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# Description
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## Screenshots (if appropriate):
This pull request includes a feature update to the newest version of
litellm. This update brings in the latest enhancements and bug fixes to
improve the functionality and performance of the software.
# Description
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## Screenshots (if appropriate):
# Description
With this pull request, I add a fix that **enables Ollama**.
Running quivr in a Docker container, Ollama needs to be accessed via
http://host.docker.internal:11434.
This URL is defined as `api_base` of the `ChatLiteLLM` constructor. But
there are calls that are missing `api_base`. This leads to fallback URLs
being used. This is now fixed.
Fixes#2270#2267#2217#2204
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## Screenshots (if appropriate):
None
Co-authored-by: Niels Garve <niels.garve@experienceone.com>
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.
# Description
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# Description
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# Description
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# Description
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# Description
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# Description
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# Description
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# Description
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# Description
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## Screenshots (if appropriate):
This pull request removes constraints and adds foreign key references to
the brain tables in order to improve data integrity and enforce
referential integrity.
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 updates the origins in cors.py, origin in
resend_invitation_email.py, and referring_site in
add-new-email/index.ts. It also refactors the code in home/page.tsx and
next.config.js.
This pull request refactors the GitHub workflows for backend tests and
deployment to preview and production environments. The changes include
updating the workflow triggers, setting up Python versions, installing
system dependencies, and running pytest.
# Description
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## Screenshots (if appropriate):
This pull request removes the healthz endpoint from the Sentry
integration. The `before_send` function has been updated to drop
transaction events that contain 'healthz' in the transaction name. This
change ensures that healthz transactions are not sent to Sentry.
# Description
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# Description
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# Description
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This pull request updates the Sentry configuration to use the
`NEXT_PUBLIC_SENTRY_DSN` environment variable instead of `SENTRY_DSN`.
This ensures that the correct DSN is used for Sentry initialization.
This pull request updates the Sentry configuration file and adds a new
ignore file. The changes include:
- Updating the `SENTRY_DSN` environment variable to
`NEXT_PUBLIC_SENTRY_DSN`
- Updating the `@sentry/nextjs` package to version `7.102.1`
- Adding a new ignore file `.sentryclirc`
# Description
38de2e7440/docs/developers/contribution/llm/ollama.mdx (L20-L25)
Due to architectural changes in the file system, the ollama
documentation is out of date.
The sql files are now nested inside a `migrations` directory instead of
at the root of the supabase directory.
Fixed by adding `migrations` to the path
```bash
mv supabase/migrations/local_20240107152745_ollama.sql supabase/migrations/20240107152745_ollama.sql
supabase db reset
```
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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.
