[pull] main from supermemoryai:main

apps/docs/integrations/ai-sdk.mdx

@@ -106,6 +106,18 @@ const model = withSupermemory(openai("gpt-4"), "user-123", {
 // Console output shows memory retrieval details
 ```
 
+### When Supermemory errors (optional: continue without memories)
+
+If the Supermemory API returns an error (or is unreachable), memory retrieval fails before the LLM runs. By default that error **propagates** (fails the call).
+
+To continue the LLM request **without** injected memories instead, opt in with `skipMemoryOnError: true`. Use `verbose: true` if you want console output when that happens.
+
+```typescript
+const model = withSupermemory(openai("gpt-5"), "user-123", {
+  skipMemoryOnError: true
+})
+```
+
 ---
 
 ## Memory Tools

packages/tools/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@supermemory/tools",
   "type": "module",
-  "version": "1.4.4",
+  "version": "1.4.5",
   "description": "Memory tools for AI SDK and OpenAI function calling with supermemory",
   "scripts": {
     "build": "tsdown",

packages/tools/src/vercel/index.ts

@@ -50,6 +50,12 @@ interface WrapVercelLanguageModelOptions {
 	 * ```
 	 */
 	promptTemplate?: PromptTemplate
+	/**
+	 * When Supermemory memory retrieval / injection fails:
+	 * - `false` (default): propagate the error.
+	 * - `true`: log and call the base model with the original prompt (no memories).
+	 */
+	skipMemoryOnError?: boolean
 }
 
 /**
@@ -72,6 +78,7 @@ interface WrapVercelLanguageModelOptions {
  * @param options.addMemory - Optional mode for memory search: "always", "never" (default: "never")
  * @param options.apiKey - Optional Supermemory API key to use instead of the environment variable
  * @param options.baseUrl - Optional base URL for the Supermemory API (default: "https://api.supermemory.ai")
+ * @param options.skipMemoryOnError - When memory retrieval fails: `false` (default) throws; `true` continues without injected memories
  *
  * @returns A wrapped language model that automatically includes relevant memories in prompts
  *
@@ -93,7 +100,7 @@ interface WrapVercelLanguageModelOptions {
  * ```
  *
  * @throws {Error} When neither `options.apiKey` nor `process.env.SUPERMEMORY_API_KEY` are set
- * @throws {Error} When supermemory API request fails
+ * @throws {Error} When supermemory memory retrieval fails unless `skipMemoryOnError` is `true`
  */
 const wrapVercelLanguageModel = <T extends LanguageModel>(
 	model: T,
@@ -119,19 +126,42 @@ const wrapVercelLanguageModel = <T extends LanguageModel>(
 		promptTemplate: options?.promptTemplate,
 	})
 
+	const skipMemoryOnError = options?.skipMemoryOnError ?? false
+
 	// Proxy keeps prototype/getter fields (e.g. provider, modelId) that `{ ...model }` drops.
 	return new Proxy(model, {
 		get(target, prop, receiver) {
 			if (prop === "doGenerate") {
 				return async (params: LanguageModelCallOptions) => {
+					let modelParams: LanguageModelCallOptions = params
 					try {
-						const transformedParams = await transformParamsWithMemory(
-							params,
-							ctx,
-						)
+						modelParams = await transformParamsWithMemory(params, ctx)
+					} catch (memoryError) {
+						if (skipMemoryOnError) {
+							ctx.logger.warn(
+								"Supermemory retrieval failed; continuing without injected memories",
+								{
+									error:
+										memoryError instanceof Error
+											? memoryError.message
+											: "Unknown error",
+								},
+							)
+							modelParams = params
+						} else {
+							ctx.logger.error("Error during memory retrieval for generation", {
+								error:
+									memoryError instanceof Error
+										? memoryError.message
+										: "Unknown error",
+							})
+							throw memoryError
+						}
+					}
 
+					try {
 						// biome-ignore lint/suspicious/noExplicitAny: Union type compatibility between V2 and V3
-						const result = await target.doGenerate(transformedParams as any)
+						const result = await target.doGenerate(modelParams as any)
 
 						const userMessage = getLastUserMessage(params)
 						if (
@@ -168,15 +198,36 @@ const wrapVercelLanguageModel = <T extends LanguageModel>(
 				return async (params: LanguageModelCallOptions) => {
 					let generatedText = ""
 
+					let modelParams: LanguageModelCallOptions = params
 					try {
-						const transformedParams = await transformParamsWithMemory(
-							params,
-							ctx,
-						)
+						modelParams = await transformParamsWithMemory(params, ctx)
+					} catch (memoryError) {
+						if (skipMemoryOnError) {
+							ctx.logger.warn(
+								"Supermemory retrieval failed; continuing without injected memories",
+								{
+									error:
+										memoryError instanceof Error
+											? memoryError.message
+											: "Unknown error",
+								},
+							)
+							modelParams = params
+						} else {
+							ctx.logger.error("Error during memory retrieval for stream", {
+								error:
+									memoryError instanceof Error
+										? memoryError.message
+										: "Unknown error",
+							})
+							throw memoryError
+						}
+					}
 
+					try {
 						const { stream, ...rest } = await target.doStream(
 							// biome-ignore lint/suspicious/noExplicitAny: Union type compatibility between V2 and V3
-							transformedParams as any,
+							modelParams as any,
 						)
 
 						const transformStream = new TransformStream<