eric-burel

# Commented out IPython magic to ensure Python compatibility.
# %pip install -q langgraph
# %pip install -q langgraph-checkpoint-sqlite
# Demo notebook: https://colab.research.google.com/drive/16V9TpOsLMOuU655ryerni7Hc7mni6hcU?usp=sharing

import os

from google.colab import drive
DRIVE_MOUNT_POINT = "/content/drive"
drive.mount(DRIVE_MOUNT_POINT)

eric-burel

# -*- coding: utf-8 -*-
"""LBKE Anthropic batch runner.ipynb

## Demo of calling Anthropic Batch API from a LangGraph graph

Improvements:
- an interrupt should be prefered to ending the chart when the work is pending => currently each new run to check if the batch is there will send a new message to the thread since we re-invoke the chart
- better processing responses, maybe using a MessageState/add reducer to treat the response as an assistant message added to a conversation
- as a bonus, polling the chart on a predefined frequence (useful for a quick run)
- test if it still works after the notebook is closed thanks to gdrive checkpointing

eric-burel

// npm install turndown cheerio
import TurndownService from "turndown"
import { load } from "cheerio"


async function downloadUrlAsMarkdown(url: string, selector?: string) {
    try {
        const res = await fetch(url)
        if (!res.ok) {
            throw new Error(`${url} ${res.status} ${res.statusText}`)