refactor: remove legacy codebaseIndexOpenAiCompatibleModelDimension property

src/core/config/__tests__/importExport.spec.ts

@@ -628,7 +628,7 @@ describe("importExport", () => {
 						codebaseIndexEmbedderBaseUrl: "http://localhost:11434", // Wrong URL from Ollama
 						// OpenAI Compatible settings are now stored directly in codebaseIndexConfig
 						codebaseIndexOpenAiCompatibleBaseUrl: "https://custom-openai-api.example.com/v1",
-						codebaseIndexOpenAiCompatibleModelDimension: 1536,
+						codebaseIndexEmbedderModelDimension: 1536,
 					},
 				}
 
@@ -673,7 +673,7 @@ describe("importExport", () => {
 						codebaseIndexEmbedderBaseUrl: "",
 						// OpenAI Compatible settings are now stored directly in codebaseIndexConfig
 						codebaseIndexOpenAiCompatibleBaseUrl: "https://api.example.com/v1",
-						codebaseIndexOpenAiCompatibleModelDimension: 768,
+						codebaseIndexEmbedderModelDimension: 768,
 					},
 				}
 
@@ -688,9 +688,7 @@ describe("importExport", () => {
 
 				const exportedData = (safeWriteJson as Mock).mock.calls[0][1]
 				// Settings are now exported as-is from codebaseIndexConfig
-				expect(
-					exportedData.globalSettings.codebaseIndexConfig.codebaseIndexOpenAiCompatibleModelDimension,
-				).toBe(768)
+				expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexEmbedderModelDimension).toBe(768)
 				expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexOpenAiCompatibleBaseUrl).toBe(
 					"https://api.example.com/v1",
 				)
@@ -731,7 +729,7 @@ describe("importExport", () => {
 						codebaseIndexEmbedderBaseUrl: "http://localhost:11434", // Wrong URL from Ollama
 						// OpenAI Compatible settings are now stored directly in codebaseIndexConfig
 						codebaseIndexOpenAiCompatibleBaseUrl: "https://openai-compatible.example.com/v1",
-						codebaseIndexOpenAiCompatibleModelDimension: 1536,
+						codebaseIndexEmbedderModelDimension: 1536,
 					},
 				}
 
@@ -749,9 +747,7 @@ describe("importExport", () => {
 				expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexOpenAiCompatibleBaseUrl).toBe(
 					"https://openai-compatible.example.com/v1",
 				)
-				expect(
-					exportedData.globalSettings.codebaseIndexConfig.codebaseIndexOpenAiCompatibleModelDimension,
-				).toBe(1536)
+				expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexEmbedderModelDimension).toBe(1536)
 				// The generic embedder base URL is still there
 				expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexEmbedderBaseUrl).toBe(
 					"http://localhost:11434",
@@ -921,7 +917,6 @@ describe("importExport", () => {
 							codebaseIndexEmbedderModelDimension: 1536,
 							// OpenAI Compatible settings are now stored directly here
 							codebaseIndexOpenAiCompatibleBaseUrl: "https://imported-url.example.com/v1",
-							codebaseIndexOpenAiCompatibleModelDimension: 1536,
 						},
 					},
 				})
@@ -956,7 +951,7 @@ describe("importExport", () => {
 					expect.objectContaining({
 						codebaseIndexConfig: expect.objectContaining({
 							codebaseIndexOpenAiCompatibleBaseUrl: "https://imported-url.example.com/v1",
-							codebaseIndexOpenAiCompatibleModelDimension: 1536,
+							codebaseIndexEmbedderModelDimension: 1536,
 						}),
 					}),
 				)
@@ -1105,7 +1100,6 @@ describe("importExport", () => {
 					codebaseIndexEmbedderModelDimension: testModelDimension,
 					// OpenAI Compatible settings are now stored directly in codebaseIndexConfig
 					codebaseIndexOpenAiCompatibleBaseUrl: "https://api.example.com/v1",
-					codebaseIndexOpenAiCompatibleModelDimension: testModelDimension,
 				},
 			}
 
@@ -1160,7 +1154,7 @@ describe("importExport", () => {
 
 			// Step 9: Verify that the model dimension was preserved exactly in global settings
 			const importedGlobalSettings = mockContextProxy.setValues.mock.calls[0][0]
-			expect(importedGlobalSettings.codebaseIndexConfig?.codebaseIndexOpenAiCompatibleModelDimension).toBe(
+			expect(importedGlobalSettings.codebaseIndexConfig?.codebaseIndexEmbedderModelDimension).toBe(
 				testModelDimension,
 			)
 			expect(importedGlobalSettings.codebaseIndexConfig?.codebaseIndexOpenAiCompatibleBaseUrl).toBe(
@@ -1198,7 +1192,7 @@ describe("importExport", () => {
 					codebaseIndexEmbedderBaseUrl: "https://api.example.com/v1",
 					// OpenAI Compatible settings are now stored directly in codebaseIndexConfig
 					codebaseIndexOpenAiCompatibleBaseUrl: "https://api.example.com/v1",
-					codebaseIndexOpenAiCompatibleModelDimension: testModelDimension, // 0 is a valid value
+					codebaseIndexEmbedderModelDimension: testModelDimension, // 0 is a valid value
 				},
 			}
 
@@ -1219,7 +1213,7 @@ describe("importExport", () => {
 
 			// Verify the exported data includes the model dimension even when it's 0
 			const exportedData = (safeWriteJson as Mock).mock.calls[0][1]
-			expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexOpenAiCompatibleModelDimension).toBe(0)
+			expect(exportedData.globalSettings.codebaseIndexConfig.codebaseIndexEmbedderModelDimension).toBe(0)
 
 			// Test import roundtrip
 			const exportedFileContent = JSON.stringify(exportedData)
@@ -1247,7 +1241,7 @@ describe("importExport", () => {
 
 			// Verify that model dimension 0 was preserved in global settings
 			const setValuesCall = mockContextProxy.setValues.mock.calls[0][0]
-			expect(setValuesCall.codebaseIndexConfig?.codebaseIndexOpenAiCompatibleModelDimension).toBe(0)
+			expect(setValuesCall.codebaseIndexConfig?.codebaseIndexEmbedderModelDimension).toBe(0)
 		})
 
 		it("should handle missing model dimension gracefully", async () => {

src/core/webview/webviewMessageHandler.ts

@@ -1967,8 +1967,8 @@ export const webviewMessageHandler = async (
 					codebaseIndexEmbedderProvider: settings.codebaseIndexEmbedderProvider,
 					codebaseIndexEmbedderBaseUrl: settings.codebaseIndexEmbedderBaseUrl,
 					codebaseIndexEmbedderModelId: settings.codebaseIndexEmbedderModelId,
+					codebaseIndexEmbedderModelDimension: settings.codebaseIndexEmbedderModelDimension, // Generic dimension
 					codebaseIndexOpenAiCompatibleBaseUrl: settings.codebaseIndexOpenAiCompatibleBaseUrl,
-					codebaseIndexOpenAiCompatibleModelDimension: settings.codebaseIndexOpenAiCompatibleModelDimension,
 					codebaseIndexSearchMaxResults: settings.codebaseIndexSearchMaxResults,
 					codebaseIndexSearchMinScore: settings.codebaseIndexSearchMinScore,
 				}

src/i18n/locales/ca/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "URL base no vàlida. Comproveu la vostra configuració d'URL.",
 		"invalidModel": "Model no vàlid. Comproveu la vostra configuració de model.",
 		"invalidResponse": "Resposta no vàlida del servei d'incrustació. Comproveu la vostra configuració."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "Falta la configuració d'OpenAI per crear l'embedder",
+		"ollamaConfigMissing": "Falta la configuració d'Ollama per crear l'embedder",
+		"openAiCompatibleConfigMissing": "Falta la configuració compatible amb OpenAI per crear l'embedder",
+		"geminiConfigMissing": "Falta la configuració de Gemini per crear l'embedder",
+		"invalidEmbedderType": "Tipus d'embedder configurat no vàlid: {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "No s'ha pogut determinar la dimensió del vector per al model '{{modelId}}' amb el proveïdor '{{provider}}'. Assegura't que la 'Dimensió d'incrustació' estigui configurada correctament als paràmetres del proveïdor compatible amb OpenAI.",
+		"vectorDimensionNotDetermined": "No s'ha pogut determinar la dimensió del vector per al model '{{modelId}}' amb el proveïdor '{{provider}}'. Comprova els perfils del model o la configuració.",
+		"qdrantUrlMissing": "Falta l'URL de Qdrant per crear l'emmagatzematge de vectors",
+		"codeIndexingNotConfigured": "No es poden crear serveis: La indexació de codi no està configurada correctament"
 	}
 }

src/i18n/locales/de/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "Ungültige Basis-URL. Bitte überprüfe deine URL-Konfiguration.",
 		"invalidModel": "Ungültiges Modell. Bitte überprüfe deine Modellkonfiguration.",
 		"invalidResponse": "Ungültige Antwort vom Embedder-Dienst. Bitte überprüfe deine Konfiguration."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "OpenAI-Konfiguration fehlt für die Erstellung des Embedders",
+		"ollamaConfigMissing": "Ollama-Konfiguration fehlt für die Erstellung des Embedders",
+		"openAiCompatibleConfigMissing": "OpenAI-kompatible Konfiguration fehlt für die Erstellung des Embedders",
+		"geminiConfigMissing": "Gemini-Konfiguration fehlt für die Erstellung des Embedders",
+		"invalidEmbedderType": "Ungültiger Embedder-Typ konfiguriert: {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "Konnte die Vektordimension für Modell '{{modelId}}' mit Anbieter '{{provider}}' nicht bestimmen. Stelle sicher, dass die 'Embedding-Dimension' in den OpenAI-kompatiblen Anbietereinstellungen korrekt eingestellt ist.",
+		"vectorDimensionNotDetermined": "Konnte die Vektordimension für Modell '{{modelId}}' mit Anbieter '{{provider}}' nicht bestimmen. Überprüfe die Modellprofile oder Konfiguration.",
+		"qdrantUrlMissing": "Qdrant-URL fehlt für die Erstellung des Vektorspeichers",
+		"codeIndexingNotConfigured": "Kann keine Dienste erstellen: Code-Indizierung ist nicht richtig konfiguriert"
 	}
 }

src/i18n/locales/en/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "Invalid base URL. Please check your URL configuration.",
 		"invalidModel": "Invalid model. Please check your model configuration.",
 		"invalidResponse": "Invalid response from embedder service. Please check your configuration."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "OpenAI configuration missing for embedder creation",
+		"ollamaConfigMissing": "Ollama configuration missing for embedder creation",
+		"openAiCompatibleConfigMissing": "OpenAI Compatible configuration missing for embedder creation",
+		"geminiConfigMissing": "Gemini 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.",
+		"qdrantUrlMissing": "Qdrant URL missing for vector store creation",
+		"codeIndexingNotConfigured": "Cannot create services: Code indexing is not properly configured"
 	}
 }

src/i18n/locales/es/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "URL base no válida. Comprueba la configuración de tu URL.",
 		"invalidModel": "Modelo no válido. Comprueba la configuración de tu modelo.",
 		"invalidResponse": "Respuesta no válida del servicio de embedder. Comprueba tu configuración."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "Falta la configuración de OpenAI para crear el incrustador",
+		"ollamaConfigMissing": "Falta la configuración de Ollama para crear el incrustador",
+		"openAiCompatibleConfigMissing": "Falta la configuración compatible con OpenAI para crear el incrustador",
+		"geminiConfigMissing": "Falta la configuración de Gemini para crear el incrustador",
+		"invalidEmbedderType": "Tipo de incrustador configurado inválido: {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "No se pudo determinar la dimensión del vector para el modelo '{{modelId}}' con el proveedor '{{provider}}'. Asegúrate de que la 'Dimensión de incrustación' esté configurada correctamente en los ajustes del proveedor compatible con OpenAI.",
+		"vectorDimensionNotDetermined": "No se pudo determinar la dimensión del vector para el modelo '{{modelId}}' con el proveedor '{{provider}}'. Verifica los perfiles del modelo o la configuración.",
+		"qdrantUrlMissing": "Falta la URL de Qdrant para crear el almacén de vectores",
+		"codeIndexingNotConfigured": "No se pueden crear servicios: La indexación de código no está configurada correctamente"
 	}
 }

src/i18n/locales/fr/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "URL de base invalide. Veuillez vérifier votre configuration d'URL.",
 		"invalidModel": "Modèle invalide. Veuillez vérifier votre configuration de modèle.",
 		"invalidResponse": "Réponse invalide du service d'embedder. Veuillez vérifier votre configuration."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "Configuration OpenAI manquante pour la création de l'embedder",
+		"ollamaConfigMissing": "Configuration Ollama manquante pour la création de l'embedder",
+		"openAiCompatibleConfigMissing": "Configuration compatible OpenAI manquante pour la création de l'embedder",
+		"geminiConfigMissing": "Configuration Gemini manquante pour la création de l'embedder",
+		"invalidEmbedderType": "Type d'embedder configuré invalide : {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "Impossible de déterminer la dimension du vecteur pour le modèle '{{modelId}}' avec le fournisseur '{{provider}}'. Assure-toi que la 'Dimension d'embedding' est correctement définie dans les paramètres du fournisseur compatible OpenAI.",
+		"vectorDimensionNotDetermined": "Impossible de déterminer la dimension du vecteur pour le modèle '{{modelId}}' avec le fournisseur '{{provider}}'. Vérifie les profils du modèle ou la configuration.",
+		"qdrantUrlMissing": "URL Qdrant manquante pour la création du stockage de vecteurs",
+		"codeIndexingNotConfigured": "Impossible de créer les services : L'indexation du code n'est pas correctement configurée"
 	}
 }

src/i18n/locales/hi/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "अमान्य बेस यूआरएल। कृपया अपनी यूआरएल कॉन्फ़िगरेशन जांचें।",
 		"invalidModel": "अमान्य मॉडल। कृपया अपनी मॉडल कॉन्फ़िगरेशन जांचें।",
 		"invalidResponse": "एम्बेडर सेवा से अमान्य प्रतिक्रिया। कृपया अपनी कॉन्फ़िगरेशन जांचें।"
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "एम्बेडर बनाने के लिए OpenAI कॉन्फ़िगरेशन गायब है",
+		"ollamaConfigMissing": "एम्बेडर बनाने के लिए Ollama कॉन्फ़िगरेशन गायब है",
+		"openAiCompatibleConfigMissing": "एम्बेडर बनाने के लिए OpenAI संगत कॉन्फ़िगरेशन गायब है",
+		"geminiConfigMissing": "एम्बेडर बनाने के लिए Gemini कॉन्फ़िगरेशन गायब है",
+		"invalidEmbedderType": "अमान्य एम्बेडर प्रकार कॉन्फ़िगर किया गया: {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "प्रदाता '{{provider}}' के साथ मॉडल '{{modelId}}' के लिए वेक्टर आयाम निर्धारित नहीं कर सका। कृपया सुनिश्चित करें कि OpenAI-संगत प्रदाता सेटिंग्स में 'एम्बेडिंग आयाम' सही तरीके से सेट है।",
+		"vectorDimensionNotDetermined": "प्रदाता '{{provider}}' के साथ मॉडल '{{modelId}}' के लिए वेक्टर आयाम निर्धारित नहीं कर सका। मॉडल प्रोफ़ाइल या कॉन्फ़िगरेशन की जांच करें।",
+		"qdrantUrlMissing": "वेक्टर स्टोर बनाने के लिए Qdrant URL गायब है",
+		"codeIndexingNotConfigured": "सेवाएं नहीं बना सकते: कोड इंडेक्सिंग ठीक से कॉन्फ़िगर नहीं है"
 	}
 }

src/i18n/locales/id/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "URL dasar tidak valid. Silakan periksa konfigurasi URL Anda.",
 		"invalidModel": "Model tidak valid. Silakan periksa konfigurasi model Anda.",
 		"invalidResponse": "Respons tidak valid dari layanan embedder. Silakan periksa konfigurasi Anda."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "Konfigurasi OpenAI tidak ada untuk membuat embedder",
+		"ollamaConfigMissing": "Konfigurasi Ollama tidak ada untuk membuat embedder",
+		"openAiCompatibleConfigMissing": "Konfigurasi yang kompatibel dengan OpenAI tidak ada untuk membuat embedder",
+		"geminiConfigMissing": "Konfigurasi Gemini tidak ada untuk membuat embedder",
+		"invalidEmbedderType": "Tipe embedder yang dikonfigurasi tidak valid: {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "Tidak dapat menentukan dimensi vektor untuk model '{{modelId}}' dengan penyedia '{{provider}}'. Pastikan 'Dimensi Embedding' diatur dengan benar di pengaturan penyedia yang kompatibel dengan OpenAI.",
+		"vectorDimensionNotDetermined": "Tidak dapat menentukan dimensi vektor untuk model '{{modelId}}' dengan penyedia '{{provider}}'. Periksa profil model atau konfigurasi.",
+		"qdrantUrlMissing": "URL Qdrant tidak ada untuk membuat penyimpanan vektor",
+		"codeIndexingNotConfigured": "Tidak dapat membuat layanan: Pengindeksan kode tidak dikonfigurasi dengan benar"
 	}
 }

src/i18n/locales/it/embeddings.json

@@ -37,5 +37,16 @@
 		"invalidBaseUrl": "URL di base non valido. Controlla la configurazione del tuo URL.",
 		"invalidModel": "Modello non valido. Controlla la configurazione del tuo modello.",
 		"invalidResponse": "Risposta non valida dal servizio embedder. Controlla la tua configurazione."
+	},
+	"serviceFactory": {
+		"openAiConfigMissing": "Configurazione OpenAI mancante per la creazione dell'embedder",
+		"ollamaConfigMissing": "Configurazione Ollama mancante per la creazione dell'embedder",
+		"openAiCompatibleConfigMissing": "Configurazione compatibile con OpenAI mancante per la creazione dell'embedder",
+		"geminiConfigMissing": "Configurazione Gemini mancante per la creazione dell'embedder",
+		"invalidEmbedderType": "Tipo di embedder configurato non valido: {{embedderProvider}}",
+		"vectorDimensionNotDeterminedOpenAiCompatible": "Impossibile determinare la dimensione del vettore per il modello '{{modelId}}' con il provider '{{provider}}'. Assicurati che la 'Dimensione di embedding' sia impostata correttamente nelle impostazioni del provider compatibile con OpenAI.",
+		"vectorDimensionNotDetermined": "Impossibile determinare la dimensione del vettore per il modello '{{modelId}}' con il provider '{{provider}}'. Controlla i profili del modello o la configurazione.",
+		"qdrantUrlMissing": "URL Qdrant mancante per la creazione dello storage vettoriale",
+		"codeIndexingNotConfigured": "Impossibile creare i servizi: L'indicizzazione del codice non è configurata correttamente"
 	}
 }