fix: removed the unused build_capability_summary

core/framework/graph/edge.py

@@ -503,45 +503,6 @@ class GraphSpec(BaseModel):
         """Get all edges entering a node."""
         return [e for e in self.edges if e.target == node_id]
 
-    def build_capability_summary(self, from_node_id: str) -> str:
-        """Build a summary of the agent's downstream workflow phases and tools.
-
-        Walks the graph from *from_node_id* and collects all reachable nodes
-        (excluding the starting node itself) so that client-facing entry nodes
-        can inform the user about what the overall agent is capable of.
-
-        Returns:
-            A formatted string listing each downstream node's name,
-            description, and tools — or an empty string when there are
-            no downstream nodes.
-        """
-        reachable: list[Any] = []
-        visited: set[str] = set()
-        queue = [from_node_id]
-        while queue:
-            nid = queue.pop()
-            if nid in visited:
-                continue
-            visited.add(nid)
-            node = self.get_node(nid)
-            if node and nid != from_node_id:
-                reachable.append(node)
-            for edge in self.get_outgoing_edges(nid):
-                queue.append(edge.target)
-
-        if not reachable:
-            return ""
-
-        lines = [
-            "## Agent Capabilities",
-            "This agent has the following workflow phases and tools:",
-        ]
-        for node in reachable:
-            tool_str = f" (tools: {', '.join(node.tools)})" if node.tools else ""
-            lines.append(f"- {node.name}: {node.description}{tool_str}")
-
-        return "\n".join(lines)
-
     def detect_fan_out_nodes(self) -> dict[str, list[str]]:
         """
         Detect nodes that fan-out to multiple targets.

core/framework/graph/executor.py

@@ -1624,17 +1624,7 @@ class GraphExecutor:
                 node_tool_names=node_spec.tools,
             )
 
-        # Build goal context, enriched with capability summary for
-        # client-facing nodes so the LLM knows what the full agent can do.
         goal_context = goal.to_prompt_context()
-        if graph and node_spec.client_facing:
-            capability_summary = graph.build_capability_summary(graph.entry_node)
-            if capability_summary:
-                goal_context = (
-                    f"{goal_context}\n\n{capability_summary}"
-                    if goal_context
-                    else capability_summary
-                )
 
         return NodeContext(
             runtime=self.runtime,