{ "name": "LinkedIn Post Generation", "flow": [ { "id": 3, "module": "rss:ActionReadArticles", "version": 4, "parameters": { "include": [] }, "mapper": { "url": "https://rss.app/feeds/_CUOtu0unhUNqpw7g.xml", "gzip": true, "password": "", "username": "", "maxResults": "1", "filterDateTo": "", "filterDateFrom": "" }, "metadata": { "designer": { "x": 0, "y": 0 }, "restore": {}, "parameters": [ { "name": "include", "type": "select", "label": "Process RSS fields", "multiple": true, "validate": { "enum": [ "google-merchant-center", "itunes" ] } } ], "expect": [ { "name": "url", "type": "url", "label": "URL", "required": true }, { "name": "username", "type": "text", "label": "User name" }, { "name": "password", "type": "text", "label": "Password" }, { "name": "filterDateFrom", "type": "date", "label": "Date from" }, { "name": "filterDateTo", "type": "date", "label": "Date to " }, { "name": "maxResults", "type": "number", "label": "Maximum number of returned items", "required": true }, { "name": "gzip", "type": "boolean", "label": "Request compressed content", "required": true } ], "interface": [ { "name": "title", "type": "text", "label": "Title" }, { "name": "description", "type": "text", "label": "Description" }, { "name": "summary", "type": "text", "label": "Summary" }, { "name": "author", "type": "text", "label": "Author" }, { "name": "url", "type": "url", "label": "URL" }, { "name": "dateUpdated", "type": "date", "label": "Date updated" }, { "name": "dateCreated", "type": "date", "label": "Date created" }, { "name": "comments", "type": "url", "label": "Comments" }, { "name": "image", "spec": [ { "name": "title", "type": "text", "label": "Name" }, { "name": "url", "type": "url", "label": "URL" } ], "type": "collection", "label": "Image" }, { "name": "categories", "spec": { "type": "text" }, "type": "array", "label": "Categories" }, { "name": "source", "spec": [ { "name": "title", "type": "text", "label": "Name" }, { "name": "url", "type": "url", "label": "URL" } ], "type": "collection", "label": "Source" }, { "name": "enclosures", "spec": [ { "name": "url", "type": "url", "label": "URL" }, { "name": "type", "type": "text", "label": "Type" }, { "name": "length", "type": "number", "label": "Length" } ], "type": "array", "label": "Enclosures" }, { "help": "Other RSS fields. All values are in text format.", "name": "rssFields", "spec": [ { "name": "title", "type": "text", "label": "title" }, { "name": "description", "type": "text", "label": "description" }, { "name": "link", "type": "text", "label": "link" }, { "name": "guid", "type": "text", "label": "guid" }, { "name": "pubdate", "type": "text", "label": "pubdate" }, { "name": "media:content", "spec": [ { "name": "props", "spec": [ { "name": "medium", "type": "text", "label": "medium" }, { "name": "url", "type": "text", "label": "url" } ], "type": "collection", "label": "Properties" }, { "name": "value", "type": "text", "label": "Value" } ], "type": "collection", "label": "media:content" } ], "type": "collection", "label": "RSS fields" } ] } }, { "id": 5, "module": "http:ActionGetFile", "version": 3, "parameters": { "handleErrors": false }, "mapper": { "url": "{{3.url}}", "method": "get", "serializeUrl": false, "shareCookies": false }, "metadata": { "designer": { "x": 300, "y": 0 }, "restore": {}, "parameters": [ { "name": "handleErrors", "type": "boolean", "label": "Evaluate all states as errors (except for 2xx and 3xx )", "required": true } ], "expect": [ { "name": "url", "type": "url", "label": "URL", "required": true }, { "name": "serializeUrl", "type": "boolean", "label": "Serialize URL", "required": true }, { "name": "method", "type": "hidden", "label": "Method" }, { "name": "shareCookies", "type": "boolean", "label": "Share cookies with other HTTP modules", "required": true } ] } }, { "id": 6, "module": "regexp:HTMLToText", "version": 1, "parameters": {}, "mapper": { "html": "{{5.data}}", "newline": "lf", "uppercaseHeadings": true }, "metadata": { "designer": { "x": 588, "y": 1 }, "restore": { "expect": { "newline": { "label": "LF (\\n) - Unix/Mac OS X" } } }, "expect": [ { "name": "html", "type": "text", "label": "HTML" }, { "name": "newline", "type": "select", "label": "Line break", "required": true, "validate": { "enum": [ "lf", "crlf", "cr" ] } }, { "name": "uppercaseHeadings", "type": "boolean", "label": "Uppercase headings", "required": true } ] } }, { "id": 27, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": { "__IMTCONN__": 722797 }, "mapper": { "model": "gpt-4o", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are an expert content summarizer and social media manager with 20 years of experience. Your task is to summarize long-form content into concise, engaging summaries suitable for LinkedIn posts. Focus on extracting the main points, key insights, and actionable information, and present it in a professional tone that reflects the expertise of an AI automation agency." }, { "role": "user", "content": "You will be given raw text content from a website contatining a blog, [Raw Text]. Your task is to extract only the main article content, ignoring any sidebars, ads, or other irrelevant elements.\n\nImportant: do not respond back, only give the main article content." }, { "role": "user", "content": "[Raw Text]: {{6.text}}" } ], "max_tokens": "0", "temperature": "1", "n_completions": "1", "response_format": "text" }, "metadata": { "designer": { "x": 900, "y": 0, "name": "Blog Content Extractor" }, "restore": { "expect": { "stop": { "mode": "chose" }, "model": { "mode": "chose", "label": "gpt-4o (system)" }, "select": { "label": "Create a Chat Completion (GPT Models)" }, "messages": { "mode": "chose", "items": [ { "role": { "mode": "chose", "label": "System" } }, { "role": { "mode": "chose", "label": "User" } }, { "role": { "mode": "chose", "label": "User" } } ] }, "logit_bias": { "mode": "chose" }, "response_format": { "mode": "chose", "label": "Text" }, "additionalParameters": { "mode": "chose" } }, "parameters": { "__IMTCONN__": { "data": { "scoped": "true", "connection": "openai-gpt-3" }, "label": "My OpenAI connection" } } }, "parameters": [ { "name": "__IMTCONN__", "type": "account:openai-gpt-3", "label": "Connection", "required": true } ], "expect": [ { "name": "select", "type": "select", "label": "Select Method", "required": true, "validate": { "enum": [ "chat", "prompt" ] } }, { "name": "max_tokens", "type": "number", "label": "Max Tokens", "required": true }, { "name": "temperature", "type": "number", "label": "Temperature", "validate": { "max": 2, "min": 0 } }, { "name": "top_p", "type": "number", "label": "Top P", "validate": { "max": 1, "min": 0 } }, { "name": "n_completions", "type": "number", "label": "Number" }, { "name": "frequency_penalty", "type": "number", "label": "Frequency Penalty", "validate": { "max": 2, "min": -2 } }, { "name": "presence_penalty", "type": "number", "label": "Presence Penalty", "validate": { "max": 2, "min": -2 } }, { "name": "logit_bias", "spec": { "name": "value", "spec": [ { "name": "token", "type": "text", "label": "Token ID", "required": true }, { "name": "probability", "type": "number", "label": "Probability", "required": true, "validate": { "max": 100, "min": -100 } } ], "type": "collection", "label": "Token Probability" }, "type": "array", "label": "Token Probability" }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "seed", "type": "integer", "label": "Seed" }, { "name": "stop", "spec": { "name": "value", "type": "text", "label": "Stop Sequence" }, "type": "array", "label": "Stop Sequences", "validate": { "maxItems": 4 } }, { "name": "additionalParameters", "spec": { "name": "value", "spec": [ { "name": "key", "type": "text", "label": "Parameter Name", "required": true }, { "name": "type", "type": "select", "label": "Input Type", "options": [ { "label": "Text", "value": "text", "nested": [ { "name": "value", "type": "text", "label": "Parameter Value" } ], "default": true }, { "label": "Number", "value": "number", "nested": [ { "name": "value", "type": "number", "label": "Parameter Value" } ] }, { "label": "Boolean", "value": "boolean", "nested": [ { "name": "value", "type": "boolean", "label": "Parameter Value" } ] }, { "label": "Date", "value": "date", "nested": [ { "name": "value", "type": "date", "label": "Parameter Value" } ] }, { "label": "Any", "value": "any", "nested": [ { "name": "value", "type": "any", "label": "Parameter Value" } ] } ] } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": [ { "label": "System", "value": "system" }, { "label": "User", "value": "user" }, { "label": "Assistant", "value": "assistant" } ], "required": true }, { "name": "content", "type": "text", "label": "Message Content" } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true } ] } }, { "id": 37, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": { "__IMTCONN__": 722797 }, "mapper": { "model": "gpt-4o-mini", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are a viral hook creator for LinkedIn informational posts." }, { "role": "user", "content": "Generate 3 attention-grabbing hooks from an article that you will be given, [Article]. Your only response has to be the 3 hooks in third person, without markdown formatting, just plain text. Reference the viral hook examples down below to create 3 hooks that create a curiosity gap. A curiosity gap is an unanswered question in the viewers mind that makes them want to stay. Notes: Make it sound human. If there is a famous figure involved in the article, call him/her out in some of the hooks. The same is true for famous people.\n\nHere are some other techniques and examples you can use: \nNews: Open AI just dropped the BIGGEST update of the year and we can't stop thinking about it\nFamous: Elon Musk just shocked the world with his plans for Space X\nConflict: X vs Y\n\nNote: Every hook must create a curiosity gap. You must create an unanswered question in the user's mind. It does not have to be a question, for example \"We've just read this report and we have to let you know about it\"" }, { "role": "assistant", "content": "Example 1: Given some text on OpenAI announcing GPT-5, here are examples of using a viral hook and adapting it: Hook 1: Would anyone believe it if someone said AGI is coming this year?, Hook 2: Is it ever wondered what it would be like if AGI existed? Well, there might not be much longer to wonder. , Hook 3: If honesty prevails, this development is enough to make one sick to their stomach." }, { "role": "user", "content": "[Article Content]: {{27.result}}" } ], "max_tokens": "0", "temperature": "1", "n_completions": "1", "response_format": "text" }, "metadata": { "designer": { "x": 1200, "y": 0, "name": "Hook Creator" }, "restore": { "expect": { "stop": { "mode": "chose" }, "model": { "mode": "chose", "label": "gpt-4o-mini (system)" }, "select": { "label": "Create a Chat Completion (GPT Models)" }, "messages": { "mode": "chose", "items": [ { "role": { "mode": "chose", "label": "System" } }, { "role": { "mode": "chose", "label": "User" } }, { "role": { "mode": "chose", "label": "Assistant" } }, { "role": { "mode": "chose", "label": "User" } } ] }, "logit_bias": { "mode": "chose" }, "response_format": { "mode": "chose", "label": "Text" }, "additionalParameters": { "mode": "chose" } }, "parameters": { "__IMTCONN__": { "data": { "scoped": "true", "connection": "openai-gpt-3" }, "label": "My OpenAI connection" } } }, "parameters": [ { "name": "__IMTCONN__", "type": "account:openai-gpt-3", "label": "Connection", "required": true } ], "expect": [ { "name": "select", "type": "select", "label": "Select Method", "required": true, "validate": { "enum": [ "chat", "prompt" ] } }, { "name": "max_tokens", "type": "number", "label": "Max Tokens", "required": true }, { "name": "temperature", "type": "number", "label": "Temperature", "validate": { "max": 2, "min": 0 } }, { "name": "top_p", "type": "number", "label": "Top P", "validate": { "max": 1, "min": 0 } }, { "name": "n_completions", "type": "number", "label": "Number" }, { "name": "frequency_penalty", "type": "number", "label": "Frequency Penalty", "validate": { "max": 2, "min": -2 } }, { "name": "presence_penalty", "type": "number", "label": "Presence Penalty", "validate": { "max": 2, "min": -2 } }, { "name": "logit_bias", "spec": { "name": "value", "spec": [ { "name": "token", "type": "text", "label": "Token ID", "required": true }, { "name": "probability", "type": "number", "label": "Probability", "required": true, "validate": { "max": 100, "min": -100 } } ], "type": "collection", "label": "Token Probability" }, "type": "array", "label": "Token Probability" }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "seed", "type": "integer", "label": "Seed" }, { "name": "stop", "spec": { "name": "value", "type": "text", "label": "Stop Sequence" }, "type": "array", "label": "Stop Sequences", "validate": { "maxItems": 4 } }, { "name": "additionalParameters", "spec": { "name": "value", "spec": [ { "name": "key", "type": "text", "label": "Parameter Name", "required": true }, { "name": "type", "type": "select", "label": "Input Type", "options": [ { "label": "Text", "value": "text", "nested": [ { "name": "value", "type": "text", "label": "Parameter Value" } ], "default": true }, { "label": "Number", "value": "number", "nested": [ { "name": "value", "type": "number", "label": "Parameter Value" } ] }, { "label": "Boolean", "value": "boolean", "nested": [ { "name": "value", "type": "boolean", "label": "Parameter Value" } ] }, { "label": "Date", "value": "date", "nested": [ { "name": "value", "type": "date", "label": "Parameter Value" } ] }, { "label": "Any", "value": "any", "nested": [ { "name": "value", "type": "any", "label": "Parameter Value" } ] } ] } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": [ { "label": "System", "value": "system" }, { "label": "User", "value": "user" }, { "label": "Assistant", "value": "assistant" } ], "required": true }, { "name": "content", "type": "text", "label": "Message Content" } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true } ] } }, { "id": 32, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": { "__IMTCONN__": 722797 }, "mapper": { "model": "gpt-4o", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are an expert LinkedIn marketer with over 10 years of experience making engaging LinkedIn posts. You are part of FG Labs, an AI Automation agency." }, { "role": "user", "content": "Create an engaging LinkedIn post using the following structure: [Post Structure], integrating the best one of the three given hooks [Hooks] and article content [Article Content]. \n\nWrite the post in third person, without any quotation marks, square brackets, or markdown, ensuring it appears authentic and human-written. Don't add fancy words unless it refers to something technical.\n\nAdd relevant hashtags at the end (e.g., #AI #Tech) and include the article URL where applicable [URL].\n\nInclude a Call To Action encouraging readers to visit our website (fglabs.co) or follow our LinkedIn page, depending on the context of the article. Do not add both. \n\nOnly return the post content, and do not return any of your comments. Write in third person. Do not add quotation marks anywhere in the content you provide." }, { "role": "user", "content": "[Article Content]: {{6.text}}\n[Hooks]: {{37.result}}\n[URL]: {{3.url}}\n\n[Post Structure]: \n{Hook}\n{Content}\n{CTA}" }, { "role": "assistant", "content": "[Example 1]: ChatGPT is the only AI you've ever tried.But mastering it is still a challenge for many:Sounds complex? It’s simple to master once you know the techniques.☑ Zero-shot vs. Few-shot prompting: Zero-shot means no examples; few-shot means providing a few examples to guide the AI. With the right examples, ChatGPT knows exactly what to do.☑ Chain-of-Thought prompting: Think of it as a sequence of steps. For example, when writing an article, start with the topic, then find the angle, create the title, outline the content, and fill in the details. Don't assume the AI knows better than you—guide it through each step.☑ Multimodality: ChatGPT can handle images, PDFs, and even browse the internet to generate or analyze content.Ready to master ChatGPT? Follow FG Labs to stay ahead of the curve before AI masters you.\n\n​" }, { "role": "assistant", "content": "[Example 2]: Ever wondered why some businesses skyrocket while others stall?It’s all about mastering the fundamentals. Companies that invest in their employees' skill development see a significant return on investment. Continuous learning isn't just a buzzword—it's a proven strategy for success. Beyond the initial training, these companies often see long-term benefits, including higher employee retention and increased innovation. Employees who feel valued and continually challenged are more likely to contribute new ideas and improve processes, driving the company forward.Ready to take your team to the next level?By implementing structured learning paths and leveraging modern educational tools, businesses can boost productivity, morale, and innovation across the organization. The key is consistency and commitment to growth. Moreover, integrating continuous learning into the company culture ensures that the workforce remains agile and adaptable, ready to face new challenges and seize emerging opportunities.Let’s discuss how we can help your team reach new heights. Contact us at fglabs.co.#LearningAndDevelopment #ContinuousLearning #BusinessGrowth #EmployeeEngagement #Innovation" }, { "role": "assistant", "content": "[Example 3]: Is your marketing strategy keeping up with the times?With digital transformation accelerating, traditional marketing tactics alone won’t cut it anymore. Brands that integrate AI-driven insights into their campaigns are seeing a 20% increase in engagement and conversion rates. These tools allow for more precise targeting, personalized content, and real-time adjustments, which significantly enhance the effectiveness of marketing efforts. As consumers become more discerning, the ability to adapt quickly to changing preferences and behaviors becomes crucial.Don’t let your brand fall behind.AI can personalize customer experiences at scale, giving companies the edge over competitors who are still relying on outdated strategies. By leveraging AI, brands can create dynamic marketing campaigns that resonate with their audience, resulting in higher engagement and loyalty. The data-driven insights provided by AI can also identify new market opportunities, allowing businesses to stay ahead of trends and remain competitive in an increasingly digital marketplace.Want to learn more about integrating AI into your marketing? Follow us on LinkedIn to stay updated on the latest trends.#DigitalMarketing #AI #CustomerExperience #MarketingStrategy #BusinessGrowth" }, { "role": "assistant", "content": "[Example 4]: \"AI is not making any progress\"? Look closer. OpenAI GPT-4 level models got 240x cheaper in just 2 years! AI progress isn't linear and is just about bigger models.- BERT -> DistilBERT- Llama 2 70B -> Llama 3 8B- GPT-4 -> GPT-4o-mini- Llama 3 405B → Llama 4 70B?? Models get bigger, then smaller but equally powerful. It's a cycle of innovation. Today's quality per $ is the most expensive we'll see.Making it cheaper will lead to more people using, learning, and building with AI, which might unlock more potential and “goodput” for everyone than yet another Foundation Model!AI's real progress: Getting into more hands." } ], "max_tokens": "0", "temperature": "1", "n_completions": "1", "response_format": "text" }, "metadata": { "designer": { "x": 1509, "y": -1, "name": "Blog Post + ToV" }, "restore": { "expect": { "stop": { "mode": "chose" }, "model": { "mode": "chose", "label": "gpt-4o (system)" }, "select": { "label": "Create a Chat Completion (GPT Models)" }, "messages": { "mode": "chose", "items": [ { "role": { "mode": "chose", "label": "System" } }, { "role": { "mode": "chose", "label": "User" } }, { "role": { "mode": "chose", "label": "User" } }, { "role": { "mode": "chose", "label": "Assistant" } }, { "role": { "mode": "chose", "label": "Assistant" } }, { "role": { "mode": "chose", "label": "Assistant" } }, { "role": { "mode": "chose", "label": "Assistant" } } ] }, "logit_bias": { "mode": "chose" }, "response_format": { "mode": "chose", "label": "Text" }, "additionalParameters": { "mode": "chose" } }, "parameters": { "__IMTCONN__": { "data": { "scoped": "true", "connection": "openai-gpt-3" }, "label": "My OpenAI connection" } } }, "parameters": [ { "name": "__IMTCONN__", "type": "account:openai-gpt-3", "label": "Connection", "required": true } ], "expect": [ { "name": "select", "type": "select", "label": "Select Method", "required": true, "validate": { "enum": [ "chat", "prompt" ] } }, { "name": "max_tokens", "type": "number", "label": "Max Tokens", "required": true }, { "name": "temperature", "type": "number", "label": "Temperature", "validate": { "max": 2, "min": 0 } }, { "name": "top_p", "type": "number", "label": "Top P", "validate": { "max": 1, "min": 0 } }, { "name": "n_completions", "type": "number", "label": "Number" }, { "name": "frequency_penalty", "type": "number", "label": "Frequency Penalty", "validate": { "max": 2, "min": -2 } }, { "name": "presence_penalty", "type": "number", "label": "Presence Penalty", "validate": { "max": 2, "min": -2 } }, { "name": "logit_bias", "spec": { "name": "value", "spec": [ { "name": "token", "type": "text", "label": "Token ID", "required": true }, { "name": "probability", "type": "number", "label": "Probability", "required": true, "validate": { "max": 100, "min": -100 } } ], "type": "collection", "label": "Token Probability" }, "type": "array", "label": "Token Probability" }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "seed", "type": "integer", "label": "Seed" }, { "name": "stop", "spec": { "name": "value", "type": "text", "label": "Stop Sequence" }, "type": "array", "label": "Stop Sequences", "validate": { "maxItems": 4 } }, { "name": "additionalParameters", "spec": { "name": "value", "spec": [ { "name": "key", "type": "text", "label": "Parameter Name", "required": true }, { "name": "type", "type": "select", "label": "Input Type", "options": [ { "label": "Text", "value": "text", "nested": [ { "name": "value", "type": "text", "label": "Parameter Value" } ], "default": true }, { "label": "Number", "value": "number", "nested": [ { "name": "value", "type": "number", "label": "Parameter Value" } ] }, { "label": "Boolean", "value": "boolean", "nested": [ { "name": "value", "type": "boolean", "label": "Parameter Value" } ] }, { "label": "Date", "value": "date", "nested": [ { "name": "value", "type": "date", "label": "Parameter Value" } ] }, { "label": "Any", "value": "any", "nested": [ { "name": "value", "type": "any", "label": "Parameter Value" } ] } ] } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": [ { "label": "System", "value": "system" }, { "label": "User", "value": "user" }, { "label": "Assistant", "value": "assistant" } ], "required": true }, { "name": "content", "type": "text", "label": "Message Content" } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true } ] } }, { "id": 29, "module": "http:ActionGetFile", "version": 3, "parameters": { "handleErrors": false }, "mapper": { "url": "{{3.rssFields.`media:content`.props.url}}", "method": "get", "serializeUrl": false, "shareCookies": false }, "metadata": { "designer": { "x": 1800, "y": 0 }, "restore": {}, "parameters": [ { "name": "handleErrors", "type": "boolean", "label": "Evaluate all states as errors (except for 2xx and 3xx )", "required": true } ], "expect": [ { "name": "url", "type": "url", "label": "URL", "required": true }, { "name": "serializeUrl", "type": "boolean", "label": "Serialize URL", "required": true }, { "name": "method", "type": "hidden", "label": "Method" }, { "name": "shareCookies", "type": "boolean", "label": "Share cookies with other HTTP modules", "required": true } ] } }, { "id": 30, "module": "linkedin:CreateCompanyImagePost", "version": 2, "parameters": { "__IMTCONN__": 1240736 }, "mapper": { "data": "{{29.data}}", "title": "{{29.fileName}}", "content": "{{32.result}}", "fileName": "{{29.fileName}}", "visibility": "PUBLIC", "organization": "urn:li:organization:88150307", "feedDistribution": "MAIN_FEED", "isReshareDisabledByAuthor": false }, "metadata": { "designer": { "x": 2100, "y": 0 }, "restore": { "expect": { "visibility": { "mode": "chose", "label": "Public" }, "organization": { "mode": "chose", "label": "fglabs." }, "feedDistribution": { "mode": "chose", "label": "Main feed" }, "isReshareDisabledByAuthor": { "mode": "chose" } }, "parameters": { "__IMTCONN__": { "data": { "scoped": "true", "connection": "linkedin2" }, "label": "FG Automation (Francisco Jiménez)" } } }, "parameters": [ { "name": "__IMTCONN__", "type": "account:linkedin2", "label": "Connection", "required": true } ], "expect": [ { "name": "organization", "type": "select", "label": "Organization", "required": true }, { "name": "fileName", "type": "text", "label": "File name", "required": true }, { "name": "data", "type": "buffer", "label": "Data", "required": true }, { "name": "title", "type": "text", "label": "Title" }, { "name": "altText", "type": "text", "label": "Alt Text" }, { "name": "content", "type": "text", "label": "Content", "required": true }, { "name": "visibility", "type": "select", "label": "Visibility", "required": true, "validate": { "enum": [ "PUBLIC", "CONNECTIONS", "LOGGED_IN" ] } }, { "name": "feedDistribution", "type": "select", "label": "Feed Distribution", "required": true, "validate": { "enum": [ "MAIN_FEED", "NONE" ] } }, { "name": "isReshareDisabledByAuthor", "type": "boolean", "label": "Is Reshare Disabled", "required": true } ] } } ], "metadata": { "instant": false, "version": 1, "scenario": { "roundtrips": 1, "maxErrors": 3, "autoCommit": true, "autoCommitTriggerLast": true, "sequential": false, "slots": null, "confidential": false, "dataloss": false, "dlq": false, "freshVariables": false }, "designer": { "orphans": [ [ { "id": 36, "module": "openai-gpt-3:messageAssistantAdvanced", "version": 1, "parameters": { "__IMTCONN__": 722797 }, "mapper": { "role": "user", "message": "[Article Content]: {{6.text}}\n[Hooks]: {{21.content[].text.value}}\n[URL]: {{3.url}}\n\n[Post Structure]: \n{Hook1}\n{Content}\n{Hook2}\n{Content2}\n{CTA}", "assistantId": "asst_7GCLxwzQ6si2ktYKfi4mB3eJ" }, "metadata": { "designer": { "x": 158, "y": 1343, "name": "Blog Maker", "messages": [ { "category": "reference", "severity": "error", "message": "Module references non-existing module '21'." }, { "category": "reference", "severity": "warning", "message": "Referenced module 'RSS - Retrieve RSS feed items' [3] is not accessible." }, { "category": "reference", "severity": "warning", "message": "Referenced module 'Text parser - HTML to text' [6] is not accessible." }, { "category": "link", "severity": "warning", "message": "The module is not connected to the data flow." } ] }, "restore": { "expect": { "role": { "label": "User" }, "model": { "mode": "chose", "label": "Empty" }, "tools": { "mode": "chose" }, "image_urls": { "mode": "chose" }, "assistantId": { "mode": "chose", "label": "Tone LinkedIn Poster (gpt-4o)", "nested": [] }, "image_files": { "mode": "chose" }, "tool_choice": { "mode": "chose", "label": "Empty" }, "response_format": { "mode": "chose", "label": "Empty" }, "truncation_strategy": { "mode": "chose", "label": "Empty" }, "file_search_resources": { "mode": "chose", "label": "Empty" }, "code_interpreter_resources": { "mode": "chose" } }, "parameters": { "__IMTCONN__": { "data": { "scoped": "true", "connection": "openai-gpt-3" }, "label": "My OpenAI connection" } } }, "parameters": [ { "name": "__IMTCONN__", "type": "account:openai-gpt-3", "label": "Connection", "required": true } ], "expect": [ { "name": "assistantId", "type": "select", "label": "Assistant", "required": true }, { "name": "role", "type": "select", "label": "Role", "required": true, "validate": { "enum": [ "user", "assistant" ] } }, { "name": "threadId", "type": "text", "label": "Thread ID" }, { "name": "model", "type": "select", "label": "Model" }, { "name": "tools", "type": "select", "label": "Tools", "multiple": true, "validate": { "enum": [ "file_search", "code_interpreter" ] } }, { "name": "file_search_resources", "type": "select", "label": "File Search Resources" }, { "name": "code_interpreter_resources", "type": "select", "label": "Code Interpreter Resources", "multiple": true, "validate": { "maxItems": 20 } }, { "name": "tool_choice", "type": "select", "label": "Tool Choice", "validate": { "enum": [ "none", "auto", "required", "file_search", "code_interpreter", "function" ] } }, { "name": "instructions", "type": "text", "label": "Instructions" }, 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