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//! Public in-process runtime for embedding Everruns.
//!
//! The runtime crate exposes an in-memory execution surface that runs the same
//! core atoms (`input`, `reason`, `act`) used elsewhere in the system, but
//! without the durable engine, gRPC worker boundary, or control-plane server.
//! It is part of the [Everruns](https://everruns.com) ecosystem.
//!
//! This is the intended public entrypoint for embedders who want to:
//!
//! - run sessions in their own process
//! - provide their own platform definition (capabilities, drivers, harnesses)
//! - seed harnesses, agents, sessions, and workspace files directly in code
//! - replace the default in-memory stores with custom runtime backends
//! - inspect the assembled turn context before or after executing a turn
//! - reuse runtime-owned host phase execution from durable or server-backed hosts
//! - map `plan_next_host_turn(...)` onto their own queue, retry, or in-memory host
//!
//! For a runnable example, see:
//!
//! ```text
//! cargo run -p everruns-runtime --example in_process_runtime
//! cargo run -p everruns-runtime --example inspect_context
//! ```
//!
//! # Example
//!
//! ```ignore
//! use everruns_core::{
//! CapabilityRegistry, DriverRegistry, InputMessage, LlmProviderType, ModelWithProvider,
//! PlatformDefinition,
//! };
//! use everruns_core::capabilities::TestMathCapability;
//! use everruns_runtime::InProcessRuntimeBuilder;
//!
//! let mut capabilities = CapabilityRegistry::new();
//! capabilities.register(TestMathCapability);
//!
//! let platform = PlatformDefinition::new(capabilities, DriverRegistry::new());
//!
//! let runtime = InProcessRuntimeBuilder::new()
//! .platform_definition(platform)
//! .single_session(|s| {
//! s.harness("math", "You are a calculator.")
//! .harness_display_name("Math")
//! .with_capability("test_math")
//! .agent("math-agent", "Use tools when needed.")
//! .agent_display_name("Math Agent")
//! .agent_max_iterations(8)
//! .session_title("Math Session")
//! })
//! .llm_sim(everruns_core::llmsim_driver::LlmSimConfig::fixed("4"))
//! .default_model(ModelWithProvider {
//! model: "llmsim-model".into(),
//! provider_type: LlmProviderType::LlmSim,
//! api_key: Some("fake-key".into()),
//! base_url: None,
//! })
//! .build()
//! .await?;
//!
//! let session_id = runtime.default_session_id().expect("single_session id");
//! let result = runtime
//! .run_turn(
//! session_id,
//! InputMessage::user("What is 2 + 2?"),
//! )
//! .await?;
//! assert!(result.success);
//! # Ok::<(), everruns_core::AgentLoopError>(())
//! ```
//!
//! # Real-disk workspace
//!
//! Embedders who want built-in capabilities (`file_system`,
//! `agent_instructions`, `skills`, ...) to read and write a real directory
//! on disk can configure [`RealDiskSessionFileSystemFactory`] on their
//! [`PlatformDefinition`](everruns_core::PlatformDefinition). Every capability that goes through
//! `ToolContext.file_store` or `SystemPromptContext.file_store` picks it up
//! automatically.
//!
//! See the runnable examples for the full wiring:
//!
//! ```text
//! cargo run -p everruns-runtime --example real_disk_agent_instructions
//! cargo run -p everruns-runtime --example real_disk_file_system_tools
//! ```
//!
//! And `specs/file-store.md` for the trait contract.
pub use ;
pub use ;
pub use AssembledTurnContext;
pub use ;
pub use ;
pub use ;
pub use ;
pub use ;
pub use ;