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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.
1886 lines
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1886 lines
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],
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"input_schema": {
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"type": "object",
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"properties": {
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"advanced": false,
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"anyOf": [
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{
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"format": "short-text",
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{
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}
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],
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"title": "What business type you want to look for?",
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"description": "The type of Business you're looking for, for example Hotels, Gyms or Restaurants.",
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"default": "Coffee Roasters"
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},
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}
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],
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"secret": false,
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"title": "Where do you want to search?",
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"description": "The area you want to search, for example London, New York or Tokyo.",
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"default": "Edinburgh, UK"
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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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"title": "Number of Results",
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"description": "The maximum number of results to return from the search, the actual result may be less. (max 60).",
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"default": 3
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}
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},
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"required": []
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},
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"output_schema": {
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"type": "object",
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"properties": {
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"Name": {
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"advanced": false,
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"secret": false,
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"title": "Name"
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},
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"Website": {
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"advanced": false,
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"secret": false,
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"title": "Website"
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},
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"Rating": {
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"advanced": false,
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"secret": false,
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|
"title": "Rating"
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|
},
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|
"Number of Reviews": {
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|
"advanced": false,
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|
"secret": false,
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|
"title": "Number of Reviews"
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|
},
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|
"Phone Number": {
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|
"advanced": false,
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|
"secret": false,
|
|
"title": "Phone Number"
|
|
},
|
|
"Address": {
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|
"advanced": false,
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|
"secret": false,
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|
"title": "Address"
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|
}
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|
},
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|
"required": [
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|
"Name",
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|
"Website",
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|
"Rating",
|
|
"Number of Reviews",
|
|
"Phone Number",
|
|
"Address"
|
|
]
|
|
},
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|
"has_external_trigger": false,
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|
"has_human_in_the_loop": false,
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"trigger_setup_info": null,
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|
"credentials_input_schema": {
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|
"properties": {
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|
"google_maps_api_key_credentials": {
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|
"credentials_provider": [
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|
"google_maps"
|
|
],
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|
"credentials_types": [
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|
"api_key"
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|
],
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|
"properties": {
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|
"id": {
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|
"title": "Id",
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|
"type": "string"
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|
},
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|
"title": {
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|
"anyOf": [
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|
{
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|
"type": "string"
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|
},
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|
{
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|
"type": "null"
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|
}
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|
],
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|
"default": null,
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|
"title": "Title"
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|
},
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|
"provider": {
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|
"const": "google_maps",
|
|
"title": "Provider",
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|
"type": "string"
|
|
},
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|
"type": {
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|
"const": "api_key",
|
|
"title": "Type",
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|
"type": "string"
|
|
}
|
|
},
|
|
"required": [
|
|
"id",
|
|
"provider",
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|
"type"
|
|
],
|
|
"title": "CredentialsMetaInput[Literal[<ProviderName.GOOGLE_MAPS: 'google_maps'>], Literal['api_key']]",
|
|
"type": "object",
|
|
"discriminator_values": []
|
|
}
|
|
},
|
|
"required": [
|
|
"google_maps_api_key_credentials"
|
|
],
|
|
"title": "LeadFinderCredentialsInputSchema",
|
|
"type": "object"
|
|
}
|
|
} |