fix: internationalize hardcoded strings in Jina embedder

packages/types/src/codebase-index.ts

@@ -21,7 +21,9 @@ export const CODEBASE_INDEX_DEFAULTS = {
 export const codebaseIndexConfigSchema = z.object({
 	codebaseIndexEnabled: z.boolean().optional(),
 	codebaseIndexQdrantUrl: z.string().optional(),
-	codebaseIndexEmbedderProvider: z.enum(["openai", "ollama", "openai-compatible", "gemini", "mistral"]).optional(),
+	codebaseIndexEmbedderProvider: z
+		.enum(["openai", "ollama", "openai-compatible", "gemini", "mistral", "jina"])
+		.optional(),
 	codebaseIndexEmbedderBaseUrl: z.string().optional(),
 	codebaseIndexEmbedderModelId: z.string().optional(),
 	codebaseIndexEmbedderModelDimension: z.number().optional(),
@@ -48,6 +50,7 @@ export const codebaseIndexModelsSchema = z.object({
 	"openai-compatible": z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 	gemini: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 	mistral: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
+	jina: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 })
 
 export type CodebaseIndexModels = z.infer<typeof codebaseIndexModelsSchema>
@@ -64,6 +67,7 @@ export const codebaseIndexProviderSchema = z.object({
 	codebaseIndexOpenAiCompatibleModelDimension: z.number().optional(),
 	codebaseIndexGeminiApiKey: z.string().optional(),
 	codebaseIndexMistralApiKey: z.string().optional(),
+	codebaseIndexJinaApiKey: z.string().optional(),
 })
 
 export type CodebaseIndexProvider = z.infer<typeof codebaseIndexProviderSchema>

packages/types/src/global-settings.ts

@@ -186,6 +186,7 @@ export const SECRET_STATE_KEYS = [
 	"codebaseIndexOpenAiCompatibleApiKey",
 	"codebaseIndexGeminiApiKey",
 	"codebaseIndexMistralApiKey",
+	"codebaseIndexJinaApiKey",
 	"huggingFaceApiKey",
 ] as const satisfies readonly (keyof ProviderSettings)[]
 export type SecretState = Pick<ProviderSettings, (typeof SECRET_STATE_KEYS)[number]>

src/core/webview/webviewMessageHandler.ts

@@ -2036,6 +2036,9 @@ export const webviewMessageHandler = async (
 						settings.codebaseIndexMistralApiKey,
 					)
 				}
+				if (settings.codebaseIndexJinaApiKey !== undefined) {
+					await provider.contextProxy.storeSecret("codebaseIndexJinaApiKey", settings.codebaseIndexJinaApiKey)
+				}
 
 				// Send success response first - settings are saved regardless of validation
 				await provider.postMessageToWebview({
@@ -2157,6 +2160,7 @@ export const webviewMessageHandler = async (
 			))
 			const hasGeminiApiKey = !!(await provider.context.secrets.get("codebaseIndexGeminiApiKey"))
 			const hasMistralApiKey = !!(await provider.context.secrets.get("codebaseIndexMistralApiKey"))
+			const hasJinaApiKey = !!(await provider.context.secrets.get("codebaseIndexJinaApiKey"))
 
 			provider.postMessageToWebview({
 				type: "codeIndexSecretStatus",
@@ -2166,6 +2170,7 @@ export const webviewMessageHandler = async (
 					hasOpenAiCompatibleApiKey,
 					hasGeminiApiKey,
 					hasMistralApiKey,
+					hasJinaApiKey,
 				},
 			})
 			break

src/i18n/locales/en/embeddings.json

@@ -47,6 +47,8 @@
 		"openAiCompatibleConfigMissing": "OpenAI Compatible configuration missing for embedder creation",
 		"geminiConfigMissing": "Gemini configuration missing for embedder creation",
 		"mistralConfigMissing": "Mistral configuration missing for embedder creation",
+		"jinaConfigMissing": "Jina configuration missing for embedder creation",
+		"unsupportedEmbeddingFormat": "Base64/binary embeddings are not supported",
 		"invalidEmbedderType": "Invalid embedder type configured: {{embedderProvider}}",
 		"vectorDimensionNotDeterminedOpenAiCompatible": "Could not determine vector dimension for model '{{modelId}}' with provider '{{provider}}'. Please ensure the 'Embedding Dimension' is correctly set in the OpenAI-Compatible provider settings.",
 		"vectorDimensionNotDetermined": "Could not determine vector dimension for model '{{modelId}}' with provider '{{provider}}'. Check model profiles or configuration.",