fix: add biome-ignore comments for AI SDK internal types and fix formatting

The AI SDK middleware requires `any` types because the SDK's internal
call options and prompt types are not exported. Added biome-ignore
comments to suppress noExplicitAny warnings and ran format-lint to
fix formatting issues.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

apps/web/components/memory-graph/memory-graph-wrapper.tsx

@@ -71,10 +71,12 @@ export function MemoryGraph({
 				maxNodes={maxNodes}
 				canvasRef={canvasRef}
 				totalCount={totalCount}
-				colors={{
-					bg: "transparent",
-					edgeDerives: "#9ca3af",
-				} as any}
+				colors={
+					{
+						bg: "transparent",
+						edgeDerives: "#9ca3af",
+					} as any
+				}
 				{...rest}
 			>
 				{children}

packages/memory-graph/src/components/memory-graph.tsx

@@ -197,7 +197,11 @@ export function MemoryGraph({
 				setViewportVersion((v) => v + 1)
 			}
 
-			const { hasMore: more, isLoadingMore: loading, onLoadMore: load } = loadMoreRef.current
+			const {
+				hasMore: more,
+				isLoadingMore: loading,
+				onLoadMore: load,
+			} = loadMoreRef.current
 			if (!more || loading || !load || !viewportRef.current) return
 
 			const vp = viewportRef.current
@@ -205,14 +209,17 @@ export function MemoryGraph({
 			if (currentNodes.length === 0) return
 
 			const topLeft = vp.screenToWorld(0, 0)
-			const bottomRight = vp.screenToWorld(containerSize.width, containerSize.height)
+			const bottomRight = vp.screenToWorld(
+				containerSize.width,
+				containerSize.height,
+			)
 			const viewW = bottomRight.x - topLeft.x
 			const viewH = bottomRight.y - topLeft.y
 
-			let minX = Infinity
-			let minY = Infinity
-			let maxX = -Infinity
-			let maxY = -Infinity
+			let minX = Number.POSITIVE_INFINITY
+			let minY = Number.POSITIVE_INFINITY
+			let maxX = Number.NEGATIVE_INFINITY
+			let maxY = Number.NEGATIVE_INFINITY
 			for (const n of currentNodes) {
 				if (n.x < minX) minX = n.x
 				if (n.y < minY) minY = n.y
@@ -613,7 +620,6 @@ export function MemoryGraph({
 				colors={colors}
 			/>
 
-
 			{!isLoading && !nodes.some((n) => n.type === "document") && children && (
 				<div style={emptyStateStyle}>{children}</div>
 			)}

packages/tools/src/convex-component/src/ai-sdk/middleware.ts

@@ -13,7 +13,9 @@ import type { FunctionReference } from "convex/server"
  * a direct dependency on @ai-sdk/provider.
  */
 interface WrappableLanguageModel {
+	// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 	doGenerate: (options: any) => Promise<any>
+	// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 	doStream: (options: any) => Promise<any>
 	[key: string]: unknown
 }
@@ -49,7 +51,7 @@ export interface SupermemoryOptions {
 export interface MemoryPromptData {
 	userMemories: string
 	generalSearchMemories: string
-	searchResults: any[]
+	searchResults: unknown[]
 }
 
 const DEFAULT_PROMPT_TEMPLATE = (data: MemoryPromptData) =>
@@ -119,10 +121,12 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 
 	return {
 		...model,
+		// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 		doGenerate: async (callOptions: any) => {
 			try {
 				// Extract user's last message for query-based search
 				const lastUserMessage = callOptions.prompt
+					// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 					.filter((msg: any) => msg.role === "user")
 					.slice(-1)[0]
 
@@ -131,13 +135,14 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 						? typeof lastUserMessage.content === "string"
 							? lastUserMessage.content
 							: lastUserMessage.content
+									// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 									.map((c: any) => (c.type === "text" ? c.text : ""))
 									.join(" ")
 						: ""
 
 				let userMemories = ""
 				let generalSearchMemories = ""
-				let searchResults: any[] = []
+				let searchResults: unknown[] = []
 
 				// Fetch profile if needed
 				if (mode === "profile" || mode === "full") {
@@ -175,6 +180,7 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 					searchResults = searchResult.results
 					generalSearchMemories = searchResults
 						.map(
+							// biome-ignore lint/suspicious/noExplicitAny: search result types not exported
 							(r: any) =>
 								`- ${r.memory || r.chunk} (similarity: ${r.similarity.toFixed(2)})`,
 						)
@@ -204,11 +210,15 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 				if (addMemory === "always" && userQuery) {
 					if (verbose) console.log("[Supermemory] Auto-saving user message...")
 
-					convexClient.action(addAction, {
-						content: userQuery,
-						containerTag,
-						metadata: { source: "ai-middleware", auto: true },
-					}).catch((e) => console.error("[Supermemory] Failed to auto-save:", e))
+					convexClient
+						.action(addAction, {
+							content: userQuery,
+							containerTag,
+							metadata: { source: "ai-middleware", auto: true },
+						})
+						.catch((e) =>
+							console.error("[Supermemory] Failed to auto-save:", e),
+						)
 				}
 
 				// Call original model with enhanced context
@@ -223,10 +233,12 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 			}
 		},
 
+		// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 		doStream: async (callOptions: any) => {
 			// For streaming, we inject context upfront then stream normally
 			try {
 				const lastUserMessage = callOptions.prompt
+					// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 					.filter((msg: any) => msg.role === "user")
 					.slice(-1)[0]
 
@@ -235,13 +247,14 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 						? typeof lastUserMessage.content === "string"
 							? lastUserMessage.content
 							: lastUserMessage.content
+									// biome-ignore lint/suspicious/noExplicitAny: AI SDK internal types not exported
 									.map((c: any) => (c.type === "text" ? c.text : ""))
 									.join(" ")
 						: ""
 
 				let userMemories = ""
 				let generalSearchMemories = ""
-				let searchResults: any[] = []
+				let searchResults: unknown[] = []
 
 				if (mode === "profile" || mode === "full") {
 					const profile = await convexClient.action(profileAction, {
@@ -265,6 +278,7 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 
 					searchResults = searchResult.results
 					generalSearchMemories = searchResults
+						// biome-ignore lint/suspicious/noExplicitAny: search result types not exported
 						.map((r: any) => `- ${r.memory || r.chunk}`)
 						.join("\n")
 				}
@@ -281,11 +295,15 @@ export function withSupermemory<T extends WrappableLanguageModel>(
 				]
 
 				if (addMemory === "always" && userQuery) {
-					convexClient.action(addAction, {
-						content: userQuery,
-						containerTag,
-						metadata: { source: "ai-middleware", auto: true },
-					}).catch((e) => console.error("[Supermemory] Failed to auto-save:", e))
+					convexClient
+						.action(addAction, {
+							content: userQuery,
+							containerTag,
+							metadata: { source: "ai-middleware", auto: true },
+						})
+						.catch((e) =>
+							console.error("[Supermemory] Failed to auto-save:", e),
+						)
 				}
 
 				return await model.doStream({

packages/tools/src/convex-component/src/component/actions.ts

@@ -145,7 +145,12 @@ export const search = action({
 			})
 
 			// Log API call
-			const logBody = { q: args.q, containerTag: args.containerTag, searchMode: args.searchMode, limit: args.limit }
+			const logBody = {
+				q: args.q,
+				containerTag: args.containerTag,
+				searchMode: args.searchMode,
+				limit: args.limit,
+			}
 			await ctx.runMutation(internal.mutations.logApiCall, {
 				endpoint: "search",
 				containerTag: args.containerTag,
@@ -159,7 +164,12 @@ export const search = action({
 			const responseTime = Date.now() - startTime
 
 			try {
-				const logBody = { q: args.q, containerTag: args.containerTag, searchMode: args.searchMode, limit: args.limit }
+				const logBody = {
+					q: args.q,
+					containerTag: args.containerTag,
+					searchMode: args.searchMode,
+					limit: args.limit,
+				}
 				await ctx.runMutation(internal.mutations.logApiCall, {
 					endpoint: "search",
 					containerTag: args.containerTag,

packages/tools/src/convex-component/src/react/index.tsx

@@ -153,7 +153,6 @@ export function listMemories(
 	return useQuery(query, args) as Memory[] | undefined
 }
 
-
 // Export all types
 export type {
 	AddMemoryArgs,

packages/tools/test/claude-memory-real-example.ts

@@ -119,10 +119,16 @@ export async function realClaudeMemoryExample() {
 	const toolResults = []
 
 	if (responseData.content) {
-    const memoryToolCalls = responseData.content.filter(
-      (block: any): block is { type: 'tool_use'; id: string; name: 'memory'; input: { command: MemoryCommand; path: string } } =>
-        block.type === "tool_use" && block.name === "memory",
-    )
+		const memoryToolCalls = responseData.content.filter(
+			(
+				block: any,
+			): block is {
+				type: "tool_use"
+				id: string
+				name: "memory"
+				input: { command: MemoryCommand; path: string }
+			} => block.type === "tool_use" && block.name === "memory",
+		)
 
 		const results = await Promise.all(
 			memoryToolCalls.map((block: any) => {
@@ -196,10 +202,16 @@ export async function processClaudeResponse(
 	const toolResults = []
 
 	if (claudeResponseData.content) {
-    const memoryToolCalls = claudeResponseData.content.filter(
-      (block: any): block is { type: 'tool_use'; id: string; name: 'memory'; input: { command: MemoryCommand; path: string } } =>
-        block.type === "tool_use" && block.name === "memory",
-    )
+		const memoryToolCalls = claudeResponseData.content.filter(
+			(
+				block: any,
+			): block is {
+				type: "tool_use"
+				id: string
+				name: "memory"
+				input: { command: MemoryCommand; path: string }
+			} => block.type === "tool_use" && block.name === "memory",
+		)
 
 		const results = await Promise.all(
 			memoryToolCalls.map((block: any) =>