This pull request updates the integration types and classes in the
codebase. It includes the following commits:
- Update logo_url field in brain entity and integration_brain entity
- Update integration references in BrainsUsers and IntegrationBrain
classes
- Revert "Update integration references in BrainsUsers and
IntegrationBrain classes"
- Revert "Update logo_url field in brain entity and integration_brain
entity"
- Add 'doc' integration type and KnowledgeBrainQA class
Please review and merge these changes.
This pull request adds a custom integration feature and sync
functionality to the application. It includes the following changes:
- Added a new integration entity for custom integrations.
- Implemented the ability to load and poll the custom integration.
- Added a task to sync the custom integration with the user's brain.
- Updated the celery beat schedule to include the new task.
Please review and merge this pull request.
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.
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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## Screenshots (if appropriate):
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.
# Description
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## Checklist before requesting a review
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## Screenshots (if appropriate):
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.
# Description
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# Description
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# Description
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# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
# Description
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## Screenshots (if appropriate):
improve speed by using memoisation
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## Screenshots (if appropriate):
# Description
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## Screenshots (if appropriate):
moved to brains
# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
selection now fixed
# Description
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## Screenshots (if appropriate):
optimized number of calls
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# Description
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## Screenshots (if appropriate):
backend test fixed
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## Screenshots (if appropriate):
now updates
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## Screenshots (if appropriate):
adding metadata to api
# Description
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## Screenshots (if appropriate):
update vectors at launch if missign
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## Screenshots (if appropriate):
fixed when model is not choosen
# Description
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## Screenshots (if appropriate):
# DONE
- generate_stream, generate and save answer in BE
# TODO
- Create an intermediary make_streaming_recursive_tool_calls async
function
- Save intermediary answers in new message logs column then fetch and
display in front
to return a list of DocumentAnswer objects
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# Description
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## Screenshots (if appropriate):
