{
  "name": "research-pipeline",
  "version": "1.0.0",
  "goal": "Fetch a Wikipedia page, summarise its content using an AI agent, and write the summary to a file.",
  "inputs": [
    "URL of the Wikipedia page"
  ],
  "steps": [
    "Step 1: Import necessary modules from `_bootstrap` and `blacknode`: Run `from _bootstrap import NIM_MODEL, require_nim_api_key; import blacknode as bn`",
    "Step 2: Require NVIDIA NIM API key: Call `require_nim_api_key()` to ensure the API key is set.",
    "Step 3: Create a graph instance: Initialize `g = bn.Graph()`.",
    "Step 4: Add nodes for URL, HTTPGet, summarisation, and file writing: `url = g.node('Literal', value='URL of the Wikipedia page'); fetcher = g.node('HTTPGet'); summarise = g.node('LLMAgent', system='You are a technical writer. Summarise the text in 3 bullet points.', model=NIM_MODEL); writer = g.node('FileWrite', path='summary.txt')`",
    "Step 5: Connect nodes with edges: `url.out('value') >> fetcher.inp('url'); fetcher.out('text') >> summarise.inp('prompt'); summarise.out('text') >> writer.inp('text')`",
    "Step 6: Cook the graph to execute and get output: `result = g.cook(writer, 'path'); print(f'Summary written to: {result}')`"
  ],
  "outputs": [
    "Path of the summary file"
  ],
  "failure_modes": [
    "If the URL is invalid or unreachable, the HTTPGet node will fail; if the summarisation fails, the output text might be empty"
  ],
  "confidence": 0.95,
  "explanation": "This workflow can be adapted to fetch and summarise any Wikipedia page or similar content source.",
  "source_repo": "https://github.com/temiroff/Blacknode.git",
  "score": 1.0
}