fix: trim URL inputs and expand openai-compatible embedding model profiles

src/shared/__tests__/embeddingModels.spec.ts

@@ -57,6 +57,25 @@ describe("embeddingModels", () => {
 			expect(getModelDimension("openai", "text-embedding-3-large")).toBe(3072)
 			expect(getModelDimension("openai", "text-embedding-ada-002")).toBe(1536)
 		})
+
+		it("should return correct dimensions for openai-compatible third-party models", () => {
+			// Qwen models (commonly available on Featherless AI, Together AI, etc.)
+			expect(getModelDimension("openai-compatible", "Qwen/Qwen3-Embedding-0.6B")).toBe(1024)
+			expect(getModelDimension("openai-compatible", "Qwen/Qwen3-Embedding-4B")).toBe(2560)
+			expect(getModelDimension("openai-compatible", "Qwen/Qwen3-Embedding-8B")).toBe(4096)
+			// BAAI BGE models
+			expect(getModelDimension("openai-compatible", "BAAI/bge-large-en-v1.5")).toBe(1024)
+			expect(getModelDimension("openai-compatible", "BAAI/bge-base-en-v1.5")).toBe(768)
+			expect(getModelDimension("openai-compatible", "BAAI/bge-small-en-v1.5")).toBe(384)
+			// Nomic models
+			expect(getModelDimension("openai-compatible", "nomic-embed-text")).toBe(768)
+			// Mixedbread models
+			expect(getModelDimension("openai-compatible", "mixedbread-ai/mxbai-embed-large-v1")).toBe(1024)
+		})
+
+		it("should still return undefined for unknown models on openai-compatible", () => {
+			expect(getModelDimension("openai-compatible", "some-unknown-model")).toBeUndefined()
+		})
 	})
 
 	describe("getModelScoreThreshold", () => {

src/shared/embeddingModels.ts

@@ -32,6 +32,19 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
 			scoreThreshold: 0.15,
 			queryPrefix: "Represent this query for searching relevant code: ",
 		},
+		// Nomic models (commonly available on third-party providers)
+		"nomic-embed-text": { dimension: 768, scoreThreshold: 0.4 },
+		"nomic-ai/nomic-embed-text-v1.5": { dimension: 768, scoreThreshold: 0.4 },
+		// Qwen embedding models (Featherless AI, Together AI, etc.)
+		"Qwen/Qwen3-Embedding-0.6B": { dimension: 1024, scoreThreshold: 0.4 },
+		"Qwen/Qwen3-Embedding-4B": { dimension: 2560, scoreThreshold: 0.4 },
+		"Qwen/Qwen3-Embedding-8B": { dimension: 4096, scoreThreshold: 0.4 },
+		// BAAI BGE models (commonly self-hosted)
+		"BAAI/bge-large-en-v1.5": { dimension: 1024, scoreThreshold: 0.4 },
+		"BAAI/bge-base-en-v1.5": { dimension: 768, scoreThreshold: 0.4 },
+		"BAAI/bge-small-en-v1.5": { dimension: 384, scoreThreshold: 0.4 },
+		// Mixedbread models
+		"mixedbread-ai/mxbai-embed-large-v1": { dimension: 1024, scoreThreshold: 0.4 },
 	},
 	gemini: {
 		"gemini-embedding-001": { dimension: 3072, scoreThreshold: 0.4 },

webview-ui/src/components/chat/CodeIndexPopover.tsx

@@ -539,6 +539,15 @@ export const CodeIndexPopover: React.FC<CodeIndexPopoverProps> = ({
 		// Prepare settings to save
 		const settingsToSave: any = {}
 
+		// Keys whose string values should be trimmed before saving
+		const trimKeys = new Set([
+			"codebaseIndexQdrantUrl",
+			"codebaseIndexEmbedderBaseUrl",
+			"codebaseIndexOpenAiCompatibleBaseUrl",
+			"codebaseIndexEmbedderModelId",
+			"codebaseIndexQdrantApiKey",
+		])
+
 		// Iterate through all current settings
 		for (const [key, value] of Object.entries(currentSettings)) {
 			// For secret fields with placeholder, don't send the placeholder
@@ -549,8 +558,13 @@ export const CodeIndexPopover: React.FC<CodeIndexPopoverProps> = ({
 				continue
 			}
 
-			// Include all other fields, including empty strings (which clear secrets)
-			settingsToSave[key] = value
+			// Trim whitespace from URL and identifier fields to prevent silent failures
+			if (trimKeys.has(key) && typeof value === "string") {
+				settingsToSave[key] = value.trim()
+			} else {
+				// Include all other fields, including empty strings (which clear secrets)
+				settingsToSave[key] = value
+			}
 		}
 
 		// Always include codebaseIndexEnabled to ensure it's persisted