
-```
-
-```
-layout/
-  header.tsx
-  footer.tsx
-```
-
-We currently support custom header and footer for the chat interface. The syntax for these files is the same as events components in components directory.
-Note that by default, we are still rendering the default LlamaIndex Header. It's also the fallback when having errors rendering the custom header. Example layout files will be generated in the `layout` directory of your project when creating a new project with `create-llama`.
-
 ### Server Setup

 To use the generated UI components, you need to initialize the LlamaIndex server with the `componentsDir` that contains your custom UI components:
@@ -216,71 +131,12 @@ To use the generated UI components, you need to initialize the LlamaIndex server
 new LlamaIndexServer({
  workflow: createWorkflow,
  uiConfig: {
+    appTitle: "LlamaIndex App",
    componentsDir: "components",
  },
 }).start();
 ```

-## Sending Artifacts to the UI
-
-In addition to UI events for custom components, LlamaIndex Server supports a special `ArtifactEvent` to send structured data like generated documents or code snippets to the UI. These artifacts are displayed in a dedicated "Canvas" panel in the chat interface.
-
-### Artifact Event Structure
-
-To send an artifact, your workflow needs to emit an event with `type: "artifact"`. The `data` payload of this event should include:
-
- `type`: A string indicating the type of artifact (e.g., `"document"`, `"code"`).
- `created_at`: A timestamp (e.g., `Date.now()`) indicating when the artifact was created.
- `data`: An object containing the specific details of the artifact. The structure of this object depends on the artifact `type`.
-
-### Defining and Sending an ArtifactEvent
-
-First, define your artifact event using `workflowEvent` from `@llamaindex/workflow`:
-
-```typescript
-import { workflowEvent } from "@llamaindex/workflow";
-
-// Example for a document artifact
-const artifactEvent = workflowEvent<{
-  type: "artifact"; // Must be "artifact"
-  data: {
-    type: "document"; // Custom type for your artifact (e.g., "document", "code")
-    created_at: number;
-    data: {
-      // Specific data for the document artifact type
-      title: string;
-      content: string;
-      type: "markdown" | "html"; // document format
-    };
-  };
-}>();
-```
-
-Then, within your workflow logic, use `sendEvent` (obtained from `getContext()`) to emit the event:
-
-```typescript
-// Assuming 'sendEvent' is available in your workflow handler
-// and 'documentDetails' contains the content for the artifact.
-
-sendEvent(
-  artifactEvent.with({
-    type: "artifact", // This top-level type must be "artifact"
-    data: {
-      type: "document", // This is your specific artifact type
-      created_at: Date.now(),
-      data: {
-        title: "My Generated Document",
-        content: "# Hello World
-This is a markdown document.",
-        type: "markdown",
-      },
-    },
-  }),
-);
-```
-
-This will send the artifact to the LlamaIndex Server UI, where it will be rendered in the [ChatCanvasPanel](/packages/server/next/app/components/ui/chat/canvas/panel.tsx) by a renderer depending on the artifact type. For type `document` this is using the [DocumentArtifactViewer](https://github.com/run-llama/chat-ui/blob/bacb75fc6edceacf742fba18632404a2483b5a81/packages/chat-ui/src/chat/canvas/artifacts/document.tsx#L17).
-
 ## Default Endpoints and Features

 ### Chat Endpoint
@@ -300,23 +156,6 @@ The server always provides a chat interface at the root path (`/`) with:
 - The server automatically mounts the `data` and `output` folders at `{server_url}{api_prefix}/files/data` (default: `/api/files/data`) and `{server_url}{api_prefix}/files/output` (default: `/api/files/output`) respectively.
 - Your workflows can use both folders to store and access files. By convention, the `data` folder is used for documents that are ingested, and the `output` folder is used for documents generated by the workflow.

-### Eject Mode
-
-If you want to fully customize the server UI and routes, you can use `npm eject`. It will create a normal Next.js project with the same functionality as @llamaindex/server.
-By default, the ejected project will be in the `next` directory in the current working directory. You can change the output directory by providing custom path after `eject` command:
-
-```bash
-npm eject <path-to-output-directory>
-```
-
-How eject works:
-
-1. Init nextjs project with eslint, prettier, postcss, tailwindcss, shadcn components, etc.
-2. Copy your workflow definition and setting files in src/app/\* to the ejected project in app/api/chat
-3. Copy your components, data, output, storage folders to the ejected project
-4. Copy your current .env file to the ejected project
-5. Clean up files that are no longer needed and update imports
-
 ## API Reference

 - [LlamaIndexServer](https://ts.llamaindex.ai/docs/api/classes/LlamaIndexServer)
@@ -1,172 +0,0 @@
-#!/usr/bin/env node
-
-const fs = require("fs").promises;
-const path = require("path");
-
-// Resolve the project directory in node_modules/@llamaindex/server/project
-// This is the template that used to construct the nextjs project
-const projectDir = path.resolve(__dirname, "../project");
-
-// Resolve the src directory that contains workflow & setting files
-const srcDir = path.join(process.cwd(), "src");
-const srcAppDir = path.join(srcDir, "app");
-const generateFile = path.join(srcDir, "generate.ts");
-const envFile = path.join(process.cwd(), ".env");
-
-// The environment variables that are used as LlamaIndexServer configs
-const SERVER_CONFIG_VARS = [
-  {
-    key: "OPENAI_API_KEY",
-    defaultValue: "<your-openai-api-key>",
-    description: "OpenAI API key",
-  },
-  {
-    key: "SUGGEST_NEXT_QUESTIONS",
-    defaultValue: "true",
-    description: "Whether to suggest next questions (`suggestNextQuestions`)",
-  },
-  {
-    key: "COMPONENTS_DIR",
-    defaultValue: "components",
-    description: "Directory for custom components (`componentsDir`)",
-  },
-  {
-    key: "WORKFLOW_FILE_PATH",
-    defaultValue: "app/api/chat/app/workflow.ts",
-    description: "The path to the workflow file (will be updated in dev mode)",
-  },
-  {
-    key: "NEXT_PUBLIC_USE_COMPONENTS_DIR",
-    defaultValue: "true",
-    description: "Whether to enable components directory feature on frontend",
-  },
-  {
-    key: "NEXT_PUBLIC_DEV_MODE",
-    defaultValue: "true",
-    description: "Whether to enable dev mode (`devMode`)",
-  },
-  {
-    key: "NEXT_PUBLIC_STARTER_QUESTIONS",
-    defaultValue: '["Summarize the document", "What are the key points?"]',
-    description:
-      "Initial questions to display in the chat (`starterQuestions`)",
-  },
-  {
-    key: "NEXT_PUBLIC_SHOW_LLAMACLOUD_SELECTOR",
-    defaultValue: "false",
-    description:
-      "Whether to show LlamaCloud selector for frontend (`llamaCloudIndexSelector`)",
-  },
-];
-
-async function eject() {
-  try {
-    // validate required directories (nextjs project template, src directory, src/app directory)
-    const requiredDirs = [projectDir, srcDir, srcAppDir];
-    for (const dir of requiredDirs) {
-      const exists = await fs
-        .access(dir)
-        .then(() => true)
-        .catch(() => false);
-      if (!exists) {
-        console.error("Error: directory does not exist at", dir);
-        process.exit(1);
-      }
-    }
-
-    // Get destination directory from command line arguments (pnpm eject <path>)
-    const args = process.argv;
-    const outputIndex = args.indexOf("eject");
-    const destDir =
-      outputIndex !== -1 && args[outputIndex + 1]
-        ? path.resolve(args[outputIndex + 1]) // Use provided path after eject
-        : path.join(process.cwd(), "next"); // Default to "next" folder in the current working directory
-
-    // remove destination directory if it exists
-    await fs.rm(destDir, { recursive: true, force: true });
-
-    // create destination directory
-    await fs.mkdir(destDir, { recursive: true });
-
-    // Copy the nextjs project template to the destination directory
-    await fs.cp(projectDir, destDir, { recursive: true });
-
-    // copy src/app/* to destDir/app/api/chat
-    const chatRouteDir = path.join(destDir, "app", "api", "chat");
-    await fs.cp(srcAppDir, path.join(chatRouteDir, "app"), { recursive: true });
-
-    // nextjs project doesn't depend on @llamaindex/server anymore, we need to update the imports in workflow file
-    const workflowFile = path.join(chatRouteDir, "app", "workflow.ts");
-    let workflowContent = await fs.readFile(workflowFile, "utf-8");
-    workflowContent = workflowContent.replace("@llamaindex/server", "../utils");
-    await fs.writeFile(workflowFile, workflowContent);
-
-    // copy generate.ts if it exists
-    const genFilePath = path.join(chatRouteDir, "generate.ts");
-    const genFileExists = await copy(generateFile, genFilePath);
-    if (genFileExists) {
-      // update the import @llamaindex/server in generate.ts
-      let genContent = await fs.readFile(genFilePath, "utf-8");
-      genContent = genContent.replace("@llamaindex/server", "./utils");
-      await fs.writeFile(genFilePath, genContent);
-    }
-
-    // copy folders in root directory if exists
-    const rootFolders = ["components", "data", "output", "storage"];
-    for (const folder of rootFolders) {
-      await copy(path.join(process.cwd(), folder), path.join(destDir, folder));
-    }
-
-    // copy .env if it exists or create a new one
-    const envFileExists = await copy(envFile, path.join(destDir, ".env"));
-    if (!envFileExists) {
-      await fs.writeFile(path.join(destDir, ".env"), "");
-    }
-
-    // update .env file with more server configs
-    let envFileContent = await fs.readFile(path.join(destDir, ".env"), "utf-8");
-    for (const envVar of SERVER_CONFIG_VARS) {
-      const { key, defaultValue, description } = envVar;
-      if (!envFileContent.includes(key)) {
-        // if the key is not exists in the env file, add it
-        envFileContent += `\n# ${description}\n${key}=${defaultValue}\n`;
-      }
-    }
-    await fs.writeFile(path.join(destDir, ".env"), envFileContent);
-
-    // rename gitignore -> .gitignore
-    await fs.rename(
-      path.join(destDir, "gitignore"),
-      path.join(destDir, ".gitignore"),
-    );
-
-    // user can customize layout directory in nextjs project, remove layout api
-    await fs.rm(path.join(destDir, "app", "api", "layout"), {
-      recursive: true,
-      force: true,
-    });
-
-    // remove no-needed files
-    await fs.unlink(path.join(destDir, "public", "config.js"));
-    await fs.unlink(path.join(destDir, "next-build.config.ts"));
-
-    console.log("Successfully ejected @llamaindex/server to", destDir);
-  } catch (error) {
-    console.error("Error during eject:", error.message);
-    process.exit(1);
-  }
-}
-
-// copy src to dest if src exists, return true if src exists
-async function copy(src, dest) {
-  const srcExists = await fs
-    .access(src)
-    .then(() => true)
-    .catch(() => false);
-  if (srcExists) {
-    await fs.cp(src, dest, { recursive: true });
-  }
-  return srcExists;
-}
-
-eject();
@@ -1,186 +0,0 @@
-# LlamaIndex Server Examples
-
-This package contains practical examples demonstrating how to use the `@llamaindex/server` package to build chat applications with LlamaIndex workflows.
-
-## Package Overview
-
-The examples package is a collection of standalone TypeScript applications that showcase different features and capabilities of the LlamaIndex Server framework. Each example can be run independently to demonstrate specific functionality.
-
-## Key Features Demonstrated
-
-### 1. Simple Workflow (`simple-workflow/calculator.ts`)
-
- **Purpose**: Basic agent workflow with tool integration
- **Features**: Calculator agent with add tool, starter questions
- **Key Concepts**: Tool definition with Zod schemas, basic server setup
-
-### 2. Agentic RAG (`agentic-rag/index.ts`)
-
- **Purpose**: Retrieval-Augmented Generation with document querying
- **Features**: Vector store index, document ingestion, query engine tool, automatic question suggestions
- **Key Concepts**: RAG implementation, source node inclusion, embedding models
-
-### 3. Custom Layout (`custom-layout/index.ts` + `layout/header.tsx`)
-
- **Purpose**: Custom UI components and layout customization
- **Features**: Weather agent with custom header layout, branded interface
- **Key Concepts**: Layout directory configuration, React component integration
-
-### 4. Development Mode (`devmode/index.ts` + `src/app/workflow.ts`)
-
- **Purpose**: Live development and hot reloading capabilities
- **Features**: Dev mode panel, workflow file hot reloading, separate workflow file structure
- **Key Concepts**: Development workflow, file watching, modular architecture
-
-## Development Scripts
-
-```bash
-# Type checking
-pnpm typecheck
-
-# Run development server (defaults to simple-workflow/calculator.ts)
-pnpm dev
-
-# Run specific examples
-npx nodemon --exec tsx agentic-rag/index.ts
-npx nodemon --exec tsx custom-layout/index.ts
-npx nodemon --exec tsx devmode/index.ts --ignore src/app/workflow_*.ts  # Dev mode with file watching
-```
-
-## Environment Setup
-
-All examples require OpenAI API access:
-
-```bash
-export OPENAI_API_KEY=your_openai_api_key
-```
-
-## Dependencies
-
-### Core Dependencies
-
- `@llamaindex/server`: Main server framework (workspace dependency)
- `@llamaindex/workflow`: Workflow engine for agent creation
- `@llamaindex/openai`: OpenAI LLM and embedding integrations
- `@llamaindex/tools`: Tool utilities
- `@llamaindex/readers`: Document readers
- `llamaindex`: Core LlamaIndex library
- `zod`: Schema validation for tools
-
-### Development Dependencies
-
- `tsx`: TypeScript execution for development
- `nodemon`: File watching and auto-restart
- `typescript`: TypeScript compiler
-
-## Architecture Patterns
-
-### Workflow Factory Pattern
-
-All examples use the workflow factory pattern:
-
-```typescript
-const workflowFactory = () => agent({ tools: [...] });
-// or
-const workflowFactory = async () => { /* setup logic */ return agent({ tools: [...] }); };
-```
-
-### Server Configuration
-
-Standard server setup pattern:
-
-```typescript
-new LlamaIndexServer({
-  workflow: workflowFactory,
-  uiConfig: {
-    /* UI configuration */
-  },
-  port: 3000,
-}).start();
-```
-
-### Tool Definition Pattern
-
-Consistent tool creation with Zod schemas:
-
-```typescript
-tool({
-  name: "tool_name",
-  description: "Tool description",
-  parameters: z.object({
-    /* parameters */
-  }),
-  execute: (params) => {
-    /* implementation */
-  },
-});
-```
-
-## Example-Specific Features
-
-### Simple Workflow
-
- Basic arithmetic operations
- Minimal setup for learning
- Demonstrates core workflow concepts
-
-### Agentic RAG
-
- Document indexing with embeddings
- Vector similarity search
- Source node tracking for citations
- Auto-generated follow-up questions
-
-### Custom Layout
-
- Custom React components in `layout/` directory
- Branded header with navigation
- Layout directory configuration (`layoutDir: "layout"`)
-
-### Dev Mode
-
- Live code editing in browser
- Hot reloading of workflow files
- Separate workflow file organization
- Development panel UI
-
-## TypeScript Configuration
-
- Target: ES2022 with bundler module resolution
- Strict type checking enabled
- Excludes: `node_modules`, `dist`, `custom-layout/layout` (runtime components)
- Output: `dist/` directory
-
-## Development Workflow
-
-1. **Choose Example**: Select appropriate example for your use case
-2. **Environment Setup**: Configure OpenAI API key
-3. **Run Development Server**: Use `pnpm dev` or specific nodemon commands
-4. **Access UI**: Open browser at `http://localhost:3000`
-5. **Iterate**: Modify code and see changes in real-time
-
-## Common Patterns
-
-### Agent Creation
-
-All examples use the `agent()` function from `@llamaindex/workflow` with tool arrays.
-
-### UI Configuration
-
- `starterQuestions`: Predefined questions for user guidance
- `layoutDir`: Custom layout components directory
- `devMode`: Enable development features
- `suggestNextQuestions`: Auto-generate follow-up questions
-
-### Error Handling
-
-Examples demonstrate proper async/await patterns and error handling for LLM operations.
-
-## Integration Points
-
- **LlamaIndex Core**: Document processing, indexing, querying
- **OpenAI**: LLM and embedding model integration
- **React/Next.js**: Frontend UI components and server-side rendering
- **TypeScript**: Type safety throughout the application stack
-
-This examples package serves as a comprehensive reference for building production-ready chat applications with LlamaIndex workflows.
@@ -6,7 +6,7 @@ This directory contains examples of how to use the LlamaIndex Server.

 ```bash
 export OPENAI_API_KEY=your_openai_api_key
-pnpm run dev
+npx tsx simple-workflow/calculator.ts
 ```

 ## Open browser at http://localhost:3000
@@ -35,9 +35,9 @@ export const workflowFactory = async () => {

 new LlamaIndexServer({
  workflow: workflowFactory,
-  suggestNextQuestions: true,
  uiConfig: {
+    appTitle: "LlamaIndex App",
    starterQuestions: ["What is the color of the dog?"],
  },
-  port: 3000,
+  port: 4100,
 }).start();
@@ -1,27 +0,0 @@
-import { LlamaIndexServer } from "@llamaindex/server";
-import { agent } from "@llamaindex/workflow";
-import { tool } from "llamaindex";
-import { z } from "zod";
-
-const weatherAgent = agent({
-  tools: [
-    tool({
-      name: "weather",
-      description: "Get the weather in a given city",
-      parameters: z.object({ city: z.string() }),
-      execute: ({ city }) => `The weather in ${city} is sunny`,
-    }),
-  ],
-});
-
-new LlamaIndexServer({
-  workflow: () => weatherAgent,
-  uiConfig: {
-    starterQuestions: [
-      "What is the weather in Tokyo?",
-      "What is the weather in Ho Chi Minh City?",
-    ],
-    layoutDir: "layout",
-  },
-  port: 3000,
-}).start();
@@ -1,40 +0,0 @@
-"use client";
-
-import { Sparkles, Star } from "lucide-react";
-
-export default function Header() {
-  return (
-    <div className="flex items-center justify-between px-4 pt-2">
-      <div className="flex items-center gap-2">
-        <Sparkles className="size-4" />
-        <h1 className="font-semibold">LlamaIndex App</h1>
-      </div>
-      <div className="flex items-center justify-end gap-4">
-        <div className="flex items-center gap-2">
-          <a
-            href="https://www.llamaindex.ai/"
-            target="_blank"
-            rel="noopener noreferrer"
-            className="text-sm text-gray-600 hover:text-gray-800 dark:text-gray-400 dark:hover:text-gray-200"
-          >
-            Built by LlamaIndex
-          </a>
-          <img
-            className="h-[24px] w-[24px] rounded-sm"
-            src="/llama.png"
-            alt="Llama Logo"
-          />
-        </div>
-        <a
-          href="https://github.com/run-llama/LlamaIndexTS"
-          target="_blank"
-          rel="noopener noreferrer"
-          className="hover:bg-accent flex items-center gap-2 rounded-md border border-gray-300 px-2 py-1 text-sm"
-        >
-          <Star className="size-4" />
-          Star on GitHub
-        </a>
-      </div>
-    </div>
-  );
-}
@@ -6,9 +6,10 @@ First, we need to set `devMode` to `true` in the `uiConfig` of the server.
 new LlamaIndexServer({
  workflow: workflowFactory,
  uiConfig: {
+    appTitle: "Calculator",
    devMode: true,
  },
-  port: 3000,
+  port: 6000,
 }).start();
 ```

@@ -16,5 +17,5 @@ Export OpenAI API key and start the server in dev mode.

 ```bash
 export OPENAI_API_KEY=<your-openai-api-key>
-npx nodemon --exec tsx index.ts --ignore src/app/workflow_*.ts
+npx tsx watch index.ts
 ```
@@ -4,11 +4,12 @@ import { workflowFactory } from "./src/app/workflow";
 new LlamaIndexServer({
  workflow: workflowFactory,
  uiConfig: {
+    appTitle: "Calculator",
    devMode: true,
    starterQuestions: [
      "What is the weather in Tokyo?",
      "What is the weather in New York?",
    ],
  },
-  port: 3000,
+  port: 6005,
 }).start();
@@ -17,7 +17,8 @@ const calculatorAgent = agent({
 new LlamaIndexServer({
  workflow: () => calculatorAgent,
  uiConfig: {
+    appTitle: "Calculator",
    starterQuestions: ["1 + 1", "2 + 2"],
  },
-  port: 3000,
+  port: 4000,
 }).start();
@@ -10,5 +10,5 @@
    "outDir": "dist"
  },
  "include": ["**/*"],
-  "exclude": ["node_modules", "dist", "custom-layout/layout"]
+  "exclude": ["node_modules", "dist"]
 }
@@ -26,7 +26,6 @@ yarn-error.log*

 # local env files
 .env*.local
-.env

 # vercel
 .vercel
@@ -36,6 +35,5 @@ yarn-error.log*
 next-env.d.ts

 output/
-storage/

 !lib/
@@ -1,45 +0,0 @@
-This is a [LlamaIndex](https://www.llamaindex.ai/) project using [Next.js](https://nextjs.org/) that is ejected from [`llamaindex-server`](https://github.com/run-llama/create-llama/tree/main/packages/server) via `npm eject` command.
-
-## Quick Start
-
-As this is a Next.js project, you can use the following commands to start the development server:
-
-```bash
-npm install
-npm run dev
-```
-
-Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
-
-## Useful Commands
-
- Generate Datasource (in case you're having a `./data` folder): `npm run generate`
- Typecheck: `npm run typecheck`
- Lint: `npm run lint`
- Format: `npm run format`
- Build & Start: `npm run build && npm run start`
-
-## Deployment
-
-The project can be deployed to any platform that supports Next.js like Vercel.
-
-## Configuration
-
-Your original [`llamaindex-server`](https://github.com/run-llama/create-llama/tree/main/packages/server#configuration-options) configurations have been migrated to a [`.env`](.env) file.
-
-Changing the `.env` file will change the behavior of the application, e.g. for changing the initial questions to display in the chat, you can do:
-
-```
-NEXT_PUBLIC_STARTER_QUESTIONS=['What is the capital of France?']
-```
-
-Alternatively, you can also change the file referencing `process.env.NEXT_PUBLIC_STARTER_QUESTIONS` directly in the source code.
-
-## Learn More
-
-To learn more about LlamaIndex, take a look at the following resources:
-
- [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex (Python features).
- [LlamaIndexTS Documentation](https://ts.llamaindex.ai) - learn about LlamaIndex (Typescript features).
-
-You can check out [the LlamaIndexTS GitHub repository](https://github.com/run-llama/LlamaIndexTS) - your feedback and contributions are welcome!
@@ -1,32 +0,0 @@
-import { getEnv } from "@llamaindex/env";
-import { LLamaCloudFileService } from "llamaindex";
-import { NextRequest, NextResponse } from "next/server";
-
-export async function GET(request: NextRequest): Promise<NextResponse> {
-  if (!getEnv("LLAMA_CLOUD_API_KEY")) {
-    return NextResponse.json(
-      {
-        error: "env variable LLAMA_CLOUD_API_KEY is required to use LlamaCloud",
-      },
-      { status: 500 },
-    );
-  }
-
-  try {
-    const config = {
-      projects: await LLamaCloudFileService.getAllProjectsWithPipelines(),
-      pipeline: {
-        pipeline: getEnv("LLAMA_CLOUD_INDEX_NAME"),
-        project: getEnv("LLAMA_CLOUD_PROJECT_NAME"),
-      },
-    };
-    return NextResponse.json(config, { status: 200 });
-  } catch (error) {
-    return NextResponse.json(
-      {
-        error: "Failed to fetch LlamaCloud configuration",
-      },
-      { status: 500 },
-    );
-  }
-}
@@ -1,86 +0,0 @@
-import { type AgentInputData } from "@llamaindex/workflow";
-import { type Message } from "ai";
-import { type MessageType } from "llamaindex";
-import { NextRequest, NextResponse } from "next/server";
-
-// import chat utils
-import {
-  runWorkflow,
-  sendSuggestedQuestionsEvent,
-  toDataStream,
-} from "./utils";
-
-// import workflow factory and settings from local file
-import { initSettings } from "./app/settings";
-import { workflowFactory } from "./app/workflow";
-
-initSettings();
-
-export async function POST(req: NextRequest) {
-  try {
-    const reqBody = await req.json();
-    const suggestNextQuestions = process.env.SUGGEST_NEXT_QUESTIONS === "true";
-
-    const { messages } = reqBody as { messages: Message[] };
-    const chatHistory = messages.map((message) => ({
-      role: message.role as MessageType,
-      content: message.content,
-    }));
-
-    const lastMessage = messages[messages.length - 1];
-    if (lastMessage?.role !== "user") {
-      return NextResponse.json(
-        {
-          detail: "Messages cannot be empty and last message must be from user",
-        },
-        { status: 400 },
-      );
-    }
-    const workflowInput: AgentInputData = {
-      userInput: lastMessage.content,
-      chatHistory,
-    };
-
-    const abortController = new AbortController();
-    req.signal.addEventListener("abort", () =>
-      abortController.abort("Connection closed"),
-    );
-
-    const workflow = await workflowFactory(reqBody);
-    const workflowEventStream = await runWorkflow(
-      workflow,
-      workflowInput,
-      abortController.signal,
-    );
-
-    const dataStream = toDataStream(workflowEventStream, {
-      callbacks: {
-        onFinal: async (completion, dataStreamWriter) => {
-          chatHistory.push({
-            role: "assistant" as MessageType,
-            content: completion,
-          });
-          if (suggestNextQuestions) {
-            await sendSuggestedQuestionsEvent(dataStreamWriter, chatHistory);
-          }
-        },
-      },
-    });
-
-    return new Response(dataStream, {
-      status: 200,
-      headers: {
-        "Content-Type": "text/plain; charset=utf-8",
-        "X-Vercel-AI-Data-Stream": "v1",
-      },
-    });
-  } catch (error) {
-    console.error("Chat handler error:", error);
-    return NextResponse.json(
-      {
-        detail: (error as Error).message || "Internal server error",
-      },
-      { status: 500 },
-    );
-  }
-}
@@ -1,9 +0,0 @@
-import { NextRequest } from "next/server";
-import { handleComponentRoute } from "../shared/component-handler";
-
-export async function GET(request: NextRequest) {
-  const params = request.nextUrl.searchParams;
-  const directory =
-    params.get("componentsDir") || process.env.COMPONENTS_DIR || "components";
-  return handleComponentRoute(directory);
-}
@@ -1,97 +0,0 @@
-import { exec } from "child_process";
-import fs from "fs";
-import { NextRequest, NextResponse } from "next/server";
-import path from "path";
-import { promisify } from "util";
-
-const DEFAULT_WORKFLOW_FILE_PATH =
-  process.env.WORKFLOW_FILE_PATH || "src/app/workflow.ts";
-
-export async function GET(request: NextRequest) {
-  const filePath = DEFAULT_WORKFLOW_FILE_PATH;
-
-  const fileExists = await promisify(fs.exists)(DEFAULT_WORKFLOW_FILE_PATH);
-  if (!fileExists) {
-    return NextResponse.json(
-      {
-        detail: `Dev mode is currently in beta. It only supports updating workflow file at ${filePath}`,
-      },
-      { status: 404 },
-    );
-  }
-
-  const content = await promisify(fs.readFile)(filePath, "utf-8");
-  const last_modified = fs.statSync(filePath).mtime.getTime();
-
-  return NextResponse.json(
-    { content, file_path: filePath, last_modified },
-    { status: 200 },
-  );
-}
-
-export async function PUT(request: NextRequest) {
-  const filePath = DEFAULT_WORKFLOW_FILE_PATH;
-  const { content } = await request.json();
-
-  const fileExists = await promisify(fs.exists)(filePath);
-  if (!fileExists) {
-    return NextResponse.json(
-      {
-        detail: `Dev mode is currently in beta. It only supports updating workflow file at ${DEFAULT_WORKFLOW_FILE_PATH}`,
-      },
-      { status: 404 },
-    );
-  }
-
-  try {
-    const resolvedFilePath = path.resolve(DEFAULT_WORKFLOW_FILE_PATH);
-    const result = await validateTypeScriptFile(resolvedFilePath, content);
-
-    if (!result.isValid) {
-      return NextResponse.json(
-        {
-          detail: result.errors.join("\n"),
-        },
-        { status: 400 },
-      );
-    }
-
-    await promisify(fs.writeFile)(filePath, content);
-    return NextResponse.json({ content }, { status: 200 });
-  } catch (error) {
-    console.error("Error updating workflow file:", error);
-    return NextResponse.json(
-      { error: "Failed to update workflow file" },
-      { status: 500 },
-    );
-  }
-}
-
-// use typescript package to validate the file syntax and imports
-async function validateTypeScriptFile(filePath: string, content: string) {
-  // Update workflow file directly will cause the server restart immediately.
-  // So we create a temporary file with the same content in the same directory as the workflow file
-  // This file will be used to validate the file syntax and imports. It will be deleted after validation.
-  const tempFilePath = path.join(
-    path.dirname(filePath),
-    `workflow_${Date.now()}.ts`,
-  );
-  fs.writeFileSync(tempFilePath, content);
-
-  const errors = [];
-  try {
-    const tscCommand = `npx tsc ${tempFilePath} --noEmit --skipLibCheck true`;
-    await promisify(exec)(tscCommand);
-  } catch (error) {
-    const errorMessage = (error as { stdout: string })?.stdout;
-    errors.push(errorMessage);
-  } finally {
-    // Clean up temporary file
-    if (fs.existsSync(tempFilePath)) fs.unlinkSync(tempFilePath);
-  }
-
-  return {
-    isValid: errors.length === 0,
-    errors: errors,
-  };
-}
@@ -1,24 +0,0 @@
-import fs from "fs";
-import { NextRequest, NextResponse } from "next/server";
-import { promisify } from "util";
-
-export async function GET(
-  request: NextRequest,
-  { params }: { params: Promise<{ slug: string[] }> },
-) {
-  const filePath = (await params).slug.join("/");
-
-  if (!filePath.startsWith("output") && !filePath.startsWith("data")) {
-    return NextResponse.json({ error: "No permission" }, { status: 400 });
-  }
-
-  const decodedFilePath = decodeURIComponent(filePath);
-  const fileExists = await promisify(fs.exists)(decodedFilePath);
-
-  if (fileExists) {
-    const fileBuffer = await promisify(fs.readFile)(decodedFilePath);
-    return new NextResponse(fileBuffer);
-  } else {
-    return NextResponse.json({ error: "File not found" }, { status: 404 });
-  }
-}
@@ -1,10 +0,0 @@
-import { NextRequest } from "next/server";
-import { handleComponentRoute } from "../shared/component-handler";
-
-const LAYOUT_TYPES = ["header", "footer"] as const;
-
-export async function GET(request: NextRequest) {
-  const params = request.nextUrl.searchParams;
-  const directory = params.get("layoutDir") || "layout";
-  return handleComponentRoute(directory, LAYOUT_TYPES);
-}
@@ -1,80 +0,0 @@
-import fs from "fs";
-import { NextResponse } from "next/server";
-import path from "path";
-import { promisify } from "util";
-
-const VALID_EXTENSIONS = [".tsx", ".jsx"];
-
-export type Item = {
-  type: string;
-  filename: string;
-  code: string;
-};
-
-function filterDuplicateFiles(files: string[]): string[] {
-  const fileMap = new Map<string, string>();
-
-  for (const file of files) {
-    const type = path.basename(file, path.extname(file));
-
-    if (fileMap.has(type)) {
-      const existingFile = fileMap.get(type)!;
-      // Prefer .tsx files
-      if (file.endsWith(".tsx") && !existingFile.endsWith(".tsx")) {
-        console.warn(`Preferring ${file} over ${existingFile}`);
-        fileMap.set(type, file);
-      }
-    } else {
-      fileMap.set(type, file);
-    }
-  }
-  return Array.from(fileMap.values());
-}
-
-export async function handleComponentRoute(
-  directory: string,
-  itemTypes?: readonly string[],
-): Promise<NextResponse> {
-  try {
-    const exists = await promisify(fs.exists)(directory);
-    if (!exists) {
-      return NextResponse.json(
-        { error: `Directory not found at ${directory}` },
-        { status: 404 },
-      );
-    }
-
-    const filesInDir = await promisify(fs.readdir)(directory);
-    const validFiles = filesInDir.filter((file) =>
-      VALID_EXTENSIONS.includes(path.extname(file)),
-    );
-    let filesToProcess = filterDuplicateFiles(validFiles);
-
-    if (itemTypes?.length) {
-      // Specific item types provided (e.g., for layouts "header", "footer")
-      filesToProcess = filesToProcess.filter((file) =>
-        itemTypes.includes(path.basename(file, path.extname(file))),
-      );
-    }
-
-    const items: Item[] = await Promise.all(
-      filesToProcess.map(async (file) => {
-        const filePath = path.join(directory, file);
-        const content = await promisify(fs.readFile)(filePath, "utf-8");
-        return {
-          type: path.basename(file, path.extname(file)),
-          code: content,
-          filename: file,
-        };
-      }),
-    );
-
-    return NextResponse.json(items, { status: 200 });
-  } catch (error) {
-    console.error(`Error reading directory ${directory}:`, error);
-    return NextResponse.json(
-      { error: `Failed to read directory ${directory}` },
-      { status: 500 },
-    );
-  }
-}
@@ -60,12 +60,12 @@ function Calendar({
        ...classNames,
      }}
      components={{
-        Chevron: ({ ...props }) =>
-          props.orientation === "left" ? (
-            <ChevronLeft {...props} className="h-4 w-4" />
-          ) : (
-            <ChevronRight {...props} className="h-4 w-4" />
-          ),
+        IconLeft: ({ className, ...props }) => (
+          <ChevronLeft className={cn("size-4", className)} {...props} />
+        ),
+        IconRight: ({ className, ...props }) => (
+          <ChevronRight className={cn("size-4", className)} {...props} />
+        ),
      }}
      {...props}
    />
@@ -0,0 +1,55 @@
+"use client";
+
+import { Sparkles, Star } from "lucide-react";
+import { Button } from "../button";
+import { getConfig } from "../lib/utils";
+
+export function ChatHeader() {
+  return (
+    <div className="flex items-center justify-between px-4 pt-2">
+      <ChatAppTitle />
+      <LlamaIndexLinks />
+    </div>
+  );
+}
+
+function ChatAppTitle() {
+  return (
+    <div className="flex items-center gap-2">
+      <Sparkles className="size-4" />
+      <h1 className="font-semibold">{getConfig("APP_TITLE")}</h1>
+    </div>
+  );
+}
+
+function LlamaIndexLinks() {
+  return (
+    <div className="flex items-center justify-end gap-4">
+      <div className="flex items-center gap-2">
+        <a
+          href="https://www.llamaindex.ai/"
+          target="_blank"
+          rel="noopener noreferrer"
+          className="text-sm text-gray-600 hover:text-gray-800 dark:text-gray-400 dark:hover:text-gray-200"
+        >
+          Built by LlamaIndex
+        </a>
+        <img
+          className="h-[24px] w-[24px] rounded-sm"
+          src="/llama.png"
+          alt="Llama Logo"
+        />
+      </div>
+      <a
+        href="https://github.com/run-llama/LlamaIndexTS"
+        target="_blank"
+        rel="noopener noreferrer"
+      >
+        <Button variant="outline" size="sm">
+          <Star className="mr-2 size-4" />
+          Star on GitHub
+        </Button>
+      </a>
+    </div>
+  );
+}
@@ -8,11 +8,7 @@ import { LlamaCloudSelector } from "./custom/llama-cloud-selector";
 export default function CustomChatInput() {
  const { requestData, isLoading, input } = useChatUI();
  const uploadAPI = getConfig("UPLOAD_API") ?? "";
-  const llamaCloudAPI =
-    getConfig("LLAMA_CLOUD_API") ??
-    (process.env.NEXT_PUBLIC_SHOW_LLAMACLOUD_SELECTOR === "true"
-      ? "/api/chat/config/llamacloud"
-      : "");
+  const llamaCloudAPI = getConfig("LLAMA_CLOUD_API") ?? "";
  const {
    imageUrl,
    setImageUrl,
@@ -6,6 +6,7 @@ import { useEffect, useMemo, useState } from "react";
 import { getConfig } from "../lib/utils";
 import { ResizablePanel, ResizablePanelGroup } from "../resizable";
 import { ChatCanvasPanel } from "./canvas/panel";
+import { ChatHeader } from "./chat-header";
 import { ChatInjection } from "./chat-injection";
 import CustomChatInput from "./chat-input";
 import CustomChatMessages from "./chat-messages";
@@ -13,11 +14,10 @@ import { DynamicEventsErrors } from "./custom/events/dynamic-events-errors";
 import { fetchComponentDefinitions } from "./custom/events/loader";
 import { ComponentDef } from "./custom/events/types";
 import { DevModePanel } from "./dev-mode-panel";
-import { ChatLayout } from "./layout";

 export default function ChatSection() {
  const handler = useChat({
-    api: getConfig("CHAT_API") || "/api/chat",
+    api: getConfig("CHAT_API"),
    onError: (error: unknown) => {
      if (!(error instanceof Error)) throw error;
      let errorMessage: string;
@@ -32,7 +32,8 @@ export default function ChatSection() {
  });
  return (
    <>
-      <ChatLayout>
+      <div className="flex h-screen w-screen flex-col overflow-hidden">
+        <ChatHeader />
        <ChatUI
          handler={handler}
          className="relative flex min-h-0 flex-1 flex-row justify-center gap-4 px-4 py-0"
@@ -43,7 +44,7 @@ export default function ChatSection() {
          </ResizablePanelGroup>
          <DevModePanel />
        </ChatUI>
-      </ChatLayout>
+      </div>
      <ChatInjection />
    </>
  );
@@ -6,9 +6,7 @@ import { getConfig } from "../lib/utils";

 export function ChatStarter({ className }: { className?: string }) {
  const { append, messages, requestData } = useChatUI();
-  const starterQuestions =
-    getConfig("STARTER_QUESTIONS") ??
-    JSON.parse(process.env.NEXT_PUBLIC_STARTER_QUESTIONS || "[]");
+  const starterQuestions = getConfig("STARTER_QUESTIONS") ?? [];

  if (starterQuestions.length === 0 || messages.length > 0) return null;
  return (
@@ -17,11 +17,7 @@ export async function fetchComponentDefinitions(): Promise<{
  components: ComponentDef[];
  errors: string[];
 }> {
-  const endpoint =
-    getConfig("COMPONENTS_API") ??
-    (process.env.NEXT_PUBLIC_USE_COMPONENTS_DIR === "true"
-      ? "/api/components"
-      : undefined);
+  const endpoint = getConfig("COMPONENTS_API");
  if (!endpoint) {
    console.warn("/api/components endpoint is not defined in config");
    return { components: [], errors: [] };
@@ -65,14 +65,8 @@ export function LlamaCloudSelector({
  );

  useEffect(() => {
-    const llamaCloudAPI =
-      getConfig("LLAMA_CLOUD_API") ??
-      (process.env.NEXT_PUBLIC_SHOW_LLAMACLOUD_SELECTOR === "true"
-        ? "/api/chat/config/llamacloud"
-        : "");
-
-    if (!config && llamaCloudAPI) {
-      fetch(llamaCloudAPI)
+    if (!config && getConfig("LLAMA_CLOUD_API")) {
+      fetch(getConfig("LLAMA_CLOUD_API"))
        .then((response) => {
          if (!response.ok) {
            return response.json().then((errorData) => {
@@ -5,7 +5,7 @@ import {
  fileExtensionToEditorLang,
 } from "@llamaindex/chat-ui/widgets";
 import { AlertCircle, Loader2 } from "lucide-react";
-import { useEffect, useMemo, useState } from "react";
+import { useEffect, useState } from "react";
 import { Button } from "../button";
 import { getConfig } from "../lib/utils";

@@ -19,8 +19,7 @@ type WorkflowFile = {
 };

 export function DevModePanel() {
-  const devModeEnabled =
-    getConfig("DEV_MODE") ?? process.env.NEXT_PUBLIC_DEV_MODE === "true";
+  const devModeEnabled = getConfig("DEV_MODE");
  if (!devModeEnabled) return null;
  return <DevModePanelComp />;
 }
@@ -145,12 +144,9 @@ function DevModePanelComp() {
    }
  }, [devModeOpen]);

-  const codeEditorLanguage = useMemo(() => {
-    if (!workflowFile?.file_path) return undefined;
-    return fileExtensionToEditorLang(
-      workflowFile.file_path.split(".").pop() ?? "",
-    );
-  }, [workflowFile]);
+  const codeEditorLanguage = fileExtensionToEditorLang(
+    workflowFile?.file_path.split(".").pop() ?? "",
+  );

  return (
    <>
@@ -1,40 +0,0 @@
-"use client";
-
-import { Sparkles, Star } from "lucide-react";
-
-export function DefaultHeader() {
-  return (
-    <div className="flex items-center justify-between px-4 pt-2">
-      <div className="flex items-center gap-2">
-        <Sparkles className="size-4" />
-        <h1 className="font-semibold">LlamaIndex App</h1>
-      </div>
-      <div className="flex items-center justify-end gap-4">
-        <div className="flex items-center gap-2">
-          <a
-            href="https://www.llamaindex.ai/"
-            target="_blank"
-            rel="noopener noreferrer"
-            className="text-sm text-gray-600 hover:text-gray-800 dark:text-gray-400 dark:hover:text-gray-200"
-          >
-            Built by LlamaIndex
-          </a>
-          <img
-            className="h-[24px] w-[24px] rounded-sm"
-            src="/llama.png"
-            alt="Llama Logo"
-          />
-        </div>
-        <a
-          href="https://github.com/run-llama/LlamaIndexTS"
-          target="_blank"
-          rel="noopener noreferrer"
-          className="hover:bg-accent flex items-center gap-2 rounded-md border border-gray-300 px-2 py-1 text-sm"
-        >
-          <Star className="size-4" />
-          Star on GitHub
-        </a>
-      </div>
-    </div>
-  );
-}
@@ -1,135 +0,0 @@
-"use client";
-
-import { Loader2 } from "lucide-react";
-import React, { FunctionComponent, useEffect, useState } from "react";
-import { getConfig } from "../../lib/utils";
-import { DynamicComponentErrorBoundary } from "../custom/events/error-boundary";
-import { parseComponent } from "../custom/events/loader";
-import { DefaultHeader } from "./header";
-
-type LayoutFile = {
-  type: "header" | "footer";
-  code: string;
-  filename: string;
-};
-
-type LayoutComponent = LayoutFile & {
-  component?: FunctionComponent | null;
-  error?: string;
-};
-
-export function ChatLayout({ children }: { children: React.ReactNode }) {
-  const [layoutComponents, setLayoutComponents] = useState<LayoutComponent[]>(
-    [],
-  );
-  const [isRendering, setIsRendering] = useState(false);
-  const [errors, setErrors] = useState<string[]>([]);
-
-  useEffect(() => {
-    const loadLayout = async () => {
-      setIsRendering(true);
-      const layoutFiles = await fetchLayoutFiles();
-      if (layoutFiles.length) {
-        const layoutComponents = await parseLayoutComponents(layoutFiles);
-        setLayoutComponents(layoutComponents);
-        setErrors((errors) => [
-          ...errors,
-          ...(layoutComponents.map((c) => c.error).filter(Boolean) as string[]),
-        ]);
-      }
-      setIsRendering(false);
-    };
-
-    loadLayout();
-  }, []);
-
-  const handleError = (error: string) => {
-    setErrors((prev) => [...prev, error]);
-  };
-
-  const getLayoutCode = (type: "header" | "footer") => {
-    return layoutComponents.find((c) => c.type === type)?.component;
-  };
-
-  if (isRendering) {
-    return (
-      <div className="flex h-screen w-screen flex-col items-center justify-center overflow-hidden">
-        <Loader2 className="text-muted-foreground animate-spin" />
-      </div>
-    );
-  }
-
-  const uniqueErrors = [...new Set(errors)];
-
-  return (
-    <div className="flex h-screen w-screen flex-col overflow-hidden">
-      {uniqueErrors.length > 0 && (
-        <div className="w-full bg-yellow-100 px-4 py-2 text-black/70">
-          <h2 className="mb-2 font-semibold">
-            Errors happened while rendering the layout:
-          </h2>
-          {uniqueErrors.map((error) => (
-            <div key={error} className="text-sm">
-              {error}
-            </div>
-          ))}
-        </div>
-      )}
-
-      <LayoutRenderer
-        component={getLayoutCode("header")}
-        onError={handleError}
-        fallback={<DefaultHeader />}
-      />
-
-      {children}
-
-      <LayoutRenderer
-        component={getLayoutCode("footer")}
-        onError={handleError}
-      />
-    </div>
-  );
-}
-
-function LayoutRenderer({
-  component,
-  onError,
-  fallback,
-}: {
-  component?: FunctionComponent | null;
-  onError: (error: string) => void;
-  fallback?: React.ReactNode;
-}) {
-  if (!component) return fallback;
-  return (
-    <DynamicComponentErrorBoundary onError={onError} fallback={fallback}>
-      {React.createElement(component)}
-    </DynamicComponentErrorBoundary>
-  );
-}
-
-async function parseLayoutComponents(layoutFiles: LayoutFile[]) {
-  const layoutComponents: LayoutComponent[] = await Promise.all(
-    layoutFiles.map(async (layoutFile) => {
-      const result = await parseComponent(layoutFile.code, layoutFile.filename);
-      return { ...layoutFile, ...result };
-    }),
-  );
-  return layoutComponents;
-}
-
-async function fetchLayoutFiles(): Promise<LayoutFile[]> {
-  try {
-    const layoutApi = getConfig("LAYOUT_API");
-    if (!layoutApi) return [];
-    const response = await fetch(layoutApi);
-    const layoutFiles: LayoutFile[] = await response.json();
-    return layoutFiles;
-  } catch (error) {
-    const errorMessage =
-      error instanceof Error ? error.message : "Unknown error";
-    console.warn("Error fetching layout files: ", errorMessage);
-    return [];
-  }
-}
@@ -1,5 +1,6 @@
 window.LLAMAINDEX = {
  CHAT_API: "/api/chat",
+  APP_TITLE: "Deep Research App",
  LLAMA_CLOUD_API: undefined,
  STARTER_QUESTIONS: [
    "Research about Apple and Tesla revenue",
@@ -20,7 +20,7 @@
    "paths": {
      "@/*": ["./*"]
    },
-    "target": "ES2022"
+    "target": "ES2017"
  },
  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
  "exclude": ["node_modules"]
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/server",
  "description": "LlamaIndex Server",
-  "version": "0.2.4",
+  "version": "0.2.0",
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
@@ -19,39 +19,29 @@
  },
  "files": [
    "dist",
-    "server",
-    "project",
-    "bin"
+    "server"
  ],
-  "bin": {
-    "llamaindex-server": "./bin/eject.cjs"
-  },
  "repository": {
    "type": "git",
    "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
    "directory": "packages/server"
  },
  "scripts": {
-    "dev": "bunchee --watch",
-    "clean": "rm -rf ./dist ./server ./project next/.next next/out ./temp",
+    "clean": "rm -rf ./dist ./server next/.next next/out",
    "prebuild": "pnpm clean",
    "build": "bunchee",
-    "postbuild": "pnpm prepare:nextjs && pnpm prepare:ts-server && pnpm prepare:py-static",
-    "prepare:nextjs": "cp -r ./next ./project && cp -r ./src/utils ./project/app/api/chat && cp -r ./project-config/* ./project/",
-    "prepare:ts-server": "pnpm copy:next-src && pnpm build:css && pnpm build:api",
-    "prepare:py-static": "pnpm prepare:static && pnpm build:static && pnpm copy:static",
-    "copy:next-src": "cp -r ./next ./server",
-    "build:css": "postcss server/app/globals.css -o server/app/globals.css && rm -rf ./server/postcss.config.js",
-    "build:api": "rm -rf ./server/app/api && tsc --skipLibCheck --project tsconfig.api.json",
-    "prepare:static": "cp -r ./next ./temp && rm -rf ./temp/app/api && mv ./temp/next-build.config.ts ./temp/next.config.ts",
-    "build:static": "cd ./temp && next build",
-    "copy:static": "cp -r ./temp/out ./dist/static && rm -rf ./temp"
+    "postbuild": "pnpm copy:next-src && pnpm build:static && pnpm copy:static",
+    "copy:next-src": "cp -r ./next ./server && pnpm build:css && rm -rf ./server/postcss.config.js",
+    "build:css": "postcss server/app/globals.css -o server/app/globals.css",
+    "build:static": "cd ./next && next build",
+    "copy:static": "cp -r ./next/out ./dist/static",
+    "dev": "bunchee --watch"
  },
  "devDependencies": {
    "@tailwindcss/postcss": "^4",
    "@types/babel__standalone": "^7.1.9",
    "@types/babel__traverse": "^7.20.7",
-    "llamaindex": "~0.11.0",
+    "llamaindex": "0.10.2",
    "postcss": "^8.5.3",
    "postcss-cli": "^11.0.1",
    "tailwindcss": "^4",
@@ -65,7 +55,7 @@
    "@babel/traverse": "^7.27.0",
    "@babel/types": "^7.27.0",
    "@hookform/resolvers": "^5.0.1",
-    "@llamaindex/chat-ui": "0.4.6",
+    "@llamaindex/chat-ui": "0.4.4",
    "@radix-ui/react-accordion": "^1.2.3",
    "@radix-ui/react-alert-dialog": "^1.1.7",
    "@radix-ui/react-aspect-ratio": "^1.1.3",
@@ -103,7 +93,7 @@
    "next": "^15.3.0",
    "next-themes": "^0.4.3",
    "react": "^19.1.0",
-    "react-day-picker": "9.7.0",
+    "react-day-picker": "8.10.1",
    "react-dom": "^19.1.0",
    "react-hook-form": "^7.55.0",
    "react-resizable-panels": "^2.1.7",
@@ -113,9 +103,9 @@
    "vaul": "^1.1.2"
  },
  "peerDependencies": {
-    "@llamaindex/env": "~0.1.30",
-    "@llamaindex/workflow": "~1.1.3",
-    "llamaindex": "~0.11.0",
+    "@llamaindex/env": "^0.1.29",
+    "@llamaindex/workflow": "^1.1.0",
+    "llamaindex": "^0.10.2",
    "zod": "^3.24.2",
    "zod-to-json-schema": "^3.23.3"
  },
@@ -1,34 +0,0 @@
-import { FlatCompat } from "@eslint/eslintrc";
-import { dirname } from "path";
-import { fileURLToPath } from "url";
-
-const __filename = fileURLToPath(import.meta.url);
-const __dirname = dirname(__filename);
-
-const compat = new FlatCompat({
-  baseDirectory: __dirname,
-});
-
-const eslintConfig = [
-  ...compat.extends("next/core-web-vitals", "next/typescript", "prettier"),
-  {
-    rules: {
-      "@typescript-eslint/no-explicit-any": "off",
-      "@typescript-eslint/no-unused-vars": "off",
-      "react-hooks/exhaustive-deps": "off",
-      "@next/next/no-img-element": "off",
-      "@next/next/no-assign-module-variable": "off",
-    },
-  },
-  {
-    ignores: [
-      "**/.next/**",
-      "**/node_modules/**",
-      "prettier.config.mjs",
-      "eslint.config.mjs",
-      "postcss.config.js",
-    ],
-  },
-];
-
-export default eslintConfig;
@@ -1,100 +0,0 @@
-{
-  "name": "nextjs-project",
-  "description": "Next.js project with full feature set of @llamaindex/server",
-  "private": true,
-  "version": "0.0.1",
-  "type": "module",
-  "scripts": {
-    "dev": "next dev",
-    "build": "next build",
-    "start": "next start",
-    "lint": "next lint",
-    "format": "prettier --ignore-unknown --cache --check .",
-    "format:write": "prettier --ignore-unknown --write .",
-    "typecheck": "tsc --noEmit",
-    "generate": "tsx app\\api\\chat\\generate.ts"
-  },
-  "devDependencies": {
-    "@eslint/eslintrc": "^3",
-    "@next/eslint-plugin-next": "^15.3.2",
-    "@tailwindcss/postcss": "^4",
-    "@types/babel__standalone": "^7.1.9",
-    "@types/babel__traverse": "^7.20.7",
-    "@types/node": "^20",
-    "@types/react": "^19",
-    "@types/react-dom": "^19",
-    "eslint": "^9",
-    "eslint-config-next": "^15.1.3",
-    "eslint-config-prettier": "^9.1.0",
-    "eslint-plugin-react-hooks": "^5.2.0",
-    "prettier": "^3.2.5",
-    "prettier-plugin-organize-imports": "^4.1.0",
-    "prettier-plugin-tailwindcss": "^0.6.11",
-    "tailwindcss": "^4",
-    "tsx": "^4.19.3",
-    "tw-animate-css": "1.2.5",
-    "typescript": "^5"
-  },
-  "dependencies": {
-    "@babel/parser": "^7.27.0",
-    "@babel/standalone": "^7.27.0",
-    "@babel/traverse": "^7.27.0",
-    "@babel/types": "^7.27.0",
-    "@hookform/resolvers": "^5.0.1",
-    "@llamaindex/chat-ui": "0.4.5",
-    "@llamaindex/env": "~0.1.30",
-    "@llamaindex/openai": "~0.4.0",
-    "@llamaindex/readers": "~3.1.4",
-    "@llamaindex/tools": "~0.0.11",
-    "@llamaindex/workflow": "~1.1.3",
-    "@radix-ui/react-accordion": "^1.2.3",
-    "@radix-ui/react-alert-dialog": "^1.1.7",
-    "@radix-ui/react-aspect-ratio": "^1.1.3",
-    "@radix-ui/react-avatar": "^1.1.4",
-    "@radix-ui/react-checkbox": "^1.1.5",
-    "@radix-ui/react-collapsible": "^1.1.3",
-    "@radix-ui/react-context-menu": "^2.2.7",
-    "@radix-ui/react-dialog": "^1.1.2",
-    "@radix-ui/react-dropdown-menu": "^2.1.7",
-    "@radix-ui/react-hover-card": "^1.1.7",
-    "@radix-ui/react-label": "^2.1.0",
-    "@radix-ui/react-menubar": "^1.1.7",
-    "@radix-ui/react-navigation-menu": "^1.2.6",
-    "@radix-ui/react-popover": "^1.1.7",
-    "@radix-ui/react-progress": "^1.1.3",
-    "@radix-ui/react-radio-group": "^1.2.4",
-    "@radix-ui/react-scroll-area": "^1.2.4",
-    "@radix-ui/react-select": "^2.1.6",
-    "@radix-ui/react-separator": "^1.1.3",
-    "@radix-ui/react-slider": "^1.2.1",
-    "@radix-ui/react-slot": "^1.1.2",
-    "@radix-ui/react-switch": "^1.1.4",
-    "@radix-ui/react-tabs": "^1.1.3",
-    "@radix-ui/react-toggle": "^1.1.3",
-    "@radix-ui/react-toggle-group": "^1.1.3",
-    "@radix-ui/react-tooltip": "^1.1.4",
-    "ai": "^4.2.0",
-    "class-variance-authority": "^0.7.1",
-    "clsx": "^2.1.1",
-    "cmdk": "^1.1.1",
-    "date-fns": "^4.1.0",
-    "dotenv": "^16.5.0",
-    "embla-carousel-react": "^8.6.0",
-    "input-otp": "^1.4.2",
-    "llamaindex": "~0.11.0",
-    "lucide-react": "^0.460.0",
-    "next": "^15.3.0",
-    "next-themes": "^0.4.3",
-    "react": "^19.1.0",
-    "react-day-picker": "9.7.0",
-    "react-dom": "^19.1.0",
-    "react-hook-form": "^7.55.0",
-    "react-resizable-panels": "^2.1.7",
-    "recharts": "^2.15.2",
-    "sonner": "^2.0.3",
-    "tailwind-merge": "^2.6.0",
-    "vaul": "^1.1.2",
-    "zod": "^3.23.8",
-    "zod-to-json-schema": "^3.23.3"
-  }
-}
@@ -1,3 +0,0 @@
-export default {
-  plugins: ["prettier-plugin-organize-imports", "prettier-plugin-tailwindcss"],
-};
@@ -155,12 +155,10 @@ export function extractAllArtifacts(messages: Message[]): Artifact[] {
    const artifacts =
      message.annotations
        ?.filter(
-          (
-            annotation,
-          ): annotation is z.infer<typeof artifactAnnotationSchema> =>
+          (annotation) =>
            artifactAnnotationSchema.safeParse(annotation).success,
        )
-        .map((annotation) => annotation.data as Artifact) ?? [];
+        .map((artifact) => artifact as Artifact) ?? [];

    allArtifacts.push(...artifacts);
  }
@@ -16,7 +16,6 @@ export const handleChat = async (
  req: IncomingMessage,
  res: ServerResponse,
  workflowFactory: WorkflowFactory,
-  suggestNextQuestions: boolean,
 ) => {
  try {
    const body = await parseRequestBody(req);
@@ -54,9 +53,7 @@ export const handleChat = async (
            role: "assistant" as MessageType,
            content: completion,
          });
-          if (suggestNextQuestions) {
-            await sendSuggestedQuestionsEvent(dataStreamWriter, chatHistory);
-          }
+          await sendSuggestedQuestionsEvent(dataStreamWriter, chatHistory);
        },
      },
    });
@@ -0,0 +1,30 @@
+import { getEnv } from "@llamaindex/env";
+import type { IncomingMessage, ServerResponse } from "http";
+import { LLamaCloudFileService } from "llamaindex";
+import { sendJSONResponse } from "../utils/request";
+
+export const getLlamaCloudConfig = async (
+  req: IncomingMessage,
+  res: ServerResponse,
+) => {
+  if (!getEnv("LLAMA_CLOUD_API_KEY")) {
+    return sendJSONResponse(res, 500, {
+      error: "env variable LLAMA_CLOUD_API_KEY is required to use LlamaCloud",
+    });
+  }
+
+  try {
+    const config = {
+      projects: await LLamaCloudFileService.getAllProjectsWithPipelines(),
+      pipeline: {
+        pipeline: getEnv("LLAMA_CLOUD_INDEX_NAME"),
+        project: getEnv("LLAMA_CLOUD_PROJECT_NAME"),
+      },
+    };
+    return sendJSONResponse(res, 200, config);
+  } catch (error) {
+    return sendJSONResponse(res, 500, {
+      error: "Failed to fetch LlamaCloud configuration",
+    });
+  }
+};
@@ -0,0 +1,69 @@
+import fs from "fs";
+import type { IncomingMessage, ServerResponse } from "http";
+import path from "path";
+import { promisify } from "util";
+import { sendJSONResponse } from "../utils/request";
+
+export const getComponents = async (
+  req: IncomingMessage,
+  res: ServerResponse,
+  componentsDir: string,
+) => {
+  try {
+    const exists = await promisify(fs.exists)(componentsDir);
+    if (!exists) {
+      return sendJSONResponse(res, 404, {
+        error: "Components directory not found",
+      });
+    }
+
+    const files = await promisify(fs.readdir)(componentsDir);
+
+    // filter files with valid extensions
+    const validExtensions = [".tsx", ".jsx"];
+    const filteredFiles = files.filter((file) =>
+      validExtensions.includes(path.extname(file)),
+    );
+
+    // filter duplicate components
+    const uniqueFiles = filterDuplicateComponents(filteredFiles);
+
+    const components = await Promise.all(
+      uniqueFiles.map(async (file) => {
+        const filePath = path.join(componentsDir, file);
+        const content = await promisify(fs.readFile)(filePath, "utf-8");
+        return {
+          type: path.basename(file, path.extname(file)),
+          code: content,
+          filename: file,
+        };
+      }),
+    );
+
+    sendJSONResponse(res, 200, components);
+  } catch (error) {
+    console.error("Error reading components:", error);
+    sendJSONResponse(res, 500, { error: "Failed to read components" });
+  }
+};
+
+function filterDuplicateComponents(files: string[]) {
+  const compMap = new Map<string, string>();
+
+  for (const file of files) {
+    const type = path.basename(file, path.extname(file));
+
+    if (compMap.has(type)) {
+      const existingComp = compMap.get(type)!;
+      if (file.endsWith(".tsx") && !existingComp.endsWith(".tsx")) {
+        // prefer .tsx files over others
+        console.warn(`Preferring ${file} over ${existingComp}`);
+        compMap.set(type, file);
+      }
+    } else {
+      compMap.set(type, file);
+    }
+  }
+
+  return Array.from(compMap.values());
+}
@@ -0,0 +1,106 @@
+import { exec } from "child_process";
+import fs from "fs";
+import type { IncomingMessage, ServerResponse } from "http";
+import path from "path";
+import { promisify } from "util";
+import { parseRequestBody, sendJSONResponse } from "../utils/request";
+
+export const handleServeFiles = async (
+  req: IncomingMessage,
+  res: ServerResponse,
+  pathname: string,
+) => {
+  const filePath = pathname.substring("/api/files/".length);
+  if (!filePath.startsWith("output") && !filePath.startsWith("data")) {
+    return sendJSONResponse(res, 400, { error: "No permission" });
+  }
+  const decodedFilePath = decodeURIComponent(filePath);
+  const fileExists = await promisify(fs.exists)(decodedFilePath);
+  if (fileExists) {
+    const fileStream = fs.createReadStream(decodedFilePath);
+    fileStream.pipe(res);
+  } else {
+    return sendJSONResponse(res, 404, { error: "File not found" });
+  }
+};
+
+const DEFAULT_WORKFLOW_FILE_PATH = "src/app/workflow.ts"; // TODO: we can make it as a parameter in server later
+
+export const getWorkflowFile = async (
+  req: IncomingMessage,
+  res: ServerResponse,
+  filePath: string = DEFAULT_WORKFLOW_FILE_PATH,
+) => {
+  const fileExists = await promisify(fs.exists)(filePath);
+  if (!fileExists) {
+    return sendJSONResponse(res, 404, {
+      detail: `Dev mode is currently in beta. It only supports updating workflow file at ${DEFAULT_WORKFLOW_FILE_PATH}`,
+    });
+  }
+
+  const content = await promisify(fs.readFile)(filePath, "utf-8");
+  const last_modified = fs.statSync(filePath).mtime.getTime();
+  sendJSONResponse(res, 200, { content, file_path: filePath, last_modified });
+};
+
+export const updateWorkflowFile = async (
+  req: IncomingMessage,
+  res: ServerResponse,
+  filePath: string = DEFAULT_WORKFLOW_FILE_PATH,
+) => {
+  const body = await parseRequestBody(req);
+  const { content } = body as { content: string };
+
+  const fileExists = await promisify(fs.exists)(filePath);
+  if (!fileExists) {
+    return sendJSONResponse(res, 404, {
+      detail: `Dev mode is currently in beta. It only supports updating workflow file at ${DEFAULT_WORKFLOW_FILE_PATH}`,
+    });
+  }
+
+  try {
+    const resolvedFilePath = path.resolve(DEFAULT_WORKFLOW_FILE_PATH);
+    const result = await validateTypeScriptFile(resolvedFilePath, content);
+
+    if (!result.isValid) {
+      return sendJSONResponse(res, 400, {
+        detail: result.errors.join("\n"),
+      });
+    }
+
+    await promisify(fs.writeFile)(filePath, content);
+    sendJSONResponse(res, 200, { content });
+  } catch (error) {
+    console.error("Error updating workflow file:", error);
+    sendJSONResponse(res, 500, { error: "Failed to update workflow file" });
+  }
+};
+
+// use typescript package to validate the file syntax and imports
+async function validateTypeScriptFile(filePath: string, content: string) {
+  // Update workflow file directly will cause the server restart immediately.
+  // So we create a temporary file with the same content in the same directory as the workflow file
+  // This file will be used to validate the file syntax and imports. It will be deleted after validation.
+  const tempFilePath = path.join(
+    path.dirname(filePath),
+    `workflow_${Date.now()}.ts`,
+  );
+  fs.writeFileSync(tempFilePath, content);
+
+  const errors = [];
+  try {
+    const tscCommand = `npx tsc ${tempFilePath} --noEmit --skipLibCheck true`;
+    await promisify(exec)(tscCommand);
+  } catch (error) {
+    const errorMessage = (error as { stdout: string })?.stdout;
+    errors.push(errorMessage);
+  } finally {
+    // Clean up temporary file
+    if (fs.existsSync(tempFilePath)) fs.unlinkSync(tempFilePath);
+  }
+
+  return {
+    isValid: errors.length === 0,
+    errors: errors,
+  };
+}
@@ -1,5 +1,4 @@
+export * from "./events";
 export * from "./server";
 export * from "./types";
-export * from "./utils/events";
 export { generateEventComponent } from "./utils/gen-ui";
-export * from "./utils/prompts";
@@ -7,6 +7,13 @@ import path from "path";
 import { parse } from "url";
 import { promisify } from "util";
 import { handleChat } from "./handlers/chat";
+import { getLlamaCloudConfig } from "./handlers/cloud";
+import { getComponents } from "./handlers/components";
+import {
+  getWorkflowFile,
+  handleServeFiles,
+  updateWorkflowFile,
+} from "./handlers/files";
 import type { LlamaIndexServerOptions } from "./types";

 const nextDir = path.join(__dirname, "..", "server");
@@ -18,17 +25,13 @@ export class LlamaIndexServer {
  app: ReturnType<typeof next>;
  workflowFactory: () => Promise<Workflow> | Workflow;
  componentsDir?: string | undefined;
-  layoutDir: string;
-  suggestNextQuestions: boolean;

  constructor(options: LlamaIndexServerOptions) {
-    const { workflow, suggestNextQuestions, ...nextAppOptions } = options;
+    const { workflow, ...nextAppOptions } = options;
    this.app = next({ dev, dir: nextDir, ...nextAppOptions });
    this.port = nextAppOptions.port ?? parseInt(process.env.PORT || "3000", 10);
    this.workflowFactory = workflow;
    this.componentsDir = options.uiConfig?.componentsDir;
-    this.layoutDir = options.uiConfig?.layoutDir ?? "layout";
-    this.suggestNextQuestions = suggestNextQuestions ?? true;

    if (this.componentsDir) {
      this.createComponentsDir(this.componentsDir);
@@ -39,25 +42,24 @@ export class LlamaIndexServer {

  private modifyConfig(options: LlamaIndexServerOptions) {
    const { uiConfig } = options;
+    const appTitle = uiConfig?.appTitle ?? "LlamaIndex App";
    const starterQuestions = uiConfig?.starterQuestions ?? [];
    const llamaCloudApi =
      uiConfig?.llamaCloudIndexSelector && getEnv("LLAMA_CLOUD_API_KEY")
        ? "/api/chat/config/llamacloud"
        : undefined;
    const componentsApi = this.componentsDir ? "/api/components" : undefined;
-    const layoutApi = this.layoutDir ? "/api/layout" : undefined;
    const devMode = uiConfig?.devMode ?? false;

    // content in javascript format
    const content = `
      window.LLAMAINDEX = {
        CHAT_API: '/api/chat',
+        APP_TITLE: ${JSON.stringify(appTitle)},
        LLAMA_CLOUD_API: ${JSON.stringify(llamaCloudApi)},
        STARTER_QUESTIONS: ${JSON.stringify(starterQuestions)},
        COMPONENTS_API: ${JSON.stringify(componentsApi)},
-        LAYOUT_API: ${JSON.stringify(layoutApi)},
-        DEV_MODE: ${JSON.stringify(devMode)},
-        SUGGEST_NEXT_QUESTIONS: ${JSON.stringify(this.suggestNextQuestions)}
+        DEV_MODE: ${JSON.stringify(devMode)}
      }
    `;
    fs.writeFileSync(configFile, content);
@@ -76,18 +78,13 @@ export class LlamaIndexServer {
    const server = createServer((req, res) => {
      const parsedUrl = parse(req.url!, true);
      const pathname = parsedUrl.pathname;
-      const query = parsedUrl.query;

      if (pathname === "/api/chat" && req.method === "POST") {
-        // because of https://github.com/vercel/next.js/discussions/79402 we can't use route.ts here, so we need to call this custom route
-        // when calling `pnpm eject`, the user will get an equivalent route at [path to chat route.ts]
-        // make sure to keep its semantic in sync with handleChat
-        return handleChat(
-          req,
-          res,
-          this.workflowFactory,
-          this.suggestNextQuestions,
-        );
+        return handleChat(req, res, this.workflowFactory);
+      }
+
+      if (pathname?.startsWith("/api/files") && req.method === "GET") {
+        return handleServeFiles(req, res, pathname);
      }

      if (
@@ -95,15 +92,27 @@ export class LlamaIndexServer {
        pathname === "/api/components" &&
        req.method === "GET"
      ) {
-        query.componentsDir = this.componentsDir;
+        return getComponents(req, res, this.componentsDir);
      }

-      if (pathname === "/api/layout" && req.method === "GET") {
-        query.layoutDir = this.layoutDir;
+      if (
+        getEnv("LLAMA_CLOUD_API_KEY") &&
+        pathname === "/api/chat/config/llamacloud" &&
+        req.method === "GET"
+      ) {
+        return getLlamaCloudConfig(req, res);
+      }
+
+      if (pathname === "/api/dev/files/workflow" && req.method === "GET") {
+        return getWorkflowFile(req, res);
+      }
+
+      if (pathname === "/api/dev/files/workflow" && req.method === "PUT") {
+        return updateWorkflowFile(req, res);
      }

      const handle = this.app.getRequestHandler();
-      handle(req, res, { ...parsedUrl, query });
+      handle(req, res, parsedUrl);
    });

    server.listen(this.port, () => {
@@ -13,9 +13,9 @@ export type WorkflowFactory = (
 export type NextAppOptions = Parameters<typeof next>[0];

 export type UIConfig = {
+  appTitle?: string;
  starterQuestions?: string[];
  componentsDir?: string;
-  layoutDir?: string;
  llamaCloudIndexSelector?: boolean;
  devMode?: boolean;
 };
@@ -23,5 +23,4 @@ export type UIConfig = {
 export type LlamaIndexServerOptions = NextAppOptions & {
  workflow: WorkflowFactory;
  uiConfig?: UIConfig;
-  suggestNextQuestions?: boolean;
 };
@@ -1,8 +0,0 @@
-export * from "./events";
-export * from "./file";
-export * from "./gen-ui";
-export * from "./prompts";
-export * from "./request";
-export * from "./stream";
-export * from "./suggestion";
-export * from "./workflow";
@@ -1,14 +0,0 @@
-export const NEXT_QUESTION_PROMPT = `You're a helpful assistant! 
-Your task is to suggest the next question that user might ask. 
-Here is the conversation history
---------------------
-{conversation}
---------------------
-Given the conversation history, please give me 3 questions that user might ask next!
-Your answer should be wrapped in three sticks which follows the following format:
-\`\`\`
-<question 1>
-<question 2>
-<question 3>
-\`\`\`
-`;
@@ -1,7 +1,19 @@
-import { getEnv } from "@llamaindex/env";
 import type { DataStreamWriter } from "ai";
 import { type ChatMessage, Settings } from "llamaindex";
-import { NEXT_QUESTION_PROMPT } from "./prompts";
+
+const NEXT_QUESTION_PROMPT = `You're a helpful assistant! Your task is to suggest the next question that user might ask. 
+Here is the conversation history
+---------------------
+{conversation}
+---------------------
+Given the conversation history, please give me 3 questions that user might ask next!
+Your answer should be wrapped in three sticks which follows the following format:
+\`\`\`
+<question 1>
+<question 2>
+<question 3>
+\`\`\`
+`;

 export const sendSuggestedQuestionsEvent = async (
  streamWriter: DataStreamWriter,
@@ -20,8 +32,10 @@ export async function generateNextQuestions(conversation: ChatMessage[]) {
  const conversationText = conversation
    .map((message) => `${message.role}: ${message.content}`)
    .join("\n");
-  const promptTemplate = getEnv("NEXT_QUESTION_PROMPT") || NEXT_QUESTION_PROMPT;
-  const message = promptTemplate.replace("{conversation}", conversationText);
+  const message = NEXT_QUESTION_PROMPT.replace(
+    "{conversation}",
+    conversationText,
+  );

  try {
    const response = await Settings.llm.complete({ prompt: message });
@@ -19,7 +19,7 @@ import {
  toAgentRunEvent,
  toSourceEvent,
  type SourceEventNode,
-} from "./events";
+} from "../events";
 import { downloadFile } from "./file";

 export async function runWorkflow(
@@ -1,10 +0,0 @@
-{
-  "extends": "./tsconfig.json",
-  "compilerOptions": {
-    "rootDir": "./next/app/api",
-    "outDir": "./server/app/api",
-    "emitDeclarationOnly": false
-  },
-  "include": ["./next/app/api"],
-  "exclude": ["./next/app/api/chat/route.ts"]
-}
@@ -181,14 +181,14 @@ importers:
        specifier: ^5.0.1
        version: 5.0.1(react-hook-form@7.56.1(react@19.1.0))
      '@llamaindex/chat-ui':
-        specifier: 0.4.6
-        version: 0.4.6(@babel/runtime@7.27.0)(@codemirror/autocomplete@6.18.6)(@codemirror/language@6.11.0)(@codemirror/lint@6.8.5)(@codemirror/search@6.5.10)(@codemirror/state@6.5.2)(@codemirror/theme-one-dark@6.1.2)(@codemirror/view@6.36.7)(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(codemirror@6.0.1)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)
+        specifier: 0.4.4
+        version: 0.4.4(@babel/runtime@7.27.0)(@codemirror/autocomplete@6.18.6)(@codemirror/language@6.11.0)(@codemirror/lint@6.8.5)(@codemirror/search@6.5.10)(@codemirror/state@6.5.2)(@codemirror/theme-one-dark@6.1.2)(@codemirror/view@6.36.7)(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(codemirror@6.0.1)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)
      '@llamaindex/env':
-        specifier: ~0.1.30
-        version: 0.1.30
+        specifier: ^0.1.29
+        version: 0.1.29
      '@llamaindex/workflow':
-        specifier: ~1.1.3
-        version: 1.1.3(@llamaindex/core@0.6.6)(@llamaindex/env@0.1.30)(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(p-retry@6.2.1)(zod@3.24.3)
+        specifier: ^1.1.0
+        version: 1.1.0(@llamaindex/core@0.6.2)(@llamaindex/env@0.1.29)(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(zod@3.24.3)
      '@radix-ui/react-accordion':
        specifier: ^1.2.3
        version: 1.2.8(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)
@@ -301,8 +301,8 @@ importers:
        specifier: ^19.1.0
        version: 19.1.0
      react-day-picker:
-        specifier: 9.7.0
-        version: 9.7.0(react@19.1.0)
+        specifier: 8.10.1
+        version: 8.10.1(date-fns@4.1.0)(react@19.1.0)
      react-dom:
        specifier: ^19.1.0
        version: 19.1.0(react@19.1.0)
@@ -341,8 +341,8 @@ importers:
        specifier: ^7.20.7
        version: 7.20.7
      llamaindex:
-        specifier: ~0.11.0
-        version: 0.11.1(@llama-flow/core@0.4.1(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(p-retry@6.2.1)(zod@3.24.3))(tree-sitter@0.22.4)(web-tree-sitter@0.24.7)(zod@3.24.3)
+        specifier: 0.10.2
+        version: 0.10.2(tree-sitter@0.22.4)(web-tree-sitter@0.24.7)(zod@3.24.3)
      postcss:
        specifier: ^8.5.3
        version: 8.5.3
@@ -378,7 +378,7 @@ importers:
        version: 0.0.4(openapi-types@12.1.3)
      '@llamaindex/workflow':
        specifier: 1.1.0
-        version: 1.1.0(@llamaindex/core@0.6.2)(@llamaindex/env@0.1.29)(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(p-retry@6.2.1)(zod@3.24.3)
+        version: 1.1.0(@llamaindex/core@0.6.2)(@llamaindex/env@0.1.29)(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(zod@3.24.3)
      dotenv:
        specifier: ^16.4.7
        version: 16.5.0
@@ -402,12 +402,6 @@ importers:
        specifier: ^5.3.2
        version: 5.8.3

-  python/llama-index-server:
-    dependencies:
-      '@llamaindex/server':
-        specifier: workspace:*
-        version: link:../../packages/server
-
 packages:

  '@ai-sdk/provider-utils@2.2.7':
@@ -613,9 +607,6 @@ packages:
    peerDependencies:
      '@bufbuild/protobuf': ^2.2.0

-  '@date-fns/tz@1.2.0':
-    resolution: {integrity: sha512-LBrd7MiJZ9McsOgxqWX7AaxrDjcFVjWH/tIKJd7pnR7McaslGYOP1QmmiBXdJH/H/yLCT+rcQ7FaPBUxRGUtrg==}
-
  '@discoveryjs/json-ext@0.6.3':
    resolution: {integrity: sha512-4B4OijXeVNOPZlYA2oEwWOTkzyltLao+xbotHQeqN++Rv27Y6s818+n2Qkp8q+Fxhn0t/5lA5X1Mxktud8eayQ==}
    engines: {node: '>=14.17.0'}
@@ -1189,8 +1180,8 @@ packages:
      zod:
        optional: true

-  '@llamaindex/chat-ui@0.4.6':
-    resolution: {integrity: sha512-XvJEv/rv//8vY9Z4RosbmTyPDQFyVaWlQFe0zrJ4inz+aYqHhYtEiSCmQGgPQG+NqWStlTwpOpCye1jy4mWciQ==}
+  '@llamaindex/chat-ui@0.4.4':
+    resolution: {integrity: sha512-sE3mJxlmAV3eiIaqOnioUNYYBLJJL8sy2mdFP4xXDf3PfkcEn0wT2Om/ButpVgIXHlPG9lONtv8mzw7hWq2Atg==}
    peerDependencies:
      react: ^18.2.0 || ^19.0.0 || ^19.0.0-rc

@@ -1200,22 +1191,12 @@ packages:
      '@llamaindex/core': 0.6.2
      '@llamaindex/env': 0.1.29

-  '@llamaindex/cloud@4.0.9':
-    resolution: {integrity: sha512-+tIPghKAzXFvKEPmbJZpcFJgzmxLq/HfSKlJAIinRdrSDBC489oAJsqkt6StxmlFUhWS3ATOtTWpqWZIQ9HtzA==}
-    peerDependencies:
-      '@llama-flow/core': ^0.4.1
-      '@llamaindex/core': 0.6.6
-      '@llamaindex/env': 0.1.30
-
  '@llamaindex/core@0.6.1':
    resolution: {integrity: sha512-OsY8JV2nbfWYjp24HEKDbtM6vOa0TNUreMjDMxUkw5Wet1TxKxjVq0YHY01RoqMbbTJ+Jsxa42FhzTaDV2gMkg==}

  '@llamaindex/core@0.6.2':
    resolution: {integrity: sha512-e0NH7X1C8yq9sCqj1Ys9jL9rITCXBKfZwmKnTHYxpXorPeuNmlFmuoogahJTwLNsILBDTOVAUexO88SqmAFUrA==}

-  '@llamaindex/core@0.6.6':
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  '@llamaindex/core@0.6.1':
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@@ -7309,29 +7228,12 @@ snapshots:
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-  '@llamaindex/core@0.6.6':
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-
  '@llamaindex/env@0.1.29':
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-  '@llamaindex/env@0.1.30':
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-
  '@llamaindex/node-parser@2.0.2(@llamaindex/core@0.6.2)(@llamaindex/env@0.1.29)(tree-sitter@0.22.4)(web-tree-sitter@0.24.7)':
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@@ -7340,14 +7242,6 @@ snapshots:
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-      web-tree-sitter: 0.24.7
-
  '@llamaindex/openai@0.2.1':
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@@ -7425,15 +7319,9 @@ snapshots:
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    dependencies:
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-  '@llamaindex/workflow@1.1.0(@llamaindex/core@0.6.2)(@llamaindex/env@0.1.29)(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(p-retry@6.2.1)(zod@3.24.3)':
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      '@llamaindex/core': 0.6.2
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@@ -7444,19 +7332,6 @@ snapshots:
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-  '@llamaindex/workflow@1.1.3(@llamaindex/core@0.6.6)(@llamaindex/env@0.1.30)(next@15.3.1(@opentelemetry/api@1.9.0)(@playwright/test@1.52.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(p-retry@6.2.1)(zod@3.24.3)':
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-      '@llamaindex/core': 0.6.6
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-      zod: 3.24.3
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-
  '@manypkg/find-root@1.1.0':
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@@ -8653,8 +8528,6 @@ snapshots:
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-  '@types/retry@0.12.2': {}
-
  '@types/retry@0.12.5': {}

  '@types/tar@6.1.5':
@@ -9451,8 +9324,6 @@ snapshots:
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-  date-fns-jalali@4.1.0-0: {}
-
  date-fns@4.1.0: {}

  debug@3.2.7:
@@ -10596,8 +10467,6 @@ snapshots:

  is-module@1.0.0: {}

-  is-network-error@1.1.0: {}
-
  is-number-object@1.1.1:
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@@ -10876,26 +10745,6 @@ snapshots:
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-      '@llamaindex/core': 0.6.6
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-      '@llamaindex/workflow': 1.0.3(@llamaindex/core@0.6.6)(@llamaindex/env@0.1.30)(zod@3.24.3)
-      '@types/lodash': 4.17.16
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-      - '@llama-flow/core'
-      - gpt-tokenizer
-      - tree-sitter
-      - web-tree-sitter
-      - zod
-
  locate-path@5.0.0:
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@@ -11633,12 +11482,6 @@ snapshots:

  p-map@2.1.0: {}

-  p-retry@6.2.1:
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-      is-network-error: 1.1.0
-      retry: 0.13.1
-
  p-timeout@3.2.0:
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@@ -11905,11 +11748,9 @@ snapshots:
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      strip-json-comments: 2.0.1

-  react-day-picker@9.7.0(react@19.1.0):
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      date-fns: 4.1.0
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      react: 19.1.0

  react-dom@19.1.0(react@19.1.0):
@@ -12205,8 +12046,6 @@ snapshots:

  retry@0.12.0: {}

-  retry@0.13.1: {}
-
  reusify@1.1.0: {}

  rfdc@1.4.1: {}
@@ -13250,6 +13089,4 @@ snapshots:

  zod@3.24.3: {}

-  zod@3.25.13: {}
-
  zwitch@2.0.4: {}
@@ -1,4 +1,3 @@
 packages:
  - "packages/*"
  - "packages/server/examples"
-  - "python/*"
@@ -5,7 +5,6 @@
 **/venv
 **/env
 **/llama-index-server.egg-info
-llama_index/server/resources/ui

 # Jupyter files
 **/*.ipynb
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
leehuwuj	666c0c3842	bump server packages	2025-05-16 14:53:20 +07:00
leehuwuj	7e382f5372	Enable dev mode that allows updating code directly in the UI	2025-05-15 16:58:16 +07:00