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LlamaIndex Framework
Integrations
Llm

Grok 4

Grok from xAI uses an OpenAI-compatible API, so you can use it with the OpenAILike integration class.

!pip install llama-index-llms-openai-like
grok_api_key = "xai-xxxxxxxx"
from llama_index.llms.openai_like import OpenAILike
llm = OpenAILike(
model="grok-4-0709",
api_base="https://api.x.ai/v1",
api_key=grok_api_key,
context_window=128000,
is_chat_model=True,
is_function_calling_model=False,
)
response = llm.complete("Hello World!")
print(str(response))
Hello World! 🌍 That's the universal greeting for programmers everywhere. What adventure brings you here today? 😊
Note for AI agents: this documentation is built for programmatic access. - Overview of all docs: https://developers.llamaindex.ai/llms.txt - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/