fix(gemini): upgrade @google/genai to support thinkingLevel for Gemini 3 models

The previous SDK version (1.29.1) did not include the `thinkingLevel` property
in `ThinkingConfig`, causing INVALID_ARGUMENT errors when using Gemini 3 Pro
and Flash models which require effort-based reasoning configuration via
`thinkingLevel`.

Changes:
- Update @google/genai from ^1.29.1 to ^1.30.0 (adds thinkingLevel support)
- Import ThinkingLevel enum and map lowercase effort values to SDK enum values
- Update GeminiReasoningParams type to use SDK's ThinkingConfig directly
- Update tests to expect uppercase ThinkingLevel enum values

.changeset/fix-gemini-3-thinking-level.md

@@ -0,0 +1,12 @@
+---
+"roo-cline": patch
+---
+
+fix(gemini): upgrade @google/genai to support thinkingLevel for Gemini 3 models
+
+The previous SDK version (1.29.1) did not include the `thinkingLevel` property in
+`ThinkingConfig`, causing INVALID_ARGUMENT errors when using Gemini 3 Pro and Flash
+models which require effort-based reasoning configuration via `thinkingLevel`.
+
+Updated to @google/genai ^1.30.0 which adds support for `thinkingLevel` with values:
+MINIMAL, LOW, MEDIUM, HIGH.

pnpm-lock.yaml

@@ -668,8 +668,8 @@ importers:
         specifier: ^3.922.0
         version: 3.922.0
       '@google/genai':
-        specifier: ^1.29.1
-        version: 1.29.1(@modelcontextprotocol/sdk@1.12.0)
+        specifier: ^1.30.0
+        version: 1.34.0(@modelcontextprotocol/sdk@1.12.0)
       '@lmstudio/sdk':
         specifier: ^1.1.1
         version: 1.2.0
@@ -1973,11 +1973,11 @@ packages:
   '@floating-ui/utils@0.2.9':
     resolution: {integrity: sha512-MDWhGtE+eHw5JW7lq4qhc5yRLS11ERl1c7Z6Xd0a58DozHES6EnNNwUWbMiG4J9Cgj053Bhk8zvlhFYKVhULwg==}
 
-  '@google/genai@1.29.1':
-    resolution: {integrity: sha512-Buywpq0A6xf9cOdhiWCi5KUiDBbZkjCH5xbl+xxNQRItoYQgd31p0OKyn5cUnT0YNzC/pAmszqXoOc7kncqfFQ==}
+  '@google/genai@1.34.0':
+    resolution: {integrity: sha512-vu53UMPvjmb7PGzlYu6Tzxso8Dfhn+a7eQFaS2uNemVtDZKwzSpJ5+ikqBbXplF7RGB1STcVDqCkPvquiwb2sw==}
     engines: {node: '>=20.0.0'}
     peerDependencies:
-      '@modelcontextprotocol/sdk': ^1.20.1
+      '@modelcontextprotocol/sdk': ^1.24.0
     peerDependenciesMeta:
       '@modelcontextprotocol/sdk':
         optional: true
@@ -11594,7 +11594,7 @@ snapshots:
 
   '@floating-ui/utils@0.2.9': {}
 
-  '@google/genai@1.29.1(@modelcontextprotocol/sdk@1.12.0)':
+  '@google/genai@1.34.0(@modelcontextprotocol/sdk@1.12.0)':
     dependencies:
       google-auth-library: 10.5.0
       ws: 8.18.3
@@ -11854,7 +11854,7 @@ snapshots:
 
   '@lmstudio/lms-isomorphic@0.4.5':
     dependencies:
-      ws: 8.18.2
+      ws: 8.18.3
     transitivePeerDependencies:
       - bufferutil
       - utf-8-validate
@@ -18954,7 +18954,7 @@ snapshots:
       debug: 4.4.1(supports-color@8.1.1)
       devtools-protocol: 0.0.1452169
       typed-query-selector: 2.12.0
-      ws: 8.18.2
+      ws: 8.18.3
     transitivePeerDependencies:
       - bare-buffer
       - bufferutil

src/api/transform/__tests__/reasoning.spec.ts

@@ -1,6 +1,7 @@
 // npx vitest run src/api/transform/__tests__/reasoning.spec.ts
 
 import type { ModelInfo, ProviderSettings, ReasoningEffortWithMinimal } from "@roo-code/types"
+import { ThinkingLevel } from "@google/genai"
 
 import {
 	getOpenRouterReasoning,
@@ -615,7 +616,7 @@ describe("reasoning.ts", () => {
 			const result = getGeminiReasoning(options) as GeminiReasoningParams | undefined
 
 			// Budget should not be used for effort-only models
-			expect(result).toEqual({ thinkingLevel: "high", includeThoughts: true })
+			expect(result).toEqual({ thinkingLevel: ThinkingLevel.HIGH, includeThoughts: true })
 		})
 
 		it("should still return thinkingLevel when enableReasoningEffort is false but effort is explicitly set", () => {
@@ -641,7 +642,7 @@ describe("reasoning.ts", () => {
 			}
 
 			const result = getGeminiReasoning(options) as GeminiReasoningParams | undefined
-			expect(result).toEqual({ thinkingLevel: "high", includeThoughts: true })
+			expect(result).toEqual({ thinkingLevel: ThinkingLevel.HIGH, includeThoughts: true })
 		})
 
 		it("should return thinkingLevel for minimal effort", () => {
@@ -664,7 +665,7 @@ describe("reasoning.ts", () => {
 			}
 
 			const result = getGeminiReasoning(options) as GeminiReasoningParams | undefined
-			expect(result).toEqual({ thinkingLevel: "minimal", includeThoughts: true })
+			expect(result).toEqual({ thinkingLevel: ThinkingLevel.MINIMAL, includeThoughts: true })
 		})
 
 		it("should return thinkingLevel for medium effort", () => {
@@ -687,11 +688,17 @@ describe("reasoning.ts", () => {
 			}
 
 			const result = getGeminiReasoning(options) as GeminiReasoningParams | undefined
-			expect(result).toEqual({ thinkingLevel: "medium", includeThoughts: true })
+			expect(result).toEqual({ thinkingLevel: ThinkingLevel.MEDIUM, includeThoughts: true })
 		})
 
 		it("should handle all four Gemini thinking levels", () => {
 			const levels: GeminiThinkingLevel[] = ["minimal", "low", "medium", "high"]
+			const expectedThinkingLevels: Record<GeminiThinkingLevel, ThinkingLevel> = {
+				minimal: ThinkingLevel.MINIMAL,
+				low: ThinkingLevel.LOW,
+				medium: ThinkingLevel.MEDIUM,
+				high: ThinkingLevel.HIGH,
+			}
 
 			levels.forEach((level) => {
 				const geminiModel: ModelInfo = {
@@ -718,7 +725,7 @@ describe("reasoning.ts", () => {
 				}
 
 				const result = getGeminiReasoning(options) as GeminiReasoningParams | undefined
-				expect(result).toEqual({ thinkingLevel: level, includeThoughts: true })
+				expect(result).toEqual({ thinkingLevel: expectedThinkingLevels[level], includeThoughts: true })
 			})
 		})
 
@@ -836,7 +843,7 @@ describe("reasoning.ts", () => {
 			}
 
 			const result = getGeminiReasoning(options) as GeminiReasoningParams | undefined
-			expect(result).toEqual({ thinkingLevel: "medium", includeThoughts: true })
+			expect(result).toEqual({ thinkingLevel: ThinkingLevel.MEDIUM, includeThoughts: true })
 		})
 	})
 

src/api/transform/reasoning.ts

@@ -1,6 +1,6 @@
 import { BetaThinkingConfigParam } from "@anthropic-ai/sdk/resources/beta"
 import OpenAI from "openai"
-import type { GenerateContentConfig } from "@google/genai"
+import { ThinkingLevel, type GenerateContentConfig } from "@google/genai"
 
 import type { ModelInfo, ProviderSettings, ReasoningEffortExtended } from "@roo-code/types"
 
@@ -21,7 +21,7 @@ export type AnthropicReasoningParams = BetaThinkingConfigParam
 
 export type OpenAiReasoningParams = { reasoning_effort: OpenAI.Chat.ChatCompletionCreateParams["reasoning_effort"] }
 
-// Valid Gemini thinking levels for effort-based reasoning
+// Valid Gemini thinking levels for effort-based reasoning (lowercase for internal use)
 const GEMINI_THINKING_LEVELS = ["minimal", "low", "medium", "high"] as const
 
 export type GeminiThinkingLevel = (typeof GEMINI_THINKING_LEVELS)[number]
@@ -30,10 +30,16 @@ export function isGeminiThinkingLevel(value: unknown): value is GeminiThinkingLe
 	return typeof value === "string" && GEMINI_THINKING_LEVELS.includes(value as GeminiThinkingLevel)
 }
 
-export type GeminiReasoningParams = GenerateContentConfig["thinkingConfig"] & {
-	thinkingLevel?: GeminiThinkingLevel
+// Map lowercase thinking levels to SDK's ThinkingLevel enum
+const THINKING_LEVEL_MAP: Record<GeminiThinkingLevel, ThinkingLevel> = {
+	minimal: ThinkingLevel.MINIMAL,
+	low: ThinkingLevel.LOW,
+	medium: ThinkingLevel.MEDIUM,
+	high: ThinkingLevel.HIGH,
 }
 
+export type GeminiReasoningParams = GenerateContentConfig["thinkingConfig"]
+
 export type GetModelReasoningOptions = {
 	model: ModelInfo
 	reasoningBudget: number | undefined
@@ -155,5 +161,6 @@ export const getGeminiReasoning = ({
 		return undefined
 	}
 
-	return { thinkingLevel: selectedEffort, includeThoughts: true }
+	// Map lowercase effort to SDK's ThinkingLevel enum (uppercase values)
+	return { thinkingLevel: THINKING_LEVEL_MAP[selectedEffort], includeThoughts: true }
 }

src/package.json

@@ -435,7 +435,7 @@
 		"@anthropic-ai/vertex-sdk": "^0.7.0",
 		"@aws-sdk/client-bedrock-runtime": "^3.922.0",
 		"@aws-sdk/credential-providers": "^3.922.0",
-		"@google/genai": "^1.29.1",
+		"@google/genai": "^1.30.0",
 		"@lmstudio/sdk": "^1.1.1",
 		"@mistralai/mistralai": "^1.9.18",
 		"@modelcontextprotocol/sdk": "1.12.0",