feat: make workflow messages resumable

backend/services/node_specs.py

@@ -10,7 +10,7 @@ from typing import Any
 SPEC_VERSION = "3"
 NODE_TYPES = {"start", "agent", "message", "action", "handoff", "end"}
 EDGE_MODES = {"llm", "expression", "always"}
-AGENT_ENTRY_MODES = {"wait_user", "generate", "fixed_speech"}
+AGENT_ENTRY_MODES = {"wait_user", "generate"}
 ACTION_RESULT_ASSIGNMENT_MODES = {"inherit", "override", "none"}
 ACTION_USER_INPUT_POLICIES = {"queue", "block"}
 AUTOMATIC_NODE_TYPES = {"start", "message", "action", "handoff"}
@@ -149,10 +149,11 @@ def _edge_data_v3(edge: dict) -> dict:
 
 
 def _normalize_agent_data(data: dict[str, Any]) -> None:
-    """Add v3 Agent defaults without changing existing node-level behavior."""
+    """Keep Agent entry focused on conversation, not fixed interaction."""
     data.setdefault("contextPolicy", "inherit")
-    data.setdefault("entryMode", "wait_user")
-    data.setdefault("entrySpeech", "")
+    if data.get("entryMode") not in AGENT_ENTRY_MODES:
+        data["entryMode"] = "wait_user"
+    data.pop("entrySpeech", None)
     if "inheritGlobalConfig" not in data:
         has_node_overrides = any(
             (
@@ -300,7 +301,6 @@ def normalize_graph(graph: dict[str, Any] | None) -> dict[str, Any]:
                     "contextPolicy": "inherit",
                     "inheritGlobalConfig": True,
                     "entryMode": "wait_user",
-                    "entrySpeech": "",
                 },
             }
         )
@@ -376,10 +376,6 @@ def validate_graph(graph: dict[str, Any]) -> list[str]:
             entry_mode = data.get("entryMode", "wait_user")
             if entry_mode not in AGENT_ENTRY_MODES:
                 errors.append(f"Agent 节点 {node_id} 的进入模式无效:{entry_mode}")
-            elif entry_mode == "fixed_speech" and not str(
-                data.get("entrySpeech") or ""
-            ).strip():
-                errors.append(f"Agent 节点 {node_id} 的固定进入语不能为空")
         elif node_type == "message":
             data = node.get("data") or {}
             speech = data.get("speech")