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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.
7222 lines
256 KiB
JSON
7222 lines
256 KiB
JSON
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"instructions": "This agent takes up to two hours to craft a highly researched, SEO-driven blog post that has a strong likelihood of performing well and driving traffic to your site, thereby increasing the chances of your website appearing on Google's front page. It accomplishes this by conducting keyword research with a subagent, which is an SEO expert. You can schedule this agent according to your publishing frequency, whether that's once a day, every four days, or once a week\u2014whatever suits your blogging needs. \n\nAlthough it is necessary to use WordPress for managing the blog posts, you can design and build a website with WordPress as the back-end by clicking this link, where I have provided a pre-filled Lovable prompt to guide you: https://tinyurl.com/loveable-wordpress-frontend\n\nNote: This agent will automatically publish the posts it creates directly to your WordPress site.",
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"content": "The generated blog post content in clean HTML format, ready for WordPress publishing",
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"image_prompt": "Detailed string for a ultra high quality photographic image generation prompt. Your best work ever."
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},
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{
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{
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"id": "640f7f20-704b-4f3a-9c86-c0bf3677996c",
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"source_name": "item",
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{
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"id": "9e2e280e-ea15-4f8b-8d63-f6030fec44db",
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{
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{
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"id": "a64966eb-dac6-4ca9-b7d3-5736138b7ad8",
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"source_name": "updated_list",
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{
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{
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"id": "cb1aa523-b93b-49d1-8d64-1da3782c5a18",
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{
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"id": "0c1e4c82-8aab-4bf4-bb1d-f3f63a25dc16",
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"source_name": "updated_list",
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{
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"id": "4e03765c-0ab3-431f-84b2-adeaac4a85ff",
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{
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"sink_name": "url",
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{
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"id": "8fc356aa-c3e8-4b67-af05-f05a018c8f8c",
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"source_name": "output",
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"sink_name": "collection",
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},
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{
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"id": "1c8e8264-e788-47fb-96a3-e4ae5116fab8",
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"source_name": "count",
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},
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{
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"id": "5eb8ec7c-bc6e-41e2-be64-6d91a83abf3a",
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"source_name": "list",
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"sink_name": "list",
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"is_static": false
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},
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{
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"id": "29ae2bf1-4801-4a64-a4c0-190d42eb60ac",
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"source_id": "083a9d96-7683-4963-b18e-26bc68841f7c",
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"sink_id": "0bc3c929-2493-4d0c-9a77-3d831e193385",
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},
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{
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"id": "02de7dc8-6cd0-4880-8e3d-b8723b26ce47",
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"sink_id": "0bc3c929-2493-4d0c-9a77-3d831e193385",
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"sink_name": "value",
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}
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],
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"forked_from_id": null,
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"forked_from_version": null,
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"input_schema": {
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"type": "object",
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"properties": {
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"Wordpress Blog URL": {
|
|
"advanced": false,
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|
"anyOf": [
|
|
{
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|
"format": "short-text",
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|
"type": "string"
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|
},
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|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"secret": false,
|
|
"title": "Wordpress Blog URL",
|
|
"description": "e.g aiespresso.wordpress.com - no \"http://\" or \"/\"s"
|
|
}
|
|
},
|
|
"required": [
|
|
"Wordpress Blog URL"
|
|
]
|
|
},
|
|
"output_schema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"Blog Post Titles": {
|
|
"advanced": false,
|
|
"secret": false,
|
|
"title": "Blog Post Titles"
|
|
},
|
|
"Error": {
|
|
"advanced": false,
|
|
"secret": false,
|
|
"title": "Error"
|
|
}
|
|
},
|
|
"required": [
|
|
"Blog Post Titles",
|
|
"Error"
|
|
]
|
|
},
|
|
"has_external_trigger": false,
|
|
"has_human_in_the_loop": false,
|
|
"trigger_setup_info": null
|
|
},
|
|
{
|
|
"id": "d43270ae-9538-4f4d-bf40-0e842ea42bbc",
|
|
"version": 15,
|
|
"is_active": true,
|
|
"name": "Text Humanizer",
|
|
"description": "Put in AI Generated text, this tool will attempt to make it appear less obviously AI generated.",
|
|
"instructions": null,
|
|
"recommended_schedule_cron": null,
|
|
"nodes": [
|
|
{
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|
"id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
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"block_id": "0b02b072-abe7-11ef-8372-fb5d162dd712",
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|
"input_default": {
|
|
"timeout": 300,
|
|
"language": "python",
|
|
"setup_commands": []
|
|
},
|
|
"metadata": {
|
|
"position": {
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"x": 1396.3000357443748,
|
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"y": 610.461992453033
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}
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},
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"input_links": [
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{
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"id": "5eeb3e7d-130a-46a9-8939-af9fbb1db3d4",
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"source_id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
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"sink_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
|
"source_name": "output",
|
|
"sink_name": "code",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": [
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|
{
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|
"id": "341de54d-aba8-4f6f-b0f3-225e12f54dee",
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"source_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
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"sink_id": "b72a68e2-95bc-4b6a-b012-cad51ce891e9",
|
|
"source_name": "stderr_logs",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
},
|
|
{
|
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"id": "d0cda6db-96b1-4cae-9a3b-89a7c786ed55",
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"source_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
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"sink_id": "b72a68e2-95bc-4b6a-b012-cad51ce891e9",
|
|
"source_name": "error",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
},
|
|
{
|
|
"id": "68a7ac5c-0204-4d37-bd29-33d03c4a8b16",
|
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"source_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
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"sink_id": "64b313dc-0b6f-41c0-9c37-3bab18538c5a",
|
|
"source_name": "stdout_logs",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
|
|
"block_id": "db7d8f02-2f44-4c55-ab7a-eae0941f0c30",
|
|
"input_default": {
|
|
"format": "import re\n\nRE = re.compile(r\"[\u201c\u201d\u2018\u2019\u2014\u2013\u2026\u2032\u2033\u2212\u00d7\u00f7\u2264\u2265\u2260\u00b1\u2248\u2192\u2190\u2194\u21d2\u21d0\u2022\u00b7\u00a9\u00ae\u2122\u00bd\u00bc\u00be\u2153\u2154\u215b\u215c\u215d\u215e\u00ab\u00bb\u2039\u203a\\u00A0\\u2010\\u2011\\u2012\\u00AD]\")\n\nMAP = {\n \"\u201c\": '\"', \"\u201d\": '\"',\n \"\u2018\": \"'\", \"\u2019\": \"'\",\n \"\u2014\": \" - \", \"\u2013\": \"-\",\n \"\u2026\": \"...\",\n \"\u2032\": \"'\", \"\u2033\": '\"',\n \"\u2212\": \"-\", # U+2212 minus\n \"\u00d7\": \"x\", \"\u00f7\": \"/\",\n \"\u2264\": \"<=\", \"\u2265\": \">=\", \"\u2260\": \"!=\",\n \"\u00b1\": \"+/-\", \"\u2248\": \"~\",\n \"\u2192\": \"->\", \"\u2190\": \"<-\", \"\u2194\": \"<->\",\n \"\u21d2\": \"=>\", \"\u21d0\": \"<=\",\n \"\u2022\": \"*\", \"\u00b7\": \".\",\n \"\u00a9\": \"(C)\", \"\u00ae\": \"(R)\", \"\u2122\": \"(TM)\",\n \"\u00bd\": \"1/2\", \"\u00bc\": \"1/4\", \"\u00be\": \"3/4\",\n \"\u2153\": \"1/3\", \"\u2154\": \"2/3\",\n \"\u215b\": \"1/8\", \"\u215c\": \"3/8\", \"\u215d\": \"5/8\", \"\u215e\": \"7/8\",\n \"\u00ab\": \"<<\", \"\u00bb\": \">>\", \"\u2039\": \"<\", \"\u203a\": \">\",\n \"\\u00A0\": \" \", # NBSP -> space\n \"\\u2010\": \"-\", # HYPHEN\n \"\\u2011\": \"-\", # NON-BREAKING HYPHEN\n \"\\u2012\": \"-\", # FIGURE DASH\n \"\\u00AD\": \"\", # SOFT HYPHEN\n}\n\ninput_string = \"\"\"{{text | safe}}\"\"\"\nprint(RE.sub(lambda m: MAP[m.group(0)], input_string))\n",
|
|
"values": {}
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": 798.0204985759965,
|
|
"y": 604.6283090015096
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|
}
|
|
},
|
|
"input_links": [
|
|
{
|
|
"id": "f5c80b8e-c9b5-46f3-a1d1-c78ed476ced9",
|
|
"source_id": "2c805606-23e3-479f-a1dc-b3a1649dac4d",
|
|
"sink_id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
|
|
"source_name": "result",
|
|
"sink_name": "values_#_text",
|
|
"is_static": true
|
|
}
|
|
],
|
|
"output_links": [
|
|
{
|
|
"id": "5eeb3e7d-130a-46a9-8939-af9fbb1db3d4",
|
|
"source_id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
|
|
"sink_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
|
"source_name": "output",
|
|
"sink_name": "code",
|
|
"is_static": false
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"id": "2c805606-23e3-479f-a1dc-b3a1649dac4d",
|
|
"block_id": "90a56ffb-7024-4b2b-ab50-e26c5e5ab8ba",
|
|
"input_default": {
|
|
"name": "AI Generated Text",
|
|
"secret": false,
|
|
"advanced": false,
|
|
"placeholder_values": []
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": 205.77212429609472,
|
|
"y": 602.9791272931379
|
|
}
|
|
},
|
|
"input_links": [],
|
|
"output_links": [
|
|
{
|
|
"id": "f5c80b8e-c9b5-46f3-a1d1-c78ed476ced9",
|
|
"source_id": "2c805606-23e3-479f-a1dc-b3a1649dac4d",
|
|
"sink_id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
|
|
"source_name": "result",
|
|
"sink_name": "values_#_text",
|
|
"is_static": true
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"id": "64b313dc-0b6f-41c0-9c37-3bab18538c5a",
|
|
"block_id": "363ae599-353e-4804-937e-b2ee3cef3da4",
|
|
"input_default": {
|
|
"name": "Humanized Text",
|
|
"secret": false,
|
|
"advanced": false
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": 2551.9887740433414,
|
|
"y": 617.3378904696456
|
|
}
|
|
},
|
|
"input_links": [
|
|
{
|
|
"id": "68a7ac5c-0204-4d37-bd29-33d03c4a8b16",
|
|
"source_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
|
"sink_id": "64b313dc-0b6f-41c0-9c37-3bab18538c5a",
|
|
"source_name": "stdout_logs",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": []
|
|
},
|
|
{
|
|
"id": "b72a68e2-95bc-4b6a-b012-cad51ce891e9",
|
|
"block_id": "363ae599-353e-4804-937e-b2ee3cef3da4",
|
|
"input_default": {
|
|
"name": "Error",
|
|
"secret": false,
|
|
"advanced": false
|
|
},
|
|
"metadata": {
|
|
"position": {
|
|
"x": 3111.9890459714757,
|
|
"y": 617.3379217231886
|
|
}
|
|
},
|
|
"input_links": [
|
|
{
|
|
"id": "341de54d-aba8-4f6f-b0f3-225e12f54dee",
|
|
"source_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
|
"sink_id": "b72a68e2-95bc-4b6a-b012-cad51ce891e9",
|
|
"source_name": "stderr_logs",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
},
|
|
{
|
|
"id": "d0cda6db-96b1-4cae-9a3b-89a7c786ed55",
|
|
"source_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
|
"sink_id": "b72a68e2-95bc-4b6a-b012-cad51ce891e9",
|
|
"source_name": "error",
|
|
"sink_name": "value",
|
|
"is_static": false
|
|
}
|
|
],
|
|
"output_links": []
|
|
}
|
|
],
|
|
"links": [
|
|
{
|
|
"id": "f5c80b8e-c9b5-46f3-a1d1-c78ed476ced9",
|
|
"source_id": "2c805606-23e3-479f-a1dc-b3a1649dac4d",
|
|
"sink_id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
|
|
"source_name": "result",
|
|
"sink_name": "values_#_text",
|
|
"is_static": true
|
|
},
|
|
{
|
|
"id": "5eeb3e7d-130a-46a9-8939-af9fbb1db3d4",
|
|
"source_id": "8a844481-e687-469c-a4c6-6135a4fa7fd9",
|
|
"sink_id": "15886b0c-1525-44b3-8b52-4b1be4fc4c18",
|
|
"source_name": "output",
|
|
"sink_name": "code",
|
|
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"name": "Keyword SEO Expert",
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"description": "takes the guesswork out of SEO by analyzing your website with top keyword research tools, then recommending the most valuable keyword to target based on your domain and niche \u2014 so you know exactly where to focus for maximum search impact.",
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"instructions": null,
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"prompt": "You are a seasoned SEO strategist, hired to perform expert quality SEO research, in order to select the next blog post topic for this website.\n\nYou must:\n- Treat this as a serious, high-stakes SEO decision where the site's growth depends on your choice. Pick the highest volume, low difficulty keyword possible which is relevant to the website.\n- Work like a real SEO expert would: explore multiple angles, refine ideas, and check underserved niches before making a recommendation.\n- Prefer extra research over premature completion. Continue until you are confident, based on the evidence gathered, that no stronger keyword opportunity exists.\n\nTools Available:\n1) Get Related Search Keywords \u2014 related keywords from Google SERP \u201csearches related to\u201d.\n2) Get Autocomplete Keyword Suggestions \u2014 autocomplete ideas with words before, after, or within the seed keyword.\n\nInputs:\n<domain>\n{{DOMAIN | safe}}\n</domain>\n<website_primary_topic>\n{{SITE_TOPIC | safe}}\n</website_primary_topic>\n<website_description>\n{{SITE_DESC | safe}}\n</website_description>\n<previous_posts>\n{{POSTS | safe}}\n</previous_posts>\n\nProcess:\n1) Generate multiple broad seed keyword ideas for the site\u2019s niche.\n2) For each seed:\n - Use BOTH tools to gather suggestions.\n - Merge/deduplicate results; note volume/intent/fit if available.\n3) After each round, reflect explicitly:\n \u201cDo I have enough evidence to pick the best keyword, or could I improve by exploring another angle or refining a seed?\u201d\n If improvement is possible, keep researching.\n4) Only when further research is unlikely to yield a better opportunity:\n - Select ONE Primary Keyword.\n - Propose a compelling blog title that includes the Primary Keyword.\n - Summarize the evidence and reasoning that supports the choice.\n\nOUTPUT FORMAT (strict):\nReturn EXACTLY seven XML blocks, plain text inside each, no nesting and no other content outside these tags:\n1) <research_log>\u2026</research_log> \u2014 a chronological log of seeds tried, which tool(s) were used, notable findings.\n2) <selection_notes>\u2026</selection_notes> \u2014 why certain keywords were kept or discarded; how they map to site goals/gaps.\n3) <primary_keyword>\u2026</primary_keyword> \u2014 the chosen primary keyword (plain text only).\n4) <proposed_title>\u2026</proposed_title> \u2014 the proposed blog title including the primary keyword.\n5) <kd>\u2026</kd> \u2014 keyword difficulty for the chosen primary keyword (numeric if available; otherwise \u201cunknown\u201d).\n6) <sv>\u2026</sv> \u2014 monthly search volume for the chosen primary keyword (numeric if available; otherwise \u201cunknown\u201d).\n7) <justification>\u2026</justification> \u2014 brief evidence-backed rationale for the selection.\n\nRules:\n- Do not include any XML tags other than: research_log, selection_notes, primary_keyword, proposed_title, kd, sv, justification.\n- Do not nest or add attributes.\n- Keep kd and sv to a single value each (no units; plain number or \u201cunknown\u201d).\n- Keep all other structure as plain text lines and bullet points only.\n- Use as many tool calls as necessary to complete your task to a very high degree of quality.\n- Avoid repeating topics covered in previous_posts. Duplicate or overly similar topics must always be avoided.\n",
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"sys_prompt": "Thinking carefully step by step decide which function to call. \n\nAlways choose a function call from the list of function signatures, and always provide the complete argument provided with the type matching the required jsonschema signature, no missing argument is allowed. \n\nIf you have already completed the task objective, you can end the task by providing the end result of your work as a finish message. \n\nCritical Reminder: All function parameters must always be be provided, you can't put \"null\" or nothing. \nNEVER provide `null` as an input to a tool, you must always fill out every tool input on your chosen tool\n\nYou may make as many sequential tool calls as needed to complete the research before providing the final output - the vast majority of tasks require many sequential tool calls to achieve. \nContinue using tools until you have high confidence in your choice, as defined by the main prompt.\nAlways call a tool with each message unless you are providing your final response. As soon as you call without a tall the task will be permanently ended.\n\nThe following note is regarding PARALLEL tool calls (multiple sequential is okay and heavily encouraged):\n",
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"ollama_host": "localhost:11434",
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"prompt_values": {
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"DOMAIN": "aiespresso.wordpress.com",
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"SITE_DESC": "A blog that makes AI approachable and easy to benefit from for the average person",
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"SITE_TOPIC": "AI for Everyday People"
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},
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"format": "import json\n\ndef parse_loose_json(raw: str):\n raw = raw.strip()\n if not raw.startswith('['):\n raw = '[' + raw.rstrip(', \\n') + ']'\n return json.loads(raw)\n\ndef filter_keywords(items, min_volume: int, max_difficulty: int):\n filtered = [\n row for row in items\n if isinstance(row.get('search_volume'), (int, float))\n and isinstance(row.get('keyword_difficulty'), (int, float))\n and row['search_volume'] >= min_volume\n and row['keyword_difficulty'] <= max_difficulty\n ]\n filtered.sort(key=lambda r: (-r['search_volume'], r['keyword_difficulty']))\n return filtered\n\ndef _fmt(v):\n if v is None:\n return ''\n if isinstance(v, float):\n s = ('%.6f' % v).rstrip('0').rstrip('.')\n return s\n return str(v)\n\ndef to_markdown(rows, columns):\n def esc(x: str) -> str:\n return x.replace('|', r'\\|').replace('\\n', ' ').replace('\\r', ' ')\n header = '| ' + ' | '.join(columns) + ' |'\n sep = '| ' + ' | '.join('---' for _ in columns) + ' |'\n out = [header, sep]\n for r in rows:\n out.append('| ' + ' | '.join(esc(_fmt(r.get(c, ''))) for c in columns) + ' |')\n return '\\n'.join(out)\n\n# --- run ---\nraw = \"\"\"{{data | safe}}\"\"\"\ndata = parse_loose_json(raw)\nrecords = filter_keywords(data, min_volume={{min_sv | safe}}, max_difficulty={{max_kd | safe}})\n\n# Print Markdown Table\ncolumns = ['keyword','search_volume','keyword_difficulty','cpc','competition','serp_info','clickstream_data']\nprint(to_markdown(records, columns))\n",
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|
|
"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-5-2025-08-07"
|
|
]
|
|
},
|
|
"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"
|
|
]
|
|
},
|
|
"replicate_api_key_credentials": {
|
|
"credentials_provider": [
|
|
"replicate"
|
|
],
|
|
"credentials_types": [
|
|
"api_key"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "replicate",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "api_key",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.REPLICATE: 'replicate'>], Literal['api_key']]",
|
|
"type": "object",
|
|
"discriminator_values": []
|
|
},
|
|
"wordpress_oauth2_credentials": {
|
|
"credentials_provider": [
|
|
"wordpress"
|
|
],
|
|
"credentials_types": [
|
|
"oauth2"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "wordpress",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "oauth2",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.WORDPRESS: 'wordpress'>], Literal['oauth2']]",
|
|
"type": "object",
|
|
"discriminator_values": []
|
|
},
|
|
"dataforseo_user_password_credentials": {
|
|
"credentials_provider": [
|
|
"dataforseo"
|
|
],
|
|
"credentials_types": [
|
|
"user_password"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "dataforseo",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "user_password",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.DATAFORSEO: 'dataforseo'>], Literal['user_password']]",
|
|
"type": "object",
|
|
"discriminator_values": []
|
|
},
|
|
"e2b_api_key_credentials": {
|
|
"credentials_provider": [
|
|
"e2b"
|
|
],
|
|
"credentials_types": [
|
|
"api_key"
|
|
],
|
|
"properties": {
|
|
"id": {
|
|
"title": "Id",
|
|
"type": "string"
|
|
},
|
|
"title": {
|
|
"anyOf": [
|
|
{
|
|
"type": "string"
|
|
},
|
|
{
|
|
"type": "null"
|
|
}
|
|
],
|
|
"default": null,
|
|
"title": "Title"
|
|
},
|
|
"provider": {
|
|
"const": "e2b",
|
|
"title": "Provider",
|
|
"type": "string"
|
|
},
|
|
"type": {
|
|
"const": "api_key",
|
|
"title": "Type",
|
|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
|
|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.E2B: 'e2b'>], Literal['api_key']]",
|
|
"type": "object",
|
|
"discriminator_values": []
|
|
}
|
|
},
|
|
"required": [
|
|
"openai_api_key_credentials",
|
|
"open_router_api_key_credentials",
|
|
"replicate_api_key_credentials",
|
|
"wordpress_oauth2_credentials",
|
|
"dataforseo_user_password_credentials",
|
|
"e2b_api_key_credentials"
|
|
],
|
|
"title": "AutomatedSEOBlogWriterCredentialsInputSchema",
|
|
"type": "object"
|
|
}
|
|
} |