docs[patch]: Refactor duckduckgo doc to use langgraph agent (#6415)

langchain-ai · Aug 6, 2024 · 3c69464 · 3c69464
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diff --git a/docs/core_docs/docs/integrations/toolkits/openapi.ipynb b/docs/core_docs/docs/integrations/toolkits/openapi.ipynb
@@ -216,8 +216,6 @@
    "source": [
     "import { createReactAgent } from \"@langchain/langgraph/prebuilt\"\n",
     "\n",
-    "import { ChatOpenAI } from \"@langchain/openai\";\n",
-    "\n",
     "const agentExecutor = createReactAgent({ llm, tools });"
    ]
   },

diff --git a/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb b/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "| Class | Package | Serializable | [PY support](https://python.langchain.com/docs/integrations/tools/ddg/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
-    "| [DuckDuckGoSearch](https://api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) | [@langchain/community](https://api.js.langchain.com/modules/langchain_community_tools_duckduckgo_search.html) | beta | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
+    "| [DuckDuckGoSearch](https://api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) | [@langchain/community](https://api.js.langchain.com/modules/langchain_community_tools_duckduckgo_search.html) | ❌ | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
     "## Setup\n",
     "\n",
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "af3123ad-7a02-40e5-b58e-7d56e23e5830",
    "metadata": {},
    "outputs": [],
@@ -261,61 +261,70 @@
    "source": [
     "## With an agent\n",
     "\n",
-    "We can also pass the `DuckDuckGoSearch` tool to an agent:"
+    "We can also pass the `DuckDuckGoSearch` tool to an agent. First, ensure you have the LangGraph package installed.\n",
+    "\n",
+    "```{=mdx}\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/langgraph\n",
+    "</Npm2Yarn>\n",
+    "```"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 3,
    "id": "77a05a61",
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { DuckDuckGoSearch } from \"@langchain/community/tools/duckduckgo_search\";\n",
+    "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
+    "\n",
+    "// Define the tools the agent will have access to.\n",
+    "const toolsForAgent = [new DuckDuckGoSearch({ maxResults: 1 })];\n",
+    "\n",
+    "const agentExecutor = createReactAgent({ llm, tools: toolsForAgent });"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3130e547",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{\n",
-      "  input: \"What is Anthropic's estimated revenue for 2024?\",\n",
-      "  output: 'Anthropic has projected that it will generate more than $850 million in annualized revenue by the end of 2024.'\n",
-      "}\n"
+      "[\n",
+      "  {\n",
+      "    name: 'duckduckgo-search',\n",
+      "    args: { input: 'Anthropic estimated revenue 2024' },\n",
+      "    type: 'tool_call',\n",
+      "    id: 'call_eZwbyemMAu8tgQw4VqJs65hF'\n",
+      "  }\n",
+      "]\n",
+      "[{\"title\":\"Anthropic forecasts more than $850 mln in annualized revenue rate by ...\",\"link\":\"https://www.reuters.com/technology/anthropic-forecasts-more-than-850-mln-annualized-revenue-rate-by-2024-end-report-2023-12-26/\",\"snippet\":\"Dec 26 (Reuters) - Artificial intelligence startup <b>Anthropic</b> has projected it will generate more than $850 million in annualized <b>revenue</b> by the end of <b>2024</b>, the Information reported on Tuesday ...\"}]\n",
+      "Anthropic is projected to generate more than $850 million in annualized revenue by the end of 2024.\n"
      ]
     }
    ],
    "source": [
-    "import { DuckDuckGoSearch } from \"@langchain/community/tools/duckduckgo_search\";\n",
-    "import { ChatOpenAI } from \"@langchain/openai\";\n",
-    "import type { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
-    "\n",
-    "import { pull } from \"langchain/hub\";\n",
-    "import { AgentExecutor, createOpenAIFunctionsAgent } from \"langchain/agents\";\n",
+    "const exampleQuery = \"What is Anthropic's estimated revenue for 2024?\"\n",
     "\n",
-    "// Define the tools the agent will have access to.\n",
-    "const toolsForAgent = [new DuckDuckGoSearch({ maxResults: 1 })];\n",
+    "const events = await agentExecutor.stream(\n",
+    "  { messages: [[\"user\", exampleQuery]]},\n",
+    "  { streamMode: \"values\", }\n",
+    ")\n",
     "\n",
-    "// Get the prompt to use - you can modify this!\n",
-    "// If you want to see the prompt in full, you can at:\n",
-    "// https://smith.langchain.com/hub/hwchase17/openai-functions-agent\n",
-    "const promptForAgent = await pull<ChatPromptTemplate>(\n",
-    "  \"hwchase17/openai-functions-agent\"\n",
-    ");\n",
-    "const llmForAgent = new ChatOpenAI({\n",
-    "  model: \"gpt-4-turbo-preview\",\n",
-    "  temperature: 0,\n",
-    "});\n",
-    "const agent = await createOpenAIFunctionsAgent({\n",
-    "  llm: llmForAgent,\n",
-    "  tools: toolsForAgent,\n",
-    "  prompt: promptForAgent,\n",
-    "});\n",
-    "const agentExecutor = new AgentExecutor({\n",
-    "  agent,\n",
-    "  tools: toolsForAgent,\n",
-    "});\n",
-    "const agentResult = await agentExecutor.invoke({\n",
-    "  input: \"What is Anthropic's estimated revenue for 2024?\",\n",
-    "});\n",
-    "\n",
-    "console.log(agentResult);"
+    "for await (const event of events) {\n",
+    "  const lastMsg = event.messages[event.messages.length - 1];\n",
+    "  if (lastMsg.tool_calls?.length) {\n",
+    "    console.dir(lastMsg.tool_calls, { depth: null });\n",
+    "  } else if (lastMsg.content) {\n",
+    "    console.log(lastMsg.content);\n",
+    "  }\n",
+    "}"
    ]
   },
   {