claude-code-hub
🥈SilverClaude Code Hub is a modern Claude Code API proxy service that provides intelligent load balancing, user management, and usage statistics. It is designed for teams and enterprises that need to manage multiple AI service providers. The service can be integrated with existing workflows and tools to streamline AI service management.
1631730Updated 2mo ago
Intermediate30min to implementautomation
Saves ~120 min per use
Quick InstallView Source
git clone https://github.com/zsio/claude-code-hub.gitWorks with:
Claude
Overview
About This Skill
Claude Code Hub is a proxy service designed for teams and enterprises that need to manage multiple AI service providers through a single API interface. It provides intelligent load balancing based on weights, automatic failover, and session persistence across upstream services. The platform includes multi-tenant user management with fine-grained permissions, API key generation with rotation and expiration controls, and real-time monitoring with request statistics, cost tracking, and performance analytics. A modern web dashboard with Shadcn UI offers visibility into usage patterns and service health. Docker deployment with automatic database migrations ensures production-ready operation for organizations standardizing AI API access.
How to Use
["Identify the specific action you need to perform (e.g., load balancing, user management, or usage tracking) and note the required parameters.","Construct the API call using the Claude Code Hub endpoint. For example, use `POST /api/v1/balance` for load balancing or `GET /api/v1/usage` for statistics.","Include authentication details (API key or token) in the headers. Example: `Authorization: Bearer YOUR_API_KEY`.","Execute the API call using a tool like Postman, cURL, or integrate it directly into your workflow using Python/JS scripts.","Review the response for actionable insights (e.g., quota alerts, latency issues) and adjust your workflows or provider settings accordingly."]
Use Cases
Centralize API management for multiple AI service providers across teams
Distribute requests across multiple Claude-compatible services with automatic failover
Track and allocate AI service costs by user or department with detailed reporting
Control API access and usage quotas for different team members or projects
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/zsio/claude-code-hubRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Use the Claude Code Hub API to [ACTION] for [TEAM/PROJECT]. Include the following parameters: [PARAMETERS]. For example, 'Use the Claude Code Hub API to balance load across providers for the 'Q4-Analytics' project with parameters: max_retries=3, timeout=30s, and provider_priority=[anthropic, openai, mistral]'.
Example Output
```json
{
"status": "success",
"request_id": "req_20241115_142233_8745",
"summary": {
"total_requests": 1250,
"balanced_distribution": {
"anthropic": 420,
"openai": 415,
"mistral": 415
},
"latency_metrics": {
"avg_response_time_ms": 185,
"p95_response_time_ms": 320,
"failed_requests": 0
},
"user_quotas": {
"user_123": {
"used": 250,
"remaining": 750,
"provider_usage": {
"anthropic": 80,
"openai": 90,
"mistral": 80
}
},
"user_456": {
"used": 180,
"remaining": 820,
"provider_usage": {
"anthropic": 60,
"openai": 60,
"mistral": 60
}
}
}
},
"recommendations": [
"Consider increasing the Mistral provider quota for user_123 as they frequently hit the limit.",
"Monitor the p95 latency for OpenAI requests; it's slightly higher than the target of 300ms.",
"Schedule a maintenance window for provider upgrades during the lowest usage period (02:00-04:00 UTC)."
]
}
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