{ "name": "YouTube Video Repurposing Engine", "flow": [ { "id": 29, "module": "apify:finishedActorRuns", "version": 1, "parameters": {}, "mapper": {}, "metadata": { "designer": { "x": 2110, "y": 319 }, "parameters": [ { "name": "__IMTHOOK__", "type": "hook:apify", "label": "Webhook", "required": true } ] } }, { "id": 1, "module": "apify:fetchDatasetItems", "version": 1, "parameters": {}, "mapper": { "type": "clean", "limit": "1000", "format": "json", "datasetId": "YOUR_DATASET_ID" }, "metadata": { "designer": { "x": 2392, "y": 325 }, "parameters": [ { "name": "__IMTCONN__", "type": "account:apify2,apify", "label": "Connection", "required": true } ], "expect": [ { "name": "datasetId", "type": "text", "label": "Dataset ID", "required": true }, { "name": "type", "type": "select", "label": "Data transformation", "required": true, "validate": { "enum": [ "clean", "simplified", "none" ] } }, { "name": "format", "type": "select", "label": "Format", "required": true, "validate": { "enum": [ "json", "csv", "html", "xml", "rss", "xlsx" ] } }, { "name": "limit", "type": "uinteger", "label": "Limit", "validate": { "max": 100000, "min": 1 } }, { "name": "offset", "type": "uinteger", "label": "Offset", "validate": { "min": 0 } } ] } }, { "id": 4, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": {}, "mapper": { "model": "gpt-4o", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are a helpful, intelligent writing assistant." }, { "role": "user", "content": "We are generating content based on YouTube video transcripts.\n\nYour task is to take as input a full transcript of a YouTube video, and output a variety of parameters:\n\n1. Summary: a several-paragraph summary of the key findings of the transcript.\n2. Outline: a detailed, chapter-style outline of the transcript, written as if you were outlining a book (in atx Markdown format). Go into extreme levels of detail in your bullet points—you should be able to recreate most of the content using solely the outline. For instance, don't just say \"I discuss leverage\", say \"I discuss leverage: the concept of how simple machines, like automations, can multiply your output if constructed intelligently\".\n3. Suggestions: three ways we could modify the content to improve it; twists, different ideas, areas we could add more context, etc. Be extremely unique (spicy preferred).\n\nRules:\n- Write in a casual, but spartan tone of voice. No frills.\n- Use a first-person POV for everything: you *are* the creator.\n- Output your response in JSON using this format:\n\n{\"summary\":\"\",\"outline\":\"\",\"suggestions\":[\"\",\"\",\"\"]}", "imageDetail": "auto" }, { "role": "user", "content": "{{1.transcriptText}}", "imageDetail": "auto" } ], "max_tokens": "8192", "temperature": "0.8", "n_completions": "1", "response_format": "json_object", "parseJSONResponse": true }, "metadata": { "designer": { "x": 2700, "y": 325, "name": "Process Transcript" }, "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": "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": "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" } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "max_tokens", "type": "uinteger", "label": "Max Completion Tokens" }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": { "store": [ { "label": "User", "value": "user", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" }, { "name": "imageInputType", "type": "select", "label": "Image Input Type", "mappable": false }, { "help": "Recommended value: `Auto`", "name": "imageDetail", "type": "select", "label": "Image Detail" } ] }, { "label": "Assistant", "value": "assistant", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] }, { "label": "Developer / System", "value": "system", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] } ] }, "required": true } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "prediction", "type": "text", "label": "Predicted Outputs" }, { "name": "parseJSONResponse", "type": "boolean", "label": "Parse JSON Response", "required": true } ], "advanced": true } }, { "id": 26, "module": "util:FunctionSleep", "version": 1, "parameters": {}, "mapper": { "duration": "5" }, "metadata": { "designer": { "x": 3012, "y": 325 }, "expect": [ { "name": "duration", "type": "uinteger", "label": "Delay", "required": true, "validate": { "max": 300, "min": 1 } } ] } }, { "id": 9, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": {}, "mapper": { "model": "gpt-4o", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are a helpful, intelligent writing assistant." }, { "role": "user", "content": "We are generating high quality content based on YouTube video transcripts.\n\nYour task is to take as input an outline for a YouTube video, and then implement the provided suggestions to make it significantly more detailed.\n\nRules:\n- Write in a casual, but spartan tone of voice. No frills.\n- You'll be provided a list of three suggestions and the outline. Modify the outline and add detail. Keep the outline in Markdown (atx) format. Output each chapter heading as an H2 (##)\n- Output your response in JSON using this format:\n\n{\n\"modifiedOutline\": \"\"\n}", "imageDetail": "auto" }, { "role": "user", "content": "{\"outline\":\"{{4.result.outline}}\",\"suggestions\":[\"{{4.result.suggestions[1]}}\",\"{{4.result.suggestions[2]}}\",\"{{4.result.suggestions[3]}}\"]}", "imageDetail": "auto" } ], "max_tokens": "8192", "temperature": "0.8", "n_completions": "1", "response_format": "json_object", "parseJSONResponse": true }, "metadata": { "designer": { "x": 1500, "y": 600, "name": "Upgrade Outline" }, "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": "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": "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" } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "max_tokens", "type": "uinteger", "label": "Max Completion Tokens" }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": { "store": [ { "label": "User", "value": "user", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" }, { "name": "imageInputType", "type": "select", "label": "Image Input Type", "mappable": false }, { "help": "Recommended value: `Auto`", "name": "imageDetail", "type": "select", "label": "Image Detail" } ] }, { "label": "Assistant", "value": "assistant", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] }, { "label": "Developer / System", "value": "system", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] } ] }, "required": true } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "prediction", "type": "text", "label": "Predicted Outputs" }, { "name": "parseJSONResponse", "type": "boolean", "label": "Parse JSON Response", "required": true } ], "advanced": true } }, { "id": 27, "module": "util:FunctionSleep", "version": 1, "parameters": {}, "mapper": { "duration": "5" }, "metadata": { "designer": { "x": 1800, "y": 600 }, "expect": [ { "name": "duration", "type": "uinteger", "label": "Delay", "required": true, "validate": { "max": 300, "min": 1 } } ] } }, { "id": 10, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": {}, "mapper": { "model": "gpt-4o", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are a helpful, intelligent writing assistant with deep expertise in writing compelling social media posts for Twitter, LinkedIn, Facebook, and Instagram." }, { "role": "user", "content": "We are generating high quality content for social media platforms based on provided outline. \n\nYour task is to take as input an outline for a YouTube video, and then produce social media posts for Twitter, LinkedIn, Facebook, Instagram as well as a YouTube script. \n\nSocial Media Post Generation Guidelines:\n\n1. Twitter\nCharacter Limit: 280 characters.\nBest Practices:\nWrite concise and engaging content.\nUse 1–2 hashtags to enhance discoverability.\nBegin with a compelling stat, question, or bold statement.\nEncourage interaction with clear calls-to-action (e.g., reply, retweet).\nLeverage trending topics or hashtags for relevance.\n\n2. LinkedIn\nCharacter Limit: 3,000 characters.\nBest Practices:\nUse the first 2–3 lines to capture attention; LinkedIn truncates longer posts.\nShare value-driven insights, thought leadership, or professional stories.\nAsk questions or include calls-to-action to encourage engagement.\nExperiment with various formats, such as text posts, articles, or document uploads.\nPost consistently during peak hours (weekday mornings or early afternoons).\n\n3. Facebook\nCharacter Limit: No hard limit, but aim for 50–80 characters for short posts or 200–300 for engagement-focused posts.\nBest Practices:\nKeep the copy conversational and concise.\nUse questions or polls to encourage interaction.\nFocus on engagement-based content for organic reach.\nPost consistently to build familiarity and trust.\n\n4. Instagram\nCaption Limit: 2,200 characters (truncates at ~125 characters).\nHashtags: Use up to 30, but 5–9 relevant hashtags are ideal.\nBest Practices:\nWrite short and impactful captions. Use line breaks for longer storytelling.\nPlace hashtags at the end of the caption for cleaner text.\nUse engagement prompts such as questions or actionable CTAs.\nInclude a mix of evergreen and time-sensitive posts to keep content dynamic.\n\n5. YouTube Script\nTitle: 100-character limit; aim for 60 characters.\nDescription: 5,000-character limit; prioritize key details in the first 100 characters.\nScript: No character limit; long content, aim for 10,000+ characters, including the same content as the transcript but written differently to support the recording process \nTags: 500-character limit; include 5–15 relevant tags.\nBest Practices:\nWrite strong, keyword-rich titles to improve discoverability.\nUse a clear and compelling description, including timestamps and links.\nInclude a direct CTA in the video script (e.g., “Subscribe,” “Comment”).\nUse consistent posting schedules to grow audience engagement.\nLeverage the community tab for additional text-based interactions.\n\nRules:\n-Do not add CTAs in these posts. Posts should align in tone and message across platforms while respecting platform specific nuances and best practices.\n-Write in the first person POV. You are the creator.\n- Write in a casual, but spartan tone of voice. No frills. \n-Output your response in JSON using this format: \n\n{\"twitter\": \"\",\"instagram\":\"\",\"linkedIn\":\"\",\"facebook\":\"\",\"youTubeScript\":\"\"}\n​", "imageDetail": "auto" }, { "role": "user", "content": "{\"outline\":\"{{4.result.outline}}\",\"suggestions\":[\"{{4.result.suggestions[1]}}\",\"{{4.result.suggestions[2]}}\",\"{{4.result.suggestions[3]}}\"]}", "imageDetail": "auto" } ], "max_tokens": "8192", "temperature": "1", "n_completions": "1", "response_format": "text" }, "metadata": { "designer": { "x": 2100, "y": 600, "name": "Generate Social Media Posts" }, "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": "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": "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" } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "max_tokens", "type": "uinteger", "label": "Max Completion Tokens" }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": { "store": [ { "label": "User", "value": "user", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" }, { "name": "imageInputType", "type": "select", "label": "Image Input Type", "mappable": false }, { "help": "Recommended value: `Auto`", "name": "imageDetail", "type": "select", "label": "Image Detail" } ] }, { "label": "Assistant", "value": "assistant", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] }, { "label": "Developer / System", "value": "system", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] } ] }, "required": true } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "prediction", "type": "text", "label": "Predicted Outputs" } ], "advanced": true } }, { "id": 13, "module": "util:SetVariable2", "version": 1, "parameters": {}, "mapper": { "name": "outlineTestVariable", "scope": "roundtrip", "value": "{{9.result.modifiedOutline}}" }, "metadata": { "designer": { "x": 2400, "y": 600, "name": "Outline" }, "expect": [ { "name": "name", "type": "text", "label": "Variable name", "required": true }, { "name": "scope", "type": "select", "label": "Variable lifetime", "required": true, "validate": { "enum": [ "roundtrip", "execution" ] } }, { "name": "value", "type": "any", "label": "Variable value" } ] } }, { "id": 12, "module": "builtin:BasicFeeder", "version": 1, "parameters": {}, "mapper": { "array": "{{split(13.outlineTestVariable; \"##\" + space)}}" }, "metadata": { "designer": { "x": 2700, "y": 600 }, "expect": [ { "mode": "edit", "name": "array", "spec": [], "type": "array", "label": "Array" } ] } }, { "id": 11, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": {}, "mapper": { "model": "gpt-4o", "top_p": "1", "select": "chat", "messages": [ { "role": "system", "content": "You are a helpful, intelligent writing assistant." }, { "role": "user", "content": "We are generating a high-quality script for an upcoming YouTube video titled: \n\n--\n\nWe are doing this section by section. Your current section is:\n\n{{12.value}}\n\n--\n\nA summary of the video is here:\n\n{{4.result.summary}}\n\n--\n\nYour task is to produce an engaging piece of script for this section. Output in Markdown (atx) format using H2s (##) and H3s (###). Your first heading should be the title of the section.\n\nDo not add CTAs. Section should be extremely in-depth, and written in a casual, but spartan tone of voice. No frills. Write in the first person.\n\nOutput your response in JSON using this format:\n\n{\n \"generatedSection\": \"\"\n}", "imageDetail": "auto" } ], "max_tokens": "8192", "temperature": "0.8", "n_completions": "1", "response_format": "json_object", "parseJSONResponse": true }, "metadata": { "designer": { "x": 3000, "y": 600, "name": "Generate YouTube Script" }, "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": "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": "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" } ], "type": "collection", "label": "Input Parameter" }, "type": "array", "label": "Other Input Parameters" }, { "name": "model", "type": "select", "label": "Model", "required": true }, { "name": "max_tokens", "type": "uinteger", "label": "Max Completion Tokens" }, { "name": "messages", "spec": { "name": "value", "spec": [ { "name": "role", "type": "select", "label": "Role", "options": { "store": [ { "label": "User", "value": "user", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" }, { "name": "imageInputType", "type": "select", "label": "Image Input Type", "mappable": false }, { "help": "Recommended value: `Auto`", "name": "imageDetail", "type": "select", "label": "Image Detail" } ] }, { "label": "Assistant", "value": "assistant", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] }, { "label": "Developer / System", "value": "system", "nested": [ { "help": "Text content of the message on behalf of the selected __Role__.", "name": "content", "type": "text", "label": "Text Content" } ] } ] }, "required": true } ], "type": "collection", "label": "Message" }, "type": "array", "label": "Messages", "required": true }, { "name": "response_format", "type": "select", "label": "Response Format", "validate": { "enum": [ "text", "json_object" ] } }, { "name": "prediction", "type": "text", "label": "Predicted Outputs" }, { "name": "parseJSONResponse", "type": "boolean", "label": "Parse JSON Response", "required": true } ], "advanced": true } }, { "id": 17, "module": "util:FunctionSleep", "version": 1, "parameters": {}, "mapper": { "duration": "5" }, "metadata": { "designer": { "x": 1486, "y": 881 }, "expect": [ { "name": "duration", "type": "uinteger", "label": "Delay", "required": true, "validate": { "max": 300, "min": 1 } } ] } }, { "id": 15, "module": "builtin:BasicAggregator", "version": 1, "parameters": { "feeder": 12 }, "mapper": { "id": "{{11.id}}", "model": "{{11.model}}", "usage": "{{11.usage}}", "value": "{{12.value}}", "object": "{{11.object}}", "result": "{{11.result}}", "choices": "{{11.choices}}", "created": "{{11.created}}", "__IMTINDEX__": "{{12.`__IMTINDEX__`}}", "__IMTLENGTH__": "{{12.`__IMTLENGTH__`}}", "system_fingerprint": "{{11.system_fingerprint}}", "outlineTestVariable": "{{13.outlineTestVariable}}" }, "metadata": { "designer": { "x": 1786, "y": 881 } } }, { "id": 14, "module": "util:SetVariables", "version": 1, "parameters": {}, "mapper": { "scope": "roundtrip", "variables": [ { "name": "concatenatedScript", "value": "{{join(map(15.array; \"result.generatedSection\"); newline)}}" } ] }, "metadata": { "designer": { "x": 2086, "y": 881 }, "expect": [ { "name": "variables", "spec": [ { "name": "name", "type": "text", "label": "Variable name", "required": true }, { "name": "value", "type": "any", "label": "Variable value" } ], "type": "array", "label": "Variables" }, { "name": "scope", "type": "select", "label": "Variable lifetime", "required": true, "validate": { "enum": [ "roundtrip", "execution" ] } } ] } }, { "id": 16, "module": "openai-gpt-3:CreateCompletion", "version": 1, "parameters": {}, "mapper": { "model": "o1-preview", "top_p": "1", "select": "chat", "messages": [ { "role": "user", "content": "We are generating a high-quality script for an upcoming YouTube.\n\nYour task is to take as input the script, and smooth out any inconsistencies, repetitions, or unnecessary sections. You will then output the response in Markdown (atx) format.\n\nRules:\n- Keep the script the same. 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