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阿里云百炼 CLI 调用多模态 AI
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查看原文 阿里云百炼 CLI 调用多模态 AI
modelstudioai星标365采集时的累计值
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最近提交10-23 16:56提交时间不是项目发布时间
发布时间:未知 · 首次发现 10-27 15:48 · 北京时间
指标采集:10-27 15:48 · 指标已取得
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摘要
阿里云百炼 CLI 将模型生成、图像与文档理解、语音处理及工作流调用封装为结构化命令,供 AI Agent 使用。材料还展示了用 Qwen Code、CLI 和视频生成技能协作,将一句提示扩展为分镜、视频生成与剪辑流程。
摘要由 AI 生成,请以原文为准。观测历史 · 最近 1 条 展开 / 收起
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| 采集时间 · 北京时间 | 指标 | 数值 | 来源 | 状态 |
|---|---|---|---|---|
| 10-27 15:48:16 | Star | 365 | GitHub 公开页面 | 已取得 |
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cli
Official Model Studio CLI(阿里云百炼 CLI)built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as stru…
项目说明 展开 / 收起
The official command-line interface for Aliyun Model Studio (DashScope) AI Platform Aliyun Model Studio CLI Site · 中文文档 · API Documentation · Get API Key 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. Features 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 Native MCP setup — Register Bailian MCP servers in Codex, Claude Code, Cursor, Qoder, Qoder Work, QwenWork (千问办公), Qwen Code, Gemini CLI, or Pi 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 Note: App orchestration, native MCP setup, 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. Showcase 1: A Cinematic Short Film from One Sentence 👆 Click the cover to play the full 2-minute demo 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 — the agentic coding model that interprets the user's intent and drives the workflow Aliyun Model Studio CLI — invokes HappyHorse 1.1, Aliyun Model Studio's text-/image-/reference-to-video generation model spark-video Skill — 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." Showcase 2: A Short-Film Director Managed Agent from One Sentence 👆 Click the cover to play the full demo One sentence builds a reusable cloud-side short-film director for storyboarding, storyboard image generation, and video creation: Qwen Code — understands the requirement and generates the agent configuration Aliyun Model Studio CLI — validates the configuration, previews the changes, and completes the deployment Managed Agent — 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: Please read https://bailian.aliyun.com/cli/install.md and install the Aliyun Model Studio CLI for me Install with NPM npm install -g bailian-cli bl skill init Requires Node.js >= 18.17. Install on macOS/Linux curl -fsSL https://bailian.aliyun.com/cli/install.sh | bash No Node.js required. The installer automatically installs Bailian Skills. Install on Windows irm https://bailian.aliyun.com/cli/install.ps1 | iex No Node.js required. The installer automatically installs Bailian Skills. Quick Start Once installed, just describe your task to your AI Agent — no need to assemble commands by hand. 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." Speech recognition "Transcribe this audio; if proper nouns are wrong, add hot words and try again." Usage & quota "Show my recent model usage, free-tier quota, and rate limits." Monitoring & alerts "Show my model call stats, failures and logs, and create an alert rule." Throughput reservations "List my throughput reservations and capacity instances, then scale, renew or release capacity and wait for the operation to finish." Model selection "Recommend a model for image understanding and customer support." Decision model "Use the Bailian decision model to route this ticket and assess whether it needs escalation." 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 Authentication Console Login (OAuth, Recommended) Required for console capability commands (model list, app list, MCP list, workspace, usage queries, rate-limit increases, direct console calls). It can create an ordinary API key when needed. Token Plan and other subscription plans cannot use --console; use the API Key login below. bl auth login --console Use --console-site international for the international console. The CLI always prints the login URL. To choose a browser yourself, keep the command running and open the URL on the same machine: bl auth login --console --no-browser --console-site international If the browser blocks the local callback, check the console site's local-network permission or try Firefox. The PNA compatibility header does not bypass Chrome's local-network permission or Safari's mixed-content restrictions. No callback within 15 minutes is a failure (exit code 5), not a successful login. If you already have a valid console access token, import it via stdin without a browser or local callback server. Specify the token's actual region and site; for exam