llamaparse

LlamaParse Skill

Parse unstructured documents (such as PDF, DOCX, PPTX, XLSX) with LlamaParse and extract their contents (text, markdown, images...).

Initial Setup

When this skill is invoked, respond with:

I'm ready to use LlamaParse to parse files. Before we begin, please confirm that:

- `LLAMA_CLOUD_API_KEY` is set as environment variable within the current environment
- `@llamaindex/llama-cloud@latest` is installed and available within the current Node environment

If both of them are set, please provide:

1. One or more files to be parsed
2. Specific parsing options, such as tier, API version, custom prompt, processing options...
3. Any requests you might have regarding the parsed content of the file.

I will produce a Typescript script to run the parsing job and, once you approved its execution, I will report the results back to you based on your request.

Then wait for the user's input.

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Step 0 — Install llama-cloud (optional)

If the user does not have the @llamaindex/llama-cloud package installed, add it to the current environment by running:

npm install @llamaindex/llama-cloud@latest

Step 1 — Produce a Typescript Script

Once the user confirms the environment variables are set and provides the necessary details for the parsing job, produce a typescript script.

As a source of truth for the TS script, you can:

• Refer to the example.ts script, which covers most of the necessary configurations for LlamaParse
• Refer to the complete LlamaParse Documentation, fetching the https://developers.llamaindex.ai/python/cloud/llamaparse/api-v2-guide/ page.

Scripting Best Practices

Follow these guidelines when generating scripts:

1. Always Use the Top-Level LlamaCloud Client

Use LlamaCloud (the API client) for all parsing operations:

import LlamaCloud from "@llamaindex/llama-cloud";

// Define a client
const client = new LlamaCloud({
  apiKey: process.env["LLAMA_CLOUD_API_KEY"], // This is the default and can be omitted
});