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Langflow is a popular visual builder for LLM apps and agents. Its OpenAI Compatible model provider takes a custom base URL, so flows can run on the ScitiX Model Inference API. Default model here is glm-5.2; see the Models page for the full list and pricing. Deploy Langflow per the official guide (pip install langflow, then langflow run), and open the UI (default http://localhost:7860).

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Configure

Create an API key on the ScitiX API Keys page. Open Settings → Model providers, pick OpenAI Compatible, and fill in: Use the OpenAI Compatible provider, not OpenAI. The former exposes the Base URL field needed for a custom endpoint like ScitiX. Once connected, ScitiX models load into the provider — search for glm-5.2 and toggle it on. Langflow — OpenAI Compatible provider pointed at ScitiX, glm-5.2 enabled In a flow, the Agent or Language Model node’s Language Model dropdown then lists glm-5.2 — select it. Models are enabled per-provider in Model providers; if glm-5.2 isn’t in a node’s dropdown, confirm it’s toggled on there. For agent flows, pick a tool-calling model; glm-5.2 shows a tool tag and supports the Agent node’s tool calling.

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Verify

Open a flow, such as the Simple Agent template, set the model to glm-5.2, open the Playground, and send a message — a normal reply confirms the connection. Langflow Playground — replying via ScitiX glm-5.2 Verified on Langflow 1.11.3.