What is Tabby?
Tabby is a self-hosted AI coding assistant — code completion and chat for your whole team from one server you run. Its chat model is configured as an HTTP endpoint in config.toml, so you can point it at any OpenAI-compatible API, including Tokonomix.
- Runs as a server (Docker) and serves completion + chat to every developer on the instance.
- The chat model is an HTTP endpoint —
kind = "openai/chat"with anapi_endpoint. - One change in
config.tomlupdates the model for the whole team. - Open source and self-hosted — your data stays on your server.
Why route Tabby’s chat through Tokonomix?
- Give every developer on the instance a
tokonomix-consensus-backed chat answer. - One key, 130+ models — swap the chat model centrally without per-user keys.
- Per-call spend caps bound team-wide usage; cost is metered in your dashboard.
- Route by
hosting_region/origin_countryfor the whole instance.
Connect Tokonomix in config.toml
Set the chat model’s HTTP endpoint to Tokonomix. (Tokonomix powers the chat model; Tabby’s completion model is a separate setting.)
# config.toml (Tabby server)
[model.chat.http]
kind = "openai/chat"
api_endpoint = "https://tokonomix.ai/api/v1"
api_key = "tok_live_your-key"
model_name = "tokonomix-consensus"Verify it works
- Restart the Tabby server after editing
config.toml. - Open the chat panel and ask a question.
- Confirm the call and token usage appear in your Tokonomix dashboard.

