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Markdown

# config-structured-outputs (Multi-Provider Structured Outputs)
You can run this example with:
```bash
npx promptfoo@latest init --example config-structured-outputs
cd config-structured-outputs
```
This example demonstrates how to enforce structured JSON outputs using schema validation across multiple AI providers:
- **OpenAI** - using `response_format` with `json_schema`
- **Azure OpenAI** - using `response_format` with `json_schema`
- **Anthropic** - using `output_format` with `json_schema`
The example includes two prompt configurations for solving quirky math problems:
- One that requires step-by-step problem solving (with `steps` array)
- One that only requires the final answer (without `steps` array)
## Environment Variables
This example requires at least one of the following API keys:
- `OPENAI_API_KEY` - Your OpenAI API key for testing with GPT models
- `ANTHROPIC_API_KEY` - Your Anthropic API key for testing with Claude models
- For Azure OpenAI: See [Azure OpenAI provider docs](https://promptfoo.dev/docs/providers/azure) for required credentials
You can set these in a `.env` file or directly in your environment:
```bash
export OPENAI_API_KEY=your_api_key_here
export ANTHROPIC_API_KEY=your_api_key_here
```
## Provider Differences
### OpenAI/Azure Format
OpenAI and Azure use `response_format` at the prompt level:
```yaml
prompts:
- raw: 'Your prompt here'
config:
response_format:
type: json_schema
json_schema:
name: schema_name
strict: true
schema:
# Your schema here
```
### Anthropic Format
Anthropic uses `output_format` at the provider level:
```yaml
providers:
- id: anthropic:messages:claude-sonnet-4-6
config:
output_format:
type: json_schema
schema:
# Your schema here (no nested json_schema object)
```
## Getting Started
1. Review and customize `promptfooconfig.yaml` as needed
2. Remove any providers you don't have API keys for
3. Run the evaluation:
```bash
promptfoo eval
```
4. View the results:
```bash
promptfoo view
```
## What You'll Learn
- How to enforce JSON schemas across different providers
- The syntax differences between OpenAI and Anthropic structured outputs
- How to validate that responses are always valid JSON objects
- How to require specific fields and types in LLM responses
## Learn More
- [OpenAI Structured Outputs Documentation](https://platform.openai.com/docs/guides/structured-outputs)
- [Anthropic Structured Outputs Documentation](https://docs.anthropic.com/en/docs/build-with-claude/structured-outputs)
- [promptfoo Structured Outputs Guide](https://promptfoo.dev/docs/)