make ollama auth optional

move api endpoint init to AbstractModel

This should finally solve the chicken-egg issue. This also renames the
ollama url parameter from baseurl to apiurl and sets a sensible default

add option to always send full page context

introduce a "Generic" model

This is basically an OpenAI implementation, which then can be reused by
most other providers since they usually implement a somewhat compatible
API. The API URL can be se

introduce a "Generic" model

This is basically an OpenAI implementation, which then can be reused by
most other providers since they usually implement a somewhat compatible
API. The API URL can be set manually so it should be easy to add new
unsupported providers.

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exclude page parts from indexing using a regex

support the Google Gemini API

Add missing field for "Ollama" model configuration

added configurable custom prompt

This makes it easier to add to the existing internal prompt instead of
completely overwriting it using the localization mechanism.

added support for groq

Added support for reka.ai

make threshold configurable

automatic stylefixes

separate the rephrasing model from the chat model

Rephrasing can be done with faster, simpler models as there is not much
reasoning needed.

added Voyage AI for embeddings

clean up of the config options

Emojis are used to make the different options easier to distinguish

added Mistral to the list of models

populate settings automatically

Now we have a single place to specify new models

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

Regular expressions to limit the indexed pages. Implements #5

Both regular expressions (when set) need to apply at the same time. Eg a
page MUST match the matchRegex and MUST NOT match the skipRegex

Regular expressions to limit the indexed pages. Implements #5

Both regular expressions (when set) need to apply at the same time. Eg a
page MUST match the matchRegex and MUST NOT match the skipRegex to be
applied.

The regular expressions are applied when running the `embed` command
line command. Pages no longer adhering to a changed regex setup will be
removed from the vector store.

For the sqlite storage it is recommended to re-cluster the index when
the reges are changed by running the `maintenance` command.

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Added Qdrant Storage

Added ChromaDB vector storage support

�� Automatic code style fixes

optionally search one language only