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@@ -36,7 +36,6 @@ Data recipes supports datasources accessed via API, but in some cases it is pref
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Finally, we provide a sync process that will allow recipe managers to check out and work on recipes locally, then publish them back into the recipes database for wider consumption. We also provide a autogen studio setup enabling the recipe managers to use experimental assistants to generate and run recipes, semi-automating the process. We are not developing a dedicated user interface because most developers and data scientists would prefer to use their existing development environment (such as VS Code + GitHub Copilot) for reviewing, updating, and creating new recipes.
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Some more discussion on design decisions can also be found [here](https://www.loom.com/share/500e960fd91c44c282076be4b0126461?sid=83af2d6c-622c-4bda-b21b-8f528d6eafba).
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# What's in this repo?
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Data recipes AI contains an autogenstudio instance for the Docker build, as well as sample skill, agent and workflows to use a team of autogen agents for creating data recipes.
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You can information on Autogen studio [here](https://github.com/microsoft/autogen/tree/main/samples/apps/autogen-studio). This folder includes a skill to query the data recipes data DB, an agent to use that, with some prompts to help it, and a workflow that uses the agent.
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You can information on Autogen studio [here](https://github.com/microsoft/autogen/tree/eb80286adff2f4054b00057edf370a0b6d52d453/python/packages/autogen-studio). This folder includes a skill to query the data recipes data DB, an agent to use that, with some prompts to help it, and a workflow that uses the agent.
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To activate:
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