From 9a5cec5fcc47d48c7e3d7bc599e71a5dec2d9594 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Fri, 27 Feb 2026 01:44:34 +0000
Subject: [PATCH 1/2] Initial plan


From 5c9ccea43f6441966e8cf16aef716748a6782b51 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Fri, 27 Feb 2026 01:47:07 +0000
Subject: [PATCH 2/2] Add CHANGELOG.md with summary of 2025-26 changes

Co-authored-by: shubhobm <5998450+shubhobm@users.noreply.github.com>
---
 CHANGELOG.md | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100644 CHANGELOG.md

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+# Changelog
+
+All notable changes to this project are documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+### Changed
+
+- The `normalize_report_data` function in the `inspect` connector now sets a subject-aware `problemtype.description.value`, using "LLM" or "AI system" depending on the artifact type in the report. ([#19](https://github.com/avidml/avidtools/pull/19))
+- The `PATTERN` regex in the `inspect` connector now accepts both "LLM" and "AI system" as the subject label, so reports that were already normalized with the "AI system" wording can be re-normalized without error. ([#19](https://github.com/avidml/avidtools/pull/19))
+- `INSPECT_MODEL_PREFIXES` in `connectors/utils.py` replaces the old single-prefix constant `INSPECT_MODEL_PREFIX` to handle both "Evaluation of the LLM …" and "Evaluation of the AI system …" problem descriptions. ([#19](https://github.com/avidml/avidtools/pull/19))
+
+## [0.2.1] - 2025-06-24
+
+### Fixed
+
+- Aligned the package version in `pyproject.toml` with the `0.2.1` release tag. ([#12](https://github.com/avidml/avidtools/pull/12))
+
+## [0.2.0] - 2025-06-24
+
+### Added
+
+- Initial API documentation and project README. ([#1](https://github.com/avidml/avidtools/pull/1))
+- Tutorial notebook demonstrating usage of the data models and connectors. ([#4](https://github.com/avidml/avidtools/pull/4))
+- `inspect` connector: converts [Inspect AI](https://inspect.ai) evaluation logs (`.eval` / `.json`) into AVID `Report` objects, with an optional `normalize` step that fetches benchmark descriptions from [Inspect Evals](https://ukgovernmentbeis.github.io/inspect_evals) and enriches the report. ([#9](https://github.com/avidml/avidtools/pull/9), [#10](https://github.com/avidml/avidtools/pull/10))
+- CI/CD pipeline: lint, type-check, and test jobs run on pull requests and releases; automatic PyPI publish on GitHub release. ([#11](https://github.com/avidml/avidtools/pull/11))
+
+### Changed
+
+- Upgraded Pydantic dependency to v2 and updated all data models accordingly; switched to project-relative import paths. ([#5](https://github.com/avidml/avidtools/pull/5))
+- Applied Python version environment marker to the `typing` dependency so it is only installed on Python < 3.5, preventing conflicts with the standard-library `typing` module on modern Python versions. ([#7](https://github.com/avidml/avidtools/pull/7))
+
+[Unreleased]: https://github.com/avidml/avidtools/compare/0.2.1...HEAD
+[0.2.1]: https://github.com/avidml/avidtools/compare/0.2.0...0.2.1
+[0.2.0]: https://github.com/avidml/avidtools/commits/0.2.0