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按《参赛成果物提交规范·赛道一》§8： - README：新增项目性质：新规声明、项目概述、整体功能说明、效果总结 （431 测试/99.15% 覆盖/双语试运行/影响调查基线）、团队分工、规模与难度自评 - design.md：开发范式流程图（mermaid，6 步与 AI 日志步骤列一致）+ §2.1 Agent 架构图（感知-规划-行动-记忆映射） - _AI_USAGE_LOG.md：回填「待补充」→架构设计、「整体迭代」→反馈迭代 - tests/coverage/ 覆盖率 HTML 报告（99.15%）+ tests/test-execution-log.txt 执行日志 - docs/参赛成果物提交规范-赛道一.md → docs/submission-spec-track1.md（ASCII 化） - pyproject: pytest norecursedirs 排除 test-execution-log.txt 全量 pytest 431 passed / 99.15%
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<span class="text">Coverage for </span><b>src<span class="sep">\</span>genesis<span class="sep">\</span>inference<span class="sep">\</span>exceptions.py</b>:
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<p class="run"><span class="n"><a id="t1" href="#t1">1</a></span><span class="t"><span class="key">from</span> <span class="nam">__future__</span> <span class="key">import</span> <span class="nam">annotations</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t2" href="#t2">2</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t3" href="#t3">3</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t4" href="#t4">4</a></span><span class="t"><span class="key">class</span> <span class="nam">LLMError</span><span class="op">(</span><span class="nam">Exception</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t5" href="#t5">5</a></span><span class="t"> <span class="str">"""LLM 调用相关的异常基类（api-design §7 映射基底）"""</span> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t6" href="#t6">6</a></span><span class="t"> <span class="nam">error_code</span><span class="op">:</span> <span class="nam">str</span> <span class="op">|</span> <span class="key">None</span> <span class="op">=</span> <span class="key">None</span> <span class="com"># api §7 错误码（机器可读）；新增子类必须覆写</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t7" href="#t7">7</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t8" href="#t8">8</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t9" href="#t9">9</a></span><span class="t"><span class="key">class</span> <span class="nam">LLMNetworkError</span><span class="op">(</span><span class="nam">LLMError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t10" href="#t10">10</a></span><span class="t"> <span class="str">"""网络失败 / 5xx 重试耗尽（可重试语义）"""</span> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t11" href="#t11">11</a></span><span class="t"> <span class="nam">error_code</span> <span class="op">=</span> <span class="str">"LLM_NETWORK_ERROR"</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t12" href="#t12">12</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t13" href="#t13">13</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t14" href="#t14">14</a></span><span class="t"><span class="key">class</span> <span class="nam">LLMTimeoutError</span><span class="op">(</span><span class="nam">LLMError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t15" href="#t15">15</a></span><span class="t"> <span class="str">"""LLM 调用超时（api-error: LLM_TIMEOUT 502）"""</span> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t16" href="#t16">16</a></span><span class="t"> <span class="nam">error_code</span> <span class="op">=</span> <span class="str">"LLM_TIMEOUT"</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t17" href="#t17">17</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t18" href="#t18">18</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t19" href="#t19">19</a></span><span class="t"><span class="key">class</span> <span class="nam">LLMNotConfiguredError</span><span class="op">(</span><span class="nam">LLMError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t20" href="#t20">20</a></span><span class="t"> <span class="str">"""Key / 模型缺失（api-error: LLM_NOT_CONFIGURED 503）"""</span> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t21" href="#t21">21</a></span><span class="t"> <span class="nam">error_code</span> <span class="op">=</span> <span class="str">"LLM_NOT_CONFIGURED"</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t22" href="#t22">22</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t23" href="#t23">23</a></span><span class="t"> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t24" href="#t24">24</a></span><span class="t"><span class="key">class</span> <span class="nam">LLMResponseError</span><span class="op">(</span><span class="nam">LLMError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
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<p class="pln"><span class="n"><a id="t25" href="#t25">25</a></span><span class="t"> <span class="str">"""响应结构损坏（JSON 解析失败等）"""</span> </span><span class="r"></span></p>
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<p class="run"><span class="n"><a id="t26" href="#t26">26</a></span><span class="t"> <span class="nam">error_code</span> <span class="op">=</span> <span class="str">"LLM_PARSE_ERROR"</span> </span><span class="r"></span></p>
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