This commit is contained in:
Eugene Yurtsev
2025-05-02 10:55:57 -04:00
parent c90f6f137f
commit 412f37bed8
8 changed files with 910 additions and 223 deletions
@@ -1,3 +1,4 @@
from langgraph_tutorials.customer_support.db import DB
from langgraph_tutorials.customer_support.policy import PolicyRetriever
__all__ = ["DB"]
__all__ = ["DB", "PolicyRetriever"]
@@ -0,0 +1,110 @@
from datetime import date, datetime
from langgraph_tutorials.customer_support.db import DB
def search_car_rentals(
location: str | None = None,
name: str | None = None,
price_tier: str | None = None,
start_date: datetime | date | None = None,
end_date: datetime | date | None = None,
) -> list[dict]:
"""Search for car rentals based on location, name, price tier, start date, and end date.
Args:
location (Optional[str]): The location of the car rental.
name (Optional[str]): The name of the car rental company.
price_tier (Optional[str]): The price tier of the car rental.
start_date (Optional[Union[datetime, date]]): The start date of the car rental.
end_date (Optional[Union[datetime, date]]): The end date of the car rental.
Returns:
list[dict]: A list of car rental dictionaries matching the search criteria.
"""
with DB.get_cursor() as cursor:
query = "SELECT * FROM car_rentals WHERE 1=1"
params = []
if location:
query += " AND location LIKE ?"
params.append(f"%{location}%")
if name:
query += " AND name LIKE ?"
params.append(f"%{name}%")
# For our tutorial, we will let you match on any dates and price tier.
# (since our toy dataset doesn't have much data)
cursor.execute(query, params)
results = cursor.fetchall()
return [
dict(zip([column[0] for column in cursor.description], row, strict=False))
for row in results
]
def book_car_rental(rental_id: int) -> str:
"""Book a car rental by its ID.
Args:
rental_id (int): The ID of the car rental to book.
Returns:
str: A message indicating whether the car rental was successfully booked or not.
"""
with DB.get_cursor() as cursor:
cursor.execute("UPDATE car_rentals SET booked = 1 WHERE id = ?", (rental_id,))
if cursor.rowcount > 0:
return f"Car rental {rental_id} successfully booked."
return f"No car rental found with ID {rental_id}."
def update_car_rental(
rental_id: int,
start_date: datetime | date | None = None,
end_date: datetime | date | None = None,
) -> str:
"""Update a car rental's start and end dates by its ID.
Args:
rental_id (int): The ID of the car rental to update.
start_date (Optional[Union[datetime, date]]): The new start date of the car rental.
end_date (Optional[Union[datetime, date]]): The new end date of the car rental.
Returns:
str: A message indicating whether the car rental was successfully updated or not.
"""
with DB.get_cursor() as cursor:
updates_made = 0
if start_date:
cursor.execute(
"UPDATE car_rentals SET start_date = ? WHERE id = ?",
(start_date, rental_id),
)
updates_made += cursor.rowcount
if end_date:
cursor.execute(
"UPDATE car_rentals SET end_date = ? WHERE id = ?",
(end_date, rental_id),
)
updates_made += cursor.rowcount
if updates_made > 0:
return f"Car rental {rental_id} successfully updated."
return f"No car rental found with ID {rental_id}."
def cancel_car_rental(rental_id: int) -> str:
"""Cancel a car rental by its ID.
Args:
rental_id (int): The ID of the car rental to cancel.
Returns:
str: A message indicating whether the car rental was successfully cancelled or not.
"""
with DB.get_cursor() as cursor:
cursor.execute("UPDATE car_rentals SET booked = 0 WHERE id = ?", (rental_id,))
if cursor.rowcount > 0:
return f"Car rental {rental_id} successfully cancelled."
return f"No car rental found with ID {rental_id}."
+3 -3
View File
@@ -10,8 +10,8 @@ meant for production use.
import os
import shutil
import sqlite3
from collections.abc import Generator
from contextlib import contextmanager
from typing import Generator, Optional
import pandas as pd
import requests
@@ -68,7 +68,7 @@ class DatabaseManager:
t: pd.read_sql(f"SELECT * FROM {t}", conn) for t in tables
}
flights: Optional[pd.DataFrame] = dataframes.get("flights")
flights: pd.DataFrame | None = dataframes.get("flights")
if flights is not None:
example_time = pd.to_datetime(
flights["actual_departure"].replace("\\N", pd.NaT)
@@ -86,7 +86,7 @@ class DatabaseManager:
pd.to_datetime(flights[col].replace("\\N", pd.NaT)) + time_diff
)
bookings: Optional[pd.DataFrame] = dataframes.get("bookings")
bookings: pd.DataFrame | None = dataframes.get("bookings")
if bookings is not None:
bookings["book_date"] = (
pd.to_datetime(bookings["book_date"].replace("\\N", pd.NaT), utc=True)
@@ -0,0 +1,102 @@
"""Information about excursions"""
from langgraph_tutorials.customer_support.db import DB
def search_trip_recommendations(
location: str | None = None,
name: str | None = None,
keywords: str | None = None,
) -> list[dict]:
"""Search for trip recommendations based on location, name, and keywords.
Args:
location (Optional[str]): The location of the trip recommendation.
name (Optional[str]): The name of the trip recommendation.
keywords (Optional[str]): The keywords associated with the trip recommendation.
Returns:
list[dict]: A list of trip recommendation dictionaries matching the search criteria.
"""
with DB.get_cursor() as cursor:
query = "SELECT * FROM trip_recommendations WHERE 1=1"
params = []
if location:
query += " AND location LIKE ?"
params.append(f"%{location}%")
if name:
query += " AND name LIKE ?"
params.append(f"%{name}%")
if keywords:
keyword_list = keywords.split(",")
keyword_conditions = " OR ".join(["keywords LIKE ?" for _ in keyword_list])
query += f" AND ({keyword_conditions})"
params.extend([f"%{keyword.strip()}%" for keyword in keyword_list])
cursor.execute(query, params)
results = cursor.fetchall()
return [
dict(zip([column[0] for column in cursor.description], row, strict=False))
for row in results
]
def book_excursion(recommendation_id: int) -> str:
"""Book an excursion by its recommendation ID.
Args:
recommendation_id (int): The ID of the trip recommendation to book.
Returns:
str: A message indicating whether the trip recommendation was successfully booked or not.
"""
with DB.get_cursor() as cursor:
cursor.execute(
"UPDATE trip_recommendations SET booked = 1 WHERE id = ?",
(recommendation_id,),
)
if cursor.rowcount > 0:
return f"Trip recommendation {recommendation_id} successfully booked."
return f"No trip recommendation found with ID {recommendation_id}."
def update_excursion(recommendation_id: int, details: str) -> str:
"""Update a trip recommendation's details by its ID.
Args:
recommendation_id (int): The ID of the trip recommendation to update.
details (str): The new details of the trip recommendation.
Returns:
str: A message indicating whether the trip recommendation was successfully updated or not.
"""
with DB.get_cursor() as cursor:
cursor.execute(
"UPDATE trip_recommendations SET details = ? WHERE id = ?",
(details, recommendation_id),
)
if cursor.rowcount > 0:
return f"Trip recommendation {recommendation_id} successfully updated."
return f"No trip recommendation found with ID {recommendation_id}."
def cancel_excursion(recommendation_id: int) -> str:
"""Cancel a trip recommendation by its ID.
Args:
recommendation_id (int): The ID of the trip recommendation to cancel.
Returns:
str: A message indicating whether the trip recommendation was successfully cancelled or not.
"""
with DB.get_cursor() as cursor:
cursor.execute(
"UPDATE trip_recommendations SET booked = 0 WHERE id = ?",
(recommendation_id,),
)
if cursor.rowcount > 0:
return f"Trip recommendation {recommendation_id} successfully cancelled."
return f"No trip recommendation found with ID {recommendation_id}."
+98 -139
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@@ -1,52 +1,40 @@
import sqlite3
from datetime import date, datetime
import pytz
from langchain_core.runnables import RunnableConfig
from langchain_core.tools import tool
from langgraph_tutorials.customer_support.db import DB
@tool
def fetch_user_flight_information(config: RunnableConfig) -> list[dict]:
"""Fetch all tickets for the user along with corresponding flight information and seat assignments.
Returns:
A list of dictionaries where each dictionary contains the ticket details,
associated flight details, and the seat assignments for each ticket belonging to the user.
"""
"""Fetch all tickets for the user, including flight details and seat assignments."""
configuration = config.get("configurable", {})
passenger_id = configuration.get("passenger_id", None)
passenger_id = configuration.get("passenger_id")
if not passenger_id:
raise ValueError("No passenger ID configured.")
conn = sqlite3.connect(db)
cursor = conn.cursor()
query = """
SELECT
t.ticket_no, t.book_ref,
f.flight_id, f.flight_no, f.departure_airport, f.arrival_airport, f.scheduled_departure, f.scheduled_arrival,
bp.seat_no, tf.fare_conditions
FROM
tickets t
JOIN ticket_flights tf ON t.ticket_no = tf.ticket_no
JOIN flights f ON tf.flight_id = f.flight_id
JOIN boarding_passes bp ON bp.ticket_no = t.ticket_no AND bp.flight_id = f.flight_id
WHERE
t.passenger_id = ?
"""
cursor.execute(query, (passenger_id,))
rows = cursor.fetchall()
column_names = [column[0] for column in cursor.description]
results = [dict(zip(column_names, row, strict=False)) for row in rows]
cursor.close()
conn.close()
return results
with DB.get_cursor() as cursor:
query = """
SELECT
t.ticket_no, t.book_ref,
f.flight_id, f.flight_no, f.departure_airport, f.arrival_airport, f.scheduled_departure, f.scheduled_arrival,
bp.seat_no, tf.fare_conditions
FROM
tickets t
JOIN ticket_flights tf ON t.ticket_no = tf.ticket_no
JOIN flights f ON tf.flight_id = f.flight_id
JOIN boarding_passes bp ON bp.ticket_no = t.ticket_no AND bp.flight_id = f.flight_id
WHERE
t.passenger_id = ?
"""
cursor.execute(query, (passenger_id,))
rows = cursor.fetchall()
column_names = [column[0] for column in cursor.description]
return [dict(zip(column_names, row, strict=False)) for row in rows]
@tool
def search_flights(
departure_airport: str | None = None,
arrival_airport: str | None = None,
@@ -55,142 +43,113 @@ def search_flights(
limit: int = 20,
) -> list[dict]:
"""Search for flights based on departure airport, arrival airport, and departure time range."""
conn = sqlite3.connect(db)
cursor = conn.cursor()
with DB.get_cursor() as cursor:
query = "SELECT * FROM flights WHERE 1 = 1"
params = []
query = "SELECT * FROM flights WHERE 1 = 1"
params = []
if departure_airport:
query += " AND departure_airport = ?"
params.append(departure_airport)
if departure_airport:
query += " AND departure_airport = ?"
params.append(departure_airport)
if arrival_airport:
query += " AND arrival_airport = ?"
params.append(arrival_airport)
if arrival_airport:
query += " AND arrival_airport = ?"
params.append(arrival_airport)
if start_time:
query += " AND scheduled_departure >= ?"
params.append(start_time)
if start_time:
query += " AND scheduled_departure >= ?"
params.append(start_time)
if end_time:
query += " AND scheduled_departure <= ?"
params.append(end_time)
if end_time:
query += " AND scheduled_departure <= ?"
params.append(end_time)
query += " LIMIT ?"
params.append(limit)
cursor.execute(query, params)
rows = cursor.fetchall()
column_names = [column[0] for column in cursor.description]
results = [dict(zip(column_names, row, strict=False)) for row in rows]
query += " LIMIT ?"
params.append(limit)
cursor.close()
conn.close()
return results
cursor.execute(query, params)
rows = cursor.fetchall()
column_names = [column[0] for column in cursor.description]
return [dict(zip(column_names, row, strict=False)) for row in rows]
@tool
def update_ticket_to_new_flight(
ticket_no: str, new_flight_id: int, *, config: RunnableConfig
) -> str:
"""Update the user's ticket to a new valid flight."""
configuration = config.get("configurable", {})
passenger_id = configuration.get("passenger_id", None)
passenger_id = configuration.get("passenger_id")
if not passenger_id:
raise ValueError("No passenger ID configured.")
conn = sqlite3.connect(db)
cursor = conn.cursor()
with DB.get_cursor() as cursor:
cursor.execute(
"SELECT departure_airport, arrival_airport, scheduled_departure FROM flights WHERE flight_id = ?",
(new_flight_id,),
)
new_flight = cursor.fetchone()
if not new_flight:
return "Invalid new flight ID provided."
cursor.execute(
"SELECT departure_airport, arrival_airport, scheduled_departure FROM flights WHERE flight_id = ?",
(new_flight_id,),
)
new_flight = cursor.fetchone()
if not new_flight:
cursor.close()
conn.close()
return "Invalid new flight ID provided."
column_names = [column[0] for column in cursor.description]
new_flight_dict = dict(zip(column_names, new_flight, strict=False))
timezone = pytz.timezone("Etc/GMT-3")
current_time = datetime.now(tz=timezone)
departure_time = datetime.strptime(
new_flight_dict["scheduled_departure"], "%Y-%m-%d %H:%M:%S.%f%z"
)
time_until = (departure_time - current_time).total_seconds()
if time_until < (3 * 3600):
return f"Not permitted to reschedule to a flight that is less than 3 hours from the current time. Selected flight is at {departure_time}."
column_names = [column[0] for column in cursor.description]
new_flight_dict = dict(zip(column_names, new_flight, strict=False))
timezone = pytz.timezone("Etc/GMT-3")
current_time = datetime.now(tz=timezone)
departure_time = datetime.strptime(
new_flight_dict["scheduled_departure"], "%Y-%m-%d %H:%M:%S.%f%z"
)
time_until = (departure_time - current_time).total_seconds()
if time_until < (3 * 3600):
return (
f"Not permitted to reschedule to a flight less than 3 hours away. "
f"Selected flight departs at {departure_time}."
)
cursor.execute(
"SELECT flight_id FROM ticket_flights WHERE ticket_no = ?", (ticket_no,)
)
current_flight = cursor.fetchone()
if not current_flight:
cursor.close()
conn.close()
return "No existing ticket found for the given ticket number."
cursor.execute(
"SELECT flight_id FROM ticket_flights WHERE ticket_no = ?", (ticket_no,)
)
current_flight = cursor.fetchone()
if not current_flight:
return "No existing ticket found for the given ticket number."
# Check the signed-in user actually has this ticket
cursor.execute(
"SELECT * FROM tickets WHERE ticket_no = ? AND passenger_id = ?",
(ticket_no, passenger_id),
)
current_ticket = cursor.fetchone()
if not current_ticket:
cursor.close()
conn.close()
return f"Current signed-in passenger with ID {passenger_id} not the owner of ticket {ticket_no}"
cursor.execute(
"SELECT * FROM tickets WHERE ticket_no = ? AND passenger_id = ?",
(ticket_no, passenger_id),
)
current_ticket = cursor.fetchone()
if not current_ticket:
return f"Passenger ID {passenger_id} does not own ticket {ticket_no}."
# In a real application, you'd likely add additional checks here to enforce business logic,
# like "does the new departure airport match the current ticket", etc.
# While it's best to try to be *proactive* in 'type-hinting' policies to the LLM
# it's inevitably going to get things wrong, so you **also** need to ensure your
# API enforces valid behavior
cursor.execute(
"UPDATE ticket_flights SET flight_id = ? WHERE ticket_no = ?",
(new_flight_id, ticket_no),
)
conn.commit()
cursor.execute(
"UPDATE ticket_flights SET flight_id = ? WHERE ticket_no = ?",
(new_flight_id, ticket_no),
)
cursor.close()
conn.close()
return "Ticket successfully updated to new flight."
@tool
def cancel_ticket(ticket_no: str, *, config: RunnableConfig) -> str:
"""Cancel the user's ticket and remove it from the database."""
configuration = config.get("configurable", {})
passenger_id = configuration.get("passenger_id", None)
passenger_id = configuration.get("passenger_id")
if not passenger_id:
raise ValueError("No passenger ID configured.")
conn = sqlite3.connect(db)
cursor = conn.cursor()
cursor.execute(
"SELECT flight_id FROM ticket_flights WHERE ticket_no = ?", (ticket_no,)
)
existing_ticket = cursor.fetchone()
if not existing_ticket:
cursor.close()
conn.close()
return "No existing ticket found for the given ticket number."
with DB.get_cursor() as cursor:
cursor.execute(
"SELECT flight_id FROM ticket_flights WHERE ticket_no = ?", (ticket_no,)
)
existing_ticket = cursor.fetchone()
if not existing_ticket:
return "No existing ticket found for the given ticket number."
# Check the signed-in user actually has this ticket
cursor.execute(
"SELECT ticket_no FROM tickets WHERE ticket_no = ? AND passenger_id = ?",
(ticket_no, passenger_id),
)
current_ticket = cursor.fetchone()
if not current_ticket:
cursor.close()
conn.close()
return f"Current signed-in passenger with ID {passenger_id} not the owner of ticket {ticket_no}"
cursor.execute(
"SELECT ticket_no FROM tickets WHERE ticket_no = ? AND passenger_id = ?",
(ticket_no, passenger_id),
)
current_ticket = cursor.fetchone()
if not current_ticket:
return f"Passenger ID {passenger_id} does not own ticket {ticket_no}."
cursor.execute("DELETE FROM ticket_flights WHERE ticket_no = ?", (ticket_no,))
conn.commit()
cursor.execute("DELETE FROM ticket_flights WHERE ticket_no = ?", (ticket_no,))
cursor.close()
conn.close()
return "Ticket successfully cancelled."
+87 -77
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@@ -1,108 +1,118 @@
"""In memory retriever for a customer support policy lookup tool.
"""Retriever for a customer support policy lookup tool.
This module provides functionality to retrieve relevant policy information based on customer queries
using vector embeddings for semantic search. It fetches policy documents from an external source
and creates a vector store for efficient retrieval.
Starts empty and must be initialized to fetch, embed, and store policy documents.
Provides semantic search over the embedded documents and can generate a LangChain tool.
"""
import re
import numpy as np
import openai
import requests
from langchain.embeddings import init_embeddings
from langchain_core.embeddings import Embeddings
from langchain_core.tools import tool
# Fetch policy documents from external source
response = requests.get(
"https://storage.googleapis.com/benchmarks-artifacts/travel-db/swiss_faq.md"
)
response.raise_for_status()
faq_text = response.text
# Split the text into separate documents by section headers
docs = [{"page_content": txt} for txt in re.split(r"(?=\n##)", faq_text)]
class PolicyRetriever:
"""Retriever interface for policy document search."""
FAQ_URL = (
"https://storage.googleapis.com/benchmarks-artifacts/travel-db/swiss_faq.md"
)
class VectorStoreRetriever:
"""Vector-based retrieval system for finding relevant policy documents.
This class creates and manages embeddings for policy documents and provides
methods to query the documents based on semantic similarity.
Attributes:
_arr (numpy.ndarray): Array of document embeddings.
_docs (list): List of document dictionaries.
_client (openai.Client): OpenAI client for creating embeddings.
"""
def __init__(self, embedding_model: Embeddings | str) -> None:
"""Initialize an empty Retriever.
def __init__(self, docs: list, vectors: list, oai_client) -> None:
"""Initialize the VectorStoreRetriever with documents and their embeddings.
Args:
docs (list): List of document dictionaries.
vectors (list): List of embedding vectors corresponding to the documents.
oai_client: OpenAI client instance for creating embeddings.
embedding_model: Either an embedding model instance or a model name string.
"""
self._arr = np.array(vectors)
if isinstance(embedding_model, str):
print(f"Initializing embedding model from name: {embedding_model}")
self._model = init_embeddings(embedding_model)
elif isinstance(embedding_model, Embeddings):
self._model = embedding_model
else:
raise ValueError(
"embedding must be an Embeddings instance or a model name string"
)
self._docs: list[dict] | None = None
self._arr: np.ndarray | None = None
def initialize(self) -> None:
"""Download FAQ content, split into sections, embed, and store in memory."""
print(f"Fetching FAQ content from {self.FAQ_URL}...")
response = requests.get(self.FAQ_URL)
response.raise_for_status()
faq_text = response.text
docs = [
{"page_content": section} for section in re.split(r"(?=\n##)", faq_text)
]
contents = [doc["page_content"] for doc in docs]
print("Embedding documents...")
vectors = self._model.embed_documents(contents)
self._docs = docs
self._client = oai_client
@classmethod
def from_docs(cls, docs, oai_client):
"""Create a VectorStoreRetriever from documents by generating embeddings.
Args:
docs: List of document dictionaries with a 'page_content' key.
oai_client: OpenAI client instance for creating embeddings.
Returns:
VectorStoreRetriever: A new instance with the documents and their embeddings.
"""
embeddings = oai_client.embeddings.create(
model="text-embedding-3-small", input=[doc["page_content"] for doc in docs]
)
vectors = [emb.embedding for emb in embeddings.data]
return cls(docs, vectors, oai_client)
self._arr = np.array(vectors)
print(f"Loaded and embedded {len(docs)} documents.")
def query(self, query: str, k: int = 5) -> list[dict]:
"""Query the vector store for documents similar to the query.
"""Query the retriever for top-k similar documents.
Args:
query (str): The query string to search for.
query (str): Search query.
k (int, optional): Number of top results to return. Defaults to 5.
Returns:
list[dict]: List of document dictionaries with added similarity scores,
sorted by relevance.
list[dict]: Top-k documents with similarity scores.
Raises:
RuntimeError: If retriever has not been initialized.
"""
embed = self._client.embeddings.create(
model="text-embedding-3-small", input=[query]
)
# "@" is just a matrix multiplication in python
scores = np.array(embed.data[0].embedding) @ self._arr.T
if self._docs is None or self._arr is None:
# In the tutorial, we don't want to allow a user to
# run an empty retriever by mistake.
# So while this is not a good practice in production (as an empty index
# is a valid state), we raise an error here to prevent misuse.
raise RuntimeError(
"Retriever is not initialized. "
"Please call retriever.initialize() first."
)
query_vector = np.array(self._model.embed_query(query))
scores = query_vector @ self._arr.T
top_k_idx = np.argpartition(scores, -k)[-k:]
top_k_idx_sorted = top_k_idx[np.argsort(-scores[top_k_idx])]
return [
{**self._docs[idx], "similarity": scores[idx]} for idx in top_k_idx_sorted
]
def as_tool(self, k: int = 2):
"""Return a LangChain tool for looking up policy information.
# Create a global retriever instance for policy lookups
retriever = VectorStoreRetriever.from_docs(docs, openai.Client())
Args:
k (int, optional): Number of top documents to return in the tool.
Defaults to 2.
Returns:
Callable: A LangChain tool function.
"""
retriever = self # capture self in closure
@tool
def lookup_policy(query: str) -> str:
"""Consult the company policies to check whether certain options are permitted.
Use this function to search for relevant policy information before making any flight
changes or performing other 'write' events.
Args:
query (str): The user query about policy information.
Returns:
str: Concatenated content of the most relevant policy documents.
"""
docs = retriever.query(query, k=2)
return "\n\n".join([doc["page_content"] for doc in docs])
@tool
def lookup_policy(query: str) -> str:
"""Consult company policies to check whether certain options are permitted.
Args:
query (str): The user query about policy information.
Returns:
str: Concatenated content of the most relevant policy documents.
"""
top_docs = retriever.query(query, k=k)
return "\n\n".join(doc["page_content"] for doc in top_docs)
return lookup_policy
+1
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@@ -5,6 +5,7 @@ description = "Add your description here"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain>=0.3.24",
"langchain-core>=0.3.56",
"langgraph>=0.4.1",
"openai>=1.76.2",
Generated
+507 -3
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@@ -1,9 +1,11 @@
version = 1
revision = 1
requires-python = ">=3.12"
requires-python = ">=3.10"
resolution-markers = [
"python_full_version >= '3.12.4'",
"python_full_version < '3.12.4'",
"python_full_version >= '3.12' and python_full_version < '3.12.4'",
"python_full_version == '3.11.*'",
"python_full_version < '3.11'",
]
[[package]]
@@ -20,6 +22,7 @@ name = "anyio"
version = "4.9.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "idna" },
{ name = "sniffio" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
@@ -29,6 +32,15 @@ wheels = [
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