Feature Request: Ability to Save Azure OpenAI Chat/Playground Conversations

Question

Feature Request: Ability to Save Azure OpenAI Chat/Playground Conversations

Ram 0

I'm currently exploring Azure OpenAI Chat (within Azure OpenAI Studio), and I've noticed my chat conversations vanish after closing or refreshing the browser tab, which causes loss of valuable insights and useful historical conversation context. Are there any existing plans or is this feature already on your product roadmap—to automatically save conversations within the Azure OpenAI Studio or provide users with easy built-in storage and retrieval functionality? If this feature is not already planned, could you please advise:

How can I formally request or suggest this feature officially to Azure OpenAI's product or engineering teams?
Is there a public-facing feature request platform, feedback channel, or roadmap repository where users like me could vote for or support similar suggested features? Thanks in advance for your guidance!

Manas Mohanty 5,620 Microsoft External Staff Moderator

Hi Ram

We have noticed that you rated an answer as not helpful. We appreciate your feedback and are committed to improving your experience with the Q&A.

Wanted to clarify that Azure OpenAI has Stored completions support to save all inputs and outputs from chat completion calls in "Stored completion tab" as mentioned in below screenshot through SDK.

Screenshot of the stored completions User Experience.

We need to use "store=True" param in our client SDK to save the inputs and outputs from completion calls. But it is not accessible from playground yet.

import os
from openai import AzureOpenAI
    
client = AzureOpenAI(
    api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
    api_version="2025-02-01-preview",
    azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
    )

completion = client.chat.completions.create(
    
    model="gpt-4o", # replace with model deployment name
    store= True,
    metadata =  {
    "user": "admin",
    "category": "docs-test",
  },
    messages=[
    {"role": "system", "content": "Provide a clear and concise summary of the technical content, highlighting key concepts and their relationships. Focus on the main ideas and practical implications."},
    {"role": "user", "content": "Ensemble methods combine multiple machine learning models to create a more robust and accurate predictor. Common techniques include bagging (training models on random subsets of data), boosting (sequentially training models to correct previous errors), and stacking (using a meta-model to combine base model predictions). Random Forests, a popular bagging method, create multiple decision trees using random feature subsets. Gradient Boosting builds trees sequentially, with each tree focusing on correcting the errors of previous trees. These methods often achieve better performance than single models by reducing overfitting and variance while capturing different aspects of the data."}
    ]   
)

print(completion.choices[0].message)

Yes, we can post this idea on Azure Cognitive Services - OpenAI feedback channel to enable this on UI playground.

Please let us know if this workaround addresses your requirement

Thank you.

Manas Mohanty 5,620 Reputation points Microsoft External Staff Moderator

2025-04-23T08:34:28.85+00:00

Hi Ram

We are waiting to hear your inputs on the workaround shared above to save chat history.

Thank you.
Prashanth Veeragoni 4,930 Reputation points Microsoft External Staff Moderator

2025-04-24T16:25:40.8033333+00:00

Hi Ram,

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet.

Thank you!

1 answer

Your answer

Manas Mohanty 5,620 Reputation points Microsoft External Staff Moderator

2025-04-23T08:34:28.85+00:00

Hi Ram

We are waiting to hear your inputs on the workaround shared above to save chat history.

Thank you.
Prashanth Veeragoni 4,930 Reputation points Microsoft External Staff Moderator

2025-04-24T16:25:40.8033333+00:00

Hi Ram,

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet.

Thank you!

Answer 1

Hi Ram,

As of now, Azure OpenAI Studio (Chat/Playground) does not persist chat history after a session ends (e.g., on page refresh or tab close). There isn't a built-in feature yet for saving or retrieving chat history across sessions—which makes your feature request very relevant.

Current Status (as of now):

· Chat history is session-based only and will be lost upon refresh or browser close.

· No official built-in history saving or retrieval capability is exposed in Azure OpenAI Studio (unlike OpenAI’s ChatGPT interface, which saves history).

But you can try below workarounds:

If you want to preserve your conversation:

· Manually copy-paste and save important conversations into a document or note.

· Use browser extensions that auto-save form/chat history.

· Develop a custom frontend using Azure OpenAI's API where you can log chats in a database or local storage.

To Submit a Feature Request:

Azure Feedback Portal (Official):

You can submit and track features here: https://feedback.azure.com

Search for similar requests like “Save Chat History in Playground”.

If already exists, upvote and comment.

If not, create a new request with clear title and your use case.

Hope this helps. Do let us know if you any further queries.

If this answers your query, do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.

Thank you!

Saideep Anchuri 9,425 Reputation points Microsoft External Staff Moderator

2025-04-18T16:28:13.32+00:00

Hi Ram,

Following up to see if the above answer was helpful.

Thank you.
Saideep Anchuri 9,425 Reputation points Microsoft External Staff Moderator

2025-04-21T15:37:14.0466667+00:00

Hi Ram,

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet.

Thank You.

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Feature Request: Ability to Save Azure OpenAI Chat/Playground Conversations

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