LatteReview Skill
This skill integrates the LatteReview framework to allow Agent Zero to perform PhD-level systematic reviews.
Capabilities
- •Screening: Filter papers based on inclusion/exclusion criteria.
- •Scoring: Verify relevance with confidence scores.
- •Abstraction: Extract structured data points from papers.
Usage in Agent Zero
python
from agent_zero.skills.latte_review import get_latte_review
latte = get_latte_review()
# Define Criteria
inclusion = "Studies using AI for drug discovery in oncology."
exclusion = "Review articles, non-English papers."
# Run Screening
output_csv = latte.screen_papers(
input_path="data/papers/candidates.csv", # Must have 'title' and 'abstract' columns
inclusion_criteria=inclusion,
exclusion_criteria=exclusion
)
print(f"Screening complete. Results saved to {output_csv}")
Configuration
The skill uses LiteLLM under the hood. It will inherit the API keys from the Agent Zero environment (e.g., OPENAI_API_KEY, GEMINI_API_KEY).