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Inline completion support #582

Merged
merged 3 commits into from
Jan 19, 2024
Merged

Inline completion support #582

merged 3 commits into from
Jan 19, 2024

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krassowski
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@krassowski krassowski commented Jan 15, 2024

I thought that maybe opening the PR into the main branch to expose the autocomplete branch could be useful to track the progress on getting the completion into the main. For reference the previous PRs were:

Please do let me know what remains to be done to enable merging this and publishing a pre-release to allow wider user testing.

@krassowski krassowski added the enhancement New feature or request label Jan 15, 2024
@dlqqq
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dlqqq commented Jan 16, 2024

@krassowski Thanks for opening this! 🤗 I'm wrapping up a PR to fix a few issues in the frontend that I had noticed. Unfortunately, last week our releases got broken, so I had to dedicate some time to that. I'm hoping to open the frontend PR by tonight, and then after that's merged, this PR should be ready (pending final tests & review). Once it's ready, I'll approve, merge, and release this.

There's still no user documentation, but I think that can be addressed quickly as a follow-up after the feature is released, since the documentation is updated on merge rather than on release. 👍

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dlqqq commented Jan 16, 2024

Also, until JupyterLab v4.1.0 is released, I agree that the first release of this will be a pre-release not installed by default when running pip install jupyter-ai. @krassowski When cutting a pre-release via Jupyter Releaser, do I just need to put beta in the "Post Version Specifier" section?

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krassowski commented Jan 16, 2024

When cutting a pre-release via Jupyter Releaser, do I just need to put beta in the "Post Version Specifier" section?

I believe so (not sure about the exact format, e.g. b or beta0 etc). You should be able to see from the logs in step 1 prep-release whether it had the desired effect on version numbers.

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jtpio commented Jan 16, 2024

According to:

version-cmd = "../../scripts/bump-version.sh"

it looks like it's using the following script for bumping the versions? https://github.com/jupyterlab/jupyter-ai/blob/main/scripts/bump-version.sh

Also looking at the commit history it looks like the "Post version specifier" may not be used.

So in this particular case for releasing an alpha version, maybe specifying a lerna-compatible version spec as the " New Version Specifier " may be enough? For example 2.10.0-alpha.0, or preminor?

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jtpio commented Jan 16, 2024

In any case, you can try running the "1. Prep Release" workflow and check the version is correct in the draft GitHub Release. If it's not, then the draft GitHub release can be deleted and you can run the workflow again.

@dlqqq dlqqq marked this pull request as draft January 17, 2024 19:53
@dlqqq dlqqq self-requested a review January 19, 2024 21:43
@dlqqq dlqqq marked this pull request as ready for review January 19, 2024 21:43
dlqqq and others added 3 commits January 19, 2024 13:43
* Draft inline completions implementation (server side)

* Implement inline completion provider (front)

* Add default debounce delay and error handling (front)

* Add `gpt-3.5-turbo-instruct` because text- models are deprecated.

OpenAI specifically recommends using `gpt-3.5-turbo-instruct` in
favour of text-davinci, text-ada, etc. See:
https://platform.openai.com/docs/deprecations/

* Improve/fix prompt template and add simple post-processing

* Handle missing `registerInlineProvider`, handle no model in name

* Remove IPython mention to avoid confusing languages

* Disable suggestions in markdown, move language logic

* Remove unused background and clip path from jupyternaut

* Implement toggling the AI completer via statusbar item

also adds the icon for provider re-using jupyternaut icon

* Implement streaming support

* Translate ipython to python for models, remove log

* Move `BaseLLMHandler` to `/completions` rename to `LLMHandlerMixin`

* Move frontend completions code to `/completions`

* Make `IStatusBar` required for now, lint
* do not import from pydantic directly

* refactor inline completion backend
* remove duplicate definition of inline completion provider

* rename completion variables, plugins, token to be more accurate

* abbreviate JupyterAIInlineProvider => JaiInlineProvider

* bump @jupyterlab/completer and typescript

* WIP: fix Jupyter AI completion settings

* Fix issues with settings population

* read from settings directly instead of using a cache

* disable Jupyter AI completion by default

* improve completion plugin menu items

* revert unnecessary edits to package manifest

* Update packages/jupyter-ai/src/components/statusbar-item.tsx

Co-authored-by: Michał Krassowski <[email protected]>

* tweak wording

---------

Co-authored-by: krassowski <[email protected]>
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dlqqq commented Jan 19, 2024

Rebased onto latest main. Need to do some more testing, then will approve & merge.

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dlqqq commented Jan 19, 2024

@jtpio Thanks for the guidance. I've run jupyter_releaser locally and it seems that the version is bumped correctly when passing a pre-release version to Jupyter Releaser with our config. So cutting a pre-release should work as expected 👍

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I've tested this branch with wheels built locally via Jupyter Releaser. This branch works as expected, including on JupyterLab 4.0.x where it merely logs a warning to the console.

This PR is good-to-go. Awesome work @krassowski! You'll be able to try it yourself in the upcoming 2.10.0-beta.0 pre-release. 🎉

@dlqqq dlqqq merged commit d1a9f40 into main Jan 19, 2024
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@ellisonbg
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This was a significant effort for a really importance piece of functionality. Thank you for @krassowski for starting this (and doing the prior work in JupyterLab) and for the review and help from @dlqqq

I can't wait to use this!

@dlqqq dlqqq deleted the autocomplete branch February 14, 2024 13:40
dbelgrod pushed a commit to dbelgrod/jupyter-ai that referenced this pull request Jun 10, 2024
* Inline code completions (jupyterlab#465)

* Draft inline completions implementation (server side)

* Implement inline completion provider (front)

* Add default debounce delay and error handling (front)

* Add `gpt-3.5-turbo-instruct` because text- models are deprecated.

OpenAI specifically recommends using `gpt-3.5-turbo-instruct` in
favour of text-davinci, text-ada, etc. See:
https://platform.openai.com/docs/deprecations/

* Improve/fix prompt template and add simple post-processing

* Handle missing `registerInlineProvider`, handle no model in name

* Remove IPython mention to avoid confusing languages

* Disable suggestions in markdown, move language logic

* Remove unused background and clip path from jupyternaut

* Implement toggling the AI completer via statusbar item

also adds the icon for provider re-using jupyternaut icon

* Implement streaming support

* Translate ipython to python for models, remove log

* Move `BaseLLMHandler` to `/completions` rename to `LLMHandlerMixin`

* Move frontend completions code to `/completions`

* Make `IStatusBar` required for now, lint

* Simplify inline completion backend (jupyterlab#553)

* do not import from pydantic directly

* refactor inline completion backend

* Autocomplete frontend fixes (jupyterlab#583)

* remove duplicate definition of inline completion provider

* rename completion variables, plugins, token to be more accurate

* abbreviate JupyterAIInlineProvider => JaiInlineProvider

* bump @jupyterlab/completer and typescript

* WIP: fix Jupyter AI completion settings

* Fix issues with settings population

* read from settings directly instead of using a cache

* disable Jupyter AI completion by default

* improve completion plugin menu items

* revert unnecessary edits to package manifest

* Update packages/jupyter-ai/src/components/statusbar-item.tsx

Co-authored-by: Michał Krassowski <[email protected]>

* tweak wording

---------

Co-authored-by: krassowski <[email protected]>

---------

Co-authored-by: David L. Qiu <[email protected]>
Marchlak pushed a commit to Marchlak/jupyter-ai that referenced this pull request Oct 28, 2024
* Inline code completions (jupyterlab#465)

* Draft inline completions implementation (server side)

* Implement inline completion provider (front)

* Add default debounce delay and error handling (front)

* Add `gpt-3.5-turbo-instruct` because text- models are deprecated.

OpenAI specifically recommends using `gpt-3.5-turbo-instruct` in
favour of text-davinci, text-ada, etc. See:
https://platform.openai.com/docs/deprecations/

* Improve/fix prompt template and add simple post-processing

* Handle missing `registerInlineProvider`, handle no model in name

* Remove IPython mention to avoid confusing languages

* Disable suggestions in markdown, move language logic

* Remove unused background and clip path from jupyternaut

* Implement toggling the AI completer via statusbar item

also adds the icon for provider re-using jupyternaut icon

* Implement streaming support

* Translate ipython to python for models, remove log

* Move `BaseLLMHandler` to `/completions` rename to `LLMHandlerMixin`

* Move frontend completions code to `/completions`

* Make `IStatusBar` required for now, lint

* Simplify inline completion backend (jupyterlab#553)

* do not import from pydantic directly

* refactor inline completion backend

* Autocomplete frontend fixes (jupyterlab#583)

* remove duplicate definition of inline completion provider

* rename completion variables, plugins, token to be more accurate

* abbreviate JupyterAIInlineProvider => JaiInlineProvider

* bump @jupyterlab/completer and typescript

* WIP: fix Jupyter AI completion settings

* Fix issues with settings population

* read from settings directly instead of using a cache

* disable Jupyter AI completion by default

* improve completion plugin menu items

* revert unnecessary edits to package manifest

* Update packages/jupyter-ai/src/components/statusbar-item.tsx

Co-authored-by: Michał Krassowski <[email protected]>

* tweak wording

---------

Co-authored-by: krassowski <[email protected]>

---------

Co-authored-by: David L. Qiu <[email protected]>
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4 participants