OpenAI modules (cloned)

you can use the following openai (chatgpt, whisper) modules to build your scenarios the simple text prompt module requires no setup, while other modules require connecting to the openai (chatgpt, whisper) app if you encounter a 429 error, you've used all credits in your openai account or exceeded your monthly openai budget to adjust your billing, see the openai billing settings https //platform openai com/settings/organization/billing/overview get started simple text prompt on free plans and trials, the simple text prompt module supports only the gpt 5 nano model to use other models, upgrade to a paid plan generates a response based on a simple text prompt the simple text prompt module allows you to select a model and enter your prompt, no other setup is required field description model select the model that will generate the response text prompt enter text or instructions to generate the response the module uses credits based on the amount of input and output tokens consumed in each run input tokens depend on the prompt you enter, and output tokens are based on the response after each run, you can see exactly how many tokens were used in the module's output the table below shows how input and output tokens convert to make credits for openai models model name input tokens output tokens gpt 6 astra 90 tokens per credit 18 tokens per credit gpt 5 6 sol with over 272,000 token context 90 tokens per credit 20 tokens per credit gpt 5 6 sol 181 tokens per credit 30 tokens per credit gpt 5 6 terra with over 272,000 token context 226 tokens per credit 50 tokens per credit gpt 5 6 terra 452 tokens per credit 75 tokens per credit gpt 5 6 luna with over 272,000 token context 2260 tokens per credit 502 tokens per credit gpt 5 6 luna 4520 tokens per credit 753 tokens per credit gpt 5 5 181 tokens per credit 3 0 tokens per credit gpt 5 4 181 tokens per credit 40 tokens per credit gpt 5 4 nano 4520 tokens per credit 723 tokens per credit gpt 5 4 mini 1205 tokens per credit 201 tokens per credit gpt 5 4 with over 272,000 token context 181 tokens per credit 40 tokens per credit gpt 5 4 with up to 272,000 token context 361 tokens per credit 60 tokens per credit gpt 5 2 516 tokens per credit 64 tokens per credit gpt 5 1 723 tokens per credit 90 tokens per credit gpt 5 723 tokens per credit 90 tokens per credit gpt 5 nano 18080 tokens per credit 2260 tokens per credit gpt 5 mini 3616 tokens per credit 452 tokens per credit responses and conversations generate a response generates a response field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop model select the model that will generate the response prompt type use the default text prompt or choose another prompt type for the response image prompt file prompt reusable prompt advanced input reusable prompt definition id you can create and manage your prompts here https //platform openai com/chat/edit to copy the id of the selected prompt, click the three dots menu in the top center and click the prompt id max output tokens enter the upper limit for the number of tokens that can be generated for the response, including visible output tokens and reasoning tokens tools add one or more tools that the model may call while generating a response type select the type of tool to add skills file search function computer use preview web search preview web search preview (2025 03 11) mcp code interpreter image generation custom tool choice select how the model should choose tools during response generation none auto required file search web search preview computer use preview code interpreter function custom allowed tools if not selected, the default value is auto parallel tool calls select whether the model can run tool calls in parallel defaults to yes run in background select if the query should run in the background, performed asynchronously this is recommended for long, research heavy requests that may exceed time limits context management configure how the model's context is managed, for example, compaction to control token usage when conversations grow long context entry type select how the context should be managed compact threshold enter the token limit that triggers context compaction when the number of tokens in the context exceeds this value, the module compacts the context to reduce token usage for more information, see openai compaction guide https //developers openai com/api/docs/guides/compaction#server side compaction conversation id provide a conversation id for the model to generate a response within the context of that conversation, without you having to specify all previous messages (items) create a new conversation select yes if you don't provide a conversation id in the field above a new conversation will be created automatically, and its id will be output temperature enter the sampling temperature to use higher values like 0 8 will make the output more random, while lower values like 0 2 will make it more focused and deterministic we generally recommend altering this or top p but not both must be lower than or equal to 2 top p enter the nucleus sampling value, which is an alternative to sampling with temperature this considers the results of the tokens with top p probability mass the value 0 1 means only the tokens comprising the top 10% probability mass are considered store select whether to store the generated model response for later retrieval via api defaults to yes previous response id enter the id of the previous response to the module instructions enter a system (or developer) message as the first item in the model's context when using along with previous response id , the instructions from a previous response will not be carried over to the next response reasoning effort select how to model performs reasoning reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response summary select the summary of the reasoning performed by the model output format type select the format that the module must output text json schema json object the type of response format being defined when json object is selected as the output format, the prompt must include the word json truncation select the truncation strategy to use for the model response auto disabled include select additional output data to include in the model response metadata add key value pairs that can be attached to an object list input items lists input items field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop response id enter the id of the response that you want to list the input items for include select the additional output data to include in the response order select the order to return the input items in limit enter the maximum number of returned results (bundles) get a response retrieves an existing model response field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop response id enter the id of the response that you want to retrieve the model response for delete a response deletes an existing model response field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop response id enter the id of the response that you want to delete the model response for chat and assistant generate a completion generates a chat completion see the openai model endpoint compatibility https //platform openai com/docs/models/model endpoint compatibility section for the list of supported models field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop select method select a method to create a completion model select or map the model you want to use note ensure you have access to the model you want to work with only models available for the account are listed for selection messages add the messages for which you want to create the completion by selecting the role and entering the message content for some models, you can manage image input type and image details as well as audio filename and audio data for more information about chat completion, refer to the openai documentation https //platform openai com/docs/guides/chat response format choose the format for the response when using json object, you must also instruct the model to produce json via a system or user message if not, the model can generate an unending stream of whitespace until it reaches the token limit this will result in a long running and seemingly "stuck" request reasoning effort constrain the effort on reasoning for reasoning models https //platform openai com/docs/guides/reasoning by selecting low , medium , or high reducing the reasoning effort can result in faster responses and fewer tokens used on reasoning in a response defaults to medium max output tokens the maximum number of tokens to generate in the completion the default value is 2048 note low values may cause the output to be truncated high values may use a lot of openai credit the o1 and o3 models require tokens for both output and reason insert the sum of both tokens if you use the o1 and o3 models refer to openai platform documentation https //platform openai com/docs/guides/reasoning to learn more about reasoning modules temperature specify the sampling temperature to use a higher value means the model will take more risks try 0 9 for more creative applications and 0 (argmax sampling) for ones with a well defined answer defaults to 1 top p an alternative to sampling with temperature is called nucleus sampling, where the model considers the results of the tokens with top p probability mass so 0 1 means only the tokens comprising the top 10% probability mass are considered defaults to 1 number the number of completions to generate for each prompt defaults to 1 frequency penalty positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim this value must be a number between 2 and 2 presence penalty positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics this value must be a number between 2 and 2 token probability add the token probability by selecting the token and probability the probability must be a number between 100 and 100 seed this feature is in beta if specified, openai will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result refer to the system fingerprint response parameter to monitor changes in the backend for more information, refer to the openai documentation https //platform openai com/docs/guides/chat tool choice select your tool choice none (no tools) auto (ai decides to use tools or not) required (forces the ai to use the listed tool(s)) tools (functions) if you select auto or required for tool choice , click + add tool and enter the following type (required) function or custom name (required) name of tool description description of the tool parameters input mode map or select simple or manual strict select yes, no, or empty stop sequences add up to 4 sequences where the api will stop generating further tokens other input parameters add any additional input parameters by selecting the parameter name , the input type , and entering the parameter value for more information, refer to the openai documentation https //platform openai com/docs/guides/text generation generate a moderation qualifies whether the provided image or text(s) contain violent, hateful, illicit, or adult content field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop input format select the format of the input content text array of texts image input text enter the text for which you want to create the moderation the module will classify the content against openai's content policy model select or map the model you want to use if empty, the default model will change based on the selected input format files add files to a vector store adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop batch create mode choose if you would like to create a new vector store or choose an existing vector store vector store id select the vector store vector store name enter a name for a new vector store days expires after enter the number of days of inactivity for the vector store when the specified amount of days have passed, the vector store expires file ids select the files to add to a vector store for a list of supported file formats, see open ai file search supported files https //platform openai com/docs/assistants/tools/file search/supported files upload a file uploads a file that will be available for further usage across the openai platform field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop file name enter the name of the file to be uploaded, including the file extension for example, myfile png supported file types depend on the option selected in the purpose field below the fine tune purpose supports only jsonl files assistants supports file types found in the openai assistants tools guide https //platform openai com/docs/assistants/tools vision supports jpeg , jpg , png , gif , webp files batch supports only jsonl file data enter the file data to be uploaded you can retrieve file data using the http get a file module purpose for assistants https //developers openai com/api/docs/assistants/migration and messages select assistant for fine tuning https //developers openai com/api/reference/resources/fine tuning , select fine tune for assistants image file inputs, select vision for uploading batches, select batch download a container file downloads a file from a container field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop container id enter (map) the id of the container for example, you can find this id in the output of the create a model response module, when using a code interpreter tool that produces a image file as output example container id cntr 687539c204348198b213bd1fa33c82090ebad0602fa file id enter (map) the id of the file for example, you can find this ids in the output of the create a model response module, when using a code interpreter tool that produces a image file as output example file id cfile 687539c9229081919afea08bc8ad1480 vector stores create a vector store or add files creates a new vector store and optionally adds files to it, or adds files to an existing vector store field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop batch create mode choose whether to create a batch on an existing vector store or on a new one vector store id select or map the vector store to add files to appears when you select choose vector store in batch create mode vector store name enter a name for the new vector store appears when you select create vector store in batch create mode days expires after enter the number of days of inactivity after which the vector store expires appears when you select create vector store in batch create mode file ids select the files to add to the vector store for supported file formats, see openai file search supported files https //developers openai com/api/docs/guides/tools file search#supported files chunking strategy select how the added files are split into chunks applies only when you add files defaults to auto , which uses a chunk size of 800 tokens with a 400 token overlap list vector stores returns a list of vector stores field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop sort order select the order to return the vector stores in, sorted by their creation time limit enter the maximum number of results to return and work with in one execution cycle ranges between 1 and 100, and defaults to 20 search a vector store searches a vector store and returns the file content chunks that match your query field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop vector store id select or map the vector store you want to search queries enter a natural language search phrase, for example, what is our refund policy for annual plans? add more queries to run several searches at once each query returns its own set of matching chunks in the output filter restrict the search to files whose custom attributes match the criteria you enter attributes are key/value metadata attached to files in the vector store on openai's side rewrite query select yes to let openai rephrase your query for better semantic search results useful for full sentence or conversational queries the rewritten text appears in the module's search query output ranking options ranker enables re ranking choose auto to use the latest ranker, a specific ranker version (for example, default 2024 11 15 ), or none to disable re ranking limit enter the maximum number of results to return and work with in one execution cycle ranges between 1 and 50 delete a vector store deletes a vector store field description connection create a connection in your openai account docid\ bfy7nhwuwetgfuef zmop vector store id select the vector store you want to delete, or map its id deleting a vector store also removes it from any assistant or response that uses it embeddings generate an embedding creates an embedding vector representing the input text field description connection create a connection in your openai account docid\ bfy7nhwuwetgfuef zmop model select or map the model you want to use to generate the embedding input type select whether to turn a single text or multiple texts into embeddings in one request text enter the text to turn into an embedding can't be empty or exceed 8192 tokens dimensions enter the number of dimensions for the resulting embedding must be higher than or equal to 1 supported only in text embedding 3 and later models lower values reduce cost and meet vector database limits if left empty, the model default is used 1536 for text embedding 3 small and 3072 for text embedding 3 large encoding format select the format of the returned embeddings float is an array of numbers, and base64 is a base64 encoded string user id enter a unique identifier for your end user to help openai monitor and detect abuse for details, see openai safety best practices https //platform openai com/docs/guides/safety best practices images generate images generates images using gpt image field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop model select or map the model you want to use gpt image 2 gpt image 1 5 gpt image 1 gpt image 1 mini note ensure you have access to the model you want to work with only models available for the account are listed for selection prompt enter details of the images you want to generate size select or map the size of the images to generate it must be one of the available options 1024x1024 (all models) 1536x1024 (landscape) (all gpt image models ) 1024x1536 (portrait) (all gpt image models ) quality gpt image 1 5 gpt image 1 gpt image 1 mini select the image quality auto high medium low if not selected, defaults to auto quality select the quality of the generated image hd generates images with finer details and greater consistency across the image background select the background auto transparent opaque if not selected, defaults to auto when using the transparent option, the output format must allow transparency (webp or png) output format select the output format png jpeg webp if not selected, defaults to png number enter the number of images to generate enter a number between 1 and 10 moderation select the content moderation level auto low if not selected, defaults to auto a low option provides a weaker (less restrictive) content filter style select the style vivid natural response format select or map the format in which the generated images are returned if you select base64 encoded , the raw png image can be obtained by using the iml function, tobinary(\<module no> data\[] b64 json; base64) in the subsequent modules analyze images (vision) accepts an array of images as an input and provides an analysis result for each of the images following the instructions specified in the prompt field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop prompt enter instructions for how to analyze the image(s) images add or map the images you want to analyze you can add images by entering an image url or image file data image url enter the url address to a public resource of the image for example, https //getmyimage com/myimage png image file map or select the binary data of the image you can retrieve the binary data of an image using the http get a file module, or another app such as dropbox model select or map the model you want to use note ensure you have access to the model you want to work with only models available for the account are listed for selection max completion tokens enter the maximum number of tokens to use for the completion the default value is 2048 temperature specify the sampling temperature to use higher temperatures generate more diverse and creative responses for example, 0 8 lower temperatures generate more focused and well defined responses for example, 0 2 the default value is 1 the value must be lower than or equal to 2 top p specify the top p value to use nucleus sampling this will consider the results of the tokens with probability mass the default value is 1 the value must be lower than or equal to 1 number enter the number of responses to generate if more than 1 response is generated, the results can be found in the module's output within choices the default value is 1 edit images creates an edited or extended image given one or more source images and a prompt field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop model select or map the model you want to use gpt image 2 gpt image 1 5 gpt image 1 gpt image 1 mini note ensure you have access to the model you want to work with only models available for the account are listed for selection images enter an image to edit gpt image models each image must be in png, webp or jpeg/jpg format, less than 25 mb prompt enter details of the images you want to edit the maximum number of characters allowed for gpt image models is 32000 quality gpt image 1 5 gpt image 1 gpt image 1 mini select the image quality auto high medium low if not selected, defaults to auto size select or map the size of the images to generate it must be one of the three options 1024x1024 (all models) 1536x1024 (landscape) (all gpt image models ) 1024x1536 (portrait) (all gpt image models ) background select the background auto transparent opaque if not selected, defaults to auto when using the transparent option, the output format must allow transparency (webp or png) output format gpt image 1 5 gpt image 1 gpt image 1 mini select the output format png jpeg webp if not selected, defaults to png input fidelity gpt image 1 5 gpt image 1 gpt image 1 mini select how much effort the model will exert to match the style and features, especially facial features, of input images low high if not selected, defaults to low mask enter an additional image with fully transparent areas (where alpha is zero) the transparent areas indicate where the image will be edited the file must be in png format, less than 4 mb, and the same dimensions as the image you've entered number enter the number of images to generate enter a number between 1 and 10 response format select or map the format in which the generated images are returned if you select base64 encoded png, the raw png image can be obtained by using the iml function, tobinary(\<module no> data\[] b64 json; base64) in the subsequent modules audio generate speech from text generates an audio file based on the text input and settings field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop input enter text to generate into audio the text must be between 1 and 4096 characters long model select or map the model you want to use refer to the openai audio api documentation https //platform openai com/docs/api reference/audio for information on available models note ensure you have access to the model you want to work with only models available for the account are listed for selection voice select or map the voice to use in the audio for voice samples, see the openai voice options guide https //platform openai com/docs/guides/text to speech/voice options output filename enter a name for the generated audio file do not include the file extension response format select or map the file format for the generated audio file speed enter a value for the speed of the audio this must be a number between 0 25 and 4 generate a transcription transcribes an audio to text field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop file name enter the name of the file you want to transcribe file data enter the data of the file you want to transcribe model select or map the model you want to use refer to the openai audio api documentation https //platform openai com/docs/api reference/audio for information on available models note ensure you have access to the model you want to work with only models available for the account are listed for selection chunking strategy this field appears if you select the following model in the generate a transcription module gpt 4o transcribe diarize select how the module splits longer audio files into smaller parts before transcription choose auto to apply recommended settings, or custom to define your own chunking parameters this parameter must be provided if the input audio is longer than 30 seconds chunking strategy settings these fields appear when you select custom in the chunking strategy field use them to control how the module detects speech and divides the audio before transcription prefix padding enter the amount of audio to include before speech detection (in milliseconds) maximum value is 10000 silence duration enter how long silence must last before the module detects that speech has stopped (in milliseconds) maximum value is 10000 thresold enter the sensitivity level for voice activity detection higher values require louder audio for the model to detect speech maximum value is 1 prompt enter text to guide the model's style or continue a previous audio segment (optional) the prompt should be in the same language as the audio temperature enter a sampling temperature between 0 and 1 higher values, such as 0 8, will make the output more random lower values, such as 0 2, will make it more focused and deterministic language enter the two letter iso code of the input audio's language generate a translation (whisper) translates an audio into english field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop file name enter the name of the file you want to translate file data enter the data of the file you want to translate model select or map the model you want to use refer to the openai audio api documentation https //platform openai com/docs/api reference/audio for information on available models note ensure you have access to the model you want to work with only models available for the account are listed for selection prompt enter text to guide the model's style or continue a previous audio segment (optional) the prompt should be in english temperature enter a sampling temperature between 0 and 1 higher values, such as 0 8, will make the output more random lower values, such as 0 2, will make it more focused and deterministic skills when creating a new skill or version, it may not be immediately available if you use the new id in a subsequent module, consider adding a tools > sleep module to allow time for provisioning list skills returns a list of skills field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop order select how to sort the results by timestamp ascending returns the oldest items first descending returns the newest items first limit enter the maximum number of results to return during one execution cycle get a skill returns information about a specific skill by its id field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill you want to retrieve download a skill downloads a skill as a zip file using its id field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill you want to download create a skill creates a new skill field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop file select a file that contains the skill data from a previous module or switch to map to provide your file this file is used to create the skill file name enter the name of the file that defines the skill for example, skill zip file data enter the file data that contains the skill definition the file must include a skill md file at the root for details about skill structure, see openai skills overview https //developers openai com/api/docs/guides/tools skills update the default version pointer for a skill updates the default version pointer for a skill field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill whose default version you want to update default version enter the version id you want to set as the default this version will be used when the skill is called without specifying a version delete a skill deletes a skill this action cannot be undone field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill you want to delete this removes the skill so it can no longer be used in your scenario skills versions list skill versions returns a list of skill versions field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill whose versions you want to retrieve order select how to sort the results by timestamp ascending returns the oldest versions first descending returns the newest versions first limit enter the maximum number of versions to return during one execution cycle get a skill version returns information about a specific skill version field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill whose version you want to retrieve version enter the version id you want to retrieve this returns the configuration of that specific version so you can use it in your scenario download a skill version downloads a skill version as a zip file field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill whose version you want to download version enter the version id you want to download this returns the file for that specific version create a skill version creates a new immutable skill version field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill you want to add a new version to file select the file that contains the skill version data you can use the output of the previous module, or switch to map set as default version select whether to set the new version as the skill’s default version if you select yes , openai uses this version when the skill is called without a specific version delete a skill version deletes a skill version this action cannot be undone field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop skill id enter the id of the skill that contains the version you want to delete version enter the version id you want to delete this removes the version so it can no longer be used batches if you're using restricted permissions for your api key, enable the files\ read permission in the openai api platform https //platform openai com/api keys this is a required permission for batch modules watch batch completed triggers when a batch is completed field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop limit enter the maximum number of results to be worked with during one execution cycle list batches retrieves a list of batches field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop limit enter the maximum number of returned results (bundles) get a batch retrieves details of the specified batch field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop batch id retrieves details of the specified batch create a batch creates and executes a batch of api calls field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop input file id select a file to use as input to create a batch endpoint select the endpoint to use for all requests in the batch note that /v1/embeddings batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch cancel a batch cancels an in progress batch the batch will be in status "cancelling" for up to 10 minutes before changing to "cancelled", where it will have partial results (if any) available in the output file field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop batch id select a batch to cancel other transform text to structured data identifies specified information in a prompt's raw text and returns it as structured data field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop model select or map the model you want to use note ensure you have access to the model you want to work with only models available for the account are listed for selection text to parse enter the text containing the data that you want to transform prompt enter a short description explaining what type of data should be extracted from the text entered above structured data definition enter parameters or map the way in which the structured data should be returned parameter name enter a name for the parameter adhere to the following rules the first character must be either a letter or an underscore do not include any commas or spaces do not use any special symbols, other than an underscore description enter a short description of the parameter this description is part of the prompt, so the more clear your description, the more accurate the response for example, if you would like openai to search for coordinates in the text, you can enter latitude and longitude of the location data type select or map the data type format in which the parameter is returned if there will be multiple occurrences of similar data types, select an array option for example, if there are coordinates of multiple locations to be returned, select array (text) value examples enter or map examples of possible values to be returned the more examples you provide, the more accurate the response will be is parameter required? select or map whether the parameter is required when selecting yes , openai will be forced to generate a value in the output, even if no value is detected in the text object definitions enter object property details parameter name enter a name for the object parameter adhere to the following rules the first character must be either a letter or an underscore do not include any commas or spaces do not use any special symbols, other than an underscore description enter a short description of the object parameter for example, if you would like openai to search for coordinates in the text, you can enter latitude and longitude of the location data type select or map the data type format in which the object parameter is returned if there will be multiple occurrences of similar data types, select an array option for example, if there are coordinates of multiple locations to be returned, select array (text) is parameter required? when selecting yes , openai will be forced to generate a value in the output, even if no value is detected in the text make an api call performs an arbitrary authorized api call for the list of available endpoints, see openai chatgpt api documentation https //platform openai com/docs/api reference/introduction field description connection create a connection to your openai account docid\ bfy7nhwuwetgfuef zmop url enter a path relative to https //api openai com for example, /v1/models method get to retrieve information for an entry post to create a new entry put to update/replace an existing entry patch to make a partial entry update delete to delete an entry headers enter the desired request headers you don't have to add authorization headers; we already did that for you query string enter the request query string body enter the body content for your api call examples of use list models the following api call returns all pages from your openai account url /v1/models method get the search matches can be found in the module's output under bundle > body > data in our example, 69 models were returned