feat: add Gemini embedding provider for codebase indexing

Author: SannidhyaSah

packages/types/src/codebase-index.ts

@@ -7,7 +7,7 @@ import { z } from "zod"
 export const codebaseIndexConfigSchema = z.object({
 	codebaseIndexEnabled: z.boolean().optional(),
 	codebaseIndexQdrantUrl: z.string().optional(),
-	codebaseIndexEmbedderProvider: z.enum(["openai", "ollama", "openai-compatible"]).optional(),
+	codebaseIndexEmbedderProvider: z.enum(["openai", "ollama", "openai-compatible", "gemini"]).optional(),
 	codebaseIndexEmbedderBaseUrl: z.string().optional(),
 	codebaseIndexEmbedderModelId: z.string().optional(),
 })
@@ -22,6 +22,7 @@ export const codebaseIndexModelsSchema = z.object({
 	openai: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 	ollama: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 	"openai-compatible": z.record(z.string(), z.object({ dimension: z.number() })).optional(),
+	gemini: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 })
 
 export type CodebaseIndexModels = z.infer<typeof codebaseIndexModelsSchema>
@@ -36,6 +37,7 @@ export const codebaseIndexProviderSchema = z.object({
 	codebaseIndexOpenAiCompatibleBaseUrl: z.string().optional(),
 	codebaseIndexOpenAiCompatibleApiKey: z.string().optional(),
 	codebaseIndexOpenAiCompatibleModelDimension: z.number().optional(),
+	codebaseIndexGeminiApiKey: z.string().optional(),
 })
 
 export type CodebaseIndexProvider = z.infer<typeof codebaseIndexProviderSchema>

packages/types/src/global-settings.ts

@@ -143,6 +143,7 @@ export const SECRET_STATE_KEYS = [
 	"codeIndexOpenAiKey",
 	"codeIndexQdrantApiKey",
 	"codebaseIndexOpenAiCompatibleApiKey",
+	"codebaseIndexGeminiApiKey",
 ] as const satisfies readonly (keyof ProviderSettings)[]
 export type SecretState = Pick<ProviderSettings, (typeof SECRET_STATE_KEYS)[number]>
 

src/services/code-index/__tests__/config-manager.spec.ts

@@ -902,6 +902,46 @@ describe("CodeIndexConfigManager", () => {
 			expect(configManager.isFeatureConfigured).toBe(false)
 		})
 
+		it("should validate Gemini configuration correctly", async () => {
+			mockContextProxy.getGlobalState.mockImplementation((key: string) => {
+				if (key === "codebaseIndexConfig") {
+					return {
+						codebaseIndexEnabled: true,
+						codebaseIndexQdrantUrl: "http://qdrant.local",
+						codebaseIndexEmbedderProvider: "gemini",
+					}
+				}
+				return undefined
+			})
+			mockContextProxy.getSecret.mockImplementation((key: string) => {
+				if (key === "codebaseIndexGeminiApiKey") return "test-gemini-key"
+				return undefined
+			})
+
+			await configManager.loadConfiguration()
+			expect(configManager.isFeatureConfigured).toBe(true)
+		})
+
+		it("should return false when Gemini API key is missing", async () => {
+			mockContextProxy.getGlobalState.mockImplementation((key: string) => {
+				if (key === "codebaseIndexConfig") {
+					return {
+						codebaseIndexEnabled: true,
+						codebaseIndexQdrantUrl: "http://qdrant.local",
+						codebaseIndexEmbedderProvider: "gemini",
+					}
+				}
+				return undefined
+			})
+			mockContextProxy.getSecret.mockImplementation((key: string) => {
+				if (key === "codebaseIndexGeminiApiKey") return ""
+				return undefined
+			})
+
+			await configManager.loadConfiguration()
+			expect(configManager.isFeatureConfigured).toBe(false)
+		})
+
 		it("should return false when required values are missing", async () => {
 			mockContextProxy.getGlobalState.mockReturnValue({
 				codebaseIndexEnabled: true,

src/services/code-index/__tests__/service-factory.spec.ts

@@ -3,12 +3,14 @@ import { CodeIndexServiceFactory } from "../service-factory"
 import { OpenAiEmbedder } from "../embedders/openai"
 import { CodeIndexOllamaEmbedder } from "../embedders/ollama"
 import { OpenAICompatibleEmbedder } from "../embedders/openai-compatible"
+import { GeminiEmbedder } from "../embedders/gemini"
 import { QdrantVectorStore } from "../vector-store/qdrant-client"
 
 // Mock the embedders and vector store
 vitest.mock("../embedders/openai")
 vitest.mock("../embedders/ollama")
 vitest.mock("../embedders/openai-compatible")
+vitest.mock("../embedders/gemini")
 vitest.mock("../vector-store/qdrant-client")
 
 // Mock the embedding models module
@@ -20,6 +22,7 @@ vitest.mock("../../../shared/embeddingModels", () => ({
 const MockedOpenAiEmbedder = OpenAiEmbedder as MockedClass<typeof OpenAiEmbedder>
 const MockedCodeIndexOllamaEmbedder = CodeIndexOllamaEmbedder as MockedClass<typeof CodeIndexOllamaEmbedder>
 const MockedOpenAICompatibleEmbedder = OpenAICompatibleEmbedder as MockedClass<typeof OpenAICompatibleEmbedder>
+const MockedGeminiEmbedder = GeminiEmbedder as MockedClass<typeof GeminiEmbedder>
 const MockedQdrantVectorStore = QdrantVectorStore as MockedClass<typeof QdrantVectorStore>
 
 // Import the mocked functions
@@ -259,6 +262,49 @@ describe("CodeIndexServiceFactory", () => {
 			)
 		})
 
+		it("should create GeminiEmbedder when using Gemini provider", () => {
+			// Arrange
+			const testConfig = {
+				embedderProvider: "gemini",
+				geminiOptions: {
+					apiKey: "test-gemini-api-key",
+				},
+			}
+			mockConfigManager.getConfig.mockReturnValue(testConfig as any)
+
+			// Act
+			factory.createEmbedder()
+
+			// Assert
+			expect(MockedGeminiEmbedder).toHaveBeenCalledWith("test-gemini-api-key")
+		})
+
+		it("should throw error when Gemini API key is missing", () => {
+			// Arrange
+			const testConfig = {
+				embedderProvider: "gemini",
+				geminiOptions: {
+					apiKey: undefined,
+				},
+			}
+			mockConfigManager.getConfig.mockReturnValue(testConfig as any)
+
+			// Act & Assert
+			expect(() => factory.createEmbedder()).toThrow("Gemini configuration missing for embedder creation")
+		})
+
+		it("should throw error when Gemini options are missing", () => {
+			// Arrange
+			const testConfig = {
+				embedderProvider: "gemini",
+				geminiOptions: undefined,
+			}
+			mockConfigManager.getConfig.mockReturnValue(testConfig as any)
+
+			// Act & Assert
+			expect(() => factory.createEmbedder()).toThrow("Gemini configuration missing for embedder creation")
+		})
+
 		it("should throw error for invalid embedder provider", () => {
 			// Arrange
 			const testConfig = {
@@ -454,6 +500,30 @@ describe("CodeIndexServiceFactory", () => {
 			)
 		})
 
+		it("should use fixed dimension 768 for Gemini provider", () => {
+			// Arrange
+			const testConfig = {
+				embedderProvider: "gemini",
+				modelId: "text-embedding-004", // This is ignored by Gemini
+				qdrantUrl: "http://localhost:6333",
+				qdrantApiKey: "test-key",
+			}
+			mockConfigManager.getConfig.mockReturnValue(testConfig as any)
+
+			// Act
+			factory.createVectorStore()
+
+			// Assert
+			// getModelDimension should not be called for Gemini
+			expect(mockGetModelDimension).not.toHaveBeenCalled()
+			expect(MockedQdrantVectorStore).toHaveBeenCalledWith(
+				"/test/workspace",
+				"http://localhost:6333",
+				768, // Fixed dimension for Gemini
+				"test-key",
+			)
+		})
+
 		it("should use default model when config.modelId is undefined", () => {
 			// Arrange
 			const testConfig = {

src/services/code-index/config-manager.ts

@@ -16,6 +16,7 @@ export class CodeIndexConfigManager {
 	private openAiOptions?: ApiHandlerOptions
 	private ollamaOptions?: ApiHandlerOptions
 	private openAiCompatibleOptions?: { baseUrl: string; apiKey: string; modelDimension?: number }
+	private geminiOptions?: { apiKey: string }
 	private qdrantUrl?: string = "http://localhost:6333"
 	private qdrantApiKey?: string
 	private searchMinScore?: number
@@ -55,6 +56,7 @@ export class CodeIndexConfigManager {
 		const openAiCompatibleModelDimension = this.contextProxy?.getGlobalState(
 			"codebaseIndexOpenAiCompatibleModelDimension",
 		) as number | undefined
+		const geminiApiKey = this.contextProxy?.getSecret("codebaseIndexGeminiApiKey") ?? ""
 
 		// Update instance variables with configuration
 		this.isEnabled = codebaseIndexEnabled || false
@@ -68,6 +70,8 @@ export class CodeIndexConfigManager {
 			this.embedderProvider = "ollama"
 		} else if (codebaseIndexEmbedderProvider === "openai-compatible") {
 			this.embedderProvider = "openai-compatible"
+		} else if (codebaseIndexEmbedderProvider === "gemini") {
+			this.embedderProvider = "gemini"
 		} else {
 			this.embedderProvider = "openai"
 		}
@@ -86,6 +90,8 @@ export class CodeIndexConfigManager {
 						modelDimension: openAiCompatibleModelDimension,
 					}
 				: undefined
+
+		this.geminiOptions = geminiApiKey ? { apiKey: geminiApiKey } : undefined
 	}
 
 	/**
@@ -101,6 +107,7 @@ export class CodeIndexConfigManager {
 			openAiOptions?: ApiHandlerOptions
 			ollamaOptions?: ApiHandlerOptions
 			openAiCompatibleOptions?: { baseUrl: string; apiKey: string }
+			geminiOptions?: { apiKey: string }
 			qdrantUrl?: string
 			qdrantApiKey?: string
 			searchMinScore?: number
@@ -118,6 +125,7 @@ export class CodeIndexConfigManager {
 			openAiCompatibleBaseUrl: this.openAiCompatibleOptions?.baseUrl ?? "",
 			openAiCompatibleApiKey: this.openAiCompatibleOptions?.apiKey ?? "",
 			openAiCompatibleModelDimension: this.openAiCompatibleOptions?.modelDimension,
+			geminiApiKey: this.geminiOptions?.apiKey ?? "",
 			qdrantUrl: this.qdrantUrl ?? "",
 			qdrantApiKey: this.qdrantApiKey ?? "",
 		}
@@ -137,6 +145,7 @@ export class CodeIndexConfigManager {
 				openAiOptions: this.openAiOptions,
 				ollamaOptions: this.ollamaOptions,
 				openAiCompatibleOptions: this.openAiCompatibleOptions,
+				geminiOptions: this.geminiOptions,
 				qdrantUrl: this.qdrantUrl,
 				qdrantApiKey: this.qdrantApiKey,
 				searchMinScore: this.searchMinScore,
@@ -165,6 +174,10 @@ export class CodeIndexConfigManager {
 			const apiKey = this.openAiCompatibleOptions?.apiKey
 			const qdrantUrl = this.qdrantUrl
 			return !!(baseUrl && apiKey && qdrantUrl)
+		} else if (this.embedderProvider === "gemini") {
+			const apiKey = this.geminiOptions?.apiKey
+			const qdrantUrl = this.qdrantUrl
+			return !!(apiKey && qdrantUrl)
 		}
 		return false // Should not happen if embedderProvider is always set correctly
 	}
@@ -185,6 +198,7 @@ export class CodeIndexConfigManager {
 		const prevOpenAiCompatibleBaseUrl = prev?.openAiCompatibleBaseUrl ?? ""
 		const prevOpenAiCompatibleApiKey = prev?.openAiCompatibleApiKey ?? ""
 		const prevOpenAiCompatibleModelDimension = prev?.openAiCompatibleModelDimension
+		const prevGeminiApiKey = prev?.geminiApiKey ?? ""
 		const prevQdrantUrl = prev?.qdrantUrl ?? ""
 		const prevQdrantApiKey = prev?.qdrantApiKey ?? ""
 
@@ -242,6 +256,13 @@ export class CodeIndexConfigManager {
 				}
 			}
 
+			if (this.embedderProvider === "gemini") {
+				const currentGeminiApiKey = this.geminiOptions?.apiKey ?? ""
+				if (prevGeminiApiKey !== currentGeminiApiKey) {
+					return true
+				}
+			}
+
 			// Qdrant configuration changes
 			const currentQdrantUrl = this.qdrantUrl ?? ""
 			const currentQdrantApiKey = this.qdrantApiKey ?? ""
@@ -292,6 +313,7 @@ export class CodeIndexConfigManager {
 			openAiOptions: this.openAiOptions,
 			ollamaOptions: this.ollamaOptions,
 			openAiCompatibleOptions: this.openAiCompatibleOptions,
+			geminiOptions: this.geminiOptions,
 			qdrantUrl: this.qdrantUrl,
 			qdrantApiKey: this.qdrantApiKey,
 			searchMinScore: this.searchMinScore,

src/services/code-index/embedders/__tests__/gemini.spec.ts

@@ -0,0 +1,57 @@
+import { vitest, describe, it, expect, beforeEach } from "vitest"
+import type { MockedClass } from "vitest"
+import { GeminiEmbedder } from "../gemini"
+import { OpenAICompatibleEmbedder } from "../openai-compatible"
+
+// Mock the OpenAICompatibleEmbedder
+vitest.mock("../openai-compatible")
+
+const MockedOpenAICompatibleEmbedder = OpenAICompatibleEmbedder as MockedClass<typeof OpenAICompatibleEmbedder>
+
+describe("GeminiEmbedder", () => {
+	let embedder: GeminiEmbedder
+
+	beforeEach(() => {
+		vitest.clearAllMocks()
+	})
+
+	describe("constructor", () => {
+		it("should create an instance with correct fixed values passed to OpenAICompatibleEmbedder", () => {
+			// Arrange
+			const apiKey = "test-gemini-api-key"
+
+			// Act
+			embedder = new GeminiEmbedder(apiKey)
+
+			// Assert
+			expect(MockedOpenAICompatibleEmbedder).toHaveBeenCalledWith(
+				"https://generativelanguage.googleapis.com/v1beta/openai/",
+				apiKey,
+				"text-embedding-004",
+			)
+		})
+
+		it("should throw error when API key is not provided", () => {
+			// Act & Assert
+			expect(() => new GeminiEmbedder("")).toThrow("API key is required for Gemini embedder")
+			expect(() => new GeminiEmbedder(null as any)).toThrow("API key is required for Gemini embedder")
+			expect(() => new GeminiEmbedder(undefined as any)).toThrow("API key is required for Gemini embedder")
+		})
+	})
+
+	describe("embedderInfo", () => {
+		it("should return correct embedder info with dimension 768", () => {
+			// Arrange
+			embedder = new GeminiEmbedder("test-api-key")
+
+			// Act
+			const info = embedder.embedderInfo
+
+			// Assert
+			expect(info).toEqual({
+				name: "gemini",
+			})
+			expect(GeminiEmbedder.dimension).toBe(768)
+		})
+	})
+})