Feature/476 llm test generation#580
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July 25, 2026 08:55
- Add LLM feature definitions (embeddings, scores, meta) - Add embedding feature computers (transaction, account, alert) - Add scoring feature computers (fraud, confidence, uncertainty) - Add LLM feature generator orchestration - Add LLM feature integration layer with materialized views - Add feature computation using LLM providers - Add pipeline integration for LLM features - Update features/ and llm/ package exports Closes Traqora#467
- Add entry point group in pyproject.toml for astroml.feature_computers - Add plugin discovery in FeatureRegistry via importlib.metadata - Add plugin discovery in ComputationEngine for BaseFeatureComputer plugins - Add plugin validation (required methods check) - Add plugin registration API with source tracking - Add example external plugin in examples/plugin_example.py - Add list_plugin_computers() API to ComputationEngine Closes Traqora#574
- Add fine-tuning pipeline orchestration with data prep, training, eval - Add dataset preparation with validation, splitting, and formatting - Add trainer wrapper supporting OpenAI, Anthropic, and LoRA/QLoRA - Add evaluator with baseline comparison and A/B testing - Add fine-tuned model registry with versioning and rollback - Add default fine-tuning config YAML for all targets - Support fraud explanation, SQL gen, transaction classification, chatbot Closes Traqora#468
- Add test generation orchestrator with multiple test types - Add code analysis strategy (function extraction, branch detection) - Add docstring parsing strategy (examples, params, return values) - Add type-based strategy (hypothesis strategies, boundary values) - Add assertion generator with templates and type mapping - Add fixture generator (pytest, SQLAlchemy, mocks) - Add test quality reviewer with scoring and suggestions - Add CLI tool for test generation - Support unit, integration, property-based, edge case, regression tests Closes Traqora#476
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Closes #580 |
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Closes #468
Closes #574
Closes #467
Closes #476
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