Parlant is a conversation modeling engine designed to provide predictable and controllable interactions for AI agents, particularly in customer-facing applications. It targets developers and data scientists building LLM-based chat agents who require strict adherence to business protocols, brand guidelines, or regulated industry requirements, offering a structured alternative to prompt engineering or rigid flow engines.

How It Works

Parlant employs a "Conversation Modeling" approach, defining agent behavior through structured, domain-specific principles and actions. Its engine evaluates conversational context against these managed guidelines, leveraging self-critique mechanisms to ensure responses precisely align with intended behavior. This structured approach aims to overcome the inconsistency of free-form prompting and the inflexibility of traditional flow engines.

Quick Start & Requirements

• Install: pip install parlant
• Run: parlant-server run
• Access UI: http://localhost:8800
• Dependencies: Python, major LLM providers (OpenAI, Gemini, Llama 3, Anthropic) supported.
• Documentation: https://parlant.emcie.co/
• Tutorial: https://parlant.emcie.co/tutorial

Highlighted Details

• Supports major LLM providers including OpenAI, Azure, Gemini, Llama 3, and Anthropic.
• Features built-in session management, incoherence detection, content filtering, and jailbreak protection.
• Offers a sandbox UI for behavioral testing and native API clients in Python and TypeScript.
• Enables granular guideline management with contradiction detection for improved maintainability and explainability.

Maintenance & Community

• Community support available via Discord: https://discord.gg/Q248z3f9
• Contribution guidelines follow the Linux-standard Developer Certificate of Origin (DCO).

Licensing & Compatibility

• Licensed under the Apache 2.0 license.
• Compatible with commercial use and closed-source linking.

Limitations & Caveats

The project is actively seeking contributors and formalizing processes, suggesting it may still be in an early stage of development or community building.