{"id":98459,"date":"2026-08-31T19:40:45","date_gmt":"2026-08-31T11:40:45","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/98459.html"},"modified":"2026-08-31T19:40:45","modified_gmt":"2026-08-31T11:40:45","slug":"agent%e7%b3%bb%e7%bb%9f%e7%9a%84%e5%8f%af%e8%a7%82%e6%b5%8b%e6%80%a7%e6%94%bb%e5%9d%9a%e6%88%98%ef%bc%9a%e4%bb%8ellm%e8%b0%83%e7%94%a8%e5%88%b0%e4%b8%9a%e5%8a%a1%e9%93%be%e8%b7%af","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/98459.html","title":{"rendered":"Agent\u7cfb\u7edf\u7684\u201c\u53ef\u89c2\u6d4b\u6027\u201d\u653b\u575a\u6218\uff1a\u4eceLLM\u8c03\u7528\u5230\u4e1a\u52a1\u94fe\u8def\u7684\u5168\u6808\u76d1\u63a7\u5b9e\u8df5"},"content":{"rendered":"

Agent\u7cfb\u7edf\u7684\u201c\u53ef\u89c2\u6d4b\u6027\u201d\u653b\u575a\u6218：\u4eceLLM\u8c03\u7528\u5230\u4e1a\u52a1\u94fe\u8def\u7684\u5168\u6808\u76d1\u63a7\u5b9e\u8df5<\/h2>\n

2026\u5e742\u6708，LangChain\u56e2\u961f\u505a\u4e86\u4e00\u4ef6\u8ba9\u793e\u533a\u9707\u52a8\u7684\u4e8b：\u4ed6\u4eec\u7684\u7f16\u7a0bAgent deepagents-cli\u5728Terminal Bench 2.0\u57fa\u51c6\u6d4b\u8bd5\u4e2d，\u5f97\u5206\u4ece52.8%\u8dc3\u5347\u81f366.5%，\u6392\u540d\u4eceTop 30\u4ee5\u5916\u51b2\u8fdbTop 5\u3002\u6574\u4e2a\u8fc7\u7a0b\u4e2d，\u6a21\u578b\u6ca1\u6362（\u56fa\u5b9a\u4f7f\u7528gpt-5.2-codex），\u4ed6\u4eec\u53ea\u6539\u4e86\u4e00\u6837\u4e1c\u897f：Harness\u3002\u800c\u9a71\u52a8\u8fd9\u4e00\u5207\u7684，\u662fAgent\u7cfb\u7edf\u7684\u201c\u53ef\u89c2\u6d4b\u6027\u201d\u3002<\/p>\n

\u5f15\u8a00：Agent\u7684\u201c\u771f\u76f8\u201d\u5728\u8fd0\u884c\u8f68\u8ff9\u91cc<\/h3>\n

Agent\u7cfb\u7edf\u6709\u4e00\u4e2a\u4e0e\u4f20\u7edf\u8f6f\u4ef6\u622a\u7136\u4e0d\u540c\u7684\u7279\u70b9：\u4f60\u4e0d\u8fd0\u884c\u5b83，\u5c31\u4e0d\u77e5\u9053\u5b83\u4f1a\u505a\u4ec0\u4e48\u3002<\/p>\n

\u4f20\u7edf\u8f6f\u4ef6\u7684\u771f\u76f8\u5728\u4ee3\u7801\u91cc\u2014\u2014\u4f60\u9605\u8bfb\u6e90\u7801\u5c31\u80fd\u7406\u89e3\u5176\u884c\u4e3a\u3002Agent\u7684\u771f\u76f8\u5374\u5728\u8fd0\u884c\u8f68\u8ff9\u91cc\u2014\u2014\u5f53Agent\u6267\u884c\u4e86200\u6b65\u3001\u8017\u65f6\u4e24\u5206\u949f\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1，\u800c\u5728\u7b2c23\u6b65\u8d70\u9519\u4e86\u65b9\u5411，\u6ca1\u6709Tracing，\u4f60\u6839\u672c\u65e0\u4ece\u77e5\u6653\u3002<\/p>\n

Agent\u7cfb\u7edf\u7684\u53ef\u89c2\u6d4b\u6027\u4e0d\u662f\u201c\u9526\u4e0a\u6dfb\u82b1\u201d，\u800c\u662f\u201c\u6ca1\u6709\u5c31\u6d3b\u4e0d\u4e0b\u53bb\u201d\u7684\u57fa\u7840\u8bbe\u65bd\u3002\u672c\u6587\u5c06\u7cfb\u7edf\u62c6\u89e3Agent\u53ef\u89c2\u6d4b\u6027\u7684\u6838\u5fc3\u6311\u6218\u3001\u6280\u672f\u65b9\u6848\u4e0e\u751f\u4ea7\u5b9e\u8df5，\u8986\u76d6\u4eceLLM\u8c03\u7528\u5230\u4e1a\u52a1\u94fe\u8def\u7684\u5168\u6808\u76d1\u63a7\u3002<\/p>\n

\u4e00\u3001Agent\u53ef\u89c2\u6d4b\u6027 \u2260 \u4f20\u7edf\u8f6f\u4ef6\u53ef\u89c2\u6d4b\u6027<\/h3>\n

1.1 \u672c\u8d28\u5dee\u5f02：\u4ece\u201c\u8c03\u8bd5\u4ee3\u7801\u201d\u5230\u201c\u8c03\u8bd5\u63a8\u7406\u201d<\/h4>\n

\u4f20\u7edf\u8f6f\u4ef6\u51fa\u95ee\u9898\u65f6，\u4f60\u68c0\u67e5\u9519\u8bef\u65e5\u5fd7\u3001\u770b\u5806\u6808\u8ffd\u8e2a\u3001\u627e\u5230\u5931\u8d25\u7684\u4ee3\u7801\u884c\u3002Agent\u51fa\u95ee\u9898\u65f6，\u6ca1\u6709\u5806\u6808\u2014\u2014\u56e0\u4e3a\u6ca1\u6709\u4ee3\u7801\u5931\u8d25，\u5931\u8d25\u7684\u662f\u63a8\u7406\u3002<\/p>\n

LangChain\u5728\u6982\u5ff5\u6307\u5357\u4e2d\u7cbe\u8f9f\u5730\u603b\u7ed3\u4e86\u8fd9\u4e00\u8f6c\u53d8：<\/p>\n

\u201c\u5f53Agent\u8017\u65f6\u4e24\u5206\u949f\u3001\u6267\u884c200\u6b65\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1，\u5728\u4e2d\u95f4\u67d0\u5904\u72af\u4e86\u9519\u8bef\u65f6，\u8fd9\u662f\u4e00\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u9519\u8bef\u3002\u6ca1\u6709\u5806\u6808\u8ffd\u8e2a\u2014\u2014\u56e0\u4e3a\u6ca1\u6709\u4ee3\u7801\u5931\u8d25\u3002\u5931\u8d25\u7684\u662fAgent\u7684\u63a8\u7406\u3002\u201d<\/p>\n

\u4f20\u7edf\u53ef\u89c2\u6d4b\u6027\u56de\u7b54\u7684\u95ee\u9898\u662f：\u201c\u54ea\u4e2a\u670d\u52a1\u6302\u4e86？\u54cd\u5e94\u591a\u6162？\u9519\u8bef\u7387\u591a\u5c11？\u201dAgent\u53ef\u89c2\u6d4b\u6027\u9700\u8981\u56de\u7b54\u7684\u95ee\u9898\u5b8c\u5168\u4e0d\u540c：<\/p>\n\n\u4f20\u7edf\u8f6f\u4ef6\u95ee\u9898Agent\u9700\u8981\u56de\u7b54\u7684\u95ee\u9898<\/tr>\n\n\n\n\n\n
\u670d\u52a1\u662f\u5426\u5b58\u6d3b？<\/td>\nAgent\u662f\u5426\u771f\u7684\u505a\u4e86\u5b83\u58f0\u79f0\u505a\u7684\u4e8b？<\/td>\n<\/tr>\n
\u54cd\u5e94\u5ef6\u8fdf\u591a\u5c11？<\/td>\n\u4e3a\u4ec0\u4e48\u8fd9\u6b21\u4efb\u52a1\u6210\u672c\u6bd4\u5e73\u65f6\u9ad810\u500d？<\/td>\n<\/tr>\n
\u9519\u8bef\u7387\u591a\u5c11？<\/td>\n\u4e3a\u4ec0\u4e48Agent\u5728\u7b2c23\u6b65\u9009\u4e86edit_file\u800c\u4e0d\u662fread_file？<\/td>\n<\/tr>\n
CPU\/\u5185\u5b58\u4f7f\u7528\u7387？<\/td>\nAgent\u662f\u5728\u5b66\u4e60，\u8fd8\u662f\u5728\u91cd\u590d\u72af\u540c\u6837\u7684\u9519\u8bef？<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

1.2 Agent\u53ef\u89c2\u6d4b\u6027\u7684\u4e09\u5927\u6838\u5fc3\u6311\u6218<\/h4>\n

\u65e0\u8bba\u91c7\u7528\u4f55\u79cdAgent\u5f62\u6001，\u89c4\u6a21\u5316\u4f7f\u7528\u540e\u5747\u4f1a\u906d\u9047\u4e09\u5927\u5171\u6027\u96be\u9898：<\/p>\n

1. \u6267\u884c\u8fc7\u7a0b\u9ed1\u76d2\u5316<\/p>\n

Agent\u7684\u6267\u884c\u8fc7\u7a0b\u6d89\u53caLLM\u8c03\u7528\u3001\u5de5\u5177\u6267\u884c\u3001\u591a\u8f6e\u63a8\u7406\u3001\u8bb0\u5fc6\u68c0\u7d22\u7b49\u73af\u8282\u3002\u4f20\u7edf\u65b9\u6848\u9762\u5bf9\u4e00\u8f6e\u5305\u542b10\u6b21ReAct\u63a8\u7406\u7684Agent\u4efb\u52a1，\u4ec5\u80fd\u8bc6\u522b\u51fa10\u6761\u72ec\u7acbHTTP\u8bf7\u6c42，\u65e0\u6cd5\u8fd8\u539f\u5206\u5c42\u3001\u6709\u5e8f\u7684\u5b8c\u6574\u51b3\u7b56\u6d41\u7a0b\u3002<\/p>\n

2. \u884c\u4e3a\u8f68\u8ff9\u96be\u8ffd\u6eaf<\/p>\n

Agent\u5177\u5907\u8f83\u9ad8\u7684\u81ea\u4e3b\u64cd\u4f5c\u6743\u9650，\u53ef\u8bfb\u5199\u672c\u5730\u6587\u4ef6\u3001\u6267\u884c\u7cfb\u7edf\u547d\u4ee4\u3001\u8c03\u7528\u7b2c\u4e09\u65b9API\u3002\u7f3a\u5c11\u4e13\u9879\u5ba1\u8ba1\u80fd\u529b，\u65e0\u6cd5\u5b8c\u6574\u8ffd\u6eafAgent\u7684\u5168\u90e8\u64cd\u4f5c\u884c\u4e3a，\u5728\u4f01\u4e1a\u5b89\u5168\u3001\u5408\u89c4\u573a\u666f\u4e2d\u5b58\u5728\u6781\u5927\u98ce\u9669\u3002<\/p>\n

3. \u6210\u672c\u96be\u5ea6\u91cf<\/p>\n

\u5927\u6a21\u578bToken\u6d88\u8017\u662fAgent\u7684\u4e3b\u8981\u6210\u672c\u6765\u6e90，\u591a\u8f6e\u8fed\u4ee3\u548c\u5de5\u5177\u8c03\u7528\u4f1a\u6307\u6570\u7ea7\u653e\u5927\u6d88\u8017\u3002\u7f3a\u5c11\u6309Agent\u3001\u7528\u6237\u3001\u4efb\u52a1\u7ef4\u5ea6\u7684\u7cbe\u7ec6\u5316\u6210\u672c\u62c6\u5206\u80fd\u529b，\u4f01\u4e1a\u5c06\u65e0\u6cd5\u5f00\u5c55\u9884\u7b97\u7ba1\u63a7\u4e0e\u6295\u5165\u4ea7\u51fa\u8bc4\u4f30\u3002<\/p>\n

\u4e8c\u3001Tracing：\u4ece\u670d\u52a1\u8c03\u7528\u94fe\u5230\u63a8\u7406\u94fe\u8def<\/h3>\n

2.1 Agent Tracing\u7684\u72ec\u7279\u4ef7\u503c<\/h4>\n

Agent Tracing\u8bb0\u5f55\u7684\u662f\u6bcf\u4e00\u6b21Think \u2192 Act \u2192 Observe\u7684\u5b8c\u6574\u94fe\u8def\u3002\u6bcf\u4e2aSpan\u4e0d\u4ec5\u8bb0\u5f55\u201c\u8c03\u4e86\u4ec0\u4e48\u201d，\u8fd8\u8981\u8bb0\u5f55\u201c\u63a8\u7406\u4e86\u4ec0\u4e48\u201d\u2014\u2014\u5b8c\u6574\u7684prompt\u3001\u6a21\u578b\u8fd4\u56de\u7684\u7ed3\u679c\u3001\u5de5\u5177\u8c03\u7528\u7684\u53c2\u6570\u548c\u7ed3\u679c\u3001\u6bcf\u4e00\u6b65\u7684\u8017\u65f6\u548ctoken\u6d88\u8017\u3002<\/p>\n

LangChain\u56e2\u961f\u6b63\u662f\u9760Tracing\u6570\u636e\u9a71\u52a8\u4e8666.5%\u7684\u7a81\u7834：\u4ed6\u4eec\u5728\u6bcf\u8f6e\u5b9e\u9a8c\u4e2d\u7528LangSmith\u8bb0\u5f55\u5b8c\u6574\u7684Tracing\u6570\u636e，\u7136\u540e\u6784\u5efa\u4e86\u4e00\u4e2aTrace Analyzer Skill\u2014\u2014\u4eceLangSmith\u62c9\u53d6\u8ffd\u8e2a\u6570\u636e，\u5e76\u884c\u542f\u52a8\u591a\u4e2a\u9519\u8bef\u5206\u6790Agent\u5404\u81ea\u8bca\u65ad\u5931\u8d25\u539f\u56e0，\u4e3bAgent\u7efc\u5408\u6240\u6709\u53d1\u73b0\u63d0\u51faHarness\u6539\u8fdb\u5efa\u8bae\u3002<\/p>\n

2.2 \u57fa\u4e8eOpenTelemetry\u7684Agent Tracing\u5b9e\u73b0<\/h4>\n

\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u4e8eOpenTelemetry\u7684Agent Tracing\u57cb\u70b9\u5b9e\u73b0：<\/p>\n

from<\/span> opentelemetry import<\/span> trace
\nfrom<\/span> opentelemetry.<\/span>trace import<\/span> SpanKind,<\/span> Status,<\/span> StatusCode
\nimport<\/span> json
\nimport<\/span> time<\/p>\n

tracer =<\/span> trace.<\/span>get_tracer(<\/span>__name__)<\/span><\/p>\n

class<\/span> AgentTracer<\/span>:<\/span>
\n """Agent\u5168\u94fe\u8def\u8ffd\u8e2a\u5668"""<\/span><\/p>\n

def<\/span> trace_agent_run<\/span>(<\/span>self,<\/span> agent_name:<\/span> str<\/span>,<\/span> session_id:<\/span> str<\/span>)<\/span>:<\/span>
\n """\u88c5\u9970\u5668：\u8ffd\u8e2aAgent\u5b8c\u6574\u8fd0\u884c"""<\/span>
\n def<\/span> decorator<\/span>(<\/span>func)<\/span>:<\/span>
\n def<\/span> wrapper<\/span>(<\/span>*<\/span>args,<\/span> **<\/span>kwargs)<\/span>:<\/span>
\n # \u521b\u5efa\u6839Span – Agent\u7ea7\u522b<\/span>
\n with<\/span> tracer.<\/span>start_as_current_span(<\/span>
\n f"agent.<\/span>{<\/span>agent_name}<\/span><\/span>.run"<\/span><\/span>,<\/span>
\n kind=<\/span>SpanKind.<\/span>CLIENT,<\/span>
\n attributes=<\/span>{<\/span>
\n "agent.name"<\/span>:<\/span> agent_name,<\/span>
\n "session.id"<\/span>:<\/span> session_id,<\/span>
\n "gen_ai.operation.name"<\/span>:<\/span> "agent.run"<\/span>
\n }<\/span>
\n )<\/span> as<\/span> root_span:<\/span>
\n # \u5728Span\u4e2d\u8bb0\u5f55Agent\u7684System Prompt<\/span>
\n root_span.<\/span>set_attribute(<\/span>"agent.system_prompt"<\/span>,<\/span> self.<\/span>_get_system_prompt(<\/span>agent_name)<\/span>)<\/span><\/p>\n

# \u6267\u884cAgent\u7684\u63a8\u7406\u5faa\u73af<\/span>
\n result =<\/span> func(<\/span>*<\/span>args,<\/span> **<\/span>kwargs)<\/span><\/p>\n

# \u8bb0\u5f55\u6700\u7ec8\u7ed3\u679c<\/span>
\n root_span.<\/span>set_attribute(<\/span>"agent.result_summary"<\/span>,<\/span> result.<\/span>get(<\/span>"summary"<\/span>,<\/span> ""<\/span>)<\/span>)<\/span>
\n root_span.<\/span>set_status(<\/span>Status(<\/span>StatusCode.<\/span>OK)<\/span>)<\/span>
\n return<\/span> result
\n return<\/span> wrapper
\n return<\/span> decorator<\/p>\n

def<\/span> trace_llm_call<\/span>(<\/span>self,<\/span> model:<\/span> str<\/span>,<\/span> messages:<\/span> list<\/span>,<\/span> response:<\/span> dict<\/span>)<\/span>:<\/span>
\n """\u8ffd\u8e2aLLM\u8c03\u7528"""<\/span>
\n with<\/span> tracer.<\/span>start_as_current_span(<\/span>
\n "llm.call"<\/span>,<\/span>
\n kind=<\/span>SpanKind.<\/span>CLIENT,<\/span>
\n attributes=<\/span>{<\/span>
\n "gen_ai.request.model"<\/span>:<\/span> model,<\/span>
\n "gen_ai.request.max_tokens"<\/span>:<\/span> response.<\/span>get(<\/span>"usage"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>get(<\/span>"completion_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n "gen_ai.usage.input_tokens"<\/span>:<\/span> response.<\/span>get(<\/span>"usage"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>get(<\/span>"prompt_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n "gen_ai.usage.output_tokens"<\/span>:<\/span> response.<\/span>get(<\/span>"usage"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>get(<\/span>"completion_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n "gen_ai.operation.name"<\/span>:<\/span> "chat"<\/span>
\n }<\/span>
\n )<\/span> as<\/span> span:<\/span>
\n # \u8bb0\u5f55\u8f93\u5165\u6d88\u606f（\u8131\u654f）<\/span>
\n span.<\/span>set_attribute(<\/span>"gen_ai.request.messages"<\/span>,<\/span> self.<\/span>_safe_serialize(<\/span>messages)<\/span>)<\/span>
\n # \u8bb0\u5f55\u8f93\u51fa<\/span>
\n span.<\/span>set_attribute(<\/span>"gen_ai.response.content"<\/span>,<\/span> response.<\/span>get(<\/span>"content"<\/span>,<\/span> ""<\/span>)<\/span>)<\/span>
\n return<\/span> response<\/p>\n

def<\/span> trace_tool_call<\/span>(<\/span>self,<\/span> tool_name:<\/span> str<\/span>,<\/span> arguments:<\/span> dict<\/span>,<\/span> result:<\/span> any<\/span>,<\/span> duration_ms:<\/span> float<\/span>)<\/span>:<\/span>
\n """\u8ffd\u8e2a\u5de5\u5177\u8c03\u7528"""<\/span>
\n with<\/span> tracer.<\/span>start_as_current_span(<\/span>
\n f"tool.<\/span>{<\/span>tool_name}<\/span><\/span>"<\/span><\/span>,<\/span>
\n kind=<\/span>SpanKind.<\/span>CLIENT,<\/span>
\n attributes=<\/span>{<\/span>
\n "tool.name"<\/span>:<\/span> tool_name,<\/span>
\n "tool.arguments"<\/span>:<\/span> json.<\/span>dumps(<\/span>arguments,<\/span> ensure_ascii=<\/span>False<\/span>)<\/span>,<\/span>
\n "tool.duration_ms"<\/span>:<\/span> duration_ms,<\/span>
\n "tool.success"<\/span>:<\/span> result is<\/span> not<\/span> None<\/span>
\n }<\/span>
\n )<\/span> as<\/span> span:<\/span>
\n span.<\/span>set_attribute(<\/span>"tool.result"<\/span>,<\/span> self.<\/span>_safe_truncate(<\/span>str<\/span>(<\/span>result)<\/span>,<\/span> 1000<\/span>)<\/span>)<\/span>
\n return<\/span> result<\/p>\n

2.3 Trace Analyzer：\u4ece\u6570\u636e\u5230\u6539\u8fdb<\/h4>\n

LangChain\u7684Trace Analyzer Skill\u662f\u5bf9Tracing\u6570\u636e\u4ef7\u503c\u7684\u6700\u597d\u8be0\u91ca：<\/p>\n

class<\/span> TraceAnalyzer<\/span>:<\/span>
\n """\u4eceTracing\u6570\u636e\u4e2d\u8bca\u65adAgent\u5931\u8d25\u539f\u56e0"""<\/span><\/p>\n

def<\/span> __init__<\/span>(<\/span>self,<\/span> trace_data:<\/span> list<\/span>)<\/span>:<\/span>
\n self.<\/span>traces =<\/span> trace_data<\/p>\n

def<\/span> analyze_failures<\/span>(<\/span>self)<\/span>:<\/span>
\n """\u5e76\u884c\u5206\u6790\u5931\u8d25\u6a21\u5f0f"""<\/span>
\n failures =<\/span> [<\/span>]<\/span>
\n for<\/span> trace in<\/span> self.<\/span>traces:<\/span>
\n if<\/span> trace.<\/span>get(<\/span>"status"<\/span>)<\/span> !=<\/span> "success"<\/span>:<\/span>
\n failure =<\/span> self.<\/span>_diagnose_single_trace(<\/span>trace)<\/span>
\n failures.<\/span>append(<\/span>failure)<\/span>
\n # \u805a\u5408\u5931\u8d25\u6a21\u5f0f<\/span>
\n return<\/span> self.<\/span>_aggregate_patterns(<\/span>failures)<\/span><\/p>\n

def<\/span> _diagnose_single_trace<\/span>(<\/span>self,<\/span> trace)<\/span>:<\/span>
\n """\u8bca\u65ad\u5355\u6761Trace\u7684\u5931\u8d25\u539f\u56e0"""<\/span>
\n # \u68c0\u67e5：\u662f\u5426\u5728\u7b2cN\u6b65\u9009\u9519\u4e86\u5de5\u5177？<\/span>
\n # \u68c0\u67e5：\u662f\u5426\u67d0\u6b21\u5de5\u5177\u8c03\u7528\u8fd4\u56de\u4e86\u9519\u8bef？<\/span>
\n # \u68c0\u67e5：\u662f\u5426\u4e0a\u4e0b\u6587\u6ea2\u51fa\u5bfc\u81f4\u6a21\u578b\u9057\u5fd8\u5173\u952e\u4fe1\u606f？<\/span>
\n # \u68c0\u67e5：\u662f\u5426\u6210\u672c\u8d85\u6807？<\/span>
\n patterns =<\/span> [<\/span>]<\/span>
\n for<\/span> step in<\/span> trace.<\/span>get(<\/span>"steps"<\/span>,<\/span> [<\/span>]<\/span>)<\/span>:<\/span>
\n if<\/span> step.<\/span>get(<\/span>"tool_choice"<\/span>)<\/span> !=<\/span> step.<\/span>get(<\/span>"expected_tool"<\/span>)<\/span>:<\/span>
\n patterns.<\/span>append(<\/span>{<\/span>
\n "type"<\/span>:<\/span> "wrong_tool_selection"<\/span>,<\/span>
\n "step"<\/span>:<\/span> step.<\/span>get(<\/span>"step_index"<\/span>)<\/span>,<\/span>
\n "selected"<\/span>:<\/span> step.<\/span>get(<\/span>"tool_choice"<\/span>)<\/span>,<\/span>
\n "expected"<\/span>:<\/span> step.<\/span>get(<\/span>"expected_tool"<\/span>)<\/span>
\n }<\/span>)<\/span>
\n return<\/span> {<\/span>"trace_id"<\/span>:<\/span> trace.<\/span>get(<\/span>"id"<\/span>)<\/span>,<\/span> "patterns"<\/span>:<\/span> patterns}<\/span><\/p>\n

\u4e09\u3001\u96f6\u4fb5\u5165\u89c2\u6d4b：\u8ba9Agent\u201c\u81ea\u5e26\u201d\u53ef\u89c2\u6d4b\u6027<\/h3>\n

3.1 \u4e3a\u4ec0\u4e48\u96f6\u4fb5\u5165\u81f3\u5173\u91cd\u8981<\/h4>\n

\u4f20\u7edf\u53ef\u89c2\u6d4b\u6027\u65b9\u6848\u9700\u8981\u5728\u4ee3\u7801\u4e2d\u57cb\u70b9，\u4f46\u5728Agent\u573a\u666f\u4e2d\u9762\u4e34\u5de8\u5927\u6311\u6218：\u6bcf\u4e2aProvider\u7684SDK\u5b8c\u5168\u4e0d\u540c，\u5f00\u53d1\u8005\u8981\u4e3a\u6bcf\u4e00\u4e2a\u7f16\u5199tracing wrapper；GenAI\u8bed\u4e49\u7ea6\u5b9a\u8fd8\u5728\u5feb\u901f\u6f14\u8fdb；\u591a\u8bed\u8a00\u9002\u914d\u662f\u4e58\u6cd5\u95ee\u9898\u3002<\/p>\n

\u66f4\u6839\u672c\u7684\u95ee\u9898\u662f：\u5f88\u591aAI Agent\u5e94\u7528\u538b\u6839\u4e0d\u7528\u5b98\u65b9SDK，\u76f4\u63a5\u7528\u901a\u7528HTTP\u5ba2\u6237\u7aef\u62fc\u63a5JSON\u8bf7\u6c42\u4f53\u8c03\u7528\u5927\u6a21\u578bAPI\u2014\u2014\u6240\u6709\u57fa\u4e8eSDK monkey-patch\u7684\u65b9\u6848\u5168\u90e8\u5931\u6548\u3002<\/p>\n

3.2 OBI：\u5c06\u89c2\u6d4b\u4e0b\u6c89\u5230\u5185\u6838<\/h4>\n

OBI（OpenTelemetry eBPF Instrumentation）\u7684\u505a\u6cd5\u662f\u628a\u89c2\u6d4b\u80fd\u529b\u4e0b\u6c89\u5230Linux\u5185\u6838\u2014\u2014\u4e0d\u6539\u4e00\u884c\u4e1a\u52a1\u4ee3\u7801，\u81ea\u52a8\u8bc6\u522b\u5e76\u89e3\u6790\u6240\u6709AI\u76f8\u5173\u7f51\u7edc\u8c03\u7528，\u628a\u5173\u952e\u8bc1\u636e\u5b8c\u6574\u8bb0\u5f55\u8fdbOpenTelemetry\u6807\u51c6\u7684trace\u548cmetrics\u3002<\/p>\n

#mermaid-svg-g3XkEKdpBWlwVfSP{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-g3XkEKdpBWlwVfSP .error-icon{fill:#552222;}#mermaid-svg-g3XkEKdpBWlwVfSP .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-g3XkEKdpBWlwVfSP .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-g3XkEKdpBWlwVfSP .marker{fill:#333333;stroke:#333333;}#mermaid-svg-g3XkEKdpBWlwVfSP .marker.cross{stroke:#333333;}#mermaid-svg-g3XkEKdpBWlwVfSP svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-g3XkEKdpBWlwVfSP p{margin:0;}#mermaid-svg-g3XkEKdpBWlwVfSP .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP .cluster-label text{fill:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP .cluster-label span{color:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP .cluster-label span p{background-color:transparent;}#mermaid-svg-g3XkEKdpBWlwVfSP .label text,#mermaid-svg-g3XkEKdpBWlwVfSP span{fill:#333;color:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP .node rect,#mermaid-svg-g3XkEKdpBWlwVfSP .node circle,#mermaid-svg-g3XkEKdpBWlwVfSP .node ellipse,#mermaid-svg-g3XkEKdpBWlwVfSP .node polygon,#mermaid-svg-g3XkEKdpBWlwVfSP .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-g3XkEKdpBWlwVfSP .rough-node .label text,#mermaid-svg-g3XkEKdpBWlwVfSP .node .label text,#mermaid-svg-g3XkEKdpBWlwVfSP .image-shape .label,#mermaid-svg-g3XkEKdpBWlwVfSP .icon-shape .label{text-anchor:middle;}#mermaid-svg-g3XkEKdpBWlwVfSP .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-g3XkEKdpBWlwVfSP .rough-node .label,#mermaid-svg-g3XkEKdpBWlwVfSP .node .label,#mermaid-svg-g3XkEKdpBWlwVfSP .image-shape .label,#mermaid-svg-g3XkEKdpBWlwVfSP .icon-shape .label{text-align:center;}#mermaid-svg-g3XkEKdpBWlwVfSP .node.clickable{cursor:pointer;}#mermaid-svg-g3XkEKdpBWlwVfSP .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-g3XkEKdpBWlwVfSP .arrowheadPath{fill:#333333;}#mermaid-svg-g3XkEKdpBWlwVfSP .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-g3XkEKdpBWlwVfSP .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-g3XkEKdpBWlwVfSP .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-g3XkEKdpBWlwVfSP .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-g3XkEKdpBWlwVfSP .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-g3XkEKdpBWlwVfSP .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-g3XkEKdpBWlwVfSP .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-g3XkEKdpBWlwVfSP .cluster text{fill:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP .cluster span{color:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-g3XkEKdpBWlwVfSP .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-g3XkEKdpBWlwVfSP rect.text{fill:none;stroke-width:0;}#mermaid-svg-g3XkEKdpBWlwVfSP .icon-shape,#mermaid-svg-g3XkEKdpBWlwVfSP .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-g3XkEKdpBWlwVfSP .icon-shape p,#mermaid-svg-g3XkEKdpBWlwVfSP .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-g3XkEKdpBWlwVfSP .icon-shape .label rect,#mermaid-svg-g3XkEKdpBWlwVfSP .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-g3XkEKdpBWlwVfSP .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-g3XkEKdpBWlwVfSP .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-g3XkEKdpBWlwVfSP :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n

<\/p>\n

Agent\u5e94\u7528<\/p>\n

<\/span><\/p>\n

<\/p>\n

HTTP\u8bf7\u6c42<\/p>\n

<\/span><\/p>\n

<\/p>\n

Linux\u5185\u6838<\/p>\n

<\/span><\/p>\n

<\/p>\n

OBI\u63a2\u9488<\/p>\n

<\/span><\/p>\n

<\/p>\n

OTel Collector<\/p>\n

<\/span><\/p>\n

<\/p>\n

\u89c2\u6d4b\u540e\u7aef<\/p>\n

<\/span><\/p>\n

<\/p>\n

\u89e3\u6790\u8bf7\u6c42<\/p>\n

<\/span><\/p>\n

<\/p>\n

\u63d0\u53d6\u6a21\u578b\u540d<\/p>\n

<\/span><\/p>\n

<\/p>\n

\u63d0\u53d6Token<\/p>\n

<\/span><\/p>\n

<\/p>\n

\u63d0\u53d6tool_calls<\/p>\n

<\/span><\/p>\n

<\/p>\n

\u63d0\u53d6SSE\u4e8b\u4ef6<\/p>\n

<\/span><\/p>\n

3.3 \u96f6\u4fb5\u5165\u7684\u4ee3\u7801\u5b9e\u8df5<\/h4>\n

# \u4f20\u7edf\u65b9\u5f0f：\u9700\u8981\u624b\u52a8\u4e3a\u6bcf\u4e2aProvider\u57cb\u70b9<\/span>
\n# from opentelemetry.instrumentation.openai import OpenAIInstrumentor<\/span>
\n# OpenAIInstrumentor().instrument()<\/span><\/p>\n

# OBI\u65b9\u5f0f：\u65e0\u9700\u4efb\u4f55\u4ee3\u7801\u6539\u52a8<\/span>
\n# \u53ea\u9700\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf，\u542f\u52a8\u65f6\u81ea\u52a8\u6ce8\u5165<\/span>
\n# export OBI_ENABLED=true<\/span>
\n# export OBI_OTEL_ENDPOINT=http:\/\/collector:4318<\/span>
\n# python my_agent.py<\/span><\/p>\n

# \u6240\u6709LLM\u8c03\u7528（\u65e0\u8bba\u7528\u54ea\u4e2aSDK，\u751a\u81f3\u7528requests\u76f4\u63a5\u8c03\u7528）<\/span>
\n# \u90fd\u4f1a\u88ab\u81ea\u52a8\u6355\u83b7\u5e76\u751f\u6210\u7b26\u5408GenAI\u8bed\u4e49\u7ea6\u5b9a\u7684OTel Span<\/span><\/p>\n

\u56db\u3001\u6210\u672c\u53ef\u89c2\u6d4b：\u4ece\u201c\u731c\u201d\u5230\u201c\u7b97\u201d<\/h3>\n

4.1 Token\u6210\u672c\u7684\u4e09\u7ef4\u5f52\u56e0<\/h4>\n

Agent\u7cfb\u7edf\u9700\u8981\u5efa\u7acb\u6309Agent\u3001\u7528\u6237\u3001\u4efb\u52a1\u7ef4\u5ea6\u7684\u7cbe\u7ec6\u5316\u6210\u672c\u62c6\u5206\u80fd\u529b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u6210\u672c\u5f52\u56e0\u5b9e\u73b0：<\/p>\n

class<\/span> CostTracker<\/span>:<\/span>
\n """Agent\u6210\u672c\u8ffd\u8e2a\u5668"""<\/span><\/p>\n

def<\/span> track_cost<\/span>(<\/span>self,<\/span> agent_name:<\/span> str<\/span>,<\/span> session_id:<\/span> str<\/span>,<\/span> user_id:<\/span> str<\/span>,<\/span> llm_usage:<\/span> dict<\/span>)<\/span>:<\/span>
\n """\u6309Agent\u3001\u7528\u6237\u3001\u4f1a\u8bdd\u5f52\u56e0Token\u6210\u672c"""<\/span>
\n cost =<\/span> {<\/span>
\n "agent_name"<\/span>:<\/span> agent_name,<\/span>
\n "session_id"<\/span>:<\/span> session_id,<\/span>
\n "user_id"<\/span>:<\/span> user_id,<\/span>
\n "prompt_tokens"<\/span>:<\/span> llm_usage.<\/span>get(<\/span>"prompt_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n "completion_tokens"<\/span>:<\/span> llm_usage.<\/span>get(<\/span>"completion_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n "total_tokens"<\/span>:<\/span> llm_usage.<\/span>get(<\/span>"total_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n "estimated_cost_usd"<\/span>:<\/span> self.<\/span>_calculate_cost(<\/span>
\n llm_usage.<\/span>get(<\/span>"prompt_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n llm_usage.<\/span>get(<\/span>"completion_tokens"<\/span>,<\/span> 0<\/span>)<\/span>,<\/span>
\n llm_usage.<\/span>get(<\/span>"model"<\/span>,<\/span> "unknown"<\/span>)<\/span>
\n )<\/span>,<\/span>
\n "timestamp"<\/span>:<\/span> time.<\/span>time(<\/span>)<\/span>
\n }<\/span>
\n self.<\/span>_emit_cost_metric(<\/span>cost)<\/span>
\n return<\/span> cost<\/p>\n

def<\/span> get_cost_summary<\/span>(<\/span>self,<\/span> agent_name:<\/span> str<\/span>,<\/span> time_range:<\/span> tuple<\/span>)<\/span>:<\/span>
\n """\u6309Agent\u7ef4\u5ea6\u7684\u6210\u672c\u6c47\u603b"""<\/span>
\n # \u8fd4\u56de\u8be5Agent\u5728\u6307\u5b9a\u65f6\u95f4\u5185\u7684\u603bToken\u6d88\u8017\u548c\u6210\u672c<\/span>
\n pass<\/span><\/p>\n

\u4e94\u3001\u751f\u4ea7\u5b9e\u8df5：\u5f00\u7bb1\u5373\u7528\u7684\u53ef\u89c2\u6d4b\u6027<\/h3>\n

5.1 \u4e09\u5c42\u53ef\u89c2\u6d4b\u6027\u67b6\u6784<\/h4>\n

EdgeOne Makers\u7b49\u5e73\u53f0\u63d0\u4f9b\u4e86\u5185\u7f6e\u7684\u4e09\u5c42\u53ef\u89c2\u6d4b\u6027\u80fd\u529b：<\/p>\n

    \n
  • \u65e5\u5fd7（Logging）：\u6240\u6709Agent\u8c03\u7528\u81ea\u52a8\u8bb0\u5f55，\u5305\u542b\u8bf7\u6c42\u3001\u54cd\u5e94\u3001\u5de5\u5177\u8c03\u7528\u3001\u6a21\u578b\u8f93\u51fa<\/li>\n
  • \u6307\u6807（Metrics）：\u5b9e\u65f6\u6027\u80fd\u6307\u6807，\u5305\u62ec\u5ef6\u8fdf\u3001\u541e\u5410\u91cf\u3001\u9519\u8bef\u7387\u3001Token\u6d88\u8017<\/li>\n
  • \u94fe\u8def\u8ffd\u8e2a（Tracing）：\u5b8c\u6574\u7684Agent\u8c03\u7528\u94fe\u8def，\u4ece\u7528\u6237\u8bf7\u6c42\u5230\u6bcf\u4e2a\u5de5\u5177\u6267\u884c<\/li>\n<\/ul>\n

    5.2 Agent\u53ef\u89c2\u6d4b\u7684\u5b9e\u65bd\u8def\u5f84<\/h4>\n

    \u57fa\u4e8eLangChain\u7684\u5b9e\u8df5\u548c\u963f\u91cc\u4e91\u7684\u65b9\u6848，\u5b9e\u65bd\u8def\u5f84\u53ef\u5f52\u7eb3\u4e3a：<\/p>\n

  • \u5148\u89e3\u51b3\u201c\u80fd\u770b\u5230\u201d：\u5efa\u7acb\u57fa\u7840\u7684Tracing，\u8bb0\u5f55\u6bcf\u6b21LLM\u8c03\u7528\u548c\u5de5\u5177\u8c03\u7528<\/li>\n
  • \u518d\u89e3\u51b3\u201c\u80fd\u5206\u6790\u201d：\u6784\u5efaTrace Analyzer，\u4ece\u6570\u636e\u4e2d\u8bca\u65ad\u5931\u8d25\u6a21\u5f0f<\/li>\n
  • \u518d\u89e3\u51b3\u201c\u80fd\u4f18\u5316\u201d：\u57fa\u4e8e\u5206\u6790\u7ed3\u679c\u8fed\u4ee3Harness，\u63d0\u5347Agent\u8d28\u91cf<\/li>\n
  • \u6700\u540e\u89e3\u51b3\u201c\u80fd\u6cbb\u7406\u201d：\u5efa\u7acb\u6210\u672c\u5f52\u56e0\u3001\u6743\u9650\u5ba1\u8ba1\u3001\u5b89\u5168\u5408\u89c4\u4f53\u7cfb<\/li>\n

    \u516d\u3001\u603b\u7ed3<\/h3>\n

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