docs: Fix Issues with Hierarchical tutorial (#1353)

Author: saba-ch

examples/multi_agent/hierarchical_agent_teams.ipynb

@@ -56,6 +56,18 @@
         "// import \"dotenv/config\";\n"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "id": "b2fe13d8",
+      "metadata": {},
+      "source": [
+        "### Install dependencies\n",
+        "\n",
+        "```bash\n",
+        "npm install @langchain/community @langchain/core @langchain/langgraph @langchain/openai @langchain/tavily canvas cheerio d3 tslab zod\n",
+        "```"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "11f28f8d",
@@ -77,17 +89,17 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "id": "193df01b",
       "metadata": {},
       "outputs": [],
       "source": [
-        "import { TavilySearchResults } from \"@langchain/community/tools/tavily_search\";\n",
+        "import { TavilySearch } from \"@langchain/tavily\";\n",
         "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
         "import { tool } from \"@langchain/core/tools\";\n",
         "import { z } from \"zod\";\n",
         "\n",
-        "const tavilyTool = new TavilySearchResults();\n",
+        "const tavilyTool = new TavilySearch();\n",
         "\n",
         "const scrapeWebpage = tool(async (input) => {\n",
         "    const loader = new CheerioWebBaseLoader(input.url);\n",
@@ -440,7 +452,7 @@
         "  ChatPromptTemplate,\n",
         "  MessagesPlaceholder,\n",
         "} from \"@langchain/core/prompts\";\n",
-        "import { JsonOutputToolsParser } from \"langchain/output_parsers\";\n",
+        "import { JsonOutputToolsParser } from \"@langchain/core/output_parsers/openai_tools\"\n",
         "import { ChatOpenAI } from \"@langchain/openai\";\n",
         "import { Runnable } from \"@langchain/core/runnables\";\n",
         "import { StructuredToolInterface } from \"@langchain/core/tools\";\n",
@@ -624,7 +636,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 9,
+      "execution_count": null,
       "id": "dff6a285",
       "metadata": {},
       "outputs": [],
@@ -645,7 +657,16 @@
         "  })\n",
         "  .addEdge(START, \"supervisor\");\n",
         "\n",
-        "const researchChain = researchGraph.compile();"
+        "const enterResearchChain = RunnableLambda.from(\n",
+        "  ({ messages }: { messages: BaseMessage[] }) => {\n",
+        "    return {\n",
+        "      messages: messages,\n",
+        "      team_members: [\"Search\", \"WebScraper\"],\n",
+        "    };\n",
+        "  },\n",
+        ");\n",
+        "\n",
+        "const researchChain = enterResearchChain.pipe(() => researchGraph.compile());"
       ]
     },
     {
@@ -953,7 +974,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 14,
+      "execution_count": null,
       "id": "2ab60a98",
       "metadata": {},
       "outputs": [],
@@ -985,7 +1006,7 @@
         "    };\n",
         "  },\n",
         ");\n",
-        "const authoringChain = enterAuthoringChain.pipe(authoringGraph.compile());"
+        "const authoringChain = enterAuthoringChain.pipe(() => authoringGraph.compile());"
       ]
     },
     {
@@ -1243,7 +1264,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 66,
+      "execution_count": null,
       "id": "0f40c195",
       "metadata": {},
       "outputs": [],
@@ -1257,6 +1278,7 @@
         "    const joinGraphResult = await joinGraph.invoke({\n",
         "      messages: researchChainResult.messages,\n",
         "    });\n",
+        "    return joinGraphResult;\n",
         "  })\n",
         "  .addNode(\"PaperWritingTeam\", getMessages.pipe(authoringChain).pipe(joinGraph))\n",
         "  .addNode(\"supervisor\", supervisorNode)\n",