Summarize into new chat suggested action (#34)

src/components/chat/ChatInput.tsx

@@ -22,8 +22,12 @@ import { useCallback, useEffect, useRef, useState } from "react";
 import { ModelPicker } from "@/components/ModelPicker";
 import { useSettings } from "@/hooks/useSettings";
 import { IpcClient } from "@/ipc/ipc_client";
-import { chatInputValueAtom, chatMessagesAtom } from "@/atoms/chatAtoms";
+import {
-import { atom, useAtom, useSetAtom } from "jotai";
+  chatInputValueAtom,
+  chatMessagesAtom,
+  selectedChatIdAtom,
+} from "@/atoms/chatAtoms";
+import { atom, useAtom, useSetAtom, useAtomValue } from "jotai";
 import { useStreamChat } from "@/hooks/useStreamChat";
 import { useChats } from "@/hooks/useChats";
 import { selectedAppIdAtom } from "@/atoms/appAtoms";
@@ -48,6 +52,13 @@ import { AutoApproveSwitch } from "../AutoApproveSwitch";
 import { usePostHog } from "posthog-js/react";
 import { CodeHighlight } from "./CodeHighlight";
 import { TokenBar } from "./TokenBar";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipProvider,
+  TooltipTrigger,
+} from "../ui/tooltip";
+import { useNavigate } from "@tanstack/react-router";
 
 const showTokenBarAtom = atom(false);
 
@@ -305,8 +316,43 @@ export function ChatInput({ chatId }: { chatId?: number }) {
   );
 }
 
+function SummarizeInNewChatButton() {
+  const [chatId] = useAtom(selectedChatIdAtom);
+  const appId = useAtomValue(selectedAppIdAtom);
+  const { streamMessage } = useStreamChat();
+  const navigate = useNavigate();
+  const onClick = async () => {
+    if (!appId) {
+      console.error("No app id found");
+      return;
+    }
+    const newChatId = await IpcClient.getInstance().createChat(appId);
+    // navigate to new chat
+    await navigate({ to: "/chat", search: { id: newChatId } });
+    await streamMessage({
+      prompt: "Summarize from chat-id=" + chatId,
+      chatId: newChatId,
+    });
+  };
+  return (
+    <TooltipProvider>
+      <Tooltip>
+        <TooltipTrigger asChild>
+          <Button variant="outline" size="sm" onClick={onClick}>
+            Summarize to new chat
+          </Button>
+        </TooltipTrigger>
+        <TooltipContent>
+          <p>Creating a new chat makes the AI more focused and efficient</p>
+        </TooltipContent>
+      </Tooltip>
+    </TooltipProvider>
+  );
+}
 function mapActionToButton(action: SuggestedAction) {
   switch (action.id) {
+    case "summarize-in-new-chat":
+      return <SummarizeInNewChatButton />;
     default:
       console.error(`Unsupported action: ${action.id}`);
       return (
@@ -323,7 +369,6 @@ function ActionProposalActions({ proposal }: { proposal: ActionProposal }) {
       <div className="flex items-center space-x-2">
         {proposal.actions.map((action) => mapActionToButton(action))}
       </div>
-      <AutoApproveSwitch />
     </div>
   );
 }

src/hooks/useProposal.ts

@@ -7,7 +7,6 @@ export function useProposal(chatId?: number | undefined) {
   const [proposalResult, setProposalResult] = useAtom(proposalResultAtom);
   const [isLoading, setIsLoading] = useState<boolean>(false);
   const [error, setError] = useState<string | null>(null);
-
   const fetchProposal = useCallback(
     async (overrideChatId?: number) => {
       chatId = overrideChatId ?? chatId;
@@ -19,7 +18,6 @@ export function useProposal(chatId?: number | undefined) {
       }
       setIsLoading(true);
       setError(null);
-      setProposalResult(null); // Reset on new fetch
       try {
         // Type assertion might be needed depending on how IpcClient is typed
         const result = (await IpcClient.getInstance().getProposal(
@@ -39,7 +37,7 @@ export function useProposal(chatId?: number | undefined) {
         setIsLoading(false);
       }
     },
-    [chatId]
+    [chatId] // Only depend on chatId, setProposalResult is stable
   ); // Depend on chatId
 
   useEffect(() => {

src/ipc/handlers/chat_stream_handlers.ts

@@ -1,5 +1,5 @@
 import { ipcMain } from "electron";
-import { streamText } from "ai";
+import { CoreMessage, streamText } from "ai";
 import { db } from "../../db";
 import { chats, messages } from "../../db/schema";
 import { and, eq, isNull } from "drizzle-orm";
@@ -21,6 +21,7 @@ import {
   getSupabaseContext,
   getSupabaseClientCode,
 } from "../../supabase_admin/supabase_context";
+import { SUMMARIZE_CHAT_SYSTEM_PROMPT } from "../../prompts/summarize_chat_system_prompt";
 
 const logger = log.scope("chat_stream_handlers");
 
@@ -165,22 +166,47 @@ export function registerChatStreamHandlers() {
         } else {
           systemPrompt += "\n\n" + SUPABASE_NOT_AVAILABLE_SYSTEM_PROMPT;
         }
+        const isSummarizeIntent = req.prompt.startsWith(
+          "Summarize from chat-id="
+        );
+        if (isSummarizeIntent) {
+          systemPrompt = SUMMARIZE_CHAT_SYSTEM_PROMPT;
+        }
+        let chatMessages = [
+          {
+            role: "user",
+            content: "This is my codebase. " + codebaseInfo,
+          },
+          {
+            role: "assistant",
+            content: "OK, got it. I'm ready to help",
+          },
+          ...messageHistory,
+        ] satisfies CoreMessage[];
+        if (isSummarizeIntent) {
+          const previousChat = await db.query.chats.findFirst({
+            where: eq(chats.id, parseInt(req.prompt.split("=")[1])),
+            with: {
+              messages: {
+                orderBy: (messages, { asc }) => [asc(messages.createdAt)],
+              },
+            },
+          });
+          chatMessages = [
+            {
+              role: "user",
+              content:
+                "Summarize the following chat: " +
+                formatMessages(previousChat?.messages ?? []),
+            } satisfies CoreMessage,
+          ];
+        }
         const { textStream } = streamText({
           maxTokens: getMaxTokens(settings.selectedModel),
           temperature: 0,
           model: modelClient,
           system: systemPrompt,
-          messages: [
+          messages: chatMessages,
-            {
-              role: "user",
-              content: "This is my codebase. " + codebaseInfo,
-            },
-            {
-              role: "assistant",
-              content: "OK, got it. I'm ready to help",
-            },
-            ...messageHistory,
-          ],
           onError: (error) => {
             logger.error("Error streaming text:", error);
             const message =
@@ -362,3 +388,11 @@ export function registerChatStreamHandlers() {
     return true;
   });
 }
+
+export function formatMessages(
+  messages: { role: string; content: string | undefined }[]
+) {
+  return messages
+    .map((m) => `<message role="${m.role}">${m.content}</message>`)
+    .join("\n");
+}

src/ipc/handlers/proposal_handlers.ts

@@ -4,9 +4,10 @@ import type {
   FileChange,
   ProposalResult,
   SqlQuery,
+  ActionProposal,
 } from "../../lib/schemas";
 import { db } from "../../db";
-import { messages } from "../../db/schema";
+import { messages, chats } from "../../db/schema";
 import { desc, eq, and, Update } from "drizzle-orm";
 import path from "node:path"; // Import path for basename
 // Import tag parsers
@@ -21,6 +22,7 @@ import {
 } from "../processors/response_processor";
 import log from "electron-log";
 import { isServerFunction } from "../../supabase_admin/supabase_utils";
+import { estimateMessagesTokens, getContextWindow } from "../utils/token_utils";
 
 const logger = log.scope("proposal_handlers");
 
@@ -60,10 +62,45 @@ const getProposalHandler = async (
       },
     });
 
-    if (latestAssistantMessage?.approvalState === "rejected") {
+    if (
-      return null;
+      latestAssistantMessage?.approvalState === "rejected" ||
-    }
+      latestAssistantMessage?.approvalState === "approved"
-    if (latestAssistantMessage?.approvalState === "approved") {
+    ) {
+      // Get all chat messages to calculate token usage
+      const chat = await db.query.chats.findFirst({
+        where: eq(chats.id, chatId),
+        with: {
+          messages: {
+            orderBy: (messages, { asc }) => [asc(messages.createdAt)],
+          },
+        },
+      });
+
+      if (chat) {
+        // Calculate total tokens from message history
+        const totalTokens = estimateMessagesTokens(chat.messages);
+        const contextWindow = Math.min(getContextWindow(), 100_000);
+        logger.log(
+          `Token usage: ${totalTokens}/${contextWindow} (${
+            (totalTokens / contextWindow) * 100
+          }%)`
+        );
+
+        // If we're using more than 80% of the context window, suggest summarizing
+        if (totalTokens > contextWindow * 0.8) {
+          logger.log(
+            `Token usage high (${totalTokens}/${contextWindow}), suggesting summarize action`
+          );
+          return {
+            proposal: {
+              type: "action-proposal",
+              actions: [{ id: "summarize-in-new-chat" }],
+            },
+            chatId,
+            messageId: latestAssistantMessage.id,
+          };
+        }
+      }
       return null;
     }
 
@@ -131,7 +168,12 @@ const getProposalHandler = async (
           "packages=",
           proposal.packagesAdded.length
         );
-        return { proposal, chatId, messageId }; // Return proposal and messageId
+
+        return {
+          proposal: proposal,
+          chatId,
+          messageId,
+        };
       } else {
         logger.log(
           "No relevant tags found in the latest assistant message content."
@@ -228,7 +270,7 @@ const rejectProposalHandler = async (
         eq(messages.chatId, chatId),
         eq(messages.role, "assistant")
       ),
-      columns: { id: true }, // Only need to confirm existence
+      columns: { id: true },
     });
 
     if (!messageToReject) {

src/ipc/handlers/token_count_handlers.ts

@@ -15,14 +15,10 @@ import { readSettings } from "../../main/settings";
 import { MODEL_OPTIONS } from "../../constants/models";
 import { TokenCountParams } from "../ipc_types";
 import { TokenCountResult } from "../ipc_types";
+import { estimateTokens, getContextWindow } from "../utils/token_utils";
 
 const logger = log.scope("token_count_handlers");
 
-// Estimate tokens (4 characters per token)
-const estimateTokens = (text: string): number => {
-  return Math.ceil(text.length / 4);
-};
-
 export function registerTokenCountHandlers() {
   ipcMain.handle(
     "chat:count-tokens",
@@ -108,20 +104,3 @@ export function registerTokenCountHandlers() {
     }
   );
 }
-
-const DEFAULT_CONTEXT_WINDOW = 128_000;
-
-function getContextWindow() {
-  const settings = readSettings();
-  const model = settings.selectedModel;
-  if (!MODEL_OPTIONS[model.provider as keyof typeof MODEL_OPTIONS]) {
-    logger.warn(
-      `Model provider ${model.provider} not found in MODEL_OPTIONS. Using default max tokens.`
-    );
-    return DEFAULT_CONTEXT_WINDOW;
-  }
-  const modelOption = MODEL_OPTIONS[
-    model.provider as keyof typeof MODEL_OPTIONS
-  ].find((m) => m.name === model.name);
-  return modelOption?.contextWindow || DEFAULT_CONTEXT_WINDOW;
-}

src/ipc/utils/token_utils.ts

@@ -0,0 +1,35 @@
+import { readSettings } from "../../main/settings";
+import { Message } from "../ipc_types";
+import { MODEL_OPTIONS } from "../../constants/models";
+import log from "electron-log";
+
+const logger = log.scope("token_utils");
+
+// Estimate tokens (4 characters per token)
+export const estimateTokens = (text: string): number => {
+  return Math.ceil(text.length / 4);
+};
+
+export const estimateMessagesTokens = (messages: Message[]): number => {
+  return messages.reduce(
+    (acc, message) => acc + estimateTokens(message.content),
+    0
+  );
+};
+
+const DEFAULT_CONTEXT_WINDOW = 128_000;
+
+export function getContextWindow() {
+  const settings = readSettings();
+  const model = settings.selectedModel;
+  if (!MODEL_OPTIONS[model.provider as keyof typeof MODEL_OPTIONS]) {
+    logger.warn(
+      `Model provider ${model.provider} not found in MODEL_OPTIONS. Using default max tokens.`
+    );
+    return DEFAULT_CONTEXT_WINDOW;
+  }
+  const modelOption = MODEL_OPTIONS[
+    model.provider as keyof typeof MODEL_OPTIONS
+  ].find((m) => m.name === model.name);
+  return modelOption?.contextWindow || DEFAULT_CONTEXT_WINDOW;
+}

src/lib/schemas.ts

@@ -156,7 +156,7 @@ export interface CodeProposal {
 }
 
 export interface SuggestedAction {
-  id: "restart-app";
+  id: "restart-app" | "summarize-in-new-chat";
 }
 
 export interface ActionProposal {

src/prompts/summarize_chat_system_prompt.ts

@@ -0,0 +1,8 @@
+export const SUMMARIZE_CHAT_SYSTEM_PROMPT = `
+You are a helpful assistant that understands long conversations and can summarize them in a few bullet points.
+
+I want you to write down the gist of the conversation in a few bullet points, focusing on the major changes, particularly
+at the end of the conversation.
+
+Use <dyad-chat-summary> for setting the chat summary (put this at the end). The chat summary should be less than a sentence, but more than a few words. YOU SHOULD ALWAYS INCLUDE EXACTLY ONE CHAT TITLE
+`;