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Cloudflare Workers AI

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Cloudflare Workers AI

This provider supports the models provided by Cloudflare Workers AI, a serverless edge inference platform that runs AI models closer to users for low-latency responses.

The provider uses Cloudflare's OpenAI-compatible API endpoints, making it easy to migrate between OpenAI and Cloudflare AI or use them interchangeably.

Required Configuration

Set your Cloudflare account ID and API key as environment variables:

sh
export CLOUDFLARE_ACCOUNT_ID=your_account_id_here
export CLOUDFLARE_API_KEY=your_api_key_here

The Cloudflare account ID is not secret and can be included in your promptfoo configuration file. The API key is secret, so use environment variables instead of hardcoding it in config files.

yaml
prompts:
  - Tell me a funny joke about {{topic}}

providers:
  - id: cloudflare-ai:chat:@cf/openai/gpt-oss-120b
    config:
      accountId: your_account_id_here
      # API key is loaded from CLOUDFLARE_API_KEY environment variable

tests:
  - vars:
      topic: programming
    assert:
      - type: icontains
        value: '{{topic}}'

Alternative Environment Variable Names

Use custom environment variable names with apiKeyEnvar and accountIdEnvar:

yaml
providers:
  - id: cloudflare-ai:chat:@cf/qwen/qwen2.5-coder-32b-instruct
    config:
      accountId: your_account_id_here
      apiKeyEnvar: CUSTOM_CLOUDFLARE_KEY
      accountIdEnvar: CUSTOM_CLOUDFLARE_ACCOUNT

OpenAI Compatibility

This provider leverages Cloudflare's OpenAI-compatible endpoints:

  • Chat completions: https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/chat/completions
  • Text completions: https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/completions
  • Embeddings: https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/embeddings

All standard OpenAI parameters work with Cloudflare AI models: temperature, max_tokens, top_p, frequency_penalty, and presence_penalty. Many newer models also support advanced capabilities like function calling, batch processing, and multimodal inputs.

Provider Types

The Cloudflare AI provider supports three different provider types:

Chat Completion

For conversational AI and instruction-following models:

yaml
providers:
  - cloudflare-ai:chat:@cf/openai/gpt-oss-120b
  - cloudflare-ai:chat:@cf/meta/llama-4-scout-17b-16e-instruct
  - cloudflare-ai:chat:@cf/mistralai/mistral-small-3.1-24b-instruct

Text Completion

For completion-style tasks:

yaml
providers:
  - cloudflare-ai:completion:@cf/qwen/qwen2.5-coder-32b-instruct
  - cloudflare-ai:completion:@cf/microsoft/phi-2

Embeddings

For generating text embeddings:

yaml
providers:
  - cloudflare-ai:embedding:@cf/google/embeddinggemma-300m
  - cloudflare-ai:embedding:@cf/baai/bge-large-en-v1.5

Current Model Examples

Here are some of the latest models available on Cloudflare Workers AI:

State-of-the-Art Models (2025)

Latest OpenAI Models:

  • @cf/openai/gpt-oss-120b - OpenAI's production, general purpose, high reasoning model
  • @cf/openai/gpt-oss-20b - OpenAI's lower latency model for specialized use-cases

Advanced Multimodal Models:

  • @cf/meta/llama-4-scout-17b-16e-instruct - Meta's Llama 4 Scout with native multimodal capabilities and mixture-of-experts architecture
  • @cf/meta/llama-3.3-70b-instruct-fp8-fast - Llama 3.3 70B optimized for speed with fp8 quantization
  • @cf/meta/llama-3.2-11b-vision-instruct - Optimized for visual recognition and image reasoning

Enhanced Reasoning & Problem Solving:

  • @cf/deepseek-ai/deepseek-r1-distill-qwen-32b - Advanced reasoning model distilled from DeepSeek R1
  • @cf/qwen/qwq-32b - Medium-sized reasoning model competitive with o1-mini

Code Generation:

  • @cf/qwen/qwen2.5-coder-32b-instruct - Current state-of-the-art open-source code model

Advanced Language Models:

  • @cf/mistralai/mistral-small-3.1-24b-instruct - MistralAI's model with enhanced vision understanding and 128K context
  • @cf/google/gemma-3-12b-it - Latest Gemma model with 128K context and multilingual support
  • @hf/nousresearch/hermes-2-pro-mistral-7b - Function calling and JSON mode support

High-Quality Embeddings:

  • @cf/google/embeddinggemma-300m - Google's state-of-the-art embedding model trained on 100+ languages

:::tip

Cloudflare is constantly adding new models. See their official model catalog for the complete list of available models.

:::

Configuration Examples

Basic Chat Configuration

yaml
providers:
  - id: cloudflare-ai:chat:@cf/deepseek-ai/deepseek-r1-distill-qwen-32b
    config:
      accountId: your_account_id_here
      temperature: 0.7
      max_tokens: 1000

Advanced Configuration with Multiple Models

yaml
providers:
  - id: cloudflare-ai:chat:@cf/meta/llama-4-scout-17b-16e-instruct
    config:
      accountId: your_account_id_here
      temperature: 0.8
      max_tokens: 500
      top_p: 0.9
      frequency_penalty: 0.1
      presence_penalty: 0.1

  - id: cloudflare-ai:completion:@cf/qwen/qwen2.5-coder-32b-instruct
    config:
      accountId: your_account_id_here
      temperature: 0.2
      max_tokens: 2000

Embedding Configuration

yaml
providers:
  - id: cloudflare-ai:embedding:@cf/google/embeddinggemma-300m
    config:
      accountId: your_account_id_here

Custom API Base URL

Override the default API base URL for custom deployments or specific regions:

yaml
providers:
  - id: cloudflare-ai:chat:@cf/openai/gpt-oss-120b
    config:
      accountId: your_account_id_here
      apiBaseUrl: https://api.cloudflare.com/client/v4/accounts/your_account_id/ai/v1

See Also