From 9380539b4e41eaedb48b10bbd0f1aaa1d951ec52 Mon Sep 17 00:00:00 2001 From: Elijah ben Izzy Date: Thu, 5 Dec 2024 11:07:17 -0800 Subject: [PATCH] Update README.md Our roadmap was lagging behind! --- README.md | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 51a30a45..89896b1d 100644 --- a/README.md +++ b/README.md @@ -153,16 +153,14 @@ but realized that it has a wide array of applications and decided to release it ## 🛣 Roadmap While Burr is stable and well-tested, we have quite a few tools/features on our roadmap! - -1. Parallelism -- support for recursive "sub-agents" through an ergonomic API (not: this is already feasible, see [recursive applications](https://burr.dagworks.io/recursion/)). -2. Testing & eval curation. Curating data with annotations and being able to export these annotations to create unit & integration tests. -3. Various efficiency/usability improvements for the core library (see [planned capabilities](https://burr.dagworks.io/concepts/planned-capabilities/) for more details). This includes: +1. FastAPI integration + hosted deployment -- make it really easy to get Burr in an app in production without thinking about REST APIs +2. Various efficiency/usability improvements for the core library (see [planned capabilities](https://burr.dagworks.io/concepts/planned-capabilities/) for more details). This includes: 1. First-class support for retries + exception management 2. More integration with popular frameworks (LCEL, LLamaIndex, Hamilton, etc...) 3. Capturing & surfacing extra metadata, e.g. annotations for particular point in time, that you can then pull out for fine-tuning, etc. -4. Tooling for hosted execution of state machines, integrating with your infrastructure (Ray, modal, FastAPI + EC2, etc...) -5. Storage integrations. More integrations with technologies like Redis, MongoDB, MySQL, etc. so you can run Burr on top of what you have available. -6. More out of the box plugins for fine-grained tracing, e.g. decorators for your functions, LLM clients, etc. + 4. Improvements to the pydantic-based typing system +3. Tooling for hosted execution of state machines, integrating with your infrastructure (Ray, modal, FastAPI + EC2, etc...) +4. Additional storage integrations. More integrations with technologies like MySQL, S3, etc. so you can run Burr on top of what you have available. If you want to avoid self-hosting the above solutions we're building Burr Cloud. To let us know you're interested sign up [here](https://forms.gle/w9u2QKcPrztApRedA) for the waitlist to get access.