Successfully implemented function calling for anyscale

notebooks/tasks.ipynb

@@ -0,0 +1,137 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from hellocomputer.config import settings\n",
+    "from langchain_core.utils.function_calling import convert_to_openai_function\n",
+    "import openai\n",
+    "from operator import itemgetter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_core.tools import tool\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def add(a: int, b: int) -> int:\n",
+    "    \"\"\"Adds a and b.\"\"\"\n",
+    "    return a + b\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def multiply(a: int, b: int) -> int:\n",
+    "    \"\"\"Multiplies a and b.\"\"\"\n",
+    "    return a * b\n",
+    "\n",
+    "\n",
+    "tools = [convert_to_openai_function(t) for t in [add, multiply]]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tools_fmt = [\n",
+    "    {\"type\": \"function\",\n",
+    "     \"function\": tools[0]},\n",
+    "    {\"type\": \"function\",\n",
+    "     \"function\": tools[1]}\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": \"You are helpful assistant.\"},\n",
+    "    {\"role\": \"user\", \"content\": \"What is 2 + 2?\"},\n",
+    "]\n",
+    "\n",
+    "client = openai.OpenAI(\n",
+    "    base_url = \"https://api.endpoints.anyscale.com/v1\",\n",
+    "    api_key = settings.anyscale_api_key\n",
+    ")\n",
+    "\n",
+    "response = client.chat.completions.create(\n",
+    "    model=\"mistralai/Mixtral-8x7B-Instruct-v0.1\",\n",
+    "    messages=messages,\n",
+    "    tools=tools_fmt,\n",
+    "    tool_choice=\"auto\",  # auto is default, but we'll be explicit\n",
+    ")\n",
+    "\n",
+    "get_args = itemgetter(\"arguments\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "call = response.choices[0].message.tool_calls[0].function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "add.func(2,3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

requirements.in

@@ -13,4 +13,5 @@ pyjwt[crypto]
 python-multipart
 authlib
 itsdangerous
-sqlalchemy
+sqlalchemy
+openai