LlamaIndex - ScitiX

LlamaIndex is a leading data framework for RAG and agents. Its OpenAILike LLM class 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.

Configure

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

export SCITIX_API_KEY="<Your API Key>"

Install llama-index-llms-openai-like and build an OpenAILike LLM:

import os
from llama_index.llms.openai_like import OpenAILike

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

Field	Description
`model`	ScitiX model ID, e.g. `glm-5.2`
`api_base`	ScitiX OpenAI-compatible endpoint: `https://api.scitix.ai/model-api/v1`
`api_key`	Your ScitiX API key, read from the environment
`is_chat_model`	Set `True` so LlamaIndex uses the chat-completions API

Use OpenAILike, not OpenAI. The plain OpenAI class validates model IDs against OpenAI’s own list and rejects ScitiX model IDs. For embeddings/RAG, add a ScitiX embedding model, e.g. Qwen/Qwen3-Embedding-8B, via the matching LlamaIndex embedding integration.

Verify

Call the model — a normal reply confirms the connection (verified on llama-index-core 0.14.23, llama-index-llms-openai-like 0.7.2):

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