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Support fallback deployments to accompany fallback models

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This is useful for example in Azure OpenAI deployments where you have a different deployment per model, so the current fallback implementation doesn't work (still uses the same deployment for each fallback attempt)
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zmeir
2023-08-07 16:17:06 +03:00
parent 43297b851f
commit 6c4a5bae52
3 changed files with 23 additions and 3 deletions
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pr_agent/settings/.secrets_template.toml
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@ -14,6 +14,7 @@ key = "" # Acquire through https://platform.openai.com
#api_version = '2023-05-15' # Check Azure documentation for the current API version
#api_base = "" # The base URL for your Azure OpenAI resource. e.g. "https://<your resource name>.openai.azure.com"
#deployment_id = "" # The deployment name you chose when you deployed the engine
#fallback_deployments = [] # Match your fallback models from configuration.toml with the appropriate deployment_id
[anthropic]
key = "" # Optional, uncomment if you want to use Anthropic. Acquire through https://www.anthropic.com/