Documentation Index
Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
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AI Context Enricher
Enrich news articles with background context, prior art references, stakeholder analysis, and hype detection.
CLI Quickstart
praisonai recipe run ai-context-enricher \
--input '{"articles": [...]}' \
--json
Use in Your App (SDK)
import sys
sys.path.insert(0, 'agent_recipes/templates/ai-context-enricher')
from tools import enrich_article, add_background, detect_hype
# Enrich single article
enriched = enrich_article(article)
# Add background context
with_background = add_background(article)
# Detect hype level
hype_analysis = detect_hype(article["content"])
{
"type": "object",
"properties": {
"articles": {"type": "array"},
"include_background": {"type": "boolean", "default": true},
"include_prior_art": {"type": "boolean", "default": true},
"include_stakeholders": {"type": "boolean", "default": true},
"detect_hype": {"type": "boolean", "default": true}
}
}
Output Schema
{
"enriched_articles": [
{
"title": "...",
"background": "Historical context...",
"prior_art": ["Related work 1", "Related work 2"],
"stakeholders": ["Company A", "Researcher B"],
"hype_score": 0.7,
"hype_indicators": ["buzzwords", "unverified claims"]
}
]
}
Environment Variables
| Variable | Required | Description |
|---|
| OPENAI_API_KEY | Yes | For LLM analysis |