chore: import upstream snapshot with attribution
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@@ -0,0 +1,251 @@
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---
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displayed_sidebar: promptfoo
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sidebar_label: Overview
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title: Configuration Overview - Prompts, Tests, and Outputs
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description: Quick overview of promptfoo's core configuration concepts including prompts, test cases, outputs, and common patterns for LLM evaluation.
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keywords:
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[
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promptfoo overview,
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configuration basics,
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prompt setup,
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test cases,
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output formats,
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evaluation workflow,
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]
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pagination_prev: configuration/reference
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pagination_next: configuration/prompts
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---
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# Prompts, tests, and outputs
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Configure how promptfoo evaluates your LLM applications.
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:::tip Detailed Documentation
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For comprehensive guides, see the dedicated pages:
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- **[Prompts](/docs/configuration/prompts)** - Configure what you send to LLMs
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- **[Test Cases](/docs/configuration/test-cases)** - Set up evaluation scenarios
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- **[Output Formats](/docs/configuration/outputs)** - Save and analyze results
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:::
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## Quick Start
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```yaml title="promptfooconfig.yaml"
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# Define your prompts
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prompts:
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- 'Translate to {{language}}: {{text}}'
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# Configure test cases
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tests:
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- vars:
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language: French
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text: Hello world
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assert:
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- type: contains
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value: Bonjour
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# Run evaluation
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# promptfoo eval
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```
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## Core Concepts
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### 📝 [Prompts](/docs/configuration/prompts)
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Define what you send to your LLMs - from simple strings to complex conversations.
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<details>
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<summary><strong>Common patterns</strong></summary>
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**Text prompts**
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```yaml
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prompts:
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- 'Summarize this: {{content}}'
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- file://prompts/customer_service.txt
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```
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**Chat conversations**
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```yaml
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prompts:
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- file://prompts/chat.json
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```
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**Dynamic prompts**
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```yaml
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prompts:
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- file://generate_prompt.js
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- file://create_prompt.py
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```
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</details>
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[Learn more about prompts →](/docs/configuration/prompts)
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### 🧪 [Test Cases](/docs/configuration/test-cases)
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Configure evaluation scenarios with variables and assertions.
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<details>
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<summary><strong>Common patterns</strong></summary>
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**Inline tests**
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```yaml
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tests:
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- vars:
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question: "What's 2+2?"
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assert:
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- type: equals
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value: '4'
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```
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**CSV test data**
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```yaml
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tests: file://test_cases.csv
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```
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**HuggingFace datasets**
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```yaml
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tests: huggingface://datasets/rajpurkar/squad
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```
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**Azure Blob Storage**
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```yaml
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tests: az://myaccount/evals/tests.json
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```
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**Dynamic generation**
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```yaml
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tests: file://generate_tests.js
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```
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</details>
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[Learn more about test cases →](/docs/configuration/test-cases)
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### 📊 [Output Formats](/docs/configuration/outputs)
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Save and analyze your evaluation results.
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<details>
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<summary><strong>Available formats</strong></summary>
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```bash
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# Visual report
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promptfoo eval --output results.html
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# Data analysis
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promptfoo eval --output results.json
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# Spreadsheet
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promptfoo eval --output results.csv
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```
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</details>
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[Learn more about outputs →](/docs/configuration/outputs)
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## Complete Example
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Here's a real-world example that combines multiple features:
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```yaml title="promptfooconfig.yaml"
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: Customer service chatbot evaluation
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prompts:
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# Simple text prompt
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- 'You are a helpful customer service agent. {{query}}'
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# Chat conversation format
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- file://prompts/chat_conversation.json
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# Dynamic prompt with logic
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- file://prompts/generate_prompt.js
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providers:
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- openai:gpt-5-mini
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- anthropic:claude-3-haiku
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tests:
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# Inline test cases
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- vars:
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query: 'I need to return a product'
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assert:
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- type: contains
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value: 'return policy'
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- type: llm-rubric
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value: 'Response is helpful and professional'
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# Load more tests from CSV
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- file://test_scenarios.csv
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# Save results
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outputPath: evaluations/customer_service_results.html
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```
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## Quick Reference
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### Supported File Formats
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| Format | Prompts | Tests | Use Case |
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| -------------------- | ------- | ----- | ----------------------------------- |
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| `.txt` | ✅ | ❌ | Simple text prompts |
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| `.json` | ✅ | ✅ | Chat conversations, structured data |
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| `.yaml` | ✅ | ✅ | Complex configurations |
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| `.csv` | ✅ | ✅ | Bulk data, multiple variants |
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| `.js`/`.ts` | ✅ | ✅ | Dynamic generation with logic |
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| `.py` | ✅ | ✅ | Python-based generation |
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| `.md` | ✅ | ❌ | Markdown-formatted prompts |
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| `.j2` | ✅ | ❌ | Jinja2 templates |
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| HuggingFace datasets | ❌ | ✅ | Import from existing datasets |
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### Variable Syntax
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Variables use [Nunjucks](https://mozilla.github.io/nunjucks/) templating:
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```yaml
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# Basic substitution
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prompt: 'Hello {{name}}'
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# Filters
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prompt: 'URGENT: {{message | upper}}'
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# Conditionals
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prompt: '{% if premium %}Premium support: {% endif %}{{query}}'
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```
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### File References
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All file paths are relative to the config file:
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```yaml
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# Single file
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prompts:
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- file://prompts/main.txt
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# Multiple files with glob
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tests:
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- file://tests/*.yaml
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# Specific function
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prompts:
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- file://generate.js:createPrompt
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```
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Wildcards like `path/to/prompts/**/*.py:func_name` are also supported.
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## Next Steps
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- **[Prompts](/docs/configuration/prompts)** - Deep dive into prompt configuration
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- **[Test Cases](/docs/configuration/test-cases)** - Learn about test scenarios and assertions
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- **[HuggingFace Datasets](/docs/configuration/huggingface-datasets)** - Import test cases from existing datasets
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- **[Output Formats](/docs/configuration/outputs)** - Understand evaluation results
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- **[Expected Outputs](/docs/configuration/expected-outputs)** - Configure assertions
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- **[Configuration Reference](/docs/configuration/reference)** - All configuration options
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