Hermes con Claude, GPT y Gemini

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.

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Connect in three fields

Hermes funciona con cualquier API compatible con OpenAI. Apúntalo a avots con una base URL, una clave y un modelo.

FieldValue
Base URLhttps://api.avots.ai/openai/v1
API keyav_mcp_… · get your key
Modelanthropic/claude-sonnet-4.6 or any id from the table below

Setup

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.

2. Configura base URL y clave

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.

3. Elige un modelo

Establece el modelo en anthropic/claude-sonnet-4.6, o cualquier id de la tabla.

Hermes · .env (desktop builds)
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.

Example request

curl
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!"}]
  }'

The same key also unlocks MCP tools

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.

FieldValue
MCP serverhttps://mcp.avots.ai/
API keyav_mcp_… · same key as above

MCP setup guide →

Models and prices

Set the model field to any id below, or a lazy name like claude / gpt / gemini that maps to a sensible default.

ModelBest for⚡ / 1M tokens (in / out)
openai/gpt-5.5-proMax intelligence, hardest tasks60 000 / 360 000
anthropic/claude-opus-5Top Claude, long reasoning10 000 / 50 000
anthropic/claude-sonnet-4.6Balanced (default)6 000 / 30 000
google/gemini-3.1-pro-previewFresh Gemini Pro4 000 / 24 000
google/gemini-2.5-proStable Gemini Pro2 500 / 20 000
anthropic/claude-haiku-4.5Fast Claude2 000 / 10 000
deepseek/deepseek-r1Cheap reasoning1 400 / 5 000
google/gemini-2.5-flashFast and cheap600 / 5 000
openai/gpt-5-miniCheap OpenAI500 / 4 000
openai/gpt-oss-120b:freeFree (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.

Hermes con Claude, GPT y Gemini

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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FAQ

Preguntas

¿Qué Hermes es este?
Cualquier cliente Hermes compatible con OpenAI, el Hermes Agent CLI o un fork de escritorio. La configuración es la misma: base URL, clave y modelo.
¿CLI o escritorio?
Ambos. El CLI usa hermes model → Custom Endpoint; las builds de escritorio exponen campos en Settings o un .env.
¿Y si mi campo tiene otro nombre?
Las etiquetas varían según la build (BASE_URL frente a API Endpoint). Pon la base URL de avots donde vaya la base URL de OpenAI.
¿Cómo se factura?
Por solicitud desde tu saldo de avots.
Does it support function calling and tools?
Yes. The endpoint forwards the standard OpenAI tools, tool_choice and parallel_tool_calls fields (and the legacy functions/function_call), in both streaming and non-streaming mode, so agent frameworks like LangChain, LlamaIndex, Langflow and n8n get real tool_calls back. Whether a given request uses tools depends on the model you pick: Claude, GPT and Gemini all support function calling.

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