{"id":694498,"date":"2026-03-30T03:48:41","date_gmt":"2026-03-30T02:48:41","guid":{"rendered":"https:\/\/blog.jetbrains.com\/?post_type=ai&#038;p=694498"},"modified":"2026-03-30T03:54:10","modified_gmt":"2026-03-30T02:54:10","slug":"koog-comes-to-java","status":"publish","type":"ai","link":"https:\/\/blog.jetbrains.com\/zh-hans\/ai\/2026\/03\/koog-comes-to-java\/","title":{"rendered":"Koog \u767b\u9646 Java\uff1aJetBrains \u63a8\u51fa\u4f01\u4e1a\u7ea7 AI \u667a\u80fd\u4f53\u6846\u67b6"},"content":{"rendered":"<p>\u5411\u4f01\u4e1a\u540e\u7aef\u6dfb\u52a0 AI \u667a\u80fd\u4f53\u4e0d\u5e94\u4ee5\u7834\u574f\u67b6\u6784\u4e3a\u4ee3\u4ef7\u3002\u5982\u679c\u60a8\u7684\u6838\u5fc3\u7cfb\u7edf\u662f\u4f7f\u7528 Java \u6784\u5efa\u7684\uff0c\u7f16\u6392 LLM \u5e76\u4e0d\u9700\u8981\u60a8\u5f15\u5165\u5355\u72ec\u7684 Python \u5fae\u670d\u52a1\u6216\u91cd\u5199\u6280\u672f\u6808\u3002<\/p>\n<p>\u4eca\u5929\uff0c\u6211\u4eec\u6b63\u5f0f\u53d1\u5e03 <a href=\"https:\/\/www.jetbrains.com.cn\/koog\/\" target=\"_blank\" rel=\"noreferrer noopener\">Koog for Java<\/a>\u3002Koog \u6700\u521d\u662f\u4e3a\u4e86\u6ee1\u8db3 JetBrains \u81ea\u8eab\u6d3b\u52a8\u6269\u5c55\u9700\u6c42\u800c\u6784\u5efa\u7684\uff0c\u5b83\u4f7f\u7528\u7ed3\u6784\u5316\u3001\u53ef\u89c2\u6d4b\u4e14\u5177\u5907\u5bb9\u9519\u80fd\u529b\u7684\u5de5\u4f5c\u6d41\u53d6\u4ee3\u4e86\u4e0d\u53ef\u9884\u6d4b\u3001\u4e34\u65f6\u7684\u63d0\u793a\u66f4\u6539\u65b9\u6cd5\u3002<\/p>\n<p>\u5982\u4eca\uff0cJVM \u6700\u5f3a\u5927\u7684\u667a\u80fd\u4f53\u6846\u67b6\u4e4b\u4e00\u62e5\u6709\u4e86\u5b8c\u5168\u7b26\u5408 Java \u60ef\u7528\u98ce\u683c\u7684 API\u3002\u60a8\u7684 Java \u56e2\u961f\u53ef\u4ee5\u76f4\u63a5\u5728\u73b0\u6709\u540e\u7aef\u4e2d\u6784\u5efa\u53ef\u9760\u7684 AI \u667a\u80fd\u4f53\uff0c\u501f\u52a9\u6d41\u7545\u7684\u6784\u5efa\u5668\u98ce\u683c API\u3001\u7ebf\u7a0b\u6c60\u6267\u884c\u5668\u548c\u539f\u751f Java \u62bd\u8c61\uff0c\u5b8c\u5168\u4e0d\u9700\u8981\u62c5\u5fc3\u4efb\u4f55\u4e0e Kotlin \u4e0d\u517c\u5bb9\u7684\u95ee\u9898\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>Koog for Java \u7684\u529f\u80fd<\/strong><\/h3>\n<p>Java API \u53ef\u4ee5\u8bbf\u95ee Koog \u7684\u6240\u6709\u529f\u80fd\uff1a<\/p>\n<ul>\n<li><strong>\u591a\u79cd\u5de5\u4f5c\u6d41\u7b56\u7565<\/strong>\uff08\u51fd\u6570\u5f0f\u3001\u57fa\u4e8e\u56fe\u548c\u57fa\u4e8e\u89c4\u5212\uff09\uff1a\u7cbe\u51c6\u63a7\u5236\u667a\u80fd\u4f53\u6267\u884c\u4efb\u52a1\u7684\u65b9\u5f0f\u3002<\/li>\n<li><strong>Spring Boot \u96c6\u6210<\/strong>\uff1a\u76f4\u63a5\u5c06 Koog \u96c6\u6210\u5230\u73b0\u6709\u7684 Spring \u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002<\/li>\n<li><strong>\u652f\u6301\u6240\u6709\u4e3b\u6d41 LLM \u63d0\u4f9b\u5546<\/strong>\uff1a\u4f7f\u7528 OpenAI\u3001Anthropic\u3001Google\u3001DeepSeek\u3001Ollama \u7b49\u7684\u9996\u9009\u6a21\u578b\u3002<\/li>\n<li><strong>\u901a\u8fc7\u6301\u4e45\u6027\u529f\u80fd\u5b9e\u73b0\u5bb9\u9519<\/strong>\uff1a\u6545\u969c\u540e\u6062\u590d\u4e4b\u524d\u7684\u8fdb\u5ea6\uff0c\u65e0\u9700\u91cd\u590d\u5f00\u9500\u5927\u7684 LLM \u8c03\u7528\u3002<\/li>\n<li><strong>\u901a\u8fc7 OpenTelemetry \u5b9e\u73b0\u53ef\u89c2\u6d4b\u6027<\/strong>\uff1a\u5168\u9762\u4e86\u89e3\u667a\u80fd\u4f53\u6267\u884c\u3001token \u4f7f\u7528\u60c5\u51b5\u548c\u6210\u672c\uff0c\u5e76\u76f4\u63a5\u652f\u6301 Langfuse \u548c W&amp;B Weave<\/li>\n<li><strong>\u5386\u53f2\u8bb0\u5f55\u538b\u7f29<\/strong>\uff1a\u51cf\u5c11 token \u4f7f\u7528\u91cf\uff0c\u5e76\u5728\u5927\u89c4\u6a21\u4f7f\u7528\u65f6\u4f18\u5316\u6210\u672c<\/li>\n<li><strong>\u8fd8\u6709\u66f4\u591a\uff01<\/strong><\/li>\n<\/ul>\n<p>\u7ee7\u7eed\u9605\u8bfb\uff0c\u4e86\u89e3\u901a\u8fc7 Koog \u4f7f\u7528 Java \u6784\u5efa\u667a\u80fd\u4f53\u7684\u65b9\u6cd5\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u8bbe\u7f6e\u7b80\u5355<\/strong><\/h3>\n<p>\u5c06\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u4e0e\u60a8\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u51fd\u6570\uff08\u7edf\u79f0\u4e3a\u201c\u5de5\u5177\u201d\uff09\u76f8\u5173\u8054\uff0cAI \u667a\u80fd\u4f53\u4fbf\u4f1a\u8fd0\u8f6c\u8d77\u6765\u3002LLM \u4f1a\u6839\u636e\u60a8\u4e3a\u5176\u6307\u5b9a\u7684\u4efb\u52a1\u786e\u5b9a\u8981\u8c03\u7528\u7684\u5de5\u5177\u548c\u8c03\u7528\u6761\u4ef6\u3002\u4f7f\u7528 Java \u6784\u5efa\u667a\u80fd\u4f53\u65f6\uff0c\u9996\u5148\u8981\u5b9a\u4e49\u8fd9\u4e9b\u5de5\u5177\u3002\u4f7f\u7528 <code>@Tool<\/code> \u4e3a\u73b0\u6709\u7684 Java \u65b9\u6cd5\u6dfb\u52a0\u6ce8\u89e3\u548c\u63cf\u8ff0\uff0c\u4ee5\u4fbf LLM \u7406\u89e3\u6bcf\u4e2a\u51fd\u6570\u7684\u529f\u80fd\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">public class BankingTools implements ToolSet {\n    @Tool\n    @LLMDescription(\"Sends money to a recipient\")\n    public Boolean sendMoney(\n        @LLMDescription(\"Unique identifier of the recipient\")\n        String recipientId,\n        Integer amount\n    ) {\n        return true; \/\/ Your implementation here\n    }\n\n    @Tool\n    @LLMDescription(\"Account balance in $\")\n    public Integer getAccountBalance(String userId) {\n        return 1000000; \/\/ Your implementation here\n    }\n}<\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528\u6784\u5efa\u5668 API \u521b\u5efa\u667a\u80fd\u4f53\u3002\u60a8\u9700\u8981\u914d\u7f6e\u8981\u4f7f\u7528\u7684 LLM \u63d0\u4f9b\u5546\uff08OpenAI\u3001Anthropic \u7b49\uff09\u3001\u8bbe\u7f6e\u5b9a\u4e49\u667a\u80fd\u4f53\u89d2\u8272\u7684\u7cfb\u7edf\u63d0\u793a\uff0c\u5e76\u6ce8\u518c\u60a8\u7684\u5de5\u5177\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">\/\/ Connect to one or more LLM providers\nvar promptExecutor = new MultiLLMPromptExecutor(\n    new OpenAILLMClient(\"OPENAI_API_KEY\"),\n    new AnthropicLLMClient(\"ANTHROPIC_API_KEY\")\n);\n\n\/\/ Build the agent\nvar bankingAgent = AIAgent.builder()\n    .promptExecutor(promptExecutor)\n    .llmModel(OpenAIModels.Chat.GPT5_2)  \/\/ Choose which model to use\n    .systemPrompt(\"You're a banking assistant\")  \/\/ Define the agent's role\n    .toolRegistry(\n        ToolRegistry.builder()\n            .tools(new BankingTools())  \/\/ Register your tools\n            .build()\n    )\n    .build();\n\n\/\/ Run the agent with a user task\nbankingAgent.run(\"Send 100$ to my friend Mike (mike_1234) if I have enough money\");\n<\/pre>\n<p>\u5f53\u60a8\u8fd0\u884c\u6b64\u667a\u80fd\u4f53\u65f6\uff0c\u5b83\u5c06\uff1a<\/p>\n<ol>\n<li>\u4f7f\u7528 <code>getAccountBalance()<\/code> \u68c0\u67e5\u5e10\u6237\u4f59\u989d<\/li>\n<li>\u5982\u679c\u8d44\u91d1\u5145\u8db3\uff0c\u5219\u4f7f\u7528\u6b63\u786e\u7684\u5f62\u53c2\u8c03\u7528 <code>sendMoney()<\/code><\/li>\n<li>\u5411\u7528\u6237\u8fd4\u56de\u54cd\u5e94<\/li>\n<\/ol>\n<p>\u8fd9\u6837\u4e00\u6765\uff0c\u60a8\u7684 Java \u5e94\u7528\u7a0b\u5e8f\u7684\u529f\u80fd\u4fbf\u4f1a\u4e0e\u4e00\u4e2a\u5b8c\u5168\u81ea\u4e3b\u7684 AI \u667a\u80fd\u4f53\u5173\u8054\u8d77\u6765\uff0c\u8be5\u667a\u80fd\u4f53\u53ef\u4ee5\u81ea\u4e3b\u5224\u65ad\u6267\u884c\u7684\u64cd\u4f5c\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u901a\u8fc7\u81ea\u5b9a\u4e49\u7b56\u7565\u5b9e\u73b0\u53ef\u9884\u6d4b\u7684\u5de5\u4f5c\u6d41<\/strong><\/h3>\n<p>\u5728\u4e0a\u9762\u7684\u7b80\u5355\u793a\u4f8b\u4e2d\uff0c\u6240\u6709\u51b3\u7b56\u7531 LLM \u81ea\u4e3b\u5b8c\u6210\uff0c\u5305\u62ec\u8c03\u7528\u7684\u5de5\u5177\u548c\u5de5\u5177\u7684\u8c03\u7528\u987a\u5e8f\u3002\u4f46\u5bf9\u4e8e\u751f\u4ea7\u7cfb\u7edf\u6765\u8bf4\uff0c\u901a\u5e38\u9700\u8981\u66f4\u7cbe\u7ec6\u7684\u63a7\u5236\u3002\u5982\u679c\u60a8\u8981\u786e\u4fdd\u67d0\u4e9b\u64cd\u4f5c\u5728\u5176\u4ed6\u64cd\u4f5c\u4e4b\u524d\u6267\u884c\uff0c\u8be5\u600e\u4e48\u529e\uff1f \u8981\u9650\u5236\u6bcf\u4e2a\u6b65\u9aa4\u53ef\u7528\u7684\u5de5\u5177\u5462\uff1f \u8981\u5b9e\u73b0\u9a8c\u8bc1\u5faa\u73af\u5462\uff1f<\/p>\n<p>Koog \u63d0\u4f9b\u4e86\u4e0d\u540c\u7684\u65b9\u5f0f\u6765\u5b9a\u4e49\u667a\u80fd\u4f53\u5de5\u4f5c\u6d41\uff1a\u51fd\u6570\u5f0f\uff08\u57fa\u4e8e\u4ee3\u7801\uff09\u3001\u57fa\u4e8e\u56fe\u548c\u57fa\u4e8e\u89c4\u5212\u3002<\/p>\n<p><strong>\u51fd\u6570\u5f0f\u7b56\u7565<\/strong>\u5141\u8bb8\u60a8\u5728\u4ee3\u7801\u4e2d\u7f16\u6392\u4e2a\u522b\u667a\u80fd\u4f53\u6b65\u9aa4\u3002\u53ef\u4ee5\u5c06\u6b64\u7b56\u7565\u5f53\u4f5c\u7f16\u5199\u5e38\u89c4 Java \u65b9\u6cd5\uff0c\u4f46\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u53ef\u80fd\u6d89\u53ca LLM \u8c03\u7528\u548c\u5de5\u5177\u6267\u884c\u3002\u60a8\u5c06\u5927\u578b\u4efb\u52a1\u62c6\u5206\u4e3a\u8f83\u5c0f\u7684\u5b50\u4efb\u52a1\uff0c\u6bcf\u4e2a\u5b50\u4efb\u52a1\u90fd\u6709\u81ea\u5df1\u7684\u63d0\u793a\u3001\u9650\u5b9a\u7684\u5de5\u5177\u96c6\u548c\u7c7b\u578b\u5b89\u5168\u7684\u8f93\u5165\/\u8f93\u51fa\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">var functionalAgent = AIAgent.builder()\n    .promptExecutor(promptExecutor)\n    .functionalStrategy(\"my-strategy\", (ctx, userInput) -&gt; {\n        \/\/ Step 1: First, identify the problem\n        \/\/ Only give the agent communication and read-only database access here\n        ProblemDescription problem = ctx\n            .subtask(\"Identify the problem: $userInput\")\n            .withOutput(ProblemDescription.class)  \/\/ Type-safe output\n            .withTools(communicationTools, databaseReadTools)  \/\/ Limited tools\n            .run();\n\n        \/\/ Step 2: Now solve the problem\n        \/\/ Give the agent database write access only after problem identification\n        ProblemSolution solution = ctx\n            .subtask(\"Solve the problem: $problem\") \/\/ Use output from step 1\n            .withOutput(ProblemSolution.class)\n            .withTools(databaseReadTools, databaseWriteTools)\n            .run();\n\n        \/\/ Verify the solution and try to fix it until the solution is satisfying\n        while (true) {\n            var verificationResult = ctx\n                .subtask(\"Now verify that the problem is actually solved: $solution\")\n                .withVerification()\n                .withTools(communicationTools, databaseReadTools)\n                .run();\n\n            if (verificationResult.isSuccessful()) {\n                return problemSolution;\n            } else {\n                problemSolution = ctx\n                    .subtask(\"Fix the solution based on the provided feedback: ${verificationResult.getFeedback()}\")\n                    .withOutput(ProblemSolution.class)\n                    .withTools(databaseReadTools, databaseWriteTools)\n                    .run();\n            }\n        }\n\n    })\n    .build();<\/pre>\n<p>\u5229\u7528\u6b64\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u7075\u6d3b\u7f16\u5199\u4ee3\u7801\uff0c\u540c\u65f6\u4ecd\u80fd\u591f\u4e3a\u4e2a\u522b\u6b65\u9aa4\u4f7f\u7528 AI \u667a\u80fd\u4f53\u3002\u8bf7\u6ce8\u610f\u60a8\u63a7\u5236\u64cd\u4f5c\u987a\u5e8f\u7684\u65b9\u5f0f\u4ee5\u53ca\u6bcf\u4e2a\u6b65\u9aa4\u53ef\u7528\u7684\u5de5\u5177\u3002\u60a8\u53ef\u4ee5\u5728<a href=\"https:\/\/github.com\/JetBrains\/koog\/blob\/develop\/examples\/simple-examples-java\/src\/main\/java\/ai\/koog\/agents\/example\/strategies\/functional\/FunctionalStrategyExample.java\" target=\"_blank\" rel=\"noopener\">\u6b64\u5904<\/a>\u67e5\u770b\u5b8c\u6574\u7684\u53ef\u8fd0\u884c\u793a\u4f8b\u3002<\/p>\n<p><strong>\u56fe\u7b56\u7565<\/strong>\u5c06\u5de5\u4f5c\u6d41\u5b9a\u4e49\u4e3a\u5177\u6709\u7c7b\u578b\u5b89\u5168\u8282\u70b9\u548c\u8fb9\u7f18\u7684\u6709\u9650\u72b6\u6001\u673a\u3002\u4e0e\u51fd\u6570\u5f0f\u7b56\u7565\u4e0d\u540c\u7684\u662f\uff0c\u56fe\u7b56\u7565\u5c06\u903b\u8f91\uff08\u8282\u70b9\u548c\u8fb9\u7f18\uff09\u4e0e\u5176\u6267\u884c\u5206\u79bb\u3002\u8fd9\u6837\u4fbf\u53ef\u5b9e\u73b0\u8bf8\u5982\u7ec6\u7c92\u5ea6\u6301\u4e45\u6027\u7b49\u5f3a\u5927\u529f\u80fd \u2013 \u5982\u679c\u60a8\u7684\u667a\u80fd\u4f53\u5d29\u6e83\uff0c\u5b83\u53ef\u4ee5\u4ece\u505c\u6b62\u7684\u786e\u5207\u8282\u70b9\u6062\u590d\uff0c\u800c\u65e0\u9700\u4ece\u5934\u5f00\u59cb\u6267\u884c\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">var graphAgent = AIAgent.builder()\n    .graphStrategy(builder -&gt; {\n        \/\/ Define the overall graph structure\n        var graph = builder\n            .withInput(String.class)\n            .withOutput(ProblemSolution.class);\n\n        \/\/ Define workflow elements: individual nodes (steps) and subgraphs\n        var identifyProblem = AIAgentSubgraph.builder()\n            .withInput(String.class)\n            .withOutput(ProblemDescription.class)\n            .limitedTools(communicationTools, databaseReadTools)\n            .withTask(input -&gt; \"Identify the problem\")\n            .build();\n\n        var solveProblem = \u2026 \/\/ subgraph for solving a problem\n        \n        var verifySolution = \u2026 \/\/ subgraph for verifying a solution\n        \n        var fix = ...\/\/ subgraph for fixing a problem\n\n        \/\/ Connect the nodes with edges to define execution flow\n        graph.edge(graph.nodeStart, identifyProblem);\n        graph.edge(identifyProblem, solveProblem);\n        graph.edge(solveProblem, verifySolution);\n\n        \/\/ Conditional edges: if verification succeeds, finish; otherwise, attempt a fix\n        graph.edge(AIAgentEdge.builder()\n        \t.from(verifySolution)\n        \t.to(graph.nodeFinish)\n        \t.onCondition(CriticResult::isSuccessful)\n        \t.transformed(CriticResult::getInput)\n        \t.build());\n\n        graph.edge(AIAgentEdge.builder()\n        \t.from(verifySolution)\n        \t.to(fix)\n        \t.onCondition(verification -&gt; !verification.isSuccessful())\n        \t.transformed(CriticResult::getFeedback)\n        \t.build());\n\n        graph.edge(fix, verifySolution);\n\n        return graph.build();\n    })\n    .build();<\/pre>\n<p>\u5982\u679c\u60a8\u9700\u8981\u6301\u4e45\u3001\u590d\u6742\u7684\u5206\u652f\u903b\u8f91\uff0c\u6216\u5e0c\u671b\u76f4\u89c2\u5448\u73b0\u667a\u80fd\u4f53\u7684\u5de5\u4f5c\u6d41\uff0c\u56fe\u7b56\u7565\u662f\u7406\u60f3\u7684\u9009\u62e9\u3002\u60a8\u53ef\u4ee5\u4e0e ML \u540c\u4e8b\u5171\u4eab\u53ef\u89c6\u5316\u5185\u5bb9\u5e76\u8fdb\u884c\u8ba8\u8bba\uff1a<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-694514 size-full\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_qzi0ohqzi0ohqzi0.png\" alt=\"\" width=\"2730\" height=\"1536\" \/><\/figure>\n<p>\u6bcf\u4e2a\u8282\u70b9\u90fd\u662f\u7c7b\u578b\u5b89\u5168\u7684\uff0c\u4ece\u800c\u786e\u4fdd\u4e00\u4e2a\u8282\u70b9\u7684\u8f93\u51fa\u4e0e\u4e0b\u4e00\u4e2a\u8282\u70b9\u7684\u9884\u671f\u8f93\u5165\u76f8\u5339\u914d\u3002\u60a8\u53ef\u4ee5\u5728<a href=\"https:\/\/github.com\/JetBrains\/koog\/blob\/develop\/examples\/simple-examples-java\/src\/main\/java\/ai\/koog\/agents\/example\/strategies\/GraphStrategyExample.java\" target=\"_blank\" rel=\"noopener\">\u6b64\u5904<\/a>\u67e5\u770b\u5b8c\u6574\u793a\u4f8b\u3002<\/p>\n<p><strong>\u89c4\u5212\u7b56\u7565<\/strong>\u4f7f\u7528\u4ee5\u76ee\u6807\u4e3a\u5bfc\u5411\u7684\u884c\u52a8\u89c4\u5212 (GOAP) \u6216\u57fa\u4e8e LLM \u7684\u89c4\u5212\u3002\u60a8\u65e0\u9700\u5b9a\u4e49\u5177\u4f53\u7684\u6267\u884c\u987a\u5e8f\uff0c\u800c\u662f\u5b9a\u4e49\uff1a<\/p>\n<ul>\n<li>\u53ef\u7528\u64cd\u4f5c\u53ca\u5176\u524d\u63d0\u6761\u4ef6\uff08\u64cd\u4f5c\u7684\u8fd0\u884c\u6761\u4ef6\uff09<\/li>\n<li>\u6548\u679c\uff08\u5b83\u4eec\u5bf9\u667a\u80fd\u4f53\u72b6\u6001\u7684\u66f4\u6539\uff09<\/li>\n<li>\u76ee\u6807\u6761\u4ef6\uff08\u667a\u80fd\u4f53\u5e94\u5b9e\u73b0\u7684\u76ee\u6807\uff09<\/li>\n<\/ul>\n<p>\u89c4\u5212\u5668\u4f1a\u81ea\u52a8\u627e\u51fa\u4e3a\u8fbe\u5230\u76ee\u6807\u800c\u91c7\u7528\u7684\u6700\u4f73\u64cd\u4f5c\u6267\u884c\u987a\u5e8f\u3002\u5bf9\u4e8e\u5b58\u5728\u591a\u79cd\u53ef\u884c\u8def\u5f84\u7684\u590d\u6742\u573a\u666f\uff0c\u6216\u8005\u8981\u6c42\u52a8\u6001\u53d8\u5316\u7684\u60c5\u51b5\uff0c\u6b64\u7b56\u7565\u53ef\u4ee5\u53d1\u6325\u5f3a\u5927\u4f5c\u7528\u3002\u5728<a href=\"https:\/\/github.com\/JetBrains\/koog\/blob\/develop\/examples\/simple-examples-java\/src\/main\/java\/ai\/koog\/agents\/example\/strategies\/GoapStrategyExample.java\" target=\"_blank\" rel=\"noopener\">\u6b64\u5904<\/a>\u67e5\u770b\u8be6\u7ec6\u793a\u4f8b\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u901a\u8fc7\u6301\u4e45\u6027\u529f\u80fd\u5b9e\u73b0\u5bb9\u9519<\/strong><\/h3>\n<p>AI \u667a\u80fd\u4f53\u901a\u5e38\u4f1a\u5904\u7406\u590d\u6742\u7684\u591a\u6b65\u9aa4\u4efb\u52a1\uff0c\u8fd9\u4e9b\u4efb\u52a1\u53ef\u80fd\u9700\u8981\u6570\u79d2\u751a\u81f3\u6570\u5206\u949f\u624d\u80fd\u5b8c\u6210\u3002\u5728\u6b64\u671f\u95f4\uff0c\u670d\u52a1\u5668\u53ef\u80fd\u4f1a\u5d29\u6e83\uff0c\u7f51\u7edc\u8fde\u63a5\u53ef\u80fd\u4e2d\u65ad\uff0c\u6216\u8005\u53ef\u80fd\u8fdb\u884c\u90e8\u7f72\u3002\u5982\u679c\u4e0d\u5177\u6709\u6301\u4e45\u6027\uff0c\u60a8\u7684\u667a\u80fd\u4f53\u5c06\u4e0d\u5f97\u4e0d\u4ece\u5934\u5f00\u59cb\u6267\u884c\uff0c\u5c06\u65f6\u95f4\u548c\u91d1\u94b1\u6d6a\u8d39\u5728\u91cd\u590d\u7684 LLM \u8c03\u7528\u4e0a\u3002<\/p>\n<p>Koog \u7684\u6301\u4e45\u6027\u529f\u80fd\u53ef\u5728\u6bcf\u4e2a\u6b65\u9aa4\u6267\u884c\u5b8c\u6bd5\u540e\u5c06\u667a\u80fd\u4f53\u72b6\u6001\u4fdd\u5b58\u5230\u78c1\u76d8\u3001S3 \u6216\u6570\u636e\u5e93\u3002\u5982\u679c\u53d1\u751f\u6545\u969c\uff0c\u57fa\u4e8e\u56fe\u7684\u667a\u80fd\u4f53\u53ef\u4ee5\u4ece\u505c\u6b62\u7684\u786e\u5207\u8282\u70b9\u6062\u590d\uff0c\u800c\u65e0\u9700\u4ece\u5934\u5f00\u59cb\u6267\u884c\u3002\u667a\u80fd\u4f53\u5c06\u6062\u590d\u5230\u6700\u540e\u4e00\u4e2a\u5355\u72ec\u8282\u70b9\uff0c\u5e76\u4fdd\u7559\u6545\u969c\u524d\u5b8c\u6210\u7684\u6240\u6709\u8fdb\u5ea6\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">\/\/ First, configure where to store checkpoints\n\/\/ Can be Postgres, S3, local disk, or your own implementation\nvar storage = new PostgresJdbcPersistenceStorageProvider(\n    dataSource = dataSource,\n    tableName = \u201cbanking_agent_checkpoints\u201d\n)\n\n\/\/ Install the Persistence feature on your agent\nvar recoverableAgent = AIAgent.builder()\n    \/\/ ... other agent configuration\n    .install(Persistence.Feature, config -&gt; {\n        config.setStorage(storage);\n        config.setEnableAutomaticPersistence(true);  \/\/ Auto-save after each step\n    })\n    .build();\n\n\/\/ First run - starts fresh\nrecoverableAgent.run(\"Help me with my account\", \"user-session-0123\");\n\n\/\/ If a crash happens mid-execution...\n\n\/\/ Second run with same session ID - automatically recovers and continues\nrecoverableAgent.run(\"Help me with my account\", \"user-session-0123\");<\/pre>\n<p>\u4f1a\u8bdd ID \u4f1a\u5c06\u68c0\u67e5\u70b9\u6570\u636e\u4e0e\u7279\u5b9a\u7528\u6237\u4f1a\u8bdd\uff08\u5982\u7528\u6237 ID \u6216\u8bf7\u6c42 ID\uff09\u7ed1\u5b9a\u3002\u8fd9\u6837\u4e00\u6765\uff0c\u60a8\u53ef\u4ee5\u540c\u65f6\u8fd0\u884c\u591a\u4e2a\u667a\u80fd\u4f53\u5b9e\u4f8b\uff0c\u800c\u4e0d\u4f1a\u53d1\u751f\u51b2\u7a81\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u901a\u8fc7 OpenTelemetry \u5b9e\u73b0\u53ef\u89c2\u6d4b\u6027<\/strong><\/h3>\n<p>\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u8fd0\u884c\u667a\u80fd\u4f53\u65f6\uff0c\u60a8\u9700\u8981\u4e86\u89e3\u667a\u80fd\u4f53\u7684\u884c\u4e3a\u3002\u5b83\u4eec\u8c03\u7528\u4e86\u54ea\u4e9b\u5de5\u5177\uff1f \u6bcf\u4e2a LLM \u8bf7\u6c42\u4f7f\u7528\u4e86\u591a\u5c11 token\uff1f \u54ea\u91cc\u51fa\u73b0\u4e86\u74f6\u9888\uff1f \u6210\u672c\u6765\u81ea\u54ea\u91cc\uff1f<\/p>\n<p>\u5c06 Koog \u4e0e OpenTelemetry \u96c6\u6210\u53ef\u4ee5\u4e86\u89e3\u8fd9\u4e9b\u4fe1\u606f\u3002\u8fde\u63a5\u5230 <a href=\"https:\/\/docs.koog.ai\/opentelemetry-langfuse-exporter\/\" target=\"_blank\" rel=\"noopener\" data-type=\"link\" data-id=\"https:\/\/docs.koog.ai\/opentelemetry-langfuse-exporter\/\">Langfuse<\/a> \u6216 <a href=\"https:\/\/docs.koog.ai\/opentelemetry-weave-exporter\/\" target=\"_blank\" rel=\"noopener\">W&amp;B Weave<\/a> \u8fd9\u7c7b\u540e\u7aef\u53ef\u4ee5\u67e5\u770b\u667a\u80fd\u4f53\u6267\u884c\u7684\u5177\u4f53\u8ddf\u8e2a\u4fe1\u606f\uff0c\u5305\u62ec\u5d4c\u5957\u4e8b\u4ef6\uff08\u8282\u70b9\u3001\u5de5\u5177\u8c03\u7528\u548c LLM \u8bf7\u6c42\uff09\u3001 token \u6570\u91cf\u3001\u6210\u672c\u548c\u7528\u65f6\u4fe1\u606f\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">var observableAgent = AIAgent.builder()\n    \/\/ ... other agent configuration\n    .install(OpenTelemetry.Feature, config -&gt; {\n        \/\/ Export telemetry data to your observability backend\n        config.addSpanExporter(OtlpGrpcSpanExporter.builder()\n            .setEndpoint(\"http:\/\/localhost:4317\")  \/\/ Your OpenTelemetry collector\n            .build());\n    })\n    .build();<\/pre>\n<p>\u914d\u7f6e\u5b8c\u6210\u540e\uff0c\u6bcf\u6b21\u667a\u80fd\u4f53\u8fd0\u884c\u65f6\u90fd\u4f1a\u81ea\u52a8\u751f\u6210\u8be6\u7ec6\u7684\u8ddf\u8e2a\u4fe1\u606f\uff0c\u4f9b\u60a8\u5728\u53ef\u89c2\u6d4b\u6027\u5de5\u5177\u4e2d\u67e5\u770b\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u5386\u53f2\u8bb0\u5f55\u538b\u7f29<\/strong><\/h3>\n<p>\u5f53\u667a\u80fd\u4f53\u5904\u7406\u590d\u6742\u4efb\u52a1\u65f6\uff0c\u968f\u7740\u6bcf\u6b21\u7684 LLM \u8c03\u7528\u548c\u5de5\u5177\u8c03\u7528\uff0c\u5b83\u7684\u5bf9\u8bdd\u5386\u53f2\u8bb0\u5f55\u90fd\u4f1a\u4e0d\u65ad\u589e\u52a0\u3002\u6b64\u5386\u53f2\u8bb0\u5f55\u4f1a\u968f\u6bcf\u4e2a\u540e\u7eed\u8bf7\u6c42\u4e00\u8d77\u53d1\u9001\uff0c\u4ee5\u63d0\u4f9b\u4e0a\u4e0b\u6587\u3002\u4f46\u4e0a\u4e0b\u6587\u8d8a\u957f\uff0c\u610f\u5473\u7740\uff1a<\/p>\n<ul>\n<li>LLM \u54cd\u5e94\u901f\u5ea6\u8d8a\u6162<\/li>\n<li>\u6210\u672c\u8d8a\u9ad8\uff08\u4e3a\u6bcf\u4e2a token \u652f\u4ed8\u7684\u8d39\u7528\uff09<\/li>\n<li>\u6700\u7ec8\u4f1a\u8fbe\u5230\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u9650\u5236<\/li>\n<\/ul>\n<p>Koog \u7684\u5386\u53f2\u8bb0\u5f55\u538b\u7f29\u529f\u80fd\u4f1a\u4ee5\u667a\u80fd\u65b9\u5f0f\u603b\u7ed3\u5173\u952e\u4fe1\u606f\uff0c\u6216\u4ece\u5386\u53f2\u8bb0\u5f55\u4e2d\u63d0\u53d6\u5173\u952e\u4fe1\u606f\uff0c\u4ece\u800c\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u540c\u65f6\u51cf\u5c11 token \u4f7f\u7528\u91cf\uff0c\u5e76\u4fdd\u7559\u91cd\u8981\u4fe1\u606f\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">var agentWithCompression = AIAgent.builder()\n    .functionalStrategy(\"compressed\", (ctx, userInput) -&gt; {\n        var response = ctx.requestLLM(userInput);\n        \/\/ Your agent logic...\n\n        \/\/ When history gets long, compress it\n        ctx.compressHistory();\n    })\n    .build();<\/pre>\n<p>\u60a8\u53ef\u4ee5\u81ea\u5b9a\u4e49\u538b\u7f29\u7684\u5b9e\u73b0\u65b9\u5f0f\uff1a<\/p>\n<ul>\n<li><code>HistoryCompressionStrategy.WholeHistory<\/code> \u2013 \u5c06\u6574\u4e2a\u5386\u53f2\u8bb0\u5f55\u538b\u7f29\u6210\u4e00\u4e2a\u6458\u8981\u3002<\/li>\n<li><code>HistoryCompressionStrategy.FromLastNMessages(100)<\/code> \u2013 \u53ea\u538b\u7f29\u6700\u540e N \u6761\u6d88\u606f\u3002<\/li>\n<li><code>HistoryCompressionStrategy.Chunked(20)<\/code> \u2013 \u4ee5 N \u6761\u6d88\u606f\u4e3a\u4e00\u7ec4\u8fdb\u884c\u538b\u7f29\u3002<\/li>\n<li><code class=\"EnlighterJSRAW\" data-enlighter-language=\"java\">RetrieveFactsFromHistory<\/code> \u2013 \u4ece\u5386\u53f2\u8bb0\u5f55\u4e2d\u63d0\u53d6\u7279\u5b9a\u4e8b\u5b9e\uff08\u4f8b\u5982\u201c\u5ba2\u6237\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\u201d\uff0c\u6216\u201c\u6267\u884c\u4e86\u54ea\u4e9b\u64cd\u4f5c\uff1f\u201d\uff09\u3002<\/li>\n<\/ul>\n<p>\u60a8\u8fd8\u53ef\u4ee5\u5b9e\u73b0\u81ea\u5df1\u7684\u5386\u53f2\u8bb0\u5f55\u538b\u7f29\u7b56\u7565\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u7ba1\u7406 Java \u7ebf\u7a0b<\/strong><\/h3>\n<p>\u5728\u5178\u578b\u7684 Java \u5e94\u7528\u7a0b\u5e8f\u4e2d\uff0c\u60a8\u9700\u8981\u5bf9\u7ebf\u7a0b\u6c60\u8fdb\u884c\u7ec6\u7c92\u5ea6\u63a7\u5236\u3002\u60a8\u53ef\u80fd\u4f1a\u4e3a\u53d7 CPU \u7ea6\u675f\u7684\u5de5\u4f5c\u6307\u5b9a\u4e13\u5c5e\u7684\u7ebf\u7a0b\u6c60\uff0c\u5e76\u4e3a I\/O \u64cd\u4f5c\u6307\u5b9a\u53e6\u4e00\u4e2a\u7ebf\u7a0b\u6c60\u3002Koog \u5141\u8bb8\u60a8\u4e3a\u667a\u80fd\u4f53\u6267\u884c\u7684\u6bcf\u4e2a\u90e8\u5206\u6307\u5b9a\u5355\u72ec\u7684 <code>ExecutorService<\/code>\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"java\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">var threadControlledAgent = AIAgent.builder()\n    .promptExecutor(promptExecutor)\n    .agentConfig(AIAgentConfig.builder(OpenAIModels.Chat.GPT5_2)\n        .strategyExecutorService(mainExecutorService)      \/\/ For agent logic\n        .llmRequestExecutorService(ioExecutorService)      \/\/ For LLM API calls\n        .build())\n    .build();<\/pre>\n<p>\u901a\u8fc7\u8fd9\u79cd\u5206\u79bb\u64cd\u4f5c\uff0c\u60a8\u53ef\u4ee5\u4f18\u5316\u8d44\u6e90\u4f7f\u7528\u60c5\u51b5 \u2014 \u4f8b\u5982\uff0c\u4e3a\u53d7 I\/O \u7ea6\u675f\u7684 LLM \u8bf7\u6c42\u4f7f\u7528\u8f83\u5927\u7684\u7ebf\u7a0b\u6c60\uff0c\u540c\u65f6\u4e3a\u7b56\u7565\u6267\u884c\u903b\u8f91\u4fdd\u6301\u8f83\u5c0f\u7684\u7ebf\u7a0b\u6c60\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u8bd5\u7528 Koog for Java<\/strong><\/h3>\n<p>Koog for Java \u901a\u8fc7\u81ea\u7136\u4e14\u7b26\u5408 Java \u60ef\u7528\u98ce\u683c\u7684 API\uff0c\u4e3a\u60a8\u7684 Java \u5e94\u7528\u7a0b\u5e8f\u5e26\u6765\u4e86\u4f01\u4e1a\u7ea7\u667a\u80fd\u4f53\u5de5\u7a0b\u3002\u65e0\u8bba\u662f\u6784\u5efa\u7b80\u5355\u7684\u5de5\u5177\u8c03\u7528\u667a\u80fd\u4f53\uff0c\u8fd8\u662f\u6784\u5efa\u5177\u6709\u6301\u4e45\u6027\u548c\u53ef\u89c2\u6d4b\u6027\u7684\u590d\u6742\u591a\u6b65\u9aa4\u5de5\u4f5c\u6d41\uff0cKoog \u90fd\u80fd\u63d0\u4f9b\u60a8\u9700\u8981\u7684\u63d0\u53d6\u80fd\u529b\u3002<\/p>\n<p>\u70b9\u51fb\u6b64\u5904\u7acb\u5373\u5f00\u59cb\uff1a<a href=\"https:\/\/docs.koog.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/docs.koog.ai\/<\/a><\/p>\n\n\n<p><\/p>\n\n\n\n<p>\u672c\u535a\u6587\u82f1\u6587\u539f\u4f5c\u8005\uff1a<\/p>\n\n\n    <div class=\"about-author \">\n        <div class=\"about-author__box\">\n            <div class=\"row\">\n                <div class=\"about-author__box-img\">\n                    <img decoding=\"async\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/08\/square-image.png\" width=\"200\" height=\"200\" alt=\"Vadim Briliantov\" loading=\"lazy\"  class=\"avatar avatar-200 wp-user-avatar wp-user-avatar-200 photo avatar-default\">\n                <\/div>\n                <div class=\"about-author__box-text\">\n                                            <h4>Vadim Briliantov<\/h4>\n                                                        <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n","protected":false},"author":1297,"featured_media":694499,"comment_status":"closed","ping_status":"closed","template":"","categories":[8899,909,5088],"tags":[],"cross-post-tag":[6284],"acf":[],"_links":{"self":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/ai\/694498"}],"collection":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/ai"}],"about":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/types\/ai"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/users\/1297"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=694498"}],"version-history":[{"count":5,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/ai\/694498\/revisions"}],"predecessor-version":[{"id":694526,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/ai\/694498\/revisions\/694526"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media\/694499"}],"wp:attachment":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=694498"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/categories?post=694498"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/tags?post=694498"},{"taxonomy":"cross-post-tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/cross-post-tag?post=694498"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}