ChatPDF Backend API - extract information and chat with PDFs.
Adds a PDF from a publicly accessible URL to ChatPDF, returning a source ID for interactions. See the documentation
Convert an object to a JSON format string
Sends messages to interact with a specific PDF using its source ID. Can handle single or multiple messages for complex queries. See the documentation
Deletes one or more PDFs from ChatPDF using their source IDs. See the documentation
The ChatPDF API enables you to convert chat histories from various messaging platforms into PDFs. This utility can be a game-changer for archiving conversations, legal documentation, or creating backups of critical chats. With Pipedream, you can automate the conversion process and integrate it with countless apps to streamline chat management tasks. Think of pulling chat data from messaging apps, converting them to PDF, and then saving or sharing them—all set up to run on autopilot.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatpdf: {
type: "app",
app: "chatpdf",
}
},
async run({steps, $}) {
const data = {
"url": `https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf`,
}
return await axios($, {
method: "post",
url: `https://api.chatpdf.com/v1/sources/add-url`,
headers: {
"x-api-key": `${this.chatpdf.$auth.api_key}`,
},
data,
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})