1. Ustaw zmienne środowiskowe
Wyeksportuj OPENAI_API_BASE na bazowy adres URL avots, a OPENAI_API_KEY na swój klucz av_mcp_.
Wyeksportuj dwie zmienne środowiskowe i uruchom Aider z prefiksem modelu openai/, a programista-partner w wierszu poleceń będzie kodował przez avots.
Aider komunikuje się z każdym endpointem zgodnym z OpenAI za pomocą dwóch zmiennych środowiskowych i prefiksu litellm openai/.
| 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 |
Wyeksportuj OPENAI_API_BASE na bazowy adres URL avots, a OPENAI_API_KEY na swój klucz av_mcp_.
Uruchom aider z --model openai/anthropic/claude-sonnet-4.6. Prefiks openai/ kieruje przez ścieżkę zgodną z OpenAI.
Otwórz pliki i wpisuj polecenia jak zwykle. Zamień identyfikator po openai/, aby użyć dowolnego modelu z tabeli.
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
Prefiks openai/ jest obowiązkowy, mówi litellm (zapleczu Aider), aby użył ścieżki /chat/completions zgodnej z OpenAI, a reszta, anthropic/claude-sonnet-4.6, to przekazywany identyfikator modelu. Aider może wypisać nieszkodliwe ostrzeżenie model not known; ustaw limity w .aider.model.settings.yml, jeśli domyślne są błędne.
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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