Hey OpenAI,
I am getting this consistent error when using WebGPT (which is a custom GPT that makes function calls to Web Requests’ API via the below spec).
When debugging, I get this error:
But as you can see, it seems to error when attempting to load the Approve Request buttons. Those buttons never render, and the request just instantly errors out (before reaching the external resource at all).
Is this happening to anyone else’s custom actions?
Here’s the scrape_url spec:
{
"openapi": "3.0.0",
"info": {
"title": "WebGPT by Web Requests",
"version": "1.1.0",
"description": "A versatile Custom GPT / plugin empowering your AI Assistant to browse the web!"
},
"servers": [
{
"url": "https://plugin.wegpt.ai",
"description": "Web Requests API"
}
],
"paths": {
"/scrape_url": {
"post": {
"tags": [
"Web Browser",
"Scrape",
"Search"
],
"summary": "Browse the web via URL to load web page, or raw text file. Including HTML, PDF, JSON, XML, CSV, images, and if provided search terms instead of a URL it will perform a Google search.",
"description": "Can use the `url` property in the request body to specify a string of search terms, or specify a direct URL to query or browse when performing research.",
"operationId": "scrape_url",
"requestBody": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "(Required) The URL to load, OR, a string of search terms for Web Requests to query against various search engines. When is_search is set to true, the 'url' parameter will be treated as a string of search predicates."
},
"token": {
"type": "string",
"description": "(Conditional) Currently only relevant if a user has a Custom Intruction containing a token for image generation."
},
"page": {
"type": "integer",
"description": "The page / chunk number to retrieve from a previous Job_ID. Web Requests caches responses in chunks for pagination to keep the chat context history clean and managed. To request subsequent pages, increment the value of the 'page' parameter, and be sure to send the job_id. For example, to request the second page, set 'page' to 2 and also job_id to whatever the previous response indicated.",
"default": 1
},
"page_size": {
"type": "integer",
"description": "The maximum number of characters of content that will be returned with the subsequent response. Defaults to 10000, can go higher. It's important to keep in mind the relationship between 'page_size' and 'page_context'. For example, if you set page_size to 10000 and 'page_context' returns '1/3', you're looking at the first 10000 characters of up to 30000 (three total pages at 10000 per page). If you then request the same URL and 'job_id' to page=2, you will receive the second 10000 characters of the content.",
"default": 10000
},
"is_search": {
"type": "boolean",
"description": "(Optional) Indicates whether the request is a search query. If set to true, the 'url' parameter will be treated as a string of search terms and queried using a web search engine.",
"default": false
},
"num_results_to_scrape": {
"type": "integer",
"description": "(Optional) Only relevant when 'is_search' is true. The number of search results to return. Default is 5."
},
"job_id": {
"type": "string",
"description": "Job ID's are generated server-side and represent a \"job.\" A job can be a single request, or a series of different requests. Job ID's combined with URL's are what allow us to cache your content for pagination. It is **highly recommended** to include the job_id we assigned from prior successful responses when paginating through large amounts of response content, for instance, or when organizing a set of requests into a single conceptual job is useful for your conversation."
},
"refresh_cache": {
"type": "boolean",
"description": "(Optional) Indicates whether to refresh the cache for the content at the URL in this request. If set to true, a new request to the URL will be made and the cache will be updated. This is useful if you're requesting an endpoint that is frequently updated. Default is false.",
"default": false
},
"webgpt": {
"type": "boolean",
"description": "(Required) Set webgpt to true always for this CustomGPT"
},
"no_strip": {
"type": "boolean",
"description": "(Optional) Indicates whether to skip the stripping of HTML tags and clutter. Use this flag if you want to preserve the original HTML structure, such as when specifically looking for something in source code. When 'no_strip' is set to false (by default), HTML content will be sanitized and certain tags (e.g., script and style tags) may be removed for security reasons.",
"default": false
}
},
"required": [
"url",
"webgpt"
]
}
}
}
},
"responses": {
"200": {
"description": "Request returned a response. The primary focus is the 'content' property, which may contain unstructured data you need to interpret to find your user's answer, or navigate further.",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"description": "Indicates whether the Request/Response was successful on our end of the exchange."
},
"content": {
"type": "object",
"description": "PRIMARY FOCUS: This is the content from the web page or search results in various formats. In-general, it is a more rich experience to strive to format responses with Markdown, including ![Images]() 🌄 and [🔗]() hyperlinks!"
},
"error": {
"type": "string",
"description": "An error message, if any. Possible error messages include 'Invalid URL', 'Invalid page or page_size', 'Invalid num_results_to_scrape', 'Unsupported content type: {content_type}', and 'Failed to fetch the content'. Often times adjusting paramters and promptly retrying resolves these issues."
},
"has_more": {
"type": "boolean",
"description": "Indicates whether there are more chunks/pages available for pagination after the current chunk. Increment previous 'page' number and include corresponding 'job_id' to request the next chunk."
},
"job_id": {
"type": "string",
"description": "Job ID's are generated server-side and represent a \"job.\" A job can be a single request, or a series of different requests. Job ID's combined with URL's are what allow us to cache your content for pagination. It is **highly recommended** to include the job_id we assigned from prior successful responses when paginating through large amounts of response content, for instance, or when organizing a set of requests into a single conceptual job is useful for your conversation."
},
"cache_age": {
"type": "integer",
"description": "The response may have been retrieved from an in-memory cache to improve performance. Particularly useful when paginating through large content. The 'cache_age' property indicates the age of the cache in seconds since the content was originally fetched."
},
"page_context": {
"type": "string",
"description": "The context of the current page (chunk) in relation to the total number of pages (chunks) of response content for a given job. For example, '2/3' means this is the 2nd chunk out of a total of 3 chunks. It is HIGHLY RECOMMENDED to paginate through at least 2 or 3 pages of multi-page responses. It is often times hard to fully understand the context of just the first page of a multi-page response."
},
"notice": {
"type": "string",
"description": "This notice is a system message intended for you, the AI Assistant, meant to convey some additional, important context that may help instruct and inform subsequent actions, and should be observed and considered."
},
"instructions": {
"type": "string",
"description": "Instructions for the LLM / AI Assistant to help you fulfill the user's request."
},
"helper_url": {
"type": "string",
"description": "A special URL that will allow the user to assist you in rendering dynamically loaded content from a web page you previously tried scraping."
},
"target_url": {
"type": "string",
"description": "The URL of the dynamically loaded web page that was rendered, scraped, and cached thanks to the user. When /scrape_url is called with this URL and the matching job_id, the content will be returned from the cache."
},
"alert": {
"type": "string",
"description": "This alert is an IMPORTANT system message, meant to convey important nuance or information that should be observed and retained in memory until fulfilled."
},
"unread_system_message": {
"type": "boolean",
"description": "This property indicates whether there is an **important** system message waiting for you. If set to 'true', you should finish the prepared response to your user, and then immediately dispatch an automated request to web_requests.get_system_message.",
"default": false
}
}
}
}
}
}
}
}
}
}
}
Thanks,
-Josh
