> ## Documentation Index > Fetch the complete documentation index at: https://docs.pipeshub.com/llms.txt > Use this file to discover all available pages before exploring further. # x.ai Grok > Configure PipesHub Workplace AI to use different x.ai Grok models # x.ai Grok Configuration x.ai Grok Configuration Interface *The x.ai Grok configuration screen in PipesHub where you'll enter your API Key and Model Name* PipesHub allows you to integrate with x.ai to enable sophisticated AI features in your workspace, accessing Grok's powerful large language models optimized for high-performance agentic tool calling. ## Required Fields ### API Key \* The API Key is required to authenticate your requests to x.ai services. **How to obtain an API Key:** 1. Log in to the [x.ai Console](https://console.x.ai/) 2. Navigate to the API Keys section 3. Click on "Create new key" or use an existing key 4. Copy the generated API key **Security Note:** Your API key should be kept secure and never shared publicly. PipesHub securely stores your API key and uses it only for authenticating requests to x.ai services. ### Model Name \* The Model Name field defines which x.ai Grok model you want to use with PipesHub. **Available x.ai Grok models:** * `grok-3-latest` - Grok 3: x.ai's flagship multimodal model optimized for high-performance agentic tool calling * `grok-3-mini-latest` - Grok 3 Mini: A lighter, faster option for cost-effective use cases **How to choose a model:** * For tasks requiring complex reasoning and maximum capability, select `grok-3-latest` * For faster, more cost-effective responses, select `grok-3-mini-latest` * Check x.ai's [model documentation](https://docs.x.ai/docs) for the most up-to-date options ## Optional Fields ### Context Length Specify the maximum context window for your model. x.ai Grok models typically support large context windows for handling extensive conversations and documents. **Context length examples:** * Grok 4.1 Fast models: Check x.ai documentation for specific context window limits ### Multimodal Support x.ai Grok models support multimodal capabilities, enabling both text and image processing. Enable this option if you want to use image understanding features in your application. ### Reasoning Enable this option if your selected model supports advanced reasoning capabilities. This allows for deeper chain-of-thought analysis and complex problem-solving. ## Configuration Steps As shown in the image above: 1. Click **Configure** on the xAI provider card 2. Enter your x.ai API Key in the designated field (marked with \*) 3. Specify your desired Model Name (marked with \*) 4. (Optional) Configure the Context Length for your use case 5. (Optional) Enable Multimodal support if needed 6. (Optional) Enable Reasoning if your model supports it 7. Click **Add Model** to save and validate your credentials > Both the API Key and Model Name are required fields to successfully configure x.ai Grok integration. ## Usage Considerations * API usage will count against your x.ai API quota and billing * Different models have different pricing - check x.ai's pricing page for details * Model capabilities vary - reasoning models provide deeper analysis but may have higher latency * x.ai Grok provides: * High-performance agentic tool calling capabilities * Advanced reasoning for complex problem-solving (reasoning variant) * Multimodal understanding (text and images) * Optimized for fast responses and efficient workflows * Frontier-class model performance ## Troubleshooting * If you encounter authentication errors, verify your API key is correct and has not expired * Ensure your x.ai account has billing set up if you're using paid service tiers * Check that the model name is spelled correctly and available * Verify that your API key has access to the specific model you've selected * If you're experiencing rate limits, check your API usage in the x.ai Console dashboard * For multimodal features, ensure your model supports image inputs * If using reasoning features, verify that your selected model supports reasoning mode For additional support, refer to the [x.ai documentation](https://docs.x.ai/) or contact PipesHub support.