Gemini
Give the Sazabi agent the Gemini CLI (gemini) in its sandbox for AI-powered coding with Google's Gemini models.
All Gemini integration capabilities
About
This CLI connection makes the Gemini CLI (gemini) available in the Sazabi agent's sandbox. The agent can use it for AI-powered coding. The tool is baked into the sandbox image; connecting it authenticates the already-installed CLI.
Prerequisites
- A Sazabi project.
- A Gemini API key (
GEMINI_API_KEY), available from Google AI Studio.
Set up in the dashboard
Configure the sandbox in the dashboard under Settings > Sandbox CLIs.
Find Gemini in the catalog
In Settings > Sandbox CLIs, find Gemini under Browse sandbox CLIs and choose to connect it.
Provide credentials
Enter the required value: GEMINI_API_KEY — your Gemini API key from Google AI Studio. Save to store it securely; Sazabi injects it into the sandbox when the agent runs.
Set up with the CLI
You can also configure the Gemini CLI connection with the Sazabi CLI (installed and authenticated — see CLI reference).
sazabi sandbox-clis connect gemini-cli --env GEMINI_API_KEY=<your-gemini-key>To validate the credentials without saving, run the same command with test in place of connect (the test command also requires the --env flags).
Verify
Ask the agent, in a thread, to run the gemini CLI (a read-only or status command) and confirm it returns real output from your account. If the command is not found, the CLI connection may not be enabled; if it runs unauthenticated, recheck the credentials.
Troubleshooting
Command not found — Confirm the Gemini CLI connection is enabled for the project under Settings > Sandbox CLIs.
Authentication fails — Recheck the credential values; a rotated or revoked token must be re-entered under Settings > Sandbox CLIs or with sazabi sandbox-clis connect gemini-cli.