* docker-compose for production frontend
* fix: Remove external Redis port mapping for Coolify compatibility
Redis should only be accessible within the internal Docker network in Coolify deployments to avoid port conflicts with other applications.
* fix: Remove external port mapping for web service in Coolify
Coolify handles port exposure through its proxy (Traefik), so services should not expose ports directly in the docker-compose file.
* server side client envs
* missing vars
* nextjs experimental
* fix claude 'fix'
* remove build env vars compose
* docker
* remove ports for coolify
* review
* cleanup
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Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
* fix: refactor modal API key configuration for better separation of concerns
- Split generic MODAL_API_KEY into service-specific keys:
- TRANSCRIPT_API_KEY for transcription service
- DIARIZATION_API_KEY for diarization service
- TRANSLATE_API_KEY for translation service
- Remove deprecated *_MODAL_API_KEY settings
- Add proper validation to ensure URLs are set when using modal processors
- Update README with new configuration format
BREAKING CHANGE: Configuration keys have changed. Update your .env file:
- TRANSCRIPT_MODAL_API_KEY → TRANSCRIPT_API_KEY
- LLM_MODAL_API_KEY → (removed, use TRANSCRIPT_API_KEY)
- Add DIARIZATION_API_KEY and TRANSLATE_API_KEY if using those services
* fix: update Modal backend configuration to use service-specific API keys
- Changed from generic MODAL_API_KEY to service-specific keys:
- TRANSCRIPT_MODAL_API_KEY for transcription
- DIARIZATION_MODAL_API_KEY for diarization
- TRANSLATION_MODAL_API_KEY for translation
- Updated audio_transcript_modal.py and audio_diarization_modal.py to use modal_api_key parameter
- Updated documentation in README.md, CLAUDE.md, and env.example
* feat: implement auto/modal pattern for translation processor
- Created TranscriptTranslatorAutoProcessor following the same pattern as transcript/diarization
- Created TranscriptTranslatorModalProcessor with TRANSLATION_MODAL_API_KEY support
- Added TRANSLATION_BACKEND setting (defaults to "modal")
- Updated all imports to use TranscriptTranslatorAutoProcessor instead of TranscriptTranslatorProcessor
- Updated env.example with TRANSLATION_BACKEND and TRANSLATION_MODAL_API_KEY
- Updated test to expect TranscriptTranslatorModalProcessor name
- All tests passing
* refactor: simplify transcript_translator base class to match other processors
- Moved all implementation from base class to modal processor
- Base class now only defines abstract _translate method
- Follows the same minimal pattern as audio_diarization and audio_transcript base classes
- Updated test mock to use _translate instead of get_translation
- All tests passing
* chore: clean up settings and improve type annotations
- Remove deprecated generic API key variables from settings
- Add comments to group Modal-specific settings
- Improve type annotations for modal_api_key parameters
* fix: typing
* fix: passing key to openai
* test: fix rtc test failing due to change on transcript
It also correctly setup database from sqlite, in case our configuration
is setup to postgres.
* ci: deactivate translation backend by default
* test: fix modal->mock
* refactor: implementing igor review, mock to passthrough
* build: move to uv
* build: add packages declaration
* build: move to python 3.12, as sentencespiece does not work on 3.13
* ci: remove pre-commit check, will be done in another branch.
* ci: fix name checkout
* ci: update lock and dockerfile
* test: remove event_loop, not needed in python 3.12
* test: updated test due to av returning AudioFrame with 4096 samples instead of 1024
* build: prevent using fastapi cli, because there is no way to set default port
I don't want to pass --port 1250 every time, so back on previous
approach. I deactivated auto-reload for production.
* ci: remove main.py
* test: fix quirck with httpx
