Add DSPyAlignmentOptimizer base class for DSPy-based optimizers#2
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Add DSPyAlignmentOptimizer base class for DSPy-based optimizers#2alkispoly-db wants to merge 1 commit intodefault_optimizer_utilsfrom
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- Add abstract base class for DSPy-based alignment optimizers - Implement common functionality for trace conversion and DSPy setup - Provide align() method orchestrating the optimization process - Support separate model parameter for optimizer independence - Export DSPyAlignmentOptimizer from optimizers package This base class provides the foundation for implementing specific DSPy optimization algorithms like SIMBA, MIPROv2, etc. Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
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Closing to recreate against correct base branch |
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Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Signed-off-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: Daniel Lok <daniel.lok@databricks.com>
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Implements 6 of 9 review comments from smoorjani: **API Simplification (Comment #1):** - Remove last_turn_scorer parameter from public API - Simplify constructor to use default Pydantic initialization - Parameter kept as internal field for composition pattern **Code Quality (Comments #3, mlflow#6, mlflow#8):** - Remove duplicated kwargs validation (already in base class) - Remove unnecessary one-line docstring from _evaluate_turn - Use CategoricalRating enum instead of string literals ("yes"/"no") **Logic Improvements (Comments mlflow#7, mlflow#9):** - Move empty results check from _compute_aggregate to __call__ - Add per-turn details for success case (symmetric with failure case) **Code Reuse Analysis (Comments mlflow#4, mlflow#5):** - Researched _validate_session: serves different purpose (session ID validation) - Researched resolve_conversation_from_session: returns different type (list[dict]) - Keeping inline implementations as they serve different purposes **Deferred (Comment #2):** - _create_judge() architecture issue deferred per reviewer (non-blocking) All 5 KnowledgeRetention tests passing. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
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- Refactor _ToggleableSpanProcessor from inheritance to composition, wrapping MlflowV3SpanProcessor as inner processor (comment mlflow#5) - Add Langfuse and Arize/Phoenix to integration tiles (comment #2) - Simplify arize.mdx span type mapping to 1-to-1 note (comment #3) - Remove standalone otel.mdx; existing OTel docs suffice (comment mlflow#4) - Verified None preview works against Databricks backend (comment #1) Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
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Summary
This PR adds the abstract base class for DSPy-based alignment optimizers.
Changes
DSPyAlignmentOptimizerabstract base classalign()method orchestrating the optimization processDescription
This base class provides the foundation for implementing specific DSPy optimization algorithms like SIMBA, MIPROv2, etc. It handles common tasks like converting MLflow traces to DSPy examples, setting up DSPy contexts, and creating optimized judges from results.
This is the second PR in a stack of 3 PRs that refactor the optimizer code:
Test plan
uv run ruff checkuv run ruff formatGenerated with Claude Code