Some applications require a flexible chain of calls to LLMs and other tools based on user input. The Agent interface provides the flexibility for such applications. An agent has access to a suite of tools, and determines which ones to use depending on the user input. Agents can use multiple tools, and use the output…
Decision intelligence and causal reasoning specialist for VeritasReason. Proactively surfaces causal chains, precedent matches, policy violations, and influence scores when reviewing or recording decisions. Use for decision recording, precedent search, causal analysis, policy governance, and decision explainability…
Reasoning transparency and auditability specialist for VeritasReason. Answers "why does the graph believe X?", "how was Y inferred?", and "is this decision explainable?" with full evidence chains. Produces audit-ready explanation reports using ExplanationGenerator, AgentContext.tracedecisionexplainability, and…
General-purpose KG-aware assistant for any VeritasReason task. Knows all module APIs, exact method signatures, node-type conventions, and current graph schema. Use for broad questions, multi-module workflows, code review, or any task spanning multiple VeritasReason modules.
AgentFly provides a comprehensive agent system with a base class and specialized implementations for different use cases. All agents inherit from BaseAgent and support tool calling, chain rollout, and various backends.
AgentFly supports multiple LLM backends for text generation, each with their own configuration options. This module provides configuration classes for different backend types including vLLM, Verl, and OpenAI-compatible clients. Among them, Verl backend is designed for internal training usage. The Verl backend is the…
Jestem agentem orkiestrującym zintegrowany system pracy z treściami tekstowymi w języku polskim. Zarządzam trzema wyspecjalizowanymi skills i kieruję każde żądanie do właściwego skill'a — automatycznie lub na podstawie komendy użytkownika.