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Alibaba Cloud Model Studio integration

Alibaba Cloud Model Studio (DashScope) OpenAI-compatible endpoint on the Singapore region host. Run Qwen text, vision and translation models through chat completions, build text embeddings, drive the stateful Responses API, and submit offline batch jobs by uploading a JSONL request file and polling the resulting batch. The compatible-mode surface deliberately covers only these areas: image generation, speech recognition and reranking live on the separate DashScope-native API and are not reachable here.

12 toolsTokenAPI docs
Connect Alibaba Cloud Model StudioHow integrations work

Common Alibaba Cloud Model Studio use cases

  • summarising a document with a Qwen model
  • checking which batch jobs are still running
  • finding the result file of a completed batch job
  • collecting the answers produced by an overnight batch job
  • embedding documents before storing them in a vector database
  • stopping a batch job that was submitted with the wrong prompt
  • checking the size of a batch result file before downloading it
  • submitting thousands of prompts for cheap overnight processing
  • waiting for a batch job to finish before collecting its results
  • classifying a large backlog of records overnight at the batch price

What you can do with Alibaba Cloud Model Studio

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

File, 5 operations

  • DELETEdelete_file

    Deletes a stored file.

  • GETget_file

    Retrieves file metadata by identifier.

  • GETget_file_content

    Downloads a file's contents as a stored file.

  • GETlist_files

    Lists uploaded batch files.

  • POSTupload_file

    Uploads a JSONL file for batch inference.

Batch, 4 operations

  • POSTcancel_batch

    Cancels a running batch job.

  • POSTcreate_batch

    Starts a batch inference job over an uploaded request file.

  • GETget_batch

    Retrieves a batch job's current status and result files.

  • GETlist_batches

    Lists batch inference jobs.

Chat completion, 1 operation

  • POSTcreate_chat_completion

    Generates a model reply from a list of chat messages.

Embedding, 1 operation

  • POSTcreate_embedding

    Creates embedding vectors for one or more texts.

Response, 1 operation

  • POSTcreate_response

    Generates a response using the Responses API shape.

Use Alibaba Cloud Model Studio from Claude Code, Cursor or Codex

Connect Alibaba Cloud Model Studio in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Alibaba Cloud Model Studio operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Alibaba Cloud Model Studio

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Alibaba Cloud Model Studio once

    Add your Alibaba Cloud Model Studio connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Alibaba Cloud Model Studio integration FAQ

What can you do with the Alibaba Cloud Model Studio integration?
LiveContext exposes 12 operations on Alibaba Cloud Model Studio, covering file, batch, chat completion and embedding. Common uses include summarising a document with a Qwen model, checking which batch jobs are still running and finding the result file of a completed batch job.

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