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docs/configuration/holmesgpt/index.rst

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@@ -228,7 +228,7 @@ Choose an AI provider below and follow the instructions:
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Starting from version *0.22.1*, Robusta supports an alternative way to configure AI models: using a YAML dictionary in your Helm values file.
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This method allows you to configure multiple models at once, each with its own credentials.
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This method allows you to configure multiple models at once, each with its own parameters.
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Update your Helm values (``generated_values.yaml`` file) with the following configuration.
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enableHolmesGPT: true
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holmes:
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modelCredentials: # sample configuration.
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modelList: # sample configuration.
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openai:
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model: openai/gpt-4o
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api_key: <your-api-key>
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api_key: "{{ env.API_KEY }}"
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azure-low-budget:
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model : azure/team-low-budget
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api_base : <your-api-base> # fill in the base endpoint url of your azure deployment - e.g. https://my-org.openai.azure.com/
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api_version : "2024-06-01"
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api_key : "{{ env.AZURE_API_KEY }}" # you can load the values from an environment variable as well.
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temperature: 0
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bedrock-devops:
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model: bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0 # your bedrock model.
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aws_region_name: us-east-1
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aws_access_key_id: <your-aws-access-key-id>
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aws_access_key_id: "{{ env.AWS_ACCESS_KEY_ID }}" # you can load the values from an environment variable as well.
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aws_secret_access_key: <your-aws-secret-access-key>
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thinking: {"type": "enabled", "budget_tokens": 1024}
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Run a :ref:`Helm Upgrade <Simple Upgrade>` to apply the configuration.
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