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docs: document GEMINI_CLI_HOME environment variable (#18219)
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@@ -203,6 +203,23 @@ with the actual Gemini CLI process, which inherits the environment variable.
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This makes it significantly more difficult for a user to bypass the enforced
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settings.
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## User isolation in shared environments
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In shared compute environments (like ML experiment runners or shared build
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servers), you can isolate Gemini CLI state by overriding the user's home
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directory.
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By default, Gemini CLI stores configuration and history in `~/.gemini`. You can
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use the `GEMINI_CLI_HOME` environment variable to point to a unique directory
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for a specific user or job. The CLI will create a `.gemini` folder inside the
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specified path.
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```bash
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# Isolate state for a specific job
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export GEMINI_CLI_HOME="/tmp/gemini-job-123"
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gemini
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```
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## Restricting tool access
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You can significantly enhance security by controlling which tools the Gemini
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@@ -1176,6 +1176,13 @@ the `advanced.excludedEnvVars` setting in your `settings.json` file.
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- Specifies the default Gemini model to use.
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- Overrides the hardcoded default
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- Example: `export GEMINI_MODEL="gemini-3-flash-preview"`
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- **`GEMINI_CLI_HOME`**:
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- Specifies the root directory for Gemini CLI's user-level configuration and
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storage.
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- By default, this is the user's system home directory. The CLI will create a
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`.gemini` folder inside this directory.
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- Useful for shared compute environments or keeping CLI state isolated.
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- Example: `export GEMINI_CLI_HOME="/path/to/user/config"`
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- **`GOOGLE_API_KEY`**:
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- Your Google Cloud API key.
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- Required for using Vertex AI in express mode.
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