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Documentation Index

Fetch the complete documentation index at: https://docs.kontext21.com/llms.txt

Use this file to discover all available pages before exploring further.

Use this when you want X21 to call your Azure OpenAI deployment instead of the default provider.

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Before you start

Have these values ready:
  • Endpoint (Azure OpenAI resource URL)
  • API key (from Azure Portal → Keys and Endpoint)
  • Deployment name (the deployment name you created in Azure)
  • Model (the underlying model, e.g., gpt-5.2)
  • Reasoning effort (optional)

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Important: API compatibility

X21 uses the OpenAI Responses API format, which requires:
  • GPT-5.x or newer models
  • Azure endpoints that support /openai/v1/responses
  • API version 2024-08-01-preview or later
If your Azure OpenAI endpoint doesn’t support the Responses API, you may see connection errors. Standard Azure OpenAI endpoints (*.openai.azure.com) typically support this API.

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Configure in the app (recommended)

  1. Open X21 in Excel and click Settings (gear icon).
  2. Under Azure OpenAI, enable Use custom endpoint and API key.
  3. Enter:
    • Endpoint
    • API key
    • Deployment Name
    • Model
    • Reasoning effort (optional)
  4. (Optional) Click Test Connection to verify the configuration.
  5. Click Save. X21 reloads the configuration automatically.
Azure OpenAI settings dialog

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Settings reference

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What each setting means

  • Use custom endpoint and API key: Turns on Azure OpenAI for X21 using the values below (instead of the default provider).
  • Endpoint: The base URL of your Azure OpenAI resource (no /openai/... path). Example: https://your-resource.openai.azure.com
  • API key: A key from your Azure OpenAI resource in the Azure Portal (under Keys and Endpoint).
  • Deployment Name: The name of the deployment you created in Azure Portal. This is what you see under “Deployments” in your Azure OpenAI resource (e.g., aihub-gpt-5.2, my-deployment).
  • Model: The underlying model that your deployment uses (e.g., gpt-5.2, gpt-4.1). If unsure, this often matches your deployment name.
  • Reasoning effort: Controls how much reasoning the model can use. Higher can improve results but may be slower and cost more. Options: Low, Medium, High.

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Find the Azure values

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In Azure Portal

  1. Navigate to your Azure OpenAI resource
  2. Go to Keys and Endpoint:
    • Endpoint: Copy the endpoint URL (e.g., https://your-resource.openai.azure.com/)
    • API key: Copy Key 1 or Key 2
  3. Go to Deployments:
    • Deployment Name: The name you created (e.g., gpt-5-deployment)
    • Model: The model shown next to your deployment (e.g., gpt-5.2)

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Endpoint format

X21 will append /openai/v1/responses to your endpoint, so you only need the base URL:
  • ✓ Correct: https://your-resource.openai.azure.com
  • ✗ Wrong: https://your-resource.openai.azure.com/openai/v1/

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What gets logged

X21 logs comprehensive information about Azure OpenAI connections:
  • Configuration loading (endpoint, deployment, model)
  • Client creation with full URL paths
  • API call parameters (model, reasoning settings, token limits)
  • Connection attempts with detailed error causes
  • Troubleshooting tips for common issues
All logs use emoji prefixes for easy scanning:
  • ✓ Success operations
  • 📖 Configuration reads
  • 💾 Configuration saves
  • 📡 API calls
  • ❌ Errors with detailed context

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Test that it is working

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Quick test (in Settings)

  1. In the Settings dialog, after entering your Azure OpenAI details, click Test Connection.
  2. Check for a success message showing your model name.
  3. Check your browser console (F12) for detailed connection information.

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End-to-end test (in Excel)

  1. Open the X21 chat and send: Reply with the word OK.
  2. Confirm the response returns OK.

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If it fails

Check the log file: %LOCALAPPDATA%\X21\X21-deno\Logs\deno-<machine>.log Look for:
  • ✓ Azure OpenAI config loaded from database - Configuration loaded successfully
  • ✓ Creating Azure OpenAI Responses API client - Client created with your endpoint
  • 📡 Calling Azure OpenAI Responses API - Actual API call being made
  • Any error messages with troubleshooting tips

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Troubleshooting

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DNS or network errors

Error: dns error: No such host is known or Connection error Solutions:
  1. VPN Required: Internal endpoints (like *.internal domains) typically require VPN connection. Connect to your corporate VPN and retry.
  2. Verify Hostname: Double-check the endpoint URL is correct.
  3. Test DNS: Run nslookup your-endpoint-url in PowerShell to verify DNS resolution.
  4. Use Standard Azure: If using an internal endpoint, try a standard Azure OpenAI endpoint instead: https://your-resource.openai.azure.com

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API version or path errors

Error: Connection starts but fails during streaming Solutions:
  1. Check API Support: Your endpoint must support the Responses API (/openai/v1/responses).
  2. Verify Endpoint: Standard Azure OpenAI endpoints (*.openai.azure.com) support this API.
  3. Internal Endpoints: Custom or internal endpoints may not support the Responses API format.

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Authentication errors

Error: 401 Unauthorized or 403 Forbidden Solutions:
  1. Verify your API key is correct (copy from Azure Portal → Keys and Endpoint).
  2. Check the API key hasn’t expired.
  3. Ensure the API key has permissions for your deployment.

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Deployment not found

Error: Deployment name mismatch Solutions:
  1. Verify the deployment name matches exactly what’s shown in Azure Portal → Deployments.
  2. Check that the model you’re requesting is available in your deployment.
  3. Deployment names are case-sensitive.