chore: update readme

README.md

@@ -14,7 +14,6 @@ Demo site: [https://next-ai-draw-io.vercel.app/](https://next-ai-draw-io.vercel.
 -   **Interactive Chat Interface**: Communicate with AI to refine your diagrams in real-time
 -   **Smart Editing**: Modify existing diagrams using simple text prompts
 -   **Targeted XML Editing**: AI can now make precise edits to specific parts of diagrams without regenerating the entire XML, making updates faster and more efficient
--   **Improved XML Handling**: Automatic formatting of single-line XML for better compatibility and reliability
 
 ## How It Works
 
@@ -32,79 +31,16 @@ This application supports multiple AI providers, making it easy to deploy with y
 
 ### Supported Providers
 
-| Provider | Status | Best For |
+| Provider         | Status       | Best For                                    |
-|----------|--------|----------|
+| ---------------- | ------------ | ------------------------------------------- |
-| **AWS Bedrock** | ✅ Default | Claude models via AWS infrastructure |
+| **AWS Bedrock**  | ✅ Default   | Claude models via AWS infrastructure        |
-| **OpenAI** | ✅ Supported | GPT-4, GPT-5, and reasoning models |
+| **OpenAI**       | ✅ Supported | GPT-4, GPT-5, and reasoning models          |
-| **Anthropic** | ✅ Supported | Direct access to Claude models |
+| **Anthropic**    | ✅ Supported | Direct access to Claude models              |
-| **Google AI** | ✅ Supported | Gemini models with multi-modal capabilities |
+| **Google AI**    | ✅ Supported | Gemini models with multi-modal capabilities |
-| **Azure OpenAI** | ✅ Supported | Enterprise OpenAI deployments |
+| **Azure OpenAI** | ✅ Supported | Enterprise OpenAI deployments               |
-| **Ollama** | ✅ Supported | Local/self-hosted open source models |
+| **Ollama**       | ✅ Supported | Local/self-hosted open source models        |
 
-### Quick Setup by Provider
+Note that `claude-sonnet-4-5` has trained on draw.io diagrams with AWS logos, so if you want to create AWS architecture diagrams, this is the best choice.
-
-#### AWS Bedrock (Default)
-```bash
-AI_PROVIDER=bedrock
-AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
-AWS_REGION=us-east-1
-AWS_ACCESS_KEY_ID=your-access-key
-AWS_SECRET_ACCESS_KEY=your-secret-key
-```
-
-#### OpenAI
-```bash
-AI_PROVIDER=openai
-AI_MODEL=gpt-4o
-OPENAI_API_KEY=sk-...
-```
-
-#### Anthropic
-```bash
-AI_PROVIDER=anthropic
-AI_MODEL=claude-sonnet-4-5
-ANTHROPIC_API_KEY=sk-ant-...
-```
-
-#### Google Generative AI
-```bash
-AI_PROVIDER=google
-AI_MODEL=gemini-2.5-flash
-GOOGLE_GENERATIVE_AI_API_KEY=...
-```
-
-#### Azure OpenAI
-```bash
-AI_PROVIDER=azure
-AI_MODEL=your-deployment-name
-AZURE_RESOURCE_NAME=your-resource
-AZURE_API_KEY=...
-```
-
-#### Ollama (Local)
-```bash
-AI_PROVIDER=ollama
-AI_MODEL=phi3
-OLLAMA_BASE_URL=http://localhost:11434/api  # Optional
-```
-Note: Install models locally first with `ollama pull <model-name>`
-
-### Recommended Models
-
-**Best Quality:**
-- AWS Bedrock: `global.anthropic.claude-sonnet-4-5-20250929-v1:0`
-- Anthropic: `claude-sonnet-4-5`
-- OpenAI: `gpt-4o` or `gpt-5`
-
-**Best Speed:**
-- Google: `gemini-2.5-flash`
-- OpenAI: `gpt-4o`
-- Anthropic: `claude-haiku-4-5`
-
-**Best Cost:**
-- Ollama: Free (local models)
-- Google: `gemini-1.5-flash-8b`
-- OpenAI: `gpt-4o-mini`
 
 ## Getting Started
 
@@ -130,13 +66,14 @@ yarn install
 Create a `.env.local` file in the root directory:
 
 ```bash
-cp .env.example .env.local
+cp env.example .env.local
 ```
 
 Edit `.env.local` and configure your chosen provider:
-- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama)
+
-- Set `AI_MODEL` to the specific model you want to use
+-   Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama)
-- Add the required API keys for your provider
+-   Set `AI_MODEL` to the specific model you want to use
+-   Add the required API keys for your provider
 
 See the [Multi-Provider Support](#multi-provider-support) section above for provider-specific configuration examples.
 
@@ -157,6 +94,8 @@ Check out the [Next.js deployment documentation](https://nextjs.org/docs/app/bui
 Or you can deploy by this button.
 [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
 
+Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
+
 ## Project Structure
 
 ```