Initial commit: deerflow-server (frontend-web + offline-backend-20260512)

frontend-web/src/core/artifacts/loader.ts

@@ -0,0 +1,48 @@
+import type { BaseStream } from "@langchain/langgraph-sdk/react";
+
+import { apiFetch } from "../api";
+import type { AgentThreadState } from "../threads";
+
+import { urlOfArtifact } from "./utils";
+
+export async function loadArtifactContent({
+  filepath,
+  threadId,
+  isMock,
+}: {
+  filepath: string;
+  threadId: string;
+  isMock?: boolean;
+}) {
+  let enhancedFilepath = filepath;
+  if (filepath.endsWith(".skill")) {
+    enhancedFilepath = filepath + "/SKILL.md";
+  }
+  const url = urlOfArtifact({ filepath: enhancedFilepath, threadId, isMock });
+  const response = await apiFetch(url);
+  const text = await response.text();
+  return { content: text, url };
+}
+
+export function loadArtifactContentFromToolCall({
+  url: urlString,
+  thread,
+}: {
+  url: string;
+  thread: BaseStream<AgentThreadState>;
+}) {
+  const url = new URL(urlString);
+  const toolCallId = url.searchParams.get("tool_call_id");
+  const messageId = url.searchParams.get("message_id");
+  if (messageId && toolCallId) {
+    const message = thread.messages.find((message) => message.id === messageId);
+    if (message?.type === "ai" && message.tool_calls) {
+      const toolCall = message.tool_calls.find(
+        (toolCall) => toolCall.id === toolCallId,
+      );
+      if (toolCall) {
+        return toolCall.args.content;
+      }
+    }
+  }
+}