Python SDK + CLI for Alpie Core are live (sync, async, streaming)

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Hey Builders 👋

We have just released the official Python SDK and CLI for Alpie Core, our 32B reasoning model trained and served entirely at native 4-bit precision.

The goal was simple: make it genuinely easy to build, test, and ship with a reasoning model in real-world systems, not just demos.

What’s included in the first release:

  • Clean Python SDK with sync, async, and streaming support

  • A lightweight CLI for quick experiments and scripting

  • OpenAI-compatible API surface for drop-in integration

  • Built-in retries, timeouts, and typed error handling

  • Designed for long-context and multi-step reasoning workflows

The SDK is production-ready and already integrated with our hosted API, so you can transition from pip install to real workloads quickly. To make experimentation frictionless, the first API key comes with 5 million free tokens to test, benchmark, and build without limits. Get started on our website.

We’d love feedback from builders using it in:

  • Agentic flows and tool-calling setups

  • Long-context reasoning or planning tasks

  • High-throughput async workloads

  • Anything that breaks in production before it breaks in a benchmark

Docs + source are live, and we’re actively iterating.
Github Link:

If you encounter sharp edges, missing primitives, or design gaps, please let us know. This SDK will evolve directly based on how people actually use Alpie Core.

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This is interesting. I’ve worked with a few AI SDKs recently, and having both sync/async support plus streaming from day one is a big win. In practice, that flexibility really matters once you move from demos to real user-facing tools. Curious to see how devs integrate this in production workflows.