add llms serialization

llms_openai.py

@@ -2,6 +2,9 @@ from langchain.llms import OpenAI
 
 llm = OpenAI(model_name="text-davinci-003", n=2, best_of=2)
 
+# 保存llm配置
+# llm.save("./txt/llm.json")
+
 # 生成文本, get_num_tokens用于计算输入文本的token。
 result = llm("随机一份双色球号码")
 print()

llms_serialization.ipynb

@@ -0,0 +1,99 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.llms import OpenAI\n",
+    "from langchain.llms.loading import load_llm\n",
+    "from langchain.agents import load_tools\n",
+    "from langchain.agents import initialize_agent\n",
+    "from langchain.agents import AgentType"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\n\\n今天是2020年7月5日（星期日）。'"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "llm = load_llm(\"./txt/llm.json\")\n",
+    "llm(\"今天的日期？\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
+      "\u001b[32;1m\u001b[1;3m I need to figure out the date today\n",
+      "Action: Search\n",
+      "Action Input: 今天的日期\u001b[0m\n",
+      "Observation: \u001b[36;1m\u001b[1;3m随着Today'sDate365，迅速得到当前日期。 无论你有一台电脑，平板电脑或智能手机，当前日期会立即出现。 今天的日期是：. 周一; 2023 四月17; 2023/04/17 ...\u001b[0m\n",
+      "Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
+      "Final Answer: 2023年4月17日\u001b[0m\n",
+      "\n",
+      "\u001b[1m> Finished chain.\u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'2023年4月17日'"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\n",
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)\n",
+    "agent.run(\"今天的日期？\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

txt/llm.json

@@ -0,0 +1,13 @@
+{
+    "model_name": "text-davinci-003",
+    "temperature": 0.7,
+    "max_tokens": 256,
+    "top_p": 1,
+    "frequency_penalty": 0,
+    "presence_penalty": 0,
+    "n": 2,
+    "best_of": 2,
+    "request_timeout": null,
+    "logit_bias": {},
+    "_type": "openai"
+}