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若麒
@@ -13,8 +13,9 @@
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---
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_Chat with Qwen, generate images & videos, understand images, call agents,_
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_manage memory, search the web — all from your terminal._
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_Chat with Qwen, generate and edit images and videos, understand images, synthesize_
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_and recognize speech, call apps, manage memory, retrieve knowledge, search the web —_
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_every AI capability, one command away._
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_Built for AI Agents. Every command works as a structured tool call._
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@@ -22,28 +23,16 @@ _Built for AI Agents. Every command works as a structured tool call._
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## Features
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Equip your AI Agent out-of-the-box with these capabilities, composable across complex tasks:
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- **Model generation** — Full-modality generation across text, image, video, and speech, with editing and reference-based generation
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- **Asset understanding** — Parse and ask questions about images, documents, audio, and long videos
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- **App orchestration** — Call Managed Agents, agents, and workflows published on Aliyun Model Studio, wired to knowledge bases, memory, web search, and MCP tools
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- **Training & deployment** — Validate and upload datasets, fine-tune models, deploy dedicated models as endpoints
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- **Account operations** — Login, UI-based configuration, model marketplace, usage and quota, rate-limit increases, team seat management
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- **Plan onboarding** — Connect subscription plans such as Token Plan to the CLI and common coding agents in one step
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- **Text chat** — Qwen3.8-max: major gains in agentic coding, frontend coding, and vibe coding
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- **Multimodal (Omni)** — Full omni-modal support across text + image + audio + video
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- **Image generation & editing** — Qwen-Image 3.0: pro text rendering, photorealism, strong semantic adherence, multi-image composition
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- **Video generation & editing** — happyhorse-1.1 series: text-/image-/reference-to-video and natural-language video editing (up to 9-image reference)
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- **Speech synthesis & recognition** — CosyVoice streaming TTS, voice cloning from 5–20s samples; FunAudio-ASR covers 30 languages including 7 Chinese dialects and 20+ Mandarin accents
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- **Image & video understanding** — Qwen-VL: long-form video analysis, chart/document parsing, visual reasoning, multilingual OCR
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- **Coding agent setup** — Configure Claude Code, Qwen Code, OpenCode, OpenClaw, Hermes Agent, or Codex to use DashScope with `bl config agent`
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> **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.
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> **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.
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- **Knowledge base & memory** — Multimodal RAG retrieval and cross-session memory for personalized, coherent dialogue
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- **App calls** — Invoke agents and workflows already published on Aliyun Model Studio
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- **MCP integration** — Orchestrate Bailian MCP servers: list services, inspect tools, and invoke any tool directly from the terminal
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- **Web search** — Real-time internet retrieval for up-to-date, accurate answers
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- **Model recommendation** — Describe your scenario and get best-fit model suggestions; supports scoped search, model comparison, and alternative discovery
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- **Fine-tuning & deployment** — Upload datasets, create text/audio/image fine-tune jobs (`finetune text|audio|image create`; text covers SFT/LoRA/DPO/CPT), probe job status non-blockingly (`finetune watch`), query per-model training capability (`finetune capability`), and deploy trained models as endpoints (`deploy text|audio|image create`)
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- **Console capabilities** — Browse the model marketplace (`model list`) and Bailian apps (`app list`), review a unified usage view (`usage summary`), 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`)
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- **Local file auto-upload** — Every URL parameter accepts a local path; uploaded to free temp storage with 48-hour validity
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## Showcase: One-Sentence Cinematic Video
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## Showcase 1: A Cinematic Short Film from One Sentence
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<p align="center">
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<a href="https://cloud.video.taobao.com/vod/dS2F4huqbw5Nfe5L3wwb3grz2q2DNYD3retq8dU-iHo.mp4">
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@@ -56,129 +45,77 @@ Equip your AI Agent out-of-the-box with these capabilities, composable across co
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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:
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- **[Qwen Code](https://github.com/QwenLM/qwen-code)** — the agentic coding model that interprets the user's intent and drives the workflow
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- **[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
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- **[Aliyun Model Studio CLI](https://github.com/modelstudioai/cli/)** — invokes **HappyHorse 1.1**, Aliyun Model Studio's text-/image-/reference-to-video generation model
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- **[spark-video Skill](https://github.com/JohnKeating1997/spark-video)** — handles scene decomposition, storyboarding, shot continuity, and final stitching
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### The single prompt
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> _"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."_
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>
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> _(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")_
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### How it works
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## Showcase 2: A Short-Film Director Managed Agent from One Sentence
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1. **Qwen Code** parses the request, plans the narrative beats, and decides which tools to call.
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2. The **spark-video Skill** breaks the story into shots, writes per-shot prompts, and enforces visual continuity (characters, lighting, palette, lens language).
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3. **`bl video generate`** dispatches each shot to **HappyHorse 1.1** in parallel.
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4. The skill stitches all clips back together into a single 16:9 / ~2-min deliverable.
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<p align="center">
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<a href="https://cloud.video.taobao.com/vod/2v0GYLbJSQb2saj4iopTJDW3iRIHsintYlK-wTKbhqE.mp4">
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<img src="https://img.alicdn.com/imgextra/i4/6000000001674/O1CN01xhzixhxltbH3LxWu_!!6000000001674-0-tbvideo.jpg" alt="Click to play the demo video" width="720" />
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</a>
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</p>
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No timeline scrubbing. No frame-by-frame editing. Just one sentence → one video.
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<p align="center"><i>👆 Click the cover to play the full demo</i></p>
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One sentence builds a reusable cloud-side short-film director for storyboarding, storyboard image generation, and video creation:
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- **[Qwen Code](https://github.com/QwenLM/qwen-code)** — understands the requirement and generates the agent configuration
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- **[Aliyun Model Studio CLI](https://github.com/modelstudioai/cli/)** — validates the configuration, previews the changes, and completes the deployment
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- **[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
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### The single prompt
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> _"Build me a Managed Agent app that can produce short films — a director expert that generates videos and can also design the matching storyboards."_
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## Installation
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**Agent install (recommended)**
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Send the following to your Agent — it will detect your environment, then install and verify the CLI for you:
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```text
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Please read https://bailian.aliyun.com/cli/install.md and install the Aliyun Model Studio CLI for me
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```
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**Manual install (npm)**
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```bash
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# Recommended — no Node required
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curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
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# Windows (PowerShell)
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irm https://bailian.aliyun.com/cli/install.ps1 | iex
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# Node users / developers (Node.js >= 18.17)
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npm install -g bailian-cli
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# Agent skills
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npx skills add modelstudioai/cli --all -g
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```
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> Binary install does not require Node.js. `npm install -g` remains fully supported.
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> Requires Node.js >= 18.17.
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## Quick Start
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```bash
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# Authenticate, recommended
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bl auth login --console
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Once installed, just describe your task to your AI Agent — no need to assemble commands by hand.
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# Or authenticate with an API key
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bl auth login --api-key sk-xxxxx
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# Or use Token Plan (Base URL built in; the key is tested during login)
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bl auth login --config token-plan --api-key sk-sp-xxxxx
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# Configure a coding agent to use DashScope
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bl config agent --agent codex --base-url https://dashscope.aliyuncs.com/compatible-mode/v1 --api-key sk-xxxxx --model qwen3-coder-plus
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# Chat with Qwen
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bl text chat --message "What is DashScope?"
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# Multimodal chat (text + image + audio + video)
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bl omni --message "Describe this image" --image ./photo.jpg
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# Generate an image
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bl image generate --prompt "A cat in a spacesuit" --out-dir ./images/
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# Generate a video from local image
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bl video generate --image ./cat.png --prompt "Make the cat move" --download cat.mp4
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# Model recommendation — find the best model for your use case
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bl advisor recommend --message "I need a visual-understanding chatbot"
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# Compare specific models
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bl advisor recommend --message "qwen-max vs deepseek-v3 for code generation"
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# Browser login (required for console capability commands)
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bl auth login --console
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# Fine-tune & deploy — a one-shot train-to-serve workflow
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bl dataset upload --file ./train.jsonl # Upload a .jsonl dataset (validated first)
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bl finetune text create --model qwen3-8b --datasets ./train.jsonl --training-type sft-lora # Local paths auto-upload
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bl finetune watch --job-id ft-xxx --output json # Non-blocking probe (running/succeeded return 0; failed/canceled report an error)
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bl finetune capability --model qwen3-8b # Which training types a model supports
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bl deploy text create --model qwen3-8b --name my-svc --plan mu # Deploy the trained model as an endpoint
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# Browse models / apps / free-tier quota / usage statistics / workspaces
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bl model list # Browse model families and pricing
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bl app list
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bl usage summary # Unified view: free-tier quota + recent usage overview
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bl usage free # Free-tier quota across models (add --model/--expiring/--sort)
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bl usage stats --workspace-id <id> # Model usage statistics (add --model for per-model)
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bl workspace list # List all workspaces
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# Rate limit management (list / check / request / history)
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bl quota list # View RPM/TPM limits (add --model to filter)
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bl quota check # Current usage vs rate limits (add --model/--period)
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bl quota request --model qwen3.6-plus --tpm 6000000 # Request a temporary TPM increase
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bl quota history # View quota-change history
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# Token Plan team management (requires AK/SK, see auth below)
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bl token-plan list-seats # View subscription seat details
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bl token-plan add-member --account-name dev --org-id org_xxx
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bl token-plan assign-seats --workspace-id ws_xxx --seat-type standard --account-id acc_xxx
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bl token-plan create-key --account-id acc_xxx --workspace-id ws_xxx
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```
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| Scenario | What to say to your Agent |
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| ------------------------ | --------------------------------------------------------------------------------- |
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| Managed Agent | "Create a Managed Agent that can generate short-film storyboards and videos." |
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| Image & video generation | "Generate an image of a cat in a spacesuit on Mars, then turn it into a video." |
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| Usage & quota | "Show my recent model usage, free-tier quota, and rate limits." |
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| Model selection | "Recommend a model for image understanding and customer support." |
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| About Bailian CLI | "Tell me what Bailian CLI can do for me, and suggest how to use it for my needs." |
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> More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)
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## Authentication
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### DashScope API Key
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### API Key
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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).
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```bash
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# Option 1: Environment variable
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export DASHSCOPE_API_KEY=sk-xxxxx
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# Option 2: Login command (persisted to ~/.bailian/config.json)
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bl auth login --api-key sk-xxxxx
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# Option 3: Per-command flag
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bl text chat --api-key sk-xxxxx --message "Hello"
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```
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### Token Plan API Key
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Get or copy the API key from the [Token Plan subscription overview](https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview).
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The CLI has the default Token Plan Base URL built in. Login tests the key first, then saves and activates the `token-plan` config only when validation succeeds.
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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).
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```bash
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bl auth login --config token-plan --api-key sk-sp-xxxxx
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@@ -186,26 +123,20 @@ bl auth login --config token-plan --api-key sk-sp-xxxxx
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### Console Login (OAuth)
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Required for console capability commands (`model list`, `app list`, `usage summary/free/stats`, `workspace list`, `quota list/request/check/history`). Opens the Bailian console in your browser to sign in.
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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.
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```bash
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bl auth login --console
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```
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### Alibaba Cloud OpenAPI AK/SK (Token Plan only)
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### Alibaba Cloud OpenAPI AK/SK
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Required for the `token-plan` command group. Get your AccessKey from [RAM Console](https://ram.console.aliyun.com/manage/ak).
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Token Plan seat and member management requires an Alibaba Cloud AccessKey. Get yours from the [RAM Console](https://ram.console.aliyun.com/manage/ak).
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> Recommended: create a RAM sub-account with minimum privileges instead of using the root account's AK/SK.
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```bash
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# Option 1: Login command (persisted to ~/.bailian/config.json)
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bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
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# Option 2: Environment variables
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export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
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export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
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export BAILIAN_WORKSPACE_ID=ws-...
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```
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## Configuration
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@@ -214,18 +145,31 @@ export BAILIAN_WORKSPACE_ID=ws-...
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# View current config
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bl config show
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# Set defaults
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bl config set --key base_url --value https://dashscope-us.aliyuncs.com
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bl config set --key default_text_model --value qwen-turbo
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bl config set --key timeout --value 600
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# List all config profiles
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bl config list
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# Self-update to latest or a specific version
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bl update
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bl update --to 0.1.14
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# Switch config profile
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bl config use --name token-plan
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```
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Config file location: `~/.bailian/config.json`
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## Update
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```bash
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bl update
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```
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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).
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## Contributing
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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.
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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.
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<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" />
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## Links
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| Resource | URL |
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@@ -237,11 +181,3 @@ Config file location: `~/.bailian/config.json`
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| Get API Key | https://bailian.console.aliyun.com/cn-beijing/?source_channel=key_github&tab=app#/api-key |
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| Get Token Plan API Key | https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview |
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| Get AccessKey | https://ram.console.aliyun.com/manage/ak |
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## Changelog
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Release notes for every version live in [CHANGELOG.md](https://github.com/modelstudioai/cli/blob/main/CHANGELOG.md).
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## Contributing
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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.
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+73
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@@ -22,28 +22,16 @@ _专为 AI Agent 打造，每个命令均可作为结构化工具调用。_
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## 功能特性
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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：
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- **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
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- **素材理解** — 图像、文档、音频、长视频的解析与问答
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- **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
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- **模型训推** — 数据集校验上传、模型精调、专属模型部署上线
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- **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
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- **套餐接入** — 支持 Token Plan 等订阅计划一键接到 CLI 和常见 Coding Agent
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- **文本对话** — Qwen3.8-max：Agentic coding、前端编程、Vibe coding 等能力显著增强
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- **全模态对话** — 文本 + 图像 + 音频 + 视频全模态支持
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- **图像生成与编辑** — Qwen-Image 3.0：专业文字渲染、真实质感、强语义遵循、多图合成
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- **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
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- **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
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- **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
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- **Coding Agent 配置** — 使用 `bl config agent` 将 Claude Code、Qwen Code、OpenCode、OpenClaw、Hermes Agent 或 Codex 配置为使用 DashScope
|
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> **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。
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||||
|
||||
> **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、创建文本/音频/图像调优任务（`finetune text|audio|image create`；文本涵盖 SFT/LoRA/DPO/CPT）、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 text|audio|image create`）
|
||||
- **控制台能力** — 浏览模型市场（`model list`）和百炼应用（`app list`），查看统一用量视图（`usage summary`），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">
|
||||
@@ -53,130 +41,80 @@ _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
|
||||
|
||||
**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
|
||||
```
|
||||
|
||||
**手动安装（npm）**
|
||||
|
||||
```bash
|
||||
# 推荐 — 无需本机 Node.js
|
||||
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
|
||||
|
||||
# Windows（PowerShell）
|
||||
irm https://bailian.aliyun.com/cli/install.ps1 | iex
|
||||
|
||||
# Node 用户 / 开发者（需要 Node.js >= 18.17）
|
||||
npm install -g bailian-cli
|
||||
|
||||
# Agent skills
|
||||
npx skills add modelstudioai/cli --all -g
|
||||
```
|
||||
|
||||
> 二进制安装不依赖 Node.js。`npm install -g` 长期保留。
|
||||
> 需要预先安装 Node.js >= 18.17。
|
||||
|
||||
## 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
|
||||
|
||||
# 或使用 Token Plan（已内置 Base URL，登录时自动测试 Key）
|
||||
bl auth login --config token-plan --api-key sk-sp-xxxxx
|
||||
|
||||
# 配置 Coding Agent 使用 DashScope
|
||||
bl config agent --agent codex --base-url https://dashscope.aliyuncs.com/compatible-mode/v1 --api-key sk-xxxxx --model qwen3-coder-plus
|
||||
|
||||
# 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 text 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 # 非阻塞探测（运行中/成功返回 0；失败/取消报错）
|
||||
bl finetune capability --model qwen3-8b # 查询模型支持哪些训练方式
|
||||
bl deploy text create --model qwen3-8b --name my-svc --plan mu # 把训练好的模型部署为推理服务
|
||||
|
||||
# 浏览模型 / 应用 / 免费额度 / 用量统计 / 业务空间
|
||||
bl model list # 浏览模型系列与价格信息
|
||||
bl app list
|
||||
bl usage summary # 统一视图：免费额度 + 近期用量概览
|
||||
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 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 API Key。
|
||||
CLI 已内置 Token Plan 的默认 Base URL；登录命令会先测试 Key，通过后才保存并激活 `token-plan` 配置。
|
||||
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
|
||||
@@ -184,26 +122,20 @@ bl auth login --config token-plan --api-key sk-sp-xxxxx
|
||||
|
||||
### 控制台登录（OAuth）
|
||||
|
||||
控制台能力命令（`model list`、`app list`、`usage summary/free/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 OpenAPI AK/SK（仅 Token Plan）
|
||||
### 阿里云 OpenAPI AK/SK
|
||||
|
||||
`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
|
||||
# 方式一：登录命令（持久化到 ~/.bailian/config.json）
|
||||
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
|
||||
|
||||
# 方式二：环境变量
|
||||
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
|
||||
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
|
||||
export BAILIAN_WORKSPACE_ID=ws-...
|
||||
```
|
||||
|
||||
## 配置
|
||||
@@ -212,20 +144,31 @@ 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
|
||||
|
||||
# 安装指定版本
|
||||
bl update --to 0.1.14
|
||||
# 切换配置档
|
||||
bl config use --name token-plan
|
||||
```
|
||||
|
||||
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 |
|
||||
@@ -237,11 +180,3 @@ bl update --to 0.1.14
|
||||
| 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)。
|
||||
|
||||
+73
-137
@@ -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._
|
||||
|
||||
@@ -22,28 +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** — Qwen3.8-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 3.0: 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 5–20s 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
|
||||
- **Coding agent setup** — Configure Claude Code, Qwen Code, OpenCode, OpenClaw, Hermes Agent, or Codex to use DashScope with `bl config agent`
|
||||
> **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 text/audio/image fine-tune jobs (`finetune text|audio|image create`; text covers SFT/LoRA/DPO/CPT), probe job status non-blockingly (`finetune watch`), query per-model training capability (`finetune capability`), and deploy trained models as endpoints (`deploy text|audio|image create`)
|
||||
- **Console capabilities** — Browse the model marketplace (`model list`) and Bailian apps (`app list`), review a unified usage view (`usage summary`), 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">
|
||||
@@ -56,129 +45,77 @@ 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
|
||||
|
||||
**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
|
||||
```
|
||||
|
||||
**Manual install (npm)**
|
||||
|
||||
```bash
|
||||
# Recommended — no Node required
|
||||
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
|
||||
|
||||
# Windows (PowerShell)
|
||||
irm https://bailian.aliyun.com/cli/install.ps1 | iex
|
||||
|
||||
# Node users / developers (Node.js >= 18.17)
|
||||
npm install -g bailian-cli
|
||||
|
||||
# Agent skills
|
||||
npx skills add modelstudioai/cli --all -g
|
||||
```
|
||||
|
||||
> Binary install does not require Node.js. `npm install -g` remains fully supported.
|
||||
> Requires Node.js >= 18.17.
|
||||
|
||||
## 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
|
||||
|
||||
# Or use Token Plan (Base URL built in; the key is tested during login)
|
||||
bl auth login --config token-plan --api-key sk-sp-xxxxx
|
||||
|
||||
# Configure a coding agent to use DashScope
|
||||
bl config agent --agent codex --base-url https://dashscope.aliyuncs.com/compatible-mode/v1 --api-key sk-xxxxx --model qwen3-coder-plus
|
||||
|
||||
# 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 text 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 probe (running/succeeded return 0; failed/canceled report an error)
|
||||
bl finetune capability --model qwen3-8b # Which training types a model supports
|
||||
bl deploy text create --model qwen3-8b --name my-svc --plan mu # Deploy the trained model as an endpoint
|
||||
|
||||
# Browse models / apps / free-tier quota / usage statistics / workspaces
|
||||
bl model list # Browse model families and pricing
|
||||
bl app list
|
||||
bl usage summary # Unified view: free-tier quota + recent usage overview
|
||||
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"
|
||||
```
|
||||
|
||||
### Token Plan API Key
|
||||
|
||||
Get or copy the API key from the [Token Plan subscription overview](https://bailian.console.aliyun.com/cn-beijing?tab=plan#/efm/subscription/overview).
|
||||
The CLI has the default Token Plan Base URL built in. Login tests the key first, then saves and activates the `token-plan` config only when validation succeeds.
|
||||
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
|
||||
@@ -186,26 +123,20 @@ bl auth login --config token-plan --api-key sk-sp-xxxxx
|
||||
|
||||
### Console Login (OAuth)
|
||||
|
||||
Required for console capability commands (`model list`, `app list`, `usage summary/free/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 OpenAPI AK/SK (Token Plan only)
|
||||
### Alibaba Cloud OpenAPI AK/SK
|
||||
|
||||
Required for 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
|
||||
# Option 1: Login command (persisted to ~/.bailian/config.json)
|
||||
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
|
||||
|
||||
# Option 2: Environment variables
|
||||
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
|
||||
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
|
||||
export BAILIAN_WORKSPACE_ID=ws-...
|
||||
```
|
||||
|
||||
## Configuration
|
||||
@@ -214,18 +145,31 @@ 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 or a specific version
|
||||
bl update
|
||||
bl update --to 0.1.14
|
||||
# Switch config profile
|
||||
bl config use --name token-plan
|
||||
```
|
||||
|
||||
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 |
|
||||
@@ -237,11 +181,3 @@ Config file location: `~/.bailian/config.json`
|
||||
| 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.
|
||||
|
||||
+73
-138
@@ -22,28 +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** — Qwen3.8-max：Agentic 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 3.0：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
|
||||
- **Coding Agent 配置** — 使用 `bl config agent` 将 Claude Code、Qwen Code、OpenCode、OpenClaw、Hermes Agent 或 Codex 配置为使用 DashScope
|
||||
> **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、创建文本/音频/图像调优任务（`finetune text|audio|image create`；文本涵盖 SFT/LoRA/DPO/CPT）、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 text|audio|image create`）
|
||||
- **控制台能力** — 浏览模型市场（`model list`）和百炼应用（`app list`），查看统一用量视图（`usage summary`），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">
|
||||
@@ -53,130 +41,80 @@ _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
|
||||
|
||||
**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
|
||||
```
|
||||
|
||||
**手动安装（npm）**
|
||||
|
||||
```bash
|
||||
# 推荐 — 无需本机 Node.js
|
||||
curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash
|
||||
|
||||
# Windows（PowerShell）
|
||||
irm https://bailian.aliyun.com/cli/install.ps1 | iex
|
||||
|
||||
# Node 用户 / 开发者（需要 Node.js >= 18.17）
|
||||
npm install -g bailian-cli
|
||||
|
||||
# Agent skills
|
||||
npx skills add modelstudioai/cli --all -g
|
||||
```
|
||||
|
||||
> 二进制安装不依赖 Node.js。`npm install -g` 长期保留。
|
||||
> 需要预先安装 Node.js >= 18.17。
|
||||
|
||||
## 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
|
||||
|
||||
# 或使用 Token Plan（已内置 Base URL，登录时自动测试 Key）
|
||||
bl auth login --config token-plan --api-key sk-sp-xxxxx
|
||||
|
||||
# 配置 Coding Agent 使用 DashScope
|
||||
bl config agent --agent codex --base-url https://dashscope.aliyuncs.com/compatible-mode/v1 --api-key sk-xxxxx --model qwen3-coder-plus
|
||||
|
||||
# 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 text 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 # 非阻塞探测（运行中/成功返回 0；失败/取消报错）
|
||||
bl finetune capability --model qwen3-8b # 查询模型支持哪些训练方式
|
||||
bl deploy text create --model qwen3-8b --name my-svc --plan mu # 把训练好的模型部署为推理服务
|
||||
|
||||
# 浏览模型 / 应用 / 免费额度 / 用量统计 / 业务空间
|
||||
bl model list # 浏览模型系列与价格信息
|
||||
bl app list
|
||||
bl usage summary # 统一视图：免费额度 + 近期用量概览
|
||||
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 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 API Key。
|
||||
CLI 已内置 Token Plan 的默认 Base URL；登录命令会先测试 Key，通过后才保存并激活 `token-plan` 配置。
|
||||
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
|
||||
@@ -184,26 +122,20 @@ bl auth login --config token-plan --api-key sk-sp-xxxxx
|
||||
|
||||
### 控制台登录（OAuth）
|
||||
|
||||
控制台能力命令（`model list`、`app list`、`usage summary/free/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 OpenAPI AK/SK（仅 Token Plan）
|
||||
### 阿里云 OpenAPI AK/SK
|
||||
|
||||
`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
|
||||
# 方式一：登录命令（持久化到 ~/.bailian/config.json）
|
||||
bl auth login --open-api --access-key-id LTAI5t... --access-key-secret ...
|
||||
|
||||
# 方式二：环境变量
|
||||
export ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t...
|
||||
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=...
|
||||
export BAILIAN_WORKSPACE_ID=ws-...
|
||||
```
|
||||
|
||||
## 配置
|
||||
@@ -212,20 +144,31 @@ 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
|
||||
|
||||
# 安装指定版本
|
||||
bl update --to 0.1.14
|
||||
# 切换配置档
|
||||
bl config use --name token-plan
|
||||
```
|
||||
|
||||
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 |
|
||||
@@ -237,11 +180,3 @@ bl update --to 0.1.14
|
||||
| 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)。
|
||||
|
||||
Reference in New Issue
Block a user