实现Agent对话，合格自动提交，不合格补充材料的能力

scripts/debug_stream_fields.py

@@ -0,0 +1,69 @@
+"""诊断脚本：检查 stream_chat 返回对象的字段结构"""
+
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent))
+
+# 加载 .env
+from dotenv import load_dotenv  # noqa: E402
+from llama_index.core.llms import ChatMessage  # noqa: E402
+
+from src.config import get_llm_config  # noqa: E402
+from src.doc.llm_extractor import _create_llm  # noqa: E402
+
+load_dotenv(Path(__file__).parent / ".env")
+
+llm_config = get_llm_config()
+print(f"LLM config: model={llm_config['model']}, api_base={llm_config['api_base']}")
+
+llm = _create_llm()
+messages = [
+    ChatMessage(role="system", content="你是一个助手"),
+    ChatMessage(role="user", content="1+1 等于几？"),
+]
+
+print("\n=== 检查 stream_chat 返回对象的字段 ===")
+count = 0
+try:
+    for resp in llm.stream_chat(messages, temperature=0.1):
+        count += 1
+        if count <= 3:
+            print(f"\n--- chunk #{count} ---")
+            print(f"  type: {type(resp).__name__}")
+            print(f"  delta: {repr(resp.delta)[:200]}")
+            if hasattr(resp, "additional_kwargs") and resp.additional_kwargs:
+                print(f"  additional_kwargs keys: {list(resp.additional_kwargs.keys())}")
+                for k, v in resp.additional_kwargs.items():
+                    val_preview = str(v)[:200]
+                    print(f"    additional_kwargs['{k}']: {val_preview}")
+            if hasattr(resp, "raw"):
+                raw = resp.raw
+                if isinstance(raw, dict):
+                    print(f"  raw keys: {list(raw.keys())}")
+                    for k, v in raw.items():
+                        val_preview = str(v)[:200]
+                        print(f"    raw['{k}']: {val_preview}")
+                else:
+                    print(f"  raw type: {type(raw)}")
+            if hasattr(resp, "message") and resp.message:
+                msg = resp.message
+                print(f"  message type: {type(msg).__name__}")
+                if hasattr(msg, "additional_kwargs") and msg.additional_kwargs:
+                    print(f"  message.additional_kwargs keys: {list(msg.additional_kwargs.keys())}")
+                    for k, v in msg.additional_kwargs.items():
+                        val_preview = str(v)[:200]
+                        print(f"    message.additional_kwargs['{k}']: {val_preview}")
+                if hasattr(msg, "reasoning_content"):
+                    rc = msg.reasoning_content
+                    print(f"  message.reasoning_content: {repr(rc)[:200]}")
+        elif count == 4:
+            print("\n... (更多 chunk 省略)")
+        if count >= 10:
+            break
+    print(f"\n=== 共收到 {count} 个 chunk ===")
+except Exception as e:
+    print(f"\n错误: {e}")
+    import traceback
+
+    traceback.print_exc()