UKGovernmentBEIS/inspect_ai
May 2026 – May 2026
1 Month active
Languages Used
Python
Technical Skills
API developmentbackend developmentdata processingtestingunit testing
herbert-apollo
PROFILE
Herbert-apollo
Worked on the UKGovernmentBEIS/inspect_ai repository to deliver two core backend features focused on data integrity and evaluation accuracy. Developed logic to handle redacted status for OpenAI content, ensuring that when content, summary, and encrypted data are present, redacted is set to False for correct reasoning content handling and replay. Enhanced the metrics recomputation process by preserving EvalResults metadata and refactoring the scoring flow to use ScorerInfo, which improved auditability and robustness when handling non-registered score names. Utilized Python for API and backend development, emphasizing data processing, unit testing, and error handling to improve maintainability and evaluation reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
322
Activity Months1
Your Network
194 peopleSame Organization
@apolloresearch.ai5
Shared Repositories
189
Work History
May 2026
3 Commits • 2 Features
May 1, 2026Month: 2026-05 — UKGovernmentBEIS/inspect_ai delivered two core feature-area improvements focused on data integrity and safe content processing: 1) Redacted status handling for OpenAI content when content, summary, and encrypted data are present; ensures redacted=False for correct reasoning content handling and replay. 2) Metrics recomputation improvements with preserved EvalResults.metadata and a ScorerInfo-based scoring flow for robust evaluation and better handling of non-registered score names. These changes reduce metric errors, improve auditing, and strengthen the scoring pipeline. Key commits: de922e49912c6f12d60601d11fc13c4790440cc1; 6299e2aac583f3c1b519cc1a0e6f33681e6cf641; d8940bdef1ffff5d0df3506438fe9215baa0eff4. Impact: higher accuracy, safer data handling, and improved maintainability. Technologies: Python, EvalResults/ScorerInfo models, registry-based scoring, enhanced error handling, changelog updates.
3 Commits • 2 Features
May 1, 2026Month: 2026-05 — UKGovernmentBEIS/inspect_ai delivered two core feature-area improvements focused on data integrity and safe content processing: 1) Redacted status handling for OpenAI content when content, summary, and encrypted data are present; ensures redacted=False for correct reasoning content handling and replay. 2) Metrics recomputation improvements with preserved EvalResults.metadata and a ScorerInfo-based scoring flow for robust evaluation and better handling of non-registered score names. These changes reduce metric errors, improve auditing, and strengthen the scoring pipeline. Key commits: de922e49912c6f12d60601d11fc13c4790440cc1; 6299e2aac583f3c1b519cc1a0e6f33681e6cf641; d8940bdef1ffff5d0df3506438fe9215baa0eff4. Impact: higher accuracy, safer data handling, and improved maintainability. Technologies: Python, EvalResults/ScorerInfo models, registry-based scoring, enhanced error handling, changelog updates.
May 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage53.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
API developmentbackend developmentdata processingtestingunit testing
Repositories Contributed To
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