partial implementation from release/2.8.0#1237
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chakravarthik27 merged 16 commits intomainfrom Apr 22, 2026
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… to SDK version changes
…luation-broken-due-to-openai-sdk-update fix: embedding based evaluation using openai sdk
- Bump Python version requirement from >=3.9,<4.0 to >=3.12,<4.0 - Update mlflow version requirement from 3.1.1 to >=3.10.1
…ity-issues Fix/vulnerabilities and security issues
blidiselalin
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Apr 22, 2026
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Lot of works and changes, looks good on working on the new python versions and libraries updated
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This pull request introduces several important updates across the codebase, focusing on compatibility with newer Python versions, refactoring type definitions for configuration, and updating dependencies to match evolving external APIs. The main changes include upgrading CI pipelines to Python 3.12 and 3.13, refactoring
TypedDictusages for test configurations, updating the OpenAI embeddings integration, and switching from the deprecatedlangchainpackage tolangchain_classic.Python Version and CI Pipeline Updates:
build_and_test.yml,llm_tests_build.yml,release.yaml) to test and build against Python 3.12 and 3.13, removing support for older versions. [1] [2] [3]Configuration Type Refactoring:
TypedDictusages for test configuration classes (e.g.,BaseAccuracy,LLMEval,BaseBias,BaseClinical,DisinformationTestFactory,FactualityTestFactory,BaseFairness,MinGenderF1Score,MaxGenderF1Score,MinGenderRougeScore,MaxGenderRougeScore,MinGenderLLMEval,MaxGenderLLMEval,BaseGrammar,LegalTestFactory,BasePerformance) to use dictionary-style syntax for field definitions, improving compatibility and clarity. Introduced a newGenderedConfigtype for gender-related fairness tests. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17]Dependency and API Updates:
langtest/embeddings/openai.pyto use the newopenai.ClientAPI and default to thetext-embedding-3-smallmodel. Removed deprecated API key assignment. [1] [2]langchainpackage withlangchain_classicthroughout the codebase, including in model handler modules, to ensure ongoing compatibility. [1] [2] [3]General Code Quality Improvements:
type(x) == ychecks withisinstance(x, y)for more robust type checking in several locations. [1] [2] [3] [4]build_promptto use more readable string concatenation.These changes collectively modernize the codebase, improve maintainability, and ensure compatibility with the latest versions of Python and key dependencies.