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- Git, for local development and for fetching the managed Loom recipe: https://git-scm.com/downloads
- uv, for running the Loom training recipe: https://docs.astral.sh/uv/getting-started/installation/
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Verify:
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```powershell
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azd version
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go version
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git --version
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python --version
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```
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`az login` is not required for the current `init`/`deploy` flow because deploy calls the RLE control plane directly. If the control plane later requires auth, set `RLE_BEARER_TOKEN` before deploy.
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`az login` is not required for the current `init`/`deploy` flow because deploy calls the RLE control plane directly.
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### 2. Check out the branch
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@@ -33,12 +36,18 @@ cd cli\azd\extensions\azure.ai.rle
To target a local control plane instead, set `RLE_ENDPOINT` to `http://localhost:5000`.
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`http://localhost:5000` is also the built-in default, so you can omit `RLE_ENDPOINT` when using a local RLE control plane.
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`RLE_ACR_IMAGE` is required by deploy and is expanded from the generated `rle.yaml`.
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For `invoke`, provide the Azure AI project endpoint as a parameter:
Init creates a local session folder named `code_rl`, including an OpenEnv-style FastAPI package, `Dockerfile`, and `rle.yaml`.
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Init creates a local session folder named `code_rl`, including an OpenEnv-style FastAPI package, `Dockerfile`, `rle.yaml`, and azd-managed dependencies under `.azd-rle\deps`.
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Deploy from the session folder:
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```powershell
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cd .\code_rl
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azd ai rle deploy
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azd ai rle deploy --project omi-build-demo-uae
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```
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Deploy creates or updates the RLE environment and saves the environment id/version locally.
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Deploy creates or updates the RLE environment and saves the project plus environment id/version locally in `.azd-rle.json`.
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