Avoiding model lock in while building an AI Camel route

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Introduction In a previous blog post, we have seen how Camel parameter binding annotations could be used in conjunction with LangChain4J AI services to easily create Camel routes using Large Language Models. All this work is best reflected in a Camel Quarkus example. While building this example, poor care was taken about the choice of the LLM as this was not the initial priority. Thinking a bit more, this situation is a great opportunity to experience the switch of an LLM inside of a Camel application.

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Camel K 2.5.0

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© Charles Theodore Frere Apache Camel community is happy to announce the general availability of Camel K 2.5.0. In this release you will find several new features, fixes and a few deprecations that will simplify the project management in the long run. Default Runtime Let’s start highlighting the default runtime we are using in this release. The default is Camel K Runtime version 3.15.0 which is based on Camel Quarkus 3.

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