{"id":3626,"date":"2025-02-21T19:18:08","date_gmt":"2025-02-21T13:48:08","guid":{"rendered":"https:\/\/www.rangakrish.com\/?p=3626"},"modified":"2025-02-21T19:18:08","modified_gmt":"2025-02-21T13:48:08","slug":"using-openai-from-mathematica-part-3","status":"publish","type":"post","link":"https:\/\/www.rangakrish.com\/index.php\/2025\/02\/21\/using-openai-from-mathematica-part-3\/","title":{"rendered":"Using OpenAI from Mathematica: Part-3"},"content":{"rendered":"

Let us continue our discussion on using Mathematica<\/strong><\/em> to interact with OpenAI<\/strong><\/em> (you may want to go through the earlier article<\/strong><\/em><\/a> as well).<\/p>\n

The simplest function to interact with the LLM<\/strong><\/em> is LLMSynthesize[]<\/strong><\/em>.<\/p>\n

\"Basic<\/a>
Basic LLMSynthesize<\/strong><\/figcaption><\/figure>\n

As you might have guessed, this is a \u201csync\u201d<\/strong><\/em> (non-streaming) call. What if you expect a long response and you don\u2019t want to wait for the complete answer to display, but instead want to display the chunks as and when received?<\/p>\n

The LLMSynthesizeSubmit[]<\/strong><\/em> function works in \u201cstreaming\u201d<\/strong><\/em> (async) mode. The following snippet demonstrates this:<\/p>\n

\"Streaming<\/a>
Streaming Mode Example<\/strong><\/figcaption><\/figure>\n

In the above, the variable \u201cresponse\u201d<\/strong><\/em> is dynamically<\/span> concatenated and updated whenever a chunk is received. It won\u2019t be obvious in the image, but you can see it when you execute the code in Mathematica<\/strong><\/em>.<\/p>\n

As a slight variant of the above code, if you want to keep track of the individual chunks, then the following snippet does that:<\/p>\n

\"Tracking<\/a>
Tracking Chunks in Streaming Mode<\/strong><\/figcaption><\/figure>\n

Another useful function is LLMTool[]<\/strong><\/em>. This is used to enable OpenAI\u2019s<\/strong> \u201cTool calling\u201d<\/strong><\/em> feature. Let us use this to check whether the given number is a Prime<\/strong><\/em> number:<\/p>\n

\"Using<\/a>
Using LLMTool Function<\/strong><\/figcaption><\/figure>\n

Here is an example that calculates the \u201cfactorial\u201d<\/strong><\/em> of a given number:<\/p>\n

\"Factorial<\/a>
Factorial Using LLMTool<\/strong><\/figcaption><\/figure>\n

As the final example, let us use a tool to find out the current temperature at select cities:<\/p>\n

\"Getting<\/a>
Getting Temperature Using LLMTool<\/strong><\/figcaption><\/figure>\n

These examples clearly demonstrate how the LLM<\/strong><\/em> can use \u201cexternal tools\u201d<\/strong><\/em> to do tasks that it cannot do directly.<\/p>\n

Incidentally, although I have configured my system to use OpenAI<\/strong><\/em> model (GPT-4o-mini<\/strong><\/em>), it is possible to use any other model as well.\u00a0<\/span><\/p>\n

I am hoping to see support for Agents<\/strong><\/em> in Mathematica<\/strong><\/em> in the near future!<\/p>\n

The Mathematica<\/strong><\/em> Notebook used in this article can be downloaded here<\/strong><\/em><\/a>. I used Mathematica 14.2<\/strong><\/em> for this article.<\/p>\n

Have a nice weekend!<\/p>\n","protected":false},"excerpt":{"rendered":"

Let us continue our discussion on using Mathematica to interact with OpenAI (you may want to go through the earlier article as well). The simplest function to interact with the LLM is LLMSynthesize[]. As you might have guessed, this is a \u201csync\u201d (non-streaming) call. What if you expect a long response and you don\u2019t want […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[72,388,17],"tags":[43,354],"class_list":["post-3626","post","type-post","status-publish","format-standard","hentry","category-mathematica","category-openai","category-programming","tag-mathematica","tag-openai"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p9OLnF-Wu","jetpack-related-posts":[{"id":3381,"url":"https:\/\/www.rangakrish.com\/index.php\/2024\/05\/20\/using-openai-from-mathematica\/","url_meta":{"origin":3626,"position":0},"title":"Using OpenAI from Mathematica","author":"admin","date":"May 20, 2024","format":false,"excerpt":"Mathematica was among the first to integrate with OpenAI. The functionality is nicely exposed in terms of a few pre-defined functions. Let us explore some of the functionality in today\u2019s article. The simplest way to get started is to use LLMSynthesize\u00a0function: It can take a few seconds before you get\u2026","rel":"","context":"In "Mathematica"","block_context":{"text":"Mathematica","link":"https:\/\/www.rangakrish.com\/index.php\/category\/mathematica\/"},"img":{"alt_text":"LLMSynthesize Function","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/05\/Example1-300x27.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/05\/Example1-300x27.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/05\/Example1-300x27.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":3514,"url":"https:\/\/www.rangakrish.com\/index.php\/2024\/10\/02\/using-openai-from-mathematica-part-2\/","url_meta":{"origin":3626,"position":1},"title":"Using OpenAI from Mathematica: Part-2","author":"admin","date":"October 2, 2024","format":false,"excerpt":"I had written an earlier article\u00a0showing how to use OpenAI models from Mathematica ver 14.0.\u00a0 Wolfram Mathematica ver 14.1 was released recently, with several improvements in the area of LLMs. Of course, there are many other core additions as well, but our focus is on LLMs in this article. This\u2026","rel":"","context":"In "Mathematica"","block_context":{"text":"Mathematica","link":"https:\/\/www.rangakrish.com\/index.php\/category\/mathematica\/"},"img":{"alt_text":"LLMSynthesize Function","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/10\/image1-300x71.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/10\/image1-300x71.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/10\/image1-300x71.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":3545,"url":"https:\/\/www.rangakrish.com\/index.php\/2024\/11\/09\/semantic-search-in-wolfram-mathematica\/","url_meta":{"origin":3626,"position":2},"title":"Semantic Search in Wolfram Mathematica","author":"admin","date":"November 9, 2024","format":false,"excerpt":"In an earlier article, I explained how to use OpenAI from Wolfram Mathematica ver 14.1. This latest release of Wolfram supports Semantic Search as well. In today\u2019s article, let me discuss this feature. As in the case of using LLMs, using Semantic Search requires an account with one of the\u2026","rel":"","context":"In "Mathematica"","block_context":{"text":"Mathematica","link":"https:\/\/www.rangakrish.com\/index.php\/category\/mathematica\/"},"img":{"alt_text":"Remedy Description","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/11\/image1-300x225.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/11\/image1-300x225.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2024\/11\/image1-300x225.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":3050,"url":"https:\/\/www.rangakrish.com\/index.php\/2023\/03\/16\/building-a-xojo-app-to-interact-with-openai-api\/","url_meta":{"origin":3626,"position":3},"title":"Building a Xojo App to Interact with OpenAI API","author":"admin","date":"March 16, 2023","format":false,"excerpt":"A few weeks ago I registered with OpenAI to access its services through API and created a secret Key for my use. I then decided to build a simple application to try out the \u201cChat\u201d and \u201cCompletion\u201d models. Since I have several tools at my disposal (RAD Studio, LispWorks, Allegro\u2026","rel":"","context":"In "OpenAI"","block_context":{"text":"OpenAI","link":"https:\/\/www.rangakrish.com\/index.php\/category\/openai\/"},"img":{"alt_text":"Initial Screen","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2023\/03\/Initial-Screen-300x232.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":2947,"url":"https:\/\/www.rangakrish.com\/index.php\/2022\/11\/24\/using-julia-from-mathematica\/","url_meta":{"origin":3626,"position":4},"title":"Using Julia from Mathematica","author":"admin","date":"November 24, 2022","format":false,"excerpt":"In an earlier article, I had shown how it is possible to interact with Mathematica from Julia. In today\u2019s article, I will share the details of how to interact with Julia from within Mathematica. Why would somebody want to execute Julia code inside Mathematica? Although Mathematica is a great symbolic\u2026","rel":"","context":"In "Julia"","block_context":{"text":"Julia","link":"https:\/\/www.rangakrish.com\/index.php\/category\/julia\/"},"img":{"alt_text":"Installing Julia","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2022\/11\/Julia-Shell.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2022\/11\/Julia-Shell.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2022\/11\/Julia-Shell.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":285,"url":"https:\/\/www.rangakrish.com\/index.php\/2016\/07\/22\/using-julia-to-interact-with-mathematica\/","url_meta":{"origin":3626,"position":5},"title":"Using Julia to Interact with Mathematica","author":"admin","date":"July 22, 2016","format":false,"excerpt":"Mathematica is a powerful environment for symbolic and numerical computation. I have been using it for many years now. In this post\u00a0I had explained how we can use Mathematica bundled with Raspberry distribution to control littleBits devices. When I saw that there is support in Julia for interacting with Mathematica,\u2026","rel":"","context":"In "Julia"","block_context":{"text":"Julia","link":"https:\/\/www.rangakrish.com\/index.php\/category\/julia\/"},"img":{"alt_text":"Julia Session","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/07\/Julia-1.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/07\/Julia-1.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/07\/Julia-1.png?resize=525%2C300 1.5x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/posts\/3626","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/comments?post=3626"}],"version-history":[{"count":0,"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/posts\/3626\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/media?parent=3626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/categories?post=3626"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rangakrish.com\/index.php\/wp-json\/wp\/v2\/tags?post=3626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}