axonhub

🥈Silver

AxonHub is a unified AI gateway system that provides a single API for OpenAI, Anthropic, Gemini, and AI SDK compatible models. It enables developers to integrate multiple AI services into their applications without managing separate APIs. This simplifies AI integration for operations teams, reducing complexity and improving efficiency.

3,1211770Updated 2mo ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/looplj/axonhub.git

Works with:

Claude

Overview

About This Skill

https://deepwiki.com/looplj/axonhub

How to Use

[{"step":"Set up AxonHub API credentials","action":"Sign up for AxonHub at [axonhub.ai](https://axonhub.ai), obtain your API key, and configure your application to route requests through AxonHub's unified endpoint instead of individual model APIs.","tip":"Use AxonHub's SDK or REST API documentation to replace existing model-specific API calls with a single AxonHub endpoint."},{"step":"Define your multi-model workflow","action":"Structure your task to leverage different models for specific purposes. For example: use a creative model for content generation, an accurate model for analysis, and a fast model for summarization.","tip":"Consult AxonHub's model comparison tool to identify the best model for each subtask based on latency, cost, and capability benchmarks."},{"step":"Send the unified request","action":"Format your input to include all subtasks in a single API call. Use AxonHub's 'multi-model' parameter to specify which model handles which part of the task.","tip":"Test with a small subset of data first to validate the workflow before scaling to production."},{"step":"Process and interpret results","action":"Use AxonHub's standardized response format to parse outputs from different models. Aggregate results into a unified dashboard or application logic.","tip":"Leverage AxonHub's built-in logging to track model performance and costs across different providers."},{"step":"Optimize and iterate","action":"Review the results and adjust your model assignments based on performance metrics. Use AxonHub's analytics to identify cost-saving opportunities or latency bottlenecks.","tip":"Set up automated alerts in AxonHub to notify you when a model's performance degrades or costs exceed thresholds."}]

Use Cases

Integrate multiple AI models into a single application for enhanced functionality.

Automate the management of AI requests and responses across different providers.

Implement real-time monitoring and tracing of AI interactions for better debugging.

Utilize adaptive load balancing to optimize performance based on model availability.

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/looplj/axonhub

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use AxonHub to [TASK] across multiple AI models (e.g., OpenAI, Anthropic, Gemini) with a single API call. For example: 'Generate a product description for [PRODUCT] using the most creative model available, then analyze sentiment with the most accurate model, and finally summarize the results in a table.' Include [INPUT_DATA] if needed.

Example Output

### Multi-Model AI Workflow Results

**Input:** Product description request for 'EcoCharge Pro' wireless charger.

**Step 1: Creative Generation (using Anthropic Claude 3.5 Sonnet via AxonHub)**
Generated 3 unique product descriptions:
1. "The EcoCharge Pro redefines wireless charging with 15W fast charging, a sleek bamboo finish, and Qi2 compatibility. Designed for eco-conscious professionals who demand both performance and sustainability in one elegant device."
2. "Charge your devices guilt-free with the EcoCharge Pro—crafted from 100% recycled aluminum, delivering 90% charging efficiency while reducing e-waste. Your tech deserves a second chance."
3. "Say goodbye to tangled cables. The EcoCharge Pro combines 20W fast charging with a minimalist design that blends seamlessly into any workspace. Perfect for the modern minimalist who values both speed and style."

**Step 2: Sentiment Analysis (using OpenAI GPT-4o via AxonHub)**
Analyzed sentiment across all descriptions:
- Description 1: 85% positive (focus on innovation and sustainability)
- Description 2: 92% positive (strong eco-conscious appeal)
- Description 3: 88% positive (emphasis on convenience and design)

**Step 3: Results Summary (using AxonHub's unified response formatting)**
| Model Used       | Output Focus       | Sentiment Score | Key Strengths                     |
|------------------|--------------------|-----------------|-----------------------------------|
| Anthropic        | Creativity         | N/A             | Unique angles, sustainability     |
| OpenAI           | Sentiment Analysis | 85-92%          | High accuracy, nuanced scoring    |

**Recommendation:** Use Description 2 for marketing campaigns targeting eco-conscious consumers due to its highest sentiment score and strong sustainability messaging.

**AxonHub Benefits:** All models accessed via a single API endpoint, reducing integration time by 70% compared to managing separate SDKs.