modelstudioai

modelstudioai / cli

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Official Aliyun Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.

bailian.console.aliyun.comcli agent aliyun cli happyhorse modelstudio
81
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100% credibility
Found May 29, 2026 at 114 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This is the official command-line tool for Aliyun Model Studio, a cloud-based AI platform. It lets you access powerful AI capabilities including text chat with Qwen models, image generation, video creation, speech synthesis, and image understanding — all from your terminal. The tool is published by Alibaba Cloud and integrates with their DashScope AI services.

How It Works

1
📦 Install the tool

You install the command-line tool on your computer using a simple installation command.

2
🔑 Connect your account

You link your Aliyun account by entering your API key, which lets the tool talk to the AI services.

3
💬 Chat with AI models

You can have conversations with powerful AI models like Qwen directly from your terminal, asking questions or getting help with tasks.

4
Choose what to create
🖼️
Generate images

Create new images from text descriptions using AI image generation

🎬
Generate videos

Turn images or text prompts into short video clips

👁️
Analyze images

Upload a photo and get AI-powered descriptions of what's in it

🔊
Create speech

Convert written text into natural-sounding audio

5
📁 Save your creations

Your generated content is automatically downloaded to your computer in organized folders.

✨ Your AI assistant is ready

Everything works together seamlessly — you have a powerful AI toolkit accessible from your command line whenever you need it.

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AI-Generated Review

What is cli?

Aliyun Model Studio CLI (package name: bailian-cli) is the official command-line interface for Alibaba's AI platform. It wraps every capability - text chat, image generation, video production, speech synthesis, knowledge retrieval, and memory management - into structured commands that feel like function calls. Built in TypeScript for Node.js, it uses a command-tree structure (think `bl text chat`, `bl image generate`, `bl video generate`) with configuration persistence, multi-format output (text/JSON), and auth via API key or browser-based OAuth. The `--dry-run` flag lets you preview any request without sending it, and the pipeline system lets you compose multi-step workflows from a YAML file.

Why is it gaining traction?

The hook is composition: one tool handles text, vision, audio, video, and agents without switching contexts. The README shows a 2-minute cinematic video generated end-to-end from a single Chinese prompt - that's a concrete demo of an AI agent orchestrating HappyHorse for video, with zero manual editing. The CLI exports tool schemas compatible with Anthropic and OpenAI formats via `bl config export-schema`, so dropping it into existing agent frameworks is frictionless. Local file paths auto-upload to temporary storage (48h validity), removing the upload step developers usually have to handle separately. The pipeline executor supports conditional logic, API calls, and JS scripting within YAML definitions.

Who should use this?

Backend developers building agentic workflows that need to call Qwen models or manage memory/sessions. Teams already on Aliyun infrastructure who want scriptable access to DashScope without writing raw HTTP calls. Developers building automation pipelines that mix image generation, video synthesis, and text chat in sequence. It's not for beginners - Node.js 22.12+ is required, and you need a DashScope API key or Alibaba Cloud credentials for most commands.

Verdict

At 81 stars with a 1.0% credibility score, this is a young project with minimal community validation. The feature set is genuinely broad (video, audio, multimodal, pipelines) and the export-schema functionality shows thoughtful agent-integration design. Documentation exists but test coverage and public examples are thin. Worth evaluating if you're already in the Alibaba ecosystem or need Qwen/HappyHorse capabilities; for general-purpose CLI tooling, wait for more traction before betting production workflows on it.

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