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Copy file name to clipboardExpand all lines: docs/docs/configuration/language-model-providers.mdx
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@@ -157,6 +157,10 @@ The `reasoningSummary` field controls whether the model returns its reasoning pr
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[Vercel AI SDK Google Generative AI Docs](https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai)
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The `thinkingLevel` field controls the depth of reasoning for Gemini 3 models. Valid values are `minimal`, `low`, `medium`, and `high`. See [thinking levels](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels).
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The `thinkingBudget` field sets the number of thinking tokens for Gemini 2.5 models. Set to `-1` for dynamic thinking. See [thinking budget](https://ai.google.dev/gemini-api/docs/thinking#set-budget).
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```json wrap icon="code" Example config with Google Generative AI provider
"thinkingBudget": -1// number of thinking tokens, -1 for dynamic (Gemini 2.5 models)
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}
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]
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}
@@ -181,6 +187,10 @@ The `reasoningSummary` field controls whether the model returns its reasoning pr
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[Vercel AI SDK Google Vertex AI Docs](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)
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The `thinkingLevel` field controls the depth of reasoning for Gemini 3 models. Valid values are `minimal`, `low`, `medium`, and `high`. See [thinking levels](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels).
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The `thinkingBudget` field sets the number of thinking tokens for Gemini 2.5 models. Set to `-1` for dynamic thinking. See [thinking budget](https://ai.google.dev/gemini-api/docs/thinking#set-budget).
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```json wrap icon="code" Example config with Google Vertex provider
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