HTTP Request Workflows
1.200 Ergebnisse — 3 herunterladbare Workflow-Dateien, 1.197 quellenverknüpfte n8n-Referenzen
WSummarize Telegram-shared webpages with OpenAI GPT-4o
Quick overview This workflow listens for Telegram messages containing a URL, fetches and cleans the webpage content, summarizes it with an OpenAI chat model, and replies in the same Telegram chat with a formatted summary including key points and action items. How it works Triggers when a new Telegram message is received by your bot. Extracts the first http/https URL from the message text and captures the sender’s chat ID. If no valid URL is found, sends an error message back to the same Telegram chat. If a valid URL is found, fetches the webpage HTML and extracts the title and cleaned body text while removing common boilerplate elements. Truncates the extracted text to a configurable maximum length and sends the title, URL, and text to OpenAI to generate a structured JSON summary. Formats the JSON into Telegram HTML (title, source link, summary, key points, and insights/action items) and sends it back to the original chat. Setup Create a Telegram bot and add a Telegram API credential in n8n, then select it in both the Telegram Trigger and the send-message steps. Add an OpenAI API credential in n8n and select it for the OpenAI chat model used for summarization. Activate the workflow
Triage network read and commit requests with Slack, Anthropic, and pyATS
Quick overview This Slack ChatOps workflow uses AI agents and a pyATS MCP server to handle day-to-day data network housekeeping tasks: from on-demand checks and validations per device, to configuration change proposals that require human approval before commit. Read the docs here: https://cs.co/9004BEMGZm How it works A network engineer mentions the Slack bot in a channel or thread. The workflow acknowledges the request and captures the full message The request is sent to a Planning Agent connected to pyATS through read-only MCP tools. The agent determines whether the user wants operational data or a configuration change, gathers live device evidence if needed, and evaluates whether the request is safe. If the request is operational only, or if the proposed change is unsafe, the workflow replies in the same Slack thread with a clear technical summary, including the relevant device findings or the reason why no change will be made. If the request is a safe configuration change, the workflow creates one approval card per target device. Each card shows the proposed change, the pre-check evidence collected from the device, and the safety rationale so the engineer can review exactly wha
WSend weekly Vercel analytics digest emails with Groq and SMTP
Quick Overview This workflow runs every Monday, pulls the last 7 days of Vercel Web Analytics data, uses Groq (Llama 3.3 70B) to generate an HTML summary, and emails a weekly digest via SMTP, with an automatic raw-stats fallback if the AI step fails. How it works Runs every Monday at 9:00 AM based on your n8n instance timezone. Builds the reporting window and key settings (Vercel project/team IDs, site name, sender, and recipient) and generates millisecond timestamps for the last 7 days. Calls the Vercel Web Analytics Query API to fetch total page views and unique visitors, then fetches the top 5 pages and top 5 referrer hostnames for the same time range. Consolidates the three Vercel responses into a single JSON report with calculated pages-per-visit and defensive handling for missing or empty data. Sends the report to Groq Llama 3.3 70B to produce a structured HTML digest with headline, metrics, top pages, traffic sources, and a single actionable insight. If the Groq request errors, generates a plain HTML “raw numbers” version of the digest instead. Sends the final HTML digest email via SMTP using the configured sender and recipient addresses. Setup Create a Vercel API token and
WTrack positive Instagram comment sentiment with OpenAI, Google Sheets, and Gmail
Quick overview This workflow runs twice daily to fetch recent Instagram post comments via the Instagram Graph API, uses OpenAI to classify sentiment, saves new positive comments to Google Sheets, and emails an HTML digest of the day’s positive comments to your team using Gmail. How it works Runs every day at 9 AM to fetch the most recent Instagram media posts from the Instagram Graph API. Pulls up to a set number of comments per post and enriches each comment with post context like the permalink. Sends each comment to OpenAI Chat Completions to classify it as POSITIVE, NEUTRAL, or NEGATIVE with a score. Filters to keep only non-empty comments classified as POSITIVE. Checks Google Sheets for an existing row with the same Instagram comment ID to prevent duplicates. Appends new positive comments to a Google Sheets tab for later reporting. Runs every day at 8 PM to read the saved rows from Google Sheets, build a formatted HTML summary for today, and send the digest email via Gmail. Setup Create a Facebook app with Instagram Graph API access and provide a long-lived access token plus your Instagram Business Account ID in the workflow’s configuration step. Add an OpenAI API credential fo
WRun a Telegram RAG support chatbot with OpenAI, Pinecone, and Google Sheets
Quick overview This workflow turns a Telegram bot into a multi-modal support chatbot that accepts text, voice, images, and PDFs, converts them to text, retrieves relevant knowledge from Pinecone using OpenAI embeddings, generates a grounded answer with OpenAI Chat Completions, and logs each conversation to Google Sheets. How it works Triggers when a new message is received by your Telegram bot. Detects whether the message is text, a voice note, a photo, a PDF document, or an admin-only /ingest command, and extracts the needed user and file identifiers. For voice, image, and PDF inputs, downloads the file from Telegram and converts it into text using OpenAI Whisper, OpenAI Vision, or PDF text extraction. Builds a single query text from the normalized input and creates an embedding with the OpenAI Embeddings API. Queries Pinecone for the top 3 most relevant knowledge base chunks and assembles them into a context block. Sends the query and retrieved context to the OpenAI Chat Completions API to generate an answer constrained to the provided knowledge. Sends the reply back to the user in Telegram and appends a conversation log row (including session ID and chunk count) to Google Sheets
WTrack SIP goals with OpenAI ChatGPT, Gmail and Google Sheets
Quick Overview This workflow collects SIP and mutual fund details via an n8n Form, calculates goal and performance metrics, generates a personalized advisory using OpenAI, emails a color-coded HTML report via Gmail, and appends each submission to a Google Sheets log for ongoing tracking. How it works Receives an investor submission through an n8n Form with SIP, fund, and goal details. Calculates months invested, total invested, returns, an approximate CAGR, goal completion percentage, and an estimated monthly top-up needed to reach the goal. Sends the calculated metrics to OpenAI Chat Completions to generate a structured, plain-English advisory (including ELSS 80C context when applicable). Parses the AI response with a fallback advisory if parsing fails, and assigns colors for performance, returns, and goal progress. Builds a color-coded HTML email report with KPI cards, a goal progress bar, and the advisory sections. Appends the submission and calculated metrics to a Google Sheets “SIP Log” tab and emails the report to the investor via Gmail. Setup Add an OpenAI API credential and ensure the OpenAI Chat Completions endpoint is accessible from your n8n instance. Connect Google Shee
WOnboard employees and manage Slack access with Google Sheets and Gmail
Quick Overview This workflow automates HR onboarding by capturing new hires via a webhook, saving them to Google Sheets, emailing a Slack invite via Gmail, and notifying managers in Slack, then listening for Slack team_join events to add new hires to department channels and update onboarding status. How it works Receives a POST webhook request from an HR form with new employee details and validates required fields. Appends the employee record to a Google Sheets spreadsheet and assigns a department-based list of Slack channels plus a static Slack invite link. Sends the new hire a welcome email through Gmail containing their start details and the Slack workspace invite link. Sends a Slack direct message to a manager user with the new hire details and the channels they will be added to, then updates the Google Sheets row to “Invite Sent” with a timestamp and responds to the HR form. Receives Slack Events API requests for the workspace and replies to url_verification challenges or immediately acknowledges real team_join events within 3 seconds. Extracts the joining user’s Slack ID and email, looks up the matching employee row in Google Sheets, and resolves the department’s target chann
Schedule YouTube Shorts to Pinterest with Apify, Gemini, and an OpenAI model
Quick overview This workflow receives YouTube Shorts webhook events, downloads the video via Apify, uses Google Gemini and an OpenAI-compatible chat model to generate Pinterest SEO metadata and choose a board, then schedules a Pinterest video pin through Zernio (Late) for publishing. How it works Receives a webhook request for YouTube PubSubHubBub verification and responds with the provided hub challenge. Receives a POST webhook event for a new YouTube video and extracts the title, video ID, channel ID, and video URL from the feed payload. Uses Apify to fetch and process the YouTube Short and returns a downloadable MP4 URL. Sends the video to the Google Generative Language (Gemini) API to generate an analysis used for Pinterest-focused metadata. Uses a LangChain LLM chain (with structured output validation) to produce a Pinterest-ready title, description, hashtags, and a board selection from a fixed list. Maps the selected board name to a Pinterest board ID and schedules the video post to Pinterest via the Zernio (Late) API. Setup Create the YouTube webhook/PubSubHubbub subscription and configure it to call this workflow’s webhook URL at the manga-monarch-webhook path for both veri
Score call audio and alert risky calls with Tyto and Slack
Quick overview This workflow receives a webhook when a call recording is ready, sends the audio URL to a self-hosted ai-coustics Tyto scoring API, and posts a Slack alert for risky calls before returning the scored JSON response. How it works Receives a POST webhook containing an audio_url and call_id for a completed call. Sends the audio URL and call ID to a self-hosted Tyto scoring endpoint via HTTP to retrieve a risk_score, band, and main degradation cause. Checks whether the returned band indicates a risky call (band equals "bad"). Posts a formatted alert to a selected Slack channel with the call ID, risk score, band, cause, and duration when the call is risky. Labels non-risky calls as OK. Returns the resulting JSON payload (including the Tyto scoring fields) as the webhook response for downstream storage or chaining. Setup Deploy and run a Tyto HTTP wrapper on a machine that has the ai-coustics Tyto SDK and a valid ai-coustics license key. Update the api_base_url value to point to your Tyto wrapper (for example, http://localhost:8000) and ensure the wrapper exposes a POST /score endpoint. Add a Slack credential in n8n and select the target channel for the alert message. Copy
WEnrich LinkedIn leads with Unipile and Google Sheets
Quick overview Automatically search LinkedIn for prospects using Unipile's API, enrich each profile with full details, and sync leads into a Google Sheet CRM — runs daily on a schedule with rate limiting, deduplication, and error logging built in. How it works A daily Schedule Trigger fires at 08:00 and loads your search config — Unipile DSN, LinkedIn account ID, target keywords, and daily safety limits — into all downstream nodes. Unipile's Search API (POST /api/v1/linkedin/search) runs a keyword search across Classic, Sales Navigator, or Recruiter LinkedIn and auto-paginates via cursor up to a configurable page limit. Search results are split into individual profile items, de-duplicated by LinkedIn profile ID to prevent processing the same person twice across pages. A Limit node caps total profiles per run to protect your daily LinkedIn quota — Unipile recommends staying under 100 profile look-ups per account per day. Each profile is enriched with full details via GET /api/v1/users/{id}?linkedin_sections=*, processed in batches of 5 with a 3-second pause between calls to respect rate limits. A Set node maps the Unipile response to 12 clean CRM columns — name, headline, title, com
Send monthly rent and sales market updates to Slack with Rentcast and Supabase
Quick overview Youtube Video: https://youtu.be/zJlncb1T074 This workflow runs monthly, checks Supabase for up-to-date real estate market records for a configured ZIP code, and either reports existing month-over-month rent and sale trends or fetches fresh market stats from the Rentcast API, upserts them into Supabase, and posts to Slack. How it works Runs on a monthly schedule and sets the target ZIP code to analyze. Queries Supabase for rental and sales market records for that ZIP code that are older than the start of the current month. If prior data exists, calculates the last 3 months of average rent and average sale price changes from Supabase history fields and posts a status summary to Slack (or alerts if comparisons are not possible). If no up-to-date data exists, requests the latest market statistics from the Rentcast markets API for the same ZIP code. Upserts the returned rental and sales metrics (including history) into Supabase tables for market_rentals and market_sales. Computes month-over-month changes from the newly fetched history and posts the formatted market update to Slack (or sends an error alert if insufficient data is returned). Setup Create/connect Supabase cr
Send monthly real estate market summaries to Slack with Supabase and Rentcast
Quick overview Youtube Video: https://youtu.be/zJlncb1T074?si=fnKE7SPh7I-JGdmx This workflow runs monthly for a configured ZIP code, checks Supabase for recent market rental and sales records, and either reports the existing stats or pulls fresh data from the Rentcast API, upserts it into Supabase, and posts a formatted market update to Slack. How it works Runs on a monthly schedule and sets the target ZIP code to analyze. Queries Supabase tables for rental and sales market records for that ZIP code that are older than the start of the current month. If existing data is found, calculates month-over-month changes from the stored history and posts a Slack update (or an admin error message if the history is insufficient). If no current data exists, fetches the latest rental and sales market statistics from the Rentcast Markets API. Upserts the fetched rental and sales statistics (including history and summary fields) into Supabase using the REST endpoint. Calculates month-over-month changes from the newly fetched history and posts a Slack market summary, or posts an error message if the data is incomplete. Setup Create a Supabase project with market_rentals and market_sales tables and
Upscale and watermark real estate photos with Google Drive, Gemini, and Sheets
Quick overview Youtube Explanation: https://youtu.be/tDiR50VJslY This workflow watches a Google Drive folder for new property photos, checks Google Sheets to avoid reprocessing, upscales the image using the Google Gemini API, applies a logo watermark, then uploads the final image to a processed folder and logs the result back to Google Sheets. How it works Triggers every minute when a new file is created in a specific Google Drive folder. Looks up the file name in Google Sheets to see whether the image is already marked as processed. If no processed row exists, downloads the image from Google Drive and extracts its binary data. Sends the image to the Google Gemini (Generative Language) API to enhance and upscale it, then converts the returned base64 image into a binary file. Downloads a watermark logo from a public URL, calculates a bottom-right placement based on the image and logo dimensions, and composites the logo onto the upscaled image. Uploads the watermarked image to a target Google Drive folder and appends or updates a matching row in Google Sheets to mark it as processed. Setup Connect Google Drive OAuth2 credentials and set the source folder to watch and the destination
Generate structured drama scripts from webhook requests using OpenAI and Google Sheets
Quick overview This workflow accepts a webhook request with a drama topic, genre, tone, and size constraints, uses Python-based genre classification plus OpenAI GPT‑4.1 to generate a full script as structured JSON, then returns the script to the caller and appends a summary log entry to Google Sheets. How it works Receives a POST webhook request containing the script topic, genre, tone, language, act count, and character count. Normalizes inputs by applying defaults, clamping acts to 1–5 and characters to 2–8, and adding request metadata like a request ID and timestamp. Classifies the genre in Python and prepares genre-specific guidance used to shape the script structure, then filters out requests marked as invalid. Sends the prepared parameters and genre guidance to OpenAI (GPT‑4.1) to generate a complete drama script as a single JSON object. Parses and validates the AI response as JSON, falls back to a safe wrapper if parsing fails, and enriches the result with counts for acts, scenes, and characters. Waits briefly and then returns the structured script to the webhook caller while also appending a summary row to a Google Sheets tab for tracking. Setup Configure the Webhook trigge
Send crowd safety SMS reroute alerts with OpenAI, Twilio, and Google Sheets
Quick overview This workflow ingests crowd density and incident reports via webhook or a 5‑minute schedule, assesses risk with Python thresholds, uses OpenAI to generate a short rerouting recommendation, then sends an SMS via Twilio and logs each alert to a Google Sheets heatmap tracker. How it works Triggers when a POST request hits the n8n webhook or every 5 minutes on a schedule. Normalizes incoming fields (location, crowd density, safety score, incidents, traveler contact, and preferences) and fills in defaults when values are missing. Calculates risk level in Python based on configurable thresholds for high density, incident count, and low safety score. Continues only for high-risk items and pauses briefly before the AI call. Uses OpenAI (via an AI agent) to generate a personalized rerouting suggestion under 150 words from the live data and traveler preferences. Sends the rerouting alert to the traveler via Twilio SMS and appends the alert details and reroute text to a Google Sheets log via the Google Sheets API. Setup Add an OpenAI API credential and select the model in the OpenAI Chat Model connection. Configure Twilio credentials (Account SID and Auth Token), replace YOUR_T
Handle theater ticket bookings with Anthropic, Google Sheets, SendGrid, and Twilio
Quick overview This workflow receives theater ticket booking requests via webhook, validates and normalizes them with Anthropic Claude, assigns seats and calculates pricing from a Google Sheets seat map, then logs the booking, sends confirmation via SendGrid email and Twilio SMS, and returns a confirmation JSON response. How it works Receives a booking request via an HTTP POST webhook and standardizes fields like show details, ticket count, and customer contact info. Uses Anthropic Claude to validate and normalize the booking request, then filters out requests with a low validation score. Retrieves the current SeatMap data from Google Sheets and assigns specific seat numbers if enough seats remain in the requested category. Calculates the final ticket total based on seat category pricing, bulk-discount rules, and tax. Uses Anthropic Claude to generate a personalized confirmation message, upsell line, and arrival instructions. Builds a final booking record (including a QR payload string), appends it to a Google Sheets tracker, sends the confirmation by SendGrid email and Twilio SMS, and responds to the webhook with the booking confirmation JSON. Setup Add an Anthropic API credential
Create AI image and video posts from Telegram with GPT-4o, AtlasCloud and Blotato
Quick overview This workflow receives a post idea via Telegram, uses OpenAI (GPT-4o mini) to generate platform-specific copy plus image/video prompts, creates media through AtlasCloud (GPT Image 2 and Seedance 2.0), requests approvals in Telegram, and publishes the approved content to seven social platforms via Blotato. How it works Triggers when a new Telegram message arrives with a post description. Uses OpenAI (GPT-4o mini) to generate copy for X, LinkedIn, Facebook, Threads, Instagram, TikTok, and YouTube Shorts, plus an English image prompt and video prompt. Sends the prompts to AtlasCloud to generate a square image (GPT Image 2) and a vertical short video (Seedance 2.0), polling each prediction until it completes. Sends the generated image and video back to Telegram for preview and asks for approval, automatically regenerating the declined media. Publishes the approved image to X, LinkedIn, Facebook, and Threads via Blotato and confirms completion in Telegram. Publishes the approved video to Instagram Reels, TikTok, and YouTube Shorts via Blotato (with synthetic/AI flags enabled where configured) and confirms completion in Telegram. Setup Create a Telegram bot with BotFather,
WTrack brand visibility in ChatGPT results with OpenAI and Google Sheets
Quick overview This workflow runs weekly, reads buyer-style queries from Google Sheets, asks OpenAI Chat Completions (ChatGPT) each query three times, judges whether your brand is mentioned, and writes per-query visibility metrics and a 0–100 score back to a Google Sheets results tab. How it works Runs every week on a schedule trigger. Reads the query set (query, brand, and competitors) from a Google Sheets tab named queries. Duplicates each query into three sample runs to account for variation in OpenAI responses. Sends each sample query to OpenAI Chat Completions (gpt-4o-mini) to generate an answer at temperature 1. Sends the generated answer to a separate OpenAI Chat Completions judge call (gpt-4o-mini) at temperature 0 to extract structured JSON about brand mention, rank, sentiment, recommendation, and competitors mentioned. Aggregates the three judged samples per query to compute inclusion rate, average rank/sentiment, and a weighted 0–100 visibility score. Appends the per-query results (including the run date and metrics) to the results tab in Google Sheets. Setup Add an OpenAI credential for HTTP Header Auth using Authorization: Bearer . Add a Google Sheets credential with a
Generate AI songs from Telegram prompts with OpenAI and Suno
Quick overview This workflow listens for Telegram messages containing a song idea, uses OpenAI to expand the idea into a Suno-ready prompt, submits a generation request to the Suno API, polls until the track is ready, and then sends the finished audio and details back to the user in Telegram. How it works Triggers when a user sends a message to your Telegram bot. Captures the message text and chat ID, applies default generation settings, and sends an acknowledgment message back on Telegram. Uses OpenAI to rewrite the short idea into a concise, Suno-optimized music prompt based on your style preferences. Submits the enriched prompt to the Suno API to start generating a song. Waits for a configured interval, checks the Suno generation status, and repeats polling until the status is SUCCESS. Sends the generated audio URL to the user as a Telegram audio message and follows up with a completion message including the title and duration. Setup Create and select a Telegram Bot credential for the Telegram trigger and the Telegram send-audio/message steps. Add an OpenAI API credential for the OpenAI chat model used to enrich the prompt. Create an HTTP Header Auth credential for the Suno API
WExplain prescription PDFs for patients with GPT-4o-mini, Gmail and Google Sheets
Quick overview This workflow collects a patient’s prescription PDF via an n8n form, extracts its text, uses OpenAI (gpt-4o-mini) to generate a plain-language medicine-by-medicine explanation in the chosen language, emails the result via Gmail, and logs each processed prescription to Google Sheets. How it works Receives a form submission with the patient’s name, email, preferred language, optional doctor/health notes, and a prescription PDF upload. Extracts selectable text from the uploaded PDF. Validates required fields, checks that the PDF contains readable text, and truncates/cleans the extracted content for the AI prompt. Sends the prescription text and context to OpenAI Chat Completions (gpt-4o-mini) and requests a structured JSON explanation of each medicine in the selected language. Parses and validates the returned JSON, ensuring at least one medicine is found and merging the AI output with the patient context. Appends an audit row (date, patient details, doctor, medicine count, language, status, processed time) to a Google Sheets “Log” worksheet. Builds a formatted HTML email with the medicine explanations and disclaimer, then sends it to the patient using Gmail. Setup Add
Create and publish AI video reels to Instagram from Telegram with OpenAI and AtlasCloud
Quick overview This workflow turns a Telegram message into an AI-generated vertical video using AtlasCloud Seedance 2.0, generates an Instagram-ready caption with OpenAI, publishes the reel via Blotato, and sends a Telegram confirmation with the published video URL. How it works Triggers when a new message is received by your Telegram bot. Uses OpenAI to expand the message into a short, visually descriptive 9:16 text-to-video prompt. Sends the prompt to AtlasCloud (Seedance 2.0) to generate a vertical video with the configured size, duration, and FPS. Waits and polls AtlasCloud for the prediction status until the video completes. Uses OpenAI to write a playful Instagram caption with 3–5 hashtags based on the video prompt. Publishes the generated video URL as an Instagram Reel through Blotato using the generated caption. Sends a Telegram message confirming the Reel is published and includes the final video URL. Setup Create a Telegram bot and add your Telegram credentials to both the trigger and the notification steps. Add an OpenAI API credential and select it for both prompt and caption generation. Create an AtlasCloud API key and configure an HTTP header auth credential (Authoriz
Transcribe WhatsApp voice notes and auto-reply with OpenAI Whisper and GPT-4o
Quick overview This workflow receives WhatsApp Cloud API webhook events, transcribes incoming voice notes with OpenAI Whisper, generates a reply with OpenAI GPT-4o, and sends the response back to the sender via the WhatsApp Graph API while also handling plain text messages. How it works Receives WhatsApp webhook requests for verification (GET) and incoming messages (POST) from the Meta WhatsApp Cloud API. Validates the webhook verify token and returns the hub challenge to complete Meta webhook verification. Parses the inbound webhook payload to extract the sender number, phone number ID, message type, and either text content or an audio media ID. For voice notes, calls the WhatsApp Graph API to resolve the media ID to a temporary download URL, downloads the audio file, and transcribes it to text with OpenAI Whisper. For text messages, uses the incoming text directly as the user prompt. Sends the message text to OpenAI GPT-4o with a system prompt to generate a concise reply in the same language. Posts the generated reply back to the user using the WhatsApp Graph API messages endpoint and returns an OK response to the webhook. Setup Create a Meta app with WhatsApp Cloud API enabled,
Generate AI selfie photos from Telegram with AtlasCloud and Blotato
Quick overview This workflow listens for a two-photo Telegram album, uploads both images to Blotato for public hosting, sends them with a caption prompt to AtlasCloud (Nano Banana 2 Lite) to generate an edited “AI selfie,” then posts the result to Instagram and Facebook and replies with the image on Telegram. How it works Triggers when a Telegram bot receives a message and buffers album uploads until it has two photos plus the caption text. Stores the caption as the edit prompt and sets generation options such as model, aspect ratio, output format, and poll interval. Downloads each photo from Telegram and uploads both to Blotato to obtain stable public image URLs. Sends the two hosted image URLs and the prompt to the AtlasCloud generateImage API using the Nano Banana 2 Lite edit model. Waits and polls the AtlasCloud prediction status until it is marked completed or succeeded. Extracts the generated image URL, publishes it to Instagram and Facebook via Blotato, and sends the generated photo back to the originating Telegram chat. Setup Create a Telegram bot and add your Telegram API credentials to the Telegram Trigger and Telegram nodes. Add an AtlasCloud API key as an HTTP Header Au
Summarize Slack threads into Jira tickets with OpenRouter and Slack approval
Quick Overview This workflow turns a Slack slash-command request into an AI-drafted Jira ticket preview, then creates the Jira issue only after a user approves it in Slack using interactive buttons. How it works Receives a Slack slash command via a webhook and immediately responds with an ephemeral acknowledgement message. Reads configuration values (message count, Jira project key/type, and Slack context) and fetches recent messages from the Slack channel using the Slack conversations.history API. Cleans and formats the Slack messages into a chronological transcript, returning an error payload if no usable messages are found. Sends the transcript to an OpenRouter chat model (via an n8n AI agent) to generate a structured Jira ticket draft JSON. Parses the draft JSON and posts an ephemeral Slack preview containing the proposed title, type, priority, description, acceptance criteria, and Approve/Cancel buttons. Receives the Slack button interaction via a second webhook, parses the interaction payload, and either creates a Jira issue or cancels the request. Updates the Slack preview message to confirm ticket creation or show a cancellation notice. Setup Create a Slack app and configur