This pull request adds the `max_input` and `max_tokens` parameters to
the `KnowledgeBrainQA` constructor. These parameters allow for setting
the maximum input length and maximum number of tokens for the
KnowledgeBrainQA model. This provides more flexibility and control over
the input size and tokenization process.
This pull request reduces the sampling rate for Sentry traces to 0.1.
This change ensures that only a small percentage of traces are captured,
which helps to reduce the impact on performance and storage.
This pull request fixes the `get_brain_details` API by adding a
`user_id` parameter. Previously, the API did not include the `user_id`
parameter, which caused issues when retrieving brain details. This fix
ensures that the `user_id` is passed correctly to the API, allowing for
accurate retrieval of brain details.
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This pull request adds a new attribute, max_files, to the
MinimalUserBrainEntity class in the BrainsUsers repository. The
max_files attribute represents the maximum number of files allowed for a
brain integration.
This pull request adds Redis configuration to the `celery_config.py`
file. The `CELERY_BROKER_URL` has been replaced with `REDIS_HOST`,
`REDIS_PORT`, and `REDIS_PASS` environment variables to configure the
Redis broker and backend. This change allows for better integration with
Redis in the application.
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This pull request updates the brain authorization and integration
entities. It includes changes to the `retrieve_brain_by_id`,
`update_existing_brain`, `update_existing_brain_secrets`,
`CreateApiBrainDefinition`, `CreateIntegrationBrain`,
`BrainIntegrationSettings`, `BrainIntegrationUpdateSettings`,
`CreateBrainProperties`, and `BrainUpdatableProperties` classes.
This pull request adds a new method called `calculate_pricing` to the
`GPT4Brain` class in the codebase. This method calculates the pricing
for the GPT4Brain model. Additionally, the user usage in the chat
controller has been updated to include the new pricing calculation
method.
This pull request updates the system templates to include support for
custom personality. It adds a new parameter called "custom_personality"
to the generate_stream function, which allows users to provide a custom
personality for the AI assistant. This feature enhances the user
experience by allowing them to personalize the assistant's responses.
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---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
added ocr
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# Description
* This just corrects the word response in the function that reads chat
history.
* I have also noticed a little automatic change due to formatting. But
the update seems to be inline with the accepted formatting of this
project so I kept it.
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improve speed by using memoisation
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moved to brains
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Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
now you can download & view pdf
# Description
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## Screenshots (if appropriate):
