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Custom providers let you connect to additional LLM providers beyond the built-in options, including DeepSeek, Grok, and more!

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Setting Up a Custom Provider

To add a custom provider to your workspace:
  1. Navigate to Settings → Custom Providers and Models
  2. Click the Add Custom Provider button
  3. Configure the provider with the following details:
    • Name: A descriptive name for your provider (e.g., “DeepSeek”)
    • Client: Select the appropriate client type for your provider’s base URL
    • Base URL: The endpoint URL for your custom provider
    • API Key
Custom Provider Modal

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Creating Custom Models

Once your provider is configured, you can define models for it:
  1. In Settings → Custom Providers and Models, click on your custom provider row to expand it
  2. Click Create Custom Model
  3. Fill in the model configuration:
    • Provider: Select the custom provider you created earlier
    • Model Name: Choose from known models or enter a custom identifier
    • Display Name: A friendly name that appears in the prompt playground
    • Model Type: Specify whether this is a Chat or Completion model
Custom Provider New Model

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Using Custom Models

After setup, your custom models seamlessly integrate with PromptLayer’s features. You can:
  • Select them in the Playground alongside standard models
  • Use them in the Prompt Editor for template creation
  • Track requests and analyze performance just like any other model
Custom Provider Use Custom providers give you complete control over your model infrastructure while maintaining all the benefits of PromptLayer’s prompt management and observability features.

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Example Integrations

Looking for specific integration guides? See our detailed setup instructions for OpenRouter, Exa, and xAI (Grok). Follow the steps above to configure any OpenAI-compatible provider as a custom provider in PromptLayer.