swarm-engine-llm 0.1.6

//! LLM Integration Module
//!
//! Action selection and batch inference using lightweight LLMs
//!
//! # Module Structure
//!
//! - `decider`: LLM Decider trait and related types
//! - `ollama`: Ollama backend (HTTP API)
//! - `invoker`: BatchInvoker implementation (LLM batch calls)
//! - `prompt_builder`: ResolvedContext → prompt generation
//! - `registry`: Model registry
//! - `response_parser`: LLM response parsing and repair (shared module)
//!
//! # Design Approach
//!
//! ## BatchInvoker System (for Manager)
//!
//! ManagerAgent batch processing is implemented in the following layers:
//!
//! ```text
//! Core Layer
//! ├── ManagerAgent trait (prepare / finalize)
//! ├── DefaultBatchManagerAgent   ← Core layer default implementation
//! ├── ContextStore / ContextView ← Normalized context
//! └── ContextResolver            ← Scope resolution
//!
//! LLM Layer
//! ├── PromptBuilder              ← ResolvedContext → prompt
//! └── BatchInvoker implementations ← LLM batch calls
//!     └── LlmBatchInvoker
//! ```
//!
//! ManagerAgent implementation uses Core layer's `DefaultBatchManagerAgent`.
//! LLM layer provides `PromptBuilder` (prompt generation) and `BatchInvoker` (LLM calls).

pub mod batch_processor;
pub mod debug_channel;
pub mod decider;
pub mod invoker;
pub mod json_prompt;
pub mod llama_cpp_server;
pub mod ollama;
pub mod prompt_builder;
pub mod registry;
pub mod response_parser;
pub mod strategy_advisor;

#[cfg(feature = "llama-cpp")]
pub mod llama_cpp_standalone;

pub use llama_cpp_server::{ChatTemplate, LlamaCppServerConfig, LlamaCppServerDecider};
#[cfg(feature = "llama-cpp")]
pub use llama_cpp_standalone::{LlamaCppStandaloneConfig, LlamaCppStandaloneDecider};

pub use batch_processor::{
    BatchProcessError, BatchProcessResult, BatchProcessor, LlmBatchProcessor,
    LlmBatchProcessorConfig,
};
pub use debug_channel::{LlmDebugChannel, LlmDebugEvent, StderrLlmSubscriber};
pub use decider::{
    DecisionResponse, LlmDecider, LlmDeciderConfig, LlmError, LoraConfig, WorkerDecisionRequest,
};
pub use invoker::{create_llm_invoker, LlmBatchInvoker};
pub use ollama::{OllamaConfig, OllamaDecider};
pub use prompt_builder::PromptBuilder;
pub use registry::{ModelInfo, ModelRegistry, RegistryError};
pub use strategy_advisor::{
    parse_selection_kind_fuzzy, LlmStrategyAdvisor, SelectionKind, StrategyAdvice,
    StrategyAdviceError, StrategyAdvisor, StrategyContext, StrategyPromptBuilder,
    StrategyResponseParser,
};