chore: import upstream snapshot with attribution
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# Model routing
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Gemini CLI includes a model routing feature that automatically switches to a
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fallback model in case of a model failure. This feature is enabled by default
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and provides resilience when the primary model is unavailable.
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## How it works
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Model routing is managed by the `ModelAvailabilityService`, which monitors model
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health and automatically routes requests to available models based on defined
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policies.
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1. **Model failure:** If the currently selected model fails (for example, due
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to quota or server errors), the CLI will initiate the fallback process.
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2. **User consent:** Depending on the failure and the model's policy, the CLI
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may prompt you to switch to a fallback model (by default always prompts
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you).
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Some internal utility calls (such as prompt completion and classification)
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use a silent fallback chain for `gemini-2.5-flash-lite` and will fall back
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to `gemini-2.5-flash` and `gemini-2.5-pro` without prompting or changing the
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configured model.
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3. **Model switch:** If approved, or if the policy allows for silent fallback,
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the CLI will use an available fallback model for the current turn or the
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remainder of the session.
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### Local Model Routing (Experimental)
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Gemini CLI supports using a local model for routing decisions. When configured,
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Gemini CLI will use a locally-running **Gemma** model to make routing decisions
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(instead of sending routing decisions to a hosted model). This feature can help
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reduce costs associated with hosted model usage while offering similar routing
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decision latency and quality.
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The easiest way to set this up is using the automated `gemini gemma setup`
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command.
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For more details on how to configure local model routing, see
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[`gemini gemma` — Local Model Routing Setup](../core/gemma-setup.md).
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### Model selection precedence
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The model used by Gemini CLI is determined by the following order of precedence:
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1. **`--model` command-line flag:** A model specified with the `--model` flag
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when launching the CLI will always be used.
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2. **`GEMINI_MODEL` environment variable:** If the `--model` flag is not used,
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the CLI will use the model specified in the `GEMINI_MODEL` environment
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variable.
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3. **`model.name` in `settings.json`:** If neither of the above are set, the
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model specified in the `model.name` property of your `settings.json` file
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will be used.
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4. **Local model (experimental):** If the Gemma local model router is enabled
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in your `settings.json` file, the CLI will use the local Gemma model
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(instead of Gemini models) to route the request to an appropriate model.
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5. **Default model:** If none of the above are set, the default model will be
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used. The default model is `auto`
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