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wehub-resource-sync
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# google-vertex-tools (Google Vertex Tools)
Example configurations for testing Google Vertex AI models with function calling and tool callbacks.
You can run this example with:
```bash
npx promptfoo@latest init --example google-vertex-tools
cd google-vertex-tools
```
## Purpose
This example demonstrates how to use [Vertex AI models](https://www.promptfoo.dev/docs/providers/vertex/) with:
- Function calling and tool declarations
- Function callback execution with local implementations
- Different configuration approaches (YAML vs JavaScript)
## Prerequisites
1. Install the Google Auth Library:
```sh
npm install google-auth-library
```
2. Enable the Vertex AI API in your Google Cloud project
3. Configure your Google Cloud project:
```sh
gcloud config set project PROJECT_ID
```
4. Set up authentication using one of these methods:
- Authenticate with your Google account:
```sh
gcloud auth application-default login
```
- Use a machine with an authorized service account
- Use service account credentials file:
1. Download your service account JSON
2. Set the credentials path:
```sh
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
```
## Configurations
This example includes two different approaches:
### Basic Tool Declaration (`promptfooconfig.yaml`)
Uses external tool definitions and validates function calls without execution:
- `promptfooconfig.yaml` - YAML configuration with external tools
- `tools.json` - Function definitions for weather lookup
### Function Callbacks (`promptfooconfig-callback.js`)
Demonstrates actual function execution with local callbacks:
- `promptfooconfig-callback.js` - JavaScript configuration with inline tools and callbacks
- Includes local function implementation for adding numbers
## Running the Examples
1. **Basic tool declaration example:**
```sh
promptfoo eval -c promptfooconfig.yaml
```
2. **Function callback example:**
```sh
promptfoo eval -c promptfooconfig-callback.js
```
3. **View results:**
```sh
promptfoo view
```
## Expected Results
- **Basic example**: Validates that the model correctly calls the weather function with proper parameters
- **Callback example**: Actually executes the addition function and validates the computed results
## Learn More
- [Vertex AI Provider Documentation](https://www.promptfoo.dev/docs/providers/vertex/)
- [Google Cloud Vertex AI Documentation](https://cloud.google.com/vertex-ai/docs)
- [Function Calling Documentation](https://www.promptfoo.dev/docs/providers/vertex/#function-calling)
- [promptfoo Documentation](https://www.promptfoo.dev/docs/)
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module.exports = /** @type {import('promptfoo').TestSuiteConfig} */ ({
description: 'Function calling and callback execution demonstration',
prompts: [
'Please add the following numbers together: {{a}} and {{b}}',
'What is the sum of {{a}} and {{b}}?',
],
providers: [
{
id: 'vertex:gemini-2.5-flash-002',
config: {
tools: [
{
functionDeclarations: [
{
name: 'addNumbers',
description: 'Add two numbers together',
parameters: {
type: 'object',
properties: {
a: { type: 'number' },
b: { type: 'number' },
},
required: ['a', 'b'],
},
},
],
},
],
functionToolCallbacks: {
addNumbers: (parametersJsonString) => {
const { a, b } = JSON.parse(parametersJsonString);
return JSON.stringify(a + b);
},
},
},
},
],
tests: [
{
vars: { a: 5, b: 6 },
assert: [
{
type: 'equals',
value: '11',
},
],
},
{
vars: { a: 10, b: 20 },
assert: [
{
type: 'javascript',
value: "output.includes('30')",
},
],
},
],
});
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
# Learn more about building a configuration: https://promptfoo.dev/docs/configuration/guide
description: 'Function calling demonstration'
prompts:
- What is the weather in {{location}}?
providers:
# See https://www.promptfoo.dev/docs/providers/vertex/
- id: 'vertex:gemini-2.5-flash-002'
config:
tools: file://tools.json
defaultTest:
assert:
- type: is-valid-function-call
- type: equals
value: get_current_weather
# Transform is a cleaner way to pick out specific properties.
# This transform returns only the 'name' property
transform: output[0].functionCall.name
- type: similar
value: '{{location}}'
threshold: 0.9
# This transform returns only the parsed location argument.
transform: output[0].functionCall.args.location
options:
# This overrides the default grading providers with Vertex AI models.
providers:
embedding: 'vertex:embedding:text-embedding-005'
text: 'vertex:gemini-2.5-flash-002'
tests:
- vars:
location: San Francisco
- vars:
location: New York
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[
{
"functionDeclarations": [
{
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
}
},
"required": ["location"]
}
}
]
}
]