mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-10-12 20:49:53 +08:00
dayuan.jiang
8ca2d03e7f
- lib/system-prompts.ts: delete the extended prompt kept only to reach the 4096-token cache threshold of two old Claude models; describe the current canvas-first UI in the App Features section - app/api/chat/route.ts: remove the server-side example cache (the browser answers examples itself), the ENABLE_HISTORY_XML_REPLACE option and its helper, the unread messageMetadata fields; the DEBUG_LLM_PAYLOAD blocks become one describeMessages summary - app/api/log-feedback and log-save share scoreLatestTrace in lib/langfuse.ts - app/api/admin/test-model and validate-model call a shared testModelConnection() instead of one route faking a request to the other and passing trust through the body - lib/dynamo-quota-manager.ts reads the failing item from the conditional update instead of a second GetItem - lib/ai-providers.ts: geminiThinkingOptions helper for the google and vertexai cases, drop the unused fourth resolveBaseURL parameter - edge-functions: always stream, shrink messageSchema, drop model aliases nothing sends - delete app/api/chat/xml_guide.md, parseOutputTokenLimit, unused type exports and export keywords on file-internal symbols - env.example: drop variables nothing reads, document the quota, validation and analytics variables, mention the apiKeyEnv array form (also in docs/*/ai-providers.md)
45 lines
1.4 KiB
TypeScript
45 lines
1.4 KiB
TypeScript
// @vitest-environment node
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import { describe, expect, it, vi } from "vitest"
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import { POST as logSave } from "@/app/api/log-save/route"
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// A Langfuse client with a trace to attach the save score to; the real
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// scoreLatestTrace runs against it
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const batch = vi.fn(async () => ({}))
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vi.mock("@/lib/langfuse", async (importOriginal) => ({
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...(await importOriginal<typeof import("@/lib/langfuse")>()),
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getLangfuseClient: () => ({
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api: {
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trace: { list: async () => ({ data: [{ id: "trace-1" }] }) },
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ingestion: { batch },
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},
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}),
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}))
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function post(body: unknown): Request {
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return new Request("http://localhost/api/log-save", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body),
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})
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}
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describe("POST /api/log-save", () => {
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it.each(["drawio", "png", "svg", "xmlsvg"])(
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"logs a save in %s format",
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async (format) => {
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const res = await logSave(
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post({ filename: "diagram", format, sessionId: "s1" }),
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)
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expect(res.status).toBe(200)
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expect(await res.json()).toEqual({ success: true, logged: true })
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},
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)
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it("rejects an unknown format", async () => {
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const res = await logSave(
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post({ filename: "diagram", format: "pdf", sessionId: "s1" }),
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)
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expect(res.status).toBe(400)
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})
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})
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