Add simulation_guidelines field to conversation simulation#20449
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smoorjani merged 5 commits intomlflow:masterfrom Feb 11, 2026
Merged
Add simulation_guidelines field to conversation simulation#20449smoorjani merged 5 commits intomlflow:masterfrom
smoorjani merged 5 commits intomlflow:masterfrom
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mlflow/genai/simulators/simulator.py
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| persona: str | ||
| conversation_history: list[dict[str, Any]] | ||
| turn: int | ||
| simulation_guidelines: str | None = None |
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I'm reading this example in slack:
"simulation_guidelines": [
"In the first user turn, you should not specify any time period of your query.",
"In the first user turn, you should not specify whether you want percentages or absolutes.",
]
Do we prefer list of strings or strings for simulation_guidelines? And also in this example, I'm not sure the user agent directly have information of which turn is the current turn (maybe it is able to infer it from conversation history). But we need to worry about the case where guideline is specific to the turn number or other metadata?
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Good call! I think list of strings makes most sense, but we can support str as syntactic sugar.
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dbczumar
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@smoorjani LGTM once:
- Comments are addressed
- We add an example of how to use this field to the MLflow GenAI docs
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Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
- Add simulation_guidelines field to generate_test_cases distillation - Add guidance in simulator prompts clarifying guidelines describe user behavior, not assistant behavior (fixes role confusion) - Update distillation prompt to extract information withholding patterns, implicit expectations, and pacing from conversations Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
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…st_cases description Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
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area/tracking: Tracking Service, tracking client APIs, autologgingarea/models: MLmodel format, model serialization/deserialization, flavorsarea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/evaluation: MLflow model evaluation features, evaluation metrics, and evaluation workflowsarea/gateway: MLflow AI Gateway client APIs, server, and third-party integrationsarea/prompts: MLflow prompt engineering features, prompt templates, and prompt managementarea/tracing: MLflow Tracing features, tracing APIs, and LLM tracing functionalityarea/projects: MLproject format, project running backendsarea/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesHow should the PR be classified in the release notes? Choose one:
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