Initial commit: MLflow dashboard project

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

routers/experiments.py

@@ -0,0 +1,21 @@
+from typing import List, Optional
+from fastapi import APIRouter, Query
+from schemas import ExperimentSummary, RunSummary
+from services import mlflow_service
+
+router = APIRouter()
+
+
+@router.get("/experiments", response_model=List[ExperimentSummary])
+def list_experiments(
+    tracking_uri: Optional[str] = Query(None, description="MLflow Tracking URI"),
+):
+    return mlflow_service.get_experiments(tracking_uri)
+
+
+@router.get("/experiments/{exp_id}/runs", response_model=List[RunSummary])
+def list_runs(
+    exp_id: str,
+    tracking_uri: Optional[str] = Query(None, description="MLflow Tracking URI"),
+):
+    return mlflow_service.get_runs(tracking_uri, exp_id)