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Copy file name to clipboardexpand all lines: CHANGELOG.md
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# v3.2.1
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## Bug Fixes
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- Resolved issue where subnet wasn't being passed into ec2 instance creation
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- Resolved role creation issue when deploying with custom subnets
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- Updated docker image to grant permissions on copied in files
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## Coming Soon
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- Version 3.3.0 will include a new RAG ingestion pipeline. This will allow users to configure an S3 bucket and an ingestion trigger. When triggered, these documents will be pre-processed and loaded into the selected vector store.
Copy file name to clipboardexpand all lines: lib/docs/admin/getting-started.md
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> **WARNING**
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> As of LISA 3.0, the `ecsModels` parameter in `config-custom.yaml` is solely for staging model weights in your S3 bucket.
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> Previously, before models could be managed through the [API](/admin/model-management) or via the Model Management
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> Previously, before models could be managed through the [API](/config/model-management-api) or via the Model Management
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> section of the [Chatbot](/user/chat), this parameter also
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> dictated which models were deployed.
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-`jwtGroupsProperty`: Path to the groups field in the JWT token
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-`additionalScopes` (optional): Extra scopes for group membership information
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IDP Configuration examples using AWS Cognito and Keycloak can be found: [IDP Configuration Examples](/config/idp)
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IDP Configuration examples using AWS Cognito and Keycloak can be found: [IDP Configuration Examples](/admin/idp-config)
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## Step 7: Configure LiteLLM
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We utilize LiteLLM under the hood to allow LISA to respond to the [OpenAI specification](https://platform.openai.com/docs/api-reference).
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For LiteLLM configuration, a key must be set up so that the system may communicate with a database for tracking all the models that are added or removed
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using the [Model Management API](/admin/model-management). The key must start with `sk-` and then can be any arbitrary
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using the [Model Management API](/config/model-management-api). The key must start with `sk-` and then can be any
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arbitrary
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string. We recommend generating a new UUID and then using that as
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the key. Configuration example is below.
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**Important:** Endpoints or Models statically defined during LISA deployment cannot be removed or updated using the
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LISA Model Management API, and they will not show in the Chat UI. These will only show as part of the OpenAI `/models` API.
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Although there is support for it, we recommend using the [Model Management API](/admin/model-management) instead of the
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Although there is support for it, we recommend using the [Model Management API](/config/model-management-api) instead of
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