v3: AI SDK pivot — pi removed, Next.js 16 + AI SDK 7 + AI Elements teacher app
The teaching agent no longer runs on pi. Stack: - ToolLoopAgent (ai@7) + OpenRouter (OPENROUTER_API_KEY), model via LH_MODEL, default anthropic/claude-sonnet-4.5 with reasoning tokens - quiz/ask_user_question = client-side tools (no server execute): the call lands as a typed tool part in input-available state; the card grades via src/core/question-core.ts; addToolOutput sends the verdict; the teacher's reaction continues the same assistant message - resume-mid-quiz is free: the pending tool part persists in the transcript - persistence: one JSON per chat (data/chats/), full UIMessage transcripts, saved onFinish (also on abort) - UI: AI Elements (owned copy-paste components, pruned to the five in use) + button-based QuizCard/AnsweredCard (ask answers never graded) - pi fully removed: TUI, extensions, Fastify+WS server, bridge, custom protocol all deleted (recoverable from git history) - tests: question-core units carry over; chat-flow integration drives handleChatRequest with MockLanguageModelV4 (48 tests, zero tokens); render smoke tests guard the cards (renderToStaticMarkup) Carried over unchanged: teacher system prompt, question-core, schema/ ledger/derive/extract pipeline, data model.
This commit is contained in:
@@ -0,0 +1,42 @@
|
||||
import { createAgentUIStreamResponse, type UIMessage } from "ai";
|
||||
import { createTeacherAgent, type TeacherAgent } from "../agent/teacher-agent.ts";
|
||||
import { getChat, saveMessages } from "../store/chats.ts";
|
||||
|
||||
/**
|
||||
* One chat turn: run the teacher agent over the client's message list and
|
||||
* stream the UI message stream back. Framework-free (plain Request/Response)
|
||||
* so tests can drive it directly with a scripted mock model — the Next route
|
||||
* handler in app/api/chat is a one-line wrapper.
|
||||
*
|
||||
* The client owns the message list between turns (useChat); the server
|
||||
* persists the canonical state (client messages + agent response) onFinish.
|
||||
*/
|
||||
export async function handleChatRequest(req: Request, agent?: TeacherAgent): Promise<Response> {
|
||||
let body: { chatId?: unknown; messages?: unknown };
|
||||
try {
|
||||
body = await req.json();
|
||||
} catch {
|
||||
return Response.json({ error: "Invalid JSON body" }, { status: 400 });
|
||||
}
|
||||
const chatId = typeof body.chatId === "string" ? body.chatId : "";
|
||||
if (!chatId || !getChat(chatId)) {
|
||||
return Response.json({ error: "Unknown chat" }, { status: 404 });
|
||||
}
|
||||
if (!Array.isArray(body.messages)) {
|
||||
return Response.json({ error: "messages must be an array" }, { status: 400 });
|
||||
}
|
||||
|
||||
return createAgentUIStreamResponse({
|
||||
agent: agent ?? createTeacherAgent(),
|
||||
uiMessages: body.messages as UIMessage[],
|
||||
onFinish: ({ messages, isAborted }) => {
|
||||
// Persist even when aborted: the partial transcript (including any
|
||||
// pending question part) is what makes resume work.
|
||||
try {
|
||||
saveMessages(chatId, messages as UIMessage[]);
|
||||
} catch (err) {
|
||||
console.error(`[chat ${chatId}] persist failed:`, err, { isAborted });
|
||||
}
|
||||
},
|
||||
});
|
||||
}
|
||||
Reference in New Issue
Block a user