xAI's Grok Build offers various configurations accessible via its Terminal User Interface (TUI) under /settings or through a config.toml file. These settings are persisted in ~/.grok/config.toml or %USERPROFILE%\.grok\config.toml on Windows. For advanced API usage, xAI has introduced a WebSocket mode for its Responses API, designed to reduce latency in agentic workloads.
According to xAI, the Grok 4.6 model is built for coding, agentic tasks, and knowledge work, featuring a 500k context window. The new WebSocket mode aims to support such agentic workloads, particularly those involving numerous sequential tool calls.
Key Points
- Grok Build configurations are managed via a TUI (
/settings) or aconfig.tomlfile. - The
config.tomlfile is located at~/.grok/config.tomlor%USERPROFILE%\.grok\config.toml. - The
$GROK_HOMEenvironment variable can set the default home directory for configuration files. - xAI's Grok 4.6 model is designed for coding, agentic tasks, and knowledge work.
- A new WebSocket mode for the Responses API is available for lower-latency, tool-call-heavy workflows.
- WebSocket mode maintains a persistent connection, sending only new input and a
previous_response_idfor subsequent turns. - This mode is intended for agentic workloads with many sequential tool calls, such as coding agents or orchestration loops.
Context
xAI states that Grok Build configurations include scopes, starter samples, and links to TOML and environment variable references. Project configurations are limited to MCP servers, plugins, and permission rules, not full user configurations. For enterprise deployments, managed locks and headless modes are available. The Grok 4.6 model, a frontier model from xAI, offers a 500k context and is accessible via API by setting the model name to grok-4.6.
Why It Matters
Builders can now fine-tune their Grok Build environment and leverage a new WebSocket mode for the Responses API, which can significantly improve performance for complex agentic applications. This capability is particularly relevant for developers creating tools that require frequent, low-latency interactions with the model, such as those involving extensive tool use or iterative processes.
What To Do
- Review the xAI documentation for Grok Build settings to understand configuration options.
- Test the WebSocket mode with the Responses API for agentic workloads that involve many sequential tool calls.
- Compare the performance of WebSocket mode against repeated HTTP requests for your specific agentic applications.
- Note the
grok inspectcommand to confirm which configurations are being used by Grok Build.
