allow models to have a zero token limit

This allows for configuring completely unknown models. For these models
no token limit is known and we will simply do not apply any. Instead we
trust that the

allow models to have a zero token limit

This allows for configuring completely unknown models. For these models
no token limit is known and we will simply do not apply any. Instead we
trust that the model will be either large enough to handle our input or
at least throw useful error messages.

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allow to set arbitrary models

We now initialize a model configuration even if we have no info in
model.json using some default values for the token limits.

Models can implement the loadUnkonwModelI

allow to set arbitrary models

We now initialize a model configuration even if we have no info in
model.json using some default values for the token limits.

Models can implement the loadUnkonwModelInfo() method to fetch the info
from an API if such a thing exist. Implemented for gemini and ollama
currently.

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fix info output on used models

automatic stylefixes

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.