1. Umgebungsvariablen setzen
Exportieren Sie OPENAI_API_BASE auf die avots-Basis-URL und OPENAI_API_KEY auf Ihren av_mcp_ Schlüssel.
Exportieren Sie zwei Umgebungsvariablen und starten Sie Aider mit einem openai/ Modellpräfix, und der CLI-Pair-Programmer programmiert über avots.
Aider spricht mit jedem OpenAI-kompatiblen Endpoint über zwei Umgebungsvariablen und das litellm openai/ Präfix.
| 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 |
Exportieren Sie OPENAI_API_BASE auf die avots-Basis-URL und OPENAI_API_KEY auf Ihren av_mcp_ Schlüssel.
Führen Sie aider mit --model openai/anthropic/claude-sonnet-4.6 aus. Das openai/ Präfix leitet über den OpenAI-kompatiblen Pfad.
Öffnen Sie Dateien und schreiben Sie Prompts wie gewohnt. Tauschen Sie die ID nach openai/ aus, um ein beliebiges Modell aus der Tabelle zu nutzen.
export OPENAI_API_BASE=https://api.avots.ai/openai/v1
export OPENAI_API_KEY=av_mcp_YOUR_KEY
aider --model openai/anthropic/claude-sonnet-4.6
Das openai/ Präfix ist obligatorisch, es weist litellm (das Aider-Backend) an, den OpenAI-kompatiblen Pfad /chat/completions zu nutzen, während der Rest, anthropic/claude-sonnet-4.6, die durchgereichte Modell-ID ist. Aider gibt womöglich eine harmlose model not known Warnung aus; setzen Sie Grenzwerte in .aider.model.settings.yml, falls die Standardwerte falsch sind.
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 Aider 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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