1. Open LLM settings
Go to Settings → AI Providers → LLM and choose Generic OpenAI as the provider.
Choose Generic OpenAI as the LLM provider in AnythingLLM, fill the avots base URL, key, model and context, and chat with your docs on avots.
AnythingLLM has a Generic OpenAI provider for any OpenAI-compatible endpoint. Point it at avots.
| Field | Value |
|---|---|
| Base URL | https://api.avots.ai/openai/v1 |
| API key | av_mcp_… · get your key |
| Model | anthropic/claude-sonnet-4.6 or any id from the table below |
Go to Settings → AI Providers → LLM and choose Generic OpenAI as the provider.
Set Base URL to https://api.avots.ai/openai/v1, API Key to your av_mcp_ key, and Chat Model Name to anthropic/claude-sonnet-4.6.
Enter the Token context window for your model and a Max Tokens value, then save.
LLM Provider: Generic OpenAI
Base URL: https://api.avots.ai/openai/v1
API Key: av_mcp_YOUR_KEY
Chat Model Name: anthropic/claude-sonnet-4.6
Token context window: 200000
Max Tokens: 4096
Generic OpenAI has no model auto-discovery, type the exact Chat Model Name by hand. Set the Token context window and Max Tokens correctly, wrong values silently truncate or error. This configures the chat LLM only, embeddings are a separate provider.
curl https://api.avots.ai/openai/v1/chat/completions \
-H "Authorization: Bearer av_mcp_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-sonnet-4.6",
"messages": [{"role": "user", "content": "Hello!"}]
}'
Your av_mcp_ key is not only for chat. avots also runs as an MCP server, so AnythingLLM can call avots creative tools, image, video, music, talking avatars, on the same key and the same balance.
| Field | Value |
|---|---|
| MCP server | https://mcp.avots.ai/ |
| API key | av_mcp_… · same key as above |
Set the model field to any id below, or a lazy name like claude / gpt / gemini that maps to a sensible default.
| Model | Best for | ⚡ / 1M tokens (in / out) |
|---|---|---|
openai/gpt-5.5-pro | Max intelligence, hardest tasks | 60 000 / 360 000 |
anthropic/claude-opus-5 | Top Claude, long reasoning | 10 000 / 50 000 |
anthropic/claude-sonnet-4.6 | Balanced (default) | 6 000 / 30 000 |
google/gemini-3.1-pro-preview | Fresh Gemini Pro | 4 000 / 24 000 |
google/gemini-2.5-pro | Stable Gemini Pro | 2 500 / 20 000 |
anthropic/claude-haiku-4.5 | Fast Claude | 2 000 / 10 000 |
deepseek/deepseek-r1 | Cheap reasoning | 1 400 / 5 000 |
google/gemini-2.5-flash | Fast and cheap | 600 / 5 000 |
openai/gpt-5-mini | Cheap OpenAI | 500 / 4 000 |
openai/gpt-oss-120b:free | Free (OpenAI open model, needs a positive balance) | Free |
* Price in ⚡ per 1,000,000 tokens, input / output (1000⚡ ≈ $1). Free models need a positive balance. Full list via GET /openai/v1/models.
Generate an av_mcp_ key in Settings, paste three fields, and reach 40+ models on one balance. The same key works for MCP.
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