Hermes Pipeline
28 lines
1.5 KiB
JSON
28 lines
1.5 KiB
JSON
{
|
|
"name": "research-pipeline",
|
|
"version": "1.0.0",
|
|
"goal": "Fetch a Wikipedia page, summarise it 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 (NIM_MODEL, require_nim_api_key) and blacknode",
|
|
"Step 2: Require NVIDIA NIM API key using `require_nim_api_key()`",
|
|
"Step 3: Create a Graph instance `g`",
|
|
"Step 4: Add a Literal node for the URL of the Wikipedia page (`url`)",
|
|
"Step 5: Add an HTTPGet node to fetch the content from the URL (`fetcher`) and connect it to the Literal node",
|
|
"Step 6: Add an LLMAgent node with system prompt 'You are a technical writer. Summarise the text in 3 bullet points.' and model NIM_MODEL (`summarise`), connecting its input to the output of `fetcher`",
|
|
"Step 7: Add a FileWrite node to write the summary to a file named 'summary.txt' (`writer`), connecting its input to the output of `summarise`",
|
|
"Step 8: Cook the graph starting from the writer node and print the path where the summary is written"
|
|
],
|
|
"outputs": [
|
|
"Path to the summary file"
|
|
],
|
|
"failure_modes": [
|
|
"If the URL is invalid, HTTPGet will fail; if NIM API key is missing, LLMAgent will not function properly"
|
|
],
|
|
"confidence": 0.95,
|
|
"explanation": "This workflow can be adapted to fetch and summarise any text from a URL using an AI agent and save the summary to a file.",
|
|
"source_repo": "https://github.com/temiroff/Blacknode.git",
|
|
"score": 1.0
|
|
} |