Configuration - Mistral AI

· Source: mistral.ai via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, short

Summary

The Vibe Code CLI is configured through a `config.toml` file, found at project-level (`./.vibe/config.toml`) or user-level (`~/.vibe/config.toml`), with project settings overriding user settings. This file is accessible via OS-specific commands or the `/config` slash command. The CLI's default configuration and state directory, `~/.vibe/`, can be customized using the `VIBE_HOME` environment variable, which impacts `config.toml`, `.env`, and related directories for agents, prompts, skills, tools, and logs. Command-line flags like `--workdir` also define project context. Key `config.toml` sections allow setting a `default_agent`, defining `providers` and `models` (e.g., `active_model = "devstral-openrouter"`), configuring `MCP servers`, managing `skills` (e.g., `enabled_skills = ["code-review", "test-*"]`), and setting `tool permissions and filters` (e.g., `enabled_tools = ["serena_*"]`). Update and telemetry settings, including `enable_auto_update`, `enable_notifications`, and `enable_telemetry` (all defaulting to `true`), are also configurable. Configuration precedence prioritizes command-line flags, then environment variables, followed by project-level, and finally user-level `config.toml`.

Key takeaway

For AI Engineers managing Vibe Code CLI deployments, understanding its configuration hierarchy is crucial for predictable behavior. You should explicitly define `config.toml` settings at the project level for specific project requirements, ensuring they override user-level defaults. Leverage `VIBE_HOME` to standardize your Vibe environment across projects and use command-line flags for session-specific overrides. Regularly review `enabled_skills` and `tool permissions` to maintain agent control and security, and consider disabling telemetry if an offline-only setup is required.

Key insights

Vibe Code CLI configuration is managed through a hierarchical `config.toml` system, environment variables, and command-line flags.

Principles

Method

Configure Vibe Code CLI by editing `config.toml` at user or project level, setting `VIBE_HOME`, or using command-line flags to define agents, models, skills, and tool permissions.

In practice

Topics

Best for: AI Engineer, Machine Learning Engineer, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by mistral.ai via Google News.