by DuetG
1 (0 reviews)
DuetG AI Connector
Connect WordPress AI Client to any OpenAI-compatible AI API provider.
Compatible with WP 7
v0.3.1
Current Version v0.3.1
Updated 3 months ago
Last Update on 15 Apr, 2026
Refreshed 6 hours ago
Last Refreshed on
Rank
#21,498
—
No change
Active Installs
1+
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No change
KW Avg Position
152
+1 better
Downloads
442
+2 today
Support Resolved
0%
—
No change
Rating
20%
Review 1 out of 5
1
(0 reviews)
Next Milestone 10
0+
10+
20,541
Ranks to Climb
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Growth Needed
8,000,000
Active Installs
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Rank Changes
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#21,498
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Overall
20%
5
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Tracked Keywords
Showing 1 of 1| Keyword | Position | Change | Type | Updated |
|---|---|---|---|---|
| artificial intelligence | 152 | — | Tag | 2 days ago |
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- Version
- 0.3.1
- Last Updated
- Apr 15, 2026
- Requires WP
- 7.0+
- Tested Up To
- 7
- PHP Version
- 7.4 or higher
- Author
- DuetG
Support & Rating
- Rating
- ★ ☆ ☆ ☆ ☆ 1
- Reviews
- 0
- Support Threads
- 0
- Resolved
- 0%
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Frequently Asked Questions
Common questions about DuetG AI Connector
To enable debug logging, add the following to your wp-config.php: define('DUETGAICON_DEBUG', true);
* Request/response details for AI API calls * Provider registration status * Model handler information Note: Disable debug logging in production environments to avoid performance impact and log file growth.
No, this plugin requires WordPress 7.0 or higher because it uses the built-in Connectors API for API key management.
This is expected behavior and has two causes: Multi-category suggestions: Some AI models return a single suggestion that applies to multiple review categories (e.g., review_type: "seo, accessibility"). The plugin preserves these as-is, so one suggestion may appear under multiple note categories in WordPress AI Client. Model response format: The AI model controls the number of suggestions it returns, and WordPress AI Client determines how to display and categorize them. The plugin correctly forwards the model's response without modifying the count. If you need more consistent results, consider using a model that reliably returns structured JSON with distinct suggestions per category.
Ollama (local): http://localhost:11434/v1 LM Studio (local): http://localhost:1234/v1 MiniMax: https://api.minimax.io/v1 Moonshot: https://api.moonshot.ai/v1 DeepSeek: https://api.deepseek.com/v1 SiliconFlow: https://api.siliconflow.cn/v1 Other providers: Check their documentation
Some providers require an API key. For local installations (like Ollama) that don't require authentication, you can enter any dummy string (e.g., "not-required") as the API key.
Local reasoning models (like Gemma 4, QwQ, etc.) running on Ollama generate long "thinking" chains before producing their final answer. This process can take 30-60 seconds or more, which can trigger cURL's low speed limit timeout (30 seconds by default). Cloud models generally work well - most cloud API providers (DeepSeek, MiniMax, Moonshot, etc.) respond quickly without timeout issues. If a cloud model frequently times out, it may have unusually long thinking chains - try switching to a different model. Recommended solutions for local models: Use non-reasoning models for local AI features. For Ollama, models like qwen2.5:7b, llama3.2:3b, or phi3 work well without the timeout issue. Configure Ollama to keep models loaded: bash export OLLAMA_KEEP_ALIVE=-1 # Keep model in memory If using reasoning models, be aware that WordPress AI features may be slower or timeout. The thinking behavior is controlled by the model, not by the plugin.
By default, WordPress blocks requests to localhost and private IP addresses for security (SSRF protection). If you're using a local AI provider, you can disable this protection by adding to your wp-config.php: define('DUETGAICON_ALLOW_LOCAL_URLS', true); Warning: Disabling SSRF protection allows requests to private/local IPs. Only enable this if you trust your local AI provider and your server is not directly accessible from the internet. This setting applies to both text and image models when using local AI providers. Tip: When DUETGAICON_ALLOW_LOCAL_URLS is enabled, a Network Connectivity Test tool appears on the Test AI page (Tools > Test AI). You can use it to verify that your WordPress server can reach your local AI provider before running actual AI feature tests. This is especially useful for debugging connection issues with local Ollama or LM Studio installations.
use WordPress\AiClient\AiClient; $registry = AiClient::defaultRegistry(); // Text Generation $model = $registry->getProviderModel('custom_text', 'gpt-4'); $result = $model->generateTextResult([ new \WordPress\AiClient\Messages\DTO\UserMessage([ new \WordPress\AiClient\Messages\DTO\MessagePart('Your prompt here') ]) ]); echo $result->toText(); // Image Generation $model = $registry->getProviderModel('custom_image', 'dall-e-3'); $result = $model->generateImageResult([ new \WordPress\AiClient\Messages\DTO\UserMessage([ new \WordPress\AiClient\Messages\DTO\MessagePart('Your prompt here') ]) ]); $files = $result->toImageFiles();