✨ feat: support markdown type plugin (#865)

* ✨ feat: support markdown type plugin

* 🚨 ci: fix ci

* 🚨 ci: fix test

* ✨ feat: support trigger AI message and create assistant message

* ✅ test: add unit tests

* 📸 test: update test

* 📸 test: update test

* 💄 style: improve loading style

package.json

@@ -151,7 +151,7 @@
     "@types/ua-parser-js": "^0.7",
     "@types/uuid": "^9",
     "@umijs/lint": "^4",
-    "@vitest/coverage-v8": "0.34.6",
+    "@vitest/coverage-v8": "^1",
     "commitlint": "^18",
     "consola": "^3",
     "dpdm": "^3",
@@ -175,7 +175,7 @@
     "typescript": "^5",
     "unified": "^11",
     "unist-util-visit": "^5",
-    "vitest": "0.34.6",
+    "vitest": "^1",
     "vitest-canvas-mock": "^0.3.3"
   },
   "publishConfig": {

src/database/schemas/message.ts

@@ -11,7 +11,7 @@ const PluginSchema = z.object({
   identifier: z.string(),
   arguments: z.string(),
   apiName: z.string(),
-  type: z.enum(['default', 'standalone', 'builtin']).default('default'),
+  type: z.enum(['default', 'markdown', 'standalone', 'builtin']).default('default'),
 });
 
 export const DB_MessageSchema = z.object({

src/features/Conversation/ChatList/Plugins/Render/BuiltinType/index.tsx

@@ -1,5 +1,4 @@
 import { memo } from 'react';
-import { Flexbox } from 'react-layout-kit';
 
 import { BuiltinToolsRenders } from '@/tools/renders';
 
@@ -17,13 +16,7 @@ const BuiltinType = memo<BuiltinTypeProps>(({ content, id, identifier, loading }
   const { isJSON, data } = useParseContent(content);
 
   if (!isJSON) {
-    return (
-      loading && (
-        <Flexbox gap={8}>
-          <Loading />
-        </Flexbox>
-      )
-    );
+    return loading && <Loading />;
   }
 
   const Render = BuiltinToolsRenders[identifier || ''];

src/features/Conversation/ChatList/Plugins/Render/DefaultType/index.tsx

@@ -1,7 +1,6 @@
 import { Skeleton } from 'antd';
 import dynamic from 'next/dynamic';
 import { Suspense, memo } from 'react';
-import { Flexbox } from 'react-layout-kit';
 
 import { useToolStore } from '@/store/tool';
 import { pluginSelectors } from '@/store/tool/selectors';
@@ -24,13 +23,7 @@ const PluginDefaultType = memo<PluginDefaultTypeProps>(({ content, name, loading
   const { isJSON, data } = useParseContent(content);
 
   if (!isJSON) {
-    return (
-      loading && (
-        <Flexbox gap={8}>
-          <Loading />
-        </Flexbox>
-      )
-    );
+    return loading && <Loading />;
   }
 
   if (!manifest?.ui) return;

src/features/Conversation/ChatList/Plugins/Render/MarkdownType/index.tsx

@@ -0,0 +1,17 @@
+import { Markdown } from '@lobehub/ui';
+import { memo } from 'react';
+
+import Loading from '../Loading';
+
+export interface PluginMarkdownTypeProps {
+  content: string;
+  loading?: boolean;
+}
+
+const PluginMarkdownType = memo<PluginMarkdownTypeProps>(({ content, loading }) => {
+  if (loading) return <Loading />;
+
+  return <Markdown>{content}</Markdown>;
+});
+
+export default PluginMarkdownType;

src/features/Conversation/ChatList/Plugins/Render/StandaloneType/Iframe.tsx

@@ -9,10 +9,12 @@ import { pluginSelectors } from '@/store/tool/selectors';
 
 import { useOnPluginReadyForInteraction } from '../utils/iframeOnReady';
 import {
+  useOnPluginCreateAssistantMessage,
   useOnPluginFetchMessage,
   useOnPluginFetchPluginSettings,
   useOnPluginFetchPluginState,
   useOnPluginFillContent,
+  useOnPluginTriggerAIMessage,
 } from '../utils/listenToPlugin';
 import { useOnPluginSettingsUpdate } from '../utils/pluginSettings';
 import { useOnPluginStateUpdate } from '../utils/pluginState';
@@ -118,6 +120,21 @@ const IFrameRender = memo<IFrameRenderProps>(({ url, id, payload, width = 600, h
     updatePluginSettings(payload?.identifier, value);
   });
 
+  // when plugin want to trigger AI message
+  const triggerAIMessage = useChatStore((s) => s.triggerAIMessage);
+  useOnPluginTriggerAIMessage((messageId) => {
+    // we need to know which message to trigger
+    if (messageId !== id) return;
+
+    triggerAIMessage(id);
+  });
+
+  // when plugin want to create an assistant message
+  const createAssistantMessage = useChatStore((s) => s.createAssistantMessageByPlugin);
+  useOnPluginCreateAssistantMessage((content) => {
+    createAssistantMessage(content, id);
+  });
+
   return (
     <>
       {loading && <Skeleton active style={{ maxWidth: '100%', width }} />}

src/features/Conversation/ChatList/Plugins/Render/index.tsx

@@ -5,6 +5,7 @@ import { LobeToolRenderType } from '@/types/tool';
 
 import BuiltinType from '././BuiltinType';
 import DefaultType from './DefaultType';
+import Markdown from './MarkdownType';
 import Standalone from './StandaloneType';
 
 export interface PluginRenderProps {
@@ -27,6 +28,10 @@ const PluginRender = memo<PluginRenderProps>(
         return <BuiltinType content={content} id={id} identifier={identifier} loading={loading} />;
       }
 
+      case 'markdown': {
+        return <Markdown content={content} loading={loading} />;
+      }
+
       default: {
         return <DefaultType content={content} loading={loading} name={identifier} />;
       }

src/features/Conversation/ChatList/Plugins/Render/utils/listenToPlugin.test.ts

@@ -3,10 +3,12 @@ import { renderHook } from '@testing-library/react';
 import { afterEach, describe, expect, it, vi } from 'vitest';
 
 import {
+  useOnPluginCreateAssistantMessage,
   useOnPluginFetchMessage,
   useOnPluginFetchPluginSettings,
   useOnPluginFetchPluginState,
   useOnPluginFillContent,
+  useOnPluginTriggerAIMessage,
 } from './listenToPlugin';
 
 afterEach(() => {
@@ -102,3 +104,61 @@ describe('useOnPluginFetchPluginSettings', () => {
     expect(mockOnRequest).toHaveBeenCalled();
   });
 });
+
+describe('useOnPluginTriggerAIMessage', () => {
+  it('calls callback with id when a triggerAIMessage is received', () => {
+    const mockCallback = vi.fn();
+    renderHook(() => useOnPluginTriggerAIMessage(mockCallback));
+
+    const testId = 'testId';
+    const event = new MessageEvent('message', {
+      data: { type: PluginChannel.triggerAIMessage, id: testId },
+    });
+
+    window.dispatchEvent(event);
+
+    expect(mockCallback).toHaveBeenCalledWith(testId);
+  });
+
+  it('does not call callback for other message types', () => {
+    const mockCallback = vi.fn();
+    renderHook(() => useOnPluginTriggerAIMessage(mockCallback));
+
+    const event = new MessageEvent('message', {
+      data: { type: 'otherMessageType', id: 'testId' },
+    });
+
+    window.dispatchEvent(event);
+
+    expect(mockCallback).not.toHaveBeenCalled();
+  });
+});
+
+describe('useOnPluginCreateAssistantMessage', () => {
+  it('calls callback with content when a createAssistantMessage is received', () => {
+    const mockCallback = vi.fn();
+    renderHook(() => useOnPluginCreateAssistantMessage(mockCallback));
+
+    const testContent = 'testContent';
+    const event = new MessageEvent('message', {
+      data: { type: PluginChannel.createAssistantMessage, content: testContent },
+    });
+
+    window.dispatchEvent(event);
+
+    expect(mockCallback).toHaveBeenCalledWith(testContent);
+  });
+
+  it('does not call callback for other message types', () => {
+    const mockCallback = vi.fn();
+    renderHook(() => useOnPluginCreateAssistantMessage(mockCallback));
+
+    const event = new MessageEvent('message', {
+      data: { type: 'otherMessageType', content: 'testContent' },
+    });
+
+    window.dispatchEvent(event);
+
+    expect(mockCallback).not.toHaveBeenCalled();
+  });
+});

src/features/Conversation/ChatList/Plugins/Render/utils/listenToPlugin.ts

@@ -63,3 +63,33 @@ export const useOnPluginFetchPluginSettings = (onRequest: () => void) => {
     };
   }, []);
 };
+
+export const useOnPluginTriggerAIMessage = (callback: (id: string) => void) => {
+  useEffect(() => {
+    const fn = (e: MessageEvent) => {
+      if (e.data.type === PluginChannel.triggerAIMessage) {
+        callback(e.data.id);
+      }
+    };
+
+    window.addEventListener('message', fn);
+    return () => {
+      window.removeEventListener('message', fn);
+    };
+  }, []);
+};
+
+export const useOnPluginCreateAssistantMessage = (callback: (content: string) => void) => {
+  useEffect(() => {
+    const fn = (e: MessageEvent) => {
+      if (e.data.type === PluginChannel.createAssistantMessage) {
+        callback(e.data.content);
+      }
+    };
+
+    window.addEventListener('message', fn);
+    return () => {
+      window.removeEventListener('message', fn);
+    };
+  }, []);
+};

src/services/__tests__/__snapshots__/plugin.test.ts.snap

@@ -33,17 +33,17 @@ General guidelines:
 - Inform users if information is not from Wolfram endpoints.
 - Display image URLs with Markdown syntax: ![URL]
 - ALWAYS use this exponent notation: \`6*10^14\`, NEVER \`6e14\`.
-- ALWAYS use {\\"input\\": query} structure for queries to Wolfram endpoints; \`query\` must ONLY be a single-line string.
-- ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.:  '$$\\\\n[expression]\\\\n$$' for standalone cases and '\\\\( [expression] \\\\)' when inline.
+- ALWAYS use {"input": query} structure for queries to Wolfram endpoints; \`query\` must ONLY be a single-line string.
+- ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.:  '$$\\n[expression]\\n$$' for standalone cases and '\\( [expression] \\)' when inline.
 - Format inline Wolfram Language code with Markdown code formatting.
 - Never mention your knowledge cutoff date; Wolfram may return more recent data.
 getWolframAlphaResults guidelines:
 - Understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.
 - Performs mathematical calculations, date and unit conversions, formula solving, etc.
-- Convert inputs to simplified keyword queries whenever possible (e.g. convert \\"how many people live in France\\" to \\"France population\\").
+- Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population").
 - Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).
 - Use named physical constants (e.g., 'speed of light') without numerical substitution.
-- Include a space between compound units (e.g., \\"Ω m\\" for \\"ohm*meter\\").
+- Include a space between compound units (e.g., "Ω m" for "ohm*meter").
 - To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).
 - If data for multiple properties is needed, make separate calls for each property.
 - If a Wolfram Alpha result is not relevant to the query:
@@ -55,22 +55,22 @@ getWolframCloudResults guidelines:
 - Accepts only syntactically correct Wolfram Language code.
 - Performs complex calculations, data analysis, plotting, data import, and information retrieval.
 - Before writing code that uses Entity, EntityProperty, EntityClass, etc. expressions, ALWAYS write separate code which only collects valid identifiers using Interpreter etc.; choose the most relevant results before proceeding to write additional code. Examples:
- -- Find the EntityType that represents countries: \`Interpreter[\\"EntityType\\",AmbiguityFunction->All][\\"countries\\"]\`.
- -- Find the Entity for the Empire State Building: \`Interpreter[\\"Building\\",AmbiguityFunction->All][\\"empire state\\"]\`.
- -- EntityClasses: Find the \\"Movie\\" entity class for Star Trek movies: \`Interpreter[\\"MovieClass\\",AmbiguityFunction->All][\\"star trek\\"]\`.
- -- Find EntityProperties associated with \\"weight\\" of \\"Element\\" entities: \`Interpreter[Restricted[\\"EntityProperty\\", \\"Element\\"],AmbiguityFunction->All][\\"weight\\"]\`.
- -- If all else fails, try to find any valid Wolfram Language representation of a given input: \`SemanticInterpretation[\\"skyscrapers\\",_,Hold,AmbiguityFunction->All]\`.
- -- Prefer direct use of entities of a given type to their corresponding typeData function (e.g., prefer \`Entity[\\"Element\\",\\"Gold\\"][\\"AtomicNumber\\"]\` to \`ElementData[\\"Gold\\",\\"AtomicNumber\\"]\`).
+ -- Find the EntityType that represents countries: \`Interpreter["EntityType",AmbiguityFunction->All]["countries"]\`.
+ -- Find the Entity for the Empire State Building: \`Interpreter["Building",AmbiguityFunction->All]["empire state"]\`.
+ -- EntityClasses: Find the "Movie" entity class for Star Trek movies: \`Interpreter["MovieClass",AmbiguityFunction->All]["star trek"]\`.
+ -- Find EntityProperties associated with "weight" of "Element" entities: \`Interpreter[Restricted["EntityProperty", "Element"],AmbiguityFunction->All]["weight"]\`.
+ -- If all else fails, try to find any valid Wolfram Language representation of a given input: \`SemanticInterpretation["skyscrapers",_,Hold,AmbiguityFunction->All]\`.
+ -- Prefer direct use of entities of a given type to their corresponding typeData function (e.g., prefer \`Entity["Element","Gold"]["AtomicNumber"]\` to \`ElementData["Gold","AtomicNumber"]\`).
 - When composing code:
  -- Use batching techniques to retrieve data for multiple entities in a single call, if applicable.
  -- Use Association to organize and manipulate data when appropriate.
  -- Optimize code for performance and minimize the number of calls to external sources (e.g., the Wolfram Knowledgebase)
  -- Use only camel case for variable names (e.g., variableName).
- -- Use ONLY double quotes around all strings, including plot labels, etc. (e.g., \`PlotLegends -> {\\"sin(x)\\", \\"cos(x)\\", \\"tan(x)\\"}\`).
+ -- Use ONLY double quotes around all strings, including plot labels, etc. (e.g., \`PlotLegends -> {"sin(x)", "cos(x)", "tan(x)"}\`).
  -- Avoid use of QuantityMagnitude.
- -- If unevaluated Wolfram Language symbols appear in API results, use \`EntityValue[Entity[\\"WolframLanguageSymbol\\",symbol],{\\"PlaintextUsage\\",\\"Options\\"}]\` to validate or retrieve usage information for relevant symbols; \`symbol\` may be a list of symbols.
+ -- If unevaluated Wolfram Language symbols appear in API results, use \`EntityValue[Entity["WolframLanguageSymbol",symbol],{"PlaintextUsage","Options"}]\` to validate or retrieve usage information for relevant symbols; \`symbol\` may be a list of symbols.
  -- Apply Evaluate to complex expressions like integrals before plotting (e.g., \`Plot[Evaluate[Integrate[...]]]\`).
-- Remove all comments and formatting from code passed to the \\"input\\" parameter; for example: instead of \`square[x_] := Module[{result},\\\\n  result = x^2 (* Calculate the square *)\\\\n]\`, send \`square[x_]:=Module[{result},result=x^2]\`.
+- Remove all comments and formatting from code passed to the "input" parameter; for example: instead of \`square[x_] := Module[{result},\\n  result = x^2 (* Calculate the square *)\\n]\`, send \`square[x_]:=Module[{result},result=x^2]\`.
 - In ALL responses that involve code, write ALL code in Wolfram Language; create Wolfram Language functions even if an implementation is already well known in another language.
 ",
   "type": "default",

src/store/chat/slices/message/action.ts

@@ -8,7 +8,6 @@ import { StateCreator } from 'zustand/vanilla';
 import { GPT4_VISION_MODEL_DEFAULT_MAX_TOKENS } from '@/const/llm';
 import { LOADING_FLAT, isFunctionMessageAtStart, testFunctionMessageAtEnd } from '@/const/message';
 import { CreateMessageParams } from '@/database/models/message';
-import { DB_Message } from '@/database/schemas/message';
 import { chatService } from '@/services/chat';
 import { messageService } from '@/services/message';
 import { topicService } from '@/services/topic';
@@ -238,7 +237,7 @@ export const chatMessage: StateCreator<
     const { model } = getAgentConfig();
 
     // 1. Add an empty message to place the AI response
-    const assistantMessage: DB_Message = {
+    const assistantMessage: CreateMessageParams = {
       role: 'assistant',
       content: LOADING_FLAT,
       fromModel: model,
@@ -383,7 +382,7 @@ export const chatMessage: StateCreator<
     toggleChatLoading(false, undefined, n('generateMessage(end)') as string);
 
     // also exist message like this:
-    // 请稍等，我帮您查询一下。{"function_call": {"name": "plugin-identifier____recommendClothes____standalone", "arguments": "{\n "mood": "",\n "gender": "man"\n}"}}
+    // 请稍等，我帮您查询一下。{"tool_calls": {"name": "plugin-identifier____recommendClothes____standalone", "arguments": "{\n "mood": "",\n "gender": "man"\n}"}}
     if (!isFunctionCall) {
       const { content, valid } = testFunctionMessageAtEnd(output);