Merge branch 'master' of https:/mlot/langchain

docs/extras/modules/model_io/models/llms/integrations/chatglm.ipynb

@@ -55,7 +55,11 @@
  " history=[[\"我将从美国到中国来旅游，出行前希望了解中国的城市\", \"欢迎问我任何问题。\"]],\n",
  " top_p=0.9,\n",
  " model_kwargs={\"sample_model_args\": False},\n",
- ")"
+ ")\n",
+ "\n",
+ "# turn on with_history only when you want the LLM object to keep track of the conversation history \n",
+ "# and send the accumulated context to the backend model api, which make it stateful. By default it is stateless.\n",
+ "# llm.with_history = True"
  ]
  },
  {
@@ -95,22 +99,6 @@
  "\n",
  "llm_chain.run(question)"
  ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "By Default, ChatGLM is statful to keep track of the conversation history and send the accumulated context to the model. To enable stateless mode, we could set ChatGLM.with_history as `False` explicitly."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "llm.with_history = False"
- ]
  }
  ],
  "metadata": {

langchain/llms/chatglm.py

@@ -37,7 +37,7 @@ class ChatGLM(LLM):
  """History of the conversation"""
  top_p: float = 0.7
  """Top P for nucleus sampling from 0 to 1"""
- with_history: bool = True
+ with_history: bool = False
  """Whether to use history or not"""
 
  @property