⚠️ Important Note: This plugin is a configuration tool - it helps you manage your AI settings in one place.

Think of it like a control panel where you can:

• Store your API keys and settings for AI services
• Share these settings with other Obsidian plugins
• Avoid entering the same AI settings multiple times

The plugin itself doesn't do any AI processing - it just helps other plugins connect to AI services more easily.

• Local GPT

• Ollama
• OpenAI
• OpenAI compatible API
• OpenRouter
• Google Gemini
• LM Studio
• Groq

• Fully encapsulated API for working with AI providers
• Develop AI plugins faster without dealing directly with provider-specific APIs
• Easily extend support for additional AI providers in your plugin
• Available in 4 languages: English, Chinese, German, and Russian (more languages coming soon)

This plugin is available in the Obsidian community plugin store https://obsidian.md/plugins?id=ai-providers

You can install this plugin via BRAT: pfrankov/obsidian-ai-providers

1. Install Ollama.
2. Install Gemma 2 ollama pull gemma2 or any preferred model from the library.
3. Select Ollama in Provider type
4. Click refresh button and select the model that suits your needs (e.g. gemma2)

Additional: if you have issues with streaming completion with Ollama try to set environment variable OLLAMA_ORIGINS to *:

• For MacOS run launchctl setenv OLLAMA_ORIGINS "*".
• For Linux and Windows check the docs.

1. Select OpenAI in Provider type
2. Set Provider URL to https://api.openai.com/v1
3. Retrieve and paste your API key from the API keys page
4. Click refresh button and select the model that suits your needs (e.g. gpt-4o)

There are several options to run local OpenAI-like server:

• Open WebUI
• llama.cpp
• llama-cpp-python
• LocalAI
• Obabooga Text generation web UI
• LM Studio
• ...maybe more

1. Select OpenRouter in Provider type
2. Set Provider URL to https://openrouter.ai/api/v1
3. Retrieve and paste your API key from the API keys page
4. Click refresh button and select the model that suits your needs (e.g. anthropic/claude-3.7-sonnet)

1. Select Google Gemini in Provider type
2. Set Provider URL to https://generativelanguage.googleapis.com/v1beta/openai
3. Retrieve and paste your API key from the API keys page
4. Click refresh button and select the model that suits your needs (e.g. gemini-1.5-flash)

1. Select LM Studio in Provider type
2. Set Provider URL to http://localhost:1234/v1
3. Click refresh button and select the model that suits your needs (e.g. gemma2)

1. Select Groq in Provider type
2. Set Provider URL to https://api.groq.com/openai/v1
3. Retrieve and paste your API key from the API keys page
4. Click refresh button and select the model that suits your needs (e.g. llama3-70b-8192)

Docs: How to integrate AI Providers in your plugin.

Quick reference (details in SDK docs):

try {
	const finalText = await aiProviders.execute({
		provider,
		prompt: "Hello",
		onProgress: (chunk, full) => {/* stream UI update */},
		abortController
	});
	// use finalText
} catch (e) {
	// handle error / abort
}

Removed callbacks: onEnd / onError — promise resolve/reject covers them (only onProgress remains for streaming). Legacy chainable handler also deprecated.

• Docs for devs
• Ollama context optimizations
• German translations
• Chinese translations
• Update to latest OpenAI version and embedding models
• Russian translations
• Groq Provider support
• Passing messages instead of one prompt
• Anthropic Provider support
• Shared embeddings to avoid re-embedding the same documents multiple times
• Spanish, Italian, French, Dutch, Portuguese, Japanese, Korean translations
• Incapsulated basic RAG search with optional BM25 search

• Local GPT that assists with local AI for maximum privacy and offline access.
• Colored Tags that colorizes tags in distinguishable colors.