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DB-GPT is an open-source AI-native data app framework (chat-to-data, agents, RAG). Its proxy/openai model provider targets any OpenAI-compatible endpoint, so it runs on the ScitiX Model Inference API. Default model here is glm-5.2; see the Models page for the full list and pricing. Deploy DB-GPT per the official guide — the lightweight dbgpt-openai image is the proxy-only build (no local GPU model) and is the right base for ScitiX.

Configure

Models in DB-GPT are defined server-side in a TOML config, not in the UI. Use the proxy/openai provider and the shipped configs/dbgpt-proxy-openai.toml config. This is the path for OpenAI-compatible endpoints like ScitiX, and the proxy-only dbgpt-openai build needs no local GPU model. The config already reads every value from the environment, so point it at ScitiX by setting these variables. Start the server with --config configs/dbgpt-proxy-openai.toml.
Create an API key on the ScitiX API Keys page, then set:

Verify

Start the web server and open the UI (default http://localhost:5670). In a chat, the model selector shows glm-5.2 — send a message and a normal reply confirms the connection. DB-GPT chat on glm-5.2 served through ScitiX The reply comes back as the “DB-GPT assistant” persona. That is DB-GPT’s own agent framing, not a routing issue; the Model: glm-5.2 label under the message confirms the ScitiX model in use. Verified on DB-GPT v0.8.1.