class LLMSingleActionAgent {\r\n llm: AzureLLM\r\n tools: StructuredTool[]\r\n stop: string[]\r\n private _prompt: string = '{input}'\r\n constructor({ llm, tools = [], stop = [] }: LLMSingleActionAgentParams) {\r\n this.llm = llm\r\n this.tools = tools\r\n if (stop.length > 4)\r\n throw new Error('up to 4 stop sequences')\r\n this.stop = stop\r\n }\r\n }<\/code><\/pre>\n\u7b2c\u4e09\u6b65 \u5b9a\u4e49Tools<\/h3>\n
Tools\u6709\u4e24\u4e2a\u6700\u91cd\u8981\u7684\u53c2\u6570\uff0cname\u548cdescription\u3002<\/p>\n
Name\u5c31\u662f\u51fd\u6570\u540d\uff0cdescription\u662f\u5de5\u5177\u7684\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\uff0cLLM \u6839\u636edescription\u6765\u51b3\u5b9a\u662f\u5426\u9700\u8981\u4f7f\u7528\u8be5\u5de5\u5177\u3002\u5de5\u5177\u7684\u63cf\u8ff0\u5e94\u8be5\u975e\u5e38\u660e\u786e\uff0c\u8bf4\u660e\u5de5\u5177\u7684\u529f\u80fd\u3001\u4f7f\u7528\u7684\u65f6\u673a\u4ee5\u53ca\u4e0d\u9002\u7528\u7684\u60c5\u51b5\u3002<\/p>\n
export abstract class StructuredTool {\r\n name: string\r\n description: string\r\n constructor(name: string, description: string) {\r\n this.name = name\r\n this.description = description\r\n }\r\n\r\n abstract call(arg: string, config?: Record<string, any>): Promise<string>\r\n\r\n getSchema(): string {\r\n return `${this.declaration} | ${this.name} | ${this.description}`\r\n }\r\n\r\n abstract get declaration(): string\r\n}<\/code><\/pre>\n\u6211\u4eec\u5148\u7b80\u5355\u5730\u5c06\u4e24\u4e2a\u63cf\u8ff0\u4fe1\u606f\u62fc\u63a5\u4e00\u4e0b\uff0c\u4e3aAgent\u63d0\u4f9b4\u4e2a\u7b97\u6570\u5de5\u5177\uff1a<\/p>\n
1. Addition Tool: A tool for adding two numbers\r\n2. Subtraction Tool: A tool for subtracting two numbers\r\n3. Division Tool: A tool for dividing two numbers\r\n4.MultiplicationTool: Atoolformultiplyingtwonumbers<\/code><\/pre>\n\u4e00\u4e2a\u5f88\u6709\u610f\u601d\u7684\u4e8b\u60c5\u662f\uff0c\u8fd9\u51e0\u4e2a\u7b97\u6570\u5de5\u5177\u51fd\u6570\u5e76\u4e0d\u9700\u8981\u5b9e\u9645\u7684\u4ee3\u7801\uff0c\u5927\u6a21\u578b\u53ef\u4ee5\u4ec5\u9760\u81ea\u8eab\u7684\u63a8\u7406\u80fd\u529b\u5c31\u5b8c\u6210\u5b9e\u9645\u7684\u7b97\u6570\u8fd0\u7b97\u3002\u5f53\u7136\uff0c\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u5de5\u5177\u51fd\u6570\uff0c\u8fd8\u662f\u9700\u8981\u8fdb\u884c\u8be6\u7ec6\u7684\u4ee3\u7801\u6784\u5efa\u3002<\/p>\n
\u7b2c\u56db\u6b65 \u5faa\u73af\u6267\u884c<\/h3>\n
\u6267\u884c\u5668executor\u662f\u5728Agent\u7684\u8fd0\u884c\u65f6\uff0c\u534f\u8c03\u5404\u4e2a\u7ec4\u4ef6\u5e76\u6307\u5bfc\u64cd\u4f5c\u3002\u8fd8\u8bb0\u5f97ReAct\u6a21\u5f0f\u7684\u6d41\u7a0b\u5417\uff1fThought\u3001Action\u3001Observation\u3001\u5faa\u73af\uff0cExecutor\u7684\u4f5c\u7528\u5c31\u662f\u6267\u884c\u8fd9\u4e2a\u5faa\u73af\u3002<\/p>\n
class AgentExecutor {\r\n agent: LLMSingleActionAgent\r\n tools: StructuredTool[] = []\r\n maxIterations: number = 15\r\n\r\n constructor(agent: LLMSingleActionAgent) {\r\n this.agent = agent\r\n }\r\n \r\n addTool(tools: StructuredTool | StructuredTool[]) {\r\n const _tools = Array.isArray(tools) ? tools : [tools]\r\n this.tools.push(..._tools)\r\n }\r\n}<\/code><\/pre>\nexecutor\u4f1a\u59cb\u7ec8\u8fdb\u884c\u5982\u4e0b\u4e8b\u4ef6\u5faa\u73af\u76f4\u5230\u76ee\u6807\u88ab\u89e3\u51b3\u4e86\u6216\u8005\u601d\u8003\u8fed\u4ee3\u6b21\u6570\u8d85\u8fc7\u4e86\u6700\u5927\u6b21\u6570\uff1a<\/p>\n
\n- \u6839\u636e\u4e4b\u524d\u5df2\u7ecf\u5b8c\u6210\u7684\u6240\u6709\u6b65\u9aa4\uff08Thought\u3001Action\u3001Observation\uff09\u548c \u76ee\u6807\uff08\u7528\u6237\u7684\u95ee\u9898\uff09\uff0c\u89c4\u5212\u51fa\u63a5\u4e0b\u6765\u7684Action\uff08\u4f7f\u7528\u4ec0\u4e48\u5de5\u5177\u4ee5\u53ca\u5de5\u5177\u7684\u8f93\u5165\uff09<\/li>\n
- \u68c0\u6d4b\u662f\u5426\u5df2\u7ecf\u8fbe\u6210\u76ee\u6807\uff0c\u5373Action\u662f\u4e0d\u662fActionFinish\u3002\u662f\u7684\u8bdd\u5c31\u8fd4\u56de\u7ed3\u679c\uff0c\u4e0d\u662f\u7684\u8bdd\u8bf4\u660e\u8fd8\u6709\u884c\u52a8\u8981\u5b8c\u6210<\/li>\n
- \u6839\u636eAction\uff0c\u6267\u884c\u5177\u4f53\u7684\u5de5\u5177\uff0c\u7b49\u5f85\u5de5\u5177\u8fd4\u56de\u7ed3\u679c\u3002\u5de5\u5177\u8fd4\u56de\u7684\u7ed3\u679c\u5c31\u662f\u8fd9\u4e00\u8f6e\u6b65\u9aa4\u7684Observation<\/li>\n
- \u4fdd\u5b58\u5f53\u524d\u6b65\u9aa4\u5230\u8bb0\u5fc6\u4e0a\u4e0b\u6587\uff0c\u5982\u6b64\u53cd\u590d<\/li>\n<\/ul>\n
async call(input: promptInputs): Promise<AgentFinish> {\r\n const toolsByName = Object.fromEntries(\r\n this.tools.map(t => [t.name, t]),\r\n )\r\n\r\n const steps: AgentStep[] = []\r\n let iterations = 0\r\n\r\n while (this.shouldContinue(iterations)) {\r\n const output = await this.agent.plan(steps, input)\r\n console.log(iterations, output)\r\n\r\n \/\/ Check if the agent has finished\r\n if ('returnValues' in output)\r\n return output\r\n\r\n const actions = Array.isArray(output)\r\n ? output as AgentAction[]\r\n : [output as AgentAction]\r\n\r\n const newSteps = await Promise.all(\r\n actions.map(async (action) => {\r\n const tool = toolsByName[action.tool]\r\n\r\n if (!tool)\r\n throw new Error(`${action.tool} is not a valid tool, try another one.`)\r\n\r\n const observation = await tool.call(action.toolInput)\r\n\r\n return { action, observation: observation ?? '' }\r\n }),\r\n )\r\n\r\n steps.push(...newSteps)\r\n\r\n iterations++\r\n }\r\n\r\n return {\r\n returnValues: { output: 'Agent stopped due to max iterations.' },\r\n log: '',\r\n }\r\n }<\/code><\/pre>\n\u7b2c\u4e94\u6b65 \u5b9e\u9645\u8fd0\u884c<\/h3>\n
\u6211\u4eec\u63d0\u51fa\u4e00\u4e2a\u95ee\u9898\uff0c\u770b\u770bAgent\u600e\u4e48\u901a\u8fc7ReAct\u65b9\u5f0f\u8fdb\u884c\u89e3\u51b3\u3002 “\u4e00\u79cd\u51cf\u901f\u673a\u7684\u4ef7\u683c\u662f750\u5143\uff0c\u4e00\u5bb6\u4f01\u4e1a\u9700\u8981\u8d2d\u4e7012\u53f0\u3002\u6bcf\u53f0\u51cf\u901f\u673a\u8fd0\u884c\u4e00\u5c0f\u65f6\u7684\u7535\u8d39\u662f0.5\u5143\uff0c\u4f01\u4e1a\u6bcf\u5929\u8fd0\u884c\u8fd9\u4e9b\u51cf\u901f\u673a8\u5c0f\u65f6\u3002\u8bf7\u8ba1\u7b97\u4f01\u4e1a\u8d2d\u4e70\u53ca\u4e00\u5468\u8fd0\u884c\u8fd9\u4e9b\u51cf\u901f\u673a\u7684\u603b\u82b1\u8d39\u3002”<\/p>\n
describe('agent', () => {\r\n const llm = new AzureLLM({\r\n apiKey: Config.apiKey,\r\n model: Config.model,\r\n })\r\n const agent = new LLMSingleActionAgent({ llm })\r\n agent.setPrompt(REACT_PROMPT)\r\n agent.addStop(agent.observationPrefix)\r\n agent.addTool([new AdditionTool(), new SubtractionTool(), new DivisionTool(), new MultiplicationTool()])\r\n\r\n const executor = new AgentExecutor(agent)\r\n executor.addTool([new AdditionTool(), new SubtractionTool(), new DivisionTool(), new MultiplicationTool()])\r\n it('test', async () => {\r\n const res = await executor.call({ input: '\u4e00\u79cd\u51cf\u901f\u673a\u7684\u4ef7\u683c\u662f750\u5143\uff0c\u4e00\u5bb6\u4f01\u4e1a\u9700\u8981\u8d2d\u4e7012\u53f0\u3002\u6bcf\u53f0\u51cf\u901f\u673a\u8fd0\u884c\u4e00\u5c0f\u65f6\u7684\u7535\u8d39\u662f0.5\u5143\uff0c\u4f01\u4e1a\u6bcf\u5929\u8fd0\u884c\u8fd9\u4e9b\u51cf\u901f\u673a8\u5c0f\u65f6\u3002\u8bf7\u8ba1\u7b97\u4f01\u4e1a\u8d2d\u4e70\u53ca\u4e00\u5468\u8fd0\u884c\u8fd9\u4e9b\u51cf\u901f\u673a\u7684\u603b\u82b1\u8d39\u3002' })\r\n expect(res).toMatchInlineSnapshot(`\r\n {\r\n \"log\": \"Final Answer: The total cost of purchasing and operating the gearboxes for a week is 9336 yuan.\",\r\n \"returnValues\": {\r\n \"output\": \"The total cost of purchasing and operating the gearboxes for a week is 9336 yuan.\",\r\n },\r\n }\r\n `)\r\n }, { timeout: 50000 })\r\n})<\/code><\/pre>\n\u6211\u4eec\u6765\u770b\u4e00\u4e0bAgent\u7684\u8f93\u51fa\uff0c\u4ee5\u53caAgent\u5728\u8fd9\u4e2a\u8fc7\u7a0b\uff0c\u662f\u5982\u4f55\u601d\u8003\u548c\u884c\u52a8\u7684\u3002\u53ef\u4ee5\u770b\u5230\uff0c\u901a\u8fc7Thought\u3001Action\u3001Observation\u7684\u5faa\u73af\uff0cAI Agent\u5f88\u597d\u5730\u4e00\u6b65\u6b65\u5b8c\u6210\u6700\u7ec8\u7b54\u6848\u7684\u8f93\u51fa\u3002<\/p>\n
Question:\u4e00\u79cd\u51cf\u901f\u673a\u7684\u4ef7\u683c\u662f750\u5143\uff0c\u4e00\u5bb6\u4f01\u4e1a\u9700\u8981\u8d2d\u4e7012\u53f0\u3002\u6bcf\u53f0\u51cf\u901f\u673a\u8fd0\u884c\u4e00\u5c0f\u65f6\u7684\u7535\u8d39\u662f0.5\u5143\uff0c\u4f01\u4e1a\u6bcf\u5929\u8fd0\u884c\u8fd9\u4e9b\u51cf\u901f\u673a8\u5c0f\u65f6\u3002\u8bf7\u8ba1\u7b97\u4f01\u4e1a\u8d2d\u4e70\u53ca\u4e00\u5468\u8fd0\u884c\u8fd9\u4e9b\u51cf\u901f\u673a\u7684\u603b\u82b1\u8d39\r\nThought:I need to calculate the total cost of purchasing and operating the gearboxes for a week.\r\nAction: Multiplication Tool\r\nAction Input: [750, 12]\r\nObservation: 9000\r\nThought: Now I need to calculate the cost of operating the gearboxes for a day.\r\nAction: Multiplication Tool\r\nActionInput:[0.5,8,12]\r\nObservation: 48\r\nThought: Now I need to calculate the cost of operating the gearboxes for a week.\r\nAction: Multiplication Tool\r\nAction Input: [48, 7]\r\nObservation: 336\r\nThought: Now I need to calculate the total cost of purchasing and operating the gearboxes for a week.\r\nAction: Addition Tool\r\nAction Input: [9000, 336]\r\nObservation: 9336<\/code><\/pre>\n\u603b\u7ed3<\/h2>\n
\u5728AI Agent\u7684\u591a\u79cd\u5b9e\u73b0\u6a21\u5f0f\u4e2d\uff0cReAct\u6a21\u5f0f\u662f\u6700\u65e9\u51fa\u73b0\u3001\u4e5f\u662f\u76ee\u524d\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u6a21\u5f0f\u3002ReAct\u7684\u6838\u5fc3\u601d\u60f3\u5c31\u662f\u6a21\u62df\u4eba\u601d\u8003\u548c\u884c\u52a8\u7684\u8fc7\u7a0b\uff0c\u901a\u8fc7Thought\u3001Action\u3001Observation\u7684\u5faa\u73af\uff0c\u4e00\u6b65\u6b65\u89e3\u51b3\u76ee\u6807\u95ee\u9898\u3002<\/p>\n
ReAct\u6a21\u5f0f\u4e5f\u5b58\u5728\u5f88\u591a\u7684\u4e0d\u8db3\uff1a<\/p>\n
\n- \u9996\u5148\u662fLLM\u5927\u6a21\u578b\u7684\u901a\u75c5\uff0c\u5373\u4ea7\u51fa\u5185\u5bb9\u4e0d\u7a33\u5b9a\uff0c\u4e0d\u4ec5\u4ec5\u662f\u8f93\u51fa\u5185\u5bb9\u5b58\u5728\u6ce2\u52a8\uff0c\u4e5f\u4f53\u73b0\u5728\u5bf9\u590d\u6742\u95ee\u9898\u7684\u5206\u6790\uff0c\u89e3\u51b3\u4e0a\u5b58\u5728\u4e00\u5b9a\u7684\u6ce2\u52a8<\/li>\n
- \u7136\u540e\u662f\u6210\u672c\uff0c\u91c7\u7528ReAct\u65b9\u5f0f\uff0c\u6211\u4eec\u662f\u65e0\u6cd5\u63a7\u5236\u8f93\u5165\u5185\u5bb9\u7684\u3002\u56e0\u4e3a\u5728\u4efb\u52a1\u63d0\u4ea4\u7ed9LLM\u540e\uff0cLLM\u5bf9\u4efb\u52a1\u7684\u62c6\u89e3\u3001\u5faa\u73af\u6b21\u6570\u662f\u4e0d\u53ef\u63a7\u7684\u3002\u56e0\u6b64\u5b58\u5728\u4e00\u79cd\u53ef\u80fd\u6027\uff0c\u8fc7\u4e8e\u590d\u6742\u7684\u4efb\u52a1\u5bfc\u81f4Token\u8fc7\u91cf\u6d88\u8017\u3002<\/li>\n
- \u6700\u540e\u662f\u54cd\u5e94\u65f6\u95f4\uff0c\u6bd4\u8d77\u5927\u90e8\u5206API\u63a5\u53e3\u6beb\u79d2\u7ea7\u7684\u54cd\u5e94\uff0cLLM\u54cd\u5e94\u65f6\u95f4\u662f\u79d2\u7ea7\u4ee5\u4e0a\u3002\u5728ReAct\u6a21\u5f0f\u4e0b\uff0c\u8fd9\u4e2a\u65f6\u95f4\u53d8\u5f97\u66f4\u52a0\u4e0d\u53ef\u63a7\u3002\u56e0\u4e3a\u65e0\u6cd5\u786e\u5b9a\u9700\u8981\u62c6\u5206\u591a\u5c11\u6b65\u9aa4\uff0c\u9700\u8981\u8bbf\u95ee\u591a\u5c11\u6b21LLM\u6a21\u578b\u3002\u56e0\u6b64\u5728\u5728\u79d2\u7ea7\u63a5\u53e3\u54cd\u5e94\u7684\u80cc\u666f\u4e0b\uff0c\u505a\u6210\u540c\u6b65\u63a5\u53e3\u663e\u7136\u662f\u4e0d\u5408\u9002\u7684\uff0c\u9700\u8981\u91c7\u7528\u5f02\u6b65\u7684\u65b9\u5f0f\u3002\u800c\u5f02\u6b65\u65b9\u5f0f\uff0c\u53c8\u4f1a\u5f71\u54cd\u7528\u6237\u4f53\u9a8c\uff0c\u5bf9\u5e94\u7528\u573a\u666f\u7684\u9009\u62e9\u53c8\u9020\u6210\u4e86\u9650\u5236\u3002<\/li>\n<\/ul>\n
\u4f46\u662f\u65e0\u8bba\u5982\u4f55\uff0cReAct\u6846\u67b6\u63d0\u51fa\u4e86\u4e00\u79cd\u975e\u5e38\u597d\u7684\u601d\u8def\uff0c\u8ba9\u73b0\u6709\u7684\u5e94\u7528\u5f97\u5230\u4e00\u6b21\u667a\u80fd\u5316\u7684\u8fdb\u5316\u673a\u4f1a\u3002\u73b0\u5728\u5f88\u591a\u573a\u666f\u5df2\u7ecf\u6709\u4e86\u975e\u5e38\u6210\u719f\u7684ReAct Agent\u5e94\u7528\uff0c\u6bd4\u5982\u667a\u80fd\u5ba2\u670d\u3001\u77e5\u8bc6\u52a9\u624b\u3001\u4e2a\u6027\u5316\u8425\u9500\u3001\u667a\u80fd\u9500\u552e\u52a9\u7406\u7b49\u7b49\u3002<\/p>\n
\u5728\u4e0b\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u98ce\u53d4\u5c06\u4ecb\u7ecd\u53e6\u4e00\u79cdAI Agent\u8bbe\u8ba1\u6a21\u5f0f\uff0cREWOO\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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