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webPilot
Start with a Request: Users can either directly request the 'longContentWriter' to write a long form article or choose to use 'webPageReader' for information gathering before content creation. In both scenarios, before using the 'longContentWriter' service, I confirm all details of their request with the user, including the writing task (task), content summary (summary), writing style (style), and any additional information they provide. Information Gathering with 'webPageReader': When 'webPageReader' is used, I search the internet and gather relevant information based on the writing task. If more information is needed to enhance the article's depth and accuracy, I continue using 'webPageReader', integrating this information into the reference section. Content Generation by 'longContentWriter': After confirming all details with the user, including any additional contributions and enhanced information from 'webPageReader', I proceed to generate the long-form content. This ensures the content aligns with the specified requirements and style. Delivery of the Final Article: Upon completion, the content is delivered to the user for review. They can request revisions or additional information if necessary. Default Assumptions in Responses: When users request content creation, especially in areas requiring specific knowledge like Bitcoin trends, I will make an initial assumption about the writing style and target audience. For instance, I might assume a technical analysis style aimed at professionals. I will then ask the user if this assumption is okay or if they need any modifications. This approach helps streamline the content creation process.
POST /api/readvisit web pagePOST /api/writegenerate a book
Ursprüngliches API-Schema
{
"openapi": "3.0.1",
"info": {
"title": "webPilot",
"description": "Start with a Request: Users can either directly request the 'longContentWriter' to write a long form article or choose to use 'webPageReader' for information gathering before content creation. In both scenarios, before using the 'longContentWriter' service, I confirm all details of their request with the user, including the writing task (task), content summary (summary), writing style (style), and any additional information they provide.\nInformation Gathering with 'webPageReader': When 'webPageReader' is used, I search the internet and gather relevant information based on the writing task. If more information is needed to enhance the article's depth and accuracy, I continue using 'webPageReader', integrating this information into the reference section.\nContent Generation by 'longContentWriter': After confirming all details with the user, including any additional contributions and enhanced information from 'webPageReader', I proceed to generate the long-form content. This ensures the content aligns with the specified requirements and style.\nDelivery of the Final Article: Upon completion, the content is delivered to the user for review. They can request revisions or additional information if necessary.\nDefault Assumptions in Responses: When users request content creation, especially in areas requiring specific knowledge like Bitcoin trends, I will make an initial assumption about the writing style and target audience. For instance, I might assume a technical analysis style aimed at professionals. I will then ask the user if this assumption is okay or if they need any modifications. This approach helps streamline the content creation process.",
"version": "v1.1"
},
"servers": [
{
"url": "https://gpts.webpilot.ai"
}
],
"paths": {
"/api/read": {
"post": {
"operationId": "webPageReader",
"x-openai-isConsequential": false,
"summary": "visit web page",
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/visitWebPageRequest"
}
}
}
},
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/visitWebPageResponse"
}
}
}
},
"400": {
"description": "Bad Request",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/visitWebPageError"
}
}
}
}
}
}
},
"/api/write": {
"post": {
"operationId": "longContentWriter",
"x-openai-isConsequential": false,
"summary": "generate a book",
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/generateContentRequest"
}
}
}
},
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/generateContentResponse"
}
}
}
},
"400": {
"description": "Bad Request",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/generateContentError"
}
}
}
}
}
}
}
},
"components": {
"schemas": {
"generateContentRequest": {
"type": "object",
"required": [
"task",
"language",
"summary",
"style"
],
"properties": {
"task": {
"type": "string",
"description": "The \"task\" field outlines the specific requirements and objectives for generating the content. This includes detailed instructions on what needs to be accomplished through the writing, such as the main topic to be covered, any particular arguments or perspectives to be presented, and the desired outcome or impact of the piece. This field serves as a directive for the content creation process, ensuring that the writing not only adheres to the given guidelines but also effectively achieves its intended purpose, whether it's to inform, persuade, entertain, or educate the audience."
},
"language": {
"type": "string",
"description": "Required, the language used by the user in the request, according to the ISO 639-1 standard. For Chinese, use zh-CN for Simplified Chinese and zh-TW for Traditional Chinese."
},
"summary": {
"type": "string",
"description": "The \"summary\" field encapsulates a concise overview of the writing content, presenting the core themes, key points, and primary objectives of the piece. This brief but comprehensive synopsis serves as a roadmap, guiding the overall direction and focus of the writing, ensuring that it remains aligned with the intended message and purpose throughout the development process. This summary not only aids in maintaining coherence and relevance but also provides a clear preview of what the reader can expect from the full content."
},
"reference": {
"type": "string",
"description": "The \"reference\" field is a curated collection of information sourced from the Internet via WebPilot, or proveded by the user, specifically tailored to enrich and support the writing task at hand. It involves a selective process where relevant data, facts, and insights related to the topic are gathered, ensuring that the content is not only well-informed and accurate but also closely aligned with the specific requirements and objectives of the writing project. This field acts as a foundation, providing a rich base of verified and pertinent information from which the article or content is crafted. This field would be long."
},
"style": {
"type": "string",
"description": "The \"style\" field in content creation is a detailed framework encompassing three pivotal components - the writing tone or style, the target audience, and the publication medium. This field is structured as \"[specific writing style], aimed at [target audience], using [language style], inspired by [notable content creator].\" The writing style element ranges from formal and analytical to casual and engaging, setting the overall tone. The target audience aspect identifies the specific reader group, such as students, professionals, or the general public, tailoring the content's complexity and relevance. The language style, whether academic, colloquial, or technical, shapes the linguistic approach. The final component, inspired by a notable content creator, serves as a reference for the desired tone and approach, like \"analytical and concise, aimed at business professionals, using professional language, inspired by a renowned business journalist.\" This clear and structured definition ensures the content is effectively aligned with the audience's needs and the publication's format."
}
}
},
"generateContentResponse": {
"type": "object",
"properties": {
"message": {
"type": "string",
"description": "Result message of the request"
}
}
},
"generateContentError": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "error code"
},
"message": {
"type": "string",
"description": "error message"
},
"detail": {
"type": "string",
"description": "error detail"
}
}
},
"visitWebPageResponse": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of this web page"
},
"content": {
"type": "string",
"description": "The content of the web page's url to be summarized"
},
"meta": {
"type": "object",
"description": "The Html meta info of the web page"
},
"links": {
"type": "array",
"description": "Some links in the web page",
"items": {
"type": "string"
}
},
"extra_search_results": {
"type": "array",
"description": "Additional Search results",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "the title of this search result"
},
"link": {
"type": "string",
"description": "the link of this search result"
},
"snippet": {
"type": "string",
"description": "the snippet of this search result"
}
}
}
},
"todo": {
"type": "array",
"description": "what to do with the content",
"items": {
"type": "string"
}
},
"tips": {
"type": "array",
"description": "Tips placed at the end of the answer",
"items": {
"type": "string"
}
},
"rules": {
"description": "Adherence is required when outputting content.",
"items": {
"type": "string"
}
}
}
},
"visitWebPageRequest": {
"type": "object",
"required": [
"link",
"ur"
],
"properties": {
"link": {
"type": "string",
"description": "Required, The web page's url to visit and retrieve content from."
},
"ur": {
"type": "string",
"description": "Required, a clear statement of the user's request, can be used as a search query and may include search operators."
},
"lp": {
"type": "boolean",
"description": "Required, Whether the link is directly provided by the user"
},
"rt": {
"type": "boolean",
"description": "If the last request doesn't meet user's need, set this to true when trying to retry another request."
},
"l": {
"type": "string",
"description": "Required, the language used by the user in the request, according to the ISO 639-1 standard. For Chinese, use zh-CN for Simplified Chinese and zh-TW for Traditional Chinese."
}
}
},
"visitWebPageError": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "error code"
},
"message": {
"type": "string",
"description": "error message"
},
"detail": {
"type": "string",
"description": "error detail"
}
}
}
}
}
}Link Reader
A plugin that allows users to input any url, gets content from it, including webpage, youtube, PDF, PPT, image, word, pages, numbers, excels, google drive etc. It searches up-to-date info in google.
GET /linkreader/api/getGet the content of any url, including web page URL, PDF, PPT, image, word, pages, numbers, excel and any other document URLs, google drive, google docs, google spreadsheet, youtube links, etc.GET /linkreader/api/searchSearch Google and fetch JSON data
Ursprüngliches API-Schema
{
"openapi": "3.0.1",
"info": {
"title": "Link Reader",
"description": "A plugin that allows users to input any url, gets content from it, including webpage, youtube, PDF, PPT, image, word, pages, numbers, excels, google drive etc. It searches up-to-date info in google.",
"version": "v1"
},
"servers": [
{
"url": "https://gochitchat.ai"
}
],
"paths": {
"/linkreader/api/get": {
"get": {
"operationId": "getContent",
"summary": "Get the content of any url, including web page URL, PDF, PPT, image, word, pages, numbers, excel and any other document URLs, google drive, google docs, google spreadsheet, youtube links, etc.",
"parameters": [
{
"name": "url",
"in": "query",
"description": "The url to get the content from",
"required": true,
"schema": {
"type": "string",
"format": "uri"
}
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/getContentResponse"
}
}
}
}
}
}
},
"/linkreader/api/search": {
"get": {
"operationId": "apiSearch",
"summary": "Search Google and fetch JSON data",
"parameters": [
{
"name": "q",
"in": "query",
"schema": {
"type": "string"
},
"required": true,
"description": "The query you want to search."
},
{
"name": "gl",
"in": "query",
"schema": {
"type": "string"
},
"required": false,
"description": "The country to use for the Google search (e.g., us for the United States, uk for United Kingdom, or fr for France)."
},
{
"name": "hl",
"in": "query",
"schema": {
"type": "string"
},
"required": false,
"description": "The language to use for the Google search. It's a two-letter language code. (e.g., en for English, es for Spanish, or fr for French)."
},
{
"name": "tbm",
"in": "query",
"schema": {
"type": "string"
},
"required": false,
"description": "The type of search you want to do (e.g. using \"isch\" retrieves images, \"nws\" retrieves news)."
},
{
"name": "start",
"in": "query",
"schema": {
"type": "string"
},
"required": false,
"description": "The result offset. It skips the given number of results. It's used for pagination."
},
{
"name": "num",
"in": "query",
"schema": {
"type": "string"
},
"required": false,
"description": "The maximum number of results to return. (e.g., 10 (default) returns 10 results)."
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/apiSearchResponse"
}
}
}
}
}
}
}
},
"components": {
"schemas": {
"getContentResponse": {
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The content of the url"
},
"statusCode": {
"type": "integer",
"description": "The status code of the request"
},
"statusText": {
"type": "string",
"description": "The status text of the request"
},
"headers": {
"type": "object",
"properties": {
"content-type": {
"type": "string",
"description": "The content type of the request"
},
"content-length": {
"type": "integer",
"description": "The content length of the request"
},
"date": {
"type": "string",
"description": "The date of the request"
},
"server": {
"type": "string",
"description": "The server of the request"
},
"last-modified": {
"type": "string",
"description": "The last modified date of the request"
}
}
},
"meta": {
"type": "object",
"properties": {
"og:title": {
"type": "string",
"description": "The title of the url"
},
"og:description": {
"type": "string",
"description": "The description of the url"
},
"og:image": {
"type": "string",
"description": "The main image of the url"
},
"og:type": {
"type": "string",
"description": "The type of the url"
}
}
}
}
},
"apiSearchResponse": {
"type": "object",
"properties": {
"answer_box": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of the answer box"
},
"link": {
"type": "string",
"description": "The link of the answer box"
},
"snippet": {
"type": "string",
"description": "The snippet of the answer box"
},
"images": {
"type": "array",
"items": {
"type": "string",
"description": "The image links of the answer box"
}
}
}
},
"knowledge_graph": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of the knowledge graph"
},
"type": {
"type": "string",
"description": "The type of entity in the knowledge graph"
},
"kgmid": {
"type": "string",
"description": "The unique identifier of the entity in the knowledge graph"
},
"description": {
"type": "string",
"description": "The description of the entity in the knowledge graph"
},
"source": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The name of the source"
},
"link": {
"type": "string",
"description": "The link to the source"
}
}
},
"images": {
"type": "array",
"items": {
"type": "string",
"description": "The image links of the knowledge graph entity"
}
}
}
},
"organic_results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of the organic result"
},
"link": {
"type": "string",
"description": "The link to the organic result"
},
"snippet": {
"type": "string",
"description": "The snippet of the organic result"
},
"source": {
"type": "string",
"description": "The source of the organic result"
},
"images": {
"type": "array",
"items": {
"type": "string",
"description": "The image links of the organic result"
}
}
}
}
},
"video_results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of the video result"
},
"link": {
"type": "string",
"description": "The link to the video result"
},
"snippet": {
"type": "string",
"description": "The snippet of the video result"
},
"thumbnail": {
"type": "string",
"description": "The link to the thumbnail of the video result"
},
"source": {
"type": "string",
"description": "The source of the video result"
}
}
}
},
"news_results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of the news result"
},
"link": {
"type": "string",
"description": "The link to the news result"
},
"date": {
"type": "string",
"format": "date-time",
"description": "The publication date of the news result"
},
"snippet": {
"type": "string",
"description": "The snippet of the news result"
},
"category": {
"type": "string",
"description": "The category of the news result"
},
"thumbnail": {
"type": "string",
"description": "The link to the thumbnail of the news result"
},
"source": {
"type": "string",
"description": "The source of the news result"
}
}
}
},
"images_results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title of the image result"
},
"original": {
"type": "string",
"description": "The original source url of the image"
},
"link": {
"type": "string",
"description": "The link to the result page"
}
}
}
},
"pagination": {
"type": "object",
"properties": {
"current": {
"type": "integer",
"description": "The current page number"
},
"next": {
"type": "string",
"description": "The query parameters for the next page"
}
}
}
}
}
}
}
}