diff --git a/README.md b/README.md index 44a68df..3d778fd 100644 --- a/README.md +++ b/README.md @@ -38,6 +38,7 @@ Equip your AI Agent out-of-the-box with these capabilities, composable across co - **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 @@ -111,22 +112,23 @@ 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 --model qwen3-max -bl usage free --expiring 30 # Quotas expiring within 30 days -bl usage free --sort remaining # Sort by remaining % ascending -bl usage stats --workspace-id # Usage overview for a workspace -bl usage stats --model qwen-turbo --workspace-id # Per-model usage +bl usage free # Free-tier quota across models (add --model/--expiring/--sort) +bl usage stats --workspace-id # Model usage statistics (add --model for per-model) bl workspace list # List all workspaces -# Rate limit management -bl quota list # View RPM/TPM limits for all models -bl quota list --model qwen3.6-plus # View limits for a specific model -bl quota check # Current usage vs rate limits -bl quota check --model qwen3.6-plus --period 5 # Check usage over last 5 minutes +# 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 ``` > More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&) diff --git a/README.zh.md b/README.zh.md index fa1fa78..f7979fd 100644 --- a/README.zh.md +++ b/README.zh.md @@ -38,6 +38,7 @@ _专为 AI Agent 打造，每个命令均可作为结构化工具调用。_ - **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 @@ -106,22 +107,23 @@ bl advisor recommend --message "qwen-max 和 deepseek-v3 哪个更适合做代 # 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 --model qwen3-max -bl usage free --expiring 30 # 30 天内过期的额度 -bl usage free --sort remaining # 按剩余百分比升序排列 -bl usage stats --workspace-id # 指定空间的用量概览 -bl usage stats --model qwen-turbo --workspace-id # 指定模型用量 +bl usage free # 各模型免费额度（可加 --model/--expiring/--sort） +bl usage stats --workspace-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 -bl quota list # 查看所有模型的 RPM/TPM 限额 -bl quota list --model qwen3.6-plus # 查看指定模型限额 -bl quota check # 查看当前用量 vs 限流阈值 -bl quota check --model qwen3.6-plus --period 5 # 查看最近 5 分钟用量 +# 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 ``` > 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&) diff --git a/packages/cli/README.md b/packages/cli/README.md index 44a68df..3d778fd 100644 --- a/packages/cli/README.md +++ b/packages/cli/README.md @@ -38,6 +38,7 @@ Equip your AI Agent out-of-the-box with these capabilities, composable across co - **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 @@ -111,22 +112,23 @@ 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 --model qwen3-max -bl usage free --expiring 30 # Quotas expiring within 30 days -bl usage free --sort remaining # Sort by remaining % ascending -bl usage stats --workspace-id # Usage overview for a workspace -bl usage stats --model qwen-turbo --workspace-id # Per-model usage +bl usage free # Free-tier quota across models (add --model/--expiring/--sort) +bl usage stats --workspace-id # Model usage statistics (add --model for per-model) bl workspace list # List all workspaces -# Rate limit management -bl quota list # View RPM/TPM limits for all models -bl quota list --model qwen3.6-plus # View limits for a specific model -bl quota check # Current usage vs rate limits -bl quota check --model qwen3.6-plus --period 5 # Check usage over last 5 minutes +# 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 ``` > More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&) diff --git a/packages/cli/README.zh.md b/packages/cli/README.zh.md index fa1fa78..f7979fd 100644 --- a/packages/cli/README.zh.md +++ b/packages/cli/README.zh.md @@ -38,6 +38,7 @@ _专为 AI Agent 打造，每个命令均可作为结构化工具调用。_ - **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 @@ -106,22 +107,23 @@ bl advisor recommend --message "qwen-max 和 deepseek-v3 哪个更适合做代 # 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 --model qwen3-max -bl usage free --expiring 30 # 30 天内过期的额度 -bl usage free --sort remaining # 按剩余百分比升序排列 -bl usage stats --workspace-id # 指定空间的用量概览 -bl usage stats --model qwen-turbo --workspace-id # 指定模型用量 +bl usage free # 各模型免费额度（可加 --model/--expiring/--sort） +bl usage stats --workspace-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 -bl quota list # 查看所有模型的 RPM/TPM 限额 -bl quota list --model qwen3.6-plus # 查看指定模型限额 -bl quota check # 查看当前用量 vs 限流阈值 -bl quota check --model qwen3.6-plus --period 5 # 查看最近 5 分钟用量 +# 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 ``` > 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&)