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-likegrok_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/