chore: import upstream snapshot with attribution

examples/azure/mistral/README.md

@@ -0,0 +1,47 @@
+# azure/mistral (Azure Mistral Models)
+
+This example demonstrates how to use Mistral models on Azure AI Foundry with promptfoo.
+
+You can run this example with:
+
+```bash
+npx promptfoo@latest init --example azure/mistral
+cd azure/mistral
+```
+
+## Setup
+
+1. Deploy Mistral models in Azure AI Foundry
+2. Update `promptfooconfig.yaml` with your deployment name and API host
+3. Set your environment variables:
+
+```bash
+export AZURE_API_KEY=your-api-key
+```
+
+## Available Mistral Models
+
+| Model                | Description                      |
+| -------------------- | -------------------------------- |
+| `Mistral-Large-3`    | Mistral Large 3 - Most capable   |
+| `Mistral-Large-2411` | Mistral Large - Previous gen     |
+| `mistral-small-2503` | Mistral Small - Fast, efficient  |
+| `Pixtral-Large-2411` | Pixtral Large - Vision + text    |
+| `Ministral-3B-2410`  | Ministral 3B - Fast, lightweight |
+| `Mistral-Nemo`       | Mistral Nemo - Balanced          |
+
+## Running the Example
+
+```bash
+npx promptfoo@latest eval
+npx promptfoo@latest view
+```
+
+## Configuration
+
+The example compares Mistral Large 3 and Mistral Small 2503 on text generation tasks. This helps evaluate the trade-off between model capacity, speed, and quality.
+
+## Documentation
+
+- [Azure Provider Documentation](https://promptfoo.dev/docs/providers/azure/)
+- [Mistral on Azure](https://azure.microsoft.com/en-us/products/ai-services/ai-foundry/)

examples/azure/mistral/promptfooconfig.yaml

@@ -0,0 +1,60 @@
+# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
+description: Azure Mistral models
+
+prompts:
+  - |
+    You are a helpful assistant. Answer the following question clearly and concisely.
+
+    Question: {{question}}
+
+providers:
+  # Mistral Large 3 - Most capable Mistral model
+  - id: azure:chat:Mistral-Large-3
+    label: mistral-large-3
+    config:
+      apiHost: 'your-deployment.services.ai.azure.com'
+      apiVersion: '2025-04-01-preview'
+      max_tokens: 1024
+      temperature: 0.7
+
+  # Mistral Small 2503 - Fast and cost-effective
+  - id: azure:chat:mistral-small-2503
+    label: mistral-small-2503
+    config:
+      apiHost: 'your-deployment.services.ai.azure.com'
+      apiVersion: '2025-04-01-preview'
+      max_tokens: 1024
+      temperature: 0.7
+
+defaultTest:
+  options:
+    provider:
+      id: azure:chat:Mistral-Large-3
+      config:
+        apiHost: 'your-deployment.services.ai.azure.com'
+        apiVersion: '2025-04-01-preview'
+
+tests:
+  - vars:
+      question: What are the key differences between compiled and interpreted programming languages?
+    assert:
+      - type: contains-any
+        value: ['compiled', 'interpreted', 'machine code', 'runtime']
+      - type: llm-rubric
+        value: Provides a clear comparison with examples
+
+  - vars:
+      question: Explain the concept of API rate limiting and why it's important.
+    assert:
+      - type: contains-any
+        value: ['rate', 'limit', 'request', 'throttle']
+      - type: llm-rubric
+        value: Explains both the concept and its importance
+
+  - vars:
+      question: What is the difference between SQL and NoSQL databases?
+    assert:
+      - type: contains-any
+        value: ['relational', 'schema', 'document', 'flexible']
+      - type: llm-rubric
+        value: Covers key differences between database types