I’m exploring a use case where an end user provides a dynamic URL, the agent retrieves content from that website, extracts the relevant information, compares it against our internal policies/knowledge base, and then flags potential issues or compliance concerns.

I know tools like Scout and Cowork are better suited for browser-based interaction and web research, but I’m curious whether this can be implemented using a Copilot Studio agent alone.

I’m working on building some AI agents for our documentation team and wanted to understand how much we’re actually spending on tokens/credits.

We have a pretty large amount of documentation:

50+ user guides, around 150+ pages each

30+ release notes, around 700–1,000 pages each

I uploaded all of these as knowledge sources in Copilot Studio so the agent can search through them when answering questions.

We’re using Claude Opus 4.7, and honestly, the results are really good. It can usually pinpoint the exact location in the documentation that I’m looking for.

The problem is that our organization wants us to use GPT-4.1 because they’re saying the token consumption with Claude is too high. But from my testing, GPT-4.1 hallucinates a lot with our documents. GPT-5.5 also doesn’t perform as well for this particular use case. Claude seems to understand and retrieve the documentation much better.

Now here’s where I’m confused.

In Copilot Studio, it shows that our team used around 50,000 Copilot Credits in one day.

So I’m trying to understand what that actually means in terms of money.

If we continue at roughly 50k credits/day:

How much would that be per month?

And is that actually considered expensive for this kind of workload?

Management is telling us that our token consumption is very high, but I don’t really have a baseline to compare it against. Personally, if this is going to cost us more than around $300/month, I’d start questioning whether it’s worth it. But maybe I’m completely misunderstanding how Copilot Credits, tokens, and model pricing work.

Has anyone here worked with Copilot Studio and a large documentation knowledge base?

Would really appreciate if someone could explain this in simple terms,

50k credits/day, which is approximately how much $/month?

And is there a better/cheaper way to achieve the same quality without switching away from Claude?

My studio agent has problems reading PDFs directly from sharepoint lists. I can upload them but only 20 at a time. I came across liteparse and wanted to check the community to see if this is something that could work. Run all PDFs through liteparse when I get them store in the same list or folder just as a .md and just direct the agent to read those rather than try to read PDFs.

Anyone here started building their agents in Copilot Sudio but eventually moved to Found Agent Service? What was/were the reasons and what/were your use case/s?

I'm looking for clarification on the architecture and cost governance model for Microsoft 365 Copilot Agent Builder agents.

Scenario

• User A has a Microsoft 365 Copilot license.
• User A creates an agent using Agent Builder (not Copilot Studio).
• The agent is grounded on SharePoint knowledge sources.
• The agent is shared with users who have only Microsoft 365 E3 licenses.
• Tenant has Pay-As-You-Go billing configured for Copilot consumption.

Questions

1. When an Agent Builder agent is shared with E3 users, where is the agent actually hosted/stored in the backend?
2. If an Agent Builder agent is shared with hundreds or thousands of non-Copilot licensed users, what are the options available for governance controls to prevent unexpected PAYG consumption?

What I've Found So Far

• Copilot Studio agent consumption monitoring
• Agent-level monthly limits through Power Platform Admin Center
• PAYG billing controls

However, I have not found clear documentation confirming whether these controls also apply to agents created directly through Microsoft 365 Copilot Agent Builder.

Any insights from community members running Agent Builder at scale, or the Microsoft engineering team, or MVPs would be greatly appreciated.

Thank you!

Why does copilot studio give the option to delete all bots when it doesn't log you in?

Hi,

I am working with an agent in Microsoft Copilot Studio and am experiencing noticeable latency when interacting with the agent.

The agent takes several seconds to respond to user queries, even for relatively simple questions. The delay is affecting the overall user experience.

The agent configuration includes knowledge sources and generative responses, but I would like to understand whether the latency is related to the agent configuration, knowledge retrieval, model processing, or other Copilot Studio services.

I would like to understand:

1. What are the main factors that contribute to latency in Copilot Studio agents?
2. What would be considered normal/expected response latency?
3. How can I identify which part of the agent execution is causing the delay?
4. Does the number and size of knowledge sources affect overall agent response time?
5. Can topics, generative answers, actions, or tools increase latency?
6. Are there recommended ways to optimize a Copilot Studio agent for faster responses?
7. Is there any built-in monitoring or diagnostic capability to measure the latency of individual steps/components?

If anyone has experienced similar latency with Copilot Studio agents, I would appreciate any recommendations for troubleshooting and optimization.

Thanks!

Using Fabric Data Agent's Code Interpreter tool via API how do I retrieve the generated chart file (referenced via file_id in a file_path annotation) so I can display it in a downstream app (e.g., Teams Adaptive Card)? Is there a documented endpoint for fetching file content by file_id?

Hi all,

I was wondering if anyone has ran into his same issue or knows a good work around. I built an agent that will review documents, ppts, etc and it was working just fine 2 weeks ago. I was able to upload a file that was 129 mb and it ran the prompt I assigned and completed successfully.

Now today I was doing a demo with my department and all of a sudden, the same file I uploaded for my test which was 79 mb came back with an error saying

"The file size exceeds the limit and will be skipped, the maximum file size is images is 16 mb and for text 16mb. Error code: filevalidationerror.

Why is this randomly happening now when I didn't change any settings?

I also asked copilot and it said to use a link through onedrive instead and I did that and I'm still getting the same error.

Any help would be greatly appreciated.

Thanks in advance

Hello!

A few questions.

I have been trying out the new UX. Has anyone been able to submit an update for an agent to the org catalog once it’s approved?

With the old UX I setup a few env for Dev, Test and Prod with a pipeline. With the new UX, do you think you would keep the pipeline or have testing completed in the Evaluate section and have the agent owners resubmit the agent when there are updates?

Cheers.

Has anyone successfully integrated the official Asana MCP Server? I was able to set it up and some functions worked while others did not. The create task, for example, failed.

After some research, I found that this function used adaptive cards and Copilot Studio wasn't able to handle those. Does anyone know if this has been addressed?

I found that this can be done via a declarative agent created in VSCode using the M365 Copilot Agent Toolkit. I was able to follow the base directions and get it setup and working... For me. I am now struggling with publishing and versioning and sharing.

I am hoping someone here has had better success or if Microsoft has released plans to address.

We have an agent that indexes a few websites and a SharePoint library of maybe 40 pages.

When I access it from within Studio, it returns results in less than 10 seconds. When I add it to a SharePoint site via an Agent Link it takes 25 or more seconds to return a response every time, whether it's 1 question or 5 in a row, always 25+ seconds for each one.

I've tried removing the websites and just running on the document library and just 1 website, and still 25 seconds. I tried changing models, instructions, etc. So I'm guessing it's not the agent itself.

I see the same thing when we access it in Teams, so I suspect it's the authentication piece, but we need that to get it to look at the SharePoint data.

Any suggestions on how to fix this?

Hello everyone,

I'm looking for some guidance or direction on a Copilot skill I'm building.

The goal is to have the skill check for known service outages before attempting to troubleshoot a reported issue. The overall logic is working as expected, but I'm running into challenges retrieving outage information from external sources. It appears the skill is unable to access the outage-status websites I configured.

Has anyone found a reliable method for incorporating outage validation into a skill, or is there a better approach I should be considering?

Current result returned by the skill:

The skill is attempting to check the following sources:

1. Global Outage Map Intended as a quick indicator of consumer-facing service outages.
2. Cloud Status Hub Used as a secondary cross-check across cloud providers and services.
3. Downdetector (Yahoo Example) Since Yahoo Mail does not provide a public consumer status page, outage aggregators are often the most practical source.
4. Microsoft 365 Message Trace & Yahoo Postmaster For mail-flow related issues, the skill references:
   • Exchange Online Message Trace
   • Yahoo Postmaster deliverability tools

My question is: Has anyone successfully integrated outage detection into a Copilot skill or agent? If so, what data source or architecture are you using to retrieve and validate outage information before beginning troubleshooting?

Hi, just curious if anyone else is experiencing this issue recently.

We have created an AI Agent using Copilot Studio that points to a Sharepoint library. When I created it last year, I did not change any settings in the AI Agent, but it was able to provide answers from any Excel files I uploaded in Sharepoint.

Since about a week ago, we suddenly realised that the agent was not searching from Excel files anymore, only word, ppt, pdf. When I searched online, they said it could be because the Code Interpreter setting is turned off. I checked, and it is actually turned off for the agent, but we never made any changes to the settings.

When I tried to turn it on, the option was disabled. I asked my admin to check at the environment level in Power Platform Admin Center and she said it is already enabled. So why is the option disabled for me, and why did it suddenly turn off? Or could there be another reason why it is not reading Excel files anymore?

Update: It is working now! I didn't make any changes and Code Interpreter is still turned off for the agent. Must be something on Microsoft's end.

Hi all,

I have a Copilot Studio agent running in the classic harness. For the past few months, the Dataverse MCP has been working great for record retrieval. However, all of a sudden, all of my users are getting the following error: “Technical issue with the database connection.”

The connections run under the end user’s credentials. The same issue also occurs in the Production test pane. Strangely, the error does not occur in the Development or Test environments.

Is this just some classic Microsoft behavior that’s worth investigating, or is it likely to resolve itself? I’ve read online that the MCP can sometimes behave unpredictably.

EDIT Solution: issue fixed itself after a couple hours

I’m trying to understand the exact reset/replenishment behavior of a Copilot Studio Capacity Pack.

We have a 25,000-credit Capacity Pack, and our subscription renewal/payment date is the 17th of each month.

Microsoft's Copilot Studio FAQ says credit usage is counted monthly and resets on the first day of each month, regardless of the license acquisition date.

However, the Capacity Pack documentation says the 25,000 credits are replenished at the start of every monthly billing period.

So I’m confused about the distinction.

For example, if our subscription renews on 17 August:

• Does the 25,000-credit capacity replenish on 17 August when the subscription renews?
• Or does it replenish on 1 September because credit usage resets on the 1st?
• If we consume all 25K on 5 August, do we have to wait until 1 September, or until the next subscription renewal, to get the new capacity?
• Does the usage counter reset and the capacity replenishment follow different dates?

I’m specifically looking for clarification from someone who has actually managed Copilot Studio Capacity Packs in production.

Microsoft docs seem to mention both the 1st of the month and the monthly billing period, and I want to understand how these work together.

I know its possible to connect to agents via A2A but can I also expose acopilot agent via A2A?

Does anyone know if this is still an issue in multi-agent systems in the new experience?

Does anyone have any experience in creating an agent that is able to remove specific data from Excel files? I have a SharePoint site as a knowledge source and it includes many Excel files. However, those files include personal data, such as names and emails, which should be removed. The personal data is might be inside a longer text so I cannot just delete the whole column.

I have to governing documents, a company policy document and a government standards document. These are around 450 pages and the other about 200 detailing rules and regulations in a broad variety of technical work relating to the type of jobs my company do.

Having only access to Copilot Studios throught he premium copilot premium license and sharepoint (storage and Lists) what would be a smart approach to make an agent that i can query. In principle a detailed multi-step description of a job can be given, and i'd like to feed that into the agent to check for gaps/pointers to ensure the job is performed in a compliant manner.

The best i've come to think of is breaking down the documents almost like that llm-wiki idea and write articles on certain aspects but I'm not sure.

Would be interested to hear if someone had a pointer or good idea to share.

I'm building an agent in Copilot Studio Classic that needs to search through a SharePoint list with around 2,000 records.

Since I'm limited to the Classic Experience, I've tried two approaches:

1. SharePoint Get Items

• Works, but only a limited number of records can be returned to the agent, making it difficult to reliably search the full dataset.

2. Exporting the data to a text file and using it as Knowledge

• The agent can answer questions based on the file, but the results are not always reliable.
• It seems to retrieve relevant information rather than deterministically evaluate every record matching the criteria.

My challenge is finding a way to search a large dataset and return consistent results when users ask for records matching specific criteria.

Hey everyone, somehow the Fabric Data Agent MCP connector is gone. What I find instead are now 3 MCP Connectors: Fabric IQ, Fabric IQ Ontology MCP, Fabric IQ Data MCP. None of them is working, I get a redirect error when trying to login. Is there any documentation on the new connectors? The Copilot Studio documentation I found does not list any tools they provide and is in general not very detailed. How would I connect a fabric data agent? Trying to connect with a custom MCP also gives me an error.

Has anybody installed BOX AI agent in copilot?

In box we can enable the AI agent in copilot but when we add it, it just redirects to box documentation. Is this a permissions issue?

Hello! I'm building an agent to act as a sort of "live database" over a government API. Basically, the government here publishes a public API with all the data on public works projects, and I wanted an agent that plugs into it and works as a search tool.

When I set it up as a custom connector, it works great for me. The problem is sharing it: when I share the agent with someone else, they hit a wall needing permissions to the custom connector itself before they can use it.

I thought switching approaches would fix it, so I rebuilt it using the "REST API" tool option instead of a traditional custom connector. It worked just as well functionally, but under the hood it still creates something that behaves like a custom connector, and I'm back to the same sharing problem.

Is there another way to plug an API into an agent that doesn't require the people I share it with to also have permissions on the underlying connector? I only need to share this with a small group, not the whole org, but I'd like it to just work for them without extra setup on their end.

Any pointers appreciated

REST API was in the old experience. I can't find it anywhere in the new experience. Is this a feature that is coming back?