Contentstack is a headless, API-first content management system (CMS) that provides everything you need to power your web or mobile properties. To learn more about Contentstack, visit our website or refer to our documentation site to understand what we do.
This documentation provides information on endpoints, operations, parameters, and responses for the Generative AI API. It includes processing of prompts using Gen AI.
The Generative AI API requests link your Vector database with a Large Language Model (LLM) processing prompts and returning relevant data.
Generative AI uses token-based authentication. You can use the Authtoken along with the Organization UID to make API requests. Read more about the different types of tokens.
To retrieve the authtoken, log in to your Contentstack account by using the Log into your account request under User Session. This request will return the authtoken in the response body.
You can generate multiple authtokens by executing the Log into your account request multiple times. These tokens do not have an expiration time limit. However, currently, there is a maximum limit of 20 valid tokens that a user can use per account at a time, to execute CMA requests.
Note: If you already have valid 20 tokens, creating a new authtoken will automatically cause the oldest authtoken to expire without warning.
For SSO-enabled organizations, the Log into your account request will not return the user authtoken for users who access the organization through Identity Provider login credentials. Consequently, any requests that require a user authtoken will not work. Only the owner of the organization and users with permission to access the Organization without SSO can use these APIs. Learn more about REST API Usage.
Rate limit is the maximum number of requests you can make using the Contentstack’s APIs in a given time period.
By default, the Generative AI API enforces the following rate limits:
| API Request | Rate Limit |
|---|---|
GenAI Write (POST) requests | 10 requests per second per organization |
Your application will receive the HTTP 429 response code if the requests for a given time period exceed the defined rate limits.
The aforementioned limits are configurable depending on your plan. For more information, contact our Support team.
If there is something wrong with the API request, Contentstack returns an error.
Generative AI uses conventional, standard HTTP status codes for errors, and returns a JSON body containing details about the error. In general, codes in the 2xx range signify success. The codes in the 4xx range indicate error, mainly due to information provided (for example, a required parameter or field was omitted). Lastly, codes in the 5xx range mean that there is something wrong with our servers; it is very rare though.
Let’s look at the error code and their meanings.
| HTTP status code | Description |
|---|---|
| 400 Bad Request | The request was incorrect or corrupted. |
| 401 Unauthorized User | The user is not authorized. |
| 403 Forbidden Error | The page or resource that is being accessed is forbidden. |
| 500 Internal Server Error | The server is malfunctioning and is not specific on what the problem is. |
| 502 Bad Gateway Error | A server received an invalid response from another server. |
| 504 Gateway Timeout Error | A server did not receive a timely response from another server that it was accessing while attempting to load the web page or fill another request by the browser. |
Contentstack offers you a Postman Collection that helps you try out our Generative AI API. You can download this collection, connect to your Contentstack account, and try out the Generative AI API with ease.
Learn more about how to get started with using the Postman Collection for Generative AI API.
The Generate AI works as a communication channel between your Vector database and Large Language Model (LLM). It carries your prompt/action to the vector database, retrieves a chunk of data based on the prompt/command, forwards it to the LLM for it to process, and finally returns the processed data back to the field.
The GenAI request carries prompts, processes them, retrieves relevant data, and returns the processed data.
To configure the permissions for your application via OAuth, include the brand-kits:read scope.
Here’s an example of the Request Body for using GenAI request:
{
"prompt": "Enter your prompt",
"knowledge_vault": true,
"voice_profile_uid":"cs************d"
}The Generative AI Postman collection is a set of preconfigured REST API requests that will make it easy for you to get started with the Contentstack APIs and try out our API requests through the popular Postman REST client.
To use the Generative AI Postman collection you will need to have the Postman. You can either download the Desktop app or use Postman for Web.
Note: If you have already installed Postman for your device, go to the Download Latest Postman Collection for Generative AI section.
Postman is available for Windows (x64), Mac (Intel Chip / Apple Chip), and Linux environments.
Once you have installed Postman on your device, click the Run in Postman button to start working with the Generative AI API endpoints for Contentstack.
Note: The Generative AI Postman collection does not support the now deprecated Postman Chrome extension. Make sure you have installed the latest version of the Postman desktop app.
This opens the Fork collection into your workspace modal from where you can proceed to download/work with the Generative AI Postman collection in the following three ways:
Let’s look at each of the above methods in detail.
This option allows you to just view (and not try out) the API requests of the Postman collection.
Perform the following steps to view the Generative AI API Postman collection:
A new tab opens up in your browser where you should see the latest collection preloaded in the left navigation.
Note: If you want to try out the API requests, you can either import a copy of the collection or fork the collection.
This option allows you to import a copy of the collection into your workspace.
To import the Generative AI API collection, perform the following steps:


You will see a copy of the latest Postman collection in the left navigation panel.
This option allows you to fork, or create a copy of the collection, and perform changes to the collection without affecting the original.
To fork the Generative AI API collection, perform the following steps:


Under Notifications, check Watch original collection to get notified of any changes that are made to the original collection.
Once done, click Fork Collection to fork the Postman collection into your selected workspace.
We have also hosted our Postman collection on GitHub. You can follow the steps mentioned in the Readme file to download and start using it.
You can also choose to watch the latest Postman collection to get notifications of new releases or updates.
To do so, click the following Watch button and select Watching.
When you download and install the latest version of the Generative AI API Postman Collection, you also download and import the respective environment along with the environment variables.
Once your Environment is imported, next you need to set your Generative AI account specific values.
Note: As these environment variables are referenced across multiple API requests, once you set the variables, it becomes a lot more convenient to make repeated use of the Postman Collection.
Some of the important variables that you need to set are as follows:
| Environment Variable | Value |
|---|---|
| base_url | https://ai.contentstack.com/brand-kits |
| brand_kit_uid | your_brand_kit_uid |
| authtoken | your_authtoken |
Note: The Generative AI Postman Collection will require a valid Authtoken to make API calls. Check out the Authentication section for more details.
If you want to add your own environment variables, you can follow the procedure in the next section.
To add any new environment variables for your Postman collection, perform the following steps:
With every new API request added, we update our environment file. So, to get the latest environment variables, you need to download the collection along with the updated environment file again, compare your existing environment with the latest environment, identify and add the new variables to your existing environment.
Next, let’s see how you can run API Requests from your Generative AI Postman collection using your environment.
With the Generative AI Postman Collection loaded into the Postman app (on the left panel) and the environment created, you can now make API requests to the Generative AI API via Postman.
To make an API request, perform the following steps:
Note: If you want to make changes to your parameters or want to add parameters of your own, you can do it here.
We strongly advise against storing your Organization UID and authtokens in your collection permanently. If you or someone else shares the collection by mistake, other users will be able to export it along with these keys.
We recommend that you provide your Generative AI account-specific Organization UID and tokens in your environment or directly to the sample requests.
For users who use authtoken to authenticate their calls, when you make the Log in to your account API Request, your authtoken will be saved in cookies.
If you want to prevent this action, perform the steps given below:
This will allow you to access cookies of this domain in scripts programmatically.
Note: To avoid this situation, we recommend you to use the Brand Kit UID along with the Authtoken to make valid Generative AI API requests. For more information, refer to Authentication.
We keep our Postman Collection updated. To get the latest version of our Postman Collection, all you need to do is to download the Postman Collection along with the updated environment again and you are good to go.
You can also choose to watch for the latest Postman Collection updates on our GitHub repository and get notifications of new releases or updates to the repository. The GitHub Readme doc will help you with the steps that you need to follow.