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.Net: Example of Semantic Caching with Filters #6151
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westey-m
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May 8, 2024
dotnet/src/Connectors/Connectors.Memory.AzureCosmosDBMongoDB/AzureCosmosDBMongoDBMemoryStore.cs
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Motivation and Context
This example shows how to achieve Semantic Caching with Filters.
IPromptRenderFilter
is used to get rendered prompt and check in cache if similar prompt was already answered. If there is a record in cache, then previously cached answer will be returned to the user instead of making a call to LLM. If there is no record in cache, a call to LLM will be performed, and result will be cached together with rendered prompt.IFunctionInvocationFilter
is used to update cache with rendered prompt and related LLM result.Example includes in-memory, Redis and Azure Cosmos DB for MongoDB as caching stores.
Common output which demonstrates that second execution is faster, because the result is returned from cache:
PR also contains a couple of fixes in Azure Cosmos DB for MongoDB connector and a couple of additions in public API:
FunctionResult? Result
property toPromptRenderContext
. By default it'snull
, because at prompt rendering stage there is no available result yet. But it's possible to set result with some value - in this case, prompt won't be sent to LLM. Instead, the result from filter will be returned.string? RenderedPrompt
toFunctionResult
type asExperimental
. By default it'snull
, and will be populated only whenKernelFunctionFromPrompt
is executed. This property will provide a couple of benefits:Contribution Checklist