Accessing Microsoft Copilot Studio Conversation Transcripts at Runtime: A Technical Deep Dive

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Introduction

Microsoft Copilot Studio enables developers to build AI-powered chatbots with seamless integration into business workflows. One critical feature is accessing live conversation transcripts during runtime for analytics, compliance, and CRM integration. This article explores how to retrieve real-time transcripts using the Direct Line API, providing step-by-step technical guidance.

Learning Objectives

  • Understand the role of the Direct Line API in fetching conversation history.
  • Implement a solution to capture and store transcripts dynamically.
  • Apply transcripts to agent handoff, CRM logging, and analytics.

1. Direct Line API Setup

Command:

curl -X POST https://directline.botframework.com/v3/directline/conversations \ 
-H "Authorization: Bearer YOUR_SECRET_KEY"

Steps:

  1. Obtain your Direct Line secret key from the Azure Bot Service.
  2. Use the above `curl` command to initiate a conversation session.
  3. Store the `conversationId` from the response for subsequent requests.

Purpose: Establishes a WebSocket connection to stream conversation data in real time.

2. Fetching Transcripts During Runtime

Command (Python):

import requests

url = f"https://directline.botframework.com/v3/directline/conversations/{conversationId}/activities" 
headers = {"Authorization": "Bearer YOUR_SECRET_KEY"} 
response = requests.get(url, headers=headers) 
transcript = response.json()["activities"]

Steps:

  1. Replace `conversationId` with the ID from Step 1.
  2. This retrieves all messages exchanged in the session.
  3. Parse the JSON response to extract user/bot interactions.

Use Case: Log transcripts to Dataverse or trigger Power Automate flows for CRM updates.

3. Handling PII and Sensitive Data

PowerShell Command:

 Redact sensitive info using Azure AI Language 
Invoke-RestMethod -Uri "https://[bash].cognitiveservices.azure.com/language/analyze-text/jobs" \ 
-Method POST -Headers @{"Ocp-Apim-Subscription-Key"="YOUR_KEY"} \ 
-Body (@{text=$transcript; analysisType="PII"} | ConvertTo-Json)

Steps:

  1. Integrate Azure AI Language’s PII detection to redact emails/phone numbers.
  2. Automate redaction before storing transcripts in SharePoint or SQL.

4. Exporting Transcripts to PDF

Power Automate Snippet:

  1. Use the “Create PDF” action with the transcript JSON.
  2. Trigger the flow when the conversation ends (isActivityEnd=true).

Pro Tip: Add a user option to email the transcript post-chat.

5. Real-Time Analytics with Azure Monitor

KQL Query (Azure Log Analytics):

BotFrameworkActivity 
| where timestamp > ago(1h) 
| summarize count() by bin(timestamp, 5m), userMessage

Steps:

1. Route Direct Line logs to Azure Monitor.

  1. Track metrics like user intent frequency or unresolved queries.

What Undercode Say

  • Key Takeaway 1: The Direct Line API unlocks end-to-end transparency for AI conversations, critical for compliance.
  • Key Takeaway 2: Combining transcripts with Azure AI PII tools mitigates data privacy risks.

Analysis:

Live transcript access transforms Copilot Studio from a chatbot tool into an enterprise-grade solution. By integrating with Power Platform and Azure services, businesses gain actionable insights while maintaining security. Future updates may introduce native transcript storage, but the current API approach offers flexibility for custom workflows.

Prediction

Expect Microsoft to native transcript APIs in 2024, reducing dependency on Direct Line. Meanwhile, developers should leverage this method to build audit trails and AI training datasets from live interactions.

Tags: CopilotStudio DirectLineAPI AzureAI PowerPlatform DataPrivacy

IT/Security Reporter URL:

Reported By: Remidyon Copilotstudio – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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