Spracherkennung für: .ts vermutete Sprache: Unknown {[0] [0] [0]} [Methode: Schwerpunktbildung, einfache Gewichte, sechs Dimensionen]
import { buildHistoryContextFromEntries, type HistoryEntry } from "../auto-reply/reply/history.js";
import { extractTextFromChatContent } from "../shared/chat-content.js";
export type ConversationEntry = {
role: "user" | "assistant" | "tool";
entry: HistoryEntry;
};
/**
* Coerce body to string. Handles cases where body is a content array
* (e.g. [{type:"text", text:"hello"}]) that would serialize as
* [object Object] if used directly in a template literal.
*/
function safeBody(body: unknown): string {
if (typeof body === "string") {
return body;
}
return extractTextFromChatContent(body) ?? "";
}
export function buildAgentMessageFromConversationEntries(entries: ConversationEntry[]): string {
if (entries.length === 0) {
return "";
}
// Prefer the last user/tool entry as "current message" so the agent responds to
// the latest user input or tool output, not the assistant's previous message.
let currentIndex = -1;
for (let i = entries.length - 1; i >= 0; i -= 1) {
const role = entries[i]?.role;
if (role === "user" || role === "tool") {
currentIndex = i;
break;
}
}
if (currentIndex < 0) {
currentIndex = entries.length - 1;
}
const currentEntry = entries[currentIndex]?.entry;
if (!currentEntry) {
return "";
}
const historyEntries = entries.slice(0, currentIndex).map((e) => e.entry);
if (historyEntries.length === 0) {
return safeBody(currentEntry.body);
}
const formatEntry = (entry: HistoryEntry) => `${entry.sender}: ${safeBody(entry.body)}`;
return buildHistoryContextFromEntries({
entries: [...historyEntries, currentEntry],
currentMessage: formatEntry(currentEntry),
formatEntry,
});
}
¤ Dauer der Verarbeitung: 0.15 Sekunden
(vorverarbeitet am 2026-04-27)
¤
*© Formatika GbR, Deutschland