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import type {
LanguageModelV2CallOptions,
LanguageModelV2Middleware,
LanguageModelV2StreamPart,
} from "@ai-sdk/provider"
import Supermemory from "supermemory"
import { createLogger, type Logger } from "./logger"
import {
type OutputContentItem,
getLastUserMessage,
filterOutSupermemories,
} from "./util"
import { addSystemPrompt } from "./memory-prompt"
const getConversationContent = (params: LanguageModelV2CallOptions) => {
return params.prompt
.filter((msg) => msg.role !== "system" && msg.role !== "tool")
.map((msg) => {
const role = msg.role === "user" ? "User" : "Assistant"
if (typeof msg.content === "string") {
return `${role}: ${filterOutSupermemories(msg.content)}`
}
const content = msg.content
.filter((c) => c.type === "text")
.map((c) => (c.type === "text" ? filterOutSupermemories(c.text) : ""))
.join(" ")
return `${role}: ${content}`
})
.join("\n\n")
}
const addMemoryTool = async (
client: Supermemory,
containerTag: string,
conversationId: string | undefined,
assistantResponseText: string,
params: LanguageModelV2CallOptions,
logger: Logger,
): Promise<void> => {
const userMessage = getLastUserMessage(params)
const content = conversationId
? `${getConversationContent(params)} \n\n Assistant: ${assistantResponseText}`
: `User: ${userMessage} \n\n Assistant: ${assistantResponseText}`
const customId = conversationId ? `conversation:${conversationId}` : undefined
try {
const response = await client.memories.add({
content,
containerTags: [containerTag],
customId,
})
logger.info("Memory saved successfully", {
containerTag,
customId,
content,
contentLength: content.length,
memoryId: response.id,
})
} catch (error) {
logger.error("Error saving memory", {
error: error instanceof Error ? error.message : "Unknown error",
})
}
}
export const createSupermemoryMiddleware = (
containerTag: string,
conversationId?: string,
verbose = false,
mode: "profile" | "query" | "full" = "profile",
addMemory: "always" | "never" = "never",
): LanguageModelV2Middleware => {
const logger = createLogger(verbose)
const client = new Supermemory({
apiKey: process.env.SUPERMEMORY_API_KEY,
})
return {
transformParams: async ({ params }) => {
const userMessage = getLastUserMessage(params)
if (mode !== "profile") {
if (!userMessage) {
logger.debug("No user message found, skipping memory search")
return params
}
}
logger.info("Starting memory search", {
containerTag,
conversationId,
mode,
})
const transformedParams = await addSystemPrompt(
params,
containerTag,
logger,
mode,
)
return transformedParams
},
wrapGenerate: async ({ doGenerate, params }) => {
const userMessage = getLastUserMessage(params)
try {
const result = await doGenerate()
const assistantResponse = result.content
const assistantResponseText = assistantResponse
.map((content) => (content.type === "text" ? content.text : ""))
.join("")
if (addMemory === "always" && userMessage && userMessage.trim()) {
addMemoryTool(
client,
containerTag,
conversationId,
assistantResponseText,
params,
logger,
)
}
return result
} catch (error) {
logger.error("Error generating response", {
error: error instanceof Error ? error.message : "Unknown error",
})
throw error
}
},
wrapStream: async ({ doStream, params }) => {
const userMessage = getLastUserMessage(params)
let generatedText = ""
try {
const { stream, ...rest } = await doStream()
const transformStream = new TransformStream<
LanguageModelV2StreamPart,
LanguageModelV2StreamPart
>({
transform(chunk, controller) {
if (chunk.type === "text-delta") {
generatedText += chunk.delta
}
controller.enqueue(chunk)
},
flush: async () => {
const content: OutputContentItem[] = []
if (generatedText) {
content.push({
type: "text",
text: generatedText,
})
}
if (addMemory === "always" && userMessage && userMessage.trim()) {
addMemoryTool(
client,
containerTag,
conversationId,
generatedText,
params,
logger,
)
}
},
})
return {
stream: stream.pipeThrough(transformStream),
...rest,
}
} catch (error) {
logger.error("Error streaming response", {
error: error instanceof Error ? error.message : "Unknown error",
})
throw error
}
},
}
}
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