Kodexa Module Authoring FAQs

Question 1

Does this skill validate inference options?

Accepted Answer

Yes, it helps you define inference options using the correct schema, ensuring that user-configurable parameters like string selects, booleans, and numbers are correctly mapped to your Python function.

Question 2

Can I configure deployment settings with this skill?

Accepted Answer

Yes, it supports configuring container settings, memory allocation, replica counts, and environment variables for both containerized and serverless deployments.

Question 3

How does this skill help with Python development?

Accepted Answer

It generates boilerplate code for inference functions and event handlers, including 'magic parameter' injection for objects like documents, status reporters, and pipeline contexts.

Question 4

What are sidecars in the context of Kodexa modules?

Accepted Answer

Sidecars are additional modules loaded into the system path before your module executes, providing shared dependencies like LLM utilities or LangChain integrations.

Question 5

What is the difference between a Kodexa model module and a skill module?

Accepted Answer

Model modules contain executable Python code for document processing and require a defined runtime, while skill modules are collections of files like prompts, tools, and configurations that are downloaded to a environment.

Kodexa Module Authoring

主要功能

使用场景

Kodexa Module Authoring

主要功能

使用场景