{"id":1196,"date":"2024-04-25T13:31:36","date_gmt":"2024-04-25T13:31:36","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1196"},"modified":"2024-04-25T13:31:36","modified_gmt":"2024-04-25T13:31:36","slug":"dayuyanmoxingdekaifaliqilangchain","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/dayuyanmoxingdekaifaliqilangchain.html","title":{"rendered":"\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5f00\u53d1\u5229\u5668langchain"},"content":{"rendered":"

\u7b80\u4ecb<\/h1>\n

\u6700\u8fd1\u968f\u7740chatgpt\u7684\u5174\u8d77\uff0c\u4eba\u5de5\u667a\u80fd\u548c\u5927\u8bed\u8a00\u6a21\u578b\u53c8\u518d\u6b21\u8fdb\u5165\u4e86\u4eba\u4eec\u7684\u89c6\u91ce\uff0c\u4e0d\u540c\u7684\u662f\u8fd9\u4e00\u6b21\u50cf\u662f\u6765\u771f\u7684\uff0c\u5404\u5927\u516c\u53f8\u90fd\u5728\u62fc\u547d\u6295\u5165\uff0c\u5e0c\u671b\u80fd\u5728\u672a\u6765\u7684AI\u8d5b\u9053\u4e0a\u5360\u6709\u4e00\u5e2d\u4e4b\u5730\u3002\u56e0\u4e3aAI\u9700\u8981\u5927\u89c4\u6a21\u7684\u7b97\u529b\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u6765\u8bf4\u3002\u5927\u89c4\u6a21\u7684\u7b97\u529b\u5c31\u610f\u5473\u7740\u9700\u8981\u5927\u91cf\u91d1\u94b1\u7684\u6295\u5165\u3002\u90a3\u4e48\u5bf9\u4e8e\u5c0f\u516c\u53f8\u6216\u8005\u4e2a\u4eba\u6765\u8bf4\u662f\u4e0d\u662f\u4ec0\u4e48\u90fd\u505a\u4e0d\u4e86\u5462\uff1f<\/p>\n

\u5f53\u7136\u4e0d\u662f\uff0c\u867d\u7136\u5c0f\u516c\u53f8\u6216\u8005\u4e2a\u4eba\u4e0d\u80fd\u5f00\u53d1\u5e95\u5c42\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4f46\u662f\u6211\u4eec\u53ef\u4ee5\u5728\u5927\u8bed\u8a00\u6a21\u578b\u4e4b\u4e0a\u8fdb\u884c\u5e94\u7528\u5f00\u53d1\uff0c\u8fd9\u5e94\u8be5\u5c31\u662f\u6211\u4eec\u73b0\u5728\u80fd\u505a\u5230\u7684\u3002<\/p>\n

\u4eca\u5929\u7ed9\u5927\u5bb6\u4ecb\u7ecd\u4e00\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5f00\u53d1\u6846\u67b6langchain\uff0c\u6709\u4e86\u5b83\uff0c\u5728AI\u7684\u4e16\u754c\uff0c\u4f60\u53ef\u4ee5\u5982\u864e\u6dfb\u7ffc\u3002<\/p>\n

\u4ec0\u4e48\u662flangchain<\/h1>\n

\u7b80\u5355\u6765\u8bf4\uff0clangchain\u662f\u4e00\u4e2a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u53ea\u4e0a\u7684\u5f00\u53d1\u6846\u67b6\uff0c\u6709\u4e86\u4ed6\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u8f7b\u677e\u5728\u5404\u79cd\u5927\u6a21\u578b\u4e4b\u4e0a\u8fdb\u884c\u5b9e\u9645\u5e94\u7528\u7684\u5f00\u53d1\u3002<\/p>\n

langchain\u7684\u4e3b\u8981\u7279\u70b9\u6709\u4e24\u4e2a\uff0c\u7b2c\u4e00\u70b9\u5c31\u662f\u7ec4\u4ef6\u5316\u3002langchain\u63d0\u4f9b\u4e86\u5404\u79cd\u5c01\u88c5\u597d\u7684\u7ec4\u4ef6\u4f9b\u6211\u4eec\u4f7f\u7528\uff0c\u5927\u5927\u7f29\u77ed\u4e86\u6211\u4eec\u5f00\u53d1\u7684\u65f6\u95f4\u3002<\/p>\n

\u7b2c\u4e8c\u70b9\u5c31\u662f\u63d0\u4f9b\u4e86\u5de5\u5177\u94fe\uff0c\u53ef\u4ee5\u7ec4\u88c5\u5404\u79cd\u7ec4\u4ef6\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u52a0\u590d\u6742\u7684\u529f\u80fd\u3002<\/p>\n

langchain\u7684\u5b89\u88c5<\/h1>\n

\u5e9f\u8bdd\u4e0d\u591a\u8bf4\uff0c\u6211\u4eec\u6765\u770b\u4e0blangchain\u662f\u5982\u4f55\u5b89\u88c5\u7684\u3002<\/p>\n

\n

AI\u65f6\u4ee3\u5927\u5bb6\u4e00\u5b9a\u8981\u5b66\u4e00\u4e0bpython\uff0c\u81f3\u4e8e\u4e3a\u4ec0\u4e48\u8981\u5b66\u4e60python\u5462\uff1f\u56e0\u4e3a\u5176\u4ed6\u8bed\u8a00\u90fd\u4e0d\u597d\u4f7f……<\/p>\n<\/blockquote>\n

langchain\u5b9e\u9645\u4e0a\u662fpython\u7684\u4e00\u4e2a\u5f00\u53d1\u5305\uff0c\u6240\u4ee5\u53ef\u4ee5\u901a\u8fc7pip\u6216\u8005conda\u4e24\u79cd\u65b9\u5f0f\u6765\u5b89\u88c5\uff1a<\/p>\n

pip\u5b89\u88c5<\/strong>\uff1a<\/p>\n

<\/div>
<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>pip install langchain<\/span>\n<\/code><\/pre>\n
conda\u5b89\u88c5<\/strong>\uff1a<\/p>\n
<\/div>
r<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>conda install langchain -<\/span>c<\/span> conda-<\/span>forge<\/span>\n<\/code><\/pre>\n
\u9ed8\u8ba4\u60c5\u51b5\u4e0b\u4e0a\u9762\u7684\u5b89\u88c5\u65b9\u5f0f\u662f\u6700\u7b80\u5355\u7684\u5b89\u88c5\uff0c\u8fd8\u6709\u5f88\u591a\u548clangchain\u96c6\u6210\u7684modules\u5e76\u6ca1\u6709\u5b89\u88c5\u8fdb\u6765\uff0c\u5982\u679c\u4f60\u5e0c\u671b\u5b89\u88c5common LLM providers\u7684\u4f9d\u8d56\u6a21\u5757\uff0c\u90a3\u4e48\u53ef\u4ee5\u901a\u8fc7\u4e0b\u9762\u7684\u547d\u4ee4\uff1a<\/p>\n
<\/div>
css<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>pip install langchain[llms]<\/span><\/span>\n<\/code><\/pre>\n
\u5982\u679c\u4f60\u60f3\u5b89\u88c5\u6240\u6709\u7684\u6a21\u5757\uff0c\u90a3\u4e48\u53ef\u4ee5\u4f7f\u7528\u4e0b\u9762\u7684\u547d\u4ee4\uff1a<\/p>\n
<\/div>
css<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>pip install langchain[all]<\/span><\/span>\n<\/code><\/pre>\n
\u56e0\u4e3alangchain\u662f\u5f00\u6e90\u8f6f\u4ef6\uff0c\u6240\u4ee5\u4f60\u4e5f\u53ef\u4ee5\u901a\u8fc7\u6e90\u4ee3\u7801\u6765\u5b89\u88c5,\u4e0b\u8f7d\u597d\u6e90\u4ee3\u7801\u4e4b\u540e\uff0c\u901a\u8fc7\u4e0b\u9762\u7684\u547d\u4ee4\u5b89\u88c5\u5373\u53ef\uff1a<\/p>\n
<\/div>
erlang<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>pip install -e .<\/span>\n<\/code><\/pre>\n
langchain\u5feb\u901f\u4f7f\u7528<\/h1>\n
\u4e0b\u9762\u6211\u4eec\u4ee5\u51e0\u4e2a\u5177\u4f53\u7684\u4f8b\u5b50\u6765\u8bb2\u89e3\u4e00\u4e0blangchain\u5982\u4f55\u4f7f\u7528\u7684\u3002<\/p>\n
\u56e0\u4e3alangchain\u53ea\u662f\u4e00\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u4e0a\u7684\u5f00\u53d1\u6846\u67b6\uff0c\u5b83\u7684\u6240\u6709\u7684\u80fd\u529b\u90fd\u662f\u4f9d\u8d56\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\uff0c\u6240\u4ee5\u5728\u4f7f\u7528langchain\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u4e00\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u6700\u7b80\u5355\u540c\u65f6\u4e5f\u662f\u6700\u5f3a\u5927\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5c31\u662fopenai\u7684chatgpt\u4e86\u3002<\/p>\n
\u63a5\u4e0b\u6765\u6211\u4eec\u5c31\u4ee5\u63a5\u5165openai\u4e3a\u4f8b\u5b50\u8fdb\u884c\u8bb2\u89e3\u3002<\/p>\n
\n
\u5f53\u7136langchain\u4e5f\u53ef\u4ee5\u63a5\u5165\u5176\u4ed6\u7684\u5927\u8bed\u8a00\u6a21\u578b\u6846\u67b6\uff0c\u540e\u9762\u7684\u7cfb\u5217\u6559\u7a0b\u4e2d\u6211\u4eec\u4f1a\u8be6\u7ec6\u8bb2\u89e3\u3002<\/p>\n<\/blockquote>\n
\u8981\u4f7f\u7528openai\uff0c\u5fc5\u987b\u5148\u6ce8\u518c\u4e00\u4e2aopenai\u7684\u8d26\u53f7\uff0c\u7136\u540e\u62ff\u5230openai\u7684api key\u3002<\/p>\n
\u5177\u4f53\u7684\u6ce8\u518c\u6d41\u7a0b\u8fd9\u91cc\u5c31\u4e0d\u8bb2\u4e86\u3002\u5927\u5bb6\u53ef\u4ee5\u81ea\u884c\u53c2\u8003\u7f51\u7edc\u4e0a\u7684\u5404\u79cd\u6559\u7a0b\u3002<\/p>\n
\u6709\u4e86api key\u4e4b\u540e\uff0c\u6211\u4eec\u9700\u8981\u914d\u7f6e\u4e00\u4e0b\u73af\u5883\u53d8\u91cf\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>export OPENAI_API_KEY<\/span>=\"...\"<\/span><\/span>\n<\/code><\/pre>\n
\u7136\u540e\u5b89\u88c5openai\u7684\u5305\uff1a<\/p>\n
<\/div>
<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>pip install openai<\/span>\n<\/code><\/pre>\n
\u63a5\u4e0b\u6765\u5c31\u53ef\u4ee5\u6109\u5feb\u7684\u4f7f\u7528openai\u63d0\u4f9b\u7684\u5404\u79cd\u529f\u80fd\u4e86\u3002<\/p>\n
\u5f53\u7136\uff0c\u5982\u679c\u4f60\u4e0d\u60f3\u5728\u73af\u5883\u53d8\u91cf\u4e2d\u914d\u7f6eopenai\u7684key\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u5728OpenAI\u7684\u6784\u9020\u51fd\u6570\u4e2d\u4f20\u5165openai_api_key:<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.llms import OpenAI<\/span>\n<\/span>\nllm<\/span> = OpenAI(openai_api_key=\"...\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u6784\u5efa\u5e94\u7528<\/h2>\n
\u6709\u4e86\u4e0a\u9762\u7684\u51c6\u5907\u5de5\u4f5c\uff0c\u63a5\u4e0b\u6765\u6211\u4eec\u5c31\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528langchain\u4e86\u3002<\/p>\n
\u5f53\u7136\uff0c\u6700\u6700\u57fa\u7840\u7684\u4e00\u4e2a\u5e94\u7528\u5c31\u662f\u8ddf\u5927\u6a21\u578b\u4ea4\u4e92\u4e86\uff0c\u6bd4\u5982\u8ddfopenai\u4ea4\u4e92\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba9openai\u7ed9\u6211\u4eec\u5199\u9996\u8bd7\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>>>> <\/span>from<\/span> langchain.llms import<\/span> OpenAI<\/span>\n>>> <\/span>llm = OpenAI(temperature=0.9<\/span>)<\/span>\n>>> <\/span>llm.predict(\"\u8bf7\u4ee5\u53e4\u9f99\u7684\u53e3\u543b\uff0c\u5199\u9996\u5173\u4e8e\u6625\u5929\u8bd7\"<\/span>)<\/span>\n<\/span>\n\u6625\u5929\u6765\u4e86\uff0c\u4e07\u7269\u590d\u82cf\uff0c<\/span>\n\u7ec8\u4e8e\u8fce\u6765\u4e86\u4e00\u4e2a\u65b0\u7684\u65f6\u8fb0\uff0c<\/span>\n\u8349\u513f\u82b1\u513f\u62ac\u8d77\u5934\uff0c<\/span>\n\u559c\u8fce\u65b0\u7eff\u4e0e\u7eda\u4e3d\u7684\u989c\u8272\u3002<\/span>\n<\/span>\n\u5c71\u6797\u91cc\uff0c\u5c0f\u8349\u53d1\u82bd\uff0c<\/span>\n\u6cb3\u7554\u8fb9\uff0c\u82b1\u513f\u9999\u70c8\uff0c<\/span>\n\u8fd9\u8ba9\u6211\u4eec\u611f\u5230\u5fc3\u65f7\u795e\u6021\uff0c<\/span>\n\u8fd9\u771f\u662f\u4e00\u4e2a\u7f8e\u597d\u7684\u4e16\u754c\u3002<\/span>\n<\/span>\n\u6625\u5929\u6765\u4e86\uff0c\u5217\u4f4d\u670b\u53cb\uff0c<\/span>\n\u8bf7\u559c\u8fce\u8fd9\u6837\u4e00\u4e2a\u65b0\u65f6\u8fb0\uff0c<\/span>\n\u4e0d\u8981\u62b1\u6028\u4ec0\u4e48\uff0c<\/span>\n\u4eab\u53d7\u6625\u7684\u6e29\u6696\u4e0e\u6b23\u6170\u3002<\/span>\n<\/code><\/pre>\n
\u867d\u7136\u5199\u51fa\u6765\u4e86\uff0c\u4f46\u662f\u6211\u89c9\u5f97\u5199\u7684\u4e00\u822c\u822c\u5427\u3002<\/p>\n
\u4f46\u662f\u8fd9\u4e0d\u91cd\u8981\uff0c\u6211\u4eec\u77e5\u9053\u4e86\u5982\u4f55\u901a\u8fc7langchain\u6765\u8c03\u7528openai\u7684\u5927\u6a21\u578b\uff0c\u8fd9\u4e2a\u624d\u662f\u6700\u91cd\u8981\u7684\u3002<\/p>\n
\u804a\u5929\u6a21\u5f0f<\/h2>\n
\u4e0a\u9762\u6211\u4eec\u8c03\u7528LLM\u4f7f\u7528\u7528\u7684\u662f”text in, text out”\u7684\u6a21\u578b\u3002<\/p>\n
\u867d\u7136\u804a\u5929\u6a21\u5f0f\u4e5f\u662f\u57fa\u4e8eLLM\uff0c\u4f46\u662f\u4ed6\u66f4\u8fdb\u4e86\u4e00\u6b65\uff0c\u56e0\u4e3a\u4ed6\u4fdd\u5b58\u4e86\u4f1a\u8bdd\u7684\u4e0a\u4e0b\u95ee\u9898\uff0c\u6240\u4ee5\u5728\u5bf9\u8bdd\u4e0a\u66f4\u52a0\u667a\u80fd\u5316\u3002<\/p>\n
\u5728\u4ee3\u7801\u4e0a\uff0c\u4f20\u5165\u7684\u5c31\u4e0d\u662f\u6587\u672c\u4e86\uff0c\u800c\u662fmessage\u5bf9\u8c61\u3002<\/p>\n
\u5728langchain\u4e2d\uff0c\u76ee\u524d\u652f\u6301\u4e0b\u9762\u51e0\u79cd\u6d88\u606f\u7c7b\u578b\uff1aAIMessage, HumanMessage, SystemMessage \u548c ChatMessage\u3002<\/p>\n
\u5728\u7edd\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ea\u9700\u8981\u7528\u5230AIMessage, HumanMessage, SystemMessage\u5373\u53ef\u3002<\/p>\n
\u4e0b\u9762\u662f\u4f7f\u7528\u7684\u4ee3\u7801\u4f8b\u5b50\uff1a<\/p>\n
<\/div>
javascript<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.chat_models<\/span> import<\/span> ChatOpenAI<\/span><\/span>\nfrom<\/span> langchain.schema<\/span> import<\/span> (<\/span>\n    AIMessage<\/span>,<\/span>\n    HumanMessage<\/span>,<\/span>\n    SystemMessage<\/span><\/span>\n)<\/span>\n<\/span>\nchat = ChatOpenAI<\/span>(temperature=0<\/span>)<\/span>\nchat.predict_messages<\/span>([HumanMessage<\/span>(content=\"\u8bf7\u4ee5\u53e4\u9f99\u7684\u53e3\u543b\uff0c\u5199\u9996\u5173\u4e8e\u6625\u5929\u8bd7\"<\/span>)])<\/span>\n<\/span>\n<\/code><\/pre>\n
\u90a3\u4e48\u804a\u5929\u6a21\u5f0f\u548cLLM\u6a21\u5f0f\u6709\u4ec0\u4e48\u4e0d\u4e00\u6837\u5462\uff1f<\/p>\n
\u5927\u5bb6\u53ef\u4ee5\u770b\u5230\uff0c\u804a\u5929\u6a21\u5f0f\u8c03\u7528\u7684\u662fpredict_messages\u63a5\u53e3\uff0c \u800cLLM\u6a21\u5f0f\u8c03\u7528\u7684\u662fpredict\u63a5\u53e3\u3002<\/p>\n
\u4e8b\u5b9e\u4e0a\u804a\u5929\u6a21\u5f0f\u5e95\u5c42\u8fd8\u662f\u4f7f\u7528\u7684\u662fLLM\uff0c\u4e3a\u4e86\u65b9\u4fbf\u5927\u5bb6\u7684\u4f7f\u7528\uff0c\u4f60\u4e5f\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528chat.predict\u65b9\u6cd5\u6765\u8fdb\u884cLLM\u65b9\u5f0f\u7684\u8c03\u7528\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
<\/div>
arduino<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>chat.predict<\/span>(\"\u8bf7\u4ee5\u53e4\u9f99\u7684\u53e3\u543b\uff0c\u5199\u9996\u5173\u4e8e\u6625\u5929\u8bd7\"<\/span>)<\/span>\n<\/code><\/pre>\n
Prompt\u7684\u6a21\u677f<\/h2>\n
\u5f00\u53d1\u8fc7LLM\u5e94\u7528\u7684\u4eba\u90fd\u77e5\u9053\uff0c\u5728LLM\u4e2dPrompt\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u4e00\u4e2a\u597d\u7684Prompt\u76f4\u63a5\u51b3\u5b9a\u4e86\u8fd9\u4e2a\u5e94\u7528\u7684\u8d28\u91cf\u3002<\/p>\n
\u4f46\u662fPrompt\u80af\u5b9a\u9700\u8981\u7ed3\u5408\u7528\u6237\u7684\u8f93\u5165\u548c\u6211\u4eec\u81ea\u5df1\u505a\u7684\u4e00\u4e9b\u9650\u5b9a\u6765\u7ed3\u5408\u4f7f\u7528\u3002<\/p>\n
\u8fd9\u65f6\u5019\u5c31\u9700\u8981\u7528\u5230Prompt\u7684\u6a21\u677f\u529f\u80fd\u4e86\u3002 \u6211\u4eec\u53ef\u4ee5\u5728\u7cfb\u7edf\u4e2d\u8bbe\u7f6e\u597d\u6a21\u677f\uff0c\u7528\u6237\u53ea\u9700\u8981\u586b\u5145\u6a21\u677f\u4e2d\u7684\u7279\u5b9a\u6d88\u606f\u5373\u53ef\u3002<\/p>\n
\u5728LLM\u6a21\u5f0f\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PromptTemplates\uff0c\u8fd9\u6837\u6765\u5199\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.prompts import PromptTemplate<\/span>\n<\/span>\nprompt<\/span> = PromptTemplate.from_template(\"\u8bf7\u5e2e\u5fd9\u6211\u8be6\u7ec6\u63cf\u8ff0\u4e00\u4e0b\u8fd9\u4e2a\u7269\u4f53\uff0c\u8fd9\u4e2a\u7269\u4f53\u7684\u540d\u5b57\u662f: {object}?\"<\/span>)<\/span>\nprompt.format(object<\/span>=\"\u732b\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u6700\u540e\u751f\u6210\u7684\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n
<\/div>
makefile<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>\u8bf7\u5e2e\u5fd9\u6211\u8be6\u7ec6\u63cf\u8ff0\u4e00\u4e0b\u8fd9\u4e2a\u7269\u4f53\uff0c\u8fd9\u4e2a\u7269\u4f53\u7684\u540d\u5b57\u662f: \u732b<\/span><\/span>\n<\/code><\/pre>\n
\u5982\u679c\u662f\u5728chat models\u4e2d\uff0c\u4ee3\u7801\u4f1a\u590d\u6742\u4e00\u70b9\u70b9\uff0c\u4f46\u662f\u903b\u8f91\u5b9e\u9645\u4e0a\u662f\u4e00\u6837\u7684\u3002 \u5728chat models\u4e2d\uff0c\u9700\u8981\u7528\u5230\u51e0\u79cdMessagePromptTemplate\uff0c\u6bd4\u5982\uff1aChatPromptTemplate,SystemMessagePromptTemplate\u548cHumanMessagePromptTemplate\u3002<\/p>\n
\u6211\u4eec\u5177\u4f53\u6765\u770b\u4e0b\u5982\u4f55\u4f7f\u7528\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.prompts.chat import (<\/span>\n    ChatPromptTemplate,<\/span>\n    SystemMessagePromptTemplate,<\/span>\n    HumanMessagePromptTemplate,<\/span>\n)<\/span>\n<\/span>\ntemplate<\/span> = \"\u73b0\u5728\uff0c\u4f60\u7684\u89d2\u8272\u662f{your_role}, \u8bf7\u6839\u636e\u4f60\u7684\u89d2\u8272\u56de\u7b54\u540e\u7eed\u7684\u95ee\u9898.\"<\/span><\/span>\nsystem_message_prompt<\/span> = SystemMessagePromptTemplate.from_template(template)<\/span>\nhuman_template<\/span> = \"{text}\"<\/span><\/span>\nhuman_message_prompt<\/span> = HumanMessagePromptTemplate.from_template(human_template)<\/span>\n<\/span>\nchat_prompt<\/span> = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])<\/span>\n<\/span>\nchat_prompt.format_messages(your_role<\/span>=\"\u6559\u5e08\"<\/span>, text=\"\u4e16\u754c\u4e0a\u6700\u8fdc\u7684\u5730\u65b9\u662f\u54ea\u91cc\uff1f\"<\/span>)<\/span>\n<\/span>\n<\/code><\/pre>\n
\u5bf9\u5e94\u7684\u8f93\u51fa\u5982\u4e0b\uff1a<\/p>\n
<\/div>
css<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>[    SystemMessage(content=\"\u73b0\u5728\uff0c\u4f60\u7684\u89d2\u8272\u662f\u6559\u5e08, \u8bf7\u6839\u636e\u4f60\u7684\u89d2\u8272\u56de\u7b54\u540e\u7eed\u7684\u95ee\u9898.\"<\/span>, additional_kwargs={}),    HumanMessage(content=\"\u4e16\u754c\u4e0a\u6700\u8fdc\u7684\u5730\u65b9\u662f\u54ea\u91cc\uff1f\"<\/span>)]<\/span><\/span>\n<\/code><\/pre>\n
\u975e\u5e38\u5b8c\u7f8e\u3002<\/p>\n
Chains<\/h2>\n
langchain\u8fd8\u6709\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u529f\u80fd\u5c31\u662fChains\uff0c\u4ed6\u53ef\u4ee5\u628a\u591a\u79cd\u4e0d\u540c\u7684\u529f\u80fd\u7ed3\u5408\u8d77\u6765\u3002<\/p>\n
\u6bd4\u5982\u4e0a\u9762\u6211\u4eec\u7528\u5230\u4e86LLM\uff0c\u8fd8\u7528\u5230\u4e86Prompt\u7684\u6a21\u677f\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u7528Chains\u628a\u4ed6\u4eec\u7ed3\u5408\u8d77\u6765\uff1a<\/p>\n
<\/div>
java<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.chains import<\/span> LLMChain<\/span><\/span>\n<\/span>\nchain<\/span> =<\/span> LLMChain(llm=llm, prompt=prompt)<\/span>\nchain.run(\"\u732b\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u5f53\u7136\uff0c\u4e5f\u53ef\u4ee5\u7ed3\u5408chat\u4f7f\u7528\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain import LLMChain<\/span>\nfrom langchain.chat_models import ChatOpenAI<\/span>\nfrom langchain.prompts.chat import (<\/span>\n    ChatPromptTemplate,<\/span>\n    SystemMessagePromptTemplate,<\/span>\n    HumanMessagePromptTemplate,<\/span>\n)<\/span>\n<\/span>\nchat<\/span> = ChatOpenAI(temperature=0<\/span>)<\/span>\n<\/span>\ntemplate<\/span> = \"\u73b0\u5728\uff0c\u4f60\u7684\u89d2\u8272\u662f{your_role}, \u8bf7\u6839\u636e\u4f60\u7684\u89d2\u8272\u56de\u7b54\u540e\u7eed\u7684\u95ee\u9898.\"<\/span><\/span>\nsystem_message_prompt<\/span> = SystemMessagePromptTemplate.from_template(template)<\/span>\nhuman_template<\/span> = \"{text}\"<\/span><\/span>\nhuman_message_prompt<\/span> = HumanMessagePromptTemplate.from_template(human_template)<\/span>\nchat_prompt<\/span> = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])<\/span>\n<\/span>\nchain<\/span> = LLMChain(llm=chat, prompt=chat_prompt)<\/span>\nchain.run(your_role<\/span>=\"\u6559\u5e08\"<\/span>, text=\"\u4e16\u754c\u4e0a\u6700\u8fdc\u7684\u5730\u65b9\u662f\u54ea\u91cc\uff1f\"<\/span>)<\/span>\n<\/code><\/pre>\n
Agents<\/h2>\n
\u4ec0\u4e48\u662fagents? \u4ece\u5b57\u9762\u610f\u4e49\u4e0a\u770b\uff0cAgents\u5c31\u662f\u4ee3\u7406\u3002<\/p>\n
\u4e8b\u5b9e\u4e0alangchain\u4e2d\u7684Agents\u5c31\u662f\u4ee3\u7406\u7684\u610f\u601d\u3002<\/p>\n
\u6bd4\u5982\u6211\u4eec\u73b0\u5728\u9700\u8981\u5411openai\u8be2\u95ee\u6628\u5929\u7684\u5929\u6c14\uff0c\u4f46\u662fopenai\u672c\u8eab\u53ea\u662f\u4e00\u4e2a\u5927\u6a21\u578b\uff0c\u5b83\u5e76\u4e0d\u77e5\u9053\u5b9e\u65f6\u7684\u4fe1\u606f\u3002\u4f46\u662f\u901a\u8fc7agents\u5c31\u53ef\u4ee5\u5148\u8fdb\u884c\u4e00\u6b21\u5224\u65ad\uff0c\u770b\u770b\u8fd9\u4e2a\u95ee\u9898\u662f\u4ea4\u7ed9\u5927\u6a21\u578b\u5904\u7406\u5408\u9002\uff0c\u8fd8\u662f\u4ea4\u7ed9\u641c\u7d22\u5f15\u64ce\u6765\u67e5\u8be2\u6bd4\u8f83\u5408\u9002\u3002<\/p>\n
\u8fd9\u5c31\u662fagents\u7684\u4f5c\u7528\u3002<\/p>\n
agents\u5229\u7528LLM\u6765\u5224\u65ad\u9700\u8981\u600e\u4e48\u5904\u7406\u8fd9\u4e2a\u4efb\u52a1\uff0c\u5e76\u4e14\u4ee5\u4ec0\u4e48\u6837\u7684\u987a\u5e8f\u6765\u5904\u7406\u8fd9\u4e2a\u4efb\u52a1\u3002<\/p>\n
\u4f46\u662f\u4f7f\u7528agents\u662f\u8981\u6709\u4e9b\u6761\u4ef6\u7684\uff0c\u9996\u5148\u4f60\u8fd9\u4e2aLLM\u6a21\u578b\u5fc5\u987b\u652f\u6301agent\uff0c\u8fd9\u6837\u624d\u80fd\u8fdb\u884c\u540e\u7eed\u7684\u5de5\u4f5c\u3002<\/p>\n
\u5176\u6b21\u662f\u9700\u8981\u6311\u9009\u5408\u9002\u7684\u5de5\u5177\u6765\u8fdb\u884c\u4f60\u60f3\u8981\u505a\u7684\u4e8b\u60c5\uff0c\u6bd4\u5982\uff1aGoogle Search, Database lookup, Python REPL\u7b49\u7b49\u3002<\/p>\n
\u6700\u540e\u5c31\u662f\u9700\u8981\u6307\u5b9a\u652f\u6301\u7684agent\u7684\u540d\u5b57\uff0c\u8fd9\u6837LLM\u624d\u77e5\u9053\u5230\u5e95\u9700\u8981\u8fdb\u884c\u54ea\u79cdaction\u3002<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528SerpAPI\u7ed3\u5408openai\u6765\u8fdb\u884c\u641c\u7d22\u7684\u4f8b\u5b50\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.agents import AgentType, initialize_agent, load_tools<\/span>\nfrom langchain.llms import OpenAI<\/span>\n<\/span>\n# The language model we're going to use to control the agent.<\/span><\/span>\nllm<\/span> = OpenAI(temperature=0<\/span>)<\/span>\n<\/span>\n# The tools we'll give the Agent access to. Note that the 'llm-math' tool uses an LLM, so we need to pass that in.<\/span><\/span>\ntools<\/span> = load_tools([\"serpapi\"<\/span>, \"llm-math\"<\/span>], llm=llm)<\/span>\n<\/span>\n# Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.<\/span><\/span>\nagent<\/span> = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True<\/span>)<\/span>\n<\/span>\n# Let's test it out!<\/span><\/span>\nagent.run(\"What was the high temperature in SF yesterday in Fahrenheit? What is that number raised to the .023 power?\")<\/span>\n<\/code><\/pre>\n
agent\u6bd4\u8f83\u590d\u6742\uff0c\u529f\u80fd\u4e5f\u5f88\u5f3a\u5927\uff0c\u540e\u7eed\u6211\u4eec\u4f1a\u8be6\u7ec6\u8bb2\u89e3\u3002<\/p>\n
Memory<\/h2>\n
\u6700\u540e\u8981\u8bb2\u89e3\u7684langchain\u7684\u4e00\u4e2a\u529f\u80fd\u5c31\u662fMemory\u3002<\/p>\n
\u56e0\u4e3a\u5f88\u591a\u65f6\u5019\uff0c\u6211\u4eec\u7684\u5e94\u7528\u5e94\u8be5\u662f\u4e00\u4e2a\u6709\u72b6\u6001\u7684\uff0c\u4e5f\u5c31\u662f\u8bf4\u5e94\u7528\u9700\u8981\u77e5\u9053\u4f60\u4e4b\u524d\u505a\u4e86\u4ec0\u4e48\uff0c\u8fd9\u6837\u624d\u53ef\u4ee5\u7ed9\u7528\u6237\u63d0\u4f9b\u66f4\u597d\u7684\u670d\u52a1\u3002<\/p>\n
\u4f46\u662f\u4e4b\u524d\u6211\u4eec\u5c06\u7684LLM\u6216\u8005chain\u90fd\u662f\u65e0\u72b6\u6001\u7684\u3002<\/p>\n
\u6240\u4ee5langchain\u63d0\u4f9b\u4e86\u4e00\u4e2aMemory\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u628a\u4e4b\u524d\u7684\u8f93\u5165\u8f93\u51fa\u4fdd\u5b58\u8d77\u6765\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u4f7f\u7528\u3002<\/p>\n
\u603b\u7ed3<\/h1>\n
\u6709\u4e86langchain\u7684\u5404\u79cd\u5de5\u5177\uff0c\u73b0\u5728\u4f60\u5c31\u53ef\u4ee5\u5feb\u901f\u5f00\u53d1\u4e00\u4e2a\u5c5e\u4e8e\u4f60\u81ea\u5df1\u7684LLM\u5e94\u7528\u5566\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u6700\u8fd1\u968f\u7740chatgpt\u7684\u5174\u8d77\uff0c\u4eba\u5de5\u667a\u80fd\u548c\u5927\u8bed\u8a00\u6a21\u578b\u53c8\u518d\u6b21\u8fdb\u5165\u4e86\u4eba\u4eec\u7684\u89c6\u91ce\uff0c\u4e0d\u540c\u7684\u662f\u8fd9\u4e00\u6b21\u50cf\u662f\u6765\u771f\u7684\uff0c\u5404\u5927\u516c\u53f8\u90fd\u5728\u62fc\u547d\u6295\u5165\uff0c\u5e0c\u671b\u80fd\u5728\u672a\u6765\u7684AI\u8d5b\u9053\u4e0a\u5360\u6709\u4e00\u5e2d\u4e4b\u5730\u3002\u56e0\u4e3aAI\u9700\u8981\u5927\u89c4\u6a21\u7684\u7b97\u529b\uff0c\u5c24\u5176\u662f\u5bf9<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_title":"LangChain\uff1a\u8f7b\u677e\u6784\u5efaAI\u5e94\u7528\u7684\u5229\u5668 - \u5948\u65af\u79d1\u6280\u793e\u533a","rank_math_description":"LangChain\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5f00\u53d1\u6846\u67b6\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u8f7b\u677e\u6784\u5efaAI\u5e94\u7528\u7a0b\u5e8f\u3002\u672c\u6587\u4ecb\u7ecd\u4e86LangChain\u7684\u529f\u80fd\u548c\u4f7f\u7528\u65b9\u6cd5\uff0c\u5305\u62ec\u5982\u4f55\u4e0eChatGPT\u7b49\u6a21\u578b\u96c6\u6210\uff0c\u4ee5\u53ca\u5982\u4f55\u4f7f\u7528Prompt\u6a21\u677f\u3001Chains\u3001Agents\u548cMemory\u7b49\u529f\u80fd\u3002","rank_math_focus_keyword":"langchain, \u5927\u8bed\u8a00\u6a21\u578b, AI \u5e94\u7528\u5f00\u53d1, chatgpt, \u4eba\u5de5\u667a\u80fd","views":"25","footnotes":""},"categories":[3],"tags":[136,126,127,128,129],"collection":[],"class_list":["post-1196","post","type-post","status-publish","format-standard","hentry","category-fenlei2","tag-136","tag-gpt","tag-ai","tag-128","tag-129"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/comments?post=1196"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1196\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1196"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}