feat: Add Mistral embedding provider (#5932) (#5946)

* feat: add Mistral embedding provider with OpenAI Compatible Wrapper

- Implement MistralEmbedder class using OpenAI-compatible API
- Add comprehensive unit tests with 100% coverage
- Update type definitions for Mistral provider support
- Integrate Mistral option in UI components and configuration
- Add internationalization support for Mistral provider
- Fix API key storage and retrieval for embedding providers
- Update service factory to support Mistral embeddings
- Add proper error handling and validation

This implementation allows users to use Mistral's embedding models
through the existing OpenAI-compatible wrapper approach, providing
a seamless integration experience.

* feat: add Mistral embedding provider support

- Implement MistralEmbedder class with API integration
- Add Mistral models to embedding model configurations
- Update UI to include Mistral provider option
- Add comprehensive unit tests for Mistral embedder
- Update type definitions and interfaces
- Add internationalization support for Mistral provider

* fix: add missing translations for Mistral embedding provider

* fix: address PR review feedback - improve translations and add clarifying comment

Author: SannidhyaSah

packages/types/src/codebase-index.ts

@@ -21,7 +21,7 @@ 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"]).optional(),
+	codebaseIndexEmbedderProvider: z.enum(["openai", "ollama", "openai-compatible", "gemini", "mistral"]).optional(),
 	codebaseIndexEmbedderBaseUrl: z.string().optional(),
 	codebaseIndexEmbedderModelId: z.string().optional(),
 	codebaseIndexEmbedderModelDimension: z.number().optional(),
@@ -47,6 +47,7 @@ export const codebaseIndexModelsSchema = z.object({
 	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(),
+	mistral: z.record(z.string(), z.object({ dimension: z.number() })).optional(),
 })
 
 export type CodebaseIndexModels = z.infer<typeof codebaseIndexModelsSchema>
@@ -62,6 +63,7 @@ export const codebaseIndexProviderSchema = z.object({
 	codebaseIndexOpenAiCompatibleApiKey: z.string().optional(),
 	codebaseIndexOpenAiCompatibleModelDimension: z.number().optional(),
 	codebaseIndexGeminiApiKey: z.string().optional(),
+	codebaseIndexMistralApiKey: z.string().optional(),
 })
 
 export type CodebaseIndexProvider = z.infer<typeof codebaseIndexProviderSchema>

packages/types/src/global-settings.ts

@@ -162,6 +162,7 @@ export const SECRET_STATE_KEYS = [
 	"codeIndexQdrantApiKey",
 	"codebaseIndexOpenAiCompatibleApiKey",
 	"codebaseIndexGeminiApiKey",
+	"codebaseIndexMistralApiKey",
 ] as const satisfies readonly (keyof ProviderSettings)[]
 export type SecretState = Pick<ProviderSettings, (typeof SECRET_STATE_KEYS)[number]>
 

src/core/webview/webviewMessageHandler.ts

@@ -1970,6 +1970,12 @@ export const webviewMessageHandler = async (
 						settings.codebaseIndexGeminiApiKey,
 					)
 				}
+				if (settings.codebaseIndexMistralApiKey !== undefined) {
+					await provider.contextProxy.storeSecret(
+						"codebaseIndexMistralApiKey",
+						settings.codebaseIndexMistralApiKey,
+					)
+				}
 
 				// Send success response first - settings are saved regardless of validation
 				await provider.postMessageToWebview({
@@ -2062,6 +2068,7 @@ export const webviewMessageHandler = async (
 				"codebaseIndexOpenAiCompatibleApiKey",
 			))
 			const hasGeminiApiKey = !!(await provider.context.secrets.get("codebaseIndexGeminiApiKey"))
+			const hasMistralApiKey = !!(await provider.context.secrets.get("codebaseIndexMistralApiKey"))
 
 			provider.postMessageToWebview({
 				type: "codeIndexSecretStatus",
@@ -2070,6 +2077,7 @@ export const webviewMessageHandler = async (
 					hasQdrantApiKey,
 					hasOpenAiCompatibleApiKey,
 					hasGeminiApiKey,
+					hasMistralApiKey,
 				},
 			})
 			break

src/i18n/locales/ca/embeddings.json

@@ -46,6 +46,7 @@
 		"ollamaConfigMissing": "Ollama configuration missing for embedder creation",
 		"openAiCompatibleConfigMissing": "OpenAI Compatible configuration missing for embedder creation",
 		"geminiConfigMissing": "Gemini configuration missing for embedder creation",
+		"mistralConfigMissing": "Mistral configuration missing for embedder creation",
 		"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.",