1. Відкрийте налаштування LLM
Перейдіть до Settings → AI Providers → LLM і виберіть Generic OpenAI як провайдера.
Виберіть Generic OpenAI як LLM-провайдера в AnythingLLM, заповніть base URL avots, ключ, модель і контекст, і спілкуйтеся зі своїми документами на avots.
AnythingLLM має провайдера Generic OpenAI для будь-якого OpenAI-сумісного endpoint. Спрямуйте його на 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 |
Перейдіть до Settings → AI Providers → LLM і виберіть Generic OpenAI як провайдера.
Задайте Base URL як https://api.avots.ai/openai/v1, API Key як ваш ключ av_mcp_, а Chat Model Name як anthropic/claude-sonnet-4.6.
Введіть Token context window для вашої моделі і значення Max Tokens, потім збережіть.
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 не має автовиявлення моделей, введіть точне Chat Model Name вручну. Задайте Token context window і Max Tokens правильно, неправильні значення мовчки обрізають чи призводять до помилок. Це налаштовує лише чат-LLM, ембединги, це окремий провайдер.
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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