objectiveai 0.1.4

//! Ensemble LLM definitions and configuration.
//!
//! An **Ensemble LLM** is a fully-specified configuration of a single upstream
//! language model. It encapsulates:
//!
//! - Model identity (which LLM to use)
//! - Prompt structure (prefix/suffix messages)
//! - Decoding parameters (temperature, top_p, etc.)
//! - Provider preferences and routing
//! - Output mode, reasoning settings, and verbosity
//!
//! # Content-Addressed Identity
//!
//! Ensemble LLMs use **content-addressed identifiers** - their ID is derived
//! deterministically from their full definition using XXHash3-128. This ensures:
//!
//! - Two identical definitions always produce the same ID
//! - IDs can be computed anywhere (server, client, browser via WASM)
//! - No hidden mutation or "latest version" ambiguity
//!
//! # Normalization
//!
//! Before computing an ID, definitions are normalized via [`EnsembleLlmBase::prepare`]:
//!
//! - Default values are removed (e.g., `temperature: 1.0` becomes `None`)
//! - Empty collections are removed
//! - Collections are sorted for deterministic ordering
//!
//! # Example
//!
//! ```ignore
//! use objectiveai::ensemble_llm::{EnsembleLlmBase, EnsembleLlm, OutputMode};
//!
//! let base = EnsembleLlmBase {
//!     model: "gpt-4".to_string(),
//!     output_mode: OutputMode::Instruction,
//!     temperature: Some(0.7),
//!     // ... other fields
//! };
//!
//! let llm: EnsembleLlm = base.try_into()?;
//! println!("ID: {}", llm.id); // Deterministic content-addressed ID
//! ```

mod ensemble_llm;
mod output_mode;
mod provider;
mod reasoning;
pub mod response;
mod stop;
mod verbosity;

pub use ensemble_llm::*;
pub use output_mode::*;
pub use provider::*;
pub use reasoning::*;
pub use stop::*;
pub use verbosity::*;

#[cfg(feature = "http")]
mod http;

#[cfg(feature = "http")]
pub use http::*;