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Archer
2ccb5b50c6
* feat: add query optimize and bill (#6021) * add query optimize and bill * perf: query extension * fix: embe model * remove log * remove log * fix: test --------- Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: archer <545436317@qq.com> * feat: notice (#6013) * feat: record user's language * feat: notice points/dataset indexes; support count limit; update docker-compose.yml * fix: ts error * feat: send auth code i18n * chore: dataset notice limit * chore: adjust * fix: ts * fix: countLimit race condition; i18n en-prefix locale fallback to en --------- Co-authored-by: archer <545436317@qq.com> * perf: comment * perf: send inform code * fix: type error (#6029) * feat: add ip region for chat logs (#6010) * feat: add ip region for chat logs * refactor: use Geolite2.mmdb * fix: export chat logs * fix: return location directly * test: add unit test * perf: log show ip data * adjust commercial plans (#6008) * plan frontend * plan limit * coupon * discount coupon * fix * type * fix audit * type * plan name * legacy plan * track * feat: add discount coupon * fix * fix discount coupon * openapi * type * type * env * api type * fix * fix: simple agent plugin input & agent dashboard card (#6034) * refactor: remove gridfs (#6031) * fix: replace gridfs multer operations with s3 compatible ops * wip: s3 features * refactor: remove gridfs * fix * perf: mock test * doc * doc * doc * fix: test * fix: s3 * fix: mock s3 * remove invalid config * fix: init query extension * initv4144 (#6037) * chore: initv4144 * fix * version * fix: new plans (#6039) * fix: new plans * qr modal tip * fix: buffer raw text filename (#6040) * fix: initv4144 (#6041) * fix: pay refresh (#6042) * fix: migration shell * rename collection * clear timerlock * clear timerlock * perf: faq * perf: bill schema * fix: openapi * doc * fix: share var render * feat: delete dataset queue * plan usage display (#6043) * plan usage display * text * fix * fix: ts * perf: remove invalid code * perf: init shell * doc * perf: rename field * perf: avatar presign * init * custom plan text (#6045) * fix plans * fix * fixed * computed --------- Co-authored-by: archer <545436317@qq.com> * init shell * plan text & price page back button (#6046) * init * index * delete dataset * delete dataset * perf: delete dataset * init --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: Roy <whoeverimf5@gmail.com> Co-authored-by: heheer <heheer@sealos.io>
63 lines
2.1 KiB
JSON
63 lines
2.1 KiB
JSON
{
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"ai.query_extension_embedding": "问题优化-embedding",
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"ai_model": "AI 模型",
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"all": "所有",
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"answer_accuracy": "评测-回答准确性",
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"app_name": "应用名",
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"auto_index": "索引增强",
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"billing_module": "扣费模块",
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"check_left_points": "查看剩余积分",
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"compress_llm_messages": "AI 历史记录压缩",
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"confirm_export": "共筛选出 {{total}} 条数据，是否确认导出？",
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"count": "运行次数",
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"current_filter_conditions": "当前筛选条件：",
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"dashboard": "仪表盘",
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"details": "详情",
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"dingtalk": "钉钉",
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"duration_seconds": "时长（秒）",
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"embedding_index": "索引生成",
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"evaluation": "应用评测",
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"every_day": "天",
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"every_month": "月",
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"every_week": "每周",
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"export_confirm": "导出确认",
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"export_confirm_tip": "当前共 {{total}} 条使用记录，确认导出？",
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"export_success": "导出成功",
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"export_title": "时间,成员,类型,项目名,AI 积分消耗",
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"feishu": "飞书",
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"generate_answer": "生成应用回答",
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"generation_time": "生成时间",
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"image_index": "图片索引",
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"image_parse": "图片标注",
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"input_token_length": "输入 tokens",
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"llm_paragraph": "模型分段",
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"mcp": "MCP 调用",
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"member": "成员",
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"member_name": "成员名",
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"module_name": "模块名",
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"month": "月",
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"no_usage_records": "暂无使用记录",
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"official_account": "公众号",
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"order_number": "订单号",
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"output_token_length": "输出 tokens",
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"pages": "页数",
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"pdf_enhanced_parse": "PDF 增强解析",
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"pdf_parse": "PDF 解析",
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"points": "积分",
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"project_name": "项目名",
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"qa": "问答对提取",
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"rerank": "结果重排",
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"search_test": "搜索测试",
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"select_member_and_source_first": "请先选中成员和类型",
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"share": "分享链接",
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"source": "来源",
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"text_length": "文本长度",
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"token_length": "token 长度",
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"total_points": "AI 积分消耗",
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"total_points_consumed": "AI 积分消耗",
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"total_usage": "总消耗",
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"usage_detail": "使用详情",
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"user_type": "类型",
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"wecom": "企业微信"
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}
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