OpenAI Assistants<\/h2>\n
\n A few weeks ago, we demonstrated building a simple Assistant<\/a> in the OpenAI Playground \u2013 uploading files, setting a system prompt, and performing RAG-assisted queries \u2013 mimicking this Azure demo<\/a>. To refresh your memory, Figure 1 shows the Assistant configuration:\n<\/p>\n \n \n We are going to reference this specific assistant, which has been configured in the playground, from an Android app. After the assistant is created, a unique identifier is displayed under the assistant name (see Figure 2), which can be referenced via the API.\n<\/p>\n \n \n The openai-kotlin<\/a> GitHub repo contains some basic instructions<\/a> for accessing the Assistant API in Kotlin. This guidance has been adapted to work in JetchatAI<\/em>, as shown in Figure 3. Comparing this file (AssistantWrapper.kt<\/strong>) to earlier examples (eg. OpenAIWrapper.kt<\/strong>) you\u2019ll notice it is significantly simpler! Using the Assistant API means:\n<\/p>\n \n Many lines of code over multiple files in older examples can be reduced to the Figure 3: new \n Assistants can also support function calling, but we haven\u2019t included any function demonstration in this sample.\n<\/p>\n \n To access the new Assistant channel in JetchatAI<\/em>, first choose #assistant-chat <\/strong>from the chat list:\n<\/p>\n \n \n You can now ask questions relating to the content of the five source PDF documents that were uploaded in the playground. The documents relate to employee policies and health plans of the fictitious Contoso\/Northwind organizations. There are two example queries and responses in the screenshot in Figure 5:\n<\/p>\n \n \n The Assistant API is still in preview, so it could change before the official release. The current JetchatAI<\/em> implementation needs some more work in error handling, resolving citations, checking for multiple assistant responses, implementing functions, and more. The takeaway from this week is how much simpler the Assistant API is to use versus implementing the Chat API directly.\n<\/p>\n \n Refer to the OpenAI blog<\/a> for more details on the Dev Day announcements, and the openai-kotlin repo<\/a> for updates on support for the new features.\u00a0\n<\/p>\n \n We\u2019d love your feedback on this post, including any tips or tricks you\u2019ve learned from playing around with ChatGPT prompts.\u00a0\n<\/p>\n \n If you have any thoughts or questions, use the feedback forum<\/a> or message us on Twitter @surfaceduodev<\/a>.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":" Hello prompt engineers, This week we\u2019re continuing to discuss the new Assistant API announced at OpenAI Dev Day. There is documentation available that explains how the API works and shows python\/javascript\/curl examples, but in this post we\u2019ll implement in Kotlin for Android and Jetpack Compose. You can review the code in this JetchatAI pull request. […]<\/p>\n","protected":false},"author":570,"featured_media":3627,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[741],"tags":[734,733],"class_list":["post-3623","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-chatgpt","tag-openai"],"acf":[],"blog_post_summary":" Hello prompt engineers, This week we\u2019re continuing to discuss the new Assistant API announced at OpenAI Dev Day. There is documentation available that explains how the API works and shows python\/javascript\/curl examples, but in this post we\u2019ll implement in Kotlin for Android and Jetpack Compose. You can review the code in this JetchatAI pull request. […]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/posts\/3623","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/users\/570"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/comments?post=3623"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/posts\/3623\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/media\/3627"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/media?parent=3623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/categories?post=3623"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-json\/wp\/v2\/tags?post=3623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"Screenshot](\"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-content\/uploads\/sites\/53\/2023\/11\/word-image-3623-1.png\")
![\"\"](\"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-content\/uploads\/sites\/53\/2023\/11\/a-close-up-of-a-computer-screen-description-autom.png\")
Building in Kotlin <\/h2>\n
\n
chat<\/code> function shown in Figure 3:\n<\/p>\nsuspend fun chat(message: String): String {\r\n if (assistant == null) { \/\/ open assistant and create a new thread every app-start\r\n assistant = openAI.assistant(id = AssistantId(Constants.OPENAI_ASSISTANT_ID)) \/\/ from the Playground\r\n thread = openAI.thread()\r\n }\r\n val userMessage = openAI.message (\r\n threadId = thread!!.id,\r\n request = MessageRequest(\r\n role = Role.User,\r\n content = message\r\n )\r\n )\r\n val run = openAI.createRun(\r\n threadId = thread!!.id,\r\n request = RunRequest(assistantId = assistant!!.id)\r\n )\r\n do\r\n {\r\n delay(1_000)\r\n val runTest = openAI.getRun(thread!!.id, run.id)\r\n } while (runTest.status != Status.Completed)\r\n val messages = openAI.messages(thread!!.id)\r\n val message = messages.first() \/\/ bit of a hack, get the last one generated\r\n val messageContent = message.content[0]\r\n if (messageContent is MessageContent.Text) {\r\n return messageContent.text.value\r\n }\r\n return \"<Assistant Error>\" \/\/ TODO: error handling\r\n}<\/pre>\nchat<\/code> function using a configured Assistant (by Id) using Kotlin API<\/em>\n<\/p>\nTry it out<\/h2>\n
![\"Screenshot](\"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-content\/uploads\/sites\/53\/2023\/11\/a-screenshot-of-a-chat-description-automatically-4.png\")
![\"Screenshot](\"https:\/\/devblogs.microsoft.com\/surface-duo\/wp-content\/uploads\/sites\/53\/2023\/11\/a-screenshot-of-a-chat-description-automatically-5.png\")
Next steps<\/h2>\n
Resources and feedback<\/h2>\n