fix(agent): reuse collected vehicle counts and avoid repeated questions

test/agent/test_workflow_prompts.py

@@ -1,4 +1,4 @@
-"""20261020 工作流的提示词移植与模型决策回归。"""
+"""工作流提示词同步、运行时上下文与模型决策回归。"""
 
 from datetime import datetime, timezone
 import json
@@ -10,7 +10,7 @@ from src.agent.collect import CollectReplyError, run_collect
 from src.agent.llm import FakeLLMService
 from src.agent.prompts import COLLECTION, load_prompt, render_prompt
 
-WORKFLOW = Path(__file__).resolve().parents[2] / "workflow/20261022/事故信息采集2025118.json"
+WORKFLOW = Path(__file__).resolve().parents[2] / "workflow/20261027/事故信息采集2025118.json"
 NODES = {
     "collection": "事故信息收集",
     "single_photo": "单车拍照",
@@ -52,13 +52,30 @@ def test_user_message_carries_turn_context():
     from src.agent.collect import _build_user_message
     from datetime import datetime, timezone
     now = datetime(2026, 10, 22, 8, 0, tzinfo=timezone.utc)
-    message = _build_user_message({"input_text": "两辆"}, now=now)
+    form = {"vehicle_count": 0, "has_injury": False, "is_on_scene": False}
+    message = _build_user_message({"input_text": "两辆", "accident_fields": form}, now=now)
     assert "<turn_context>" in message
+    form_line = next(line for line in message.splitlines() if line.startswith("form："))
+    assert json.loads(form_line.removeprefix("form：")) == form
+    unfilled_line = next(line for line in message.splitlines() if line.startswith("form_unfilled_fields："))
+    assert json.loads(unfilled_line.removeprefix("form_unfilled_fields：")) == [
+        "accident_cause", "has_non_motor_vehicle_hit", "accident_time",
+    ]
+    empty_message = _build_user_message({"input_text": "两辆"}, now=now)
+    assert "form_unfilled_fields" not in empty_message
     assert "本轮参考时间：2026-10-22 08:00:00 +0000" in message
     assert "<user_input>" in message
     assert "两辆" in message
 
 
+def test_workflow_collection_receives_form_in_user_context():
+    workflow = json.loads(WORKFLOW.read_text(encoding="utf-8-sig"))
+    node = next(n for n in workflow["nodes"] if n["name"] == "事故信息收集")
+    message = next(i["value"] for i in node["inputs"] if i["key"] == "userChatInput")
+    context = message.split("</turn_context>", 1)[0]
+    assert "form：{{$VARIABLE_NODE_ID.bNJkeXot$}}" in context
+
+
 @pytest.mark.asyncio
 async def test_short_answer_does_not_override_model_routing():
     # “在”可能是明确回答；运行时不得按字数一律拒绝分流。