What is API versioning in AI applications?
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What is API versioning in AI applications?
API versioning is the practice of managing changes to an API over time, ensuring that existing clients continue to function while new features are added.
Why is API versioning important for AI services?
It's crucial because AI models evolve, and versioning allows developers to introduce improvements without breaking existing integrations.
What are common strategies for API versioning?
Common strategies include URI versioning, query parameter versioning, and header versioning, each with its pros and cons.
Can you give an example of URI versioning?
Sure! An example would be using URLs like /api/v1/models for version 1 and /api/v2/models for version 2.
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