feat(rectification): add agentic birth-time rectification MVP

Add a new agentic rectification flow that lets an LLM drive the full
jyotish-vedic-astrology methodology on the web, with the Python engine as
its computation layer (mirroring local Claude Code):

- mastra/rectification-tools.ts: 7 engine tools (gate/scan/score/diagnostics/
  candidate-features/confirm/save-birth-time)
- mastra/agentic-rectification.ts: agent mounting the full skill + tools
- lib/rectification-agentic/session.ts: server-owned profile + confirmation
  gate; the LLM can only persist the exact minute the engine's high-rigor
  gate confirmed
- app/api/rectification/agent/route.ts: NDJSON streaming endpoint with
  credit reserve/settle
- components/rectification-agentic-chat.tsx + entry switch: new sessions use
  the agentic chat; in-progress v4 cases still resume on the v4 panel
- migration 20260801000000: service-role RPC writing profiles.active_birth_time
  with baseline concurrency guard
- tests for tools + session (12 cases); full suite passes 1076

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Jesse_Chen
2026-08-01 02:20:00 +08:00
co-authored by Claude
parent e30e0f7320
commit 9417148b0a
11 changed files with 1933 additions and 1 deletions
@@ -1,6 +1,10 @@
"use client";
import { useEffect, useState } from "react";
import { loadActiveRectificationV4 } from "../lib/rectification-v4/client.ts";
import type { PublicLanguageModel } from "../lib/public-models.ts";
import { AgenticRectificationChat } from "./rectification-agentic-chat.tsx";
import { ChatMessageRow } from "./chat-message-row.tsx";
import {
RectificationV4Panel,
type RectificationV4Continuation,
@@ -14,8 +18,56 @@ export type ConversationalBirthTimeRectificationProps = Readonly<{
continuationPending?: boolean;
onPendingChange?: (pending: boolean) => void;
onContinueOriginalQuestion?: (continuation: RectificationV4Continuation) => void;
onSaved?: (time: string) => void;
}>;
/**
* Birth-time rectification surface.
*
* Resumes an existing v4 evidence case when one is still in progress (so users
* never lose a saved candidate range), and otherwise opens the agentic chat
* where the LLM drives the full Jyotish rectification methodology with the
* engine as its computation layer.
*/
export function ConversationalBirthTimeRectification(props: ConversationalBirthTimeRectificationProps) {
return <RectificationV4Panel {...props} />;
const [mode, setMode] = useState<"loading" | "v4" | "agentic">("loading");
useEffect(() => {
let mounted = true;
void (async () => {
const existing = await loadActiveRectificationV4().catch(() => null);
if (mounted) setMode(existing ? "v4" : "agentic");
})();
return () => { mounted = false; };
}, []);
if (mode === "loading") {
return (
<section className="conversation" aria-label="生时校正对话" aria-busy>
<div className="message-list" aria-live="polite">
<ChatLoadingRow />
<div />
</div>
</section>
);
}
if (mode === "v4") {
return <RectificationV4Panel {...props} />;
}
return <AgenticRectificationChat {...props} />;
}
function ChatLoadingRow() {
return (
<ChatMessageRow
message={{
role: "assistant",
text: "",
renderKey: "agentic-loading",
state: "thinking",
}}
/>
);
}
@@ -0,0 +1,213 @@
"use client";
import { ArrowUp } from "lucide-react";
import { useEffect, useRef, useState } from "react";
import { parseAgentReply } from "@/lib/agent-reply";
import type { ChatMessageView } from "@/lib/chat-message-view";
import type { PublicLanguageModel } from "@/lib/public-models";
import { ChatMessageRow } from "./chat-message-row";
import { ModelSelector } from "./model-selector";
import { Button } from "./ui/button";
import { Textarea } from "./ui/textarea";
type AgenticRectificationChatProps = Readonly<{
models: readonly PublicLanguageModel[];
selectedModelId: string;
onSelectModel: (modelId: string) => void;
pendingConsultationQuestion?: string | null;
continuationPending?: boolean;
onPendingChange?: (pending: boolean) => void;
onSaved?: (time: string) => void;
}>;
type RenderMessage = ChatMessageView;
const savedSentinel = /<!--AYANAM_RECTIFICATION_SAVED:(\d{2}:\d{2})-->/;
export function AgenticRectificationChat(props: AgenticRectificationChatProps) {
const pendingQuestion = props.pendingConsultationQuestion?.trim();
const [messages, setMessages] = useState<RenderMessage[]>(() => pendingQuestion ? [{
role: "assistant",
text: `我先陪你把出生时间范围核对清楚,之后再回到你原来的问题:“${pendingQuestion}`,
renderKey: "agentic-pending-consultation",
state: "settled",
}] : []);
const [draft, setDraft] = useState("");
const [busy, setBusy] = useState(false);
const [error, setError] = useState("");
const [savedTime, setSavedTime] = useState<string | null>(null);
const [suggestions, setSuggestions] = useState<string[]>([]);
const composer = useRef<HTMLTextAreaElement>(null);
const conversationEnd = useRef<HTMLDivElement>(null);
const keyCounter = useRef(0);
const setPending = (value: boolean) => {
setBusy(value);
props.onPendingChange?.(value);
};
useEffect(() => {
const reduceMotion = window.matchMedia("(prefers-reduced-motion: reduce)").matches;
conversationEnd.current?.scrollIntoView({
behavior: busy || reduceMotion ? "auto" : "smooth",
block: "end",
});
}, [busy, error, messages.length, savedTime]);
async function send(question: string) {
const trimmed = question.trim();
if (!trimmed || busy) return;
setError("");
setSavedTime(null);
setSuggestions([]);
setPending(true);
keyCounter.current += 1;
const requestId = globalThis.crypto.randomUUID();
const history = messages
.filter((message) => message.state === "settled")
.map((message) => ({ role: message.role, text: message.text }));
const turnKey = keyCounter.current;
const userRenderKey = `agentic-user-${turnKey}`;
const assistantRenderKey = `agentic-assistant-${turnKey}`;
setMessages((current) => [
...current,
{ role: "user", text: trimmed, renderKey: userRenderKey, state: "settled" },
{ role: "assistant", text: "", renderKey: assistantRenderKey, state: "thinking" },
]);
setDraft("");
let raw = "";
try {
const response = await fetch("/api/rectification/agent", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ requestId, modelId: props.selectedModelId, history, message: trimmed }),
});
if (!response.ok) {
const payload = await response.json().catch(() => null);
const message = payload?.message || payload?.error || `请求失败(${response.status}`;
if (response.status === 402) setError(`咨询点数不足:${message}`);
else if (response.status === 401) setError("请先登录。");
else setError(message);
return;
}
if (!response.body) {
setError("服务暂时不可用,请稍后再试。");
return;
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() ?? "";
for (const line of lines) {
if (!line.trim()) continue;
let event: { type: string; text?: string; message?: string };
try {
event = JSON.parse(line) as { type: string; text?: string; message?: string };
} catch {
continue;
}
if (event.type === "delta" && typeof event.text === "string") {
raw += event.text;
const parsed = parseAgentReply(raw, "general");
setMessages((current) => current.map((message) => message.renderKey === assistantRenderKey
? { ...message, text: parsed.text, state: "streaming" }
: message));
setSuggestions(parsed.suggestions);
const saved = raw.match(savedSentinel);
if (saved) setSavedTime(saved[1]);
} else if (event.type === "error") {
setError(event.message || "生时校正暂时不可用,请稍后再试。");
}
}
}
const parsed = parseAgentReply(raw, "general");
setMessages((current) => current.map((message) => message.renderKey === assistantRenderKey
? { ...message, text: parsed.text, state: "settled" }
: message));
setSuggestions(parsed.suggestions);
const saved = raw.match(savedSentinel);
if (saved) {
setSavedTime(saved[1]);
props.onSaved?.(saved[1]);
}
} catch {
setError("生时校正暂时不可用,请稍后再试。");
setMessages((current) => current.filter((message) => message.renderKey !== assistantRenderKey));
} finally {
setPending(false);
}
}
async function submit(event: React.FormEvent) {
event.preventDefault();
await send(draft);
}
const canSend = !busy;
return (
<>
<section className="conversation" aria-label="生时校正对话" aria-busy={busy}>
<div className="message-list" aria-live="polite">
{messages.map((message) => <ChatMessageRow key={message.renderKey} message={message} />)}
{savedTime && (
<p className="error-message" role="status">
{savedTime}使
</p>
)}
{error && <p className="error-message" role="alert">{error}</p>}
<div ref={conversationEnd} />
</div>
</section>
<div className="composer-wrap">
{suggestions.length > 0 && !busy && (
<div className="composer-suggestions" aria-label="推荐继续提问">
{suggestions.map((question) => (
<button key={question} type="button" onClick={() => void send(question)}>{question}</button>
))}
</div>
)}
<form className="composer" onSubmit={submit}>
<Textarea
ref={composer}
aria-label="继续描述你的经历或回答"
value={draft}
disabled={!canSend}
placeholder="继续说你记得的人生经历,或回答刚才的问题…"
onChange={(event) => setDraft(event.target.value)}
onKeyDown={(event) => {
if (event.key === "Enter" && !event.shiftKey && !event.nativeEvent.isComposing) {
event.preventDefault();
event.currentTarget.form?.requestSubmit();
}
}}
/>
<Button aria-label="发送" disabled={!draft.trim() || !canSend} size="icon" type="submit">
<ArrowUp aria-hidden="true" />
</Button>
</form>
<div className="composer-footer">
<ModelSelector
models={props.models}
selectedModelId={props.selectedModelId}
disabled={busy}
onSelect={props.onSelectModel}
/>
</div>
</div>
</>
);
}