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fix: Add gpt-4o support #967 and embedding model version as variable (#1090)
Co-authored-by: Ross Smith <[email protected]> Co-authored-by: Adam Dougal <[email protected]>
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‎docs/LOCAL_DEPLOYMENT.md‎

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@@ -192,8 +192,11 @@ Execute the above [shell command](#L81) to run the function locally. You may nee
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|AZURE_OPENAI_RESOURCE||the name of your Azure OpenAI resource|
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|AZURE_OPENAI_MODEL||The name of your model deployment|
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|AZURE_OPENAI_MODEL_NAME|gpt-35-turbo|The name of the model|
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|AZURE_OPENAI_MODEL_VERSION|0613|The version of the model to use|
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|AZURE_OPENAI_API_KEY||One of the API keys of your Azure OpenAI resource|
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|AZURE_OPENAI_EMBEDDING_MODEL|text-embedding-ada-002|The name of you Azure OpenAI embeddings model deployment|
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|AZURE_OPENAI_EMBEDDING_MODEL|text-embedding-ada-002|The name of your Azure OpenAI embeddings model deployment|
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|AZURE_OPENAI_EMBEDDING_MODEL_NAME|text-embedding-ada-002|The name of the embeddings model (can be found in Azure AI Studio)|
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|AZURE_OPENAI_EMBEDDING_MODEL_VERSION|2|The version of the embeddings model to use (can be found in Azure AI Studio)|
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|AZURE_OPENAI_TEMPERATURE|0|What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. A value of 0 is recommended when using your data.|
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|AZURE_OPENAI_TOP_P|1.0|An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. We recommend setting this to 1.0 when using your data.|
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|AZURE_OPENAI_MAX_TOKENS|1000|The maximum number of tokens allowed for the generated answer.|

‎docs/model_configuration.md‎

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[Back to *Chat with your data* README](../README.md)
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# Overview
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This document outlines the necessary steps and configurations required for setting up and using models within the solution. It serves as a guide for developers to configure and customize model settings according to the project's needs.
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# Model Selection
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## Available Models
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- For a list of available models, see the [Microsoft Azure AI Services - OpenAI Models documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models).
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## Environment Variables (as listed in Azure AI Studio)
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- You can access the Environment Variables section of the `LOCAL_DEPLOYMENT.md` file by clicking on this link: [Environment Variables section in LOCAL_DEPLOYMENT.md](docs/LOCAL_DEPLOYMENT.md#environment-variables).
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### LLM
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- `AZURE_OPENAI_MODEL`: The Azure OpenAI Model Deployment Name
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- example: `my-gpt-35-turbo-16k`
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- `AZURE_OPENAI_MODEL_NAME`: The Azure OpenAI Model Name
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- example: `gpt-35-turbo-16k`
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- `AZURE_OPENAI_MODEL_VERSION`: The Azure OpenAI Model Version
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- example: `0613`
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- `AZURE_OPENAI_MODEL_CAPACITY`: The Tokens per Minute Rate Limit (thousands)
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- example: `30`
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### VISION
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- `AZURE_OPENAI_VISION_MODEL`: The Azure OpenAI Model Deployment Name
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- example: `my-gpt-4`
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- `AZURE_OPENAI_VISION_MODEL_NAME`: The Azure OpenAI Model Name
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- example: `gpt-4`
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- `AZURE_OPENAI_VISION_MODEL_VERSION`: The Azure OpenAI Model Version
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- example: `vision-preview`
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- `AZURE_OPENAI_VISION_MODEL_CAPACITY`: The Tokens per Minute Rate Limit (thousands)
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- example: `10`
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### EMBEDDINGS
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- `AZURE_OPENAI_EMBEDDING_MODEL`: The Azure OpenAI Model Deployment Name
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- example: `my-text-embedding-ada-002`
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- `AZURE_OPENAI_EMBEDDING_MODEL_NAME`: The Azure OpenAI Model Name
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- example: `text-embedding-ada-002`
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- `AZURE_OPENAI_EMBEDDING_MODEL_VERSION`: The Azure OpenAI Model Version
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- example: `2`
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- `AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY`: The Tokens per Minute Rate Limit (thousands)
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- example: `30`
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- `AZURE_SEARCH_DIMENSIONS`: Azure OpenAI Embeddings dimensions. A full list of dimensions can be found [here](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#embeddings-models).
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- example: `1536`
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### OPENAI API Configuration
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- `AZURE_OPENAI_API_VERSION`: The Azure OpenAI API Version
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- example: `2024-02-01`
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- `AZURE_OPENAI_MAX_TOKENS`: The Maximum Tokens per Request
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- example: `1000`
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- `AZURE_OPENAI_TEMPERATURE`: The Sampling Temperature (from 0 to 1)
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- example: `0`
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- `AZURE_OPENAI_TOP_P`: The Top P Sampling Probability
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- example: `1`
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# Model Configuration
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- To set an environment variable, you can use the following command:
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- `azd env set <ENVIRONMENT_VARIABLE_NAME> <ENVIRONMENT_VARIABLE_VALUE>`
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- To get the value of an environment variable, you can use the following command:
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- `azd env get <ENVIRONMENT_VARIABLE_NAME>`
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## GPT-4o & Text-Embeddings-3-Large
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- The following environment variables are set for the GPT-4o and Text-Embeddings-3-Large models:
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- `AZURE_OPENAI_API_VERSION`: `2024-05-01-preview`
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- `AZURE_OPENAI_MODEL`: `my-gpt-4o`
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- `AZURE_OPENAI_MODEL_NAME`: `gpt-4o`
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- `AZURE_OPENAI_MODEL_VERSION`: `2024-05-13`
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- `AZURE_OPENAI_EMBEDDING_MODEL`: `my-text-embedding-3-large`
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- `AZURE_OPENAI_EMBEDDING_MODEL_NAME`: `text-embedding-3-large`
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- `AZURE_OPENAI_EMBEDDING_MODEL_VERSION`: `1`
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- `AZURE_SEARCH_DIMENSIONS`: `3072`
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- `AZURE_MAX_TOKENS`: `4096`
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---

‎infra/main.bicep‎

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@@ -102,6 +102,7 @@ param azureOpenAIModel string = 'gpt-35-turbo-16k'
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@description('Azure OpenAI Model Name')
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param azureOpenAIModelName string = 'gpt-35-turbo-16k'
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@description('Azure OpenAI Model Version')
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param azureOpenAIModelVersion string = '0613'
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@description('Azure OpenAI Model Capacity - See here for more info https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/quota')
@@ -168,6 +169,9 @@ param azureOpenAIEmbeddingModel string = 'text-embedding-ada-002'
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@description('Azure OpenAI Embedding Model Name')
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param azureOpenAIEmbeddingModelName string = 'text-embedding-ada-002'
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@description('Azure OpenAI Embedding Model Version')
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param azureOpenAIEmbeddingModelVersion string = '2'
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@description('Azure OpenAI Embedding Model Capacity - See here for more info https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/quota')
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param azureOpenAIEmbeddingModelCapacity int = 30
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model: {
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format: 'OpenAI'
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name: azureOpenAIEmbeddingModelName
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version: '2'
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version: azureOpenAIEmbeddingModelVersion
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}
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sku: {
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name: 'Standard'
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var openAiDeployments = concat(
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defaultOpenAiDeployments,
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useAdvancedImageProcessing
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? [
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{
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name: azureOpenAIVisionModel
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model: {
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format: 'OpenAI'
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name: azureOpenAIVisionModelName
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version: azureOpenAIVisionModelVersion
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}
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sku: {
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name: 'Standard'
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capacity: azureOpenAIVisionModelCapacity
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}
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}
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]
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: []
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? [
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{
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name: azureOpenAIVisionModel
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model: {
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format: 'OpenAI'
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name: azureOpenAIVisionModelName
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version: azureOpenAIVisionModelVersion
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}
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sku: {
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name: 'Standard'
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capacity: azureOpenAIVisionModelCapacity
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}
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}
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]
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: []
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)
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module openai 'core/ai/cognitiveservices.bicep' = {
@@ -534,6 +538,7 @@ module web './app/web.bicep' = if (hostingModel == 'code') {
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AZURE_OPENAI_RESOURCE: azureOpenAIResourceName
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AZURE_OPENAI_MODEL: azureOpenAIModel
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AZURE_OPENAI_MODEL_NAME: azureOpenAIModelName
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AZURE_OPENAI_MODEL_VERSION: azureOpenAIModelVersion
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AZURE_OPENAI_TEMPERATURE: azureOpenAITemperature
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AZURE_OPENAI_TOP_P: azureOpenAITopP
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AZURE_OPENAI_MAX_TOKENS: azureOpenAIMaxTokens
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AZURE_OPENAI_API_VERSION: azureOpenAIApiVersion
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AZURE_OPENAI_STREAM: azureOpenAIStream
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AZURE_OPENAI_EMBEDDING_MODEL: azureOpenAIEmbeddingModel
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AZURE_OPENAI_EMBEDDING_MODEL_NAME: azureOpenAIEmbeddingModelName
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AZURE_OPENAI_EMBEDDING_MODEL_VERSION: azureOpenAIEmbeddingModelVersion
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AZURE_SEARCH_USE_SEMANTIC_SEARCH: azureSearchUseSemanticSearch
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AZURE_SEARCH_SERVICE: 'https://${azureAISearchName}.search.windows.net'
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AZURE_SEARCH_INDEX: azureSearchIndex
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AZURE_OPENAI_RESOURCE: azureOpenAIResourceName
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AZURE_OPENAI_MODEL: azureOpenAIModel
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AZURE_OPENAI_MODEL_NAME: azureOpenAIModelName
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AZURE_OPENAI_MODEL_VERSION: azureOpenAIModelVersion
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AZURE_OPENAI_TEMPERATURE: azureOpenAITemperature
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AZURE_OPENAI_TOP_P: azureOpenAITopP
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AZURE_OPENAI_MAX_TOKENS: azureOpenAIMaxTokens
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AZURE_OPENAI_API_VERSION: azureOpenAIApiVersion
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AZURE_OPENAI_STREAM: azureOpenAIStream
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AZURE_OPENAI_EMBEDDING_MODEL: azureOpenAIEmbeddingModel
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AZURE_OPENAI_EMBEDDING_MODEL_NAME: azureOpenAIEmbeddingModelName
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AZURE_OPENAI_EMBEDDING_MODEL_VERSION: azureOpenAIEmbeddingModelVersion
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AZURE_SEARCH_USE_SEMANTIC_SEARCH: azureSearchUseSemanticSearch
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AZURE_SEARCH_SERVICE: 'https://${azureAISearchName}.search.windows.net'
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AZURE_SEARCH_INDEX: azureSearchIndex
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AZURE_OPENAI_RESOURCE: azureOpenAIResourceName
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AZURE_OPENAI_MODEL: azureOpenAIModel
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AZURE_OPENAI_MODEL_NAME: azureOpenAIModelName
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AZURE_OPENAI_MODEL_VERSION: azureOpenAIModelVersion
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AZURE_OPENAI_TEMPERATURE: azureOpenAITemperature
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AZURE_OPENAI_TOP_P: azureOpenAITopP
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AZURE_OPENAI_MAX_TOKENS: azureOpenAIMaxTokens
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AZURE_OPENAI_API_VERSION: azureOpenAIApiVersion
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AZURE_OPENAI_STREAM: azureOpenAIStream
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AZURE_OPENAI_EMBEDDING_MODEL: azureOpenAIEmbeddingModel
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AZURE_OPENAI_EMBEDDING_MODEL_NAME: azureOpenAIEmbeddingModelName
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AZURE_OPENAI_EMBEDDING_MODEL_VERSION: azureOpenAIEmbeddingModelVersion
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AZURE_SEARCH_SERVICE: 'https://${azureAISearchName}.search.windows.net'
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AZURE_SEARCH_INDEX: azureSearchIndex
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AZURE_SEARCH_USE_SEMANTIC_SEARCH: azureSearchUseSemanticSearch
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AZURE_OPENAI_RESOURCE: azureOpenAIResourceName
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AZURE_OPENAI_MODEL: azureOpenAIModel
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AZURE_OPENAI_MODEL_NAME: azureOpenAIModelName
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AZURE_OPENAI_MODEL_VERSION: azureOpenAIModelVersion
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AZURE_OPENAI_TEMPERATURE: azureOpenAITemperature
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AZURE_OPENAI_TOP_P: azureOpenAITopP
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AZURE_OPENAI_MAX_TOKENS: azureOpenAIMaxTokens
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AZURE_OPENAI_API_VERSION: azureOpenAIApiVersion
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AZURE_OPENAI_STREAM: azureOpenAIStream
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AZURE_OPENAI_EMBEDDING_MODEL: azureOpenAIEmbeddingModel
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AZURE_OPENAI_EMBEDDING_MODEL_NAME: azureOpenAIEmbeddingModelName
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AZURE_OPENAI_EMBEDDING_MODEL_VERSION: azureOpenAIEmbeddingModelVersion
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AZURE_SEARCH_SERVICE: 'https://${azureAISearchName}.search.windows.net'
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AZURE_SEARCH_INDEX: azureSearchIndex
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AZURE_SEARCH_USE_SEMANTIC_SEARCH: azureSearchUseSemanticSearch
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functionName: hostingModel == 'container' ? function_docker.outputs.functionName : function.outputs.functionName
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websiteName: hostingModel == 'container' ? web_docker.outputs.FRONTEND_API_NAME : web.outputs.FRONTEND_API_NAME
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adminWebsiteName: hostingModel == 'container'
815-
? adminweb_docker.outputs.WEBSITE_ADMIN_NAME
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: adminweb.outputs.WEBSITE_ADMIN_NAME
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? adminweb_docker.outputs.WEBSITE_ADMIN_NAME
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: adminweb.outputs.WEBSITE_ADMIN_NAME
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eventGridSystemTopicName: eventgrid.outputs.name
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logAnalyticsName: monitoring.outputs.logAnalyticsWorkspaceName
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azureOpenAIResourceName: openai.outputs.name
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AZURE_CONTENT_SAFETY_ENDPOINT: contentsafety.outputs.endpoint
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AZURE_FORM_RECOGNIZER_ENDPOINT: formrecognizer.outputs.endpoint
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AZURE_OPENAI_MODEL: azureOpenAIModel
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AZURE_OPENAI_MODEL_NAME: azureOpenAIModelName
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AZURE_OPENAI_MODEL_VERSION: azureOpenAIModelVersion
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AZURE_OPENAI_EMBEDDING_MODEL: azureOpenAIEmbeddingModel
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AZURE_OPENAI_EMBEDDING_MODEL_NAME: azureOpenAIEmbeddingModelName
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AZURE_OPENAI_EMBEDDING_MODEL_VERSION: azureOpenAIEmbeddingModelVersion
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AZURE_OPENAI_RESOURCE: azureOpenAIResourceName
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AZURE_OPENAI_API_VERSION: azureOpenAIApiVersion
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AZURE_SEARCH_INDEX: azureSearchIndex
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AZURE_CONTENT_SAFETY_ENDPOINT: contentsafety.outputs.endpoint
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AZURE_FORM_RECOGNIZER_ENDPOINT: formrecognizer.outputs.endpoint
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AZURE_OPENAI_MODEL: azureOpenAIModel
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AZURE_OPENAI_MODEL_NAME: azureOpenAIModelName
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AZURE_OPENAI_MODEL_VERSION: azureOpenAIModelVersion
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AZURE_OPENAI_EMBEDDING_MODEL: azureOpenAIEmbeddingModel
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AZURE_OPENAI_EMBEDDING_MODEL_NAME: azureOpenAIEmbeddingModelName
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AZURE_OPENAI_EMBEDDING_MODEL_VERSION: azureOpenAIEmbeddingModelVersion
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AZURE_OPENAI_RESOURCE: azureOpenAIResourceName
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AZURE_OPENAI_API_VERSION: azureOpenAIApiVersion
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AZURE_SEARCH_INDEX: azureSearchIndex
@@ -973,11 +997,11 @@ module storage 'core/storage/storage-account.bicep' = {
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name: 'Standard_GRS'
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}
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deleteRetentionPolicy: azureSearchUseIntegratedVectorization
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? {
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enabled: true
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days: 7
979-
}
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: {}
1000+
? {
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enabled: true
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days: 7
1003+
}
1004+
: {}
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containers: [
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{
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name: blobContainerName
@@ -1078,6 +1102,7 @@ output AZURE_KEY_VAULT_ENDPOINT string = useKeyVault ? keyvault.outputs.endpoint
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output AZURE_KEY_VAULT_NAME string = useKeyVault || authType == 'rbac' ? keyvault.outputs.name : ''
10791103
output AZURE_LOCATION string = location
10801104
output AZURE_OPENAI_MODEL_NAME string = azureOpenAIModelName
1105+
output AZURE_OPENAI_MODEL_VERSION string = azureOpenAIModelVersion
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output AZURE_OPENAI_STREAM string = azureOpenAIStream
10821107
output AZURE_OPENAI_SYSTEM_MESSAGE string = azureOpenAISystemMessage
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output AZURE_OPENAI_STOP_SEQUENCE string = azureOpenAIStopSequence
@@ -1086,8 +1111,8 @@ output AZURE_OPENAI_TOP_P string = azureOpenAITopP
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output AZURE_OPENAI_TEMPERATURE string = azureOpenAITemperature
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output AZURE_OPENAI_API_VERSION string = azureOpenAIApiVersion
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output AZURE_OPENAI_RESOURCE string = azureOpenAIResourceName
1089-
output AZURE_OPENAI_EMBEDDING_MODEL string = azureOpenAIEmbeddingModel
1090-
output AZURE_OPENAI_MODEL string = azureOpenAIModel
1114+
output AZURE_OPENAI_EMBEDDING_MODEL_NAME string = azureOpenAIEmbeddingModelName
1115+
output AZURE_OPENAI_EMBEDDING_MODEL_VERSION string = azureOpenAIEmbeddingModelVersion
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output AZURE_OPENAI_API_KEY string = useKeyVault ? storekeys.outputs.OPENAI_KEY_NAME : ''
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output AZURE_RESOURCE_GROUP string = rgName
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output AZURE_SEARCH_KEY string = useKeyVault ? storekeys.outputs.SEARCH_KEY_NAME : ''
@@ -1116,16 +1141,16 @@ output DOCUMENT_PROCESSING_QUEUE_NAME string = queueName
11161141
output ORCHESTRATION_STRATEGY string = orchestrationStrategy
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output USE_KEY_VAULT bool = useKeyVault
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output FRONTEND_WEBSITE_NAME string = hostingModel == 'code'
1119-
? web.outputs.FRONTEND_API_URI
1120-
: web_docker.outputs.FRONTEND_API_URI
1144+
? web.outputs.FRONTEND_API_URI
1145+
: web_docker.outputs.FRONTEND_API_URI
11211146
output ADMIN_WEBSITE_NAME string = hostingModel == 'code'
1122-
? adminweb.outputs.WEBSITE_ADMIN_URI
1123-
: adminweb_docker.outputs.WEBSITE_ADMIN_URI
1147+
? adminweb.outputs.WEBSITE_ADMIN_URI
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: adminweb_docker.outputs.WEBSITE_ADMIN_URI
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output LOGLEVEL string = logLevel
11251150
output CONVERSATION_FLOW string = conversationFlow
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output USE_ADVANCED_IMAGE_PROCESSING bool = useAdvancedImageProcessing
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output ADVANCED_IMAGE_PROCESSING_MAX_IMAGES int = advancedImageProcessingMaxImages
11281153
output AZURE_ML_WORKSPACE_NAME string = orchestrationStrategy == 'prompt_flow'
1129-
? machineLearning.outputs.workspaceName
1130-
: ''
1154+
? machineLearning.outputs.workspaceName
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: ''
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output RESOURCE_TOKEN string = resourceToken

‎infra/main.bicepparam‎

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@@ -33,6 +33,8 @@ param azureOpenAIVisionModelVersion = readEnvironmentVariable('AZURE_OPENAI_VISI
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param azureOpenAIVisionModelCapacity = int(readEnvironmentVariable('AZURE_OPENAI_VISION_MODEL_CAPACITY', '10'))
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param azureOpenAIEmbeddingModelCapacity = int(readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY', '30'))
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param azureOpenAIEmbeddingModel = readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL', 'text-embedding-ada-002')
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param azureOpenAIEmbeddingModelName = readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL_NAME', 'text-embedding-ada-002')
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param azureOpenAIEmbeddingModelVersion = readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL_VERSION', '2')
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param azureOpenAIMaxTokens = readEnvironmentVariable('AZURE_OPENAI_MAX_TOKENS', '1000')
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param azureOpenAITemperature = readEnvironmentVariable('AZURE_OPENAI_TEMPERATURE', '0')
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param azureOpenAITopP = readEnvironmentVariable('AZURE_OPENAI_TOP_P', '1')

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