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parlant

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Basic Information

Parlant is an open source framework for building production-grade LLM agents that follow explicit rules and behave predictably in real user conversations. The README positions Parlant as a toolkit for developers to define natural-language guidelines instead of relying solely on system prompts, and it claims guaranteed rule compliance to reduce hallucinations and inconsistent behavior. The project provides a Python SDK with a server abstraction, a decorator-based tool interface, and APIs for creating agents and dynamic guidelines. The repo emphasizes enterprise readiness with built-in guardrails, explainability, conversation analytics, and integrations with external APIs and databases. Quickstart instructions show installation via pip and a minimal example creating an agent, registering tools, and adding guidelines so developers can run a dev server and test with a provided React chat widget. The project is Apache 2.0 licensed and maintained by Emcie with community channels for support.

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App URL
https://github.com/emcie-co/parlant
Github Repository
https://github.com/emcie-co/parlant/blob/main/README.md

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App Details

Features
Parlant highlights a set of developer-facing features focused on reliable agent behavior and production use. It supports natural-language guidelines that the agent matches dynamically to drive actions and tool usage. The SDK includes a server context, an agent creation API, a tool decorator pattern for registering external functionality, and a guideline creation API to encode conditional behavior. Enterprise-grade capabilities named in the README include conversational journeys to guide multi-step flows, built-in guardrails to prevent hallucinations and off-topic replies, integrated conversation analytics and explainability to trace decisions, and a drop-in React chat widget for web apps. The project also stresses reliable tool integration with APIs and databases and iterative refinement workflows so teams can tune rules and monitor agent performance.
Use Cases
Parlant is useful for teams who need dependable conversational agents in regulated or user-facing domains. By shifting from brittle system prompts to explicit, testable guidelines, it reduces the risk of unpredictable behavior and hallucinations and helps enforce compliance and domain-specific policies. The framework eases productionization by offering server tooling, a simple SDK, a UI widget for quick testing, and analytics for monitoring agent decisions. Organizations in financial services, healthcare, e-commerce and legal tech can use Parlant to encode risk management and privacy controls, audit agent actions with explainability, and integrate external APIs and databases for reliable responses. The README positions Parlant as a way to scale agent behavior by adding rules, improve developer productivity by avoiding prompt engineering, and accelerate deployment with community support and documentation.

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