1. Benutzerdefinierten Anbieter hinzufügen
Öffnen Sie Settings → Model Provider → Add und wählen Sie OpenAI API compatible.
Fügen Sie einen benutzerdefinierten OpenAI API compatible Anbieter in Chatbox hinzu, fügen Sie den avots-Host und Ihren av_mcp_ Schlüssel ein, fügen Sie ein Modell hinzu und chatten Sie auf Desktop oder Mobil.
Chatbox kann einen benutzerdefinierten OpenAI-kompatiblen Anbieter hinzufügen. Ein Detail zählt, der Host hat kein /v1.
| 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 |
Öffnen Sie Settings → Model Provider → Add und wählen Sie OpenAI API compatible.
Setzen Sie API Host auf https://api.avots.ai/openai (kein /v1), lassen Sie API Path leer und fügen Sie Ihren av_mcp_ Schlüssel ein.
Fügen Sie die Modell-ID anthropic/claude-sonnet-4.6 von Hand hinzu, dann prüfen Sie die Verbindung mit Check.
Provider type: OpenAI API compatible
Name: avots
API Host: https://api.avots.ai/openai (no /v1)
API Path: (leave blank)
API Key: av_mcp_YOUR_KEY
Model: anthropic/claude-sonnet-4.6
Wichtig, Chatbox hängt automatisch /v1/chat/completions an den API Host an, geben Sie den Host also ohne abschließendes /v1 ein (https://api.avots.ai/openai). Das Einfügen der vollständigen /v1 URL verdoppelt den Pfad. Modelle werden nicht automatisch erkannt, fügen Sie jede ID von Hand hinzu.
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 Chatbox 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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