File size: 7,532 Bytes
a80f6e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 | {
"cells": [
{
"cell_type": "raw",
"id": "10238e62-3465-4973-9279-606cbb7ccf16",
"metadata": {},
"source": [
"---\n",
"sidebar_label: __ModuleName__\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "a6f91f20",
"metadata": {},
"source": [
"# __ModuleName__\n",
"\n",
"- TODO: Make sure API reference link is correct.\n",
"\n",
"This notebook provides a quick overview for getting started with __ModuleName__ [tool](/docs/integrations/tools/). For detailed documentation of all __ModuleName__ features and configurations head to the [API reference](https://python.langchain.com/v0.2/api_reference/community/tools/langchain_community.tools.__module_name__.tool.__ModuleName__.html).\n",
"\n",
"- TODO: Add any other relevant links, like information about underlying API, etc.\n",
"\n",
"## Overview\n",
"\n",
"### Integration details\n",
"\n",
"- TODO: Make sure links and features are correct\n",
"\n",
"| Class | Package | Serializable | [JS support](https://js.langchain.com/docs/integrations/tools/__module_name__) | Package latest |\n",
"| :--- | :--- | :---: | :---: | :---: |\n",
"| [__ModuleName__](https://python.langchain.com/v0.2/api_reference/community/tools/langchain_community.tools.__module_name__.tool.__ModuleName__.html) | [langchain-community](https://api.python.langchain.com/en/latest/community_api_reference.html) | beta/❌ | ✅/❌ |  |\n",
"\n",
"### Tool features\n",
"\n",
"- TODO: Add feature table if it makes sense\n",
"\n",
"\n",
"## Setup\n",
"\n",
"- TODO: Add any additional deps\n",
"\n",
"The integration lives in the `langchain-community` package."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f85b4089",
"metadata": {},
"outputs": [],
"source": [
"%pip install --quiet -U langchain-community"
]
},
{
"cell_type": "markdown",
"id": "b15e9266",
"metadata": {},
"source": [
"### Credentials\n",
"\n",
"- TODO: Add any credentials that are needed"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e0b178a2-8816-40ca-b57c-ccdd86dde9c9",
"metadata": {},
"outputs": [],
"source": [
"import getpass\n",
"import os\n",
"\n",
"# if not os.environ.get(\"__MODULE_NAME___API_KEY\"):\n",
"# os.environ[\"__MODULE_NAME___API_KEY\"] = getpass.getpass(\"__MODULE_NAME__ API key:\\n\")"
]
},
{
"cell_type": "markdown",
"id": "bc5ab717-fd27-4c59-b912-bdd099541478",
"metadata": {},
"source": [
"It's also helpful (but not needed) to set up [LangSmith](https://smith.langchain.com/) for best-in-class observability:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a6c2f136-6367-4f1f-825d-ae741e1bf281",
"metadata": {},
"outputs": [],
"source": [
"# os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
"# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass()"
]
},
{
"cell_type": "markdown",
"id": "1c97218f-f366-479d-8bf7-fe9f2f6df73f",
"metadata": {},
"source": [
"## Instantiation\n",
"\n",
"- TODO: Fill in instantiation params\n",
"\n",
"Here we show how to instantiate an instance of the __ModuleName__ tool, with "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8b3ddfe9-ca79-494c-a7ab-1f56d9407a64",
"metadata": {},
"outputs": [],
"source": [
"from langchain_community.tools import __ModuleName__\n",
"\n",
"\n",
"tool = __ModuleName__(\n",
" ...\n",
")"
]
},
{
"cell_type": "markdown",
"id": "74147a1a",
"metadata": {},
"source": [
"## Invocation\n",
"\n",
"### [Invoke directly with args](/docs/concepts/tools/#use-the-tool-directly)\n",
"\n",
"- TODO: Describe what the tool args are, fill them in, run cell"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "65310a8b-eb0c-4d9e-a618-4f4abe2414fc",
"metadata": {},
"outputs": [],
"source": [
"tool.invoke({...})"
]
},
{
"cell_type": "markdown",
"id": "d6e73897",
"metadata": {},
"source": [
"### [Invoke with ToolCall](/docs/concepts/tool_calling/#tool-execution)\n",
"\n",
"We can also invoke the tool with a model-generated ToolCall, in which case a ToolMessage will be returned:\n",
"\n",
"- TODO: Fill in tool args and run cell"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f90e33a7",
"metadata": {},
"outputs": [],
"source": [
"# This is usually generated by a model, but we'll create a tool call directly for demo purposes.\n",
"model_generated_tool_call = {\n",
" \"args\": {...}, # TODO: FILL IN\n",
" \"id\": \"1\",\n",
" \"name\": tool.name,\n",
" \"type\": \"tool_call\",\n",
"}\n",
"tool.invoke(model_generated_tool_call)"
]
},
{
"cell_type": "markdown",
"id": "659f9fbd-6fcf-445f-aa8c-72d8e60154bd",
"metadata": {},
"source": [
"## Use within an agent\n",
"\n",
"- TODO: Add user question and run cells\n",
"\n",
"We can use our tool in an [agent](/docs/concepts/agents/). For this we will need a LLM with [tool-calling](/docs/how_to/tool_calling/) capabilities:\n",
"\n",
"import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
"\n",
"<ChatModelTabs customVarName=\"llm\" />\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "af3123ad-7a02-40e5-b58e-7d56e23e5830",
"metadata": {},
"outputs": [],
"source": [
"# | output: false\n",
"# | echo: false\n",
"\n",
"# !pip install -qU langchain langchain-openai\n",
"from langchain.chat_models import init_chat_model\n",
"\n",
"llm = init_chat_model(model=\"gpt-4o\", model_provider=\"openai\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bea35fa1",
"metadata": {},
"outputs": [],
"source": [
"from langgraph.prebuilt import create_react_agent\n",
"\n",
"tools = [tool]\n",
"agent = create_react_agent(llm, tools)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fdbf35b5-3aaf-4947-9ec6-48c21533fb95",
"metadata": {},
"outputs": [],
"source": [
"example_query = \"...\"\n",
"\n",
"events = agent.stream(\n",
" {\"messages\": [(\"user\", example_query)]},\n",
" stream_mode=\"values\",\n",
")\n",
"for event in events:\n",
" event[\"messages\"][-1].pretty_print()"
]
},
{
"cell_type": "markdown",
"id": "4ac8146c",
"metadata": {},
"source": [
"## API reference\n",
"\n",
"For detailed documentation of all __ModuleName__ features and configurations head to the API reference: https://python.langchain.com/v0.2/api_reference/community/tools/langchain_community.tools.__module_name__.tool.__ModuleName__.html"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "poetry-venv-311",
"language": "python",
"name": "poetry-venv-311"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|