Add documentation for milestone 1 of multi-turn evaluation support#19033
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smoorjani merged 6 commits intomlflow:masterfrom Dec 4, 2025
Merged
Add documentation for milestone 1 of multi-turn evaluation support#19033smoorjani merged 6 commits intomlflow:masterfrom
smoorjani merged 6 commits intomlflow:masterfrom
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Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
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Documentation preview for c10a8f3 is available at: Changed Pages (3)
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AveshCSingh
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Dec 2, 2025
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Overall, the docs are clear and helpful. I've left a few suggestions inline.
Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
AveshCSingh
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B-Step62
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LGTM! Left minor comments for style consistency.
| :::info[Experimental Feature] | ||
| Multi-turn evaluation is experimental in MLflow 3.7.0. The API and behavior may change in future releases. | ||
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Can we add the same preresuiqite + workflow diagram section similarly to the other guide, for consistency? Should be pretty quick.
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| <ImageBox src="/images/genai/sessions-view-ui.png" alt="Sessions View UI" width="95%"/> | ||
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| To evaluate conversations, get traces from your experiment and pass them to `mlflow.genai.evaluate`: |
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Can we add a link to the search trace guide? https://mlflow.org/docs/latest/genai/tracing/search-traces/
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| - **No `predict_fn` support**: Multi-turn scorers currently work only with pre-collected traces. You cannot use them with `predict_fn` in `mlflow.genai.evaluate`. | ||
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| ## Next Steps |
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Can we use the card components similarly to the other pages for style consistency?
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…lflow#19033) Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
BenWilson2
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…19033) Signed-off-by: Samraj Moorjani <samraj.moorjani@databricks.com>
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#xxxWhat changes are proposed in this pull request?
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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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