| import anthropic | |
| import os | |
| import sys | |
| from termcolor import colored | |
| from dotenv import load_dotenv | |
| class ClaudeAgent: | |
| def __init__(self, api_key=None, model="claude-3-7-sonnet-20250219", max_tokens=4000): | |
| """Initialize the Claude agent with API key and model.""" | |
| self.api_key = api_key or os.environ.get("ANTHROPIC_API_KEY") |
This tool allows you to generate hundreds of dress design variations using Stable Diffusion's image-to-image capabilities running locally on your PC.
This setup uses the Automatic1111 WebUI for Stable Diffusion, which provides an easy-to-use API that our Python script will call to generate dress variations based on your input images.
| { | |
| "questions": { | |
| "hasRepayments": true, | |
| "hasCreditCardBills": true, | |
| "hasRecreationalVehicle": true, | |
| "hasVehicle": true, | |
| "hasRealEstate": true, | |
| "spouseHasBenefits": true, | |
| "isMarried": true, | |
| "hasDependents": "2", |
| { | |
| "personalIdentification": { | |
| "ssn": "3018", | |
| "fileNumber": "3018", | |
| "fsrReason": "Waiver" | |
| }, | |
| "personalData": { | |
| "veteranFullName": { | |
| "first": "Travis", | |
| "middle": "D", |
| 21:56:06 web.1 | I am PARAMS!!!! {"personal_identification"=>{"ssn"=>"3018", "file_number"=>"3018", "fsr_reason"=>""}, "personal_data"=>{"veteran_full_name"=>{"first"=>"Travis", "middle"=>"D", "last"=>"Jones"}, "address"=>{"addressline_one"=>"1200 Park Ave", "addressline_two"=>"c/o Pixar", "addressline_three"=>"", "city"=>"Emeryville", "state_or_province"=>"CA", "zip_or_postal_code"=>"94608", "country_name"=>"US"}, "telephone_number"=>"(510) 922-4444", "date_of_birth"=>"09/06/1950", "married"=>false, "spouse_full_name"=>{"first"=>"", "middle"=>"", "last"=>""}, "ages_of_other_dependents"=>[], "employment_history"=>[{"veteran_or_spouse"=>"VETERAN", "occupation_name"=>"Full time", "from"=>"01/2020", "to"=>"", "present"=>true, "employer_name"=>"Testing", "employer_address"=>{"addressline_one"=>"", "addressline_two"=>"", "addressline_three"=>"", "city"=>"", "state_or_province"=>"", "zip_or_postal_code"=>"", "country_name"=>""}}]}, "income"=>[{"veteran_or_spouse"=>"VETERAN", "monthly_gross_salary"=>"5366.66", "ded |
| { | |
| "debtDetails": { | |
| "type": "Post-9/11 GI Bill debt for books and supplies", | |
| "status": "fully paid off", | |
| "currentBalance": "$0.00", | |
| "originalOverpayment": "$200.00", | |
| "totalPaid": "$230.00", | |
| "totalFeesInterest": "$30.00", | |
| "lastPaymentDate": "June 8, 2020", | |
| "nextPaymentDue": "N/A" |
| File Path | Event Name | Additional Properties |
|---|---|---|
| src/applications/combined-debt-portal/combined/routes.jsx | cta-link-click-enter-mcp | { } |
| src/applications/combined-debt-portal/combined/routes.jsx | cta-link-click-enter-ltr | { } |
| // add data |
Access the Argo CD Dashboard for Deployment Management:
Find the vets-api-web node and start the Rails console with:
| /** | |
| * @fileoverview This module provides functionality to retrieve GMT (Geographical Mean Test) thresholds. | |
| * It supports fetching data from production, staging, or using mock data based on configuration toggles. | |
| */ | |
| import * as Sentry from '@sentry/browser'; | |
| import { apiRequest } from 'platform/utilities/api'; | |
| import environment from 'platform/utilities/environment'; | |
| // Constants used for calculating thresholds |