azure-ai-language-conversations-py

What problem does it solve?

Enable Python applications to understand conversational input by extracting intents and entities from user utterances, removing the manual effort of parsing and mapping free-text user requests into actionable intents.

Core Features & Use Cases

• Use ConversationAnalysisClient with AzureKeyCredential to authenticate and analyze conversation payloads for intent detection and entity extraction.
• Best practices for building the conversationItem payload, mapping participantId and id, and safely managing endpoint and key via environment variables.
• Use Case: Integrate into a bot or assistant to route messages to the correct handler, populate email drafts from natural language requests, or extract task details from chat transcripts.

Quick Start

Use the skill to analyze the message "Send an email to Carol about tomorrow's meeting" and return the top intent and any extracted entities.