LazyLLM - ScitiX

LazyLLM is an open-source low-code LLM application development framework from SenseTime. Its OnlineChatModule supports custom OpenAI-compatible endpoints, so you can connect LazyLLM to ScitiX Model Inference. This guide uses glm-5.2 as an example. For the full model list and pricing, see Models.

Configure

Create an API Key on the API Keys page. After installing lazyllm, create an online model with source="openai" and point it to ScitiX:

import lazyllm

m = lazyllm.OnlineChatModule(
    source="openai",
    model="glm-5.2",
    url="https://api.scitix.ai/model-api/v1",
    api_key="<YOUR_API_KEY>",
)

Field	Description
`source`	Use `openai` to call through the OpenAI-compatible protocol.
`model`	ScitiX model ID, such as `glm-5.2`
`url`	ScitiX OpenAI-compatible base URL with `/v1`: `https://api.scitix.ai/model-api/v1`
`api_key`	Your API Key created on the API Keys page

Verify

Call the model. A normal response confirms that the connection works. This configuration has been verified with lazyllm 1.3.0.

print(m("Introduce yourself in one sentence."))

FAQ

source and url: Use source="openai" and set url to the base URL with /v1: https://api.scitix.ai/model-api/v1.
Model IDs: The model value is passed through to the upstream service. If the model ID is incorrect, the upstream service returns 404 model_not_found. Use IDs from the Models page.
Tool or agent capabilities: Choose a model that supports tool calling. glm-5.2 supports tool calling.