外掛說明

This plugin provides NVIDIA NIM integration for the PHP AI Client SDK. It enables WordPress sites to use NVIDIA’s inference microservices for text generation, image generation, and embedding generation.

Features:

Text generation with NVIDIA NIM models
Image generation with Stable Diffusion and Flux models
Embedding generation with NVIDIA NIM models
Function calling support
Automatic provider registration

Available models are dynamically discovered from the NVIDIA NIM API and explicitly categorized by capability (text, image, multimodal, embedding), covering models from NVIDIA, Meta, Google, Mistral, and other providers.

Requirements:

PHP 7.4 or higher
For WordPress 6.9, the wordpress/php-ai-client package must be installed
For WordPress 7.0 and above, no additional changes are required
NVIDIA API key

Supported Models

Models are discovered from the NVIDIA NIM API and explicitly categorized by capability.

Image Generation

google/diffusiongemma-26b-a4b-it

Multimodal Text (image/document input)

adept/fuyu-8b
google/deplot
meta/llama-3.2-11b-vision-instruct
meta/llama-3.2-90b-vision-instruct
microsoft/kosmos-2
microsoft/phi-3-vision-128k-instruct
microsoft/phi-4-multimodal-instruct
nvidia/cosmos-reason2-8b
nvidia/llama-3.1-nemotron-nano-vl-8b-v1
nvidia/nemotron-nano-12b-v2-vl
nvidia/neva-22b
nvidia/nvclip
nvidia/vila

Text Generation

01-ai/yi-large
abacusai/dracarys-llama-3.1-70b-instruct
ai21labs/jamba-1.5-large-instruct
aisingapore/sea-lion-7b-instruct
bigcode/starcoder2-15b
bytedance/seed-oss-36b-instruct
databricks/dbrx-instruct
deepseek-ai/deepseek-coder-6.7b-instruct
deepseek-ai/deepseek-v4-flash
deepseek-ai/deepseek-v4-pro
google/codegemma-1.1-7b
google/codegemma-7b
google/gemma-2-2b-it
google/gemma-2b
google/gemma-3-12b-it
google/gemma-3-4b-it
google/gemma-3n-e2b-it
google/gemma-3n-e4b-it
google/gemma-4-31b-it
google/recurrentgemma-2b
ibm/granite-3.0-3b-a800m-instruct
ibm/granite-3.0-8b-instruct
ibm/granite-34b-code-instruct
ibm/granite-8b-code-instruct
meta/codellama-70b
meta/llama-3.1-70b-instruct
meta/llama-3.1-8b-instruct
meta/llama-3.2-1b-instruct
meta/llama-3.2-3b-instruct
meta/llama-3.3-70b-instruct
meta/llama-4-maverick-17b-128e-instruct
meta/llama2-70b
microsoft/phi-3.5-moe-instruct
microsoft/phi-4-mini-instruct
minimaxai/minimax-m2.7
minimaxai/minimax-m3
mistralai/codestral-22b-instruct-v0.1
mistralai/ministral-14b-instruct-2512
mistralai/mistral-7b-instruct-v0.3
mistralai/mistral-large
mistralai/mistral-large-2-instruct
mistralai/mistral-large-3-675b-instruct-2512
mistralai/mistral-medium-3.5-128b
mistralai/mistral-nemotron
mistralai/mistral-small-4-119b-2603
mistralai/mixtral-8x22b-v0.1
mistralai/mixtral-8x7b-instruct-v0.1
moonshotai/kimi-k2.6
nv-mistralai/mistral-nemo-12b-instruct
nvidia/ising-calibration-1-35b-a3b
nvidia/llama-3.1-nemotron-51b-instruct
nvidia/llama-3.1-nemotron-70b-instruct
nvidia/llama-3.1-nemotron-nano-8b-v1
nvidia/llama-3.1-nemotron-ultra-253b-v1
nvidia/llama-3.3-nemotron-super-49b-v1
nvidia/llama-3.3-nemotron-super-49b-v1.5
nvidia/llama3-chatqa-1.5-70b
nvidia/mistral-nemo-minitron-8b-8k-instruct
nvidia/nemotron-3-nano-30b-a3b
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning
nvidia/nemotron-3-super-120b-a12b
nvidia/nemotron-3-ultra-550b-a55b
nvidia/nemotron-4-340b-instruct
nvidia/nemotron-mini-4b-instruct
nvidia/nemotron-nano-3-30b-a3b
nvidia/nvidia-nemotron-nano-9b-v2
nvidia/riva-translate-4b-instruct
nvidia/riva-translate-4b-instruct-v1.1
openai/gpt-oss-120b
openai/gpt-oss-20b
qwen/qwen3-next-80b-a3b-instruct
qwen/qwen3.5-122b-a10b
qwen/qwen3.5-397b-a17b
sarvamai/sarvam-m
stepfun-ai/step-3.5-flash
stepfun-ai/step-3.7-flash
stockmark/stockmark-2-100b-instruct
upstage/solar-10.7b-instruct
writer/palmyra-creative-122b
writer/palmyra-fin-70b-32k
writer/palmyra-med-70b
writer/palmyra-med-70b-32k
z-ai/glm-5.1
zyphra/zamba2-7b-instruct

Embedding

baai/bge-m3
nvidia/embed-qa-4
nvidia/llama-3.2-nemoretriever-1b-vlm-embed-v1
nvidia/llama-3.2-nv-embedqa-1b-v1
nvidia/llama-nemotron-embed-1b-v2
nvidia/llama-nemotron-embed-vl-1b-v2
nvidia/nv-embed-v1
nvidia/nv-embedcode-7b-v1
nvidia/nv-embedqa-e5-v5
nvidia/nv-embedqa-mistral-7b-v2
snowflake/arctic-embed-l

Privacy

This plugin sends data to the NVIDIA NIM API (https://integrate.api.nvidia.com) when generating text or images. The data sent includes the user’s prompt text and API key. No data is collected, stored, or transmitted to any other third party. The NVIDIA API is used solely to fulfill the generation request.

This plugin does not use cookies, tracking, or analytics.

安裝方式

Upload the plugin files to /wp-content/plugins/forgeia-ai-provider-for-nvidia/
Activate the plugin through the ‘Plugins’ menu in WordPress
Configure your NVIDIA API key via the NVIDIA_API_KEY environment variable or constant

常見問題集

How do I get an NVIDIA API key?: Visit the NVIDIA Build to create an account and generate an API key.
Does this plugin work without the PHP AI Client?: No, this plugin requires the PHP AI Client plugin to be installed and activated. It provides the NVIDIA-specific implementation that the PHP AI Client uses.

使用者評論

這個外掛目前沒有任何使用者評論。

參與者及開發者

以下人員參與了開源軟體〈Forgeia AI Provider for NVIDIA〉的開發相關工作。

Alireza Arjvand

將〈Forgeia AI Provider for NVIDIA〉外掛本地化為台灣繁體中文版

對開發相關資訊感興趣？

任何人均可瀏覽程式碼、查看 SVN 存放庫，或透過 RSS 訂閱開發記錄。

變更記錄

1.1.0

Replace pattern-based model classification with explicit model allowlists for accuracy
Add comprehensive supported models list to readme.txt (including embedding models)
Add WordPress.org plugin directory assets (icons)
Fix SVN deployment slug

1.0.1

Rebrand to Forgeia AI Provider for NVIDIA
Main plugin file renamed to match folder slug
Add PHP coding standards (PHPCS + PHPStan level max)
Add direct file access protection to autoload.php
Replace placeholder values in LICENSE
Add privacy disclosure for WordPress.org submission
Update contributors in readme.txt
Fix GitHub URLs from arjvand/php-ai-client to wordpress/php-ai-client

1.0.0

Initial release of the plugin
Support for NVIDIA NIM text generation models
Support for image generation models (Stable Diffusion, Flux)
Function calling support