Updated context gets passed *all the way* downstream.

src/modelplane/evaluator/dag.py

@@ -181,7 +181,7 @@ def _run_traced(self, ctx: EvalContext) -> tuple[DAGOutput, set[tuple[str, str]]
         for node_name in self._ordered:
             if node_name not in reachable:
                 continue
-            run_ctx = ctx.with_parent_outputs(
+            ctx = ctx.with_parent_outputs(
                 {
                     pred: node_outputs[pred]
                     for pred in self._predecessors[node_name]
@@ -190,14 +190,14 @@ def _run_traced(self, ctx: EvalContext) -> tuple[DAGOutput, set[tuple[str, str]]
             )
             node = self._nodes[node_name]
             if isinstance(node, CacheableNodeMixin):
-                key = node.cache_key(run_ctx)
+                key = node.cache_key(ctx)
                 if key in self._node_caches[node.name]:
                     output = self._node_caches[node.name][key]
                 else:
-                    output = node.run(run_ctx)
+                    output = node.run(ctx)
                     self._node_caches[node.name][key] = output
             else:
-                output = node.run(run_ctx)
+                output = node.run(ctx)
             node_outputs[node_name] = output
             total_cost += output.realized_cost
             if isinstance(output.value, Verdict):

tests/unit/evaluator/mocks.py

@@ -132,6 +132,13 @@ def output_tokens(self, ctx: EvalContext) -> int:
         return context_token_count(ctx)
 
 
+class NoOpEnricher(Enricher):
+    """Passes context through without changing it."""
+
+    def run(self, ctx: EvalContext) -> NodeOutput:
+        return self.build_output(None, ctx)
+
+
 class FixedScorer(Enricher):
     """Returns a fixed float score regardless of context."""
 

tests/unit/evaluator/test_dag.py

@@ -11,8 +11,15 @@
 from modelplane.evaluator.safety import Safety
 
 from .conftest import skip_in_ci
-from .mocks import AlwaysTrueCacheable
-
+from .mocks import (
+    AlwaysSafe,
+    AlwaysTrue,
+    AlwaysTrueCacheable,
+    LowerCaser,
+    LowerCaseScorer,
+    NoOpEnricher,
+    ThresholdArbiter,
+)
 
 def test_dag_outputs(simple_dag):
     assert simple_dag.verdict_type == Safety
@@ -182,6 +189,29 @@ def test_dag_run(simple_dag, sample_ctx):
     assert dag_output.verdict.name == "UNSAFE"
 
 
+def test_dag_passes_updated_context_to_downstream_nodes():
+    ctx = EvalContext(prompt="x", response="HELLO")
+    dag = (
+        Composer("ctx_update", verdict_type=Safety)
+        .add_node(
+            AlwaysTrue(
+                name="always_true",
+                routes_true=["lower_caser"],
+                routes_false=["always_safe"],
+            )
+        )
+        .add_node(AlwaysSafe(name="always_safe"))
+        .add_node(LowerCaser(name="lower_caser", routes=["noop"]))
+        .add_node(NoOpEnricher(name="noop", routes=["lower_scorer"]))
+        .add_node(LowerCaseScorer(name="lower_scorer", routes=["threshold_arbiter"]))
+        .add_node(ThresholdArbiter(name="threshold_arbiter", threshold=0.5))
+    )
+    dag_output = dag.run(ctx)
+    assert dag_output.node_outputs["lower_caser"].updated_ctx.response == "hello"
+    # Scorer reads ctx.response; 1.0 only if it saw the lowercased update from lower_caser.
+    assert dag_output.node_outputs["lower_scorer"].value == pytest.approx(1.0)
+
+
 def test_dag_run_with_dataframe(simple_dag, tmp_path):
     # "hello world" (space lowers avg below threshold) → safe
     # "helloworld"  (no space, avg = 0.5 = threshold)  → unsafe