diff --git a/app/(docs)/@chat/chat/[chatId]/chatArea.tsx b/app/(docs)/@chat/chat/[chatId]/chatArea.tsx
index 80c28aba..7b8c7e7f 100644
--- a/app/(docs)/@chat/chat/[chatId]/chatArea.tsx
+++ b/app/(docs)/@chat/chat/[chatId]/chatArea.tsx
@@ -1,6 +1,7 @@
 "use client";
 
 import { ChatAreaStateUpdater } from "@/(docs)/chatAreaState";
+import { useStreamingChatContext } from "@/(docs)/streamingChatContext";
 import { deleteChatAction } from "@/actions/deleteChat";
 import { ChatWithMessages } from "@/lib/chatHistory";
 import { LanguageEntry, MarkdownSection, PageEntry } from "@/lib/docs";
@@ -11,7 +12,10 @@ import Link from "next/link";
 import { useRouter } from "next/navigation";
 import { ReactNode } from "react";
 
-export function ChatAreaContainer(props: { chatId: string; children: ReactNode }) {
+export function ChatAreaContainer(props: {
+  chatId: string;
+  children: ReactNode;
+}) {
   return (
     <aside
       className={clsx(
@@ -75,6 +79,8 @@ export function ChatAreaContent(props: Props) {
   );
 
   const router = useRouter();
+  const streamingChatContext = useStreamingChatContext();
+  const isStreamingThis = streamingChatContext.chatId === chatId;
 
   return (
     <>
@@ -203,6 +209,12 @@ export function ChatAreaContent(props: Props) {
           </div>
         )
       )}
+      {isStreamingThis && (
+        <div className="">
+          <StyledMarkdown content={streamingChatContext.content} />
+          <span className="loading loading-dots loading-sm" />
+        </div>
+      )}
     </>
   );
 }
diff --git a/app/(docs)/@docs/[lang]/[pageId]/chatForm.tsx b/app/(docs)/@docs/[lang]/[pageId]/chatForm.tsx
index 65dfd501..349f07bb 100644
--- a/app/(docs)/@docs/[lang]/[pageId]/chatForm.tsx
+++ b/app/(docs)/@docs/[lang]/[pageId]/chatForm.tsx
@@ -9,9 +9,10 @@ import { useState, FormEvent, useEffect } from "react";
 // import { getLanguageName } from "../pagesList";
 import { DynamicMarkdownSection } from "./pageContent";
 import { useEmbedContext } from "@/terminal/embedContext";
-import { askAI } from "@/actions/chatActions";
 import { PagePath } from "@/lib/docs";
 import { useRouter } from "next/navigation";
+import { ChatStreamEvent } from "@/api/chat/route";
+import { useStreamingChatContext } from "@/(docs)/streamingChatContext";
 
 interface ChatFormProps {
   path: PagePath;
@@ -30,6 +31,7 @@ export function ChatForm({ path, sectionContent, close }: ChatFormProps) {
   const { files, replOutputs, execResults } = useEmbedContext();
 
   const router = useRouter();
+  const streamingChatContext = useStreamingChatContext();
 
   // const documentContentInView = sectionContent
   //   .filter((s) => s.inView)
@@ -64,39 +66,96 @@ export function ChatForm({ path, sectionContent, close }: ChatFormProps) {
   const handleSubmit = async (e: FormEvent<HTMLFormElement>) => {
     e.preventDefault();
     setIsLoading(true);
-    setErrorMessage(null); // Clear previous error message
+    setErrorMessage(null);
 
     const userQuestion = inputValue;
-    // if (!userQuestion && exampleData) {
-    //   // 質問が空欄なら、質問例を使用
-    //   userQuestion =
-    //     exampleData[Math.floor(exampleChoice * exampleData.length)];
-    //   setInputValue(userQuestion);
-    // }
-
-    const result = await askAI({
-      path,
-      userQuestion,
-      sectionContent,
-      replOutputs,
-      files,
-      execResults,
-    });
-
-    if (result.error !== null) {
-      setErrorMessage(result.error);
-      console.log(result.error);
-    } else {
-      document.getElementById(result.chat.sectionId)?.scrollIntoView({
-        behavior: "smooth",
+
+    let response: Response;
+    try {
+      response = await fetch("/api/chat", {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify({
+          path,
+          userQuestion,
+          sectionContent,
+          replOutputs,
+          files,
+          execResults,
+        }),
       });
-      router.push(`/chat/${result.chat.chatId}`, { scroll: false });
-      router.refresh();
-      setInputValue("");
-      close();
+    } catch {
+      setErrorMessage("AIへの接続に失敗しました");
+      setIsLoading(false);
+      return;
+    }
+
+    if (!response.ok) {
+      setErrorMessage(`エラーが発生しました (${response.status})`);
+      setIsLoading(false);
+      return;
     }
 
-    setIsLoading(false);
+    const reader = response.body!.getReader();
+    const decoder = new TextDecoder();
+    let buffer = "";
+    let navigated = false;
+
+    // ストリームを非同期で読み続ける（ナビゲーション後もバックグラウンドで継続）
+    void (async () => {
+      try {
+        while (true) {
+          const result = await reader.read();
+          const { done, value } = result;
+          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;
+            try {
+              const event = JSON.parse(line) as ChatStreamEvent;
+
+              if (event.type === "chat") {
+                streamingChatContext.startStreaming(event.chatId);
+                document.getElementById(event.sectionId)?.scrollIntoView({
+                  behavior: "smooth",
+                });
+                router.push(`/chat/${event.chatId}`, { scroll: false });
+                router.refresh();
+                navigated = true;
+                setIsLoading(false);
+                setInputValue("");
+                close();
+              } else if (event.type === "chunk") {
+                streamingChatContext.appendChunk(event.text);
+              } else if (event.type === "done") {
+                streamingChatContext.finishStreaming();
+                router.refresh();
+              } else if (event.type === "error") {
+                if (!navigated) {
+                  setErrorMessage(event.message);
+                  setIsLoading(false);
+                }
+                streamingChatContext.finishStreaming();
+              }
+            } catch {
+              // ignore JSON parse errors
+            }
+          }
+        }
+      } catch (err) {
+        console.error("Stream reading failed:", err);
+        // ナビゲーション後のエラーはストリーミングを終了してローディングを止める
+        if (!navigated) {
+          setErrorMessage(String(err));
+          setIsLoading(false);
+        }
+        streamingChatContext.finishStreaming();
+      }
+    })();
   };
 
   return (
diff --git a/app/(docs)/layout.tsx b/app/(docs)/layout.tsx
index bee7fa3e..ae6226d2 100644
--- a/app/(docs)/layout.tsx
+++ b/app/(docs)/layout.tsx
@@ -1,5 +1,6 @@
 import { ReactNode } from "react";
 import { ChatAreaStateProvider } from "./chatAreaState";
+import { StreamingChatProvider } from "./streamingChatContext";
 
 // app/(workspace)/layout.tsx
 export default function WorkspaceLayout({
@@ -12,15 +13,17 @@ export default function WorkspaceLayout({
   chat: ReactNode;
 }) {
   return (
-    <ChatAreaStateProvider>
-      <div className="w-full flex flex-row">
-        {docs}
+    <StreamingChatProvider>
+      <ChatAreaStateProvider>
+        <div className="w-full flex flex-row">
+          {docs}
 
-        {chat}
+          {chat}
 
-        {/* children（page.tsx）は今回は使わないか、背景として利用 */}
-        {children}
-      </div>
-    </ChatAreaStateProvider>
+          {/* children（page.tsx）は今回は使わないか、背景として利用 */}
+          {children}
+        </div>
+      </ChatAreaStateProvider>
+    </StreamingChatProvider>
   );
 }
diff --git a/app/(docs)/streamingChatContext.tsx b/app/(docs)/streamingChatContext.tsx
new file mode 100644
index 00000000..0af506ec
--- /dev/null
+++ b/app/(docs)/streamingChatContext.tsx
@@ -0,0 +1,56 @@
+"use client";
+
+import {
+  createContext,
+  ReactNode,
+  useCallback,
+  useContext,
+  useState,
+} from "react";
+
+interface StreamingChatContextData {
+  chatId: string | null;
+  content: string;
+  startStreaming: (chatId: string) => void;
+  appendChunk: (chunk: string) => void;
+  finishStreaming: () => void;
+}
+
+const StreamingChatContext = createContext<StreamingChatContextData>(null!);
+
+export function useStreamingChatContext() {
+  return useContext(StreamingChatContext);
+}
+
+export function StreamingChatProvider({ children }: { children: ReactNode }) {
+  const [chatId, setChatId] = useState<string | null>(null);
+  const [content, setContent] = useState("");
+
+  const startStreaming = useCallback((chatId: string) => {
+    setContent("");
+    setChatId(chatId);
+  }, []);
+
+  const appendChunk = useCallback((chunk: string) => {
+    setContent((prev) => prev + chunk);
+  }, []);
+
+  const finishStreaming = useCallback(() => {
+    setChatId(null);
+    setContent("");
+  }, []);
+
+  return (
+    <StreamingChatContext.Provider
+      value={{
+        chatId,
+        content,
+        startStreaming,
+        appendChunk,
+        finishStreaming,
+      }}
+    >
+      {children}
+    </StreamingChatContext.Provider>
+  );
+}
diff --git a/app/actions/chatActions.ts b/app/api/chat/route.ts
similarity index 59%
rename from app/actions/chatActions.ts
rename to app/api/chat/route.ts
index de3183dc..e37708a1 100644
--- a/app/actions/chatActions.ts
+++ b/app/api/chat/route.ts
@@ -1,26 +1,14 @@
-"use server";
-
-// import { z } from "zod";
-import { generateContent } from "./gemini";
-import { ReplCommand, ReplOutput } from "@my-code/runtime/interface";
+import { NextRequest } from "next/server";
+import { generateContentStream } from "@/lib/ai";
 import {
   addChat,
-  ChatWithMessages,
+  addMessagesAndDiffs,
   CreateChatDiff,
   initContext,
 } from "@/lib/chatHistory";
 import { getPagesList, introSectionId, PagePath, SectionId } from "@/lib/docs";
 import { DynamicMarkdownSection } from "@/(docs)/@docs/[lang]/[pageId]/pageContent";
-
-type ChatResult =
-  | {
-      error: string;
-    }
-  | {
-      error: null;
-      // サーバー側でデータベースに新しく追加されたチャットデータ
-      chat: ChatWithMessages;
-    };
+import { ReplCommand, ReplOutput } from "@my-code/runtime/interface";
 
 type ChatParams = {
   path: PagePath;
@@ -31,24 +19,21 @@ type ChatParams = {
   execResults: Record<string, ReplOutput[]>;
 };
 
-export async function askAI(params: ChatParams): Promise<ChatResult> {
-  // const parseResult = ChatSchema.safeParse(params);
+export type ChatStreamEvent =
+  | { type: "chat"; chatId: string; sectionId: string }
+  | { type: "chunk"; text: string }
+  | { type: "done" }
+  | { type: "error"; message: string };
 
-  // if (!parseResult.success) {
-  //   return {
-  //     response: "",
-  //     error: parseResult.error.issues.map((e) => e.message).join(", "),
-  //   };
-  // }
+export async function POST(request: NextRequest) {
+  const context = await initContext();
+  if (!context.userId) {
+    return new Response("Unauthorized", { status: 401 });
+  }
 
-  const {
-    path,
-    userQuestion,
-    sectionContent,
-    replOutputs,
-    files,
-    execResults,
-  } = params;
+  const params = (await request.json()) as ChatParams;
+  const { path, userQuestion, sectionContent, replOutputs, files, execResults } =
+    params;
 
   const pagesList = await getPagesList();
   const langName = pagesList.find((lang) => lang.id === path.lang)?.name;
@@ -86,7 +71,6 @@ export async function askAI(params: ChatParams): Promise<ChatResult> {
     prompt.push(``);
   }
   prompt.push(``);
-  // TODO: 各セクションのドキュメントの直下にそのセクション内のターミナルの情報を加えるべきなのでは?
   if (Object.keys(replOutputs).length > 0) {
     prompt.push(
       `# ターミナルのログ（ユーザーが入力したコマンドとその実行結果）`
@@ -199,65 +183,147 @@ export async function askAI(params: ChatParams): Promise<ChatResult> {
 
   console.log(prompt);
 
-  try {
-    const result = await generateContent(userQuestion, prompt.join("\n"));
-    const text = result.text;
-    if (!text) {
-      throw new Error("AIからの応答が空でした");
-    }
-    console.log(JSON.stringify(text));
-    const textMatch = text.match(/^([^\n]*?)\n+([^\n]*?)\n+([\s\S]*)$/);
-    let targetSectionId = textMatch?.at(1)?.trim() as SectionId | undefined;
-    if (
-      !targetSectionId ||
-      !sectionContent.some((s) => s.id === targetSectionId)
-    ) {
-      targetSectionId = introSectionId(path);
-    }
-    const title = textMatch?.at(2)?.trim();
-    if (!title) {
-      throw new Error("AIからの応答にタイトルが含まれていませんでした");
-    }
-    let responseMessage = textMatch?.at(3)?.trim();
-    if (!responseMessage) {
-      throw new Error("AIからの応答に本文が含まれていませんでした");
-    }
-    const diffRegex =
-      /<{3,}\s*SEARCH\n([\s\S]*?)\n={3,}\n([\s\S]*?)\n>{3,}\s*REPLACE/g;
-    const diffRaw: CreateChatDiff[] = [];
-    for (const m of responseMessage.matchAll(diffRegex) ?? []) {
-      const search = m[1];
-      const replace = m[2];
-      const targetSection = sectionContent.find((s) =>
-        s.replacedContent.includes(search)
-      );
-      diffRaw.push({
-        search,
-        replace,
-        sectionId: targetSection?.id ?? ("" as SectionId),
-        targetMD5: targetSection?.md5 ?? "",
-      });
-    }
-    responseMessage = responseMessage.replace(diffRegex, "").trim();
-    const newChat = await addChat(
-      path,
-      targetSectionId,
-      title,
-      [
-        { role: "user", content: userQuestion },
-        { role: "ai", content: responseMessage },
-      ],
-      diffRaw,
-      await initContext()
-    );
-    return {
-      error: null,
-      chat: newChat,
-    };
-  } catch (error: unknown) {
-    console.error("Error calling Generative AI:", error);
-    return {
-      error: String(error),
-    };
-  }
+  const encoder = new TextEncoder();
+
+  const stream = new ReadableStream({
+    async start(controller) {
+      function send(event: ChatStreamEvent) {
+        controller.enqueue(encoder.encode(JSON.stringify(event) + "\n"));
+      }
+
+      try {
+        let fullText = "";
+        let headerParsed = false;
+        let chatId: string | undefined;
+        let contentAfterHeader = "";
+
+        for await (const chunk of generateContentStream(
+          userQuestion,
+          prompt.join("\n")
+        )) {
+          console.log("Received chunk:", [chunk]);
+        
+          fullText += chunk;
+
+          if (!headerParsed) {
+            // Wait until we have at least 2 lines (sectionId + title + start of body)
+            const headerMatch = fullText.match(/^([^\n]*?)\n+([^\n]*?)\n+/);
+            if (headerMatch) {
+              headerParsed = true;
+              let targetSectionId = headerMatch[1].trim() as SectionId;
+              const title = headerMatch[2].trim();
+
+              if (
+                !targetSectionId ||
+                !sectionContent.some((s) => s.id === targetSectionId)
+              ) {
+                targetSectionId = introSectionId(path);
+              }
+
+              if (!title) {
+                send({
+                  type: "error",
+                  message: "AIからの応答にタイトルが含まれていませんでした",
+                });
+                controller.close();
+                return;
+              }
+
+              // Create chat record in DB immediately
+              const newChat = await addChat(
+                path,
+                targetSectionId,
+                title,
+                [{ role: "user", content: userQuestion }],
+                [],
+                context
+              );
+              chatId = newChat.chatId;
+
+              // Notify client with chatId so navigation can happen
+              send({
+                type: "chat",
+                chatId,
+                sectionId: targetSectionId,
+              });
+
+              // Send any content that came after the header in this chunk
+              contentAfterHeader = fullText.slice(headerMatch[0].length);
+              if (contentAfterHeader) {
+                send({ type: "chunk", text: contentAfterHeader });
+              }
+            }
+          } else {
+            // Header already parsed - stream the chunk directly
+            contentAfterHeader += chunk;
+            send({ type: "chunk", text: chunk });
+          }
+        }
+
+        // AI response finished
+        if (!chatId) {
+          // Header was never parsed (e.g. very short response without 2 newlines)
+          send({
+            type: "error",
+            message: "AIからの応答の形式が正しくありませんでした",
+          });
+          controller.close();
+          return;
+        }
+
+        // Parse diffs from the full body content
+        const diffRegex =
+          /<{3,}\s*SEARCH\n([\s\S]*?)\n={3,}\n([\s\S]*?)\n>{3,}\s*REPLACE/g;
+        const diffRaw: CreateChatDiff[] = [];
+        for (const m of contentAfterHeader.matchAll(diffRegex)) {
+          const search = m[1];
+          const replace = m[2];
+          const targetSection = sectionContent.find((s) =>
+            s.replacedContent.includes(search)
+          );
+          diffRaw.push({
+            search,
+            replace,
+            sectionId: targetSection?.id ?? ("" as SectionId),
+            targetMD5: targetSection?.md5 ?? "",
+          });
+        }
+        const cleanMessage = contentAfterHeader.replace(diffRegex, "").trim();
+
+        // Save messages and diffs to DB
+        await addMessagesAndDiffs(
+          chatId,
+          path,
+          [
+            { role: "ai", content: cleanMessage },
+          ],
+          diffRaw,
+          context
+        );
+
+        send({ type: "done" });
+        controller.close();
+      } catch (error: unknown) {
+        console.error("Error in AI streaming:", error);
+        try {
+          controller.enqueue(
+            encoder.encode(
+              JSON.stringify({ type: "error", message: String(error) }) + "\n"
+            )
+          );
+        } catch {
+          // controller might already be closed
+        }
+        controller.close();
+      }
+    },
+  });
+
+  return new Response(stream, {
+    headers: {
+      "Content-Type": "text/plain; charset=utf-8",
+      "X-Content-Type-Options": "nosniff",
+      "Cache-Control": "no-cache",
+    },
+  });
 }
diff --git a/app/lib/ai.ts b/app/lib/ai.ts
new file mode 100644
index 00000000..9bf70a75
--- /dev/null
+++ b/app/lib/ai.ts
@@ -0,0 +1,104 @@
+import { GoogleGenAI } from "@google/genai";
+
+/**
+ * AI APIからコンテンツをストリーミング生成する非同期ジェネレーター。
+ * OpenRouter (環境変数が設定されている場合) または Google Gemini を使用する。
+ */
+export async function* generateContentStream(
+  prompt: string,
+  systemInstruction?: string
+): AsyncGenerator<string> {
+  const openRouterApiKey = process.env.OPENROUTER_API_KEY;
+  const openRouterModel = process.env.OPENROUTER_MODEL;
+
+  if (openRouterApiKey && openRouterModel) {
+    const models = openRouterModel
+      .split(";")
+      .map((m) => m.trim())
+      .filter(Boolean);
+
+    const messages: { role: string; content: string }[] = [];
+    if (systemInstruction) {
+      messages.push({ role: "system", content: systemInstruction });
+    }
+    messages.push({ role: "user", content: prompt });
+
+    const response = await fetch(
+      "https://openrouter.ai/api/v1/chat/completions",
+      {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          Authorization: `Bearer ${openRouterApiKey}`,
+        },
+        body: JSON.stringify({ models, messages, stream: true }),
+      }
+    );
+
+    if (!response.ok) {
+      const body = await response.text();
+      throw new Error(
+        `OpenRouter APIエラー: ${response.status} ${response.statusText} - ${body}`
+      );
+    }
+
+    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.startsWith("data: ")) continue;
+        const data = line.slice(6);
+        if (data === "[DONE]") return;
+        try {
+          const parsed = JSON.parse(data) as {
+            choices?: { delta?: { content?: string | null } }[];
+          };
+          const content = parsed.choices?.[0]?.delta?.content;
+          if (content) yield content;
+        } catch {
+          // ignore parse errors for malformed SSE lines
+        }
+      }
+    }
+    return;
+  }
+
+  const params = {
+    model: "gemini-2.5-flash",
+    contents: prompt,
+    config: {
+      systemInstruction,
+    },
+  };
+
+  const ai = new GoogleGenAI({ apiKey: process.env.API_KEY! });
+
+  try {
+    const stream = await ai.models.generateContentStream(params);
+    for await (const chunk of stream) {
+      if (chunk.text) yield chunk.text;
+    }
+  } catch (e: unknown) {
+    if (String(e).includes("User location is not supported")) {
+      const aiWithProxy = new GoogleGenAI({
+        apiKey: process.env.API_KEY!,
+        httpOptions: {
+          baseUrl: "https://gemini-proxy.utcode.net",
+        },
+      });
+      const stream = await aiWithProxy.models.generateContentStream(params);
+      for await (const chunk of stream) {
+        if (chunk.text) yield chunk.text;
+      }
+    } else {
+      throw e;
+    }
+  }
+}
diff --git a/app/lib/chatHistory.ts b/app/lib/chatHistory.ts
index cc28ce4c..c2182006 100644
--- a/app/lib/chatHistory.ts
+++ b/app/lib/chatHistory.ts
@@ -141,6 +141,42 @@ export async function addChat(
 
 export type ChatWithMessages = Awaited<ReturnType<typeof addChat>>;
 
+/**
+ * 既存のチャットにメッセージと差分を追加し、キャッシュを再検証する。
+ * ストリーミング完了後に使用する。
+ */
+export async function addMessagesAndDiffs(
+  chatId: string,
+  path: PagePath,
+  messages: CreateChatMessage[],
+  diffRaw: CreateChatDiff[],
+  context: Context
+) {
+  const { drizzle, userId } = context;
+  if (!userId) {
+    throw new Error("Not authenticated");
+  }
+
+  await drizzle.insert(message).values(
+    messages.map((msg) => ({
+      chatId,
+      role: msg.role,
+      content: msg.content,
+    }))
+  );
+
+  if (diffRaw.length > 0) {
+    await drizzle.insert(diff).values(
+      diffRaw.map((d) => ({
+        chatId,
+        ...d,
+      }))
+    );
+  }
+
+  await revalidateChat(chatId, userId, path);
+}
+
 export async function deleteChat(chatId: string, context: Context) {
   const { drizzle, userId } = context;
   if (!userId) {
diff --git a/package-lock.json b/package-lock.json
index c1c4b215..e06b8298 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1961,7 +1961,6 @@
       "cpu": [
         "arm"
       ],
-      "dev": true,
       "license": "MIT",
       "optional": true,
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@@ -4857,8 +4835,7 @@
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