langchainrust 0.5.0

A LangChain-inspired framework for building LLM applications in Rust. Supports OpenAI, Agents, Tools, Memory, Chains, RAG, BM25, Hybrid Retrieval, LangGraph, HyDE, Reranking, MultiQuery, and native Function Calling.
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// src/agents/mod.rs
//! Agent system for building autonomous LLM applications.
//!
//! Provides core abstractions and implementations for agents.
//!
//! # Core Concepts
//!
//! - **Agent**: Responsible for planning, deciding what action to execute next.
//! - **AgentExecutor**: Responsible for execution loop (plan → act → observe).
//! - **Tool**: Callable tools that agents can invoke.
//!
//! # Execution Flow
//!
//! ```text
//! Input question
//!     ↓
//! Agent.plan() → AgentAction or AgentFinish
//!     ↓
//! If Action: execute tool → get observation
//!     ↓
//! Add to intermediate_steps
//!     ↓
//! Loop until AgentFinish returned
//! ```

pub mod adaptive_rag;
pub mod base;
pub mod crag;
pub mod deep_research;
pub mod function_calling;
pub mod handoffs;
pub mod plan_execute;
pub mod react;
pub mod streaming;
pub mod types;

pub use adaptive_rag::{AdaptiveRAG, AdaptiveRAGError, AdaptiveRAGResult, RagDecision};
pub use base::{AgentError, AgentExecutor, BaseAgent};
pub use crag::{CRAGError, CRAGResult, CorrectiveRAGAgent};
pub use deep_research::{Citation, DeepResearchAgent, ResearchError, ResearchReport};
pub use function_calling::FunctionCallingAgent;
pub use handoffs::HandoffManager;
pub use plan_execute::{PlanExecuteAgent, PlanExecuteError};
pub use react::ReActAgent;
pub use streaming::StreamingFunctionCallingAgent;
pub use types::{AgentAction, AgentFinish, AgentOutput, AgentStep, ToolInput};