Fix dependencies, imports, and README

Removed linters and formatters from pyproject.toml
Created a requirements.txt file
Updated the README file
Ran isort to fix import spacing and order

python-langgraph/README.md

@@ -4,22 +4,10 @@ This repo contains the source code for [LangGraph: Build Stateful AI Agents in P
 
 ## Setup
 
-LangGraph is available on [PyPI](https://pypi.org/), and you can install it with [pip](https://realpython.com/what-is-pip/). Open a terminal or command prompt, create a new virtual environment, and then run the following command to install LangGraph:
+Create a new virtual environment, and run the following command to install LangGraph and the additional requirements for this project:
 
 ```console
-(venv) $ python -m pip install langgraph
-```
-
-This command will install the latest version of LangGraph from PyPI onto your machine. To verify that the installation was successful, start a [Python REPL](https://realpython.com/python-repl/) and import LangGraph:
-
-```pycon
->>> import langgraph
-```
-
-If the import runs without error, then you've successfully installed LangGraph. You'll also need a few more libraries for this tutorial:
-
-```console
-(venv) $ python -m pip install langchain-openai pydantic[email]
+(venv) $ python -m pip install -r requirements.txt
 ```
 
 You'll use `langchain-openai` to interact with OpenAI LLMs, but keep in mind you can use any LLM provider you like with LangGraph and LangChain. You'll use [`pydantic`](https://realpython.com/python-pydantic/) to validate the information your agent parses from emails.
@@ -30,6 +18,6 @@ Before moving forward, if you choose to use OpenAI, make sure you're signed up f
 OPENAI_API_KEY=<YOUR-OPENAI-API-KEY>
 ```
 
-Note that while LangGraph was made by the creators of LangChain, and the two libraries are highly compatible, it is possible to use LangGraph without LangChain. However, it's more common to use LangChain and LangGraph together, and you'll see throughout this tutorial how they compliment each other. 
+## Usage
 
-With that, you've installed all the dependencies you'll need for this tutorial, and you're ready to create your LangGraph email processor. You'll start by going through an overview of LangChain chains and exploring LangGraph's core concept - the state graph.
+TODO: A short note on how to run the project. You can tell them to go to the tutorial for more information.

python-langgraph/graphs/email_agent.py

@@ -1,14 +1,15 @@
 import logging
 import time
 
-from chains.notice_extraction import NoticeEmailExtract
-from graphs.notice_extraction import NOTICE_EXTRACTION_GRAPH
 from langchain_core.messages import AIMessage
 from langchain_core.tools import tool
 from langchain_openai import ChatOpenAI
 from langgraph.graph import END, START, MessagesState, StateGraph
 from langgraph.prebuilt import ToolNode
 
+from chains.notice_extraction import NoticeEmailExtract
+from graphs.notice_extraction import NOTICE_EXTRACTION_GRAPH
+
 logging.basicConfig(
     level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
 )

python-langgraph/graphs/notice_extraction.py

@@ -1,11 +1,12 @@
 import logging
 from typing import TypedDict
 
+from langgraph.graph import END, START, StateGraph
+from pydantic import EmailStr
+
 from chains.binary_questions import BINARY_QUESTION_CHAIN
 from chains.escalation_check import ESCALATION_CHECK_CHAIN
 from chains.notice_extraction import NOTICE_PARSER_CHAIN, NoticeEmailExtract
-from langgraph.graph import END, START, StateGraph
-from pydantic import EmailStr
 from utils.graph_utils import create_legal_ticket, send_escalation_email
 
 logging.basicConfig(

python-langgraph/pyproject.toml

@@ -5,10 +5,7 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
-    "black>=24.10.0",
-    "flake8>=7.1.1",
     "langchain-openai>=0.3.2",
     "langgraph>=0.2.67",
     "pydantic[email]>=2.10.6",
-    "ruff>=0.9.3",
 ]

python-langgraph/requirements.txt

@@ -0,0 +1,106 @@
+# This file was autogenerated by uv via the following command:
+#    uv pip compile --output-file requirements.txt pyproject.toml
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.8.0
+    # via
+    #   httpx
+    #   openai
+certifi==2025.1.31
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.4.1
+    # via requests
+distro==1.9.0
+    # via openai
+dnspython==2.7.0
+    # via email-validator
+email-validator==2.2.0
+    # via pydantic
+h11==0.14.0
+    # via httpcore
+httpcore==1.0.7
+    # via httpx
+httpx==0.28.1
+    # via
+    #   langgraph-sdk
+    #   langsmith
+    #   openai
+idna==3.10
+    # via
+    #   anyio
+    #   email-validator
+    #   httpx
+    #   requests
+jiter==0.8.2
+    # via openai
+jsonpatch==1.33
+    # via langchain-core
+jsonpointer==3.0.0
+    # via jsonpatch
+langchain-core==0.3.33
+    # via
+    #   langchain-openai
+    #   langgraph
+    #   langgraph-checkpoint
+langchain-openai==0.3.3
+    # via python-langgraph (pyproject.toml)
+langgraph==0.2.69
+    # via python-langgraph (pyproject.toml)
+langgraph-checkpoint==2.0.10
+    # via langgraph
+langgraph-sdk==0.1.51
+    # via langgraph
+langsmith==0.3.4
+    # via langchain-core
+msgpack==1.1.0
+    # via langgraph-checkpoint
+openai==1.61.0
+    # via langchain-openai
+orjson==3.10.15
+    # via
+    #   langgraph-sdk
+    #   langsmith
+packaging==24.2
+    # via langchain-core
+pydantic==2.10.6
+    # via
+    #   python-langgraph (pyproject.toml)
+    #   langchain-core
+    #   langsmith
+    #   openai
+pydantic-core==2.27.2
+    # via pydantic
+pyyaml==6.0.2
+    # via langchain-core
+regex==2024.11.6
+    # via tiktoken
+requests==2.32.3
+    # via
+    #   langsmith
+    #   requests-toolbelt
+    #   tiktoken
+requests-toolbelt==1.0.0
+    # via langsmith
+sniffio==1.3.1
+    # via
+    #   anyio
+    #   openai
+tenacity==9.0.0
+    # via langchain-core
+tiktoken==0.8.0
+    # via langchain-openai
+tqdm==4.67.1
+    # via openai
+typing-extensions==4.12.2
+    # via
+    #   langchain-core
+    #   openai
+    #   pydantic
+    #   pydantic-core
+urllib3==2.3.0
+    # via requests
+zstandard==0.23.0
+    # via langsmith

python-langgraph/utils/graph_utils.py

@@ -2,9 +2,10 @@
 import random
 import time
 
-from chains.notice_extraction import NoticeEmailExtract
 from pydantic import EmailStr
 
+from chains.notice_extraction import NoticeEmailExtract
+
 logging.basicConfig(
     level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
 )