1. LLM-Einstellungen öffnen
Gehen Sie zu Settings → AI Providers → LLM und wählen Sie Generic OpenAI als Anbieter.
Wählen Sie Generic OpenAI als LLM-Anbieter in AnythingLLM, füllen Sie avots-Basis-URL, Schlüssel, Modell und Kontext aus und chatten Sie mit Ihren Dokumenten auf avots.
AnythingLLM hat einen Generic OpenAI Anbieter für jeden OpenAI-kompatiblen Endpoint. Richten Sie ihn 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 |
Gehen Sie zu Settings → AI Providers → LLM und wählen Sie Generic OpenAI als Anbieter.
Setzen Sie Base URL auf https://api.avots.ai/openai/v1, API Key auf Ihren av_mcp_ Schlüssel und Chat Model Name auf anthropic/claude-sonnet-4.6.
Tragen Sie das Token context window für Ihr Modell und einen Max Tokens Wert ein, dann speichern.
LLM Provider: Generic OpenAI
Base URL: https://api.avots.ai/openai/v1
API Key: av_mcp_YOUR_KEY
Chat Model Name: anthropic/claude-sonnet-4.6
Token context window: 200000
Max Tokens: 4096
Generic OpenAI hat keine automatische Modellerkennung, tippen Sie den exakten Chat Model Name von Hand. Setzen Sie das Token context window und Max Tokens korrekt, falsche Werte kürzen still oder führen zu Fehlern. Dies konfiguriert nur das Chat-LLM, Embeddings sind ein separater Anbieter.
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 AnythingLLM 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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