Claude Code API Gateway enables developers to integrate Claude Code into their applications via an OpenAI-compatible API. It supports streaming and simplifies authentication. Ideal for operations teams building AI-powered workflows.
git clone https://github.com/codingworkflow/claude-code-api.gitClaude Code API Gateway enables developers to integrate Claude Code into their applications via an OpenAI-compatible API. It supports streaming and simplifies authentication. Ideal for operations teams building AI-powered workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/codingworkflow/claude-code-apiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a developer and write a Python script using the Claude API to automate [TASK]. The script should use [DATA] and follow [PROGRAMMING_STANDARDS]. Include error handling and logging. Provide the complete code and explain how it works.
# Automated Data Processing Script
# This script automates the processing of customer feedback data using the Claude API.
# It reads data from a CSV file, sends it to Claude for analysis, and saves the results.
import csv
import requests
import json
import logging
# Configure logging
logging.basicConfig(filename='automation.log', level=logging.INFO)
# API Configuration
CLAUDE_API_URL = 'https://api.claude.ai/v1/process'
API_KEY = 'your_api_key_here'
# Read data from CSV
def read_data(file_path):
with open(file_path, mode='r') as file:
reader = csv.DictReader(file)
return [row for row in reader]
# Send data to Claude API
def process_with_claude(data):
headers = {
'Authorization': f'Bearer {API_KEY}',
'Content-Type': 'application/json'
}
payload = {
'data': data,
'task': 'analyze_sentiment'
}
response = requests.post(CLAUDE_API_URL, headers=headers, json=payload)
return response.json()
# Main function
def main():
try:
# Read and process data
data = read_data('customer_feedback.csv')
results = process_with_claude(data)
# Save results
with open('analysis_results.json', 'w') as f:
json.dump(results, f, indent=4)
logging.info('Data processing completed successfully')
except Exception as e:
logging.error(f'Error occurred: {str(e)}')
if __name__ == '__main__':
main()
# How It Works
1. The script reads customer feedback data from a CSV file.
2. It sends the data to the Claude API for sentiment analysis.
3. The results are saved to a JSON file.
4. The script includes error handling and logging for debugging.Your one-stop shop for church and ministry supplies.
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