feat(chat): 支持流式回复与用户节点导航

review_agent/llm.py

@@ -53,6 +53,57 @@ def generate_reply(conversation, user_message: str) -> str:
         raise LLMRequestError("模型接口返回格式不符合预期。") from exc
 
 
+def stream_reply(conversation, user_message: str):
+    """Streams incremental assistant text from the SiliconFlow chat endpoint."""
+
+    if not settings.LLM_API_KEY:
+        raise LLMConfigurationError("缺少 LLM_API_KEY 配置。")
+    if not settings.LLM_MODEL:
+        raise LLMConfigurationError("缺少 LLM_MODEL 配置。")
+
+    payload = {
+        "model": settings.LLM_MODEL,
+        "messages": build_messages(conversation, user_message),
+        "temperature": 0.3,
+        "stream": True,
+    }
+    body = json.dumps(payload).encode("utf-8")
+    endpoint = f"{settings.LLM_BASE_URL.rstrip('/')}/chat/completions"
+
+    http_request = request.Request(
+        endpoint,
+        data=body,
+        headers={
+            "Authorization": f"Bearer {settings.LLM_API_KEY}",
+            "Content-Type": "application/json",
+        },
+        method="POST",
+    )
+
+    try:
+        with request.urlopen(http_request, timeout=300) as response:
+            for raw_line in response:
+                line = raw_line.decode("utf-8", errors="ignore").strip()
+                if not line or not line.startswith("data:"):
+                    continue
+                data = line[5:].strip()
+                if data == "[DONE]":
+                    break
+                payload = json.loads(data)
+                delta = (
+                    payload.get("choices", [{}])[0]
+                    .get("delta", {})
+                    .get("content", "")
+                )
+                if delta:
+                    yield delta
+    except error.HTTPError as exc:
+        details = exc.read().decode("utf-8", errors="ignore")
+        raise LLMRequestError(f"模型接口调用失败：HTTP {exc.code} {details}") from exc
+    except error.URLError as exc:
+        raise LLMRequestError(f"模型接口调用失败：{exc.reason}") from exc
+
+
 def build_messages(conversation, latest_user_message: str) -> list[dict[str, str]]:
     """Builds system and conversation history messages for the provider call."""