update ar_dit_test

examples/basic/README.md

@@ -1,76 +1,10 @@
-# Basic vLLM-omni Examples
+# Basic Examples
 
-This directory contains simple examples demonstrating how to use vLLM-omni for text generation.
+Quick-start scripts for experimenting with vLLM-omni.
 
-## Examples
+## Scripts
 
-### 1. `simple_usage.py` - Direct Library Usage
-
-Demonstrates how to use vLLM-omni directly in your Python code:
-
-```bash
-# Run the example
-python simple_usage.py
-```
-
-**Features:**
-- Synchronous text generation
-- Asynchronous text generation  
-- Multi-prompt processing
-- Shows both text output and token information
-
-### 2. `api_client.py` - API Server Usage
-
-Demonstrates how to interact with the vLLM-omni API server:
-
-```bash
-# First, start the server
-vllm serve Qwen/Qwen3-0.6B --omni --port 8000
-
-# Then run the client (in another terminal)
-python api_client.py
-```
-
-**Features:**
-- Health check
-- Text generation via HTTP API
-- Multiple prompt types
-- Full response structure inspection
-
-## Quick Start
-
-1. **Install vLLM-omni:**
-   ```bash
-   pip install -e .
-   ```
-
-2. **Run direct usage example:**
-   ```bash
-   cd examples/basic
-   python simple_usage.py
-   ```
-
-3. **Run API server example:**
-   ```bash
-   # Terminal 1: Start server
-   vllm serve Qwen/Qwen3-0.6B --omni --port 8000
-   
-   # Terminal 2: Run client
-   cd examples/basic
-   python api_client.py
-   ```
-
-## Expected Output
-
-The examples will show:
-- ✅ Generated text responses
-- ✅ Token counts and completion status
-- ✅ Stage processing information
-- ✅ Error handling
-
-## Requirements
-
-- Python 3.8+
-- vLLM-omni installed
-- For API examples: HTTP server running
+- `text_generation.py` – Minimal standalone usage showing how to create an LLM and generate text locally.
+- `api_client.py` – Demonstrates calling the FastAPI `/generate` endpoint from Python.
 
+Run any script with `python examples/basic/<script>.py`. Ensure the `vllm_omni` conda environment is active and dependencies are installed.