mirror of
https://github.com/langchain-ai/langgraph.git
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docs: update cassettes & notebook runner processing (#4667)
This commit is contained in:
Vadym Barda
@@ -5,6 +5,7 @@ import os
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import json
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import click
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import nbformat
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import re
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logger = logging.getLogger(__name__)
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NOTEBOOK_DIRS = ("docs/how-tos","docs/tutorials")
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@@ -88,12 +89,10 @@ def has_blocklisted_command(code: str, metadata: dict) -> bool:
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return True
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return False
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MERMAID_PATTERN = re.compile(r'display\(Image\((\w+)\.get_graph\(\)\.draw_mermaid_png\(\)\)\)')
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def remove_mermaid(code: str) -> str:
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return code.replace(
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"display(Image(graph.get_graph().draw_mermaid_png()))",
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# replace with a dummy statement
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"print()"
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)
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return MERMAID_PATTERN.sub('print()', code)
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def add_vcr_to_notebook(
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@@ -108,6 +107,8 @@ def add_vcr_to_notebook(
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continue
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lines = cell.source.splitlines()
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# remove the special tag for hidden cells
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lines = [line for line in lines if not line.strip().startswith("# hide-cell")]
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# skip if empty cell
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if not lines:
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continue
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@@ -195,6 +196,11 @@ def remove_mermaid_from_notebook(notebook: nbformat.NotebookNode) -> nbformat.No
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continue
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cell.source = remove_mermaid(cell.source)
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# skip the cell entirely if it contains PYPPETEER
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if "PYPPETEER" in cell.source:
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cell.source = ""
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return notebook
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|
||||
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
|
||||
@@ -0,0 +1 @@
|
||||
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
|
||||
@@ -3219,13 +3219,7 @@
|
||||
"from IPython.display import Image, display\n",
|
||||
"from langchain_core.runnables.graph import CurveStyle, MermaidDrawMethod, NodeStyles\n",
|
||||
"\n",
|
||||
"display(\n",
|
||||
" Image(\n",
|
||||
" app.get_graph().draw_mermaid_png(\n",
|
||||
" draw_method=MermaidDrawMethod.API,\n",
|
||||
" )\n",
|
||||
" )\n",
|
||||
")"
|
||||
"display(Image(app.get_graph().draw_mermaid_png()))"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -23,38 +23,6 @@
|
||||
"This allows the agent to keep track of the conversation without exceeding the LLM's context window."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "af4ce0ba-7596-4e5f-8bf8-0b0bd6e62833",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# hide-cell\n",
|
||||
"%%capture --no-stderr\n",
|
||||
"%pip install --quiet -U langgraph \"langchain[anthropic]\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c903a1cf-2977-4e2d-ad7d-8b3946821d89",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# hide-cell\n",
|
||||
"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(\"ANTHROPIC_API_KEY\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "db38b03c-5609-49e3-9b93-bad0aab47ffb",
|
||||
@@ -425,9 +393,9 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "langgraph",
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "langgraph"
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@@ -439,7 +407,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@@ -635,9 +635,9 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "langgraph",
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "langgraph"
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@@ -649,7 +649,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@@ -31,7 +31,6 @@
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# hide-cell\n",
|
||||
"%%capture --no-stderr\n",
|
||||
"%pip install --quiet -U langgraph \"langchain[anthropic]\""
|
||||
]
|
||||
},
|
||||
@@ -1604,9 +1603,9 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "langgraph",
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "langgraph"
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@@ -1618,7 +1617,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@@ -1,604 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# How to use Postgres checkpointer for persistence\n",
|
||||
"\n",
|
||||
"<div class=\"admonition tip\">\n",
|
||||
" <p class=\"admonition-title\">Prerequisites</p>\n",
|
||||
" <p>\n",
|
||||
" This guide assumes familiarity with the following:\n",
|
||||
" <ul>\n",
|
||||
" <li>\n",
|
||||
" <a href=\"https://langchain-ai.github.io/langgraph/concepts/persistence/\">\n",
|
||||
" Persistence\n",
|
||||
" </a>\n",
|
||||
" </li> \n",
|
||||
" <li>\n",
|
||||
" <a href=\"https://www.postgresql.org/about/\">\n",
|
||||
" Postgresql\n",
|
||||
" </a>\n",
|
||||
" </li> \n",
|
||||
" </ul>\n",
|
||||
" </p>\n",
|
||||
"</div> \n",
|
||||
"\n",
|
||||
"!!! info \"Not needed for LangGraph API users\"\n",
|
||||
"\n",
|
||||
" If you're using the LangGraph API, you needn't manually implement a checkpointer. The API automatically handles checkpointing for you. This guide is relevant when implementing LangGraph in your own custom server.\n",
|
||||
"\n",
|
||||
"When creating LangGraph agents, you can also set them up so that they persist their state. This allows you to do things like interact with an agent multiple times and have it remember previous interactions.\n",
|
||||
"\n",
|
||||
"This how-to guide shows how to use `Postgres` as the backend for persisting checkpoint state using the [`langgraph-checkpoint-postgres`](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres) library.\n",
|
||||
"\n",
|
||||
"For demonstration purposes we add persistence to the [pre-built create react agent](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent). \n",
|
||||
"\n",
|
||||
"In general, you can add a checkpointer to any custom graph that you build like this:\n",
|
||||
"\n",
|
||||
"```python\n",
|
||||
"from langgraph.graph import StateGraph\n",
|
||||
"\n",
|
||||
"builder = StateGraph(....)\n",
|
||||
"# ... define the graph\n",
|
||||
"checkpointer = # postgres checkpointer (see examples below)\n",
|
||||
"graph = builder.compile(checkpointer=checkpointer)\n",
|
||||
"...\n",
|
||||
"```\n",
|
||||
"\n",
|
||||
"!!! info \"Setup\"\n",
|
||||
"\n",
|
||||
" You need to run `.setup()` once on your checkpointer to initialize the database before you can use it."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "456fa19c-93a5-4750-a410-f2d810b964ad",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
"You will need access to a postgres instance. There are many resources online that can help\n",
|
||||
"you set up a postgres instance.\n",
|
||||
"\n",
|
||||
"Next, let's install the required packages and set our API keys"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "faadfb1b-cebe-4dcf-82fd-34044c380bc4",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%%capture --no-stderr\n",
|
||||
"%pip install -U psycopg psycopg-pool langgraph langgraph-checkpoint-postgres"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "eca9aafb-a155-407a-8036-682a2f1297d7",
|
||||
"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": "b394e26c",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<div class=\"admonition tip\">\n",
|
||||
" <p class=\"admonition-title\">Set up <a href=\"https://smith.langchain.com\">LangSmith</a> for LangGraph development</p>\n",
|
||||
" <p style=\"padding-top: 5px;\">\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 <a href=\"https://docs.smith.langchain.com\">here</a>. \n",
|
||||
" </p>\n",
|
||||
"</div>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e26b3204-cca2-414c-800e-7e09032445ae",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Define model and tools for the graph"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "e5213193-5a7d-43e7-aeba-fe732bb1cd7a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from typing import Literal\n",
|
||||
"\n",
|
||||
"from langchain_core.tools import tool\n",
|
||||
"from langchain_openai import ChatOpenAI\n",
|
||||
"from langgraph.prebuilt import create_react_agent\n",
|
||||
"from langgraph.checkpoint.postgres import PostgresSaver\n",
|
||||
"from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver\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",
|
||||
"model = ChatOpenAI(model_name=\"gpt-4o-mini\", temperature=0)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e9342c62-dbb4-40f6-9271-7393f1ca48c4",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Use sync connection\n",
|
||||
"\n",
|
||||
"This sets up a synchronous connection to the database. \n",
|
||||
"\n",
|
||||
"Synchronous connections execute operations in a blocking manner, meaning each operation waits for completion before moving to the next one. The `DB_URI` is the database connection URI, with the protocol used for connecting to a PostgreSQL database, authentication, and host where database is running. The connection_kwargs dictionary defines additional parameters for the database connection."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "2b9d13b1-9d72-48a0-b63a-adc062c06c29",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"DB_URI = \"postgresql://postgres:postgres@localhost:5442/postgres?sslmode=disable\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "3fe36f67-073a-4fd7-a8f8-da196dd46a0d",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"connection_kwargs = {\n",
|
||||
" \"autocommit\": True,\n",
|
||||
" \"prepare_threshold\": 0,\n",
|
||||
"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e39fc712-9e1c-4831-9077-dd07b0c13594",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### With a connection pool\n",
|
||||
"\n",
|
||||
"This manages a pool of reusable database connections: \n",
|
||||
"- Advantages: Efficient resource utilization, improved performance for frequent connections\n",
|
||||
"- Best for: Applications with many short-lived database operations\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "bd235fc7-1e5c-4db6-a90b-ea75462ccf7d",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from psycopg_pool import ConnectionPool\n",
|
||||
"\n",
|
||||
"with ConnectionPool(\n",
|
||||
" # Example configuration\n",
|
||||
" conninfo=DB_URI,\n",
|
||||
" max_size=20,\n",
|
||||
" kwargs=connection_kwargs,\n",
|
||||
") as pool:\n",
|
||||
" checkpointer = PostgresSaver(pool)\n",
|
||||
"\n",
|
||||
" # NOTE: you need to call .setup() the first time you're using your checkpointer\n",
|
||||
" checkpointer.setup()\n",
|
||||
"\n",
|
||||
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
|
||||
" config = {\"configurable\": {\"thread_id\": \"1\"}}\n",
|
||||
" res = graph.invoke({\"messages\": [(\"human\", \"what's the weather in sf\")]}, config)\n",
|
||||
" checkpoint = checkpointer.get(config)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "a7e0e7ec-a675-470b-9270-e4bdc59d4a4d",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'messages': [HumanMessage(content=\"what's the weather in sf\", id='735b7deb-b0fe-4ad5-8920-2a3c69bbe9f7'),\n",
|
||||
" AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_lJHMDYgfgRdiEAGfFsEhqqKV', '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-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-c56b3e04-08a9-4a59-b3f5-ee52d0ef0656-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_lJHMDYgfgRdiEAGfFsEhqqKV', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71}),\n",
|
||||
" ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='0644bf7b-4d1b-4ebe-afa1-d2169ccce582', tool_call_id='call_lJHMDYgfgRdiEAGfFsEhqqKV'),\n",
|
||||
" AIMessage(content='The weather in San Francisco is always sunny!', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 84, 'total_tokens': 94}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-1ed9b8d0-9b50-4b87-b3a2-9860f51e9fd1-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"res"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "96efd8b2-97c9-4207-83b2-00131723a75a",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'v': 1,\n",
|
||||
" 'id': '1ef559b7-3b19-6ce8-8003-18d0f60634be',\n",
|
||||
" 'ts': '2024-08-08T15:32:42.108605+00:00',\n",
|
||||
" 'current_tasks': {},\n",
|
||||
" 'pending_sends': [],\n",
|
||||
" 'versions_seen': {'agent': {'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8',\n",
|
||||
" 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'},\n",
|
||||
" 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'},\n",
|
||||
" '__input__': {},\n",
|
||||
" '__start__': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}},\n",
|
||||
" 'channel_versions': {'agent': '00000000000000000000000000000005.065d90dd7f7cd091f0233855210bb2af',\n",
|
||||
" 'tools': '00000000000000000000000000000005.',\n",
|
||||
" 'messages': '00000000000000000000000000000005.b9adc75836c78af94af1d6811340dd13',\n",
|
||||
" '__start__': '00000000000000000000000000000002.',\n",
|
||||
" 'start:agent': '00000000000000000000000000000003.',\n",
|
||||
" 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'},\n",
|
||||
" 'channel_values': {'agent': 'agent',\n",
|
||||
" 'messages': [HumanMessage(content=\"what's the weather in sf\", id='735b7deb-b0fe-4ad5-8920-2a3c69bbe9f7'),\n",
|
||||
" AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_lJHMDYgfgRdiEAGfFsEhqqKV', '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-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-c56b3e04-08a9-4a59-b3f5-ee52d0ef0656-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_lJHMDYgfgRdiEAGfFsEhqqKV', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71}),\n",
|
||||
" ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='0644bf7b-4d1b-4ebe-afa1-d2169ccce582', tool_call_id='call_lJHMDYgfgRdiEAGfFsEhqqKV'),\n",
|
||||
" AIMessage(content='The weather in San Francisco is always sunny!', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 84, 'total_tokens': 94}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-1ed9b8d0-9b50-4b87-b3a2-9860f51e9fd1-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}}"
|
||||
]
|
||||
},
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"checkpoint"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "967c95c7-e392-4819-bd71-f29e91c68df3",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### With a connection\n",
|
||||
"\n",
|
||||
"This creates a single, dedicated connection to the database:\n",
|
||||
"- Advantages: Simple to use, suitable for longer transactions\n",
|
||||
"- Best for: Applications with fewer, longer-lived database operations"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "180d6daf-8fa7-4608-bd2e-bfbf44ed5836",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from psycopg import Connection\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"with Connection.connect(DB_URI, **connection_kwargs) as conn:\n",
|
||||
" checkpointer = PostgresSaver(conn)\n",
|
||||
" # NOTE: you need to call .setup() the first time you're using your checkpointer\n",
|
||||
" # checkpointer.setup()\n",
|
||||
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
|
||||
" config = {\"configurable\": {\"thread_id\": \"2\"}}\n",
|
||||
" res = graph.invoke({\"messages\": [(\"human\", \"what's the weather in sf\")]}, config)\n",
|
||||
"\n",
|
||||
" checkpoint_tuple = checkpointer.get_tuple(config)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "613d0bbc-0e38-45c4-aace-1f6f7ae27c7b",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"CheckpointTuple(config={'configurable': {'thread_id': '2', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-4650-6bfc-8003-1c5488f19318'}}, checkpoint={'v': 1, 'id': '1ef559b7-4650-6bfc-8003-1c5488f19318', 'ts': '2024-08-08T15:32:43.284551+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8', 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}}, 'channel_versions': {'agent': '00000000000000000000000000000005.065d90dd7f7cd091f0233855210bb2af', 'tools': '00000000000000000000000000000005.', 'messages': '00000000000000000000000000000005.af9f229d2c4e14f4866eb37f72ec39f6', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'}, 'channel_values': {'agent': 'agent', 'messages': [HumanMessage(content=\"what's the weather in sf\", id='7a14f96c-2d88-454f-9520-0e0287a4abbb'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_NcL4dBTYu4kSPGMKdxztdpjN', '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-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-39adbf2c-36ef-40f6-9cad-8e1f8167fc19-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_NcL4dBTYu4kSPGMKdxztdpjN', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71}), ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='c9f82354-3225-40a8-bf54-81f3e199043b', tool_call_id='call_NcL4dBTYu4kSPGMKdxztdpjN'), AIMessage(content='The weather in San Francisco is always sunny!', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 84, 'total_tokens': 94}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-83888be3-d681-42ca-ad67-e2f5ee8550de-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}}, metadata={'step': 3, 'source': 'loop', 'writes': {'agent': {'messages': [AIMessage(content='The weather in San Francisco is always sunny!', response_metadata={'logprobs': None, 'model_name': 'gpt-4o-mini-2024-07-18', 'token_usage': {'total_tokens': 94, 'prompt_tokens': 84, 'completion_tokens': 10}, 'finish_reason': 'stop', 'system_fingerprint': 'fp_48196bc67a'}, id='run-83888be3-d681-42ca-ad67-e2f5ee8550de-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}}}, parent_config={'configurable': {'thread_id': '2', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-4087-681a-8002-88a5738f76f1'}}, pending_writes=[])"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"checkpoint_tuple"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "49fb52fd-af31-4603-889d-66d783244bce",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### With a connection string\n",
|
||||
"\n",
|
||||
"This creates a connection based on a connection string:\n",
|
||||
"- Advantages: Simplicity, encapsulates connection details\n",
|
||||
"- Best for: Quick setup or when connection details are provided as a string"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "5fe54e79-9eaf-44e2-b2d9-1e0284b984d0",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"with PostgresSaver.from_conn_string(DB_URI) as checkpointer:\n",
|
||||
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
|
||||
" config = {\"configurable\": {\"thread_id\": \"3\"}}\n",
|
||||
" res = graph.invoke({\"messages\": [(\"human\", \"what's the weather in sf\")]}, config)\n",
|
||||
"\n",
|
||||
" checkpoint_tuples = list(checkpointer.list(config))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "b2ce743b-5896-443b-9ec0-a655b065895c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[CheckpointTuple(config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-5024-6476-8003-cf0a750e6b37'}}, checkpoint={'v': 1, 'id': '1ef559b7-5024-6476-8003-cf0a750e6b37', 'ts': '2024-08-08T15:32:44.314900+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8', 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}}, 'channel_versions': {'agent': '00000000000000000000000000000005.065d90dd7f7cd091f0233855210bb2af', 'tools': '00000000000000000000000000000005.', 'messages': '00000000000000000000000000000005.3f8b8d9923575b911e17157008ab75ac', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'}, 'channel_values': {'agent': 'agent', 'messages': [HumanMessage(content=\"what's the weather in sf\", id='5bf79d15-6332-4bf5-89bd-ee192b31ed84'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', '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-mini-2024-07-18', 'system_fingerprint': 'fp_507c9469a1', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-2958adc7-f6a4-415d-ade1-5ee77e0b9276-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71}), ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='cac4f90a-dc3e-4bfa-940f-1c630289a583', tool_call_id='call_9y3q1BiwW7zGh2gk2faInTRk'), AIMessage(content='The weather in San Francisco is always sunny!', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 84, 'total_tokens': 94}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-97d3fb7a-3d2e-4090-84f4-dafdfe44553f-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}}, metadata={'step': 3, 'source': 'loop', 'writes': {'agent': {'messages': [AIMessage(content='The weather in San Francisco is always sunny!', response_metadata={'logprobs': None, 'model_name': 'gpt-4o-mini-2024-07-18', 'token_usage': {'total_tokens': 94, 'prompt_tokens': 84, 'completion_tokens': 10}, 'finish_reason': 'stop', 'system_fingerprint': 'fp_48196bc67a'}, id='run-97d3fb7a-3d2e-4090-84f4-dafdfe44553f-0', usage_metadata={'input_tokens': 84, 'output_tokens': 10, 'total_tokens': 94})]}}}, parent_config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-4b3d-6430-8002-b5c99d2eb4db'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-4b3d-6430-8002-b5c99d2eb4db'}}, checkpoint={'v': 1, 'id': '1ef559b7-4b3d-6430-8002-b5c99d2eb4db', 'ts': '2024-08-08T15:32:43.800857+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}}, 'channel_versions': {'agent': '00000000000000000000000000000004.', 'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8', 'messages': '00000000000000000000000000000004.1195f50946feaedb0bae1fdbfadc806b', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'}, 'channel_values': {'tools': 'tools', 'messages': [HumanMessage(content=\"what's the weather in sf\", id='5bf79d15-6332-4bf5-89bd-ee192b31ed84'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', '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-mini-2024-07-18', 'system_fingerprint': 'fp_507c9469a1', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-2958adc7-f6a4-415d-ade1-5ee77e0b9276-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71}), ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='cac4f90a-dc3e-4bfa-940f-1c630289a583', tool_call_id='call_9y3q1BiwW7zGh2gk2faInTRk')]}}, metadata={'step': 2, 'source': 'loop', 'writes': {'tools': {'messages': [ToolMessage(content=\"It's always sunny in sf\", name='get_weather', id='cac4f90a-dc3e-4bfa-940f-1c630289a583', tool_call_id='call_9y3q1BiwW7zGh2gk2faInTRk')]}}}, parent_config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-4b30-6078-8001-eaf8c9bd8844'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-4b30-6078-8001-eaf8c9bd8844'}}, checkpoint={'v': 1, 'id': '1ef559b7-4b30-6078-8001-eaf8c9bd8844', 'ts': '2024-08-08T15:32:43.795440+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}}, 'channel_versions': {'agent': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af', 'messages': '00000000000000000000000000000003.bab5fb3a70876f600f5f2fd46945ce5f', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, 'channel_values': {'agent': 'agent', 'messages': [HumanMessage(content=\"what's the weather in sf\", id='5bf79d15-6332-4bf5-89bd-ee192b31ed84'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', '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-mini-2024-07-18', 'system_fingerprint': 'fp_507c9469a1', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-2958adc7-f6a4-415d-ade1-5ee77e0b9276-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71})], 'branch:agent:should_continue:tools': 'agent'}}, metadata={'step': 1, 'source': 'loop', 'writes': {'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', 'type': 'function', 'function': {'name': 'get_weather', 'arguments': '{\"city\":\"sf\"}'}}]}, response_metadata={'logprobs': None, 'model_name': 'gpt-4o-mini-2024-07-18', 'token_usage': {'total_tokens': 71, 'prompt_tokens': 57, 'completion_tokens': 14}, 'finish_reason': 'tool_calls', 'system_fingerprint': 'fp_507c9469a1'}, id='run-2958adc7-f6a4-415d-ade1-5ee77e0b9276-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'sf'}, 'id': 'call_9y3q1BiwW7zGh2gk2faInTRk', 'type': 'tool_call'}], usage_metadata={'input_tokens': 57, 'output_tokens': 14, 'total_tokens': 71})]}}}, parent_config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-46d7-6116-8000-8976b7c89a2f'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-46d7-6116-8000-8976b7c89a2f'}}, checkpoint={'v': 1, 'id': '1ef559b7-46d7-6116-8000-8976b7c89a2f', 'ts': '2024-08-08T15:32:43.339573+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}}, 'channel_versions': {'messages': '00000000000000000000000000000002.ba0c90d32863686481f7fe5eab9ecdf0', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'channel_values': {'messages': [HumanMessage(content=\"what's the weather in sf\", id='5bf79d15-6332-4bf5-89bd-ee192b31ed84')], 'start:agent': '__start__'}}, metadata={'step': 0, 'source': 'loop', 'writes': None}, parent_config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-46ce-6c64-bfff-ef7fe2663573'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '3', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-46ce-6c64-bfff-ef7fe2663573'}}, checkpoint={'v': 1, 'id': '1ef559b7-46ce-6c64-bfff-ef7fe2663573', 'ts': '2024-08-08T15:32:43.336188+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'__input__': {}}, 'channel_versions': {'__start__': '00000000000000000000000000000001.ab89befb52cc0e91e106ef7f500ea033'}, 'channel_values': {'__start__': {'messages': [['human', \"what's the weather in sf\"]]}}}, metadata={'step': -1, 'source': 'input', 'writes': {'messages': [['human', \"what's the weather in sf\"]]}}, parent_config=None, pending_writes=None)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"checkpoint_tuples"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "c0a47d3e-e588-48fc-a5d4-2145dff17e77",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Use async connection\n",
|
||||
"\n",
|
||||
"This sets up an asynchronous connection to the database. \n",
|
||||
"\n",
|
||||
"Async connections allow non-blocking database operations. This means other parts of your application can continue running while waiting for database operations to complete. It's particularly useful in high-concurrency scenarios or when dealing with I/O-bound operations."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "ee6b6cf7-d8f7-4777-a48d-93b5855fe681",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### With a connection pool"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "4faf6087-73cc-4957-9a4f-f3509a32a740",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from psycopg_pool import AsyncConnectionPool\n",
|
||||
"\n",
|
||||
"async with AsyncConnectionPool(\n",
|
||||
" # Example configuration\n",
|
||||
" conninfo=DB_URI,\n",
|
||||
" max_size=20,\n",
|
||||
" kwargs=connection_kwargs,\n",
|
||||
") as pool:\n",
|
||||
" checkpointer = AsyncPostgresSaver(pool)\n",
|
||||
"\n",
|
||||
" # NOTE: you need to call .setup() the first time you're using your checkpointer\n",
|
||||
" await checkpointer.setup()\n",
|
||||
"\n",
|
||||
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
|
||||
" config = {\"configurable\": {\"thread_id\": \"4\"}}\n",
|
||||
" res = await graph.ainvoke(\n",
|
||||
" {\"messages\": [(\"human\", \"what's the weather in nyc\")]}, config\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" checkpoint = await checkpointer.aget(config)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"id": "e0c42044-4de6-4742-8e00-fe295d50c95a",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'v': 1,\n",
|
||||
" 'id': '1ef559b7-5cc9-6460-8003-8655824c0944',\n",
|
||||
" 'ts': '2024-08-08T15:32:45.640793+00:00',\n",
|
||||
" 'current_tasks': {},\n",
|
||||
" 'pending_sends': [],\n",
|
||||
" 'versions_seen': {'agent': {'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8',\n",
|
||||
" 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'},\n",
|
||||
" 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'},\n",
|
||||
" '__input__': {},\n",
|
||||
" '__start__': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}},\n",
|
||||
" 'channel_versions': {'agent': '00000000000000000000000000000005.065d90dd7f7cd091f0233855210bb2af',\n",
|
||||
" 'tools': '00000000000000000000000000000005.',\n",
|
||||
" 'messages': '00000000000000000000000000000005.d869fc7231619df0db74feed624efe41',\n",
|
||||
" '__start__': '00000000000000000000000000000002.',\n",
|
||||
" 'start:agent': '00000000000000000000000000000003.',\n",
|
||||
" 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'},\n",
|
||||
" 'channel_values': {'agent': 'agent',\n",
|
||||
" 'messages': [HumanMessage(content=\"what's the weather in nyc\", id='d883b8a0-99de-486d-91a2-bcfa7f25dc05'),\n",
|
||||
" AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_H6TAYfyd6AnaCrkQGs6Q2fVp', 'function': {'arguments': '{\"city\":\"nyc\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 58, 'total_tokens': 73}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-6f542f84-ad73-444c-8ef7-b5ea75a2e09b-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'nyc'}, 'id': 'call_H6TAYfyd6AnaCrkQGs6Q2fVp', 'type': 'tool_call'}], usage_metadata={'input_tokens': 58, 'output_tokens': 15, 'total_tokens': 73}),\n",
|
||||
" ToolMessage(content='It might be cloudy in nyc', name='get_weather', id='c0e52254-77a4-4ea9-a2b7-61dd2d65ec68', tool_call_id='call_H6TAYfyd6AnaCrkQGs6Q2fVp'),\n",
|
||||
" AIMessage(content='The weather in NYC might be cloudy.', response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 88, 'total_tokens': 97}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-977140d4-7582-40c3-b2b6-31b542c430a3-0', usage_metadata={'input_tokens': 88, 'output_tokens': 9, 'total_tokens': 97})]}}"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"checkpoint"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "56552584-9eb8-40df-a6a0-44151018b509",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### With a connection"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"id": "386b78bc-2f73-49ba-a2a4-47bce6fc49b7",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from psycopg import AsyncConnection\n",
|
||||
"\n",
|
||||
"async with await AsyncConnection.connect(DB_URI, **connection_kwargs) as conn:\n",
|
||||
" checkpointer = AsyncPostgresSaver(conn)\n",
|
||||
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
|
||||
" config = {\"configurable\": {\"thread_id\": \"5\"}}\n",
|
||||
" res = await graph.ainvoke(\n",
|
||||
" {\"messages\": [(\"human\", \"what's the weather in nyc\")]}, config\n",
|
||||
" )\n",
|
||||
" checkpoint_tuple = await checkpointer.aget_tuple(config)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"id": "d1ed1344-c923-4a46-b04e-cc3646737d48",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"CheckpointTuple(config={'configurable': {'thread_id': '5', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-65b4-60ca-8003-1ef4b620559a'}}, checkpoint={'v': 1, 'id': '1ef559b7-65b4-60ca-8003-1ef4b620559a', 'ts': '2024-08-08T15:32:46.575814+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8', 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}}, 'channel_versions': {'agent': '00000000000000000000000000000005.065d90dd7f7cd091f0233855210bb2af', 'tools': '00000000000000000000000000000005.', 'messages': '00000000000000000000000000000005.1557a6006d58f736d5cb2dd5c5f10111', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'}, 'channel_values': {'agent': 'agent', 'messages': [HumanMessage(content=\"what's the weather in nyc\", id='935e7732-b288-49bd-9ec2-1f7610cc38cb'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_94KtjtPmsiaj7T8yXvL7Ef31', 'function': {'arguments': '{\"city\":\"nyc\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 58, 'total_tokens': 73}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-790c929a-7982-49e7-af67-2cbe4a86373b-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'nyc'}, 'id': 'call_94KtjtPmsiaj7T8yXvL7Ef31', 'type': 'tool_call'}], usage_metadata={'input_tokens': 58, 'output_tokens': 15, 'total_tokens': 73}), ToolMessage(content='It might be cloudy in nyc', name='get_weather', id='b2dc1073-abc4-4492-8982-434a7e32e445', tool_call_id='call_94KtjtPmsiaj7T8yXvL7Ef31'), AIMessage(content='The weather in NYC might be cloudy.', response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 88, 'total_tokens': 97}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-7e8a7f16-d8e1-457a-89f3-192102396449-0', usage_metadata={'input_tokens': 88, 'output_tokens': 9, 'total_tokens': 97})]}}, metadata={'step': 3, 'source': 'loop', 'writes': {'agent': {'messages': [AIMessage(content='The weather in NYC might be cloudy.', response_metadata={'logprobs': None, 'model_name': 'gpt-4o-mini-2024-07-18', 'token_usage': {'total_tokens': 97, 'prompt_tokens': 88, 'completion_tokens': 9}, 'finish_reason': 'stop', 'system_fingerprint': 'fp_48196bc67a'}, id='run-7e8a7f16-d8e1-457a-89f3-192102396449-0', usage_metadata={'input_tokens': 88, 'output_tokens': 9, 'total_tokens': 97})]}}}, parent_config={'configurable': {'thread_id': '5', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-62ae-6128-8002-c04af82bcd41'}}, pending_writes=[])"
|
||||
]
|
||||
},
|
||||
"execution_count": 16,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"checkpoint_tuple"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "2f7e486a-3e63-41d7-b84b-6743f0a5764c",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### With a connection string"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"id": "6a39d1ff-ca37-4457-8b52-07d33b59c36e",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:\n",
|
||||
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
|
||||
" config = {\"configurable\": {\"thread_id\": \"6\"}}\n",
|
||||
" res = await graph.ainvoke(\n",
|
||||
" {\"messages\": [(\"human\", \"what's the weather in nyc\")]}, config\n",
|
||||
" )\n",
|
||||
" checkpoint_tuples = [c async for c in checkpointer.alist(config)]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"id": "2b6d73ca-519e-45f7-90c2-1b8596624505",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[CheckpointTuple(config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-723c-67de-8003-63bd4eab35af'}}, checkpoint={'v': 1, 'id': '1ef559b7-723c-67de-8003-63bd4eab35af', 'ts': '2024-08-08T15:32:47.890003+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8', 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}}, 'channel_versions': {'agent': '00000000000000000000000000000005.065d90dd7f7cd091f0233855210bb2af', 'tools': '00000000000000000000000000000005.', 'messages': '00000000000000000000000000000005.b6fe2a26011590cfe8fd6a39151a9e92', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'}, 'channel_values': {'agent': 'agent', 'messages': [HumanMessage(content=\"what's the weather in nyc\", id='977ddb90-9991-44cb-9f73-361c6dd21396'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'function': {'arguments': '{\"city\":\"nyc\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 58, 'total_tokens': 73}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-47b10c48-4db3-46d8-b4fa-e021818e01c5-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'nyc'}, 'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'type': 'tool_call'}], usage_metadata={'input_tokens': 58, 'output_tokens': 15, 'total_tokens': 73}), ToolMessage(content='It might be cloudy in nyc', name='get_weather', id='798c520f-4f9a-4f6d-a389-da721eb4d4ce', tool_call_id='call_QIFCuh4zfP9owpjToycJiZf7'), AIMessage(content='The weather in NYC might be cloudy.', response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 88, 'total_tokens': 97}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'stop', 'logprobs': None}, id='run-4a34e05d-8bcf-41ad-adc3-715919fde64c-0', usage_metadata={'input_tokens': 88, 'output_tokens': 9, 'total_tokens': 97})]}}, metadata={'step': 3, 'source': 'loop', 'writes': {'agent': {'messages': [AIMessage(content='The weather in NYC might be cloudy.', response_metadata={'logprobs': None, 'model_name': 'gpt-4o-mini-2024-07-18', 'token_usage': {'total_tokens': 97, 'prompt_tokens': 88, 'completion_tokens': 9}, 'finish_reason': 'stop', 'system_fingerprint': 'fp_48196bc67a'}, id='run-4a34e05d-8bcf-41ad-adc3-715919fde64c-0', usage_metadata={'input_tokens': 88, 'output_tokens': 9, 'total_tokens': 97})]}}}, parent_config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-6bf5-63c6-8002-ed990dbbc96e'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-6bf5-63c6-8002-ed990dbbc96e'}}, checkpoint={'v': 1, 'id': '1ef559b7-6bf5-63c6-8002-ed990dbbc96e', 'ts': '2024-08-08T15:32:47.231667+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'tools': {'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}}, 'channel_versions': {'agent': '00000000000000000000000000000004.', 'tools': '00000000000000000000000000000004.022986cd20ae85c77ea298a383f69ba8', 'messages': '00000000000000000000000000000004.c9074f2a41f05486b5efb86353dc75c0', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000004.'}, 'channel_values': {'tools': 'tools', 'messages': [HumanMessage(content=\"what's the weather in nyc\", id='977ddb90-9991-44cb-9f73-361c6dd21396'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'function': {'arguments': '{\"city\":\"nyc\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 58, 'total_tokens': 73}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-47b10c48-4db3-46d8-b4fa-e021818e01c5-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'nyc'}, 'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'type': 'tool_call'}], usage_metadata={'input_tokens': 58, 'output_tokens': 15, 'total_tokens': 73}), ToolMessage(content='It might be cloudy in nyc', name='get_weather', id='798c520f-4f9a-4f6d-a389-da721eb4d4ce', tool_call_id='call_QIFCuh4zfP9owpjToycJiZf7')]}}, metadata={'step': 2, 'source': 'loop', 'writes': {'tools': {'messages': [ToolMessage(content='It might be cloudy in nyc', name='get_weather', id='798c520f-4f9a-4f6d-a389-da721eb4d4ce', tool_call_id='call_QIFCuh4zfP9owpjToycJiZf7')]}}}, parent_config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-6be0-6926-8001-1a8ce73baf9e'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-6be0-6926-8001-1a8ce73baf9e'}}, checkpoint={'v': 1, 'id': '1ef559b7-6be0-6926-8001-1a8ce73baf9e', 'ts': '2024-08-08T15:32:47.223198+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'agent': {'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, '__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}}, 'channel_versions': {'agent': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af', 'messages': '00000000000000000000000000000003.097b5407d709b297591f1ef5d50c8368', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000003.', 'branch:agent:should_continue:tools': '00000000000000000000000000000003.065d90dd7f7cd091f0233855210bb2af'}, 'channel_values': {'agent': 'agent', 'messages': [HumanMessage(content=\"what's the weather in nyc\", id='977ddb90-9991-44cb-9f73-361c6dd21396'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'function': {'arguments': '{\"city\":\"nyc\"}', 'name': 'get_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 58, 'total_tokens': 73}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_48196bc67a', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-47b10c48-4db3-46d8-b4fa-e021818e01c5-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'nyc'}, 'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'type': 'tool_call'}], usage_metadata={'input_tokens': 58, 'output_tokens': 15, 'total_tokens': 73})], 'branch:agent:should_continue:tools': 'agent'}}, metadata={'step': 1, 'source': 'loop', 'writes': {'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'type': 'function', 'function': {'name': 'get_weather', 'arguments': '{\"city\":\"nyc\"}'}}]}, response_metadata={'logprobs': None, 'model_name': 'gpt-4o-mini-2024-07-18', 'token_usage': {'total_tokens': 73, 'prompt_tokens': 58, 'completion_tokens': 15}, 'finish_reason': 'tool_calls', 'system_fingerprint': 'fp_48196bc67a'}, id='run-47b10c48-4db3-46d8-b4fa-e021818e01c5-0', tool_calls=[{'name': 'get_weather', 'args': {'city': 'nyc'}, 'id': 'call_QIFCuh4zfP9owpjToycJiZf7', 'type': 'tool_call'}], usage_metadata={'input_tokens': 58, 'output_tokens': 15, 'total_tokens': 73})]}}}, parent_config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-663d-60b4-8000-10a8922bffbf'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-663d-60b4-8000-10a8922bffbf'}}, checkpoint={'v': 1, 'id': '1ef559b7-663d-60b4-8000-10a8922bffbf', 'ts': '2024-08-08T15:32:46.631935+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'__input__': {}, '__start__': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}}, 'channel_versions': {'messages': '00000000000000000000000000000002.2a79db8da664e437bdb25ea804457ca7', '__start__': '00000000000000000000000000000002.', 'start:agent': '00000000000000000000000000000002.d6f25946c3108fc12f27abbcf9b4cedc'}, 'channel_values': {'messages': [HumanMessage(content=\"what's the weather in nyc\", id='977ddb90-9991-44cb-9f73-361c6dd21396')], 'start:agent': '__start__'}}, metadata={'step': 0, 'source': 'loop', 'writes': None}, parent_config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-6637-6d4e-bfff-6cecf690c3cb'}}, pending_writes=None),\n",
|
||||
" CheckpointTuple(config={'configurable': {'thread_id': '6', 'checkpoint_ns': '', 'checkpoint_id': '1ef559b7-6637-6d4e-bfff-6cecf690c3cb'}}, checkpoint={'v': 1, 'id': '1ef559b7-6637-6d4e-bfff-6cecf690c3cb', 'ts': '2024-08-08T15:32:46.629806+00:00', 'current_tasks': {}, 'pending_sends': [], 'versions_seen': {'__input__': {}}, 'channel_versions': {'__start__': '00000000000000000000000000000001.0e148ae3debe753278387e84f786e863'}, 'channel_values': {'__start__': {'messages': [['human', \"what's the weather in nyc\"]]}}}, metadata={'step': -1, 'source': 'input', 'writes': {'messages': [['human', \"what's the weather in nyc\"]]}}, parent_config=None, pending_writes=None)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"checkpoint_tuples"
|
||||
]
|
||||
}
|
||||
],
|
||||
"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": "3.11.4"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
Reference in New Issue
Block a user