Revert diagnostic CI probes in ci.yml

Co-authored-by: Isaac

Author: AarushiShah-db

.github/workflows/ci.yml

@@ -60,38 +60,3 @@ jobs:
       # independent and one shouldn't mask the other.
       - if: ${{ !cancelled() }}
         run: uv run --extra tracing pytest tests/test_e2e_tracing.py -v < /dev/null
-      # Diagnostic: the Claude Stop hook writes its trace-creation log to
-      # $cwd/.claude/mlflow/claude_tracing.log. If the tracing test failed
-      # because no root `claude_code_conversation` span landed, this shows
-      # whether the hook fired on the runner and what its MLflow write did.
-      - if: ${{ failure() }}
-        name: Dump Claude tracing hook log
-        run: |
-          echo "=== claude_tracing.log ==="
-          cat .claude/mlflow/claude_tracing.log 2>/dev/null || echo "(no hook log — Stop hook never ran)"
-          echo "=== installed claude-code + mlflow CLI ==="
-          claude --version || true
-          "$(uv tool dir --bin)/mlflow" --version || true
-      # Diagnostic: reproduce the client-side span export from the runner with
-      # verbose logging. The hook's `log_spans` failure is logged at WARNING to
-      # mlflow's own logger (not the hook file log), so surface it directly to
-      # see why the root span never reaches the trace server from CI.
-      - if: ${{ failure() }}
-        name: Probe MLflow span export (3.11.1 vs 3.12.0)
-        env:
-          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_BEARER }}
-        run: |
-          for V in 3.11.1 3.12.0; do
-            echo "=== probing mlflow==$V ==="
-            uv run --with "mlflow[databricks]==$V" python - "$V" <<'PY' 2>&1 | grep -iE "probe|trace_id|version|error|exception|Failed to log" || true
-          import sys, mlflow
-          v = sys.argv[1]
-          mlflow.set_tracking_uri("databricks")
-          mlflow.set_experiment(experiment_id="2190569664060193")
-          print("mlflow version", mlflow.__version__)
-          with mlflow.start_span(name=f"ci_probe_{v.replace('.','_')}") as span:
-              span.set_inputs({"v": v})
-              print("trace_id", span.trace_id)
-          mlflow.flush_trace_async_logging()
-          PY
-          done