Aider with Claude, GPT and Gemini

Export two environment variables and launch Aider with an openai/ model prefix, and the CLI pair programmer codes through avots.

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Connect in three fields

Aider talks to any OpenAI-compatible endpoint through two env vars and the litellm openai/ prefix.

FieldValue
Base URLhttps://api.avots.ai/openai/v1
API keyav_mcp_… · get your key
Modelanthropic/claude-sonnet-4.6 or any id from the table below

Setup

1. Set the env vars

Export OPENAI_API_BASE to the avots base URL and OPENAI_API_KEY to your av_mcp_ key.

2. Launch with a model

Run aider with --model openai/anthropic/claude-sonnet-4.6. The openai/ prefix routes through the OpenAI-compatible path.

3. Start coding

Open files and prompt as usual. Swap the id after openai/ to use any model from the table.

shell
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

The openai/ prefix is mandatory, it tells litellm (the Aider backend) to use the OpenAI-compatible /chat/completions path, while the rest, anthropic/claude-sonnet-4.6, is the model id passed through. Aider may print a harmless model not known warning; set limits in .aider.model.settings.yml if defaults are wrong.

Example request

curl
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!"}]
  }'

The same key also unlocks MCP tools

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.

FieldValue
MCP serverhttps://mcp.avots.ai/
API keyav_mcp_… · same key as above

MCP setup guide →

Models and prices

Set the model field to any id below, or a lazy name like claude / gpt / gemini that maps to a sensible default.

ModelBest for⚡ / 1M tokens (in / out)
openai/gpt-5.5-proMax intelligence, hardest tasks60 000 / 360 000
anthropic/claude-opus-5Top Claude, long reasoning10 000 / 50 000
anthropic/claude-sonnet-4.6Balanced (default)6 000 / 30 000
google/gemini-3.1-pro-previewFresh Gemini Pro4 000 / 24 000
google/gemini-2.5-proStable Gemini Pro2 500 / 20 000
anthropic/claude-haiku-4.5Fast Claude2 000 / 10 000
deepseek/deepseek-r1Cheap reasoning1 400 / 5 000
google/gemini-2.5-flashFast and cheap600 / 5 000
openai/gpt-5-miniCheap OpenAI500 / 4 000
openai/gpt-oss-120b:freeFree (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.

Aider with Claude, GPT and Gemini

Generate an av_mcp_ key in Settings, paste three fields, and reach 40+ models on one balance. The same key works for MCP.

Get your API key ✦
FAQ

Questions

Why the openai/ prefix?
It tells litellm to use the OpenAI-compatible endpoint. Without it Aider does not know to call /chat/completions on your base URL.
Env vars or flags?
Either. OPENAI_API_BASE and OPENAI_API_KEY, or the --openai-api-base and --openai-api-key flags.
Aider says the model is unknown?
That warning is cosmetic and the request still runs. Tune context and output limits in .aider.model.settings.yml if needed.
How is it billed?
Per request from your avots balance.
Does it support function calling and tools?
Yes. The endpoint forwards the standard OpenAI tools, tool_choice and parallel_tool_calls fields (and the legacy functions/function_call), in both streaming and non-streaming mode, so agent frameworks like LangChain, LlamaIndex, Langflow and n8n get real tool_calls back. Whether a given request uses tools depends on the model you pick: Claude, GPT and Gemini all support function calling.

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