Practical overview
When it fits
Use AxonHub when an application needs a shared gateway between its SDK and multiple LLM providers, or when provider routing, failover, tracing or cost tracking are part of the operational workflow.
Who it is for
- Developers building applications that call large language models.
- Teams that want to route requests from existing AI SDKs across multiple model providers.
- Operators seeking gateway-level controls for routing, tracing and usage costs.
Documented uses
- Route requests from an existing SDK to different LLM providers through a gateway.
- Configure failover or load balancing across model channels.
- Inspect request traces to investigate model calls.
- Track request-level usage costs.
Requirements & limits
The public repository describes AxonHub as open source and is licensed under Apache-2.0. Docker and self-hosted server platforms are listed.
- AxonHub is infrastructure to operate between an application and model providers, rather than an end-user assistant or a model provider.
- The project identifies OpenAI and Anthropic SDKs and Claude, Gemini and DeepSeek among the relevant ecosystems.
- Its described operational functions include failover, load balancing, end-to-end tracing and cost control.
- The repository is Go-based and lists Docker and self-hosting as platforms.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Set up AxonHub with a provider and client API key
Initialize AxonHub, configure an AI provider channel, and create a key for clients.
Before you start
- A deployed AxonHub instance and its access address.
- An AI provider API key.
Steps
Open the AxonHub access address and follow the initialization wizard to create an administrator account.
In Channels, add an AI provider and its API key; configure supported models, test the connection, and enable the channel.
In API Keys, create an AxonHub API key for client use.
Expected outcome
AxonHub is initialized with an enabled provider channel and a client API key, ready for a client request.
Guide limitations
- The setup instructions assume deployment is already complete; deployment steps are not included here.
- Provider choice and model availability are not specified.
Send a chat-completion request through AxonHub with the OpenAI Python SDK
Use the OpenAI Python SDK to send a chat-completion request to AxonHub.
Before you start
- A running AxonHub instance accessible at the configured base URL.
- An AxonHub API key.
- A configured provider channel and supported model.
- The OpenAI Python SDK.
Steps
Create an OpenAI client with
base_url="http://localhost:8090/v1"and your AxonHub API key.Call
client.chat.completions.createwith modelgpt-4oand a user message such asHello, AxonHub!.Read the response text from
response.choices[0].message.content.
Expected outcome
The example reads the returned chat-completion message content.
Guide limitations
- The example uses a local base URL and a placeholder key; adjust them for the AxonHub instance in use.
- Successful execution depends on the configured channel supporting the requested model.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 7 October 2026
- Original website title
- looplj/axonhub · Official homepage title · retained in its source language