The ibm-watsonx-ai library¶
The ibm-watsonx-ai Python library allows you to work with IBM watsonx.ai services. You can train, store, and deploy
your models, score them using APIs, and finally integrate them with your application development.
For supported product offerings refer to Product Offerings section.
- Installation
- Setup
- Best Practices
- Overview
- Best Practices
- Keep Your SDK Up to Date
- Authentication Setup
- Discover Available Models
- Efficient Model Inference
- Install RAG Dependencies
- Respect Rate Limits and Quotas
- Leverage Documentation Resources
- Enable Logging for Debugging
- Handle API Exceptions Properly
- Configure HTTP Client for Better Performance
- Use Asynchronous Methods
- Switch Between Projects and Spaces
- Configure SSL Verification Properly
- Use Modern Naming Conventions
- Thread-Safe Client Usage
- Customize HTTPX Logging with Event Hooks
- Access Authentication Tokens Securely
- API
- Examples
- Migration from
ibm_watson_machine_learning - V1 Migration Guide
- Changelog
- 1.5.14
- 1.5.13
- 1.5.11
- 1.5.10
- 1.5.9
- 1.5.6
- 1.5.5
- 1.5.4
- 1.5.2
- 1.5.1
- 1.5.0
- 1.4.11
- 1.4.10
- 1.4.9
- 1.4.7
- 1.4.6
- 1.4.5
- 1.4.4
- 1.4.3
- 1.4.2
- 1.4.1
- 1.4.0
- 1.3.40
- 1.3.39
- 1.3.38
- 1.3.37
- 1.3.36
- 1.3.35
- 1.3.34
- 1.3.33
- 1.3.32
- 1.3.31
- 1.3.30
- 1.3.29
- 1.3.28
- 1.3.27
- 1.3.26
- 1.3.25
- 1.3.24
- 1.3.23
- 1.3.22
- 1.3.21
- 1.3.20
- 1.3.19
- 1.3.18
- 1.3.17
- 1.3.16
- 1.3.15
- 1.3.14
- 1.3.13
- 1.3.12
- 1.3.11
- 1.3.8
- 1.3.6
- 1.3.5
- 1.3.3
- 1.3.2
- 1.3.1
- 1.3.0
- 1.2.10
- 1.2.9
- 1.2.8
- 1.2.7
- 1.2.6
- 1.2.5
- 1.2.4
- 1.2.2
- 1.2.1
- 1.1.26
- 1.1.25
- 1.1.24
- 1.1.23
- 1.1.22
- 1.1.17
- 1.1.16
- 1.1.15
- 1.1.14
- 1.1.13
- 1.1.12
- 1.1.11
- 1.1.10
- 1.1.9
- 1.1.8
- 1.1.7
- 1.1.6
- 1.1.5
- 1.1.4
- 1.1.3
- 1.1.2
- 1.1.1
- 1.1.0
- 1.0.10
- 1.0.9
- 1.0.8
- 1.0.6
- 1.0.5
- 1.0.4
- 1.0.3
- 1.0.2
- 1.0.1
- 1.0.0