qtype 0.1.7

DSL for Generative AI Prototyping

QType

QType is a domain-specific language (DSL) for rapid prototyping of AI applications.
It is designed to help developers define modular, composable AI systems using a structured YAML-based specification. QType supports models, prompts, tools, retrievers, and flow orchestration, and is extensible for code generation or live interpretation.

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🚀 Quick Start

Install QType:

pip install qtype[interpreter]

Create a file hello_world.qtype.yaml that answers a question:

id: hello_world
flows:
  - id: chat_example
    description: A simple chat flow with OpenAI
    mode: Chat
    steps:
      - id: llm_inference_step
        model: 
          id: gpt-4
          provider: openai
          auth: 
            id: openai_auth
            type: api_key
            api_key: ${OPENAI_KEY}
        system_message: |
          You are a helpful assistant.
        inputs:
          - id: user_message
            type: ChatMessage
        outputs:
          - id: response
            type: ChatMessage

Put your openai api key into your .env file:

echo "OPENAI_KEY=sk...." >> .env

Validate it's semantic correctness:

qtype validate hello_world.qtype.yaml 

You should see:

INFO: ✅ Schema validation successful.
INFO: ✅ Model validation successful.
INFO: ✅ Language validation successful
INFO: ✅ Semantic validation successful

Launch the interpreter:

qtype serve hello_world.qtype.yaml`

And go to http://localhost:8000/ui to see the user interface for your application:

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See the full docs for more examples and guides.

🤝 Contributing

Contributions welcome! Please follow the instructions in the contribution guide.

📄 License

This project is licensed under the MIT License.
See the LICENSE file for details.

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🧠 Philosophy

QType is built around modularity, traceability, and rapid iteration. It aims to empower developers to quickly scaffold ideas into usable AI applications without sacrificing maintainability or control.

Stay tuned for upcoming features like:

• Integrated OpenTelemetry tracing
• Validation via LLM-as-a-judge
• UI hinting via input display types
• Flow state switching and conditional routing

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Happy hacking with QType! 🛠️