1. API-Panel öffnen
Öffnen Sie in SillyTavern das API-Verbindungspanel und setzen Sie API auf Chat Completion.
Wählen Sie Custom (OpenAI-compatible) als Chat Completion Source in SillyTavern, fügen Sie den avots-Endpoint und Ihren av_mcp_ Schlüssel ein und wählen Sie ein Modell.
SillyTavern spricht das OpenAI Chat Completion Format. Richten Sie seine benutzerdefinierte Source auf 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 |
Öffnen Sie in SillyTavern das API-Verbindungspanel und setzen Sie API auf Chat Completion.
Setzen Sie Chat Completion Source auf Custom (OpenAI-compatible).
Tragen Sie https://api.avots.ai/openai/v1 als Custom Endpoint und Ihren av_mcp_ Schlüssel als Custom API Key ein, dann wählen Sie anthropic/claude-sonnet-4.6.
Chat Completion Source: Custom (OpenAI-compatible)
Custom Endpoint (Base URL): https://api.avots.ai/openai/v1
Custom API Key: av_mcp_YOUR_KEY
Model: anthropic/claude-sonnet-4.6
Behalten Sie /v1 in der URL, hängen Sie aber nicht /chat/completions an, das fügt SillyTavern selbst hinzu. Wenn der Endpoint /v1/models bedient, wird Model zu einem Dropdown, andernfalls tippen Sie die ID. Wenn eine Statusprüfung fälschlich fehlschlägt, aktivieren Sie Bypass API status check.
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 SillyTavern 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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