* feat(backend): logic to disable enums based on python logic
* feat(backend): add behave as setting and clarify its purpose and APP_ENV
APP_ENV is used for not cloud vs local but the application environment such as local/dev/prod so we need BehaveAs as well
* fix(backend): various uses of AppEnvironment without the Enum or incorrectly
AppEnv in the logging library will never be cloud due to the restrictions applied when loading settings in by pydantic settings. This commit fixes this error, however the code path for logging may now be incorrect
* feat(backend): use a metaclass to disable ollama in the cloud environment
* fix: formatting
* fix(backend): typing improvements
* fix(backend): more linting 😭
* feat(frontend,backend): testing
* feat: testing
* feat(backend): it works for reading email
* feat(backend): more docs on google
* fix(frontend,backend): formatting
* feat(backend): more logigin (i know this should be debug)
* feat(backend): make real the default scopes
* feat(backend): tests and linting
* fix: code review prep
* feat: sheets block
* feat: liniting
* Update route.ts
* Update autogpt_platform/backend/backend/integrations/oauth/google.py
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
* Update autogpt_platform/backend/backend/server/routers/integrations.py
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
* fix: revert opener change
* feat(frontend): add back opener
required to work on mac edge
* feat(frontend): drop typing list import from gmail
* fix: code review comments
* feat: code review changes
* feat: code review changes
* fix(backend): move from asserts to checks so they don't get optimized away in the future
* fix(backend): code review changes
* fix(backend): remove google specific check
* fix: add typing
* fix: only enable google blocks when oauth is configured for google
* fix: errors are real and valid outputs always when output
* fix(backend): add provider detail for debuging scope declines
* Update autogpt_platform/frontend/src/components/integrations/credentials-input.tsx
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
* fix(frontend): enhance with comment, typeof error isn't known so this is best way to ensure the stringifyication will work
* feat: code review change requests
* fix: linting
* fix: reduce error catching
* fix: doc messages in code
* fix: check the correct scopes object 😄
* fix: remove double (and not needed) try catch
* fix: lint
* fix: scopes
* feat: handle the default scopes better
* feat: better email objectification
* feat: process attachements
turns out an email doesn't need a body
* fix: lint
* Update google.py
* Update autogpt_platform/backend/backend/data/block.py
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
* fix: quit trying and except failure
* Update autogpt_platform/backend/backend/server/routers/integrations.py
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
* feat: don't allow expired states
* fix: clarify function name and purpose
* feat: code links updates
* feat: additional docs on adding a block
* fix: type hint missing which means the block won't work
* fix: linting
* fix: docs formatting
* Update issues.py
* fix: improve the naming
* fix: formatting
* Update new_blocks.md
* Update new_blocks.md
* feat: better docs on what the args mean
* feat: more details on yield
* Update new_blocks.md
* fix: remove ignore from docs build
---------
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
* add ideogram ai image gen
* fixed revid secret api key being removed
* fixed auto checks errors
* Add AI Upscale option to IdeogramModelBlock
- Introduced an 'Upscale Image' option in the input schema to allow users to upscale generated images.
- Created the 'UpscaleOption' enum with options 'AI Upscale' and 'No Upscale'.
- Implemented the 'upscale_image' method to download the generated image into RAM and send it to the Ideogram AI upscale API without saving it to disk.
- Updated the 'run' method to handle the upscaling process based on the user's input.
- Ensured that the image processing is done entirely in memory (RAM) without writing to disk.
- Updated test inputs and mocks to reflect the new 'Upscale Image' option.
---------
Co-authored-by: Aarushi <50577581+aarushik93@users.noreply.github.com>
* updates to tutorial
* updates to get user to save
* Update tutorial.ts
* final updates to end of tutorial
* Prettier
* add back data-id for badge within the blocks
* Prettier
* Updated onOpenChange code style
* modifying how handle text is rendered
* Rounding input boxes
* Modifying layout of nodes
* formatting
* update edge start / end positions
* updated handle rendering
* moved outputs down and disabled toggle
* formatting
* update font
* update key name formatting
* modify layout of input items
* updated the add property button
* feat(platform): Sync on new UI design
* simplify UI
* block list add border and remove padding
* add highlight on navbar button
* Change block header so block costs line up correctly
* fix history type issue
* formatting
* tweaking css to hide white spot
* fixed white spot
* Added context menu
* Changed status badge color
* getting error colors just right
* Added a NodeOutputs component for rendering the outputs
* tidy up
* Change Add Item Button Color
* changed cursor on hover in block control panel
* formatting
* updated formatting of tutoral and tally buttons
* fix(platform): Fix text area input not updating input field
* Address comments
* Add missing color
* fix lint errors
* Cleanup context logic
* Make inputref reliable
* Update coloring
* fix(platform): Fix unexpected closing block list on tutorial
* Add X-scrolling
* Remove excessive shadows
* Remove another excessive shadows
* Another patch patch patch
* Add border on context menu
* Cleanup executions
* Cleanup executions
* Makr border darker
* Make border darker
* Fix input reset
---------
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
- refactor(blocks): Assign new IDs to 13 blocks
- Create DB migration to update block IDs in existing DB entities
- feat(frontend): Add `updateBlockIDs` "middleware" to `AgentImportForm` loader in front end
* feat(blocks): Add AIShortformVideoCreatorBlock
- Added a new block called AIShortformVideoCreatorBlock to create shortform videos using revid.ai.
- The block takes input parameters such as script, background music, and voice ID.
- It uses the revid.ai API to create the video and waits for completion using a webhook proxy service.
- Once the video is ready, it returns the URL of the created video.
- This block takes anywhere from 5 seconds to several minutes to complete depending on the length of the video.
Add revid.ai API key to Secrets
- Added a new field in the Secrets class to store the revid.ai API key.
* refactor(blocks): Remove unused webhook code in AIShortformVideoCreatorBlock
* Add background music track options.
* Add preset voice options
* Add generation preset and visual style configuration options.
* Remove "morpher" video type due to long generation times and low quality.
Plus extend timeout cut-off.
* Add audio track configuration options.
* refactor AudioTrack selection into single class
* format
* Add test mocks
* run format
* Added Replicate Flux Blocks
* updated poetry lock file for replicate
* Refactor ReplicateFluxAdvancedModelBlock to use an enum for replicate_model_name rather than free strings.
* Refactor ReplicateFluxAdvancedModelBlock to use an enum for output_format instead of free strings
* Refactor ReplicateFluxAdvancedModelBlock to stop requiring people to type a random seed
* Refactor ReplicateFluxAdvancedModelBlock to stop requiring people to type a random seed
* run format
* poetry run format
* Delete ReplicateFluxBasicModelBlock
* Mark model name as not advanced
* tweak input order
* Fix test
---------
Co-authored-by: Toran Bruce Richards <toran.richards@gmail.com>
