Basic_function_calling.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "import openai  # works only for openai python package > 1.0.0 \n",
    "import time \n",
    "\n",
    "from dotenv import load_dotenv; load_dotenv()\n",
    "import os\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = [\n",
    "    {\n",
    "        \"type\": \"function\",\n",
    "        \"function\": {\n",
    "            \"name\": \"get_current_weather\",\n",
    "            \"description\": \"Get the current weather\",\n",
    "            \"parameters\": {\n",
    "                \"type\": \"object\",\n",
    "                \"properties\": {\n",
    "                    \"location\": {\n",
    "                        \"type\": \"string\",\n",
    "                        \"description\": \"The city and state, e.g. San Francisco, CA\",\n",
    "                    },\n",
    "                    \"format\": {\n",
    "                        \"type\": \"string\",\n",
    "                        \"enum\": [\"celsius\", \"fahrenheit\"],\n",
    "                        \"description\": \"The temperature unit to use. Infer this from the users location.\",\n",
    "                    },\n",
    "                },\n",
    "                \"required\": [\"location\", \"format\"],\n",
    "            },\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"type\": \"function\",\n",
    "        \"function\": {\n",
    "            \"name\": \"get_n_day_weather_forecast\",\n",
    "            \"description\": \"Get an N-day weather forecast\",\n",
    "            \"parameters\": {\n",
    "                \"type\": \"object\",\n",
    "                \"properties\": {\n",
    "                    \"location\": {\n",
    "                        \"type\": \"string\",\n",
    "                        \"description\": \"The city and state, e.g. San Francisco, CA\",\n",
    "                    },\n",
    "                    \"format\": {\n",
    "                        \"type\": \"string\",\n",
    "                        \"enum\": [\"celsius\", \"fahrenheit\"],\n",
    "                        \"description\": \"The temperature unit to use. Infer this from the users location.\",\n",
    "                    },\n",
    "                    \"num_days\": {\n",
    "                        \"type\": \"integer\",\n",
    "                        \"description\": \"The number of days to forecast\",\n",
    "                    }\n",
    "                },\n",
    "                \"required\": [\"location\", \"format\", \"num_days\"]\n",
    "            },\n",
    "        }\n",
    "    }\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create OpenAI client.\n",
    "\n",
    "client = openai.OpenAI(\n",
    "    base_url = os.environ[\"ANYSCALE_API_BASE\"],\n",
    "    api_key = os.environ[\"ANYSCALE_API_KEY\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Try following message and look at response..\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": f\"You are a helpful assistant. Don't make assumptions about what values to plug into functions. Ask for clarification if a user request is ambiguous.\"},\n",
    "    {\"role\": \"user\", \"content\": \"How is the weather in Hawaii right now in American units?\"}\n",
    "]\n",
    "\n",
    "chat_completion = client.chat.completions.create(\n",
    "    model=\"mistralai/Mistral-7B-Instruct-v0.1\",\n",
    "    messages=messages,\n",
    "    tools=tools,\n",
    "    tool_choice=\"auto\",\n",
    "    temperature=0.7\n",
    ")\n",
    "\n",
    "#print(repr(chat_completion.choices[0].message.model_dump()))\n",
    "print(repr(chat_completion.choices[0].message.model_dump()['tool_calls']))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Try following message and look at response..this should make LLM tell you to use a different function.\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": f\"You are a helpful assistant. Don't make assumptions about what values to plug into functions. Ask for clarification if a user request is ambiguous.\"},\n",
    "    {\"role\": \"user\", \"content\": \"Could you tell me what the weather is in Kadapa for next 10000000 days?\"}\n",
    "]\n",
    "\n",
    "chat_completion = client.chat.completions.create(\n",
    "    model=\"mistralai/Mistral-7B-Instruct-v0.1\",\n",
    "    messages=messages,\n",
    "    tools=tools,\n",
    "    tool_choice=\"auto\",\n",
    "    temperature=0.7\n",
    ")\n",
    "\n",
    "#print(repr(chat_completion.choices[0].message.model_dump()))\n",
    "print(repr(chat_completion.choices[0].message.model_dump()['tool_calls']))"
   ]
  }
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