{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function Calling\n",
    "\n",
    "This notebook provides a quick-start guide to use function tooling using  SGLang chat completions API\n",
    "\n",
    "## Supported Models\n",
    "\n",
    "Currently, we added the support for tools calling in the following models:\n",
    "  - Llama 3.2 models\n",
    "  - Llama 3.1 models\n",
    "  - Qwen 2.5 models\n",
    "  - InternLM Models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Usage\n",
    "\n",
    "### Launch a server\n",
    "\n",
    "This code block is equivalent to executing\n",
    "\n",
    "`python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct \\\n",
    "--port 30000 --host 0.0.0.0`\n",
    "in your terminal and wait for the server to be ready. Once the server is running, you can send test requests using curl or requests. The server implements the OpenAI-compatible APIs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sglang.utils import (\n",
    "    execute_shell_command,\n",
    "    wait_for_server,\n",
    "    terminate_process,\n",
    "    print_highlight,\n",
    ")\n",
    "\n",
    "\n",
    "server_process = execute_shell_command(\n",
    "    \"\"\"\n",
    " python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --port 30000 --host 0.0.0.0\n",
    "\"\"\"\n",
    ")\n",
    "\n",
    "wait_for_server(\"http://localhost:30000\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Single Round Invocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from openai import OpenAI\n",
    "\n",
    "tools = [\n",
    "    {\n",
    "        \"type\": \"function\",\n",
    "        \"function\": {\n",
    "            \"name\": \"get_current_weather\",\n",
    "            \"description\": \"Get the current weather in a given location\",\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",
    "                    \"unit\": {\"type\": \"string\", \"enum\": [\"celsius\", \"fahrenheit\"]},\n",
    "                },\n",
    "                \"required\": [\"location\"],\n",
    "            },\n",
    "        },\n",
    "    }\n",
    "]\n",
    "messages = [{\"role\": \"user\", \"content\": \"What's the weather like in Boston today?\"}]\n",
    "\n",
    "client = OpenAI(api_key=\"YOUR_API_KEY\", base_url=\"http://0.0.0.0:30000/v1\")\n",
    "model_name = client.models.list().data[0].id\n",
    "response = client.chat.completions.create(\n",
    "    model=model_name,\n",
    "    messages=messages,\n",
    "    temperature=0.8,\n",
    "    top_p=0.8,\n",
    "    stream=False,\n",
    "    tools=tools,\n",
    ")\n",
    "\n",
    "print(response)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "ChatCompletion(id='d6f620e1767e490d85b5ce45c15151cf', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, \n",
    "role='assistant', audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='0', function=Function(arguments='{\"a\": \"3\", \"b\": \"5\"}', name='add'), type='function')]), \n",
    "matched_stop=128008)], created=1735411703, model='meta-llama/Llama-3.2-1B-Instruct', object='chat.completion', service_tier=None, system_fingerprint=None, \n",
    "usage=CompletionUsage(completion_tokens=23, prompt_tokens=198, total_tokens=221, completion_tokens_details=None, prompt_tokens_details=None))\n",
    "\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "terminate_process(server_process)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to support a new model?\n",
    "\n",
    "For adding support of more different models:\n",
    " 1. Update the `TOOLS_TAG_LIST` in `sglang/srt/utils.py` with the tool tag used by the model.\n",
    " 2. Add support in `parse_tool_response` function for converting into tool calls `sglang/srt/utils.py`\n"
   ]
  }
 ],
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