# \[ANN\] RxInferServer + Python SDK: Fast Inference from Python (and more)

**URL:** <https://discourse.julialang.org/t/ann-rxinferserver-python-sdk-fast-inference-from-python-and-more/127969>\
**Category:** Package Announcements\
**Tags:** python, bayesian-inference, rxinfer, openapi, sdk\
**Created:** [April 11, 2025, 10:21am UTC](https://discourse.julialang.org/t/ann-rxinferserver-python-sdk-fast-inference-from-python-and-more/127969 "2025-04-11T10:21:29Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![bvdmitri](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bvdmitri/32/22935_2.png) [@bvdmitri](https://discourse.julialang.org/u/bvdmitri)\
**Post date:** [April 11, 2025, 10:21am UTC](https://discourse.julialang.org/t/ann-rxinferserver-python-sdk-fast-inference-from-python-and-more/127969/1 "2025-04-11T10:21:29Z")

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Hi everyone,

We’re excited to share that [Lazy Dynamics](https://www.lazydynamics.ai) has released a **Python SDK for RxInferServer** , making it easy to call high-performance **RxInfer** models from Python.

But there’s more:

**RxInferServer** itself is designed as a general-purpose backend that supports **remote execution of probabilistic models** , and with minor modifications, it can be used to **call arbitrary Julia code** , too. It also exposes an **OpenAPI specification** , making integration with other languages and frameworks straightforward.

* * *

### **🔧 What you can do with it today**

- Use **Python** to call reactive probabilistic models hosted on RxInferServer
- Send/receive multidimensional arrays and distributions from JSON
- Run inference with RxInfer models remotely
- Use the **OpenAPI** interface for auto-generated clients or integration in other tools
- Extend the server to call **custom Julia code** , not just RxInfer models
- The server supports **hot-reloading** of code and models for fast and easy experimentation

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### **🔍 Example + Docs**

- **Example (Python → RxInfer):** [Inference in State Space Models - RxInfer Client](https://lazydynamics.github.io/RxInferClient.py/examples/state-space-model/)
- **Full RxInferServer docs:** [Home · RxInferServer](https://server.rxinfer.com/stable/)
- **RxInfer website:** [https://rxinfer.com](https://rxinfer.com)

* * *

### **🚧 What’s next?**

- More examples: online inference, real-time data pipelines, deployment patterns
- Better Julia integration examples (beyond RxInfer)
- More SDKs for RxInfer in JavaScript/TypeScript/You name it

We’re looking for early feedback from developers interested in:

- Bayesian inference and probabilistic programming
- Bridging Python and Julia for ML workloads
- Real-time, reactive modeling

Feel free to try it out, report bugs, suggest features, or just tell us how it feels from your perspective as a dev.