mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-03 18:00:36 +00:00
e892a3f7f4
# What does this PR do? inference adapters can now configure `refresh_models: bool` to control periodic model listing from their providers BREAKING CHANGE: together inference adapter default changed. previously always refreshed, now follows config. addresses "models: refresh" on #3517 ## Test Plan ci w/ new tests
66 lines
2.7 KiB
Text
66 lines
2.7 KiB
Text
---
|
|
description: |
|
|
Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages:
|
|
|
|
• Enterprise-grade security: Uses Google Cloud's security controls and IAM
|
|
• Better integration: Seamless integration with other Google Cloud services
|
|
• Advanced features: Access to additional Vertex AI features like model tuning and monitoring
|
|
• Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys
|
|
|
|
Configuration:
|
|
- Set VERTEX_AI_PROJECT environment variable (required)
|
|
- Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1)
|
|
- Use Google Cloud Application Default Credentials or service account key
|
|
|
|
Authentication Setup:
|
|
Option 1 (Recommended): gcloud auth application-default login
|
|
Option 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path
|
|
|
|
Available Models:
|
|
- vertex_ai/gemini-2.0-flash
|
|
- vertex_ai/gemini-2.5-flash
|
|
- vertex_ai/gemini-2.5-pro
|
|
sidebar_label: Remote - Vertexai
|
|
title: remote::vertexai
|
|
---
|
|
|
|
# remote::vertexai
|
|
|
|
## Description
|
|
|
|
Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages:
|
|
|
|
• Enterprise-grade security: Uses Google Cloud's security controls and IAM
|
|
• Better integration: Seamless integration with other Google Cloud services
|
|
• Advanced features: Access to additional Vertex AI features like model tuning and monitoring
|
|
• Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys
|
|
|
|
Configuration:
|
|
- Set VERTEX_AI_PROJECT environment variable (required)
|
|
- Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1)
|
|
- Use Google Cloud Application Default Credentials or service account key
|
|
|
|
Authentication Setup:
|
|
Option 1 (Recommended): gcloud auth application-default login
|
|
Option 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path
|
|
|
|
Available Models:
|
|
- vertex_ai/gemini-2.0-flash
|
|
- vertex_ai/gemini-2.5-flash
|
|
- vertex_ai/gemini-2.5-pro
|
|
|
|
## Configuration
|
|
|
|
| Field | Type | Required | Default | Description |
|
|
|-------|------|----------|---------|-------------|
|
|
| `allowed_models` | `list[str \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. |
|
|
| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
|
|
| `project` | `<class 'str'>` | No | | Google Cloud project ID for Vertex AI |
|
|
| `location` | `<class 'str'>` | No | us-central1 | Google Cloud location for Vertex AI |
|
|
|
|
## Sample Configuration
|
|
|
|
```yaml
|
|
project: ${env.VERTEX_AI_PROJECT:=}
|
|
location: ${env.VERTEX_AI_LOCATION:=us-central1}
|
|
```
|