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Author SHA1 Message Date
Gong Shiqi d69f73f1bc Merge pull request #169 from modelstudioai/release/1.17.0
chore(release): prepare 1.17.0
2026-08-18 19:10:54 +08:00
若麒 28fc1b6056 chore(release): prepare 1.17.0 2026-08-18 18:57:33 +08:00
Gong Shiqi a8774cc143 Merge pull request #168 from modelstudioai/feat/bilingual-quick-start-examples
feat(i18n): support bilingual CLI help and quick start
2026-08-18 17:07:45 +08:00
若麒 fea86dc5aa Merge branch 'main' into feat/bilingual-quick-start-examples 2026-08-18 16:28:23 +08:00
若麒 06210a4e33 feat(i18n): localize newly added CLI help content 2026-08-18 15:58:39 +08:00
若麒 e31addf0d6 Merge branch 'main' into feat/bilingual-quick-start-examples 2026-08-18 14:33:34 +08:00
gujieye 6e3fdeafc0 Merge pull request #167 from modelstudioai/feat/usage_auto_stop
fix(usage): allow disabling auto-stop regardless of quota and fix Aut…
2026-08-17 20:54:33 +08:00
Gong Shiqi 0d28a35e26 Merge pull request #158 from modelstudioai/feat/cma-deployment
feat(managed-agent): add OpenAgentPack deployment support
2026-08-17 20:43:22 +08:00
故璃 af95a9ec67 fix(usage): allow disabling auto-stop regardless of quota and fix Auto-Stop column display
- Remove client-side check that blocked 'freetier --off' when quota
  remains; align with web behavior (switch is always operable)
- Prioritize stopMap ON/OFF over quotaStatus UNKNOWN in rendering
- Query auto-stop status only for filtered models to avoid server-side
  batch limit error (TRAIN_INTERNAL_ERROR_EXP with 494 models)
2026-08-17 20:25:56 +08:00
chenanran555 7aa6aab7d7 chore(release): prepare 1.17.0 2026-08-17 17:28:01 +08:00
chenanran555 6811ec619d Merge remote-tracking branch 'origin/main' into feat/cma-deployment
# Conflicts:
#	packages/cli/package.json
#	packages/commands/package.json
#	packages/core/package.json
#	packages/kscli/package.json
#	packages/runtime/package.json
#	skills/bailian-cli/SKILL.md
#	skills/bailian-finetune/SKILL.md
#	skills/bailian-gen/SKILL.md
#	skills/bailian-managed-agent/SKILL.md
#	skills/bailian-protocol/SKILL.md
2026-08-17 17:18:53 +08:00
clark-fc ad5c44d746 Merge pull request #166 from modelstudioai/feat/iteration1-w1-foundation
Feat/iteration1 w1 foundation
2026-08-17 14:08:56 +08:00
zeyu.fz 9450895a06 test(commands): 添加dry-run参数测试支持文件检测
- 增加--dry-run参数的测试用例
- 验证在dry-run模式下无支持文件的退出码和错误信息
- 确保无支持文件时正确返回错误码2
2026-08-17 13:59:05 +08:00
zeyu.fz e681263049 feat(cli): 增加知识库全生命周期管理命令
- 新增知识库管理命令实现创建、查询、更新、删除等功能
- 支持文档上传、本地目录扫描及OSS导入,覆盖完整文档生命周期
- 增加检索与问答服务的管理及部署操作
- 实现文档切片管理,支持添加、列表、更新和删除功能
- 引入数据中心管理命令,管理类目、文件和数据集
- 检索和问答支持指定服务版本参数,方便调试和版本控制
- 所有知识库命令同步支持kscli工具,提供更短命令路径
- 移除无效参数`bl knowledge search --query-history`,建议改用聊天命令传递历史
- 请求增加静态OpenAPI来源标识请求头,改进后台渠道归因
- 添加知识库端到端测试套件,覆盖多条使用场景
- 版本号统一更新至1.16.0,文档同步更新相关版本信息
2026-08-17 13:40:44 +08:00
gujieye ffc460156c Merge pull request #165 from modelstudioai/feat/cli-skill-sync
Feat/cli skill sync
2026-08-17 13:05:11 +08:00
zeyu.fz 70b50060cf Merge remote-tracking branch 'origin/main' into feat/iteration1-w1-foundation 2026-08-17 12:55:57 +08:00
故璃 3909a17da1 Merge branch 'main' into feat/cli-skill-sync 2026-08-17 12:51:26 +08:00
gujieye 5ed15d3a16 Merge pull request #164 from modelstudioai/feat/version-1.15.1
chore(release): prepare 1.15.1
2026-08-17 12:04:38 +08:00
故璃 640dd02bc5 chore(release): prepare 1.15.1 2026-08-17 11:55:36 +08:00
gujieye 6eeb8fe0cb Merge pull request #163 from modelstudioai/feat/version-1.15.1
docs(changelog): document 1.15.1
2026-08-17 11:38:42 +08:00
故璃 d0610a61dc docs(changelog): document 1.15.1 2026-08-17 11:25:17 +08:00
gujieye 57c2d98308 Merge pull request #160 from modelstudioai/feat/skill-init-simplify
feat: update skill init output
2026-08-17 11:01:35 +08:00
gujieye 78e6993475 Merge pull request #162 from modelstudioai/feat/model-command-update
feat: update model quota limit & add model permission command
2026-08-17 00:06:30 +08:00
故璃 79a0d2db9a fix(permission): drop explicit undefined return and make revoke --all e2e credential-independent 2026-08-16 23:48:19 +08:00
故璃 8e6af6c669 feat: update model quota limit & add model permission command 2026-08-16 19:49:23 +08:00
Gong Shiqi f7d32504ab Merge pull request #161 from modelstudioai/agent/release-1.15.0
chore(release): prepare 1.15.0
2026-08-15 14:51:34 +08:00
若麒 cdf94a8c89 chore(release): prepare 1.15.0 2026-08-15 14:33:55 +08:00
故璃 7461189007 Merge branch 'main' into feat/cli-skill-sync 2026-08-15 10:22:09 +08:00
故璃 4ccda5f929 feat: update skill init output 2026-08-15 10:15:00 +08:00
zeyu.fz 4086da572f docs(knowledge): 修改多处参数描述为“精确匹配”并完善错误处理说明
- 将 category-list、file-list、service-list 等命令参数的描述更新为强调“精确匹配”
- file-list 命令中 --name 参数改为匹配不含扩展名的精确文件名,并在备注中补充说明
- kb-stats 命令严格校验时间格式,增强无效格式报错及提示
- 丰富知识相关测试用例,增加对不存在 ID 的服务端错误传递和非零退出的正向断言
- 优化知识文档上传测试,支持跳过 node_modules/.git 文件夹及显示被跳过文件详情
- 修正知识搜索及聊天流程中未发布版本号引发的服务器拒绝场景测试
- 更新知识模块命令文档,补充参数要求和用法提示,提升用户指引明确度
2026-08-14 23:59:05 +08:00
chenanran555 8b7956d547 Merge remote-tracking branch 'origin/main' into feat/cma-deployment
# Conflicts:
#	CHANGELOG.md
#	CHANGELOG.zh.md
#	packages/cli/package.json
#	packages/commands/package.json
#	packages/core/package.json
#	packages/kscli/package.json
#	packages/runtime/package.json
#	skills/bailian-cli/SKILL.md
#	skills/bailian-finetune/SKILL.md
#	skills/bailian-gen/SKILL.md
#	skills/bailian-managed-agent/SKILL.md
#	skills/bailian-protocol/SKILL.md
2026-08-14 19:15:13 +08:00
chenanran555 7e21573793 feat(managed-agent): add OpenAgentPack deployment support 2026-08-14 19:01:47 +08:00
Gong Shiqi ce4d66b736 Merge pull request #157 from modelstudioai/release/1.15.0
docs(changelog): document 1.14.2 through 1.15.0
2026-08-14 19:00:08 +08:00
若麒 f6cf2b999a feat(config): add bilingual UI with in-place language switching 2026-08-14 18:55:09 +08:00
若麒 196a0aa506 docs(changelog): document 1.14.2 through 1.15.0 2026-08-14 18:50:35 +08:00
gujieye a9b0a752a8 Merge pull request #155 from modelstudioai/feat/coding-plan-usage
feat: add coding plan usage
2026-08-14 17:36:47 +08:00
Gong Shiqi 2b7a0c742a Merge pull request #156 from modelstudioai/feat/text-chat-responses-api
feat(text): support Responses API
2026-08-14 17:21:40 +08:00
Gong Shiqi e5818e103c Merge pull request #145 from modelstudioai/feat/change-skills-install
Switch official skill install to bl skill init
2026-08-14 17:21:24 +08:00
若麒 2fe50f59a4 feat(commands): localize command help examples 2026-08-14 17:15:46 +08:00
若麒 7797940626 docs(skills): clarify update install channel 2026-08-14 17:14:23 +08:00
gujieye 5f1c97940d Merge branch 'main' into feat/coding-plan-usage 2026-08-14 17:05:53 +08:00
若麒 94ccab0898 feat(text): support Responses API 2026-08-14 17:02:29 +08:00
clh02467605 418dcffc53 docs(install,skills): prefer bl skill init and clarify post-install guidance 2026-08-14 16:57:24 +08:00
clh02467605 b895f88abb Merge remote-tracking branch 'origin/feat/change-skills-install' into feat/change-skills-install 2026-08-14 16:48:36 +08:00
clh02467605 7eedc05b99 docs: Modify the preferred installation method 2026-08-14 16:47:30 +08:00
若麒 f3c7b6fb10 docs(readme): add standalone installation options 2026-08-14 16:28:51 +08:00
若麒 eb196cb4a6 docs(readme): add standalone installation options 2026-08-14 16:26:47 +08:00
Gong Shiqi f1b6cacd7f Merge pull request #153 from modelstudioai/feat/mcp-support-sse
Add MCP classic SSE auto-fallback for Bailian and --url
2026-08-14 16:07:15 +08:00
若麒 9ddb8dab53 refactor(runtime): remove unused i18next dependency 2026-08-14 15:56:29 +08:00
故璃 9133b6bdd1 feat: add coding plan usage 2026-08-14 15:56:16 +08:00
若麒 23f1ab7fd4 feat(commands): localize remaining command help 2026-08-14 15:54:38 +08:00
clh02467605 98ba3279fa fix(runtime): expose errno in fetch-failed JSON cause.code 2026-08-14 15:27:26 +08:00
clh02467605 3b7c4cfabc Merge remote-tracking branch 'refs/remotes/origin/main' into feat/mcp-support-sse 2026-08-14 14:42:21 +08:00
clh02467605 d5d9fcb50f fix: fixed sse error 2026-08-14 14:41:37 +08:00
zeyu.fz d5c4bd3572 docs(knowledge): 优化知识库文档内容及CLI说明
- 修改表格/图片知识库必须提供`--doc-id`的描述,更准确表达要求
- 调整CLI命令文档中过期或不准确信息,说明集合删除暂不支持
- 更新chunk添加命令中`--doc-id`的说明,强调对所有知识库类型均必需
- 精简chunk删除命令备注,明确批量操作自动分批处理
- 优化文档删除命令描述,强调删除异步传播及输出行为
- 修正文档状态命令中错误提示用词,更清晰表达
- 文件列表命令修改说明,明确默认分类ID不解析
- 知识库信息命令删除过时备注,突出索引设置不可变
- 服务删除命令简洁描述幂等性和权限要求
- 服务列表命令调整对场景参数的描述,明确必传要求
2026-08-14 13:40:08 +08:00
若麒 f67ca55ec6 feat(commands): localize multimodal command help 2026-08-14 11:42:16 +08:00
若麒 6b2f49de71 feat(commands): localize help for core commands 2026-08-14 11:28:25 +08:00
zeyu.fz eb4f9af3e7 fix(knowledge): 修正 getConnector 不返回 fileConnectorConfig 问题
- 移除 collection-get 命令中对 fileConnectorConfig 字段的输出
- 文档中补充说明 getConnector 不返回 storeType、regionId、bucketName 等字段
- 更新类型定义,去除 RagConnectorInfo 中的 fileConnectorConfig 字段
- 明确这些字段只在创建连接时请求体中传入,查询时不可读取
2026-08-14 11:21:44 +08:00
clh02467605 3ea2931152 fix(mcp): harden SSE parsing, abort, and fallback matching 2026-08-14 11:11:47 +08:00
gujieye b402f3eacd Merge pull request #141 from sonicg83/codex/usage-token-plan-reset-times
fix(usage): handle missing Token Plan quota fields
2026-08-14 11:10:56 +08:00
zeyu.fz b7a4efe619 feat(speech): 支持同步Flash ASR模型和异步文件转录模型
- 新增同步Flash ASR模型请求流程,支持单音频文件识别
- 实现了对同步Flash模型不支持异步标志及参数的限制校验
- 异步文件转录模型支持单文件URL上传和语言参数细化
- 优化异步和同步鉴权域显示,丰富根帮助和分组帮助提示
- speech recognize增加dry-run测试覆盖多种识别场景
- free-tier自动停用功能优化,改用统一轮询函数处理批量请求
- 统一轮询逻辑,支持console和telemetry接口的异步任务完成判定
- 规范输出格式和错误提示,增强用户调试体验
- 版本升级到1.14.3,更新示例参数和模型ID引用
2026-08-14 11:07:21 +08:00
gujieye bedd59df27 Merge branch 'main' into codex/usage-token-plan-reset-times 2026-08-13 19:54:06 +08:00
故璃 39a488181e refactor(usage): align token-plan with --output convention and tolerant quota reading 2026-08-13 19:43:11 +08:00
若麒 4ec0f6828b fix(update): sync skills after binary upgrades 2026-08-13 19:14:49 +08:00
clh02467605 4dcec7d075 fix(mcp): fix SSE header timeout, 405 fallback matching, and parseSSE chunking 2026-08-13 18:32:54 +08:00
若麒 29ce8990b9 fix(runtime): accept localized Command Pack descriptions 2026-08-13 17:54:35 +08:00
若麒 a770cbe787 feat(cli): adapt Quick Start to the configured language 2026-08-13 17:54:10 +08:00
zeyu.fz 30f7525d50 docs(commands): 更新知识库分块命令中 --doc-id 的描述和注意事项
- 说明 --doc-id 在实际使用中为必需,避免服务器返回 HTTP 500 错误
- 明确指出应使用 doc list 命令中的文档级别 ID,拒绝使用 chunk list 中的每行 doc_id
- 新增说明向图片类型文档添加文本块会触发服务器错误,建议使用文本类型文档
- 对帮助文档中相关描述和备注进行了同步更新,增强使用指导性和准确性
2026-08-13 16:42:19 +08:00
Gong Shiqi daefc094ec Merge pull request #149 from modelstudioai/fix/fixed_issue_146
fix: support sync-flash and qwen3-filetrans ASR models in speech recognize
2026-08-13 16:26:32 +08:00
zeyu.fz aa38d5c670 fix(commands): 修复知识库创建时请求ID未传递问题
- 在知识库创建成功日志中添加请求ID信息
- 确保导入作业失败消息中包含请求追踪数据
- 改进日志详细程度,方便问题排查
2026-08-13 16:25:34 +08:00
zeyu.fz cc51164c2f fix(knowledge): 优化导入任务轮询逻辑与失败信息展示
- 添加函数判断所有文档是否达到终止状态,防止服务器无限保持运行状态
- 修改失败信息函数,展示失败和成功文档详情,方便用户了解整体情况
- 调整轮询任务完成条件,新增所有文档终止状态判断,提升轮询准确性
- 改进轮询状态显示,增加失败文档数量与总计信息,清晰反馈任务进展
2026-08-13 16:18:37 +08:00
若麒 6b685964f3 feat(runtime): support colocated localized CLI help text 2026-08-13 16:12:09 +08:00
clh02467605 ae0c2c1213 fix(speech): handle qwen3-filetrans singular result.transcription_url
Normalize async ASR transcription items so waiting mode downloads text and --out works without changing shared media task types.
2026-08-13 15:52:34 +08:00
clh02467605 01a62eb85b Merge remote-tracking branch 'refs/remotes/origin/main' into feat/mcp-support-sse 2026-08-13 15:40:04 +08:00
clh02467605 798ce596f6 fix(mcp): harden SSE fallback for Bailian and --url overrides 2026-08-13 15:37:32 +08:00
clh02467605 bd91e9d1c2 Merge remote-tracking branch 'refs/remotes/origin/main' into fix/fixed_issue_146
# Conflicts:
#	skills/bailian-gen/reference/index.md
#	skills/bailian-gen/reference/speech.md
2026-08-13 14:36:16 +08:00
clh02467605 e244771ee9 test(speech): harden flash ASR contract coverage and docs
Add SSE disable header, data-URI format inference, broader response text
parsing, HTTP contract e2e, pipeline routing tests, and ASR model selection
guidance in bailian-gen.
2026-08-13 14:25:47 +08:00
Gong Shiqi 94f9dbbe9e Merge pull request #151 from modelstudioai/feat/command-auth-help
feat(cli): show command authentication requirements in help
2026-08-13 13:38:28 +08:00
若麒 8a0dd70206 feat(cli): show command authentication requirements in help 2026-08-13 12:01:41 +08:00
clh02467605 9379da7a4c fix(speech): align flash vocabulary_id and qwen3-filetrans language params 2026-08-13 09:47:09 +08:00
clh02467605 ddcd564e61 test: dry-run realtime ASR usage-error e2e to skip auth in CI 2026-08-12 17:22:25 +08:00
gujieye 0e4dd4b824 Merge pull request #148 from modelstudioai/feat/usage_free_api
refactor(usage): consolidate shared poll logic; migrate freeTrial API…
2026-08-12 17:13:59 +08:00
clh02467605 241de61866 fix: support sync-flash and qwen3-filetrans ASR models in speech recognize
- Add asr-routes.ts with resolveAsrApi() to route models to the correct
  DashScope endpoint instead of always hitting asr/transcription
- Async filetrans: fun-asr / paraformer / *-filetrans → file_urls (plural)
- Async filetrans (qwen3): qwen3-asr-flash-filetrans* → file_url (singular)
- Sync flash (input-audio): fun-asr-flash* / qwen-audio-*-asr-flash → multimodal-generation
- Sync flash (qwen3): qwen3-asr-flash* → multimodal-generation + asr_options
- Realtime/streaming models now give a clear USAGE error instead of a
  confusing server-side "url error"
- Propagate same routing logic to pipeline speechRecognize step
- Add table-driven unit tests and dry-run e2e assertions
Fixes #146
2026-08-12 17:12:23 +08:00
故璃 61d9a74166 fix: 1.14.3 2026-08-12 17:05:18 +08:00
故璃 69eb759490 refactor(usage): consolidate shared poll logic; migrate freeTrial APIs to bailian-commerce
Dedup:
- shared.ts: extract generic pollConsoleUntilDone (request-builder callback
  absorbs each wrapper convention); pollTelemetryApi becomes a thin wrapper;
  add pollFreeTierBatch
- freetier.ts / stats.ts: drop inline duplicates of extractResponseData,
  polling, model-list paging, free-tier extractors and usage label maps;
  import from shared.ts (behaviour unchanged: freetier keeps its 20-poll
  budget, telemetry keeps 30)

Endpoint migration (broadscope-bailian.freeTrial -> bailian-commerce.freeTrial):
- queryFreeTierQuota, queryFreeTierOnlyStatus, batchActivateFreeTierOnly,
  batchDeactivateFreeTierOnly
- update the console call example and the gateway doc comment to match

Note: verified statically and via dry-run; live calls pending a fresh
console login (session expired).
2026-08-12 16:30:08 +08:00
clh02467605 313966d7a9 feat(mcp): add SSE support with fallback mechanism for MCP connections
- Add McpSseClient implementation for classic HTTP+SSE MCP protocol
- Implement connectBailianMcpWithFallback with Streamable HTTP to SSE fallback
- Add isStreamableHttpUnsupported helper to detect 405 streamableHttp errors
- Update activate-hint logic to handle WebSearch 405 streamableHttp cases
- Replace direct MCP client usage with connection manager in call/tools commands
- Add proper client cleanup with close() calls in finally blocks
- Export new MCP connection utilities and types from core client module
- Add comprehensive tests for SSE client and fallback behavior
2026-08-12 15:44:51 +08:00
故璃 d74d4efcd0 fix(dataset): align validation with the platform data-format rules doc
Reviewed against the official text-tuning data rules; fixes two confirmed
mismatches and fills enforcement gaps:

- thinking: exempt assistant messages carrying tool_calls from the
  THINK_TAG_NOT_LAST check — the spec's tool+thinking combo example puts
  <think> on a non-last assistant and was previously false-flagged
- DPO support matrix: reject image/video content items, tools, tool_calls
  and role:tool (DPO_UNSUPPORTED_ELEMENT); also scan chosen/rejected
- DPO: messages not ending with user upgraded warning -> error
- OpenAI migration: name/weight upgraded warning -> error (spec: must not
  carry); drop dead record-level name branch
- tool_call_id: unmatched tool response upgraded warning -> error
  (one-to-one per spec); new TOOL_CALL_NO_RESPONSE warning for orphan calls
- loss_weight: validate range at message level too; warn when placed on
  anything but the last assistant message (LOSS_WEIGHT_PLACEMENT)
- video params: fps/sample_fps must be within [0.1, 10]
  (INVALID_VIDEO_FPS); mode-mismatched params warned
  (VIDEO_PARAM_MODE_MISMATCH); video_start/video_end type-checked
- zip: skip macOS packaging metadata (__MACOSX/, .DS_Store, ._*) in
  filename constraints and image counting to stop false failures on
  Finder-created archives

Tests 45 -> 59 covering every new/changed rule, including a replica of the
spec's official tool+thinking example.
2026-08-12 10:09:10 +08:00
故璃 e7422bd2e5 fix(dataset): align validation rules with platform data format spec
- Support content array format [{text/image/video}] alongside legacy string
- Add tool role support with tool_calls structure and tool_call_id validation
- Add thinking tag placement check (only in last assistant message)
- Add OpenAI migration guards: warn on unsupported name/weight fields
- Add loss_weight range validation (0.0–1.0)
- Fix size limits: SFT/DPO 200MB, CPT 300MB, media ZIP 2GB
- Enforce data.jsonl at ZIP root (reject nested wrapping folders)
- Add ZIP filename constraints: charset [a-zA-Z0-9_-], length ≤120, uniqueness
- Add .tif to accepted image extensions
- Add DPO_LAST_MSG_NOT_USER warning when messages don't end with user role
- CPT profile now uses dedicated 300MB cap instead of shared default
- Expand unit tests from 19 to 45 covering all new validation paths
2026-08-12 07:48:11 +08:00
zeyu.fz 2d5c49b02e fix(knowledge): 优化quiet和format参数的输出逻辑
- 在file-get命令中,quiet模式下仅输出fileId,避免了多余的结果格式化
- 在kb-info命令中,quiet模式仅输出id,格式化输出逻辑得到简化
- 在kb-stats命令中,去除了quiet判断,确保非"text"格式下正确输出结果
- 在service-get命令中,quiet模式下只输出agent_id,格式化部分调整为独立判断
- 统一了各命令中针对quiet和format参数的处理流程,提升代码一致性和可读性
2026-08-11 20:05:44 +08:00
zeyu.fz 9bd8b60c22 refactor(knowledge-search): 移除对 query-history 功能的支持及相关代码
- 从文档中删除了 query-history 参数及示例
- 删除命令行接口中 query-history 相关 flag 定义
- 移除解析和传递 query-history 的逻辑代码
- 调整测试用例,去除对 query-history 的相关断言和测试
- 更新帮助文档,删除 query-history 相关说明和示例
- 精简接口类型定义,去除 query_history 字段
2026-08-11 19:44:00 +08:00
zeyu.fz 0369bd36b0 fix(knowledge): 修复内容文件读取时的编码和错误提示
- 为知识块添加和更新命令的读取内容文件函数添加了可选的inline flag参数
- 更新readUtf8TextFile以支持根据inline flag生成更友好的ENOENT错误提示
- 确保内容读取时使用严格的UTF-8编码解码方式
- 如果读取文件失败,提供文件路径和权限相关的详细错误信息
- 校验知识块内容长度时保持一致的错误处理逻辑
2026-08-11 17:48:21 +08:00
zeyu.fz 92a978af3c fix(knowledge): 验证并限制查询时间范围为过去时间
- 修改时间参数说明,明确要求起止时间必须为过去时间
- 添加起始时间未来时报错机制,避免无意义查询
- 截断结束时间未来时间至当前时间,保障监控接口正确响应
- 添加测试覆盖,验证时间范围边界行为及错误处理
- 补充对应端到端测试路由映射,完善测试用例组织结构
2026-08-11 17:39:40 +08:00
若麒 ea7b0f016f feat(cli): add bilingual quick-start examples 2026-08-11 15:49:05 +08:00
故璃 9749a11d76 fix(finetune): detect video-kf2v sub-variant from local dataset
finetune video create passed a fixed modality "video" to the profile
validator without probing the data for last_frame_path. This caused a
false KF2V_DATA_MISMATCH error when training kf2v models (wan2.2-kf2v-*)
with datasets that correctly contain last_frame_path.

Add sub-variant detection symmetric to the existing image-i2i upgrade:
when a local file is provided, detectModality() inspects the first record
and upgrades "video" → "video-kf2v" if last_frame_path is present.
2026-08-11 14:50:58 +08:00
故璃 2965080cb7 feat(skills): replace foreign skill dirs containing SKILL.md during fan-out
Previously, fan-out skipped any existing real directory not recorded in
the lock file, treating it as user content. This left stale skill copies
installed by other tools (e.g. npx skills add) permanently out of date.

Now: if the directory contains a SKILL.md, it is recognized as a skill
artifact and replaced with a symlink to the canonical dir. Directories
without SKILL.md are still preserved (user content safety boundary).
2026-08-11 14:29:10 +08:00
zeyu.fz 81959145d7 test(auth): 添加 openApiSource 头和相关测试字段
- 在请求和响应处理中新增 openApiSource 字段
- 更新 e2e 测试以包含 openApiSource 字段验证
- 确保请求头包含 x-dashscope-openapisource 信息
- 在测试数据中添加 openApiSource 的示例值 BailianCLI
2026-08-11 14:23:01 +08:00
zeyu.fz 4343fc87af feat(core): 添加并统一管理 x-dashscope-openapisource 请求头
- 在 headers.ts 中新增 OPEN_API_SOURCE 常量,作为静态的 OpenAPI 源标识
- 在 trackingHeaders 函数中添加 x-dashscope-openapisource 请求头
- 更新 client/index.ts 以导出 OPEN_API_SOURCE
- 在 instrumented-fetch.test.ts 中添加对应请求头的测试,确保其正确添加或省略
- 修改文档注释,明确 x-dashscope-openapisource 与 x-dashscope-source-config 的用途和区别
2026-08-11 14:20:44 +08:00
故璃 1c76749ee5 feat: update datalist validate 2026-08-11 13:33:31 +08:00
zeyu.fz 1b568e8d37 test(knowledge): 补全知识库相关命令参数并增加E2E测试覆盖
- 添加知识库列表、创建、删除及文件删除等命令路由
- 新增知识块、分类、文件相关参数的端到端测试,覆盖文件列表、分类列表、块新增更新及分页等功能
- 增加对知识文档状态上传、等待、轮询参数的实时测试及自清理逻辑
- 新增知识文档列表分页、过滤参数的E2E测试覆盖
- 扩展知识文档上传命令的轮询间隔参数测试,验证无错误
- 补充知识库删除命令的轮询间隔参数传递测试
- 增强知识库列表的分页、名称过滤测试用例
- 丰富知识服务命令的参数全覆盖测试,包括创建、更新、部署、删除及多版本描述等功能
- 添加知识检索命令的重新排序指令与过时参数的实时测试覆盖
2026-08-11 13:17:34 +08:00
故璃 5d1b7aac3a Merge branch 'main' into feat/cli-skill-sync 2026-08-11 10:47:45 +08:00
zeyu.fz e292b20d4b docs(knowledge): 添加知识库各类资源及操作命令手册
- 新增 Chunk 管理命令手册,涵盖添加、列出、更新、删除操作详解
- 新增数据中心集合与分类命令文档,介绍集合创建、查看,分类增删查等功能
- 新增文档管理命令,包含文档上传、导入 OSS、状态查询、删除及标签管理
- 新增数据中心文件管理文档,涵盖文件列表、详情查看、删除等命令说明
- 新增知识库管理命令手册,包含知识库创建、查看、更新、删除和监控
- 各命令均详细说明参数、输出格式及多模式支持(text/quiet/json)
- 提供丰富示例及注意事项,帮助用户正确使用相关命令
2026-08-11 01:02:49 +08:00
zeyu.fz 12e7a22195 test(knowledge): 增加文档相关命令的独立读回验证
- 在 knowledge doc delete 命令中添加异步删除的轮询验证,确保文档从服务器彻底移除
- 为 knowledge doc tag 添加标签设置后,独立调用 file get 验证标签正确应用
- 在知识库更新操作后,通过 info 命令独立验证更新是否成功保存
- 在文件删除和类别删除后,通过独立列表命令验证资源确实被清除
- 对知识块更新及排除标记修改,添加通过列表接口的内容验证步骤
- 对知识服务代理删除操作后,增加独立查询接口确保代理已彻底删除
- 补充 doc delete 备注,明确 doc_id 与 fileId 的区别及异步删除机制说明
- 增加 e2e 路由映射中缺失的 knowledge info 和 knowledge file get 命令支持
2026-08-10 17:37:21 +08:00
zeyu.fz 219d8be80a test(e2e): 修正知识库删除测试中文件名匹配逻辑
- 移除未使用的完整文件名变量
- 使用文件名主干(去掉扩展名)进行文档匹配判断
- 更新断言提示信息以反映主干文件名匹配
- 提升测试对文档名称匹配的准确性与鲁棒性
2026-08-10 16:29:14 +08:00
zeyu.fz ab766d44d3 test(commands): 添加知识文档列表的端到端测试步骤
- 在topic-routes测试文件中新增“knowledge doc list”步骤
- 该步骤用于验证导入的知识库文件是否可见
- 增强了知识库文件相关功能的测试覆盖率
2026-08-10 16:25:01 +08:00
zeyu.fz 1d9852805f fix(knowledge): 修正文档上传接口请求的字段名为 docIds
- 将请求体中的 dataSource.fileIds 改为扁平结构的 docIds 字段
- 移除嵌套的 dataSource 对象,显式指定 sourceType 字段
- 更新相关单元测试以匹配新的请求参数格式和字段名称
- 在知识库删除测试中增加了导入结果和最终状态的断言,确保导入流程完整
- 新增校验导入文件在知识库文档列表中正确显示
- 调整测试中对请求体结构的断言逻辑以适配改动
2026-08-10 16:24:00 +08:00
zeyu.fz 99a3dbae2d Merge remote-tracking branch 'origin/main' into feat/iteration1-w1-foundation 2026-08-10 15:26:18 +08:00
sonicg83 4d84af614b Merge branch 'modelstudioai:main' into codex/usage-token-plan-reset-times 2026-08-07 23:29:01 +08:00
gujieye 2389681ad6 Merge pull request #144 from modelstudioai/feat/add-version-tag
feat: add version 1.14.2
2026-08-07 18:02:08 +08:00
clh02467605 9ae5dc924d docs(cli): update skill installation command from add --name all to init
- Replace `bl skill add --name all` with `bl skill init` across documentation
- Update installation instructions in README, INSTALL, and agent skill guides
- Modify code references in update checker and UI components
- Adjust documentation links and cross-references accordingly
- Revise command examples in protocol and asset files
- Update versioning and setup instructions to reflect new command
- Modify HTML UI rendering for skill installation guidance
- Change internal command constants and execution calls
2026-08-07 17:56:30 +08:00
故璃 946b7029c6 feat: add version 1.14.2 2026-08-07 17:42:31 +08:00
clh02467605 d6cb075629 Merge remote-tracking branch 'refs/remotes/origin/main' into feat/change-skills-install
# Conflicts:
#	README.md
#	README.zh.md
#	packages/cli/README.md
#	packages/cli/README.zh.md
2026-08-07 17:37:43 +08:00
gujieye b9ecd5c43b Merge pull request #143 from modelstudioai/feat/skill-init-commend
feat: add skill init & opt commend flags
2026-08-07 17:26:21 +08:00
Gong Shiqi 978f332fea Merge pull request #142 from modelstudioai/docs/update-readme-and-agent-guides
docs: refresh READMEs and auth maintenance guidance
2026-08-07 17:24:52 +08:00
故璃 4502424200 feat: add skill init & opt commend flags 2026-08-07 17:17:27 +08:00
若麒 03839766bc docs: update READMEs 2026-08-07 17:15:26 +08:00
故璃 5007b9b574 feat: change output to json 2026-08-07 16:35:47 +08:00
若麒 1f8b9ace7e docs: refine auth maintenance guidance 2026-08-07 15:27:46 +08:00
故璃 8286a74fb6 test: remove sync pipeline verification marker 2026-08-07 14:40:33 +08:00
故璃 9eb2acbb65 test: trigger skills sync pipeline 2026-08-07 14:38:40 +08:00
故璃 1d35326c86 ci: read FC trigger url from variables 2026-08-07 14:36:42 +08:00
故璃 eb6c2b8e2a Merge branch 'feat/model-finetune-opt' into feat/cli-skill-sync 2026-08-07 14:26:38 +08:00
故璃 ebd6226a9f ci: rename trigger secret to FC_TRIGGER_URL 2026-08-07 14:25:49 +08:00
故璃 e25d3b0b8e ci: add workflow to publish skills to OSS 2026-08-07 14:13:47 +08:00
clh02467605 0e33c70e65 docs: update skill installation instructions to use bl skill add
- Replace all instances of `npx skills add modelstudioai/cli --all -g` with `bl skill add --name all`
- Update installation documentation in INSTALL.md, README.md, and related files
- Modify code references in config/inventory.ts, generate-reference.ts, and other files
- Update HTML UI messages to reflect new installation command
- Correct setup.md to include binary installation option and update subset install instructions
- Adjust versioning documentation to use new skill installation command
- Update all SKILL.md files with consistent installation instructions
2026-08-07 14:09:23 +08:00
故璃 3c64461cca feat: video finetune/deploy/invoke full pipeline + training cost calculation
- Add finetune video create subcommand (wan2.7/2.5/2.2 i2v + kf2v)
- Align video hyperparams with official docs (n_epochs=50, per-model batch_size/max_pixels)
- Add --last-frame flag to video generate for kf2v (image2video endpoint)
- Fix wan2.1-2.6 i2v input format (img_url instead of media[])
- Add training_cost field to finetune get/watch (catalog ft price, API-key domain only)
- Add --aigc-* flags to deploy create (optional, for video LoRA prompt config)
2026-08-07 07:03:01 +08:00
sonicg 24092b423c fix(usage): handle unavailable token plan quotas 2026-08-06 22:47:26 +08:00
故璃 f30fff9065 feat(finetune): clarify model flags; add price estimate & actual cost
- Rename for clarity: finetune --model → --base-model (create/price/
  capability/list); deploy create --model → --model-name, --name →
  --display-name
- Add `finetune price` (console domain) for pre-training cost estimate
  (sft/dpo/cpt)
- Add actual training cost (fee.ts) enriched into finetune get/watch
  from catalog price × reported usage
2026-08-06 15:08:02 +08:00
故璃 a7245c0f62 feat(deploy): add pause/resume commands; JSON-only output for dataset/finetune/deploy
- Add `bl deploy pause` and `bl deploy resume` (console domain, first
  console-auth commands in deploy group) via modelInstance start/stop APIs
- Add core deploy/lifecycle.ts with input-wrapped console gateway calls
- Switch all dataset/finetune/deploy commands to JSON-only output, removing
  text formatting logic
- Expose usage/charge_type in finetune get, model_name/expire_time in
  finetune checkpoints with near-expiry warning
- Update deploy delete hint to suggest `bl deploy pause`
2026-08-06 11:34:48 +08:00
sonicg 752a79e442 fix(usage): handle missing token plan reset times 2026-08-06 09:12:41 +08:00
sonicg 80bdcb83f6 feat(usage): add token plan usage view 2026-08-05 23:28:39 +08:00
zeyu.fz d9e8601a50 feat(knowledge): 支持上传目录路径并递归扫描文件
- 支持上传参数中传入目录路径,递归扫描子目录下文件
- 自动忽略 node_modules、.git 等常见工具目录
- 不支持的文件格式不会报错,跳过并列表提示
- 上传时校验扩展名和大小限制,支持批量文件上传
- 输出中增加跳过的文件列表,verbose 模式下显示详细文件名
- 测试覆盖目录上传、文件跳过和空目录等场景
- 更新相关文档,说明新支持的目录上传功能及注意事项
2026-08-05 22:29:39 +08:00
zeyu.fz e3bb5a7fa0 test(commands): 添加知识库统计接口的E2E测试
- 在topic-routes中新增knowledge stats路由映射
- 在j2-content-ops测试中添加知识库统计命令调用
- 验证接口返回的存储限制和请求速率监控数据结构有效
- 记录存储限制和请求窗口数量作为测试备注
- 引入parseStdoutJson辅助函数解析JSON输出
2026-08-05 20:13:42 +08:00
zeyu.fz 54da9aa29a chore(deps): 更新pnpm锁文件及包覆盖版本
- 调整smol-toml包版本位置
- 新增overrides字段,指向自定义vite和vitest包最新版本
- 保持其他依赖版本不变
- 确保包管理器锁文件一致性
2026-08-05 20:02:35 +08:00
zeyu.fz ef463e8d5d test(e2e): 优化检索结果标记召回判断并完善服务调优用例
- 新增节点召回标记判断函数 nodesRecallMarker,避免误判 marker 出现位置
- 将所有相关轮询断言替换为基于 nodesRecallMarker 的更严格判断
- 调整删除测试中对误伤判断的断言逻辑,确保准确检测召回标记
- 扩展服务调优用例,增加描述和温度参数调优测试,验证配置持久化
- 添加通过配置文件更新 kb_search_configs 并校验嵌套配置修改生效
- 部署后验证发布版本配置正确包含所有调优项
- 更新流程注释与断言提示,提升测试用例可读性和覆盖度
2026-08-05 19:56:52 +08:00
Gong Shiqi 6338df36be Merge pull request #138 from modelstudioai/feat/update-defmodel
Update default image model to qwen-image-3.0
2026-08-05 19:43:48 +08:00
若麒 cb6740965f chore(release): prepare 1.14.1 2026-08-05 19:35:05 +08:00
zeyu.fz 8ee2c378f5 test(knowledge): 添加多模态与表格型仓库 E2E 测试套件支持
- 新增多模态问答及检索服务的 live E2E 测试用例,支持基于图像参数的功能验证
- 补充表格库的 chunk add/list/delete 闭环测试,验证了 field channel 的必填项和读写一致性
- 增加图片库 chunk list 的 metadata 验证,确保 image_url 数组和可见性标志存在
- 实现带覆盖重导功能的 doc import-oss 测试,确认覆盖后 fileId 变更及旧文件失效
- 编写自有 OSS Bucket 的幂等复用集合创建和获取测试,确保服务端的 tag-based 访问控制支持
- 在 gating 中添加对各类长驻知识库及服务环境变量的就绪检测函数
2026-08-05 18:14:23 +08:00
zeyu.fz 9fc6434a26 Merge remote-tracking branch 'origin/main' into feat/iteration1-w1-foundation 2026-08-05 17:46:12 +08:00
Gong Shiqi 2dffee5b7a Merge pull request #139 from modelstudioai/feat/source-config-tags
feat: add CLI source config tags
2026-08-05 17:44:40 +08:00
若麒 01ec13aad8 feat: add CLI source config tags 2026-08-05 17:37:14 +08:00
clh02467605 b68ff45fb9 Merge remote-tracking branch 'refs/remotes/origin/main' into feat/update-defmodel 2026-08-05 17:08:44 +08:00
clh02467605 4990b27436 feat: update image default model 2026-08-05 16:58:29 +08:00
gujieye 262681484b Merge pull request #137 from modelstudioai/feat/deploy-update
feat: align agent registry with upstream and harden cross-platform install
2026-08-05 16:21:10 +08:00
故璃 8488b251f7 Merge branch 'main' into feat/deploy-update 2026-08-05 16:11:38 +08:00
zeyu.fz 43abf0aca5 feat(knowledge): 新增知识库管理及用户旅程端到端测试支持
- 增加test:journey脚本,覆盖知识库跨命令全链路用户旅程测试
- 在文档中新增Journey E2E章节,详细说明用户旅程测试定位及断言机制
- 完善commands模块,新增知识库相关命令包括知识库列表、信息、创建、更新、删除
- 新增知识库文档相关命令,如文档列表、状态、上传、删除、打标签及OSS导入
- 添加知识服务管理命令,支持列表、创建、更新、部署、删除及复制
- 支持知识块增删查改命令,完善知识点的灵活操作能力
- 实现数据中心分类管理命令,支持分类增删查操作
- 优化knowledge chat命令,增加workspace-id统一解析及agent-version版本控制
- 重构与知识库相关命令的导出与注册,完善CLI整体能力覆盖
- 新增命令详尽的帮助文档,包含参数说明、使用示例及错误边界
- 实现批量删除知识块的自动分批处理逻辑,易于操作大规模数据
- 添加必要的输入校验与安全提示,确保操作安全且符合规范
2026-08-05 12:02:32 +08:00
Gong Shiqi b1908fa879 Merge pull request #134 from modelstudioai/chore/opti-skill
refactor(skills): split domain skills and introduce bailian-protocol companion
2026-08-05 11:16:08 +08:00
clh02467605 d64ba09bef merge: merged main to current branch 2026-08-05 10:59:26 +08:00
clh02467605 8cdd54cf7a docs(skills): remove companions claim; make --all -g the supported install path 2026-08-05 10:27:39 +08:00
故璃 121fa1317f feat(skills): align agent registry with upstream and harden cross-platform install 2026-08-05 10:17:06 +08:00
Gong Shiqi 564e21d9f1 Merge pull request #130 from modelstudioai/feat/multi-channel-install
Feat/multi channel install
2026-08-04 20:30:54 +08:00
若麒 081d09863b Merge branch 'main' into feat/multi-channel-install 2026-08-04 20:22:26 +08:00
clh02467605 17b13de162 merge: merged main to current branch 2026-08-04 18:43:50 +08:00
clh02467605 ca98d8a25d refactor(skills): introduce bailian-protocol companion and slim bailian-cli routing 2026-08-04 18:16:30 +08:00
若麒 1e1f5306b3 chore(release): prepare 1.14.0 2026-08-04 18:11:47 +08:00
clh02467605 13158856e8 feat: Refactor skills by granularity and optimize constraints 2026-08-04 15:31:07 +08:00
gujieye cf2592c07d Merge pull request #133 from modelstudioai/feat/bailian-wiki-doc-sync
feat: add skill commend & wiki sync
2026-08-03 20:07:35 +08:00
故璃 3766b6d7ca Merge branch 'main' into feat/bailian-wiki-doc-sync 2026-08-03 19:33:16 +08:00
故璃 1962758b0c feat: add request id 2026-08-03 19:32:27 +08:00
若麒 026e250cd3 Merge branch 'main' into feat/multi-channel-install 2026-08-03 17:16:56 +08:00
Gong Shiqi 6d61afc1d5 Merge pull request #132 from modelstudioai/feat/update-defmodel
feat: switch default text model to qwen3.8-max
2026-08-03 16:25:17 +08:00
若麒 7a870ec417 chore(release): prepare 1.13.1 2026-08-03 16:19:00 +08:00
clh02467605 1c38c381e5 feat: switch default text model to qwen3.8-max
Align text chat, pipeline, config UI, login validation, and Token Plan
text presets, and update README, skill reference, and related tests.
2026-08-03 15:34:18 +08:00
rendianmeng 658763af2c fix: ci test 2026-08-03 15:29:55 +08:00
rendianmeng da2ddb7a55 fix: ci test 2026-08-03 14:42:31 +08:00
rendianmeng be3033baf9 feat: win bl update exe file test 2026-07-31 19:40:53 +08:00
rendianmeng 8ad3e7b947 feat: win bl update exe file test 2026-07-31 19:05:53 +08:00
rendianmeng 525412f566 feat: win bl update exe file test 2026-07-31 18:53:37 +08:00
rendianmeng 75b056ba64 feat: win bl update exe file test 2026-07-31 18:16:53 +08:00
rendianmeng f5a36b1787 feat: win bl update exe file test 2026-07-31 17:57:28 +08:00
rendianmeng 9fb388b75d Merge branch 'main' of github.com:modelstudioai/cli into feat/multi-channel-install 2026-07-31 17:47:10 +08:00
rendianmeng 45d468838f feat: win bl update exe file test 2026-07-31 17:44:59 +08:00
ls ed81178ad7 Merge pull request #118 from modelstudioai/feat/config-ui-enhancements
Feat/config UI enhancements (本地配置管理面板能力增强)
2026-07-31 00:30:32 +08:00
lisheng.lisheng 7e23ba00fb chore(release): 发布 v1.13.0 版本
- 增加 `bl config ui` 功能,支持技能、MCP、代理和资产清单浏览与管理
- 新增模型目录建议芯片,方便配置 UI 中快速填充模型名
- 实现配置文件的 Profile 磁贴网格展示及新增弹窗
- 优化配置 UI 布局,增强响应式布局和编辑体验
- 修复软链接技能目录识别问题
- 支持基于环境变量的配置文件路径及旧版配置方案
- 同步更新相关包版本至 1.13.0
2026-07-31 00:21:51 +08:00
clh02467605 72955d66a7 refactor(skill): update bailian-cli metadata sync to handle multiple skills
Enhanced the sync script to update the `metadata.version` for all skills in the `skills` directory, rather than just `bailian-cli`. Improved error handling for missing frontmatter and ensured proper versioning across all skill files.
2026-07-30 15:50:29 +08:00
rendianmeng 389c932390 test(runtime): expect npm --version probe in command pack install
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-30 11:38:40 +08:00
rendianmeng 6870dc50a6 style: fix AGENTS.md table formatting for vp check
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-30 10:32:39 +08:00
rendianmeng 54b95ed122 Merge branch main of github.com:modelstudioai/cli into feat/multi-channel-install 2026-07-30 10:20:53 +08:00
rendianmeng 5e2833569a Merge branch main of github.com:modelstudioai/cli into feat/multi-channel-install 2026-07-30 10:12:42 +08:00
rendianmeng 434aac5b08 docs: install shell md 2026-07-30 10:05:31 +08:00
故璃 e46053b93e fix(tooling): stop interpolating filenames into staged check
Passing staged filenames per-file puts repository paths into the argv of
the vp check node process. When an endpoint security agent matches process
argv by substring, the whole process is SIGKILLed and pre-commit can never
finish. Use the function form so the command runs without filenames: one
whole-repo check, wider coverage than per-file, and independent of any path.
2026-07-29 17:54:54 +08:00
故璃 30fe8182f4 Merge branch 'main' into feat/bailian-wiki-doc-sync
# Conflicts:
#	packages/cli/src/commands.ts
#	packages/commands/tests/e2e/topic-routes.ts
#	pnpm-lock.yaml
#	pnpm-workspace.yaml
#	skills/bailian-cli/reference/index.md
2026-07-29 17:34:28 +08:00
故璃 65c0fe9604 feat: add skill commend & skill install 2026-07-29 17:04:17 +08:00
lisheng.lisheng 2c53b0692b refactor(inventory): 优化技能与代理配置代码格式和检测逻辑
- 统一代码格式,增加多处代码块的换行和缩进保持一致
- 调整技能安装目标列表的格式,提升可读性
- 修复解压缩逻辑中异常抛出格式,增强异常信息规范
- 优化归一化文件名过滤条件表达式格式
- 修改配置文件检测逻辑,兼容环境变量和旧版配置方案
- 增强对 Bailian 相关模型提供者的检测逻辑支持
- 规范代理详情字段生成方法的代码风格
- 调整 MCP 写回相关函数的格式,提升可维护性
- 改进技能和代理详情函数参数格式,统一参数拆分显示
- 修复单元测试中路径和 JSON 写入格式,增加不同配置场景测试覆盖
- 确保软链接技能目录被正确识别为安装来源
- 增加多代理配置文件和技能安装的检测测试用例,提升测试精准度
2026-07-28 20:51:07 +08:00
lisheng.lisheng adc89f635d Merge branch 'main' of github.com:modelstudioai/cli into feat/config-ui-enhancements
# Conflicts:
#	packages/commands/tests/config-ui.test.ts
2026-07-28 20:43:42 +08:00
ls afa43a42b9 Merge pull request #128 from modelstudioai/feat/config-agent-fix
feat(config-agent): align agent writers, add --key/--region, prepare 1.12.0
2026-07-28 20:39:56 +08:00
lisheng.lisheng bbf45a5961 Merge branch 'main' of github.com:modelstudioai/cli into feat/config-agent-fix
# Conflicts:
#	CHANGELOG.md
#	CHANGELOG.zh.md
#	packages/cli/package.json
#	packages/commands/package.json
#	packages/core/package.json
#	packages/kscli/package.json
#	packages/runtime/package.json
#	skills/bailian-cli/SKILL.md
2026-07-28 20:33:16 +08:00
lisheng.lisheng 3988e701e1 chore(cli): 发布 1.11.0 版本,更新 agent 配置功能
- 新增 `bl config agent --key` / `--region`,支持控制台编码 API Key 本地解码和区域派生 Token Plan 地址
- 新增 `bl config agent --context-window`,设置 OpenClaw 配置的上下文窗口大小,默认 256000
- 新增 `bl config agent --wire-api`,支持选择 Codex 配置的通信协议,兼容旧版 chat 协议并提示警告
- 变更 Codex 默认写入通信协议为 `responses`,适配新版 Codex 不再支持旧 chat 模式
- 变更 Qwen Code 代理配置改用 `DASHSCOPE_API_KEY` 环境变量替代 `BAILIAN_CLI_API_KEY`
- 修复各 agent 配置格式不匹配问题,支持 JSONC 格式和官方结构,完善模型白名单与计费元数据
- 修复配置写入逻辑,合并保持用户自定义配置,避免覆盖及重复条目,优化显示名保留
- 更新所有相关包版本号至 1.11.0,包含 bailian-cli、commands、core、kscli、runtime
- 更新 bailian-cli 技能元数据版本号至 1.11.0
2026-07-28 20:27:28 +08:00
lisheng.lisheng 96744e3328 feat(config-agent): add --key and --region, default codex wire_api to responses
- --key: decode the web console's obfuscated API key (o1_ prefix) into
  the real key; mutually exclusive with --api-key, exactly one required
- --region: convert a Model Studio region into the Token Plan base URL
  (token-plan.<region>.maas.aliyuncs.com/compatible-mode/v1); mutually
  exclusive with --base-url, exactly one required
- codex: default wire_api to "responses" (current Codex rejects "chat");
  --wire-api chat kept for legacy Codex <= 0.80.0 with a warning
- regenerate skills reference for the new flags
2026-07-28 19:37:13 +08:00
Gong Shiqi 3b7993e854 Merge pull request #126 from modelstudioai/fix/web-search-and-thinking
fix(mcp,text): MCP activation hints and fix error caused by enable_thinking
2026-07-28 19:32:26 +08:00
若麒 be6ddb6126 chore(release): prepare 1.11.2 2026-07-28 19:24:40 +08:00
clh02467605 25ac5c9c84 fix: revert change about defaultTextModel 2026-07-28 18:05:18 +08:00
clh02467605 8ef91fe395 test(core): align token-plan preset expectation with qwen3.7-plus 2026-07-28 17:29:41 +08:00
clh02467605 5d9e22de8f Merge remote-tracking branch 'refs/remotes/origin/main' into fix/web-search-and-thinking 2026-07-28 17:20:46 +08:00
clh02467605 20e3555b84 fix(text,auth): drop enable_thinking retry and omit the field by default
Pass through model constraint errors instead of auto-retrying, switch token-plan default text model to qwen3.7-plus, and align related e2e expectations.
2026-07-28 17:19:05 +08:00
Gong Shiqi 81fa5b567c Merge pull request #123 from modelstudioai/fix/default-model
Fix/default model
2026-07-28 16:19:04 +08:00
若麒 df987ad536 docs(changelog): document image edit function option 2026-07-28 16:13:40 +08:00
若麒 4c4e7afb83 chore(release): prepare 1.11.1 2026-07-28 16:07:29 +08:00
若麒 17c52fb86f Merge branch 'main' into fix/default-model 2026-07-28 15:46:46 +08:00
rendianmeng fb0c4b81be docs: install shell md 2026-07-28 14:08:32 +08:00
Gong Shiqi 634d7045c6 Merge pull request #127 from modelstudioai/release/1.11.0
chore(release): prepare 1.11.0
2026-07-28 14:02:28 +08:00
rendianmeng 952f2277a4 docs: install shell md 2026-07-28 13:51:22 +08:00
rendianmeng 871c667e97 docs: install shell md 2026-07-28 13:49:51 +08:00
若麒 eadd92327f chore(release): prepare 1.11.0 2026-07-28 13:28:11 +08:00
clh02467605 4c494207d6 docs(skill): prefer bailian-cli for image/video/audio generation routing
Lead the skill description with a dedicated media-generation entry and
stronger class-3 priority so agents pick bl for gen/edit tasks, while
keeping host-first routing for ordinary text/search.
2026-07-28 10:25:54 +08:00
rendianmeng af3286dd00 Merge branch 'feat/multi-channel-install' of github.com:modelstudioai/cli into feat/multi-channel-install 2026-07-28 10:20:25 +08:00
rendianmeng 6465c4a78a feat: install shell test 2026-07-28 10:19:54 +08:00
故璃 467756b319 feat: update manifest.json 2026-07-28 10:17:16 +08:00
lisheng.lisheng 5a58f56b06 refactor(agent): 修改环境变量名并优化代码格式
- 将环境变量名从 BAILIAN_CLI_API_KEY 改为 DASHSCOPE_API_KEY
- 调整导入语句格式,提升代码可读性
- 优化 providers 条目查找的换行和缩进
- 标准化名称判断与赋值逻辑的格式与排列
2026-07-28 09:59:41 +08:00
clh02467605 7ad14a79b9 Merge branch 'main' of github.com:modelstudioai/cli into fix/web-search-and-thinking 2026-07-28 09:25:34 +08:00
clh02467605 8211268bd8 fix(text,mcp): keep thinking_budget on enable_thinking retry and hint MCP activation on 404 2026-07-28 09:25:02 +08:00
Gong Shiqi 7319f6d1ce Merge pull request #116 from modelstudioai/feat/cma
添加agent studio的cli能力
2026-07-27 22:46:50 +08:00
chenanran555 2dce9fe093 feat(agent): session and destroy failed error 2026-07-27 21:52:52 +08:00
chenanran555 9819eb6ddc feat(agent): 非bailian provider也走鉴权逻辑 2026-07-27 21:33:36 +08:00
qcq01083097 58252911a8 fix(image): correct wan2.5/2.6 size presets and wanx-v1 dated aliases 2026-07-27 21:09:32 +08:00
chenanran555 a03ee0c72c fix(agent): timeout error 2026-07-27 20:23:21 +08:00
chenanran555 05860b3bdd fix(agent): session output json with session_id 2026-07-27 20:10:47 +08:00
chenanran555 63ee5aaec3 fix(agent): plan command dry-run 2026-07-27 20:03:09 +08:00
chenanran555 93c9149e45 feat(agent): 鉴权分离线命令和在线命令,仅对bailian provider鉴权 2026-07-27 19:51:56 +08:00
chenanran555 6f9e006fef feat(agent): add skills for skill-list command 2026-07-27 18:17:39 +08:00
chenanran555 e22058b0f7 feat: update openagentpack sdk 2026-07-27 18:14:06 +08:00
lisheng.lisheng 0221e35803 fix(config-agent): 优化 Codex 配置写入与兼容性处理
- 调整 Codex 代理默认 wire_api 为 "responses",兼容新版 Codex
- 增加对 legacy Codex <= 0.80.0 使用 wire_api "chat" 的警告提示
- 修正 agent flags 描述,更准确说明 wire_api 默认与兼容范围
- 优化代码格式,统一 import 语句风格
- 增加测试用例覆盖不同 wire_api 配置及环境变量警告
- 修复写入过程中文件备份及合并逻辑,保留用户已有配置
- 修复多个 provider 写入时键名与内容匹配,避免重复添加
- 改善测试代码格式,提高可读性与一致性
2026-07-27 17:10:26 +08:00
故璃 7250de9228 feat: add changelog sync to oss 2026-07-27 16:56:46 +08:00
clh02467605 36ebd63716 fix(text): omit enable_thinking by default and retry when API requires false
Non-streaming chat no longer forces enable_thinking=false, which breaks
thinking-only models. Retry once with false only when the server demands it.
2026-07-27 16:51:11 +08:00
clh02467605 dac254af86 feat: add MCP WebSearch page URL and enhance error handling in web search command 2026-07-27 16:51:09 +08:00
chenanran555 8a0fb870f1 feat(agent): update openagentpack sdk version 2026-07-27 16:34:58 +08:00
故璃 51ed69596e feat: skill update REASON opt 2026-07-27 16:25:49 +08:00
故璃 67b7fa30a7 feat: opt bl skill update commend, keep it atom 2026-07-27 16:02:27 +08:00
故璃 bd17c27023 feat: index.json protocol adapter 2026-07-27 15:41:04 +08:00
故璃 87c37994f2 feat: update skill commend group 2026-07-27 12:30:20 +08:00
qcq01083097 ff469ce717 feat(install-docs): enhance installation documentation and validation processes 2026-07-27 11:24:22 +08:00
chenanran555 5f0966ec8d fix(agent): ci issues 2026-07-27 10:51:09 +08:00
qcq01083097 c4f5bb09c6 fix(image): resolve size and prompt_extend by model profile
Stop inferring size/prompt_extend from sync vs async; use per-family sizeProfile. wanx*-imageedit uses function+base_image_url; bare qwen-image uses the fixed resolution table.
2026-07-27 10:17:09 +08:00
qcq01083097 9a13700390 fix(image): route text-to-image and image-edit by model family
Fix wanx/wan2.x-t2i, wan2.5-i2i, z-image, and qwen-image-plus hitting the wrong endpoint, and add routing unit tests plus dry-run coverage.
2026-07-27 10:16:25 +08:00
chenanran555 32c497db63 feat(agent): add skill-list command and fix pr issues 2026-07-26 18:52:27 +08:00
故璃 ebbd173b79 feat: update manifest.json path 2026-07-25 08:43:38 +08:00
故璃 6bdc16597b feat: add secret 2026-07-25 08:07:29 +08:00
故璃 e736bab9c1 feat: add installer sync 2026-07-25 00:33:11 +08:00
故璃 8dd786287f feat: add skill commend 2026-07-24 19:56:53 +08:00
chenanran555 247bb82154 test(agent): cover config-write, profile, logout and error-mapping auth-chain scenarios 2026-07-24 18:44:18 +08:00
chenanran555 1e6165d7ff fix(agent): guarantee single valid JSON on stdout for --output json 2026-07-24 16:25:09 +08:00
chenanran555 1bf4fec9e6 feat(agent): support --dry-run for all local and remote mutations 2026-07-24 16:02:15 +08:00
rendianmeng d30fb2ae68 feat(release): distribute binaries as per-platform zips 2026-07-24 15:33:15 +08:00
chenanran555 1d589c5178 Merge remote-tracking branch 'origin/main' into feat/cma 2026-07-24 14:52:21 +08:00
chenanran555 9cad1994e7 feat(agent): validate by client apiKey auth type 2026-07-24 14:50:30 +08:00
Gong Shiqi fac2b2d18b Merge pull request #121 from modelstudioai/fix/install-doc-non-interactive
docs: fix installation guide flags
2026-07-24 11:19:40 +08:00
若麒 3e249279bc docs: fix installation guide flags 2026-07-24 11:08:06 +08:00
rendianmeng a1a448c5d2 fix(release): fix binary CI publish and clarify release modules
Stabilize Bun compile on 1.2.19, align manifests with OSS consumers,
and split gh / webhook / mode helpers out of binary-release.
2026-07-24 10:35:46 +08:00
rendianmeng 7b949d3d3c fix(release): fix binary CI publish and clarify release modules
Stabilize Bun compile on 1.2.19, align manifests with OSS consumers,
and split gh / webhook / mode helpers out of binary-release.
2026-07-24 10:34:39 +08:00
Gong Shiqi f9012a6330 Merge pull request #119 from modelstudioai/fix/base-url-origin-only
fix(core): normalize model base URL to origin
2026-07-23 19:35:24 +08:00
若麒 92ee845bdd fix(core): normalize model base URL to origin 2026-07-23 19:31:02 +08:00
lisheng.lisheng 4751145283 fix(config-agent): 修复 Qwen Code 凭证写入与模型名处理
- 凭证同时写入 env 和 security.auth,避免系统 OPENAI_API_KEY 干扰
- modelProviders 中按 id + baseUrl 作为键,保持 name 为模型显示名
- 修复旧的 bailian-cli 名称,防止其覆盖用户自定义显示名
- model 配置中新增 baseUrl 字段,用于消歧同 id 但不同地址的模型
- 调整测试用例验证上述行为,确保配置一致性和兼容性
2026-07-23 19:20:44 +08:00
rendianmeng 168e2b5ccb build: multi channel install test 2026-07-23 18:18:46 +08:00
rendianmeng 9fbd2e4ec6 build: multi channel install test 2026-07-23 18:12:42 +08:00
rendianmeng 4bd84e934c build: multi channel install test 2026-07-23 17:52:52 +08:00
rendianmeng 08bdc3be97 build: multi channel install test 2026-07-23 17:36:14 +08:00
rendianmeng 66a797203c multi channel install test 2026-07-23 17:34:30 +08:00
chenanran555 64335a6201 feat(agent): rename cli command to managed-agent 2026-07-23 16:46:06 +08:00
故璃 90a44d7140 feat: llm wiki sync 2026-07-23 15:31:57 +08:00
lisheng.lisheng 26a69a7c99 fix(config-agent): align agent writers with cc-switch and official Model Studio docs
- claude-code: honor CLAUDE_CONFIG_DIR; drop stale ANTHROPIC_API_KEY
- qwen-code: write $version:3; security.auth carries selectedType only
- opencode: tolerate JSONC (comments/trailing commas) via stripJsonc
- openclaw: add --context-window flag (default 256000), full cost fields,
  agents.defaults.models allowlist
- hermes: switch to official flat model.* block; api_mode only for
  anthropic endpoints
- codex: official env_key + auth.json fallback; add --wire-api flag
  (default chat, responses for supported models)
2026-07-23 11:12:34 +08:00
inhai e1caee99f2 feat(config-ui): MCP management, skill zip install, and UI polish
- MCP: editable JSON config in the detail drawer with secret masking and
  mask-preserving writes; create/update/delete across claude-code, qwen-code,
  opencode, cursor, windsurf, gemini, qoderwork, openclaw and Claude Desktop
- Skills: upload a .zip and install into any agent's skills root (self-contained
  ZIP reader, zip-slip safe); scan more roots (openclaw workspace, qoderwork,
  windsurf/codeium, gemini antigravity, workbuddy)
- Markdown: GFM table rendering in the skill detail drawer
- Layout: collapsible grouped sidebar with icons + persistent state, responsive
  breakpoint, wider main, single-line tile titles, 2-line description clamp,
  round icon run buttons, custom file picker, modal spacing
- Server: /api/mcp POST/DELETE, /api/skill/install, binary upload reader,
  constant-time token compare, CSP/no-store headers, error logging
2026-07-23 10:52:26 +08:00
chenanran555 1da3367de8 feat: fix ci 2026-07-22 17:44:50 +08:00
chenanran555 9e59b01326 feat: update openagentpack sdk 2026-07-22 17:01:14 +08:00
chenanran555 7cbd61dd5c Merge remote-tracking branch 'origin/main' into feat/cma
# Conflicts:
#	packages/commands/src/commands/auth/login.ts
#	packages/commands/src/commands/config/set.ts
#	packages/commands/src/index.ts
#	packages/core/src/client/index.ts
#	packages/core/src/config/schema.ts
#	skills/bailian-cli/reference/auth.md
#	skills/bailian-cli/reference/config.md
#	skills/bailian-cli/reference/index.md
2026-07-22 16:38:46 +08:00
chenanran555 1c9dac24e9 feat(cma): login时初始化agent相关的baseUrl 2026-07-22 14:20:24 +08:00
chenanran555 d6bd38a46a feat(agent): agent相关cli命令的client层功能,对齐cli client的基础能力 2026-07-22 13:40:28 +08:00
Gong Shiqi 678f60be75 Merge pull request #115 from modelstudioai/release/1.10.1
chore(release): prepare 1.10.1
2026-07-22 11:35:36 +08:00
若麒 d11b55b956 chore(release): prepare 1.10.1 2026-07-22 11:30:43 +08:00
Gong Shiqi e4e3f069e1 Merge pull request #112 from modelstudioai/chore/optimize-skill
docs: optimize bailian-cli skill routing and consent rules
2026-07-22 10:56:15 +08:00
Gong Shiqi 440cbfe6ae Merge pull request #114 from modelstudioai/feat/token-plan-default-models
feat: update Token Plan defaults and support local image inputs
2026-07-22 10:52:35 +08:00
若麒 1adfe797bd docs: simplify Bailian skill consent rules 2026-07-22 10:50:25 +08:00
Gong Shiqi d04012b0a4 Merge pull request #113 from modelstudioai/feat/node-engines-limit
Feat/node engines limit
2026-07-22 10:33:07 +08:00
若麒 81539005cc Merge branch 'main' into feat/token-plan-default-models 2026-07-22 09:55:39 +08:00
若麒 4c566fd60e feat(token-plan): support local images with base64 data URIs
- convert local images to Base64 for Token Plan image and video commands
- preserve the existing OSS upload flow for standard API Key profiles
- use wan2.7-image as the default image model with the sync endpoint
- hide full Base64 image content in dry-run output
- add Token Plan compatibility tests and update related docs
2026-07-22 09:54:54 +08:00
inhai 9ab5de8c2e feat(config-ui): enrich config UI with skills, MCP, agents, assets and model catalog
- Add Skills / MCP / Agents / Assets inventory views with click-to-open
  right-side detail drawers (reusable infoDrawer)
- Render SKILL.md as Markdown via a self-contained, XSS-safe inline renderer
  (HTML-escape first, strip YAML frontmatter, no external deps)
- Add local vs remote origin badges to Skills and MCP items
- Add quick-launch for coding agents (allowlisted id->binary, execFile, no
  shell); gate the button on Connected AND the CLI binary being on PATH
- Add per-category model catalog surfaced as click-to-fill suggestion chips
  under each default_*_model field, sourced from real bl pipeline model names
- Add assets browser (categorized, time-sorted) with preview, open-locally
  and delete, backed by path-traversal-guarded file serving
- Convert Profiles to a tile grid with an add-tile and design-consistent
  new-profile modal; make view headers sticky and use drawers for editing
- Tests for inventory, agent-launch, assets and config-ui endpoints
2026-07-21 21:54:27 +08:00
rendianmeng 853ce3caae docs: update README.zh.md 2026-07-21 14:10:49 +08:00
rendianmeng 3b779a708d feat: node engines limit change 2026-07-21 13:55:38 +08:00
chenanran555 6329427b4d feat(agent): add agent command group with session and state management 2026-07-21 10:43:22 +08:00
clh02467605 b4a2a1c42d docs: optimize bailian-cli skill 2026-07-20 18:26:08 +08:00
若麒 4ca3e2de80 feat(config): update token-plan default models
- switch the default text model to qwen3.8-max-preview
- add dedicated T2V, I2V, and R2V model defaults
- persist and consume per-mode video model settings
- enable thinking when validating the qwen3.8 preview model
2026-07-20 16:44:53 +08:00
Gong Shiqi 1f91fa42fa Merge pull request #109 from modelstudioai/feat/cli-access-token
chore(release): prepare 1.10.0
2026-07-19 16:55:33 +08:00
若麒 39f12e1a78 chore(release): prepare 1.10.0 2026-07-19 16:47:29 +08:00
若麒 a853319dd0 feat(onboarding): add Token Plan setup guidance
- add Token Plan subscription and login entry to CLI, README, INSTALL, and skill
- document built-in Base URL and automatic key validation
- remove the completed Token Plan integration design document
2026-07-19 16:05:35 +08:00
若麒 bc162f4678 Merge branch 'main' into feat/cli-access-token 2026-07-19 15:32:20 +08:00
Gong Shiqi 12ecac4d96 Merge pull request #107 from modelstudioai/feat/config-agent
feat: add `bl config agent` command for one-click coding agent configuration
2026-07-19 11:48:36 +08:00
Gong Shiqi 52f6e267e6 Merge pull request #108 from modelstudioai/fix/bailian-cli-skill
fix(skill): refine Bailian provider routing and consent
2026-07-19 11:09:43 +08:00
若麒 c9e5913034 Merge branch 'main' into fix/bailian-cli-skill 2026-07-19 11:03:25 +08:00
lisheng.lisheng ba062c1a71 feat: add bl config agent command for one-click coding agent configuration
Add `bl config agent` to configure a coding agent (Claude Code, Qwen Code,
OpenCode, OpenClaw, Hermes, Codex) to use a DashScope/ModelStudio endpoint
with a single command. Writers non-destructively merge into each agent's
local config with a timestamped backup and atomic writes.

- Field structures aligned to farion1231/cc-switch; qwen-code aligned to
  QwenLM/qwen-code source (modelProviders/security.auth keyed by protocol).
- provider id unified as `bailian-cli` (qwen-code brands via model entry
  name + BAILIAN_CLI_API_KEY, since it keys by protocol).
- Codex config.toml merged via smol-toml to preserve unrelated settings.
- Add writer unit tests + config e2e cases; regenerate skill reference.
2026-07-18 19:29:53 +08:00
故璃 d08edf0cd8 feat: sync wiki data from oss by fc 2026-07-17 16:43:06 +08:00
若麒 a03ba673be fix(auth): clear model base URL on full logout 2026-07-17 15:57:23 +08:00
Gong Shiqi 8196f67300 Merge pull request #95 from modelstudioai/feat/cli-access-token
feat: CLI access token 自动化 + bootstrap 一键开通 + 多命名配置 + config ui
2026-07-17 15:10:48 +08:00
若麒 4b504a1a52 docs(changelog): refine 1.9.0 release notes 2026-07-17 15:04:50 +08:00
lisheng.lisheng 00b4d095ed refactor(cli): rename bootstrap command to workspace init
- 将原有的 `bl bootstrap` 命令重命名为 `bl workspace init`
- 更新相关文档,包括中文和英文变更日志
- 修改命令导出和引用,调整文件与变量命名对应新命令
- 保持初始化 Bailian 工作空间及开通后付费服务功能不变
- 删除旧的 `bl bootstrap` 文档,新增 `bl workspace init` 命令帮助文档
- 更新 CLI 命令索引,替换旧命令为新命令
- 优化命令实现细节,增强代码规范和异常处理一致性
2026-07-17 10:59:46 +08:00
若麒 92719a1a21 Merge branch 'main' into feat/cli-access-token 2026-07-17 10:36:26 +08:00
若麒 310e6ead33 chore(release): prepare 1.9.0 2026-07-17 10:15:47 +08:00
若麒 ece0c8dd1c feat(config): activate explicit profile after successful login 2026-07-17 09:59:14 +08:00
Gong Shiqi 39f92567d3 Merge pull request #106 from modelstudioai/fix/windows-stdin
fix(text): support piped messages on Windows
2026-07-16 17:07:56 +08:00
若麒 8b91b9f35f feat: release 1.8.3 2026-07-16 16:43:22 +08:00
若麒 1fbafa8b1d fix(text): support piped messages on Windows
- use the standard input file descriptor instead of /dev/stdin
- reuse the shared file-or-stdin reader in text chat
2026-07-16 16:42:32 +08:00
若麒 052960e269 fix(config): mask all secret fields in config show 2026-07-16 15:27:18 +08:00
若麒 a8f45e93af fix(config): preserve unmanaged fields when saving profiles 2026-07-16 14:48:29 +08:00
若麒 84805f287c fix(core): normalize model base URLs across all sources
- preserve custom gateway path prefixes
- strip query, fragment, trailing slash, and known SDK suffixes
- normalize flag, environment, config, and fallback sources
- normalize auth and config writes before persistence
- add resolver, login, config, and UI coverage
2026-07-16 14:43:26 +08:00
若麒 196b2a1f51 fix(e2e): avoid live OpenAPI login with placeholder credentials 2026-07-16 11:53:09 +08:00
若麒 de9f1a3889 feat(config): add active profile selection
- persist the active profile in config.json
- resolve config with --config > active_config > default
- add config list and config use commands
- make auth and config writes target the selected profile
- reset activation to default when deleting the active profile
- update config UI with profile activation controls
- keep token refresh and pipeline execution profile-aware
- add loader, UI, auth, and CLI interaction coverage
2026-07-16 11:05:59 +08:00
若麒 75a45e1a2a fix(auth): clear STS credentials on logout 2026-07-16 10:02:00 +08:00
若麒 64ff057fe5 feat(auth): support token-plan model profile login
- add the built-in Token Plan profile preset
- validate and persist model API keys atomically
- materialize the default Base URL and models on login
- preserve flag > env > config precedence
2026-07-15 16:26:43 +08:00
gujieye 88fcda62aa Merge pull request #105 from modelstudioai/feat/change-log
feat: release 1.8.2
2026-07-15 11:42:06 +08:00
故璃 68336d41a2 feat: release 1.8.2 2026-07-15 11:29:06 +08:00
gujieye e246cb96d4 Merge pull request #104 from modelstudioai/feat/change-log
feat: add change log
2026-07-15 11:16:11 +08:00
故璃 569057f4d0 feat: add change log 2026-07-15 11:04:30 +08:00
gujieye f7dbafc6d2 Merge pull request #102 from modelstudioai/feat/model-info-query
feat: model info query & skill.md update
2026-07-15 10:29:31 +08:00
故璃 f45d0e3a71 Merge branch 'main' into feat/model-info-query 2026-07-15 10:22:44 +08:00
若麒 6d588a57b4 Merge branch 'main' into feat/cli-access-token 2026-07-14 19:23:47 +08:00
故璃 52aab33a3b feat: update SKILL.md 2026-07-14 16:14:06 +08:00
Gong Shiqi cc23b4be37 Merge pull request #101 from modelstudioai/fix/fail-stable-publish-on-existing-version
fix(release): fail when stable version is already published
2026-07-14 16:12:44 +08:00
若麒 91cd68b46e fix(release): fail when stable version is already published 2026-07-14 16:05:45 +08:00
故璃 054d4deb26 feat: update SKILL.md 2026-07-14 15:22:24 +08:00
ls cbf871c8d6 Merge pull request #100 from modelstudioai/feat/add-inner-console
chore(version): 发布1.8.1版本并更新白名单
2026-07-14 10:18:01 +08:00
lisheng.lisheng 20b67a6628 chore(version): 发布1.8.1版本并更新白名单
- 将所有相关包的版本号从1.8.0更新到1.8.1
- 在中英文CHANGELOG中添加1.8.1版本的变更记录
- 扩展Command Pack白名单,允许加载额外的内部命令扩展
2026-07-14 10:14:19 +08:00
ls 0956695f28 Merge pull request #99 from modelstudioai/feat/add-inner-console
feat(cli): 添加 @ali/bailian-plugin-inner-console-call 插件的命令前缀配置
2026-07-14 09:23:08 +08:00
lisheng.lisheng 96fcb1892c feat(cli): 添加 @ali/bailian-plugin-inner-console-call 插件的命令前缀配置
- 为插件 @ali/bailian-plugin-inner-console-call 添加命令前缀 inner-console
- 扩展了命令包策略以支持新的插件命令调用
- 确保命令前缀统一管理,提高插件识别准确性
2026-07-14 09:22:19 +08:00
lisheng.lisheng 84383f1c83 feat(bootstrap): 支持使用AK/SK生成CLI访问令牌并重构用户创建流程
- 新增命令行参数,支持通过--access-key-id和--access-key-secret传入阿里云凭证
- 集成generateCLIAccessToken接口实现AK/SK转CLI访问令牌
- 调用BailianControl OpenAPI完成用户创建,实现与控制台用户同步
- 新增获取工作空间列表接口,解析agentId以便权限管理
- 调用ResetPolicies4Agent接口完成用户权限授权
- 优化命令步骤日志输出,更详细展示执行流程
- 将轮询次数由120次减少至20次,缩短等待激活时长
- 移除旧有测试代码,适配新实现
- core包新增bailian-control客户端支持对应OpenAPI调用
- client模块添加openApiJson通用方法支持ROA风格接口调用
- console模块导出类型扩展,涵盖新的网关目标类型
- 修改acs请求签名类型支持number类型参数,增强签名兼容性
2026-07-14 08:47:16 +08:00
若麒 fc8351f136 fix(skill): refine provider routing and consent
- scope bl preference to matched Bailian and multimodal tasks
- ask once before provider-neutral remote or billable calls
- avoid routing ordinary text, generic search, and ambiguous usage requests to bl
2026-07-13 19:38:04 +08:00
Gong Shiqi de78a281c6 Merge pull request #98 from modelstudioai/feat/model-usage-and-detail
feat: model usage / recommend / model list / finetune / deploy
2026-07-13 17:07:17 +08:00
若麒 86aec0b723 chore: prepare 1.8.0 release 2026-07-13 17:01:24 +08:00
若麒 06f932c1bd Merge branch 'main' into feat/model-usage-and-detail 2026-07-13 16:23:19 +08:00
Gong Shiqi 1c5d1a8fcd Merge pull request #97 from modelstudioai/feat/command-pack
feat: add command pack protocol and plugin management
2026-07-13 16:10:33 +08:00
若麒 6388fd11e2 docs: sync command context capability usage 2026-07-13 16:05:08 +08:00
故璃 eca5403e71 feat: sync README 2026-07-13 16:02:51 +08:00
故璃 153e176c13 feat: sync README 2026-07-13 16:00:42 +08:00
故璃 16893b3f00 Merge branch 'main' into feat/model-usage-and-detail 2026-07-13 15:56:54 +08:00
故璃 78977dbe4e feat: update changelog 2026-07-13 15:55:36 +08:00
Gong Shiqi 7dd5431a22 Merge pull request #96 from modelstudioai/chore/commit-hooks
chore: speed up pre-commit skill asset sync
2026-07-13 15:55:10 +08:00
若麒 63edde3588 refactor: simplify command context capabilities
- replace lazy store and manager accessors with direct properties
- enforce command capability boundaries through lint rules
2026-07-13 15:47:57 +08:00
若麒 e932495560 Merge branch 'main' into feat/command-pack 2026-07-13 15:38:45 +08:00
clh02467605 2ae76e2013 fix: keep reference formatting in generate:reference for release check
release/check.mjs calls generate:reference directly then git diff --exit-code
on skills/bailian-cli/reference/. Formatting must stay on that script; root
sync:skill-assets should not duplicate it.
2026-07-13 15:34:47 +08:00
故璃 f3b85914ab Merge branch 'main' into feat/model-usage-and-detail 2026-07-13 15:34:04 +08:00
故璃 8b99617716 feat: fix code review issue 2026-07-13 15:23:35 +08:00
若麒 b2ca78512f feat: add command pack protocol and plugin management
- define the Command Pack API and integrate pack loading into the CLI runtime
- add product-specific package, command prefix, and credential access policies
- add plugin install, link, list, and remove commands
- add validation, tests, documentation, and generated command references
2026-07-13 15:02:35 +08:00
clh02467605 7004e58866 fix: format skill reference during sync:skill-assets for CI
CI runs sync:skill-assets before vp check without pre-commit's vp staged,
so reference markdown must be formatted in the shared sync script.
2026-07-13 14:45:25 +08:00
clh02467605 97e47f7054 refactor: update sync:skill-assets script to read from source directly
- Modified the `sync:skill-assets` script in `package.json` to remove the dependency on building `bailian-cli-core` before generating references and syncing skill versions.
2026-07-13 14:38:35 +08:00
lisheng.lisheng e0f3d450ae feat(config): add "config ui" local web UI to manage config profiles
启动绑定 127.0.0.1 的本地 HTTP server + 内嵌单页 WebUI,可视化查看/
新建/切换/删除全部命名 profile 并编辑键值与凭证。

- core: readConfigProfiles / deleteConfigProfile 全量配置读写 API
- commands/config/shared.ts: 抽出 VALID_KEYS/别名/校验,set.ts 复用
- commands/shared/local-server.ts: 抽出 listen/openInBrowser,login-console 复用
- config ui: token + Host 校验,--config 决定初始聚焦,密钥明文可编辑
2026-07-13 14:20:32 +08:00
故璃 d37f4c07eb feat: update monitor data & quato list 2026-07-13 13:43:03 +08:00
lisheng.lisheng ac4dbb9e88 Merge branch 'main' of github.com:modelstudioai/cli into feat/cli-access-token 2026-07-13 13:13:29 +08:00
lisheng.lisheng 155c9dc883 feat(config): 支持命名配置功能并隔离默认配置数据
- 新增 `--config <name>` 参数支持读取与写入命名的配置块
- 命名配置与默认配置完全隔离,互不影响
- 规范命名配置名称格式,禁止路径穿越及顶层字段冲突
- 配置文件读取写入逻辑改为维护原始完整对象,支持多配置块共存
- AuthStore 和 ConfigStore 均支持命名配置,登录登出只影响指定配置块
- CLI 命令增加对 `--config` 标志的支持,包括 config set/show/auth status 等
- 鉴权状态输出带上配置名和配置文件路径信息
- 提示和报错信息包含配置相关上下文,增强用户体验
- 完善相关单元测试覆盖命名配置行为
2026-07-13 13:04:50 +08:00
gujieye 0e857775fe Merge pull request #94 from modelstudioai/feat/recommend-new
feat: remove intent-detect-v3 model
2026-07-12 22:12:50 +08:00
故璃 1a63fcdb5c feat: add model list / opt usage 2026-07-12 22:11:32 +08:00
顾捷晔 58ab622e11 feat: remove intent-detect-v3 model 2026-07-12 13:44:00 +08:00
lisheng.lisheng e1532bf35c feat(bootstrap): 新增创建控制台用户步骤,完善服务激活流程
- 在 bootstrap 命令流程中添加第 3 步,调用 createUser 接口创建控制台账号用户
- 修改 callApi 函数支持传入请求体参数
- 增强错误日志输出,显示更完整的错误响应内容
- 在服务启动时校验登录信息包含 aliyun.uid,否则抛出错误
- 优化商品检查与激活逻辑,更清晰的状态输出及错误处理
- 在 CLI-core 控制台网关请求中添加日志,打印结构化请求负载,支持 verbose 模式
- BailianError 新增 rawResponse 字段,保存原始错误响应数据
- 增加 bootstrap 命令单元测试,覆盖用户创建及不同初始化场景
- 调整测试框架用例,增加调用控制台网关及错误处理的测试覆盖
2026-07-10 17:57:06 +08:00
Gong Shiqi 6e095a6ce5 Merge pull request #93 from modelstudioai/feat/migrate-e2e
refactor(e2e): decouple E2E tests into commands layer and shared e2e package
2026-07-10 17:55:45 +08:00
clh02467605 94adb919b1 refactor(e2e): enhance auth login tests and remove unused dependencies
- Removed the `bailian-cli-commands` dependency from `pnpm-lock.yaml` and `package.json` as it was no longer needed.
- Expanded the E2E tests in `auth.e2e.test.ts` to cover additional scenarios for the `auth login` command, ensuring proper error handling for conflicting flags and missing parameters.
- Improved test assertions for better clarity and coverage of authentication flows.
2026-07-10 17:46:17 +08:00
clh02467605 a0b4666940 refactor(e2e): remove outdated token-plan tests and add new route exports
- Deleted the `token-plan.e2e.test.ts` file as it contained outdated test cases.
- Introduced `TOKEN_PLAN_ROUTES` in `topic-routes.ts` to define new command routes for token-plan operations.
- This update streamlines the E2E testing structure and prepares for future enhancements.
2026-07-10 17:11:20 +08:00
clh02467605 e8666b33ae merge: merge main to feat/migtate-e2e 2026-07-10 16:54:14 +08:00
clh02467605 d646a4e780 refactor(e2e): update test routes and streamline command handling
- Replaced hardcoded command paths with dynamic route mappings in E2E tests.
- Enhanced documentation for command testing, specifying minimum route requirements.
- Consolidated command path management into `topic-routes.ts` for better maintainability.
- Updated various E2E test cases to utilize the new routing structure, ensuring consistency across tests.
- Removed redundant helper functions and improved test clarity by directly referencing route exports.
2026-07-10 15:55:53 +08:00
clh02467605 91a7106bf4 fix(e2e): update CLI version to match package.json 2026-07-10 14:04:21 +08:00
gujieye 03405d5cc1 Merge pull request #91 from modelstudioai/feat/model-deploy-update
feat: add tts/i2i/t2i model deploy
2026-07-10 13:55:48 +08:00
故璃 1870500f97 feat: code review fixture 2026-07-10 13:50:11 +08:00
lisheng.lisheng 3fb0c7211c feat(auth): add support for optional security token in CLI access token generation 2026-07-10 13:04:05 +08:00
clh02467605 7b77bf6a6d fix(e2e): run subprocess harness and proxy probe via tsx
Node's strip-only TypeScript mode cannot execute workspace source that
uses parameter properties. Use the monorepo tsx binary for runNodeMain and
the proxy e2e probe (.mts for top-level await).
2026-07-10 13:01:10 +08:00
clh02467605 6e5ecf8923 chore: drop redundant helpers.d.ts fmt/gitignore guards
Runtime tsconfig already limits pack to src, so tests/**/*.d.ts is never
emitted during build; the fmt ignore and gitignore entries are unnecessary.
2026-07-10 12:32:30 +08:00
clh02467605 301986b669 fix(ci): stop emitting and checking generated tests helpers.d.ts
Runtime pack build was pulling in e2e test imports and tsgo emitted
helpers.d.ts beside commands/tests; restrict runtime tsconfig to src and
ignore tests/**/*.d.ts in fmt/gitignore as a safety net.
2026-07-10 12:26:41 +08:00
clh02467605 0d420b6e5a chore: fix lint error 2026-07-10 12:10:30 +08:00
clh02467605 9602209113 feat(e2e): integrate e2e package and update test configurations
- Added e2e package as a workspace dependency in pnpm-lock.yaml.
- Updated globalSetup path in vite.config.ts to point to the new e2e package location.
- Enhanced documentation for CLI E2E testing, including architecture layers and triggering conditions.
- Refactored test paths and commands in the documentation to align with the new structure.
- Removed outdated dataset and auth E2E tests to streamline the test suite.
- Updated command references and validation checks in the documentation to reflect recent changes.
2026-07-10 11:46:05 +08:00
故璃 19b7aacb2e Merge branch 'main' into feat/model-deploy-update 2026-07-10 10:15:25 +08:00
lisheng.lisheng 049eecd991 feat(bootstrap): add command to initialize Bailian workspace and activate postpaid services 2026-07-10 10:06:32 +08:00
lisheng.lisheng 2907ad2625 feat(auth): add command to generate CLI access token 2026-07-10 00:09:10 +08:00
lisheng.lisheng 0f23527bfc feat(core): move generateCLIAccessToken to core and auto-refresh on NotLogined
Move the GenerateCLIAccessToken API call logic into core/auth/refresh-token.ts
so it can be reused across packages. Add refreshAccessToken() which reads
AK/SK from config, calls the API, and persists the new access_token.

Client.console() now catches NotLogined errors and automatically retries
with a refreshed token when AK/SK are available in config.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-10 00:00:57 +08:00
lisheng.lisheng 8e3f8586b0 feat(auth): update access token retrieval in login command 2026-07-09 23:43:31 +08:00
lisheng.lisheng efb5243d0d feat(auth): call GenerateCLIAccessToken on open-api login
When logging in with --open-api, call the GenerateCLIAccessToken API
using the provided AK/SK to obtain an access token and persist it
alongside the credentials in config.json.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 23:40:47 +08:00
故璃 f66889c939 feat: update model deploy 2026-07-09 20:19:27 +08:00
Gong Shiqi 03f0e7c5c4 Merge pull request #90 from modelstudioai/feat/self-built-framework
feat: refactor command framework
2026-07-09 19:54:20 +08:00
若麒 0a301ee641 test(e2e): run proxy probe with tsx 2026-07-09 19:51:15 +08:00
若麒 66402d9868 chore(dev): run CLI workspace entries from source
- use tsx for bl/kscli dev and test runners
- point local library exports to src while keeping publishConfig on dist
- switch vendored telemetry modules to .cjs for source-run compatibility
- update stress/e2e helpers and agent docs for the new source execution path
2026-07-09 19:39:13 +08:00
若麒 4525d5df6c release: prepare 1.7.0 2026-07-09 17:47:41 +08:00
若麒 749549aa28 docs: align agent and skill docs with kscli split
- replace stale rag/package references with kscli/knowledge-studio-cli
- update release docs for core/runtime/commands/cli plus kscli publishing
- refresh skill setup notes and generated reference output defaults
2026-07-09 17:31:49 +08:00
若麒 7ce018cc53 fix(auth): stop printing quick start after login 2026-07-09 16:56:05 +08:00
若麒 13ade9181f fix(runtime): ignore unsupported lowercase proxy env vars 2026-07-09 16:55:03 +08:00
故璃 068ec0bfd3 Merge branch 'feat/self-built-framework' into feat/model-deploy-update 2026-07-09 15:37:21 +08:00
故璃 d8aa89dc6c feat: add image/audio finetune 2026-07-09 15:36:32 +08:00
若麒 bd4b0ad9a5 fix(runtime): tailor root help to product entrypoints
- render auth flag sections only for auth domains used by registered commands
- make quick-start prompts opt-in through createCli options
- keep the existing quick-start prompts wired only for bl
2026-07-09 15:28:08 +08:00
若麒 2debfdba6b feat(auth): add OpenAPI AK/SK auth domain for token plan
- add openapi auth requirement with command-scoped access key flags and paired credential resolution
- persist OpenAPI credentials through auth login/status/logout using access_key_* config fields
- route token-plan commands through the centralized ACS signing client
- keep legacy openapi_access_key_* config readable while rejecting it as a new config set key
- refresh docs, generated references, telemetry authMethod, and e2e coverage
2026-07-09 15:03:48 +08:00
故璃 8fd072bcd1 feat: merge self-built-framework 2026-07-09 10:02:56 +08:00
若麒 49095c3a8a refactor(commands): remove yes confirmation gates 2026-07-08 17:27:44 +08:00
若麒 c18844120a fix: preserve offline dry-run validation before auth 2026-07-08 15:19:31 +08:00
若麒 4dfe3ac907 Merge branch 'main' into feat/self-built-framework 2026-07-08 14:15:39 +08:00
若麒 b0c48bab6b Merge branch 'main' into feat/self-built-framework 2026-07-08 14:05:48 +08:00
若麒 d20e037dec fix(verbose): restore request-side log lines dropped in credential refactor 2026-07-07 23:16:28 +08:00
若麒 476dd3b841 refactor(output): centralize ANSI styling and remove no-color flag
- remove --no-color from GLOBAL_FLAGS and drop Settings.noColor
- move ANSI styling decisions into runtime color helpers with NO_COLOR support
- update command text renderers to use shared color helpers instead of local ANSI codes
- refresh e2e invocations, generated reference, and agent skill guidance
2026-07-07 00:07:21 +08:00
若麒 c35f2856e5 refactor(flags): align media command async and concurrent handling
- scope image/video task execution to --async and --concurrent
- add concurrent task fan-out for video edit and video ref
- extend image edit to the async image task path
- refresh e2e coverage and generated command references
2026-07-06 22:11:52 +08:00
若麒 b3b1a08baf docs(agents): align maintenance guides with split CLI architecture 2026-07-06 21:50:50 +08:00
若麒 468b4d710e refactor(flags): scope yes/async/concurrent to command-owned flags
- remove nonInteractive plus yes/async/concurrent from GLOBAL_FLAGS and Settings;
  command dispatch no longer resolves command-only switches into global settings
- add shared ASYNC_FLAG / CONCURRENT_FLAG definitions for commands that actually
  support task-only return or parallel requests
- keep quota downgrade protection by moving --yes onto quota request and reading
  flags.yes for confirmed downgrade submission
- update existing async/concurrent consumers to read own flags; no new capability
  matrix entries are added
- refresh generated command reference and remove stale --non-interactive usage
  from e2e/stress invocations
2026-07-06 20:43:29 +08:00
若麒 deab3b3841 refactor(flags): scope credential flags by command auth domain
- flags split into GLOBAL_FLAGS (all commands) plus MODEL_AUTH_FLAGS /
  CONSOLE_AUTH_FLAGS, parsed only for commands of the matching auth
  domain; cross-domain flags now fail with "Unknown flag" instead of
  being silently ignored
- all shadow redeclarations removed; the registry guard now rejects any
  own flag named after a reserved (global or visible-domain) flag
- --workspace-id joins the console domain (chain: flag > env > file);
  usage stats drops its private declaration and in-command priority
- auth login declares its credential args as own command parameters
  (--api-key / --base-url / --console-site, original behavior intact);
  auth status no longer accepts credential-domain overrides (use env or
  config set instead)
- command help and the generated reference both show Flags (own + auth
  domain) plus a full Global Flags section, replacing the footer hint
- breaking: pipeline run --timeout renamed to --step-timeout (collided
  with the global request timeout)
2026-07-06 17:42:11 +08:00
若麒 d31b7f83ca refactor(core): split god Config into Identity/Settings/Credential resolved at the dispatch boundary
- commands consume a narrowed context (identity/settings/own flags/client);
  config/auth commands additionally use configStore()/authStore() accessors
- resolution happens once at dispatch: buildSources/buildSettings plus
  per-domain credential resolvers; dry-run tolerates missing credentials
- transport takes structured deps; credentials are injected only by Client;
  console gateway takes a resolved target with optional token (anonymous
  catalog calls); pipeline steps and advisor run against client/settings
- telemetry receives authMethod as a value; global/command flags are split
  at dispatch with a same-type shadowing guard at registry build
- behavior change: base URL resolution now prefers DASHSCOPE_BASE_URL env
  over config file base_url (unified flag > env > file > default chain)
- priority chains, store semantics and command capability boundaries are
  locked by unit tests
2026-07-06 15:59:33 +08:00
gujieye 7b08b8863e Merge pull request #88 from modelstudioai/feat/update-recommend
feat: update model recommend by using intent model & using soft / hard score in model recall
2026-07-06 14:03:23 +08:00
故璃 d118875772 Merge branch 'main' into feat/update-recommend 2026-07-06 13:40:41 +08:00
故璃 d2312847eb feat: update model recommend 2026-07-06 13:40:00 +08:00
clark-fc b5f2b8b691 Merge pull request #87 from modelstudioai/feat/update-version
Feat/update version
2026-07-03 18:19:54 +08:00
qcq01083097 acfbc58516 feat: update skill version to 1.6.1 2026-07-03 18:15:53 +08:00
qcq01083097 e4849224c4 feat: update version to 1.6.1 2026-07-03 18:12:51 +08:00
clark-fc 3aa08e5d79 Merge pull request #86 from modelstudioai/feat/change-model
feat: change vision describe example model
2026-07-03 17:52:02 +08:00
qcq01083097 4914c5258b feat: change vision describe example model 2026-07-03 16:23:50 +08:00
clark-fc a20ab54406 Merge pull request #85 from modelstudioai/feat/knowledge-cli
Feat/knowledge cli
2026-07-02 16:45:13 +08:00
zeyu.fz e6a8bf09e7 test(knowledge): 添加条件跳过无法执行的e2e错误场景测试
- 根据isDashScopeE2EReady函数动态跳过错误场景测试集
- 修改测试注释明确标注环境变量可能泄露风险
- 将BAILIAN_CONFIG_DIR改为固定临时目录路径以稳定测试
- 在知识检索命令新增dry-run支持,绕过凭证直接使用API-KEY路径执行请求体输出
2026-07-02 16:42:52 +08:00
zeyu.fz c6426e9e94 test(cli): 更新测试用例以模拟空环境变量场景
- 在 knowledge chat 相关测试中加入 BAILIAN_WORKSPACE_ID 为空的环境变量模拟
- 在 knowledge search 相关测试中加入 BAILIAN_WORKSPACE_ID 为空的环境变量模拟
- 将 knowledge 相关测试中的部分环境变量由 undefined 改为空字符串以更准确模拟环境场景
- 保持测试逻辑不变,确保非零退出码及错误提示的正确性
2026-07-02 16:31:00 +08:00
zeyu.fz 03541b4fd1 test(e2e): 移除多处测试调试信息并优化 runCli 调用参数
- 从 file-upload.e2e.test.ts 中删除无用的调试日志代码
- global-setup.ts 中清理环境变量调试打印信息
- knowledge-chat.e2e.test.ts 和 knowledge-search.e2e.test.ts 中去除多余的环境变量传入
- knowledge.e2e.test.ts 中调整 runCli 调用,统一简化测试参数
- commands/knowledge 下 chat.ts 与 search.ts 增加 skipDefaultApiKeySetup 标记,避免默认 API Key 初始化
2026-07-02 16:28:42 +08:00
zeyu.fz 6dd206eda9 debug(cli): 增加文件上传测试对配置文件读取的调试日志
- 添加对用户主目录下配置文件路径的打印和存在性检查
- 打印环境变量 HOME 及 BAILIAN_CONFIG_DIR 的值
- 调用 readConfigFile 并打印返回内容及 api_key 相关信息
- 捕获并打印 readConfigFile 的异常信息
- 如果配置文件存在,读取并打印其原始内容
- 保留现有环境变量和功能状态的调试输出
2026-07-02 16:08:36 +08:00
zeyu.fz e2efcfda77 test(cli): 添加文件上传E2E测试的环境变量调试信息
- 引入 isBailianE2EEnabled 方法用于调试
- 在 worker 进程中打印关键环境变量 DASHSCOPE_API_KEY
- 打印 isDashScopeE2EReady 与 isBailianE2EEnabled 的返回结果
- 方便排查文件上传相关E2E测试环境状态问题
2026-07-02 15:58:14 +08:00
zeyu.fz a078670445 Merge remote-tracking branch 'origin/feat/composable-cli' into feat/knowledge-cli 2026-07-02 15:51:40 +08:00
zeyu.fz 8fc2fc54fb test(e2e): 添加全局设置调试日志,排查CI环境变量问题
- 增加日志输出,详细打印CI环境中的关键变量值
- 检查并打印本地配置文件内容及其API Key长度
- 引入新的辅助函数,支持更全面的环境就绪状态检测
- 提升对DashScope和Console等E2E测试环境的诊断能力
- 便于排查CI中DASHSCOPE_API_KEY及相关环境变量的来源和状态
2026-07-02 15:49:48 +08:00
zeyu.fz 9bf6c6d9af refactor(release): 移除未使用的导入以简化代码
- 从 publish-stable.mjs 中删除了未使用的 findPackage 导入
- 仅保留 ALL_PACKAGES 和 PACKAGES 的导入
- 提升代码的清晰度和维护性
2026-07-02 15:36:48 +08:00
zeyu.fz 892ae300ae feat(knowledge): 新增基于 workspace 的知识库语义检索与问答功能
- 新增 `bl knowledge search` 命令,支持语义检索及多模态检索参数
- 新增 `bl knowledge chat` 命令,支持知识库 SSE 流式问答及多轮历史对话
- 在 `bailian-cli-core` 中添加相应的知识 API 类型和端点支持
- `kscli` 新增 `search` 和 `chat` 两个命令,`retrieve` 标记为废弃
- 更新 `kscli` README,调整主推命令并标记 `retrieve` 废弃
- 补充完善 E2E 测试覆盖检索与问答功能的多种用例
- 修正若干缺少必要参数时的 CLI 行为,确保打印帮助并正常退出
- 升级各相关包版本至 1.6.0,更新 CHANGELOG 及相关文档说明
2026-07-02 15:19:38 +08:00
zeyu.fz 6c4f31ddb2 test(e2e): 删除kscli的chat和search端到端测试
- 移除chat命令的多种输出模式测试(JSON、文本、流模式)
- 删除多轮对话上下文感知回答的测试用例
- 删除chat命令无效agent_id时的容错测试
- 移除search命令的JSON和文本模式搜索测试
- 删除带查询历史的搜索功能测试
- 删除search命令无效agent_id时的错误处理测试
- 清理与测试相关的类型定义和辅助函数调用
2026-07-02 14:38:20 +08:00
zeyu.fz 9ff8c53d53 feat: merge 2026-07-02 14:22:50 +08:00
zeyu.fz 7c9ad7d6ce feat(packages): 添加 runtime 和 commands 包配置
- 在包列表中新增 runtime 包配置
- 在包列表中新增 commands 包配置
- 确保新包路径和名称正确设置
2026-06-29 18:18:44 +08:00
若麒 ae88f7a4ad refactor(runtime): group process-lifecycle setup into installProcessHandlers 2026-06-29 16:08:14 +08:00
若麒 bd431d769f feat(update-checker): surface update notice to non-TTY/agent runs
- drop the CI / non-TTY early-return so agents see "Update available" too
- widen check interval 4h→24h; stay silent inside the window (no per-command repeat)
- remove orphan isCI() helper (zero callers)
- versioning.md: drop the now-false "banner suppressed under agent" rationale
2026-06-29 15:45:34 +08:00
若麒 df89ededc2 test(e2e): align with UsageError validation contract
Missing required flags now throw UsageError (exit code 2, error on
stderr, JSON under --output json) instead of printing help and exiting
0. Update assertions and titles accordingly:

- missing-flag cases: exitCode 0/1 -> 2, retitle to "errors as usage error (2)"
- auth / video-task-get under --output json: assert the error JSON on stderr
- proxy probe: import setupProxyFromEnv from runtime/src/proxy.ts
- drop tests for the removed config export-schema command
- fix t2v dry-run: cliTimeoutPrefix misplaced between --model and its value
2026-06-29 14:53:24 +08:00
zeyu.fz 2ec2f34763 feat(cli): 支持多模态消息内容及图片URL数组
- 扩展聊天消息内容类型,支持文本和图片URL的数组形式
- 处理 --image 参数,将图片URL作为多模态内容附加到最后一条用户消息
- 若无用户消息且指定图片URL,自动创建空用户消息以承载图片内容
- 禁止同时使用内嵌图片内容和 --image 参数,避免冲突
- 将知识搜索接口请求的图片参数字段 image_list 重命名为 images
- 单元测试覆盖多模态内容及图片数组行为验证
- 优化消息解析,支持JSON结构化消息和 role:content 格式
- 更新API类型声明,明确多模态消息结构与字段类型
2026-06-29 13:36:32 +08:00
若麒 1f56feab24 refactor(commands): route all exits through the central error handler
Commands no longer call process.exit() directly. Every failure now throws
UsageError (bad input → exit 2) or BailianError (runtime failure, with
AUTH/TIMEOUT codes), so the runtime's handleError stays the single exit
point and telemetry always flushes.

- convert 27 process.exit() sites across 15 commands to throws
- move cross-flag/value checks into validate(); use flag `choices` for
  --events / --sort; drop dead --model required check
- keep pipeline's process.exitCode for lint-style soft failures
- enforce with unicorn/no-process-exit, allowed only in runtime/tools/tests
- fix incidental lint: void floating run(), narrow console errorCode,
  align generate-reference type imports to source
2026-06-29 09:07:12 +08:00
若麒 2f9558c161 refactor(auth): remove deprecated AK/SK auth for knowledge retrieve
AK/SK signing was used only by `knowledge retrieve`'s deprecated fallback,
which the api-key auth gate now makes unreachable. Drop it; the command is
pure api-key.

- knowledge/retrieve: remove the AK/SK path + --access-key-id/secret/workspace-id
  flags; api-key only
- delete client/ak-sign.ts and its signRequest/AkSignConfig exports
- drop access_key_id/access_key_secret from config schema, loader, and
  `config show` / `config set`
- remove the now-unused PascalCase KnowledgeRetrieve request/response types
2026-06-28 22:24:59 +08:00
若麒 95eb07d04a refactor(auth): centralize credential resolution into authStage + Client
Move all credential handling out of commands into one place. authStage
resolves the credential for the command's declared `auth` and bakes it into
`ctx.client`, gating (throw) when missing; commands reach the network only
through `ctx.client` and never touch tokens or baseUrl.

- add Client (request/requestJson/uploadFile/mcp/console/url) wrapping the
  token + baseUrl; commands call it instead of self-resolving
- run(config, flags) → run(ctx) + CommandContext; migrate all 45 commands
- split domains: model = pure api-key (drop access-token fallback), console =
  config.json only (drop DASHSCOPE_ACCESS_TOKEN env)
- consolidate env reads in loadConfig; CredentialSource = flag | env | config;
  priority flag > env > config
- endpoints return paths (xxxPath) instead of full URLs; baseUrl owned by Client
- auth status now uses describeAuth
- video/download: auth "none" → "apiKey" (it needs the model API)
- dedupe fetchModelList behind an injected console-call function
- remove ensureApiKey/ensure-key.ts, prompt.ts + isInteractive, and the old
  resolveCredential/resolveConsoleGatewayCredential resolvers
- tests: adapt auth.e2e to the new auth status shape; drop the
  DASHSCOPE_ACCESS_TOKEN branch from console-readiness gates
2026-06-28 20:42:33 +08:00
若麒 f9bf36c242 refactor(flags): keyed type-inferred flag schema; option→flag rename
Replace the positional `OptionDef[]` array (key/type regex-parsed from
"--x <v>" strings) with a keyed `FlagsDef` record whose `type` drives both
runtime parsing and compile-time flag-type inference (`Flags<typeof DEF>`).
GLOBAL_FLAGS becomes the single source; the hand-kept GlobalFlags interface
(types/flags.ts) is deleted.

- core: SwitchFlag|ValueFlag union, ParsedFlags/Flags inference, defineCommand
  infers F from spec.flags
- runtime: parseFlags dispatches on def.type (switch/string/number/boolean/
  array/choices) with declarative required-flag enforcement
- commands: migrate every flag declaration to the keyed form
- naming: option→flag throughout (OptionDef→FlagDef, OptionsDef→FlagsDef,
  GLOBAL_OPTIONS→GLOBAL_FLAGS, command field options→flags), plus user-facing
  "Options:"→"Flags:" in help and the regenerated skill reference docs

Behavior-preserving aside from the intentional Options→Flags wording:
vp check clean across all packages, 29 parser tests pass, reference regen
byte-identical before the terminology swap.
2026-06-28 11:19:21 +08:00
若麒 cbd3c1232c refactor(runtime): unify validation into UsageError; bare command shows help
- drop IncompleteCommandError: missing-required, failed validate, and bad/unknown
  flags are all UsageError now
- error boundary keys on bareness — bare command that fails → help (exit 0);
  non-bare invalid → error + message (exit 2)
- login: drop config.apiKey fallback, --api-key required-unless-console via validate
- speech: drop empty --text-file guard (empty content is the API's concern)
2026-06-27 10:56:28 +08:00
zeyu.fz d2aa8cac17 docs(cli): 统一所有参考文档表格格式及添加全局参数说明
- 统一调整所有命令参考文档中的表格格式,使用简洁markdown表格语法替换旧格式
- 规范所有命令详情中的字段表头格式,保持一致性
- 在索引中添加全局参数列表,列出所有命令通用的全局标志选项
- 修正配置键名称中的小错误(例如base_url写法统一)
- 优化目录索引部分格式,更加规范排列和对齐
- 未改变命令内容及描述,保证文档信息一致性
2026-06-26 19:15:26 +08:00
zeyu.fz ead1bc0f5f refactor(release): 重构发布流程并合并知识库发布逻辑
- 删除独立的 publish-knowledge.yml 工作流
- 在 publish.yml 中新增 package 选择,支持 bailian-cli 和 knowledge-studio-cli
- 发布脚本根据 package 参数传递 --knowledge 标志
- 修改发布任务并发组以包含 package 参数,避免冲突
- 调整发布稳定版与频道版任务名称显示 package 信息
- 精简发布依赖顺序注释,去除冗余部分
- 优化构建步骤,仅构建 bailian-cli-core 包
- 更新包管理代码,整合知识库相关包到统一发布流程
2026-06-26 18:12:35 +08:00
zeyu.fz 4745d70587 feat(release): 支持 knowledge-studio-cli 的构建与发布流程
- 新增发布工作流 publish-knowledge.yml,支持 stable 和 channel 模式发布含 knowledge 的包
- runCheck 函数增加 knowledge 参数,支持同时构建和验证 knowledge-studio-cli 包
- publish-stable 和 publish-channel 脚本支持传入 knowledge 参数,调整发布的包列表
- packAndScan 函数支持指定发布包列表,增强灵活性
- 扩展 packages 模块,新增 ALL_PACKAGES 常量包含所有包(基础包加 knowledge-studio-cli)
- loadAndValidate
2026-06-26 16:53:59 +08:00
若麒 91e6c6f553 refactor(runtime): resolve/middleware kernel + declarative arg validation
把 main 从一堆 if + process.exit 重构为「argv 解析成数据 → 交给统一管线执行」。

内核
- resolve(argv) → Resolution(version/help/run/usageError):路由即数据,dispatch 只 switch
- compose 洋葱中间件 (versionCheck/telemetry/auth/runCommand),命令仍收 (config, flags)
- registry.locate() 统一 leaf/group/unknown,取代 isGroupPath + 抛异常的 resolve
- 删除 command-help.ts 全局可变单例:help 渲染收口到错误边界

错误模型
- 新增 UsageError(写错了 → exit 2) 与 IncompleteCommandError(没写完 → 打 help、exit 0)
- version / help / onboarding / 组帮助统一由 resolve 产出、dispatch 分派

参数与校验
- parseFlags 重写:无 positional、新增 switch 类型、值/类型/重复校验
- 无条件必填 → 解析器声明式强制 (OptionDef.required)
- 跨 flag / 条件约束 → 新增 command.validate(flags) 钩子
  (text-chat / search-web / speech / vision / video-ref)
- 移除全部交互式输入 (promptText/Select/Confirm),缺输入直接打 help

输出
- detectOutputFormat 默认 text,不再按 TTY 切 json

测试
- 删除 3 个 stale cli 测试,runtime 单测重写 (29 passed),e2e 适配新行为
2026-06-26 16:50:12 +08:00
zeyu.fz eaa6b07c7d build(kscli): 构建并发布 knowledge-studio-cli 包
- 将 knowledge-studio-cli 版本更新至 1.4.0
- 在发布脚本中新增 knowledge-studio-cli 构建步骤
- 更新包依赖顺序,加入 knowledge-studio-cli 包
- 确保知识库检索相关 CLI 正确构建发布
2026-06-26 16:24:17 +08:00
zeyu.fz ca69316446 feat(cli): 新增 knowledge search 和 knowledge chat 命令支持
- 在 CLI 命令中添加 knowledgeSearch 和 knowledgeChat 两个新命令
- 新增 knowledge 搜索命令,支持多模态图像检索及对话历史上下文传递
- 新增 knowledge 问答命令,支持多轮消息流式回答及多模态输入
- 在核心客户端库(core)中添加对应的 API 端点和类型定义
- 知识库检索接口 retrieve 标注为弃用,推荐使用 search 命令替代
- 更新 kscli 主程序入口,接入新命令并兼容旧命令
- 补充 e2e 测试覆盖 knowledge search 和 knowledge chat 的各类边界与流程
- 更新文档及命令示例,实现使用说明同步最新功能
- 增加测试配置,改善 E2E 测试环境与超时设置
2026-06-26 15:52:44 +08:00
若麒 7a0a083b2e refactor(core): replace skipDefaultApiKeySetup with required auth field
Commands now declare their credential requirement explicitly via a
required `auth: "apiKey" | "console" | "none"` field instead of the
boolean `skipDefaultApiKeySetup`. The runtime prepares credentials
based on this declaration and skips API-key setup under --dry-run.

- core: add AuthRequirement type and required `auth` field to
  Command/CommandSpec; drop skipDefaultApiKeySetup
- runtime: gate API-key setup on `auth === "apiKey" && !dryRun`
- commands: annotate all 45 commands (apiKey 25 / console 11 / none 9)
2026-06-24 16:41:09 +08:00
673 changed files with 77503 additions and 14813 deletions
+1 -1
View File
@@ -39,7 +39,7 @@ body:
attributes:
label: Node version
description: "Output of node --version"
placeholder: "v22.12.0"
placeholder: "v18.17.0"
validations:
required: true
+27
View File
@@ -0,0 +1,27 @@
# Poke the FC publish-skills flow after skills/ changes land.
# The FC side reconciles this repo's skills/ directory against OSS
# (bailian-wiki/skills/) using the repo HEAD snapshot as the only
# source of truth — the request itself carries no content. Both the
# repo and branch params are validated against FC-side whitelists
# (PUBLISH_REPOS / PUBLISH_BRANCHES).
#
# feat/cli-skill-sync is temporary for end-to-end testing; remove it
# (here and from the FC PUBLISH_BRANCHES whitelist) once the sync
# link is verified on main.
name: Publish skills to OSS
on:
push:
branches:
- main
- feat/cli-skill-sync
paths:
- "skills/**"
jobs:
poke:
runs-on: ubuntu-latest
steps:
- name: Trigger FC publish-skills
run: |
curl -sf -X POST "${{ vars.FC_TRIGGER_URL }}/publish-skills?repo=modelstudioai/cli&branch=${{ github.ref_name }}"
+52 -5
View File
@@ -18,7 +18,7 @@ on:
- channel
- stable
channel:
description: "dist-tag (channel mode only, e.g. mcp/plugin/advisor)"
description: "Required when mode=channel. npm dist-tag only (lowercase, digits, dashes), e.g. mcp / plugin / sync-release. bailian-cli binary CDN always overwrites sync-release.json; knowledge-studio-cli is npm-only."
required: false
type: string
@@ -29,11 +29,11 @@ concurrency:
jobs:
publish-stable:
if: inputs.mode == 'stable'
name: publish stable (${{ inputs.package }}) to npm + tag
name: publish stable (${{ inputs.package }}) to npm + binary + tag
runs-on: ubuntu-latest
environment: production # Required Reviewers gate
permissions:
contents: write # push lightweight tag to origin
contents: write # push tag + create GitHub Release with binary assets
id-token: write # OIDC for npm Trusted Publishing + provenance
steps:
- uses: actions/checkout@v6
@@ -55,19 +55,47 @@ jobs:
| sudo tar -xz -C /usr/local/bin gitleaks
gitleaks version
- name: Ensure zip (per-platform binary archives)
run: sudo apt-get update && sudo apt-get install -y zip
- run: pnpm install --frozen-lockfile
# Binary compile uses `bun build --compile` CLI (not Bun.build API).
# Keep this pin in sync with any local smoke tests of binary-compile.mjs.
- uses: oven-sh/setup-bun@v2
with:
bun-version: "1.2.19"
- name: publish-stable
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# OSS release channel runs fully in CI: upload + reconcile + manifest.json.
# All values come from repo Settings → Secrets — no OSS defaults live in
# code. Leave AK/SK unset to skip the OSS channel; once enabled,
# bucket/region/prefix are required.
BAILIAN_OSS_AK: ${{ secrets.BAILIAN_OSS_AK }}
BAILIAN_OSS_SK: ${{ secrets.BAILIAN_OSS_SK }}
BAILIAN_OSS_BUCKET: ${{ secrets.BAILIAN_OSS_BUCKET }}
BAILIAN_OSS_REGION: ${{ secrets.BAILIAN_OSS_REGION }}
BAILIAN_OSS_ENDPOINT: ${{ secrets.BAILIAN_OSS_ENDPOINT }}
BAILIAN_RELEASE_PREFIX: ${{ secrets.BAILIAN_RELEASE_PREFIX }}
BAILIAN_STATIC_PREFIX: ${{ secrets.BAILIAN_STATIC_PREFIX }}
run: node tools/release/publish-stable.mjs ${{ inputs.package == 'knowledge-studio-cli' && '--knowledge' || '' }}
publish-channel:
if: inputs.mode == 'channel'
name: publish channel (${{ inputs.package }}) to npm
name: publish channel (${{ inputs.package }}) to npm + binary
runs-on: ubuntu-latest
permissions:
contents: read # no tag, no Release; just publish
contents: write # create prerelease GitHub Release with binary assets
id-token: write # OIDC for npm Trusted Publishing + provenance
steps:
- name: Require channel input
if: ${{ inputs.channel == '' }}
run: |
echo "::error::mode=channel requires the workflow input \"channel\" (npm dist-tag, e.g. mcp / plugin / sync-release). Leave mode=stable if you do not need a dist-tag."
exit 1
- uses: actions/checkout@v6
- uses: pnpm/action-setup@v6
@@ -87,7 +115,26 @@ jobs:
| sudo tar -xz -C /usr/local/bin gitleaks
gitleaks version
- name: Ensure zip (per-platform binary archives)
run: sudo apt-get update && sudo apt-get install -y zip
- run: pnpm install --frozen-lockfile
# Binary compile uses `bun build --compile` CLI (not Bun.build API).
# Keep this pin in sync with any local smoke tests of binary-compile.mjs.
- uses: oven-sh/setup-bun@v2
with:
bun-version: "1.2.19"
- name: publish-channel
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# OSS release channel — same Settings-injected values as stable.
BAILIAN_OSS_AK: ${{ secrets.BAILIAN_OSS_AK }}
BAILIAN_OSS_SK: ${{ secrets.BAILIAN_OSS_SK }}
BAILIAN_OSS_BUCKET: ${{ secrets.BAILIAN_OSS_BUCKET }}
BAILIAN_OSS_REGION: ${{ secrets.BAILIAN_OSS_REGION }}
BAILIAN_OSS_ENDPOINT: ${{ secrets.BAILIAN_OSS_ENDPOINT }}
BAILIAN_RELEASE_PREFIX: ${{ secrets.BAILIAN_RELEASE_PREFIX }}
BAILIAN_STATIC_PREFIX: ${{ secrets.BAILIAN_STATIC_PREFIX }}
run: node tools/release/publish-channel.mjs ${{ inputs.package == 'knowledge-studio-cli' && '--knowledge' || '' }} --channel "${{ inputs.channel }}"
+6
View File
@@ -10,6 +10,7 @@ lerna-debug.log*
# Dependencies & build output
node_modules
dist
dist-bin
dist-ssr
tools/generated
.node-version
@@ -36,7 +37,9 @@ tools/generated
.claude/settings.local.json
.claude/scheduled_tasks.lock
.cursor/
.qoder/
.qwen/
.qoder
.playwright-mcp/
.pnpm-store/
@@ -46,3 +49,6 @@ packages/cli/scene/**/outputs/
# Environment variables (sensitive data)
.env
# Local scratch / plan drafts (never commit)
.scratch/
-1
View File
@@ -1 +0,0 @@
24
+11 -2
View File
@@ -1,10 +1,19 @@
#!/usr/bin/env sh
set -eu
# Regenerate skill reference + SKILL metadata (needs bailian-cli-core dist).
# Regenerate skill reference + SKILL metadata from source (no package build).
pnpm run sync:skill-assets
# Stage generator output so it is included in this commit.
git add skills/bailian-cli/reference skills/bailian-cli/SKILL.md
git add \
skills/bailian-protocol/SKILL.md \
skills/bailian-cli/SKILL.md \
skills/bailian-cli/reference \
skills/bailian-gen/SKILL.md \
skills/bailian-gen/reference \
skills/bailian-finetune/SKILL.md \
skills/bailian-finetune/reference \
skills/bailian-managed-agent/SKILL.md \
skills/bailian-managed-agent/reference
vp staged
+85 -64
View File
@@ -1,82 +1,96 @@
# bailian-cli — AI 维护指南
本文件是 AI agent 维护本仓库时的契约。每次进入项目先读这里,从下方"业务场景索引"挑一条,跳到对应的详细文档,按它的清单完成改动
本文件是 AI agent 维护本仓库时的契约。每次进入项目先读这里,从"业务场景索引"挑一条,再进入对应 `docs/agents/*.md` 清单
## 项目地图
monorepo 双包结构:
monorepo 现在按"纯逻辑 → 运行时框架 → 命令库 → 产品入口"分层:
- `packages/cli``bailian-cli` 包,CLI 命令、UI、入口
- `packages/core``bailian-cli-core` 包,鉴权 / HTTP / 类型,纯逻辑层
- `packages/core``bailian-cli-core`,纯逻辑层:鉴权、配置、HTTP client、错误、类型、文件工具
- `packages/runtime``bailian-cli-runtime`,通用 CLI 运行时:`createCli`、参数解析、registry/help、middleware、error handler、输出、pipeline、Command Pack host
- `packages/commands``bailian-cli-commands`,可复用命令实现库,只导出 command,不决定产品路径
- `packages/cli``bailian-cli`,完整 `bl` 产品入口;`src/commands.ts` 组装 `bl` 暴露的命令路径
- `packages/kscli``knowledge-studio-cli`,Knowledge Studio 专用入口;`src/main.ts` 复用 commands 并重映射为 `kscli` 路径
### `packages/cli` 目录要点
### 关键文件
```
packages/cli/
├── src/
│ ├── main.ts # 入口、鉴权分支、调用 registry
│ ├── registry.ts # 命令树解析、动态 help(读 catalog)
│ ├── commands/
│ │ ├── catalog.ts # 命令总表(登记处,构建脚本也读它)
│ │ ├── index.ts # re-export commands
│ │ └── <group>/...ts # 各命令 defineCommand 实现
│ ├── output/ # CLI 输出、prompt、progress
│ └── urls.ts # 控制台/文档 URL(仅 cli)
└── tests/e2e/
packages/cli/src/main.ts # bl 入口,注入 binName/version/clientName/npmPackage
packages/cli/src/commands.ts # bl 产品命令 map,tools/generate-reference.ts 也读它
packages/cli/src/command-pack-policy.ts # bl 的 Command Pack policy
packages/kscli/src/main.ts # kscli 入口和命令 map
packages/commands/src/index.ts # re-export 单个命令实现
packages/commands/src/commands/ # defineCommand({ auth, flags, usageArgs, exampleArgs, run })
packages/runtime/src/create-cli.ts # createCli(commands, options)
packages/runtime/src/registry.ts # 命令树解析 + 动态 help
packages/runtime/src/middleware.ts # auth / telemetry / update / run command
packages/runtime/src/command-packs/ # 通用 Command Pack 加载、校验、隔离安装目录和管理命令
packages/runtime/src/urls.ts # 用户面控制台 URL
packages/core/src/types/command.ts # Command / flags / auth 类型
packages/core/src/config/ # ConfigFile / Settings / source 解析
packages/core/src/auth/ # apiKey / console credential 解析与落盘
packages/core/src/client/ # HTTP client / endpoints / console gateway
```
Skill / 命令手册随 `skills/bailian-cli/``npx skills add modelstudioai/cli` 安装。`tools/generate-reference.ts``catalog.ts` 生成命令手册到 `skills/bailian-cli/reference/`(纳入 git);`tools/sync-skill-metadata.ts` 一起在 **pre-commit**`.vite-hooks/pre-commit`)及根脚本 `pnpm run sync:skill-assets` 中执行
非代码资产:
- `tools/release/` — 发版自动化CI 驱动,见 `.github/workflows/publish.yml`
- `tools/generate-reference.ts` — 从 `catalog.ts` 生成命令手册到 `skills/bailian-cli/reference/`
- `tools/sync-skill-metadata.ts` — 从 `packages/cli/package.json` 同步 `skills/bailian-cli/SKILL.md``metadata.version`(与 `generate:reference` 一并由根目录 `pnpm run sync:skill-assets` 及 pre-commit 执行)
- `README.md` / `README.zh.md` — npm 和 GitHub 主页
Skill / 命令手册随 `skills/bailian-*/``bl skill init` 安装(装齐 registry 中全部 `bailian-*`,含共享协议 `bailian-protocol`)。业务 skill`bailian-cli` / `bailian-gen` / `bailian-finetune` / `bailian-managed-agent`)执行前读 `skills/bailian-protocol/`;不要依赖 frontmatter `companions`(安装器不强制)。`tools/generate-reference.ts`**`packages/cli/src/commands.ts`** 按一级命令归属表分流写入各 `skills/<skill>/reference/`(纳入 git);`tools/sync-skill-metadata.ts` `packages/cli/package.json` 同步各 `skills/*/SKILL.md``metadata.version`。两者由根脚本 `pnpm run sync:skill-assets``.vite-hooks/pre-commit` 执行。hub `bailian-cli` 的路由表不复述领域命令明细SKILL 文案 / 安装约定 / hand-off 见 [docs/agents/skill-change.md](docs/agents/skill-change.md)
约定:
- core 是纯库,不依赖 cli(详见下方通用约定)
- 文件路径与命令路径一一对应:`commands/text/chat.ts` `bl text chat`
- 单级命令:`commands/<name>.ts`(如 `update.ts`);两级:`commands/<group>/<action>.ts`
- 命令登记在 **`catalog.ts`**;`bl --help` `tools/generate-reference.ts` 生成的命令手册同源,见 [command-add-remove.md](docs/agents/command-add-remove.md)
- 命令实现文件路径仍按能力放置:`packages/commands/src/commands/text/chat.ts`
- 产品命令路径由入口 map 决定:同一个实现可暴露为 `bl knowledge retrieve` `kscli retrieve`
- `defineCommand` 只写命令元数据与逻辑: `auth``flags``usageArgs``exampleArgs``validate``run`
- `usageArgs` / `exampleArgs` 不写 `bl` `kscli` 前缀;runtime / reference 生成器按产品路径补前缀
- 不再使用 `catalog.ts` 作为登记处;新增/重命名命令必须同时看命令库导出和产品入口 map
非代码资产:
- `tools/release/` — 发版自动化CI 驱动,见 `.github/workflows/publish.yml`
- `tools/generate-reference.ts` — 从 `packages/cli/src/commands.ts` 按归属表生成各 `skills/<skill>/reference/`
- `tools/sync-skill-metadata.ts` — 同步各 `skills/*/SKILL.md``metadata.version`(含 `bailian-protocol`
- `README.md` / `README.zh.md` — npm 和 GitHub 主页
## 业务场景索引
按当前任务从下表挑一条进入对应文档:
| 场景 | 何时进入 | 详见 |
| -------------- | -------------------------------------------- | ------------------------------------------------------------------------ |
| 命令增删改 | 增加 / 删除 / 重命名 `bl xxx` | [docs/agents/command-add-remove.md](docs/agents/command-add-remove.md) |
| E2E 测试维护 | 新增/改命令或 e2e 用例、补 help/缺参/dry-run | [docs/agents/cli-e2e-tests.md](docs/agents/cli-e2e-tests.md) |
| 批量压测 | 改/跑多能力并发压测、`test:stress`、fixtures | [docs/agents/stress-batch-tests.md](docs/agents/stress-batch-tests.md) |
| 选项变更 | 给已有命令加 `--flag` 或改默认值 | [docs/agents/command-flag-change.md](docs/agents/command-flag-change.md) |
| 模型上下架 | 增加新模型 / 改默认模型 / 废弃旧模型 | [docs/agents/model-add-remove.md](docs/agents/model-add-remove.md) |
| 错误文案变更 | 改 `BailianError` 的 message 或 hint | [docs/agents/error-hint-change.md](docs/agents/error-hint-change.md) |
| URL / 渠道变更 | 控制台域名 / 文档站 / 追踪参数 | [docs/agents/url-change.md](docs/agents/url-change.md) |
| 鉴权扩展 | 加 OAuth / SSO / 换 token 来源 | [docs/agents/auth-change.md](docs/agents/auth-change.md) |
| 配置项扩展 | 新 env var 或 `~/.bailian/config.json` 字段 | [docs/agents/config-add.md](docs/agents/config-add.md) |
| 发布 | channel / stable 发布到 npmCI 驱动) | [docs/agents/publish.md](docs/agents/publish.md) |
| 工具链调整 | lint 规则 / 构建配置 / 依赖升级 | [docs/agents/lint-toolchain.md](docs/agents/lint-toolchain.md) |
| 场景 | 何时进入 | 详见 |
| ----------------- | ----------------------------------------------- | ---------------------------------------------------------------------------- |
| 命令增删改 | 增加 / 删除 / 重命名 `bl xxx` 或入口命令路径 | [docs/agents/command-add-remove.md](docs/agents/command-add-remove.md) |
| E2E 测试维护 | 新增/改命令或 e2e 用例、补 help/缺参/dry-run | [docs/agents/cli-e2e-tests.md](docs/agents/cli-e2e-tests.md) |
| 批量压测 | 改/跑多能力并发压测、`test:stress`、fixtures | [docs/agents/stress-batch-tests.md](docs/agents/stress-batch-tests.md) |
| 选项变更 | 给已有命令加 `--flag` 或改默认值 | [docs/agents/command-flag-change.md](docs/agents/command-flag-change.md) |
| 模型上下架 | 增加新模型 / 改默认模型 / 废弃旧模型 | [docs/agents/model-add-remove.md](docs/agents/model-add-remove.md) |
| Skill 文案 / 路由 | 改 SKILL 路由、安装约定、hand-off、hub/领域边界 | [docs/agents/skill-change.md](docs/agents/skill-change.md) |
| 错误文案变更 | 改 `BailianError` 的 message 或 hint | [docs/agents/error-hint-change.md](docs/agents/error-hint-change.md) |
| URL / 渠道变更 | 控制台域名 / 文档站 / 追踪参数 | [docs/agents/url-change.md](docs/agents/url-change.md) |
| 埋点变更 | 改 AEM 命令事件、后端渠道 header、User-Agent | [docs/agents/telemetry-change.md](docs/agents/telemetry-change.md) |
| 鉴权扩展 | 加 OAuth / SSO / 换 token 来源 | [docs/agents/auth-change.md](docs/agents/auth-change.md) |
| 配置项扩展 | 新 env var 或 `~/.bailian/config.json` 字段 | [docs/agents/config-add.md](docs/agents/config-add.md) |
| Profile / 激活 | 改命名 Profile、预设或 `active_config` | [docs/agents/config-profile-change.md](docs/agents/config-profile-change.md) |
| 安装文档 | 改安装、鉴权、验证流程或线上 install 页面 | [docs/agents/install-doc-change.md](docs/agents/install-doc-change.md) |
| 发布 | channel / stable 发布到 npmCI 驱动) | [docs/agents/publish.md](docs/agents/publish.md) |
| Change Log | 发版说明 / 历史版本说明 | [docs/agents/changelog-write.md](docs/agents/changelog-write.md) |
| 工具链调整 | lint 规则 / 构建配置 / 依赖升级 | [docs/agents/lint-toolchain.md](docs/agents/lint-toolchain.md) |
| Command Pack | 扩展包 / 白名单 / plugin 管理命令 | [docs/agents/command-pack.md](docs/agents/command-pack.md) |
如果当前任务无法对应任何场景,先按经验完成,然后**回来评估这是不是一类新场景** —— 是就新增一份 `docs/agents/<scenario>.md`,把清单沉淀下来。
如果当前任务无法对应任何场景,先按经验完成,然后**回来评估这是不是一类新场景** —— 是就新增 `docs/agents/<scenario>.md`,把清单沉淀下来。
## 通用约定
下面两条与场景无关,任何改动都适用。每次完成改动后自查。
### 1. 发布包版本号同步
### 1. cli 和 core 版本号同步
源码包的 `version` 当前保持一致: `packages/core``packages/runtime``packages/commands``packages/cli``packages/kscli`。做版本 bump 时一动多动。release 工具当前强校验 / 发布范围以 `tools/release/lib/packages.mjs` 为准;把新包纳入发布前必须同步该清单和 [publish.md](docs/agents/publish.md)。
`packages/cli/package.json``packages/core/package.json``version` 字段必须始终相等。一动两动。
### 2. 分层边界
### 2. core 是纯库,cli 是 core 的 UI 层
core 不应该知道 cli 的存在。具体表现:
- core 不写 stderr,不调 `process.exit`(用 `console.*``throw`)
- core 抛的 `BailianError`,hint 字符串不出现 `bl xxx` 命令名
- core 不写死域名 / region / 追踪参数(URL 集中在 `packages/cli/src/urls.ts`)
- core 接收 cli 通过 `Config` 注入的 metadata(`clientName` / `clientVersion`)
- `core` 是纯库:不依赖 `runtime` / `commands` / 产品入口;不调 `process.exit`;新增/改动时不硬编码 `bl` / `kscli` 命令名、控制台 URL 或渠道追踪参数。当前遗留项见 [error-hint-change.md](docs/agents/error-hint-change.md) 与 [url-change.md](docs/agents/url-change.md),触碰相关代码时顺手收敛
- `runtime` 是通用 CLI 框架:可以处理 TTY、help、错误输出、middleware,但不写具体业务命令逻辑
- `commands` 是命令实现库:不决定产品路径;不在 `usageArgs` / `exampleArgs` / hint 里硬编码产品 bin 前缀
- `cli` / `kscli` 是产品层:负责命令路径 map、产品 identity、README、技能 reference、发版入口
- URL 集中在 `packages/runtime/src/urls.ts`(用户面控制台)和 `packages/core/src/config/schema.ts` / client 层(API)
### 3. 错误处理边界:CLI 不翻译服务端错误
@@ -86,30 +100,37 @@ CLI 只为「自己能权威解释的错误」发出语义化信号,服务端的
| ---------------------------------------------------- | -------- | ----------------------------------------------------------- |
| 命令解析、缺 flag、参数校验 | **内部** | `BailianError(USAGE)` |
| 文件 I/O(ENOENT/EACCES/...) | **内部** | `BailianError(GENERAL)` + errno-specific hint |
| 本地 credentials 缺失(resolver/ensure-key/AK-SK 等) | **内部** | `BailianError(AUTH)` |
| 本地 credentials 缺失(resolver / auth stage 等) | **内部** | `BailianError(AUTH)` |
| `fetch` 自身失败(DNS/TCP/TLS/proxy) | **内部** | `BailianError(NETWORK)` + 读 `err.cause.code` 给 errno-hint |
| polling 客户端超时 | **内部** | `BailianError(TIMEOUT)` |
| HTTP 4xx/5xx、HTTP 200 + 业务错码、async task FAILED | **服务** | `BailianError(GENERAL)`,**message 原样透传**,不分类、不替换 |
不要扮演服务端错误的翻译官——我们没有最新的错误码体系认知,二次包装只会撒谎(详见 `docs/agents/error-hint-change.md` 中的反面 case)
不要扮演服务端错误的翻译官——我们没有最新的错误码体系认知,二次包装只会撒谎。
### 4. Console Gateway 命令必须声明 console 全局 flags
### 4. Console Gateway 命令必须声明鉴权域
如果命令使用了 `callConsoleGateway`必须 `options` 中添加以下三个全局 flag 的说明,以便 `--help` 中展示:
如果命令调用 Console Gateway,`defineCommand` 必须设置 `auth: "console"`。runtime 会基于 `CONSOLE_AUTH_FLAGS` 自动在 help 中展示 `--console-region``--console-site``--console-switch-agent``--workspace-id`,并由 `authStage` 解析/注入 console credential。命令不要重复声明这些凭证域 flag,也不要手动从 env/config 解析 token。
```ts
{ flag: "--console-region <region>", description: "Console region" },
{ flag: "--console-site <site>", description: "Console site: domestic, international" },
{ flag: "--console-switch-agent <uid>", description: "Switch agent UID", type: "number" },
```
### 5. 禁止单字母变量命名
这些 flag 已在 `GLOBAL_OPTIONS``packages/core/src/types/command.ts`)中注册,由 `loadConfig` 写入 `config.consoleRegion` / `config.consoleSite` / `config.consoleSwitchAgent``callConsoleGateway` 自动读取——命令无需手动提取或传递。
所有变量、参数、回调形参必须使用有语义的命名,不允许单字母(如 `i``m``p``t``e``s`)。具体表现:
- 回调参数: `.map((m) => ...)``.map((model) => ...)`, `.find((t) => ...)``.find((template) => ...)`
- catch 变量: `catch (e)``catch (error)`
- for-of 循环: `for (const i of items)``for (const item of items)`
- 临时变量: `const s = ...``const strategy = ...`
例外: 仅当作用域极小(≤3 行)且语义从上下文完全明确时,可使用 `k`/`v`(Object.entries 的 key/value)。
### 6. 用户可见 CLI 文案必须支持中英文
新增或修改用户可见的 CLI 文案时必须同时提供 `en-US` / `zh-CN`;runtime 公共文案遵循同一规则,服务端错误仍按第 3 节原样透传。命令文案的具体检查项见 [command-add-remove.md](docs/agents/command-add-remove.md)。
## 完成改动后的快速验证
```sh
vp check # format + lint + type check
vp test # unit + e2e (e2e 需 API key)
vp test # unit + e2e (真实集成需 API key / console token)
```
## 这份指南本身怎么演化
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@@ -1,11 +1,341 @@
# Changelog
All notable changes to `bailian-cli` and `bailian-cli-core` are documented here.
All notable changes to the `bailian-cli` packages are documented here.
The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). The `bailian-cli`, `bailian-cli-core`, `bailian-cli-runtime`, and `bailian-cli-commands` packages share a single version number — they are always released together.
The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). The `bailian-cli`, `bailian-cli-core`, `bailian-cli-runtime`, `bailian-cli-commands`, and `knowledge-studio-cli` packages share a single version number.
[中文版](CHANGELOG.zh.md) · [README](README.md) · [Contributing](CONTRIBUTING.md)
## [1.17.0] - 2026-08-18
### Added
- **Native Bailian Managed Agent Deployments** — `deployments` declared in `agents.yaml` now materialize as native AgentStudio resources, with server-side cron schedules, local file resource uploads, archival through `destroy`, and migration of legacy emulated state on the next `apply`.
- **Bilingual CLI experience** — Set `language` to `en-US` or `zh-CN` through `bl config set` or Config UI to switch CLI Help, Quick Start, command examples, and Config UI between English and Chinese. The selected language follows the active config.
### Fixed
- **Free Tier Auto-Stop controls** — `bl usage freetier --off` can now disable Auto-Stop even when free quota remains; status rendering reflects the actual switch state, and filtered model queries avoid server-side batch-limit failures.
## [1.16.0] - 2026-08-17
> Full knowledge-base lifecycle management arrives in the CLI: create and configure knowledge bases, upload documents, tune chunks, and deploy retrieval/Q&A services — all from `bl knowledge` and `kscli`.
### Added
- **Knowledge base management** — `bl knowledge create` / `list` / `info` / `update` / `delete` manage knowledge bases end to end; `bl knowledge stats` reports document counts and usage over a past time range.
- **Document management** — `bl knowledge doc upload` uploads local files or whole directories (recursive scan, skips unsupported formats and tool directories like `node_modules`); `doc list` / `status` / `tag` / `delete` cover the rest of the document lifecycle, and `doc import-oss` imports documents from OSS.
- **Retrieval / Q&A service management** — `bl knowledge service list` / `get` / `create` / `update` / `deploy` / `delete` / `copy` manage retrieval and Q&A service configurations, including deploying a draft to a published version.
- **Chunk management** — `bl knowledge chunk add` / `list` / `update` / `delete` inspect and fine-tune document chunks.
- **Data-center management** — `bl knowledge category list` / `add` / `delete`, `bl knowledge file list` / `get` / `delete`, and `bl knowledge collection create` / `get` manage categories, raw files, and data collections.
- **Service version selection for retrieval and chat** — `bl knowledge search` and `bl knowledge chat` accept `--agent-version` to call the beta (draft) config for debugging or a specific published version.
- **`kscli` parity** — all new knowledge commands are also available in Knowledge Studio CLI under shorter paths, e.g. `kscli kb list`, `kscli doc upload`, `kscli service deploy`.
### Removed
- **`bl knowledge search --query-history` removed** — the parameter never took effect; use `bl knowledge chat` with `--message` history for multi-turn scenarios.
### Internal
- Requests now carry a static OpenAPI source identification header for backend channel attribution.
- Added knowledge-base E2E suites, including five user-journey scenarios covering cold start, content ops, chunk tuning, service tuning, and the data plane.
## [1.15.1] - 2026-08-17
### Added
- **Model permission management** — `bl permission list` shows per-model inference / fine-tune / deploy grants; `bl permission grant` and `bl permission revoke` manage them, with `--all` to one-key grant inference for every model in the workspace (including future ones).
### Changed
- **`bl quota request` renamed to `bl quota update`** — set per-model QPM/TPM via `--rpm`/`--tpm` and clear custom limits with the new `--delete`; omitted fields keep their current values, and the old `quota request` path keeps working as an alias.
- **`bl quota list` reworked** — now reads the model-limits API and shows per-model and workspace-level request/usage limits plus async queue/concurrency limits in a single table.
- **`bl model list` no longer requires Console login** — the model catalog and `--enrich` parameter-schema endpoints are public.
- **`bl skill init` output simplified** — per-skill status is now `success`/`failed` (previously `installed`) with an aggregate `success`/`partial`/`failed` result; the `publishedAt` and `agents` fields were removed.
## [1.15.0] - 2026-08-14
### Added
- **Responses API for `bl text chat`** — Use `--api responses` to call the DashScope Responses API with streaming, tool definitions, and structured JSON output; Chat Completions remains the default.
- **Subscription plan usage views** — `bl usage token-plan` displays 5-hour and weekly quota usage, while `bl usage coding-plan` displays 5-hour, weekly, and monthly usage; both support text and JSON output.
- **Authentication requirements in command help** — Help output now states whether a command requires an API Key, Console login, or Alibaba Cloud OpenAPI credentials.
### Changed
- **Broader speech-recognition model support** — `bl speech recognize` now routes asynchronous file-transcription and synchronous Flash ASR models to the appropriate DashScope APIs, with clear guidance for unsupported realtime models.
- **MCP transport compatibility** — MCP commands now fall back from Streamable HTTP to classic SSE for compatible Bailian and custom endpoints.
### Fixed
- Binary updates now refresh installed Agent Skills after a successful CLI upgrade.
- Fixed unavailable Token Plan quota values and missing reset times.
- Fixed Qwen3 file-transcription result handling so waiting mode and `--out` work correctly.
- Fixed MCP SSE chunk parsing, header timeouts, abort cleanup, and fallback status matching.
- Network failures in JSON output now preserve the errno value in `cause.code`.
## [1.14.3] - 2026-08-12
### Fixed
- **Free-tier quota compatibility** — `bl usage free` and `bl usage freetier` now use the current Bailian Commerce console APIs for quota queries, activation, and deactivation, with consistent asynchronous-task polling.
## [1.14.2] - 2026-08-07
### Added
- **`bl skill init`** — Install all first-party `bailian-*` skills into detected local AI Agents in one step.
### Changed
- **Skill command interface** — Skill management commands now default to JSON output for Agent workflows; `bl skill add` and `bl skill update` use explicit `--all` and `--name` selectors.
## [1.14.1] - 2026-08-05
### Added
- **Focused Bailian Skills** — `npx skills add modelstudioai/cli --all -g` now installs dedicated skills for media generation, fine-tuning, Managed Agent, and shared execution rules, improving task routing while reducing irrelevant context.
### Changed
- **Default image model upgraded to Qwen-Image 3.0** — image generation, image editing, pipelines, the config UI, and related documentation now default to `qwen-image-3.0` for API Key users.
- **Broader coding-agent compatibility** — Skill installation and updates now detect more coding agents, preserve existing installation links, and automatically backfill skills into newly detected agents.
## [1.14.0] - 2026-08-04
### Added
- **Standalone installation without Node.js** — binary packages are available for macOS on Apple Silicon and Intel, Linux x64, and Windows x64; npm installation remains supported.
- **Exact-version updates** — binary and npm installations can use `bl update --to <version>` to update or switch to a specified version.
### Changed
- **Binary self-updates** — binary installations now check and download updates through a dedicated release channel. `bl update` no longer replaces the running executable, and the next invocation automatically uses the new version.
## [1.13.1] - 2026-08-03
### Changed
- **Default text model upgraded to Qwen3.8-Max** — `bl text chat`, pipelines, API key validation, the config UI, and Managed Agent init templates now default to `qwen3.8-max`; Token Plan also moves from the preview model to the stable release.
## [1.13.0] - 2026-07-30
### Added
- **`bl config ui` Skills / MCP / Agents / Assets inventory** — browse installed skills, MCP servers, coding agents, and generated assets in the local Web UI with click-to-open detail drawers:
- Skills: render `SKILL.md` as Markdown (GFM tables supported), show local vs remote origin badges, and install a skill by uploading a `.zip` archive into any supported agent's skills root.
- MCP: view and edit JSON configuration with secret masking and mask-preserving writes; create, update, and delete MCP entries across Claude Code, Qwen Code, OpenCode, Cursor, Windsurf, Gemini, Qoder Work, OpenClaw, and Claude Desktop.
- Agents: quick-launch coding agents directly from the UI (gated on the CLI binary being on PATH).
- Assets: categorized, time-sorted browser with preview, open-locally, and delete.
- **Model catalog suggestion chips** — per-category model names surfaced as click-to-fill chips under each `default_*_model` field in the config UI.
- **Profiles tile grid** — profiles displayed as a tile grid with an add-tile and a design-consistent new-profile modal.
### Changed
- Config UI layout: collapsible grouped sidebar with icons and persistent state, responsive breakpoint, wider main area, sticky view headers, and right-side drawers for editing.
### Fixed
- Symlinked skill directories are now correctly identified as an installed source.
- Config file detection now supports environment-variable-based paths and legacy configuration schemes.
## [1.12.0] - 2026-07-28
### Added
- **`bl config agent --key` / `--region`** — run commands generated by the Model Studio web console as-is: `--key` accepts the console's encoded API key and decodes it locally (use instead of `--api-key`), and `--region` derives the Token Plan endpoint from a region name (use instead of `--base-url`).
- **`bl config agent --context-window`** — set the context window written to the OpenClaw configuration (default 256000).
- **`bl config agent --wire-api`** — choose the wire protocol written to the Codex configuration; `chat` is kept for legacy Codex 0.80.0 and earlier (a warning is shown).
### Changed
- `bl config agent` for Codex now writes `wire_api = "responses"` by default, matching current Codex releases that no longer accept `chat`.
- `bl config agent` for Qwen Code now writes the `DASHSCOPE_API_KEY` environment variable instead of `BAILIAN_CLI_API_KEY`.
### Fixed
- `bl config agent` configurations now match each agent's official format: Claude Code honors `CLAUDE_CONFIG_DIR` and removes a stale `ANTHROPIC_API_KEY`; Qwen Code uses the v3 settings schema and writes credentials so a system-level `OPENAI_API_KEY` no longer takes precedence; OpenCode accepts JSONC config files (comments and trailing commas); OpenClaw registers the primary model in the model allowlist with complete cost metadata; Hermes uses the official flat `model.*` layout; Codex writes the official `env_key` with an `auth.json` fallback.
- `bl config agent` now preserves existing user configuration when writing: it merges instead of overwriting, avoids duplicate provider entries, and keeps custom display names.
## [1.11.2] - 2026-07-28
### Changed
- MCP tools and WebSearch now provide activation guidance and direct marketplace links when Bailian reports that the corresponding service is not activated. WebSearch also guides users with legacy SSE connections to reactivate the service using Streamable HTTP.
### Fixed
- Fixed text chat and API Key validation compatibility failures caused by sending unsupported `enable_thinking` values. Text chat now sends the parameter only when thinking is explicitly enabled, while validation uses a compatible model without sending it.
## [1.11.1] - 2026-07-28
### Added
- `bl image edit` now supports `--function` for specifying edit operations with Wanx image-edit models such as `wanx2.1-imageedit`.
### Fixed
- Fixed image generation and editing failures and incorrect size parameters for some image models, improving compatibility with Qwen-Image, Wan/Wanx, Z-Image, and dated `wanx-v1` variants.
## [1.11.0] - 2026-07-28
### Added
- **`bl managed-agent`** — declaratively manage Managed Agent infrastructure through a unified CLI. The Bailian provider connects to AgentStudio, with Claude, Qoder, and Ark providers also supported:
- `init` / `validate` / `plan` / `apply` / `destroy` — initialize and validate `agents.yaml`, preview and apply resource changes, and destroy managed resources.
- `state list` / `state show` / `state rm` / `state import` — inspect and manage local resource state, including adopting an existing remote resource or removing it from local state without destroying it remotely.
- `session create` / `session list` / `session get` / `session delete` / `session run` / `session send` / `session events` — manage the full session lifecycle with streaming responses and structured `--output json` output.
- `skill-list` — browse custom and official skills; use `--source all` to return both catalogs in one call.
### Changed
- Model Base URLs are now normalized to the URL origin; paths, query parameters, and fragments supplied in the Base URL are no longer included when constructing API request paths.
### Fixed
- The installation guide no longer recommends the removed `--non-interactive` flag and now documents explicit required arguments, `--output json`, and `NO_COLOR=1` for non-interactive environments.
## [1.10.1] - 2026-07-22
### Changed
- Token Plan defaults now use the current text, image, and dedicated text-to-video, image-to-video, and reference-to-video models.
- The Bailian CLI Skill now distinguishes Bailian-specific tasks from ordinary host-agent work more accurately and avoids repeated consent prompts within an approved workflow.
- Published CLI packages now support Node.js 18.17 and later, lowering the previous minimum requirement from Node.js 22.12.
### Fixed
- Token Plan now handles local images correctly for image editing, image-to-video, reference-to-video, and vision understanding without requiring a separately hosted URL.
## [1.10.0] - 2026-07-19
### Added
- **`bl config agent`** — configure Claude Code, Qwen Code, OpenCode, OpenClaw, Hermes Agent, or Codex to use DashScope in one command.
### Changed
- The Bailian CLI Skill now routes only matching Bailian and multimodal tasks to `bl`, and asks for consent before provider-neutral remote or billable calls.
### Fixed
- Full `bl auth logout` now clears the model Base URL so later logins cannot inherit a stale custom or Token Plan endpoint.
## [1.9.0] - 2026-07-17
### Added
- **Token Plan support** — log in and call supported models directly without manually configuring the endpoint.
- **Named Config Profiles** — create, switch, and manage isolated configurations; logging in to a named Profile activates it automatically.
- **Console Access Token automation** — generate and automatically refresh Console Access Tokens.
- **`bl workspace init`** — initialize a Bailian workspace and activate the required services in one workflow.
### Fixed
- Improved configuration safety and consistency, including secret masking and preservation of custom configuration fields.
## [1.8.3] - 2026-07-16
### Fixed
- Fixed `bl text chat --messages-file -` failing on Windows by treating standard input as a `/dev/stdin` file path; piped JSON messages are now read from standard input correctly. (#103)
## [1.8.2] - 2026-07-15
### Changed
- `bl model list` now defaults to JSON output; pass `--output text` for the table view.
### Fixed
- `bl model list --enrich` now returns each model's input parameter schema (predictConfig); it was previously always empty because the console gateway response envelope was not unwrapped.
## [1.8.1] - 2026-07-14
### Changed
- Expanded the Command Pack allowlist to accept an additional internal command extension.
## [1.8.0] - 2026-07-13
### Added
- **`bl model list`** — browse the Bailian model marketplace: list model families or show full details for a single family (`--model`), with filters for provider, capability, feature, and context-window, pagination (`--page` / `--page-size`), pricing, and `--enrich` for richer metadata.
- **`bl usage summary`** — a unified usage view combining free-tier quota and a recent usage overview; `--days` sets the overview window (default 7).
- **Command Pack host support** — added support for allowlisted internal command extensions.
- **Audio & image fine-tuning** — `bl finetune audio create` (CosyVoice TTS) and `bl finetune image create` (Wan image generation) join the existing text flow. `bl finetune image create` supports `--generation-type t2i|i2i` to select text-to-image or image-to-image training.
- **Audio & image deployment** — `bl deploy audio create` and `bl deploy image create` deploy fine-tuned TTS and image models as endpoints.
- **Multimodal dataset validation** — `bl dataset upload` and `bl dataset validate` now accept `.zip` archives with `tts` and `image` schemas, validate referenced media files, and allow image archives up to 1 GB.
### Changed
- **Fine-tune and deploy commands are now split by modality (BREAKING)**: `bl finetune create``bl finetune text create`, and `bl deploy create``bl deploy text create`. Update any scripts that use the old paths.
- **Deployment option renamed (BREAKING)**: `--template-id``--deploy-spec` on deployment creation commands.
- **Fine-tune status exit behavior changed (BREAKING)**: `bl finetune watch` no longer reserves exit code 3 for running jobs. Running and succeeded jobs return 0; failed and canceled jobs use normal CLI errors.
- `bl deploy audio create` now defaults to `--plan mu` (model-unit billing, per the CosyVoice deployment contract); text and image continue to default to `lora`.
- `bl finetune audio create` now validates CosyVoice training data: audio files must be `.wav`, each `wav_fn` must start with `train/`, and exactly one training file is accepted.
- `bl quota list` and `bl quota check` now report real RPM/TPM usage against limits, adding `RPM Left` / `TPM Left` columns with remaining-quota progress bars sourced from monitoring data.
- `bl usage free` output now shares its rendering with `bl usage summary` for consistent free-tier tables.
- `bl advisor recommend` no longer depends on a dedicated intent-detection model to analyze your request.
### Removed
- **Removed the `tongyi-intent-detect-v3` integration (BREAKING)** used by `bl advisor recommend`, along with the `intent_detect_base_url` config field and the `DASHSCOPE_INTENT_DETECT_BASE_URL` environment variable.
### Fixed
- Skill command-reference generation now reads product command maps directly from source and produces stable formatting during release checks.
## [1.7.0] - 2026-07-09
### Added
- `bl auth login --open-api` now stores Alibaba Cloud OpenAPI AK/SK credentials for Token Plan commands; `bl auth status` reports API key, console, and OpenAPI credential state separately, and `bl auth logout --open-api` clears only OpenAPI credentials.
- `kscli` help and examples now render as Knowledge Studio paths such as `kscli search`, `kscli chat`, and `kscli retrieve`, matching the standalone CLI.
### Changed
- Token Plan commands now use the shared OpenAPI AK/SK credential flow, including persisted credentials and `ALIBABA_CLOUD_ACCESS_KEY_ID` / `ALIBABA_CLOUD_ACCESS_KEY_SECRET` environment variables.
- Auth flags are now scoped to the commands that can use them. Passing model, console, or OpenAPI credential flags to the wrong command now reports an unknown flag instead of being accepted and ignored.
- Help and command reference output now show only the flags that apply to each command's auth mode, making model, console, and OpenAPI credentials easier to distinguish.
- Missing required flags now return usage errors with exit code 2 instead of opening interactive prompts or printing help with exit code 0.
- Image, video, and speech task commands now use `--async` consistently for returning task IDs without waiting; `--concurrent` is shown only on commands that support parallel requests.
- Default command output is text unless `--output json`, `DASHSCOPE_OUTPUT=json`, or config explicitly requests JSON.
- Update checks are throttled to once per day and can surface in non-TTY/agent runs.
- Proxy setup now reads uppercase `HTTP_PROXY` / `HTTPS_PROXY` / `NO_PROXY` only; lowercase proxy environment variables are ignored.
- `bl auth login` no longer prints the onboarding quick start block after a successful login.
### Removed
- Deprecated AK/SK authentication for `bl knowledge retrieve`; use DashScope API key auth for knowledge commands.
- Removed `--no-color`, `--non-interactive`, and `--no-wait`. Use `NO_COLOR=1` for plain output and `--async` for task submission without waiting.
- Removed `--yes` and interactive confirmation prompts from delete/logout commands; use `--dry-run` to preview before running destructive operations.
### Fixed
- Credential-gated `--dry-run` paths now skip auth preflight so commands such as Token Plan can print request details without configured credentials.
- `--verbose` model requests again print request method, URL, auth source, and response status details.
## [1.6.1] - 2026-07-03
### Changed
- `bl vision describe` examples and skill reference now use `qwen3-vl-plus` instead of the legacy `qwen-vl-plus` model id, matching the command's default model.
## [1.6.0] - 2026-07-02
### Added
- `bl knowledge search` — semantic search across knowledge bases using the new workspace-based RAG API. Supports `--query`, `--agent-id`, `--workspace-id`, `--image` (multimodal retrieval, repeatable), and `--query-history` (JSON conversation context for multi-turn query rewriting).
- `bl knowledge chat` — knowledge-base Q&A with SSE streaming. Supports `--message` (repeatable, with `role:content` prefix for multi-turn history), `--agent-id`, `--workspace-id`, and `--image` (multimodal). Displays real-time progress with step-change labels (retrieval, planning, generation) in interactive mode.
- `bailian-cli-core` gains new types and endpoints for the workspace-based knowledge API: `KnowledgeSearchRequest` / `KnowledgeSearchResponse`, `KnowledgeChatRequest` / `KnowledgeChatStreamChunk` / `KnowledgeChatMessage` / `KnowledgeChatContentPart`, and `knowledgeSearchEndpoint` / `knowledgeChatEndpoint`.
- `kscli` now ships `search` and `chat` commands alongside the existing `retrieve`.
### Changed
- `bl knowledge retrieve` is now marked as deprecated in its description; use `bl knowledge search` instead.
- `kscli` README (EN + ZH) updated to feature `search` and `chat` as the primary commands, with `retrieve` marked deprecated.
## [1.5.0] - 2026-07-01
### Added
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# 更新日志
`bailian-cli` `bailian-cli-core` 的所有重要变更都记录在此。
`bailian-cli` 系列包的所有重要变更都记录在此。
格式遵循 [Keep a Changelog](https://keepachangelog.com/zh-CN/1.1.0/),版本号遵循 [语义化版本](https://semver.org/lang/zh-CN/spec/v2.0.0.html)。`bailian-cli``bailian-cli-core``bailian-cli-runtime``bailian-cli-commands` 共享一个版本号,总是一起发布
格式遵循 [Keep a Changelog](https://keepachangelog.com/zh-CN/1.1.0/),版本号遵循 [语义化版本](https://semver.org/lang/zh-CN/spec/v2.0.0.html)。`bailian-cli``bailian-cli-core``bailian-cli-runtime``bailian-cli-commands``knowledge-studio-cli` 共享一个版本号。
[English](CHANGELOG.md) · [README](README.zh.md) · [参与贡献](CONTRIBUTING.zh.md)
## [1.17.0] - 2026-08-18
### 新增
- **百炼原生 Managed Agent Deployment** —— `agents.yaml` 中声明的 `deployments` 现在会创建原生 AgentStudio 资源,支持服务端 Cron 调度、本地文件资源上传、通过 `destroy` 归档,以及在下次 `apply` 时迁移旧版模拟 Deployment state。
- **CLI 中英文体验** —— 可通过 `bl config set` 或 Config UI 将 `language` 设置为 `en-US``zh-CN`,在英文和中文的 CLI Help、Quick Start、命令示例及 Config UI 之间切换;所选语言跟随当前激活的配置。
### 修复
- **Free Tier Auto-Stop 控制** —— `bl usage freetier --off` 现在可在免费额度尚有剩余时关闭 Auto-Stop状态展示会反映实际开关状态并仅查询筛选后的模型避免触发服务端批量查询上限。
## [1.16.0] - 2026-08-17
> CLI 迎来知识库全生命周期管理:从创建配置知识库、上传文档、调优切片,到部署检索/问答服务,均可通过 `bl knowledge` 与 `kscli` 完成。
### 新增
- **知识库管理** —— `bl knowledge create` / `list` / `info` / `update` / `delete` 覆盖知识库的完整生命周期;`bl knowledge stats` 查询指定过去时间段内的文档数量与用量统计。
- **文档管理** —— `bl knowledge doc upload` 支持上传本地文件或整个目录(递归扫描,自动跳过不支持的格式及 `node_modules` 等工具目录);`doc list` / `status` / `tag` / `delete` 覆盖文档生命周期其余环节,`doc import-oss` 支持从 OSS 导入文档。
- **检索 / 问答服务管理** —— `bl knowledge service list` / `get` / `create` / `update` / `deploy` / `delete` / `copy` 管理检索与问答服务配置,支持将草稿部署为正式版本。
- **切片管理** —— `bl knowledge chunk add` / `list` / `update` / `delete` 查看并精调文档切片。
- **数据中心管理** —— `bl knowledge category list` / `add` / `delete``bl knowledge file list` / `get` / `delete``bl knowledge collection create` / `get` 管理类目、原始文件与数据集。
- **检索与问答支持指定服务版本** —— `bl knowledge search``bl knowledge chat` 新增 `--agent-version`,可调用 beta草稿配置进行调试或指定已发布的版本号。
- **`kscli` 同步支持** —— 全部新知识库命令在 Knowledge Studio CLI 中以更短路径提供,如 `kscli kb list``kscli doc upload``kscli service deploy`
### 移除
- **移除 `bl knowledge search --query-history`** —— 该参数此前并未实际生效;多轮场景请改用 `bl knowledge chat` 并通过 `--message` 传入对话历史。
### 内部
- 请求现在携带静态的 OpenAPI 来源标识请求头,用于后端渠道归因。
- 新增知识库 E2E 测试套件,含冷启动、内容运营、切片调优、服务调优、数据面五条用户旅程场景。
## [1.15.1] - 2026-08-17
### 新增
- **模型权限管理** —— `bl permission list` 查看各模型的推理 / 微调 / 部署授权;`bl permission grant``bl permission revoke` 负责授予和回收,支持 `--all` 一键为工作区全部模型(含后续新增模型)开启推理授权。
### 变更
- **`bl quota request` 更名为 `bl quota update`** —— 通过 `--rpm`/`--tpm` 设置单模型 QPM/TPM新增 `--delete` 一键清除自定义限制;未指定的字段保持当前值,旧命令 `quota request` 仍作为别名可用。
- **`bl quota list` 重构** —— 改从模型限制接口读取数据,单表展示模型级与工作区级的请求/用量限制及异步队列/并发限制。
- **`bl model list` 不再需要控制台登录** —— 模型目录与 `--enrich` 参数结构端点均为公开接口。
- **`bl skill init` 输出精简** —— 单技能状态改为 `success`/`failed`(原为 `installed`),新增 `success`/`partial`/`failed` 汇总结果;移除 `publishedAt``agents` 字段。
## [1.15.0] - 2026-08-14
### 新增
- **`bl text chat` 支持 Responses API** —— 可通过 `--api responses` 调用 DashScope Responses API支持流式输出、工具定义和结构化 JSON 输出;默认仍使用 Chat Completions。
- **订阅套餐用量视图** —— `bl usage token-plan` 支持查看 5 小时和每周额度,`bl usage coding-plan` 支持查看 5 小时、每周和每月额度;两者均提供文本与 JSON 输出。
- **命令帮助展示鉴权要求** —— Help 输出现在会明确标注命令需要 API Key、控制台登录还是阿里云 OpenAPI 凭证。
### 变更
- **扩展语音识别模型支持** —— `bl speech recognize` 现在会将异步文件转写和同步 Flash ASR 模型路由至对应的 DashScope API并为暂不支持的实时模型提供明确提示。
- **增强 MCP 传输兼容性** —— MCP 命令现在可为兼容的百炼及自定义端点从 Streamable HTTP 自动回退至经典 SSE。
### 修复
- 二进制方式升级 CLI 成功后,现在会同步刷新已安装的 Agent Skills。
- 修复 Token Plan 额度不可用或缺少重置时间时的展示问题。
- 修复 Qwen3 文件转写结果处理,使等待模式和 `--out` 能够正常工作。
- 修复 MCP SSE 分块解析、响应头超时、中止清理和回退状态匹配问题。
- JSON 输出中的网络错误现在会在 `cause.code` 中保留 errno。
## [1.14.3] - 2026-08-12
### 修复
- **免费额度兼容性** —— `bl usage free``bl usage freetier` 现在使用最新的 Bailian Commerce 控制台 API 查询、开通和关闭免费额度,并统一处理异步任务轮询。
## [1.14.2] - 2026-08-07
### 新增
- **`bl skill init`** —— 一次性将全部官方 `bailian-*` Skill 安装到本机检测到的 AI Agent。
### 变更
- **Skill 命令接口** —— Skill 管理命令现在默认输出适合 Agent 工作流的 JSON`bl skill add``bl skill update` 使用明确的 `--all``--name` 选择参数。
## [1.14.1] - 2026-08-05
### 新增
- **百炼 Skill 按领域拆分** —— 通过 `npx skills add modelstudioai/cli --all -g` 可统一安装图片与视频生成、模型微调、Managed Agent 和共享执行协议等专用 Skill提升任务路由准确性并减少无关上下文。
### 变更
- **默认图片模型升级至 Qwen-Image 3.0** —— 普通 API Key 用户的图片生成、图片编辑、Pipeline、配置 UI 和相关文档现在默认使用 `qwen-image-3.0`
- **扩展 Coding Agent 兼容范围** —— Skill 安装与更新现在能够识别更多 Coding Agent保留已有安装链接并自动将 Skill 补充到新识别的 Agent。
## [1.14.0] - 2026-08-04
### 新增
- **免 Node.js 的二进制安装** — 支持 macOS Apple Silicon / Intel、Linux x64 和 Windows x64npm 安装方式继续保留。
- **指定版本更新** — 二进制和 npm 安装均可通过 `bl update --to <version>` 更新或切换到指定版本。
### 变更
- **二进制自更新** — 二进制安装现在通过独立的发布通道检查和下载更新;执行 `bl update` 时不会覆盖正在运行的程序,下次运行自动使用新版本。
## [1.13.1] - 2026-08-03
### 变更
- **默认文本模型升级至 Qwen3.8-Max** — `bl text chat`、Pipeline、API Key 登录校验、配置 UI 和 Managed Agent 初始化模板现在默认使用 `qwen3.8-max`Token Plan 也由预览版切换至正式版。
## [1.13.0] - 2026-07-30
### 新增
- **`bl config ui` 技能 / MCP / 代理 / 资产清单** — 在本地 Web UI 中浏览已安装的技能、MCP 服务器、编码代理和生成的资产,点击打开右侧详情抽屉:
- 技能:将 `SKILL.md` 渲染为 Markdown支持 GFM 表格),展示本地/远程来源徽章,支持上传 `.zip` 压缩包将技能安装到任意受支持代理的技能目录。
- MCP查看和编辑 JSON 配置,支持密钥掩码与掩码保真写回;支持在 Claude Code、Qwen Code、OpenCode、Cursor、Windsurf、Gemini、Qoder Work、OpenClaw 和 Claude Desktop 中创建、更新、删除 MCP 条目。
- 代理:从 UI 一键启动编码代理(需对应 CLI 二进制在 PATH 中)。
- 资产:按类别分组、按时间排序的浏览器,支持预览、本地打开和删除。
- **模型目录建议芯片** — 在配置 UI 的每个 `default_*_model` 字段下方展示按类别分组的模型名称,点击即可填入。
- **Profile 磁贴网格** — 配置文件以磁贴网格展示,新增添加磁贴和设计一致的新建 Profile 弹窗。
### 变更
- 配置 UI 布局:可折叠分组侧边栏(带图标和持久化状态)、响应式断点、更宽的主区域、吸顶视图标题、右侧抽屉式编辑。
### 修复
- 修复软链接技能目录未被正确识别为已安装来源的问题。
- 配置文件检测现支持基于环境变量的路径和旧版配置方案。
## [1.12.0] - 2026-07-28
### 新增
- **`bl config agent --key` / `--region`** —— 百炼控制台生成的命令可直接运行:`--key` 接收控制台编码后的 API Key 并在本地解码(与 `--api-key` 二选一);`--region` 根据地域名自动派生 Token Plan 接入地址(与 `--base-url` 二选一)。
- **`bl config agent --context-window`** —— 设置写入 OpenClaw 配置的上下文窗口大小(默认 256000
- **`bl config agent --wire-api`** —— 选择写入 Codex 配置的通信协议;`chat` 仅保留给 Codex 0.80.0 及更早版本(会显示警告)。
### 变更
- `bl config agent` 配置 Codex 时默认写入 `wire_api = "responses"`,以适配已不再支持 `chat` 的新版 Codex。
- `bl config agent` 配置 Qwen Code 时改用 `DASHSCOPE_API_KEY` 环境变量,不再使用 `BAILIAN_CLI_API_KEY`
### 修复
- `bl config agent` 写入的配置现已与各 Agent 官方格式对齐Claude Code 尊重 `CLAUDE_CONFIG_DIR` 并清理残留的 `ANTHROPIC_API_KEY`Qwen Code 采用 v3 配置 schema 并正确写入凭证,避免被系统级 `OPENAI_API_KEY` 干扰OpenCode 支持带注释和尾部逗号的 JSONC 配置文件OpenClaw 会将主模型注册进模型白名单并补齐计费元数据Hermes 改用官方扁平 `model.*` 结构Codex 写入官方 `env_key` 并支持 `auth.json` 兜底。
- `bl config agent` 写入配置时现会保留用户已有配置:合并而非覆盖,避免重复添加 provider 条目,并保留用户自定义的显示名。
## [1.11.2] - 2026-07-28
### 变更
- MCP 工具或 WebSearch 因对应服务未开通而不可用时CLI 现在会提供开通指引和市场直达链接;对于使用旧版 SSE 连接的 WebSearch还会提示重新开通以切换至 Streamable HTTP。
### 修复
- 修复文本对话与 API Key 登录校验因传递不受支持的 `enable_thinking` 参数值而产生的兼容性错误。文本对话仅在用户明确开启思考模式时传递该参数,登录校验则改用兼容模型且不再传递该参数。
## [1.11.1] - 2026-07-28
### 新增
- `bl image edit` 新增 `--function` 参数,支持为万相图片编辑模型(如 `wanx2.1-imageedit`)指定编辑功能。
### 修复
- 修复部分图片模型在图片生成与编辑时的调用失败和尺寸参数错误,并完善 Qwen-Image、Wan/Wanx、Z-Image 系列及 `wanx-v1` 日期版本的兼容性。
## [1.11.0] - 2026-07-28
### 新增
- **`bl managed-agent`** —— 通过统一 CLI 声明式管理 Managed Agent 基础设施;百炼 Provider 对接 AgentStudio并支持 Claude、Qoder 和 Ark
- `init` / `validate` / `plan` / `apply` / `destroy` —— 基于 `agents.yaml` 初始化、校验、预览和执行资源变更,以及销毁已托管资源。
- `state list` / `state show` / `state rm` / `state import` —— 查看和管理本地资源状态,包括纳管已有远端资源或仅解除本地跟踪。
- `session create` / `session list` / `session get` / `session delete` / `session run` / `session send` / `session events` —— 完整的会话生命周期操作,支持流式响应和结构化的 `--output json` 输出。
- `skill-list` —— 浏览自定义与官方 Skill使用 `--source all` 可一次返回两个来源。
### 变更
- 模型 Base URL 现在统一仅保留 URL Origin传入的路径、查询参数和 Fragment 不再参与后续 API 请求路径拼接。
### 修复
- 安装指南不再推荐已移除的 `--non-interactive`,改为说明显式传入必填参数,并使用 `--output json``NO_COLOR=1` 适配非交互环境。
## [1.10.1] - 2026-07-22
### 变更
- Token Plan 默认模型已更新为当前文本、图片,以及文生视频、图生视频和参考生视频的专用模型。
- 百炼 CLI Skill 现在能更准确地区分百炼专属任务与普通宿主 Agent 任务,并避免在已授权的工作流中重复征求同意。
- 已发布的 CLI 包现在支持 Node.js 18.17 及以上版本,最低版本要求由 Node.js 22.12 下调至 18.17。
### 修复
- Token Plan 现在能在图片编辑、图生视频、参考生视频和视觉理解中正确处理本地图片,无需另行托管为 URL。
## [1.10.0] - 2026-07-19
### 新增
- **`bl config agent`** —— 一键配置 Claude Code、Qwen Code、OpenCode、OpenClaw、Hermes Agent 和 Codex 接入百炼模型服务。
### 变更
- 百炼 CLI Skill 现在只将匹配的百炼任务与多模态任务路由到 `bl`,并会在调用与平台无关的远程或计费能力前征求同意。
### 修复
- 完整执行 `bl auth logout` 时会同时清除模型 Base URL避免后续登录继承失效的自定义或 Token Plan 接入地址。
## [1.9.0] - 2026-07-17
### 新增
- **支持 Token Plan** —— 登录后即可直接调用支持的模型,无需手动配置接入地址。
- **命名 Config Profile** —— 支持创建、切换和管理相互隔离的配置,登录后会自动激活当前 Profile。
- **Console Access Token 自动化** —— 支持生成并自动刷新 Console Access Token。
- **`bl workspace init`** —— 一站式完成百炼工作空间初始化和所需服务开通。
### 修复
- 提升配置安全性与一致性,包括密钥脱敏和自定义配置字段保留。
## [1.8.3] - 2026-07-16
### 修复
- 修复 Windows 上 `bl text chat --messages-file -` 将标准输入当作 `/dev/stdin` 文件路径读取的问题;通过管道传入的 JSON 消息现在可以从标准输入正常读取。(#103
## [1.8.2] - 2026-07-15
### 变更
- `bl model list` 现在默认以 JSON 输出;需要表格视图请传 `--output text`
### 修复
- `bl model list --enrich` 现在能正确返回每个模型的输入参数 schemapredictConfig此前因未解包控制台网关响应信封而始终为空。
## [1.8.1] - 2026-07-14
### 变更
- 扩展 Command Pack 白名单,允许加载额外的内部命令扩展。
## [1.8.0] - 2026-07-13
### 新增
- **`bl model list`** —— 浏览百炼模型市场:列出模型家族,或用 `--model` 查看单个家族的完整详情;支持按 provider、能力、特性、上下文窗口过滤分页`--page` / `--page-size`)、价格展示,以及 `--enrich` 获取更丰富的元数据。
- **`bl usage summary`** —— 统一用量视图,一屏合并免费额度与近期用量概览;`--days` 设置概览时间窗口(默认 7 天)。
- **Command Pack 宿主支持** —— 新增面向白名单内部命令扩展包的加载能力。
- **音频与图像精调** —— 在原有文本流程之外新增 `bl finetune audio create`CosyVoice 语音合成)与 `bl finetune image create`(万相图像生成)。`bl finetune image create` 支持 `--generation-type t2i|i2i` 显式选择文生图或图生图训练。
- **音频与图像部署** —— `bl deploy audio create``bl deploy image create` 可将精调后的语音合成与图像模型部署为推理接入点。
- **多模态数据集校验** —— `bl dataset upload``bl dataset validate` 现在支持使用 `tts``image` schema 的 `.zip` 压缩包,可校验包内引用的媒体文件,图像数据压缩包上限提升至 1 GB。
### 变更
- **精调与部署命令按模态拆分BREAKING**`bl finetune create``bl finetune text create``bl deploy create``bl deploy text create`。请更新使用旧路径的脚本。
- **部署参数重命名BREAKING**:部署创建命令的 `--template-id` 更名为 `--deploy-spec`
- **精调状态退出行为变更BREAKING**`bl finetune watch` 不再使用退出码 3 表示任务运行中;运行中与成功均返回 0失败与取消使用 CLI 的常规错误流程。
- `bl deploy audio create` 默认使用 `--plan mu`(按模型单元计费,符合 CosyVoice 部署契约);文本与图像仍默认 `lora`
- `bl finetune audio create` 现在会校验 CosyVoice 训练数据:音频必须为 `.wav`,每条 `wav_fn` 必须以 `train/` 开头,且只接受一个训练文件。
- `bl quota list``bl quota check` 现在会基于监控数据展示真实的 RPM/TPM 用量与限额,新增 `RPM Left` / `TPM Left` 列及剩余额度进度条。
- `bl usage free` 的输出现在与 `bl usage summary` 共用渲染逻辑,免费额度表格更一致。
- `bl advisor recommend` 不再依赖独立的意图识别模型来分析你的需求。
### 已移除
- **移除 `bl advisor recommend` 使用的 `tongyi-intent-detect-v3` 集成BREAKING**,同时移除 `intent_detect_base_url` 配置字段与 `DASHSCOPE_INTENT_DETECT_BASE_URL` 环境变量。
### 修复
- Skill 命令参考文档生成现在直接读取产品命令源码,并在发布检查中保持稳定格式。
## [1.7.0] - 2026-07-09
### 新增
- `bl auth login --open-api` 现在可以保存阿里云 OpenAPI AK/SK 凭据,供 Token Plan 命令使用;`bl auth status` 会分别展示 API Key、控制台和 OpenAPI 凭据状态,`bl auth logout --open-api` 可只清除 OpenAPI 凭据。
- `kscli` 的 help 与示例现在展示为 `kscli search``kscli chat``kscli retrieve` 等 Knowledge Studio 独立入口路径。
### 变更
- Token Plan 命令统一使用 OpenAPI AK/SK 凭据流程,支持登录持久化凭据和 `ALIBABA_CLOUD_ACCESS_KEY_ID` / `ALIBABA_CLOUD_ACCESS_KEY_SECRET` 环境变量。
- 鉴权 flag 现在只对可使用它们的命令生效。把模型、控制台或 OpenAPI 凭据 flag 传给错误的命令时,现在会报 unknown flag而不是接受后忽略。
- help 与命令参考现在只展示当前命令鉴权域适用的 flag更容易区分模型、控制台和 OpenAPI 凭据。
- 缺少必填 flag 时现在返回用法错误并以退出码 2 退出,不再进入交互式补全或打印 help 后以退出码 0 退出。
- 图片、视频、语音任务类命令现在统一用 `--async` 表示提交任务后不等待;`--concurrent` 只在支持并发请求的命令上展示。
- 命令默认输出为文本;仅在显式设置 `--output json``DASHSCOPE_OUTPUT=json` 或配置文件要求 JSON 时输出 JSON。
- 更新检查节流调整为每天一次,并可在非 TTY / agent 场景展示更新提示。
- 代理配置现在只读取大写 `HTTP_PROXY` / `HTTPS_PROXY` / `NO_PROXY`,忽略小写代理环境变量。
- `bl auth login` 成功后不再额外打印 onboarding quick start 内容。
### 已移除
- 移除 `bl knowledge retrieve` 已废弃的 AK/SK 鉴权;知识库命令请使用 DashScope API Key。
- 移除 `--no-color``--non-interactive``--no-wait`。纯文本输出使用 `NO_COLOR=1`,提交任务后不等待使用 `--async`
- 移除删除 / 登出类命令的 `--yes` 与交互式确认提示;执行破坏性操作前请用 `--dry-run` 预览。
### 修复
- 需要凭据的 `--dry-run` 路径现在会跳过鉴权前置检查,例如 Token Plan 可在未配置凭据时先打印请求信息。
- `--verbose` 的模型请求日志恢复输出请求方法、URL、鉴权来源与响应状态等信息。
## [1.6.1] - 2026-07-03
### 变更
- `bl vision describe` 的示例与 skill 参考文档中的模型 id 由旧版 `qwen-vl-plus` 更新为 `qwen3-vl-plus`,与命令默认模型保持一致。
## [1.6.0] - 2026-07-02
### 新增
- `bl knowledge search` — 基于新版 workspace RAG API 的知识库语义检索。支持 `--query``--agent-id``--workspace-id``--image`(多模态检索,可重复)和 `--query-history`(多轮对话上下文 JSON用于查询重写
- `bl knowledge chat` — 知识库 SSE 流式问答。支持 `--message`(可重复,支持 `角色:内容` 前缀传入多轮历史)、`--agent-id``--workspace-id``--image`(多模态)。交互模式下实时展示检索、规划、生成等步骤进度。
- `bailian-cli-core` 新增 workspace 级知识 API 类型与端点:`KnowledgeSearchRequest` / `KnowledgeSearchResponse``KnowledgeChatRequest` / `KnowledgeChatStreamChunk` / `KnowledgeChatMessage` / `KnowledgeChatContentPart`,以及 `knowledgeSearchEndpoint` / `knowledgeChatEndpoint`
- `kscli` 现已包含 `search``chat` 命令。
### 变更
- `bl knowledge retrieve` 描述中已标记为废弃,请改用 `bl knowledge search`
- `kscli` README中英文更新`search``chat` 为主推命令,`retrieve` 标记为废弃。
## [1.5.0] - 2026-07-01
### 新增
+2 -7
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@@ -6,7 +6,8 @@ Developer guide for `bailian-cli` — the official CLI for Aliyun Model Studio (
## Prerequisites
- Node.js ≥ 22.12
- Node.js ≥ 22.12 (required for developing this repo)
- End users installing the published CLI only need Node.js >= 18.17
- pnpm 10.33.2 (`npm i -g pnpm@10.33.2`)
- A DashScope API key for running e2e tests
@@ -33,13 +34,7 @@ pnpm install
### Running the CLI from source
Open two terminals:
```bash
# Terminal 1 — watch-build core
pnpm dev
# Terminal 2 — run any bl command
pnpm bl auth login --api-key sk-xxxxx
pnpm bl text chat --message "hello"
pnpm bl video generate --prompt "a cat walking"
+3 -8
View File
@@ -6,8 +6,9 @@
## 环境要求
- Node.js ≥ 22.12
- pnpm 10.33.2(`npm i -g pnpm@10.33.2`)
- 参与本仓库开发:Node.js ≥ 22.12
- 仅安装/使用已发布的 CLINode.js >= 18.17
- pnpm 10.33.2`npm i -g pnpm@10.33.2`
- 跑 e2e 需要一个百炼 API Key
## 仓库结构
@@ -33,13 +34,7 @@ pnpm install
### 从源码运行 CLI
开两个终端:
```bash
# 终端 1 —— core watch 重建
pnpm dev
# 终端 2 —— 跑任意 bl 命令
pnpm bl auth login --api-key sk-xxxxx
pnpm bl text chat --message "你好"
pnpm bl video generate --prompt "一只走路的猫"
+66 -73
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@@ -1,117 +1,110 @@
# 阿里云百炼CLI 安装说明(供 AI Agent 阅读)
本文档面向 **AI Agent**:按下列步骤为用户安装并校验 **阿里云百炼CLI**npm 包名 `bailian-cli`命令 `bl` / `bailian`)。用户通常通过 **npm 全局安装** 使用,**无需**访问本仓库源码。不要臆造版本号或路径;以用户环境为准。
本文档面向 **AI Agent**:按下列步骤为用户安装并校验 **阿里云百炼CLI**(命令 `bl` / `bailian`)。**优先**在已有 Node.js**≥ 18.17.0**)的环境用 npm 安装;若没有可用 Node / npm再走二进制一键安装。不要臆造版本号或路径;以用户环境为准。
## 1. 安装前检查
## 1. 推荐npm 安装(要求 **≥ 18.17.0**
**原则**:先执行检查;若 **Node / 包管理器 / 网络** 任一不满足下文要求Agent 应 **在本机终端内主动完成安装或配置**(例如升级 Node、切换镜像、配置 `npm` 代理等),再继续 `bailian-cli` 安装。仅在无权限或环境无法自动化时,再向用户说明原因并请其配合
1. **Node.js**
- 要求 **≥ 22.12.0**,执行 `node -v` 确认。
- 未安装或版本不足:由 Agent 自行安装或升级 Node。
2. **npm****唯一**允许的包管理器)
- 执行 `npm -v` 确认可用。
- 未安装或不可用:由 Agent **安装或修复 npm**(不要改用 pnpm/yarn 装 `bailian-cli`),再执行 `npm install -g bailian-cli`
- 即使本机已安装 `pnpm``yarn` 等,**也仅用于其它项目**;装 `bailian-cli` 时仍必须用 `npm`
3. **网络**
- 需能访问 npm registry默认 **registry.npmjs.org**)。
- 不可达:由 Agent 自行配置镜像或代理后重试。
---
## 2. 安装 CLI 与 Skills
**仅允许以下命令**(不要用 `pnpm add -g``yarn global add` 等)。按顺序执行,上一步通过后再进行下一步。
**2.1 安装 CLI**
1. `node -v` 确认版本 ≥ 18.17.0
2. `npm -v` 确认可用(**仅允许 npm** 全局安装,不要用 pnpm/yarn
3. 执行:
```bash
npm install -g bailian-cli
```
安装成功后,应能在 PATH 中找到:
4. 校验:`bl --version`
- `bl`(短别名)
- `bailian`(全名)
**校验**Agent 应执行并检查退出码与输出):
安装 skillsCLI 内置,无需 Git / npx skills
```bash
bl --version
which bl # Windows 可用 where bl
bl skill init
```
`command not found`:检查全局 bin 是否在 PATH`npm config get prefix`,其下 `bin` 目录应加入 PATH)。
**Supported** `bl skill init` 一次装齐 registry 中全部 `bailian-*`(含共享协议 `bailian-protocol`)。
**2.2 安装 Skills**
CLI 校验通过后,在本机终端执行:
**Advanced / 按需子集:**
```bash
npx skills add modelstudioai/cli --all -g
bl skill add --name bailian-protocol,bailian-gen
```
安装成功后,用中文简要说明已安装的 skills 及用户可做什么。
## 2. 备选:二进制安装(无需 Node
当环境没有 Node / npm或 Node 版本过低无法走 npm 时,使用二进制安装脚本。脚本安装 CLI 成功后会自动执行 `bl skill init`
```bash
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
```
可选:正式安装读 CDN 上的 `manifest.json`。预发 / channel 验证一律读 `sync-release.json`bailian-cli 的 channel 发版都会覆盖它):
```bash
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash -s -- --channel sync-release
```
也可用 `--version` / `--cdn`(或环境变量 `BAILIAN_CLI_CDN`)覆盖资源根。安装脚本本身不在本仓库维护。
Windows PowerShell
```powershell
# 正式manifest.json
irm https://bailian.aliyun.com/cli/install.ps1 | iex
# channel / 预发验证sync-release.json
$env:BAILIAN_CHANNEL = 'sync-release'; irm 'https://bailian.aliyun.com/cli/install.ps1' | iex
```
带其它参时先落盘再执行(`irm | iex` 不便传参),或使用仓外静态资源文档中的预发入口。
二进制安装布局为 `versions/<ver>/` + `current` 指针;`bl update` 只切换指针并清理旧版本(保留当前与上一版)。更新进程退出后,下次执行 `bl` 即使用新版本(无需「重启应用」)。
校验:
```bash
bl --version
which bl # Windows: where.exe bl
```
若自动 skill 安装失败,再手动执行:`bl skill init`
> CDN / GitHub Release 未就绪或下载失败时,若本机已有合格 Node回退到上方 npm 安装。
---
## 3. 鉴权(安装后必做才能调 API
### 推荐:浏览器登录(控制台会话)
适用于本机交互式安装,无需用户手动复制 API Key
1. 执行 `bl auth status --output json`,判断是否已配置。
2. 若未配置,在**用户本机终端**执行 `bl auth login --console`;命令会拉起浏览器完成阿里云控制台登录授权
2. 若未配置,在**用户本机终端**执行 `bl auth login --console`
3. 登录成功后执行 `bl auth status --output json` 确认;汇报时只使用 masked 字段,**禁止**回显完整凭据。
> 此方式同时打通 `app list`、`usage free` 等控制台能力,并自动配置 API Key 调用所需的鉴权信息。
### 备选API Key / Token Plan
### 备选:由 Agent 引导用户输入 API Key 后登录
适用于无法拉起浏览器的对话式安装(远程 SSH、CI 调试、纯终端环境等):
- 获取入口:[百炼控制台 API Key](https://bailian.console.aliyun.com/cn-beijing/?tab=app#/api-key)
1. 执行 `bl auth status --output json`,判断是否已配置。
2. 若未配置或后续 API 校验失败,**请用户粘贴 API Key**(可说明从上述控制台复制;勿要求用户发到公开渠道)。
3. 用户提供了 Key 之后,在**用户本机终端**执行Agent 用终端工具跑,勿把 Key 写进回复正文):`bl auth login --api-key <用户提供的_Key>`
4. 登录成功后执行 `bl auth status --output json` 确认;汇报时只使用 masked 字段,**禁止**回显完整 Key。
### 其他方式
- **环境变量**(不落盘到配置文件):在 shell 中配置 API Key 环境变量;变量名见 `bl auth status --help`,勿在对话中向用户解释底层命名。
- **写入配置文件**(持久化,与 `auth login` 落盘相同):`bl config set --key api_key --value <key>``--key api-key` 亦可)。**不会**像 `bl auth login --api-key` 那样先校验 Key 是否可用Agent 引导安装时仍**优先**用 `auth login`
- **命令行临时传入**:需要 API Key 的 `bl` 子命令可在**当次**执行附加全局 `--api-key <key>`,仅本次生效、不落盘(例:`bl text chat --api-key sk-xxx --message "你好"`)。与上文持久化方式不是同一用途。
- 普通 Key`bl auth login --api-key <Key>`
- Token Plan`bl auth login --config token-plan --api-key <Key>`
### Agent 安全约束
- **禁止**把真实 API Key 写入仓库、日志、Skill、聊天记录的可公开部分。
- CI / 非交互环境:使用 `bl ... --non-interactive`通过密钥管理或环境变量注入,勿在脚本中硬编码 Key。
- CI / 非交互环境:显式传入必填参数并使用 `--output json` 获取机器可读结果;如需纯文本输出,设置 `NO_COLOR=1`通过密钥管理或环境变量注入,勿在脚本中硬编码 Key。
---
## 4. 最小功能验证
在鉴权配置完成后执行:
## 4. 配置验证
```bash
bl auth status --output json
bl text chat --message "ping" --non-interactive --output json
```
若失败:根据 stderr / JSON 中的 `hint``message` 排查网络、Key 无效、`base_url`。DashScope 端点:使用 `--base-url` / `bl config set --key base_url` / `DASHSCOPE_BASE_URL`,默认中国大陆 `https://dashscope.aliyuncs.com`
## 5. 常见问题
---
## 5. 常见问题Agent 排障清单)
| 现象 | 可能原因 | 建议动作 |
| ----------------------- | -------------------- | --------------------------------------------------------------- |
| `bl: command not found` | 全局 bin 不在 PATH | 检查 `npm prefix -g` 与 PATH |
| 安装报错 engines | Node 版本过低 | 升级到 ≥ 22.12 |
| 401 / 鉴权失败 | 未 login 或 Key 无效 | 引导用户更新 Key 并 `bl auth login --api-key` |
| 企业网络无法访问 npm | 代理 / 镜像 | 配置 registry 或代理后再装 |
| 本机只有 pnpm、没有 npm | Agent 误用 pnpm 安装 | 先装/修好 **npm**,再用 `npm install -g bailian-cli`;勿用 pnpm |
| 现象 | 可能原因 | 建议动作 |
| ------------------------ | ---------------------------- | ------------------------------------------------ |
| `bl: command not found` | bin 不在 PATH | 检查 `~/.local/bin``npm prefix -g` |
| curl 安装 404 | GitHub Release 资产未上传 | 改用 `npm install -g bailian-cli` |
| Windows `bl update` 失败 | 旧布局 / 文件锁 / 网络 | 重跑 `irm .../install.ps1 \| iex` 迁移布局后重试 |
| `plugin` 需要 npm | 二进制安装无本机 npm | 安装 Node或改用 npm 版 CLI |
| 安装报错 engines | Node 版本过低(仅 npm 路径) | 升级到 ≥ 18.17.0 |
+102 -114
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@@ -5,7 +5,7 @@
**The official command-line interface for Aliyun Model Studio (DashScope) AI Platform**
[![npm version](https://img.shields.io/npm/v/bailian-cli?color=0969da&label=npm)](https://www.npmjs.com/package/bailian-cli)
[![Node.js](https://img.shields.io/badge/node-%3E%3D22.12-brightgreen)](https://nodejs.org)
[![Node.js](https://img.shields.io/badge/node-%3E%3D18.17-brightgreen)](https://nodejs.org)
[![TypeScript](https://img.shields.io/badge/TypeScript-strict-3178c6)](https://www.typescriptlang.org)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE)
@@ -13,8 +13,9 @@
---
_Chat with Qwen, generate images & videos, understand images, call agents,_
_manage memory, search the web — all from your terminal._
_Chat with Qwen, generate and edit images and videos, understand images, synthesize_
_and recognize speech, call apps, manage memory, retrieve knowledge, search the web —_
_every AI capability, one command away._
_Built for AI Agents. Every command works as a structured tool call._
@@ -22,27 +23,16 @@ _Built for AI Agents. Every command works as a structured tool call._
## Features
Equip your AI Agent out-of-the-box with these capabilities, composable across complex tasks:
- **Model generation** — Full-modality generation across text, image, video, and speech, with editing and reference-based generation
- **Asset understanding** — Parse and ask questions about images, documents, audio, and long videos
- **App orchestration** — Call Managed Agents, agents, and workflows published on Aliyun Model Studio, wired to knowledge bases, memory, web search, and MCP tools
- **Training & deployment** — Validate and upload datasets, fine-tune models, deploy dedicated models as endpoints
- **Account operations** — Login, UI-based configuration, model marketplace, usage and quota, rate-limit increases, team seat management
- **Plan onboarding** — Connect subscription plans such as Token Plan to the CLI and common coding agents in one step
- **Text chat** — Qwen3.7-max: major gains in agentic coding, frontend coding, and vibe coding
- **Multimodal (Omni)** — Full omni-modal support across text + image + audio + video
- **Image generation & editing** — Qwen-Image 2.0: pro text rendering, photorealism, strong semantic adherence, multi-image composition
- **Video generation & editing** — happyhorse-1.1 series: text-/image-/reference-to-video and natural-language video editing (up to 9-image reference)
- **Speech synthesis & recognition** — CosyVoice streaming TTS, voice cloning from 520s samples; FunAudio-ASR covers 30 languages including 7 Chinese dialects and 20+ Mandarin accents
- **Image & video understanding** — Qwen-VL: long-form video analysis, chart/document parsing, visual reasoning, multilingual OCR
> **Note:** App orchestration, training & deployment, account operations, and plan onboarding are currently available only to China site (aliyun.com) account holders and are not yet supported for international / global site accounts.
> **Note:** The features below are currently available only to China site (aliyun.com) account holders and are not yet supported for international / global site accounts.
- **Knowledge base & memory** — Multimodal RAG retrieval and cross-session memory for personalized, coherent dialogue
- **App calls** — Invoke agents and workflows already published on Aliyun Model Studio
- **MCP integration** — Orchestrate Bailian MCP servers: list services, inspect tools, and invoke any tool directly from the terminal
- **Web search** — Real-time internet retrieval for up-to-date, accurate answers
- **Model recommendation** — Describe your scenario and get best-fit model suggestions; supports scoped search, model comparison, and alternative discovery
- **Fine-tuning & deployment** — Upload datasets, create SFT/LoRA/DPO/CPT jobs (`finetune create`), probe job status non-blockingly (`finetune watch`), query per-model training capability (`finetune capability`), and deploy trained models as endpoints (`deploy create`)
- **Console capabilities** — Browse Bailian apps (`app list`), check free-tier quota (`usage free`), view model usage statistics (`usage stats`), manage workspaces (`workspace list`), and manage rate limits (`quota list/request/check/history`)
- **Local file auto-upload** — Every URL parameter accepts a local path; uploaded to free temp storage with 48-hour validity
## Showcase: One-Sentence Cinematic Video
## Showcase 1: A Cinematic Short Film from One Sentence
<p align="center">
<a href="https://cloud.video.taobao.com/vod/dS2F4huqbw5Nfe5L3wwb3grz2q2DNYD3retq8dU-iHo.mp4">
@@ -55,126 +45,114 @@ Equip your AI Agent out-of-the-box with these capabilities, composable across co
A complete **2-minute, 16:9 cinematic short film** — produced end-to-end from a single natural-language sentence, with **zero manual editing**. This showcase demonstrates how an AI Agent can compose a multi-step creative pipeline by orchestrating three primitives:
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** — the agentic coding model that interprets the user's intent and drives the workflow
- **[Aliyun Model Studio CLI](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)** — invokes **HappyHorse 1.1**, Aliyun Model Studio's text-/image-/reference-to-video generation model
- **[Aliyun Model Studio CLI](https://github.com/modelstudioai/cli/)** — invokes **HappyHorse 1.1**, Aliyun Model Studio's text-/image-/reference-to-video generation model
- **[spark-video Skill](https://github.com/JohnKeating1997/spark-video)** — handles scene decomposition, storyboarding, shot continuity, and final stitching
### The single prompt
> _"Generate a roughly 2-minute video in Japanese cinematic style — a sweet, innocent first-love story about a high-school girl. The plot should be heart-fluttering enough to make viewers want to fall in love. Aspect ratio: 16:9."_
>
> _(Original: "帮我生成一段日系影视风格高中女生的青涩初恋故事剧情高甜让人看了想谈恋爱2分钟左右的视频尺寸是16:9")_
### How it works
## Showcase 2: A Short-Film Director Managed Agent from One Sentence
1. **Qwen Code** parses the request, plans the narrative beats, and decides which tools to call.
2. The **spark-video Skill** breaks the story into shots, writes per-shot prompts, and enforces visual continuity (characters, lighting, palette, lens language).
3. **`bl video generate`** dispatches each shot to **HappyHorse 1.1** in parallel.
4. The skill stitches all clips back together into a single 16:9 / ~2-min deliverable.
<p align="center">
<a href="https://cloud.video.taobao.com/vod/2v0GYLbJSQb2saj4iopTJDW3iRIHsintYlK-wTKbhqE.mp4">
<img src="https://img.alicdn.com/imgextra/i4/6000000001674/O1CN01xhzixhxltbH3LxWu_!!6000000001674-0-tbvideo.jpg" alt="Click to play the demo video" width="720" />
</a>
</p>
No timeline scrubbing. No frame-by-frame editing. Just one sentence → one video.
<p align="center"><i>👆 Click the cover to play the full demo</i></p>
One sentence builds a reusable cloud-side short-film director for storyboarding, storyboard image generation, and video creation:
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** — understands the requirement and generates the agent configuration
- **[Aliyun Model Studio CLI](https://github.com/modelstudioai/cli/)** — validates the configuration, previews the changes, and completes the deployment
- **[Managed Agent](https://bailian.console.aliyun.com/cn-beijing/?tab=managed-agents#/managed-agents/quick-start)** — runs the director role along with its skills and tools in the cloud
### The single prompt
> _"Build me a Managed Agent app that can produce short films — a director expert that generates videos and can also design the matching storyboards."_
## Installation
```bash
npm install -g bailian-cli
npx skills add modelstudioai/cli --all -g
**Agent install (recommended)**
Send the following to your Agent — it will detect your environment, then install and verify the CLI for you:
```text
Please read https://bailian.aliyun.com/cli/install.md and install the Aliyun Model Studio CLI for me
```
> Requires Node.js >= 22.12.
**Install with NPM**
```bash
npm install -g bailian-cli
bl skill init
```
> Requires Node.js >= 18.17.
**Install on macOS/Linux**
```bash
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
```
> No Node.js required. The installer automatically installs Bailian Skills.
**Install on Windows**
```powershell
irm https://bailian.aliyun.com/cli/install.ps1 | iex
```
> No Node.js required. The installer automatically installs Bailian Skills.
## Quick Start
```bash
# Authenticate, recommended
bl auth login --console
Once installed, just describe your task to your AI Agent — no need to assemble commands by hand.
# Or authenticate with an API key
bl auth login --api-key sk-xxxxx
# Chat with Qwen
bl text chat --message "What is DashScope?"
# Multimodal chat (text + image + audio + video)
bl omni --message "Describe this image" --image ./photo.jpg
# Generate an image
bl image generate --prompt "A cat in a spacesuit" --out-dir ./images/
# Generate a video from local image
bl video generate --image ./cat.png --prompt "Make the cat move" --download cat.mp4
# Model recommendation — find the best model for your use case
bl advisor recommend --message "I need a visual-understanding chatbot"
# Compare specific models
bl advisor recommend --message "qwen-max vs deepseek-v3 for code generation"
# Browser login (required for console capability commands)
bl auth login --console
# Fine-tune & deploy — a one-shot train-to-serve workflow
bl dataset upload --file ./train.jsonl # Upload a .jsonl dataset (validated first)
bl finetune create --model qwen3-8b --datasets ./train.jsonl --training-type sft-lora # Local paths auto-upload
bl finetune watch --job-id ft-xxx --output json # Non-blocking status probe (exit 0/1/3 = done/failed/running)
bl finetune capability --model qwen3-8b # Which training types a model supports
bl deploy create --model qwen3-8b --name my-svc --plan mu # Deploy the trained model as an endpoint
# Browse apps / free-tier quota / usage statistics / workspaces
bl app list
bl usage free # Free-tier quota across models (add --model/--expiring/--sort)
bl usage stats --workspace-id <id> # Model usage statistics (add --model for per-model)
bl workspace list # List all workspaces
# Rate limit management (list / check / request / history)
bl quota list # View RPM/TPM limits (add --model to filter)
bl quota check # Current usage vs rate limits (add --model/--period)
bl quota request --model qwen3.6-plus --tpm 6000000 # Request a temporary TPM increase
bl quota history # View quota-change history
# Token Plan team management (requires AK/SK, see auth below)
bl token-plan list-seats # View subscription seat details
bl token-plan add-member --account-name dev --org-id org_xxx
bl token-plan assign-seats --workspace-id ws_xxx --seat-type standard --account-id acc_xxx
bl token-plan create-key --account-id acc_xxx --workspace-id ws_xxx
```
| Scenario | What to say to your Agent |
| ------------------------ | --------------------------------------------------------------------------------- |
| Managed Agent | "Create a Managed Agent that can generate short-film storyboards and videos." |
| Image & video generation | "Generate an image of a cat in a spacesuit on Mars, then turn it into a video." |
| Usage & quota | "Show my recent model usage, free-tier quota, and rate limits." |
| Model selection | "Recommend a model for image understanding and customer support." |
| About Bailian CLI | "Tell me what Bailian CLI can do for me, and suggest how to use it for my needs." |
> More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)
## Authentication
### DashScope API Key
### API Key
Required for most commands. Get your key from the [DashScope Console](https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key).
```bash
# Option 1: Environment variable
export DASHSCOPE_API_KEY=sk-xxxxx
# Option 2: Login command (persisted to ~/.bailian/config.json)
bl auth login --api-key sk-xxxxx
```
# Option 3: Per-command flag
bl text chat --api-key sk-xxxxx --message "Hello"
Get or copy your Token Plan API key from the [Token Plan subscription overview](https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview).
```bash
bl auth login --config token-plan --api-key sk-sp-xxxxx
```
### Console Login (OAuth)
Required for console capability commands (`app list`, `usage free`, `usage stats`, `workspace list`, `quota list/request/check/history`). Opens the Bailian console in your browser to sign in.
Required for console capability commands (model list, app list, MCP list, workspace, usage queries, rate-limit increases, direct console calls). Opens the Bailian console in your browser to sign in.
```bash
bl auth login --console
```
### Alibaba Cloud AK/SK (Knowledge Base & Token Plan)
### Alibaba Cloud OpenAPI AK/SK
Required for `knowledge retrieve` and the `token-plan` command group. Get your AccessKey from [RAM Console](https://ram.console.aliyun.com/manage/ak).
Token Plan seat and member management requires an Alibaba Cloud AccessKey. Get yours from the [RAM Console](https://ram.console.aliyun.com/manage/ak).
> Recommended: create a RAM sub-account with minimum privileges instead of using the root account's AK/SK.
```bash
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
export BAILIAN_WORKSPACE_ID=ws-...
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
```
## Configuration
@@ -183,17 +161,34 @@ export BAILIAN_WORKSPACE_ID=ws-...
# View current config
bl config show
# Set defaults
bl config set --key base_url --value https://dashscope-us.aliyuncs.com
bl config set --key default_text_model --value qwen-turbo
bl config set --key timeout --value 600
# List all config profiles
bl config list
# Self-update to latest version
bl update
# Switch config profile
bl config use --name token-plan
# Switch the CLI interface to Chinese
bl config set --key language --value zh-CN
```
Config file location: `~/.bailian/config.json`
## Update
```bash
bl update
```
Upgrades the CLI to the latest version and refreshes the installed Agent Skills. Release notes for every version live in [CHANGELOG.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.md).
## Contributing
Bug reports, feature requests, and PRs are welcome. See [CONTRIBUTING.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.md) for developer setup, repo layout, and the workflow for adding or changing commands.
Scan the QR code to join the Aliyun Model Studio CLI DingTalk user group for usage help, troubleshooting, bug reports, and tips from other users.
<img src="https://img.alicdn.com/imgextra/i3/O1CN015uuhYGb6j0L12xJZ_!!6000000006304-2-tps-516-485.png" alt="Aliyun Model Studio CLI DingTalk user group" width="240" />
## Links
| Resource | URL |
@@ -203,12 +198,5 @@ Config file location: `~/.bailian/config.json`
| Qwen Model List | https://help.aliyun.com/zh/model-studio/getting-started/models |
| Aliyun Model Studio Console | https://bailian.console.aliyun.com/?source_channel=cli_github |
| Get API Key | https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key |
| Get Token Plan API Key | https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview |
| Get AccessKey | https://ram.console.aliyun.com/manage/ak |
## Changelog
Release notes for every version live in [CHANGELOG.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.md).
## Contributing
Bug reports, feature requests, and PRs are welcome. See [CONTRIBUTING.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.md) for developer setup, repo layout, and the workflow for adding or changing commands.
+102 -113
View File
@@ -5,7 +5,7 @@
**阿里云百炼 (DashScope) AI 平台命令行工具**
[![npm version](https://img.shields.io/npm/v/bailian-cli?color=0969da&label=npm)](https://www.npmjs.com/package/bailian-cli)
[![Node.js](https://img.shields.io/badge/node-%3E%3D22.12-brightgreen)](https://nodejs.org)
[![Node.js](https://img.shields.io/badge/node-%3E%3D18.17-brightgreen)](https://nodejs.org)
[![TypeScript](https://img.shields.io/badge/TypeScript-strict-3178c6)](https://www.typescriptlang.org)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE)
@@ -22,27 +22,16 @@ _专为 AI Agent 打造每个命令均可作为结构化工具调用。_
## 功能特性
让您的 AI Agent 开箱即具备以下能力,并可在复杂任务中自动组合调用:
- **模型生成** — 文本、图像、视频、语音全模态生成,支持编辑与参考生成
- **素材理解** — 图像、文档、音频、长视频的解析与问答
- **应用编排** — 调用百炼已发布的 Managed Agent、智能体和工作流接入知识库、记忆库、联网搜索与 MCP 工具
- **模型训推** — 数据集校验上传、模型精调、专属模型部署上线
- **账号运维** — 授权登录、界面化配置、模型市场、用量与额度、限流提额、团队席位管理
- **套餐接入** — 支持 Token Plan 等订阅计划一键接到 CLI 和常见 Coding Agent
- **文本对话** — Qwen3.7-maxAgentic coding、前端编程、Vibe coding 等能力显著增强
- **全模态对话** — 文本 + 图像 + 音频 + 视频全模态支持
- **图像生成与编辑** — Qwen-Image 2.0:专业文字渲染、真实质感、强语义遵循、多图合成
- **视频生成与编辑** — happyhorse-1.1 系列,支持文生 / 图生 / 参考生(最多 9 张图参考)/ 自然语言视频编辑
- **语音合成与识别** — CosyVoice 实时流式合成5-20s 样本即可克隆FunAudio-ASR 覆盖 30 种语种,含汉语七大方言与 20+ 口音官话
- **图像与视频理解** — Qwen-VL长视频解析、复杂图表与文档识别、视觉推理、多语种 OCR
> **注意:** 应用编排、模型训推、账号运维和套餐接入目前仅支持中国站aliyun.com账号暂不支持国际站 / 全球站账号。
> **注意:** 以下功能目前仅对中国站aliyun.com账号开放国际站 / 全球站账号暂不支持。
- **知识库与记忆库** — 多模态 RAG 检索 + 跨会话记忆,提供个性化连贯对话体验
- **应用调用** — 调用已发布在阿里云百炼平台上的智能体与工作流应用
- **MCP 集成** — 统一调度百炼 MCP 服务:列出服务、查看工具、直接在终端调用任意工具
- **联网搜索** — 实时互联网信息检索,提升回答准确性及时效性
- **模型推荐** — 描述你的场景,智能推荐最适合的模型;支持限定范围搜索、模型对比和替代发现
- **微调与部署** — 上传数据集、创建 SFT/LoRA/DPO/CPT 调优任务(`finetune create`)、非阻塞探测任务状态(`finetune watch`)、按模型查训练能力(`finetune capability`),并把训练好的模型部署为推理服务(`deploy create`
- **控制台能力** — 浏览百炼应用(`app list`),查询模型免费额度(`usage free`),查看模型用量统计(`usage stats`),管理业务空间(`workspace list`),管理限流与提额(`quota list/request/check/history`
- **本地文件自动上传** — 所有 URL 参数同时支持本地路径,免费临时存储 48 小时
## 示例:一句话生成一部电影短片
## 示例 1一句话生成一部电影短片
<p align="center">
<a href="https://cloud.video.taobao.com/vod/dS2F4huqbw5Nfe5L3wwb3grz2q2DNYD3retq8dU-iHo.mp4">
@@ -52,127 +41,117 @@ _专为 AI Agent 打造每个命令均可作为结构化工具调用。_
<p align="center"><i>👆 点击封面播放完整 2 分钟演示</i></p>
一部完整的 **2 分钟、16:9 电影感短片** —— 由一句自然语言端到端生成,**全程零手动剪辑**。这个示例展示了 AI Agent 如何把三个基础能力编排成一条多步创作流水线:
一部完整的 **2 分钟、16:9 电影感短片** —— 由一句自然语言端到端生成**全程零手动剪辑**。这个示例展示了 AI Agent 如何把三个基础能力编排成一条多步创作流水线
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** —— Agentic coding 模型,解析用户意图、驱动整个工作流
- **[阿里云百炼 CLI](https://github.com/modelstudioai/cli/)** —— 调用 **HappyHorse 1.1**,百炼的文生/图生/参考生视频模型
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** —— Agentic coding 模型解析用户意图、驱动整个工作流
- **[阿里云百炼 CLI](https://github.com/modelstudioai/cli/)** —— 调用 **HappyHorse 1.1**百炼的文生/图生/参考生视频模型
- **[spark-video Skill](https://github.com/JohnKeating1997/spark-video)** —— 负责场景拆分、分镜设计、镜头连贯性和最终拼接
### 唯一的提示词
> _"帮我生成一段日系影视风格,高中女生的青涩初恋故事,剧情高甜,让人看了想谈恋爱,2 分钟左右的视频,尺寸是 16:9"_
> _帮我生成一段日系影视风格高中女生的青涩初恋故事剧情高甜让人看了想谈恋爱2 分钟左右的视频尺寸是 16:9。”_
### 工作流程
## 示例 2一句话构建短片导演 Managed Agent
1. **Qwen Code** 解析需求、规划叙事节奏,决定要调用哪些工具。
2. **spark-video Skill** 把故事拆成镜头、为每个镜头写提示词,并保证视觉连贯性(角色、光线、色调、镜头语言)。
3. **`bl video generate`** 把每个镜头并行下发给 **HappyHorse 1.1**
4. Skill 把所有片段拼成最终的 16:9 / 约 2 分钟成片。
<p align="center">
<a href="https://cloud.video.taobao.com/vod/2v0GYLbJSQb2saj4iopTJDW3iRIHsintYlK-wTKbhqE.mp4">
<img src="https://img.alicdn.com/imgextra/i4/6000000001674/O1CN01xhzixhxltbH3LxWu_!!6000000001674-0-tbvideo.jpg" alt="点击播放演示视频" width="720" />
</a>
</p>
没有时间线拖拽,没有逐帧剪辑。一句话 → 一部短片。
<p align="center"><i>👆 点击封面播放完整演示</i></p>
一句话构建一个可复用的云端短片导演,用于分镜设计、分镜图生成和视频创作:
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** —— 理解需求并生成 Agent 配置
- **[阿里云百炼 CLI](https://github.com/modelstudioai/cli/)** —— 校验配置、预览变更并完成部署
- **[Managed Agent](https://bailian.console.aliyun.com/cn-beijing/?tab=managed-agents#/managed-agents/quick-start)** —— 在云端运行导演角色及其 Skill 和工具
### 唯一的提示词
> _“帮我构建一个 managedagent 应用能够实现短片拍摄导演专家生成视频然后也能进行设计对应的分镜图。”_
## 安装
```bash
npm install -g bailian-cli
npx skills add modelstudioai/cli --all -g
**Agent 安装(推荐)**
把下面这句话发给你的 Agent它会自行判断环境并完成安装与校验
```text
请阅读https://bailian.aliyun.com/cli/install.md 并按照说明为我安装阿里云百炼 CLI
```
> 需要预先安装 Node.js >= 22.12。
**NPM 安装**
```bash
npm install -g bailian-cli
bl skill init
```
> 需要预先安装 Node.js >= 18.17。
**macOS/Linux 安装**
```bash
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
```
> 无需预先安装 Node.js安装脚本会自动安装 Bailian Skills。
**Windows 安装**
```powershell
irm https://bailian.aliyun.com/cli/install.ps1 | iex
```
> 无需预先安装 Node.js安装脚本会自动安装 Bailian Skills。
## 快速开始
```bash
# 认证(推荐浏览器登录)
bl auth login --console
安装完成后,直接在 AI Agent 中描述你的任务,无需手动拼接命令。
# 或使用 API key 认证
bl auth login --api-key sk-xxxxx
# 和通义千问对话
bl text chat --message "你好,介绍一下阿里云百炼平台"
# 多模态对话(文本 + 图片 + 音频 + 视频)
bl omni --message "描述这张图片" --image ./photo.jpg
# 生成图片
bl image generate --prompt "一只穿太空服的猫在火星上" --out-dir ./images/
# 图生视频(本地文件自动上传)
bl video generate --image ./cat.png --prompt "让画面中的猫动起来" --download cat.mp4
# 模型推荐 — 根据场景推荐最适合的模型
bl advisor recommend --message "我要做一个能理解图片的客服机器人"
# 对比特定模型
bl advisor recommend --message "qwen-max 和 deepseek-v3 哪个更适合做代码生成"
# 浏览器登录(控制台能力相关命令需要)
bl auth login --console
# 微调与部署 — 从训练到服务的一站式流程
bl dataset upload --file ./train.jsonl # 上传 .jsonl 数据集(先校验)
bl finetune create --model qwen3-8b --datasets ./train.jsonl --training-type sft-lora # 本地路径自动上传
bl finetune watch --job-id ft-xxx --output json # 非阻塞状态探测(退出码 0/1/3 = 成功/失败/进行中)
bl finetune capability --model qwen3-8b # 查询模型支持哪些训练方式
bl deploy create --model qwen3-8b --name my-svc --plan mu # 把训练好的模型部署为推理服务
# 浏览应用 / 免费额度 / 用量统计 / 业务空间
bl app list
bl usage free # 各模型免费额度(可加 --model/--expiring/--sort
bl usage stats --workspace-id <id> # 模型用量统计(加 --model 查单模型)
bl workspace list # 列出所有业务空间
# 限流管理与提额list / check / request / history
bl quota list # 查看 RPM/TPM 限额(加 --model 过滤)
bl quota check # 当前用量 vs 限流阈值(加 --model/--period
bl quota request --model qwen3.6-plus --tpm 6000000 # 申请临时 TPM 提额
bl quota history # 查看提额历史记录
# Token Plan 团队版管理(需 AK/SK见下方认证说明
bl token-plan list-seats # 查看订阅席位明细
bl token-plan add-member --account-name dev --org-id org_xxx
bl token-plan assign-seats --workspace-id ws_xxx --seat-type standard --account-id acc_xxx
bl token-plan create-key --account-id acc_xxx --workspace-id ws_xxx
```
| 场景 | 可以这样对 Agent 说 |
| ---------------- | ----------------------------------------------------------------------- |
| Managed Agent | “帮我创建一个能够生成短片分镜和视频的 Managed Agent。” |
| 图片和视频生成 | “生成一张穿着太空服的猫站在火星上的图片,再把它制作成一段视频。” |
| 用量与额度 | “查看最近的模型用量、免费额度和限流情况。” |
| 模型选型 | “推荐一个适合图片理解和智能客服的模型。” |
| 了解 Bailian CLI | “介绍一下 Bailian CLI 能帮我完成哪些任务,并根据我的需求推荐使用方式。” |
> 更多案例与使用场景:[阿里云百炼 CLI 官方主页](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)
## 认证方式
### DashScope API Key
### API Key
大部分命令均需要 API Key。前往 [DashScope 控制台](https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key) 获取。
```bash
# 方式一:环境变量
export DASHSCOPE_API_KEY=sk-xxxxx
# 方式二:登录命令(持久化到 ~/.bailian/config.json
bl auth login --api-key sk-xxxxx
```
# 方式三:命令行参数
bl text chat --api-key sk-xxxxx --message "你好"
Token Plan 的 API Key 前往 [Token Plan 订阅详情](https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview) 获取或复制。
```bash
bl auth login --config token-plan --api-key sk-sp-xxxxx
```
### 控制台登录OAuth
控制台能力命令(`app list``usage free``usage stats``workspace list``quota list/request/check/history`)需要使用此登录方式。打开浏览器跳转百炼控制台完成登录。
控制台能力命令(模型列表、应用列表、MCP 列表、工作空间、用量查询、限流提额、控制台直调)需要使用此登录方式。打开浏览器跳转百炼控制台完成登录。
```bash
bl auth login --console
```
### 阿里云 AK/SK知识库检索与 Token Plan
### 阿里云 OpenAPI AK/SK
`knowledge retrieve``token-plan` 命令组需要阿里云 AccessKey。前往 [RAM 控制台](https://ram.console.aliyun.com/manage/ak) 获取。
Token Plan 的席位与成员管理需要阿里云 AccessKey。前往 [RAM 控制台](https://ram.console.aliyun.com/manage/ak) 获取。
> 建议:创建 RAM 子账号并授予最小权限,避免使用主账号 AK/SK。
```bash
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
export BAILIAN_WORKSPACE_ID=ws-...
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
```
## 配置
@@ -181,17 +160,34 @@ export BAILIAN_WORKSPACE_ID=ws-...
# 查看当前配置
bl config show
# 设置默认值
bl config set --key base_url --value https://dashscope-us.aliyuncs.com
bl config set --key default_text_model --value qwen-turbo
bl config set --key timeout --value 600
# 查看全部配置档
bl config list
# 自更新到最新版本
bl update
# 切换配置档
bl config use --name token-plan
# 将 CLI 界面切换为中文
bl config set --key language --value zh-CN
```
配置文件位置:`~/.bailian/config.json`
## 更新
```bash
bl update
```
升级 CLI 至最新版本,并同步更新已安装的 Agent Skills。每个版本的变更详情记录在 [CHANGELOG.zh.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.zh.md)。
## 参与贡献
欢迎提 Issue、Feature Request 和 PR。开发环境搭建、仓库结构、新增/修改命令的工作流请见 [CONTRIBUTING.zh.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.zh.md)。
欢迎扫码加入阿里云百炼 CLI 钉钉用户交流群获取使用答疑、问题排查、Bug 反馈和使用经验交流支持。
<img src="https://img.alicdn.com/imgextra/i3/O1CN015uuhYGb6j0L12xJZ_!!6000000006304-2-tps-516-485.png" alt="阿里云百炼 CLI 钉钉用户交流群" width="240" />
## 相关链接
| 资源 | 地址 |
@@ -201,12 +197,5 @@ bl update
| 通义千问模型列表 | https://help.aliyun.com/zh/model-studio/getting-started/models |
| 阿里云百炼控制台 | https://bailian.console.aliyun.com/?source_channel=cli_github |
| 获取 API Key | https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key |
| 获取 Token Plan API Key | https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview |
| 获取 AccessKey | https://ram.console.aliyun.com/manage/ak |
## 更新日志
每个版本的变更详情记录在 [CHANGELOG.zh.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.zh.md)。
## 参与贡献
欢迎提 Issue、Feature Request 和 PR。开发环境搭建、仓库结构、新增/修改命令的工作流请见 [CONTRIBUTING.zh.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.zh.md)。
+119 -65
View File
@@ -2,115 +2,169 @@
## 触发条件
- 增加新的鉴权方式(OAuth、SSO、控制台回调登录)
- 增加新的 token 来源(env / config / flag / 文件)
- 调整凭证解析优先级
-`bl auth login` 流程
- 增加新的鉴权域或 token 来源(env / config / flag / 文件)
- 调整 API Key / Console token 解析优先级
- `bl auth login` / `auth status` / `auth logout` 流程
-runtime 对 command `auth` 的 gating 或 credential 注入
## 鉴权链路
```
flag 优先 ─→ config 文件 ─→ env var
│ │ │
──── resolveCredential() (core) ───┐
cli/utils/ensure-key.ts (启动时拦)
命令注入 Authorization 头
argv flags ─┐
env var ──┼─ buildSources(flags) ─┐
config ──┘ │
├─ buildSettings(sources) → ctx.settings
├─ resolveApiKey(sources) → model-domain Client
├─ resolveConsole(sources) → console-domain Client
└─ resolveOpenApi(sources) → OpenAPI Client
defineCommand({ auth }) → runtime/authStage → ctx.client → command.run(ctx)
```
凭证类型(`AuthMethod`):
当前 command 鉴权域(`AuthRequirement`):
- `api-key` — DashScope SK(`sk-...`),走 Bearer 头
- `access-token` — 控制台 OAuth 回调拿到的临时 token,走 Bearer + 不同 endpoint
- `ak/sk` — Alibaba Cloud 标准 AK/SK,走 ROA 签名(只用于知识库)
- `apiKey` — DashScope / OpenAI-compatible 模型域,用 API key 与 model base URL
- `console` — Bailian Console Gateway,用 console access token + region/site/switchAgent;`workspace_id` 是独立的 Settings 作用域,不属于 credential
- `openapi` — 阿里云 OpenAPI 签名域,用 AccessKey ID/Secret 调用 Token Plan 等 OpenAPI
- `none` — 本地命令、登录/配置类命令、无需 credential 的命令
### 凭证并存API Key + Console
### 凭证并存
`~/.bailian/config.json` 可同时保存 `api_key``access_token`**登录任一种方式不得删除另一种**`bl auth login --api-key` / `--console` 只更新对应字段)。
`~/.bailian/config.json` 可同时保存 `api_key``access_token``access_key_*`。登录任一种方式不得删除另一种:
- `bl auth login --api-key ...` 只更新 `api_key` / `base_url`
- `bl auth login --console` 只更新 `access_token` 以及回调携带的 console 作用域字段
- `bl auth login --open-api ...` 更新 `access_key_id` / `access_key_secret`,同时会调用 OpenAPI 生成 CLI `access_token` 并一并写入;即一次 `--open-api` 登录同时产生 `openapi``console` 域凭证
- `bl auth logout --console` 只清 `access_token`
- `bl auth logout --open-api` 只清 `access_key_id` / `access_key_secret` / `security_token`
- `bl auth logout``api_key` + `base_url` + `access_token` + `access_key_*`
解析分工:
- `resolveCredential()` — DashScope API 命令(`text chat``file upload`config 里两者都有时 **优先 `api_key`**
- `resolveConsoleGatewayCredential()` — 控制台网关(`app list``usage free``console call`**只用** env/file 的 `access_token`,忽略 `api_key`
- `resolveApiKey()``auth: "apiKey"` 命令;优先级 `--api-key` > `DASHSCOPE_API_KEY` > config `api_key`
- `resolveModelBaseUrl()` — model base URL;优先级 `--base-url` > `DASHSCOPE_BASE_URL` > config `base_url` > `REGIONS.cn`,返回前统一归一化为 URL origin仅保留协议、host 和显式端口,去除 path、query、fragment
- `--config` 只选择 config 文件 block不提升该 block 的字段优先级;内置套餐 Profile当前为 `token-plan`)的预设仅在登录时物化写入,运行时继续走统一的 flag > env > selected config file > 默认值
- 显式 `auth login --config <name>` 在凭证验证并落盘成功后自动激活目标 Profile未传
`--config` 时继续写当前激活项,失败和 dry-run 不切换
- `resolveConsole()``auth: "console"` 命令;当前 token 来自 config `access_token`,region/site/switchAgent 来自 flag > config > 默认
- `resolveOpenApi()``auth: "openapi"` 命令;优先级 `--access-key-id/--access-key-secret` > `ALIBABA_CLOUD_ACCESS_KEY_ID/ALIBABA_CLOUD_ACCESS_KEY_SECRET` > config `access_key_*`。兼容读取旧字段 `openapi_access_key_*`,新写入只写短字段
- `describeAuthState()``auth status` / banner / telemetry 使用的只读快照
必改调用点: 凡 `callConsoleGateway` 必须用 `resolveConsoleGatewayCredential`,不能误用 `resolveCredential`(否则 config 仅有 api_key 时会拿 sk- 打网关)
命令不要直接解析 token、env 或 config。业务请求统一走 `ctx.client`;登录/配置命令通过 `ctx.authStore` / `ctx.configStore` 的窄接口操作落盘
`bl auth logout --console` 只清 `access_token`;全量 `bl auth logout` 清两者。
### 例外:agent 命令的分层鉴权与 SDK 凭证内存注入
`bl managed-agent *` 按调用链分两层:
- **离线命令** — `init``validate``state list/show/rm`:`auth: "none"`,只读写本地文件,无需登录;引擎侧传 `credentials: "none"` 跳过凭证断言
- **联网命令** — `plan``apply``destroy``state import``skill-list`、全部 `session *`:统一声明 `auth: "apiKey"` 硬门禁 —— 无论目标 provider 是谁authStage 都经 `resolveApiKey(sources)` 解析 bailian 凭证(flag > env > active profile config),缺失报统一 AUTH;引擎层 `assertProviderCredentials` 再对 agents.yaml 里**全部已声明 provider** 的空 key 拦截并给 provider 专属 hint。例外:`plan --no-refresh` / `plan --dry-run``credentials: "none"` 并强制 `refresh: false`(不联网、不回写 state不查 provider key其中 `--dry-run` 连登录也不要求authStage 的 dry-run 豁免),`--no-refresh` 仍需登录。
凭证不以真实值写入 `process.env`,而是经 `packages/commands/src/commands/managed-agent/_engine/` 的**内存注入管道**(`resolveAgentProjectConfig`)注入 SDK管道五步:
1. `prepareProviderEnv()` — 先 `bootstrapRuntimeCredentialsSync()`(SDK 把 `.env` / `~/.agents/config.json` 灌进 env服务 claude/ark/qoder 等非 bailian provider),再把全部凭证类 env(`CREDENTIAL_ENV_KEYS`,含别名)中仍为 undefined 的占位为 `""`,使 agents.yaml 插值不因缺变量抛错
2. `resolveProjectConfig` — 插值发生:bailian 插值拿到占位空串claude/ark 拿到真实 env 值;随后 `normalizeInterpolatedProviderBlocks()` 把插值为空导致的 YAML `null` 归一为 `""`(避免离线命令下空 key 在 SDK zod 层报 "received null")
3. `injectProviderCredentials()` — 用 `ctx.client.exportApiCredential()`(lint 限定 `managed-agent/_engine/**` 可用)覆写内存 config 对象的 bailian 块:有凭证时 `api_key` 无条件覆写;`base_url`(拼 `/api/v1/agentstudio` 后缀,无凭证时用 client 默认域名补齐以满足 schema)/`workspace_id`(取 `settings.workspaceId`)仅在引用且为空时填充
4. `scrubCredentialEnv()` — 从 `process.env` 删除全部凭证变量(真实凭证此后只存于 config 对象 → provider adapter 实例内存,不驻留 env / 不被子进程继承)
5. `assertProviderCredentials(providers)` — 任一已声明 provider 的 `api_key` 为空 → CLI 权威 `AUTH` 错误 + provider 专属 hint(取代 SDK 原始插值/zod 报错);离线命令传 `credentials: "none"` 整体跳过
`bl auth login` 仅管理 bailian(DashScope)凭证;claude/ark/qoder 的 key 从 env(shell / `.env` / `~/.agents/config.json`)经插值进入 config 对象,同样被清扫。禁止命令层直接 `readConfigFile` 裸读凭证;bailian 字段以 CLI 鉴权链为唯一信源。
## 必查清单
### A. core 层(类型 + 解析)
- [ ] `packages/core/src/types/command.ts`:
- 如新增鉴权域,扩展 `AuthRequirement`
- 更新 `credentialFlagDefs()` 暴露该域可见的 flag
- 必要时新增 `*_AUTH_FLAGS`
- `workspace_id` 是作用域字段而非 credential,不要把它放进 `ConsoleCredential`;读取方式按命令 `auth` 域区分:
- `auth: "console"` 命令通过 `CONSOLE_AUTH_FLAGS` 自动获得 `--workspace-id`,由 `buildSettings()` 解析到 `settings.workspaceId`,命令统一从 `settings.workspaceId` 读取
- `auth: "apiKey"`/`"openapi"`/`"none"` 命令如需 `--workspace-id`,必须自声明 flag;因它不会进入 credential/global flags,命令从 `ctx.flags.workspaceId` 读取(可回退到 `settings.workspaceId`)
- [ ] `packages/core/src/auth/types.ts`:
- 新增 `AuthMethod` 字面量
- 新增 `ResolvedCredential` 字段(如 token 类型 / 过期时间)
- 新增 credential 类型 / source / scope 字段
- [ ] `packages/core/src/auth/resolver.ts`:
- `resolveCredential()` 增加新分支
- 控制台网关命令用 `resolveConsoleGatewayCredential()`(与 DashScope 解析分离)
- 优先级注释保持清晰(数字标号)
- [ ] `packages/core/src/auth/credentials.ts`:
- 如果新方式需要持久化,加 `save*` / `load*` / `clear*`
- 新增或调整 resolver,保持优先级注释清晰
- 新增/调整 resolver hint 时保持产品无关,不要新增 `bl` / `kscli` 硬编码;当前遗留的 `bl auth login` hint 如被触碰,迁到 runtime `enhanceHint`
- [ ] `packages/core/src/auth/store.ts`:
- 如果新方式需要持久化,扩展 `AuthStore` / `AuthPersistPatch`
- [ ] `packages/core/src/config/schema.ts`:
- `Config` 接口加新字段(如 `fileAccessToken``accessTokenEnv`)
- `ConfigFile` 接口加对应 disk 字段(snake_case)
- `ConfigFile` 加 disk 字段(snake_case)
- `Settings` 加运行时字段(如果命令需要读取)
- [ ] `packages/core/src/config/loader.ts`:
- `loadConfig()` 把 env / 文件读到 Config 上
- `buildSources()` / `buildSettings()` 把 flag/env/file 读到正确层
### B. core 客户端
### B. runtime 层
- [ ] `packages/core/src/client/http.ts`:
- 不同 `credential.method` 走不同分支(参考已有 `access-token` 分支走 console gateway)
- Authorization 头注入正确
- [ ] `packages/runtime/src/create-cli.ts`:
- parse flags 时纳入新的全局/凭证域 flag
- `globalFlags``ownFlags` 分流正确
- [ ] `packages/runtime/src/middleware.ts:authStage`:
- 根据 `command.auth` 解析 credential 并注入 `ctx.client`
- `settings.dryRun` 下是否允许缺 credential 的策略明确
- [ ] `packages/runtime/src/error-handler.ts`:
- AUTH hint 增强使用 `binName`,不要硬编码 `bl`
- URL 从 `packages/runtime/src/urls.ts` import
### C. cli
### C. command
- [ ] `packages/cli/src/utils/ensure-key.ts`:
- 启动时检查新凭证方式是否已配置,缺的话提示
- 如果是交互式 setup(类似 `bl auth login --console`),增加新分支
- [ ] `packages/cli/src/commands/auth/login.ts`:
- 新增 `--xxx` flag 触发新登录流程
- 持久化到 config(调用 core 的 save 函数)
- [ ] `packages/cli/src/commands/auth/status.ts`:
- 分别显示 `api_key` / `access_token` 是否已配置,以及 DashScope vs 控制台网关各自生效的 credential
- [ ] `packages/cli/src/output/status-bar.ts`:
- 顶部状态条显示新凭证 method
- [ ] `packages/commands/src/commands/auth/login.ts`:
- 新增/调整登录 flag 与流程
- 持久化只走 `ctx.authStore.login(...)`
- [ ] `packages/commands/src/commands/auth/status.ts`:
- 分别显示 model / console / openapi 鉴权状态,并 mask token
- [ ] `packages/commands/src/commands/auth/logout.ts`:
- 清理范围与双凭证并存规则一致
- [ ] 新的业务命令设置正确 `auth`:
- 模型域请求 → `auth: "apiKey"`
- Console Gateway → `auth: "console"`
- 阿里云 OpenAPI 请求 → `auth: "openapi"`
- 本地/登录/配置 → `auth: "none"`
### D. main 启动逻辑
- [ ] 若新增命令**自行处理鉴权**或**不应在入口触发默认 API key 引导**,在对应 `defineCommand` 上设 `skipDefaultApiKeySetup: true`(见 `packages/core/src/types/command.ts`;`packages/cli/src/main.ts``registry.resolve` 后读取 `command.skipDefaultApiKeySetup`)
### E. 错误文案
- [ ] core 的 `BailianError` 鉴权失败 hint **保持通用**(不写 cli 命令名,见 [error-hint-change.md](error-hint-change.md))
- [ ] cli 的 `enhanceHint` (error-handler.ts) 按 `ExitCode.AUTH` 注入新方式的 cli 命令引导
### F. 用户面文档
### D. 用户面文档
- [ ] `README.md` / `README.zh.md` "Authentication" 段落
- [ ]`skills/<skill>/reference/` 通过 `pnpm run sync:skill-assets` 重建
### G. 测试
### E. 测试
- [ ] `packages/cli/tests/e2e/auth.e2e.test.ts` 增加新方式的 happy / failure 路径
- [ ] mask token 的输出格式不变(避免泄漏)
- [ ] 如调整 resolver 优先级,补 core/runtime 单测覆盖 flag > env > file
## 完成后自查
本仓库同时存在 `bl`(packages/cli) 与 `kscli`(packages/kscli) 两个入口,二者共享 core/runtime 鉴权链路,但暴露的命令不同。如果改动会影响两个入口共用的命令或错误提示,再分别验证它们各自实际暴露的路径;不要假设 `kscli` 也有 `bl auth *` 命令。
```sh
# 各种凭证组合
unset DASHSCOPE_API_KEY DASHSCOPE_ACCESS_TOKEN
HOME=/tmp/empty node packages/cli/src/main.ts auth status
unset DASHSCOPE_API_KEY ALIBABA_CLOUD_ACCESS_KEY_ID ALIBABA_CLOUD_ACCESS_KEY_SECRET
HOME=/tmp/empty pnpm -F bailian-cli exec tsx src/main.ts auth status
# flag 注入
node packages/cli/src/main.ts auth status --api-key sk-xxx
# flag 注入(凭证域 flag 只在对应业务命令可见,auth status 不接收)
pnpm -F bailian-cli exec tsx src/main.ts text chat --message hi --api-key sk-xxx --dry-run
pnpm -F bailian-cli exec tsx src/main.ts token-plan list-seats --access-key-id ak-xxx --access-key-secret sec-xxx --dry-run
pnpm -F bailian-cli exec tsx src/main.ts auth login --open-api --access-key-id ak-xxx --access-key-secret sec-xxx --dry-run
# env 注入
DASHSCOPE_ACCESS_TOKEN=xxx node packages/cli/src/main.ts auth status
DASHSCOPE_API_KEY=sk-xxx pnpm -F bailian-cli exec tsx src/main.ts auth status
ALIBABA_CLOUD_ACCESS_KEY_ID=ak-xxx ALIBABA_CLOUD_ACCESS_KEY_SECRET=sec-xxx pnpm -F bailian-cli exec tsx src/main.ts auth status
```
Console 登录/网关相关改动:
```sh
pnpm -F bailian-cli exec tsx src/main.ts auth login --console
pnpm -F bailian-cli exec tsx src/main.ts usage stats --dry-run --output json --workspace-id ws-xxx
```
注意:`usage stats --dry-run` 仍会先校验 workspace,必须传入 `--workspace-id`(或 `BAILIAN_WORKSPACE_ID` / config `workspace_id`)。
## 常见漏点
- ✗ 加了新 token 来源但忘了改 `resolveCredential` 优先级,实际不生效
-`Config` 加字段但 `loadConfig` 没读 → 字段永远 undefined
-`bl auth login` 写成功但 `bl auth status` 不识别(两边走的 storage path 不一致)
- ✗ 加了新 token 来源但忘了改 resolver 优先级,实际不生效
-`ConfigFile` / `Settings` 加字段但 `parseConfigFile``buildSettings` 没读
-`auth login` 写成功但 `auth status` 不识别(两边走的 storage path 不一致)
- ✗ token mask 显示完整 token,日志泄漏
-`auth: "console"` 命令误用 `apiKey` 域,config 只有 API key 时会把 `sk-...` 发到网关
- ✗ 新增 core resolver hint 时写死产品命令,导致 `kscli` 等入口提示错误
+11 -11
View File
@@ -50,13 +50,13 @@ git diff --name-only <base>...<head>
- [ ] **`package.json` 没破坏发布元数据**:`bin` / `exports` / `files` / `inlinedDependencies` 字段任何删除或改名都要单独评估
- [ ] **公共依赖没被悄悄升级**:catalog / 根 lockfile 改动要列出来
- [ ] **`package.json` version 没倒退**:目标分支已经更高时(如 main 1.0.3 vs head 1.0.0-beta.1),手动对齐版本号,不要被 head 覆盖
- [ ] **全局表没冲突**:`registry.ts``defineCommand``skipDefaultApiKeySetup`(见 `packages/core/src/types/command.ts`)`ExitCode` 三处新增项不和现有项冲突
- [ ] **全局表没冲突**:`packages/cli/src/commands.ts` / `packages/kscli/src/main.ts` command map、`defineCommand({ auth })``GLOBAL_FLAGS` / `MODEL_AUTH_FLAGS` / `CONSOLE_AUTH_FLAGS` / `OPENAPI_AUTH_FLAGS``ExitCode` 新增项不和现有项冲突
## 清单 B:用户透出(用户可见的新东西必看)
- [ ] **新命令 / 新 flag** 已同步到用户面文档:
- [README.md](README.md) + [README.zh.md](README.zh.md)(中英文都要,常漏 `_CN`)
- (SKILL.md 已迁出本仓库,由 `npx add skills` 机制独立维护,不在本仓库 review 范围)
- `skills/<skill>/reference/` + 对应 `SKILL.md` 通过 `pnpm run sync:skill-assets` 更新并提交
- [ ] **`bl <cmd> --help`** 文案完整:`description` / `examples` 都填了
- [ ] **demo / quickstart**:用户可调用的新命令至少有一个示例
- [ ] **行为变化的老命令**:在 commit message / CHANGELOG 注明用户感知的差异
@@ -80,7 +80,7 @@ git diff --name-only <base>...<head>
解冲突要点(merge 时不要漏):
- <冲突文件> + <字段/段落> + <怎么取舍>
↑ 放"合并那一刻才会出现"的细节,例如 package.json 的 files/scripts/devDependencies 各取并集、
`skipDefaultApiKeySetup` 这类命令元数据两边都加项时不要丢一侧、pnpm-lock.yaml 直接 rm 后 pnpm install 重生等。
command map / `auth` / 全局 flags 这类元数据两边都加项时不要丢一侧、pnpm-lock.yaml 直接 rm 后 pnpm install 重生等。
建议修(可后置):
- ...
仅信息(无需动作,告知即可):
@@ -94,11 +94,11 @@ git diff --name-only <base>...<head>
## 常见漏点(基于历史踩坑)
| 漏点 | 后果 |
| ------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- |
| `pnpm-workspace.yaml``packages/*` 收窄成显式列表 | 合并后目标分支的新子包不再被 workspace 识别,`pnpm install` 看似正常但子包失联 |
| 源分支 version 比目标分支低,直接 merge 覆盖 | npm 上版本号回退,latest tag 错乱 |
| `registry.ts` 注册新命令但忘了 [README](README.md) / [README.zh](README.zh.md) | 用户完全感知不到新功能 |
| 共享 util 重构(抽公共函数)只改了一处调用方 | 其它调用方静默走旧分支,行为分裂 |
| 不该跳过默认 API key 引导的命令误设 `skipDefaultApiKeySetup: true` | 安全风险,用户没配置 key 也能调付费 API |
| `catalog.ts` / `skipDefaultApiKeySetup` 这类元数据两边都加项,解冲突时被合掉一侧 | 某个命令突然要求登录 / 某个新命令注册丢失,编译能过、回归不易察觉 |
| 漏点 | 后果 |
| ---------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- |
| `pnpm-workspace.yaml``packages/*` 收窄成显式列表 | 合并后目标分支的新子包不再被 workspace 识别,`pnpm install` 看似正常但子包失联 |
| 源分支 version 比目标分支低,直接 merge 覆盖 | npm 上版本号回退,latest tag 错乱 |
| `packages/cli/src/commands.ts` 注册新命令但忘了 [README](README.md) / [README.zh](README.zh.md) | 用户完全感知不到新功能 |
| 共享 util 重构(抽公共函数)只改了一处调用方 | 其它调用方静默走旧分支,行为分裂 |
| 命令 `auth` 域设错(如 Console Gateway 用了 `apiKey` | 凭证域 flag/help/credential 注入都错,运行期才暴露 |
| `packages/cli/src/commands.ts` / `packages/kscli/src/main.ts` 这类 map 两边都加项,解冲突时被合掉一侧 | 某个新命令注册丢失,编译能过、回归不易察觉 |
+4 -3
View File
@@ -81,11 +81,12 @@ git merge-base --is-ancestor 12f2b1b 3fc54ae && echo "IN" || echo "NOT IN"
光看 commit 还不够,要确认目标功能的代码 / 文件在 release commit 上真的存在:
```sh
# 列出 release commit 下某目录的文件
git ls-tree -r <releaseCommit> --name-only -- packages/cli/src/commands/
# 列出 release commit 下命令实现与产品入口
git ls-tree -r <releaseCommit> --name-only -- packages/commands/src/commands/
git show <releaseCommit>:packages/cli/src/commands.ts | head
# 看 release commit 下某文件的内容
git show <releaseCommit>:packages/cli/src/commands/console/call.ts | head
git show <releaseCommit>:packages/commands/src/commands/console/call.ts | head
```
特别注意被一行带过的"杂项" commit。本仓库历史踩过坑:`feat(cli): enhance output options and add new commands` 这种标题里藏了**新命令** + **新输出格式** + **logout 增强**三件事,粗看会全部漏掉。
+85 -31
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@@ -1,30 +1,59 @@
# CLI E2E 测试规范
## 架构分层
| 层级 | 路径 | 测什么 |
| --------------- | ----------------------------------------------------- | ---------------------------------------------------------------------------------------- |
| **共享基建** | `packages/e2e` | gating、子进程 runner、output、globalSetup`private`,不发布) |
| **命令 E2E** | `packages/commands/tests/e2e` | help、缺参、dry-run、livegated每用例最小路由 |
| **Journey E2E** | `packages/commands/tests/e2e/knowledge/journeys` | 用户旅程全链路(跨命令回路 + 标记词召回闭环),全部 live gated`journeys/README.md` |
| **bl smoke** | `packages/cli/tests/e2e/registry.smoke.e2e.test.ts` | 产品 map 全部 path `--help`、分组 help、根 help |
| **kscli smoke** | `packages/kscli/tests/e2e/registry.smoke.e2e.test.ts` | 从 `kscli/src/commands.ts` 推导 path/分组identity`--version``search --help` path |
| **runtime** | `packages/runtime/tests` | `proxy.e2e`、console 跨域 flag 拒绝 |
**依赖边界**`e2e``core``commands/tests``e2e` + `commands/src`;产品 tests → `e2e` + 各自 `src`。**禁止**产品 import `commands/tests/**`(子进程 spawn harness 路径除外)。
## 触发条件
- 新增/修改 `packages/cli/src` 下的 command`commands/catalog.ts` 登记、`defineCommand` 实现、options/usage
-建或扩展 `packages/cli/tests/e2e/*.e2e.test.ts` 用例
- 为命令补 help / 缺参 / dry-run / 真实集成测试
- 新增/修改 `packages/commands/src/commands` 下的 command 实现
-增/修改 `packages/cli/src/commands.ts``bl` 命令路径 map
- 新建或扩展 `packages/commands/tests/e2e/<topic>.e2e.test.ts`
- 新增 bl 产品 path → `registry.smoke` 自动覆盖 leaf pathcommands topic 测试在 `topic-routes.ts` 补最小路由
以上情况必须同步维护 `packages/cli/tests/e2e/<topic>.e2e.test.ts`跑测与环境变量见 `.cursor/skills/bailian-cli-e2e/SKILL.md`
跑测与环境变量见 `.cursor/skills/bailian-cli-e2e/SKILL.md`
> **规则**:共享 command 行为在 `commands/tests/e2e`;产品 map、identity、CLI-only 命令留在对应产品 `tests/e2e`。
## 文件与工具
- 路径:`packages/cli/tests/e2e/<kebab-topic>.e2e.test.ts`
- 框架:`vite-plus/test`;子进程跑 CLI`runCli` from `./helpers.ts`
### commands E2E
- 路径:`packages/commands/tests/e2e/<kebab-topic>.e2e.test.ts`knowledge 领域集中在 `packages/commands/tests/e2e/knowledge/` 子目录(新增 knowledge 命令测试放这里)
- 子进程:`runCommandE2e(routes, args)` from `./helpers.ts`spawn `harness/main.ts``routes` 为本 topic 最小 path → export 映射)
- fixtures`packages/commands/tests/e2e/fixtures/`
- 路由常量:`topic-routes.ts`(按 topic 维护,**非**全量产品 map
### 产品 smoke
- bl`runCli` from `packages/cli/tests/e2e/helpers.ts`
- kscli`runKscli` from `packages/kscli/tests/e2e/helpers.ts`
### 共享
- gating / output / runner`e2e/gating``e2e/output``e2e/runner`
- globalSetup`vite.config.ts``packages/e2e/src/global-setup.ts`
- 解析 JSON stdout`parseStdoutJson`;输出目录:`makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url))`
- 长任务:`cliTimeoutPrefix()`;视频用例加 `test(..., 3_600_000)` 等显式超时
## 双层 describe固定结构
```ts
// 1) 不 skip分组 + --help无密钥、无真实 API
// 1) 不 skip--help无密钥、无真实 API(分组 help 由 bl registry.smoke 覆盖)
describe("e2e: <topic>", () => {
test("<group> 分组展示子命令帮助且成功退出", ...);
test("<subcommand> --help 正常退出", ...);
});
// 2) skipIf缺参 / dry-run / 真实集成;原有集成用例放最后、勿改逻辑
// 2) skipIf缺参 / dry-run / 真实集成
describe.skipIf(<ready>)("e2e: <topic>DashScope …)", () => {
test("缺少 --<flag> 时退出为用法错误 (2)", ...);
test("<cmd> --dry-run ...", ...); // 若适用
@@ -32,57 +61,82 @@ describe.skipIf(<ready>)("e2e: <topic>DashScope …)", () => {
});
```
## skip 条件(helpers.ts
## skip 条件(`e2e/gating`commands helpers re-export
| 场景 | 条件 |
| ------------------- | ----------------------------------------------------- |
| 文本/搜索/记忆/配置 | `isDashScopeE2EReady()` |
| 图像/语音 | `isBailianE2EMediaEnabled() && isDashScopeE2EReady()` |
| 视频 | `isBailianE2EVideoEnabled() && isDashScopeE2EReady()` |
| 知识库 | `isKnowledgeE2EReady()` |
| 视频 download/task | 另需 `BAILIAN_E2E_VIDEO_TASK_ID` |
| 场景 | 条件 |
| ----------------------- | ---------------------------------------------------------------------------------------------------------- |
| 文本/搜索/记忆/配置 | `isDashScopeE2EReady()` |
| 图像/语音 | `isBailianE2EMediaEnabled() && isDashScopeE2EReady()` |
| 视频 | `isBailianE2EVideoEnabled() && isDashScopeE2EReady()` |
| OpenAPI AK/SK | `isOpenApiE2EReady()``.env` 中必须同时提供完整 AK/SK |
| 视频 download/task | 另需 `BAILIAN_E2E_VIDEO_TASK_ID` |
| 知识库 chat/search live | `isChatE2EReady()` / `isSearchE2EReady()``knowledge chat/search`,需 `BAILIAN_WORKSPACE_ID` + agent ID |
## 用例类型
1. **分组 help**`runCli(["image"])``exitCode === 0`stdout+stderr 含子命令名
2. **--help**`runCli([..., "--help"])` → stderr 含主要 flags
3. **缺参**`--non-interactive` 且不传 required flag → `exitCode === 2`stderr 匹配 `--flag|Missing required argument`
4. **--dry-run**:仅当实现在联网/上传/写盘**之前**返回;断言 stdout JSON/文本,不入网
5. **真实集成**:保留既有用例名称与断言;放在 skip 块**末尾**
1. **--help**`runCommandE2e(ROUTES, [..., "--help"])` → stderr 含主要 flags
2. **缺参**:带无害全局 flag`--quiet`)且不传 required flag → `exitCode === 2`
3. **--dry-run**:实现在联网/上传/写盘**之前**返回;断言 stdout JSON/文本
4. **真实集成**:放在 skip 块**末尾**
## Journey 层(用户旅程全链路)
- **定位**:命令 E2E 验单命令契约journey 验“用户带着目标跨命令走通回路”,结构性断言不在 journey 重复
- **闭环断言**fixture 埋独特标记词,以“标记词能否被召回”判定回路闭合;硬断言 fail软断言 `recordSoft` 落报告人工复核
- **日志产物**`createJourneyReporter``test/output/<session>/` 落盘 `journey-report.md`、分步 stdout/stderr、`resources.json`(未清理资源警示)
- **入口**`pnpm run test:journey`;旅程清单与约定见 [journeys/README.md](../../packages/commands/tests/e2e/knowledge/journeys/README.md)
- **新增命令时**:评估是否属于某条旅程的环节,是则纳入对应 journey 并更新 README 映射表
## 增删命令同步
- **commands export** + **topic 路由**`topic-routes.ts` 或测试文件内 `ROUTES`+ **产品 map**`cli/commands.ts` / `kscli/commands.ts`
- 分组 help 由产品 `registry.smoke` 负责,无需在 commands 重复
## 安全与例外
- **禁止真实破坏性操作**`auth logout` 只用 `--dry-run``config set` 只用 `--dry-run`
- **禁止破坏真实用户配置**`auth logout` 默认只用 `--dry-run`需要验证实际落盘时,必须通过
`BAILIAN_CONFIG_DIR` 指向隔离 fixture`config set` 只用 `--dry-run`
- **不加 dry-run**`dryRun``resolveFileUrl` / `resolveCredential` / 上传**之后**的命令(如 `image edit``speech recognize``--url`
- **`--list-voices` 等旁路**:先于 `--text` 校验的 flag缺参用例勿带该 flag
- 新增 required option → 至少一条缺参用例;改 dry-run 输出 → 更新对应断言
## 新增 command 检查清单
- [ ] `commands/catalog.ts` 登记 + `tests/e2e/<topic>.e2e.test.ts`(新建或扩展)
- [ ] 若改了 `usage` / `options` / `examples`,跑 `pnpm --filter bailian-cli run generate:reference` 更新 `skills/bailian-cli/reference/` 并提交
- [ ] 顶层:分组 help + 子命令 `--help`(多子命令则各一条 help
- [ ] `packages/commands/src/index.ts` 导出 + `packages/cli/src/commands.ts` 暴露路径 + `topic-routes.ts` 补最小路由
- [ ] `packages/commands/tests/e2e/<topic>.e2e.test.ts`(新建或扩展)
- [ ] 若改了 `usageArgs` / `flags` / `exampleArgs`,跑 `pnpm --filter bailian-cli run generate:reference` 更新各 `skills/<skill>/reference/` 并提交
- [ ] 子命令 `--help`(分组 help 由 bl `registry.smoke` 覆盖)
- [ ] skip 块:每个 required flag 缺参;可 dry-run 则加一条
- [ ] 至少一条真实集成(或说明为何仅 smoke不破坏已有集成用例顺序
- [ ] `pnpm test packages/cli/tests/e2e/<file>` 通过
- [ ] `vp test packages/commands/tests/e2e/<file>` 通过
## 调试命令
```sh
pnpm --filter bailian-cli-commands exec vp test packages/commands/tests/e2e/text-chat.e2e.test.ts
pnpm --filter bailian-cli exec vp test packages/cli/tests/e2e/registry.smoke.e2e.test.ts
pnpm --filter knowledge-studio-cli exec vp test packages/kscli/tests/e2e/registry.smoke.e2e.test.ts
pnpm --filter bailian-cli-runtime exec vp test packages/runtime/tests/proxy.e2e.test.ts
```
## 示例片段
```ts
import { FOO_ROUTES } from "./topic-routes.ts";
test("foo bar 缺少 --prompt 时退出为用法错误 (2)", async () => {
const { stderr, exitCode } = await runCli(["foo", "bar", "--non-interactive"]);
const { stderr, exitCode } = await runCommandE2e(FOO_ROUTES, ["foo", "bar", "--quiet"]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/--prompt|Missing required argument/i);
});
test("foo bar --dry-run 仅输出计划", async () => {
const { stdout, stderr, exitCode } = await runCli([
const { stdout, stderr, exitCode } = await runCommandE2e(FOO_ROUTES, [
"foo",
"bar",
"--dry-run",
"--prompt",
"x",
"--non-interactive",
"--output",
"json",
]);
@@ -97,4 +151,4 @@ test("foo bar --dry-run 仅输出计划", async () => {
- **E2E**:单条/少量调用、断言固定、可进 `vp test`(见上文 skip 条件)
- **批量压测**`packages/cli/tests/stress/run.mjs` + `targets/*.mjs`,并发 + 报告,**仅手动** `pnpm run test:stress -- <target>`
勿把压测并入 E2E 或默认 CI。详见 [stress-batch-tests.md](stress-batch-tests.md)
勿把压测并入 E2E 或默认 CI。详见 [stress-batch-tests.md](stress-batch-tests.md).
+95 -51
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@@ -5,89 +5,133 @@
- 增加新的 `bl xxx` 命令
- 删除已有命令
- 重命名命令(包括从单级 `bl x` 改成 `bl x y` 或反向)
- 调整某个 shared command 在 `bl` / `kscli` 等产品入口里的暴露路径
## 命令路径与文件路径的对应规则
## 命令实现与产品路径的关系
命令实现住在 `packages/commands`,产品路径由入口包决定。实现文件路径按能力组织,但不再等同于最终命令路径。
```
单级命令(无 group): commands/<name>.ts ↔ bl <name>
例: commands/update.ts ↔ bl update
两级命令(有 group): commands/<group>/<action>.ts ↔ bl <group> <action>
例: commands/text/chat.ts ↔ bl text chat
三级命令(子组,慎用): commands/<group>/<sub>/<action>.ts ↔ bl <group> <sub> <action>
例: commands/memory/profile/create.ts ↔ bl memory profile create
仅当子组下有 ≥2 个 action 时合理(否则拍平到两级)
实现文件:
packages/commands/src/commands/knowledge/retrieve.ts
↓ packages/commands/src/index.ts export { default as knowledgeRetrieve }
产品入口:
packages/cli/src/commands.ts "knowledge retrieve": knowledgeRetrieve ↔ bl knowledge retrieve
packages/kscli/src/main.ts "retrieve": knowledgeRetrieve ↔ kscli retrieve
```
文件路径与命令路径必须 1:1 对齐。
常见路径形态:
```
单级命令: packages/commands/src/commands/update.ts ↔ bl update
两级命令: packages/commands/src/commands/text/chat.ts ↔ bl text chat
子组命令: packages/commands/src/commands/memory/profile-get.ts ↔ bl memory profile get
```
子组要慎用:只有子组下有 ≥2 个 action 时才合理,否则优先拍平到两级。
## CLI 命令注册架构(必读)
命令元数据以 **`catalog.ts` 为单一登记处**;`registry.ts` 负责解析与打印 help,不再内嵌命令表或手写 Resources 列表
`packages/commands` 是命令库,只导出单个 command;不内置 path presets,不关心 `bl` / `kscli`。每个产品入口传入自己的 command map,`runtime` 负责解析、help、鉴权、遥测、执行
```
commands/<...>.ts defineCommand({ name, description, usage, options, examples, run })
packages/commands/src/commands/<...>.ts
defineCommand({ auth, flags, usageArgs, exampleArgs, validate, run })
commands/catalog.ts export const commands: Record<string, Command>
packages/commands/src/index.ts
export { default as xxxCommand } from "./commands/...ts"
┌──────────────────────────────┬─────────────────────┐
↓ ↓ ↓ ↓
registry.ts main.ts tools/generate-reference.ts export-schema.ts
(解析/help) (入口) → skills/bailian-cli/reference/index.md + <group>.md
┌──────────────────────────────┬──────────────────────────────
│ packages/cli/src/commands.ts │ packages/kscli/src/main.ts │
│ { "text chat": textChat } │ { "retrieve": knowledge... } │
└──────────────┬───────────────┴──────────────┬───────────────┘
↓ ↓
createCli(commands, identity) → runtime registry/help/middleware
tools/generate-reference.ts reads packages/cli/src/commands.ts
```
- **`packages/cli/src/commands/catalog.ts`**: `import` 命令模块 + `"<path>": handler` 映射;**不** `import registry.ts`(避免构建时循环依赖)
- **`packages/cli/src/commands/index.ts`**: `export { commands } from "./catalog.ts"`(给包内 re-export 用)
- **`packages/cli/src/registry.ts`**: `import { commands } from "./commands/catalog.ts"`,建树、`resolve``printHelp`;Commands / Global Flags 从 `Command` 元数据与 `GLOBAL_OPTIONS` **动态生成**
- **`tools/generate-reference.ts`**: pre-commit / `pnpm run sync:skill-assets` 时读 `catalog.ts`,写 `skills/bailian-cli/reference/index.md`(索引) + `skills/bailian-cli/reference/<一级命令>.md`(详情,勿手改)。该目录**纳入 git**,随 `npx skills add modelstudioai/cli` 分发
- **`packages/commands/src/commands/<...>.ts`**:命令实现;`usageArgs` / `exampleArgs` 只写参数片段,不写 `bl` / `kscli` 前缀
- **`packages/commands/src/index.ts`**:导出命令实现;新增命令必须在这里 re-export
- **`packages/cli/src/commands.ts`**:`bl` 产品命令 map;新增/删除/重命名 `bl` 命令必须改这里
- **`packages/kscli/src/main.ts`**:`kscli` 产品命令 map;只有该入口需要暴露/变更时才改
- **`packages/runtime/src/registry.ts`**:通用 registry,从传入 map 建树;不要在这里登记业务命令
- **`tools/generate-reference.ts`**:pre-commit / `pnpm run sync:skill-assets` 时读 `packages/cli/src/commands.ts`,按 `GROUP_OWNER_SKILL` 归属表分流写到各 `skills/<skill>/reference/index.md` + `<一级命令>.md`。未显式归属的一级组默认进 `bailian-cli`。各目录**纳入 git**,勿手改。新增一级命令组若应归领域 skill,记得改归属表。
已删除勿再引用:`commands/help.ts``registry.ts` 内联 `new CommandRegistry({...})``printRootHelp` 手写命令行
已删除/勿再引用:旧的 `packages/cli/src/commands/catalog.ts`、旧的 `packages/cli/src/commands/index.ts` catalog re-export、`packages/cli/src/registry.ts``skipDefaultApiKeySetup``ensureApiKey` 启动拦截、`config/export-schema.ts`
## 必查清单
### A. 代码层
### A. 命令库
- [ ] **新建/删除/移动**对应的 `packages/cli/src/commands/<...>.ts` 文件
- [ ] **`packages/cli/src/commands/catalog.ts`**:
- 增删 `import xxx from "./.../xxx.ts"`
- `export const commands` 里增删 `"<group> <action>": xxx`(key 与 `defineCommand({ name })` 一致)
- [ ] **不要**在 `registry.ts` 里重复登记命令(已从 catalog 读取)
- [ ] 如果命令需要跳过入口的默认 DashScope API key 引导(`ensureApiKey`),在对应 `defineCommand` 上设 `skipDefaultApiKeySetup: true`(字段定义见 `packages/core/src/types/command.ts`;`main.ts` 根据已解析的 `command` 读取)
- [ ] **`config/export-schema.ts`**: 若新命令不适合作为 agent tool,评估是否加入 `SKIP_PREFIXES`;该文件在 `run()``import("../catalog.ts")`,勿顶层 import catalog 以免循环依赖
- [ ] 新建/删除/移动对应的 `packages/commands/src/commands/<...>.ts`
- [ ] `defineCommand` 字段使用当前 schema:
- `auth: "apiKey" | "console" | "openapi" | "none"`
- `flags`(camelCase key,由 runtime 渲染为 kebab-case)
- `usageArgs`(不含 bin/path 前缀)
- `exampleArgs`(不含 bin/path 前缀)
- `validate`(跨 flag 校验)
- 普通业务命令的 `run(ctx)` 只读 `ctx.flags` / `ctx.settings` / `ctx.client`
- `commands/auth/**` 可用 `ctx.authStore`,`commands/config/**` 可用 `ctx.configStore`;不要把这些持久化能力扩散到普通业务命令
- `commands/plugin/**` 可用 `ctx.commandPacks`;产品 policy 由 runtime 绑定,命令不要自行 import 产品入口
- [ ] 用户可见 Help 文案在命令文件中就近提供 `en-US` / `zh-CN`:命令 `description`、flag `description``notes` 和包含自然语言的 `exampleArgs`;纯命令语法示例可保留为字符串,服务端错误不翻译
- [ ] `packages/commands/src/index.ts`:新增或移除对应 export
- [ ] 如果命令调用 Console Gateway,设置 `auth: "console"`;不要重复声明 console 凭证域 flags
- [ ] 如果命令不需要网络或自己管理配置/登录,设置 `auth: "none"`;不要绕过 runtime auth stage
### B. 文档层
### B. 产品入口
- [ ] 运行 `pnpm run sync:skill-assets`(或正常 `git commit` 走 pre-commit),刷新 `skills/bailian-cli/reference/``SKILL.md` `metadata.version` 并提交
- [ ] `README.md` / `README.zh.md`: Quick Start、命令一览(用户向,与 help 对齐即可)
- [ ] `skills/bailian-cli/SKILL.md`: 若安装说明或能力边界有变,同步更新
- [ ] `packages/cli/src/commands.ts`:按需增删 `import` `commands` map key
- [ ] 新 map key 就是 `bl` 下的命令路径;重命名时全仓 grep 旧路径字符串
- [ ] 如果 `kscli` 入口也要暴露/移除该能力,同步 `packages/kscli/src/main.ts`
- [ ] 不要在 `packages/runtime/src/registry.ts``create-cli.ts` 里写业务命令表
### C. 测试
### C. 文档
- [ ] 按 [cli-e2e-tests.md](cli-e2e-tests.md) 新建或更新 `packages/cli/tests/e2e/<topic>.e2e.test.ts`
- [ ] 删除命令时一并删对应 e2e
- [ ] 运行 `pnpm run sync:skill-assets`(或正常 `git commit` 走 pre-commit),刷新各 `skills/<skill>/reference/``SKILL.md``metadata.version` 并提交
- [ ] `README.md` / `README.zh.md`:Quick Start、命令一览、认证说明(用户向,与 help 对齐)
- [ ] 相关 `skills/<skill>/SKILL.md`:若安装说明或能力边界有变,同步更新;新一级命令组若属领域 skill,同步改 `tools/generate-reference.ts``GROUP_OWNER_SKILL`
- [ ] **拥有方** skill 的「When to use which command」(或等价路由表)补上新意图;hub `bailian-cli` 仅加/改 hand-off 行,**不要**把领域子命令与默认模型抄进 hub 表(约定见 [skill-change.md](skill-change.md))
### D. 重命名特殊处理
### D. 测试层
- [ ] 按 [cli-e2e-tests.md](cli-e2e-tests.md) 新建或更新 `packages/commands/tests/e2e/<topic>.e2e.test.ts`
- [ ] 同步 `packages/commands/tests/e2e/topic-routes.ts`(该 topic 的最小 path → export 映射)
- [ ] bl 产品 path 变更由 `registry.smoke` 自动覆盖kscli 变更同步 `kscli/src/commands.ts``registry.smoke`
- [ ] 删除命令时一并删对应 commands e2e / README 示例 / reference / topic 路由条目
- [ ] 如果 shared command 在不同入口路径下复用,至少确保 commands e2e 覆盖 `bl` path`kscli` 入口改动需补对应 smoke 或说明不测 flat path live
### E. 重命名特殊处理
- [ ] 全仓 grep **旧命令名字符串**,确保以下位置全部更新:
- `catalog.ts` key
- error hints(cli 层)
- `skills/bailian-cli/reference/`(重建后检查并提交)
- README 示例
- 测试断言
- `packages/cli/src/commands.ts` map key
- `packages/kscli/src/commands.ts` map key(如适用)
- 用户可见 hint / README / tests
- `skills/*/reference/`(重建后检查并提交)
- [ ] 检查 `usageArgs` / `exampleArgs` 没有硬编码旧的 `bl <path>` 前缀
## 完成后自查
```sh
pnpm run sync:skill-assets # reference/ + SKILL metadata.version 与 catalog / package.json 一致
node packages/cli/src/main.ts <new-command> --help
node packages/cli/src/main.ts # 根 help 列表含新命令
vp test packages/cli/tests/e2e/<topic>.e2e.test.ts # 相关 e2e
pnpm run sync:skill-assets
pnpm -F bailian-cli exec tsx src/main.ts <new-command> --help
pnpm -F bailian-cli exec tsx src/main.ts
vp test packages/commands/tests/e2e/<topic>.e2e.test.ts
```
如改了 `kscli` 入口:
```sh
pnpm -F knowledge-studio-cli exec tsx src/main.ts <command> --help
```
## 常见漏点
- ✗ 只改了命令文件,忘了 **`catalog.ts`** → 命令不存在或 help 里没有
-手改 **`skills/bailian-cli/reference/*.md`** → 下次 generate 被覆盖;应改 `defineCommand` 后重新 generate 并提交
- `export-schema.ts` 顶层 `import catalog` → 可能与 registry 循环依赖
- ✗ 只新增 `packages/commands/src/commands/...` 文件,忘了在 `packages/commands/src/index.ts` 导出
-只导出了命令实现,忘了在 `packages/cli/src/commands.ts` 暴露路径 → `bl --help` 看不到
-手改 `skills/*/reference/*.md` → 下次 generate 被覆盖;应改 command metadata 后重新 generate 并提交
- ✗ 新一级命令组忘改 `tools/generate-reference.ts``GROUP_OWNER_SKILL` → reference 会落到 hub `bailian-cli`(未必是预期)
- ✗ 只改 reference / hub,忘改拥有方 skill 路由表;或把领域命令明细重新抄回 `bailian-cli` SKILL → 与 [skill-change.md](skill-change.md) 分层冲突
- ✗ 在 `usageArgs` / `exampleArgs` 写死 `bl text chat``kscli` 等入口复用时 help 错
- ✗ Console Gateway 命令忘设 `auth: "console"` → console flags / credential 注入都不生效
- ✗ 单 action 的子组是反模式,新增时优先拍平为两级
+17 -16
View File
@@ -11,25 +11,26 @@
### A. 命令文件本身
- [ ] `packages/cli/src/commands/<group>/<action>.ts`:
- `defineCommand({ options: [...] })` 数组里增删/改 `{ flag, description, type, required }`
- `usage` 字段(如 `"bl text chat --message <text> [flags]"`)反映新签名
- `examples` 数组覆盖新 flag 至少一个示例
- `run()`读取 flag 的代码:
- 类型转换正确(`type: "number"``flags.x as number`,`"array"``as string[]`)
- 必填校验:`if (!flags.x) failIfMissing("x", ...)` 或交互式 prompt
- 默认值 fallback
- [ ] `packages/commands/src/commands/<group>/<action>.ts`:
- `defineCommand({ flags: { ... } })` 里增删/改 camelCase flag key 与 `{ type, valueHint, description, required }`
- `usageArgs` 字段只写参数片段(如 `"--message <text> [flags]"`),不写 `bl <path>`
- `exampleArgs` 数组覆盖新 flag 至少一个示例,同样不写 bin/path 前缀
- `run()`只从 `ctx.flags` 读取本命令 flag,从 `ctx.settings` 读取全局/config 解析结果
- 类型`ParsedFlags<typeof FLAGS>` 推导;避免手写 `flags.x as number` 这类断言
- 单 flag 必填用 `required: true`;跨 flag / 值相关校验放 `validate`
- 默认值 fallback 写在命令实现或 `Settings` 解析层,不要重复解析 env/config
### B. 鉴权 / 全局选项
- [ ] 如果是**全局 flag**(所有命令通用),改 `packages/core/src/types/command.ts``GLOBAL_OPTIONS`
- [ ] 如果 flag 影响 `Config`,改 `packages/core/src/config/schema.ts` `Config` 接口
- [ ] 如果对应 env var,改 `packages/core/src/config/loader.ts``loadConfig`
- [ ] 如果是**全局 flag**(所有命令通用),改 `packages/core/src/types/command.ts``GLOBAL_FLAGS`
- [ ] 如果是凭证域 flag,优先确认是否属于 `MODEL_AUTH_FLAGS` `CONSOLE_AUTH_FLAGS`;不要在单个命令里重复声明
- [ ] 如果新 flag 影响有效配置面,改 `packages/core/src/config/schema.ts``Settings` 接口
- [ ] 如果对应 env var 或 config 文件字段,改 `packages/core/src/config/loader.ts``buildSettings`
### C. 文档层
- [ ] `README.md` / `README.zh.md` 如果在示例里展示了相关命令,补充新 flag
- [ ]`pnpm --filter bailian-cli run generate:reference`,让 `skills/bailian-cli/reference/` 与命令一致(勿手改;改完提交)
- [ ]`pnpm --filter bailian-cli run generate:reference`,让 `skills/<skill>/reference/` 与命令一致(勿手改;改完提交)
### D. 测试层
@@ -44,13 +45,13 @@
## 完成后自查
```sh
node packages/cli/src/main.ts <command> --help # 看新 flag 出现在 Options
node packages/cli/src/main.ts <command> --new-flag x # 实测一遍
pnpm -F bailian-cli exec tsx src/main.ts <command> --help # 看新 flag 出现在 Flags
pnpm -F bailian-cli exec tsx src/main.ts <command> --new-flag x # 实测一遍
```
## 常见漏点
- ✗ 加 `type: "number"``String(flags.x)` 触发 lint 警告(参考已修过的 memory/list.ts)
- ✗ 加了 array 型 flag 但没考虑用户可能传多次
- ✗ 改默认值忘记更新 description 里的 "(default: xxx)" 文案
-Required flag 缺失时直接抛硬错而不是 prompt(交互友好性问题,参考已实现 prompt 的命令文件作为示例)
-`usageArgs` / `exampleArgs` 里写死 `bl <path>`,导致其它产品入口复用时 help 错
- ✗ required flag 缺失又在 `run()` 里重复手写校验,与 parser/`validate` 的错误文案不一致
+56
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@@ -0,0 +1,56 @@
# Command Pack 维护
## 触发条件
- 新增或移除 Command Pack 包
- 调整包白名单、允许的命令前缀或协议字段
- 修改 `plugin install/link/list/remove`
- 修改 Command Pack 加载、隔离、兼容性或独立安装目录
## 分层边界
- `packages/core/src/types/command-pack.ts`:稳定的协议元数据和导出类型,不知道具体产品或白名单。
- `packages/runtime/src/command-packs/`:所有 CLI 共用的加载、校验、API 适配、产品隔离安装目录和 manager 实现。
- `packages/runtime/src/create-cli.ts`:始终接收静态 command map`CliOptions.commandPacks` 统一合并 pack并把已绑定产品 identity/policy 的 manager 注入 `ctx.commandPacks`
- `packages/commands/src/commands/plugin/`:普通共享管理命令,只依赖 `ctx.commandPacks`,不 import 任何产品 policy。
- `packages/cli/src/command-pack-policy.ts``bl` 支持的包、命令前缀和凭据授权。
- `kscli` 当前不传 `commandPacks`,使用 runtime 的默认空 policy。
- 当前只有 `bl``bailian-cli-commands` 导入并登记 `plugin *`;使用默认空 policy 的产品不提前暴露管理命令。
不要把产品白名单写进 core/runtime也不要通过扫描全局 `node_modules` 自动发现包。通用机制放 runtime产品差异只由 policy 表达。
## 安全与兼容性清单
- [ ] 包名必须精确命中当前产品 policy 的 `supported`,命令路径必须位于该包允许的前缀。
- [ ] 正式安装只接受包名加 version/tag本地目录只走 `plugin link`
- [ ] npm 使用独立安装目录和 `--ignore-scripts`,不污染 CLI 自身依赖树。
- [ ] npm 子进程只继承明确允许的 registry/config/cache/proxy/TLS 配置,不通配透传 pnpm 注入的 `npm_config_*`
- [ ] 安装目录按 `identity.npmPackage` 隔离,不能让一个产品安装/删除另一个产品的 pack。
- [ ] 安装目录只隔离依赖位置不隔离执行权限Command Pack 必须视为 CLI 进程内的完全可信代码。
- [ ] 入口 realpath 不能逃逸包根目录。
- [ ] 加载前检查 `type``apiVersion``minCliVersion`;报告状态只使用 `loaded/failed`,具体原因写入 `error`
- [ ] Command Pack 不能覆盖内置命令、其他 pack 命令或重声明保留 flag。
- [ ] 普通网络请求走 `ctx.client`;基础 Context 提供 `identity/settings/flags/client/output/errors`,不提供原始凭据。
- [ ] `ctx.credentials.apiKey()` 仅限 policy 显式声明 `credentialAccess: ["apiKey"]`,且命令自身为 `auth: "apiKey"`
- [ ] 不向 Command Pack 暴露原始 Console Token、OpenAPI AK/SK、`authStore``configStore`
- [ ] 不向 Command Pack 暴露宿主的 `commandPacks` manager避免 pack 安装或删除其他 pack。
- [ ] 单包失败必须 fail-open保留内置命令和其他合法 pack。
- [ ] 破坏协议前优先在适配层兼容;确实无法兼容时才提升 `apiVersion`
## 测试与文档
- [ ] `packages/runtime/tests/command-packs.test.ts` 覆盖产品 policy、安装目录隔离、协议版本、前缀和导出契约。
- [ ] `packages/cli/tests/e2e/command-packs.e2e.test.ts` 覆盖 help、link、执行、output/errors、凭据授权、list、remove。
- [ ] `packages/kscli/tests/e2e/command-packs.e2e.test.ts` 覆盖统一 host 和 runtime 默认空 policy 下不暴露管理命令。
- [ ] fixture 的包名必须在测试白名单内,且构建入口不依赖工作区运行时解析。
- [ ] 更新生成的 `skills/bailian-cli/reference/plugin.md`(或归属表指定的 skill reference公开 `README.md` / `README.zh.md` 等正式对外发布时再补。
验证:
```sh
vp test packages/runtime/tests/command-packs.test.ts
vp test packages/cli/tests/e2e/command-packs.e2e.test.ts
vp test packages/kscli/tests/e2e/command-packs.e2e.test.ts
pnpm run sync:skill-assets
vp check
```
+19 -19
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@@ -11,46 +11,46 @@
```
flag (--xxx) ─┐
├─ loadConfig() 合并 ─→ Config(运行时单一对象)
├─ buildSources() + buildSettings() ─→ Settings(命令读取面)
env (XXX=yyy) ─┤
config 文件 ─┘
~/.bailian/config.json
```
优先级一般是 **flag > env > config 文件 > 默认值**,具体见 `core/config/loader.ts`
优先级一般是 **flag > env > config 文件 > 默认值**,具体见 `packages/core/src/config/loader.ts`
## 必查清单
### A. 类型定义
- [ ] `packages/core/src/config/schema.ts`:
- `Config`(运行时形状)加新字段
- `Settings`(运行时有效配置面)加新字段
- `ConfigFile`(disk 形状,snake_case)加新字段(如果允许写文件)
- `parseConfigFile()` 解析新字段
- 如果是 enum 字段,加校验
### B. 加载逻辑
- [ ] `packages/core/src/config/loader.ts:loadConfig()`:
- 加新字段的合并逻辑(`flags.x ?? process.env.XXX ?? file.x ?? default`)
- [ ] `packages/core/src/config/loader.ts`:
- `buildSources()` 如需新增来源,把 flag/file/env 纳入 sources
- `buildSettings()` 加新字段的合并逻辑(`flags.x ?? process.env.XXX ?? file.x ?? default`)
- 校验(数值范围、枚举合法性等)
- 校验失败抛 `BailianError(USAGE)`
### C. 全局 flag(如果加的是 flag)
- [ ] `packages/core/src/types/command.ts:GLOBAL_OPTIONS` 数组
- [ ] `registry.ts``buildGlobalFlagLines` 会**自动**从 `GLOBAL_OPTIONS` 生成 `bl --help` `reference/index.md` 的全局 flag 段,无需手写
- [ ] flag 的 type 标注(`boolean` / `number` / `array`),让 args.ts 正确解析
- [ ] `packages/core/src/types/command.ts:GLOBAL_FLAGS`
- [ ] `packages/runtime/src/registry.ts` 会**自动**从 `GLOBAL_FLAGS` 生成 root help;`tools/generate-reference.ts` 会生成 `reference/index.md` 的全局 flag 段
- [ ] flag 的 type 标注(`switch` / `boolean` / `number` / `array` / `string`),让 `packages/runtime/src/args.ts` 正确解析
- [ ] 改完全局 flag 后跑 `pnpm --filter bailian-cli run generate:reference`
### D. 命令使用方
- [ ] 用到新字段的命令文件直接读 `config.xxx`,不要重复解析
- [ ] 用到新字段的命令文件直接读 `ctx.settings.xxx`,不要重复解析 env/config
- [ ] 配置展示 / 修改命令同步:
- `packages/cli/src/commands/config/show.ts` 显示新字段
- `packages/cli/src/commands/config/set.ts` 允许 set
- `packages/cli/src/commands/config/export-schema.ts` 在 schema 输出里
- `packages/commands/src/commands/config/show.ts` 显示新字段
- `packages/commands/src/commands/config/set.ts``VALID_KEYS` / `KEY_ALIASES` / description 允许 set
### E. 文档
@@ -66,19 +66,19 @@ config 文件 ─┘
```sh
# 三个来源都试一遍
node packages/cli/src/main.ts config show --output json | grep <new-field>
XXX=value node packages/cli/src/main.ts config show --output json | grep <new-field>
node packages/cli/src/main.ts config show --xxx value --output json | grep <new-field>
pnpm -F bailian-cli exec tsx src/main.ts config show --output json | grep <new-field>
XXX=value pnpm -F bailian-cli exec tsx src/main.ts config show --output json | grep <new-field>
pnpm -F bailian-cli exec tsx src/main.ts config show --xxx value --output json | grep <new-field>
# 写到文件
node packages/cli/src/main.ts config set --key <key> --value <value>
# 写到文件(会改用户 HOME,必要时先用临时 HOME)
pnpm -F bailian-cli exec tsx src/main.ts config set --key <key> --value <value>
cat ~/.bailian/config.json
```
## 常见漏点
-`Config` 接口加字段但 `loadConfig` 没填,运行时永远 undefined
-`Settings` 接口加字段但 `buildSettings` 没填,运行时永远 undefined
-`ConfigFile` 用 camelCase 字段名(disk schema 应该是 snake_case)
- ✗ 全局 flag 没标 `type: "boolean"`,被当成需要值的 `--xxx <value>`
- ✗ 全局 switch 没标 `type: "switch"`,被当成需要值的 `--xxx <value>`
- ✗ 加了 env var 但 README 表格没更新,用户不知道有这条
-`config show` 不显示新字段,用户改了无法回查
+78
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@@ -0,0 +1,78 @@
# Config Profile 与激活状态变更清单
适用于新增 Profile 预设、修改命名 Profile 选择规则、调整 `active_config`,或新增/修改 `bl config list/use/show/ui` 等 Profile 管理能力。
## 1. 保持存储边界
- Profile 业务字段继续由 `ConfigFile` / `CONFIG_FILE_KEYS` 管理。
- `active_config``config.json` 顶层元数据,不得进入命名 Profile block也不得被 `config set` 当作普通字段写入。
- 识别命名 Profile 时必须排除业务字段和顶层元数据。
- 旧配置缺少 `active_config` 时继续等价于激活 `default`
## 2. 保持选择语义
```text
显式 --config <name> > active_config > default
```
- 解析阶段用局部变量保留“是否显式传入 `--config`”的信息;完成 Config 选择后不进入 `Settings`
- `--config default` 必须显式选择顶层配置并绕过命名激活项。
- 普通命令的显式 `--config` 只覆盖本次选择,不修改持久化激活状态;例外是
`auth login --config ...`,凭证验证并落盘成功后自动激活该 Profile。
- 激活状态只选择配置 block不改变字段优先级字段仍为 flag > env > selected config > 默认值。
- Pipeline 等进程内调用链也要复用统一的 `buildSources()`,避免绕过激活状态。
- Console access token 自动刷新等后台读写必须携带 `settings.configName`,不得直接读写顶层 default。
## 3. 保持读写命令交互一致
- `auth login``config set` 等写命令未传 `--config` 时修改当前激活项。
- `auth login --config <name>` 显式指定不存在的 Profile 时,仅在凭证验证成功并实际落盘时
创建和激活;`config set --config <name>` 可创建但不自动激活。
- `config show``auth status` 和业务消费等读命令不得因为显式指定不存在的名称而创建 Profile。
- `auth logout` 默认只清理当前激活项;显式 `--config` 只清理指定项。
- 按凭证域退出时必须清理该域的完整字段集合,例如 OpenAPI 同时清理 AK、SK 和 STS `security_token`
- 所有生产代码读取“当前配置”时优先经过 `buildSources()` 或携带解析后的 `configName`;直接调用无名称的 `readConfigFile()` / `writeConfigFile()` 只适用于明确操作顶层 default 的底层能力。
## 4. 保持状态一致性
- `config use` 只能激活已经存在的命名 Profile`default` 始终有效。
- 配置文件中的 `active_config` 指向不存在的 Profile 时返回 usage error不静默回退。
- 删除当前激活的命名 Profile 时,同一次落盘切回 `default`,不得留下悬空引用。
- 配置写入继续使用临时文件 + rename避免中断后留下半写文件。
## 5. 命令与展示联动
- 新增/重命名命令时同步 `packages/commands/src/index.ts` 和产品入口 `packages/cli/src/commands.ts`
- `config list` 标识所有 Profile 与当前激活项。
- `config show``auth status` 只输出本次最终选择的 `config``config_file`,不重复携带激活状态。
- `config ui` 从持久化元数据读取激活项,提供显式激活操作,并在删除激活项后刷新为 `default`
- `config ui` 展示并可编辑完整 `ConfigFile`(含 `console_*``telemetry`),保存时按类型(数字/布尔/枚举)归一化写回;`config set` 仍只暴露较窄的 `VALID_KEYS`。UI 未管理的顶层元数据(如 `active_config`)不进入 Profile block仍由写盘逻辑单独保留。
- `config ui` 只读展示本地 agent 生态Skills 跨全部 agent skill 目录(`~/.agents/skills` 及各 agent 的 `skills/`,含软链接)按 id 聚合并标注安装来源MCP、Agents 从各 agent 本地配置读取。
- `config ui` 提供 Assets 资产管理:扫描 `output_dir`(默认 `~/bailian-output`)下的 `images/videos/speech/omni` 分类及根目录散落文件按分类与生成时间mtime标记支持按分类筛选、内联预览图/视频/音频)与删除单个文件;文件读取与删除均通过限定在输出目录内的路径校验(防目录穿越)。
- 同步 E2E topic routes、Skill setup 和自动生成 reference。
## 6. 最小测试矩阵
- 旧配置无 `active_config` -> `default`
- 激活命名 Profile 后,无 `--config` 的命令选择该 Profile。
- 显式命名 `--config``--config default` 均覆盖激活项且不修改磁盘状态。
- 激活不存在的 Profile 失败且不写盘。
- 悬空 `active_config` 明确失败。
- 删除激活 Profile 后切回 `default`
- 登录、退出、`config set` 分别覆盖“当前激活项”和“显式不存在名称成功后创建”。
- 显式 `auth login --config <name>` 成功后激活该 Profile失败或 dry-run 不创建、不切换;
`--config default` 成功后切回 `default`
- Console token 自动刷新不从其他 Profile 借用 AK/SK也不把新 token 写入其他 Profile。
- `config list/show/use/ui``auth status` 和依赖默认模型的消费命令覆盖对应 E2E。
- `config ui` 覆盖保存时保留顶层元数据(如 `active_config`),继续允许空值清除字段,并覆盖 `console_*`/`telemetry` 的类型归一化与枚举校验。
- Assets:`listAssets` 覆盖分类归类、时间倒序、目录缺失返回空;`resolveAssetPath` 覆盖目录穿越拦截;`contentType` 覆盖常见扩展名映射。
## 7. 完成检查
```sh
pnpm run sync:skill-assets
vp check
vp test
```
命令 E2E 会启动本地子进程Config UI 测试还会监听 `127.0.0.1` 临时端口;受限沙箱内出现 `EPERM` 时,需要在允许本地进程和端口的环境中复跑。
+27 -21
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@@ -3,8 +3,8 @@
## 触发条件
- 修改 `BailianError` 的 message 或 hint
- 调整 cli 的 hint 增强逻辑(`enhanceHint`)
-ensure-key 的 setup 流程文案
- 调整 runtime 的 hint 增强逻辑(`enhanceHint`)
-auth stage / resolver 的鉴权失败文案
- 改任何抛错位置的分类(exitCode)
> 注意:`mapApiError` **不再做错误分类**(参见下方"边界原则")。如果你想给某种 HTTP 错误码加白名单分类,请先回到本文档读完"边界原则"再说。
@@ -17,7 +17,7 @@
| ---------------------------------------------------- | -------- | ----------------------------------------------------------- |
| 命令解析、缺 flag、参数校验 | **内部** | `BailianError(USAGE)` |
| 文件 I/O(ENOENT/EACCES/...) | **内部** | `BailianError(GENERAL)` + errno-specific hint |
| 本地 credentials 缺失(resolver/ensure-key/AK-SK 等) | **内部** | `BailianError(AUTH)` |
| 本地 credentials 缺失(resolver / authStage 等) | **内部** | `BailianError(AUTH)` |
| `fetch` 自身失败(DNS/TCP/TLS/proxy) | **内部** | `BailianError(NETWORK)` + 读 `err.cause.code` 给 errno-hint |
| polling 客户端超时 | **内部** | `BailianError(TIMEOUT)` |
| HTTP 4xx/5xx、HTTP 200 + 业务错码、async task FAILED | **服务** | `BailianError(GENERAL)`,**message 原样透传**,不分类、不替换 |
@@ -39,9 +39,9 @@
```
core 抛出 BailianError(message, exitCode, hint, cause?)
↓ 沿调用栈冒泡
cli/main.ts: main().catch(handleError)
runtime/create-cli.ts: dispatch().catch(handleError)
cli/error-handler.ts:
runtime/error-handler.ts:
- 服务端错误(BailianError(GENERAL)) → text 直接打 message
- 内部 AUTH/USAGE/NETWORK/TIMEOUT → 走 enhanceHint(只 AUTH 还有增强)
- TypeError("fetch failed") → 读 err.cause.code 翻成 NETWORK
@@ -62,36 +62,42 @@ process.exit(err.exitCode)
- ❌ 不要回退到"401 → AUTH、429 → QUOTA"那套白名单
- ✅ message 把 status / apiCode / request_id 拼进去就够,exit 统一 GENERAL
- 例外:CLI **自己**因为本地状态产生的 BailianError(resolver、ensure-key 等)可以用语义化 exitCode
- 例外:CLI/runtime **自己**因为本地状态产生的 BailianError(resolver、authStage 等)可以用语义化 exitCode
### 3. core 的 hint 必须不含 cli 关切
- ❌ 不写 `bl xxx` 命令名
-不写控制台 URL 或 region
-不写渠道追踪参数(`source_channel=xxx`)
-新增/改动时不写 `bl xxx` 命令名
-新增/改动时不写 `kscli xxx` 等产品入口命令名
-新增/改动时不写控制台 URL 或 region
- ❌ 新增/改动时不写渠道追踪参数(`source_channel=xxx`)
- ✅ 只描述抽象做法(如 `"Set DASHSCOPE_API_KEY environment variable, or pass --api-key."`)
- 当前遗留:`packages/core/src/auth/resolver.ts` 仍含 `bl auth login` hint;触碰鉴权错误时迁到 runtime `enhanceHint`
### 4. cli 端可以自由使用 cli 命令名 + URL
### 4. runtime / 产品层可以使用入口名 + URL
- 命令文件、`error-handler.ts``utils/ensure-key.ts` 是 cli 层,内部可以写 `bl xxx`
- URL 必须从 `packages/cli/src/urls.ts` import,不能硬编码
- `packages/runtime/src/error-handler.ts` 通过 `binName` 渲染 `bl` / `kscli` 等入口名,不要硬编码
- 产品入口 / README / E2E 可以写具体入口命令
- shared command 实现不写 `bl` / `kscli` 前缀;`usageArgs` / `exampleArgs` 只写参数片段
- URL 必须从 `packages/runtime/src/urls.ts` import,不能硬编码
## 必查清单
### A. core 改动(message / hint)
- [ ] `packages/core/src/errors/api.ts``mapApiError`:**保持透传形态**,不要加白名单分支
- [ ] `packages/core/src/auth/resolver.ts` 改 throw 语句:hint 不含 cli 关切
- [ ] 任何 core 文件 throw 的 BailianError:同上
- [ ] `packages/core/src/auth/resolver.ts` 新增/改 throw 语句:hint 不含 cli 关切;已有 `bl auth login` 遗留点被触碰时要收敛
- [ ] 任何 core 文件新增/改 BailianError:同上
### B. cli 增强(`enhanceHint`)
### B. runtime 增强(`enhanceHint`)
- [ ] `packages/cli/src/error-handler.ts:enhanceHint`:**当前只为 internal AUTH 增强**(因为只有 resolver/ensure-key 等内部位置会发 AUTH)
- [ ] `packages/runtime/src/error-handler.ts:enhanceHint`:**当前只为 internal AUTH 增强**(因为 resolver / authStage 等内部位置会发 AUTH)
- [ ] 命令名使用 `binName`,不要硬编码 `bl`
- [ ] URL 必须是 `import { API_KEY_PAGE } from "./urls.ts"`
### C. cli 直接抛错(`ensure-key`、命令文件)
### C. command / runtime 直接抛错
- [ ] cli 层抛 BailianError 时,hint 里可以放 cli 命令,但 **URL 一律走 `urls.ts` import**
- [ ] runtime 层抛 BailianError 时,hint 里可以放 `binName` 渲染的入口命令,但 **URL 一律走 `urls.ts` import**
- [ ] `packages/commands` 作为 shared command 库,默认不硬编码产品 bin;如果确需用户操作提示,优先依赖 runtime error handler 或 `ctx.identity.binName`
- [ ] 抛错位置如果**已经在调用服务端**,catch 时不要替换 message——重新评估是否需要 catch
### D. 文案一致性
@@ -104,14 +110,14 @@ process.exit(err.exitCode)
```sh
# 触发对应错误,看 text 输出
HOME=/tmp/empty node packages/cli/src/main.ts text chat --message "x" --non-interactive
HOME=/tmp/empty pnpm -F bailian-cli exec tsx src/main.ts text chat --message "x"
# 看 JSON 输出(应包含 cause 字段当 cause 存在时)
HOME=/tmp/empty node packages/cli/src/main.ts text chat --message "x" --non-interactive --output json
HOME=/tmp/empty pnpm -F bailian-cli exec tsx src/main.ts text chat --message "x" --output json
# 模拟网络层错误,验证 errno 透传
DASHSCOPE_BASE_URL=https://nonexistent-host.invalid \
node packages/cli/src/main.ts text chat --message hi
pnpm -F bailian-cli exec tsx src/main.ts text chat --message hi
# 预期:"Network request failed: ENOTFOUND ..." + Caused by 链
```
+42
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@@ -0,0 +1,42 @@
# 安装文档变更
## 触发条件
- 修改根目录 `INSTALL.md` 的安装、鉴权或验证流程
- 修改发布包 Node.js 要求、全局 flag 或安装文档引用的命令
- 同步或发布 `https://bailian.aliyun.com/cli/install.md`
## 必查清单
### A. CLI 契约
- [ ] `INSTALL.md` 中的 `bl` 命令路径存在于 `packages/cli/src/commands.ts`
- [ ] 示例 flag 属于 `GLOBAL_FLAGS`、命令鉴权域 flag 或命令自身 `flags`
- [ ] Node.js 用户安装要求与 `packages/cli/package.json``engines.node` 一致,不使用根 `package.json` 的开发环境要求
- [ ] 鉴权流程与 `packages/commands/src/commands/auth/` 的实际校验、保存和 Profile 激活行为一致
### B. 静态副本
- [ ]`INSTALL.md` 同步到 `bailian-cli-static-resources/public/install.txt`
- [ ] 使用 `cmp -s` 确认两份文档逐字节一致
- [ ] 静态资源仓库单独创建分支、提交和发布,不把跨仓库改动遗漏在 CLI PR 之外
### C. 线上验证
- [ ] 发布后读取 `https://bailian.aliyun.com/cli/install.md`,确认内容来自最新静态副本
- [ ] 带随机 query 参数复查,区分 CDN 缓存与源站未更新
- [ ] 验证线上文档中的安装命令、Node.js 要求和配置验证段落,不只检查页面可访问
## 完成后自查
```sh
pnpm -F bailian-cli test -- tests/install-doc.test.ts
cmp -s INSTALL.md ../bailian-cli-static-resources/public/install.txt
curl -L -s "https://bailian.aliyun.com/cli/install.md?verify=$(date +%s)"
```
## 常见漏点
- `--non-interactive` 已从 CLI 移除,但旧安装文档和静态副本仍把它当作全局 flag
-`package.json` 是开发工具链 Node.js 要求;用户安装要求以 `packages/cli/package.json` 为准
- 静态仓库文件名是 `public/install.txt`,线上稳定地址是 `/cli/install.md`;只更新其中一侧不会自动证明发布成功
+12 -10
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@@ -12,9 +12,9 @@
### A. 版本一致性
- [ ] `package.json``engines.node` 与 README 的 Node.js 徽章一致
- [ ] 发布包(`cli` 等)`engines.node` 与 README 的 Node.js 徽章一致;根/e2e 开发要求(`>=22.12`)与 CONTRIBUTING 一致
- [ ] `pnpm-lock.yaml` 同步生成(运行 `pnpm install`)
- [ ] 三处 `tsconfig.json`(根 + cli + core)的 target / module 设置一致
- [ ] 各源码包 `tsconfig.json`(根 + core + runtime + commands + cli + kscli)的 target / module 设置一致
### B. lint / format 规则改动
@@ -26,13 +26,15 @@
### C. 构建配置
- [ ] `packages/cli/vite.config.ts``packages/core/vite.config.ts` 的 entry / external / dts 设置
- [ ] cli 的 bundle 必须把 `bailian-cli-core`**external**(不内联),确认 `dist/bailian.mjs` 第一行有 `from "bailian-cli-core"`
- [ ] cli 的 bundle 第一行必须有 `#!/usr/bin/env node` shebang(`tools/release.mjs check` 会断言)
- [ ] `packages/*/vite.config.ts` 的 entry / dts / exports 设置符合包类型:
- library 包(core/runtime/commands):本地 `exports` 默认指向 `src/index.ts`;`publishConfig.exports` 覆盖发布入口为 `dist/index.mjs`;dts 产物正常生成
- binary 包(cli/kscli):entry 指向 `src/main.ts`,有 shebang,`exports: true`
- [ ] cli / kscli 的 bundle 必须把 workspace 包(`bailian-cli-core` / `bailian-cli-runtime` / `bailian-cli-commands`)当 **external**(不内联),确认 dist 中仍是 package import
- [ ] cli / kscli 的 binary bundle 第一行必须有 `#!/usr/bin/env node` shebang
### D. 依赖升级
- [ ] 检查 `bailian-cli-core` 在 cli 的 `dependencies` 里仍是 `"workspace:*"`(不要成实际版本号`tools/release.mjs` 会拦)
- [ ] 检查 workspace 内部依赖在 `dependencies` 里仍是 `"workspace:*"`(不要手改成实际版本号;发布时由 pack/publish 流程解析)
- [ ] 升级后跑 `vp check && vp test`
- [ ] 升级 `@types/node` 时注意 Node API 变化(如 fs.existsSync 行为)
@@ -40,11 +42,11 @@
- [ ] `.vite-hooks/pre-commit` 改动后,`pnpm install` 重新软链(走 `prepare: vp config`)
- [ ] 增加 hook 时,确认在干净 clone 后能自动激活
- [ ] pre-commit 会跑 `pnpm run sync:skill-assets`(先 build core,再 `generate:reference` + `sync:skill-version`)并 `git add` skill 资产,最后 `vp staged`
- [ ] pre-commit 会跑 `pnpm run sync:skill-assets`(`generate:reference` 含格式化 + `sync:skill-version`,直接读源码、无需先 build)并 `git add` skill 资产,最后 `vp staged`
### F. CI / 发版工具
- [ ] `tools/release.mjs` 中如有版本/规则相关的硬编码,同步更新
- [ ] `tools/release/` 中如有版本/规则相关的硬编码,同步更新
- [ ] 比如 `secretPatterns` 添加新的敏感值识别
## 完成后自查
@@ -54,13 +56,13 @@
pnpm install --frozen-lockfile
vp check
vp test
node tools/release.mjs check
node tools/release/check.mjs
```
## 常见漏点
- ✗ 升级 Node engines 但忘了 README 徽章
- ✗ 改 lint 规则后没全仓 `--fix`,新人 PR 报红一片
- ✗ 改 cli 的 vite config 把 core 不小心打成 inline,bundle 体积暴涨
- ✗ 改 cli/kscli 的 vite config 把 core/runtime/commands 不小心打成 inline,bundle 体积暴涨
- ✗ Oxlint 配置改了但 IDE 缓存还是旧的(IDE 可能要重启 ts server)
- ✗ 升级依赖一并升 lockfile,改动量大但没拆 commit
+1 -1
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@@ -109,7 +109,7 @@
### Do
- 写清晰的 **must / must-not / 必查**,不写"建议"性语气
- 用 file path + 具体 action 的句式(`packages/cli/src/commands/catalog.ts:增加 import 与 commands 条目`)
- 用 file path + 具体 action 的句式(`packages/cli/src/commands.ts:增加产品命令 map 条目`)
- 在每份场景末尾留**常见漏点**段,持续累积真实经验
- 在跨场景的不变量上互相引用,不复制
+9 -6
View File
@@ -12,12 +12,13 @@
### A. 命令实现
- [ ] `packages/cli/src/commands/<group>/<action>.ts`:
- [ ] `packages/commands/src/commands/<group>/<action>.ts`:
- `--model` flag 的 description 里"default:"反映新默认值
- 命令内部 `const model = (flags.model as string) || "<default>"` 的 fallback 字符串
- 命令内部 `const model = flags.model || settings.defaultXxxModel || "<default>"` 的 fallback 字符串
- 如果命令维护一个 supported-models 列表(如 `speech/synthesize.ts:MODEL_VOICES`),增删条目
- 如果不同模型有不同 endpoint / 请求体形状,确保 `if (model.startsWith("xxx"))` 分支覆盖
- [ ] 模型如有特殊 endpoint,看 `packages/core/src/client/endpoints.ts`
- [ ] 如果新增的是某产品入口专属能力,确认 `packages/cli/src/commands.ts` 或其它入口 map 是否需要暴露/隐藏
### B. 类型层
@@ -25,7 +26,8 @@
### C. 命令手册
- [ ]`--model` 的 description 含 default,改命令后跑 `pnpm --filter bailian-cli run generate:reference` 更新 `skills/bailian-cli/reference/<group>.md` 并提交
- [ ]`--model` 的 description 含 default,改命令后跑 `pnpm --filter bailian-cli run generate:reference` 更新对应 `skills/<skill>/reference/<group>.md` 并提交
- [ ] 同步**拥有该命令的领域 skill**「When to use which command」表中的 Default model(现主要是 `bailian-gen`;精调相关看 `bailian-finetune` 正文示例)。hub `bailian-cli` 已瘦身,一般**不必**再写领域默认模型(见 [skill-change.md](skill-change.md))
### D. 用户面文档
@@ -41,13 +43,14 @@
```sh
# 默认模型走通
node packages/cli/src/main.ts <command> --message "test"
pnpm -F bailian-cli exec tsx src/main.ts <command> --message "test"
# 显式指定新模型
node packages/cli/src/main.ts <command> --model <new-model> --message "test"
pnpm -F bailian-cli exec tsx src/main.ts <command> --model <new-model> --message "test"
```
## 常见漏点
- ✗ 改了命令默认模型,但 SKILL.md frontmatter 仍写老型号 → AI agent 调用时仍按老型号宣传
- ✗ 改了命令默认模型,但 SKILL.md frontmatter 或领域路由表 Default model 仍写老型号 → AI agent 调用时仍按老型号宣传
- ✗ 只改了 `reference/` / flag description,忘改 `bailian-gen`(等) SKILL 路由表
- ✗ 废弃模型时只删了代码,e2e 测试还在跑,CI 红
- ✗ 新模型 endpoint 不一致,但只改了 default,没加 endpoint 分支判断
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@@ -1,70 +1,103 @@
# 发布npm publish
# 发布npm + GitHub Release 二进制
## 触发条件
- 准备发布 channelbeta/mcp/plugin 等)或正式版到 npm
- 准备打 git tag
- 准备发布 channelmcp/plugin 等)或正式版到 npm **与** GitHub Releases 二进制
- 准备打 git tag(仅 stable
## 发布方式GitHub Actions + npm OIDC
## 发布方式GitHub Actions 总入口
发版**必须**通过 CI 完成,不要本地手动 `pnpm publish`
入口GitHub Actions → **Publish** workflow`.github/workflows/publish.yml`)→ Run workflow。
**编排关系(重要):**
```text
publish-stable.mjs / publish-channel.mjs ← 唯一发版入口
├─ npmpnpm publish
└─ binarylib/binary-release
→ binary-build
→ gh-release
→ oss-direct-upload
```
`tools/release/lib/binary-release.mjs` 等是实现,一般不要单独当发版入口(调试可用)。
两种模式:
| 模式 | 用途 | 触发方式 |
| ------- | ------------------------------ | -------------------------------------------------- |
| channel | 发 channel 版本到指定 dist-tag | 选 mode=channel填 dist-tag 名称(如 mcp/plugin |
| stable | 正式发版到 latest | 选 mode=stable需 production environment 审批 |
| 模式 | 用途 | 触发方式 |
| ------- | --------------------------------------------------------------------------------------- | -------------------------------------------- |
| channel | npm dist-tag +(仅 bailian-cli二进制 + CDN **一律**覆盖 `sync-release.json` | mode=channelchannel 填 **npm dist-tag** |
| stable | npm latest + GitHub Release `v<ver>` + CDN **`manifest.json`**(及 `latest.json` 别名) | mode=stable需 production environment 审批 |
可选 flag`--skip-binary`(仅发 npm紧急逃生
### CDN 滚动指针bailian-cli
| 发布模式 | CDN 指针 | 本机安装 / 更新 |
| -------- | ---------------------------------- | ----------------------------------------------------------------- |
| channel | 始终覆盖 `sync-release.json` | `BAILIAN_CHANNEL=sync-release` / `install --channel sync-release` |
| stable | `manifest.json`+ `latest.json` | 默认安装 / `bl update`(无 channel |
workflow 的 `channel` 输入**只决定 npm dist-tag**(如 `mcp` / `plugin` / `sync-release`**不再**生成 `release-test.json` 这类旁路文件。
### channel 发布
1. 在 GitHub 触发 Publish workflowmode 选 `channel`channel 填 dist-tag 名(如 `mcp`
2. CI 自动:生成 `0.0.0-beta-<sha7>-<date>` 版本号 → 自检 → 构建 → 发布到指定 dist-tag
1. 在 GitHub 触发 Publish workflowmode 选 `channel`channel 填 npm dist-tag 名
- **`bailian-cli`**npm 发到该 tag二进制同时刷新 CDN `sync-release.json`(与 tag 名无关)。本机验证:`BAILIAN_CHANNEL=sync-release`
- **`knowledge-studio-cli`**:仅 npm自动跳过 binary不碰 `sync-release.json`
2. CI 自动:生成 `0.0.0-beta-<sha7>-<YYYYMMDDHHMM>`UTC 到分钟;同 commit 同分钟重跑会覆盖同号)→ 临时 bump → 自检 → **npm 发到 dist-tag**bailian-cli**Bun 编二进制 + GH prerelease + 覆盖 `sync-release.json`** → 还原 package.json
3. 对应脚本:`tools/release/publish-channel.mjs`
### stable 发布
1. 确保 `packages/cli/package.json` `packages/core/package.json` 已升到目标版本且一致
2. 在 GitHub 触发 Publish workflowmode 选 `stable`
1. 确保当前 release tooling 覆盖的包(`tools/release/lib/packages.mjs`)已升到目标版本且一致;当前基础集合为 `packages/core` / `packages/runtime` / `packages/commands` / `packages/cli``knowledge-studio-cli` 发布会额外包含 `packages/kscli`
2. 在 GitHub 触发 Publish workflowpackage 选目标包集合,mode 选 `stable`
3. 需要 production environment 审批人批准
4. CI 自动:自检 → 构建 →到 latest → 打 git tag
5. 对应脚本:`tools/release/publish-stable.mjs`
4. CI 自动:自检 → **npm 发到 latest****推送 git tag `v<ver>`****Bun 编二进制并创建/更新 GitHub Release**bailian-cli维护 CDN **`manifest.json`** → 完成
5. 如果所选发布集合的当前版本已全部存在于 npmstable 发布会失败并提示先升级版本号如果只有部分包已发布CI 会继续补发缺失包
6. 对应脚本:`tools/release/publish-stable.mjs`
## 自检(`tools/release/check.mjs`
两种模式都会先跑 `check.mjs`,覆盖以下检查:
| 检查项 | 说明 |
| -------------------------------- | ----------------------------------------- |
| `pnpm install --frozen-lockfile` | lockfile 一致性 |
| README 同步 | `packages/cli/README.md` 与根 README 一致 |
| 版本号一致 | cli 与 core 的 version 字段相同 |
| `workspace:*` 替换 | cli 对 core 依赖解析为真实版本号 |
| 构建 core + cli | `pnpm build` |
| pnpm pack | 打 tarball |
| publint | 包元数据校验 |
| gitleaks | 敏感信息扫描 |
| 检查项 | 说明 |
| -------------------------------- | --------------------------------------------------------------------------------------------------------------- |
| `pnpm install --frozen-lockfile` | lockfile 一致性 |
| README 同步 | `packages/cli/README.md` 与根 README 一致 |
| 版本号一致 | `tools/release/lib/packages.mjs` 中待发布包集合 version 相同 |
| `workspace:*` 替换 | 发布包间 workspace 依赖解析为真实版本号 |
| 构建 | 基础发布构建 core/runtime/commands 依赖和 cli;`--knowledge` 额外构建 `knowledge-studio-cli` |
| 生成资产 | 重建各 `skills/<skill>/reference/`;非 channel 模式还同步各 `skills/*/SKILL.md` version`bailian-protocol` |
| pnpm pack | 打 tarball |
| publint | 包元数据校验 |
| gitleaks | 敏感信息扫描 |
本地可以 dry-run 验证:
```sh
node tools/release/publish-channel.mjs --channel test --dry-run
node tools/release/publish-channel.mjs --channel test --knowledge --dry-run
```
## CI 基础设施
- **认证**npm OIDC Trusted Publishing无 token需要 `id-token: write` 权限
- **GitHub Release**`contents: write` + `GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}`stable / channel 均需)
- **Node 版本**24npm 11.5+ 才支持 OIDC token 交换)
- **Bun**`oven-sh/setup-bun`,版本钉死在 workflow 中
- **Actions 版本**checkout/setup-node/pnpm-action 均为 v6Node 24 兼容)
- **npm 配置**两个包的 Trusted Publisher 指向 `modelstudioai/cli``publish.yml`environment 留空
- **npm 配置**当前 release tooling 发布的包(`bailian-cli-core` / `bailian-cli-runtime` / `bailian-cli-commands` / `bailian-cli` / `knowledge-studio-cli`)的 Trusted Publisher 指向 `modelstudioai/cli``publish.yml`;新增发布包时同步 npm Trusted Publisher
## `check.mjs` 不覆盖的(手动确认)
### 版本号目标(仅 stable
- [ ] `packages/cli/package.json``packages/core/package.json` 已升到目标版本
- [ ] `tools/release/lib/packages.mjs` 覆盖的目标包集合已升到目标版本且一致
- [ ] 源码包 `packages/core/package.json``packages/runtime/package.json``packages/commands/package.json``packages/cli/package.json``packages/kscli/package.json` 是否需要同步升版已人工确认;当前仓库通常保持五包版本一致
- [ ] `tools/release/lib/packages.mjs``PACKAGES` 覆盖基础发布包;`KSCLI_PACKAGE` / `ALL_PACKAGES` 覆盖 `knowledge-studio-cli` 发布路径;如果新增发布包,同步 `publish-stable.mjs` / `publish-channel.mjs` 的 bump、publish、idempotency 逻辑和 `.github/workflows/publish.yml` 的 package 选项
- [ ] pre-release 格式正确(`1.0.0-beta.0` / `1.0.0-rc.1`**不要直接用 `1.0.0` 当 beta**
### CHANGELOG仅 stable
@@ -78,21 +111,27 @@ node tools/release/publish-channel.mjs --channel test --dry-run
- [ ] `README.md` / `README.zh.md` 的 Quick Start 命令仍能跑通
- [ ] README 的 Node.js 徽章版本与 `cli/package.json.engines.node` 一致
- [ ] README 宣传的 bin 名称在 `cli/package.json.bin` 都真的注册
- [ ] `LICENSE` 文件存在(根 + cli + core 各一份)
- [ ] `packages/kscli/README.md` / `README.zh.md``knowledge-studio-cli` 的 bin、控制台 URL、认证方式一致
- [ ] `LICENSE` 文件存在(根 + 当前实际发布包;新增发布包时补该包 LICENSE
## 完成后
- [ ] 验证 npm 上能装:`npm view bailian-cli@<tag> version`
- [ ] 试装一次:`npm i -g bailian-cli@<tag> && bl --version`
- [ ] 验证 npm 上能装:`npm view bailian-cli@<tag> version`;如发布 `knowledge-studio-cli`,同时 `npm view knowledge-studio-cli@<tag> version`
- [ ] 试装一次:`npm i -g bailian-cli@<tag> && bl --version`;如发布 `knowledge-studio-cli`,同时 `npm i -g knowledge-studio-cli@<tag> && kscli --version`
## 常见漏点(基于历史踩坑)
| 漏点 | 后果 |
| -------------------------------------------------------- | -------------------------------------------------- |
| cli 升版号但 core 没升 | check.mjs 会拦下 |
| 发版漏更 CHANGELOG或分类写成规范外的 `优化`/`Improved` | 用户看不到本次变更,分类与历史不一致 |
| `1.0.0` 当 beta 直接发 | 占了 `latest` tag所有用户被强升撤回成本极高 |
| README 写的 bin 名实际 `package.json.bin` 没注册 | 用户复制命令报 `command not found` |
| Node 徽章 `>=18`、engines `>=22.12` 不一致 | 用户在 Node 18 上 `npm i` 被 engine 警告或直接失败 |
| npm Trusted Publisher 的 workflow filename 改了没同步 | OIDC 匹配不上publish 报 404 |
| CI 用 Node 22npm 10跑 publish | npm 10 不支持 OIDC token 交换publish 报 404 |
| 漏点 | 后果 |
| ------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
| 只升部分包,漏升 runtime/commands/kscli | 当前 check.mjs 按所选发布集合校验,但未选择 `knowledge-studio-cli` 时不会覆盖 kscli |
| 新增发布包但没加 `tools/release/lib/packages.mjs` | CI 不会 bump/publish/校验该包 |
| cli 升版号但 core 没升 | check.mjs 会拦下 |
| 发版漏更 CHANGELOG或分类写成规范外的 `优化`/`Improved` | 用户看不到本次变更,分类与历史不一致 |
| `1.0.0` 当 beta 直接发 | 占了 `latest` tag所有用户被强升撤回成本极高 |
| README 写的 bin 名实际 `package.json.bin` 没注册 | 用户复制命令报 `command not found` |
| Node 徽章与 `cli/package.json.engines` 不一致(当前应为 `>=18.17` | 用户在声明外的 Node 上 `npm i` 被 engine 警告或直接失败 |
| npm Trusted Publisher 的 workflow filename 改了没同步 | OIDC 匹配不上publish 报 404 |
| CI 用 Node 22npm 10跑 publish | npm 10 不支持 OIDC token 交换publish 报 404 |
| stable 发布前没有升级版本号 | 所选发布集合的版本已全部存在于 npmCI 明确报错并要求先升级版本号 |
| channel job 缺少 `contents: write` | `gh release create` 失败 |
| stable 未先推 tag 就建 Release | `--verify-tag` 失败 |
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# Skill 文案 / 路由 / 安装约定
## 触发条件
-`skills/*/SKILL.md` 的 description、路由表、consent、安全闸、hand-off、references 落款
- 调整 `bailian-protocol` 与业务 skill 的关系,或业务 skill 之间的软 hand-off 约定
- 新增 / 拆分 / 合并 `bailian-*` 业务 skill或改 `tools/generate-reference.ts``GROUP_OWNER_SKILL` 归属(与命令增删改交叉时两边都看)
- 给业务 skill 补安装说明、README或统一「勿猜 flag → `reference/`」类约定
纯改生成物 `skills/*/reference/*.md`(由命令 metadata 驱动)→ 走 [command-add-remove.md](command-add-remove.md) / [command-flag-change.md](command-flag-change.md)**不要手改 reference**。
## 统一口径(安装)
1. **Supported install** `bl skill init`(装齐 registry 中全部 `bailian-*`,含 `bailian-protocol`
2. **`bailian-protocol` 是共享协议 skill**,业务 skill 执行前应 Read 它
3. **不要**在 frontmatter 写 `companions`也不要对外说「companions = 安装器硬依赖」
4. 子集安装:`bl skill add --name bailian-protocol,<skill>`;漏装 protocol 会导致相对路径 Read 失败
5. **`bl skill add --all`** 安装 registry 全量(含 `spark-video` 等非 bailian 技能);一键安装 / `bl update``skill init`,不要用 `--all`
## 概念图
```text
bailian-protocol ← 共享协议consent / 鉴权 / 版本 / 错误上报)
▲ 靠 `bl skill init` 与业务 skill 同装;非安装器强制 companions
┌───────┴────────┬────────────────┬──────────────────┐
bailian-gen bailian-finetune bailian-managed-agent
(领域路由表) (领域工作流) IaC 安全闸)
│ │ │
└────────────────┼──────────────────┘
▼ 软 hand-off按 skill 名)
bailian-clihub
hub 路由表:本职命令 + 领域 hand-off 行
细节 → 各 skill reference/(生成)
```
## 必查清单
### A. 分层边界
- [ ] **整包装齐**:安装/升级文案主推 `bl skill init`;业务 skill **不**声明 `companions`
- [ ] **协议读取**CRITICAL / references 可链 `../bailian-protocol/…`;若读不到 → 停止执行 `bl`,提示 `bl skill init`
- [ ] **软 hand-off**:兄弟业务 skill **只写 skill 名**;已安装则 Read未安装则 `bl … --help` 或提示整包安装;**不要**把 `../bailian-gen/…` 等写成执行前提
- [ ] **Hub vs 领域**`bailian-cli` 的「When to use which command」只列 hub 拥有的意图;媒体 / 精调 / managed-agent 各留 hand-off 行,**不抄**领域默认模型与子命令明细
- [ ] **渐进披露**SKILL 写意图路由与领域硬规则flags / usage / examples 以 `reference/``bl <command> --help` 为准,表后保留「勿猜 flag」指向句
### B. 文案与落款一致性
- [ ] 领域 skillgen / finetune / managed-agent路由或命令表后有指向 `reference/` 的句;文末 `## references`protocol + reference与家族对齐
- [ ] description 含 WHAT + WHEN + 反触发;安装说明指向 `bl skill init`,不写 companions 必装
- [ ] Quick examples 只演示本 skill 职责hub 不示范 `bl image` / `bl video` 等)
- [ ] 若改了安装方式:同步 `README.md` / `README.zh.md` / `INSTALL.md` / `skills/*/README*` / `skills/bailian-protocol/assets/setup.md` 中的 `bl skill init` / `bl skill add …` 示例(改 `INSTALL.md` 时按 [install-doc-change.md](install-doc-change.md) 同步静态页)
### C. 归属与生成
- [ ] 新一级命令组归属领域时:改 `tools/generate-reference.ts``GROUP_OWNER_SKILL`,并更新**拥有方** skill 的路由表hub 最多加一行 hand-off
- [ ]`pnpm run sync:skill-assets`(或 commit 走 pre-commit提交生成的 `reference/` 与 version 同步结果
- [ ] 默认模型若写在领域路由表(如 `bailian-gen`):与命令 default / [model-add-remove.md](model-add-remove.md) 一并核对
## 完成后自查
```sh
pnpm run sync:skill-assets
# 已发布版本试装
bl skill init
```
抽查:打开 `skills/bailian-cli/SKILL.md` 确认无领域子命令明细表、无 `companions`;打开对应领域 skill 确认有「勿猜 flag」与 hand-off。
## 常见漏点
- ✗ hub 路由表再次抄回 image / video / finetune / managed-agent 明细 → token 膨胀且与领域 skill 双份漂移
- ✗ 重新加回 `companions` 并宣称安装器硬依赖 → 与 `bl skill add` 合同不符
- ✗ 软 hand-off 写成硬路径 `../bailian-*/SKILL.md` 当执行前提 → 子集安装断链
- ✗ 只改 SKILL、忘改 `GROUP_OWNER_SKILL` → reference 落错 skill
- ✗ 手改 `skills/*/reference/*.md` → 下次 generate 被覆盖
- ✗ 改默认模型只动 flag description / reference忘改领域 SKILL「When to use which command」表见 [model-add-remove.md](model-add-remove.md)
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@@ -115,19 +115,18 @@ pnpm run test:stress -- video-edit --reuse-fixtures -- --count 3
### 子进程调用方式
- **实际执行**`node packages/cli/src/main.ts <args>``cwd``packages/cli`
- **实际执行**仓库本地 `tsx src/main.ts <args>``cwd``packages/cli`
- **禁止**用 `pnpm run dev` 跑子任务:`pnpm` 会向 stdout 打生命周期日志,污染 JSON 解析
- **报告中的「完整命令」**:用 `pnpm run dev ...` 展示(`buildDisplayCommand`
### 必须带的 CLI 参数(通用)
- `--non-interactive`
-`speech recognize` 外,压测子进程宜带 `--output json`(语音识别以 `--out` 文件为准 stdout 可能为纯文本)
- 异步类命令带 `--timeout`、对应 `--poll-interval`
**禁止**对子进程加 `--quiet`(与 `--output json` 并存时可能丢 `urls` / `video_url`)。
**禁止**对视频相关子进程加 `--no-wait`;须阻塞到任务完成(及下载路径正确时落盘)。
**禁止**对视频相关子进程加 `--async`;须阻塞到任务完成(及下载路径正确时落盘)。
### 成功 / 失败判定(概要)
@@ -192,8 +191,8 @@ pnpm run test:stress -- video-edit --reuse-fixtures -- --count 3
### 只改压测脚本时
- [ ] `lib/paths.mjs` 解析的 `CLI_PACKAGE` / `MONOREPO_ROOT` 仍正确
- [ ] 子进程仍为 `node` + `src/main.ts`,未改回裸 `pnpm run dev` 执行任务
- [ ] 未对子进程加 `--quiet`,视频未加 `--no-wait`
- [ ] 子进程仍为仓库本地 `tsx` + `src/main.ts`,未改回裸 `pnpm run dev` 执行任务
- [ ] 未对子进程加 `--quiet`,视频未加 `--async`
- [ ] `parsers.mjs` 与文档中的成功判定一致
- [ ]`package.json` 仅保留 `test:stress` 入口指向 `run.mjs`
- [ ] `node --check` 对相关 `.mjs` 通过,`pnpm run test:stress -- list` 可运行
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# 埋点变更
## 触发条件
- 调整 AEM 命令事件、事件字段或参数 allowlist
- 调整 `User-Agent``x-dashscope-source-config` 或其他后端渠道标识
- 新增鉴权域、请求网关或绕开统一 Client 的网络出口
- 排查命令量、成功率、版本、鉴权域或后端渠道数据不一致
## 当前数据流
三套鉴权对应三套请求域,但不代表三套网关使用相同的后端埋点。命令侧另有一套覆盖所有实际执行命令的 AEM 客户端事件,两者必须分开理解。
```text
命令进入 run
├─ telemetryStage
│ ├─ ~/.bailian/telemetry.jsonl
│ └─ AEM(pid=bailian-cli-node, event name=命令路径)
└─ authStage
├─ apiKey → DashScope / 模型域
├─ console → Bailian Console Gateway
├─ openapi → 阿里云 OpenAPI
└─ none → 无凭证域;本地命令也仍有 AEM 命令事件
```
### 1. 三套鉴权与埋点标识
| 命令声明 | 凭证 / 请求域 | 主要请求出口 | 后端埋点标识 | 前端埋点标识AEM |
| ----------------- | --------------------------------------------------- | ------------------------------------------------------------------------------------- | --------------------------------------------- | ------------------------------------------------ |
| `auth: "apiKey"` | API KeyDashScope / OpenAI-compatible 模型域 | `Client.request/requestJson``McpClient`、Managed Agent instrumented fetch、上传策略 | 有:`User-Agent``x-dashscope-source-config` | 有:`pid=bailian-cli-node``authMethod=apiKey` |
| `auth: "console"` | Console access tokenBailian Console Gateway | `callConsoleGateway()``/cli/api.json` | 无 | 有:`pid=bailian-cli-node``authMethod=console` |
| `auth: "openapi"` | AccessKey ID/Secret可选 STS token阿里云 OpenAPI | `Client.openApiJson()` | 有:`x-dashscope-source-config` | 有:`pid=bailian-cli-node``authMethod=openapi` |
| `auth: "none"` | 无凭证域 | 本地逻辑或命令自行管理的登录/配置流程 | 无 | 有:`pid=bailian-cli-node``authMethod=none` |
`authMethod` 记录的是命令声明的鉴权域,不是凭证来源。它不会区分 API Key 来自 flag、env 还是 config。
鉴权域是命令的准入门槛和主请求域,不保证命令内部只有一种网络出口;例如部分 `apiKey` 命令也可能读取匿名 Console 公共目录Managed Agent 还可能访问其他 provider。
表中的后端埋点按该鉴权域的主要业务请求填写:
- Managed Agent 的 `User-Agent` 对所有 SDK 请求注入;`x-dashscope-source-config` 仅对阿里云 host 注入
- DashScope 上传策略 `getPolicy` 只有 `x-dashscope-source-config`,没有显式 CLI `User-Agent`
- OpenAPI 的 ACS 签名头,以及 Console Gateway 的 `product``action``api` 是鉴权或路由字段,不计为埋点标识
### 2. 后端渠道参数
当前 `x-dashscope-source-config` 结构为:
```json
{
"channel": "bailian-cli",
"tags": {
"t1": "public",
"t2": "bl 或 kscli",
"t3": "实际 CLI 版本"
}
}
```
- `t2` 取产品 `identity.binName`:完整 CLI 为 `bl`Knowledge Studio CLI 为 `kscli`
- `t3` 取产品 `identity.version`,由产品入口的 `package.json` 注入
- `channel``t1` 是当前固定口径
- `User-Agent` 是独立标识:`bl``bailian-cli/<version>``kscli``knowledge-studio-cli/<version>`
source-config 只用于百炼 / DashScope API 侧消费,不发送到通用网络传输:
| 请求 | source-config |
| ------------------------------------ | ------------- |
| 模型 API、任务提交与轮询 | 有 |
| Bailian MCP / OpenAPI | 有 |
| DashScope 上传策略 `getPolicy` | 有 |
| OSS 文件上传 | 无 |
| 图片、视频、音频、转录结果下载 | 无 |
| npm / 二进制更新检查、Skill registry | 无 |
当前已知例外Pipeline runtime 自建的 `Identity.version``0.0.0-dev`,因此 Pipeline 内部模型请求的 `t3` 不代表产品包版本;现阶段不纳入本轮收敛。
### 3. 全命令 AEM 客户端埋点
`packages/runtime/src/middleware.ts``telemetryStage` 包裹 `authStage` 与命令执行,因此成功、业务失败、网络失败和鉴权失败都会形成一次命令事件。事件名是空格连接的命令路径,例如 `text chat`
以下情况不会形成命令事件,因为没有进入 middleware 的 `run`
- 根帮助、子命令 `--help``--version`
- 未识别命令、参数解析失败、缺少必填参数
- `defineCommand.validate` 在 dispatch 阶段拒绝的请求
遥测默认开启;`DO_NOT_TRACK=1` 一票否决,配置文件 `telemetry: false` 也可关闭。关闭后本地和远端均不记录。
单条 `TrackingEvent` 当前包含:
- `command``timestamp``durationMs``success`
- `cliVersion``nodeVersion``os`
- `authMethod`
- 失败时的 `errorMessage``httpStatus``requestId`
- 安全 allowlist 过滤后的 `params`
参数默认不上传,只有 `packages/core/src/telemetry/tracker.ts``PARAM_ALLOWLIST` 中字段会进入事件。不得加入 prompt、凭证、文件路径、URL、账号/租户/工作空间 ID 或其他用户内容。
事件同时写入两处:
1. 本地 `~/.bailian/telemetry.jsonl`:权限 `0600`,超过 5 MB 后重建
2. AEM`pid=bailian-cli-node`,源码运行自动使用 `env=dev`npm 安装或编译二进制使用 `env=prod`
底层 Node tracker 还会附加公共设备字段OS 类型/版本、Node 应用名与版本、平台,以及由本机网络标识计算的 MD5 `device_id`
当前 AEM 事件没有 `binName``clientName` 产品维度,并且 `bl``kscli` 共用 `pid=bailian-cli-node`。两边相同路径的 `config show``config set``update` 无法仅凭当前事件稳定区分产品Knowledge 命令虽然因路径映射不同而表现为 `knowledge chat``chat`,也不应把命令路径当作长期产品标识。后端 source-config 的 `t2` 已能区分 `bl/kscli`,但这个维度尚未进入 AEM 客户端事件。
AEM 映射:
| AEM 字段 | 内容 |
| ---------- | ----------------------------------------- |
| event name | 命令路径 |
| `et` | `EXP` |
| `ext` | 除 `command``params` 外的结构化事件字段 |
| `c1` | allowlist 参数 |
| `c2` | `success` / `failure` |
| `c3` | HTTP status |
| `c4` | 错误文案,最多 500 字符 |
| `c5` | request ID |
远端发送是 best-effort不得阻塞命令或改变退出码。正常退出最多等待 1 秒SIGINT 最多等待 500 ms。
## 必查清单
### A. 新增或调整命令
- [ ] `defineCommand({ auth })` 必须声明真实请求域AEM 的 `authMethod` 直接读取该值
- [ ] 新命令进入 `run` 后自动有基础事件,不得在命令内重复发送同名事件
- [ ] 需要按产品分析 AEM 数据时,必须显式设计产品字段;不得从命令路径推断 `bl/kscli`
- [ ] 只有可枚举、数值或布尔等低风险字段才可加入 `PARAM_ALLOWLIST`
- [ ] 新增 console raw API flag 时只允许记录公开 API 名,不得记录请求 `data`
### B. 调整后端渠道参数
- [ ] 同时核对 `packages/core/src/client/http.ts``mcp.ts``instrumented-fetch.ts``client.ts``files/upload.ts`
- [ ] 产品身份必须来自 `Identity`;不得从命令路径、环境变量或 `process.argv` 猜测
- [ ] `bl``kscli` 必须分别验证 `binName``clientName``version`
- [ ] OSS、结果文件、npm、二进制和 Skill 下载不得为了业务渠道统计新增 source-config
- [ ] 改 URL / host 范围时同时执行 [URL / 渠道变更](url-change.md) 清单
### C. 调整 AEM 事件
- [ ] 更新 `TrackingEvent``createTrackingEvent()``buildRemoteAemOptions()` 的字段映射
- [ ] 本地 JSONL 与远端 AEM 必须基于同一结构化事件,不能维护两套字段口径
- [ ] 成功与失败均覆盖;遥测异常必须静默且不改变业务退出码
- [ ] 检查 `DO_NOT_TRACK=1``telemetry: false` 两个关闭入口
- [ ] 错误字段不得额外拼接 token、请求体、prompt 或本地路径
## 完成后自查
```sh
rg -n "trackingHeaders|x-dashscope-source-config|User-Agent" packages --glob '*.ts'
rg -n "trackCommandExecution|PARAM_ALLOWLIST|buildRemoteAemOptions" packages/core packages/runtime --glob '*.ts'
vp check
vp test packages/core/tests packages/commands/tests/e2e/auth.e2e.test.ts
```
## 常见漏点
- ✗ 只看 AEM 命令事件,误以为它能替代网关侧请求渠道统计
- ✗ 把 `authMethod` 当成实际凭证来源;它只是命令声明的鉴权域
- ✗ 新增 bypass `fetch` 后漏掉应由网关消费的 source-config或把它发给 OSS / npm / 第三方下载地址
- ✗ 只改 `bl` 入口,导致 `kscli` 的产品名或版本标签错误
- ✗ 把帮助、版本或参数校验失败算进“全部命令”;这些路径当前没有进入 telemetry middleware
+18 -13
View File
@@ -13,12 +13,15 @@
core/config/schema.ts ← API endpoint / 文档站(region-aware)
REGIONS{cn, us, intl} dashscope.aliyuncs.com 等
DOCS_HOSTS{cn, us, intl} help.aliyun.com/zh/model-studio
BAILIAN_HOST bailian.cn-beijing.aliyuncs.com (POP API)
BAILIAN_HOST bailian.cn-beijing.aliyuncs.com (OpenAPI)
cli/src/urls.ts ← 用户面控制台 URL(cn-only)
runtime/src/urls.ts ← 用户面控制台 URL(cn-only)
BAILIAN_CONSOLE_ROOT bailian.console.aliyun.com
BAILIAN_CONSOLE BAILIAN_CONSOLE_ROOT/cn-beijing
API_KEY_PAGE BAILIAN_CONSOLE/?tab=app#/api-key
TOKEN_PLAN_PAGE BAILIAN_CONSOLE_ROOT/cn-beijing?tab=plan#/efm/subscription/overview
MCP_WEBSEARCH_PAGE mcpMarketplaceDetailPage("WebSearch")
mcpMarketplaceDetailPage BAILIAN_CONSOLE?tab=mcp#/mcp-market/detail/<serverCode>
core/files/upload.ts ← 文件上传 endpoint(cn-pinned)
UPLOAD_API ${REGIONS.cn}/api/v1/uploads
@@ -29,14 +32,16 @@ core/files/upload.ts ← 文件上传 endpoint(cn-pinned)
### A. TS 源码(必须 import,不准硬编码)
- [ ] `packages/core/src/config/schema.ts` 是所有 API/docs 基址的源头
- [ ] `packages/cli/src/urls.ts` 是所有用户面控制台 URL 的源头
- [ ] `packages/runtime/src/urls.ts` 是所有用户面控制台 URL 的源头
- [ ] 改完后 grep 验证:
```sh
# 控制台 URL — 应只在 urls.ts 出现
grep -rnE "https://bailian\.console\.aliyun\.com" packages/ --include="*.ts" \
| grep -v "node_modules" | grep -v "/dist/"
# 期望:匹配 packages/cli/src/urls.ts
# 期望:匹配 packages/runtime/src/urls.ts;
# 当前遗留例外:packages/commands/src/commands/auth/login-console.ts(登录站点映射)、
# packages/core/src/advisor/recommend.ts(模型文档 deep link)。触碰时优先收敛到统一 URL 模块。
# API endpoint — 应只在 schema.ts 和 upload.ts 出现
grep -rnE "https://dashscope[a-z-]*\.aliyuncs\.com" packages/ --include="*.ts" \
@@ -46,29 +51,29 @@ grep -rnE "https://dashscope[a-z-]*\.aliyuncs\.com" packages/ --include="*.ts" \
### B. 非 TS 文件(只能人工同步,无法 import)
- [ ] `skills/bailian-cli/reference/``<group>.md` 中 API/控制台 URL(`generate:reference` 重建后核对并提交)
- [ ] `skills/*/reference/``<group>.md` 中 API/控制台 URL(`generate:reference` 重建后核对并提交)
- [ ] `README.md` / `README.zh.md` 中所有 URL
### C. 渠道追踪参数
- [ ] **当前现状**:全仓不带 `source_channel=aliway`追踪参数
- [ ] 如未来要恢复以收集分析数据,**统一评估再加回**(不要单点恢复造成不一致)
- [ ] 全仓 grep `source_channel=`,确认无残留
- [ ] **当前现状**:TS 源码不带 `source_channel=...`;README / package README 中保留 `cli_github` / `key_github` 等用户入口追踪参数
- [ ] 如未来调整追踪参数,统一评估 README、`packages/cli/README*``packages/core/README*` 与 package homepage,不要单点造成不一致
- [ ] grep `source_channel=`,确认每个残留都属于预期用户面文档或已批准的追踪入口
## 完成后自查
```sh
# 验证错误 hint 不再泄漏旧 URL
HOME=/tmp/empty node packages/cli/src/main.ts text chat --message x --non-interactive
HOME=/tmp/empty pnpm -F bailian-cli exec tsx src/main.ts text chat --message x
# 看输出的 Get API Key URL 是否走新值
# 验证 banner / help
node packages/cli/src/main.ts # banner
node packages/cli/src/main.ts help # help 命令
pnpm -F bailian-cli exec tsx src/main.ts # banner
pnpm -F bailian-cli exec tsx src/main.ts help # help 命令
```
## 常见漏点
- ✗ 改了 `urls.ts` 但忘记同步 README(用户最先看到)
- ✗ 在 cli 命令文件里 inline `https://bailian.console.aliyun.com/...` 而不是 `${API_KEY_PAGE}`
- ✗ 改了 `urls.ts` / 登录站点 / 文档 deep link 但忘记同步 README(用户最先看到)
- ✗ 在 runtime / command 文件里 inline `https://bailian.console.aliyun.com/...` 而不是 `urls.ts` import
- ✗ 在 core 的 hint 里写 URL(违反 [error-hint-change.md](error-hint-change.md) 不变量 1)
+248
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@@ -0,0 +1,248 @@
# Chunk 管理命令手册
Chunk 是知识库中最小的检索单元。文档导入后自动切分为 chunk也可以手动添加。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge chunk add`
直接向知识库添加 chunk。
**用法**
```bash
bl knowledge chunk add --index-id <id> (--content <text> | --field <k=v>) [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------------- | ------ | ---- | ------------------------------------------------------------------------------------------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--doc-id <id>` | string | 否² | 所属文档 ID表格/图片知识库必填,文档型可选 |
| `--content <text>` | string | 否¹ | Chunk 正文,最多 6000 字符(文档型);与 `--content-file` 互斥 |
| `--content-file <path>` | string | 否¹ | 从 UTF-8 文本文件读取正文(`.md`/`.txt` 等);与 `--content` 互斥 |
| `--title <text>` | string | 否 | Chunk 标题,最多 50 字符(文档型) |
| `--image-url <url>` | array | 否 | Chunk 图片 URL可重复最多 10 个;文档型) |
| `--field <key=value>` | array | 否¹ | 任意字段键值对(可重复),用于表格/图片知识库,键为 Excel 列名;与 content/title/image 互斥 |
> ¹ `--content`/`--content-file`/`--title`/`--image-url` 与 `--field` 互斥,必须提供其一。
> ² 表格/图片知识库必须提供 `--doc-id`。文档型知识库可选。
**参数约束**
- `--field``--content`/`--content-file`/`--title`/`--image-url` 互斥
- `--content``--content-file` 互斥
- `--content` 最多 6000 字符
- `--title` 最多 50 字符
- `--image-url` 最多 10 个
**输出**
text 模式:
```
chunk created (pipeline: idx-xxx)
List chunks to find the new chunk id.
```
quiet 模式:无输出(成功退出码 0
json 模式:返回 API 原始响应(不含 chunk ID
**注意事项**
- 支持文档/表格/图片知识库;音视频知识库不支持。
- API 响应不含 chunk ID需用 `chunk list` 查找新 chunk。
- API 幂等但限流 10 次/秒,批量脚本需自行节流。
- 表格/图片知识库用 `--field`,键为 Excel 列名,值为字符串。
**示例**
```bash
# 添加文本 chunk
bl knowledge chunk add --index-id idx-xxx --content "chunk text" --title intro --workspace-id ws-xxx
# 添加表格行(字段方式)
bl knowledge chunk add --index-id idx-xxx --field 列A=v1 --field 列B=v2
# 从文件读取内容
bl knowledge chunk add --index-id idx-xxx --content-file ./chunk.md --doc-id doc-xxx
```
---
#### `bl knowledge chunk list`
列出知识库中的 chunk含内容和状态。
**用法**
```bash
bl knowledge chunk list --index-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------- | ------ | ---- | ------------------------------ |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--doc-id <id>` | string | 否 | 只显示属于此文档的 chunk |
| `--page-number <n>` | number | 否 | 页码默认1 |
| `--page-size <n>` | number | 否 | 每页条数默认20最大 100 |
**参数约束**
- `--page-size` 范围 1-100
**输出**
text 模式:
```
[chunk] chunk-xxx (doc: intro.md, doc_id: file-xxx) status: COMPLETED
chunk content preview (truncated at 200 chars)…
total: 1
```
> 如果 chunk 被排除检索,行尾会显示 `[excluded from retrieval]`。
quiet 模式:每行一个 `metadata._id`chunk ID用于管道传给 update/delete。
json 模式:返回 API 原始响应,`data.nodes[]` 含完整 chunk 数据。
**注意事项**
-`metadata._id` 作为 chunk ID`metadata.doc_id` 作为文档 ID在 chunk update/delete 中使用。
- 页大小默认 20最大 100。
**示例**
```bash
# 列出所有 chunk
bl knowledge chunk list --index-id idx-xxx --workspace-id ws-xxx
# 只看某文档的 chunk
bl knowledge chunk list --index-id idx-xxx --doc-id file-xxx --page-size 50
```
---
#### `bl knowledge chunk update`
更新 chunk 内容或切换其检索可见性。
**用法**
```bash
bl knowledge chunk update --index-id <id> --chunk-id <id> --doc-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------------- | ------ | ---- | ------------------------------------------------------ |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--chunk-id <id>` | string | 是 | Chunk ID`metadata._id`,来自 chunk list 输出) |
| `--doc-id <id>` | string | 是 | 所属文档 ID`metadata.doc_id`,来自 chunk list 输出) |
| `--content <text>` | string | 否¹ | 新内容10-6000 字符;与 `--content-file` 互斥 |
| `--content-file <path>` | string | 否¹ | 从 UTF-8 文本文件读取新内容 |
| `--title <text>` | string | 否 | Chunk 标题0-50 字符(空字符串清除标题;不传则不变) |
| `--exclude` | switch | 否² | 将此 chunk 排除出检索 |
| `--include` | switch | 否² | 将此 chunk 恢复检索(默认行为) |
> ¹ `--content` 与 `--content-file` 互斥。
> ² `--exclude` 与 `--include` 互斥。
**参数约束**
- `--content``--content-file` 互斥
- `--exclude``--include` 互斥
- 至少提供一个更新项(`--content`/`--content-file`/`--title`/`--exclude`/`--include`
- `--content` 长度 10-6000 字符
- `--title` 最多 50 字符
**输出**
text 模式:
```
updated: chunk-xxx
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- 内容必须 10-6000 字符,且不超过知识库的 max chunk size。
- `--content-file` 期望 UTF-8 纯文本文件,不解析 `.docx`/`.pdf` 等文档格式。
- 仅切换 `--exclude`/`--include` 而不提供新内容时CLI 自动读回当前内容并重新提交API 要求 content 字段必填CLI 隐藏了此限制)。
**示例**
```bash
# 修改内容
bl knowledge chunk update --index-id idx-xxx --chunk-id chunk-xxx --doc-id file-xxx --content "corrected text" --workspace-id ws-xxx
# 排除 chunk 不参与检索
bl knowledge chunk update --index-id idx-xxx --chunk-id chunk-xxx --doc-id file-xxx --exclude
# 恢复检索
bl knowledge chunk update --index-id idx-xxx --chunk-id chunk-xxx --doc-id file-xxx --include
```
---
#### `bl knowledge chunk delete`
从知识库中删除 chunk不可逆
**用法**
```bash
bl knowledge chunk delete --index-id <id> --chunk-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | ------------------------------------------------ |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--chunk-id <id>` | array | 是 | Chunk ID可重复每批最多 10 个,超出自动分批) |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deleted: 2 chunk(s) in 1 batch(es)
```
quiet 模式:无输出。
json 模式:返回 `{ deleted_count, batches }`
**注意事项**
- 服务端每次最多接受 10 个 chunk IDCLI 自动分批。
- 如果某批失败,操作停止,已删除的批次会在错误 hint 中列出。
- Chunk 被永久移除,不可恢复。
**示例**
```bash
# 删除多个 chunk
bl knowledge chunk delete --index-id idx-xxx --chunk-id chunk-a --chunk-id chunk-b --workspace-id ws-xxx
# 跳过确认
bl knowledge chunk delete --index-id idx-xxx --chunk-id chunk-a --yes
```
---
← [返回总览](../knowledge-cli-guide.md)
+268
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@@ -0,0 +1,268 @@
# 数据中心集合与分类命令手册
集合collection是数据中心的顶层容器对应服务端的 connector。分类category用于组织集合内的文件支持多级嵌套。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge collection create`
创建 FILE 数据集合。
**用法**
```bash
bl knowledge collection create --name <text> --description <text> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------------- | ------ | ---- | ---------------------------------------------------------------- |
| `--name <text>` | string | 是 | 集合名称1-20 字符) |
| `--description <text>` | string | 是 | 集合描述 |
| `--store-type <type>` | string | 否 | 存储类型:`platform`(托管,默认)或 `custom`(自有 OSS bucket |
| `--oss-region <id>` | string | 否 | OSS region ID`--store-type custom` 时必填) |
| `--oss-bucket <name>` | string | 否 | OSS bucket 名称(`--store-type custom` 时必填) |
**参数约束**
- `--name` 长度 1-20 字符
- `--store-type` 只能是 `platform``custom`
- `--store-type custom``--oss-region``--oss-bucket` 必填
**输出**
text 模式:
```
created: conn-xxx (my-collection, PLATFORM)
```
quiet 模式:输出集合 ID。
json 模式:返回 API 原始响应。
**注意事项**
- `platform` 使用平台托管存储;`custom` 使用已授权的 OSS bucket。
- 自定义 bucket 必须携带标签 `bailian-connector-access=ReadAndWrite`(百炼的标签访问控制),否则服务端报 `setBucketCORS failed` 误导性错误。
- **无集合删除 API**,创建需谨慎。
**示例**
```bash
# 创建平台托管的集合
bl knowledge collection create --name my-collection --description "team docs" --workspace-id ws-xxx
# 创建使用自有 OSS bucket 的集合
bl knowledge collection create --name oss-coll --description "own bucket" --store-type custom --oss-region cn-beijing --oss-bucket my-bucket
```
---
#### `bl knowledge collection get`
查看数据集合详情。
**用法**
```bash
bl knowledge collection get (--collection-id <id> | --name <text>) [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------------- | ------ | ---- | -------- |
| `--collection-id <id>` | string | 否¹ | 集合 ID |
| `--name <text>` | string | 否¹ | 集合名称 |
> ¹ `--collection-id` 和 `--name` 二选一,必须提供其一。
**参数约束**
- `--collection-id``--name` 互斥,必须提供其一
**输出**
text 模式:
```
id: conn-xxx
name: my-collection
description: team docs
```
quiet 模式:输出集合 ID。
json 模式:返回 API 原始响应。
**注意事项**
- getConnector 不返回 `fileConnectorConfig``storeType`/`regionId`/`bucketName`),这些字段仅在创建时通过请求体传入,查询时不可读回。
**示例**
```bash
# 按 ID 查询
bl knowledge collection get --collection-id conn-xxx --workspace-id ws-xxx
# 按名称查询
bl knowledge collection get --name my-collection
```
---
#### `bl knowledge category list`
列出数据中心分类。
**用法**
```bash
bl knowledge category list [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------------- | ------ | ---- | ------------------------------------------------------ |
| `--collection-id <id>` | string | 否 | 按集合 ID 过滤 |
| `--parent-id <id>` | string | 否 | 列出此分类的子分类 |
| `--name <text>` | string | 否 | 按分类名称过滤(精确匹配,与知识库列表的模糊匹配不同) |
| `--next-token <token>` | string | 否 | 游标分页令牌 |
| `--max-result <n>` | number | 否 | 每页条数默认20 |
**输出**
text 模式:
```
cate-xxx product-docs
cate-yyy system-docs [default]
next: --next-token eyJ...
```
> 标记 `[default]` 的是文件未指定分类时的默认归属。
quiet 模式:每行一个 `categoryId`
json 模式:返回 API 原始响应。
**注意事项**
- 分页是游标方式:使用输出的 `next: --next-token <token>` 继续翻页。
**示例**
```bash
# 列出所有分类
bl knowledge category list --workspace-id ws-xxx
# 按名称过滤
bl knowledge category list --name my-category
# 翻页
bl knowledge category list --next-token eyJ...
```
---
#### `bl knowledge category add`
创建数据中心分类。
**用法**
```bash
bl knowledge category add --name <text> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------------- | ------ | ---- | -------------------------------- |
| `--name <text>` | string | 是 | 分类名称1-20 字符) |
| `--parent-id <id>` | string | 否 | 创建为指定分类的子分类 |
| `--collection-id <id>` | string | 否 | 创建在此集合下(默认:平台集合) |
**参数约束**
- `--name` 长度 1-20 字符
**输出**
text 模式:
```
created: cate-xxx (product-docs)
```
quiet 模式:输出分类 ID。
json 模式:返回 API 原始响应。
**注意事项**
- 用分类按业务域组织数据中心文件。
**示例**
```bash
# 创建分类
bl knowledge category add --name product-docs --workspace-id ws-xxx
# 创建子分类
bl knowledge category add --name sub --parent-id cate-xxx
```
---
#### `bl knowledge category delete`
删除数据中心分类。
**用法**
```bash
bl knowledge category delete --category-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| -------------------- | ------ | ---- | ------------ |
| `--category-id <id>` | string | 是 | 分类 ID |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deleted: cate-xxx
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- 含文件或子分类的分类的删除行为由服务端定义——服务端错误原样透传。
**示例**
```bash
# 删除分类(交互确认)
bl knowledge category delete --category-id cate-xxx --workspace-id ws-xxx
# 跳过确认
bl knowledge category delete --category-id cate-xxx --yes
```
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# 文档管理命令手册
文档管理覆盖文件上传、OSS 导入、解析状态跟踪、文档删除和标签管理。文档导入知识库后自动解析为 chunk。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge doc list`
列出知识库中的文档及其解析/索引状态。
**用法**
```bash
bl knowledge doc list --index-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------- | ------ | ---- | ------------------------------ |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--page-number <n>` | number | 否 | 页码默认1 |
| `--page-size <n>` | number | 否 | 每页条数默认10最大 100 |
**参数约束**
- `--page-size` 范围 1-100
**输出**
text 模式:每行一个文档,`FAILED` 状态的文档红色高亮。
```
doc-xxx COMPLETED intro.md md 1024
total: 1
```
quiet 模式:每行一个 `doc_id`
json 模式:返回 API 原始响应。
**注意事项**
- `doc_id``file_id` 的关系:通过 `knowledge create --doc-id` 导入的文档,`doc_id` 等于 `fileId`;通过 `knowledge doc upload --index-id` 导入的,`doc_id` 可能包含 workspace 后缀。
- 页大小默认 10服务端默认最大 100。
**示例**
```bash
# 列出文档
bl knowledge doc list --index-id idx-xxx --workspace-id ws-xxx
# 每页 100 条
bl knowledge doc list --index-id idx-xxx --page-size 100
```
---
#### `bl knowledge doc status`
查看知识库导入任务状态。
**用法**
```bash
bl knowledge doc status --index-id <id> --job-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------------------- | ------ | ---- | --------------------------------------------------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--job-id <id>` | string | 是 | 导入任务 ID`ingestionId`,由 create/upload 返回) |
| `--page-number <n>` | number | 否 | 页码 |
| `--page-size <n>` | number | 否 | 每页条数 |
| `--wait` | switch | 否 | 轮询直到任务到达终态 |
| `--poll-interval <seconds>` | number | 否 | 轮询间隔秒数默认5 |
**输出**
text 模式:
```
status: COMPLETED
doc-xxx COMPLETED intro.md
```
quiet 模式:输出任务状态(`PENDING`/`RUNNING`/`COMPLETED`)。
json 模式:返回 API 原始响应,`data.rows[]` 包含每个文档的状态。
**注意事项**
- `--index-id``--job-id` 服务端均要求必传,只传一个会返回 `SystemError`
- 整体任务状态为 `PENDING` / `RUNNING` / `COMPLETED`(无 `FAILED` 值)。
- 单个文档可能解析失败(如 `PARSE_FAILED`),此时 CLI 以非零退出码报错,服务端消息原样透传。
- 如果服务端对空闲知识库返回 `SystemError`,说明该 job 可能不存在。
**示例**
```bash
# 查看任务状态
bl knowledge doc status --index-id idx-xxx --job-id job-xxx --workspace-id ws-xxx
# 轮询等待完成10 秒间隔
bl knowledge doc status --index-id idx-xxx --job-id job-xxx --wait --poll-interval 10
```
---
#### `bl knowledge doc upload`
上传本地文件或目录到数据中心,可选导入到知识库。
**用法**
```bash
bl knowledge doc upload --file <path> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------------------- | ------ | ---- | ---------------------------------------------------------------- |
| `--file <path>` | array | 是 | 本地文件或目录路径(可重复)。目录递归扫描,不支持的格式自动跳过 |
| `--index-id <id>` | string | 否 | 上传后导入到此知识库(所有文件合并为一个导入任务) |
| `--category-id <id>` | string | 否 | 目标数据中心分类(默认:工作区默认分类) |
| `--tag <text>` | array | 否 | 文件标签(可重复),应用到每个上传的文件 |
| `--wait` | switch | 否 | 轮询导入任务直到终态(需要 `--index-id` |
| `--poll-interval <seconds>` | number | 否 | 轮询间隔秒数默认5 |
**参数约束**
- `--wait` 要求同时指定 `--index-id`
**输出**
text 模式:
```
intro.md file-xxx registered
job: job-xxx
status: COMPLETED
Uploaded 1 file.
```
quiet 模式:每行一个 `fileId`
json 模式:返回自定义结构,包含 `files`(路径和 fileId`skipped``index_id``ingestion_id``final_status`
**注意事项**
- 上传管道:申请 lease → PUT 到 OSS → 注册文件 →(可选)创建导入任务。
- 目录递归扫描,`node_modules``.git` 等自动跳过。
- 多文件按顺序处理(无并发),避免 OSS 限流。
- 支持的文件格式:`.pdf .doc .docx .ppt .pptx .xls .xlsx .csv .md .txt .html .png .jpg .jpeg .bmp .gif`
- 部分文件上传失败时,已注册的 fileId 会在错误 hint 中列出。
**示例**
```bash
# 上传单个文件
bl knowledge doc upload --file ./a.md --workspace-id ws-xxx
# 上传多个文件并导入到知识库,等待完成
bl knowledge doc upload --file ./a.md --file ./b.pdf --index-id idx-xxx --wait
# 上传整个目录
bl knowledge doc upload --file ./docs/ --workspace-id ws-xxx
# 干跑预览(查看将上传和跳过的文件)
bl knowledge doc upload --file ./docs/ --dry-run --verbose
```
---
#### `bl knowledge doc delete`
从知识库中删除文档及其 chunk。
**用法**
```bash
bl knowledge doc delete --index-id <id> --doc-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | ----------------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--doc-id <id>` | array | 是 | 文档 ID可重复 |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deleted: 2 document(s)
doc-a
doc-b
```
quiet 模式:每行一个已删除的 `doc_id`
json 模式:返回 API 原始响应,`data.deleted[]` 为实际删除的 ID 列表。
**注意事项**
- 只从知识库索引中移除文档,数据中心源文件不受影响(用 `file delete` 删除源文件)。
- `doc_id` 应从 `knowledge doc list --quiet` 获取,而非 `doc upload` 返回的 `fileId`
- 删除是异步的:服务端立即返回 Success`doc list` 中可能仍显示该文档(约 30 秒后传播完成)。
- 输出的是服务端实际删除的 ID 列表,可能与请求的数量不一致(会在 stderr 警告)。
**示例**
```bash
# 删除单个文档
bl knowledge doc delete --index-id idx-xxx --doc-id doc-xxx --workspace-id ws-xxx
# 批量删除,跳过确认
bl knowledge doc delete --index-id idx-xxx --doc-id doc-a --doc-id doc-b --yes
```
---
#### `bl knowledge doc tag`
批量更新数据中心文件的标签。
**用法**
```bash
bl knowledge doc tag --doc-id <id> --tag <text> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------- | ------ | ---- | ------------------------------------------------------ |
| `--doc-id <id>` | array | 是 | 数据中心文件 ID可重复最多 20 个/次) |
| `--tag <text>` | array | 是 | 标签(可重复),应用到每个 `--doc-id` |
| `--mode <mode>` | string | 否 | 更新模式:`append`(默认,追加)或 `overwrite`(覆盖) |
**参数约束**
- `--doc-id` 最多 20 个/次
- `--tag` 最多 100 个
- 每个标签最多 32 字符
- 标签总长度最多 700 字符
- `--mode` 只能是 `append``overwrite`
**输出**
text 模式:
```
tagged: 2 file(s) with [project-a, draft]
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- 同一组标签应用到所有 `--doc-id`;不同标签集需多次执行。
**示例**
```bash
# 追加标签
bl knowledge doc tag --doc-id file-xxx --tag project-a --tag draft --workspace-id ws-xxx
# 覆盖标签
bl knowledge doc tag --doc-id file-a --doc-id file-b --tag final --mode overwrite
```
---
#### `bl knowledge doc import-oss`
从已授权的 OSS bucket 批量导入文件到数据中心。
**用法**
```bash
bl knowledge doc import-oss --bucket <name> --region <id> --oss-key <key> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| -------------------- | ------ | ---- | ------------------------------------- |
| `--bucket <name>` | string | 是 | 已授权的 OSS bucket 名称 |
| `--region <id>` | string | 是 | OSS region ID`cn-beijing` |
| `--oss-key <key>` | array | 是 | OSS 对象 key可重复最多 10 个/次) |
| `--category-id <id>` | string | 否 | 目标数据中心分类(默认:默认分类) |
| `--tag <text>` | array | 否 | 文件标签(可重复,最多 10 个) |
| `--overwrite` | switch | 否 | 覆盖之前从相同 OSS key 导入的文件 |
**参数约束**
- `--oss-key` 最多 10 个/次
- `--tag` 最多 10 个
**输出**
text 模式:
```
imported: 2 file(s)
file-a SUCCESS docs/a.pdf
file-b SUCCESS docs/b.docx
```
quiet 模式:每行一个 `fileId`
json 模式:返回 API 原始响应,`data.addFileResultList[]` 包含每个文件的 fileId、status 和 ossKey。
**注意事项**
- bucket 必须事先授权给平台服务角色RAM 中的 `AliyunServiceRoleForBailian`)。
- 文件名取自 OSS key 的 basename。
- `--overwrite` 会替换之前导入的文件并生成**新的 fileId**(旧 fileId 失效)。
**示例**
```bash
# 导入单个文件
bl knowledge doc import-oss --bucket my-bucket --region cn-beijing --oss-key docs/a.pdf --workspace-id ws-xxx
# 导入多个文件并覆盖
bl knowledge doc import-oss --bucket my-bucket --region cn-beijing --oss-key docs/a.pdf --oss-key docs/b.docx --overwrite
```
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# 数据中心文件管理命令手册
数据中心是知识库文件的存储层。文件通过 `doc upload``doc import-oss` 进入数据中心,再导入到知识库。数据中心文件可被多个知识库引用。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge file list`
列出数据中心分类下的文件。
**用法**
```bash
bl knowledge file list --category-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------------- | ------ | ---- | -------------------------------------------------- |
| `--category-id <id>` | string | 是 | 分类 ID通过 `category list``file get` 获取) |
| `--name <text>` | string | 否 | 按文件名过滤 |
| `--file-id <id>` | array | 否 | 按文件 ID 过滤(可重复) |
| `--next-token <token>` | string | 否 | 游标分页令牌(从上次输出获取) |
| `--max-result <n>` | number | 否 | 每页条数 |
**输出**
text 模式:
```
file-xxx SUCCESS intro.md 1024
next: --next-token eyJ...
```
quiet 模式:每行一个 `fileId`
json 模式:返回 API 原始响应。
**注意事项**
- `--category-id` 必须是真实的分类 ID。与上传 API 不同,字面量 `default` 在此不被解析,传入会返回空列表。通过 `file get` 的 category 字段或 `category list` 获取真实 ID。
- 分页是游标方式:使用输出的 `next: --next-token <token>` 继续翻页。
**示例**
```bash
# 列出分类下文件
bl knowledge file list --category-id cate-xxx --workspace-id ws-xxx
# 按名称过滤
bl knowledge file list --category-id cate-xxx --name report
# 翻页
bl knowledge file list --category-id cate-xxx --next-token eyJ...
```
---
#### `bl knowledge file get`
查看数据中心文件详情。
**用法**
```bash
bl knowledge file get --file-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------- | ------ | ---- | --------------- |
| `--file-id <id>` | string | 是 | 数据中心文件 ID |
**输出**
text 模式:
```
id: file-xxx
name: intro.md
type: md
size: 1024
status: SUCCESS
parser: AUTO_SELECT
category: cate-xxx
uploaded: 2026-01-01T00:00:00Z
tags: project-a, draft
```
quiet 模式:输出 JSON 格式。
json 模式:返回 API 原始响应。
**注意事项**
- 无特殊注意事项。
**示例**
```bash
# 查看文件详情
bl knowledge file get --file-id file-xxx --workspace-id ws-xxx
```
---
#### `bl knowledge file delete`
从数据中心永久删除文件。
**用法**
```bash
bl knowledge file delete --file-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------- | ------ | ---- | --------------- |
| `--file-id <id>` | string | 是 | 数据中心文件 ID |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deleted: file-xxx
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- **不可逆操作**:如果知识库引用了此文件,相关文档索引会失效。
-`doc delete` 的区别:`doc delete` 只从单个知识库索引中移除文档,数据中心源文件保留;`file delete` 删除源文件本身,影响所有引用它的知识库。
**示例**
```bash
# 删除文件(交互确认)
bl knowledge file delete --file-id file-xxx --workspace-id ws-xxx
# 跳过确认
bl knowledge file delete --file-id file-xxx --yes
```
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# 知识库管理命令手册
知识库Knowledge Base / pipeline / index是 RAG 的核心载体,存储文档解析后的向量索引。本组命令覆盖知识库的创建、查看、更新、删除和监控。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge list`
列出工作区中的知识库。
**用法**
```bash
bl knowledge list [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------- | ------ | ---- | --------------------------------- |
| `--name <text>` | string | 否 | 按知识库名称模糊过滤1-20 字符) |
| `--page-number <n>` | number | 否 | 页码默认1 |
| `--page-size <n>` | number | 否 | 每页条数默认20最大 100 |
**参数约束**
- `--name` 长度 1-20 字符
- `--page-size` 范围 1-100
**输出**
text 模式:每行一个知识库,字段以双空格分隔,末尾显示总数。
```
idx-xxx my-kb text-embedding-v4 600 product docs
total: 1
```
quiet 模式:每行一个知识库 ID。
json 模式:返回 API 原始响应,`data.rows[]` 包含完整知识库信息。
**注意事项**
- 返回的 `id` 字段作为后续命令的 `--index-id` 使用。
**示例**
```bash
# 列出所有知识库
bl knowledge list --workspace-id ws-xxx
# 按名称过滤,第二页
bl knowledge list --name demo --page-number 2 --page-size 50
```
---
#### `bl knowledge info`
查看知识库配置详情。
**用法**
```bash
bl knowledge info --index-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | --------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
**输出**
text 模式:按诊断维度分组展示。
```
Basic:
id: idx-xxx
name: my-kb
description: product docs
dataType: ...
Indexing: [immutable — recreate required to change]
embeddingModelName: text-embedding-v4
embeddingDimension: 1024
chunkSize: 600
overlapSize: ...
chunkMode: ...
separator: ...
Retrieval:
rerankModelName: ...
rerankMinScore: ...
rerankTopN: ...
rerankMode: ...
enableRewrite: ...
denseSimilarityTopK: ...
sparseSimilarityTopK: ...
Data:
sourceType: ...
connectorId: ...
```
quiet 模式:输出知识库 ID。
json 模式:返回知识库完整配置 JSON。
**注意事项**
- 索引设置(向量模型、切片大小等)不可变,修改需重建知识库。
**示例**
```bash
# 查看知识库详情
bl knowledge info --index-id idx-xxx --workspace-id ws-xxx
```
---
#### `bl knowledge create`
创建知识库并导入数据中心文件或分类。
**用法**
```bash
bl knowledge create --name <text> (--doc-id <id> | --category-id <id>) [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------------------- | ------ | ---- | -------------------------------------------------------- |
| `--name <text>` | string | 是 | 知识库名称1-20 字符,工作区内唯一) |
| `--doc-id <id>` | array | 否¹ | 数据中心文件 ID可重复`--category-id` 互斥 |
| `--category-id <id>` | array | 否¹ | 按分类导入该分类下所有文件(可重复);与 `--doc-id` 互斥 |
| `--embedding-model <name>` | string | 否 | 向量模型名称(默认:`text-embedding-v4` |
| `--chunk-size <n>` | number | 否 | 切片大小字符数默认600建议 300-800 |
| `--wait` | switch | 否 | 轮询初始导入任务直到终态 |
| `--poll-interval <seconds>` | number | 否 | 轮询间隔秒数默认5 |
> ¹ `--doc-id` 和 `--category-id` 二选一,必须提供其一。
**参数约束**
- `--name` 长度 1-20 字符
- `--doc-id``--category-id` 互斥,必须提供其一
**输出**
text 模式:
```
index_id: idx-xxx
ingestion_id: job-xxx
status: COMPLETED
Next: check the import job status, then search against this knowledge base.
```
quiet 模式:只输出知识库 ID。
json 模式:返回 API 原始响应,包含 `pipelineId`(知识库 ID`ingestionId`(导入任务 ID`--wait` 时追加 `final_status` 字段。
**注意事项**
- 结构/存储类型固定为默认文档知识库非结构化BUILT_IN 存储)。
- 返回知识库 ID`pipelineId`)和初始导入任务 ID`ingestionId`)。
- 使用 `doc status``--wait` 跟踪导入进度。
- 如果 `--wait` 后部分文档解析失败CLI 以非零退出码报错,知识库已创建成功的事实会在 hint 中提示。
**示例**
```bash
# 从指定文件创建知识库
bl knowledge create --name demo --doc-id file-xxx --workspace-id ws-xxx
# 从分类导入并等待导入完成
bl knowledge create --name demo --category-id cate-xxx --wait
# 指定向量模型和切片大小
bl knowledge create --name my-kb --doc-id file-a --doc-id file-b --embedding-model text-embedding-v4 --chunk-size 400 --workspace-id ws-xxx
```
---
#### `bl knowledge update`
更新知识库名称、描述或 rerank 阈值。
**用法**
```bash
bl knowledge update --index-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ---------------------------- | ------ | ---- | -------------------------------------------------------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--name <text>` | string | 否 | 新名称1-20 字符) |
| `--description <text>` | string | 否 | 新描述 |
| `--rerank-min-score <score>` | number | 否 | rerank 最低分数阈值,范围 0-1低于此分的 chunk 被过滤) |
**参数约束**
- 至少提供 `--name``--description``--rerank-min-score` 之一,否则报错 "Nothing to update"
- `--name` 长度 1-20 字符
- `--rerank-min-score` 范围 0-1
**输出**
text 模式:
```
updated: idx-xxx
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- 索引设置(向量模型、切片大小等)不可变,修改需重建知识库。
**示例**
```bash
# 更新描述
bl knowledge update --index-id idx-xxx --description "product docs v2" --workspace-id ws-xxx
# 调整 rerank 阈值
bl knowledge update --index-id idx-xxx --rerank-min-score 0.3
```
---
#### `bl knowledge delete`
删除知识库及其所有文档和 chunk。
**用法**
```bash
bl knowledge delete --index-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | ------------ |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deleted: idx-xxx
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- **不可逆操作**:知识库及所有索引内容被永久删除。
- 数据中心中的源文件不受影响,仅删除知识库索引。
- 不带 `--yes`CLI 会先查询知识库名称和文档数量作为确认摘要。
**示例**
```bash
# 删除(交互确认)
bl knowledge delete --index-id idx-xxx --workspace-id ws-xxx
# 跳过确认
bl knowledge delete --index-id idx-xxx --yes
```
---
#### `bl knowledge stats`
查看知识库存储和 QPS 监控数据。
**用法**
```bash
bl knowledge stats --index-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | ----------------------------------------------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--start <time>` | string | 否 | 范围起始Unix 秒或 ISO 日期默认24 小时前) |
| `--end <time>` | string | 否 | 范围结束Unix 秒或 ISO 日期(默认:当前时间) |
**输出**
text 模式:
```
plan: ...
storage: 100 / 1000
peak qps: 5
qps windows: 24 data point(s)
```
quiet 模式:输出 json 格式。
json 模式:返回 API 原始响应,包含 `storageMonitorData``qpsMonitorData`
**注意事项**
- 默认查询最近 24 小时数据。
- 时间戳自动转换为 epoch 秒API 要求秒级字符串。13 位毫秒时间戳会自动降为秒。
**示例**
```bash
# 查看最近 24 小时监控
bl knowledge stats --index-id idx-xxx --workspace-id ws-xxx
# 指定日期范围
bl knowledge stats --index-id idx-xxx --start 2026-07-30 --end 2026-07-31
```
---
← [返回总览](../knowledge-cli-guide.md)
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# `bl knowledge` 命令完整用法指南
> `bl knowledge` / `kscli` 知识库 CLI 命令总览,覆盖全部 34 个子命令。完整参数与示例请参阅各子域手册。
---
## 目录
1. [概述](#概述)
2. [核心概念与实体关系](#核心概念与实体关系)
3. [通用约定](#通用约定)
4. [典型工作流](#典型工作流)
5. [命令手册](#命令手册)
- [知识库管理](#知识库管理) → [完整手册](knowledge/kb.md)
- [文档管理](#文档管理) → [完整手册](knowledge/doc.md)
- [检索服务管理](#检索服务管理) → [完整手册](knowledge/service.md)
- [Chunk 管理](#chunk-管理) → [完整手册](knowledge/chunk.md)
- [数据中心文件管理](#数据中心文件管理) → [完整手册](knowledge/file.md)
- [数据中心集合与分类](#数据中心集合与分类) → [完整手册](knowledge/collection-category.md)
- [检索与对话](#检索与对话) → [完整手册](knowledge/search-chat.md)
6. [常见错误与排查](#常见错误与排查)
7. [附录:命令速查表](#附录命令速查表)
---
## 概述
`bl knowledge` 是阿里云百炼 CLI 的知识库命令组,覆盖 RAG检索增强生成全链路能力
- **知识库全生命周期管理**:创建、查看、更新、删除、监控
- **文档管理**:上传本地文件、从 OSS 批量导入、查看解析状态、删除、打标签
- **Chunk 级运维**:直接增删改查知识库中的内容切片
- **检索服务管理**:创建/部署/复制/删除 Q&A 和检索服务agent管理 draft 与发布版本
- **数据中心管理**文件、集合connector、分类的增删查
- **检索与对话**语义检索search、多轮对话chat、兼容旧检索retrieve
共 34 个子命令,按功能域分为 7 组。所有命令均使用 DashScope API Key 鉴权。
---
## 核心概念与实体关系
```
┌─────────────────────────────────────────────────────────────┐
│ 数据中心 (Data Center) │
│ │
│ 集合 (Collection) ──┬── 分类 (Category) ── 文件 (File) │
│ │ "connector" 可多级嵌套 │
│ └── 默认分类 │
│ │
│ 文件来源doc upload(本地上传) / doc import-oss(OSS导入) │
└──────────────────────────┬──────────────────────────────────┘
│ 导入 (import job)
┌─────────────────────────────────────────────────────────────┐
│ 知识库 (Knowledge Base) │
│ │
│ 知识库 (KB / pipeline / index) │
│ ├── 文档 (Doc) ── 解析状态: PENDING/RUNNING/COMPLETED │
│ │ └── Chunk ── 内容切片,可增删改查、排除/恢复检索 │
│ └── 索引设置 (immutable): 向量模型、切片大小等 │
│ │
│ 知识库管理命令: create / list / info / update / delete / stats │
└──────────────────────────┬──────────────────────────────────┘
│ 绑定 (agent_config.kb_search_configs)
┌─────────────────────────────────────────────────────────────┐
│ 检索服务 (Service / Agent) │
│ │
│ Service (agent) │
│ ├── scene: chat (Q&A) 或 search (检索) │
│ ├── 版本: beta (草稿) → 1, 2, 3... (已发布) │
│ ├── 状态: draft → deployed → edited → deleted │
│ └── 配置: 模型、温度、策略、rerank 等 │
│ │
│ 消费方式: search (语义检索) / chat (多轮对话) │
│ 管理命令: create / update / deploy / copy / delete / list / get │
└─────────────────────────────────────────────────────────────┘
```
**关键关系**
- **数据中心文件 → 知识库**:通过 `knowledge create --doc-id``knowledge doc upload --index-id` 导入,文件解析后自动生成 chunk
- **知识库 → 检索服务**:一个服务可绑定多个知识库,服务配置中 `kb_search_configs` 指定关联的知识库 ID
- **检索服务 → 检索/对话**`search``chat` 命令通过 `--agent-id` 指定服务来执行检索或对话
---
## 通用约定
### 鉴权
所有 `bl knowledge` 命令均使用 **DashScope API Key**Bearer token鉴权。获取方式百炼控制台 API Key 页面。
优先级(高 → 低):
1. `--api-key <key>` 命令行参数
2. `DASHSCOPE_API_KEY` 环境变量
3. 配置文件中的 `api_key``bl config set api_key <key>`
### Workspace ID
知识库 API 使用 workspace 级域名(`{workspaceId}.cn-beijing.maas.aliyuncs.com`),因此 **几乎所有 knowledge 命令都需要 workspace ID**
优先级(高 → 低):
1. `--workspace-id <id>` 命令行参数
2. `BAILIAN_WORKSPACE_ID` 环境变量
3. 配置文件中的 `workspace_id``bl config set workspace_id <id>`
缺失时报错:`Workspace ID is required.`
### 全局通用参数
以下参数在所有 `bl knowledge` 子命令中通用,后续命令手册中不再逐条列出:
| 参数 | 类型 | 说明 |
| --------------------- | ------ | ----------------------------------------------------------- |
| `--output <format>` | string | 输出格式:`text`(默认,人类友好)或 `json`API 原始响应) |
| `--api-key <key>` | string | DashScope API Key |
| `--base-url <url>` | string | API 基地址(一般不需要指定) |
| `--timeout <seconds>` | number | 请求超时秒数 |
| `--quiet` | switch | 静默模式,只输出关键结果(如 ID 列表) |
| `--verbose` | switch | 详细模式,打印 HTTP 请求/响应详情到 stderr |
| `--dry-run` | switch | 干跑模式,预览将发送的请求结构,不实际调用 API |
| `--config <name>` | string | 使用指定配置 profile 执行命令 |
> **注意**:命令手册中每个命令的参数表只列出该命令**特有**的参数。上述全局参数对所有命令有效。
### 输出格式约定
- **text 模式**(默认):人类友好的表格/结构化文本,适合终端查看。不同命令的输出格式见各命令的「输出」部分。
- **json 模式**`--output json`):返回 API 原始 JSON 响应,适合程序化处理和 agent 解析。
- **quiet 模式**`--quiet`):只输出最精简的结果(通常只有 ID适合管道串联。
### 危险操作确认
涉及删除的命令(`kb delete``doc delete``chunk delete``file delete``category delete``service delete``service deploy`)在执行前会弹出二次确认提示。使用 `--yes` 可跳过确认,适用于自动化脚本。
### Dry-run 模式
`--dry-run` 模式下,命令会输出将发送的 endpoint 和 request body但**不实际发起网络请求**。部分命令在 dry-run 下仍会执行本地校验(如文件扩展名检查、参数约束检查)。
---
## 典型工作流
### 场景 A从零搭建知识库并检索
```bash
# 1. 上传本地文件到数据中心,同时导入到新知识库
bl knowledge doc upload --file ./docs/intro.md --workspace-id ws-xxx
# → 返回 file-id
# 2. 用文件创建知识库
bl knowledge create --name my-kb --doc-id file-xxx --workspace-id ws-xxx --wait
# → 返回 index-id (pipelineId) 和导入任务状态
# 3. 创建检索服务search 场景)
bl knowledge service create --name my-search --scene search --index-id idx-xxx --workspace-id ws-xxx
# → 返回 agent-id
# 4. 部署服务
bl knowledge service deploy --agent-id aid-xxx --workspace-id ws-xxx --yes
# 5. 执行检索
bl knowledge search --query "什么是RAG" --agent-id aid-xxx --workspace-id ws-xxx
```
### 场景 B上传目录并导入到已有知识库
```bash
# 1. 上传整个目录到数据中心并直接导入到知识库(一步到位)
bl knowledge doc upload --file ./docs/ --index-id idx-xxx --workspace-id ws-xxx --wait
# → 文件逐个上传到 OSS → 注册到数据中心 → 创建合并导入任务 → 轮询到完成
# 2. 检查文档状态
bl knowledge doc list --index-id idx-xxx --workspace-id ws-xxx
# → 查看 doc_id 和解析状态
# 3. 如果有文档解析失败,查看导入任务详情
bl knowledge doc status --index-id idx-xxx --job-id job-xxx --workspace-id ws-xxx
```
### 场景 C创建并部署 Q&A 服务
```bash
# 1. 创建 chat 场景的检索服务
bl knowledge service create --name my-qa --scene chat --index-id idx-xxx --workspace-id ws-xxx
# → 初始状态: draft, 版本: beta
# 2. 调整配置(如修改模型、温度)
bl knowledge service update --agent-id aid-xxx --model qwen-max --temperature 0.7 --workspace-id ws-xxx
# 3. 用 beta 版本测试
bl knowledge chat --message "什么是RAG?" --agent-id aid-xxx --agent-version beta --workspace-id ws-xxx
# 4. 测试通过后发布
bl knowledge service deploy --agent-id aid-xxx --version-desc "首版" --workspace-id ws-xxx --yes
```
### 场景 D知识库内容运维
```bash
# 1. 查看 chunk 列表
bl knowledge chunk list --index-id idx-xxx --workspace-id ws-xxx
# → 返回 metadata._id (chunk id) 和 metadata.doc_id (document id)
# 2. 修改 chunk 内容
bl knowledge chunk update --index-id idx-xxx --chunk-id chunk-xxx --doc-id doc-xxx --content "修正后的内容" --workspace-id ws-xxx
# 3. 排除某个 chunk 不参与检索(不删除内容)
bl knowledge chunk update --index-id idx-xxx --chunk-id chunk-xxx --doc-id doc-xxx --exclude --workspace-id ws-xxx
# 4. 手动添加新 chunk
bl knowledge chunk add --index-id idx-xxx --content "新增的知识片段" --title "补充说明" --workspace-id ws-xxx
# 5. 删除 chunk批量自动分批每 10 个一组)
bl knowledge chunk delete --index-id idx-xxx --chunk-id chunk-a --chunk-id chunk-b --yes --workspace-id ws-xxx
```
### 场景 E服务迁移/复用
```bash
# 1. 复制现有服务为新草稿
bl knowledge service copy --agent-id aid-source --workspace-id ws-xxx
# → 返回新的 agent-id名称加 copy_ 前缀
# 2. 修改新服务配置
bl knowledge service update --agent-id aid-new --name "改进版" --temperature 0.5 --workspace-id ws-xxx
# 3. 测试并发布
bl knowledge chat --message "测试" --agent-id aid-new --agent-version beta --workspace-id ws-xxx
bl knowledge service deploy --agent-id aid-new --workspace-id ws-xxx --yes
```
### 场景 F从 OSS 批量导入文件
```bash
# 1. 从已授权的 OSS bucket 批量导入文件到数据中心
bl knowledge doc import-oss \
--bucket my-bucket --region cn-beijing \
--oss-key docs/a.pdf --oss-key docs/b.docx \
--workspace-id ws-xxx
# → 返回各文件的 fileId
# 2. 创建知识库并导入这些文件
bl knowledge create --name oss-kb --doc-id file-a --doc-id file-b --workspace-id ws-xxx --wait
# 3. 检索
bl knowledge search --query "相关内容" --agent-id aid-xxx --workspace-id ws-xxx
```
---
## 命令手册
以下按功能域分组,覆盖全部 34 个子命令。每个条目包含功能说明、用法签名kscli 前缀)和详细手册链接。
> 完整参数表、参数约束、输出说明、注意事项与示例请参阅各子域手册。子域手册中的用法签名使用 `bl knowledge` 前缀。
---
### 知识库管理
> 📖 [完整手册](knowledge/kb.md) — 6 个命令
#### `kscli kb list`
列出工作区中的知识库。
```bash
kscli kb list [flags]
```
→ [完整参数与示例](knowledge/kb.md#bl-knowledge-list)
---
#### `kscli kb info`
查看知识库配置详情。
```bash
kscli kb info --index-id <id> [flags]
```
→ [完整参数与示例](knowledge/kb.md#bl-knowledge-info)
---
#### `kscli kb create`
创建知识库并导入数据中心文件或分类。
```bash
kscli kb create --name <text> (--doc-id <id> | --category-id <id>) [flags]
```
→ [完整参数与示例](knowledge/kb.md#bl-knowledge-create)
---
#### `kscli kb update`
更新知识库名称、描述或 rerank 阈值。
```bash
kscli kb update --index-id <id> [flags]
```
→ [完整参数与示例](knowledge/kb.md#bl-knowledge-update)
---
#### `kscli kb delete`
删除知识库及其所有文档和 chunk。
```bash
kscli kb delete --index-id <id> [flags]
```
→ [完整参数与示例](knowledge/kb.md#bl-knowledge-delete)
---
#### `kscli kb stats`
查看知识库存储和 QPS 监控数据。
```bash
kscli kb stats --index-id <id> [flags]
```
→ [完整参数与示例](knowledge/kb.md#bl-knowledge-stats)
---
### 文档管理
> 📖 [完整手册](knowledge/doc.md) — 6 个命令
#### `kscli doc list`
列出知识库中的文档及其解析/索引状态。
```bash
kscli doc list --index-id <id> [flags]
```
→ [完整参数与示例](knowledge/doc.md#bl-knowledge-doc-list)
---
#### `kscli doc status`
查看知识库导入任务状态。
```bash
kscli doc status --index-id <id> --job-id <id> [flags]
```
→ [完整参数与示例](knowledge/doc.md#bl-knowledge-doc-status)
---
#### `kscli doc upload`
上传本地文件或目录到数据中心,可选导入到知识库。
```bash
kscli doc upload --file <path> [flags]
```
→ [完整参数与示例](knowledge/doc.md#bl-knowledge-doc-upload)
---
#### `kscli doc delete`
从知识库中删除文档及其 chunk。
```bash
kscli doc delete --index-id <id> --doc-id <id> [flags]
```
→ [完整参数与示例](knowledge/doc.md#bl-knowledge-doc-delete)
---
#### `kscli doc tag`
批量更新数据中心文件的标签。
```bash
kscli doc tag --doc-id <id> --tag <text> [flags]
```
→ [完整参数与示例](knowledge/doc.md#bl-knowledge-doc-tag)
---
#### `kscli doc import-oss`
从已授权的 OSS bucket 批量导入文件到数据中心。
```bash
kscli doc import-oss --bucket <name> --region <id> --oss-key <key> [flags]
```
→ [完整参数与示例](knowledge/doc.md#bl-knowledge-doc-import-oss)
---
### 检索服务管理
> 📖 [完整手册](knowledge/service.md) — 7 个命令
#### `kscli service list`
列出工作区中的检索/Q&A 服务。
```bash
kscli service list --scene <chat|search> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-list)
---
#### `kscli service get`
查看服务详情,含各版本配置。
```bash
kscli service get --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-get)
---
#### `kscli service create`
创建检索/Q&A 服务,初始状态为 draft版本为 beta。
```bash
kscli service create --name <text> --scene <chat|search> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-create)
---
#### `kscli service update`
更新服务名称、描述或草稿配置。
```bash
kscli service update --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-update)
---
#### `kscli service deploy`
发布 beta 草稿为新版本。
```bash
kscli service deploy --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-deploy)
---
#### `kscli service delete`
删除检索/Q&A 服务(软删除,幂等)。
```bash
kscli service delete --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-delete)
---
#### `kscli service copy`
复制服务为新草稿(名称自动加 `copy_` 前缀)。
```bash
kscli service copy --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/service.md#bl-knowledge-service-copy)
---
### Chunk 管理
> 📖 [完整手册](knowledge/chunk.md) — 4 个命令
#### `kscli chunk add`
直接向知识库添加 chunk。
```bash
kscli chunk add --index-id <id> (--content <text> | --field <k=v>) [flags]
```
→ [完整参数与示例](knowledge/chunk.md#bl-knowledge-chunk-add)
---
#### `kscli chunk list`
列出知识库中的 chunk含内容和状态。
```bash
kscli chunk list --index-id <id> [flags]
```
→ [完整参数与示例](knowledge/chunk.md#bl-knowledge-chunk-list)
---
#### `kscli chunk update`
更新 chunk 内容或切换其检索可见性。
```bash
kscli chunk update --index-id <id> --chunk-id <id> --doc-id <id> [flags]
```
→ [完整参数与示例](knowledge/chunk.md#bl-knowledge-chunk-update)
---
#### `kscli chunk delete`
从知识库中删除 chunk不可逆
```bash
kscli chunk delete --index-id <id> --chunk-id <id> [flags]
```
→ [完整参数与示例](knowledge/chunk.md#bl-knowledge-chunk-delete)
---
### 数据中心文件管理
> 📖 [完整手册](knowledge/file.md) — 3 个命令
#### `kscli file list`
列出数据中心分类下的文件。
```bash
kscli file list --category-id <id> [flags]
```
→ [完整参数与示例](knowledge/file.md#bl-knowledge-file-list)
---
#### `kscli file get`
查看数据中心文件详情。
```bash
kscli file get --file-id <id> [flags]
```
→ [完整参数与示例](knowledge/file.md#bl-knowledge-file-get)
---
#### `kscli file delete`
从数据中心永久删除文件。
```bash
kscli file delete --file-id <id> [flags]
```
→ [完整参数与示例](knowledge/file.md#bl-knowledge-file-delete)
---
### 数据中心集合与分类
> 📖 [完整手册](knowledge/collection-category.md) — 5 个命令
#### `kscli collection create`
创建 FILE 数据集合。
```bash
kscli collection create --name <text> --description <text> [flags]
```
→ [完整参数与示例](knowledge/collection-category.md#bl-knowledge-collection-create)
---
#### `kscli collection get`
查看数据集合详情。
```bash
kscli collection get (--collection-id <id> | --name <text>) [flags]
```
→ [完整参数与示例](knowledge/collection-category.md#bl-knowledge-collection-get)
---
#### `kscli category list`
列出数据中心分类。
```bash
kscli category list [flags]
```
→ [完整参数与示例](knowledge/collection-category.md#bl-knowledge-category-list)
---
#### `kscli category add`
创建数据中心分类。
```bash
kscli category add --name <text> [flags]
```
→ [完整参数与示例](knowledge/collection-category.md#bl-knowledge-category-add)
---
#### `kscli category delete`
删除数据中心分类。
```bash
kscli category delete --category-id <id> [flags]
```
→ [完整参数与示例](knowledge/collection-category.md#bl-knowledge-category-delete)
---
### 检索与对话
> 📖 [完整手册](knowledge/search-chat.md) — 3 个命令
#### `kscli retrieve`
从知识库检索(已废弃,请用 `search` 替代)。
```bash
kscli retrieve --index-id <id> --query <text> [flags]
```
→ [完整参数与示例](knowledge/search-chat.md#bl-knowledge-retrieve)
---
#### `kscli search`
对知识库执行语义检索RAG 检索)。
```bash
kscli search --query <text> --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/search-chat.md#bl-knowledge-search)
---
#### `kscli chat`
与知识库进行 RAG 对话(流式输出)。
```bash
kscli chat --message <text> --agent-id <id> [flags]
```
→ [完整参数与示例](knowledge/search-chat.md#bl-knowledge-chat)
---
## 常见错误与排查
### Workspace ID 缺失
**报错**`Workspace ID is required.`
**原因**:所有 knowledge 管理命令都需要 workspace ID 来构造 API 端点(`{workspaceId}.cn-beijing.maas.aliyuncs.com`)。
**解决**
```bash
# 方式1命令行参数
bl knowledge list --workspace-id ws-xxx
# 方式2环境变量
export BAILIAN_WORKSPACE_ID=ws-xxx
# 方式3配置文件
bl config set workspace_id ws-xxx
```
### 知识库 ID 不存在
**报错**`Knowledge base not found: idx-xxx`
**原因**`--index-id` 指定的知识库在当前 workspace 中不存在。
**解决**:先 `bl knowledge list` 确认知识库 ID。
### 导入任务 SystemError
**报错**:服务端返回 `SystemError`
**原因**`doc status` 传入了不存在的 job ID或知识库空闲无任务。
**解决**:检查 `doc list` 输出中的 `ingestionId`,或从 `doc upload`/`knowledge create` 的返回值获取。
### doc_id 与 fileId 混淆
**问题**`doc delete` 时用了 `doc upload` 返回的 `fileId` 而非 `doc list` 返回的 `doc_id`
**原因**:通过 `knowledge create --doc-id` 导入的文档,`doc_id` 等于 `fileId`;但通过 `doc upload --index-id` 导入的,`doc_id` 可能含 workspace 后缀。
**解决**:始终用 `doc list --quiet` 获取 `doc_id`
### retrieve 已废弃
**问题**`retrieve` 命令输出废弃警告。
**解决**:改用 `search` 命令。`search` 通过 `--agent-id` 驱动检索策略支持多知识库、路由、rerank 等高级特性。`retrieve` 直接操作 `--index-id`,功能受限且不再迭代。
### OSS 导入权限错误
**报错**:服务端返回权限相关错误。
**原因**OSS bucket 未授权给平台服务角色。
**解决**:检查 RAM 控制台中的 `AliyunServiceRoleForBailian` 角色是否已正确授权。
### Chat SSE error
**报错**`Chat API error` + API error code。
**原因**:流式对话过程中服务端返回 error 事件。
**解决**:检查 `--agent-id` 是否存在、服务是否已部署、API Key 是否有效。错误消息和 code 原样透传,不二次包装。
### file list 返回空
**问题**`file list --category-id default` 返回空列表。
**原因**:与上传 API 不同,`file list` 不解析字面量 `default`,需要真实分类 ID。
**解决**:通过 `file get` 的 category 字段或 `category list` 获取真实分类 ID。
### 集合无法删除
**问题**:没有 `collection delete` 命令。
**原因**:暂不支持通过 CLI 删除。
**解决**:创建集合需谨慎。如需隔离,创建新集合并迁移文件。
---
## 附录:命令速查表
| 命令 | 功能 | 关键参数 |
| ------------------------- | ------------ | ----------------------------------------------------------- |
| `kscli kb list` | 列出知识库 | `--name` |
| `kscli kb info` | 知识库详情 | `--index-id` |
| `kscli kb create` | 创建知识库 | `--name`, `--doc-id`/`--category-id` |
| `kscli kb update` | 更新知识库 | `--index-id`, `--name`/`--description`/`--rerank-min-score` |
| `kscli kb delete` | 删除知识库 | `--index-id`, `--yes` |
| `kscli kb stats` | 监控数据 | `--index-id`, `--start`/`--end` |
| `kscli doc list` | 文档列表 | `--index-id` |
| `kscli doc status` | 导入任务状态 | `--index-id`, `--job-id`, `--wait` |
| `kscli doc upload` | 上传文件 | `--file`, `--index-id`, `--wait` |
| `kscli doc delete` | 删除文档 | `--index-id`, `--doc-id` |
| `kscli doc tag` | 文件打标签 | `--doc-id`, `--tag`, `--mode` |
| `kscli doc import-oss` | OSS 导入 | `--bucket`, `--region`, `--oss-key` |
| `kscli service list` | 服务列表 | `--scene` |
| `kscli service get` | 服务详情 | `--agent-id` |
| `kscli service create` | 创建服务 | `--name`, `--scene`, `--index-id` |
| `kscli service update` | 更新服务 | `--agent-id`, 配置参数 |
| `kscli service deploy` | 发布服务 | `--agent-id`, `--yes` |
| `kscli service delete` | 删除服务 | `--agent-id`, `--yes` |
| `kscli service copy` | 复制服务 | `--agent-id` |
| `kscli chunk add` | 添加 chunk | `--index-id`, `--content`/`--field` |
| `kscli chunk list` | chunk 列表 | `--index-id`, `--doc-id` |
| `kscli chunk update` | 更新 chunk | `--index-id`, `--chunk-id`, `--doc-id` |
| `kscli chunk delete` | 删除 chunk | `--index-id`, `--chunk-id`, `--yes` |
| `kscli file list` | 文件列表 | `--category-id` |
| `kscli file get` | 文件详情 | `--file-id` |
| `kscli file delete` | 删除文件 | `--file-id`, `--yes` |
| `kscli collection create` | 创建集合 | `--name`, `--description` |
| `kscli collection get` | 集合详情 | `--collection-id`/`--name` |
| `kscli category list` | 分类列表 | `--collection-id`, `--parent-id` |
| `kscli category add` | 创建分类 | `--name`, `--parent-id` |
| `kscli category delete` | 删除分类 | `--category-id`, `--yes` |
| `kscli retrieve` | 检索(废弃) | `--index-id`, `--query` |
| `kscli search` | 语义检索 | `--query`, `--agent-id` |
| `kscli chat` | RAG 对话 | `--message`, `--agent-id` |
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# 检索与对话命令手册
以下命令通过检索服务agent消费知识库。`search` 用于语义检索,`chat` 用于多轮对话。`retrieve` 已废弃。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge retrieve`
从知识库检索(已废弃,请用 `search` 替代)。
**用法**
```bash
bl knowledge retrieve --index-id <id> --query <text> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------------------- | ------ | ---- | --------------------------------------------------- |
| `--index-id <id>` | string | 是 | 知识库 ID |
| `--query <text>` | string | 是 | 检索查询文本 |
| `--dense-similarity-top-k <n>` | number | 否 | 稠密检索 top K |
| `--sparse-similarity-top-k <n>` | number | 否 | 稀疏检索 top K |
| `--rerank` | switch | 否 | 启用 rerank |
| `--rerank-top-n <n>` | number | 否 | rerank 返回 top N 结果 |
| `--rerank-model <name>` | string | 否 | rerank 模型名,如 `qwen3-rerank-hybrid` |
| `--rerank-mode <mode>` | string | 否 | rerank 模式:`qa``similar``custom` |
| `--rerank-instruct <text>` | string | 否 | 自定义 rerank 指令(`--rerank-mode custom` 时使用) |
| `--top-k <n>` | number | 否 | 返回结果数(已废弃,用 `--rerank-top-n` 替代) |
**输出**
text/quiet 模式:
```
[1] (score: 0.9512)
检索到的文本内容...
[2] (score: 0.8734)
另一段文本内容...
```
> 无结果时输出 `No results found.`
json 模式:返回 API 原始响应。
**注意事项**
- **已废弃**,推荐使用 `search` 命令。`search` 通过 agent_id 驱动检索策略,支持更多高级特性。
- `--top-k` 已废弃,使用 `--rerank-top-n` 替代,传入 `--top-k` 会输出 stderr 警告。
- 此命令直接用 `--index-id` 检索,不需要创建检索服务。
**示例**
```bash
# 基础检索
bl knowledge retrieve --index-id idx-xxx --query "How to use Alibaba Cloud Bailian" --workspace-id ws-xxx
# 启用 rerank
bl knowledge retrieve --index-id idx-xxx --query "RAG retrieval" --rerank --rerank-model qwen3-rerank-hybrid
```
---
#### `bl knowledge search`
对知识库执行语义检索RAG 检索)。
**用法**
```bash
bl knowledge search --query <text> --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------------------- | ------ | ---- | ------------------------------------------------------------------- |
| `--query <text>` | string | 是 | 检索查询文本(不可为空) |
| `--agent-id <id>` | string | 是 | 检索服务 ID在控制台知识检索页面获取或通过 `service list` 查看) |
| `--agent-version <version>` | string | 否 | 服务版本:`beta`(调试草稿)或已发布版本号;默认调用最新已发布版本 |
| `--image <url>` | array | 否 | 图片 URL可重复用于多模态检索 |
**参数约束**
- `--query` 不可为空API 要求 `minLength: 1`
**输出**
text/quiet 模式:
```
[1] (score: 0.9512)
检索到的文本内容...
[2] (score: 0.8734)
另一段文本内容...
```
> 无结果时输出 `No results found.`
json 模式:返回 API 原始响应,`data.nodes[]` 包含检索结果。
**注意事项**
- 检索范围和策略多知识库加权、路由、rerank 等)由 `--agent-id` 对应的服务配置驱动。只需 `--query``--agent-id` 即可调用。
- `--agent-version beta` 调试草稿配置进行调试,部署前验证效果。
-`retrieve` 的区别:`search` 通过 agent_id 间接驱动检索策略支持多知识库、路由、rerank 等),`retrieve` 直接操作 index_id 且功能较少。
**示例**
```bash
# 基础检索
bl knowledge search --query "What is RAG?" --agent-id aid-xxx --workspace-id ws-xxx
# 多模态检索(带图片)
bl knowledge search --query "describe this image" --agent-id aid-xxx --workspace-id ws-xxx --image https://example.com/img.jpg
# 调试草稿版本
bl knowledge search --query "test" --agent-id aid-xxx --agent-version beta --workspace-id ws-xxx
```
---
#### `bl knowledge chat`
与知识库进行 RAG 对话(流式输出)。
**用法**
```bash
bl knowledge chat --message <text> --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------------------- | ------ | ---- | ------------------------------------------------------------------------------------------------------------------------------ |
| `--message <text>` | array | 是¹ | 消息文本(可重复)。支持 `role:content` 前缀设置角色(如 `user:hello`),默认角色为 `user`。也支持完整 JSON 对象传递结构化消息 |
| `--agent-id <id>` | string | 是 | Q&A 服务 ID在控制台知识问答页面获取或通过 `service list --scene chat` 查看) |
| `--agent-version <version>` | string | 否 | 服务版本:`beta`(调试草稿)或已发布版本号;默认调用最新已发布版本 |
| `--image <url>` | array | 否 | 图片 URL可重复。附加到最后一条 user 消息作为多模态内容 |
> ¹ `--message` 或 `--image` 至少提供其一。纯图片查询可以只传 `--image`CLI 会自动创建空 user 消息承载图片)。
**参数约束**
- `--message``--image` 至少提供一个
- `--image` 不能与已包含 `image_url` 内容部分的消息同时使用
**输出**
**TTY text 模式**(实时流式):
```
🔍 Retrieving...
✍️ Generating...
这是AI生成的回答内容逐字流式输出...
```
> 进度标签由 SSE `step_change` 事件驱动:`tool_calling`(检索中)→ `plan_start`(规划中)→ `generation_start`(生成中)。
**非 TTY text 模式**(缓冲输出):
```
完整的回答文本...
```
**json 模式**`--output json`
```json
{
"answer": "完整的回答文本...",
"request_id": "xxx"
}
```
quiet 模式:输出完整的回答文本。
**注意事项**
- API 仅支持 SSE 流式响应。TTY 环境下实时打印 token非 TTY 环境缓冲后输出完整文本。
- SSE 事件生命周期:`tool_calling``tool_return``plan_start``planning``plan_end``generation_start``generating``generation_end``tool_calling``tool_return` 可能循环多次。
- 多轮对话:用 `--message "user:..."``--message "assistant:..."` 传递对话历史。
- `--agent-version beta` 调用草稿配置进行调试。
- `--image` 附加到最后一条 user 消息上。如果消息中已包含 `image_url` 内容部分,则不能再用 `--image`
- `--verbose` 模式下,所有 SSE 事件详情会输出到 stderr。
**示例**
```bash
# 单轮对话
bl knowledge chat --message "What is RAG?" --agent-id aid-xxx --workspace-id ws-xxx
# 多轮对话(带历史)
bl knowledge chat \
--message "user:What is RAG?" \
--message "assistant:RAG is retrieval-augmented generation..." \
--message "How does it work?" \
--agent-id aid-xxx --workspace-id ws-xxx
# 多模态对话(带图片)
bl knowledge chat \
--message "Describe these images" \
--image https://example.com/a.png \
--image https://example.com/b.png \
--agent-id aid-xxx --workspace-id ws-xxx
# 调试草稿版本
bl knowledge chat --message "test" --agent-id aid-xxx --agent-version beta --workspace-id ws-xxx
```
---
← [返回总览](../knowledge-cli-guide.md)
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# 检索服务管理命令手册
检索服务(也称 agent是知识库的检索入口。通过 `--agent-id` 在 search/chat 命令中使用。服务有 `chat`(问答)和 `search`(检索)两种场景。
> **通用约定**鉴权、Workspace ID、全局参数、输出格式、危险操作确认、Dry-run 模式)请参阅 [总览文档](../knowledge-cli-guide.md#通用约定)。
---
#### `bl knowledge service list`
列出工作区中的检索/Q&A 服务。
**用法**
```bash
bl knowledge service list --scene <chat|search> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------------ | ------ | ---- | ------------------------------------------------------- |
| `--scene <chat\|search>` | string | 是 | 服务场景:`chat`Q&A`search`(检索) |
| `--status <status>` | string | 否 | 按状态过滤:`draft``deployed`(含 edited`deleted` |
| `--name <text>` | string | 否 | 按服务名称模糊过滤 |
| `--agent-id <id>` | string | 否 | 按精确 agent ID 过滤 |
| `--index-id <id>` | string | 否 | 按关联知识库 ID 过滤 |
| `--page-number <n>` | number | 否 | 页码默认1 |
| `--page-size <n>` | number | 否 | 每页条数默认10最大 100 |
**参数约束**
- `--scene` 只能是 `chat``search`
- `--status` 只能是 `draft``deployed``deleted`
- `--page-size` 范围 1-100
**输出**
text 模式:
```
aid-xxx deployed 2 my-qa (kb: my-kb)
total: 1
Use an agent_id above with the knowledge chat command.
```
> 最后一行根据 scene 自动提示用 `search` 还是 `chat` 命令消费。
quiet 模式:每行一个 `agent_id`
json 模式:返回 API 原始响应。
**注意事项**
- 服务端要求 `--scene` 必填,要查看两种场景的服务需分别执行。
**示例**
```bash
# 列出 chat 服务
bl knowledge service list --scene chat --workspace-id ws-xxx
# 只看已部署的检索服务
bl knowledge service list --scene search --status deployed
```
---
#### `bl knowledge service get`
查看服务详情,含各版本配置。
**用法**
```bash
bl knowledge service get --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| --------------------------- | ------ | ---- | --------------------------------------------------------- |
| `--agent-id <id>` | string | 是 | 服务agentID |
| `--agent-version <version>` | string | 否 | 指定版本查看(`beta` 或已发布版本号);不传则返回所有版本 |
**输出**
text 模式:
```
Basic:
id: aid-xxx
name: my-qa
desc: product Q&A
scene: chat
status: deployed
Version beta:
desc: draft
policy: turbo
model: qwen-max
temperature: 0.7
kb: idx-xxx (my-kb)
Version 1:
published: 2026-01-01
...
```
quiet 模式:输出 JSON 格式。
json 模式:返回 API 原始响应。
**注意事项**
- 不传 `--agent-version` 时返回所有版本beta 草稿 + 已发布版本号)。
- 版本值原样传递,有效值集合由服务端维护。
**示例**
```bash
# 查看服务完整详情
bl knowledge service get --agent-id aid-xxx --workspace-id ws-xxx
# 只看 beta 草稿配置
bl knowledge service get --agent-id aid-xxx --agent-version beta
```
---
#### `bl knowledge service create`
创建检索/Q&A 服务,初始状态为 draft版本为 beta。
**用法**
```bash
bl knowledge service create --name <text> --scene <chat|search> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------------ | ------ | ---- | ------------------------------------------------- |
| `--name <text>` | string | 是 | 服务名称(最多 200 字符,同一场景下工作区内唯一) |
| `--scene <chat\|search>` | string | 是 | 服务场景:`chat`Q&A`search`(检索) |
| `--description <text>` | string | 否 | 服务描述(最多 1000 字符) |
| `--index-id <id>` | string | 否 | 绑定此知识库;其他配置使用服务端默认值 |
**参数约束**
- `--name` 最多 200 字符
- `--scene` 只能是 `chat``search`
- `--description` 最多 1000 字符
**输出**
text 模式:
```
created: aid-xxx (status: draft, version: beta)
Test the draft with --agent-version beta on search/chat, then deploy it to publish.
```
quiet 模式:输出 agent ID。
json 模式:返回 API 原始响应。
**注意事项**
- 不指定 `--index-id` 时,服务端使用默认 agent 配置。
- beta 草稿可通过 search/chat 的 `--agent-version beta` 测试,部署后才生效。
- 需要工作区的知识库创建权限。
**示例**
```bash
# 创建 Q&A 服务
bl knowledge service create --name my-qa --scene chat --workspace-id ws-xxx
# 创建检索服务并绑定知识库
bl knowledge service create --name my-search --scene search --index-id idx-xxx
```
---
#### `bl knowledge service update`
更新服务名称、描述或草稿配置。
**用法**
```bash
bl knowledge service update --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ------------------------------ | ------ | ---- | ---------------------------------------------------------------------------------------- |
| `--agent-id <id>` | string | 是 | 服务agentID |
| `--name <text>` | string | 否 | 新名称(最多 200 字符) |
| `--description <text>` | string | 否 | 新描述(最多 1000 字符) |
| `--agent-version <version>` | string | 否 | 目标版本默认beta 草稿。已发布版本只接受 `--version-desc` |
| `--version-desc <text>` | string | 否 | 版本描述 |
| `--policy <policy>` | string | 否 | Agent 策略:`turbo`(快速)或 `agentic`(多轮) |
| `--model <name>` | string | 否 | 生成模型代码(须在平台白名单中) |
| `--temperature <n>` | number | 否 | 采样温度,范围 0-2 |
| `--max-llm-calls <n>` | number | 否 | 单次请求最大 LLM 调用次数,范围 1-30 |
| `--enable-session-file <bool>` | string | 否 | 启用会话文件:`true``false` |
| `--enable-refusal <bool>` | string | 否 | 启用拒答:`true``false` |
| `--enable-anti-leak <bool>` | string | 否 | 启用防泄漏:`true``false` |
| `--enable-rich-text <bool>` | string | 否 | 启用富文本输出:`true``false` |
| `--enable-citation <bool>` | string | 否 | 启用引用标注:`true``false` |
| `--config-file <path>` | string | 否 | JSON 文件替换整个 `agent_config`(含嵌套设置如 `kb_search_configs`);与标量配置参数互斥 |
**参数约束**
- 至少提供一个更新项(`--name`/`--description`/`--version-desc`/`--config-file`/标量配置参数),否则报错 "Nothing to update"
- `--config-file` 与标量配置参数(`--policy`/`--model`/`--temperature` 等)互斥
- 已发布版本 + 配置变更 → 报错(已发布版本只接受 `--version-desc`
- `--name` 最多 200 字符;`--description` 最多 1000 字符
- `--policy` 只能是 `turbo``agentic`
- `--temperature` 范围 0-2
- `--max-llm-calls` 范围 1-30
- 布尔参数(`--enable-*`)只能是 `true``false`
**输出**
text 模式:
```
updated: aid-xxx
Draft config changed — verify with --agent-version beta, then deploy.
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- 配置变更只作用于 beta 草稿;已发布版本只接受 `--version-desc`
- 标量配置参数采用 read-merge-writeCLI 先读取当前 beta 配置再合并变更后整体提交API 是整替换语义)。
- `--config-file` 替换整个配置,适合设置嵌套字段(如 `kb_search_configs`)。
- 修改草稿后用 `--agent-version beta` 在 search/chat 上测试,通过后 `service deploy` 发布。
**示例**
```bash
# 调整温度
bl knowledge service update --agent-id aid-xxx --temperature 0.7 --workspace-id ws-xxx
# 用 JSON 文件替换整个配置
bl knowledge service update --agent-id aid-xxx --config-file ./agent-config.json
# 给已发布版本 1 加描述
bl knowledge service update --agent-id aid-xxx --agent-version 1 --version-desc "first stable release"
```
---
#### `bl knowledge service deploy`
发布 beta 草稿为新版本。
**用法**
```bash
bl knowledge service deploy --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------------- | ------ | ---- | ---------------- |
| `--agent-id <id>` | string | 是 | 服务agentID |
| `--version-desc <text>` | string | 否 | 新版本的描述说明 |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deployed: aid-xxx version 2
```
quiet 模式:输出新版本号。
json 模式:返回 API 原始响应。
**注意事项**
- 版本号自动递增,状态变为 `deployed`
- 发布影响线上调用方,确认提示会警告。
- 如果当前状态为 `edited`(已发布后又改了草稿),确认提示会额外警告「发布会覆盖线上行为」。
- 需要工作区的知识库修改权限。
**示例**
```bash
# 发布(交互确认)
bl knowledge service deploy --agent-id aid-xxx --workspace-id ws-xxx
# 带描述并跳过确认
bl knowledge service deploy --agent-id aid-xxx --version-desc "tuned rerank params" --yes
```
---
#### `bl knowledge service delete`
删除检索/Q&A 服务(软删除,幂等)。
**用法**
```bash
bl knowledge service delete --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | --------------- |
| `--agent-id <id>` | string | 是 | 服务agentID |
| `--yes` | switch | 否 | 跳过确认提示 |
**输出**
text 模式:
```
deleted: aid-xxx (status: deleted)
```
quiet 模式:无输出。
json 模式:返回 API 原始响应。
**注意事项**
- 删除不可撤销,`agent_id` 不再可用于 search/chat 调用。
- API 是幂等的:删除已删除的服务不会报错。
- 如果服务状态为 `deployed``edited`,确认提示会额外警告「此服务正在线上运行」。
- 需要工作区的知识库删除权限。
**示例**
```bash
# 删除(交互确认)
bl knowledge service delete --agent-id aid-xxx --workspace-id ws-xxx
# 跳过确认
bl knowledge service delete --agent-id aid-xxx --yes
```
---
#### `bl knowledge service copy`
复制服务为新草稿(名称自动加 `copy_` 前缀)。
**用法**
```bash
bl knowledge service copy --agent-id <id> [flags]
```
**参数**
| 参数 | 类型 | 必填 | 说明 |
| ----------------- | ------ | ---- | ----------------- |
| `--agent-id <id>` | string | 是 | 源服务agentID |
**输出**
text 模式:
```
new agent_id: aid-new (name: copy_my-qa, status: draft)
Test the draft with --agent-version beta on search/chat, then deploy it to publish.
```
quiet 模式:输出新 agent ID。
json 模式:返回 API 原始响应。
**注意事项**
- 副本初始为 beta 草稿,测试后需 deploy 发布。
- 需要工作区的知识库创建权限。
**示例**
```bash
# 复制服务
bl knowledge service copy --agent-id aid-source --workspace-id ws-xxx
```
---
← [返回总览](../knowledge-cli-guide.md)
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# 模型训练 + 数据集 + 部署:最小闭环 CLI 设计
> 目标:一个 Qwen 文本模型 SFT 训练、数据集上传、模型部署的端到端最小链路。
---
## 一、命令概览
| 优先级 | 命令 | 映射 API | 用途 |
| ------ | ----------------------------------- | --------------------------------------------- | ------------------------------- |
| P0 | `bl dataset upload <path>` | `POST /api/v1/files` | 上传训练数据(含本地格式校验) |
| P0 | `bl finetune create` | `POST /api/v1/fine-tunes` | 创建 SFT 训练任务(预填默认超参) |
| P0 | `bl finetune status <job_id>` | `GET /api/v1/fine-tunes/{job_id}` | 查询训练状态 |
| P0 | `bl deploy create` | `POST /api/v1/deployments` | 部署训练好的模型 |
| P1 | `bl finetune logs <job_id>` | `GET /api/v1/fine-tunes/{job_id}/logs` | 拉取训练日志 |
| P1 | `bl finetune checkpoints <job_id>` | `GET /api/v1/fine-tunes/{job_id}/checkpoints` | 查看/挑选 Checkpoint |
| P1 | `bl deploy status <deployed_model>` | `GET /api/v1/deployments/{deployed_model}` | 查询部署状态 |
| P1 | `bl deploy delete <deployed_model>` | `DELETE /api/v1/deployments/{deployed_model}` | 下线部署 |
| P1 | `bl infer --model <deployed_model>` | 复用 `text chat` 通路 | 调用已部署模型 |
---
## 二、P0 命令详细设计
### 2.1 `bl dataset upload`
**定位:** 上传训练数据文件到百炼平台,获取 `file_id` 供训练任务引用。
#### CLI 签名
```
bl dataset upload <path> [--purpose fine-tune] [--validate] [--no-validate]
```
| Flag | 必填 | 默认值 | 说明 |
| --------------- | ---- | ----------- | ------------------------------ |
| `<path>` | 是 | — | 本地文件路径(.jsonl 或 .zip |
| `--purpose` | 否 | `fine-tune` | 文件用途标签 |
| `--validate` | 否 | `true` | 上传前执行本地格式校验 |
| `--no-validate` | 否 | — | 跳过本地校验 |
#### 本地格式校验规则(提交前拦截)
校验逻辑在 `packages/core` 实现纯函数CLI 调用后展示错误:
1. **文件格式检查**:仅允许 `.jsonl``.zip`zip 内根目录必须有 `data.jsonl`
2. **JSONL 逐行校验**
- 每行可被 `JSON.parse`
- 顶层必须包含 `messages` 数组
- `messages` 中每项必须包含 `role`(枚举:`system` | `user` | `assistant`)和 `content`(非空字符串)
- 至少包含一条 `user` + 一条 `assistant` 消息
3. **数量校验**SFT 训练至少需要上千条数据(给出 warning 而非 hard fail阈值建议 ≥ 10 条 hard fail
4. **文件体积**:≤ 300MB
#### 校验失败输出示例
```
✗ Validation failed:
Line 3: missing "messages" field
Line 7: role "bot" is not valid (expected: system | user | assistant)
Line 12: "content" is empty string
Fix 3 errors above and retry.
```
#### API 调用
```
POST https://dashscope.aliyuncs.com/api/v1/files
Content-Type: multipart/form-data
Authorization: Bearer <api-key>
Body:
files: <binary>
purpose: "fine-tune"
Response 200:
{
"id": "file-xxxx",
"bytes": 12345,
"filename": "train.jsonl",
"purpose": "fine-tune",
"created_at": 1700000000
}
```
#### 输出
- 默认 text`✓ Uploaded file-xxxx (12.3 KB) — use this ID in bl finetune create`
- `--output json`:完整 response body
- `--quiet`:仅输出 `file-xxxx`
---
### 2.2 `bl finetune create`
**定位:** 创建一个 SFT 训练任务。核心设计原则——**预填合理默认超参 + 提交前二次确认**,降低 OOM/超参不合理导致的训练失败率。
#### CLI 签名
```
bl finetune create --model <model> --data <file_id> [hyperparams...]
```
| Flag | 必填 | 默认值 | 说明 |
| ------------------- | ---- | ------------ | -------------------------------------------- |
| `--model` | 是 | — | 基座模型(如 `qwen3-8b`, `qwen3-14b` |
| `--data` | 是 | — | 训练数据 file_idbl dataset upload 返回值) |
| `--validation-data` | 否 | — | 验证数据 file_id |
| `--epochs` | 否 | 3 | 训练轮次 (n_epochs) |
| `--batch-size` | 否 | 按模型自动选 | 批大小 |
| `--lr` | 否 | 按模型自动选 | 学习率 (learning_rate_multiplier) |
| `--warmup-ratio` | 否 | 0.1 | warmup 比例 |
| `--suffix` | 否 | — | 输出模型后缀名 |
| `--yes` / `-y` | 否 | — | 跳过确认直接提交 |
#### 预填默认超参策略
| 基座模型 | batch_size | lr_multiplier | n_epochs | 备注 |
| ---------- | ---------- | ------------- | -------- | ---------------- |
| qwen3-8b | 4 | 1e-5 | 3 | 小模型可大 batch |
| qwen3-14b | 2 | 5e-6 | 3 | 中模型防 OOM |
| qwen3-32b+ | 1 | 2e-6 | 2 | 大模型保守设置 |
> 以上为建议默认值,用户显式传参时覆盖。具体映射表在 `packages/core/src/finetune/defaults.ts` 维护。
#### 提交前交互确认
`--yes` 模式下,显示任务摘要等待确认:
```
┌─ Fine-tune Job Summary ──────────────────────┐
│ Model: qwen3-8b │
│ Training: file-abc123 (2,048 samples) │
│ Validation: (none) │
│ Epochs: 3 │
│ Batch size: 4 │
│ LR: 1e-5 │
│ Warmup: 0.1 │
│ Suffix: my-assistant │
│ │
│ Estimated cost: ~¥XX (based on token count) │
└───────────────────────────────────────────────┘
Proceed? [Y/n]
```
#### API 调用
```
POST https://dashscope.aliyuncs.com/api/v1/fine-tunes
Authorization: Bearer <api-key>
Content-Type: application/json
{
"model": "qwen3-8b",
"training_file_ids": ["file-abc123"],
"validation_file_ids": [],
"hyper_parameters": {
"n_epochs": 3,
"batch_size": 4,
"learning_rate": "1e-5",
"warmup_ratio": 0.1
},
"suffix": "my-assistant"
}
Response 200:
{
"job_id": "ft-xxxx",
"status": "PENDING",
"model": "qwen3-8b",
"created_at": "2025-01-01T00:00:00Z",
"training_file_ids": ["file-abc123"],
"hyper_parameters": {...},
"trained_model": null
}
```
#### 输出
- text`✓ Fine-tune job ft-xxxx created (PENDING). Track with: bl finetune status ft-xxxx`
- json完整 response body
- quiet`ft-xxxx`
---
### 2.3 `bl finetune status`
**定位:** 查询训练任务状态,支持 `--wait` 轮询模式。
#### CLI 签名
```
bl finetune status <job_id> [--wait] [--interval <seconds>]
```
| Flag | 必填 | 默认值 | 说明 |
| ------------ | ---- | ------ | ---------------- |
| `<job_id>` | 是 | — | 任务 ID |
| `--wait` | 否 | — | 持续轮询直到终态 |
| `--interval` | 否 | 30 | 轮询间隔(秒) |
#### 状态机
```
PENDING → RUNNING → SUCCEEDED
↘ FAILED
```
#### 输出text 模式)
单次查询:
```
Job: ft-xxxx
Status: RUNNING (elapsed 12m)
Model: qwen3-8b
Output: (pending)
```
`--wait` 模式spinner + 实时刷新):
```
⠋ ft-xxxx RUNNING [14:32 elapsed]
✓ ft-xxxx SUCCEEDED — trained model: qwen3-8b:ft-xxxx-20250101
Deploy with: bl deploy create --model qwen3-8b:ft-xxxx-20250101
```
失败时:
```
✗ ft-xxxx FAILED
Error: OutOfMemory — try reducing --batch-size or using a smaller model
```
---
### 2.4 `bl deploy create`
**定位:** 将训练好的模型(或 checkpoint部署为可调用的推理服务。
#### CLI 签名
```
bl deploy create --model <model_name> [--plan <plan>] [--capacity <n>]
```
| Flag | 必填 | 默认值 | 说明 |
| ------------ | ---- | ---------- | ----------------------------------------------- |
| `--model` | 是 | — | 待部署模型名称finetune 产出的 trained_model |
| `--plan` | 否 | `standard` | 部署方案 |
| `--capacity` | 否 | 依 plan | 并发容量 |
| `--wait` | 否 | — | 等待部署就绪 |
#### API 调用
```
POST https://dashscope.aliyuncs.com/api/v1/deployments
Authorization: Bearer <api-key>
Content-Type: application/json
{
"model_name": "qwen3-8b:ft-xxxx-20250101",
"plan": "standard",
"capacity": 2
}
Response 200:
{
"deployed_model": "qwen3-8b-ft-xxxx",
"model_name": "qwen3-8b:ft-xxxx-20250101",
"status": "PENDING",
"created_at": "..."
}
```
#### 输出
```
✓ Deployment created: qwen3-8b-ft-xxxx (PENDING)
Once RUNNING, call with: bl text chat --model qwen3-8b-ft-xxxx
Check status: bl deploy status qwen3-8b-ft-xxxx
```
---
## 三、P1 命令简要设计
### 3.1 `bl finetune logs <job_id>`
流式输出训练日志,支持 `--follow`(类似 `tail -f`)。输出 loss/step/epoch 信息。
### 3.2 `bl finetune checkpoints <job_id>`
列出可选 checkpointstep, loss, eval metrics支持 `--output json` 供脚本使用。可配合 `bl deploy create --model <checkpoint_model>` 部署指定 checkpoint。
### 3.3 `bl deploy status <deployed_model>`
查询部署状态及资源信息PENDING → RUNNING → STOPPED/FAILED
### 3.4 `bl deploy delete <deployed_model>`
下线部署。需部署处于 RUNNING/STOPPED/FAILED 状态。交互确认或 `--yes` 跳过。
### 3.5 `bl infer --model <deployed_model>`
实际可复用已有 `bl text chat --model <deployed_model>` 通路,作为别名/快捷方式。P1 考虑是否有独立存在必要。
---
## 四、代码架构方案
按照 monorepo 分层约定core 纯逻辑 / cli 是 UI
### packages/core 新增模块
```
packages/core/src/
├── finetune/
│ ├── index.ts # re-export
│ ├── api.ts # createFineTune, getFineTune, getFineTuneLogs, getCheckpoints
│ ├── defaults.ts # 模型 → 默认超参映射表
│ └── types.ts # FineTuneJob, HyperParameters, CheckpointInfo 类型
├── dataset/
│ ├── index.ts
│ ├── upload.ts # uploadDataset (multipart)
│ ├── validate.ts # validateJsonl (纯函数,逐行校验)
│ └── types.ts # DatasetFile, ValidationError 类型
└── deploy/
├── index.ts
├── api.ts # createDeployment, getDeployment, deleteDeployment
└── types.ts # Deployment, DeploymentStatus 类型
```
### packages/cli 新增命令
```
packages/cli/src/commands/
├── dataset/
│ └── upload.ts # bl dataset upload
├── finetune/
│ ├── create.ts # bl finetune create
│ ├── status.ts # bl finetune status
│ ├── logs.ts # bl finetune logs
│ └── checkpoints.ts # bl finetune checkpoints
└── deploy/
├── create.ts # bl deploy create
├── status.ts # bl deploy status
└── delete.ts # bl deploy delete
```
---
## 五、关键设计决策
### 5.1 数据格式校验放在 CLI 侧(提交前拦截)
训练失败 TOP 原因中"数据格式错误"占比高。与其等服务端 10 分钟后返回 FAILED不如 CLI 本地秒级校验:
- **validate.ts** 是纯函数,接收 ReadableStream/Buffer返回 `ValidationError[]`
- CLI 在 `dataset upload` 默认执行校验,`--no-validate` 允许跳过
- 未来可扩展为独立命令 `bl dataset validate <path>`
### 5.2 超参预填 + 确认而非强制
- core 维护 `defaults.ts` 映射:`model → { batch_size, lr, epochs }`
- CLI `finetune create` 未指定超参时自动填入
- 提交前展示完整参数面板(非 --yes 模式),避免"我以为用了默认但其实没传"
### 5.3 费用感知P1+
- 图像/语音/视频训练费用远高于文本。MVP 阶段Qwen 文本 SFT费用可控
- 后续扩展多模态时,在 confirm panel 中强化费用估算提示
- `bl quota check` 已存在,可在 `finetune create` 内部集成余额预检
### 5.4 `bl infer` 是否独立存在
建议 P1 阶段**不新增** `bl infer`,而是让 `bl text chat --model <deployed_model>` 直接工作。部署完成后的引导文案中指明这个用法即可。减少命令膨胀。
---
## 六、最小闭环用户操作流
```bash
# 1. 准备数据 → 上传(含校验)
bl dataset upload ./train.jsonl
# ✓ Uploaded file-abc123 (5.2 MB)
# 2. 创建训练任务(自动预填超参)
bl finetune create --model qwen3-8b --data file-abc123
# Shows summary panel → confirm → ✓ Job ft-xxxx created
# 3. 等待训练完成
bl finetune status ft-xxxx --wait
# ⠋ RUNNING [23:15] → ✓ SUCCEEDED: qwen3-8b:ft-xxxx-20250601
# 4. 部署模型
bl deploy create --model qwen3-8b:ft-xxxx-20250601 --wait
# ✓ Deployed: qwen3-8b-ft-xxxx (RUNNING)
# 5. 调用模型
bl text chat --model qwen3-8b-ft-xxxx "你好,介绍一下你自己"
# (正常推理输出)
```
---
## 七、实现顺序建议
```
Phase 1 (P0 — 最小闭环):
core: dataset/validate.ts → dataset/upload.ts → finetune/api.ts → deploy/api.ts
cli: dataset upload → finetune create → finetune status → deploy create
测试: 单元测试 validate.ts + e2e dry-run + 真实 API 端到端一次
Phase 2 (P1 — 可观测性):
finetune logs → finetune checkpoints → deploy status → deploy delete
费用估算集成
Phase 3 (后续):
bl dataset validate (独立命令)
bl dataset list (查看已上传)
bl finetune list (查看历史任务)
多模态 SFT 支持(图像/视频数据格式校验扩展)
```
---
## 八、风险与 TODO
| 风险点 | 影响 | 缓解措施 |
| ----------------- | ----------------- | --------------------------------------------- |
| OOM 训练失败 | 用户浪费时间/金钱 | 保守默认超参 + batch_size 自适应模型大小 |
| 数据格式错误 | 训练启动后才失败 | 本地校验拦截,启动秒级反馈 |
| 部署等待时间长 | 用户困惑 | `--wait` + 预估时间提示 |
| 费用超预期 | 账号欠费 | confirm panel 预估费用P1 集成 quota check |
| API endpoint 变动 | 调用失败 | 端点集中管理在 core/client/endpoints.ts |
+4 -1
View File
@@ -16,16 +16,19 @@
"ready": "vp check && vp run -r test && vp run -r build",
"prepare": "vp config",
"check": "vp check",
"sync:skill-assets": "pnpm --filter \"bailian-cli^...\" run build && pnpm --filter bailian-cli run generate:reference && pnpm --filter bailian-cli run sync:skill-version",
"sync:skill-assets": "pnpm --filter bailian-cli run generate:reference && pnpm --filter bailian-cli run sync:skill-version",
"dev": "pnpm -F bailian-cli-core dev",
"bl": "pnpm -F bailian-cli dev",
"kscli": "pnpm -F knowledge-studio-cli dev",
"test": "vp test",
"test:journey": "vp test packages/commands/tests/e2e/knowledge/journeys",
"release:check": "node tools/release/check.mjs",
"wiki:crawl": "node tools/wiki-crawler/index.mjs",
"test:stress": "node packages/cli/tests/stress/run.mjs"
},
"dependencies": {},
"devDependencies": {
"tsx": "catalog:",
"vite-plus": "catalog:"
},
"engines": {
+4 -1
View File
@@ -2,4 +2,7 @@ node_modules
dist
*.log
.DS_Store
outputs/
outputs/
# agents
agents.state.json
.env
+102 -114
View File
@@ -5,7 +5,7 @@
**The official command-line interface for Aliyun Model Studio (DashScope) AI Platform**
[![npm version](https://img.shields.io/npm/v/bailian-cli?color=0969da&label=npm)](https://www.npmjs.com/package/bailian-cli)
[![Node.js](https://img.shields.io/badge/node-%3E%3D22.12-brightgreen)](https://nodejs.org)
[![Node.js](https://img.shields.io/badge/node-%3E%3D18.17-brightgreen)](https://nodejs.org)
[![TypeScript](https://img.shields.io/badge/TypeScript-strict-3178c6)](https://www.typescriptlang.org)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE)
@@ -13,8 +13,9 @@
---
_Chat with Qwen, generate images & videos, understand images, call agents,_
_manage memory, search the web — all from your terminal._
_Chat with Qwen, generate and edit images and videos, understand images, synthesize_
_and recognize speech, call apps, manage memory, retrieve knowledge, search the web —_
_every AI capability, one command away._
_Built for AI Agents. Every command works as a structured tool call._
@@ -22,27 +23,16 @@ _Built for AI Agents. Every command works as a structured tool call._
## Features
Equip your AI Agent out-of-the-box with these capabilities, composable across complex tasks:
- **Model generation** — Full-modality generation across text, image, video, and speech, with editing and reference-based generation
- **Asset understanding** — Parse and ask questions about images, documents, audio, and long videos
- **App orchestration** — Call Managed Agents, agents, and workflows published on Aliyun Model Studio, wired to knowledge bases, memory, web search, and MCP tools
- **Training & deployment** — Validate and upload datasets, fine-tune models, deploy dedicated models as endpoints
- **Account operations** — Login, UI-based configuration, model marketplace, usage and quota, rate-limit increases, team seat management
- **Plan onboarding** — Connect subscription plans such as Token Plan to the CLI and common coding agents in one step
- **Text chat** — Qwen3.7-max: major gains in agentic coding, frontend coding, and vibe coding
- **Multimodal (Omni)** — Full omni-modal support across text + image + audio + video
- **Image generation & editing** — Qwen-Image 2.0: pro text rendering, photorealism, strong semantic adherence, multi-image composition
- **Video generation & editing** — happyhorse-1.1 series: text-/image-/reference-to-video and natural-language video editing (up to 9-image reference)
- **Speech synthesis & recognition** — CosyVoice streaming TTS, voice cloning from 520s samples; FunAudio-ASR covers 30 languages including 7 Chinese dialects and 20+ Mandarin accents
- **Image & video understanding** — Qwen-VL: long-form video analysis, chart/document parsing, visual reasoning, multilingual OCR
> **Note:** App orchestration, training & deployment, account operations, and plan onboarding are currently available only to China site (aliyun.com) account holders and are not yet supported for international / global site accounts.
> **Note:** The features below are currently available only to China site (aliyun.com) account holders and are not yet supported for international / global site accounts.
- **Knowledge base & memory** — Multimodal RAG retrieval and cross-session memory for personalized, coherent dialogue
- **App calls** — Invoke agents and workflows already published on Aliyun Model Studio
- **MCP integration** — Orchestrate Bailian MCP servers: list services, inspect tools, and invoke any tool directly from the terminal
- **Web search** — Real-time internet retrieval for up-to-date, accurate answers
- **Model recommendation** — Describe your scenario and get best-fit model suggestions; supports scoped search, model comparison, and alternative discovery
- **Fine-tuning & deployment** — Upload datasets, create SFT/LoRA/DPO/CPT jobs (`finetune create`), probe job status non-blockingly (`finetune watch`), query per-model training capability (`finetune capability`), and deploy trained models as endpoints (`deploy create`)
- **Console capabilities** — Browse Bailian apps (`app list`), check free-tier quota (`usage free`), view model usage statistics (`usage stats`), manage workspaces (`workspace list`), and manage rate limits (`quota list/request/check/history`)
- **Local file auto-upload** — Every URL parameter accepts a local path; uploaded to free temp storage with 48-hour validity
## Showcase: One-Sentence Cinematic Video
## Showcase 1: A Cinematic Short Film from One Sentence
<p align="center">
<a href="https://cloud.video.taobao.com/vod/dS2F4huqbw5Nfe5L3wwb3grz2q2DNYD3retq8dU-iHo.mp4">
@@ -55,126 +45,114 @@ Equip your AI Agent out-of-the-box with these capabilities, composable across co
A complete **2-minute, 16:9 cinematic short film** — produced end-to-end from a single natural-language sentence, with **zero manual editing**. This showcase demonstrates how an AI Agent can compose a multi-step creative pipeline by orchestrating three primitives:
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** — the agentic coding model that interprets the user's intent and drives the workflow
- **[Aliyun Model Studio CLI](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)** — invokes **HappyHorse 1.1**, Aliyun Model Studio's text-/image-/reference-to-video generation model
- **[Aliyun Model Studio CLI](https://github.com/modelstudioai/cli/)** — invokes **HappyHorse 1.1**, Aliyun Model Studio's text-/image-/reference-to-video generation model
- **[spark-video Skill](https://github.com/JohnKeating1997/spark-video)** — handles scene decomposition, storyboarding, shot continuity, and final stitching
### The single prompt
> _"Generate a roughly 2-minute video in Japanese cinematic style — a sweet, innocent first-love story about a high-school girl. The plot should be heart-fluttering enough to make viewers want to fall in love. Aspect ratio: 16:9."_
>
> _(Original: "帮我生成一段日系影视风格高中女生的青涩初恋故事剧情高甜让人看了想谈恋爱2分钟左右的视频尺寸是16:9")_
### How it works
## Showcase 2: A Short-Film Director Managed Agent from One Sentence
1. **Qwen Code** parses the request, plans the narrative beats, and decides which tools to call.
2. The **spark-video Skill** breaks the story into shots, writes per-shot prompts, and enforces visual continuity (characters, lighting, palette, lens language).
3. **`bl video generate`** dispatches each shot to **HappyHorse 1.1** in parallel.
4. The skill stitches all clips back together into a single 16:9 / ~2-min deliverable.
<p align="center">
<a href="https://cloud.video.taobao.com/vod/2v0GYLbJSQb2saj4iopTJDW3iRIHsintYlK-wTKbhqE.mp4">
<img src="https://img.alicdn.com/imgextra/i4/6000000001674/O1CN01xhzixhxltbH3LxWu_!!6000000001674-0-tbvideo.jpg" alt="Click to play the demo video" width="720" />
</a>
</p>
No timeline scrubbing. No frame-by-frame editing. Just one sentence → one video.
<p align="center"><i>👆 Click the cover to play the full demo</i></p>
One sentence builds a reusable cloud-side short-film director for storyboarding, storyboard image generation, and video creation:
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** — understands the requirement and generates the agent configuration
- **[Aliyun Model Studio CLI](https://github.com/modelstudioai/cli/)** — validates the configuration, previews the changes, and completes the deployment
- **[Managed Agent](https://bailian.console.aliyun.com/cn-beijing/?tab=managed-agents#/managed-agents/quick-start)** — runs the director role along with its skills and tools in the cloud
### The single prompt
> _"Build me a Managed Agent app that can produce short films — a director expert that generates videos and can also design the matching storyboards."_
## Installation
```bash
npm install -g bailian-cli
npx skills add modelstudioai/cli --all -g
**Agent install (recommended)**
Send the following to your Agent — it will detect your environment, then install and verify the CLI for you:
```text
Please read https://bailian.aliyun.com/cli/install.md and install the Aliyun Model Studio CLI for me
```
> Requires Node.js >= 22.12.
**Install with NPM**
```bash
npm install -g bailian-cli
bl skill init
```
> Requires Node.js >= 18.17.
**Install on macOS/Linux**
```bash
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
```
> No Node.js required. The installer automatically installs Bailian Skills.
**Install on Windows**
```powershell
irm https://bailian.aliyun.com/cli/install.ps1 | iex
```
> No Node.js required. The installer automatically installs Bailian Skills.
## Quick Start
```bash
# Authenticate, recommended
bl auth login --console
Once installed, just describe your task to your AI Agent — no need to assemble commands by hand.
# Or authenticate with an API key
bl auth login --api-key sk-xxxxx
# Chat with Qwen
bl text chat --message "What is DashScope?"
# Multimodal chat (text + image + audio + video)
bl omni --message "Describe this image" --image ./photo.jpg
# Generate an image
bl image generate --prompt "A cat in a spacesuit" --out-dir ./images/
# Generate a video from local image
bl video generate --image ./cat.png --prompt "Make the cat move" --download cat.mp4
# Model recommendation — find the best model for your use case
bl advisor recommend --message "I need a visual-understanding chatbot"
# Compare specific models
bl advisor recommend --message "qwen-max vs deepseek-v3 for code generation"
# Browser login (required for console capability commands)
bl auth login --console
# Fine-tune & deploy — a one-shot train-to-serve workflow
bl dataset upload --file ./train.jsonl # Upload a .jsonl dataset (validated first)
bl finetune create --model qwen3-8b --datasets ./train.jsonl --training-type sft-lora # Local paths auto-upload
bl finetune watch --job-id ft-xxx --output json # Non-blocking status probe (exit 0/1/3 = done/failed/running)
bl finetune capability --model qwen3-8b # Which training types a model supports
bl deploy create --model qwen3-8b --name my-svc --plan mu # Deploy the trained model as an endpoint
# Browse apps / free-tier quota / usage statistics / workspaces
bl app list
bl usage free # Free-tier quota across models (add --model/--expiring/--sort)
bl usage stats --workspace-id <id> # Model usage statistics (add --model for per-model)
bl workspace list # List all workspaces
# Rate limit management (list / check / request / history)
bl quota list # View RPM/TPM limits (add --model to filter)
bl quota check # Current usage vs rate limits (add --model/--period)
bl quota request --model qwen3.6-plus --tpm 6000000 # Request a temporary TPM increase
bl quota history # View quota-change history
# Token Plan team management (requires AK/SK, see auth below)
bl token-plan list-seats # View subscription seat details
bl token-plan add-member --account-name dev --org-id org_xxx
bl token-plan assign-seats --workspace-id ws_xxx --seat-type standard --account-id acc_xxx
bl token-plan create-key --account-id acc_xxx --workspace-id ws_xxx
```
| Scenario | What to say to your Agent |
| ------------------------ | --------------------------------------------------------------------------------- |
| Managed Agent | "Create a Managed Agent that can generate short-film storyboards and videos." |
| Image & video generation | "Generate an image of a cat in a spacesuit on Mars, then turn it into a video." |
| Usage & quota | "Show my recent model usage, free-tier quota, and rate limits." |
| Model selection | "Recommend a model for image understanding and customer support." |
| About Bailian CLI | "Tell me what Bailian CLI can do for me, and suggest how to use it for my needs." |
> More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)
## Authentication
### DashScope API Key
### API Key
Required for most commands. Get your key from the [DashScope Console](https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key).
```bash
# Option 1: Environment variable
export DASHSCOPE_API_KEY=sk-xxxxx
# Option 2: Login command (persisted to ~/.bailian/config.json)
bl auth login --api-key sk-xxxxx
```
# Option 3: Per-command flag
bl text chat --api-key sk-xxxxx --message "Hello"
Get or copy your Token Plan API key from the [Token Plan subscription overview](https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview).
```bash
bl auth login --config token-plan --api-key sk-sp-xxxxx
```
### Console Login (OAuth)
Required for console capability commands (`app list`, `usage free`, `usage stats`, `workspace list`, `quota list/request/check/history`). Opens the Bailian console in your browser to sign in.
Required for console capability commands (model list, app list, MCP list, workspace, usage queries, rate-limit increases, direct console calls). Opens the Bailian console in your browser to sign in.
```bash
bl auth login --console
```
### Alibaba Cloud AK/SK (Knowledge Base & Token Plan)
### Alibaba Cloud OpenAPI AK/SK
Required for `knowledge retrieve` and the `token-plan` command group. Get your AccessKey from [RAM Console](https://ram.console.aliyun.com/manage/ak).
Token Plan seat and member management requires an Alibaba Cloud AccessKey. Get yours from the [RAM Console](https://ram.console.aliyun.com/manage/ak).
> Recommended: create a RAM sub-account with minimum privileges instead of using the root account's AK/SK.
```bash
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
export BAILIAN_WORKSPACE_ID=ws-...
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
```
## Configuration
@@ -183,17 +161,34 @@ export BAILIAN_WORKSPACE_ID=ws-...
# View current config
bl config show
# Set defaults
bl config set --key base_url --value https://dashscope-us.aliyuncs.com
bl config set --key default_text_model --value qwen-turbo
bl config set --key timeout --value 600
# List all config profiles
bl config list
# Self-update to latest version
bl update
# Switch config profile
bl config use --name token-plan
# Switch the CLI interface to Chinese
bl config set --key language --value zh-CN
```
Config file location: `~/.bailian/config.json`
## Update
```bash
bl update
```
Upgrades the CLI to the latest version and refreshes the installed Agent Skills. Release notes for every version live in [CHANGELOG.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.md).
## Contributing
Bug reports, feature requests, and PRs are welcome. See [CONTRIBUTING.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.md) for developer setup, repo layout, and the workflow for adding or changing commands.
Scan the QR code to join the Aliyun Model Studio CLI DingTalk user group for usage help, troubleshooting, bug reports, and tips from other users.
<img src="https://img.alicdn.com/imgextra/i3/O1CN015uuhYGb6j0L12xJZ_!!6000000006304-2-tps-516-485.png" alt="Aliyun Model Studio CLI DingTalk user group" width="240" />
## Links
| Resource | URL |
@@ -203,12 +198,5 @@ Config file location: `~/.bailian/config.json`
| Qwen Model List | https://help.aliyun.com/zh/model-studio/getting-started/models |
| Aliyun Model Studio Console | https://bailian.console.aliyun.com/?source_channel=cli_github |
| Get API Key | https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key |
| Get Token Plan API Key | https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview |
| Get AccessKey | https://ram.console.aliyun.com/manage/ak |
## Changelog
Release notes for every version live in [CHANGELOG.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.md).
## Contributing
Bug reports, feature requests, and PRs are welcome. See [CONTRIBUTING.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.md) for developer setup, repo layout, and the workflow for adding or changing commands.
+102 -113
View File
@@ -5,7 +5,7 @@
**阿里云百炼 (DashScope) AI 平台命令行工具**
[![npm version](https://img.shields.io/npm/v/bailian-cli?color=0969da&label=npm)](https://www.npmjs.com/package/bailian-cli)
[![Node.js](https://img.shields.io/badge/node-%3E%3D22.12-brightgreen)](https://nodejs.org)
[![Node.js](https://img.shields.io/badge/node-%3E%3D18.17-brightgreen)](https://nodejs.org)
[![TypeScript](https://img.shields.io/badge/TypeScript-strict-3178c6)](https://www.typescriptlang.org)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE)
@@ -22,27 +22,16 @@ _专为 AI Agent 打造每个命令均可作为结构化工具调用。_
## 功能特性
让您的 AI Agent 开箱即具备以下能力,并可在复杂任务中自动组合调用:
- **模型生成** — 文本、图像、视频、语音全模态生成,支持编辑与参考生成
- **素材理解** — 图像、文档、音频、长视频的解析与问答
- **应用编排** — 调用百炼已发布的 Managed Agent、智能体和工作流接入知识库、记忆库、联网搜索与 MCP 工具
- **模型训推** — 数据集校验上传、模型精调、专属模型部署上线
- **账号运维** — 授权登录、界面化配置、模型市场、用量与额度、限流提额、团队席位管理
- **套餐接入** — 支持 Token Plan 等订阅计划一键接到 CLI 和常见 Coding Agent
- **文本对话** — Qwen3.7-maxAgentic coding、前端编程、Vibe coding 等能力显著增强
- **全模态对话** — 文本 + 图像 + 音频 + 视频全模态支持
- **图像生成与编辑** — Qwen-Image 2.0:专业文字渲染、真实质感、强语义遵循、多图合成
- **视频生成与编辑** — happyhorse-1.1 系列,支持文生 / 图生 / 参考生(最多 9 张图参考)/ 自然语言视频编辑
- **语音合成与识别** — CosyVoice 实时流式合成5-20s 样本即可克隆FunAudio-ASR 覆盖 30 种语种,含汉语七大方言与 20+ 口音官话
- **图像与视频理解** — Qwen-VL长视频解析、复杂图表与文档识别、视觉推理、多语种 OCR
> **注意:** 应用编排、模型训推、账号运维和套餐接入目前仅支持中国站aliyun.com账号暂不支持国际站 / 全球站账号。
> **注意:** 以下功能目前仅对中国站aliyun.com账号开放国际站 / 全球站账号暂不支持。
- **知识库与记忆库** — 多模态 RAG 检索 + 跨会话记忆,提供个性化连贯对话体验
- **应用调用** — 调用已发布在阿里云百炼平台上的智能体与工作流应用
- **MCP 集成** — 统一调度百炼 MCP 服务:列出服务、查看工具、直接在终端调用任意工具
- **联网搜索** — 实时互联网信息检索,提升回答准确性及时效性
- **模型推荐** — 描述你的场景,智能推荐最适合的模型;支持限定范围搜索、模型对比和替代发现
- **微调与部署** — 上传数据集、创建 SFT/LoRA/DPO/CPT 调优任务(`finetune create`)、非阻塞探测任务状态(`finetune watch`)、按模型查训练能力(`finetune capability`),并把训练好的模型部署为推理服务(`deploy create`
- **控制台能力** — 浏览百炼应用(`app list`),查询模型免费额度(`usage free`),查看模型用量统计(`usage stats`),管理业务空间(`workspace list`),管理限流与提额(`quota list/request/check/history`
- **本地文件自动上传** — 所有 URL 参数同时支持本地路径,免费临时存储 48 小时
## 示例:一句话生成一部电影短片
## 示例 1一句话生成一部电影短片
<p align="center">
<a href="https://cloud.video.taobao.com/vod/dS2F4huqbw5Nfe5L3wwb3grz2q2DNYD3retq8dU-iHo.mp4">
@@ -52,127 +41,117 @@ _专为 AI Agent 打造每个命令均可作为结构化工具调用。_
<p align="center"><i>👆 点击封面播放完整 2 分钟演示</i></p>
一部完整的 **2 分钟、16:9 电影感短片** —— 由一句自然语言端到端生成,**全程零手动剪辑**。这个示例展示了 AI Agent 如何把三个基础能力编排成一条多步创作流水线:
一部完整的 **2 分钟、16:9 电影感短片** —— 由一句自然语言端到端生成**全程零手动剪辑**。这个示例展示了 AI Agent 如何把三个基础能力编排成一条多步创作流水线
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** —— Agentic coding 模型,解析用户意图、驱动整个工作流
- **[阿里云百炼 CLI](https://github.com/modelstudioai/cli/)** —— 调用 **HappyHorse 1.1**,百炼的文生/图生/参考生视频模型
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** —— Agentic coding 模型解析用户意图、驱动整个工作流
- **[阿里云百炼 CLI](https://github.com/modelstudioai/cli/)** —— 调用 **HappyHorse 1.1**百炼的文生/图生/参考生视频模型
- **[spark-video Skill](https://github.com/JohnKeating1997/spark-video)** —— 负责场景拆分、分镜设计、镜头连贯性和最终拼接
### 唯一的提示词
> _"帮我生成一段日系影视风格,高中女生的青涩初恋故事,剧情高甜,让人看了想谈恋爱,2 分钟左右的视频,尺寸是 16:9"_
> _帮我生成一段日系影视风格高中女生的青涩初恋故事剧情高甜让人看了想谈恋爱2 分钟左右的视频尺寸是 16:9。”_
### 工作流程
## 示例 2一句话构建短片导演 Managed Agent
1. **Qwen Code** 解析需求、规划叙事节奏,决定要调用哪些工具。
2. **spark-video Skill** 把故事拆成镜头、为每个镜头写提示词,并保证视觉连贯性(角色、光线、色调、镜头语言)。
3. **`bl video generate`** 把每个镜头并行下发给 **HappyHorse 1.1**
4. Skill 把所有片段拼成最终的 16:9 / 约 2 分钟成片。
<p align="center">
<a href="https://cloud.video.taobao.com/vod/2v0GYLbJSQb2saj4iopTJDW3iRIHsintYlK-wTKbhqE.mp4">
<img src="https://img.alicdn.com/imgextra/i4/6000000001674/O1CN01xhzixhxltbH3LxWu_!!6000000001674-0-tbvideo.jpg" alt="点击播放演示视频" width="720" />
</a>
</p>
没有时间线拖拽,没有逐帧剪辑。一句话 → 一部短片。
<p align="center"><i>👆 点击封面播放完整演示</i></p>
一句话构建一个可复用的云端短片导演,用于分镜设计、分镜图生成和视频创作:
- **[Qwen Code](https://github.com/QwenLM/qwen-code)** —— 理解需求并生成 Agent 配置
- **[阿里云百炼 CLI](https://github.com/modelstudioai/cli/)** —— 校验配置、预览变更并完成部署
- **[Managed Agent](https://bailian.console.aliyun.com/cn-beijing/?tab=managed-agents#/managed-agents/quick-start)** —— 在云端运行导演角色及其 Skill 和工具
### 唯一的提示词
> _“帮我构建一个 managedagent 应用能够实现短片拍摄导演专家生成视频然后也能进行设计对应的分镜图。”_
## 安装
```bash
npm install -g bailian-cli
npx skills add modelstudioai/cli --all -g
**Agent 安装(推荐)**
把下面这句话发给你的 Agent它会自行判断环境并完成安装与校验
```text
请阅读https://bailian.aliyun.com/cli/install.md 并按照说明为我安装阿里云百炼 CLI
```
> 需要预先安装 Node.js >= 22.12。
**NPM 安装**
```bash
npm install -g bailian-cli
bl skill init
```
> 需要预先安装 Node.js >= 18.17。
**macOS/Linux 安装**
```bash
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
```
> 无需预先安装 Node.js安装脚本会自动安装 Bailian Skills。
**Windows 安装**
```powershell
irm https://bailian.aliyun.com/cli/install.ps1 | iex
```
> 无需预先安装 Node.js安装脚本会自动安装 Bailian Skills。
## 快速开始
```bash
# 认证(推荐浏览器登录)
bl auth login --console
安装完成后,直接在 AI Agent 中描述你的任务,无需手动拼接命令。
# 或使用 API key 认证
bl auth login --api-key sk-xxxxx
# 和通义千问对话
bl text chat --message "你好,介绍一下阿里云百炼平台"
# 多模态对话(文本 + 图片 + 音频 + 视频)
bl omni --message "描述这张图片" --image ./photo.jpg
# 生成图片
bl image generate --prompt "一只穿太空服的猫在火星上" --out-dir ./images/
# 图生视频(本地文件自动上传)
bl video generate --image ./cat.png --prompt "让画面中的猫动起来" --download cat.mp4
# 模型推荐 — 根据场景推荐最适合的模型
bl advisor recommend --message "我要做一个能理解图片的客服机器人"
# 对比特定模型
bl advisor recommend --message "qwen-max 和 deepseek-v3 哪个更适合做代码生成"
# 浏览器登录(控制台能力相关命令需要)
bl auth login --console
# 微调与部署 — 从训练到服务的一站式流程
bl dataset upload --file ./train.jsonl # 上传 .jsonl 数据集(先校验)
bl finetune create --model qwen3-8b --datasets ./train.jsonl --training-type sft-lora # 本地路径自动上传
bl finetune watch --job-id ft-xxx --output json # 非阻塞状态探测(退出码 0/1/3 = 成功/失败/进行中)
bl finetune capability --model qwen3-8b # 查询模型支持哪些训练方式
bl deploy create --model qwen3-8b --name my-svc --plan mu # 把训练好的模型部署为推理服务
# 浏览应用 / 免费额度 / 用量统计 / 业务空间
bl app list
bl usage free # 各模型免费额度(可加 --model/--expiring/--sort
bl usage stats --workspace-id <id> # 模型用量统计(加 --model 查单模型)
bl workspace list # 列出所有业务空间
# 限流管理与提额list / check / request / history
bl quota list # 查看 RPM/TPM 限额(加 --model 过滤)
bl quota check # 当前用量 vs 限流阈值(加 --model/--period
bl quota request --model qwen3.6-plus --tpm 6000000 # 申请临时 TPM 提额
bl quota history # 查看提额历史记录
# Token Plan 团队版管理(需 AK/SK见下方认证说明
bl token-plan list-seats # 查看订阅席位明细
bl token-plan add-member --account-name dev --org-id org_xxx
bl token-plan assign-seats --workspace-id ws_xxx --seat-type standard --account-id acc_xxx
bl token-plan create-key --account-id acc_xxx --workspace-id ws_xxx
```
| 场景 | 可以这样对 Agent 说 |
| ---------------- | ----------------------------------------------------------------------- |
| Managed Agent | “帮我创建一个能够生成短片分镜和视频的 Managed Agent。” |
| 图片和视频生成 | “生成一张穿着太空服的猫站在火星上的图片,再把它制作成一段视频。” |
| 用量与额度 | “查看最近的模型用量、免费额度和限流情况。” |
| 模型选型 | “推荐一个适合图片理解和智能客服的模型。” |
| 了解 Bailian CLI | “介绍一下 Bailian CLI 能帮我完成哪些任务,并根据我的需求推荐使用方式。” |
> 更多案例与使用场景:[阿里云百炼 CLI 官方主页](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)
## 认证方式
### DashScope API Key
### API Key
大部分命令均需要 API Key。前往 [DashScope 控制台](https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key) 获取。
```bash
# 方式一:环境变量
export DASHSCOPE_API_KEY=sk-xxxxx
# 方式二:登录命令(持久化到 ~/.bailian/config.json
bl auth login --api-key sk-xxxxx
```
# 方式三:命令行参数
bl text chat --api-key sk-xxxxx --message "你好"
Token Plan 的 API Key 前往 [Token Plan 订阅详情](https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview) 获取或复制。
```bash
bl auth login --config token-plan --api-key sk-sp-xxxxx
```
### 控制台登录OAuth
控制台能力命令(`app list``usage free``usage stats``workspace list``quota list/request/check/history`)需要使用此登录方式。打开浏览器跳转百炼控制台完成登录。
控制台能力命令(模型列表、应用列表、MCP 列表、工作空间、用量查询、限流提额、控制台直调)需要使用此登录方式。打开浏览器跳转百炼控制台完成登录。
```bash
bl auth login --console
```
### 阿里云 AK/SK知识库检索与 Token Plan
### 阿里云 OpenAPI AK/SK
`knowledge retrieve``token-plan` 命令组需要阿里云 AccessKey。前往 [RAM 控制台](https://ram.console.aliyun.com/manage/ak) 获取。
Token Plan 的席位与成员管理需要阿里云 AccessKey。前往 [RAM 控制台](https://ram.console.aliyun.com/manage/ak) 获取。
> 建议:创建 RAM 子账号并授予最小权限,避免使用主账号 AK/SK。
```bash
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
export BAILIAN_WORKSPACE_ID=ws-...
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
```
## 配置
@@ -181,17 +160,34 @@ export BAILIAN_WORKSPACE_ID=ws-...
# 查看当前配置
bl config show
# 设置默认值
bl config set --key base_url --value https://dashscope-us.aliyuncs.com
bl config set --key default_text_model --value qwen-turbo
bl config set --key timeout --value 600
# 查看全部配置档
bl config list
# 自更新到最新版本
bl update
# 切换配置档
bl config use --name token-plan
# 将 CLI 界面切换为中文
bl config set --key language --value zh-CN
```
配置文件位置:`~/.bailian/config.json`
## 更新
```bash
bl update
```
升级 CLI 至最新版本,并同步更新已安装的 Agent Skills。每个版本的变更详情记录在 [CHANGELOG.zh.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.zh.md)。
## 参与贡献
欢迎提 Issue、Feature Request 和 PR。开发环境搭建、仓库结构、新增/修改命令的工作流请见 [CONTRIBUTING.zh.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.zh.md)。
欢迎扫码加入阿里云百炼 CLI 钉钉用户交流群获取使用答疑、问题排查、Bug 反馈和使用经验交流支持。
<img src="https://img.alicdn.com/imgextra/i3/O1CN015uuhYGb6j0L12xJZ_!!6000000006304-2-tps-516-485.png" alt="阿里云百炼 CLI 钉钉用户交流群" width="240" />
## 相关链接
| 资源 | 地址 |
@@ -201,12 +197,5 @@ bl update
| 通义千问模型列表 | https://help.aliyun.com/zh/model-studio/getting-started/models |
| 阿里云百炼控制台 | https://bailian.console.aliyun.com/?source_channel=cli_github |
| 获取 API Key | https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key |
| 获取 Token Plan API Key | https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview |
| 获取 AccessKey | https://ram.console.aliyun.com/manage/ak |
## 更新日志
每个版本的变更详情记录在 [CHANGELOG.zh.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.zh.md)。
## 参与贡献
欢迎提 Issue、Feature Request 和 PR。开发环境搭建、仓库结构、新增/修改命令的工作流请见 [CONTRIBUTING.zh.md](https://github.com/modelstudioai/cli/blob/main/CONTRIBUTING.zh.md)。
+160
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@@ -0,0 +1,160 @@
# 迭代一设计 · doc 组命令
> 命令:`doc upload` / `doc list` / `doc status` / `doc delete` / `doc tag` / `doc import-oss`
> 公共约定见 [README.md](README.md)。
## doc upload — 上传本地文件入库(编排命令)
**说明**:本迭代最复杂命令。把"本地文件 → 数据中心 →(可选)导入知识库"封装为一条命令替代构建期最高频的控制台操作S2.2 痛点:高)。对标竞品 add-file。
**编排四步**
| 步 | API | 输入 | 输出 |
| ---------------------------------- | -------------------------------------------------- | ----------------------------------------------------------------------------- | -------------------------------------- |
| 1 申请租约 | `POST /api/v1/connector/dash/applyFileUploadLease` | `category`(类目ID) + `fileName` + `sizeBytes`(字符串!) + `contentMd5`(Base64) | `leaseId` + `param.url/method/headers` |
| 2 OSS 上传 | `PUT {param.url}` | 文件二进制 + `param.headers`(含 `x-bailian-extra``Content-Type` | HTTP 200 |
| 3 注册文件 | `POST /api/v1/connector/dash/addFile` | `leaseId` + `category` + `parser: "AUTO_SELECT"` + `tags?` | `fileId` |
| 4 导入(可选,传 `--index-id` 时) | `POST /api/v1/indices/rag/index/job/create` | `indexId` + `dataSource: { sourceType: "DATA_CENTER_FILE", fileIds }` | `ingestionId` |
坑位(实现注释必须标注):
- `sizeBytes` 必须字符串;`contentMd5` = `crypto.createHash("md5").update(buf).digest("base64")`
- 租约/注册的类目参数名是 `category`,不是 `categoryId`
- 第 4 步 body 是嵌套 `dataSource: { sourceType, fileIds }`(实测;公开文档的平铺 `documentIds` 会报 `Index.InvalidParameter`
- **第 4 步必须显式传 `sourceType`不传会导入整个数据中心API 文档明示的默认行为)**
- 步骤 2 走 OSS 域名不走 DashScope 网关,用原生 fetch 而非 ctx.client无 Bearer 头);失败归类 NETWORK
**Flags**
| flag | 类型 | 必填 | 说明 |
| -------------------------------------------------- | ------ | ---- | --------------------------------------------------------------------------------------------------------------------- |
| `--file <path>` | array | 是 | 本地文件路径,可重复;扩展名与大小按产品支持范围预校验(见下方格式白名单) |
| `--index-id <id>` | string | 否 | 注册后立即导入该知识库(触发第 4 步,多文件合并为一个 job |
| `--category-id <id>` | string | 否 | 目标类目缺省自动解析默认类目listCategory 取 `isDefault: true`),解析失败报 GENERAL + hint 显式传 `--category-id` |
| `--tag <text>` | array | 否 | addFile tags可重复 |
| `--wait` / `--poll-interval <s>` / `--timeout <s>` | — | 否 | 与 `--index-id` 联用,轮询 job status 至终态 |
**validate**`--wait``--index-id` → USAGE文件不存在/不可读 → GENERAL + errno hint沿用错误边界规范
**格式白名单与大小预校验**(依据 data/documents.md「支持的格式」读文件前拦截避免白传 OSS
| 类型 | 扩展名 | 硬限(超限 USAGE |
| ------ | -------------------------- | ----------------------------------------------------- |
| 文档 | .doc .docx .ppt .pptx .pdf | 150 MB |
| 表格 | .xls .xlsx | 10 MB产品为“建议值”超限降级为 stderr 警告不拦截) |
| 图片 | .png .jpg .jpeg .bmp .gif | 20 MB尺寸约束不做客户端校验留服务端 |
| 纯文本 | .md .txt .html | 10 MB同表格警告不拦截 |
- 扩展名不在白名单 → USAGE错误信息列出支持格式白名单常量独立导出便于后续随产品更新
- 开放问题create-kb.md 提及 .csv 但 documents.md 格式表未列——文档口径不一致,实现前向产品确认;确认前 .csv 暂入白名单(服务端拒绝会透传)
**输出**
- text每文件一行 `<fileName> <fileId> registered`;有导入时追加 `job: <ingestionId>`--wait 结束追加终态
- json`{ files: [{path, fileId}], index_id?, ingestion_id?, final_status? }`(编排命令无单一响应可透传,输出自定义稳定结构)
- quiet仅 fileId 每行一个
**实现方案**
- 文件 `doc-upload.ts`;多文件串行执行 1-3 步(首版不并发,避免 OSS 限流复杂化),全部注册成功后合并执行第 4 步
- 部分失败语义:任一文件步骤 1-3 失败即中止并报错,已成功的 fileId 列入错误 hint幂等重传代价低
- 默认类目解析结果进程内缓存(多文件只查一次)
- dry-run不读文件内容size/md5 以占位符表示),输出四步编排计划 `{ steps: [{step, endpoint, request}] }`
**测试方案**
- help / 缺 `--file` exitCode 2 / `--wait``--index-id` exitCode 2
- 文件不存在 → 非零退出 + ENOENT hint`.zip` 扩展名 → USAGE 列出支持格式
- dry-run断言 steps 长度(带/不带 --index-id 为 4/3、lease 请求 `sizeBytes` 为字符串类型、job 请求含 `sourceType: "DATA_CENTER_FILE"`
- live上传 1KB 临时 md 文件 → 断言 fileId 前缀 `file_` → afterAll doc delete + 数据中心 deleteFile 清理
## doc list — 查询知识库文档列表
**说明**:列出库内文档及解析/索引状态,含 FAILED 发现S2.3 / S5.2)。
**API**`GET /api/v1/indices/rag/index/files`query string`index_id` + `page_num`(注意本接口是 page_num+ `page_size`(默认 10最大 100
**Flags**`--index-id` 必填;`--page-number` / `--page-size`
**输出**
- text每行 `doc_id status doc_name doc_type size`status=FAILED 行红色高亮TTY尾行 `total: N`
- json 透传quiet 仅 doc_id
**实现/测试**:单 API 直映射(`doc-list.ts`dry-run 断言 query 参数名为 `page_num`live 断言 rows 结构与 doc_id 前缀。
## doc status — 查询导入任务状态
**说明**:查导入任务进度,`--wait` 阻塞至终态供脚本串行S2.3 痛点:高L3 验收FAILED 时非零 exit code
**API**`GET /api/v1/indices/rag/index_job/status`query string`index_id` + `job_id`**双必填,仅传其一服务端返回 SystemError客户端前置双校验拦截**+ 分页参数。
**Flags**
| flag | 必填 | 说明 |
| -------------------------------------------------------------------- | ---- | --------------------------------------------------------------------------------------- |
| `--index-id <id>` | 是 | 知识库 ID |
| `--job-id <id>` | 是 | 导入任务 IDkb create / doc upload 返回的 ingestionId也见 doc list 的 ingestion_id |
| `--page-number` / `--page-size` | 否 | 任务含大量文档时分页 |
| `--wait` / `--poll-interval <s>`(默认 5) / `--timeout <s>`(默认 600) | 否 | 轮询至终态 |
**行为**
- 终态 FINISH → exit 0FAILED → `BailianError(GENERAL)` 透传服务端 message含文档级失败明细摘要exit 1
- `--wait` 超时 → TIMEOUT(5)
- 已知行为:库无进行中任务时接口可能返回 SystemError——hint 引导 "check ingestion_id via doc list"
**输出**text 顶部任务总状态 + 文档级状态列表FAILED 高亮json 透传。
**测试方案**help / 缺任一必填(两条用例)/ dry-run 断言 query 含两个 id / live配合 upload 用例拿真实 job 轮询到 FINISH`--wait --timeout 1` 对慢任务断言 exitCode 5若不稳定则仅静态覆盖超时路径live 标记 skip 原因)。
## doc delete — 删除文档【危险操作】
**说明**从知识库删除文档及其全部切片S5.1 内容更新循环)。
**API**`POST /api/v1/indices/rag/index/delete_file`body `{ index_id, doc_ids }`snake_case。响应 `data.deleted[]` 为实际删除列表。
**Flags**`--index-id` 必填;`--doc-id` array 必填(可重复);`--yes`
**实现方案**`doc-delete.ts`;确认摘要含 index_id + doc_id 列表≤5 个全列,超出显示前 5 + 总数);输出以 `data.deleted` 为准(与入参数量不一致时 text 模式警告差异)。
**测试方案**help / 缺参×2 / dry-run 断言 `doc_ids` 数组 / 非 TTY 无 `--yes` exitCode 2 / live 配合 upload 清理链。
## doc tag — 批量更新文档标签
**说明**批量打标支撑标签过滤检索S2.4)。
**API**`POST /api/v1/connector/dash/batchUpdateFileTag``fileInfos`1-20 项,每项 `fileId` + `tags`,单标签 ≤32 字符、单文件 ≤100 个、总长 ≤700+ `updateMode`OVERWRITE/APPEND
**Flags**
| flag | 必填 | 说明 |
| --------------- | ---- | ------------------------------------------------------------------------- |
| `--doc-id <id>` | 是 | 可重复1-20 个(客户端预校验),映射 fileInfos[].fileId |
| `--tag <text>` | 是 | 可重复,应用到所有 `--doc-id`(首版同一组标签批量打;异构标签用多次调用) |
| `--mode <m>` | 否 | choices: `overwrite`/`append`,默认 `append`(追加比覆盖安全,作为缺省) |
**实现/测试**`doc-tag.ts` 单 API 直映射客户端预校验标签长度约束USAGE 前置拦截dry-run 断言 `updateMode: "APPEND"` 大写映射与 fileInfos 结构live 打标后 listFile/describeFile 验证回读。
## doc import-oss — 从授权 OSS 批量导入
**说明**:从已 SLR 授权的 OSS Bucket 批量导入数据中心(大客户批量场景)。
**API**`POST /api/v1/connector/dash/addFilesFromAuthorizedOss`。必填 `categoryId/categoryType/ossBucket/ossRegionId/fileDetails`1-10 项,每项 `fileName+ossKey`)。返回 `data.fileIds`
**Flags**
| flag | 必填 | 说明 |
| -------------------- | ---- | -------------------------------------------- |
| `--bucket <name>` | 是 | 映射 ossBucket |
| `--region <id>` | 是 | 映射 ossRegionId如 cn-beijing |
| `--oss-key <key>` | 是 | 可重复1-10 个fileName 取 key 的 basename |
| `--category-id <id>` | 否 | 缺省走默认类目解析(复用 upload 的解析函数) |
| `--tag <text>` | 否 | 可重复≤10 |
| `--overwrite` | 否 | switch映射 overWriteFileByOssKey |
固定值:`categoryType: "UNSTRUCTURED"``parser` 不暴露(默认 AUTO_SELECT审慎原则——DASH_QWEN_VL_PARSER 等需配 parserConfig使用方式未验证
**错误边界**SLR 未授权的服务端权限错误原样透传hint 附 RAM 控制台确认 `AliyunServiceRoleForBailian` 的指引(该指引来自 API 文档 Note属可权威解释范围
**实现/测试**`doc-import-oss.ts` 单 API 直映射dry-run 断言 fileDetails 结构与 fileName 派生逻辑live 依赖 OSS 授权环境gating 追加 `BAILIAN_E2E_OSS_BUCKET` 环境变量,无则 skip。
+12 -8
View File
@@ -1,6 +1,6 @@
{
"name": "bailian-cli",
"version": "1.5.0",
"version": "1.17.0",
"description": "CLI for Aliyun Model Studio (DashScope) AI Platform.",
"keywords": [
"agent",
@@ -25,7 +25,8 @@
},
"files": [
"dist",
"README.zh.md"
"README.zh.md",
"postinstall.js"
],
"type": "module",
"exports": {
@@ -40,17 +41,19 @@
"registry": "https://registry.npmjs.org/"
},
"scripts": {
"generate:reference": "node --experimental-strip-types ../../tools/generate-reference.ts && sh -c 'cd ../.. && vp check --fix skills/bailian-cli/reference'",
"sync:skill-version": "node --experimental-strip-types ../../tools/sync-skill-metadata.ts",
"generate:reference": "tsx ../../tools/generate-reference.ts && sh -c 'cd ../.. && vp check --fix skills/bailian-cli/reference skills/bailian-gen/reference skills/bailian-finetune/reference skills/bailian-managed-agent/reference'",
"sync:skill-version": "tsx ../../tools/sync-skill-metadata.ts",
"build": "vp pack",
"dev": "node src/main.ts",
"dev": "tsx src/main.ts",
"test": "vp test",
"check": "vp check"
"check": "vp check",
"postinstall": "node postinstall.js"
},
"dependencies": {
"bailian-cli-commands": "workspace:*",
"bailian-cli-core": "workspace:*",
"bailian-cli-runtime": "workspace:*"
"bailian-cli-runtime": "workspace:*",
"tar-stream": "catalog:"
},
"devDependencies": {
"@clack/prompts": "^0.7.0",
@@ -59,12 +62,13 @@
"ajv": "catalog:",
"boxen": "catalog:",
"chalk": "catalog:",
"e2e": "workspace:*",
"typescript": "^6.0.2",
"undici": "catalog:",
"vite-plus": "0.1.22",
"yaml": "catalog:"
},
"engines": {
"node": ">=22.12.0"
"node": ">=18.17.0"
}
}
+253
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@@ -0,0 +1,253 @@
/**
* postinstall.js — Wiki data sync (layer 1: triggered by npm install)
*
* Runs automatically after npm/pnpm installs bailian-cli: unconditionally downloads the full Wiki data
* package and overwrites the local directory, ensuring data is in place the first time the user runs
* `bl advisor recommend`.
*
* Flow (unified skill publishing protocol: skills/index.json + one content-addressed object per skill):
* 1. Download skills/index.json from public-read OSS, get the bailian-docs-llm-wiki entry
* 2. Download skills/bailian-docs-llm-wiki/<entry.object> (sha256-<hex>.tar.br, brotli q6, ~2.3MB);
* legacy fallback to skill.tar.br when the entry has no valid object field
* 3. Node built-in brotli decompress + tar-stream extract (per-entry path safety check) to same-volume temp dir,
* then recompute contentHash over the extracted files and reject on mismatch (symmetric with core installer)
* 4. renameSync atomic swap into ~/.bailian/skills/bailian-docs-llm-wiki/
* 5. Write ~/.bailian/wiki-sync-state.json
* 6. Write ~/.bailian/skills/skill-lock.json record (same ledger as bl skill)
*
* Design constraints:
* - Unconditional overwrite: every install fully replaces, no version comparison
* - Silent failure: any step failure → console.warn → process.exit(0), never blocks install
* - Standalone implementation: does not import bailian-cli-core, avoiding ESM path issues after bundling
* - Depends on Node built-in modules + tar-stream (consistent with sync.ts / publisher skills-publish.mjs)
*/
import { createHash } from "node:crypto";
import {
createWriteStream,
existsSync,
mkdirSync,
readdirSync,
readFileSync,
renameSync,
rmSync,
writeFileSync,
} from "node:fs";
import { homedir } from "node:os";
import { dirname, join } from "node:path";
import { Readable } from "node:stream";
import { pipeline } from "node:stream/promises";
import { createBrotliDecompress } from "node:zlib";
import tar from "tar-stream";
const REGISTRY_BASE_URL = "https://bailian-wiki.oss-cn-hangzhou.aliyuncs.com/skills";
const WIKI_SKILL_NAME = "bailian-docs-llm-wiki";
const CONFIG_DIR_NAME = ".bailian";
const SKILL_DIR_NAME = "skills/bailian-docs-llm-wiki";
const STATE_FILE_NAME = "wiki-sync-state.json";
const INDEX_KEY = "index.json";
/** Legacy fixed asset key (entries without a valid content-addressed object field) */
const LEGACY_ASSET_NAME = "skill.tar.br";
/** Same strict shape check as core registry.ts: only a valid object name may enter the URL */
const OBJECT_FILE_RE = /^sha256-[0-9a-f]{64}\.tar\.br$/;
const INDEX_TIMEOUT_MS = 3000;
const DOWNLOAD_TIMEOUT_MS = 30000;
function getConfigDir() {
if (process.env.BAILIAN_CONFIG_DIR) return process.env.BAILIAN_CONFIG_DIR;
return join(homedir(), CONFIG_DIR_NAME);
}
function getCatalogDir() {
return join(getConfigDir(), SKILL_DIR_NAME);
}
function getStatePath() {
return join(getConfigDir(), STATE_FILE_NAME);
}
function getSkillLockPath() {
return join(getConfigDir(), "skills", "skill-lock.json");
}
/**
* Record this sync in skill-lock.json (same ledger as bl skill; list shows installed).
* Semantics aligned with upsertSkillLockEntry in core/src/skills/lock.ts: shallow-merge with the existing
* entry, preserving fields like links written by bl skill add; rebuild as empty table if lock is corrupted/unrecognized.
* best-effort: failure does not affect data sync results.
*/
function upsertSkillLock(name, entry) {
try {
let lock = { version: 1, skills: {} };
try {
const parsed = JSON.parse(readFileSync(getSkillLockPath(), "utf-8"));
if (parsed?.version === 1 && parsed.skills && typeof parsed.skills === "object") {
lock = parsed;
}
} catch {
/* absent/corrupted → empty table */
}
lock.skills[name] = { ...lock.skills[name], ...entry };
mkdirSync(dirname(getSkillLockPath()), { recursive: true });
writeFileSync(getSkillLockPath(), JSON.stringify(lock, null, 2) + "\n");
} catch {
/* Bookkeeping failure does not block install; advisor-side sync will backfill */
}
}
async function fetchJson(url, timeoutMs) {
const res = await fetch(url, { signal: AbortSignal.timeout(timeoutMs) });
if (!res.ok) throw new Error(`HTTP ${res.status}`);
return res.json();
}
async function downloadBuffer(url) {
const res = await fetch(url, { signal: AbortSignal.timeout(DOWNLOAD_TIMEOUT_MS) });
if (!res.ok) throw new Error(`HTTP ${res.status}`);
return Buffer.from(await res.arrayBuffer());
}
/** tar 条目路径必须是相对路径且不含 ..,防止 tar-slip 逃逸解包目录 */
function isSafeEntryName(name) {
// Symmetric with core skills/extract.ts: backslashes can escape the extraction
// dir on Windows (path.join expands "\.." segments, leading "\" hits drive root)
if (name.includes("\\") || name.includes("\0")) return false;
if (name.startsWith("/") || /^[a-zA-Z]:[\\/]/.test(name)) return false;
return !name.split("/").includes("..");
}
/** Brotli decompress + tar-stream extract into destDir (symmetric with publisher tar.pack()). */
async function extractTarBr(tarBrBuffer, destDir) {
const extract = tar.extract();
extract.on("entry", (header, stream, next) => {
if (!isSafeEntryName(header.name)) {
// Same semantics as core skills/extract.ts: destroy so the pipeline rejects with this
// error; silence the entry stream to avoid its companion error becoming unhandled
stream.on("error", () => {});
stream.resume();
extract.destroy(new Error(`unsafe tar entry: ${header.name}`));
return;
}
const filePath = join(destDir, header.name);
if (header.type === "directory") {
mkdirSync(filePath, { recursive: true });
stream.resume();
stream.on("end", next);
return;
}
mkdirSync(dirname(filePath), { recursive: true });
const ws = createWriteStream(filePath);
stream.pipe(ws);
ws.on("finish", next);
ws.on("error", next);
});
await pipeline(Readable.from(tarBrBuffer), createBrotliDecompress(), extract);
}
/**
* Recompute the publisher's deterministic content hash over an extracted directory
* (same accumulation as core skills/extract.ts computeDirContentHash): regular files
* sorted by "/"-separated relative path, sha256 over relPath + bytes.
*/
function computeDirContentHash(dir) {
const relPaths = [];
const walk = (sub) => {
for (const dirent of readdirSync(sub ? join(dir, sub) : dir, { withFileTypes: true })) {
const rel = sub ? `${sub}/${dirent.name}` : dirent.name;
if (dirent.isDirectory()) walk(rel);
else if (dirent.isFile()) relPaths.push(rel);
}
};
walk("");
relPaths.sort((left, right) => (left < right ? -1 : left > right ? 1 : 0));
const hash = createHash("sha256");
for (const rel of relPaths) {
hash.update(rel);
hash.update(readFileSync(join(dir, rel)));
}
return `sha256:${hash.digest("hex")}`;
}
/** Atomic swap: tmpDir (same volume) → catalogDir. */
function atomicSwap(tmpDir, catalogDir) {
mkdirSync(dirname(catalogDir), { recursive: true });
const backup = `${catalogDir}.old-${Date.now()}`;
if (existsSync(catalogDir)) renameSync(catalogDir, backup);
try {
renameSync(tmpDir, catalogDir);
} catch (err) {
if (existsSync(backup) && !existsSync(catalogDir)) renameSync(backup, catalogDir);
throw err;
}
if (existsSync(backup)) rmSync(backup, { recursive: true, force: true });
}
async function main() {
// 1. Download skills/index.json and get the wiki entry
const index = await fetchJson(`${REGISTRY_BASE_URL}/${INDEX_KEY}`, INDEX_TIMEOUT_MS);
const entry = index?.skills?.[WIKI_SKILL_NAME];
if (!entry?.contentHash)
throw new Error("no bailian-docs-llm-wiki entry (or contentHash) in index.json");
// 2. Download the skill archive: content-addressed object first, legacy fixed key as fallback
const assetName =
entry.object && OBJECT_FILE_RE.test(entry.object) ? entry.object : LEGACY_ASSET_NAME;
const tarBuf = await downloadBuffer(`${REGISTRY_BASE_URL}/${WIKI_SKILL_NAME}/${assetName}`);
// 3. Extract to same-volume temp dir + integrity check + atomic swap
const catalogDir = getCatalogDir();
const tmpDir = `${catalogDir}.tmp-${process.pid}-${Date.now()}`;
try {
mkdirSync(tmpDir, { recursive: true });
await extractTarBr(tarBuf, tmpDir);
// Symmetric with layer 2 (core installer): reject archive/index fingerprint mismatch
// before touching the canonical dir
if (entry.contentHash.startsWith("sha256:")) {
const actualContentHash = computeDirContentHash(tmpDir);
if (actualContentHash !== entry.contentHash) {
throw new Error(
`content hash mismatch: index says ${entry.contentHash}, archive is ${actualContentHash}`,
);
}
}
atomicSwap(tmpDir, catalogDir);
} catch (err) {
if (existsSync(tmpDir)) rmSync(tmpDir, { recursive: true, force: true });
throw err;
}
// 4. Write state
try {
writeFileSync(
getStatePath(),
JSON.stringify({ lastChecked: Date.now(), contentHash: entry.contentHash }),
);
} catch {
/* state write failure has no impact: first recommend will re-check */
}
// 5. skill-lock.json record: wiki shares the same ledger as bl skill
upsertSkillLock(WIKI_SKILL_NAME, {
contentHash: entry.contentHash,
...(entry.publishedAt ? { publishedAt: entry.publishedAt } : {}),
installedAt: new Date().toISOString(),
sourceType: "oss",
...(entry.description ? { description: entry.description } : {}),
});
process.stdout.write(`bailian-cli: wiki data ready (${entry.publishedAt ?? "latest"})\n`);
}
main().catch((err) => {
// Unconditional pass-through: install-time network/permission issues should not block npm install;
// sync.ts will fall back to syncing on the first `bl advisor recommend`.
const msg = err instanceof Error ? err.message : String(err);
process.stderr.write(
`bailian-cli: wiki data pre-download skipped (${msg}); will sync automatically on first use.\n`,
);
// Force a success exit code so a download failure never fails `npm install`.
// eslint-disable-next-line unicorn/no-process-exit
process.exit(0);
});
+14
View File
@@ -0,0 +1,14 @@
import type { CommandPackPolicy } from "bailian-cli-runtime";
/** Command Packs accepted by the bl product. */
export const commandPackPolicy = {
supported: {
"@ali/bailian-plugin-agent": {
commandPrefixes: ["agent"],
credentialAccess: ["apiKey"],
},
"@ali/bailian-plugin-inner-console-call": {
commandPrefixes: ["inner-console"],
},
},
} as const satisfies CommandPackPolicy;
+180 -8
View File
@@ -1,8 +1,9 @@
import type { Command } from "bailian-cli-core";
import type { AnyCommand } from "bailian-cli-core";
import {
authLogin,
authStatus,
authLogout,
authGenerateAccessToken,
textChat,
textOmni,
imageGenerate,
@@ -15,6 +16,10 @@ import {
visionDescribe,
configShow,
configSet,
configList,
configUse,
configUi,
configAgent,
update,
appCall,
appList,
@@ -26,6 +31,39 @@ import {
memoryProfileCreate,
memoryProfileGet,
knowledgeRetrieve,
knowledgeSearch,
knowledgeChat,
knowledgeKbList,
knowledgeKbInfo,
knowledgeDocList,
knowledgeDocStatus,
knowledgeDocUpload,
knowledgeKbCreate,
knowledgeKbUpdate,
knowledgeKbDelete,
knowledgeDocDelete,
knowledgeDocTag,
knowledgeServiceList,
knowledgeServiceGet,
knowledgeServiceCreate,
knowledgeServiceUpdate,
knowledgeServiceDeploy,
knowledgeServiceDelete,
knowledgeServiceCopy,
knowledgeChunkAdd,
knowledgeChunkList,
knowledgeChunkUpdate,
knowledgeChunkDelete,
knowledgeKbStats,
knowledgeCategoryList,
knowledgeCategoryAdd,
knowledgeCategoryDelete,
knowledgeFileList,
knowledgeFileGet,
knowledgeFileDelete,
knowledgeCollectionCreate,
knowledgeCollectionGet,
knowledgeDocImportOss,
mcpCall,
mcpList,
mcpTools,
@@ -37,20 +75,30 @@ import {
usageFree,
usageFreetier,
usageStats,
usageSummary,
usageTokenPlan,
usageCodingPlan,
pipelineRun,
pipelineValidate,
advisorRecommend,
modelList,
workspaceList,
quotaList,
quotaRequest,
quotaUpdate,
quotaHistory,
quotaCheck,
permissionList,
permissionGrant,
permissionRevoke,
datasetUpload,
datasetList,
datasetGet,
datasetDelete,
datasetValidate,
finetuneCreate,
finetuneTextCreate,
finetuneAudioCreate,
finetuneImageCreate,
finetuneVideoCreate,
finetuneList,
finetuneGet,
finetuneCancel,
@@ -60,17 +108,49 @@ import {
finetuneExport,
finetuneWatch,
finetuneCapability,
deployCreate,
finetunePrice,
deployTextCreate,
deployAudioCreate,
deployImageCreate,
deployList,
deployGet,
deployModels,
deployScale,
deployUpdate,
deployDelete,
deployPause,
deployResume,
tokenPlanListSeats,
tokenPlanCreateKey,
tokenPlanAssignSeats,
tokenPlanAddMember,
workspaceInit,
pluginInstall,
pluginLink,
pluginList,
pluginRemove,
skillAdd,
skillUpdate,
skillRemove,
skillList,
skillInit,
managedAgentInit,
managedAgentValidate,
managedAgentPlan,
managedAgentApply,
managedAgentDestroy,
managedAgentStateList,
managedAgentStateShow,
managedAgentStateRm,
managedAgentStateImport,
managedAgentSessionCreate,
managedAgentSessionList,
managedAgentSessionGet,
managedAgentSessionDelete,
managedAgentSessionRun,
managedAgentSessionSend,
managedAgentSessionEvents,
managedAgentSkillList,
} from "bailian-cli-commands";
// Full bailian-cli product: every command, exposed under the `bl` binary.
@@ -78,10 +158,11 @@ import {
// ships no presets, so the map is spelled out here. Kept in its own module
// (no side effects) so tools like generate-reference.ts can import it without
// starting the CLI.
export const commands: Record<string, Command> = {
export const commands: Record<string, AnyCommand> = {
"auth login": authLogin,
"auth status": authStatus,
"auth logout": authLogout,
"auth generate-access-token": authGenerateAccessToken,
"text chat": textChat,
omni: textOmni,
"image generate": imageGenerate,
@@ -94,6 +175,10 @@ export const commands: Record<string, Command> = {
"vision describe": visionDescribe,
"config show": configShow,
"config set": configSet,
"config list": configList,
"config use": configUse,
"config ui": configUi,
"config agent": configAgent,
update,
"app call": appCall,
"app list": appList,
@@ -105,6 +190,41 @@ export const commands: Record<string, Command> = {
"memory profile create": memoryProfileCreate,
"memory profile get": memoryProfileGet,
"knowledge retrieve": knowledgeRetrieve,
"knowledge search": knowledgeSearch,
"knowledge chat": knowledgeChat,
"knowledge list": knowledgeKbList,
"knowledge info": knowledgeKbInfo,
"knowledge create": knowledgeKbCreate,
"knowledge update": knowledgeKbUpdate,
"knowledge delete": knowledgeKbDelete,
"knowledge doc list": knowledgeDocList,
"knowledge doc status": knowledgeDocStatus,
"knowledge doc upload": knowledgeDocUpload,
"knowledge doc delete": knowledgeDocDelete,
"knowledge doc tag": knowledgeDocTag,
"knowledge service list": knowledgeServiceList,
"knowledge service get": knowledgeServiceGet,
"knowledge service create": knowledgeServiceCreate,
"knowledge service update": knowledgeServiceUpdate,
"knowledge service deploy": knowledgeServiceDeploy,
"knowledge service delete": knowledgeServiceDelete,
"knowledge service copy": knowledgeServiceCopy,
"knowledge chunk add": knowledgeChunkAdd,
"knowledge chunk list": knowledgeChunkList,
"knowledge chunk update": knowledgeChunkUpdate,
"knowledge chunk delete": knowledgeChunkDelete,
"knowledge stats": knowledgeKbStats,
"knowledge doc import-oss": knowledgeDocImportOss,
// Data-center commands live under knowledge (no separate connector namespace);
// the user-facing term for connector is "collection".
"knowledge collection create": knowledgeCollectionCreate,
"knowledge collection get": knowledgeCollectionGet,
"knowledge category list": knowledgeCategoryList,
"knowledge category add": knowledgeCategoryAdd,
"knowledge category delete": knowledgeCategoryDelete,
"knowledge file list": knowledgeFileList,
"knowledge file get": knowledgeFileGet,
"knowledge file delete": knowledgeFileDelete,
"mcp call": mcpCall,
"mcp list": mcpList,
"mcp tools": mcpTools,
@@ -116,20 +236,30 @@ export const commands: Record<string, Command> = {
"usage free": usageFree,
"usage freetier": usageFreetier,
"usage stats": usageStats,
"usage summary": usageSummary,
"usage token-plan": usageTokenPlan,
"usage coding-plan": usageCodingPlan,
"pipeline run": pipelineRun,
"pipeline validate": pipelineValidate,
"advisor recommend": advisorRecommend,
"model list": modelList,
"workspace list": workspaceList,
"quota list": quotaList,
"quota request": quotaRequest,
"quota update": quotaUpdate,
"quota history": quotaHistory,
"quota check": quotaCheck,
"permission list": permissionList,
"permission grant": permissionGrant,
"permission revoke": permissionRevoke,
"dataset upload": datasetUpload,
"dataset list": datasetList,
"dataset get": datasetGet,
"dataset delete": datasetDelete,
"dataset validate": datasetValidate,
"finetune create": finetuneCreate,
"finetune text create": finetuneTextCreate,
"finetune audio create": finetuneAudioCreate,
"finetune image create": finetuneImageCreate,
"finetune video create": finetuneVideoCreate,
"finetune list": finetuneList,
"finetune get": finetuneGet,
"finetune cancel": finetuneCancel,
@@ -139,15 +269,57 @@ export const commands: Record<string, Command> = {
"finetune export": finetuneExport,
"finetune watch": finetuneWatch,
"finetune capability": finetuneCapability,
"deploy create": deployCreate,
"finetune price": finetunePrice,
"deploy text create": deployTextCreate,
"deploy audio create": deployAudioCreate,
"deploy image create": deployImageCreate,
"deploy list": deployList,
"deploy get": deployGet,
"deploy models": deployModels,
"deploy scale": deployScale,
"deploy update": deployUpdate,
"deploy delete": deployDelete,
"deploy pause": deployPause,
"deploy resume": deployResume,
"token-plan list-seats": tokenPlanListSeats,
"token-plan create-key": tokenPlanCreateKey,
"token-plan assign-seats": tokenPlanAssignSeats,
"token-plan add-member": tokenPlanAddMember,
"workspace init": workspaceInit,
"plugin install": pluginInstall,
"plugin link": pluginLink,
"plugin list": pluginList,
"plugin remove": pluginRemove,
"skill add": skillAdd,
"skill update": skillUpdate,
"skill remove": skillRemove,
"skill list": skillList,
"skill init": skillInit,
"managed-agent init": managedAgentInit,
"managed-agent validate": managedAgentValidate,
"managed-agent plan": managedAgentPlan,
"managed-agent apply": managedAgentApply,
"managed-agent destroy": managedAgentDestroy,
"managed-agent state list": managedAgentStateList,
"managed-agent state show": managedAgentStateShow,
"managed-agent state rm": managedAgentStateRm,
"managed-agent state import": managedAgentStateImport,
"managed-agent session create": managedAgentSessionCreate,
"managed-agent session list": managedAgentSessionList,
"managed-agent session get": managedAgentSessionGet,
"managed-agent session delete": managedAgentSessionDelete,
"managed-agent session run": managedAgentSessionRun,
"managed-agent session send": managedAgentSessionSend,
"managed-agent session events": managedAgentSessionEvents,
"managed-agent skill-list": managedAgentSkillList,
};
/**
* Runtime-only aliases for renamed commands: dispatched by the CLI (merged in
* main.ts) but kept out of the canonical map so generate-reference.ts only
* documents the canonical path.
*/
export const commandAliases: Record<string, AnyCommand> = {
// Pre-migration name of "quota update".
"quota request": quotaUpdate,
};
+21 -7
View File
@@ -1,10 +1,24 @@
import { createCli } from "bailian-cli-runtime";
import { commands } from "./commands.ts";
import { commandAliases, commands } from "./commands.ts";
import { commandPackPolicy } from "./command-pack-policy.ts";
import pkg from "../package.json" with { type: "json" };
void createCli(commands, {
binName: "bl",
version: pkg.version,
clientName: "bailian-cli",
npmPackage: "bailian-cli",
}).run();
const quickStartTasks = [
"帮我创建一个能够生成短片分镜和视频的 Managed Agent。\n Help me create a Managed Agent that can generate short-film storyboards and videos.",
"生成一张穿着太空服的猫站在火星上的图片,再把它制作成一段视频。\n Generate an image of a cat in a spacesuit standing on Mars, then turn it into a video.",
"查看最近的模型用量、免费额度和限流情况。\n Check my recent model usage, free quota, and rate limits.",
"推荐一个适合图片理解和智能客服的模型。\n Recommend a model suitable for image understanding and intelligent customer service.",
"介绍一下 Bailian CLI 能帮我完成哪些任务,并根据我的需求推荐使用方式。\n Explain what Bailian CLI can help me accomplish, and recommend how to use it based on my needs.",
] as const;
void createCli(
{ ...commands, ...commandAliases },
{
binName: "bl",
version: pkg.version,
clientName: "bailian-cli",
npmPackage: "bailian-cli",
quickStartTasks,
commandPacks: commandPackPolicy,
},
).run();
@@ -1,163 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import { isDashScopeE2EReady, parseStdoutJson, runCli } from "./helpers.ts";
describe("e2e: advisor recommend", () => {
test("advisor shows subcommand groups and exits successfully", async () => {
const { stdout, stderr, exitCode } = await runCli(["advisor"]);
expect(exitCode, stderr).toBe(0);
expect(`${stdout}\n${stderr}`).toMatch(/advisor|recommend/i);
});
test("advisor recommend --help exits successfully", async () => {
const { stderr, exitCode } = await runCli(["advisor", "recommend", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/recommend|--message|dry-run/i);
});
});
describe.skipIf(!isDashScopeE2EReady())("e2e: advisor recommend (DashScope)", () => {
test("advisor recommend without --message prints help and exits", async () => {
const { stdout, stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(`${stdout}\n${stderr}`).toMatch(/--message|Usage:/i);
});
test("advisor recommend --dry-run outputs intent analysis and candidates", async () => {
const { stdout, stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--dry-run",
"--message",
"I want to build a customer service bot that understands images",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
userInput?: string;
intent?: { requiredCapabilities?: string[]; inputModality?: string[] };
candidateCount?: number;
candidates?: Array<{ model?: string; score?: number }>;
}>(stdout);
expect(data.userInput).toBe("I want to build a customer service bot that understands images");
expect(data.intent?.requiredCapabilities).toContain("VU");
expect(data.intent?.inputModality).toContain("Image");
expect(data.candidateCount).toBeGreaterThan(0);
expect(data.candidates?.[0]?.model).toBeDefined();
expect(data.candidates?.[0]?.score).toBeGreaterThan(0);
}, 60_000);
test("advisor recommend full flow returns results", async () => {
const { stdout, stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--message",
"low-cost high-concurrency online customer service",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
intent?: { taskSummary?: string };
result?: {
type?: string;
recommendations?: Array<{
model?: string;
name?: string;
reason?: string;
}>;
};
candidates?: number;
}>(stdout);
expect(data.result?.type).toBe("single");
expect(data.result?.recommendations?.length).toBeGreaterThan(0);
expect(data.result?.recommendations?.[0]?.model).toBeDefined();
expect(data.result?.recommendations?.[0]?.reason).toBeDefined();
}, 120_000);
// ---- Model preference: positive cases ----
test("scoped preference — intent contains modelPreference.mode=scoped when family is specified", async () => {
const { stdout, stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--dry-run",
"--message",
"Which model in the deepseek family is best for fast reasoning?",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
intent?: { modelPreference?: { mode?: string; targets?: string[] } };
}>(stdout);
expect(data.intent?.modelPreference?.mode).toBe("scoped");
expect(data.intent?.modelPreference?.targets?.length).toBeGreaterThan(0);
expect(
data.intent?.modelPreference?.targets?.some((target) =>
target.toLowerCase().includes("deepseek"),
),
).toBe(true);
}, 60_000);
test("comparison preference — intent contains modelPreference.mode=comparison when comparing models", async () => {
const { stdout, stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--dry-run",
"--message",
"Which is better for code generation, qwen-max or deepseek-v3?",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
intent?: { modelPreference?: { mode?: string; targets?: string[] } };
}>(stdout);
expect(data.intent?.modelPreference?.mode).toBe("comparison");
expect(data.intent?.modelPreference?.targets?.length).toBeGreaterThanOrEqual(2);
}, 60_000);
test("excludes preference — intent detects modelPreference when excluding models", async () => {
const { stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--dry-run",
"--message",
"Not qwen, recommend a model suitable for text generation",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
}, 60_000);
// ---- Model preference: negative cases ----
test("no preference — intent has no modelPreference or mode=unconstrained for generic queries", async () => {
const { stdout, stderr, exitCode } = await runCli([
"advisor",
"recommend",
"--dry-run",
"--message",
"I want to build a customer service bot that understands images",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
intent?: { modelPreference?: { mode?: string } };
}>(stdout);
const mode = data.intent?.modelPreference?.mode;
expect(mode === undefined || mode === "unconstrained").toBe(true);
}, 60_000);
});
-184
View File
@@ -1,184 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import { isDashScopeE2EReady, parseStdoutJson, runCli } from "./helpers.ts";
/**
* Auth 相关 E2E只验证 CLI 进程能正常解析参数并退出。
*/
describe("e2e: auth", () => {
test("auth 分组展示子命令帮助且退出码为 0", async () => {
const { stdout, stderr, exitCode } = await runCli(["auth"]);
expect(exitCode, stderr).toBe(0);
const out = `${stdout}\n${stderr}`;
expect(out).toMatch(/auth|Authentication|login|logout|status/i);
});
test("auth login --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["auth", "login", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/login|api-key/i);
expect(stderr).toMatch(/--console-site/);
});
test("auth logout --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["auth", "logout", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/logout|dry-run|yes/i);
});
test("auth status --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["auth", "status", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/status|output/i);
});
test("auth login 缺少 --api-key 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli(["auth", "login", "--non-interactive"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/--api-key|Usage:/i);
});
test("auth login --dry-run --api-key 不发起校验与落盘", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"login",
"--dry-run",
"--api-key",
"sk-e2e-dry-run-placeholder",
"--non-interactive",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toContain("Would validate and save API key.");
});
test("auth login --dry-run 覆盖全局参数 --output json --timeout", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"login",
"--dry-run",
"--api-key",
"sk-e2e-dry-run-placeholder",
"--non-interactive",
"--output",
"json",
"--timeout",
"120",
"--no-color",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toContain("Would validate and save API key.");
});
test("auth login 缺少密钥且 --output json 时仍打印子命令帮助 (0)", async () => {
const { stderr, exitCode } = await runCli([
"auth",
"login",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--api-key|Usage:/i);
});
test("auth logout --dry-run 不写入配置", async () => {
const { stdout, stderr, exitCode } = await runCli(["auth", "logout", "--dry-run"]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toContain("No changes made.");
expect(stderr).not.toContain("Cleared api_key");
});
test("auth logout --dry-run --yes --non-interactive", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"logout",
"--dry-run",
"--yes",
"--non-interactive",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toContain("No changes made.");
expect(stderr).not.toContain("Cleared api_key");
});
test("auth logout --dry-run --quiet --no-color", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"logout",
"--dry-run",
"--quiet",
"--no-color",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toContain("No changes made.");
});
test("auth logout --dry-run --output json不清除密钥", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"logout",
"--dry-run",
"--output",
"json",
"--non-interactive",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toContain("No changes made.");
expect(stderr).not.toContain("Cleared api_key");
});
test.skipIf(!isDashScopeE2EReady())("auth status 文本输出", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"status",
"--non-interactive",
"--output",
"text",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toMatch(
/Authentication Status|API key:|Console token:|DashScope API:|Console gateway:/,
);
});
test.skipIf(!isDashScopeE2EReady())("auth status --output json", async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"status",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
authenticated?: boolean;
api_key?: { configured?: boolean };
dashscope_commands?: { method?: string };
}>(stdout);
expect(data.authenticated).toBe(true);
expect(data.api_key?.configured).toBe(true);
expect(data.dashscope_commands?.method).toBeDefined();
});
test.skipIf(!isDashScopeE2EReady())(
"auth status --output json --quiet --base-url 国内",
async () => {
const { stdout, stderr, exitCode } = await runCli([
"auth",
"status",
"--non-interactive",
"--output",
"json",
"--quiet",
"--base-url",
"https://dashscope.aliyuncs.com",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ authenticated?: boolean; dashscope_commands?: unknown }>(
stdout,
);
expect(data.authenticated).toBe(true);
expect(data.dashscope_commands).toBeDefined();
},
);
});
@@ -0,0 +1,134 @@
import { mkdtemp, rm } from "node:fs/promises";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { fileURLToPath } from "node:url";
import { afterAll, beforeAll, describe, expect, test } from "vite-plus/test";
import { parseStdoutJson, runCli } from "./helpers.ts";
const fixtureRoot = join(fileURLToPath(import.meta.url), "..", "..", "fixtures", "command-pack");
let configDir: string;
function env(): NodeJS.ProcessEnv {
return { BAILIAN_CONFIG_DIR: configDir, DO_NOT_TRACK: "1" };
}
describe("e2e: Command Pack", () => {
beforeAll(async () => {
configDir = await mkdtemp(join(tmpdir(), "bl-command-pack-e2e-"));
});
afterAll(async () => {
await rm(configDir, { recursive: true, force: true });
});
test("plugin 分组和管理命令 help 正常", async () => {
const group = await runCli(["plugin"], env());
expect(group.exitCode, group.stderr).toBe(0);
expect(group.stderr).toContain("plugin install");
expect(group.stderr).toContain("plugin link");
expect(group.stderr).toContain("plugin list");
expect(group.stderr).toContain("plugin remove");
const install = await runCli(["plugin", "install", "--help"], env());
expect(install.exitCode, install.stderr).toBe(0);
expect(install.stderr).toContain("--package");
});
test("未 link 时插件命令不存在", async () => {
const result = await runCli(["agent", "ping", "--message", "before"], env());
expect(result.exitCode).not.toBe(0);
expect(result.stderr).toMatch(/Unknown command/i);
});
test("link 后命令进入原生 registry/help/执行链路", async () => {
const linked = await runCli(
["plugin", "link", "--path", fixtureRoot, "--output", "json"],
env(),
);
expect(linked.exitCode, linked.stderr).toBe(0);
const linkedJson = parseStdoutJson<{ linked: { name: string; commands: string[] } }>(
linked.stdout,
);
expect(linkedJson.linked.name).toBe("@ali/bailian-plugin-agent");
expect(linkedJson.linked.commands).toEqual([
"agent credential",
"agent credential-denied",
"agent fail",
"agent output",
"agent ping",
]);
const rootHelp = await runCli(["--help"], env());
expect(rootHelp.exitCode, rootHelp.stderr).toBe(0);
expect(rootHelp.stderr).toContain("agent ping");
const commandHelp = await runCli(["agent", "ping", "--help"], env());
expect(commandHelp.exitCode, commandHelp.stderr).toBe(0);
expect(commandHelp.stderr).toContain("Ping the Command Pack fixture");
expect(commandHelp.stderr).toContain("--message");
const executed = await runCli(["agent", "ping", "--message", "hello"], env());
expect(executed.exitCode, executed.stderr).toBe(0);
expect(executed.stdout).toContain("command-pack:hello");
const credential = await runCli(["agent", "credential", "--api-key", "fixture-key"], env());
expect(credential.exitCode, credential.stderr).toBe(0);
expect(credential.stdout).toContain("credential-source:flag");
const denied = await runCli(["agent", "credential-denied"], {
...env(),
DASHSCOPE_API_KEY: "fixture-key",
});
expect(denied.exitCode).toBe(1);
expect(denied.stderr).toContain('must declare auth="apiKey"');
const outputText = await runCli(["agent", "output"], env());
expect(outputText.exitCode, outputText.stderr).toBe(0);
expect(outputText.stdout).toBe("command-pack-output\n");
const outputJson = await runCli(["agent", "output", "--output", "json"], env());
expect(outputJson.exitCode, outputJson.stderr).toBe(0);
expect(parseStdoutJson(outputJson.stdout)).toEqual({ source: "command-pack", ok: true });
const failed = await runCli(["agent", "fail", "--output", "text"], env());
expect(failed.exitCode).toBe(2);
expect(failed.stderr).toContain("Command Pack fixture usage error.");
expect(failed.stderr).toContain("Use agent fail only in tests.");
});
test("plugin list 输出加载状态", async () => {
const result = await runCli(["plugin", "list", "--output", "json"], env());
expect(result.exitCode, result.stderr).toBe(0);
const json = parseStdoutJson<{
command_packs: Array<{ name: string; status: string; commands: string[] }>;
}>(result.stdout);
expect(json.command_packs).toEqual([
expect.objectContaining({
name: "@ali/bailian-plugin-agent",
status: "loaded",
commands: [
"agent credential",
"agent credential-denied",
"agent fail",
"agent output",
"agent ping",
],
}),
]);
});
test("remove 后命令从下一进程消失", async () => {
const removed = await runCli(
["plugin", "remove", "--name", "@ali/bailian-plugin-agent", "--output", "json"],
env(),
);
expect(removed.exitCode, removed.stderr).toBe(0);
expect(parseStdoutJson<{ removed: string }>(removed.stdout).removed).toBe(
"@ali/bailian-plugin-agent",
);
const result = await runCli(["agent", "ping", "--message", "after"], env());
expect(result.exitCode).not.toBe(0);
expect(result.stderr).toMatch(/Unknown command/i);
});
});
@@ -0,0 +1,164 @@
import { mkdirSync, mkdtempSync, readFileSync, rmSync, writeFileSync } from "fs";
import { tmpdir } from "os";
import { join } from "path";
import { describe, expect, test } from "vite-plus/test";
import { parseStdoutJson, runCli } from "./helpers.ts";
function withTempConfigDir<T>(fn: (dir: string) => Promise<T>): Promise<T> {
const dir = mkdtempSync(join(tmpdir(), "bl-config-profile-"));
return fn(dir).finally(() => {
rmSync(dir, { recursive: true, force: true });
});
}
function writeConfig(dir: string, data: Record<string, unknown>): void {
mkdirSync(dir, { recursive: true });
writeFileSync(join(dir, "config.json"), JSON.stringify(data, null, 2) + "\n");
}
describe("e2e: named config", () => {
test("根帮助展示 --config 全局标志", async () => {
const { stderr, exitCode } = await runCli(["--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/--config <name>/);
});
test("config set --config 写入命名 block 且不影响默认配置", async () => {
await withTempConfigDir(async (dir) => {
writeConfig(dir, { output: "text", api_key: "sk-default" });
const setResult = await runCli(
[
"config",
"set",
"--config",
"dev",
"--key",
"output",
"--value",
"json",
"--output",
"json",
],
{ BAILIAN_CONFIG_DIR: dir },
);
expect(setResult.exitCode, setResult.stderr).toBe(0);
const setData = parseStdoutJson<{
output?: string;
config?: string;
config_file?: string;
}>(setResult.stdout);
expect(setData.output).toBe("json");
expect(setData.config).toBe("dev");
expect(setData.config_file).toBe(join(dir, "config.json"));
const raw = JSON.parse(readFileSync(join(dir, "config.json"), "utf8")) as Record<
string,
unknown
>;
expect(raw.output).toBe("text");
expect((raw.dev as Record<string, unknown>).output).toBe("json");
});
});
test("config show --config 只展示命名 block", async () => {
await withTempConfigDir(async (dir) => {
writeConfig(dir, {
output: "text",
api_key: "sk-default",
dev: { output: "json", access_token: "tok-dev" },
});
const { stdout, stderr, exitCode } = await runCli(
["config", "show", "--config", "dev", "--output", "json"],
{ BAILIAN_CONFIG_DIR: dir },
);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<Record<string, unknown>>(stdout);
expect(data.config).toBe("dev");
expect(data.config_file).toBe(join(dir, "config.json"));
expect(data.output).toBe("json");
expect(data.access_token).toBeDefined();
expect(data.api_key).toBeUndefined();
});
});
test("auth status --config 不继承默认凭证", async () => {
await withTempConfigDir(async (dir) => {
writeConfig(dir, { api_key: "sk-default", dev: { output: "json" } });
const devStatus = await runCli(["auth", "status", "--config", "dev", "--output", "json"], {
BAILIAN_CONFIG_DIR: dir,
DASHSCOPE_API_KEY: "",
ALIBABA_CLOUD_ACCESS_KEY_ID: "",
ALIBABA_CLOUD_ACCESS_KEY_SECRET: "",
});
expect(devStatus.exitCode, devStatus.stderr).toBe(0);
const devData = parseStdoutJson<Record<string, unknown>>(devStatus.stdout);
expect(devData.authenticated).toBe(false);
expect(devData.config).toBe("dev");
const defaultStatus = await runCli(["auth", "status", "--output", "json"], {
BAILIAN_CONFIG_DIR: dir,
DASHSCOPE_API_KEY: "",
ALIBABA_CLOUD_ACCESS_KEY_ID: "",
ALIBABA_CLOUD_ACCESS_KEY_SECRET: "",
});
expect(defaultStatus.exitCode, defaultStatus.stderr).toBe(0);
const defaultData = parseStdoutJson<Record<string, unknown>>(defaultStatus.stdout);
expect(defaultData.authenticated).toBe(true);
expect(defaultData.config).toBe("default");
});
});
test("--config default 等价默认配置", async () => {
await withTempConfigDir(async (dir) => {
writeConfig(dir, {
active_config: "token-plan",
output: "json",
api_key: "sk-default",
"token-plan": { output: "text", api_key: "sk-token" },
});
const { stdout, stderr, exitCode } = await runCli(
["config", "show", "--config", "default", "--output", "json"],
{ BAILIAN_CONFIG_DIR: dir },
);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<Record<string, unknown>>(stdout);
expect(data.config).toBe("default");
expect(data.active).toBeUndefined();
expect(data.api_key).toBeDefined();
const raw = JSON.parse(readFileSync(join(dir, "config.json"), "utf8")) as Record<
string,
unknown
>;
expect(raw.active_config).toBe("token-plan");
});
});
test("非法 --config 名称报 usage error", async () => {
const { stderr, exitCode } = await runCli(["auth", "status", "--config", "../evil"]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/Invalid config name/);
});
test("auth status 文本输出分行展示选中 Config 和配置文件", async () => {
await withTempConfigDir(async (dir) => {
writeConfig(dir, {
active_config: "token-plan",
"token-plan": { api_key: "sk-token" },
});
const result = await runCli(["auth", "status", "--output", "text"], {
BAILIAN_CONFIG_DIR: dir,
DASHSCOPE_API_KEY: "",
ALIBABA_CLOUD_ACCESS_KEY_ID: "",
ALIBABA_CLOUD_ACCESS_KEY_SECRET: "",
});
expect(result.exitCode, result.stderr).toBe(0);
expect(result.stdout).toContain("Config: token-plan\n");
expect(result.stdout).toContain(`Config file: ${join(dir, "config.json")}\n`);
expect(result.stdout).not.toContain("Active config:");
});
});
});
-143
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@@ -1,143 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import { parseStdoutJson, runCli } from "./helpers.ts";
/**
* Config 相关 E2E
*/
describe("e2e: config", () => {
test("config 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["config"]);
expect(exitCode, stderr).toBe(0);
const out = `${stdout}\n${stderr}`;
expect(out).toMatch(/config|show|set|export-schema/i);
});
test("config show --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["config", "show", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/show|config/i);
});
test("config set --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["config", "set", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/set|--key|--value/i);
});
test("config show --output json", async () => {
const { stdout, stderr, exitCode } = await runCli([
"config",
"show",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
config_file?: string;
base_url?: string;
timeout?: number;
}>(stdout);
expect(data.config_file).toBeDefined();
expect(data.base_url).toBeDefined();
expect(data.timeout).toBeDefined();
});
test("config show --output text --no-color", async () => {
const { stdout, stderr, exitCode } = await runCli([
"config",
"show",
"--non-interactive",
"--output",
"text",
"--no-color",
]);
expect(exitCode, stderr).toBe(0);
expect(stdout).toMatch(/config_file|timeout|base_url/i);
});
test("config set 缺少 --key / --value 时退出为用法错误 (2)", async () => {
const { stderr, exitCode } = await runCli(["config", "set", "--non-interactive"]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/--key|--value|required/i);
});
test("config set 非法 key 时退出为用法错误", async () => {
const { stderr, exitCode } = await runCli([
"config",
"set",
"--non-interactive",
"--key",
"not-a-real-key",
"--value",
"x",
]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/Invalid config key|not-a-real-key/i);
});
test("config set 非法 output", async () => {
const { stderr, exitCode } = await runCli([
"config",
"set",
"--non-interactive",
"--key",
"output",
"--value",
"yaml",
]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/Invalid output|text, json/i);
});
test("config set 非法 timeout", async () => {
const { stderr, exitCode } = await runCli([
"config",
"set",
"--non-interactive",
"--key",
"timeout",
"--value",
"0",
]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/Invalid timeout|positive/i);
});
test("config set --dry-run 不落盘(仅输出 would_set", async () => {
const { stdout, stderr, exitCode } = await runCli([
"config",
"set",
"--dry-run",
"--non-interactive",
"--key",
"output",
"--value",
"json",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ would_set?: { output?: string } }>(stdout);
expect(data.would_set?.output).toBe("json");
});
test("config set --dry-run 支持连字符别名 key", async () => {
const { stdout, stderr, exitCode } = await runCli([
"config",
"set",
"--dry-run",
"--non-interactive",
"--key",
"default-text-model",
"--value",
"qwen3.7-max",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ would_set?: { default_text_model?: string } }>(stdout);
expect(data.would_set?.default_text_model).toBe("qwen3.7-max");
});
});
+40 -204
View File
@@ -1,216 +1,52 @@
import { execFile } from "child_process";
import { mkdirSync, readFileSync } from "fs";
import { promisify } from "util";
import { basename, dirname, join } from "path";
import { dirname, join } from "path";
import { fileURLToPath } from "url";
import { readConfigFile } from "bailian-cli-core";
import {
cliTimeoutPrefix,
cliTimeoutSeconds,
e2eLabelFromMetaUrl,
isConsoleAuthFailure,
makeE2eOutputDir,
parseStdoutJson,
} from "e2e/output";
import { runNodeMain, type RunCliResult } from "e2e/runner";
import {
isBailianE2EEnabled,
isBailianE2EMediaEnabled,
isBailianE2EVideoEnabled,
isChatE2EReady,
isConsoleE2EReady,
isDashScopeE2EReady,
isSearchE2EReady,
} from "e2e/gating";
import { monorepoRoot } from "e2e/monorepo-root";
const execFileAsync = promisify(execFile);
export {
cliTimeoutPrefix,
cliTimeoutSeconds,
e2eLabelFromMetaUrl,
isBailianE2EEnabled,
isBailianE2EMediaEnabled,
isBailianE2EVideoEnabled,
isChatE2EReady,
isConsoleAuthFailure,
isConsoleE2EReady,
isDashScopeE2EReady,
isSearchE2EReady,
makeE2eOutputDir,
monorepoRoot,
parseStdoutJson,
};
export type { RunCliResult };
/**
* Vitest `global-setup.ts` 写入 `test/output/` 下本文件名,供各 worker 进程读取同一会话 id。
* (仅模块内变量无法跨 Vitest 多进程 worker 共享。)
*/
export const E2E_RUN_SESSION_FILENAME = ".e2e-run-session";
/**
* 单次 `vp test` / Vitest 运行共用的 E2E 输出会话目录名(惰性缓存于当前进程)。
*/
let e2eOutputSessionId: string | undefined;
/** `packages/cli` 根目录(含 `src/main.ts` */
/** `packages/cli` 根目录 */
export const cliPackageRoot = join(dirname(fileURLToPath(import.meta.url)), "..", "..");
const mainTs = join(cliPackageRoot, "src", "main.ts");
/** Monorepo 根(含根 `package.json` */
export function monorepoRoot(): string {
return join(cliPackageRoot, "..", "..");
}
function readE2eRunSessionFromOutputDir(): string | undefined {
try {
const p = join(monorepoRoot(), "test", "output", E2E_RUN_SESSION_FILENAME);
const t = readFileSync(p, "utf8").trim();
return t.length > 0 ? t : undefined;
} catch {
return undefined;
}
}
function getE2eOutputSessionId(): string {
if (!e2eOutputSessionId) {
const fromEnv = process.env.BAILIAN_E2E_RUN_ID?.trim();
if (fromEnv) {
e2eOutputSessionId = fromEnv.replace(/[^a-zA-Z0-9._-]+/g, "-");
} else {
const fromFile = readE2eRunSessionFromOutputDir();
if (fromFile) {
e2eOutputSessionId = fromFile.replace(/[^a-zA-Z0-9._-]+/g, "-");
} else {
e2eOutputSessionId = `e2e-run-${Date.now()}-${process.pid}`;
}
}
}
return e2eOutputSessionId;
}
/**
* 在 `test/output/<会话>/` 下创建用例子目录。
* 会话 id 优先 `BAILIAN_E2E_RUN_ID`,否则读 Vitest globalSetup 写入的 `test/output/.e2e-run-session`
* 再否则回退为单进程 id非 Vitest 直接跑用例时)。
* 若已设 `BAILIAN_E2E_OUT` 则直接使用(不再套会话目录)。
*/
export function makeE2eOutputDir(label: string): string {
const fromEnv = process.env.BAILIAN_E2E_OUT?.trim();
if (fromEnv) {
mkdirSync(fromEnv, { recursive: true });
return fromEnv;
}
const safe = label.replace(/[^a-zA-Z0-9._-]+/g, "-");
const sessionDir = join(monorepoRoot(), "test", "output", getE2eOutputSessionId());
mkdirSync(sessionDir, { recursive: true });
const dir = join(sessionDir, `e2e-vp-${safe}-${Date.now()}`);
mkdirSync(dir, { recursive: true });
return dir;
}
/** 全局 `--timeout` 秒数(视频等长任务) */
export function cliTimeoutSeconds(): string {
return process.env.BAILIAN_E2E_TIMEOUT_SEC?.trim() || "3600";
}
export function cliTimeoutPrefix(): string[] {
return ["--timeout", cliTimeoutSeconds()];
}
/** 显式开启后才跑真实网络 E2E避免默认 `vp test` 依赖密钥或打外网 */
export function isBailianE2EEnabled(): boolean {
return process.env.BAILIAN_E2E === "1";
}
/** 可调 DashScope 的 API Key环境变量优先否则读 ~/.bailian/config.json */
export function isDashScopeE2EReady(): boolean {
if (!isBailianE2EEnabled()) return false;
if (process.env.DASHSCOPE_API_KEY?.trim()) return true;
try {
const f = readConfigFile();
return typeof f.api_key === "string" && f.api_key.length > 0;
} catch {
return false;
}
}
/**
* Console-gateway 命令quota / usage free / usage stats的 E2E 就绪检查:
* 需 `BAILIAN_E2E=1` 且存在 console access_token环境变量 `DASHSCOPE_ACCESS_TOKEN`
* 或 `~/.bailian/config.json` 的 `access_token`)。
*
* 仅检查 token 是否存在——无法本地判断是否过期。token 过期时 gated 用例仍会执行,
* 但用 `isConsoleAuthFailure` 把“session 未登录/已过期”的优雅报错视为通过,保持
* 与 deploy/dataset “无 key / 有效 key / 失效 key 均绿”的一致策略。
*/
export function isConsoleE2EReady(): boolean {
if (!isBailianE2EEnabled()) return false;
if (process.env.DASHSCOPE_ACCESS_TOKEN?.trim()) return true;
try {
const config = readConfigFile();
return typeof config.access_token === "string" && config.access_token.length > 0;
} catch {
return false;
}
}
/** 语音与图像(可设 `BAILIAN_E2E_MEDIA=0` 在仅跑文本/记忆/知识库时跳过) */
export function isBailianE2EMediaEnabled(): boolean {
if (process.env.BAILIAN_E2E_MEDIA === "0") return false;
return isBailianE2EEnabled();
}
/** 文生视频 / 图生视频 / 参考视频 / 视频编辑(耗时长,默认关闭) */
export function isBailianE2EVideoEnabled(): boolean {
return isBailianE2EEnabled() && process.env.BAILIAN_E2E_VIDEO === "1";
}
/** 从 `import.meta.url` 生成 OUT 子目录标签,避免并行用例目录冲突 */
export function e2eLabelFromMetaUrl(metaUrl: string): string {
return basename(fileURLToPath(metaUrl), ".ts").replace(/\.e2e\.test$/, "");
}
/** 知识库用例:须显式索引 ID + API-KEY 或 AK/SK */
export function isKnowledgeE2EReady(): boolean {
if (!isBailianE2EEnabled()) return false;
if (!process.env.BAILIAN_E2E_INDEX_ID) return false;
const hasApiKey = isDashScopeE2EReady();
const hasAkSk =
!!process.env.ALIBABA_CLOUD_ACCESS_KEY_ID && !!process.env.ALIBABA_CLOUD_ACCESS_KEY_SECRET;
return hasApiKey || hasAkSk;
}
export function isKnowledgeAkSkReady(): boolean {
return (
isBailianE2EEnabled() &&
!!process.env.ALIBABA_CLOUD_ACCESS_KEY_ID &&
!!process.env.ALIBABA_CLOUD_ACCESS_KEY_SECRET &&
!!process.env.BAILIAN_E2E_INDEX_ID
);
}
export interface RunCliResult {
stdout: string;
stderr: string;
exitCode: number;
}
/**
* 子进程执行 CLI等价于在 `packages/cli` 下 `node src/main.ts ...`)。
* request_id 等诊断信息在 stderr`--output json` 时 JSON 在 stdout。
*/
/** 子进程执行 bl CLI */
export async function runCli(
args: string[],
envOverrides: NodeJS.ProcessEnv = {},
): Promise<RunCliResult> {
try {
const { stdout, stderr } = await execFileAsync("node", [mainTs, ...args], {
cwd: cliPackageRoot,
encoding: "utf8",
maxBuffer: 32 * 1024 * 1024,
env: {
...process.env,
NODE_NO_WARNINGS: "1",
DO_NOT_TRACK: "1",
...envOverrides,
},
});
return { stdout: stdout ?? "", stderr: stderr ?? "", exitCode: 0 };
} catch (err: unknown) {
const e = err as {
stdout?: string;
stderr?: string;
code?: number;
};
return {
stdout: e.stdout ?? "",
stderr: e.stderr ?? "",
exitCode: typeof e.code === "number" ? e.code : 1,
};
}
}
export function parseStdoutJson<T = unknown>(stdout: string): T {
const t = stdout.trim();
return JSON.parse(t) as T;
}
/**
* 判断一次 CLI 运行是否因 console session 未登录/已过期而失败。
*
* Console E2E 用例的 readiness 闸(`isConsoleE2EReady`)只能判断 token 是否存在,
* 无法判断是否过期token 失效时 gated 用例仍会执行并拿到鉴权错误。本函数让用例
* 参考 deploy/dataset 的做法:只要 CLI 把鉴权错误优雅上抛(非零退出 + stderr 说明
* session 失效),即视为通过,而不是强求 exit 0 的成功输出。
*/
export function isConsoleAuthFailure(result: RunCliResult): boolean {
if (result.exitCode === 0) return false;
return /not logged in|has expired|NotLogined|Run `bl auth login/i.test(result.stderr);
return runNodeMain(mainTs, args, { cwd: cliPackageRoot, env: envOverrides });
}
@@ -1,104 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import { dirname, join } from "path";
import { fileURLToPath } from "url";
import {
e2eLabelFromMetaUrl,
isBailianE2EMediaEnabled,
isDashScopeE2EReady,
makeE2eOutputDir,
parseStdoutJson,
runCli,
} from "./helpers.ts";
const __dirname = dirname(fileURLToPath(import.meta.url));
/**
* Image edit E2E
*/
describe("e2e: image edit", () => {
test("image 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["image"]);
expect(exitCode, stderr).toBe(0);
const out = `${stdout}\n${stderr}`;
expect(out).toMatch(/image|generate|edit/i);
});
test("image edit --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["image", "edit", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/edit|--image|--prompt/i);
});
});
describe.skipIf(!isBailianE2EMediaEnabled() || !isDashScopeE2EReady())("e2e: image edit", () => {
test("image edit 缺少 --image 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli([
"image",
"edit",
"--prompt",
"仅提示词",
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--image|Usage:/i);
});
test("image edit 缺少 --prompt 时打印子命令帮助并退出 (0)", async () => {
const testPng = join(__dirname, ".smoke-32.png");
const { stderr, exitCode } = await runCli([
"image",
"edit",
"--image",
testPng,
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--prompt|Usage:/i);
});
test("【qwen-image-2.0】图片编辑", async () => {
const outDir = makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url));
const gen = await runCli([
"image",
"generate",
"--model",
"qwen-image-2.0",
"--prompt",
"一只简笔画小猫,白底",
"--out-dir",
outDir,
"--out-prefix",
"e2e-gen",
"--non-interactive",
"--output",
"json",
]);
expect(gen.exitCode, gen.stderr).toBe(0);
const genData = parseStdoutJson<{ urls?: string[] }>(gen.stdout);
const imagePath = genData.urls?.[0];
expect(imagePath).toBeTruthy();
const ed = await runCli([
"image",
"edit",
"--model",
"qwen-image-2.0",
"--image",
imagePath!,
"--prompt",
"把背景改成浅蓝色",
"--out-dir",
outDir,
"--out-prefix",
"e2e-edit",
"--non-interactive",
"--output",
"json",
]);
expect(ed.exitCode, ed.stderr).toBe(0);
const edData = parseStdoutJson<{ saved?: string[] }>(ed.stdout);
expect(edData.saved?.length ?? 0).toBeGreaterThan(0);
}, 600_000);
});
@@ -1,70 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import {
e2eLabelFromMetaUrl,
isBailianE2EMediaEnabled,
isDashScopeE2EReady,
makeE2eOutputDir,
parseStdoutJson,
runCli,
} from "./helpers.ts";
/**
* Image generate先做 help / 分组等常规检测(不依赖密钥、不调生成接口)。
* 需 DashScope + 媒体 E2E 的缺参、dry-run 与真实生成放在 skip 块内;
* 真实生成用例保持原逻辑与顺序,放在块内最后。
*/
describe("e2e: image generate", () => {
test("image 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["image"]);
expect(exitCode, stderr).toBe(0);
const out = `${stdout}\n${stderr}`;
expect(out).toMatch(/image|generate|edit/i);
});
test("image generate --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["image", "generate", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/generate|--prompt|--model/i);
});
});
describe.skipIf(!isBailianE2EMediaEnabled() || !isDashScopeE2EReady())(
"e2e: image generate",
() => {
test("image generate 缺少 --prompt 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli([
"image",
"generate",
"--model",
"qwen-image-2.0",
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--prompt|Usage:/i);
});
test("【qwen-image-2.0】图片生成", async () => {
const outDir = makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url));
const { stdout, stderr, exitCode } = await runCli([
"image",
"generate",
"--model",
"qwen-image-2.0",
"--prompt",
"一只简笔画小猫,白底",
"--out-dir",
outDir,
"--out-prefix",
"e2e-gen",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ saved?: string[] }>(stdout);
expect(data.saved?.length ?? 0).toBeGreaterThan(0);
expect(data.saved?.[0]).toContain("e2e-gen");
}, 300_000);
},
);
-282
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@@ -1,282 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import { isConsoleE2EReady, isConsoleAuthFailure, parseStdoutJson, runCli } from "./helpers.ts";
describe("e2e: quota", () => {
test("quota list --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["quota", "list", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain("--model");
expect(stderr).toContain("--all");
});
test("quota list --help 包含所有示例", async () => {
const { stderr, exitCode } = await runCli(["quota", "list", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain("bl quota list");
expect(stderr).toContain("bl quota list --model qwen3.6-plus");
expect(stderr).toContain("bl quota list --all");
});
test("quota request --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["quota", "request", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain("--model");
expect(stderr).toContain("--tpm");
expect(stderr).toContain("--yes");
});
test("quota history --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["quota", "history", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain("--page");
expect(stderr).toContain("--model");
});
test("quota check --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["quota", "check", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain("--model");
expect(stderr).toContain("--period");
expect(stderr).toContain("bl quota check");
});
test("quota check --period 0 报错最小值", async () => {
const { stderr, exitCode } = await runCli(["quota", "check", "--period", "0.5"]);
expect(exitCode).toBe(1);
expect(stderr).toContain("at least 1 minute");
});
});
describe.skipIf(!isConsoleE2EReady())("e2e: quotaConsole", () => {
test("quota list --dry-run 输出请求参数", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"list",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
api?: string;
data?: {
input?: { queryQpmInfo?: boolean; supports?: { selfServiceLimitIncrease?: boolean } };
};
}>(stdout);
expect(data.api).toContain("listFoundationModels");
expect(data.data?.input?.queryQpmInfo).toBe(true);
expect(data.data?.input?.supports?.selfServiceLimitIncrease).toBe(true);
});
test("quota list --dry-run --all 不传 supports 过滤", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"list",
"--all",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
data?: { input?: { supports?: unknown } };
}>(stdout);
expect(data.data?.input?.supports).toBeUndefined();
});
test("quota list 文本输出包含英文表头", async () => {
const result = await runCli(["quota", "list", "--output", "text", "--no-color"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota list --model 指定模型返回结果", async () => {
const result = await runCli([
"quota",
"list",
"--model",
"qwen3.6-plus",
"--output",
"text",
"--no-color",
]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota list --model 不存在的模型报错", async () => {
const result = await runCli([
"quota",
"list",
"--model",
"nonexistent-model-xyz-99999",
"--output",
"text",
]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode).toBe(1);
expect(result.stderr).toContain("no matching models found");
});
test("quota list JSON 输出包含 model/rpm/tpm/maxTPM", async () => {
const result = await runCli(["quota", "list", "--output", "json"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota request --dry-run 输出请求参数", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"request",
"--model",
"qwen3.6-plus",
"--tpm",
"6000000",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
api?: string;
data?: { input?: { model?: string; limit?: { usage_limit?: number } } };
}>(stdout);
expect(data.api).toContain("updateFoundationModelLimits");
expect(data.data?.input?.model).toBe("qwen3.6-plus");
expect(data.data?.input?.limit?.usage_limit).toBeTypeOf("number");
});
test("quota request TPM 超范围报错", async () => {
const result = await runCli(["quota", "request", "--model", "qwen3.6-plus", "--tpm", "999"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode).toBe(1);
expect(result.stderr).toContain("out of range");
expect(result.stderr).toContain("Current");
expect(result.stderr).toContain("Range");
});
test("quota request 不支持提额的模型报错", async () => {
const result = await runCli([
"quota",
"request",
"--model",
"nonexistent-model-xyz-99999",
"--tpm",
"100000",
]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode).toBe(1);
expect(result.stderr).toContain("not found");
});
test("quota history --dry-run 输出请求参数", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"history",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
api?: string;
data?: { input?: { pageNo?: number; pageSize?: number } };
}>(stdout);
expect(data.api).toContain("listModelLimitApplications");
expect(data.data?.input?.pageNo).toBe(1);
expect(data.data?.input?.pageSize).toBe(10);
});
test("quota check --dry-run 输出 API 信息", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"check",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ apis?: string[]; consoleRegion?: string }>(stdout);
expect(data.apis).toContain(
"zeldaHttp.dashscopeModel./zelda/api/v1/modelCenter/listFoundationModels",
);
expect(data.apis).toContain("zeldaEasy.bailian-telemetry.monitor.getMonitorData");
expect(data.consoleRegion).toBe("cn-beijing");
});
test("quota check --dry-run --console-region 透传", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"check",
"--dry-run",
"--non-interactive",
"--output",
"json",
"--console-region",
"cn-hangzhou",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ consoleRegion?: string }>(stdout);
expect(data.consoleRegion).toBe("cn-hangzhou");
});
test("quota check 文本输出包含英文表头", async () => {
const result = await runCli(["quota", "check", "--output", "text", "--no-color"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota check --model 指定单模型", async () => {
const result = await runCli([
"quota",
"check",
"--model",
"qwen3.6-plus",
"--output",
"text",
"--no-color",
]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota check --model 逗号分隔多模型", async () => {
const result = await runCli([
"quota",
"check",
"--model",
"qwen3.6-plus,qwen-plus",
"--output",
"text",
"--no-color",
]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota check JSON 输出包含用量和限额字段", async () => {
const result = await runCli(["quota", "check", "--model", "qwen3.6-plus", "--output", "json"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("quota history --dry-run --page 2 --page-size 20", async () => {
const { stdout, stderr, exitCode } = await runCli([
"quota",
"history",
"--page",
"2",
"--page-size",
"20",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
data?: { input?: { pageNo?: number; pageSize?: number } };
}>(stdout);
expect(data.data?.input?.pageNo).toBe(2);
expect(data.data?.input?.pageSize).toBe(20);
});
});
@@ -0,0 +1,64 @@
import { describe, expect, test } from "vite-plus/test";
import { deriveGroupPaths } from "e2e/registry-smoke";
import { commands } from "../../src/commands.ts";
import { runCli } from "./helpers.ts";
const commandPaths = Object.keys(commands).sort();
const groupPaths = deriveGroupPaths(commandPaths);
describe("e2e: bl registry smoke", () => {
test("根帮助展示 bl、逐命令鉴权域与全局 flag", async () => {
const { stderr, exitCode } = await runCli(["--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/\bbl\b/i);
expect(stderr).not.toMatch(/COMMAND\s+AUTH\s+DESCRIPTION/);
expect(stderr).toMatch(/app call\s+\[API Key\]\s+Call a Bailian application/);
expect(stderr).toMatch(/app list\s+\[Console\]\s+List Bailian applications/);
expect(stderr).toMatch(/token-plan create-key\s+\[AK\/SK\]\s+Create a Token Plan API key/);
expect(stderr).toMatch(/config show\s+\[No Auth\]\s+Display current configuration/);
expect(stderr).toMatch(/--base-url/);
expect(stderr).toMatch(/--console-region/);
expect(stderr).toMatch(/--console-site/);
expect(stderr).toMatch(/--console-switch-agent/);
expect(stderr).not.toMatch(/^\s*--region\s/m);
});
test("分组帮助按叶子命令展示不同鉴权域", async () => {
const { stderr, exitCode } = await runCli(["app", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/app call\s+\[API Key\]\s+Call a Bailian application/);
expect(stderr).toMatch(/app list\s+\[Console\]\s+List Bailian applications/);
});
test.each([
[["text", "chat"], "API Key"],
[["app", "list"], "Console"],
[["token-plan", "list-seats"], "AK/SK"],
[["config", "show"], "No Auth"],
] as const)("%s --help 明确展示鉴权域 %s", async (commandPath, authLabel) => {
const { stderr, exitCode } = await runCli([...commandPath, "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain(`Authentication: ${authLabel}`);
});
test("quota check --help:Flags 含 console 域鉴权 flag,Global Flags 全量列出", async () => {
const { stderr, exitCode } = await runCli(["quota", "check", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/Global Flags:/);
expect(stderr).toMatch(/--console-region <region>/);
expect(stderr).toMatch(/--model <model>/);
expect(stderr).toMatch(/--period <minutes>/);
expect(stderr).toMatch(/--output <format>/);
expect(stderr).not.toMatch(/API region \(default: cn-beijing\)/);
});
test.each(commandPaths)("已注册命令 %s --help 成功", async (path) => {
const { stderr, exitCode } = await runCli([...path.split(" "), "--help"]);
expect(exitCode, stderr).toBe(0);
});
test.each(groupPaths)("命令分组 %s --help 成功", async (path) => {
const { stderr, exitCode } = await runCli([...path.split(" "), "--help"]);
expect(exitCode, stderr).toBe(0);
});
});
@@ -1,84 +0,0 @@
import { readFileSync } from "node:fs";
import { join } from "node:path";
import { describe, expect, test } from "vite-plus/test";
import {
e2eLabelFromMetaUrl,
isBailianE2EMediaEnabled,
isDashScopeE2EReady,
makeE2eOutputDir,
parseStdoutJson,
runCli,
} from "./helpers.ts";
/**
* Speech recognizehelp / 分组不依赖密钥;识别流程需媒体 E2E + DashScope。
*/
describe("e2e: speech recognize", () => {
test("speech 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["speech"]);
expect(exitCode, stderr).toBe(0);
expect(`${stdout}\n${stderr}`).toMatch(/speech|synthesize|recognize/i);
});
test("speech recognize --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["speech", "recognize", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/recognize|--url|model|audio/i);
});
});
describe.skipIf(!isBailianE2EMediaEnabled() || !isDashScopeE2EReady())(
"e2e: speech recognizeDashScope 媒体)",
() => {
test("speech recognize 缺少 --url 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli(["speech", "recognize", "--non-interactive"]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--url|Usage:/i);
});
test("【fun-asr】语音识别", async () => {
const outDir = makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url));
const outMp3 = join(outDir, "e2e-tts.mp3");
const syn = await runCli([
"speech",
"synthesize",
"--model",
"cosyvoice-v3-flash",
"--voice",
"longxiaochun_v3",
"--text",
"端到端语音识别",
"--out",
outMp3,
"--non-interactive",
"--output",
"json",
]);
expect(syn.exitCode, syn.stderr).toBe(0);
const synBody = parseStdoutJson<{ audio_url?: string }>(syn.stdout);
const audioUrl = synBody.audio_url;
expect(audioUrl?.startsWith("http")).toBe(true);
const asrJson = join(outDir, "e2e-asr.json");
const rec = await runCli([
"speech",
"recognize",
"--model",
"fun-asr",
"--url",
audioUrl!,
"--language",
"zh",
"--out",
asrJson,
"--non-interactive",
"--output",
"json",
]);
expect(rec.exitCode, rec.stderr).toBe(0);
const raw = readFileSync(asrJson, "utf8");
expect(raw.length).toBeGreaterThan(2);
}, 300_000);
},
);
@@ -1,77 +0,0 @@
import { describe, expect, test } from "vite-plus/test";
import { isDashScopeE2EReady, parseStdoutJson, runCli } from "./helpers.ts";
/**
* Text chathelp / 分组不依赖密钥;对话需 DashScope。
*/
describe("e2e: text chat", () => {
test("text 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["text"]);
expect(exitCode, stderr).toBe(0);
expect(`${stdout}\n${stderr}`).toMatch(/text|chat/i);
});
test("text chat --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["text", "chat", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/chat|--message|model|stream/i);
});
});
describe.skipIf(!isDashScopeE2EReady())("e2e: text chatDashScope", () => {
test("text chat 缺少 --message 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli([
"text",
"chat",
"--model",
"qwen3.7-max",
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--message|Usage:/i);
});
test("text chat --dry-run 仅输出 request 且不调对话接口", async () => {
const { stdout, stderr, exitCode } = await runCli([
"text",
"chat",
"--dry-run",
"--model",
"qwen3.7-max",
"--message",
"干跑",
"--max-tokens",
"8",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
request?: { model?: string; messages?: Array<{ content?: string }> };
}>(stdout);
expect(data.request?.model).toBe("qwen3.7-max");
expect(data.request?.messages?.some((m) => m.content === "干跑")).toBe(true);
});
test("【qwen3.7-max】文本对话", async () => {
const { stdout, stderr, exitCode } = await runCli([
"text",
"chat",
"--model",
"qwen3.7-max",
"--message",
"只回复一个字:好",
"--max-tokens",
"32",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ choices?: Array<{ message?: { content?: string } }> }>(stdout);
const text = data.choices?.[0]?.message?.content ?? "";
expect(text.length).toBeGreaterThan(0);
}, 120_000);
});
@@ -0,0 +1,65 @@
import { describe, expect, test } from "vite-plus/test";
import { isConsoleE2EReady, isConsoleAuthFailure, parseStdoutJson, runCli } from "./helpers.ts";
describe("e2e: usage summary", () => {
test("usage summary --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["usage", "summary", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/--days|summary|usage/i);
});
test("usage summary --help 包含所有示例", async () => {
const { stderr, exitCode } = await runCli(["usage", "summary", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toContain("bl usage summary");
expect(stderr).toContain("bl usage summary --days 30");
});
});
describe.skipIf(!isConsoleE2EReady())("e2e: usage summaryConsole", () => {
test("usage summary --dry-run 输出 free-tier 计划请求", async () => {
const { stdout, stderr, exitCode } = await runCli([
"usage",
"summary",
"--dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ freeTier?: { api?: string }; usage?: unknown }>(stdout);
expect(data.freeTier?.api).toContain("queryFreeTierQuota");
});
test("usage summary --dry-run --workspace-id 附带用量概览计划请求", async () => {
const { stdout, stderr, exitCode } = await runCli([
"usage",
"summary",
"--dry-run",
"--workspace-id",
"ws-e2e-dry-run",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{
usage?: { api?: string; data?: { reqDTO?: { filterWorkspaceId?: string } } };
}>(stdout);
expect(data.usage?.api).toContain("getModelUsageStatistic");
expect(data.usage?.data?.reqDTO?.filterWorkspaceId).toBe("ws-e2e-dry-run");
});
test("usage summary 文本输出正常返回", async () => {
const result = await runCli(["usage", "summary", "--output", "text"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
});
test("usage summary JSON 输出包含 freeTier 字段", async () => {
const result = await runCli(["usage", "summary", "--output", "json"]);
if (isConsoleAuthFailure(result)) return;
expect(result.exitCode, result.stderr).toBe(0);
const data = parseStdoutJson<{ freeTier?: unknown; period?: unknown }>(result.stdout);
expect(data.period).toBeTypeOf("object");
expect(Array.isArray(data.freeTier)).toBe(true);
});
});
@@ -1,115 +0,0 @@
import { join } from "node:path";
import { describe, expect, test } from "vite-plus/test";
import {
cliTimeoutPrefix,
e2eLabelFromMetaUrl,
isBailianE2EVideoEnabled,
isDashScopeE2EReady,
makeE2eOutputDir,
parseStdoutJson,
runCli,
} from "./helpers.ts";
/**
* Video generate (i2v)help / 分组不依赖密钥;长任务需视频 E2E + DashScope。
*/
describe("e2e: video generate (i2v)", () => {
test("video 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["video"]);
expect(exitCode, stderr).toBe(0);
expect(`${stdout}\n${stderr}`).toMatch(/video|generate|edit|ref|task|download/i);
});
test("video generate --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["video", "generate", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/generate|--prompt|--image|model/i);
});
});
describe.skipIf(!isBailianE2EVideoEnabled() || !isDashScopeE2EReady())(
"e2e: video generate (i2v)DashScope 视频)",
() => {
test("video generate 缺少 --prompt 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli([
...cliTimeoutPrefix(),
"video",
"generate",
"--model",
"happyhorse-1.1-i2v",
"--image",
"https://example.com/placeholder.png",
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--prompt|Usage:/i);
});
test("video generate --dry-run无 --image仅输出 requestt2v 路径不调上传)", async () => {
const { stdout, stderr, exitCode } = await runCli([
...cliTimeoutPrefix(),
"video",
"generate",
"--dry-run",
"--model",
"happyhorse-1.1-t2v",
"--prompt",
"干跑无图",
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ request?: { input?: { prompt?: string; media?: unknown } } }>(
stdout,
);
expect(data.request?.input?.prompt).toBe("干跑无图");
expect(data.request?.input?.media).toBeUndefined();
});
test("【happyhorse-1.1-i2v】图片生成视频", async () => {
const outDir = makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url));
const png = join(outDir, "e2e-gen.png");
const gen = await runCli([
"image",
"generate",
"--model",
"qwen-image-2.0",
"--prompt",
"一只简笔画小猫,白底",
"--out-dir",
outDir,
"--out-prefix",
"e2e-gen",
"--non-interactive",
"--output",
"json",
]);
expect(gen.exitCode, gen.stderr).toBe(0);
const genData = parseStdoutJson<{ saved?: string[] }>(gen.stdout);
const imagePath = genData.saved?.[0] ?? png;
const { stdout, stderr, exitCode } = await runCli([
...cliTimeoutPrefix(),
"video",
"generate",
"--model",
"happyhorse-1.1-i2v",
"--image",
imagePath,
"--prompt",
"镜头缓慢推进,小猫微微动一下",
"--download",
join(outDir, "e2e-video-i2v.mp4"),
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ status?: string; video_url?: string; saved?: string }>(stdout);
expect(data.status).toBe("SUCCEEDED");
expect(data.video_url?.startsWith("https://")).toBe(true);
}, 3_600_000);
},
);
@@ -1,108 +0,0 @@
import { join } from "node:path";
import { describe, expect, test } from "vite-plus/test";
import {
cliTimeoutPrefix,
e2eLabelFromMetaUrl,
isBailianE2EVideoEnabled,
isDashScopeE2EReady,
makeE2eOutputDir,
parseStdoutJson,
runCli,
} from "./helpers.ts";
/**
* Video ref (r2v)help / 分组不依赖密钥;参考生成需视频 E2E + DashScope。
*/
describe("e2e: video ref (r2v)", () => {
test("video 分组展示子命令帮助且成功退出", async () => {
const { stdout, stderr, exitCode } = await runCli(["video"]);
expect(exitCode, stderr).toBe(0);
expect(`${stdout}\n${stderr}`).toMatch(/video|generate|edit|ref|task|download/i);
});
test("video ref --help 正常退出", async () => {
const { stderr, exitCode } = await runCli(["video", "ref", "--help"]);
expect(exitCode, stderr).toBe(0);
expect(stderr).toMatch(/ref|--prompt|--image|model/i);
});
});
describe.skipIf(!isBailianE2EVideoEnabled() || !isDashScopeE2EReady())(
"e2e: video ref (r2v)DashScope 视频)",
() => {
test("video ref 缺少 --prompt 时打印子命令帮助并退出 (0)", async () => {
const { stderr, exitCode } = await runCli([
...cliTimeoutPrefix(),
"video",
"ref",
"--model",
"happyhorse-1.1-r2v",
"--image",
"https://example.com/x.png",
"--non-interactive",
]);
expect(exitCode).toBe(0);
expect(stderr).toMatch(/--prompt|Usage:/i);
});
test("video ref 缺少 --image 与 --ref-video 时退出为用法错误 (2)", async () => {
const { stderr, exitCode } = await runCli([
...cliTimeoutPrefix(),
"video",
"ref",
"--model",
"happyhorse-1.1-r2v",
"--prompt",
"仅有描述无素材",
"--non-interactive",
]);
expect(exitCode).toBe(2);
expect(stderr).toMatch(/--image|ref-video|At least one|required/i);
});
test("【happyhorse-1.1-r2v】视频参考生成", async () => {
const outDir = makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url));
const gen = await runCli([
"image",
"generate",
"--model",
"qwen-image-2.0",
"--prompt",
"一片绿色的树叶,白底",
"--out-dir",
outDir,
"--out-prefix",
"e2e-gen",
"--non-interactive",
"--output",
"json",
]);
expect(gen.exitCode, gen.stderr).toBe(0);
const genData = parseStdoutJson<{ saved?: string[] }>(gen.stdout);
const imagePath = genData.saved?.[0];
expect(imagePath).toBeTruthy();
const { stdout, stderr, exitCode } = await runCli([
...cliTimeoutPrefix(),
"video",
"ref",
"--model",
"happyhorse-1.1-r2v",
"--prompt",
"图1在画面中心轻微晃动",
"--image",
imagePath!,
"--download",
join(outDir, "e2e-video-r2v.mp4"),
"--non-interactive",
"--output",
"json",
]);
expect(exitCode, stderr).toBe(0);
const data = parseStdoutJson<{ status?: string; video_url?: string }>(stdout);
expect(data.status).toBe("SUCCEEDED");
expect(data.video_url?.startsWith("https://")).toBe(true);
}, 3_600_000);
},
);
+61
View File
@@ -0,0 +1,61 @@
const ping = {
description: {
"en-US": "Ping the Command Pack fixture",
"zh-CN": "调用 Command Pack 测试命令",
},
auth: "none",
flags: {
message: {
type: "string",
valueHint: "<text>",
required: true,
description: "Message returned by the fixture",
},
},
usageArgs: "--message <text>",
exampleArgs: ['--message "hello"'],
async run(ctx) {
process.stdout.write(`command-pack:${ctx.flags.message}\n`);
},
};
const credential = {
description: "Read an API key through the Command Pack host adapter",
auth: "apiKey",
async run(ctx) {
const apiKey = ctx.credentials.apiKey();
process.stdout.write(`credential-source:${apiKey.source}\n`);
},
};
const credentialDenied = {
description: "Verify credential access also requires command auth",
auth: "none",
async run(ctx) {
ctx.credentials.apiKey();
},
};
const output = {
description: "Exercise the Command Pack output helper",
auth: "none",
async run(ctx) {
ctx.output.result({ source: "command-pack", ok: true }, { text: "command-pack-output" });
},
};
const fail = {
description: "Exercise the Command Pack semantic error helper",
auth: "none",
async run(ctx) {
throw ctx.errors.usage("Command Pack fixture usage error.", "Use agent fail only in tests.");
},
};
export default {
"agent credential": credential,
"agent credential-denied": credentialDenied,
"agent fail": fail,
"agent output": output,
"agent ping": ping,
};
+12
View File
@@ -0,0 +1,12 @@
{
"name": "@ali/bailian-plugin-agent",
"version": "0.0.0-test",
"private": true,
"type": "module",
"bailianCli": {
"type": "command-pack",
"apiVersion": 1,
"entry": "./commands.mjs",
"minCliVersion": "1.7.0"
}
}
+73
View File
@@ -0,0 +1,73 @@
import { readFileSync } from "node:fs";
import { join } from "node:path";
import { credentialFlagDefs, GLOBAL_FLAGS, type AnyCommand } from "bailian-cli-core";
import { monorepoRoot } from "e2e/monorepo-root";
import { describe, expect, test } from "vite-plus/test";
import { commands } from "../src/commands.ts";
const repositoryRoot = monorepoRoot();
const installGuide = readFileSync(join(repositoryRoot, "INSTALL.md"), "utf8");
const cliPackage = JSON.parse(
readFileSync(join(repositoryRoot, "packages/cli/package.json"), "utf8"),
) as {
engines?: { node?: string };
};
function toFlagName(key: string): string {
return `--${key.replace(/[A-Z]/g, (letter) => `-${letter.toLowerCase()}`)}`;
}
function findDocumentedCommand(snippet: string): {
commandPath?: string;
command?: AnyCommand;
} {
const argumentText = snippet.slice("bl ".length).trim();
const commandPath = Object.keys(commands)
.sort((leftPath, rightPath) => rightPath.length - leftPath.length)
.find((candidatePath) => {
return argumentText === candidatePath || argumentText.startsWith(`${candidatePath} `);
});
return commandPath ? { commandPath, command: commands[commandPath] } : {};
}
function documentedCommandSnippets(): string[] {
const fencedCommands = installGuide
.split("\n")
.map((line) => line.trim())
.filter((line) => line.startsWith("bl "));
const inlineCommands = Array.from(installGuide.matchAll(/`(bl [^`\n]+)`/g), (match) => match[1]);
return [...new Set([...fencedCommands, ...inlineCommands])];
}
describe("INSTALL.md", () => {
test("发布包 Node.js 要求与安装文档一致", () => {
const nodeEngine = cliPackage.engines?.node;
expect(nodeEngine).toMatch(/^>=\d+\.\d+\.\d+$/);
expect(installGuide).toContain(`要求 **≥ ${nodeEngine?.slice(2)}**`);
});
test("示例只使用当前命令支持的 flags", () => {
for (const snippet of documentedCommandSnippets()) {
const { commandPath, command } = findDocumentedCommand(snippet);
const argumentText = snippet.slice("bl ".length).trim();
if (!commandPath || !command) {
expect(argumentText, `INSTALL.md 中存在未知命令:${snippet}`).toMatch(/^--/);
}
const supportedFlags = {
...GLOBAL_FLAGS,
...(command ? credentialFlagDefs(command) : {}),
...command?.flags,
};
const supportedFlagNames = new Set(Object.keys(supportedFlags).map(toFlagName));
const usedFlagNames = Array.from(snippet.matchAll(/--[a-z0-9-]+/g), (match) => match[0]);
const unsupportedFlagNames = usedFlagNames.filter(
(flagName) => !supportedFlagNames.has(flagName),
);
expect(unsupportedFlagNames, `INSTALL.md 命令使用了未声明的 flag${snippet}`).toEqual([]);
}
});
});
+4 -2
View File
@@ -1,7 +1,8 @@
/**
* 子进程执行 CLIspawn node main.ts解析 stdout。
* 子进程执行 CLIspawn 仓库本地 tsx main.ts解析 stdout。
*/
import { spawn } from "node:child_process";
import { resolveTsxBin } from "./paths.mjs";
import { truncateLog, extractError, isRateLimitFailure } from "./parsers.mjs";
import { captureTraceIdsFromText, enrichTraceIdsAsync } from "./trace-ids.mjs";
@@ -51,12 +52,13 @@ export function executeSingleCli(ctx) {
parseStdout,
readFileOptional,
asrOutPath,
TSX_BIN = resolveTsxBin(),
} = ctx;
const startedAt = Date.now();
return new Promise((resolve) => {
const child = spawn("node", [MAIN_TS, ...stressCliArgs(cliArgs)], {
const child = spawn(TSX_BIN, [MAIN_TS, ...stressCliArgs(cliArgs)], {
cwd: CLI_PACKAGE,
env: process.env,
stdio: ["ignore", "pipe", "pipe"],
@@ -6,7 +6,7 @@ import { join } from "node:path";
import { execFile } from "node:child_process";
import { promisify } from "node:util";
import { DEFAULT_CLI_PACKAGE, MONOREPO_ROOT, resolveMainTs } from "./paths.mjs";
import { DEFAULT_CLI_PACKAGE, MONOREPO_ROOT, resolveMainTs, resolveTsxBin } from "./paths.mjs";
import { parseStressArgv, optFrom } from "./argv-parse.mjs";
import { resolveStressCountAndConcurrency } from "./stress-config.mjs";
import { SubmissionRateLimiter } from "./rate-limit.mjs";
@@ -38,6 +38,7 @@ export function defineStressTarget(config) {
const globals = ctx?.globals ?? {};
const CLI_PACKAGE = optFrom(ARGV, "CLI_PACKAGE") || DEFAULT_CLI_PACKAGE;
const MAIN_TS = resolveMainTs(CLI_PACKAGE);
const TSX_BIN = resolveTsxBin();
const canonical = ctx?.canonicalTarget ?? config.canonical;
const {
@@ -142,9 +143,9 @@ export function defineStressTarget(config) {
return stressExit(ctx, 1);
}
try {
await execFileAsync("node", ["--version"], { encoding: "utf8" });
await execFileAsync(TSX_BIN, ["--version"], { encoding: "utf8" });
} catch {
console.error("未找到 node。");
console.error("未找到仓库本地 tsx请先运行 pnpm install。");
return stressExit(ctx, 1);
}
@@ -177,6 +178,7 @@ export function defineStressTarget(config) {
return executeSingleCli({
MAIN_TS,
CLI_PACKAGE,
TSX_BIN,
TIMEOUT_MS,
MAX_LOG_CAPTURE,
index,
@@ -97,7 +97,6 @@ export async function ensurePrerequisites(ctx) {
"压测前置语音样本,用于语音识别链路。",
"--out",
outAudio,
"--non-interactive",
"--output",
"json",
];
@@ -137,7 +136,6 @@ export async function ensurePrerequisites(ctx) {
fixturesDir,
"--out-prefix",
"stress-setup-image",
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -187,7 +185,6 @@ export async function ensurePrerequisites(ctx) {
"5",
"--download",
downloadPath,
"--non-interactive",
"--output",
"json",
"--timeout",
+2 -2
View File
@@ -78,7 +78,7 @@ export function parseImageResult(stdout) {
const ids = data.task_ids ?? [data.task_id];
return {
ok: false,
error: `仅返回 task_id未等待生成完成: ${ids.join(", ")}。请勿使用 --no-wait或检查 ~/.bailian/config.json 是否开启 async`,
error: `仅返回 task_id未等待生成完成: ${ids.join(", ")}。请勿使用 --async或检查调用参数是否开启 async`,
};
}
return { ok: false, error: "JSON 中无 urls / saved 字段(可能生成未完成)" };
@@ -169,7 +169,7 @@ export function parseVideoResult(stdout) {
const ids = taskIds ?? [taskId];
return {
ok: false,
error: `仅返回 task_id未等待生成完成: ${ids.join(", ")}。请勿使用 --no-wait或检查 ~/.bailian/config.json 是否开启 async`,
error: `仅返回 task_id未等待生成完成: ${ids.join(", ")}。请勿使用 --async或检查调用参数是否开启 async`,
};
}
return { ok: false, error: "JSON 中无 video_url / saved 字段(可能生成未完成)" };
+16 -1
View File
@@ -16,7 +16,22 @@ export const DEFAULT_CLI_PACKAGE = join(STRESS_ROOT, "..", "..");
/** monorepo 根目录 */
export const MONOREPO_ROOT = join(DEFAULT_CLI_PACKAGE, "..", "..");
/** CLI 入口 main.tsts-node 或直接 node ts 由项目脚本决定 */
/** CLI 入口 main.ts由仓库本地 tsx 执行 */
export function resolveMainTs(cliPackage = DEFAULT_CLI_PACKAGE) {
return join(cliPackage, "src", "main.ts");
}
/** monorepo 本地 bin 路径,避免 `pnpm run` 生命周期日志污染 stdout */
export function resolveLocalBin(name) {
return join(
MONOREPO_ROOT,
"node_modules",
".bin",
process.platform === "win32" ? `${name}.cmd` : name,
);
}
/** tsx 可执行文件路径 */
export function resolveTsxBin() {
return resolveLocalBin("tsx");
}
@@ -59,7 +59,6 @@ export async function generateCombinedFixtures({ suiteRoot, cliPackage }) {
"压测前置语音样本,用于语音识别链路。",
"--out",
outAudio,
"--non-interactive",
"--output",
"json",
],
@@ -95,7 +94,6 @@ export async function generateCombinedFixtures({ suiteRoot, cliPackage }) {
fixturesDir,
"--out-prefix",
"stress-setup-image",
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -139,7 +137,6 @@ export async function generateCombinedFixtures({ suiteRoot, cliPackage }) {
"5",
"--download",
downloadPath,
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -52,7 +52,6 @@ export const runStress = defineStressTarget({
prompt,
"--out-dir",
runDir,
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -95,7 +95,6 @@ export const runStress = defineStressTarget({
prompt,
"--out-dir",
runDir,
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -41,7 +41,6 @@ export const runStress = defineStressTarget({
String(POLL_INTERVAL),
"--out",
join(runDir, "asr-result.json"),
"--non-interactive",
"--timeout",
String(CLI_TIMEOUT_SEC),
"--language",
@@ -45,7 +45,6 @@ export const runStress = defineStressTarget({
prompt,
"--out",
`${runDir}/audio_${String(index + 1).padStart(3, "0")}.mp3`,
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -37,7 +37,6 @@ export const runStress = defineStressTarget({
MODEL,
"--message",
prompt,
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -64,7 +64,6 @@ export const runStress = defineStressTarget({
join(runDir, `edited_${String(index + 1).padStart(3, "0")}.mp4`),
"--duration",
String(extraParams.DURATION),
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -66,7 +66,6 @@ export const runStress = defineStressTarget({
join(runDir, `video_${String(index + 1).padStart(3, "0")}.mp4`),
"--duration",
String(extraParams.DURATION),
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -66,7 +66,6 @@ export const runStress = defineStressTarget({
join(runDir, `ref_${String(index + 1).padStart(3, "0")}.mp4`),
"--duration",
String(extraParams.DURATION),
"--non-interactive",
"--output",
"json",
"--timeout",
@@ -79,7 +79,6 @@ export const runStress = defineStressTarget({
join(runDir, `video_${String(index + 1).padStart(3, "0")}.mp4`),
"--duration",
String(extraParams.DURATION),
"--non-interactive",
"--output",
"json",
"--timeout",
-1
View File
@@ -5,7 +5,6 @@
"moduleDetection": "force",
"module": "nodenext",
"moduleResolution": "nodenext",
"customConditions": ["@bailian-cli/source"],
"resolveJsonModule": true,
"types": ["node"],
"strict": true,
+1 -1
View File
@@ -2,7 +2,7 @@ import { defineConfig } from "vite-plus";
export default defineConfig({
test: {
globalSetup: "./tests/e2e/global-setup.ts",
globalSetup: "../e2e/src/global-setup.ts",
testTimeout: 60_000,
hookTimeout: 60_000,
},
+7 -4
View File
@@ -1,6 +1,6 @@
{
"name": "bailian-cli-commands",
"version": "1.5.0",
"version": "1.17.0",
"description": "Command library for bailian-cli products (knowledge, memory, media, …). See https://www.npmjs.com/package/bailian-cli for usage.",
"homepage": "https://bailian.console.aliyun.com/cli",
"bugs": {
@@ -20,8 +20,8 @@
"types": "./dist/index.d.mts",
"exports": {
".": {
"@bailian-cli/source": "./src/index.ts",
"default": "./dist/index.mjs"
"types": "./src/index.ts",
"default": "./src/index.ts"
},
"./package.json": "./package.json"
},
@@ -40,19 +40,22 @@
"check": "vp check"
},
"dependencies": {
"@openagentpack/sdk": "0.3.2",
"bailian-cli-core": "workspace:*",
"bailian-cli-runtime": "workspace:*",
"boxen": "catalog:",
"chalk": "catalog:",
"smol-toml": "catalog:",
"yaml": "catalog:"
},
"devDependencies": {
"@types/node": "catalog:",
"@typescript/native-preview": "7.0.0-dev.20260328.1",
"e2e": "workspace:*",
"typescript": "^6.0.2",
"vite-plus": "0.1.22"
},
"engines": {
"node": ">=22.12.0"
"node": ">=18.17.0"
}
}
@@ -1,25 +1,22 @@
import {
analyzeIntent,
buildDocLink,
type Config,
defineCommand,
detectOutputFormat,
type GetModelsOptions,
type GlobalFlags,
getModels,
type IntentProfile,
isInteractive,
maybeSyncWikiData,
type PipelineStep,
type RecommendedModel,
type RecommendResult,
rankModels,
recallSemantic,
SEMANTIC_TOP_K,
} from "bailian-cli-core";
import boxen from "boxen";
import chalk, { Chalk, type ChalkInstance } from "chalk";
import { emitBare, emitResult } from "bailian-cli-runtime";
import { createSpinner } from "bailian-cli-runtime";
import { failIfMissing, promptText, cmdUsage } from "bailian-cli-runtime";
import { createSpinner, emitBare, emitResult, supportsColor } from "bailian-cli-runtime";
function formatContextWindow(tokens: number): string {
if (tokens >= 1_000_000)
@@ -59,8 +56,13 @@ const PREFERENCE_MODE_LABELS: Record<string, string> = {
alternative: "Alternative",
};
function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
function chalkFor(out: NodeJS.WriteStream): ChalkInstance {
return supportsColor(out) ? chalk : new Chalk({ level: 0 });
}
function formatIntentSummary(intent: IntentProfile): string {
const colorize = chalkFor(process.stdout);
const useColor = supportsColor(process.stdout);
const lines: string[] = [];
lines.push(colorize.cyan.bold("Intent Analysis"));
@@ -125,15 +127,20 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
return boxen(lines.join("\n"), {
padding: { top: 0, bottom: 0, left: 1, right: 1 },
margin: { top: 0, bottom: 0, left: 1, right: 0 },
borderColor: "cyan",
borderColor: useColor ? "cyan" : undefined,
borderStyle: "round",
dimBorder: true,
dimBorder: useColor,
});
}
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];
function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
function renderCard(
rec: RecommendedModel,
index: number,
colorize: ChalkInstance,
useColor: boolean,
): string {
const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
const colorFn = labelColors[index] ?? colorize.white.bold;
const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;
@@ -169,19 +176,21 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
return boxen(lines.join("\n"), {
padding: { top: 0, bottom: 0, left: 1, right: 1 },
margin: { top: 0, bottom: 0, left: 1, right: 0 },
borderColor: "gray",
borderColor: useColor ? "gray" : undefined,
borderStyle: "round",
dimBorder: true,
dimBorder: useColor,
});
}
function formatSingleResult(results: RecommendedModel[], noColor: boolean): string {
const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
return results.map((rec, idx) => renderCard(rec, idx, colorize)).join("\n");
function formatSingleResult(results: RecommendedModel[]): string {
const colorize = chalkFor(process.stdout);
const useColor = supportsColor(process.stdout);
return results.map((rec, idx) => renderCard(rec, idx, colorize, useColor)).join("\n");
}
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
function formatPipelineResult(summary: string, steps: PipelineStep[]): string {
const colorize = chalkFor(process.stdout);
const useColor = supportsColor(process.stdout);
const lines: string[] = [];
lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);
@@ -196,17 +205,19 @@ function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: b
}
lines.push("");
lines.push(recommendations.map((rec, idx) => renderCard(rec, idx, colorize)).join("\n"));
lines.push(
recommendations.map((rec, idx) => renderCard(rec, idx, colorize, useColor)).join("\n"),
);
}
return lines.join("\n");
}
function formatResult(result: RecommendResult, noColor: boolean): string {
function formatResult(result: RecommendResult): string {
if (result.type === "pipeline") {
return formatPipelineResult(result.summary, result.steps, noColor);
return formatPipelineResult(result.summary, result.steps);
}
return formatSingleResult(result.recommendations, noColor);
return formatSingleResult(result.recommendations);
}
function isEmptyResult(result: RecommendResult): boolean {
@@ -215,78 +226,131 @@ function isEmptyResult(result: RecommendResult): boolean {
}
export default defineCommand({
description:
"Recommend the best models for your use case (intent analysis → candidate recall → LLM ranking)",
usageArgs: "<prompt> [flags]",
options: [
{
flag: "--message <text>",
description: "Describe your requirements (alternative to positional prompt)",
description: {
"en-US":
"Recommend the best models for your use case (intent analysis → candidate recall → LLM ranking)",
"zh-CN": "为你的使用场景推荐最佳模型(意图分析 → 候选召回 → LLM 排序)",
},
auth: "apiKey",
usageArgs: "--message <text> [flags]",
flags: {
message: {
type: "string",
valueHint: "<text>",
description: { "en-US": "Describe your requirements", "zh-CN": "描述你的需求" },
required: true,
},
{
flag: "--dry-run",
description: "Show intent analysis and candidate list without LLM ranking",
},
{
flag: "--output <format>",
description: "Output format: text (default in TTY), json, yaml",
},
],
},
exampleArgs: [
'--message "I need a visual-understanding chatbot"',
'--message "Build an Agent that auto-generates animations"',
'--message "Legal contract review, high precision required"',
'--message "Low-cost high-concurrency online customer service" --output json',
'--message "Long document summarization" --dry-run',
" # Interactive input",
{
"en-US": '--message "I need a visual-understanding chatbot"',
"zh-CN": '--message "我需要一个能够理解图片的聊天机器人"',
},
{
"en-US": '--message "Build an Agent that auto-generates animations"',
"zh-CN": '--message "构建一个可以自动生成动画的智能体"',
},
{
"en-US": '--message "Legal contract review, high precision required"',
"zh-CN": '--message "审查法律合同,要求高准确率"',
},
{
"en-US": '--message "Low-cost high-concurrency online customer service" --output text',
"zh-CN": '--message "低成本、高并发的在线客服" --output text',
},
{
"en-US": '--message "Long document summarization" --dry-run',
"zh-CN": '--message "长文档摘要" --dry-run',
},
],
async run(config: Config, flags: GlobalFlags) {
const positional = ((flags as Record<string, unknown>)._positional as string[]) ?? [];
let userInput = (flags.message as string) || positional.join(" ");
if (!userInput.trim()) {
if (isInteractive({ nonInteractive: config.nonInteractive })) {
const hint = await promptText({ message: "Describe your requirement:" });
if (!hint) {
process.stderr.write("Cancelled.\n");
process.exit(1);
}
userInput = hint;
} else {
failIfMissing("message", cmdUsage(config, '"your requirement"'));
}
}
async run(ctx) {
const { settings, flags } = ctx;
const userInput = flags.message;
const top = 3;
const format = detectOutputFormat(config.output);
// Keep the local wiki catalog fresh: throttled (12h) version check against
// the remote manifest, silently replaces data when a newer version exists.
// Never throws — a sync failure must not block recommendation.
await maybeSyncWikiData();
// Default to JSON for structured output; render boxen cards only when the
// user explicitly asked for text output.
const format = settings.outputExplicit ? detectOutputFormat(settings.output) : "json";
// Stage 1: Intent Analysis + Model Loading (parallel)
const spinner = createSpinner("Agent: Loading model data & analyzing intent...");
spinner.start();
const modelsOptions: GetModelsOptions = {
onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
onPrepareStart: () => {},
};
process.stderr.write("Analyzing your request...\n");
const [allModels, intent] = await Promise.all([
getModels(config, modelsOptions),
analyzeIntent(config, userInput),
]);
// Track individual completions for spinner updates
let modelsReady = false;
let intentReady = false;
const getModelsPromise = getModels(settings, modelsOptions).then((result) => {
modelsReady = true;
if (!intentReady) {
spinner.update("Agent: Model data loaded, analyzing intent...");
}
return result;
});
const analyzeIntentPromise = analyzeIntent(ctx.client, userInput).then((result) => {
intentReady = true;
if (!modelsReady) {
spinner.update("Agent: Intent analyzed, loading model data...");
}
return result;
});
const [allModels, intent] = await Promise.all([getModelsPromise, analyzeIntentPromise]);
spinner.stop();
if (intent.confidence === 0) {
process.stderr.write("Intent analysis timed out, using defaults...\n");
} else {
process.stderr.write("\n");
}
// Stage 2: Candidate Recall (semantic recall, auto-builds embeddings on first run)
const candidates = await recallSemantic(config, allModels, userInput, 50, intent);
spinner.update("Agent: Recalling candidates...");
spinner.start();
if (config.dryRun) {
const candidates = await recallSemantic(
ctx.client,
allModels,
userInput,
SEMANTIC_TOP_K,
intent,
);
spinner.stop();
if (settings.dryRun) {
emitResult(
{
userInput,
intent,
intent: {
taskSummary: intent.taskSummary,
scenarioHints: intent.scenarioHints,
complexity: intent.complexity,
inputModality: intent.inputModality,
outputModality: intent.outputModality,
requiredCapabilities: intent.requiredCapabilities,
budget: intent.budget,
qualityPreference: intent.qualityPreference,
modelPreference:
intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
segments: intent.segments,
semanticQuery: intent.semanticQuery,
},
candidateCount: candidates.length,
candidates: candidates.map(({ model, score }) => ({
candidates: candidates.map(({ model, score, hardScore, softScore }) => ({
model: model.model,
score,
hardScore,
softScore,
})),
top,
},
@@ -296,10 +360,10 @@ export default defineCommand({
}
// Stage 3: LLM Ranking
const spinner = createSpinner("Recommending best models...");
spinner.update("Agent: Ranking models...");
spinner.start();
const result = await rankModels(config, candidates, intent, userInput, top);
const result = await rankModels(ctx.client, candidates, intent, userInput, top);
spinner.stop();
@@ -323,6 +387,7 @@ export default defineCommand({
modelPreference:
intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
segments: intent.segments,
semanticQuery: intent.semanticQuery,
},
result,
candidates: candidates.length,
@@ -332,8 +397,8 @@ export default defineCommand({
return;
}
emitBare(formatIntentSummary(intent, config.noColor));
emitBare(formatIntentSummary(intent));
emitBare("");
emitBare(formatResult(result, config.noColor));
emitBare(formatResult(result));
},
});
+132 -62
View File
@@ -1,56 +1,129 @@
import {
defineCommand,
request,
requestJson,
appCompletionEndpoint,
UsageError,
appCompletionPath,
parseSSE,
detectOutputFormat,
type Config,
type GlobalFlags,
type AppCompletionRequest,
type AppStreamChunk,
type AppCompletionResponse,
} from "bailian-cli-core";
import { failIfMissing, cmdUsage } from "bailian-cli-runtime";
import { emitResult, emitBare } from "bailian-cli-runtime";
import { ansi, emitResult, emitBare } from "bailian-cli-runtime";
export default defineCommand({
description: "Call a Bailian application (agent or workflow)",
description: {
"en-US": "Call a Bailian application (agent or workflow)",
"zh-CN": "调用百炼应用(智能体或工作流)",
},
auth: "apiKey",
usageArgs: "--app-id <id> --prompt <text> [flags]",
options: [
{ flag: "--app-id <id>", description: "Application ID (required)", required: true },
{ flag: "--prompt <text>", description: "Input prompt text", required: true },
{
flag: "--image <url>",
description: "Image URL(s) to pass to the app (repeatable)",
type: "array",
flags: {
appId: {
type: "string",
valueHint: "<id>",
description: { "en-US": "Application ID (required)", "zh-CN": "应用 ID必填" },
required: true,
},
{ flag: "--file-id <id>", description: "Pre-uploaded file ID(s) (repeatable)", type: "array" },
{ flag: "--session-id <id>", description: "Session ID for multi-turn conversation" },
{ flag: "--stream", description: "Stream response (default: on in TTY)" },
{ flag: "--pipeline-ids <ids>", description: "Knowledge base pipeline IDs (comma-separated)" },
{ flag: "--memory-id <id>", description: "Memory ID for long-term memory" },
{ flag: "--biz-params <json>", description: "Business parameters JSON (workflow variables)" },
{ flag: "--has-thoughts", description: "Show agent thinking process" },
],
prompt: {
type: "string",
valueHint: "<text>",
description: { "en-US": "Input prompt text", "zh-CN": "输入提示词文本" },
required: true,
},
image: {
type: "array",
valueHint: "<url>",
description: {
"en-US": "Image URL(s) to pass to the app (repeatable)",
"zh-CN": "传给应用的图片 URL可重复",
},
},
fileId: {
type: "array",
valueHint: "<id>",
description: {
"en-US": "Pre-uploaded file ID(s) (repeatable)",
"zh-CN": "已上传的文件 ID可重复",
},
},
sessionId: {
type: "string",
valueHint: "<id>",
description: {
"en-US": "Session ID for multi-turn conversation",
"zh-CN": "多轮对话的 Session ID",
},
},
stream: {
type: "switch",
description: {
"en-US": "Stream response (default: on in TTY)",
"zh-CN": "流式输出响应TTY 中默认开启)",
},
},
pipelineIds: {
type: "string",
valueHint: "<ids>",
description: {
"en-US": "Knowledge base pipeline IDs (comma-separated)",
"zh-CN": "知识库 Pipeline ID以逗号分隔",
},
},
memoryId: {
type: "string",
valueHint: "<id>",
description: {
"en-US": "Memory ID for long-term memory",
"zh-CN": "长期记忆使用的 Memory ID",
},
},
bizParams: {
type: "string",
valueHint: "<json>",
description: {
"en-US": "Business parameters JSON (workflow variables)",
"zh-CN": "业务参数 JSON工作流变量",
},
},
hasThoughts: {
type: "switch",
description: { "en-US": "Show agent thinking process", "zh-CN": "显示智能体思考过程" },
},
},
exampleArgs: [
'--app-id abc123 --prompt "Hello"',
'--app-id abc123 --prompt "Describe this image" --image https://example.com/photo.jpg',
'--app-id abc123 --prompt "Analyze the image" --image img1.jpg --image img2.jpg',
'--app-id abc123 --prompt "Continue" --session-id sess_xxx --stream',
'--app-id abc123 --prompt "Search for materials" --pipeline-ids pipe1,pipe2',
'--app-id abc123 --prompt "Start" --biz-params \'{"key":"value"}\'',
{
"en-US": '--app-id abc123 --prompt "Hello"',
"zh-CN": '--app-id abc123 --prompt "你好"',
},
{
"en-US":
'--app-id abc123 --prompt "Describe this image" --image https://example.com/photo.jpg',
"zh-CN": '--app-id abc123 --prompt "描述这张图片" --image https://example.com/photo.jpg',
},
{
"en-US": '--app-id abc123 --prompt "Analyze the image" --image img1.jpg --image img2.jpg',
"zh-CN": '--app-id abc123 --prompt "分析这些图片" --image img1.jpg --image img2.jpg',
},
{
"en-US": '--app-id abc123 --prompt "Continue" --session-id sess_xxx --stream',
"zh-CN": '--app-id abc123 --prompt "继续" --session-id sess_xxx --stream',
},
{
"en-US": '--app-id abc123 --prompt "Search for materials" --pipeline-ids pipe1,pipe2',
"zh-CN": '--app-id abc123 --prompt "搜索资料" --pipeline-ids pipe1,pipe2',
},
{
"en-US": '--app-id abc123 --prompt "Start" --biz-params \'{"key":"value"}\'',
"zh-CN": '--app-id abc123 --prompt "开始" --biz-params \'{"key":"value"}\'',
},
],
async run(config: Config, flags: GlobalFlags) {
const appId = flags.appId as string;
if (!appId) failIfMissing("app-id", cmdUsage(config, "--app-id <id> --prompt <text>"));
async run(ctx) {
const { settings, flags } = ctx;
const appId = flags.appId;
const prompt = flags.prompt;
const prompt = flags.prompt as string;
if (!prompt) failIfMissing("prompt", cmdUsage(config, "--app-id <id> --prompt <text>"));
const shouldStream =
flags.stream === true || (flags.stream === undefined && process.stdout.isTTY);
const format = detectOutputFormat(config.output);
const shouldStream = flags.stream || process.stdout.isTTY;
const format = detectOutputFormat(settings.output);
const body: AppCompletionRequest = {
input: { prompt },
@@ -60,17 +133,17 @@ export default defineCommand({
};
if (flags.sessionId) {
body.input.session_id = flags.sessionId as string;
body.input.session_id = flags.sessionId;
}
// Pass image URLs via image_list
const imageUrls = flags.image as string[] | undefined;
const imageUrls = flags.image;
if (imageUrls && imageUrls.length > 0) {
body.input.image_list = imageUrls;
}
// Pass pre-uploaded file IDs
const fileIds = flags.fileId as string[] | undefined;
const fileIds = flags.fileId;
if (fileIds && fileIds.length > 0) {
body.input.file_ids = fileIds;
}
@@ -80,7 +153,7 @@ export default defineCommand({
}
if (flags.pipelineIds) {
const ids = (flags.pipelineIds as string)
const ids = flags.pipelineIds
.split(",")
.map((s) => s.trim())
.filter(Boolean);
@@ -88,29 +161,26 @@ export default defineCommand({
}
if (flags.memoryId) {
body.parameters!.memory_id = flags.memoryId as string;
body.parameters!.memory_id = flags.memoryId;
}
if (flags.bizParams) {
try {
body.input.biz_params = JSON.parse(flags.bizParams as string);
body.input.biz_params = JSON.parse(flags.bizParams);
} catch {
process.stderr.write("Error: --biz-params must be valid JSON\n");
process.exit(1);
throw new UsageError("--biz-params must be valid JSON");
}
}
if (config.dryRun) {
emitResult({ endpoint: appCompletionEndpoint(config.baseUrl, appId), request: body }, format);
if (settings.dryRun) {
emitResult({ endpoint: ctx.client.url(appCompletionPath(appId)), request: body }, format);
return;
}
const url = appCompletionEndpoint(config.baseUrl, appId);
if (shouldStream) {
const headers: Record<string, string> = { "X-DashScope-SSE": "enable" };
const res = await request(config, {
url,
const res = await ctx.client.request({
path: appCompletionPath(appId),
method: "POST",
body,
headers,
@@ -120,8 +190,7 @@ export default defineCommand({
let fullText = "";
let sessionId = "";
const writesStreamingStdout = format === "text";
const dim = config.noColor ? "" : "\x1b[2m";
const reset = config.noColor ? "" : "\x1b[0m";
const stderrColor = ansi(process.stderr);
for await (const event of parseSSE(res)) {
if (event.data === "[DONE]") break;
@@ -143,13 +212,14 @@ export default defineCommand({
// Show thoughts if available
if (chunk.output?.thoughts && flags.hasThoughts) {
for (const t of chunk.output.thoughts) {
if (t.thought) process.stderr.write(`${dim}[Thinking] ${t.thought}${reset}\n`);
if (t.thought)
process.stderr.write(`${stderrColor.dim(`[Thinking] ${t.thought}`)}\n`);
if (t.action_name)
process.stderr.write(
`${dim}[Action] ${t.action_name}: ${t.action_input || ""}${reset}\n`,
`${stderrColor.dim(`[Action] ${t.action_name}: ${t.action_input || ""}`)}\n`,
);
if (t.observation)
process.stderr.write(`${dim}[Observation] ${t.observation}${reset}\n`);
process.stderr.write(`${stderrColor.dim(`[Observation] ${t.observation}`)}\n`);
}
}
} catch {
@@ -158,8 +228,8 @@ export default defineCommand({
}
// Show session_id for multi-turn conversation
if (sessionId && !config.quiet) {
process.stderr.write(`${dim}Session ID: ${sessionId}${reset}\n`);
if (sessionId && !settings.quiet) {
process.stderr.write(`${stderrColor.dim(`Session ID: ${sessionId}`)}\n`);
}
if (format === "json") {
@@ -168,15 +238,15 @@ export default defineCommand({
process.stdout.write("\n");
}
} else {
const response = await requestJson<AppCompletionResponse>(config, {
url,
const response = await ctx.client.requestJson<AppCompletionResponse>({
path: appCompletionPath(appId),
method: "POST",
body,
});
const text = response.output?.text ?? "";
if (config.quiet || format === "text") {
if (settings.quiet || format === "text") {
emitBare(text);
} else {
emitResult(response, format);
+33 -42
View File
@@ -1,53 +1,47 @@
import {
defineCommand,
callConsoleGateway,
resolveConsoleGatewayCredential,
detectOutputFormat,
type Config,
type GlobalFlags,
} from "bailian-cli-core";
import { defineCommand, detectOutputFormat } from "bailian-cli-core";
import { emitResult } from "bailian-cli-runtime";
const APP_LIST_API = "zeldaEasy.broadscope-bailian.app-control.list";
export default defineCommand({
description: "List Bailian applications",
skipDefaultApiKeySetup: true,
description: { "en-US": "List Bailian applications", "zh-CN": "列出百炼应用" },
auth: "console",
usageArgs: "[flags]",
options: [
{
flag: "--name <name>",
description: "Filter by app name (keyword search)",
flags: {
name: {
type: "string",
valueHint: "<name>",
description: {
"en-US": "Filter by app name (keyword search)",
"zh-CN": "按应用名称筛选(关键词搜索)",
},
},
{
flag: "--page <n>",
description: "Page number (default: 1)",
page: {
type: "number",
valueHint: "<n>",
description: { "en-US": "Page number (default: 1)", "zh-CN": "页码默认1" },
},
{
flag: "--page-size <n>",
description: "Results per page (default: 30)",
pageSize: {
type: "number",
valueHint: "<n>",
description: { "en-US": "Results per page (default: 30)", "zh-CN": "每页结果数默认30" },
},
{ flag: "--console-region <region>", description: "Console region" },
},
exampleArgs: [
"",
{
flag: "--console-site <site>",
description: "Console site: domestic, international",
},
{
flag: "--console-switch-agent <uid>",
description: "Switch agent UID",
type: "number",
"en-US": "--name customer service",
"zh-CN": "--name 客户服务",
},
"--page 2 --page-size 10",
"--output json",
],
exampleArgs: ["", "--name customer service", "--page 2 --page-size 10", "--output json"],
async run(config: Config, flags: GlobalFlags) {
const name = (flags.name as string) || "";
const pageNo = (flags.page as number) || 1;
const pageSize = (flags.pageSize as number) || 30;
const format = detectOutputFormat(config.output);
const credential = await resolveConsoleGatewayCredential(config);
async run(ctx) {
const { settings, flags } = ctx;
const name = flags.name || "";
const pageNo = flags.page || 1;
const pageSize = flags.pageSize || 30;
const format = detectOutputFormat(settings.output);
const data = {
reqDTO: {
@@ -60,15 +54,12 @@ export default defineCommand({
},
};
if (config.dryRun) {
emitResult({ api: APP_LIST_API, data, token: credential.token.slice(0, 8) + "..." }, format);
if (settings.dryRun) {
emitResult({ api: APP_LIST_API, data }, format);
return;
}
const result = (await callConsoleGateway(config, credential.token, {
api: APP_LIST_API,
data,
})) as any;
const result = await ctx.client.console<any>(APP_LIST_API, data);
const list: unknown[] = result?.data?.DataV2?.data?.data?.list ?? [];
const total: number = result?.data?.DataV2?.data?.data?.total ?? 0;
@@ -0,0 +1,79 @@
import { maskToken, type AuthStore, type Identity, type Settings } from "bailian-cli-core";
import { runConsoleLogin, resolveConsoleOrigin } from "./login-console.ts";
/** Read-only auth snapshot the config UI account widget renders. bl stores no
* user profile (name/avatar), so this exposes only which credential domains
* resolve, the console region/site, and a masked token. */
export interface AuthUiStatus {
authenticated: boolean;
methods: { apiKey: boolean; console: boolean; openapi: boolean };
primary: "console" | "apiKey" | "openapi" | null;
region?: string;
site?: "domestic" | "international";
masked?: string;
}
/**
* The auth capability surface the config UI is allowed to use. All `authStore`
* access is kept inside this module (commands/auth/**), which the lint boundary
* permits; commands/config/** consumes only this opaque bridge and never
* touches `authStore` directly.
*/
export interface AuthUiBridge {
status(): AuthUiStatus;
/** Start browser-based console login (fire-and-forget; UI polls status). */
startConsoleLogin(): void;
/** Clear all stored credentials. Returns whether anything changed. */
logout(): Promise<boolean>;
}
/** Build the bridge from a command context (identity/settings/authStore). */
export function makeAuthUiBridge(ctx: {
identity: Identity;
settings: Settings;
authStore: AuthStore;
}): AuthUiBridge {
const { identity, settings, authStore } = ctx;
return {
status() {
const a = authStore.describe();
const methods = { apiKey: !!a.apiKey, console: !!a.console, openapi: !!a.openapi };
let masked: string | undefined;
if (a.console) masked = maskToken(a.console.token);
else if (a.apiKey) masked = maskToken(a.apiKey.token);
else if (a.openapi) masked = maskToken(a.openapi.accessKeyId);
const primary = a.console ? "console" : a.apiKey ? "apiKey" : a.openapi ? "openapi" : null;
return {
authenticated: methods.apiKey || methods.console || methods.openapi,
methods,
primary,
region: a.console?.region,
site: a.console?.site,
masked,
};
},
startConsoleLogin() {
const origin = resolveConsoleOrigin(authStore.describe().console?.site);
// Mirror the CLI (`bl auth login --console`): request an api_key from the
// console only when one isn't already stored, so a first console login in
// the config UI also provisions the model api_key (not just access_token).
const hasApiKey = !!authStore.stored().apiKey;
// runConsoleLogin opens the browser and runs its own callback server
// (up to 15 min). We don't await it — the config UI polls the status
// endpoint to detect completion. Errors are logged, not surfaced.
void runConsoleLogin(
origin,
{ identity, settings, authStore },
{
needApiKey: !hasApiKey,
},
).catch((err: unknown) => {
const msg = err instanceof Error ? err.message : String(err);
process.stderr.write(`console login failed: ${msg}\n`);
});
},
logout() {
return authStore.logout("all");
},
};
}
@@ -0,0 +1,59 @@
import {
defineCommand,
detectOutputFormat,
generateCLIAccessToken,
type FlagsDef,
} from "bailian-cli-core";
import { emitResult } from "bailian-cli-runtime";
const FLAGS = {
accessKeyId: {
type: "string",
valueHint: "<id>",
description: { "en-US": "Alibaba Cloud Access Key ID", "zh-CN": "阿里云 Access Key ID" },
required: true,
},
accessKeySecret: {
type: "string",
valueHint: "<secret>",
description: {
"en-US": "Alibaba Cloud Access Key Secret",
"zh-CN": "阿里云 Access Key Secret",
},
required: true,
},
securityToken: {
type: "string",
valueHint: "<token>",
description: {
"en-US": "Alibaba Cloud STS Security Token to store (optional)",
"zh-CN": "要保存的阿里云 STS Security Token可选",
},
},
} satisfies FlagsDef;
export default defineCommand({
description: {
"en-US": "Generate a CLI access token using OpenAPI AK/SK",
"zh-CN": "使用 OpenAPI AK/SK 生成 CLI Access Token",
},
auth: "none",
usageArgs: "--access-key-id <id> --access-key-secret <secret> --security-token <token>",
flags: FLAGS,
exampleArgs: ["--access-key-id LTAIxxxxx --access-key-secret xxxxx --security-token <token>"],
async run(ctx) {
const { identity, settings, flags } = ctx;
const format = detectOutputFormat(settings.output);
const resp = await generateCLIAccessToken({
identity,
settings,
baseUrl: ctx.client.baseUrl,
accessKeyId: flags.accessKeyId,
accessKeySecret: flags.accessKeySecret,
securityToken: flags.securityToken || undefined,
});
emitResult(resp, format);
},
});
@@ -0,0 +1,99 @@
import {
BailianError,
ExitCode,
chatPath,
requestJson,
normalizeModelBaseUrl,
type AuthPersistPatch,
type AuthStore,
type Identity,
type Settings,
} from "bailian-cli-core";
interface ApiKeyLoginDeps {
identity: Identity;
settings: Settings;
authStore: AuthStore;
}
interface ApiKeyLoginProfile {
baseUrl: string;
persistBaseUrl?: string;
defaultTextModel?: string;
defaultVideoModel?: string;
defaultImageToVideoModel?: string;
defaultReferenceToVideoModel?: string;
defaultImageModel?: string;
persistPatch?: AuthPersistPatch;
}
const RETRY_DELAY_BASE_MS = 500;
function canRetry(error: unknown): boolean {
if (error instanceof BailianError) {
if (error.exitCode === ExitCode.NETWORK || error.exitCode === ExitCode.TIMEOUT) return true;
const status = error.api?.httpStatus;
return status === 401 || (status !== undefined && status >= 500);
}
if (error instanceof Error) {
return (
error.name === "AbortError" ||
error.name === "TimeoutError" ||
error.message.includes("timed out") ||
error.message === "fetch failed"
);
}
return false;
}
export async function validateAndPersistApiKey(
deps: ApiKeyLoginDeps,
key: string,
profile: ApiKeyLoginProfile,
): Promise<void> {
process.stderr.write("Testing key... ");
const httpDeps = { identity: deps.identity, settings: deps.settings };
const baseUrl = normalizeModelBaseUrl(profile.baseUrl);
const persistBaseUrl = profile.persistBaseUrl
? normalizeModelBaseUrl(profile.persistBaseUrl)
: undefined;
const validationModel = "qwen3.8-max";
const requestOpts = {
url: baseUrl + chatPath(),
method: "POST",
headers: { Authorization: `Bearer ${key}` },
timeout: Math.min(deps.settings.timeout, 30),
body: {
model: validationModel,
messages: [{ role: "user", content: "hi" }],
max_tokens: 1,
stream: false,
},
};
for (let attempt = 1; attempt <= 3; attempt++) {
try {
await requestJson<unknown>(httpDeps, requestOpts);
break;
} catch (error) {
if (attempt >= 3 || !canRetry(error)) {
process.stderr.write("Failed\n");
throw error;
}
const delayMs = RETRY_DELAY_BASE_MS * 2 ** (attempt - 1);
await new Promise((resolve) => setTimeout(resolve, delayMs));
}
}
process.stderr.write("Valid\n");
await deps.authStore.login({
...profile.persistPatch,
api_key: key,
base_url: persistBaseUrl,
default_text_model: profile.defaultTextModel,
default_video_model: profile.defaultVideoModel,
default_image_to_video_model: profile.defaultImageToVideoModel,
default_reference_to_video_model: profile.defaultReferenceToVideoModel,
default_image_model: profile.defaultImageModel,
});
}
@@ -1,20 +1,30 @@
import { execFile } from "node:child_process";
import { randomBytes } from "node:crypto";
import http from "node:http";
import {
BailianError,
ExitCode,
chatEndpoint,
getConfigPath,
readConfigFile,
requestJson,
writeConfigFile,
type Config,
type AuthPersistPatch,
type AuthStore,
type ConfigFile,
type Identity,
type Settings,
} from "bailian-cli-core";
import { listenLocalServer, openInBrowser } from "../shared/local-server.ts";
import { validateAndPersistApiKey } from "./login-api-key.ts";
/** 登录流程的能力面:身份(UA)、有效配置(timeout 等)、auth 域落盘。 */
export interface LoginDeps {
identity: Identity;
settings: Settings;
authStore: AuthStore;
}
const CONSOLE_LOGIN_TIMEOUT_MS = 15 * 60 * 1000;
const MAX_AUTH_CALLBACK_BODY = 65536;
// Regex for double newline (\r\n\r\n or \n\n); built via RegExp to avoid
// literal multi-line splitting in source.
const REGEX_DOUBLE_NEWLINE = new RegExp("\r\n\r\n|\n\n");
const CONSOLE_ORIGINS: Record<string, string> = {
domestic: "https://bailian.console.aliyun.com",
@@ -68,7 +78,7 @@ function parseAccessTokenFromMultipart(raw: string, boundaryValue: string): stri
for (let i = 1; i < segments.length; i++) {
const part = segments[i]!;
if (!/name\s*=\s*["'](?:access_token|accessToken)["']/i.test(part)) continue;
const sep = part.match(/\r\n\r\n|\n\n/);
const sep = part.match(REGEX_DOUBLE_NEWLINE);
if (!sep || sep.index === undefined) continue;
let value = part.slice(sep.index + sep[0].length);
value = value
@@ -351,96 +361,12 @@ async function extractCredentialsFromRequest(
}
function listenServerOnFreeLocalPort(server: http.Server): Promise<number> {
return new Promise((resolve, reject) => {
const onErr = (e: Error) => reject(e);
server.once("error", onErr);
server.listen({ port: 0, host: "127.0.0.1", exclusive: true }, () => {
server.off("error", onErr);
const addr = server.address();
if (!addr || typeof addr === "string") {
reject(new Error("Expected TCP socket address"));
return;
}
resolve(addr.port);
});
});
}
function openInBrowser(url: string): Promise<void> {
const platform = process.platform;
const cmd = platform === "darwin" ? "open" : platform === "win32" ? "cmd" : "xdg-open";
const args = platform === "win32" ? ["/c", "start", "", url] : [url];
return new Promise((resolve, reject) => {
execFile(cmd, args, { windowsHide: true }, (err) => {
if (err) reject(err);
else resolve();
});
});
}
const RETRY_DELAY_BASE_MS = 500;
function canRetry(err: unknown): boolean {
if (err instanceof BailianError) {
if (err.exitCode === ExitCode.NETWORK || err.exitCode === ExitCode.TIMEOUT) return true;
const status = err.api?.httpStatus;
return status === 401 || (status !== undefined && status >= 500);
}
if (err instanceof Error) {
return (
err.name === "AbortError" ||
err.name === "TimeoutError" ||
err.message.includes("timed out") ||
err.message === "fetch failed"
);
}
return false;
}
export async function validateAndPersistApiKey(
config: Config,
key: string,
baseUrl: string,
): Promise<void> {
process.stderr.write("Testing key... ");
const testConfig = { ...config, apiKey: key, baseUrl };
const requestOpts = {
url: chatEndpoint(testConfig.baseUrl),
method: "POST",
timeout: Math.min(config.timeout, 30),
body: {
model: "qwen3.7-max",
messages: [{ role: "user", content: "hi" }],
max_tokens: 1,
},
};
for (let attempt = 1; attempt <= 3; attempt++) {
try {
await requestJson<unknown>(testConfig, requestOpts);
break;
} catch (err) {
if (attempt >= 3 || !canRetry(err)) {
process.stderr.write("Failed\n");
throw new BailianError("API key validation failed", ExitCode.AUTH, "Invalid API key.", {
cause: err,
});
}
const delayMs = RETRY_DELAY_BASE_MS * 2 ** (attempt - 1);
await new Promise((resolve) => setTimeout(resolve, delayMs));
}
}
process.stderr.write("Valid\n");
const existing = readConfigFile() as Record<string, unknown>;
existing.api_key = key;
await writeConfigFile(existing);
return listenLocalServer(server);
}
export async function runConsoleLogin(
consoleOrigin: string,
config: Config,
deps: LoginDeps,
opts?: { needApiKey?: boolean },
): Promise<void> {
const state = randomBytes(16).toString("hex");
@@ -479,20 +405,27 @@ export async function runConsoleLogin(
if (hasConfig || apiKey) {
try {
if (hasConfig) {
const existing = readConfigFile() as Record<string, unknown>;
if (accessToken) existing.access_token = accessToken;
if (baseUrl) existing.base_url = baseUrl;
if (consoleSite) existing.console_site = consoleSite;
if (consoleRegion) existing.console_region = consoleRegion;
if (consoleSwitchAgent) existing.console_switch_agent = Number(consoleSwitchAgent);
if (workspaceId) existing.workspace_id = workspaceId;
await writeConfigFile(existing);
process.stderr.write(`Config saved to ${getConfigPath()}\n`);
}
const callbackPatch: AuthPersistPatch = {
access_token: accessToken || undefined,
console_site: (consoleSite || undefined) as ConfigFile["console_site"],
console_region: consoleRegion || undefined,
console_switch_agent: consoleSwitchAgent ? Number(consoleSwitchAgent) : undefined,
workspace_id: workspaceId || undefined,
};
if (apiKey) {
const testBaseUrl = baseUrl || config.baseUrl;
await validateAndPersistApiKey(config, apiKey, testBaseUrl);
const testBaseUrl = baseUrl || deps.authStore.resolveBaseUrl();
await validateAndPersistApiKey(deps, apiKey, {
baseUrl: testBaseUrl,
persistBaseUrl: baseUrl || undefined,
persistPatch: callbackPatch,
});
process.stderr.write(`Config saved to ${deps.authStore.path}\n`);
} else if (hasConfig) {
await deps.authStore.login({
...callbackPatch,
base_url: baseUrl || undefined,
});
process.stderr.write(`Config saved to ${deps.authStore.path}\n`);
}
} catch (err: unknown) {
callbackError = err;
+156 -62
View File
@@ -1,90 +1,184 @@
import {
defineCommand,
isInteractive,
maskToken,
readConfigFile,
writeConfigFile,
type Config,
type GlobalFlags,
generateCLIAccessToken,
getModelProfilePreset,
normalizeModelBaseUrl,
} from "bailian-cli-core";
import { printQuickStart } from "bailian-cli-runtime";
import { emitBare } from "bailian-cli-runtime";
import { promptConfirm } from "bailian-cli-runtime";
import { printCurrentCommandHelp } from "bailian-cli-runtime";
import {
resolveConsoleOrigin,
runConsoleLogin,
validateAndPersistApiKey,
} from "./login-console.ts";
import { validateAndPersistApiKey } from "./login-api-key.ts";
import { resolveConsoleOrigin, runConsoleLogin } from "./login-console.ts";
const LOGIN_MODE_HINT = "Choose exactly one login mode: --api-key, --console, or --open-api";
function hasValue(value: unknown): value is string {
return typeof value === "string" && value.trim().length > 0;
}
export default defineCommand({
description: "Authenticate with API key or console browser login (credentials can coexist)",
skipDefaultApiKeySetup: true,
usageArgs: "--api-key <key> | --console",
options: [
{ flag: "--api-key <key>", description: "DashScope API key to store" },
{
flag: "--base-url <url>",
description: "DashScope API base URL (used with --api-key for validation)",
description: {
"en-US":
"Authenticate with API key, console browser login, or OpenAPI AK/SK (credentials can coexist)",
"zh-CN": "使用 API Key、控制台浏览器登录或 OpenAPI AK/SK 进行认证(多种凭证可共存)",
},
auth: "none",
usageArgs:
"--api-key <key> | --console | --open-api --access-key-id <id> --access-key-secret <secret>",
flags: {
apiKey: {
type: "string",
valueHint: "<key>",
description: { "en-US": "Model API key to store", "zh-CN": "要保存的模型 API Key" },
},
{
flag: "--console",
description:
"Sign in via browser; use --console-site to choose domestic (default) or international",
baseUrl: {
type: "string",
valueHint: "<url>",
description: {
"en-US": "Model API base URL (used with --api-key for validation)",
"zh-CN": "模型 API Base URL用于配合 --api-key 进行验证)",
},
},
console: {
type: "switch",
description: {
"en-US":
"Sign in via browser; use --console-site to choose domestic (default) or international",
"zh-CN": "通过浏览器登录;使用 --console-site 选择国内站(默认)或国际站",
},
},
consoleSite: {
type: "string",
valueHint: "<site>",
description: {
"en-US": "Console site: domestic, international",
"zh-CN": "控制台站点domestic、international",
},
},
openApi: {
type: "switch",
description: {
"en-US": "Store Alibaba Cloud OpenAPI AK/SK credentials",
"zh-CN": "保存阿里云 OpenAPI AK/SK 凭证",
},
},
accessKeyId: {
type: "string",
valueHint: "<id>",
description: {
"en-US": "Alibaba Cloud Access Key ID to store",
"zh-CN": "要保存的阿里云 Access Key ID",
},
},
accessKeySecret: {
type: "string",
valueHint: "<secret>",
description: {
"en-US": "Alibaba Cloud Access Key Secret to store",
"zh-CN": "要保存的阿里云 Access Key Secret",
},
},
},
exampleArgs: [
"--api-key sk-xxxxx",
"--config token-plan --api-key sk-sp-xxxxx",
"--console",
"--open-api --access-key-id LTAIxxxxx --access-key-secret xxxxx",
],
exampleArgs: ["--api-key sk-xxxxx", "--console"],
async run(config: Config, flags: GlobalFlags) {
validate: (f) => {
const apiKeyMode = hasValue(f.apiKey);
const consoleMode = f.console === true;
const openApiMode = f.openApi === true;
// Mode-specific options must not imply a login mode by themselves; this keeps
// `auth login` explicit and avoids silently ignoring flags from another mode.
if (!apiKeyMode && hasValue(f.baseUrl)) {
return "Use --base-url only with --api-key";
}
if (!consoleMode && hasValue(f.consoleSite)) {
return "Use --console-site only with --console";
}
if (!openApiMode && (hasValue(f.accessKeyId) || hasValue(f.accessKeySecret))) {
return "Use --open-api with --access-key-id and --access-key-secret";
}
// Login writes one credential domain per invocation. Multi-mode inputs such
// as `--console --api-key` are rejected instead of partly applying one path.
const modeCount = [apiKeyMode, consoleMode, openApiMode].filter(Boolean).length;
if (modeCount !== 1) return LOGIN_MODE_HINT;
// AK/SK are a credential pair. `auth login --open-api` persists exactly what
// the user typed and does not fill the missing half from env/config.
if (openApiMode && (!hasValue(f.accessKeyId) || !hasValue(f.accessKeySecret))) {
return "Provide --access-key-id and --access-key-secret with --open-api";
}
return undefined;
},
async run(ctx) {
const { identity, settings, flags } = ctx;
const store = ctx.authStore;
const deps = { identity, settings, authStore: store };
const key = flags.apiKey;
const baseUrl = flags.baseUrl ? normalizeModelBaseUrl(flags.baseUrl) : undefined;
if (flags.console) {
if (config.dryRun) {
if (settings.dryRun) {
emitBare(
"Would bind a free port on 127.0.0.1 and open the console login URL in your browser.",
);
return;
}
const hasApiKey = !!(config.apiKey || config.fileApiKey);
await runConsoleLogin(resolveConsoleOrigin(config.consoleSite || "domestic"), config, {
const hasApiKey = !!(key || store.stored().apiKey);
// 本次登录站点:参数缺省时用配置默认(file 里上次登录存的站点)。
const site = flags.consoleSite || settings.consoleSite || "domestic";
await runConsoleLogin(resolveConsoleOrigin(site), deps, {
needApiKey: !hasApiKey,
});
return;
}
const envKey = process.env.DASHSCOPE_API_KEY;
if (envKey && !flags.apiKey) {
const maskedEnvKey = maskToken(envKey);
if (isInteractive({ nonInteractive: config.nonInteractive })) {
const proceed = await promptConfirm({
message: `Detected DASHSCOPE_API_KEY in environment (${maskedEnvKey}).\nYou are already authenticated via env.\nDo you still want to configure local persistent credentials?`,
initialValue: false,
});
if (!proceed) {
process.stdout.write("Login skipped. Using environment variables.\n");
process.exit(0);
}
} else {
process.stderr.write(`Warning: DASHSCOPE_API_KEY is already set in environment.\n`);
if (flags.openApi) {
if (settings.dryRun) {
emitBare("Would save OpenAPI AK/SK credentials and generate CLI access token.");
return;
}
const resolvedBaseUrl = store.resolveBaseUrl();
process.stderr.write("Generating CLI access token... ");
const resp = await generateCLIAccessToken({
identity,
settings,
baseUrl: resolvedBaseUrl,
accessKeyId: flags.accessKeyId!,
accessKeySecret: flags.accessKeySecret!,
});
const accessToken = resp.cliAccessToken;
await store.login({
access_key_id: flags.accessKeyId,
access_key_secret: flags.accessKeySecret,
access_token: accessToken,
});
process.stderr.write(`OpenAPI credentials saved to ${store.path}\n`);
return;
}
const key = (flags.apiKey as string) || config.apiKey;
if (!key) {
printCurrentCommandHelp(process.stderr);
process.exit(0);
}
// --api-key path; validate() guarantees apiKey on the non-console branch.
if (!key) return;
const baseUrl = (flags.baseUrl as string) || undefined;
const effectiveConfig = baseUrl ? { ...config, baseUrl } : config;
if (!config.dryRun) {
if (baseUrl) {
const existing = readConfigFile() as Record<string, unknown>;
existing.base_url = baseUrl;
await writeConfigFile(existing);
}
await validateAndPersistApiKey(effectiveConfig, key, effectiveConfig.baseUrl);
printQuickStart();
} else {
if (settings.dryRun) {
emitBare("Would validate and save API key.");
return;
}
const profilePreset = getModelProfilePreset(settings.configName);
const storedBaseUrl = store.stored().baseUrl;
const resolvedBaseUrl = baseUrl || store.resolveBaseUrl(profilePreset?.baseUrl);
const persistBaseUrl = baseUrl || (!storedBaseUrl ? profilePreset?.baseUrl : undefined);
await validateAndPersistApiKey(deps, key, {
baseUrl: resolvedBaseUrl,
persistBaseUrl,
defaultTextModel: profilePreset?.defaultTextModel,
defaultVideoModel: profilePreset?.defaultVideoModel,
defaultImageToVideoModel: profilePreset?.defaultImageToVideoModel,
defaultReferenceToVideoModel: profilePreset?.defaultReferenceToVideoModel,
defaultImageModel: profilePreset?.defaultImageModel,
});
},
});
+71 -45
View File
@@ -1,50 +1,47 @@
import {
defineCommand,
clearApiKey,
readConfigFile,
writeConfigFile,
getConfigPath,
type Config,
type GlobalFlags,
} from "bailian-cli-core";
import { defineCommand } from "bailian-cli-core";
import { emitBare } from "bailian-cli-runtime";
async function clearConsoleToken(): Promise<boolean> {
const file = readConfigFile() as Record<string, unknown>;
if (!file.access_token) return false;
delete file.access_token;
await writeConfigFile(file);
return true;
}
export default defineCommand({
description: "Clear stored credentials",
skipDefaultApiKeySetup: true,
usageArgs: "[--console] [--yes] [--dry-run]",
options: [
{
flag: "--console",
description: "Only clear the console access_token, keep api_key intact",
type: "boolean",
description: {
"en-US": "Clear stored credentials; full logout also clears the model Base URL",
"zh-CN": "清除已保存的凭证;完整退出还会清除模型 Base URL",
},
auth: "none",
usageArgs: "[--console | --open-api] [--dry-run]",
flags: {
console: {
type: "switch",
description: {
"en-US": "Only clear the console access_token, keep api_key intact",
"zh-CN": "仅清除控制台 access_token保留 api_key",
},
},
{ flag: "--yes", description: "Skip confirmation prompt" },
],
exampleArgs: ["", "--console", "--dry-run", "--yes"],
async run(config: Config, flags: GlobalFlags) {
const file = readConfigFile();
openApi: {
type: "switch",
description: {
"en-US": "Only clear OpenAPI AK/SK/STS credentials, keep other credentials intact",
"zh-CN": "仅清除 OpenAPI AK/SK/STS 凭证,保留其他凭证",
},
},
},
exampleArgs: ["", "--console", "--open-api", "--dry-run"],
validate: (f) =>
f.console && f.openApi ? "Use only one scope: --console or --open-api" : undefined,
async run(ctx) {
const { settings, flags } = ctx;
const store = ctx.authStore;
const stored = store.stored();
if (flags.console) {
const hasToken = !!file.access_token;
if (config.dryRun) {
if (hasToken) emitBare("Would clear access_token from ~/.bailian/config.json");
if (settings.dryRun) {
if (stored.console) emitBare(`Would clear access_token from ${store.path}`);
else emitBare("No console access_token to clear.");
emitBare("No changes made.");
return;
}
if (hasToken) {
await clearConsoleToken();
process.stderr.write(`Cleared access_token from ${getConfigPath()}\n`);
if (file.api_key) {
if (await store.logout("console")) {
process.stderr.write(`Cleared access_token from ${store.path}\n`);
if (stored.apiKey) {
process.stderr.write(
"api_key is still configured and will be used for authentication.\n",
);
@@ -55,20 +52,49 @@ export default defineCommand({
return;
}
const hasKey = !!(file.api_key || file.access_token);
if (flags.openApi) {
if (settings.dryRun) {
if (stored.openapi)
emitBare(
`Would clear access_key_id / access_key_secret / security_token from ${store.path}`,
);
else emitBare("No OpenAPI AK/SK credentials to clear.");
emitBare("No changes made.");
return;
}
if (await store.logout("openapi")) {
process.stderr.write(
`Cleared access_key_id / access_key_secret / security_token from ${store.path}\n`,
);
if (stored.apiKey || stored.console) {
process.stderr.write(
"Other credentials are still configured and will be used for authentication.\n",
);
}
} else {
process.stderr.write("No OpenAPI AK/SK credentials to clear.\n");
}
return;
}
if (config.dryRun) {
if (hasKey) emitBare("Would clear api_key / access_token from ~/.bailian/config.json");
else emitBare("No credentials to clear.");
const hasStoredAuth = stored.apiKey || stored.console || stored.openapi || !!stored.baseUrl;
if (settings.dryRun) {
if (hasStoredAuth)
emitBare(
`Would clear api_key / base_url / access_token / access_key_id / access_key_secret / security_token from ${store.path}`,
);
else emitBare("No credentials or model Base URL to clear.");
emitBare("No changes made.");
return;
}
if (hasKey) {
await clearApiKey();
process.stderr.write("Cleared api_key / access_token from ~/.bailian/config.json\n");
if (await store.logout("all")) {
process.stderr.write(
`Cleared api_key / base_url / access_token / access_key_id / access_key_secret / security_token from ${store.path}\n`,
);
} else {
process.stderr.write("No credentials to clear.\n");
process.stderr.write("No credentials or model Base URL to clear.\n");
}
},
});
+86 -167
View File
@@ -1,182 +1,101 @@
import {
defineCommand,
resolveCredential,
resolveConsoleGatewayCredential,
detectOutputFormat,
maskToken,
type Config,
type GlobalFlags,
type ResolvedCredential,
} from "bailian-cli-core";
import { defineCommand, detectOutputFormat, maskToken } from "bailian-cli-core";
import { emitResult, emitBare } from "bailian-cli-runtime";
import { API_KEY_PAGE } from "bailian-cli-runtime";
interface StoredCredential {
configured: boolean;
source?: string;
masked?: string;
}
interface AuthStatusPayload {
api_key: StoredCredential;
access_token: StoredCredential;
dashscope_commands?: { method: string; source: string; masked: string };
console_gateway_commands?: { method: string; source: string; masked: string };
}
function storedApiKey(config: Config): StoredCredential {
if (config.apiKey) {
return { configured: true, source: "flag", masked: maskToken(config.apiKey) };
}
if (config.fileApiKey) {
return { configured: true, source: "config.json", masked: maskToken(config.fileApiKey) };
}
const env = process.env.DASHSCOPE_API_KEY?.trim();
if (env) {
return { configured: true, source: "DASHSCOPE_API_KEY", masked: maskToken(env) };
}
return { configured: false };
}
function storedAccessToken(config: Config): StoredCredential {
if (config.accessTokenEnv) {
return {
configured: true,
source: "DASHSCOPE_ACCESS_TOKEN",
masked: maskToken(config.accessTokenEnv),
};
}
if (config.fileAccessToken) {
return {
configured: true,
source: "config.json",
masked: maskToken(config.fileAccessToken),
};
}
return { configured: false };
}
async function tryResolveDashscope(config: Config): Promise<ResolvedCredential | undefined> {
try {
return await resolveCredential(config);
} catch {
return undefined;
}
}
async function tryResolveConsole(config: Config): Promise<ResolvedCredential | undefined> {
try {
return await resolveConsoleGatewayCredential(config);
} catch {
return undefined;
}
}
async function buildStatus(config: Config): Promise<AuthStatusPayload> {
const status: AuthStatusPayload = {
api_key: storedApiKey(config),
access_token: storedAccessToken(config),
};
const dashscope = await tryResolveDashscope(config);
if (dashscope) {
status.dashscope_commands = {
method: dashscope.method,
source: dashscope.source,
masked: maskToken(dashscope.token),
};
}
const consoleGw = await tryResolveConsole(config);
if (consoleGw) {
status.console_gateway_commands = {
method: consoleGw.method,
source: consoleGw.source,
masked: maskToken(consoleGw.token),
};
}
return status;
}
function hasAnyAuth(status: AuthStatusPayload): boolean {
return (
status.api_key.configured ||
status.access_token.configured ||
!!status.dashscope_commands ||
!!status.console_gateway_commands
);
}
function emitTextStatus(status: AuthStatusPayload, config: Config): void {
emitBare("Authentication Status:");
emitBare(" Stored credentials (can coexist):");
if (status.api_key.configured) {
emitBare(` API key: ${status.api_key.source} ${status.api_key.masked}`);
} else {
emitBare(" API key: not configured");
}
if (status.access_token.configured) {
emitBare(` Console token: ${status.access_token.source} ${status.access_token.masked}`);
} else {
emitBare(" Console token: not configured");
}
emitBare(" Effective credential per command family:");
if (status.dashscope_commands) {
emitBare(
` DashScope API: ${status.dashscope_commands.method} (${status.dashscope_commands.source}) ${status.dashscope_commands.masked}`,
);
} else {
emitBare(" DashScope API: unavailable");
}
if (status.console_gateway_commands) {
emitBare(
` Console gateway: ${status.console_gateway_commands.method} (${status.console_gateway_commands.source}) ${status.console_gateway_commands.masked}`,
);
} else {
emitBare(` Console gateway: unavailable (run ${config.binName} auth login --console)`);
}
}
export default defineCommand({
description: "Show current authentication state",
options: [
{ flag: "--console-region <region>", description: "Console region" },
{
flag: "--console-site <site>",
description: "Console site: domestic, international",
},
{
flag: "--console-switch-agent <uid>",
description: "Switch agent UID",
type: "number",
},
],
description: {
"en-US": "Show current authentication state",
"zh-CN": "显示当前认证状态",
},
auth: "none",
exampleArgs: ["", "--output json"],
async run(config: Config, _flags: GlobalFlags) {
const format = detectOutputFormat(config.output);
const status = await buildStatus(config);
async run(ctx) {
const { identity, settings } = ctx;
const format = detectOutputFormat(settings.output);
const auth = ctx.authStore.describe();
if (!hasAnyAuth(status)) {
const result = {
authenticated: false,
message: "Not authenticated.",
hint: [
`DashScope API: ${config.binName} auth login --api-key <key> or DASHSCOPE_API_KEY`,
`Console gateway: ${config.binName} auth login --console or DASHSCOPE_ACCESS_TOKEN`,
`Get API Key: ${API_KEY_PAGE}`,
].join("\n"),
...status,
};
emitResult(result, format);
const apiKey = auth.apiKey
? {
source: auth.apiKey.source,
masked: maskToken(auth.apiKey.token),
base_url: auth.apiKey.baseUrl,
}
: undefined;
const consoleCred = auth.console
? {
source: auth.console.source,
masked: maskToken(auth.console.token),
region: auth.console.region,
site: auth.console.site,
}
: undefined;
const openapi = auth.openapi
? {
source: auth.openapi.source,
access_key_id: maskToken(auth.openapi.accessKeyId),
access_key_secret: maskToken(auth.openapi.accessKeySecret),
}
: undefined;
const authenticated = !!(apiKey || consoleCred || openapi);
const configName = settings.configName ?? "default";
const configFile = ctx.authStore.path;
if (!authenticated) {
emitResult(
{
authenticated: false,
config: configName,
config_file: configFile,
message: "Not authenticated.",
hint: [
`API key (model): ${identity.binName} auth login --api-key <key> or DASHSCOPE_API_KEY`,
`Console gateway: ${identity.binName} auth login --console`,
`OpenAPI (AK/SK): ${identity.binName} auth login --open-api --access-key-id <id> --access-key-secret <secret>`,
`Get API Key: ${API_KEY_PAGE}`,
].join("\n"),
},
format,
);
return;
}
if (format !== "text") {
emitResult({ authenticated: true, ...status }, format);
emitResult(
{
authenticated: true,
config: configName,
config_file: configFile,
api_key: apiKey,
console: consoleCred,
openapi,
},
format,
);
return;
}
emitTextStatus(status, config);
emitBare(`Config: ${configName}`);
emitBare(`Config file: ${configFile}`);
emitBare("Authentication Status:");
if (apiKey) {
emitBare(` API key (model): ${apiKey.source} ${apiKey.masked}`);
} else {
emitBare(" API key (model): not configured");
}
if (consoleCred) {
emitBare(
` Console gateway: ${consoleCred.source} ${consoleCred.masked} (${consoleCred.region}, ${consoleCred.site})`,
);
} else {
emitBare(` Console gateway: not configured (run ${identity.binName} auth login --console)`);
}
if (openapi) {
emitBare(` OpenAPI (AK/SK): ${openapi.source} ${openapi.access_key_id}`);
} else {
emitBare(
` OpenAPI (AK/SK): not configured (run ${identity.binName} auth login --open-api)`,
);
}
},
});
@@ -0,0 +1,131 @@
/**
* Best-effort local launcher for coding-agent CLIs surfaced in the config UI.
*
* The command for each agent is taken from a fixed allowlist keyed by the
* agent id, so no user-controlled string is ever executed. Every child process
* is spawned via `execFile` (array args, no shell) to avoid injection.
*/
import { execFile } from "node:child_process";
/** Fixed allowlist: agent id -> launch binary. Keys match `AGENT_PROBES` ids. */
export const AGENT_COMMANDS: Record<string, string> = {
"claude-code": "claude",
"qwen-code": "qwen",
opencode: "opencode",
openclaw: "openclaw",
hermes: "hermes",
codex: "codex",
};
/** The launch binary for a known agent id, or undefined when unknown. */
export function agentCommand(id: string): string | undefined {
return Object.prototype.hasOwnProperty.call(AGENT_COMMANDS, id) ? AGENT_COMMANDS[id] : undefined;
}
/**
* Per-agent argv that passes an initial task prompt while keeping the agent
* interactive in the terminal. Only verified contracts are listed; an agent
* absent here cannot be dispatched a prompt (its bare launch still works).
* - qwen-code: `qwen -i "<prompt>"` (execute prompt, stay interactive)
* - claude-code: `claude "<prompt>"` (positional initial prompt)
* - codex: `codex "<prompt>"` (positional initial prompt)
*/
const AGENT_PROMPT_ARGV: Record<string, (prompt: string) => string[]> = {
"qwen-code": (p) => ["-i", p],
"claude-code": (p) => [p],
codex: (p) => [p],
};
/** Whether a known agent supports being dispatched an initial task prompt. */
export function agentSupportsPrompt(id: string): boolean {
return Object.prototype.hasOwnProperty.call(AGENT_PROMPT_ARGV, id);
}
/** Resolve whether a binary is reachable on PATH (via `which`/`where`). */
function onPath(bin: string): Promise<boolean> {
const cmd = process.platform === "win32" ? "where" : "which";
return new Promise((resolve) => {
execFile(cmd, [bin], { windowsHide: true }, (err) => resolve(!err));
});
}
/**
* Whether a known agent can actually be quick-launched right now: its id maps to
* a launch binary and that binary is reachable on PATH. Unknown ids resolve to
* false. Used to gate the UI's Quick launch button so "Connected" agents whose
* CLI is not installed do not offer a launch that would immediately fail.
*/
export function agentLaunchable(id: string): Promise<boolean> {
const command = agentCommand(id);
if (!command) return Promise.resolve(false);
return onPath(command);
}
/** Single-quote a path for a POSIX shell command line. */
function shQuote(p: string): string {
return `'${p.replace(/'/g, "'\\''")}'`;
}
/** Open a new OS terminal window that cd's into `cwd` and runs `command`. */
function spawnTerminal(command: string, cwd: string): Promise<void> {
const platform = process.platform;
return new Promise((resolve, reject) => {
if (platform === "darwin") {
const inner = `cd ${shQuote(cwd)} && ${command}`;
const escaped = inner.replace(/\\/g, "\\\\").replace(/"/g, '\\"');
const args = [
"-e",
`tell application "Terminal" to do script "${escaped}"`,
"-e",
'tell application "Terminal" to activate',
];
execFile("osascript", args, { windowsHide: true }, (err) => (err ? reject(err) : resolve()));
return;
}
if (platform === "win32") {
const args = ["/c", "start", "", "cmd", "/k", `cd /d ${cwd} && ${command}`];
execFile("cmd", args, { windowsHide: true }, (err) => (err ? reject(err) : resolve()));
return;
}
// Linux / other: best-effort via the distro's default terminal emulator.
const inner = `cd ${shQuote(cwd)} && ${command}; exec $SHELL`;
execFile("x-terminal-emulator", ["-e", "bash", "-lc", inner], { windowsHide: true }, (err) =>
err ? reject(new Error("No supported terminal emulator was found")) : resolve(),
);
});
}
export interface LaunchResult {
launched: boolean;
command: string;
}
/**
* Launch a known coding agent's local CLI in a new terminal window. When
* `prompt` is provided, it is passed as a single quoted argument using the
* agent's verified prompt contract so the agent starts with that task.
* Rejects when the id is unknown, the binary is missing from PATH, the agent
* does not support prompt dispatch, or the platform terminal could not open.
*/
export async function launchAgent(
id: string,
cwd: string = process.cwd(),
prompt?: string,
): Promise<LaunchResult> {
const command = agentCommand(id);
if (!command) throw new Error(`Unknown agent: ${id}`);
if (!(await onPath(command))) {
throw new Error(`\`${command}\` was not found on your PATH — install ${id} first.`);
}
let fullCommand = command;
const task = (prompt ?? "").trim();
if (task) {
const build = AGENT_PROMPT_ARGV[id];
if (!build) throw new Error(`${id} does not support dispatching a task prompt.`);
// shQuote keeps the whole prompt as one shell argument (no injection); the
// platform terminal layer escapes the resulting command line separately.
fullCommand = [command, ...build(task).map(shQuote)].join(" ");
}
await spawnTerminal(fullCommand, cwd);
return { launched: true, command: fullCommand };
}
@@ -0,0 +1,153 @@
import { BailianError, ExitCode } from "bailian-cli-core";
/**
* Decoder for the obfuscated API key ("o1_…") produced by the Model Studio web
* console. Ported verbatim from the frontend `encodeTokenPlanKey` counterpart:
* token = "o1_" + salt(6) + feistel-obfuscated payload + crc32 checksum(6),
* all over a 65-character alphabet. Pure logic, no dependencies; the CLI only
* ever needs the decode direction.
*/
const TOKEN_PREFIX = "o1_";
const ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_.";
const ALPHABET_SIZE = ALPHABET.length;
const ALPHABET_INDEX = new Map(ALPHABET.split("").map((character, index) => [character, index]));
const KEY_PATTERN = /^[A-Za-z0-9._-]+$/;
const SALT_LENGTH = 6;
const CHECKSUM_LENGTH = 6;
const FEISTEL_ROUNDS = 8;
function invalidCredential(): BailianError {
return new BailianError(
"Invalid obfuscated API key.",
ExitCode.USAGE,
'--key expects the obfuscated key copied from the web console (starts with "o1_").',
);
}
function toDigits(value: string): number[] {
const digits: number[] = [];
for (const character of value) {
const digit = ALPHABET_INDEX.get(character);
if (digit === undefined) throw invalidCredential();
digits.push(digit);
}
return digits;
}
function fromDigits(digits: number[]): string {
return digits.map((digit) => ALPHABET[digit]).join("");
}
function mixState(state: number, value: number): number {
return Math.imul((state ^ value) >>> 0, 0x01000193) >>> 0;
}
function nextState(state: number): number {
let next = state >>> 0;
next ^= next << 13;
next ^= next >>> 17;
next ^= next << 5;
return next >>> 0;
}
function createRoundMask(right: number[], salt: string, round: number, length: number): number[] {
let state = (0x811c9dc5 ^ Math.imul(round + 1, 0x9e3779b1)) >>> 0;
state = mixState(state, right.length);
state = mixState(state, length);
for (const character of salt) {
state = mixState(state, (ALPHABET_INDEX.get(character) ?? -1) + 1);
}
for (const digit of right) {
state = mixState(state, digit + 1);
}
state ^= state >>> 16;
state = Math.imul(state, 0x85ebca6b) >>> 0;
state ^= state >>> 13;
state = Math.imul(state, 0xc2b2ae35) >>> 0;
state ^= state >>> 16;
state = state >>> 0 || 0x6d2b79f5;
const mask: number[] = [];
for (let index = 0; index < length; index += 1) {
state = (state + Math.imul(index + 1, 0x9e3779b1)) >>> 0;
state = nextState(state);
mask.push(state % ALPHABET_SIZE);
}
return mask;
}
function deobfuscatePayload(payload: string, salt: string): string {
const digits = toDigits(payload);
const midpoint = Math.floor(digits.length / 2);
let left = digits.slice(0, midpoint);
let right = digits.slice(midpoint);
for (let round = FEISTEL_ROUNDS - 1; round >= 0; round -= 1) {
const previousRight = left;
const mask = createRoundMask(previousRight, salt, round, right.length);
const previousLeft = right.map(
(digit, index) => (digit - mask[index] + ALPHABET_SIZE) % ALPHABET_SIZE,
);
left = previousLeft;
right = previousRight;
}
return fromDigits([...left, ...right]);
}
function crc32(value: string): number {
let checksum = 0xffffffff;
for (let index = 0; index < value.length; index += 1) {
checksum ^= value.charCodeAt(index);
for (let bit = 0; bit < 8; bit += 1) {
const mask = -(checksum & 1);
checksum = (checksum >>> 1) ^ (0xedb88320 & mask);
}
}
return (checksum ^ 0xffffffff) >>> 0;
}
function encodeBase65Number(value: number, length: number): string {
let remaining = value >>> 0;
const encoded = Array<string>(length).fill(ALPHABET[0]);
for (let index = length - 1; index >= 0; index -= 1) {
encoded[index] = ALPHABET[remaining % ALPHABET_SIZE];
remaining = Math.floor(remaining / ALPHABET_SIZE);
}
if (remaining !== 0) throw invalidCredential();
return encoded.join("");
}
function validateSalt(salt: string): void {
if (salt.length !== SALT_LENGTH || !KEY_PATTERN.test(salt)) {
throw invalidCredential();
}
}
/** Decode an "o1_…" obfuscated token back into the plain API key. */
export function decodeTokenPlanKey(token: string): string {
const minimumLength = TOKEN_PREFIX.length + SALT_LENGTH + CHECKSUM_LENGTH + 1;
if (token.length < minimumLength || !token.startsWith(TOKEN_PREFIX)) {
throw invalidCredential();
}
const body = token.slice(TOKEN_PREFIX.length);
if (!KEY_PATTERN.test(body)) throw invalidCredential();
const salt = body.slice(0, SALT_LENGTH);
const payload = body.slice(SALT_LENGTH, -CHECKSUM_LENGTH);
const checksum = body.slice(-CHECKSUM_LENGTH);
validateSalt(salt);
if (!payload) throw invalidCredential();
const apiKey = deobfuscatePayload(payload, salt);
if (!KEY_PATTERN.test(apiKey)) throw invalidCredential();
const expectedChecksum = encodeBase65Number(crc32(apiKey), CHECKSUM_LENGTH);
if (checksum !== expectedChecksum) throw invalidCredential();
return apiKey;
}

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