Vercel AI Gateway

Vercel AI Gateway provides a unified interface to access AI models from 20+ providers through a single API. This provider uses the official Vercel AI SDK.

Setup

1. Enable AI Gateway in your Vercel Dashboard
2. Get your API key from the AI Gateway settings
3. Set the VERCEL_AI_GATEWAY_API_KEY environment variable or specify apiKey in your config

export VERCEL_AI_GATEWAY_API_KEY=your_api_key_here

Usage

Provider Format

The Vercel provider uses the format: vercel:<provider>/<model>

providers:
  - vercel:openai/gpt-4o-mini
  - vercel:anthropic/claude-sonnet-4.5
  - vercel:google/gemini-2.5-flash

Embedding Models

For embedding models, use the embedding: prefix:

providers:
  - vercel:embedding:openai/text-embedding-3-small

Configuration

Basic Configuration

promptfooconfig.yaml

providers:
  - id: vercel:openai/gpt-4o-mini
    config:
      temperature: 0.7
      maxTokens: 1000

Full Configuration Options

promptfooconfig.yaml

providers:
  - id: vercel:anthropic/claude-sonnet-4.5
    config:
      # Authentication
      apiKey: ${VERCEL_AI_GATEWAY_API_KEY}
      apiKeyEnvar: CUSTOM_API_KEY_VAR # Use a custom env var name

      # Model settings
      temperature: 0.7
      maxTokens: 2000
      topP: 0.9
      topK: 40
      frequencyPenalty: 0.5
      presencePenalty: 0.3
      stopSequences:
        - '\n\n'

      # Request settings
      timeout: 60000
      headers:
        Custom-Header: 'value'

      # Streaming
      streaming: true

Configuration Parameters

Parameter	Type	Description
apiKey	string	Vercel AI Gateway API key
apiKeyEnvar	string	Custom environment variable name for API key
temperature	number	Controls randomness (0.0 to 1.0)
maxTokens	number	Maximum number of tokens to generate
topP	number	Nucleus sampling parameter
topK	number	Top-k sampling parameter
frequencyPenalty	number	Penalizes frequent tokens
presencePenalty	number	Penalizes tokens based on presence
stopSequences	string[]	Sequences where generation stops
timeout	number	Request timeout in milliseconds
headers	object	Additional HTTP headers
streaming	boolean	Enable streaming responses
responseSchema	object	JSON schema for structured output
baseUrl	string	Override the AI Gateway base URL

Structured Output

Generate structured JSON output by providing a JSON schema:

promptfooconfig.yaml

providers:
  - id: vercel:openai/gpt-4o
    config:
      responseSchema:
        type: object
        properties:
          sentiment:
            type: string
            enum: [positive, negative, neutral]
          confidence:
            type: number
          keywords:
            type: array
            items:
              type: string
        required:
          - sentiment
          - confidence

prompts:
  - 'Analyze the sentiment of this text: {{text}}'

tests:
  - vars:
      text: 'I love this product!'
    assert:
      - type: javascript
        value: output.sentiment === 'positive'

Streaming

Enable streaming for real-time responses:

promptfooconfig.yaml

providers:
  - id: vercel:anthropic/claude-sonnet-4.5
    config:
      streaming: true
      maxTokens: 2000

Supported Providers

The Vercel AI Gateway supports models from these providers:

Provider	Example Models
OpenAI	openai/gpt-5, openai/o3-mini, openai/gpt-4o-mini
Anthropic	anthropic/claude-sonnet-4.5, anthropic/claude-haiku-4.5
Google	google/gemini-2.5-flash, google/gemini-2.5-pro
Mistral	mistral/mistral-large, mistral/magistral-medium
Cohere	cohere/command-a
DeepSeek	deepseek/deepseek-r1, deepseek/deepseek-v3
Perplexity	perplexity/sonar-pro, perplexity/sonar-reasoning
xAI	xai/grok-3, xai/grok-4

For a complete list, see the Vercel AI Gateway documentation.

Embedding Models

Generate embeddings for text similarity, search, and RAG applications:

promptfooconfig.yaml

providers:
  - vercel:embedding:openai/text-embedding-3-small

prompts:
  - 'Generate embedding for: {{text}}'

tests:
  - vars:
      text: 'Hello world'
    assert:
      - type: is-valid-embedding

Supported embedding models:

Provider	Example Models
OpenAI	openai/text-embedding-3-small, openai/text-embedding-3-large
Google	google/gemini-embedding-001, google/text-embedding-005
Cohere	cohere/embed-v4.0
Voyage	voyage/voyage-3.5, voyage/voyage-code-3

Examples

Multi-Provider Comparison

promptfooconfig.yaml

providers:
  - id: vercel:openai/gpt-4o-mini
    config:
      temperature: 0.7
  - id: vercel:anthropic/claude-sonnet-4.5
    config:
      temperature: 0.7
  - id: vercel:google/gemini-2.5-flash
    config:
      temperature: 0.7

prompts:
  - 'Explain {{concept}} in simple terms'

tests:
  - vars:
      concept: 'quantum computing'
    assert:
      - type: llm-rubric
        value: 'The response should be easy to understand'

JSON Response with Validation

promptfooconfig.yaml

providers:
  - id: vercel:openai/gpt-4o
    config:
      responseSchema:
        type: object
        properties:
          summary:
            type: string
          topics:
            type: array
            items:
              type: string
          wordCount:
            type: integer
        required:
          - summary
          - topics

prompts:
  - 'Analyze this article and return a structured summary: {{article}}'

tests:
  - vars:
      article: 'Long article text...'
    assert:
      - type: javascript
        value: 'Array.isArray(output.topics) && output.topics.length > 0'

Environment Variables

Variable	Description
VERCEL_AI_GATEWAY_API_KEY	API key for AI Gateway
VERCEL_AI_GATEWAY_BASE_URL	Override the AI Gateway URL

Troubleshooting

Common Issues

1. Authentication Failed: Ensure your VERCEL_AI_GATEWAY_API_KEY is set correctly
2. Model Not Found: Check that the provider/model combination is supported
3. Request Timeout: Increase the timeout configuration value

Debug Mode

Enable debug logging to see detailed request/response information:

LOG_LEVEL=debug promptfoo eval

Related Links

• Vercel AI SDK Documentation
• Vercel AI Gateway
• Supported Providers
• promptfoo Provider Guide