wehub-resource-sync
45 lines
1.5 KiB
Markdown
45 lines
1.5 KiB
Markdown
# Function Invocation Approval
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This console application shows how to use function invocation filter (`IFunctionInvocationFilter`) to invoke a Kernel Function only if such operation was approved.
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If function invocation was rejected, the result will contain the reason why, so the LLM can respond appropriately.
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The application uses a sample plugin which builds software by following these development stages: collection of requirements, design, implementation, testing and deployment.
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Each step can be approved or rejected. Based on that, the LLM will decide how to proceed.
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## Configuring Secrets
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The example requires credentials to access OpenAI or Azure OpenAI.
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If you have set up those credentials as secrets within Secret Manager or through environment variables for other samples from the solution in which this project is found, they will be re-used.
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### To set your secrets with Secret Manager:
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```
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cd dotnet/samples/Demos/FunctionInvocationApproval
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dotnet user-secrets init
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dotnet user-secrets set "OpenAI:ChatModelId" "..."
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dotnet user-secrets set "OpenAI:ApiKey" "..."
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dotnet user-secrets set "AzureOpenAI:ChatDeploymentName" "..."
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dotnet user-secrets set "AzureOpenAI:Endpoint" "https://... .openai.azure.com/"
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dotnet user-secrets set "AzureOpenAI:ApiKey" "..."
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```
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### To set your secrets with environment variables
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Use these names:
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```
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# OpenAI
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OpenAI__ChatModelId
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OpenAI__ApiKey
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# Azure OpenAI
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AzureOpenAI__ChatDeploymentName
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AzureOpenAI__Endpoint
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AzureOpenAI__ApiKey
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```
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