Unity AI Gateway Coding CLI (ucode)

ucode is a lightweight launcher for running Codex, Claude Code, Gemini CLI, OpenCode, GitHub Copilot CLI, and Pi through Databricks.

Requirements

• Python 3.12+ — install with uv (uv.astral.sh)
• npm if tool CLIs need to be installed automatically

Installation

uv tool install git+https://github.com/databricks/ucode

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Usage

Just run the tool you want:

ucode codex      # OpenAI Codex
ucode claude     # Claude Code
ucode gemini     # Gemini CLI
ucode opencode   # OpenCode
ucode copilot    # GitHub Copilot CLI
ucode pi         # Pi

On first launch, ucode will prompt for your Databricks workspace URL, authenticate, and configure that tool automatically. Subsequent launches go straight to the agent.

Pass flags directly to the underlying tool:

ucode claude -r          # resume last session
ucode codex --full-auto

All agents route through Databricks AI Gateway using your workspace credentials — no API keys required.

To configure all tools at once:

ucode configure

To configure specific tools without the picker, pass a comma-separated list:

ucode configure --agents claude,codex

Available agent names are codex, claude, gemini, opencode, copilot, and pi.

To configure without the workspace picker, pass a comma-separated list of workspaces:

ucode configure --workspaces https://first.databricks.com,https://second.databricks.com

When multiple workspaces are provided, ucode logs into and saves state for each workspace. Launch commands such as ucode codex use the first workspace in the list.

Alternatively, pass existing Databricks CLI profiles (from ~/.databrickscfg) instead of workspace URLs — each profile's host supplies the workspace URL:

ucode configure --profiles DEFAULT --agents claude,codex

Auth behaves the same as --workspaces: an OAuth databricks auth login is forced by default.

For CI or headless environments where the profile holds a personal access token (auth_type = pat in ~/.databrickscfg), add --use-pat. It must be combined with --profiles — ucode never picks up a PAT implicitly — and runs no interactive login: the profile's token is used for the whole setup (and by launched agents afterwards), with workspace access verified against the AI Gateway. --skip-validate additionally skips the post-configure test message sent through each agent, so configure only writes config files with the freshly discovered models. Together these make setup fully non-interactive:

ucode configure --profiles DEFAULT --agents claude,codex --use-pat --skip-validate --skip-upgrade

MCP servers (optional)

ucode configure mcp

Add Databricks MCP servers to installed MCP-capable tools: Codex, Claude Code, Gemini CLI, OpenCode, and GitHub Copilot CLI. Options are shown in this order:

• Discovered external MCP connections
• Databricks SQL
• Managed Databricks MCPs (Vector Search, UC Functions, etc.)
• Custom MCP server URL

Discovered external MCP connections are listed directly. MCP auth uses a Databricks token that ucode sets when launching each tool.

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Other Commands

Command	Description
ucode status	Show current workspace, base URLs, managed config files, and selected models
ucode usage	Show AI Gateway usage summary
ucode revert	Clear saved state and restore backed-up config files
ucode configure --dry-run	Preview config files without writing them
ucode configure --agents claude,codex	Configure specific agents without the interactive picker
ucode configure --workspaces https://first.databricks.com,https://second.databricks.com	Configure workspaces without the interactive picker
ucode configure --profiles DEFAULT	Configure using existing Databricks CLI profiles (hosts come from ~/.databrickscfg)
ucode configure --profiles DEFAULT --use-pat	Authenticate with the profile's personal access token — no browser login
ucode configure --skip-validate	Write configs without sending a test message through each agent

Managed Local Files

ucode manages these files:

File	Tool
~/.codex/config.toml	Codex
~/.claude/settings.json	Claude Code
~/.gemini/.env	Gemini CLI
~/.config/opencode/opencode.json	OpenCode
~/.copilot/.env	GitHub Copilot CLI
~/.pi/agent/models.json	Pi

Existing files are backed up before being overwritten. ucode revert restores backups.

Documentation

• Databricks AI Gateway overview
• Databricks AI Gateway coding agent integration
• Databricks CLI authentication
• Monitor AI Gateway usage

Contributing

Contributions are welcome.

Getting started

git clone https://github.com/databricks/ucode
cd ucode
uv sync

Development workflow

1. Create a feature branch off main.

2. Make your changes — keep them scoped to the requested behavior.

3. Run the test suite before pushing:

   uv run pytest          # unit tests
   uv run ruff check .    # lint

4. For end-to-end testing against a real workspace:

   UCODE_TEST_WORKSPACE=<db_workspace_url> uv run pytest tests/test_e2e.py -v

5. Open a pull request against main.

Adding a new agent

• Add src/ucode/agents/<name>.py with at least write_tool_config, launch, default_model, and validate_cmd.
• Register it in src/ucode/agents/__init__.py.
• Add focused tests under tests/.

Security

Please report security vulnerabilities to security@databricks.com rather than opening a public issue.

License

See LICENSE.md and NOTICE.md.