{"id":97381,"date":"2026-08-29T11:24:41","date_gmt":"2026-08-29T03:24:41","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/97381.html"},"modified":"2026-08-29T11:24:41","modified_gmt":"2026-08-29T03:24:41","slug":"code-agent-%e8%a7%a3%e5%89%96%ef%bc%8809%ef%bc%89%ef%bc%9a%e5%af%b9%e8%af%9d%e8%b6%8a%e6%9d%a5%e8%b6%8a%e9%95%bf%ef%bc%8ctoken-%e8%b6%85%e4%ba%86%e6%80%8e%e4%b9%88%e5%8a%9e%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/97381.html","title":{"rendered":"Code Agent \u89e3\u5256\uff0809\uff09\uff1a\u5bf9\u8bdd\u8d8a\u6765\u8d8a\u957f\uff0ctoken \u8d85\u4e86\u600e\u4e48\u529e\uff1f"},"content":{"rendered":"

\u95ee\u9898\u4ece\u54ea\u91cc\u6765<\/h3>\n

\u4e00\u4e2a coding agent \u8dd1\u8d77\u6765，\u6bcf\u4e2a ReAct step \u90fd\u5f80\u5386\u53f2\u91cc\u8ffd\u52a0\u6d88\u606f：\u7528\u6237\u8f93\u5165\u3001\u6a21\u578b\u56de\u7b54\u3001\u5de5\u5177\u8c03\u7528\u3001\u5de5\u5177\u7ed3\u679c\u3002\u8dd1\u4e8c\u4e09\u5341\u6b65\u4e4b\u540e，\u5386\u53f2\u91cc\u53ef\u80fd\u6709\u51e0\u767e\u6761\u6d88\u606f\u3001\u51e0\u4e07\u4e2a token\u3002<\/p>\n

LLM \u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u662f\u6709\u9650\u7684（\u9ed8\u8ba4 128k token）\u3002\u628a\u5168\u91cf\u5386\u53f2\u539f\u6837\u53d1\u7ed9\u6a21\u578b\u6709\u4e24\u4e2a\u95ee\u9898：<\/p>\n

  • \u8d85\u9650\u62a5\u9519：\u8d85\u8fc7\u4e0a\u4e0b\u6587\u7a97\u53e3，API \u8fd4\u56de PROMPT_TOO_LONG \u9519\u8bef<\/li>\n
  • \u8d28\u91cf\u4e0b\u964d：\u5373\u4f7f\u6ca1\u8d85，\u592a\u957f\u7684\u5386\u53f2\u4f1a\u7a00\u91ca\u8fd1\u671f\u4fe1\u606f，\u6a21\u578b\u6ce8\u610f\u529b\u5206\u6563<\/li>\n

    \u89e3\u51b3\u65b9\u6848\u6709\u4e24\u7c7b：\u622a\u65ad（\u4e22\u6389\u65e7\u6d88\u606f）\u548c\u6458\u8981（\u628a\u65e7\u6d88\u606f\u538b\u7f29\u6210\u6458\u8981）\u3002MyCodeAgent \u7528\u7684\u662f\u6458\u8981\u65b9\u6848，\u4e14\u8bbe\u8ba1\u4e0a\u6709\u4e00\u4e2a\u5173\u952e\u539f\u5219：\u5386\u53f2\u6c38\u4e0d\u5220\u9664，\u538b\u7f29\u53ea\u5f71\u54cd\u7ed9\u6a21\u578b\u770b\u7684\u89c6\u56fe\u3002<\/p>\n

    \n

    \u6838\u5fc3\u8bbe\u8ba1：History \u548c Model View \u5206\u79bb<\/h3>\n

    \u8fd9\u662f\u7406\u89e3\u6574\u5957\u673a\u5236\u7684\u524d\u63d0，\u5148\u628a\u4e24\u4e2a\u6982\u5ff5\u5206\u6e05\u695a：<\/p>\n

    HistoryManager（\u5b8c\u6574\u4e8b\u5b9e\u65e5\u5fd7，append-only，\u6c38\u4e0d\u5220\u9664）
    \n \u6240\u6709\u6d88\u606f\u539f\u6587：user \/ assistant \/ tool \/ summary
    \n \u662f"\u771f\u76f8"，transcript \u7684\u5199\u5165\u4f9d\u636e，\u5d29\u6e83\u6062\u590d\u7684\u6765\u6e90<\/p>\n

    \u2193 build_model_view() \u5728\u6bcf\u4e2a step \u8c03\u7528\u4e00\u6b21<\/p>\n

    Model View（\u7ed9 LLM \u770b\u7684\u6709\u754c\u6295\u5f71）
    \n \u7cfb\u7edf\u6d88\u606f + \u5386\u53f2\u7684\u5b50\u96c6（\u53ef\u80fd\u662f\u538b\u7f29\u540e\u7684）
    \n \u662f"\u89c6\u56fe"，\u53ea\u5f71\u54cd\u8fd9\u4e00\u6b21 LLM \u8c03\u7528，\u4e0d\u4fee\u6539\u5386\u53f2<\/p>\n

    \u4e24\u8005\u5206\u79bb\u7684\u597d\u5904：\u538b\u7f29\u662f\u4e00\u4e2a\u53ef\u9006\u7684\u8bfb\u65f6\u64cd\u4f5c\u3002\u539f\u59cb\u5386\u53f2\u6c38\u8fdc\u5b8c\u6574，\u53ef\u4ee5\u968f\u65f6\u91cd\u5efa，\u5d29\u6e83\u6062\u590d\u4e0d\u4f9d\u8d56\u538b\u7f29\u72b6\u6001\u3002<\/p>\n

    \n

    \u6574\u4f53\u6d41\u7a0b<\/h3>\n

    \u6bcf\u4e2a ReAct step \u5f00\u59cb\u65f6，loop \u8c03 _prepare_step_context()，\u91cc\u9762\u4f9d\u6b21\u8d70\u4e09\u6b65：<\/p>\n

    step N \u5f00\u59cb
    \n \u2193
    \ncompact_if_needed() \u68c0\u67e5\u662f\u5426\u9700\u8981\u538b\u7f29，\u9700\u8981\u5219\u89e6\u53d1
    \n \u2193
    \nbuild_model_view() \u628a\u5386\u53f2\u6295\u5f71\u6210\u672c step \u53d1\u7ed9\u6a21\u578b\u7684\u6d88\u606f\u5217\u8868
    \n \u2193
    \nllm.invoke_raw(messages, tools=…) \u53d1\u7ed9 LLM<\/p>\n

    \u538b\u7f29\u548c\u6295\u5f71\u662f\u5206\u79bb\u7684\u4e24\u6b65，\u4e92\u4e0d\u4f9d\u8d56：\u6ca1\u89e6\u53d1\u538b\u7f29\u65f6，\u6295\u5f71\u5c31\u662f\u5168\u91cf\u5386\u53f2；\u89e6\u53d1\u8fc7\u538b\u7f29\u540e，\u6295\u5f71\u5c31\u662f\u6458\u8981 + \u6700\u8fd1 N \u8f6e\u539f\u6587\u3002<\/p>\n

    \n

    \u7b2c\u4e00\u6b65：\u5224\u65ad\u8981\u4e0d\u8981\u538b\u7f29<\/h3>\n

    ContextBudgetPolicy.should_compact() \u505a\u8fd9\u4e2a\u5224\u65ad：<\/p>\n

    # runtime\/context\/budget.py<\/span>
    \ndef<\/span> should_compact<\/span>(<\/span>self,<\/span> *<\/span>,<\/span> messages,<\/span> pending_input,<\/span> last_usage_tokens)<\/span>:<\/span>
    \n threshold =<\/span> int<\/span>(<\/span>self.<\/span>config.<\/span>context_window *<\/span> self.<\/span>config.<\/span>compression_threshold)<\/span>
    \n # \u9ed8\u8ba4：128000 \u00d7 0.8 = 102400 tokens<\/span><\/p>\n

    # \u4e24\u4e2a\u4f30\u7b97\u6765\u6e90，\u53d6\u8f83\u5927\u503c（\u7528\u6700\u60b2\u89c2\u7684\u4f30\u8ba1，\u907f\u514d\u6f0f\u89e6\u53d1）<\/span>
    \n estimated_from_messages =<\/span> self.<\/span>estimate_tokens(<\/span>messages,<\/span> pending_input)<\/span>
    \n estimated_from_usage =<\/span> last_usage_tokens +<\/span> len<\/span>(<\/span>pending_input)<\/span> \/\/<\/span> 3<\/span>
    \n estimated =<\/span> max<\/span>(<\/span>estimated_from_messages,<\/span> estimated_from_usage)<\/span><\/p>\n

    if<\/span> estimated >=<\/span> threshold:<\/span>
    \n return<\/span> CompactDecision(<\/span>True<\/span>,<\/span> "threshold_exceeded"<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span><\/p>\n

    estimate_tokens() \u7528 \u5b57\u7b26\u6570 \/\/ 3 \u8fd1\u4f3c token \u6570\u2014\u2014\u4e0d\u7cbe\u786e，\u4f46\u8db3\u591f\u4fdd\u5b88\u3002\u7528\u4e24\u4e2a\u6765\u6e90\u53d6 max \u662f\u4e3a\u4e86\u8986\u76d6"\u5b57\u7b26\u4f30\u7b97\u504f\u4f4e"\u7684\u60c5\u51b5：\u5982\u679c\u4e0a\u4e00\u8f6e LLM \u5b9e\u9645\u6d88\u8017\u4e86\u5f88\u591a token，\u5c31\u4ee5\u5b9e\u9645\u7528\u91cf\u4e3a\u51c6\u3002<\/p>\n

    context_window \u548c compression_threshold \u4ece\u54ea\u6765：<\/p>\n

    # core\/config.py（\u4ece .env \u8bfb\u53d6）<\/span>
    \ncontext_window:<\/span> int<\/span> =<\/span> 128000<\/span> # CONTEXT_WINDOW \u73af\u5883\u53d8\u91cf<\/span>
    \ncompression_threshold:<\/span> float<\/span> =<\/span> 0.8<\/span> # COMPRESSION_THRESHOLD \u73af\u5883\u53d8\u91cf<\/span>
    \nmin_retain_rounds:<\/span> int<\/span> =<\/span> 10<\/span> # MIN_RETAIN_ROUNDS \u73af\u5883\u53d8\u91cf<\/span><\/p>\n

    \u89e6\u53d1\u9608\u503c\u662f context_window \u00d7 compression_threshold，\u4e0d\u662f\u7b49\u5230 100% \u624d\u538b\u7f29\u2014\u2014\u5728 80% \u65f6\u63d0\u524d\u538b\u7f29，\u7559\u51fa\u7a7a\u95f4\u7ed9\u6a21\u578b\u7684\u8f93\u51fa token\u3002<\/p>\n

    \n

    \u7b2c\u4e8c\u6b65：\u538b\u7f29\u2014\u2014\u4ea7\u751f Checkpoint<\/h3>\n

    \u89e6\u53d1\u538b\u7f29\u540e，ContextCompactor.compact() \u6267\u884c：<\/p>\n

    # runtime\/context\/compact.py<\/span>
    \ndef<\/span> compact<\/span>(<\/span>self,<\/span> messages)<\/span>:<\/span>
    \n # 1. \u6309 user \u6d88\u606f\u8fb9\u754c\u5207\u5206\u8f6e\u6b21<\/span>
    \n rounds =<\/span> self.<\/span>round_segmenter.<\/span>identify(<\/span>messages)<\/span>
    \n # rounds = [Round(0,5), Round(6,12), Round(13,18), …]<\/span>
    \n # \u6bcf\u4e2a Round \u4ece\u4e00\u6761 user \u6d88\u606f\u5f00\u59cb\u5230\u4e0b\u4e00\u6761 user \u6d88\u606f\u4e4b\u524d<\/span><\/p>\n

    # 2. \u4fdd\u7559\u6700\u8fd1 min_retain_rounds \u8f6e（\u9ed8\u8ba4 10 \u8f6e）\u7684\u539f\u6587<\/span>
    \n retain_start_round =<\/span> len<\/span>(<\/span>rounds)<\/span> –<\/span> min_retain_rounds
    \n retain_start_idx =<\/span> rounds[<\/span>retain_start_round]<\/span>.<\/span>start_idx
    \n messages_to_compact =<\/span> messages[<\/span>:<\/span>retain_start_idx]<\/span> # \u65e7\u7684\u90e8\u5206<\/span><\/p>\n

    # 3. \u628a\u65e7\u6d88\u606f\u4ea4\u7ed9 summary_generator（LLM \u8c03\u7528），\u751f\u6210\u6458\u8981<\/span>
    \n summary =<\/span> self.<\/span>summary_generator(<\/span>messages_to_compact)<\/span>
    \n # summary_generator \u6709\u8d85\u65f6\u4fdd\u62a4（\u9ed8\u8ba4 120s）；\u8d85\u65f6\u5219\u8fd4\u56de None，\u4e0d\u538b\u7f29<\/span><\/p>\n

    # 4. \u521b\u5efa checkpoint：\u6458\u8981\u6587\u672c + retain_start_idx<\/span>
    \n checkpoint =<\/span> self.<\/span>compact_store.<\/span>create_checkpoint(<\/span>
    \n summary=<\/span>summary,<\/span>
    \n retain_start_idx=<\/span>retain_start_idx,<\/span>
    \n .<\/span>.<\/span>.<\/span>
    \n )<\/span><\/p>\n

    \u5173\u952e：compact() \u4e0d\u4fee\u6539 HistoryManager \u91cc\u7684\u4efb\u4f55\u6d88\u606f\u3002\u5b83\u53ea\u662f\u5728 CompactStore \u91cc\u5b58\u4e86\u4e00\u4e2a checkpoint（\u6458\u8981 + \u5206\u5272\u70b9）\u3002\u539f\u59cb\u6d88\u606f\u5b8c\u6574\u4fdd\u7559\u3002<\/p>\n

    RoundSegmenter \u7684\u5206\u5272\u903b\u8f91\u5f88\u7b80\u5355：\u6bcf\u9047\u5230 role="user" \u5c31\u5f00\u542f\u65b0\u8f6e：<\/p>\n

    messages: [user\u2081][assistant][tool][tool][user\u2082][assistant][tool][user\u2083]…
    \nrounds: |\u2500\u2500\u2500\u2500\u2500\u2500 Round 1 \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500|\u2500\u2500\u2500\u2500 Round 2 \u2500\u2500\u2500\u2500\u2500|\u2500\u2500 Round 3 \u2500\u2500…<\/p>\n

    \u4fdd\u7559\u6700\u8fd1 10 \u8f6e，\u4e4b\u524d\u7684\u5168\u90e8\u9001\u53bb\u538b\u7f29\u3002<\/p>\n

    summary_generator \u662f\u4ec0\u4e48： \u7531 create_summary_generator(llm, config) \u5728 factory.py \u91cc\u521b\u5efa，\u8fd4\u56de\u4e00\u4e2a\u95ed\u5305\u3002\u8c03\u7528\u65f6\u628a\u65e7\u6d88\u606f\u5e8f\u5217\u5316\u6210\u6587\u672c，\u53d1\u7ed9 LLM，\u63d0\u793a\u8bcd\u8981\u6c42\u751f\u6210\u7ed3\u6784\u5316\u6458\u8981（\u5df2\u5b8c\u6210\u7684\u76ee\u6807\u3001\u5173\u952e\u51b3\u7b56\u3001\u4fee\u6539\u8fc7\u7684\u6587\u4ef6\u7b49）\u3002<\/p>\n

    \n

    \u7b2c\u4e09\u6b65：\u6295\u5f71\u2014\u2014\u51b3\u5b9a\u6a21\u578b\u770b\u5230\u4ec0\u4e48<\/h3>\n

    \u6bcf\u6b21 build_model_view() \u90fd\u8c03 ProjectionBuilder.project()：<\/p>\n

    # runtime\/context\/projection.py<\/span>
    \ndef<\/span> project<\/span>(<\/span>self,<\/span> source_messages)<\/span>:<\/span>
    \n checkpoint =<\/span> self.<\/span>compact_store.<\/span>active_checkpoint<\/p>\n

    if<\/span> not<\/span> checkpoint:<\/span>
    \n # \u6ca1\u6709\u538b\u7f29\u8fc7：\u6a21\u578b\u770b\u5230\u5168\u91cf\u5386\u53f2<\/span>
    \n return<\/span> ProjectionResult(<\/span>messages=<\/span>source_messages,<\/span> mode=<\/span>"full_history"<\/span>)<\/span><\/p>\n

    # \u6709 checkpoint：\u6298\u53e0\u65e7\u5386\u53f2<\/span>
    \n summary_msg =<\/span> Message(<\/span>content=<\/span>checkpoint.<\/span>summary,<\/span> role=<\/span>"summary"<\/span>)<\/span>
    \n recent_messages =<\/span> source_messages[<\/span>checkpoint.<\/span>retain_start_idx:<\/span>]<\/span><\/p>\n

    return<\/span> ProjectionResult(<\/span>
    \n messages=<\/span>[<\/span>summary_msg]<\/span> +<\/span> recent_messages,<\/span>
    \n mode=<\/span>"compact_checkpoint"<\/span>,<\/span>
    \n )<\/span><\/p>\n

    \u538b\u7f29\u540e\u6a21\u578b\u770b\u5230\u7684\u6d88\u606f\u7ed3\u6784：<\/p>\n

    [\u7cfb\u7edf\u6d88\u606f\u00d7N]
    \n[summary \u6d88\u606f] \u2190 "\u4e4b\u524d\u53d1\u751f\u4e86：\u7528\u6237\u8981\u6c42\u91cd\u6784\u8ba4\u8bc1\u6a21\u5757，\u5df2\u5b8c\u6210X\u3001Y\u3001Z…"
    \n[\u6700\u8fd110\u8f6e\u539f\u6587] \u2190 \u5b8c\u6574\u7684 user\/assistant\/tool \u6d88\u606f<\/p>\n

    \u8fd9\u5c31\u662f"\u8bfb\u65f6\u6295\u5f71"：project() \u6bcf\u6b21\u90fd\u4ece\u539f\u59cb source_messages \u91cc\u8bfb，\u52a8\u6001\u751f\u6210\u89c6\u56fe，\u4e0d\u4fee\u6539\u4efb\u4f55\u6570\u636e\u3002checkpoint \u91cc\u7684 retain_start_idx \u662f\u5206\u5272\u70b9，\u544a\u8bc9\u6295\u5f71"\u4ece\u54ea\u91cc\u5f00\u59cb\u4fdd\u7559\u539f\u6587"\u3002<\/p>\n

    \n

    \u4e24\u79cd\u89e6\u53d1\u65b9\u5f0f<\/h3>\n

    \u538b\u7f29\u6709\u4e24\u4e2a\u89e6\u53d1\u65f6\u673a，\u5bf9\u5e94\u4e0d\u540c\u573a\u666f：<\/p>\n

    \u4e3b\u52a8\u89e6\u53d1（\u6bcf\u6b65\u5f00\u59cb\u65f6）：compact_if_needed()，\u5728 _prepare_step_context() \u91cc\u8c03\u7528\u3002\u4f30\u7b97\u8d85\u9608\u503c\u5c31\u89e6\u53d1，\u5c5e\u4e8e\u9884\u9632\u6027\u538b\u7f29\u3002<\/p>\n

    \u88ab\u52a8\u89e6\u53d1（PROMPT_TOO_LONG \u65f6）：reactive_compact()，\u5728 loop \u7684\u5185\u5c42 while \u91cc，\u5f53 LLM \u8c03\u7528\u56e0\u4e0a\u4e0b\u6587\u592a\u957f\u629b\u5f02\u5e38\u65f6\u89e6\u53d1\u3002\u538b\u7f29\u6210\u529f\u540e\u91cd\u5efa model view \u91cd\u8bd5\u3002<\/p>\n

    # \u88ab\u52a8\u89e6\u53d1\u8def\u5f84（loop.py）
    \ntry:
    \n raw_response = llm.invoke_raw(messages, …)
    \nexcept Exception as exc:
    \n if classify_model_error(exc).kind is ModelErrorKind.PROMPT_TOO_LONG:
    \n compact_info = host.context_engine.reactive_compact(…)
    \n if compact_info.get("compacted"):
    \n # \u91cd\u5efa model view，\u5185\u5c42 continue \u91cd\u8bd5
    \n messages = host.context_engine.build_model_view(…).messages
    \n continue<\/p>\n

    \n

    \u538b\u7f29\u5931\u8d25\u600e\u4e48\u529e<\/h3>\n

    summary_generator \u5931\u8d25（LLM \u8d85\u65f6\u3001\u7f51\u7edc\u9519\u8bef）\u65f6，compact() \u8fd4\u56de {"compacted": False, "reason": "summary_unavailable"}，\u4e0d\u505a\u4efb\u4f55\u4fee\u6539\u3002<\/p>\n

    \u4e3b\u52a8\u89e6\u53d1\u65f6：\u8df3\u8fc7\u538b\u7f29，\u8fd9\u6b65\u7ee7\u7eed\u7528\u6ca1\u538b\u7f29\u7684\u5386\u53f2\u3002\u4e0b\u4e00\u6b65\u518d\u5224\u65ad\u8981\u4e0d\u8981\u538b\u7f29\u3002<\/p>\n

    \u88ab\u52a8\u89e6\u53d1\u65f6（PROMPT_TOO_LONG）：\u538b\u7f29\u5931\u8d25 \u2192 \u65e0\u6cd5\u6062\u590d \u2192 loop \u7ec8\u6b62，\u8fd4\u56de\u9519\u8bef\u6d88\u606f\u3002\u8fd9\u662f\u6700\u574f\u60c5\u51b5，\u5b9e\u9645\u4e2d\u5f88\u5c11\u53d1\u751f，\u56e0\u4e3a\u4e3b\u52a8\u89e6\u53d1\u901a\u5e38\u4f1a\u63d0\u524d\u4ecb\u5165\u3002<\/p>\n

    \n

    \u8bbe\u8ba1\u4eae\u70b9<\/h3>\n

    \u5386\u53f2\u6c38\u4e0d\u5220\u9664：HistoryManager append-only，\u538b\u7f29\u4e0d\u4fee\u6539\u5386\u53f2，\u5d29\u6e83\u540e\u53ef\u4ece transcript \u5b8c\u6574\u91cd\u5efa\u3002<\/p>\n

    \u8bfb\u65f6\u6295\u5f71\u800c\u975e\u5199\u65f6\u622a\u65ad：\u622a\u65ad\u662f\u7834\u574f\u6027\u7684（\u4fe1\u606f\u4e22\u5931），\u6295\u5f71\u662f\u53ef\u9006\u7684（checkpoint \u4ecd\u5728，\u968f\u65f6\u53ef\u4ee5\u4e22\u5f03\u91cd\u65b0\u6295\u5f71）\u3002<\/p>\n

    \u4e24\u4e2a\u4f30\u7b97\u6765\u6e90\u53d6 max：\u65e2\u7528\u5b57\u7b26\u6570\u4f30\u7b97（\u5f53\u524d\u6d88\u606f\u5185\u5bb9），\u53c8\u7528\u4e0a\u8f6e\u5b9e\u9645 token \u7528\u91cf，\u53d6\u8f83\u5927\u503c，\u4fdd\u8bc1\u4f30\u7b97\u504f\u4fdd\u5b88\u4e0d\u4f1a\u9057\u6f0f\u3002<\/p>\n

    \u538b\u7f29\u8d85\u65f6\u4e0d\u5d29\u6e83：summary_generator \u5185\u90e8\u7528 ThreadPoolExecutor \u505a\u8d85\u65f6\u63a7\u5236，LLM \u6458\u8981\u8c03\u7528\u8d85\u65f6\u76f4\u63a5\u8fd4\u56de None，\u4e0d\u5f71\u54cd\u4e3b\u5faa\u73af，\u53ea\u662f\u8df3\u8fc7\u8fd9\u6b21\u538b\u7f29\u3002<\/p>\n

    \n

    \u5c0f\u7ed3<\/h3>\n\n\u7ec4\u4ef6\u804c\u8d23<\/tr>\n\n\n\n\n\n\n\n\n
    HistoryManager<\/td>\nappend-only \u4e8b\u5b9e\u65e5\u5fd7，\u6c38\u4e0d\u5220\u9664，\u6240\u6709\u6d88\u606f\u5199\u5165\u7684\u5730\u65b9<\/td>\n<\/tr>\n
    ContextBudgetPolicy<\/td>\n\u4f30\u7b97 token \u7528\u91cf，\u5224\u65ad\u662f\u5426\u8d85\u8fc7\u9608\u503c\u9700\u8981\u538b\u7f29<\/td>\n<\/tr>\n
    RoundSegmenter<\/td>\n\u628a\u5386\u53f2\u6309 user \u6d88\u606f\u8fb9\u754c\u5207\u5272\u6210\u8f6e\u6b21<\/td>\n<\/tr>\n
    ContextCompactor<\/td>\n\u8c03 LLM \u751f\u6210\u65e7\u5386\u53f2\u6458\u8981，\u521b\u5efa checkpoint（\u4e0d\u4fee\u6539\u539f\u59cb\u5386\u53f2）<\/td>\n<\/tr>\n
    CompactStore<\/td>\n\u5b58\u50a8 checkpoint（\u6458\u8981 + \u5206\u5272\u70b9）<\/td>\n<\/tr>\n
    ProjectionBuilder<\/td>\n\u8bfb\u65f6\u6295\u5f71：\u6709 checkpoint \u5219\u8fd4\u56de\u6458\u8981 + \u6700\u8fd1 N \u8f6e，\u5426\u5219\u8fd4\u56de\u5168\u91cf<\/td>\n<\/tr>\n
    ContextEngine<\/td>\n\u4ee5\u4e0a\u6240\u6709\u7ec4\u4ef6\u7684\u534f\u8c03\u8005，\u5bf9\u5916\u66b4\u9732 compact_if_needed() \u548c build_model_view()<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    \u5173\u4e8e\u672c\u7cfb\u5217\u7684\u6e90\u7801<\/h3>\n

    \u672c\u7cfb\u5217\u6240\u6709\u5206\u6790\u5747\u57fa\u4e8e\u5f00\u6e90\u9879\u76ee MyCodeAgent\u3002<\/p>\n

    \u6e90\u7801\u91cc\u5df2\u7ecf\u6309\u7167\u672c\u7cfb\u5217\u6587\u7ae0\u7684\u8bb2\u89e3\u987a\u5e8f，\u5728\u5173\u952e\u4f4d\u7f6e\u52a0\u5165\u4e86\u914d\u5957\u6ce8\u91ca\u2014\u2014\u8bfb\u6587\u7ae0\u65f6\u53ef\u4ee5\u5bf9\u7167\u4ee3\u7801，\u4e5f\u53ef\u4ee5\u76f4\u63a5\u514b\u9686\u4e0b\u6765\u81ea\u5df1\u8dd1\u3001\u6539\u3001\u6269\u5c55，\u57fa\u4e8e\u5b83\u5f00\u53d1\u4f60\u81ea\u5df1\u7684 agent\u3002<\/p>\n

    git<\/span> clone https:\/\/github.com\/chendongqi\/MyCodeAgent
    \ncd<\/span> MyCodeAgent
    \ncp<\/span> .env.example .env # \u586b\u5165\u4f60\u7684 LLM API key<\/span>
    \nuv sync<\/span>
    \nuv run python main.py<\/p>\n

    \n

    \u6b22\u8fce\u8bbf\u95ee PrimeSkills \u2014\u2014 \u4e00\u4e2a\u7cbe\u5fc3\u7b56\u5212\u7684 AI Agent \u4e0e\u6280\u80fd\u5e02\u573a，\u6240\u6709\u5185\u5bb9\u5747\u7ecf\u8fc7\u771f\u5b9e\u4f01\u4e1a\u7ea7\u5de5\u4f5c\u6d41\u9a8c\u8bc1\u3002\u6ca1\u6709\u5671\u5934，\u53ea\u6709\u771f\u6b63\u6709\u6548\u7684\u4e1c\u897f\u3002<\/p>\n

    \u66f4\u591a\u5b9e\u7528\u77e5\u8bc6\u548c\u6709\u8da3\u4ea7\u54c1，\u6b22\u8fce\u8bbf\u95ee\u6211\u7684\u4e2a\u4eba\u4e3b\u9875<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u95ee\u9898\u4ece\u54ea\u91cc\u6765
    \n\u4e00\u4e2a coding agent \u8dd1\u8d77\u6765，\u6bcf\u4e2a ReAct step \u90fd\u5f80\u5386\u53f2\u91cc\u8ffd\u52a0\u6d88\u606f：\u7528\u6237\u8f93\u5165\u3001\u6a21\u578b\u56de\u7b54\u3001\u5de5\u5177\u8c03\u7528\u3001\u5de5\u5177\u7ed3\u679c\u3002\u8dd1\u4e8c\u4e09\u5341\u6b65\u4e4b\u540e，\u5386\u53f2\u91cc\u53ef\u80fd\u6709\u51e0\u767e\u6761\u6d88\u606f\u3001\u51e0\u4e07\u4e2a token\u3002
    \nLLM \u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u662f\u6709\u9650\u7684（\u9ed8\u8ba4 128k token）\u3002\u628a\u5168\u91cf\u5386\u53f2\u539f\u6837\u53d1\u7ed9\u6a21\u578b\u6709\u4e24\u4e2a\u95ee\u9898：
    \n\u8d85\u9650\u62a5\u9519：\u8d85\u8fc7\u4e0a\u4e0b\u6587\u7a97\u53e3，API \u8fd4\u56de PROMPT_TOO_<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10336,50,371,227],"topic":[],"class_list":["post-97381","post","type-post","status-publish","format-standard","hentry","category-server","tag-10336","tag-50","tag-371","tag-227"],"yoast_head":"\nCode Agent \u89e3\u5256\uff0809\uff09\uff1a\u5bf9\u8bdd\u8d8a\u6765\u8d8a\u957f\uff0ctoken \u8d85\u4e86\u600e\u4e48\u529e\uff1f - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/97381.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Code Agent \u89e3\u5256\uff0809\uff09\uff1a\u5bf9\u8bdd\u8d8a\u6765\u8d8a\u957f\uff0ctoken \u8d85\u4e86\u600e\u4e48\u529e\uff1f - 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