{ "cells": [ { "cell_type": "markdown", "id": "3631f2b9-aa79-472e-a9d6-9125a90ee704", "metadata": {}, "source": [ "# How to configure multiple streaming modes at the same time" ] }, { "cell_type": "markdown", "id": "858c7499-0c92-40a9-bd95-e5a5a5817e92", "metadata": {}, "source": [ "This guide covers how to configure multiple streaming modes at the same time." ] }, { "cell_type": "markdown", "id": "7c2f84f1-0751-4779-97d4-5cbb286093b7", "metadata": {}, "source": [ "## Setup\n", "\n", "First, let's install the required packages and set our API keys" ] }, { "cell_type": "code", "execution_count": 1, "id": "6b4285e4-7434-4971-bde0-aabceef8ee7e", "metadata": {}, "outputs": [], "source": [ "%%capture --no-stderr\n", "%pip install -U langgraph langchain-openai langchain-community" ] }, { "cell_type": "code", "execution_count": null, "id": "f7f9f24a-e3d0-422b-8924-47950b2facd6", "metadata": {}, "outputs": [], "source": [ "import getpass\n", "import os\n", "\n", "\n", "def _set_env(var: str):\n", " if not os.environ.get(var):\n", " os.environ[var] = getpass.getpass(f\"{var}: \")\n", "\n", "\n", "_set_env(\"OPENAI_API_KEY\")" ] }, { "cell_type": "markdown", "id": "4e48aa9e", "metadata": {}, "source": [ "
\n", "

Set up LangSmith for LangGraph development

\n", "

\n", " Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started here. \n", "

\n", "
" ] }, { "cell_type": "markdown", "id": "cc82c21f", "metadata": {}, "source": [ "## Define the graph\n", "\n", "We'll be using a simple ReAct agent for this guide." ] }, { "cell_type": "code", "execution_count": 3, "id": "85cf2e23-29f2-40cc-b302-5377b3b49da9", "metadata": {}, "outputs": [], "source": [ "from typing import Literal\n", "from langchain_community.tools.tavily_search import TavilySearchResults\n", "from langchain_core.runnables import ConfigurableField\n", "from langchain_core.tools import tool\n", "from langchain_openai import ChatOpenAI\n", "from langgraph.prebuilt import create_react_agent\n", "\n", "\n", "@tool\n", "def get_weather(city: Literal[\"nyc\", \"sf\"]):\n", " \"\"\"Use this to get weather information.\"\"\"\n", " if city == \"nyc\":\n", " return \"It might be cloudy in nyc\"\n", " elif city == \"sf\":\n", " return \"It's always sunny in sf\"\n", " else:\n", " raise AssertionError(\"Unknown city\")\n", "\n", "\n", "tools = [get_weather]\n", "\n", "model = ChatOpenAI(model_name=\"gpt-4o\", temperature=0)\n", "graph = create_react_agent(model, tools)" ] }, { "cell_type": "markdown", "id": "48a7751c-3f06-452b-89f4-70267e4dd305", "metadata": {}, "source": [ "## Stream multiple" ] }, { "cell_type": "code", "execution_count": 4, "id": "e9e9ffb0-2cd5-466f-b70b-b6ed51b852d1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Receiving new event of type: debug...\n", "{'type': 'task', 'timestamp': '2024-06-25T16:12:29.144117+00:00', 'step': 1, 'payload': {'id': '8399d8fd-4b28-515a-b0e9-1679557c0953', 'name': 'agent', 'input': {'messages': [HumanMessage(content=\"what's the weather in sf\", id='44ff9154-9485-49c9-b679-791314cc19e3')], 'is_last_step': False}, 'triggers': ['start:agent']}}\n", "\n", "\n", "\n", "Receiving new event of type: updates...\n", "{'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_gZEyPpcgwnzsnee1HH4geKmB', 'function': {'arguments': '{\"city\":\"sf\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 14, 'prompt_tokens': 57, 'total_tokens': 71}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_3e7d703517', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-37ca191f-f68f-4a70-8924-a40f90c8c0ed-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_gZEyPpcgwnzsnee1HH4geKmB'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71})]}}\n", "\n", "\n", "\n", "Receiving new event of type: debug...\n", "{'type': 'task_result', 'timestamp': '2024-06-25T16:12:29.802322+00:00', 'step': 1, 'payload': {'id': '8399d8fd-4b28-515a-b0e9-1679557c0953', 'name': 'agent', 'result': [('messages', [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_gZEyPpcgwnzsnee1HH4geKmB', 'function': {'arguments': '{\"city\":\"sf\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 14, 'prompt_tokens': 57, 'total_tokens': 71}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_3e7d703517', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-37ca191f-f68f-4a70-8924-a40f90c8c0ed-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_gZEyPpcgwnzsnee1HH4geKmB'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71})])]}}\n", "\n", "\n", "\n", "Receiving new event of type: debug...\n", "{'type': 'task', 'timestamp': '2024-06-25T16:12:29.802738+00:00', 'step': 2, 'payload': {'id': 'f22971bf-6eff-55a2-84ab-fb97f629b133', 'name': 'tools', 'input': {'messages': [HumanMessage(content=\"what's the weather in sf\", id='44ff9154-9485-49c9-b679-791314cc19e3'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_gZEyPpcgwnzsnee1HH4geKmB', 'function': {'arguments': '{\"city\":\"sf\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 14, 'prompt_tokens': 57, 'total_tokens': 71}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_3e7d703517', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-37ca191f-f68f-4a70-8924-a40f90c8c0ed-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_gZEyPpcgwnzsnee1HH4geKmB'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71})], 'is_last_step': False}, 'triggers': ['branch:agent:should_continue:tools']}}\n", "\n", "\n", "\n", "Receiving new event of type: updates...\n", "{'tools': {'messages': [ToolMessage(content=\"It's always sunny in sf\", name='get_weather', tool_call_id='call_gZEyPpcgwnzsnee1HH4geKmB')]}}\n", "\n", "\n", "\n", "Receiving new event of type: debug...\n", "{'type': 'task_result', 'timestamp': '2024-06-25T16:12:29.806676+00:00', 'step': 2, 'payload': {'id': 'f22971bf-6eff-55a2-84ab-fb97f629b133', 'name': 'tools', 'result': [('messages', [ToolMessage(content=\"It's always sunny in sf\", name='get_weather', tool_call_id='call_gZEyPpcgwnzsnee1HH4geKmB')])]}}\n", "\n", "\n", "\n", "Receiving new event of type: debug...\n", "{'type': 'task', 'timestamp': '2024-06-25T16:12:29.807014+00:00', 'step': 3, 'payload': {'id': '3e1a91b9-b94c-56a7-ace5-6fd8ee73fe8d', 'name': 'agent', 'input': {'messages': [HumanMessage(content=\"what's the weather in sf\", id='44ff9154-9485-49c9-b679-791314cc19e3'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_gZEyPpcgwnzsnee1HH4geKmB', 'function': {'arguments': '{\"city\":\"sf\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 14, 'prompt_tokens': 57, 'total_tokens': 71}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_3e7d703517', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-37ca191f-f68f-4a70-8924-a40f90c8c0ed-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_gZEyPpcgwnzsnee1HH4geKmB'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71}), ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='afc3ceaa-6663-4f7a-b874-e77e5515b175', tool_call_id='call_gZEyPpcgwnzsnee1HH4geKmB')], 'is_last_step': False}, 'triggers': ['tools']}}\n", "\n", "\n", "\n", "Receiving new event of type: updates...\n", "{'agent': {'messages': [AIMessage(content='The weather in San Francisco is currently sunny.', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 84, 'total_tokens': 94}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_3e7d703517', 'finish_reason': 'stop', 'logprobs': None}, id='run-575efeca-fdeb-4b4f-80f8-08ff177c34a5-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}}\n", "\n", "\n", "\n", "Receiving new event of type: debug...\n", "{'type': 'task_result', 'timestamp': '2024-06-25T16:12:30.355658+00:00', 'step': 3, 'payload': {'id': '3e1a91b9-b94c-56a7-ace5-6fd8ee73fe8d', 'name': 'agent', 'result': [('messages', [AIMessage(content='The weather in San Francisco is currently sunny.', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 84, 'total_tokens': 94}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_3e7d703517', 'finish_reason': 'stop', 'logprobs': None}, id='run-575efeca-fdeb-4b4f-80f8-08ff177c34a5-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})])]}}\n", "\n", "\n", "\n" ] } ], "source": [ "inputs = {\"messages\": [(\"human\", \"what's the weather in sf\")]}\n", "async for event, chunk in graph.astream(inputs, stream_mode=[\"updates\", \"debug\"]):\n", " print(f\"Receiving new event of type: {event}...\")\n", " print(chunk)\n", " print(\"\\n\\n\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "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 }