Wire gaps that were forgotten

src/haiku/rag/research/models.py

@@ -37,6 +37,9 @@ class EvaluationResult(BaseModel):
         max_length=3,
         default=[],
     )
+    gaps: list[str] = Field(
+        description="Concrete information gaps that remain", default_factory=list
+    )
     confidence_score: float = Field(
         description="Confidence level in the completeness of research (0-1)",
         ge=0.0,

src/haiku/rag/research/nodes/evaluate.py

@@ -57,6 +57,8 @@ class EvaluateNode(BaseNode[ResearchState, ResearchDeps, ResearchReport]):
         for new_q in output.new_questions:
             if new_q not in state.context.sub_questions:
                 state.context.sub_questions.append(new_q)
+        for gap in output.gaps:
+            state.context.add_gap(gap)
 
         state.last_eval = output
         state.iterations += 1
@@ -65,6 +67,10 @@ class EvaluateNode(BaseNode[ResearchState, ResearchDeps, ResearchReport]):
             log(deps, state, "   [bold]Key insights:[/bold]")
             for ins in output.key_insights:
                 log(deps, state, f"   • {ins}")
+        if output.gaps:
+            log(deps, state, "   [bold yellow]Remaining gaps:[/bold yellow]")
+            for gap in output.gaps:
+                log(deps, state, f"   • {gap}")
         log(
             deps,
             state,

tests/test_research_graph_integration.py

@@ -53,11 +53,13 @@ async def test_graph_end_to_end_with_patched_nodes(monkeypatch):
         ctx.state.last_eval = EvaluationResult(
             key_insights=["ok"],
             new_questions=[],
+            gaps=["gap"],
             confidence_score=1.0,
             is_sufficient=True,
             reasoning="done",
         )
         ctx.state.iterations += 1
+        ctx.state.context.add_gap("gap")
         ctx.deps.emit_log("evaluated", ctx.state)
         return SynthesizeNode(self.provider, self.model)