asyncflows

asyncflows is a YAML config-based AI orchestration framework we built to make transparent and easily configurable AI pipelines

[asyncflows @asyncflows]

The whole day was really fun and it was a joy to have a bunch of people working on things they are passionate about.
Thanks to everyone who took part!

[asyncflows @asyncflows]

We had a great weekend doing an AI community and training hackathon using the asyncflows framework with @oxbridgeAIx and @oxfordAI at the @OxfordeResearch center!

[asyncflows @asyncflows]

AI for Sustainability is built for analysing company climate goals for comparison against EU regulations.

[asyncflows @asyncflows]

🛠️ Observability is a core tenet to our framework. We use:
- Structured logging,
- Sentry for error tracking,
- Low-level coroutine blocking time measurement.

[asyncflows @asyncflows]

🚀 Here’s asyncflows! Lightweight, config-driven, AI pipelines; designed for transparency and accelerating the path from testing to production.

Try in colab or install with pip and use a template:
🔗 https://t.co/jFV6Fljb6w

[asyncflows @asyncflows]

🌐 asyncflows is platform-independent.
- Any language model,
- Any SQL Database,
- Any S3-compatible blob storage,
- Any server: run asyncflows anywhere!

If you’d like to use asyncflows with another tool we don’t yet support, please open an issue on GitHub.