1. Abre los ajustes de Hermes
En el Hermes Agent CLI ejecuta hermes model y elige Custom Endpoint, o abre la pantalla de Settings en una build de escritorio de Hermes.
Define la base URL OpenAI y tu clave av_mcp_ en Hermes, elige un modelo, y funciona sobre avots con 40+ modelos en un solo saldo.
Hermes funciona con cualquier API compatible con OpenAI. Apúntalo a avots con una base URL, una clave y un modelo.
| 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 |
En el Hermes Agent CLI ejecuta hermes model y elige Custom Endpoint, o abre la pantalla de Settings en una build de escritorio de Hermes.
Introduce https://api.avots.ai/openai/v1 como endpoint y tu clave av_mcp_ como clave de API. En builds basadas en .env usa BASE_URL y OPENAI_API_KEY.
Establece el modelo en anthropic/claude-sonnet-4.6, o cualquier id de la tabla.
BASE_URL=https://api.avots.ai/openai/v1
OPENAI_API_KEY=av_mcp_YOUR_KEY
MODEL=anthropic/claude-sonnet-4.6
Hermes se distribuye en varias variantes (el Hermes Agent CLI y forks de escritorio de la comunidad), y los nombres de los campos difieren ligeramente según la build (BASE_URL, API Endpoint, etc.). Las constantes son siempre la base URL de avots, tu clave av_mcp_ y un id de modelo; consulta el README de tu build para la etiqueta exacta.
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 Hermes 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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