move model configuration into json files

This removes the use of individual classes for each model in favor of
more general client classes that only get a model name passed. The meta
info about pric

move model configuration into json files

This removes the use of individual classes for each model in favor of
more general client classes that only get a model name passed. The meta
info about price and token limits is configured in a json file

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more refactoring on chat and embed model support

* differentiate between input and output tokens
* make use of much larger input contexts

first tries with Anthropic

stricter interface inheritance

This ensures we have the apropriate methods when a class does not
inherit from AbstractModel.

Use interfaces for Chat and Embedding classes

This way it's easier to have a base OpenAI class. This also moves much
of the statistics and http handling into the base class making model
implementati

Use interfaces for Chat and Embedding classes

This way it's easier to have a base OpenAI class. This also moves much
of the statistics and http handling into the base class making model
implementations even leaner

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First start on refactoring the class hierarchy

This splits embedding models from chat completion models.

�� Automatic code style fixes

�� Automatic code style fixes

support GPT4

added helper to quickly check the available models

refactoring to make models selectable

This makes it much easier to add new models. Models can now be selected
via the configuration