diff options
Diffstat (limited to 'src/client/apis')
| -rw-r--r-- | src/client/apis/gpt/GPT.ts | 45 |
1 files changed, 23 insertions, 22 deletions
diff --git a/src/client/apis/gpt/GPT.ts b/src/client/apis/gpt/GPT.ts index 209e8e87e..e743f01f5 100644 --- a/src/client/apis/gpt/GPT.ts +++ b/src/client/apis/gpt/GPT.ts @@ -18,6 +18,11 @@ enum GPTCallType { TYPE = 'type', SUBSET = 'subset', INFO = 'info', + TEMPLATE = 'template', + VIZSUM = 'vizsum', + VIZSUM2 = 'vizsum2', + FILL = 'fill', + COMPLETEPROMPT = 'completeprompt', } type GPTCallOpts = { @@ -58,36 +63,33 @@ const callTypeMap: { [type: string]: GPTCallOpts } = { model: 'gpt-4-turbo', maxTokens: 1024, temp: 0, - prompt: "BRIEFLY (<50 words) describe any differences between the rubric and the user's answer answer in second person. If there are no differences, say correct", + prompt: 'List unique differences between the content of the UserAnswer and Rubric. Before each difference, label it and provide any additional information the UserAnswer missed and explain it in second person without separating it into UserAnswer and Rubric content and additional information. If there are no differences, say correct', }, - - rubric: { + template: { model: 'gpt-4-turbo', - maxTokens: 1024, - temp: 0, - prompt: "BRIEFLY (<25 words) provide a definition for the following term. It will be used as a rubric to evaluate the user's understanding of the topic", + maxTokens: 512, + temp: 0.5, + prompt: 'You will be given a list of field descriptions for multiple templates in the format {field #0: “description”}{field #1: “description”}{...}, and a list of column descriptions in the format {“title”: “description”}{...}. Your job is to match columns with fields based on their descriptions. Your output should be in the following JSON format: {“Template title”:{“#”: “title”, “#”: “title”, “#”: “title” …}, “Template title”:{“#”: “title”, “#”: “title”, “#”: “title” …}} where “Template title” represents the template, # represents the field # and “title” the title of the column assigned to it. A filled out example might look like {“fivefield2”:{“0”:”Name”, “1”:”Image”, “2”:”Caption”, “3”:”Position”, “4”:”Stats”}, “fivefield3”:{0:”Image”, 1:”Name”, 2:”Caption”, 3:”Stats”, 4:”Position”}. Include one object for each template. IT IS VERY IMPORTANT THAT YOU ONLY INCLUDE TEXT IN THE FORMAT ABOVE, WITH NO ADDITIONS WHATSOEVER. Do not include extraneous ‘#’ characters, ‘column’ for columns, or ‘template’ for templates: ONLY THE TITLES AND NUMBERS. There should never be one column assigned to more than one field (ie. if the “name” column is assigned to field 1, it can’t be assigned to any other fields) . Do this for each template whose fields are described. The descriptions are as follows:', }, - - type: { + vizsum: { model: 'gpt-4-turbo', - maxTokens: 1024, - temp: 0, - prompt: "I'm going to provide you with a question. Based on the question, is the user asking you to 1. Assigns docs with tags(like star / heart etc)/labels, 2. Filter docs, 3. Provide information about a specific doc 4. Provide a specific doc based on a question/information 5. Provide general information 6. Put cards in a specific order. Answer with only the number for 2-6. For number one, provide the number (1) and the appropriate tag", + maxTokens: 512, + temp: 0.5, + prompt: 'Your job is to provide brief descriptions for columns in a dataset based on example rows. Your descriptions should be geared towards how each column’s data might fit together into a visual template. Would they make good titles, main focuses, captions, descriptions, etc. Pay special attention to connections between columns, i.e. is there one column that specifically seems to describe/be related to another more than the rest? You should provide your analysis in JSON format like so: {“col1”:”description”, “col2”:”description”, …}. DO NOT INCLUDE ANY OTHER TEXT, ONLY THE JSON.', }, - - subset: { + vizsum2: { model: 'gpt-4-turbo', - maxTokens: 1024, - temp: 0, - prompt: "I'm going to give you a list of descriptions. Each one is separated by `======` on either side. Descriptions will vary in length, so make sure to only separate when you see `======`. Based on the question the user asks, provide a subset of the given descriptions that best matches the user's specifications. Make sure each description is only in the list once. Each item should be separated by `======`. Immediately afterward, surrounded by `------` on BOTH SIDES, provide some insight into your reasoning in the 2nd person (and mention nothing about the formatting details given in this description). It is VERY important that you format it exactly as described, ensuring the proper number of `=` and `-` (6 of each) and no commas", + maxTokens: 512, + temp: 0.5, + prompt: 'Your job is to provide structured information on columns in a dataset based on example rows. You will categorize each column in two ways: by type and size. The size categories are as follows: tiny (one or two words), small (a sentence/multiple words), medium (a few sentences), large (a longer paragraph), and huge (a very long or multiple paragraphs). The type categories are as follows: visual (links/file paths to images, pdfs, maps, or any other visual media type), and text (plain text that isn’t a link/file path). Visual media should be assumed to have size “medium” “large” or “huge”. You will give your responses in JSON format, like so: {“title (of column)”:{“type”:”text”, “size”:”small”}, “title (of column)”:{“type”:”visual”, “size”:”medium”}, …}. DO NOT INCLUDE ANY OTHER TEXT, ONLY THE JSON.', }, - - info: { + fill: { model: 'gpt-4-turbo', - maxTokens: 1024, - temp: 0, - prompt: "Answer the user's question with a short (<100 word) response. If a particular document is selected I will provide that information (which may help with your response)", + maxTokens: 512, + temp: 0.5, + prompt: 'Your job is to generate content for fields based on a user prompt and background context given to you. You will be given the content of the other fields present in the format: ---- Field # (field title): content ---- Field # (field title): content ----- (etc.) You will be given info on the columns to generate for in the format ---- title: , prompt: , word limit: , assigned field: ----. For each column, based on the prompt, word limit, and the context of existing fields, you should generate a short response in the following JSON format: {“___”(where ___ is the title from the column description with no additions): {“number”:”#” (where # is the assigned field of the column), “content”:”response” (where response is your response to the prompt in the column info)}}. Here’s another example of the format with only one column: {“position”: {“number”:”2”, “content”:”*your response goes here*”}}. ONLY INCLUDE THE JSON TEXT WITH NO OTHER ADDED TEXT. YOUR RESPONSE MUST BE VALID JSON. The word limit for each column applies only to that column’s response. Do not include speculation or information that you can’t glean from your factual knowledge or the content of the other fields (no description of images you can’t see, for example). You should include one object per column you are provided info on.', }, + completeprompt: { model: 'gpt-4-turbo', maxTokens: 512, temp: 0.5, prompt: 'Your prompt is as follows:' }, draw: { model: 'gpt-4o', maxTokens: 1024, @@ -101,7 +103,6 @@ const callTypeMap: { [type: string]: GPTCallOpts } = { prompt: 'You will be coloring drawings. You will be given what the drawing is, then a list of descriptions for parts of the drawing. Based on each description, respond with the stroke and fill color that it should be. Follow the rules: 1. Avoid using black for stroke color 2. Make the stroke color 1-3 shades darker than the fill color 3. Use the same colors when possible. Format as {#abcdef #abcdef}, making sure theres a color for each description, and do not include any additional text.', }, }; - let lastCall = ''; let lastResp = ''; /** |