You can complete many of the tasks for watsonx programmatically with APIs.
To get started fast, go to the watsonx Developer Hub.
APIs for generative AI
You can work with foundation models programmatically to develop generative AI solutions by using:
For examples of how to use the foundation models Python library, see The ibm-watsonx-ai Python library.
APIs for machine learning
You can manage spaces, deployments, and assets programmatically by using:
For links to sample Jupyter Notebooks that demonstrate how to manage spaces, deployments, and assets programmatically, see Machine Learning Python client samples and examples.
APIs for AI Factsheets
You can manage settings, model entries, and report templates programmatically by using:
APIs for Watson OpenScale
You can manage data and settings for model evaluations programatically by using:
APIs for watsonx Governance console
If you have enabled the optional integration with the Governance console from IBM OpenPages, you can manage governance activities programmatically by using:
APIs for managing assets and collaborators
You can manage data-related assets and collaborators by using the Data and AI Common Core API.
APIs for connections
You can create connections by using the Connections in the Data and AI Common Core API.
Learn more
- watsonx.ai REST API docs
- The ibm-watsonx-ai Python library docs
- watsonx.ai Runtime REST API docs
- The ibm-watson-machine-learning Python library docs
- AI Factsheets REST API docs
- AI Factsheets Python library docs
- Data and AI Common Core API docs
- Connections in the Data and AI Common Core API docs
Parent topic: Getting started