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5db9ceaba2
`claude-memory.ts` moved to src/ and five files in test/ kept importing `./claude-memory`; the Mastra and AI-SDK fixtures drifted behind their installed types. Together these left `bunx tsc --noEmit` unusable for the package. - repoint the five `./claude-memory` imports at `../src/claude-memory` - add the `state` property Mastra now requires on ProcessInputArgs and ProcessOutputResultArgs (35 fixtures) - add `totalTokens` to the two LanguageModelV2Usage fixtures and drop the `rawCall` property the type no longer has - iterate with `.entries()` instead of indexing, which was tripping noUncheckedIndexedAccess once the files started resolving - pass containerTag/customId through options in test-supermemory.ts, matching the current `withSupermemory` signature - exclude test/chatapp: a standalone Next.js demo with its own package.json, lockfile and tsconfig that has no business in this package's program Repointing the import also made test/claude-memory.test.ts loadable again, and it turned out to be a live-API suite: gate it behind SUPERMEMORY_API_KEY the same way the other integration suites are, so `vitest run` no longer collects a dozen 401s.
56 lines
1.5 KiB
TypeScript
56 lines
1.5 KiB
TypeScript
import { OpenAI } from "openai"
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import { withSupermemory } from "./src/openai"
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// Make sure to set these environment variables:
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// OPENAI_API_KEY=your_openai_api_key
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// SUPERMEMORY_API_KEY=your_supermemory_api_key
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const openai = new OpenAI({
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apiKey: process.env.OPENAI_API_KEY,
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})
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// Wrap OpenAI client with supermemory
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const openaiWithSupermemory = withSupermemory(openai, {
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containerTag: "test_user_123",
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customId: "test_user_123_chat",
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verbose: true, // Enable logging to see what's happening
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mode: "full", // Search both profile and query memories
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addMemory: "always", // Auto-save conversations as memories
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})
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// async function testChatCompletion() {
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// console.log("\n=== Testing Chat Completion ===")
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// const response = await openaiWithSupermemory.chat.completions.create({
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// model: "gpt-4o-mini",
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// messages: [
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// { role: "user", content: "My favorite color is blue" },
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// ],
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// })
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// console.log("Response:", response.choices[0]?.message.content)
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// }
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async function testResponses() {
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console.log("\n=== Testing Responses API ===")
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const response = await openaiWithSupermemory.chat.completions.create({
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model: "gpt-4o",
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messages: [{ role: "user", content: "what's my favoritge color?" }],
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})
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console.log(
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"Response:",
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JSON.stringify(response.choices[0]?.message.content, null, 2),
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)
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}
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// Run tests
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async function main() {
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try {
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// await testChatCompletion()
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await testResponses()
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} catch (error) {
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console.error("Error:", error)
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}
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}
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main()
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