Testing OpenAI parallel_tool_calls

testing-openai-parallel_tool_calls.ipynb

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      "cell_type": "markdown",
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      "source": [
        "<a href=\"https://colab.research.google.com/gist/siddicky/8ea8e70a04d00e80f27311fe6173ce14/testing-openai-parallel_tool_calls.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "execution_count": 92,
      "metadata": {
        "id": "hsmw7wpdSaZ1"
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      "source": [
        "%%capture --no-stderr\n",
        "%pip install -U langgraph langchain-openai\n",
        "from google.colab import userdata\n",
        "from langchain_openai import ChatOpenAI\n",
        "from langchain_core.pydantic_v1 import BaseModel, Field\n",
        "from langchain_core.prompts import ChatPromptTemplate\n",
        "\n",
        "OPENAI_API_KEY = userdata.get('OPENAI_API_KEY')\n",
        "%env OPENAI_API_KEY = $OPENAI_API_KEY"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "class Extractor(BaseModel):\n",
        "  \"\"\"Url extractor tool from text\"\"\"\n",
        "  url: str = Field(..., description='The URL to extract')\n",
        "\n",
        "\n",
        "model = ChatOpenAI(model='gpt-4o-mini', temperature=0).bind_tools(tools=[Extractor], parallel_tool_calls=False)\n",
        "\n",
        "prompt = ChatPromptTemplate.from_messages(\n",
        "    [\n",
        "        (\"system\", \"You are extraction expert. Retrieve relevant information\"),\n",
        "        (\"human\", \"{input}\"),\n",
        "    ]\n",
        ")\n",
        "\n",
        "chain = prompt | model"
      ],
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      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "res = chain.invoke({'input': 'Here is the link for example showing paralell tool calls parameter https://github.com/langchain-ai/langchain/blob/master/libs/partners/openai/langchain_openai/chat_models/base.py'})"
      ],
      "metadata": {
        "id": "u3ahek9GUZ_q"
      },
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(res.tool_calls[0].get('args')['url'])"
      ],
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          "base_uri": "https://localhost:8080/"
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        "outputId": "798d9793-ebf7-4691-9c5a-ed3559b62c42"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "https://github.com/langchain-ai/langchain/blob/master/libs/partners/openai/langchain_openai/chat_models/base.py\n"
          ]
        }
      ]
    }
  ]
}