1. Abre los ajustes de LLM
Ve a Settings → AI Providers → LLM y elige Generic OpenAI como proveedor.
Elige Generic OpenAI como proveedor de LLM en AnythingLLM, rellena la base URL de avots, la clave, el modelo y el contexto, y chatea con tus documentos sobre avots.
AnythingLLM tiene un proveedor Generic OpenAI para cualquier endpoint compatible con OpenAI. Apúntalo a 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 |
Ve a Settings → AI Providers → LLM y elige Generic OpenAI como proveedor.
Establece Base URL en https://api.avots.ai/openai/v1, API Key en tu clave av_mcp_, y Chat Model Name en anthropic/claude-sonnet-4.6.
Introduce la Token context window de tu modelo y un valor de Max Tokens, luego guarda.
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 no tiene descubrimiento automático de modelos, escribe el Chat Model Name exacto a mano. Configura correctamente la Token context window y Max Tokens, los valores erróneos truncan en silencio o dan error. Esto configura solo el LLM de chat, los embeddings son un proveedor aparte.
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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