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Releases: yifeifrank/aitagR

aitag v1.3.3

25 Nov 14:29
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Added response_format option for structural output

aitag v1.3.2

12 Aug 00:11
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Enhanced performance

aitag v1.3.1

10 Aug 08:43
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Updated easy to use functions, users are able to choose if they want to store result, and modify rate limit time.

aitag v1.3.0

09 Aug 12:55
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Enhanced avalibility, added support for obabooga and claude api.

aitag v1.2.0

15 May 10:11
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Rewritten the package using httr2

Now the function will only output one column (the response)

aitag v1.1.2

14 May 13:48
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prolonged timeout for pplx api

aitag v1.1.0

05 May 12:42
ea38cdd
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aitag version 1.1.0 includes some significant improvements and structural changes that will enhance workflow.
1. New Functionality:

  • We have updated the perplexity API. Please use tag_perplexity for accessing this feature going forward.
    2. Structural Changes:
  • The package now operates on individual columns rather than entire dataframes, simplifying the process and improving usability.
  • Additionally, the gpt_annotate function has been renamed to tag_gpt to better reflect its functionality.

aitag v1.0.0

20 Mar 08:01
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The initial release of the R package "aitag" provides two key functions to streamline the process of annotating files using the GPT API. The first function, gpt_annotate(), seamlessly interfaces with the GPT API to request annotations for the provided files. It efficiently processes the files, sends them to the API, and generates corresponding GPT-annotated files, saving valuable time and effort in the annotation workflow.
The second function, get_response(), offers a convenient way to retrieve and collate the annotated files generated by gpt_annotate(). It intelligently gathers the annotated files and transforms them into a structured R data object, enabling easy access and manipulation of the annotated data within the R environment. This function simplifies the process of integrating GPT-annotated data into downstream analysis and modeling tasks in R.

aitag v1.1.1

10 May 11:58
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updated the error handling method