Replies: 4 comments 13 replies
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I started taking LangGraph course this morning to learn a bit about how it works. A couple of callouts. 1/ the interesting thing about the curriculum is how it's oriented around popular agent architectures, like ReAct. That makes it easy to wrap my head around it because they approach the problem from the customer (use-case) perspective. 2/ I think the emphasis on observability is really good. If I have to take a workflow to production, it's going to be a key requirement. |
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Here is another thing that could be a source of inspiration for this feature: https://build.langchain.com/ The interesting thing here is you can use the |
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It seems that we should be able to rebuild their samples and use Creating a proper resumable/durable workflow engine is somewhat involved. Looking at the tradeoff here. Maybe We can provide a simplified view over existing workflow system and let people swap them out later on. e.g. local workflow like "effect" vs "Azure durable functions" for example. Also LangGraph functional APIs are quite small and nice. |
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Here's some deep research cooked by Claude that uses LangGraph + GenAISCript |
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Let's use this discussion to discuss workflow support in genaiscript.
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