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Samira Nedungadi

PROFILE

Samira Nedungadi

Developed a customizable feedback feature for the Basic Agent in the UKGovernmentBEIS/inspect_ai repository, enabling more context-aware responses to invalid submissions. The solution introduced an incorrect_message parameter that accepts either a string or a callable function, allowing for dynamic and personalized feedback without breaking existing API compatibility. This enhancement was implemented using Python and involved agent development, code refactoring, and thorough testing to ensure reliability. By supporting both static and programmatic feedback, the update improved user guidance and reduced unnecessary retry attempts, laying the groundwork for future personalization and more precise data validation within the agent’s workflow.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
104
Activity Months1

Your Network

189 people

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

November 2024: Implemented Customizable Feedback for Basic Agent in inspect_ai. Enhanced Basic Agent by adding customizable incorrect_message that can be a string or a callable function, enabling context-aware feedback for invalid submissions. This change improves user guidance, reduces retry attempts, and supports future personalization. Work tracked under commit f2fa3b620749956b7c698277c0b4e531ab9198cb ("Support custom incorrect messages in basic_agent (#846)").

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

Agent DevelopmentCode RefactoringPythonTesting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

UKGovernmentBEIS/inspect_ai

Nov 2024 Nov 2024
1 Month active

Languages Used

MarkdownPython

Technical Skills

Agent DevelopmentCode RefactoringPythonTesting