add agent tools

agent_tools_wolfram.ipynb

@@ -0,0 +1,65 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "wolfram = WolframAlphaAPIWrapper()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"Wolfram Alpha wasn't able to answer it\""
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# wolfram.run(\"What is 2x+5 = -3x + 7?\")\n",
+    "wolfram.run(\"同学们进行广播操比赛，全班正好排成相等的6行。小红排在第二行，从头数，她站在第5个位置，从后数她站在第3个位置，这个班共有( )人\")"
+   ]
+  }
+ ],
+ "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
+}

chain_bash.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -12,23 +12,99 @@
       "\n",
       "\n",
       "\u001b[1m> Entering new LLMBashChain chain...\u001b[0m\n",
-      "重命名，把chain_bash.ipynb重命名为chain_bash_auto.ipynb\u001b[32;1m\u001b[1;3m\n",
+      "找出当前目录下，文件名中包含serp的文件\u001b[32;1m\u001b[1;3m\n",
       "\n",
       "```bash\n",
-      "mv chain_bash.ipynb chain_bash_auto.ipynb\n",
+      "ls\n",
+      "grep -r \"serp\" *\n",
       "```\u001b[0m\n",
-      "Code: \u001b[33;1m\u001b[1;3m['mv chain_bash.ipynb chain_bash_auto.ipynb']\u001b[0m\n",
-      "Answer: \u001b[33;1m\u001b[1;3m\u001b[0m\n",
+      "Code: \u001b[33;1m\u001b[1;3m['ls', 'grep -r \"serp\" *']\u001b[0m\n",
+      "Answer: \u001b[33;1m\u001b[1;3mREADME.md\n",
+      "\u001b[34m__pycache__\u001b[m\u001b[m\n",
+      "anthropic_simple.ipynb\n",
+      "app.py\n",
+      "chain_api.ipynb\n",
+      "chain_bash.ipynb\n",
+      "chain_checker.ipynb\n",
+      "chain_constitutional.ipynb\n",
+      "chain_constitutional_prompts_cn.py\n",
+      "chain_input_tool_schema.ipynb\n",
+      "chain_load_json.ipynb\n",
+      "chain_math.ipynb\n",
+      "chain_moderation.ipynb\n",
+      "chain_pal.ipynb\n",
+      "chain_request_html.ipynb\n",
+      "chain_save_json.ipynb\n",
+      "chain_summarize_map_reduce.ipynb\n",
+      "chain_transform.ipynb\n",
+      "data_map_0.txt\n",
+      "faiss.index\n",
+      "\u001b[34mflagged\u001b[m\u001b[m\n",
+      "index_bilibili.ipynb\n",
+      "index_csv_loader.ipynb\n",
+      "index_huggingface_datasets.ipynb\n",
+      "index_image_caption.ipynb\n",
+      "index_start.ipynb\n",
+      "index_url_loader.ipynb\n",
+      "index_web_base.ipynb\n",
+      "index_youtube.ipynb\n",
+      "\u001b[34mindexes\u001b[m\u001b[m\n",
+      "llms_asyncio.py\n",
+      "llms_cache.py\n",
+      "llms_cache_gpt.py\n",
+      "llms_cache_gpt_similarity.py\n",
+      "llms_cache_option.ipynb\n",
+      "llms_cache_option.py\n",
+      "llms_cache_option_chain.ipynb\n",
+      "llms_fake.py\n",
+      "llms_openai.py\n",
+      "llms_prompt_layer.ipynb\n",
+      "llms_semantic_similarity.ipynb\n",
+      "llms_sequential_chain.ipynb\n",
+      "llms_serialization.ipynb\n",
+      "llms_streaming.ipynb\n",
+      "memory_kg.ipynb\n",
+      "memory_predict_with_history.ipynb\n",
+      "memory_start.ipynb\n",
+      "memory_summary_buffer.ipynb\n",
+      "openai_agent.py\n",
+      "openai_chat\n",
+      "openai_chat_agent.py\n",
+      "openai_chat_prompt_template.py\n",
+      "openai_conversation_chain.py\n",
+      "openai_prompt_template.py\n",
+      "openai_simple.py\n",
+      "openai_track_usage.ipynb\n",
+      "parser_fix_output.ipynb\n",
+      "parser_list_output.ipynb\n",
+      "parser_pydantic_output.ipynb\n",
+      "parser_reponse_schema.ipynb\n",
+      "prompt_custom_example_selector.ipynb\n",
+      "prompt_load.ipynb\n",
+      "prompt_partial_template.ipynb.ipynb\n",
+      "\u001b[34mprompts\u001b[m\u001b[m\n",
+      "prompts_relevance_example_selector.ipynb\n",
+      "requirements.txt\n",
+      "retriever_chatgpt.ipynb\n",
+      "socket_client.py\n",
+      "socket_server.py\n",
+      "sqlite.db\n",
+      "test.py\n",
+      "\u001b[34mtxt\u001b[m\u001b[m\n",
+      "llms_serialization.ipynb:    \"tools = load_tools([\\\"serpapi\\\", \\\"llm-math\\\"], llm=llm)\\n\",\n",
+      "openai_agent.py:tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\n",
+      "openai_chat_agent.py:tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\n",
+      "\u001b[0m\n",
       "\u001b[1m> Finished chain.\u001b[0m\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "''"
+       "'README.md\\n\\x1b[34m__pycache__\\x1b[m\\x1b[m\\nanthropic_simple.ipynb\\napp.py\\nchain_api.ipynb\\nchain_bash.ipynb\\nchain_checker.ipynb\\nchain_constitutional.ipynb\\nchain_constitutional_prompts_cn.py\\nchain_input_tool_schema.ipynb\\nchain_load_json.ipynb\\nchain_math.ipynb\\nchain_moderation.ipynb\\nchain_pal.ipynb\\nchain_request_html.ipynb\\nchain_save_json.ipynb\\nchain_summarize_map_reduce.ipynb\\nchain_transform.ipynb\\ndata_map_0.txt\\nfaiss.index\\n\\x1b[34mflagged\\x1b[m\\x1b[m\\nindex_bilibili.ipynb\\nindex_csv_loader.ipynb\\nindex_huggingface_datasets.ipynb\\nindex_image_caption.ipynb\\nindex_start.ipynb\\nindex_url_loader.ipynb\\nindex_web_base.ipynb\\nindex_youtube.ipynb\\n\\x1b[34mindexes\\x1b[m\\x1b[m\\nllms_asyncio.py\\nllms_cache.py\\nllms_cache_gpt.py\\nllms_cache_gpt_similarity.py\\nllms_cache_option.ipynb\\nllms_cache_option.py\\nllms_cache_option_chain.ipynb\\nllms_fake.py\\nllms_openai.py\\nllms_prompt_layer.ipynb\\nllms_semantic_similarity.ipynb\\nllms_sequential_chain.ipynb\\nllms_serialization.ipynb\\nllms_streaming.ipynb\\nmemory_kg.ipynb\\nmemory_predict_with_history.ipynb\\nmemory_start.ipynb\\nmemory_summary_buffer.ipynb\\nopenai_agent.py\\nopenai_chat\\nopenai_chat_agent.py\\nopenai_chat_prompt_template.py\\nopenai_conversation_chain.py\\nopenai_prompt_template.py\\nopenai_simple.py\\nopenai_track_usage.ipynb\\nparser_fix_output.ipynb\\nparser_list_output.ipynb\\nparser_pydantic_output.ipynb\\nparser_reponse_schema.ipynb\\nprompt_custom_example_selector.ipynb\\nprompt_load.ipynb\\nprompt_partial_template.ipynb.ipynb\\n\\x1b[34mprompts\\x1b[m\\x1b[m\\nprompts_relevance_example_selector.ipynb\\nrequirements.txt\\nretriever_chatgpt.ipynb\\nsocket_client.py\\nsocket_server.py\\nsqlite.db\\ntest.py\\n\\x1b[34mtxt\\x1b[m\\x1b[m\\nllms_serialization.ipynb:    \"tools = load_tools([\\\\\"serpapi\\\\\", \\\\\"llm-math\\\\\"], llm=llm)\\\\n\",\\nopenai_agent.py:tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\\nopenai_chat_agent.py:tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\\n'"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -40,7 +116,9 @@
     "llm = OpenAI(temperature=0)\n",
     "\n",
     "# text = \"查看当前目录下的文件列表，过滤出以chain开头的文件\"\n",
-    "text = \"重命名，把chain_bash.ipynb重命名为chain_bash_auto.ipynb\"\n",
+    "# text = \"重命名，把chain_bash.ipynb重命名为chain_bash_auto.ipynb\"\n",
+    "# text = \"找出当前目录下，文件名中包含html的文件\"\n",
+    "text = \"找出当前目录下，文件名中包含serp的文件\"\n",
     "\n",
     "bash_chain = LLMBashChain.from_llm(llm, verbose=True)\n",
     "\n",

chain_constitutional.ipynb

@@ -132,8 +132,25 @@
       "\n",
       "\u001b[0m\u001b[33;1m\u001b[1;3mUpdated response: 自杀是一种不可接受的行为，应该尽量避免。如果有学生出现自杀的想法，应该尽快寻求专业的心理咨询帮助，并及时向学校或家长汇报，以确保学生的安全。自杀是一种违反道德和法律的行为，应该被严厉打击。\n",
       "\n",
-      "\u001b[0m"
+      "\u001b[0m\u001b[32;1m\u001b[1;3mApplying 爸爸妈妈原则...\n",
+      "\n",
+      "\u001b[0m\u001b[36;1m\u001b[1;3mCritique: 模型的回答可能会被解释为父母的口吻，而不是一位老师的口吻。模型应该更加客观，更加专业，并且更加关注学生的安全和健康，而不是强调自杀是一种不可接受的行为。\n",
+      "\n",
+      "\u001b[0m\u001b[33;1m\u001b[1;3mUpdated response: 如果有学生出现自杀的想法，作为老师，我们应该尽快寻求专业的心理咨询帮助，并及时向学校或家长汇报，以确保学生的安全。我们应该以耐心、和蔼可亲的方式与学生沟通，尊重他们的想法，并帮助他们找到更好的解决方案。\n",
+      "\n",
+      "\u001b[0m\n",
+      "\u001b[1m> Finished chain.\u001b[0m\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'如果有学生出现自杀的想法，作为老师，我们应该尽快寻求专业的心理咨询帮助，并及时向学校或家长汇报，以确保学生的安全。我们应该以耐心、和蔼可亲的方式与学生沟通，尊重他们的想法，并帮助他们找到更好的解决方案。'"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [

chain_pal.ipynb

@@ -68,6 +68,45 @@
     "# question = \"同学们进行广播操比赛，全班正好排成相等的6行。小红排在第二行，从头数，她站在第5个位置，从后数她站在第3个位置，这个班共有( )人\"\n",
     "pal_chain.run(question)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.agents import Tool\n",
+    "from langchain.utilities import PythonREPL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "python_repl = PythonREPL()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2\\n'"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "python_repl.run(\"print(1+1)\")"
+   ]
   }
  ],
  "metadata": {

chain_request_html.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -63,7 +63,29 @@
       "text/plain": [
        "{'query': '今天是日期是？',\n",
        " 'url': 'https://www.google.com/search?q=今天是日期是？',\n",
-       " 'output': '2023年5月4日星期四'}"
+       " 'output': '2023年5月6日星期六'}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chain(inputs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'query': '执行decode后，找出所有中文',\n",
+       " 'url': 'https://i.zuoyebang.cc/odsv2/#/admin/weekly-stats',\n",
+       " 'output': ' not found'}"
       ]
      },
      "execution_count": 9,
@@ -72,8 +94,35 @@
     }
    ],
    "source": [
+    "question = \"执行decode后，找出所有中文\"\n",
+    "inputs = {\n",
+    "    \"query\": question,\n",
+    "    \"url\": \"https://i.zuoyebang.cc/odsv2/#/admin/weekly-stats\"\n",
+    "}\n",
     "chain(inputs)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'<!DOCTYPE html><html lang=\"zh\"><head><meta charset=\"UTF-8\"><meta name=\"viewport\" content=\"width=device-width,initial-scale=1\"><meta name=\"theme-color\" content=\"#028bff\" media=\"(prefers-color-scheme: light)\"><link rel=\"icon\" href=\"//www.zuoyebang.cc/favicon.ico\"><title>ç\\x9b®æ\\xa0\\x87管ç\\x90\\x86å¹³å\\x8f°</title><script src=\"./static/file/js-cookie.js\"></script><script>// (function() {\\n      //   var Cookies = window.Cookies;\\n      //   if (Cookies) {\\n      //     if (Cookies.get(\\'odsv2\\') === \\'0\\' && window.location.href.indexOf(\\'/odsv2\\') > -1) {\\n      //       // 主å\\x8a¨é\\x80\\x89æ\\x8b©ä½¿ç\\x94¨æ\\x97§ç\\x89\\x88\\n      //       window.location.href = \\'/\\';\\n      //     }\\n      //   }\\n      // })();</script><script>// æ\\x80§è\\x83½ç\\x9b\\x91æ\\x8e§\\n      (function() {\\n        let apmAppId = 10000125;\\n        if (window.location.host.indexOf(\\'zuoyebang.cc\\') > -1) {\\n          // 线ä¸\\x8a\\n          apmAppId = 10000122;\\n        }\\n        window.apmAppId = apmAppId;\\n      })();</script><script>(function(win, export_obj) {\\n          win[\\'TeaAnalyticsObject\\'] = export_obj;\\n          if (!win[export_obj]) {\\n              function _collect() {\\n                  _collect.q.push(arguments);\\n              }\\n              _collect.q = _collect.q || [];\\n              win[export_obj] = _collect;\\n          }\\n          win[export_obj].l = +new Date();\\n      })(window, \\'collectEvent\\');</script><script async src=\"https://sf1-scmcdn-tos.pstatp.com/goofy/log-sdk/collect/collect-autotrack-rangers-v4.1.49.js\"></script><script>if (!window.globalThis) {\\n          // å\\x85¼å®¹ä½\\x8eç\\x89\\x88æ\\x9c¬æµ\\x8fè§\\x88å\\x99¨ä¸\\x8dæ\\x94¯æ\\x8c\\x81globalThisç\\x9a\\x84æ\\x83\\x85å\\x86µ\\n          window.globalThis = window;\\n        }</script><script>(function() {\\n        // dataFinder\\n        window.collectEvent(\\'init\\', {\\n          app_id: window.apmAppId,\\n          channel_domain: \\'https://apm.zuoyebang.com\\',  // æ\\x9b¿æ\\x8d¢ä¸ºç§\\x81æ\\x9c\\x89é\\x83¨ç½²é\\x83¨ç½²æ\\x9c\\x8då\\x8a¡å\\x9c°å\\x9d\\x80,\\n          disable_sdk_monitor: true, //ç\\x94¨äº\\x8eç¦\\x81æ\\xad¢SDKå\\x90¯å\\x8a¨å\\x90\\x8eè\\x87ªèº«ç\\x9b\\x91æ\\x8e§äº\\x8b件 onload ç\\x9a\\x84ä¸\\x8aæ\\x8a¥\\n          log: false,\\n        });\\n        window.collectEvent(\\'start\\');\\n\\n        // apmInsight\\n        // window.RangersSiteSDK(\"config\", {\\n        //   app_id: window.apmAppId,// è¿\\x99é\\x87\\x8cå\\x86\\x99å\\x85¥å\\x9c¨å¹³å\\x8f°ä¸\\x8a注å\\x86\\x8cç\\x9a\\x84aid\\n        //   pid: window.location.href,\\n        // //  user_unique_id: \\'\\',\\n        //   serverDomain: \\'https://apm.zuoyebang.com\\', // è¿\\x99é\\x87\\x8cæ\\x8c\\x87å®\\x9aä¸\\x8aæ\\x8a¥å\\x9f\\x9få\\x90\\x8dï¼\\x8cå\\x90¦å\\x88\\x99apmInsightç\\x9c\\x8bä¸\\x8då\\x88°æ\\x95°æ\\x8d®\\n        //   context: {\\n        //   },\\n        // });\\n\\n      })();\\n      // 1546</script><link href=\"/odsv2/static/okr/css/chunk-zybpcUI.87bd49cd.css\" rel=\"stylesheet\"><link href=\"/odsv2/static/okr/css/chunk-libs.cf218c77.css\" rel=\"stylesheet\"><link href=\"/odsv2/static/okr/css/okr-app.e9bf765d.css\" rel=\"stylesheet\"></head><body><div id=\"app\"></div><script src=\"/odsv2/static/okr/js/chunk-zybpcUI.104a0d08.js\"></script><script src=\"/odsv2/static/okr/js/chunk-libs.455ada3e.js\"></script><script src=\"/odsv2/static/okr/js/okr-app.5924badf.js\"></script></body><script>window._codeVersion=\\'1546\\';</script></html>'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from langchain.utilities import TextRequestsWrapper\n",
+    "requests = TextRequestsWrapper()\n",
+    "requests.get(\"https://i.zuoyebang.cc/odsv2/#/admin/weekly-stats\")"
+   ]
   }
  ],
  "metadata": {