Implemented Abstract Processing Pipeline with AI Agents

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Implemented Abstract Processing Pipeline with AI Agents

  • Day: 2025-02-08
  • Time: 16:30 to 17:50
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Abstract Processing, Ai Agents, Pipeline, Error Handling, State Management

Description

Session Goal:

The session aimed to integrate and implement an abstract processing pipeline using AI agents for structured extraction and screening of research abstracts.

Key Activities:

  • Adapted existing frameworks to incorporate abstract processing, focusing on class and function modifications for state management.
  • Developed the AbstractManager class for storing and retrieving abstracts, ensuring JSON validity and preventing duplicates.
  • Created the AbstractsState class to manage abstract processing stages, enhancing traceability.
  • Transformed ChunkHandler into AbstractProcessor to process abstracts using DOI identifiers and AI extraction functions.
  • Updated schemas and function mappings for AI agents, including the Abstract Reader and Screening Agent.
  • Implemented the Abstract Processing Pipeline with process_abstracts() and run_pipeline() functions.
  • Addressed network issues with CrossRef API by generating a mock dataset for demonstration.
  • Updated AbstractsState and AbstractManager for AI output handling, focusing on DOI-based indexing.
  • Revised process_abstracts function for improved error handling and local storage integration.
  • Fixed errors related to AbstractsState initialization and method calls in AbstractProcessor.

Achievements:

  • Successfully executed a mock abstract processing and screening workflow, demonstrating the pipeline’s capability to fetch, process, and evaluate abstracts.
  • Enhanced error handling and state management in the abstract processing functions.

Pending Tasks:

  • Validate and integrate the updated schemas and function mappings for AI agents in the production environment.
  • Resolve network issues with CrossRef API for live data fetching.

Evidence

  • source_file=2025-02-08.sessions.jsonl, line_number=5, event_count=0, session_id=92aa3410499f170ac311f9ded54c3bd0d772ae74e67397f01af2304ba87e11f9
  • event_ids: []

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