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# provider-cloudflare (Cloudflare)
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Examples for using promptfoo with Cloudflare AI services.
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## Examples
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- [ai](./ai/) - Cloudflare Workers AI native models (Llama, GPT-OSS, etc.)
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- [gateway](./gateway/) - Cloudflare AI Gateway proxy for OpenAI, Anthropic, Groq, etc.
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# provider-cloudflare/ai (Cloudflare Workers AI)
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Cloudflare Workers AI evaluation with OpenAI-compatible endpoints.
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## Quick Start
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You can run this example with:
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```bash
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npx promptfoo@latest init --example provider-cloudflare/ai
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cd provider-cloudflare/ai
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```
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## Environment Variables
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This example requires the following environment variables:
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- `CLOUDFLARE_ACCOUNT_ID` - Your Cloudflare account ID (found in your Cloudflare dashboard)
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- `CLOUDFLARE_API_KEY` - Your Cloudflare API key with Workers AI permissions
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Set these in your environment:
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```bash
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export CLOUDFLARE_ACCOUNT_ID=your_account_id_here
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export CLOUDFLARE_API_KEY=your_api_key_here
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```
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## Example Configurations
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### Basic Usage (`chat_config.yaml`)
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Compares the latest flagship chat models:
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- `cloudflare-ai:chat:@cf/openai/gpt-oss-120b` - OpenAI's production, general purpose, high reasoning model
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- `cloudflare-ai:chat:@cf/meta/llama-4-scout-17b-16e-instruct` - Meta's Llama 4 Scout with native multimodal capabilities
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### Advanced Configuration (`chat_advanced_configuration.yaml`)
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Demonstrates OpenAI-compatible parameters with Cloudflare AI:
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- Uses `@cf/mistralai/mistral-small-3.1-24b-instruct` (enhanced vision understanding and 128K context)
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- Custom `max_tokens`, `temperature`, `seed` parameters
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- Environment variable configuration patterns
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### Embedding Configuration (`embedding_configuration.yaml`)
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Shows embedding generation and similarity testing:
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- Chat: `@cf/meta/llama-3.3-70b-instruct-fp8-fast` (optimized 70B model with fp8 quantization)
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- Embedding: `@cf/google/embeddinggemma-300m` (state-of-the-art embedding model trained on 100+ languages)
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- Similarity assertion testing with configurable thresholds
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## Provider Types
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Cloudflare AI supports three provider types:
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1. **Chat**: `cloudflare-ai:chat:model-name` - Conversational AI and instruction following
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2. **Completion**: `cloudflare-ai:completion:model-name` - Text completion and generation
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3. **Embedding**: `cloudflare-ai:embedding:model-name` - Text embeddings for similarity and search
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## Featured Models (2025)
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This example showcases the latest flagship models:
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- **OpenAI GPT-OSS-120B** (`@cf/openai/gpt-oss-120b`) - Production-ready, high reasoning capabilities
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- **Meta Llama 4 Scout** (`@cf/meta/llama-4-scout-17b-16e-instruct`) - Multimodal with mixture-of-experts
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- **Meta Llama 3.3 70B Fast** (`@cf/meta/llama-3.3-70b-instruct-fp8-fast`) - Speed-optimized 70B model
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- **Mistral Small 3.1** (`@cf/mistralai/mistral-small-3.1-24b-instruct`) - Enhanced vision and 128K context
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- **EmbeddingGemma-300M** (`@cf/google/embeddinggemma-300m`) - Multilingual embeddings (100+ languages)
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## OpenAI Compatibility
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All examples use Cloudflare's OpenAI-compatible endpoints, supporting standard parameters:
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- `temperature` - Response randomness control
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- `max_tokens` - Output length limits
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- `top_p` - Nucleus sampling
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- `frequency_penalty` - Repetition reduction
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- `presence_penalty` - Topic diversity
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## Local Development
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For local testing with your development version:
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```bash
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npm run local -- eval -c examples/provider-cloudflare/ai/chat_config.yaml
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```
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## References
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- [Cloudflare Workers AI Models](https://developers.cloudflare.com/workers-ai/models/) - Complete model catalog
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- [Cloudflare Workers AI Documentation](https://developers.cloudflare.com/workers-ai/) - Platform overview
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- [OpenAI Compatibility](https://developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/) - API details
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- [promptfoo Cloudflare AI Provider](../../../site/docs/providers/cloudflare-ai.md) - Provider documentation
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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prompts:
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- Tell me a funny joke about {{topic}}
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providers:
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- id: cloudflare-ai:chat:@cf/mistralai/mistral-small-3.1-24b-instruct
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config:
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accountId: your_account_id_here
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# ===============
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# API key is loaded from CLOUDFLARE_API_KEY environment variable
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# Alternatively, use custom environment variable names:
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# apiKeyEnvar: CUSTOM_CLOUDFLARE_KEY
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# accountIdEnvar: CUSTOM_CLOUDFLARE_ACCOUNT
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# ===============
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# OpenAI-compatible model parameters
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max_tokens: 800
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temperature: 0.7
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seed: 1
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tests:
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- vars:
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topic: programming
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assert:
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- type: icontains
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value: '{{topic}}'
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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prompts:
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- What is the capital of the {{country}}?
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providers:
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- cloudflare-ai:chat:@cf/openai/gpt-oss-120b
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- cloudflare-ai:chat:@cf/meta/llama-4-scout-17b-16e-instruct
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tests:
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- vars:
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country: United States
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assert:
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- type: icontains
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value: Washington, D.C.
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- vars:
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country: England
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assert:
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- type: icontains
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value: London
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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prompts:
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- This prompt will be evaluated for embedding similarity
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defaultTest:
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options:
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provider:
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embedding:
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id: cloudflare-ai:embedding:@cf/google/embeddinggemma-300m
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config:
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accountId: your_account_id_here
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providers:
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- id: cloudflare-ai:chat:@cf/meta/llama-3.3-70b-instruct-fp8-fast
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config:
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accountId: your_account_id_here
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# ===============
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# API key is loaded from CLOUDFLARE_API_KEY environment variable
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# Alternatively, use custom environment variable names:
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# apiKeyEnvar: CUSTOM_CLOUDFLARE_KEY
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# accountIdEnvar: CUSTOM_CLOUDFLARE_ACCOUNT
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# ===============
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# OpenAI-compatible model parameters
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max_tokens: 800
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temperature: 0.6
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tests:
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- assert:
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- type: similar
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value: embedding similarity
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threshold: 0.6
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# provider-cloudflare/gateway (Cloudflare AI Gateway)
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You can run this example with:
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```bash
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npx promptfoo@latest init --example provider-cloudflare/gateway
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cd provider-cloudflare/gateway
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```
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This example demonstrates how to route AI requests through [Cloudflare AI Gateway](https://developers.cloudflare.com/ai-gateway/) for caching, rate limiting, and analytics.
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## Prerequisites
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1. A Cloudflare account with AI Gateway enabled
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2. An AI Gateway created in your Cloudflare dashboard
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3. API keys for the providers you want to use (OpenAI, Anthropic, Groq, etc.)
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## Setup
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Set the required environment variables:
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```bash
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export CLOUDFLARE_ACCOUNT_ID=your_account_id
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export CLOUDFLARE_GATEWAY_ID=your_gateway_id
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export OPENAI_API_KEY=your_openai_key
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export ANTHROPIC_API_KEY=your_anthropic_key
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export GROQ_API_KEY=your_groq_key
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```
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## Running the Example
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```bash
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npx promptfoo eval -c examples/provider-cloudflare/gateway/promptfooconfig.yaml
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```
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## What This Example Does
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The configuration compares responses from three different providers, all routed through Cloudflare AI Gateway:
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- **OpenAI** (gpt-4o-mini)
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- **Anthropic** (claude-haiku-4-5-20251001)
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- **Groq** (llama-3.1-8b-instant)
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Each provider answers questions about technical topics, and the assertions verify that responses contain relevant keywords.
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## Benefits of Using AI Gateway
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- **Caching**: Identical requests are cached, reducing costs during development
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- **Analytics**: View usage across all providers in your Cloudflare dashboard
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- **Rate Limiting**: Protect against quota issues with request queuing
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- **Logging**: All requests and responses are logged for debugging
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## Documentation
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See the [Cloudflare AI Gateway provider documentation](https://www.promptfoo.dev/docs/providers/cloudflare-gateway) for more details.
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@@ -0,0 +1,89 @@
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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# Cloudflare AI Gateway Example
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#
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# This example demonstrates routing AI requests through Cloudflare AI Gateway
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# for caching, rate limiting, and analytics.
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#
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# Required environment variables:
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# CLOUDFLARE_ACCOUNT_ID - Your Cloudflare account ID
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# CLOUDFLARE_GATEWAY_ID - Your AI Gateway ID
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#
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# Optional environment variables:
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# CF_AIG_TOKEN - Required if your gateway has "Authenticated Gateway" enabled
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#
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# Provider API keys (choose based on which providers you use):
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# OPENAI_API_KEY - OpenAI API key
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# ANTHROPIC_API_KEY - Anthropic API key
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# GROQ_API_KEY - Groq API key
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#
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# Note: If you've configured BYOK (Bring Your Own Keys) in Cloudflare dashboard,
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# you can omit the provider API keys - Cloudflare will use the stored keys.
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#
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# Run with:
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# npx promptfoo eval -c examples/provider-cloudflare/gateway/promptfooconfig.yaml
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description: Cloudflare AI Gateway comparison
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prompts:
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- 'Explain {{topic}} in simple terms, in about 2-3 sentences.'
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providers:
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# Route OpenAI requests through Cloudflare AI Gateway
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- id: cloudflare-gateway:openai:gpt-4o-mini
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config:
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accountId: '{{env.CLOUDFLARE_ACCOUNT_ID}}'
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gatewayId: '{{env.CLOUDFLARE_GATEWAY_ID}}'
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# Uncomment if using authenticated gateway:
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# cfAigToken: '{{env.CF_AIG_TOKEN}}'
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temperature: 0.7
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max_tokens: 200
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# Route Anthropic requests through Cloudflare AI Gateway
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- id: cloudflare-gateway:anthropic:claude-haiku-4-5-20251001
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config:
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accountId: '{{env.CLOUDFLARE_ACCOUNT_ID}}'
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gatewayId: '{{env.CLOUDFLARE_GATEWAY_ID}}'
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# Uncomment if using authenticated gateway:
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# cfAigToken: '{{env.CF_AIG_TOKEN}}'
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max_tokens: 200
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# Route Groq requests through Cloudflare AI Gateway
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- id: cloudflare-gateway:groq:llama-3.1-8b-instant
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config:
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accountId: '{{env.CLOUDFLARE_ACCOUNT_ID}}'
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gatewayId: '{{env.CLOUDFLARE_GATEWAY_ID}}'
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# Uncomment if using authenticated gateway:
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# cfAigToken: '{{env.CF_AIG_TOKEN}}'
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temperature: 0.7
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max_tokens: 200
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tests:
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- vars:
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topic: machine learning
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assert:
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- type: contains-any
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value:
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- algorithm
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- data
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- learn
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- pattern
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- vars:
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topic: quantum computing
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assert:
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- type: contains-any
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value:
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- qubit
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- quantum
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- superposition
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- computer
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- vars:
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topic: blockchain
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assert:
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- type: contains-any
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value:
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- block
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- chain
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- ledger
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- decentralized
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