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Add cross-region inference option for AWS in self-hosted documentation (#464)
* Add cross-region inference option for AWS in self-hosted documentation * Clarify cross-region inference documentation across Azure DevOps, Bitbucket, GitHub, and GitLab integration guides
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docs/self-hosted/azure-devops.md

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@@ -103,6 +103,9 @@ LLM_TIMEOUT=360000
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AWS_ACCESS_KEY_ID=<aws-access-key>
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AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
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AWS_REGION=<aws-region>
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# optionally, use cross-region inference to access models in other regions
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# if this is set to `true`, CodeRabbit will access models from `us`, `eu`, or `ap` regions based on the AWS_REGION value.
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AWS_USE_CROSS_REGION_INFERENCE=[<true>]
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TEMP_PATH=/cache
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docs/self-hosted/bitbucket.md

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@@ -95,6 +95,9 @@ LLM_TIMEOUT=360000
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AWS_ACCESS_KEY_ID=<aws-access-key>
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AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
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AWS_REGION=<aws-region>
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# optionally, use cross-region inference to access models in other regions
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# if this is set to `true`, CodeRabbit will access models from `us`, `eu`, or `ap` regions based on the AWS_REGION value.
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AWS_USE_CROSS_REGION_INFERENCE=[<true>]
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# System Configuration
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TEMP_PATH=/cache

docs/self-hosted/github.md

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@@ -106,6 +106,9 @@ LLM_TIMEOUT=360000
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AWS_ACCESS_KEY_ID=<aws-access-key>
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AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
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AWS_REGION=<aws-region>
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# optionally, use cross-region inference to access models in other regions
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# if this is set to `true`, CodeRabbit will access models from `us`, `eu`, or `ap` regions based on the AWS_REGION value.
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AWS_USE_CROSS_REGION_INFERENCE=[<true>]
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# if using Anthropic
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LLM_PROVIDER=anthropic

docs/self-hosted/gitlab.md

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@@ -134,6 +134,9 @@ LLM_TIMEOUT=360000
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AWS_ACCESS_KEY_ID=<aws-access-key>
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AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
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AWS_REGION=<aws-region>
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# optionally, use cross-region inference to access models in other regions
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# if this is set to `true`, CodeRabbit will access models from `us`, `eu`, or `ap` regions based on the AWS_REGION value.
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AWS_USE_CROSS_REGION_INFERENCE=[<true>]
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# if using Anthropic
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LLM_PROVIDER=anthropic

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