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8be3c88711
This PR adds a collection of pre-built store agents that can be loaded into test databases for development and testing purposes. ### Changes 🏗️ - Add 17 exported agent JSON files in `backend/agents/` directory - Add `StoreAgent_rows.csv` containing store listing metadata (titles, descriptions, categories, images) - Add `load_store_agents.py` script to load agents into the test database - Add `load-store-agents` Makefile target for easy execution **Included Agents:** - Flux AI Image Generator - YouTube Transcription Scraper - Decision Maker Lead Finder - Smart Meeting Prep - Automated Support Agent - Unspirational Poster Maker - AI Video Generator - Automated SEO Blog Writer - Lead Finder (Local Businesses) - LinkedIn Post Generator - YouTube to LinkedIn Post Converter - Personal Newsletter - Email Scout - Contact Finder Assistant - YouTube Video to SEO Blog Writer - AI Webpage Copy Improver - Domain Name Finder - AI Function ### Checklist 📋 #### For code changes: - [x] I have clearly listed my changes in the PR description - [x] I have made a test plan - [x] I have tested my changes according to the test plan: - [x] Run `make load-store-agents` and verify agents are loaded into the database - [x] Verify store listings appear correctly with metadata from CSV - [x] Confirm no sensitive information (API keys, secrets) is included in the exported agents #### For configuration changes: - [x] `.env.default` is updated or already compatible with my changes - [x] `docker-compose.yml` is updated or already compatible with my changes - [x] I have included a list of my configuration changes in the PR description (under **Changes**) No configuration changes required - this only adds test data and a loading script.
3559 lines
125 KiB
JSON
3559 lines
125 KiB
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"Report Design Brief": "\n\n## \u2733\ufe0f Design Brief \u2014 \u201cHuman-Crafted Simplicity\u201d\n\n### \ud83c\udfaf **Goal**\n\nCreate an HTML email that feels **designed by hand**, not generated by a template.\nThe visual tone should be **calm, confident, and editorial**, with natural rhythm and whitespace.\nThe layout should read easily on desktop and mobile, maintaining a **friendly, premium newsletter** vibe.\n\n---\n\n### \ud83e\uddf1 **Layout Structure**\n\n* **Width:** 600px fixed, centered (`align=\"center\"`)\n* **Padding:** 24\u201332px inner margin on all sides\n* **Grid:** Single-column layout (no sidebars or multiple columns)\n* **Flow:**\n\n 1. Header area (title or logo text)\n 2. Intro paragraph (optional)\n 3. Content sections stacked vertically\n 4. Optional footer / signature\n\nEach section should feel like a \u201cblock\u201d of thought \u2014 separated by whitespace, not borders.\n\n---\n\n### \ud83c\udfa8 **Color Palette**\n\n* **Background:** Off-white / warm neutral (`#fffaf2`, `#fffefc`, or `#fdfbf7`)\n* **Text:** Soft black (`#1a1a1a`)\n* **Secondary Text:** Muted gray (`#666`)\n* **Accent Color:** One strong, warm tone (e.g. amber `#f5b200` or coral `#ff6b4a`)\n* **Highlight Backgrounds:** Light tint of accent (`#fff4e0` or `#fff2e2`)\n* **Links:** Accent color or slightly darker version\n\nOverall, aim for **soft contrast** \u2014 no harsh blacks or bright whites.\n\n---\n\n### \ud83d\uddda **Typography**\n\n* **Font Family:** `Helvetica, Arial, sans-serif` (system fonts preferred for email)\n* **Base Size:** 16px\n* **Line Height:** 1.6\u20131.8\n* **Hierarchy:**\n\n * **Main Title:** 28\u201332px, bold, tight spacing, strong top margin\n * **Section Titles:** 20\u201322px, semibold, margin-bottom 12px\n * **Body Text:** 16px, normal weight\n * **Meta Text / Footnotes:** 14px, gray (#777)\n* **Letter Spacing:** Slight positive spacing (0.1\u20130.2px) for a polished feel\n\nAvoid underlines; instead, use color and weight for emphasis.\n\n---\n\n### \u26aa **Spacing and Rhythm**\n\n* **Vertical rhythm** is everything:\n\n * 48px between major sections\n * 24px between heading and paragraph\n * 8\u201312px between lines or inline elements\n* Avoid even repetition \u2014 vary spacing subtly between elements to feel more human.\n* Never use visible borders to divide; use padding and whitespace.\n\n---\n\n### \ud83e\udde9 **Visual Elements**\n\n* Use **colored spans** or **highlight backgrounds** to create visual variety:\n\n ```html\n <span style=\"background-color:#fff4e0;padding:2px 4px;border-radius:4px;\">highlight text</span>\n ```\n* Soft rounded corners on any background block (6\u20138px radius).\n* Occasional use of horizontal rules (`<hr>`) allowed only if light gray (`#eee`) and with generous vertical spacing.\n* Features images clearly grouped with their relevant text, small caption text below the image where available.\n\n---\n\n### \ud83e\udded **Sections**\n\nEach section should feel distinct through typography and whitespace, not hard dividers.\n\nExample section pattern:\n\n* Title \u2192 body \u2192 small callout or quote\n* Use **a single accent element** per section (highlighted text, tinted background block, or colored link).\n* No boxes around \u201cWhy it matters\u201d\u2013style callouts; instead, lightly tinted background or italicized text block.\n\n---\n\n### \ud83d\udcf1 **Responsiveness**\n\n* Ensure readability on mobile:\n\n * Maintain 16px font minimum\n * Auto-scale images and block widths\n * Increase line spacing slightly on mobile (`line-height: 1.8`)\n\n---\n\n### \ud83e\uddfe **Footer**\n\n* Simple and unintrusive.\n* Muted gray text, small font size (14px).\n* Optional subtle top border (`#eee`) or generous top margin (40\u201348px).\n\n---\n\n### \ud83d\udca1 **Design Keywords**\n\n> Warm \u2022 Minimal \u2022 Human \u2022 Editorial \u2022 Spacious \u2022 Typographically-driven \u2022 Confident \u2022 Soft"
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},
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"user_id": "b3e41ea4-2f4c-4964-927c-fe682d857bad",
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"graph_id": "b29bb8a9-d0ab-4858-adfa-af6baa7a81d9",
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|
"input_schema": {
|
|
"type": "object",
|
|
"required": [
|
|
"Report Text",
|
|
"Recipient Email",
|
|
"Email Subject"
|
|
],
|
|
"properties": {
|
|
"Report Text": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string",
|
|
"format": "long-text"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"title": "Report Text",
|
|
"secret": false,
|
|
"advanced": false
|
|
},
|
|
"Email Subject": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string",
|
|
"format": "short-text"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"title": "Email Subject",
|
|
"secret": false,
|
|
"advanced": false,
|
|
"description": "The subject line for the email. i.e. \"Your Report\""
|
|
},
|
|
"Recipient Email": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string",
|
|
"format": "short-text"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"title": "Recipient Email",
|
|
"secret": false,
|
|
"advanced": false,
|
|
"description": "The Email Address to send the report to. i.e. your@email.com"
|
|
},
|
|
"Report Design Brief": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string",
|
|
"format": "long-text"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"title": "Report Design Brief",
|
|
"secret": false,
|
|
"default": "default",
|
|
"advanced": true,
|
|
"description": "(optional) Briefly describe how you would like your report to look.\n\nFor example \"Style this like a Stripe documentation page\" or \"Make it look like a high-end medical journal\""
|
|
}
|
|
}
|
|
},
|
|
"graph_version": 6,
|
|
"output_schema": {
|
|
"type": "object",
|
|
"required": [
|
|
"Error",
|
|
"Raw HTML",
|
|
"Email Status"
|
|
],
|
|
"properties": {
|
|
"Error": {
|
|
"title": "Error",
|
|
"secret": false,
|
|
"advanced": false
|
|
},
|
|
"Raw HTML": {
|
|
"title": "Raw HTML",
|
|
"secret": false,
|
|
"advanced": false
|
|
},
|
|
"Email Status": {
|
|
"title": "Email Status",
|
|
"secret": false,
|
|
"advanced": false
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"metadata": {
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|
"position": {
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|
"x": 9278.160782058398,
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|
"y": 2084.7289729862423
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|
},
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|
"customized_name": "Send Pretty Email"
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|
},
|
|
"input_links": [
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|
{
|
|
"id": "8beb2cbe-4f77-431f-b376-33cfde908629",
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|
"source_id": "fe3b8cd6-2c09-4d8b-98d3-70e2df92de41",
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|
"sink_id": "1da0b365-a483-4677-ac3c-ea99270ad92e",
|
|
"source_name": "response",
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|
"sink_name": "Report Text",
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|
"is_static": false
|
|
},
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|
{
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|
"id": "ab679265-5b24-4a02-af4d-cf12619ec793",
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"source_id": "2b478887-fbf1-4128-8de8-26028cb7c8e3",
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|
"sink_id": "1da0b365-a483-4677-ac3c-ea99270ad92e",
|
|
"source_name": "result",
|
|
"sink_name": "Recipient Email",
|
|
"is_static": true
|
|
},
|
|
{
|
|
"id": "7b5b9a0d-df5f-4af1-9b8f-38441f299037",
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"source_id": "8380fb24-95dc-439e-bd42-3454cfffbba7",
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"sink_id": "1da0b365-a483-4677-ac3c-ea99270ad92e",
|
|
"source_name": "output",
|
|
"sink_name": "Email Subject",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": [],
|
|
"graph_id": "6cf51c3a-25dd-4189-bd50-5ee05a5f7794",
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"graph_version": 58,
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|
"webhook_id": null,
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"webhook": null
|
|
},
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{
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"id": "65e276b6-18c0-4176-84a0-011d1b20859c",
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"block_id": "286380af-9529-4b55-8be0-1d7c854abdb5",
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|
"input_default": {},
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|
"metadata": {
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|
"position": {
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"x": -737.8058814655014,
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"y": 32.186899799402624
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}
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},
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"input_links": [
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|
{
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|
"id": "ca49f19b-1a82-411e-b3ed-aaf0d8c8eec8",
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|
"source_id": "e4eecf3d-fbd0-4095-b844-38794e6b4e7b",
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|
"sink_id": "65e276b6-18c0-4176-84a0-011d1b20859c",
|
|
"source_name": "response",
|
|
"sink_name": "input_xml",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": [
|
|
{
|
|
"id": "97d2344e-91e5-4358-8b43-42d278a06996",
|
|
"source_id": "65e276b6-18c0-4176-84a0-011d1b20859c",
|
|
"sink_id": "a50c18bc-508e-4b89-aa59-e908a7b7db4e",
|
|
"source_name": "error",
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|
"sink_name": "value",
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|
"is_static": false
|
|
},
|
|
{
|
|
"id": "f56853c2-3ccc-467d-9eda-767ee4d7352f",
|
|
"source_id": "65e276b6-18c0-4176-84a0-011d1b20859c",
|
|
"sink_id": "b3cd6910-8252-4ff2-9983-335279774213",
|
|
"source_name": "parsed_xml",
|
|
"sink_name": "input",
|
|
"is_static": false
|
|
},
|
|
{
|
|
"id": "e221a5a2-1b51-4c23-8019-e9bee5dc4ea0",
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"source_id": "65e276b6-18c0-4176-84a0-011d1b20859c",
|
|
"sink_id": "8380fb24-95dc-439e-bd42-3454cfffbba7",
|
|
"source_name": "parsed_xml",
|
|
"sink_name": "input",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"graph_id": "6cf51c3a-25dd-4189-bd50-5ee05a5f7794",
|
|
"graph_version": 58,
|
|
"webhook_id": null,
|
|
"webhook": null
|
|
},
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{
|
|
"id": "b3cd6910-8252-4ff2-9983-335279774213",
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|
"block_id": "0e50422c-6dee-4145-83d6-3a5a392f65de",
|
|
"input_default": {
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|
"key": "body"
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|
},
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|
"metadata": {
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"position": {
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"x": -146.05704448321512,
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|
"y": 39.89591730848741
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|
}
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},
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|
"input_links": [
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|
{
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|
"id": "f56853c2-3ccc-467d-9eda-767ee4d7352f",
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|
"source_id": "65e276b6-18c0-4176-84a0-011d1b20859c",
|
|
"sink_id": "b3cd6910-8252-4ff2-9983-335279774213",
|
|
"source_name": "parsed_xml",
|
|
"sink_name": "input",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": [
|
|
{
|
|
"id": "635f3112-295b-436e-8b07-6f67ef7cf0e2",
|
|
"source_id": "b3cd6910-8252-4ff2-9983-335279774213",
|
|
"sink_id": "0a54faab-7d56-4826-8408-f1b00042fccd",
|
|
"source_name": "output",
|
|
"sink_name": "prompt_values_#_newsletter",
|
|
"is_static": false
|
|
},
|
|
{
|
|
"id": "b82e12d4-aef0-4675-a1f5-6ae375e41710",
|
|
"source_id": "b3cd6910-8252-4ff2-9983-335279774213",
|
|
"sink_id": "fe3b8cd6-2c09-4d8b-98d3-70e2df92de41",
|
|
"source_name": "output",
|
|
"sink_name": "prompt_values_#_newsletter",
|
|
"is_static": false
|
|
},
|
|
{
|
|
"id": "efb10adb-9a77-4430-bc51-9a8adaf80ef2",
|
|
"source_id": "b3cd6910-8252-4ff2-9983-335279774213",
|
|
"sink_id": "a50c18bc-508e-4b89-aa59-e908a7b7db4e",
|
|
"source_name": "missing",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"graph_id": "6cf51c3a-25dd-4189-bd50-5ee05a5f7794",
|
|
"graph_version": 58,
|
|
"webhook_id": null,
|
|
"webhook": null
|
|
},
|
|
{
|
|
"id": "8380fb24-95dc-439e-bd42-3454cfffbba7",
|
|
"block_id": "0e50422c-6dee-4145-83d6-3a5a392f65de",
|
|
"input_default": {
|
|
"key": "title"
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": -139.42904518013256,
|
|
"y": 2235.26145151658
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|
}
|
|
},
|
|
"input_links": [
|
|
{
|
|
"id": "e221a5a2-1b51-4c23-8019-e9bee5dc4ea0",
|
|
"source_id": "65e276b6-18c0-4176-84a0-011d1b20859c",
|
|
"sink_id": "8380fb24-95dc-439e-bd42-3454cfffbba7",
|
|
"source_name": "parsed_xml",
|
|
"sink_name": "input",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": [
|
|
{
|
|
"id": "7b5b9a0d-df5f-4af1-9b8f-38441f299037",
|
|
"source_id": "8380fb24-95dc-439e-bd42-3454cfffbba7",
|
|
"sink_id": "1da0b365-a483-4677-ac3c-ea99270ad92e",
|
|
"source_name": "output",
|
|
"sink_name": "Email Subject",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"graph_id": "6cf51c3a-25dd-4189-bd50-5ee05a5f7794",
|
|
"graph_version": 58,
|
|
"webhook_id": null,
|
|
"webhook": null
|
|
},
|
|
{
|
|
"id": "2b478887-fbf1-4128-8de8-26028cb7c8e3",
|
|
"block_id": "7fcd3bcb-8e1b-4e69-903d-32d3d4a92158",
|
|
"input_default": {
|
|
"name": "Your Email Address",
|
|
"secret": false,
|
|
"advanced": false,
|
|
"description": "Enter the email address at which you would like to receive the newsletter.",
|
|
"placeholder_values": []
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": -3498.8900990289535,
|
|
"y": 563.204100068285
|
|
}
|
|
},
|
|
"input_links": [],
|
|
"output_links": [
|
|
{
|
|
"id": "ab679265-5b24-4a02-af4d-cf12619ec793",
|
|
"source_id": "2b478887-fbf1-4128-8de8-26028cb7c8e3",
|
|
"sink_id": "1da0b365-a483-4677-ac3c-ea99270ad92e",
|
|
"source_name": "result",
|
|
"sink_name": "Recipient Email",
|
|
"is_static": true
|
|
}
|
|
],
|
|
"graph_id": "6cf51c3a-25dd-4189-bd50-5ee05a5f7794",
|
|
"graph_version": 58,
|
|
"webhook_id": null,
|
|
"webhook": null
|
|
},
|
|
{
|
|
"id": "6c6cff92-b759-41be-a5a1-cd3976e05b24",
|
|
"block_id": "7fcd3bcb-8e1b-4e69-903d-32d3d4a92158",
|
|
"input_default": {
|
|
"name": "What time range would you like each newsletter edition to cover?",
|
|
"secret": false,
|
|
"advanced": false,
|
|
"description": "For example, you could say one day to only receive news stories that happened in the past 24 hours before at the time of sending the newsletter, or you could say one week to receive news from that week",
|
|
"placeholder_values": []
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": -3504.8879543920716,
|
|
"y": 1362.1657779029272
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|
}
|
|
},
|
|
"input_links": [],
|
|
"output_links": [
|
|
{
|
|
"id": "628cb3f7-ec28-4d7e-a506-6dc14194452b",
|
|
"source_id": "6c6cff92-b759-41be-a5a1-cd3976e05b24",
|
|
"sink_id": "e4eecf3d-fbd0-4095-b844-38794e6b4e7b",
|
|
"source_name": "result",
|
|
"sink_name": "prompt_values_#_recency",
|
|
"is_static": true
|
|
},
|
|
{
|
|
"id": "a8915dbf-6caf-42f7-9cef-8401fcf291ff",
|
|
"source_id": "6c6cff92-b759-41be-a5a1-cd3976e05b24",
|
|
"sink_id": "68883c29-9a9e-4c97-99ee-945920bfeab7",
|
|
"source_name": "result",
|
|
"sink_name": "prompt_values_#_recency",
|
|
"is_static": true
|
|
}
|
|
],
|
|
"graph_id": "6cf51c3a-25dd-4189-bd50-5ee05a5f7794",
|
|
"graph_version": 58,
|
|
"webhook_id": null,
|
|
"webhook": null
|
|
},
|
|
{
|
|
"id": "0a54faab-7d56-4826-8408-f1b00042fccd",
|
|
"block_id": "1f292d4a-41a4-4977-9684-7c8d560b9f91",
|
|
"input_default": {
|
|
"model": "gpt-5-2025-08-07",
|
|
"retry": 3,
|
|
"prompt": "Extract and list the individual stories mentioned in the following newsletter which you believe would benefit from an accompanying picture.\nWhen making this decision, consider which stories are likely to have the best pictures available online. Do not just select every story. Consider how many images would be appropriate for a newsletter.\nFor each story you choose, output a clear, descriptive title that would make sense as a search query \u2014 not necessarily the original headline. \n\nOutput the results in XML format as follows:\n\n<stories>\n <story>Man lands on the moon</story>\n <story>NASA announces next Mars mission</story>\n</stories>\n\nHere is the newsletter content:\n<newsletter>\n{{newsletter | safe}}\n</newsletter>",
|
|
"ollama_host": "localhost:11434",
|
|
"prompt_values": {}
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": 705.45366413491,
|
|
"y": -31.198002095433587
|
|
},
|
|
"customized_name": "Pick Stories that need Images"
|
|
},
|
|
"input_links": [
|
|
{
|
|
"id": "635f3112-295b-436e-8b07-6f67ef7cf0e2",
|
|
"source_id": "b3cd6910-8252-4ff2-9983-335279774213",
|
|
"sink_id": "0a54faab-7d56-4826-8408-f1b00042fccd",
|
|
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"deepseek/deepseek-r1-0528": "open_router",
|
|
"dolphin-mistral:latest": "ollama",
|
|
"google/gemini-2.0-flash-001": "open_router",
|
|
"google/gemini-2.0-flash-lite-001": "open_router",
|
|
"google/gemini-2.5-flash": "open_router",
|
|
"google/gemini-2.5-flash-lite-preview-06-17": "open_router",
|
|
"google/gemini-2.5-pro-preview-03-25": "open_router",
|
|
"google/gemini-3-pro-preview": "open_router",
|
|
"gpt-3.5-turbo": "openai",
|
|
"gpt-4-turbo": "openai",
|
|
"gpt-4.1-2025-04-14": "openai",
|
|
"gpt-4.1-mini-2025-04-14": "openai",
|
|
"gpt-4o": "openai",
|
|
"gpt-4o-mini": "openai",
|
|
"gpt-5-2025-08-07": "openai",
|
|
"gpt-5-chat-latest": "openai",
|
|
"gpt-5-mini-2025-08-07": "openai",
|
|
"gpt-5-nano-2025-08-07": "openai",
|
|
"gpt-5.1-2025-11-13": "openai",
|
|
"gryphe/mythomax-l2-13b": "open_router",
|
|
"llama-3.1-8b-instant": "groq",
|
|
"llama-3.3-70b-versatile": "groq",
|
|
"llama3": "ollama",
|
|
"llama3.1:405b": "ollama",
|
|
"llama3.2": "ollama",
|
|
"llama3.3": "ollama",
|
|
"meta-llama/Llama-3.2-3B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/Llama-3.3-70B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/llama-4-maverick": "open_router",
|
|
"meta-llama/llama-4-scout": "open_router",
|
|
"microsoft/wizardlm-2-8x22b": "open_router",
|
|
"mistralai/mistral-nemo": "open_router",
|
|
"moonshotai/kimi-k2": "open_router",
|
|
"nousresearch/hermes-3-llama-3.1-405b": "open_router",
|
|
"nousresearch/hermes-3-llama-3.1-70b": "open_router",
|
|
"nvidia/llama-3.1-nemotron-70b-instruct": "aiml_api",
|
|
"o1": "openai",
|
|
"o1-mini": "openai",
|
|
"o3-2025-04-16": "openai",
|
|
"o3-mini": "openai",
|
|
"openai/gpt-oss-120b": "open_router",
|
|
"openai/gpt-oss-20b": "open_router",
|
|
"perplexity/sonar": "open_router",
|
|
"perplexity/sonar-deep-research": "open_router",
|
|
"perplexity/sonar-pro": "open_router",
|
|
"qwen/qwen3-235b-a22b-thinking-2507": "open_router",
|
|
"qwen/qwen3-coder": "open_router",
|
|
"v0-1.0-md": "v0",
|
|
"v0-1.5-lg": "v0",
|
|
"v0-1.5-md": "v0",
|
|
"x-ai/grok-4": "open_router",
|
|
"x-ai/grok-4-fast": "open_router",
|
|
"x-ai/grok-4.1-fast": "open_router",
|
|
"x-ai/grok-code-fast-1": "open_router"
|
|
},
|
|
"discriminator_values": [
|
|
"gpt-5-mini-2025-08-07",
|
|
"gpt-5-2025-08-07"
|
|
]
|
|
},
|
|
"open_router_api_key_credentials": {
|
|
"credentials_provider": [
|
|
"open_router"
|
|
],
|
|
"credentials_types": [
|
|
"api_key"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "open_router",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "api_key",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.OPEN_ROUTER: 'open_router'>], Literal['api_key']]",
|
|
"type": "object",
|
|
"discriminator": "model",
|
|
"discriminator_mapping": {
|
|
"Llama-3.3-70B-Instruct": "llama_api",
|
|
"Llama-3.3-8B-Instruct": "llama_api",
|
|
"Llama-4-Maverick-17B-128E-Instruct-FP8": "llama_api",
|
|
"Llama-4-Scout-17B-16E-Instruct-FP8": "llama_api",
|
|
"Qwen/Qwen2.5-72B-Instruct-Turbo": "aiml_api",
|
|
"amazon/nova-lite-v1": "open_router",
|
|
"amazon/nova-micro-v1": "open_router",
|
|
"amazon/nova-pro-v1": "open_router",
|
|
"claude-3-7-sonnet-20250219": "anthropic",
|
|
"claude-3-haiku-20240307": "anthropic",
|
|
"claude-haiku-4-5-20251001": "anthropic",
|
|
"claude-opus-4-1-20250805": "anthropic",
|
|
"claude-opus-4-20250514": "anthropic",
|
|
"claude-opus-4-5-20251101": "anthropic",
|
|
"claude-sonnet-4-20250514": "anthropic",
|
|
"claude-sonnet-4-5-20250929": "anthropic",
|
|
"cohere/command-r-08-2024": "open_router",
|
|
"cohere/command-r-plus-08-2024": "open_router",
|
|
"deepseek/deepseek-chat": "open_router",
|
|
"deepseek/deepseek-r1-0528": "open_router",
|
|
"dolphin-mistral:latest": "ollama",
|
|
"google/gemini-2.0-flash-001": "open_router",
|
|
"google/gemini-2.0-flash-lite-001": "open_router",
|
|
"google/gemini-2.5-flash": "open_router",
|
|
"google/gemini-2.5-flash-lite-preview-06-17": "open_router",
|
|
"google/gemini-2.5-pro-preview-03-25": "open_router",
|
|
"google/gemini-3-pro-preview": "open_router",
|
|
"gpt-3.5-turbo": "openai",
|
|
"gpt-4-turbo": "openai",
|
|
"gpt-4.1-2025-04-14": "openai",
|
|
"gpt-4.1-mini-2025-04-14": "openai",
|
|
"gpt-4o": "openai",
|
|
"gpt-4o-mini": "openai",
|
|
"gpt-5-2025-08-07": "openai",
|
|
"gpt-5-chat-latest": "openai",
|
|
"gpt-5-mini-2025-08-07": "openai",
|
|
"gpt-5-nano-2025-08-07": "openai",
|
|
"gpt-5.1-2025-11-13": "openai",
|
|
"gryphe/mythomax-l2-13b": "open_router",
|
|
"llama-3.1-8b-instant": "groq",
|
|
"llama-3.3-70b-versatile": "groq",
|
|
"llama3": "ollama",
|
|
"llama3.1:405b": "ollama",
|
|
"llama3.2": "ollama",
|
|
"llama3.3": "ollama",
|
|
"meta-llama/Llama-3.2-3B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/Llama-3.3-70B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/llama-4-maverick": "open_router",
|
|
"meta-llama/llama-4-scout": "open_router",
|
|
"microsoft/wizardlm-2-8x22b": "open_router",
|
|
"mistralai/mistral-nemo": "open_router",
|
|
"moonshotai/kimi-k2": "open_router",
|
|
"nousresearch/hermes-3-llama-3.1-405b": "open_router",
|
|
"nousresearch/hermes-3-llama-3.1-70b": "open_router",
|
|
"nvidia/llama-3.1-nemotron-70b-instruct": "aiml_api",
|
|
"o1": "openai",
|
|
"o1-mini": "openai",
|
|
"o3-2025-04-16": "openai",
|
|
"o3-mini": "openai",
|
|
"openai/gpt-oss-120b": "open_router",
|
|
"openai/gpt-oss-20b": "open_router",
|
|
"perplexity/sonar": "open_router",
|
|
"perplexity/sonar-deep-research": "open_router",
|
|
"perplexity/sonar-pro": "open_router",
|
|
"qwen/qwen3-235b-a22b-thinking-2507": "open_router",
|
|
"qwen/qwen3-coder": "open_router",
|
|
"v0-1.0-md": "v0",
|
|
"v0-1.5-lg": "v0",
|
|
"v0-1.5-md": "v0",
|
|
"x-ai/grok-4": "open_router",
|
|
"x-ai/grok-4-fast": "open_router",
|
|
"x-ai/grok-4.1-fast": "open_router",
|
|
"x-ai/grok-code-fast-1": "open_router"
|
|
},
|
|
"discriminator_values": [
|
|
"perplexity/sonar-deep-research"
|
|
]
|
|
},
|
|
"anthropic_api_key_credentials": {
|
|
"credentials_provider": [
|
|
"anthropic"
|
|
],
|
|
"credentials_types": [
|
|
"api_key"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "anthropic",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "api_key",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.ANTHROPIC: 'anthropic'>], Literal['api_key']]",
|
|
"type": "object",
|
|
"discriminator": "model",
|
|
"discriminator_mapping": {
|
|
"Llama-3.3-70B-Instruct": "llama_api",
|
|
"Llama-3.3-8B-Instruct": "llama_api",
|
|
"Llama-4-Maverick-17B-128E-Instruct-FP8": "llama_api",
|
|
"Llama-4-Scout-17B-16E-Instruct-FP8": "llama_api",
|
|
"Qwen/Qwen2.5-72B-Instruct-Turbo": "aiml_api",
|
|
"amazon/nova-lite-v1": "open_router",
|
|
"amazon/nova-micro-v1": "open_router",
|
|
"amazon/nova-pro-v1": "open_router",
|
|
"claude-3-7-sonnet-20250219": "anthropic",
|
|
"claude-3-haiku-20240307": "anthropic",
|
|
"claude-haiku-4-5-20251001": "anthropic",
|
|
"claude-opus-4-1-20250805": "anthropic",
|
|
"claude-opus-4-20250514": "anthropic",
|
|
"claude-opus-4-5-20251101": "anthropic",
|
|
"claude-sonnet-4-20250514": "anthropic",
|
|
"claude-sonnet-4-5-20250929": "anthropic",
|
|
"cohere/command-r-08-2024": "open_router",
|
|
"cohere/command-r-plus-08-2024": "open_router",
|
|
"deepseek/deepseek-chat": "open_router",
|
|
"deepseek/deepseek-r1-0528": "open_router",
|
|
"dolphin-mistral:latest": "ollama",
|
|
"google/gemini-2.0-flash-001": "open_router",
|
|
"google/gemini-2.0-flash-lite-001": "open_router",
|
|
"google/gemini-2.5-flash": "open_router",
|
|
"google/gemini-2.5-flash-lite-preview-06-17": "open_router",
|
|
"google/gemini-2.5-pro-preview-03-25": "open_router",
|
|
"google/gemini-3-pro-preview": "open_router",
|
|
"gpt-3.5-turbo": "openai",
|
|
"gpt-4-turbo": "openai",
|
|
"gpt-4.1-2025-04-14": "openai",
|
|
"gpt-4.1-mini-2025-04-14": "openai",
|
|
"gpt-4o": "openai",
|
|
"gpt-4o-mini": "openai",
|
|
"gpt-5-2025-08-07": "openai",
|
|
"gpt-5-chat-latest": "openai",
|
|
"gpt-5-mini-2025-08-07": "openai",
|
|
"gpt-5-nano-2025-08-07": "openai",
|
|
"gpt-5.1-2025-11-13": "openai",
|
|
"gryphe/mythomax-l2-13b": "open_router",
|
|
"llama-3.1-8b-instant": "groq",
|
|
"llama-3.3-70b-versatile": "groq",
|
|
"llama3": "ollama",
|
|
"llama3.1:405b": "ollama",
|
|
"llama3.2": "ollama",
|
|
"llama3.3": "ollama",
|
|
"meta-llama/Llama-3.2-3B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/Llama-3.3-70B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": "aiml_api",
|
|
"meta-llama/llama-4-maverick": "open_router",
|
|
"meta-llama/llama-4-scout": "open_router",
|
|
"microsoft/wizardlm-2-8x22b": "open_router",
|
|
"mistralai/mistral-nemo": "open_router",
|
|
"moonshotai/kimi-k2": "open_router",
|
|
"nousresearch/hermes-3-llama-3.1-405b": "open_router",
|
|
"nousresearch/hermes-3-llama-3.1-70b": "open_router",
|
|
"nvidia/llama-3.1-nemotron-70b-instruct": "aiml_api",
|
|
"o1": "openai",
|
|
"o1-mini": "openai",
|
|
"o3-2025-04-16": "openai",
|
|
"o3-mini": "openai",
|
|
"openai/gpt-oss-120b": "open_router",
|
|
"openai/gpt-oss-20b": "open_router",
|
|
"perplexity/sonar": "open_router",
|
|
"perplexity/sonar-deep-research": "open_router",
|
|
"perplexity/sonar-pro": "open_router",
|
|
"qwen/qwen3-235b-a22b-thinking-2507": "open_router",
|
|
"qwen/qwen3-coder": "open_router",
|
|
"v0-1.0-md": "v0",
|
|
"v0-1.5-lg": "v0",
|
|
"v0-1.5-md": "v0",
|
|
"x-ai/grok-4": "open_router",
|
|
"x-ai/grok-4-fast": "open_router",
|
|
"x-ai/grok-4.1-fast": "open_router",
|
|
"x-ai/grok-code-fast-1": "open_router"
|
|
},
|
|
"discriminator_values": [
|
|
"claude-sonnet-4-20250514"
|
|
]
|
|
},
|
|
"google_oauth2_credentials": {
|
|
"credentials_provider": [
|
|
"google"
|
|
],
|
|
"credentials_types": [
|
|
"oauth2"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "google",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "oauth2",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.GOOGLE: 'google'>], Literal['oauth2']]",
|
|
"type": "object",
|
|
"credentials_scopes": [
|
|
"https://www.googleapis.com/auth/gmail.send"
|
|
],
|
|
"discriminator_values": []
|
|
},
|
|
"jina_api_key_credentials": {
|
|
"credentials_provider": [
|
|
"jina"
|
|
],
|
|
"credentials_types": [
|
|
"api_key"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "jina",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "api_key",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.JINA: 'jina'>], Literal['api_key']]",
|
|
"type": "object",
|
|
"discriminator_values": []
|
|
}
|
|
},
|
|
"required": [
|
|
"openai_api_key_credentials",
|
|
"open_router_api_key_credentials",
|
|
"anthropic_api_key_credentials",
|
|
"google_oauth2_credentials",
|
|
"jina_api_key_credentials"
|
|
],
|
|
"title": "PersonalNewsletterCredentialsInputSchema",
|
|
"type": "object"
|
|
}
|
|
} |