Harrison/notebook functions (#6103)

docs/modules/agents/tools.rst

@@ -25,6 +25,15 @@ Next, we have some examples of customizing and generically working with tools
    ./tools/custom_tools.ipynb
    ./tools/multi_input_tool.ipynb
    ./tools/tool_input_validation.ipynb
+   ./tools/human_approval.ipynb
+
+Tools are also usable outside of the LangChain ecosystem! Here are examples of doing so
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+
+   ./tools/tools_as_openai_functions.ipynb
 
 
 In this documentation we cover generic tooling functionality (eg how to create your own)

docs/modules/agents/tools/tools_as_openai_functions.ipynb

@@ -0,0 +1,138 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4111c9d4",
+   "metadata": {},
+   "source": [
+    "# Tools as OpenAI Functions\n",
+    "\n",
+    "This notebook goes over how to use LangChain tools as OpenAI functions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d65d8a60",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain.schema import HumanMessage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "abd8dc72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = ChatOpenAI(model=\"gpt-3.5-turbo-0613\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "dce2cdb7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.tools import MoveFileTool, format_tool_to_openai_function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3b3dc766",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tools = [MoveFileTool()]\n",
+    "functions = [format_tool_to_openai_function(t) for t in tools]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "230a7939",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "message = model.predict_messages([HumanMessage(content='move file foo to bar')], functions=functions)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c118c940",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'move_file', 'arguments': '{\\n  \"source_path\": \"foo\",\\n  \"destination_path\": \"bar\"\\n}'}}, example=False)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "message"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "d618e3d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'name': 'move_file',\n",
+       " 'arguments': '{\\n  \"source_path\": \"foo\",\\n  \"destination_path\": \"bar\"\\n}'}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "message.additional_kwargs['function_call']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "751da79f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}