emcie-co/parlant

Features

• Agent Orchestration Frameworks - Builds conversational agents that enforce behavioral guidelines, manage interaction flows, and integrate external tools.
• Agentic Workflow Engines - Executes state-based conversational journeys and triggers custom logic based on real-time user intent and context.
• Stateful Agent Orchestration - Provides a framework for building conversational agents that enforce behavioral guidelines and manage multi-turn state transitions.
• Agentic Workflow Automation - Orchestrates complex, hierarchical conversational flows that adapt and revisit steps based on real-time user input.
• Conversational AI Platforms - Provides a toolkit for orchestrating multi-turn interactions, defining domain terminology, and auditing agent reasoning.
• Conversational Lifecycle Managers - Orchestrates the flow of communication between interfaces and language models to ensure agent behavior remains focused and auditable.
• Behavioral Guideline Configuration - Establishes rules that trigger based on conversational context to maintain consistent agent behavior and adherence to constraints.
• Agent Observability - Provides built-in reasoning audits and decision tracing to monitor and troubleshoot autonomous agent behavior.
• Agent Tool Definitions - Allows developers to create executable functions that enable agents to perform specific actions and retrieve external data.
• Model Provider Integrations - Provides a unified interface to integrate with external or local AI providers for generating conversational responses.
• Instruction Injections - Embeds custom behavioral guidelines and project context into AI-bound data to ensure consistent agent responses.
• Conversation Management Systems - Manages multi-turn standard operating procedures that allow agents to adapt, skip, or revisit steps based on user interaction.
• Conversation State Managers - Orchestrates multi-turn interactions using state diagrams that allow dynamic adjustment of conversational steps.
• Context-Aware Chat Interfaces - Integrates conversational agents into frontends with session state management and dynamic data injection for personalized experiences.
• Reasoning Transparency Interfaces - Exposes transparent reasoning paths generated during message composition to help troubleshoot agent decisions.
• External Tool Integrations - Connects conversational agents to third-party functions and data sources to perform complex actions or retrieve information.
• Agent Execution Tracing - Logs every guideline match and decision process using telemetry to provide visibility into agent actions.
• Context Injection Frameworks - Populates response templates with real-time variables and tool results to ensure outputs remain grounded in current context.
• Conversation State Management - Detects specific states or intents within a conversation to trigger conditional logic or manage agent information.
• Structured Output Enforcements - Restricts agent output to pre-approved templates during critical interactions to eliminate hallucinations.
• Tool Access Constraints - Limits function access to specific scenarios by associating tools with behavioral guidelines to prevent irrelevant or premature execution.
• Reasoning Audit Logs - Logs internal decision paths and guideline matches to provide visibility into how agents arrive at specific responses.
• Contextual Execution Triggers - Provides conditional execution logic that triggers external workflows only when specific conversational states or requirements are satisfied.
• Instructional Prompting - Assigns criticality levels to behavioral rules to dictate how strictly an agent must adhere to specific instructions.
• Response Generation Configurations - Adjusts the reliance on canned responses versus generative output to balance fluid recommendations with strict templates.
• Output Templating Engines - Forces language models to select from pre-approved response structures to ensure brand alignment and prevent hallucinations.
• Session State Management - Retrieves unique session identifiers and updates conversation status to maintain state consistency throughout interactions.
• Result-Driven Logic Reevaluations - Reevaluates conversation guidelines and observations based on tool outputs to dynamically adjust agent behavior.
• Flow Modularization - Organizes complex conversational logic into nested, reusable components to simplify task management.
• Chat Event Handlers - Triggers custom logic and external integrations automatically when specific guidelines are matched or messages are sent.
• User Input Elicitation - Prompts users to clarify requests when input is unclear to ensure the agent selects the correct action.
• Tool Execution Interceptors - Intercepts and validates tool calls before execution to ensure safe and accurate external function invocation.
• Event-Driven Hooks - Executes custom logic and external integrations at specific points in the interaction lifecycle to handle side effects.
• Terminology Definitions - Maps business terms and colloquialisms to precise definitions to ensure accurate interpretation of industry-specific language.
• Agentic Argument Validations - Guides agents to extract and validate specific arguments by providing metadata, examples, and constraints for accurate function calls.
• Side Effect Handlers - Executes custom logic or external integrations at specific points in a journey using pre-response and post-response hooks.
• Embedded Interfaces - Supports integrating native client components into frontends to provide users with a direct interface for interacting with agents.
• Guideline Constraint Configurations - Configures logical constraints between agent guidelines to enforce precedence and conditional activation.
• Response Streaming Interfaces - Delivers text to the user incrementally as it is generated to reduce perceived wait times.

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