Add AWS Bedrock configuration options

Author: hasit

docs/self-hosted/azure-devops.md

@@ -70,6 +70,11 @@ AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
 ## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
 AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
 
+# if using AWS Bedrock
+AWS_ACCESS_KEY_ID=<aws-access-key>
+AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
+AWS_REGION=<aws-region>
+
 TEMP_PATH=/cache
 
 AST_GREP_RULES_PATH=/home/jailuser/ast-grep-rules

docs/self-hosted/bitbucket.md

@@ -60,6 +60,11 @@ AZURE_O1_MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]  # Optional
 AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]  # Optional: Provides best reviews but very expensive
 AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name>]  # Optional: modelVersion: turbo-2024-04-09
 
+# if using AWS Bedrock
+AWS_ACCESS_KEY_ID=<aws-access-key>
+AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
+AWS_REGION=<aws-region>
+
 # System Configuration
 TEMP_PATH=/cache
 AST_GREP_RULES_PATH=/home/jailuser/ast-grep-rules

docs/self-hosted/github.md

@@ -73,6 +73,11 @@ AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
 ## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
 AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
 
+# if using AWS Bedrock
+AWS_ACCESS_KEY_ID=<aws-access-key>
+AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
+AWS_REGION=<aws-region>
+
 # if using Anthropic
 LLM_PROVIDER=anthropic
 LLM_TIMEOUT=360000

docs/self-hosted/gitlab.md

@@ -69,6 +69,11 @@ AZURE_O1_DEPLOYMENT_NAME=<o1-preview-deployment-name>
 ## gpt-4-turbo is optional: it’s expensive but provides better reviews
 AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
 
+# if using AWS Bedrock
+AWS_ACCESS_KEY_ID=<aws-access-key>
+AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
+AWS_REGION=<aws-region>
+
 # if using Anthropic
 LLM_PROVIDER=anthropic
 LLM_TIMEOUT=360000