Add utility functions for DSPy-based judge optimizers#1
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- Add judge_trace_utils.py for extracting data from MLflow traces - Add dspy_utils.py for DSPy conversion and metric functions - Create optimizers package structure These utilities provide common functionality for DSPy-based alignment optimizers to convert MLflow traces to DSPy examples and create optimization metrics. Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
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Signed-off-by: B-Step62 <yuki.watanabe@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 utility functions needed for DSPy-based alignment optimizers.
Changes
judge_trace_utils.pyfor extracting data from MLflow tracesdspy_utils.pyfor DSPy conversion and metric functionsDescription
These utilities provide common functionality for DSPy-based alignment optimizers to convert MLflow traces to DSPy examples and create optimization metrics.
This is the first PR in a stack of 3 PRs that refactor the optimizer code:
Test plan
uv run ruff checkuv run ruff formatGenerated with Claude Code