After I create the codespace, I am being presented with an authorizatin dialog over and over again.

Hello Azure team,

Thanks for this good repo!

I am facing a small issue during the installation.

I am very close to run it.

Any idea how could it be fixed?

Required to successfully run evaluate-chat-prompt-flow.ipynb

Creating Custom Connection (contoso-cosmos)

1. Visit https://ml.azure.com instead
2. Under Recent Workspaces, click project (contoso-chat-aiproj)
3. Select Prompt flow (sidebar), then Connections (tab)
4. Click Create and select Custom from dropdown
5. Name: contoso-cosmos
6. Provider: Custom (default)
7. Key-value pairs: Add 4 entries (get env var values from .env)
8. key: key, value: "COSMOS_KEY", check "is secret"
   1. key: endpoint, value: "COSMOS_ENDPOINT"
   2. key: containerId, value: customers
   3. key: databaseId, value: contoso-outdoor
   4. Click Save to complete step.

I tried deploying to 1 instance and to 3 and get the same error every time. Also tried selecting a different instance types. Also tried deploying in ML Studio instead of AI Studio.

Environment promptflow_a80*************************ab is not registered

There's a link in the log pointing here.

But I haven't figured out how to "register" the environment.
I can see the environment it refers to in ML Studio -> contoso-chat-aiproj -> Environments. It says "build failed". If I click the "Rebuild" button there, it rebuilds without error. But when I try to deploy the Prompt Flow, I always get the same error.

Here's the error message from ml.azure.com (I redacted part of my environment name in the two spots its shown):

Execution failed. User process 'python' exited with status code 1. Please check log file 'user_logs/std_log.txt' for error details. Error: Traceback (most recent call last):
  File "prepare.py", line 26, in <module>
    build_local_environment(args.name, args.version, args.platform)
  File "prepare.py", line 15, in build_local_environment
    environment.build_local(workspace, platform, useDocker=True, pushImageToWorkspaceAcr=True)
  File "/azureml-envs/image-build/lib/python3.8/site-packages/azureml/core/environment.py", line 1549, in build_local
    raise UserErrorException("Environment '{}' is not registered".format(self.name))
azureml.exceptions._azureml_exception.UserErrorException: UserErrorException:
	Message: Environment 'promptflow_a80*************************ab' is not registered
	InnerException None
	ErrorResponse 
{
    "error": {
        "code": "UserError",
        "message": "Environment 'promptflow_a80*************************ab' is not registered"
    }
}

Also these two warnings (redacted by Azure, not me):

AzureMLCompute job failed
ExecutionFailed: [REDACTED]
	exit_codes: 1
	Appinsights Reachable: Some(true)

Serverless job failed.

Here's what I see in the ML Studio notifications:

Also, I've been assuming that when I deploy the Prompt Flow, I do not have to use 3 instances? I've tried with 1 and with 3 and I get the same error with the same exact "not registered" environment in both cases.

Thank you!

• Testing works following the Readme, Codespaces is the priority
• Make sure azd works in Codespaces (flag to fix if not)
• We have verification step in README after the resources are deployed, there is a description of what the customer needs to do next
• Ensure managed identity is implemented and working
• If local doesn't work, we need a note in the README (make this explicit)

Nice to have (but document if not working)

• runs local

Must have two testers approval, minimum.

I tried setting up the project using azd up and I noticed that the endpointName var is not set correctly. This is because azd hooks only run in sh or pwsh and $RANDOM does not exist in sh.

Code reference

As a workaround, I've added my own random_number generator which does similar.

random_number=$(od -An -N2 -i /dev/urandom | awk '{print $1}')

It looks like the prompt flow cannot fetch products based on the chat history. For instance, if I asked for rain jackets, it would suggest a few. But if I ask "Can you suggest more?", then it provides random products without considering the chat history.

The following checklist must be complete before a template is published.

Repository Management

• Standards compliant README.md as the one in the example, is in place
• License is in place. Make sure you choose the correct license
• Security guidelines are in place
• Contribution guidelines are in place
• Code of conduct is in place
• Issue template is in place
• Language, model, and relevant technology topic labels are added, including azd-templates and ai-azd-templates (The latter is being created)
• Repo description is in place, describing the use case and technologies used in the solution

Source code structure and conventions

• GitHub Actions (This refers to .github/workflows/azure-dev.yml or custom workflow to run on a GitHub runner) is in place
• DevContainer (/.devcontainer folder where applicable) configuration is in place
• Infrastructure as code is in place (/infra folder where applicable, manifest files or code generators in the case of Aspire and similar )
• Azure services configuration (/azure.yml file) is in place
• Minimum coverage tests are in place

Functional requirements

• azd up successfully provisions and deploys a functional app
• GitHub Actions run tasks without errors
• DevContainer has been tested locally and runs
• Codespaces run [locally and in browser]
• All tests pass

In the absence of e2e tests,

• The application has been manually tested to work as per the requirement

Security requirements

• Microsoft Managed Identity is implemented
• microsoft/security-devops-action is integrated to the CI/CD pipeline and the analyzer were ran

When a service selected doesn't support Managed Identity, the corresponding issue must have been reported and the security considerations section in the readme, should clearly explain the alternatives.

• Azure Key Vault is a preferred alternative

The following items are not strictly enforced but may prevent the template from being added to the gallery.

Project code follows standard structure, per language. Please check one.

• Yes, follows standards
• No, doesn't follow standards

Code follows recommended style guide

• Yes, follows style guide
• No, doesn't follow style guide

In step "7. Evaluating prompt flow results", the cell with the contents pf_azure_client.stream(base_run) fails with an error. The error message in the Notebook is:

(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
(Run status is 'NotStarted', continue streaming...)
The run '2024_02_02_235111chat_base_run' is in status 'NotStarted' for 5 minutes, streaming is stopped.Please make sure you are using the latest runtime.
======= Run Summary =======
Run name: "2024_02_02_235111chat_base_run"
Run status: "NotStarted"
Start time: "None"
Duration: "None"
Run url: [REDACTED]

Checking the Run URL in AI Studio, the following error appears in promptflow-automatic.log:

Error       Failed to provision Automatic runtime, id: 4bdd38a060a1f0887395eafff8895f61bbc62444bc318e0f, error code: ValidationError/ValidationError, message: [docker.io/sethjuarez/contoso-store:v20240124.1] is not a valid name for an ACR image with tag specified.

I get the following error: InvalidRunStatusError: The input for batch run is incorrect. Input from key 'run.outputs' is an empty list, which means we cannot generate a single line input for the flow run. Please rectify the input and try again.

when I run this cell pf_azure_client.stream(eval_run_variant)

Can anyone tell me what I am missing?

1. Default for Cosmos DB is Provisioned throughput. Serverless should be much cheaper for this sample program.
2. Default for Prompt Flow deployment is 3 instances. Would 1 work? What about different instance types?

Question
If I create a new Cosmos DB using Serverless, can I swap it out with my current provisioned DB? Can I just create a new connection for it in Azure and update .env in the Codespace.
Or I could start over with the updated repo and edit the bicep file section for Cosmos DB, but that seems like a lot more work.

Though the readme is quite good, it would be great if the manual can be shared.

Please ping me when this is added.

to improve SEO update from "No description, website, or topics provided." to something more meaningful.

Nicely written sample, you might want to make it easier for people to find it.

When running the "evaluate-chat-prompt-flow.ipynb" notebook in codespaces I get the following error..
Has something changed in this cell? I forked the latest version of the repo...

If you run the provision.sh script once, delete the created resource group, and then attempt to run it a second time you will get an error message like this:

[{"code":"ConflictError","message":"A vault with the same name already exists in deleted state. You need to either recover or purge existing key vault. Follow this link https://go.microsoft.com/fwlink/?linkid=2149745 for more information on soft delete."}]}}

To redeploy, you will first need to purge the deleted keyvault with a command like:

az keyvault purge --name kv-contosooipsaukqmp24o --location swedencentral

or search for "Key Vaults" in the Azure Portal and then click on "Manage Deleted Vaults" to purge it.

Section 4.5 of README.md suggests that the prompt flow connections should have been created by ./provision.sh, but the output of pf connection list is empty.

The solution is as suggested, to open connections/create-connections.ipynb and run the notebook, which creates the required connections.

I was wondering there was example code in one of these Jupyter notebooks in this repo or another repo for how to test a prompt flow endpoint after deploying it? A Sample notebook that would include history from with multiple follow up questions.

Thanks in advance!

I fiiled .env file with correct key and endpoint values in Azure Portal.
But when I run all local PromptFlow, it fails at 'text embedding' step.
I think that is OAI endpoint problem.

I'm in MS AI Tour Seoul 2024 now
Thank you, staffs

I saw them yesterday, I'm sure. But now I don't see them. I don't know if it's an issue with the Sweden Central region or something else.

EDIT: After getting no hint of the problem anywhere else, I decided, like a cornered wild animal, to frantically click on every button I could find on ai.azure.com. I came across the "Explore" tab, where I found the "Model Catalog". There, I searched for gpt-35-turbo and found this:

I shall now continue clicking haphazardly until I can figure out whether its my subscription, or the region, that is preventing me from using this resource. Unless anyone has any tips. Thanks!

I came across some variables defined in the readme file, but I am unable to find them in the Azure portal. I have made several attempts to locate them but to no avail. Can you please suggest a way to help me out? The variables I'm looking for are SUPPORT_ENDPOINT, SUPPORT_KEY, CHAT_ENDPOINT, and CHAT_KEY which are mentioned in the .env file.

please help me !

Hi,

I haven't been able to provision the required resources for this project. I was approved to use OpenAI, but I wasn't able to increase the quota tokens even though I've submitted 2 requests to do so.

Below are the 2 requests I sent and the most recent error code I've received. The original error was for gpt-35-turbo, the current error is for GPT4.

@mroopram ➜ /workspaces/contoso-chat-mr (cc2e808) $ ./provision.sh
Running provisioning using this subscription:
{
  "name": "Azure subscription 1",
  "subscriptionId": "a36d451c-ca02-4072-b151-d92c51e3a9ed"
}
If that is not the correct subscription, please run 'az account set --subscription "<SUBSCRIPTION-NAME>"'
Creating resource group contchat-rg in swedencentral...
Provisioning resources in resource group contchat-rg...
ERROR: {"code": "InvalidTemplateDeployment", "message": "The template deployment 'contchat' is not valid according to the validation procedure. The tracking id is '70e2f569-cf28-4458-909e-7caaaaf19381'. See inner errors for details."}

Inner Errors: 
{"code": "InsufficientQuota", "message": "This operation require 10 new capacity in quota Tokens Per Minute (thousands) - GPT-4, which is bigger than the current available capacity 1. The current quota usage is 0 and the quota limit is 1 for quota Tokens Per Minute (thousands) - GPT-4."}
ERROR: Failed to provision resources. Please check the error message above.

run ./provision.sh on a fresh install and you get

The target scope "subscription" does not match the deployment scope "resourceGroup".

appears as though the fix is something like this on Line 21.

az deployment sub create --name contchat --location $resourceGroupLocation --only-show-errors --template-file infra/main.bicep > /dev/null

This needs to be updated to ask user to click on the "Manage" tab in Azure AI, then click on "Connections" on the left hand side bar.

fresh install running ./provision.sh

ERROR: {"code": "InvalidTemplate", "message": "Deployment template validation failed: 'The provided value for the template parameter 'environmentName' is not valid. Length of the value should be greater than or equal to '1'. Please see https://aka.ms/arm-syntax-parameters for usage details.'.", "additionalInfo": [{"type": "TemplateViolation", "info": {"lineNumber": 14, "linePosition": 20, "path": "properties.template.parameters.environmentName.minLength"}}]}
ERROR: Failed to provision resources. Please check the error message above.

I also had to change provision.sh to overcome Issue 79: #79

Hello,

I'm on this step: https://nitya.github.io/contoso-chat/02%20%7C%20Workshop/05%20%7C%20Setup%20Promptflow/11-populate-index/ and when I click on "Select Kernel" in the top right hand corner icon, nothing happens. Theres no Kernel available. Is there a way to fix this or some kind of workaround?

I got 401 errors when running the flow in Azure AI Studio, triggered in question_embedding and I think in llm_response. I had to change their connection values to Default_AzureOpenAI to get them to work.

But in my Codespace, the aoai-connection worked.

Azure Developer CLI Template Guidelines

These requirements are for samples that are using azd for deployment.

Code

Infra Folder

• Bicep Format - Bicep files should be formatted with bicep format. Can possibly be automated with pre-commit or GitHub actions.

• Core Modules - main.bicep should reference modules from core, copied from azure-dev.

  cp -r ../azure-dev/templates/common/infra/bicep/core/* infra/core/.

• Dashboard - Resources should include a dashboard so that azd monitor works, either by referencing the monitoring.bicep module or creating a dashboard separately. See main.bicep

• Monitoring - Application code should include either OpenCensus or OpenTelemetry so that the monitor is populated. See todo/app.py.

• Managed Identity - Application must use Managed Identity instead of keys wherever possible.

Elsewhere

• AZD Telemetry - azure.yaml should include metadata for telemetry including version number. See azure.yaml

• Service Source - In azure.yaml, the project property for each service should point at a subfolder, not at root (.). Typically the subfolder is labeled src but that may vary. See azure.yaml

• azd Pipeline Config - .github/workflows should include azure-dev.yaml to support azd pipeline config.

• Devcontainer - .devcontainer should contain a devcontainer.json and Dockerfile/docker-compose.yaml in order to create a full local dev environment. Start with azure-dev versions and modify as needed. See docker-compose.yaml for example that includes a local database service.

• security-devops-action - The application must run microsoft/security-devops-action. Example

  • If unfamiliar with setting up GH Actions, then you can follow the instructions here: defender-for-cloud/quickstart-onboard-github

• ** Hook Scripts** - all hook scripts (pre-/post- provisioning and deployment scripts) shall include both sh and pwsh versions.

README.md

• Short Description - a must description should be included. Example

• Prerequisites - a Prerequisites section should be included. Example

• Architecture - an architecture diagram and description must be included. Example

• 'Open In __' buttons - must use same "Open in " buttons as the TODO samples. Example

• Cost Estimation - a Cost Estimation section should be included. Example

Publicizing

• Awesome AZD - Add the project to Awesome Azure Developer CLI. Instructions: Contributor Guide | Awesome Azure Developer CLI

• Learn Sample Browser - Onboard the project to the Learn Sample Browser. Instructions: Onboarding Samples to learn.microsoft.com/samples - Documentation contributor guide

  • Note: May need to request access here.

This repository is currently missing a LICENSE.MD file outlining its license. A license helps users understand how to use your project in a compliant manner. You can find the standard MIT license text at the Microsoft repo templates LICENSE file: https://github.com/microsoft/repo-templates/blob/main/shared/LICENSE.
If you would like to learn more about open source licenses, please visit the document at https://aka.ms/license.

The ´.env´ file suggests to only give the name of the created AI Search service - which is also needed by other code parts. Then, building the endpoint URL in the mentioned notebook fails. Suggest to change cell 3 in this notebook to (like it is already done in the other cells):

def delete_index(search_service: str, search_index: str, search_api_key: str):
    print(f"Deleting index {search_index} in {search_service}...")
    response = requests.delete(
        f"https://{search_service}.search.windows.net/indexes/{search_index}",
        headers={"api-key": search_api_key},
    )
    print(response.status_code)
    return response.status_code

When I run "azd up", I see that all services have been created successfully. However, I receive an error message afterwards. I have searched for a solution, but have not been successful. Can anyone provide me with any recommendations?
please help me.

(-) Skipped: Didn't find new changes.
<3>WSL (10) ERROR: CreateProcessParseCommon:711: Failed to translate D:\Workspace\contoso-chat
<3>WSL (10) ERROR: CreateProcessParseCommon:757: getpwuid(0) failed 2
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate d:\Workspace\contoso-chat.venv\Scripts
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Microsoft SDKs\Azure\CLI2\wbin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Java\jdk1.8.0_351\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Common Files\Oracle\Java\javapath
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files (x86)\Common Files\Oracle\Java\javapath
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\WINDOWS\system32
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\WINDOWS
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\WINDOWS\System32\Wbem
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\WINDOWS\System32\WindowsPowerShell\v1.0
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\WINDOWS\System32\OpenSSH
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate D:\download\apache-maven-3.8.7-bin\apache-maven-3.8.7\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\PostgreSQL\13\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Git\cmd
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Roaming\nvm
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\nodejs
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\PuTTY
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Java\scripts
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\MySQL\MySQL Server 8.0\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\Documents\cdk
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\RedHat\java-1.8.0-openjdk-1.8.0.372-1\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\RedHat\java-1.8.0-openjdk-1.8.0.372-1\jre\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Git\usr\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Python\Python39
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Python\Python39\Scripts
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Python\Python311
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Python\Python311\Scripts
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Amazon\AWSCLIV2
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\Downloads\sqlite3
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\Downloads\sqlite
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Docker\Docker\resources\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\dotnet
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\anaconda3
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\MongoDB\mongosh-2.2.2-win32-x64\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate D:\file\Release-24.02.0-0.zip\poppler-24.02.0\Library\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Gradle\gradle-7.0.2\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files (x86)\Microsoft SQL Server\160\Tools\Binn
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Microsoft SQL Server\160\Tools\Binn
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\Microsoft SQL Server\160\DTS\Binn
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files (x86)\Microsoft SQL Server\160\DTS\Binn
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\scoop\shims
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Python\Python39\Scripts
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Python\Python39
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\MySQL\MySQL Shell 8.0\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Microsoft\WindowsApps
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Roaming\npm
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Roaming\nvm
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\nodejs
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Microsoft VS Code\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\RedHat\Podman
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\mongosh
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Ollama
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Program Files\JetBrains\IntelliJ IDEA 2024.1\bin
<3>WSL (10) ERROR: UtilTranslatePathList:2866: Failed to translate C:\Users\dbhoang\AppData\Local\Programs\Azure Dev CLI
Processing fstab with mount -a failed.
Failed to mount C:, see dmesg for more details.
Failed to mount D:, see dmesg for more details.

<3>WSL (10) ERROR: CreateProcessEntryCommon:334: getpwuid(0) failed 2
<3>WSL (10) ERROR: CreateProcessEntryCommon:505: execvpe /bin/bash failed 2
<3>WSL (10) ERROR: CreateProcessEntryCommon:508: Create process not expected to return

ERROR: failed running post hooks: 'postprovision' hook failed with exit code: '1', Path: 'infra\hooks\postprovision.sh'. : exit code: 1

ERROR: error executing step command 'provision': failed running post hooks: 'postprovision' hook failed with exit code: '1', Path: 'infra\hooks\postprovision.sh'. : exit code: 1

There are important files that Microsoft projects should all have that are not present in this repository. A pull request has been opened to add the missing file(s). When the pr is merged this issue will be closed automatically.

Microsoft teams can learn more about this effort and share feedback within the open source guidance available internally.

Merge this pull request

Hi
I am trying to deploy the prompt flow to Azure AI Studio but when I run a test it indicates that the contoso-cosmos connection was not found, even though the connection is created, I attach the screen shots. Any idea how it can be solved?

I authenticated using az login --use-device-code in the previous cell successfully...

I'm running this locally in VS Code using a venv. When I try to run the flow through the visual editor, it fails with AttributeError: 'EntryPoints' object has no attribute 'get'

In the visual editor, I see that the question_embedding node shows an error: "Can't find tool promptflow.tools.embedding.embedding
The package may not be installed in your Python environment."

I can see an embeddings.py file in my venv folder:

Here's a screen shot of the error in the PF visual editor in VS Code

The error I get is: "InvalidRunStatusError: The input for batch run is incorrect. Input from key 'run.outputs' is an empty list, which means we cannot generate a single line input for the flow run. Please rectify the input and try again"

Log shows its running successfully until it starts the aml run step...

Get the below error when using push_and_deploy_pf.ipynb to deploy on the 'pf_azure_client.flows.create_or_update' step. Also notice the logs message is truncated so don't see full extent of what happened. Thoughts?

ResourceNotFoundError: (UserError) Please make sure that you are passing valid secret names and that the keyvault https://ainorthcentus/
Code: UserError
Message: Please make sure that you are passing valid secret names and that the keyvault https://ainorthcentus/

Get this error when running evaluate-chat-prompt-flow.ipynb, which points to the connection definition in AI Studio. Could a sample be provided to compare?

...
Reason: NotSupported ConnectionType 0 for connection contoso-cosmos. 
Error message: (UserError) NotSupported ConnectionType 0 for connection contoso-cosmos.
Code: UserError

Apparently the file ./provision.sh has been moved or replaced. How can I create azure resources now?

P.D. I was planning a pull request including a provision.ps1 so you don't need WSL to create azure resources. Would that make sense now?