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🚀 EDDI 6.5.0

19 LLM providers, knowledge bases that crawl your site and read your files, and conversations that follow compatible agent versionsWhat's new

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AlibabaFast and low-cost

Qwen 3.7 Plus

Qwen 3.7 Plus and Flash offer a 1M-token context, image and video input, hybrid thinking and function calling for multimodal agent work.

Strengths

  • 1M-token context, 131K output
  • Text, image and video input
  • Function calling
  • Screen and GUI understanding (Plus)

Best For

  • Multimodal agents
  • Visual code generation
  • Search agents (Flash)

Run It in EDDI

The fastest route is the Manager: open the agent wizard or the Platform Operator and pick the provider and model. To configure it yourself, follow these steps for the provider you want.

Alibaba Cloud Model Studio · type: "qwen"

Model ids: qwen3.7-plus, qwen3.7-flash

1. Store the credential

Add the provider's API key to the Secrets Vault in the Manager, or with PUT /secretstore/secrets/default/qwen-key, under the name used below. Configurations reference it as ${vault:…}, so the key never appears in plain text.

${vault:qwen-key}

2. Configure the LLM task

Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.

{
  "tasks": [
    {
      "actions": [
        "send_message"
      ],
      "id": "chat",
      "type": "qwen",
      "parameters": {
        "apiKey": "${vault:qwen-key}",
        "modelName": "qwen3.7-plus",
        "systemMessage": "You are a helpful assistant",
        "addToOutput": "true"
      }
    }
  ]
}

Or create the whole agent in one call

setup_agent writes the rules, LLM configuration and workflow, then deploys the agent. Call it over MCP or POST /administration/agents/setup.

setup_agent(
  agentName: "My qwen3.7-plus agent",
  systemPrompt: "You are a helpful assistant.",
  provider: "qwen",
  model: "qwen3.7-plus",
  apiKey: "${vault:qwen-key}"
)

Notes for EDDI

  • Pick a region with "region": "intl", "cn" or "us". For a workspace-specific Alibaba host, set baseUrl instead.
  • A good first tier in a model cascade: fast and inexpensive, escalating to a larger model only when confidence is low.

Related Models

Sources

The facts on this page come from the vendor's documentation, checked on 2026-09-30. Models change quickly, so confirm limits with the vendor before you rely on them. Prices are not listed here: see the vendor's pricing page.

Vendor documentation ↗ · Pricing ↗