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Qubrid AI

by qubridai · v0.1.0

OpenAI-compatible serverless models on the Qubrid AI Platform.

33 installsUpdated Jul 1, 2026
Publisher information is incomplete

This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Models

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

model

Version

0.1.0qubridai

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses model capability

Dependencies

No additional dependencies

Resources

Privacy policy
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Qubrid AI for Dify

OpenAI-compatible serverless models from the Qubrid AI Platform.

Source repository: github.com/QubridAI-Inc/Dify-Plugin

Contact: digital@qubrid.com

Setup

  1. In Dify, go to Plugins → Install plugin → Install from local package.
  2. Upload qubridai.difypkg (or install from the Dify Marketplace once published).
  3. Go to Settings → Model Provider → Qubrid AI → Set up.
  4. Enter your API key from platform.qubrid.com/api-keys.
  5. Leave API Base URL empty to use the default (https://platform.qubrid.com/v1), or set it explicitly.
  6. Save, then select a Qubrid model in any Dify app or workflow.

Usage

The plugin registers Qubrid AI as a model provider. Use it anywhere Dify supports LLMs: chat apps, agents, and workflows.

Predefined models are listed in the model picker. You can also add any other Qubrid model ID as a custom model.

Required credentials

CredentialRequiredDescription
API KeyYesQubrid API key from platform.qubrid.com/api-keys
API Base URLNoDefaults to https://platform.qubrid.com/v1

Connection requirements

Your Dify instance must be able to reach:

  • https://platform.qubrid.com (model inference and catalog API)

Outbound HTTPS (port 443) is required. No inbound ports or webhooks are needed.

Included models

The plugin ships 43 predefined chat models synced from the Qubrid catalog (/api/v1/models), including:

  • openai/gpt-oss-120b
  • Qwen/Qwen3.7-Max
  • meta-llama/Llama-3.3-70B-Instruct
  • deepseek-ai/DeepSeek-V3.2

You can also add any other Qubrid model ID as a custom model.

Privacy

See PRIVACY.md for what data this plugin sends to Qubrid and how credentials are handled.

Developer guide

These steps are for maintaining the plugin source, not for end-user installation.

Project layout

PathPurpose
manifest.yamlPlugin metadata
provider/Model provider definition
models/llm/Predefined model YAMLs and LLM implementation
catalog_utils.pyCatalog → Dify model mapping
scripts/Build, sync, and E2E test scripts
qubridai.difypkgPackaged plugin for local install

Refresh models from catalog

cd qubridai
source .venv/bin/activate
python scripts/sync_models_from_catalog.py              # local catalog file
python scripts/sync_models_from_catalog.py --source api # live API
bash scripts/build_plugin.sh                            # sync + package

E2E tests (local Dify)

cd qubridai
source .venv/bin/activate

# Smoke test: install plugin + single LLM workflow
python scripts/e2e_local_dify_test.py

# Complex workflows + agent-chat (branching, code→LLM, chains, tools, ReAct agents)
python scripts/e2e_complex_workflows_test.py

Requires local Dify at http://localhost and API keys configured for testing.

Rebuild the package

cd qubridai
bash scripts/build_plugin.sh