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109
gitbook/content/en/integration/claude-code.md
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109
gitbook/content/en/integration/claude-code.md
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# Claude Code Integration
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Integrate 9Router with Claude Code CLI to route your Anthropic API requests through 9Router's intelligent routing system.
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## Prerequisites
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||||
- Claude Code CLI installed
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||||
- 9Router running locally or cloud endpoint configured
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||||
- API key from 9Router dashboard
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||||
|
||||
## Setup
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### 1. Configure Environment Variables
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||||
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||||
Set the following environment variables in your shell configuration file (`~/.bashrc`, `~/.zshrc`, or `~/.bash_profile`):
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||||
```bash
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# Base URL for 9Router
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export ANTHROPIC_BASE_URL="http://localhost:20128/v1"
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# Optional: Set default models for aliases
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export ANTHROPIC_DEFAULT_OPUS_MODEL="cc/claude-opus-4-5-20251101"
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export ANTHROPIC_DEFAULT_SONNET_MODEL="cc/claude-sonnet-4-5-20250929"
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export ANTHROPIC_DEFAULT_HAIKU_MODEL="cc/claude-haiku-4-5-20251001"
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```
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### 2. Reload Shell Configuration
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```bash
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source ~/.zshrc # or ~/.bashrc
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```
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### 3. Verify Configuration
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Check that the environment variables are set correctly:
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```bash
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echo $ANTHROPIC_BASE_URL
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```
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## Model Aliases
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Claude Code supports the following model aliases that map to 9Router models:
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| Alias | Model | Environment Variable |
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|-------|-------|---------------------|
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| `opus` | Claude Opus 4.5 | `ANTHROPIC_DEFAULT_OPUS_MODEL` |
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| `sonnet` | Claude Sonnet 4.5 | `ANTHROPIC_DEFAULT_SONNET_MODEL` |
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| `haiku` | Claude Haiku 4.5 | `ANTHROPIC_DEFAULT_HAIKU_MODEL` |
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## Usage Examples
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### Using Model Aliases
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```bash
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# Use Opus model
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claude --model opus "Explain quantum computing"
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# Use Sonnet model
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claude --model sonnet "Write a Python function"
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# Use Haiku model
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claude --model haiku "Quick code review"
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```
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### Using Full Model Names
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```bash
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claude --model cc/claude-opus-4-5-20251101 "Your prompt here"
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```
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## Settings File
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Claude Code stores its configuration in `~/.claude/settings.json`. You can manually edit this file if needed:
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```json
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{
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"baseUrl": "http://localhost:20128/v1",
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"defaultModel": "sonnet"
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}
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```
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## Troubleshooting
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### Connection Issues
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If you encounter connection errors:
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||||
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1. Verify 9Router is running: `curl http://localhost:20128/health`
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2. Check environment variables are set correctly
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3. Ensure no firewall is blocking port 20128
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### Model Not Found
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If you get "model not found" errors:
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1. Verify the model name matches your 9Router configuration
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2. Check that the provider connection is active in 9Router dashboard
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3. Ensure the model is available in your connected providers
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## Cloud Endpoint
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To use 9Router cloud endpoint instead of localhost:
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```bash
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export ANTHROPIC_BASE_URL="https://9router.com"
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```
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Make sure you have configured your API key in the 9Router cloud dashboard.
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201
gitbook/content/en/integration/cline.md
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201
gitbook/content/en/integration/cline.md
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# Cline Integration
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Integrate 9Router with Cline VSCode extension to route your AI requests through 9Router's intelligent routing system.
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## Prerequisites
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- Visual Studio Code installed
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- Cline extension installed from VSCode marketplace
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- 9Router running locally or cloud endpoint configured
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- API key from 9Router dashboard
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## Setup
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### 1. Open Cline Settings
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1. Open Visual Studio Code
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2. Open the Cline extension panel (click the Cline icon in the sidebar)
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3. Click the **Settings** icon (gear icon) in the Cline panel
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### 2. Select API Provider
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1. In the Cline settings, find **API Provider** dropdown
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2. Select **Ollama** from the list
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- Note: We use Ollama provider type because it's compatible with OpenAI-style APIs
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### 3. Configure Base URL
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Set the base URL to your 9Router endpoint:
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**For Local 9Router:**
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```
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http://localhost:20128/v1
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```
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**For Cloud 9Router:**
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```
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https://9router.com
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```
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**Steps:**
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1. In the **Base URL** field, enter your 9Router endpoint
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2. Make sure to include `/v1` at the end
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### 4. Add API Key
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1. In the **API Key** field, enter your 9Router API key
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2. You can find your API key in the 9Router dashboard under **Settings → API Keys**
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3. The key should start with `sk-9router-`
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### 5. Select Model
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1. In the **Model** dropdown, you can either:
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- Select from available models (if Cline auto-detects them)
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- Manually enter the model name from your 9Router configuration
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2. Common model names:
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- `gpt-4`
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- `gpt-4o`
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- `claude-opus-4-5`
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- `claude-sonnet-4-5`
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- `gemini-2.0-flash`
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### 6. Save Configuration
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Click **Save** or close the settings panel. Cline will automatically save your configuration.
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## Configuration Example
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Your Cline settings should look like this:
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```
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API Provider: Ollama
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Base URL: http://localhost:20128/v1
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API Key: sk-9router-xxxxxxxxxxxxx
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Model: gpt-4
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```
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## Available Models
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You can use any model configured in your 9Router dashboard. Common examples:
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| Model Name | Provider | Description |
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|------------|----------|-------------|
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| `gpt-4` | OpenAI | GPT-4 Turbo |
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| `gpt-4o` | OpenAI | GPT-4 Optimized |
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| `claude-opus-4-5` | Anthropic | Claude Opus 4.5 |
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| `claude-sonnet-4-5` | Anthropic | Claude Sonnet 4.5 |
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| `gemini-2.0-flash` | Google | Gemini 2.0 Flash |
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## Usage
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### Chat with AI
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1. Open the Cline panel in VSCode
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2. Type your message in the chat input
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3. Press Enter to send
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4. Cline will use 9Router to process your request
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### Code Generation
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1. Ask Cline to generate code: "Create a React component for a login form"
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2. Cline will generate code using 9Router
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3. Review and accept the generated code
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### Code Explanation
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1. Select code in your editor
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2. Ask Cline: "Explain this code"
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3. Get AI-powered explanations through 9Router
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### File Operations
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1. Ask Cline to create, modify, or delete files
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2. Cline will use 9Router to understand context and make changes
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3. Review changes before accepting
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|
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## Troubleshooting
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||||
|
||||
### "Connection Failed" Error
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||||
|
||||
1. Verify 9Router is running: `curl http://localhost:20128/health`
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||||
2. Check that the base URL is correct and includes `/v1`
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3. Ensure no firewall is blocking port 20128
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||||
4. Try restarting VSCode
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||||
|
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### "Invalid API Key" Error
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||||
|
||||
1. Verify your API key in 9Router dashboard
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2. Make sure you copied the entire key including the `sk-9router-` prefix
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3. Check that the API key has not expired
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||||
4. Try regenerating a new API key
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||||
### "Model Not Found" Error
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||||
|
||||
1. Verify the model name matches exactly with your 9Router configuration
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2. Check that the provider connection is active in 9Router dashboard
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3. Ensure the model is available in your connected providers
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4. Try using the full model name (e.g., `openai/gpt-4` instead of `gpt-4`)
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### Cline Not Responding
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1. Check the Cline output panel for error messages
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2. Verify your 9Router instance is running and healthy
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3. Try reloading VSCode window (Cmd/Ctrl + Shift + P → "Reload Window")
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4. Check 9Router logs for any errors
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## Advanced Configuration
|
||||
|
||||
### Using Cloud Endpoint
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||||
|
||||
To use 9Router cloud endpoint instead of localhost:
|
||||
|
||||
1. In Cline settings, set Base URL to: `https://9router.com`
|
||||
2. Make sure you have configured your API key in the 9Router cloud dashboard
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||||
3. Ensure your cloud endpoint is active and accessible
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||||
|
||||
### Multiple Models
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||||
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You can quickly switch between models:
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||||
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1. Open Cline settings
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2. Change the **Model** field to a different model
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||||
3. Save and continue chatting with the new model
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||||
|
||||
### Custom Timeout
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||||
|
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If you experience timeout issues with large requests:
|
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|
||||
1. Open VSCode settings (Cmd/Ctrl + ,)
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||||
2. Search for "Cline timeout"
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||||
3. Increase the timeout value (default is usually 30 seconds)
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||||
|
||||
## Best Practices
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||||
|
||||
1. **Use Appropriate Models**: Choose faster models (like Haiku or Flash) for simple tasks, and more powerful models (like Opus or GPT-4) for complex tasks
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||||
2. **Monitor Usage**: Check 9Router dashboard for usage statistics and costs
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||||
3. **Context Management**: Keep your conversations focused to reduce token usage
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||||
4. **Model Switching**: Switch models based on task complexity to optimize cost and performance
|
||||
5. **API Key Security**: Never commit your API key to version control
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||||
|
||||
## Integration with 9Router Features
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||||
|
||||
### Model Routing
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||||
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||||
9Router automatically routes your requests to the best available provider based on:
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||||
- Model availability
|
||||
- Provider health status
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||||
- Cost optimization
|
||||
- Load balancing
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||||
|
||||
### Fallback Support
|
||||
|
||||
If a provider fails, 9Router automatically falls back to alternative providers configured in your dashboard.
|
||||
|
||||
### Usage Tracking
|
||||
|
||||
Monitor your Cline usage through 9Router dashboard:
|
||||
- Total requests
|
||||
- Token usage
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||||
- Cost per model
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||||
- Provider distribution
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||||
136
gitbook/content/en/integration/codex.md
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136
gitbook/content/en/integration/codex.md
Normal file
@@ -0,0 +1,136 @@
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# OpenAI Codex CLI Integration
|
||||
|
||||
Integrate 9Router with OpenAI Codex CLI to route your OpenAI API requests through 9Router's intelligent routing system.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- OpenAI Codex CLI installed
|
||||
- 9Router running locally or cloud endpoint configured
|
||||
- API key from 9Router dashboard
|
||||
|
||||
## Setup
|
||||
|
||||
### 1. Configure Environment Variables
|
||||
|
||||
Set the following environment variables in your shell configuration file (`~/.bashrc`, `~/.zshrc`, or `~/.bash_profile`):
|
||||
|
||||
```bash
|
||||
# Base URL for 9Router
|
||||
export OPENAI_BASE_URL="http://localhost:20128/v1"
|
||||
|
||||
# API Key from 9Router dashboard
|
||||
export OPENAI_API_KEY="your-9router-api-key"
|
||||
```
|
||||
|
||||
### 2. Reload Shell Configuration
|
||||
|
||||
```bash
|
||||
source ~/.zshrc # or ~/.bashrc
|
||||
```
|
||||
|
||||
### 3. Verify Configuration
|
||||
|
||||
Check that the environment variables are set correctly:
|
||||
|
||||
```bash
|
||||
echo $OPENAI_BASE_URL
|
||||
echo $OPENAI_API_KEY
|
||||
```
|
||||
|
||||
## Available Models
|
||||
|
||||
9Router provides the following Codex models:
|
||||
|
||||
| Model ID | Description |
|
||||
|----------|-------------|
|
||||
| `cx/gpt-5.2-codex` | GPT-5.2 Codex - Latest version |
|
||||
| `cx/gpt-5.1-codex-max` | GPT-5.1 Codex Max - Extended context |
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Basic Usage
|
||||
|
||||
```bash
|
||||
# Use GPT-5.2 Codex
|
||||
codex --model cx/gpt-5.2-codex "Write a function to sort an array"
|
||||
|
||||
# Use GPT-5.1 Codex Max
|
||||
codex --model cx/gpt-5.1-codex-max "Explain this complex algorithm"
|
||||
```
|
||||
|
||||
### Code Generation
|
||||
|
||||
```bash
|
||||
codex --model cx/gpt-5.2-codex "Create a REST API endpoint for user authentication"
|
||||
```
|
||||
|
||||
### Code Explanation
|
||||
|
||||
```bash
|
||||
codex --model cx/gpt-5.1-codex-max "Explain what this code does: $(cat myfile.js)"
|
||||
```
|
||||
|
||||
## Configuration File
|
||||
|
||||
You can also configure Codex CLI using a configuration file. Create or edit `~/.codex/config.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"baseUrl": "http://localhost:20128/v1",
|
||||
"apiKey": "your-9router-api-key",
|
||||
"defaultModel": "cx/gpt-5.2-codex"
|
||||
}
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Authentication Errors
|
||||
|
||||
If you encounter authentication errors:
|
||||
|
||||
1. Verify your API key is correct in 9Router dashboard
|
||||
2. Check that `OPENAI_API_KEY` environment variable is set
|
||||
3. Ensure the API key has not expired
|
||||
|
||||
### Connection Issues
|
||||
|
||||
If you encounter connection errors:
|
||||
|
||||
1. Verify 9Router is running: `curl http://localhost:20128/health`
|
||||
2. Check environment variables are set correctly
|
||||
3. Ensure no firewall is blocking port 20128
|
||||
|
||||
### Model Not Available
|
||||
|
||||
If you get "model not available" errors:
|
||||
|
||||
1. Verify the model name matches your 9Router configuration
|
||||
2. Check that the OpenAI provider connection is active in 9Router dashboard
|
||||
3. Ensure the model is available in your connected providers
|
||||
|
||||
## Cloud Endpoint
|
||||
|
||||
To use 9Router cloud endpoint instead of localhost:
|
||||
|
||||
```bash
|
||||
export OPENAI_BASE_URL="https://9router.com"
|
||||
```
|
||||
|
||||
Make sure you have configured your API key in the 9Router cloud dashboard.
|
||||
|
||||
## Advanced Configuration
|
||||
|
||||
### Custom Timeout
|
||||
|
||||
```bash
|
||||
export OPENAI_TIMEOUT=60 # seconds
|
||||
```
|
||||
|
||||
### Debug Mode
|
||||
|
||||
Enable debug mode to see detailed request/response logs:
|
||||
|
||||
```bash
|
||||
export CODEX_DEBUG=true
|
||||
codex --model cx/gpt-5.2-codex "Your prompt"
|
||||
```
|
||||
249
gitbook/content/en/integration/continue.md
Normal file
249
gitbook/content/en/integration/continue.md
Normal file
@@ -0,0 +1,249 @@
|
||||
# Continue VSCode Extension Integration
|
||||
|
||||
Integrate 9Router with Continue extension to bring AI assistance directly into Visual Studio Code.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- Visual Studio Code installed
|
||||
- Continue extension installed from VSCode marketplace
|
||||
- 9Router API key from [dashboard](https://9router.com/dashboard)
|
||||
- 9Router running (local or cloud)
|
||||
|
||||
## Configuration Steps
|
||||
|
||||
### 1. Open Continue Configuration
|
||||
|
||||
1. Open VSCode
|
||||
2. Press `Cmd+Shift+P` (Mac) or `Ctrl+Shift+P` (Windows/Linux)
|
||||
3. Type "Continue: Open Config" and select it
|
||||
4. This opens `~/.continue/config.json`
|
||||
|
||||
### 2. Add 9Router Model Configuration
|
||||
|
||||
Add the following configuration to your `config.json`:
|
||||
|
||||
**Single Model Setup:**
|
||||
```json
|
||||
{
|
||||
"models": [
|
||||
{
|
||||
"title": "9Router - Claude Opus",
|
||||
"provider": "openai",
|
||||
"model": "cc/claude-opus-4-5-20251101",
|
||||
"apiKey": "your-api-key-from-dashboard",
|
||||
"apiBase": "http://localhost:20128/v1"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**Multiple Models Setup:**
|
||||
```json
|
||||
{
|
||||
"models": [
|
||||
{
|
||||
"title": "9Router - Claude Opus (Best)",
|
||||
"provider": "openai",
|
||||
"model": "cc/claude-opus-4-5-20251101",
|
||||
"apiKey": "your-api-key-from-dashboard",
|
||||
"apiBase": "http://localhost:20128/v1"
|
||||
},
|
||||
{
|
||||
"title": "9Router - Claude Sonnet (Balanced)",
|
||||
"provider": "openai",
|
||||
"model": "cc/claude-sonnet-4-20250514",
|
||||
"apiKey": "your-api-key-from-dashboard",
|
||||
"apiBase": "http://localhost:20128/v1"
|
||||
},
|
||||
{
|
||||
"title": "9Router - DeepSeek Chat (Code)",
|
||||
"provider": "openai",
|
||||
"model": "cx/deepseek-chat",
|
||||
"apiKey": "your-api-key-from-dashboard",
|
||||
"apiBase": "http://localhost:20128/v1"
|
||||
},
|
||||
{
|
||||
"title": "9Router - Claude Haiku (Fast)",
|
||||
"provider": "openai",
|
||||
"model": "cc/claude-haiku-4-20250514",
|
||||
"apiKey": "your-api-key-from-dashboard",
|
||||
"apiBase": "http://localhost:20128/v1"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**For Cloud 9Router:**
|
||||
Replace `apiBase` with:
|
||||
```json
|
||||
"apiBase": "https://9router.com/v1"
|
||||
```
|
||||
|
||||
### 3. Save and Reload
|
||||
|
||||
1. Save the configuration file
|
||||
2. Reload VSCode window: `Cmd+Shift+P` → "Developer: Reload Window"
|
||||
3. Continue extension will load the new configuration
|
||||
|
||||
### 4. Select Model
|
||||
|
||||
1. Open Continue sidebar (click Continue icon in left panel)
|
||||
2. Click model selector dropdown at the top
|
||||
3. Choose your preferred 9Router model
|
||||
|
||||
## Available Models
|
||||
|
||||
### Claude Models (Anthropic)
|
||||
- `cc/claude-opus-4-5-20251101` - Most capable, best for complex tasks
|
||||
- `cc/claude-sonnet-4-20250514` - Balanced performance and speed
|
||||
- `cc/claude-haiku-4-20250514` - Fastest, good for simple tasks
|
||||
|
||||
### DeepSeek Models
|
||||
- `cx/deepseek-chat` - Excellent for code generation
|
||||
- `cx/deepseek-reasoner` - Best for complex problem solving
|
||||
|
||||
### GLM Models (Zhipu AI)
|
||||
- `glm/glm-4-plus` - Advanced Chinese and English
|
||||
- `glm/glm-4-flash` - Fast responses
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Code Explanation
|
||||
1. Select code in editor
|
||||
2. Open Continue sidebar
|
||||
3. Type: "Explain this code"
|
||||
4. Model: `cc/claude-sonnet-4-20250514`
|
||||
|
||||
### Code Generation
|
||||
1. Open Continue sidebar
|
||||
2. Type: "Create a React component for user profile card"
|
||||
3. Model: `cx/deepseek-chat`
|
||||
|
||||
### Refactoring
|
||||
1. Select code to refactor
|
||||
2. Type: "Refactor this to use async/await"
|
||||
3. Model: `cc/claude-sonnet-4-20250514`
|
||||
|
||||
### Bug Fixing
|
||||
1. Select problematic code
|
||||
2. Type: "Find and fix the bug in this code"
|
||||
3. Model: `cx/deepseek-reasoner`
|
||||
|
||||
## Advanced Configuration
|
||||
|
||||
### Custom System Prompts
|
||||
|
||||
Add custom system prompts for specific behaviors:
|
||||
|
||||
```json
|
||||
{
|
||||
"models": [
|
||||
{
|
||||
"title": "9Router - Code Expert",
|
||||
"provider": "openai",
|
||||
"model": "cx/deepseek-chat",
|
||||
"apiKey": "your-api-key",
|
||||
"apiBase": "http://localhost:20128/v1",
|
||||
"systemMessage": "You are an expert programmer. Always provide clean, well-documented code with best practices."
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Temperature and Parameters
|
||||
|
||||
Adjust model behavior with parameters:
|
||||
|
||||
```json
|
||||
{
|
||||
"models": [
|
||||
{
|
||||
"title": "9Router - Creative Writer",
|
||||
"provider": "openai",
|
||||
"model": "cc/claude-opus-4-5-20251101",
|
||||
"apiKey": "your-api-key",
|
||||
"apiBase": "http://localhost:20128/v1",
|
||||
"temperature": 0.9,
|
||||
"topP": 0.95
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Context Providers
|
||||
|
||||
Configure what context Continue sends to the model:
|
||||
|
||||
```json
|
||||
{
|
||||
"contextProviders": [
|
||||
{
|
||||
"name": "code",
|
||||
"params": {
|
||||
"maxLines": 100
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "diff",
|
||||
"params": {}
|
||||
},
|
||||
{
|
||||
"name": "terminal",
|
||||
"params": {}
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
## Keyboard Shortcuts
|
||||
|
||||
- `Cmd+L` (Mac) / `Ctrl+L` (Windows/Linux) - Open Continue chat
|
||||
- `Cmd+I` (Mac) / `Ctrl+I` (Windows/Linux) - Inline edit
|
||||
- `Cmd+Shift+R` (Mac) / `Ctrl+Shift+R` (Windows/Linux) - Regenerate response
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Model Not Responding
|
||||
- Check 9Router is running: `curl http://localhost:20128/health`
|
||||
- Verify API key in config.json
|
||||
- Check VSCode Developer Console for errors: `Help` → `Toggle Developer Tools`
|
||||
|
||||
### Wrong Model Selected
|
||||
- Click model dropdown in Continue sidebar
|
||||
- Select correct 9Router model
|
||||
- Model name must match exactly (case-sensitive)
|
||||
|
||||
### Configuration Not Loading
|
||||
- Verify JSON syntax is valid (use JSON validator)
|
||||
- Check file location: `~/.continue/config.json`
|
||||
- Reload VSCode window after changes
|
||||
|
||||
### Slow Performance
|
||||
- Switch to faster models (haiku, flash)
|
||||
- Reduce context size in contextProviders
|
||||
- Check network latency to 9Router
|
||||
|
||||
## Best Practices
|
||||
|
||||
### Model Selection Strategy
|
||||
- **Quick edits**: Use `cc/claude-haiku-4-20250514`
|
||||
- **Code generation**: Use `cx/deepseek-chat`
|
||||
- **Complex refactoring**: Use `cc/claude-opus-4-5-20251101`
|
||||
- **Problem solving**: Use `cx/deepseek-reasoner`
|
||||
|
||||
### Context Management
|
||||
- Select only relevant code before asking
|
||||
- Use specific, clear prompts
|
||||
- Break complex tasks into smaller steps
|
||||
|
||||
### Cost Optimization
|
||||
- Use faster/cheaper models for simple tasks
|
||||
- Limit context size when possible
|
||||
- Cache frequently used responses
|
||||
|
||||
## Next Steps
|
||||
|
||||
- [Configure Cursor](cursor.md) for enhanced IDE integration
|
||||
- [Set up Roo](roo.md) for AI assistant
|
||||
- [Explore CLI usage](../cli/basic-usage.md)
|
||||
- [Learn about model selection](../models/overview.md)
|
||||
149
gitbook/content/en/integration/cursor.md
Normal file
149
gitbook/content/en/integration/cursor.md
Normal file
@@ -0,0 +1,149 @@
|
||||
# Cursor Integration
|
||||
|
||||
Integrate 9Router with Cursor IDE to route your AI requests through 9Router's intelligent routing system.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- Cursor IDE installed
|
||||
- Cursor Pro account (required for custom API endpoints)
|
||||
- 9Router cloud endpoint configured
|
||||
- API key from 9Router dashboard
|
||||
|
||||
## ⚠️ Important Notes
|
||||
|
||||
> **Cloud Endpoint Required**: Cursor routes requests through its own server and does not support localhost endpoints. You must use the 9Router cloud endpoint: `https://9router.com`
|
||||
|
||||
> **Cursor Pro Required**: This feature requires a Cursor Pro account to use custom API endpoints.
|
||||
|
||||
## Setup
|
||||
|
||||
### 1. Open Cursor Settings
|
||||
|
||||
1. Open Cursor IDE
|
||||
2. Go to **Settings** (Cmd/Ctrl + ,)
|
||||
3. Navigate to **Models** section
|
||||
|
||||
### 2. Enable OpenAI API
|
||||
|
||||
1. Find the **OpenAI API key** option
|
||||
2. Enable the toggle to activate custom API configuration
|
||||
|
||||
### 3. Configure Base URL
|
||||
|
||||
Set the base URL to 9Router cloud endpoint:
|
||||
|
||||
```
|
||||
https://9router.com
|
||||
```
|
||||
|
||||
**Steps:**
|
||||
1. In the Models settings, locate the **Base URL** field
|
||||
2. Enter: `https://9router.com`
|
||||
3. Click **Save**
|
||||
|
||||
### 4. Add API Key
|
||||
|
||||
1. In the **API Key** field, enter your 9Router API key
|
||||
2. You can find your API key in the 9Router dashboard under **Settings → API Keys**
|
||||
3. Click **Save**
|
||||
|
||||
### 5. Add Custom Model
|
||||
|
||||
1. Click **View All Models** button
|
||||
2. Click **Add Custom Model**
|
||||
3. Enter the model name from your 9Router configuration (e.g., `gpt-4`, `claude-opus-4-5`, etc.)
|
||||
4. Click **Add**
|
||||
|
||||
### 6. Select Model
|
||||
|
||||
1. In the Cursor chat interface, click the model selector dropdown
|
||||
2. Choose your custom model from the list
|
||||
3. Start using 9Router with Cursor!
|
||||
|
||||
## Configuration Example
|
||||
|
||||
Your Cursor settings should look like this:
|
||||
|
||||
```
|
||||
OpenAI API: ✓ Enabled
|
||||
Base URL: https://9router.com
|
||||
API Key: sk-9router-xxxxxxxxxxxxx
|
||||
Custom Models: gpt-4, claude-opus-4-5, gemini-2.0-flash
|
||||
```
|
||||
|
||||
## Available Models
|
||||
|
||||
You can use any model configured in your 9Router dashboard. Common examples:
|
||||
|
||||
| Model Name | Provider | Description |
|
||||
|------------|----------|-------------|
|
||||
| `gpt-4` | OpenAI | GPT-4 Turbo |
|
||||
| `gpt-4o` | OpenAI | GPT-4 Optimized |
|
||||
| `claude-opus-4-5` | Anthropic | Claude Opus 4.5 |
|
||||
| `claude-sonnet-4-5` | Anthropic | Claude Sonnet 4.5 |
|
||||
| `gemini-2.0-flash` | Google | Gemini 2.0 Flash |
|
||||
|
||||
## Usage
|
||||
|
||||
### Chat Interface
|
||||
|
||||
1. Open Cursor chat (Cmd/Ctrl + L)
|
||||
2. Select your model from the dropdown
|
||||
3. Start chatting with AI through 9Router
|
||||
|
||||
### Inline Code Generation
|
||||
|
||||
1. Select code in your editor
|
||||
2. Press Cmd/Ctrl + K
|
||||
3. Enter your prompt
|
||||
4. Cursor will use 9Router to generate code
|
||||
|
||||
### Code Explanation
|
||||
|
||||
1. Select code in your editor
|
||||
2. Press Cmd/Ctrl + L
|
||||
3. Ask "Explain this code"
|
||||
4. Get AI-powered explanations through 9Router
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### "Invalid API Key" Error
|
||||
|
||||
1. Verify your API key in 9Router dashboard
|
||||
2. Make sure you copied the entire key including the `sk-9router-` prefix
|
||||
3. Check that the API key has not expired
|
||||
4. Try regenerating a new API key
|
||||
|
||||
### "Model Not Found" Error
|
||||
|
||||
1. Verify the model name matches exactly with your 9Router configuration
|
||||
2. Check that the provider connection is active in 9Router dashboard
|
||||
3. Ensure the model is available in your connected providers
|
||||
4. Try using the full model name (e.g., `openai/gpt-4` instead of `gpt-4`)
|
||||
|
||||
### Connection Issues
|
||||
|
||||
1. Verify you are using the cloud endpoint: `https://9router.com`
|
||||
2. Check your internet connection
|
||||
3. Ensure 9Router cloud service is operational
|
||||
4. Try disabling VPN or proxy if enabled
|
||||
|
||||
### Localhost Not Working
|
||||
|
||||
> **Remember**: Cursor does not support localhost endpoints. You must use the cloud endpoint `https://9router.com`. If you need to use a local 9Router instance, consider using a tunneling service like ngrok to expose your local endpoint.
|
||||
|
||||
## Cloud Endpoint Setup
|
||||
|
||||
If you're running 9Router locally and want to use it with Cursor:
|
||||
|
||||
1. Enable cloud endpoint in 9Router settings
|
||||
2. Configure your cloud endpoint URL in 9Router dashboard
|
||||
3. Use the cloud URL in Cursor settings
|
||||
4. Ensure your local 9Router instance is accessible from the internet
|
||||
|
||||
## Best Practices
|
||||
|
||||
1. **Use Model Aliases**: Create short aliases for frequently used models in 9Router
|
||||
2. **Monitor Usage**: Check 9Router dashboard for usage statistics and costs
|
||||
3. **Rotate API Keys**: Regularly rotate your API keys for security
|
||||
4. **Test Models**: Try different models to find the best one for your use case
|
||||
416
gitbook/content/en/integration/other-tools.md
Normal file
416
gitbook/content/en/integration/other-tools.md
Normal file
@@ -0,0 +1,416 @@
|
||||
# Other Tools Integration
|
||||
|
||||
9Router is compatible with any tool that supports the OpenAI API format. This guide covers generic integration patterns for various tools and custom applications.
|
||||
|
||||
## Overview
|
||||
|
||||
9Router provides an OpenAI-compatible API endpoint that works with:
|
||||
- Custom scripts and applications
|
||||
- API clients and testing tools
|
||||
- CLI tools and utilities
|
||||
- Third-party integrations
|
||||
- Development frameworks
|
||||
|
||||
## Generic Setup Pattern
|
||||
|
||||
Any OpenAI-compatible tool can connect to 9Router using these settings:
|
||||
|
||||
**Local 9Router:**
|
||||
```
|
||||
Base URL: http://localhost:20128/v1
|
||||
API Key: your-api-key-from-dashboard
|
||||
Model: any 9Router model (cc/*, cx/*, glm/*, etc.)
|
||||
```
|
||||
|
||||
**Cloud 9Router:**
|
||||
```
|
||||
Base URL: https://9router.com/v1
|
||||
API Key: your-api-key-from-dashboard
|
||||
Model: any 9Router model (cc/*, cx/*, glm/*, etc.)
|
||||
```
|
||||
|
||||
## Available Models
|
||||
|
||||
### Claude Models (Anthropic)
|
||||
- `cc/claude-opus-4-5-20251101`
|
||||
- `cc/claude-sonnet-4-20250514`
|
||||
- `cc/claude-haiku-4-20250514`
|
||||
|
||||
### DeepSeek Models
|
||||
- `cx/deepseek-chat`
|
||||
- `cx/deepseek-reasoner`
|
||||
|
||||
### GLM Models (Zhipu AI)
|
||||
- `glm/glm-4-plus`
|
||||
- `glm/glm-4-flash`
|
||||
|
||||
## Integration Examples
|
||||
|
||||
### Python with OpenAI SDK
|
||||
|
||||
```python
|
||||
from openai import OpenAI
|
||||
|
||||
client = OpenAI(
|
||||
api_key="your-api-key-from-dashboard",
|
||||
base_url="http://localhost:20128/v1"
|
||||
)
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model="cc/claude-sonnet-4-20250514",
|
||||
messages=[
|
||||
{"role": "user", "content": "Hello, how are you?"}
|
||||
]
|
||||
)
|
||||
|
||||
print(response.choices[0].message.content)
|
||||
```
|
||||
|
||||
### Node.js with OpenAI SDK
|
||||
|
||||
```javascript
|
||||
import OpenAI from "openai";
|
||||
|
||||
const client = new OpenAI({
|
||||
apiKey: "your-api-key-from-dashboard",
|
||||
baseURL: "http://localhost:20128/v1"
|
||||
});
|
||||
|
||||
const response = await client.chat.completions.create({
|
||||
model: "cc/claude-sonnet-4-20250514",
|
||||
messages: [
|
||||
{ role: "user", content: "Hello, how are you?" }
|
||||
]
|
||||
});
|
||||
|
||||
console.log(response.choices[0].message.content);
|
||||
```
|
||||
|
||||
### cURL Command
|
||||
|
||||
```bash
|
||||
curl http://localhost:20128/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer your-api-key-from-dashboard" \
|
||||
-d '{
|
||||
"model": "cc/claude-sonnet-4-20250514",
|
||||
"messages": [
|
||||
{"role": "user", "content": "Hello, how are you?"}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
### HTTP Client (Postman, Insomnia)
|
||||
|
||||
**Request:**
|
||||
```
|
||||
POST http://localhost:20128/v1/chat/completions
|
||||
```
|
||||
|
||||
**Headers:**
|
||||
```
|
||||
Content-Type: application/json
|
||||
Authorization: Bearer your-api-key-from-dashboard
|
||||
```
|
||||
|
||||
**Body:**
|
||||
```json
|
||||
{
|
||||
"model": "cc/claude-sonnet-4-20250514",
|
||||
"messages": [
|
||||
{"role": "user", "content": "Hello, how are you?"}
|
||||
],
|
||||
"temperature": 0.7,
|
||||
"max_tokens": 1000
|
||||
}
|
||||
```
|
||||
|
||||
### LangChain Integration
|
||||
|
||||
```python
|
||||
from langchain.chat_models import ChatOpenAI
|
||||
from langchain.schema import HumanMessage
|
||||
|
||||
llm = ChatOpenAI(
|
||||
model_name="cc/claude-sonnet-4-20250514",
|
||||
openai_api_key="your-api-key-from-dashboard",
|
||||
openai_api_base="http://localhost:20128/v1",
|
||||
temperature=0.7
|
||||
)
|
||||
|
||||
messages = [HumanMessage(content="Explain quantum computing")]
|
||||
response = llm(messages)
|
||||
print(response.content)
|
||||
```
|
||||
|
||||
### LlamaIndex Integration
|
||||
|
||||
```python
|
||||
from llama_index.llms import OpenAI
|
||||
|
||||
llm = OpenAI(
|
||||
model="cc/claude-sonnet-4-20250514",
|
||||
api_key="your-api-key-from-dashboard",
|
||||
api_base="http://localhost:20128/v1"
|
||||
)
|
||||
|
||||
response = llm.complete("What is machine learning?")
|
||||
print(response.text)
|
||||
```
|
||||
|
||||
## Custom Script Examples
|
||||
|
||||
### Batch Processing Script
|
||||
|
||||
```python
|
||||
import openai
|
||||
import json
|
||||
|
||||
openai.api_key = "your-api-key-from-dashboard"
|
||||
openai.api_base = "http://localhost:20128/v1"
|
||||
|
||||
def process_batch(prompts, model="cx/deepseek-chat"):
|
||||
results = []
|
||||
for prompt in prompts:
|
||||
response = openai.ChatCompletion.create(
|
||||
model=model,
|
||||
messages=[{"role": "user", "content": prompt}]
|
||||
)
|
||||
results.append({
|
||||
"prompt": prompt,
|
||||
"response": response.choices[0].message.content
|
||||
})
|
||||
return results
|
||||
|
||||
prompts = [
|
||||
"Explain AI in one sentence",
|
||||
"What is machine learning?",
|
||||
"Define neural networks"
|
||||
]
|
||||
|
||||
results = process_batch(prompts)
|
||||
print(json.dumps(results, indent=2))
|
||||
```
|
||||
|
||||
### Streaming Response Handler
|
||||
|
||||
```javascript
|
||||
import OpenAI from "openai";
|
||||
|
||||
const client = new OpenAI({
|
||||
apiKey: "your-api-key-from-dashboard",
|
||||
baseURL: "http://localhost:20128/v1"
|
||||
});
|
||||
|
||||
async function streamResponse(prompt) {
|
||||
const stream = await client.chat.completions.create({
|
||||
model: "cc/claude-sonnet-4-20250514",
|
||||
messages: [{ role: "user", content: prompt }],
|
||||
stream: true
|
||||
});
|
||||
|
||||
for await (const chunk of stream) {
|
||||
const content = chunk.choices[0]?.delta?.content || "";
|
||||
process.stdout.write(content);
|
||||
}
|
||||
}
|
||||
|
||||
streamResponse("Write a short story about AI");
|
||||
```
|
||||
|
||||
### Multi-Model Comparison
|
||||
|
||||
```python
|
||||
from openai import OpenAI
|
||||
|
||||
client = OpenAI(
|
||||
api_key="your-api-key-from-dashboard",
|
||||
base_url="http://localhost:20128/v1"
|
||||
)
|
||||
|
||||
models = [
|
||||
"cc/claude-sonnet-4-20250514",
|
||||
"cx/deepseek-chat",
|
||||
"glm/glm-4-plus"
|
||||
]
|
||||
|
||||
prompt = "Explain quantum computing in simple terms"
|
||||
|
||||
for model in models:
|
||||
response = client.chat.completions.create(
|
||||
model=model,
|
||||
messages=[{"role": "user", "content": prompt}]
|
||||
)
|
||||
print(f"\n=== {model} ===")
|
||||
print(response.choices[0].message.content)
|
||||
```
|
||||
|
||||
## Common Integration Patterns
|
||||
|
||||
### Environment Variables
|
||||
|
||||
Store credentials securely:
|
||||
|
||||
```bash
|
||||
# .env file
|
||||
ROUTER_API_KEY=your-api-key-from-dashboard
|
||||
ROUTER_BASE_URL=http://localhost:20128/v1
|
||||
ROUTER_MODEL=cc/claude-sonnet-4-20250514
|
||||
```
|
||||
|
||||
```python
|
||||
import os
|
||||
from openai import OpenAI
|
||||
|
||||
client = OpenAI(
|
||||
api_key=os.getenv("ROUTER_API_KEY"),
|
||||
base_url=os.getenv("ROUTER_BASE_URL")
|
||||
)
|
||||
```
|
||||
|
||||
### Error Handling
|
||||
|
||||
```python
|
||||
from openai import OpenAI, OpenAIError
|
||||
|
||||
client = OpenAI(
|
||||
api_key="your-api-key",
|
||||
base_url="http://localhost:20128/v1"
|
||||
)
|
||||
|
||||
try:
|
||||
response = client.chat.completions.create(
|
||||
model="cc/claude-sonnet-4-20250514",
|
||||
messages=[{"role": "user", "content": "Hello"}]
|
||||
)
|
||||
print(response.choices[0].message.content)
|
||||
except OpenAIError as e:
|
||||
print(f"Error: {e}")
|
||||
```
|
||||
|
||||
### Retry Logic
|
||||
|
||||
```python
|
||||
import time
|
||||
from openai import OpenAI, RateLimitError
|
||||
|
||||
client = OpenAI(
|
||||
api_key="your-api-key",
|
||||
base_url="http://localhost:20128/v1"
|
||||
)
|
||||
|
||||
def chat_with_retry(prompt, max_retries=3):
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
response = client.chat.completions.create(
|
||||
model="cc/claude-sonnet-4-20250514",
|
||||
messages=[{"role": "user", "content": prompt}]
|
||||
)
|
||||
return response.choices[0].message.content
|
||||
except RateLimitError:
|
||||
if attempt < max_retries - 1:
|
||||
time.sleep(2 ** attempt) # Exponential backoff
|
||||
else:
|
||||
raise
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Connection Issues
|
||||
|
||||
**Problem:** Cannot connect to 9Router
|
||||
```bash
|
||||
# Check if 9Router is running
|
||||
curl http://localhost:20128/health
|
||||
|
||||
# Expected response:
|
||||
{"status": "ok"}
|
||||
```
|
||||
|
||||
**Solution:**
|
||||
- Verify 9Router is running
|
||||
- Check port 20128 is not blocked
|
||||
- Ensure correct base URL (include `/v1`)
|
||||
|
||||
### Authentication Errors
|
||||
|
||||
**Problem:** 401 Unauthorized
|
||||
```
|
||||
Error: Invalid API key
|
||||
```
|
||||
|
||||
**Solution:**
|
||||
- Verify API key from dashboard
|
||||
- Check Authorization header format: `Bearer your-api-key`
|
||||
- Ensure no extra spaces or newlines in API key
|
||||
|
||||
### Model Not Found
|
||||
|
||||
**Problem:** 404 Model not found
|
||||
```
|
||||
Error: Model 'cc/claude-opus' not found
|
||||
```
|
||||
|
||||
**Solution:**
|
||||
- Use exact model name (case-sensitive)
|
||||
- Check available models: `curl http://localhost:20128/v1/models`
|
||||
- Verify model is enabled in your plan
|
||||
|
||||
### Timeout Issues
|
||||
|
||||
**Problem:** Request timeout
|
||||
```
|
||||
Error: Request timed out after 30s
|
||||
```
|
||||
|
||||
**Solution:**
|
||||
- Increase timeout in client configuration
|
||||
- Use faster models for time-sensitive tasks
|
||||
- Check network connection to 9Router
|
||||
|
||||
### Rate Limiting
|
||||
|
||||
**Problem:** 429 Too Many Requests
|
||||
```
|
||||
Error: Rate limit exceeded
|
||||
```
|
||||
|
||||
**Solution:**
|
||||
- Implement exponential backoff
|
||||
- Reduce request frequency
|
||||
- Check rate limits in dashboard
|
||||
- Consider upgrading plan
|
||||
|
||||
## Best Practices
|
||||
|
||||
### Security
|
||||
- Store API keys in environment variables
|
||||
- Never commit API keys to version control
|
||||
- Use HTTPS for cloud deployments
|
||||
- Rotate API keys regularly
|
||||
|
||||
### Performance
|
||||
- Use appropriate models for task complexity
|
||||
- Implement caching for repeated queries
|
||||
- Use streaming for long responses
|
||||
- Batch requests when possible
|
||||
|
||||
### Error Handling
|
||||
- Always implement try-catch blocks
|
||||
- Add retry logic with exponential backoff
|
||||
- Log errors for debugging
|
||||
- Provide fallback mechanisms
|
||||
|
||||
### Cost Optimization
|
||||
- Choose cost-effective models for simple tasks
|
||||
- Cache responses when appropriate
|
||||
- Monitor usage in dashboard
|
||||
- Set request limits in code
|
||||
|
||||
## Next Steps
|
||||
|
||||
- [Configure Cursor](cursor.md) for IDE integration
|
||||
- [Set up Continue](continue.md) for VSCode
|
||||
- [Explore CLI usage](../cli/basic-usage.md)
|
||||
- [Learn about model selection](../models/overview.md)
|
||||
- [API Reference](../api/reference.md)
|
||||
127
gitbook/content/en/integration/roo.md
Normal file
127
gitbook/content/en/integration/roo.md
Normal file
@@ -0,0 +1,127 @@
|
||||
# Roo AI Assistant Integration
|
||||
|
||||
Integrate 9Router with Roo AI Assistant to access multiple AI models through a unified interface.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- Roo AI Assistant installed
|
||||
- 9Router API key from [dashboard](https://9router.com/dashboard)
|
||||
- 9Router running (local or cloud)
|
||||
|
||||
## Configuration Steps
|
||||
|
||||
### 1. Open Roo Settings
|
||||
|
||||
Launch Roo AI Assistant and open the settings panel.
|
||||
|
||||
### 2. Configure API Provider
|
||||
|
||||
1. Navigate to **API Provider** settings
|
||||
2. Select **Ollama** as the provider type
|
||||
3. Configure the following settings:
|
||||
|
||||
**For Local 9Router:**
|
||||
```
|
||||
Base URL: http://localhost:20128/v1
|
||||
API Key: your-api-key-from-dashboard
|
||||
```
|
||||
|
||||
**For Cloud 9Router:**
|
||||
```
|
||||
Base URL: https://9router.com/v1
|
||||
API Key: your-api-key-from-dashboard
|
||||
```
|
||||
|
||||
### 3. Select Model
|
||||
|
||||
Choose from available 9Router models:
|
||||
|
||||
**Claude Models:**
|
||||
- `cc/claude-opus-4-5-20251101` - Most capable
|
||||
- `cc/claude-sonnet-4-20250514` - Balanced
|
||||
- `cc/claude-haiku-4-20250514` - Fast
|
||||
|
||||
**DeepSeek Models:**
|
||||
- `cx/deepseek-chat` - General purpose
|
||||
- `cx/deepseek-reasoner` - Complex reasoning
|
||||
|
||||
**GLM Models:**
|
||||
- `glm/glm-4-plus` - Advanced
|
||||
- `glm/glm-4-flash` - Fast responses
|
||||
|
||||
### 4. Test Connection
|
||||
|
||||
Send a test message to verify the integration:
|
||||
|
||||
```
|
||||
Hello! Can you confirm you're connected through 9Router?
|
||||
```
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Basic Chat
|
||||
```
|
||||
Ask Roo: "Explain quantum computing in simple terms"
|
||||
Model: cc/claude-sonnet-4-20250514
|
||||
```
|
||||
|
||||
### Code Generation
|
||||
```
|
||||
Ask Roo: "Write a Python function to calculate Fibonacci numbers"
|
||||
Model: cx/deepseek-chat
|
||||
```
|
||||
|
||||
### Complex Reasoning
|
||||
```
|
||||
Ask Roo: "Analyze the trade-offs between microservices and monolithic architecture"
|
||||
Model: cx/deepseek-reasoner
|
||||
```
|
||||
|
||||
## Model Selection Tips
|
||||
|
||||
- **Quick tasks**: Use `cc/claude-haiku-4-20250514` or `glm/glm-4-flash`
|
||||
- **Balanced performance**: Use `cc/claude-sonnet-4-20250514` or `cx/deepseek-chat`
|
||||
- **Complex reasoning**: Use `cc/claude-opus-4-5-20251101` or `cx/deepseek-reasoner`
|
||||
- **Cost optimization**: Use DeepSeek or GLM models
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Connection Failed
|
||||
- Verify 9Router is running: `curl http://localhost:20128/health`
|
||||
- Check API key is correct
|
||||
- Ensure Base URL includes `/v1` suffix
|
||||
|
||||
### Model Not Available
|
||||
- Check model name matches exactly (case-sensitive)
|
||||
- Verify model is enabled in your 9Router plan
|
||||
- Try a different model from the list
|
||||
|
||||
### Slow Responses
|
||||
- Switch to faster models (haiku, flash)
|
||||
- Check network connection
|
||||
- Monitor 9Router logs for issues
|
||||
|
||||
## Advanced Configuration
|
||||
|
||||
### Custom Model Aliases
|
||||
|
||||
You can create shortcuts for frequently used models in Roo settings:
|
||||
|
||||
```
|
||||
Alias: "fast" → cc/claude-haiku-4-20250514
|
||||
Alias: "smart" → cc/claude-opus-4-5-20251101
|
||||
Alias: "code" → cx/deepseek-chat
|
||||
```
|
||||
|
||||
### Multiple Profiles
|
||||
|
||||
Set up different profiles for different use cases:
|
||||
- **Development**: DeepSeek models for code
|
||||
- **Writing**: Claude models for content
|
||||
- **Research**: Reasoner models for analysis
|
||||
|
||||
## Next Steps
|
||||
|
||||
- [Configure Cursor](cursor.md) for IDE integration
|
||||
- [Set up Continue](continue.md) for VSCode
|
||||
- [Explore CLI usage](../cli/basic-usage.md)
|
||||
Reference in New Issue
Block a user