LangChain - ScitiX

LangChain is the most widely used LLM application framework. Its langchain-openai integration accepts a custom base_url, so ChatOpenAI 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.

Configure

Create an API key on the ScitiX API Keys page and export it:

export SCITIX_API_KEY="<Your API Key>"

Point ChatOpenAI from langchain-openai at the ScitiX endpoint:

import os
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="glm-5.2",
    base_url="https://api.scitix.ai/model-api/v1",
    api_key=os.environ["SCITIX_API_KEY"],
)

Field	Description
`model`	ScitiX model ID, e.g. `glm-5.2`
`base_url`	ScitiX OpenAI-compatible endpoint: `https://api.scitix.ai/model-api/v1`. LangChain appends `/chat/completions`.
`api_key`	Your ScitiX API key, read from the environment

Use ChatOpenAI from langchain-openai, not the legacy OpenAI completion class. Choose a model with native tool calling for LangChain tool/agent features, such as bind_tools.

Verify

Invoke the model — a normal reply confirms the connection (verified on langchain-openai 1.4.3):

print(llm.invoke("In one short sentence, which model are you?").content)
# → I am a GLM large language model developed by Z.ai.