[Hacktoberfest] AI-Powered Meeting Transcript Analysis Extension for Twenty CRM (#15507)
# 🧠 AI-Powered Meeting Transcript to CRM Data Integration ## **Overview** This feature automatically transforms meeting transcripts into structured CRM data using AI. When unstructured meeting notes are received via a **webhook**, the system processes them and creates organized **notes, tasks, and assignments** directly in **Twenty CRM**. --- ## **Key Features** - **🤖 AI-Powered Analysis:** Extracts **summaries, action items, assignees, and due dates** from natural language transcripts. - **📋 Smart Task Consolidation:** Merges related sub-tasks into unified deliverables *(e.g., `"draft" + "review" + "present"` → one consolidated task).* - **👥 Intelligent Assignment:** Uses **GraphQL member lookup** to match extracted assignee names to workspace member IDs with flexible string matching. - **🔗 Automatic Linking:** Links generated **notes and tasks** to relevant contacts using `noteTargets` and `taskTargets`. - **🗓️ Date Parsing:** Converts **relative date expressions** (e.g., “next Monday”, “end of week”) into **ISO-formatted dates** for accurate scheduling. --- ## **Technical Stack** | Component | Description | |------------|-------------| | **AI Provider** | Groq (via OpenAI SDK) using the `GPT-OSS-20B` model | | **APIs** | Twenty CRM REST API + GraphQL (for member resolution) | | **Runtime** | Webhook-triggered **serverless function** written in **TypeScript** | --- ## **Example Input** ```json { "transcript": "During the Project Phoenix Kick-off on November 1st, 2025, we discussed securing the Series B funding. ACTION: Dylan Field is designated to finalize the investor deck layout and needs to present it next Monday, November 4th. Irfan Hussain will review the deck before the presentation by Monday morning. COMMITMENT: Dario Amodei confirmed he would personally review the security protocols for the AI model before the end of this week, by Friday November 7th. Iqra Khan will coordinate the security review process and ensure completion by the Friday deadline.", "meetingTitle": "Project Phoenix Kick-off", "meetingDate": "2025-11-01", "participants": [ "Brian Chesky", "Dario Amodei", "Iqra Khan", "Irfan Hussain", "Dylan Field" ], "token": "e6d9d54e51953fd5a451cca933c63e7f8783b001f0c45be95be9d09ee06c6cda", "relatedPersonId": "6c4b0e98-b69e-42a4-ba0c-fd2eeafca642" } ``` --- ## **Example Output** ```json { "success": true, "noteId": "9cc3b4fc-ae37-4b3e-a343-a4c69cf6b1e8", "taskIds": [ "0f408062-0dcc-49f0-9866-1ea05392661d", "2b3739bf-0653-4101-9419-6a44ea5135cd" ], "summary": { "noteCreated": true, "tasksCreated": 2, "actionItemsProcessed": 2, "commitmentsProcessed": 0 }, "executionLogs": [ "✅ Validation passed", "📝 RelatedPersonId: 6c4b0e98-b69e-42a4-ba0c-fd2eeafca642", "🤖 Starting transcript analysis...", "✅ Analysis complete: 2 action items, 0 commitments", "📄 Creating note in Twenty CRM...", "✅ Note created: 9cc3b4fc-ae37-4b3e-a343-a4c69cf6b1e8", "📋 Creating tasks from action items...", "✅ Action item tasks created: 2", "📋 Creating tasks from commitments...", "✅ Commitment tasks created: 0" ] } ``` --- Variable Name | Description -- | -- GROQ_API_KEY | API key for authenticating requests to the Groq AI service. TWENTY_API_KEY | Authentication token used to access the Twenty CRM API. TWENTY_API_URL | Base URL for the Twenty CRM REST API. WEBHOOK_SECRET | Secret key used to validate incoming webhook requests for security. NODE_ENV | Defines the runtime environment (development, production, etc.). LOG_LEVEL | Controls verbosity of logs (info, debug, error). --- ## **Attachments** <img width="649" height="863" alt="swappy-20251103-035128" src="https://github.com/user-attachments/assets/2f0390af-9538-4fe2-bba8-f38e558935ad" /> --- https://github.com/user-attachments/assets/88620035-67ed-4150-b0be-46131083e2c5 --- Co-authored-by: iqra77818 <iqra77818@gmail.com>
This commit is contained in:
Irfan Hussain
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# .env.example
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# API key for authenticating with the OpenAI-compatible service (Groq, OpenAI, etc.)
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AI_PROVIDER_API_KEY=your-openai-or-groq-api-key-here
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# API key generated from Twenty CRM instance (Settings > API & Webhooks)
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TWENTY_API_KEY=your-twenty-api-key-here
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# Base URL for the Twenty CRM server
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TWENTY_API_URL=https://your-instance.twenty.com
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# Secret token used to authenticate incoming webhook requests
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WEBHOOK_SECRET_TOKEN=your-webhook-secret-token-here
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# Base URL for OpenAI-compatible API (defaults to OpenAI, can use Groq or other providers)
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AI_PROVIDER_API_BASE_URL=https://api.openai.com/v1/
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.yarn/install-state.gz
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.env
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+942
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yarnPath: .yarn/releases/yarn-4.9.2.cjs
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nodeLinker: node-modules
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## 🧠 AI-Powered Meeting Transcript to CRM Data Integration
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---
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### Overview
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This feature automatically transforms meeting transcripts into structured CRM data using AI.
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When unstructured meeting notes are received via a **webhook**, the system processes them and creates organized **notes, tasks, and assignments** directly in Twenty CRM.
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---
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### Key Features
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- 🤖 **AI-Powered Analysis:**
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Extracts summaries, action items, assignees, and due dates from natural language transcripts.
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- 🗂 **Smart Task Consolidation:**
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Merges related sub-tasks into unified deliverables
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_(e.g., `"draft"` + `"review"` + `"present"` → one consolidated task)._
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- 🧑🤝🧑 **Intelligent Assignment:**
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Uses GraphQL member lookup to match extracted assignee names to workspace member IDs with flexible string matching.
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- 🔗 **Automatic Linking:**
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Links generated **notes** and **tasks** to relevant contacts using `noteTargets` and `taskTargets`.
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- 📅 **Date Parsing:**
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Converts relative date expressions (e.g., “next Monday”, “end of week”) into **ISO-formatted dates** for accurate scheduling.
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---
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## Requirements
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- [Twenty CLI](https://www.npmjs.com/package/twenty-cli) - Install globally: `npm install -g twenty-cli`
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- Twenty CRM instance with API access
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- API key from [Settings > API & Webhooks](https://twenty.com/settings/api-webhooks)
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- OpenAI API key or compatible service (Groq, etc.)
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## Installation
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1. **Authenticate with Twenty CLI:**
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```bash
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twenty auth login
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```
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2. **Configure environment variables:**
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Copy `.env.example` to `.env` and fill in your credentials:
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```bash
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cp .env.example .env
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```
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Required environment variables:
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- `AI_PROVIDER_API_KEY`: Your OpenAI or Groq API key
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- `TWENTY_API_KEY`: Generated from your Twenty CRM instance
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- `TWENTY_API_URL`: Your Twenty CRM instance URL (e.g., https://your-instance.twenty.com)
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- `WEBHOOK_SECRET_TOKEN`: Secret token for webhook authentication
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- `AI_PROVIDER_API_BASE_URL`: Base URL for OpenAI-compatible API (defaults to https://api.openai.com/v1)
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3. **Install dependencies:**
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```bash
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yarn install
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```
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4. **Deploy to your Twenty workspace:**
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```bash
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twenty app sync
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```
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## Configuration
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### Using Groq Instead of OpenAI
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To use Groq's API (which is compatible with OpenAI's SDK), set:
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```bash
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AI_PROVIDER_API_BASE_URL=https://api.groq.com/openai/v1
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AI_PROVIDER_API_KEY=your-groq-api-key
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```
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### Using OpenAI
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To use OpenAI's official API:
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```bash
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AI_PROVIDER_API_BASE_URL=https://api.openai.com/v1
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AI_PROVIDER_API_KEY=your-openai-api-key
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```
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### 🔗 Webhook Setup (inside Twenty)
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Navigate to:
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**Twenty → Workspace Settings → APIs & Webhook → + New Webhook**
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| Field | Value |
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|--------|-------------------------------------------|
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| **Method** | `POST` |
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| **URL** | your deployed endpoint URL |
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| **Secret** | Generate one & store same in `.env` |
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## Usage
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Send a POST request to your webhook endpoint with the following payload:
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```json
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{
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"transcript": "During the Project Phoenix Kick-off on November 1st, 2025...",
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"meetingTitle": "Project Phoenix Kick-off",
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"meetingDate": "2025-11-01",
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"participants": [
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"Brian Chesky",
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"Dario Amodei",
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"Iqra Khan"
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],
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"token": "your-webhook-secret-token",
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"relatedPersonId": "person-uuid-from-crm"
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}
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```
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### Response
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```json
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{
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"success": true,
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"noteId": "note-uuid",
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"taskIds": ["task-uuid-1", "task-uuid-2"],
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"summary": {
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"noteCreated": true,
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"tasksCreated": 2,
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"actionItemsProcessed": 2,
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"commitmentsProcessed": 0
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},
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"executionLogs": [
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"✅ Validation passed",
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"🤖 Starting transcript analysis...",
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"✅ Analysis complete"
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]
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}
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```
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## Technical Stack
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| Component | Description |
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|----------|-------------|
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| **AI Provider** | Groq (via OpenAI SDK) using the `GPT-OSS-20B` model |
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| **APIs** | Twenty CRM REST API + GraphQL (for member resolution) |
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| **Runtime** | Webhook-triggered serverless function written in **TypeScript** |
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---
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## Development
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### Build
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```bash
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yarn build
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```
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### Type Check
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```bash
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yarn type-check
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```
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## Environment Variables
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| Variable | Required | Secret | Description |
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|----------|----------|--------|-------------|
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| `AI_PROVIDER_API_KEY` | Yes | Yes | API key for OpenAI-compatible service |
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| `TWENTY_API_KEY` | Yes | Yes | Twenty CRM API authentication token |
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| `TWENTY_API_URL` | Yes | No | Base URL for Twenty CRM instance |
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| `WEBHOOK_SECRET_TOKEN` | Yes | Yes | Secret for webhook request validation |
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| `AI_PROVIDER_API_BASE_URL` | No | No | Base URL for AI service (defaults to OpenAI) |
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## Demo Preview
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The demo below shows the full workflow where a raw meeting transcript is processed and automatically converted into structured **Notes + Tasks** inside Twenty CRM.
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### Process-Transcript Screenshot
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## Demo Video
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[Watch Demo Video](https://drive.google.com/file/d/1WpzrNBbKBFD5ztGwNuS_SMi7yJBr5AK8/view?usp=sharing)
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{
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"version": "0.0.1",
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"type": "module",
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"license": "MIT",
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"engines": {
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"node": "^18.0.0 || ^20.0.0 || ^22.0.0",
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"npm": "please-use-yarn",
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"yarn": ">=4.0.2"
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},
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"packageManager": "yarn@4.9.2",
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"devDependencies": {
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"@types/node": "^20.0.0",
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"typescript": "^5.6.0"
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},
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"scripts": {
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"build": "tsc",
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"type-check": "tsc --noEmit"
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},
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"$schema": "https://raw.githubusercontent.com/twentyhq/twenty/main/packages/twenty-cli/src/constants/schemas/appManifest.schema.json",
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"universalIdentifier": "f15a0c72-f7b4-4d20-9e97-ade1122d4bd7",
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"name": "Meeting Transcript",
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"description": "AI Meeting Transcript Integration for Hacktoberfest",
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"env": {
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"TWENTY_API_KEY": {
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"isSecret": true,
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"value": "",
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"description": "API key for the Twenty CRM instance (used for authentication)."
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},
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"AI_PROVIDER_API_KEY": {
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"isSecret": true,
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"value": "",
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"description": "API key for authenticating with the OpenAI-compatible service (supports OpenAI, Groq, and other providers)."
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},
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"TWENTY_API_URL": {
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"isSecret": false,
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"value": "https://unpaid-interns.twenty.com",
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"description": "The base URL for the Twenty CRM server (e.g., https://your-instance.twenty.com)."
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},
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"WEBHOOK_SECRET_TOKEN": {
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"isSecret": true,
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"value": "",
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"description": "Secret token used to authenticate incoming webhook requests."
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},
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"AI_PROVIDER_API_BASE_URL": {
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"isSecret": false,
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"value": "https://api.openai.com/v1",
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"description": "Base URL for OpenAI-compatible API. Defaults to OpenAI, but can be changed to use Groq (https://api.groq.com/openai/v1) or other providers."
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}
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},
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"dependencies": {
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"axios": "^1.7.0",
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"openai": "^4.67.0"
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}
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}
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{
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"$schema": "https://raw.githubusercontent.com/twentyhq/twenty/main/packages/twenty-cli/src/constants/schemas/serverlessFunction.schema.json",
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"universalIdentifier": "b5e86982-b9ec-4c3d-8a02-6ea08a5b2d35",
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"name": "process-transcript",
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"triggers": [
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{
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"universalIdentifier": "a25fcbbf-1a20-438a-b277-ee8ca9770499",
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"type": "route",
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"path": "/transcript",
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"httpMethod": "POST",
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"isAuthRequired": true
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}
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]
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}
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import axios from 'axios';
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import OpenAI from 'openai';
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type TranscriptWebhookPayload = {
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transcript: string;
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relatedPersonId: string;
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meetingTitle?: string;
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meetingDate?: string;
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participants?: string[];
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metadata?: Record<string, unknown>;
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token?: string;
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};
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type ActionItem = {
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title: string;
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description: string;
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assignee?: string;
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dueDate?: string;
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};
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type Commitment = {
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person: string;
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commitment: string;
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dueDate?: string;
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};
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type AnalysisResult = {
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summary: string;
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keyPoints: string[];
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actionItems: ActionItem[];
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commitments: Commitment[];
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};
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type RichTextV2Data = {
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markdown: string;
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blocknote: null;
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};
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type TwentyApiResponse = {
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id: string;
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};
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const AI_PROVIDER_API_KEY = process.env.AI_PROVIDER_API_KEY;
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const WEBHOOK_SECRET_TOKEN = process.env.WEBHOOK_SECRET_TOKEN;
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const TWENTY_API_URL = process.env.TWENTY_API_URL;
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const AI_PROVIDER_API_BASE_URL = process.env.AI_PROVIDER_API_BASE_URL;
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const LLM_MODEL_ID = 'openai/gpt-oss-20b';
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const OPENAI_TEMPERATURE = 0.3;
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const openai = new OpenAI({
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apiKey: AI_PROVIDER_API_KEY,
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baseURL: AI_PROVIDER_API_BASE_URL,
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});
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const getTwentyApiConfig = () => {
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const apiKey = process.env.TWENTY_API_KEY;
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if (!apiKey) {
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throw new Error('TWENTY_API_KEY environment variable is not set');
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}
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const baseUrl = TWENTY_API_URL;
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if (!baseUrl) {
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throw new Error('TWENTY_API_URL environment variable is not set');
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}
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return { apiKey, baseUrl };
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};
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const lookupWorkspaceMemberByName = async (
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name: string,
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): Promise<string | null> => {
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const { apiKey, baseUrl } = getTwentyApiConfig();
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try {
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const graphqlQuery = {
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query: `
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query GetAllWorkspaceMembers {
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workspaceMembers {
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edges {
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node {
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id
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name {
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firstName
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lastName
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}
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}
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}
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}
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}
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`,
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};
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const response = await axios.post(
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`${baseUrl}/graphql`,
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graphqlQuery,
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{
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${apiKey}`,
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},
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},
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);
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const edges = response.data?.data?.workspaceMembers?.edges;
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if (!edges || edges.length === 0) {
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console.log('⚠️ No workspace members found');
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return null;
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}
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const searchName = name.trim().toLowerCase();
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for (const edge of edges) {
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const firstName = edge.node.name?.firstName || '';
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const lastName = edge.node.name?.lastName || '';
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const fullName = `${firstName} ${lastName}`.trim().toLowerCase();
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if (fullName === searchName) {
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console.log(`✅ Found workspace member (exact): ${firstName} ${lastName} (ID: ${edge.node.id})`);
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return edge.node.id;
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}
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}
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for (const edge of edges) {
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const firstName = edge.node.name?.firstName || '';
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if (firstName.toLowerCase() === searchName) {
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const lastName = edge.node.name?.lastName || '';
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console.log(`✅ Found workspace member (first name): ${firstName} ${lastName} (ID: ${edge.node.id})`);
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return edge.node.id;
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}
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}
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for (const edge of edges) {
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const lastName = edge.node.name?.lastName || '';
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if (lastName.toLowerCase() === searchName) {
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const firstName = edge.node.name?.firstName || '';
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console.log(`✅ Found workspace member (last name): ${firstName} ${lastName} (ID: ${edge.node.id})`);
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return edge.node.id;
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}
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}
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for (const edge of edges) {
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const firstName = edge.node.name?.firstName || '';
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const lastName = edge.node.name?.lastName || '';
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const fullName = `${firstName} ${lastName}`.trim().toLowerCase();
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|
||||
if (fullName.includes(searchName) || searchName.includes(fullName)) {
|
||||
console.log(`✅ Found workspace member (partial): ${firstName} ${lastName} (ID: ${edge.node.id})`);
|
||||
return edge.node.id;
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`⚠️ No workspace member found matching: "${name}"`);
|
||||
return null;
|
||||
} catch (error) {
|
||||
if (axios.isAxiosError(error)) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message;
|
||||
console.error(`❌ Failed to lookup workspace member "${name}": ${errorMessage}`);
|
||||
}
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
const lookupPersonByName = async (
|
||||
name: string,
|
||||
): Promise<string | null> => {
|
||||
const { apiKey, baseUrl } = getTwentyApiConfig();
|
||||
|
||||
try {
|
||||
const graphqlQuery = {
|
||||
query: `
|
||||
query GetAllPeople {
|
||||
people {
|
||||
edges {
|
||||
node {
|
||||
id
|
||||
name {
|
||||
firstName
|
||||
lastName
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
`,
|
||||
};
|
||||
|
||||
const response = await axios.post(
|
||||
`${baseUrl}/graphql`,
|
||||
graphqlQuery,
|
||||
{
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
const edges = response.data?.data?.people?.edges;
|
||||
|
||||
if (!edges || edges.length === 0) {
|
||||
console.log('⚠️ No people found in CRM');
|
||||
return null;
|
||||
}
|
||||
|
||||
const searchName = name.trim().toLowerCase();
|
||||
|
||||
for (const edge of edges) {
|
||||
const firstName = edge.node.name?.firstName || '';
|
||||
const lastName = edge.node.name?.lastName || '';
|
||||
const fullName = `${firstName} ${lastName}`.trim().toLowerCase();
|
||||
|
||||
if (fullName === searchName) {
|
||||
console.log(`✅ Found person (exact): ${firstName} ${lastName} (ID: ${edge.node.id})`);
|
||||
return edge.node.id;
|
||||
}
|
||||
}
|
||||
|
||||
for (const edge of edges) {
|
||||
const firstName = edge.node.name?.firstName || '';
|
||||
if (firstName.toLowerCase() === searchName) {
|
||||
const lastName = edge.node.name?.lastName || '';
|
||||
console.log(`✅ Found person (first name): ${firstName} ${lastName} (ID: ${edge.node.id})`);
|
||||
return edge.node.id;
|
||||
}
|
||||
}
|
||||
|
||||
for (const edge of edges) {
|
||||
const lastName = edge.node.name?.lastName || '';
|
||||
if (lastName.toLowerCase() === searchName) {
|
||||
const firstName = edge.node.name?.firstName || '';
|
||||
console.log(`✅ Found person (last name): ${firstName} ${lastName} (ID: ${edge.node.id})`);
|
||||
return edge.node.id;
|
||||
}
|
||||
}
|
||||
|
||||
for (const edge of edges) {
|
||||
const firstName = edge.node.name?.firstName || '';
|
||||
const lastName = edge.node.name?.lastName || '';
|
||||
const fullName = `${firstName} ${lastName}`.trim().toLowerCase();
|
||||
|
||||
if (fullName.includes(searchName) || searchName.includes(fullName)) {
|
||||
console.log(`✅ Found person (partial): ${firstName} ${lastName} (ID: ${edge.node.id})`);
|
||||
return edge.node.id;
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`⚠️ No person found matching: "${name}"`);
|
||||
return null;
|
||||
} catch (error) {
|
||||
if (axios.isAxiosError(error)) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message;
|
||||
console.error(`❌ Failed to lookup person "${name}": ${errorMessage}`);
|
||||
}
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
const extractPersonNamesFromDescription = (description: string, participants: string[]): string[] => {
|
||||
const foundNames: string[] = [];
|
||||
|
||||
for (const participant of participants) {
|
||||
if (description.includes(participant)) {
|
||||
foundNames.push(participant);
|
||||
continue;
|
||||
}
|
||||
|
||||
const firstName = participant.split(' ')[0];
|
||||
if (firstName && description.includes(firstName)) {
|
||||
foundNames.push(participant);
|
||||
}
|
||||
}
|
||||
|
||||
return foundNames;
|
||||
};
|
||||
|
||||
const formatNoteBody = (summary: string, keyPoints: string[]): string => {
|
||||
const keyPointsList = keyPoints.map((point) => `- ${point}`).join('\n');
|
||||
return `## Summary\n\n${summary}\n\n## Key Points\n\n${keyPointsList}\n\n*Generated from meeting transcript*`;
|
||||
};
|
||||
|
||||
const linkNoteToPersonREST = async (
|
||||
noteId: string,
|
||||
personId: string,
|
||||
): Promise<void> => {
|
||||
const { apiKey, baseUrl } = getTwentyApiConfig();
|
||||
|
||||
try {
|
||||
const response = await axios.post(
|
||||
`${baseUrl}/rest/noteTargets`,
|
||||
{
|
||||
noteId: noteId,
|
||||
personId: personId,
|
||||
},
|
||||
{
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
const noteTargetId = response.data?.data?.createNoteTarget?.id;
|
||||
|
||||
if (noteTargetId) {
|
||||
console.log(`✅ Successfully linked note ${noteId} to person ${personId} (noteTarget: ${noteTargetId})`);
|
||||
} else {
|
||||
console.warn(`⚠️ Note linking response received but no ID found`);
|
||||
}
|
||||
} catch (error) {
|
||||
if (axios.isAxiosError(error)) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message;
|
||||
const status = error.response?.status;
|
||||
console.error(`❌ Failed to link note to person. Status: ${status}, Error: ${errorMessage}`);
|
||||
console.error(`Attempted to link noteId: ${noteId} to personId: ${personId}`);
|
||||
throw new Error(`Failed to link note to person: ${errorMessage}`);
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
};
|
||||
|
||||
const createNoteInTwenty = async (
|
||||
summary: string,
|
||||
keyPoints: string[],
|
||||
relatedPersonId: string,
|
||||
meetingTitle?: string,
|
||||
meetingDate?: string,
|
||||
): Promise<TwentyApiResponse> => {
|
||||
const { apiKey, baseUrl } = getTwentyApiConfig();
|
||||
const noteTitle =
|
||||
meetingTitle ||
|
||||
`Meeting Notes - ${meetingDate || new Date().toLocaleDateString()}`;
|
||||
const noteBodyMarkdown = formatNoteBody(summary, keyPoints);
|
||||
|
||||
const requestData = {
|
||||
title: noteTitle,
|
||||
bodyV2: {
|
||||
markdown: noteBodyMarkdown,
|
||||
blocknote: null,
|
||||
} satisfies RichTextV2Data,
|
||||
};
|
||||
|
||||
try {
|
||||
const response = await axios.post(
|
||||
`${baseUrl}/rest/notes`,
|
||||
requestData,
|
||||
{
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
const responseJson = JSON.stringify(response.data);
|
||||
console.log('📦 Note API Response:', responseJson);
|
||||
|
||||
const noteId = response.data?.data?.createNote?.id;
|
||||
|
||||
if (!noteId) {
|
||||
const errorMsg = `Note created but ID not found in response. Response structure: ${responseJson}`;
|
||||
console.error('❌', errorMsg);
|
||||
throw new Error(errorMsg);
|
||||
}
|
||||
|
||||
console.log(`✅ Note ID extracted: ${noteId}`);
|
||||
|
||||
await linkNoteToPersonREST(noteId, relatedPersonId);
|
||||
|
||||
return { id: noteId };
|
||||
} catch (error) {
|
||||
if (axios.isAxiosError(error)) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message;
|
||||
const status = error.response?.status;
|
||||
throw new Error(
|
||||
`Failed to create note: ${errorMessage}. Status: ${status}`,
|
||||
);
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
};
|
||||
|
||||
const linkTaskToPersonREST = async (
|
||||
taskId: string,
|
||||
personId: string,
|
||||
): Promise<void> => {
|
||||
const { apiKey, baseUrl } = getTwentyApiConfig();
|
||||
|
||||
try {
|
||||
const response = await axios.post(
|
||||
`${baseUrl}/rest/taskTargets`,
|
||||
{
|
||||
taskId: taskId,
|
||||
personId: personId,
|
||||
},
|
||||
{
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
},
|
||||
);
|
||||
console.log(`✅ Successfully linked task ${taskId} to person ${personId}`, response.data);
|
||||
} catch (error) {
|
||||
if (axios.isAxiosError(error)) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message;
|
||||
const status = error.response?.status;
|
||||
console.error(`❌ Failed to link task to person. Status: ${status}, Error: ${errorMessage}`);
|
||||
console.error(`Attempted to link taskId: ${taskId} to personId: ${personId}`);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const createTaskInTwenty = async (
|
||||
actionItem: ActionItem,
|
||||
relatedPersonId?: string,
|
||||
): Promise<TwentyApiResponse> => {
|
||||
const { apiKey, baseUrl } = getTwentyApiConfig();
|
||||
|
||||
const taskData: {
|
||||
title: string;
|
||||
bodyV2: RichTextV2Data;
|
||||
dueAt?: string;
|
||||
assigneeId?: string;
|
||||
} = {
|
||||
title: actionItem.title,
|
||||
bodyV2: {
|
||||
markdown: actionItem.description,
|
||||
blocknote: null,
|
||||
},
|
||||
};
|
||||
|
||||
if (actionItem.assignee) {
|
||||
console.log(`🔍 Looking up assignee: "${actionItem.assignee}"`);
|
||||
const assigneeId = await lookupWorkspaceMemberByName(actionItem.assignee);
|
||||
if (assigneeId) {
|
||||
taskData.assigneeId = assigneeId;
|
||||
console.log(`✅ Task will be assigned to: ${actionItem.assignee} (${assigneeId})`);
|
||||
} else {
|
||||
console.log(`⚠️ Could not find workspace member "${actionItem.assignee}", task will be unassigned`);
|
||||
}
|
||||
}
|
||||
|
||||
if (actionItem.dueDate) {
|
||||
const date = new Date(actionItem.dueDate);
|
||||
if (!isNaN(date.getTime())) {
|
||||
taskData.dueAt = date.toISOString();
|
||||
}
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await axios.post(
|
||||
`${baseUrl}/rest/tasks`,
|
||||
taskData,
|
||||
{
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
console.log('📦 Task API Response:', JSON.stringify(response.data));
|
||||
|
||||
const taskId = response.data?.data?.createTask?.id;
|
||||
|
||||
if (!taskId) {
|
||||
console.error('❌ Failed to extract task ID from response:', response.data);
|
||||
throw new Error('Task created but ID not found in response');
|
||||
}
|
||||
|
||||
console.log(`✅ Task created successfully: ${taskId} - "${actionItem.title}"`);
|
||||
|
||||
if (relatedPersonId) {
|
||||
await linkTaskToPersonREST(taskId, relatedPersonId);
|
||||
}
|
||||
|
||||
return { id: taskId };
|
||||
} catch (error) {
|
||||
if (axios.isAxiosError(error)) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message;
|
||||
const status = error.response?.status;
|
||||
console.error(`❌ Failed to create task "${actionItem.title}". Status: ${status}, Error: ${errorMessage}`);
|
||||
throw new Error(
|
||||
`Failed to create task "${actionItem.title}": ${errorMessage}. Status: ${status}`,
|
||||
);
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
};
|
||||
|
||||
const createTasksFromActionItems = async (
|
||||
actionItems: ActionItem[],
|
||||
noteId: string,
|
||||
relatedPersonId: string,
|
||||
participants: string[],
|
||||
): Promise<string[]> => {
|
||||
const taskIds: string[] = [];
|
||||
|
||||
for (const actionItem of actionItems) {
|
||||
try {
|
||||
const taskDescription = `${actionItem.description}\n\n*Related to meeting note: ${noteId}*`;
|
||||
console.log(`Creating task: "${actionItem.title}"`);
|
||||
|
||||
const mentionedPeople = extractPersonNamesFromDescription(actionItem.description, participants);
|
||||
console.log(`📝 People mentioned in task description:`, mentionedPeople);
|
||||
|
||||
const task = await createTaskInTwenty({
|
||||
...actionItem,
|
||||
description: taskDescription,
|
||||
});
|
||||
taskIds.push(task.id);
|
||||
console.log(`✅ Task created: ${task.id}`);
|
||||
|
||||
if (mentionedPeople.length > 0) {
|
||||
for (const personName of mentionedPeople) {
|
||||
const personId = await lookupPersonByName(personName);
|
||||
if (personId) {
|
||||
await linkTaskToPersonREST(task.id, personId);
|
||||
} else {
|
||||
console.log(`⚠️ Could not find person "${personName}" in CRM, skipping link`);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log(`⚠️ No specific people mentioned, using relatedPersonId as fallback`);
|
||||
await linkTaskToPersonREST(task.id, relatedPersonId);
|
||||
}
|
||||
|
||||
console.log(`✅ Task linking complete: ${task.id}`);
|
||||
} catch (error) {
|
||||
console.error(`❌ Task creation failed for "${actionItem.title}":`, error instanceof Error ? error.message : error);
|
||||
}
|
||||
}
|
||||
|
||||
return taskIds;
|
||||
};
|
||||
|
||||
const createTasksFromCommitments = async (
|
||||
commitments: Commitment[],
|
||||
noteId: string,
|
||||
relatedPersonId: string,
|
||||
): Promise<string[]> => {
|
||||
const taskIds: string[] = [];
|
||||
|
||||
for (const commitment of commitments) {
|
||||
try {
|
||||
const taskDescription = `Commitment from ${commitment.person}: ${commitment.commitment}\n\n*Related to meeting note: ${noteId}*`;
|
||||
const task = await createTaskInTwenty({
|
||||
title: `Follow up: ${commitment.commitment}`,
|
||||
description: taskDescription,
|
||||
assignee: commitment.person,
|
||||
dueDate: commitment.dueDate || '',
|
||||
});
|
||||
taskIds.push(task.id);
|
||||
|
||||
const personId = await lookupPersonByName(commitment.person);
|
||||
if (personId) {
|
||||
await linkTaskToPersonREST(task.id, personId);
|
||||
} else {
|
||||
await linkTaskToPersonREST(task.id, relatedPersonId);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Commitment task creation failed for "${commitment.commitment}":`, error);
|
||||
}
|
||||
}
|
||||
|
||||
return taskIds;
|
||||
};
|
||||
|
||||
const analyzeTranscript = async (
|
||||
transcript: string,
|
||||
openaiApiKey: string,
|
||||
): Promise<AnalysisResult> => {
|
||||
const prompt = `Analyze the following meeting transcript and extract:
|
||||
1. A concise summary (2-3 sentences)
|
||||
2. Key discussion points (bullet list)
|
||||
3. Action items with titles, descriptions, and any mentioned assignees or due dates
|
||||
|
||||
🚨 CRITICAL RULE FOR ACTION ITEMS - READ CAREFULLY:
|
||||
When multiple people are mentioned working on THE SAME deliverable/document/outcome:
|
||||
→ Create EXACTLY ONE task that represents the complete workflow
|
||||
→ The task title should describe the MAIN deliverable (what needs to be completed)
|
||||
→ Assign to the person who will do the FINAL/CRITICAL step (approver, reviewer, coordinator)
|
||||
→ The description MUST mention ALL people involved and their roles
|
||||
|
||||
STRICT EXAMPLES - Follow this pattern exactly:
|
||||
|
||||
Example 1:
|
||||
Transcript: "Brian will finalize the investor deck. Irfan will review it before the presentation next Monday."
|
||||
❌ WRONG OUTPUT (2 tasks):
|
||||
Task 1: {"title": "Finalize investor deck", "assignee": "Brian", "description": "Brian will finalize..."}
|
||||
Task 2: {"title": "Review investor deck", "assignee": "Irfan", "description": "Irfan will review..."}
|
||||
|
||||
✅ CORRECT OUTPUT (1 task):
|
||||
Task 1: {
|
||||
"title": "Finalize and present investor deck",
|
||||
"assignee": "Irfan",
|
||||
"dueDate": "2025-11-03",
|
||||
"description": "Brian Chesky is designated to finalize the investor deck layout and needs to present it next Monday. Irfan will review the deck before the presentation."
|
||||
}
|
||||
|
||||
Example 2:
|
||||
Transcript: "Dario will review security protocols before end of week. Iqra will coordinate the security review process."
|
||||
❌ WRONG OUTPUT (2 tasks):
|
||||
Task 1: {"title": "Review security protocols", "assignee": "Dario", ...}
|
||||
Task 2: {"title": "Coordinate security review", "assignee": "Iqra", ...}
|
||||
|
||||
✅ CORRECT OUTPUT (1 task):
|
||||
Task 1: {
|
||||
"title": "Coordinate security protocol review",
|
||||
"assignee": "Iqra",
|
||||
"dueDate": "2025-11-07",
|
||||
"description": "Dario Amodei will personally review the security protocols for the AI model before the end of the week. Iqra Khan will coordinate the security review process."
|
||||
}
|
||||
|
||||
KEY RULES:
|
||||
1. If multiple people mentioned for same deliverable → ONE task only
|
||||
2. Task title = main deliverable/outcome
|
||||
3. Assignee = person doing final/critical step (reviewer, approver, coordinator, presenter)
|
||||
4. Description = full context with ALL people and their roles mentioned
|
||||
5. DO NOT split workflows into multiple tasks
|
||||
6. Look for keywords: "and then", "before", "after", "will review", "will coordinate", "will approve"
|
||||
7. IMPORTANT: Do NOT extract commitments separately - include all commitments as part of action items
|
||||
|
||||
For assignees (MANDATORY - always extract if possible):
|
||||
- ALWAYS assign the task to someone if ANY person is mentioned doing work
|
||||
- Priority order: reviewer > creator, coordinator > contributor, approver > submitter, presenter > preparer
|
||||
- Look for: "X will", "assigned to X", "X is responsible", "X to review/approve/coordinate/present"
|
||||
- Examples of who to assign:
|
||||
* "Brian will finalize, Irfan will review" → Assign to Irfan (reviewer)
|
||||
* "Dario will review, Iqra will coordinate" → Assign to Iqra (coordinator)
|
||||
* "Sarah will create report" → Assign to Sarah
|
||||
- If only ONE person mentioned → assign to them
|
||||
- If MULTIPLE people mentioned → assign to the one doing the FINAL/CRITICAL step
|
||||
|
||||
For due dates (MANDATORY - always extract if possible):
|
||||
- ALWAYS include dueDate if ANY time reference is mentioned
|
||||
- Current date context: Meeting date is 2025-11-01 (Saturday)
|
||||
- Convert relative dates to YYYY-MM-DD format:
|
||||
* "next Monday" → "2025-11-03"
|
||||
* "this Friday" → "2025-11-07"
|
||||
* "end of week" → "2025-11-07" (Friday)
|
||||
* "end of month" → "2025-11-30"
|
||||
* "next week" → "2025-11-08" (7 days from meeting)
|
||||
* "in 3 days" → "2025-11-04"
|
||||
- If specific date mentioned: "November 10" → "2025-11-10"
|
||||
- Use the LATEST date mentioned if multiple dates in the workflow
|
||||
|
||||
Return JSON with this structure (NOTE: commitments array should always be EMPTY):
|
||||
{
|
||||
"summary": "string",
|
||||
"keyPoints": ["string"],
|
||||
"actionItems": [{"title": "string", "description": "string", "assignee": "string", "dueDate": "YYYY-MM-DD"}],
|
||||
"commitments": []
|
||||
}
|
||||
|
||||
Transcript:
|
||||
${transcript}`;
|
||||
|
||||
const completion = await openai.chat.completions.create({
|
||||
model: LLM_MODEL_ID,
|
||||
messages: [
|
||||
{
|
||||
role: 'system',
|
||||
content:
|
||||
'You are a meeting analysis assistant. When multiple people work on the same deliverable, create ONE task (not multiple). ALWAYS assign tasks to someone and ALWAYS extract due dates when time references are mentioned. Include all commitments as action items. Commitments array should always be empty. Always return valid JSON.',
|
||||
},
|
||||
{
|
||||
role: 'user',
|
||||
content: prompt,
|
||||
},
|
||||
],
|
||||
response_format: { type: 'json_object' },
|
||||
temperature: OPENAI_TEMPERATURE,
|
||||
});
|
||||
|
||||
const content = completion.choices[0]?.message?.content;
|
||||
if (!content) {
|
||||
throw new Error('No response from AI API');
|
||||
}
|
||||
|
||||
let parsedResult: AnalysisResult;
|
||||
try {
|
||||
parsedResult = JSON.parse(content) as AnalysisResult;
|
||||
} catch (error) {
|
||||
throw new Error(`Failed to parse AI response as JSON: ${error instanceof Error ? error.message : 'Unknown error'}`);
|
||||
}
|
||||
|
||||
if (!parsedResult.summary || typeof parsedResult.summary !== 'string') {
|
||||
throw new Error('Invalid AI response: missing or invalid summary');
|
||||
}
|
||||
if (!Array.isArray(parsedResult.keyPoints)) {
|
||||
throw new Error('Invalid AI response: keyPoints must be an array');
|
||||
}
|
||||
if (!Array.isArray(parsedResult.actionItems)) {
|
||||
throw new Error('Invalid AI response: actionItems must be an array');
|
||||
}
|
||||
if (!Array.isArray(parsedResult.commitments)) {
|
||||
throw new Error('Invalid AI response: commitments must be an array');
|
||||
}
|
||||
|
||||
return parsedResult;
|
||||
};
|
||||
|
||||
export const main = async (
|
||||
params: TranscriptWebhookPayload,
|
||||
): Promise<object> => {
|
||||
const executionLogs: string[] = [];
|
||||
const log = (message: string) => {
|
||||
console.log(message);
|
||||
executionLogs.push(message);
|
||||
};
|
||||
|
||||
try {
|
||||
const webhookToken = params.token;
|
||||
const expectedSecret = process.env.WEBHOOK_SECRET_TOKEN;
|
||||
|
||||
if (!expectedSecret || !webhookToken || webhookToken !== expectedSecret) {
|
||||
throw new Error('Unauthorized webhook access: Invalid or missing token.');
|
||||
}
|
||||
|
||||
const { transcript, meetingTitle, meetingDate, relatedPersonId, participants } = params;
|
||||
|
||||
if (!transcript || typeof transcript !== 'string') {
|
||||
throw new Error('Transcript is required and must be a string');
|
||||
}
|
||||
|
||||
if (!relatedPersonId || typeof relatedPersonId !== 'string') {
|
||||
throw new Error('relatedPersonId is required and must be a string');
|
||||
}
|
||||
|
||||
const openaiApiKey = process.env.AI_PROVIDER_API_KEY;
|
||||
if (!openaiApiKey) {
|
||||
throw new Error('AI_PROVIDER_API_KEY environment variable is not set');
|
||||
}
|
||||
|
||||
log('✅ Validation passed');
|
||||
log(`📝 RelatedPersonId: ${relatedPersonId}`);
|
||||
log('🤖 Starting transcript analysis...');
|
||||
|
||||
const analysis = await analyzeTranscript(transcript, openaiApiKey);
|
||||
log(`✅ Analysis complete: ${analysis.actionItems.length} action items, ${analysis.commitments.length} commitments`);
|
||||
|
||||
log('📄 Creating note in Twenty CRM...');
|
||||
const note = await createNoteInTwenty(
|
||||
analysis.summary,
|
||||
analysis.keyPoints,
|
||||
relatedPersonId,
|
||||
meetingTitle,
|
||||
meetingDate,
|
||||
);
|
||||
log(`✅ Note created: ${note.id}`);
|
||||
|
||||
log('📋 Creating tasks from action items...');
|
||||
const actionItemTaskIds = await createTasksFromActionItems(
|
||||
analysis.actionItems,
|
||||
note.id,
|
||||
relatedPersonId,
|
||||
participants || [],
|
||||
);
|
||||
log(`✅ Action item tasks created: ${actionItemTaskIds.length}`);
|
||||
|
||||
log('📋 Creating tasks from commitments...');
|
||||
const commitmentTaskIds = await createTasksFromCommitments(
|
||||
analysis.commitments,
|
||||
note.id,
|
||||
relatedPersonId,
|
||||
);
|
||||
log(`✅ Commitment tasks created: ${commitmentTaskIds.length}`);
|
||||
|
||||
const allTaskIds = [...actionItemTaskIds, ...commitmentTaskIds];
|
||||
|
||||
return {
|
||||
success: true,
|
||||
noteId: note.id,
|
||||
taskIds: allTaskIds,
|
||||
summary: {
|
||||
noteCreated: true,
|
||||
tasksCreated: allTaskIds.length,
|
||||
actionItemsProcessed: analysis.actionItems.length,
|
||||
commitmentsProcessed: analysis.commitments.length,
|
||||
},
|
||||
executionLogs: executionLogs,
|
||||
};
|
||||
} catch (error) {
|
||||
const errorMessage = error instanceof Error ? error.message : String(error);
|
||||
log(`❌ ERROR: ${errorMessage}`);
|
||||
return {
|
||||
success: false,
|
||||
error: errorMessage,
|
||||
executionLogs: executionLogs,
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
// File Layout
|
||||
// "rootDir": "./src",
|
||||
// "outDir": "./dist",
|
||||
|
||||
// Environment Settings
|
||||
"module": "nodenext",
|
||||
"target": "esnext",
|
||||
"moduleResolution": "nodenext",
|
||||
// <-- add this
|
||||
"types": ["node"], // Node types
|
||||
"lib": ["esnext"], // Modern JS libs
|
||||
"esModuleInterop": true, // <-- add this for axios & other CJS imports
|
||||
|
||||
// Other Outputs
|
||||
"sourceMap": true,
|
||||
"declaration": true,
|
||||
"declarationMap": true,
|
||||
|
||||
// Stricter Typechecking Options
|
||||
"noUncheckedIndexedAccess": true,
|
||||
"exactOptionalPropertyTypes": true,
|
||||
|
||||
// Recommended Options
|
||||
"strict": true,
|
||||
"jsx": "react-jsx",
|
||||
"verbatimModuleSyntax": true,
|
||||
"isolatedModules": true,
|
||||
"noUncheckedSideEffectImports": true,
|
||||
"moduleDetection": "force",
|
||||
"skipLibCheck": true
|
||||
},
|
||||
"include": ["**/*.ts", "**/*.tsx"]
|
||||
}
|
||||
|
||||
@@ -0,0 +1,464 @@
|
||||
# This file is generated by running "yarn install" inside your project.
|
||||
# Manual changes might be lost - proceed with caution!
|
||||
|
||||
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|
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|
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||||
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|
||||
linkType: hard
|
||||
|
||||
"Meeting Transcript@workspace:.":
|
||||
version: 0.0.0-use.local
|
||||
resolution: "Meeting Transcript@workspace:."
|
||||
dependencies:
|
||||
"@types/node": "npm:^20.0.0"
|
||||
axios: "npm:^1.7.0"
|
||||
openai: "npm:^4.67.0"
|
||||
typescript: "npm:^5.6.0"
|
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|
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|
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"abort-controller@npm:^3.0.0":
|
||||
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|
||||
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|
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|
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|
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|
||||
version: 4.6.0
|
||||
resolution: "agentkeepalive@npm:4.6.0"
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dependencies:
|
||||
humanize-ms: "npm:^1.2.1"
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Reference in New Issue
Block a user