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docs: update tool calling how-to to pass functions to bind_tools (#24402)

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ccurme 2024-07-18 11:53:48 -04:00 committed by GitHub
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docs/docs/how_to/tool_calling.ipynb
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@ -82,30 +82,24 @@
"## Passing tools to chat models\n", "## Passing tools to chat models\n",
"\n", "\n",
"Chat models that support tool calling features implement a `.bind_tools` method, which \n", "Chat models that support tool calling features implement a `.bind_tools` method, which \n",
"receives a list of LangChain [tool objects](https://api.python.langchain.com/en/latest/tools/langchain_core.tools.BaseTool.html#langchain_core.tools.BaseTool) \n", "receives a list of functions, Pydantic models, or LangChain [tool objects](https://api.python.langchain.com/en/latest/tools/langchain_core.tools.BaseTool.html#langchain_core.tools.BaseTool) \n",
"and binds them to the chat model in its expected format. Subsequent invocations of the \n", "and binds them to the chat model in its expected format. Subsequent invocations of the \n",
"chat model will include tool schemas in its calls to the LLM.\n", "chat model will include tool schemas in its calls to the LLM.\n",
"\n", "\n",
"For example, we can define the schema for custom tools using the `@tool` decorator \n", "For example, below we implement simple tools for arithmetic:"
"on Python functions:"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"from langchain_core.tools import tool\n",
"\n",
"\n",
"@tool\n",
"def add(a: int, b: int) -> int:\n", "def add(a: int, b: int) -> int:\n",
" \"\"\"Adds a and b.\"\"\"\n", " \"\"\"Adds a and b.\"\"\"\n",
" return a + b\n", " return a + b\n",
"\n", "\n",
"\n", "\n",
"@tool\n",
"def multiply(a: int, b: int) -> int:\n", "def multiply(a: int, b: int) -> int:\n",
" \"\"\"Multiplies a and b.\"\"\"\n", " \"\"\"Multiplies a and b.\"\"\"\n",
" return a * b\n", " return a * b\n",
@ -118,12 +112,14 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Or below, we define the schema using [Pydantic](https://docs.pydantic.dev):" "LangChain also implements a `@tool` decorator that allows for further control of the tool schema, such as tool names and argument descriptions. See the how-to guide [here](/docs/how_to/custom_tools/#creating-tools-from-functions) for detail.\n",
"\n",
"We can also define the schema using [Pydantic](https://docs.pydantic.dev):"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 1,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -343,7 +339,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.9" "version": "3.10.4"
} }
}, },
"nbformat": 4, "nbformat": 4,