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Installation

QType can be installed in two different ways depending on your needs:

For full functionality including the ability to execute QType flows, serve them as APIs, and launch user experiences, install with the interpreter extra:

uv add qtype[interpreter]

pip install qtype[interpreter]

Base Package Installation

The base QType package provides core functionality for defining, validating, and generating schemas for QType specifications:

uv add qtype

uvx qtype

pip install qtype

What's included in the base package:

  • Schema validation: Validate your QType YAML files against the specification
  • Schema generation: Generate JSON schemas for your QType specifications
  • File conversion: Convert between different QType formats
  • Core DSL components: Define models, prompts, tools, and flows
  • Basic CLI commands: validate, generate, convert

Additional capabilities with the interpreter package:

  • Flow execution: Run QType flows locally with the run command
  • UI and API serving: Serve QType flows as web UI and APIs with the serve command
  • Multiple model Providers: Support for AWS Bedrock, OpenAI, and other LLM providers
  • Embeddings and Detrieval: Built-in support for vector embeddings and retrieval
  • Observability: Integrated telemetry and tracing with OpenTelemetry

Additional dependencies:

  • boto3 - AWS SDK for Bedrock and other AWS services
  • fastapi - Web framework for serving APIs
  • uvicorn - ASGI server for FastAPI
  • llama-index - LLM application framework with embeddings support
  • arize-phoenix-otel - OpenTelemetry instrumentation

Requirements

  • Python 3.10 or higher
  • Operating systems: macOS, Linux, Windows

Verification

After installation, verify that QType is working correctly:

# Check installation
qtype --help

# Validate a sample spec (base package)
qtype validate examples/hello_world.qtype.yaml

# Run a flow (interpreter package only)
qtype run flow '{"user_message":"Hello, world!"}' examples/hello_world.qtype.yaml