openclaw con Claude, GPT y Gemini

Añade un proveedor OpenAI-compatible a openclaw.json que apunte a avots, y openclaw ejecuta cualquier modelo en un solo saldo.

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Connect in three fields

openclaw admite proveedores compatibles con OpenAI. Añade avots en openclaw.json y configúralo como modelo por defecto.

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. Edita openclaw.json

Abre ~/.openclaw/openclaw.json y añade un proveedor bajo models.providers con la base URL de avots.

2. Configura la clave

export AVOTS_API_KEY=av_mcp_YOUR_KEY y referénciala como ${AVOTS_API_KEY} en la configuración.

3. Elige el modelo por defecto

Establece agents.defaults.model.primary en avots/claude-sonnet-4.6 (providerKey/id de modelo).

~/.openclaw/openclaw.json
{
  agents: { defaults: { model: { primary: "avots/claude-sonnet-4.6" } } },
  models: {
    providers: {
      avots: {
        baseUrl: "https://api.avots.ai/openai/v1",
        apiKey: "${AVOTS_API_KEY}",
        api: "openai-completions",
        models: [ { id: "anthropic/claude-sonnet-4.6", name: "Claude Sonnet 4.6" } ]
      }
    }
  }
}

También puedes reutilizar el proveedor integrado openai estableciendo su baseUrl y apiKey, o OPENAI_BASE_URL / OPENAI_API_KEY. openclaw avanza rápido, así que consulta docs.openclaw.ai si ha cambiado el nombre de alguna clave.

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!"}]
  }'

Model and MCP tools in one config

openclaw keeps the chat provider and MCP servers in the same file, so you paste both at once and get Claude, GPT and Gemini plus the avots creative tools (image, video, audio, talking avatars) on one av_mcp_ key. You save it yourself, nothing is added automatically.

~/.openclaw/openclaw.json, model + MCP tools
{
  agents: { defaults: { model: { primary: "avots/claude-sonnet-4.6" } } },
  models: {
    providers: {
      avots: {
        baseUrl: "https://api.avots.ai/openai/v1",
        apiKey: "${AVOTS_API_KEY}",
        api: "openai-completions",
        models: [ { id: "anthropic/claude-sonnet-4.6", name: "Claude Sonnet 4.6" } ]
      }
    }
  },
  mcp: {
    servers: {
      avots: {
        url: "https://mcp.avots.ai/",
        transport: "streamable-http",
        headers: { Authorization: "Bearer ${AVOTS_API_KEY}" }
      }
    }
  }
}

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.

openclaw 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

¿Dónde va el proveedor?
Bajo models.providers en ~/.openclaw/openclaw.json. El modelo por defecto es agents.defaults.model.primary.
¿Qué valor de api uso?
Usa "openai-completions" para un endpoint compatible con OpenAI como avots.
¿Puedo usar variables de entorno en su lugar?
Sí, el proveedor integrado openai lee OPENAI_BASE_URL y OPENAI_API_KEY.
¿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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