Announcement
Parlant - Open-Source Engine for Predictable Agentic UX
Parlant is an open-source conversation modeling engine designed for building predictable and deliberate Agentic User Experiences. It allows developers to harness the power of large language models (LLMs) while maintaining control and reducing unpredictability, crucial for reliable agent behavior.
Project Introduction
Summary
Parlant is an open-source engine providing tools and frameworks to model and manage conversations for Agentic UX, ensuring predictable and controlled interactions with LLMs.
Problem Solved
Addresses the inherent unpredictability and lack of control often associated with using raw large language models in conversational applications, enabling the creation of reliable and deliberate AI agents.
Core Features
Explicit Conversation Modeling
Define and structure conversation flows explicitly, guiding the LLM's responses within predictable patterns.
Tool Integration
Integrate external tools and data sources seamlessly into the conversational flow for contextually relevant and accurate agent actions.
Tech Stack
Usage Scenarios
Parlant is ideal for scenarios requiring controlled, predictable, and deliberate conversational AI interactions, enabling the development of reliable AI agents across various domains.
Predictable Customer Service Agents
Details
Build a customer support agent that follows predefined scripts and escalation paths, ensuring consistent and compliant interactions while leveraging LLMs for natural language understanding.
User Value
Improved agent reliability, reduced training time, and enhanced customer satisfaction due to consistent responses.
Structured Educational AI
Details
Develop AI tutors or educational tools that guide users through structured learning modules with controlled responses and the ability to check for understanding at specific points.
User Value
More effective and reliable learning experiences with AI, ensuring key concepts are covered and student progress is tracked.
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