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/tools/sandbox/wasm.rs
//! WASM sandbox backend.
//!
//! Provides code execution within a WebAssembly runtime for lightweight isolation.
//! This backend requires the `sandbox-wasm` feature gate.
//!
//! # Feature Gate
//!
//! Enable in `Cargo.toml`:
//! ```toml
//! langchainrust = { features = ["sandbox-wasm"] }
//! ```
//!
//! # TODO
//!
//! This is a stub implementation. The actual WASM sandbox integration requires:
//! - A WASM runtime (e.g., `wasmtime`, `wasmer`, or `wasm3`)
//! - Pre-compiled WASM modules for each supported language
//! - Sandboxed memory and I/O handling
//! - Resource limits (memory, CPU, filesystem access)

use async_trait::async_trait;

use super::{CodeSandbox, Language, RunResult, SandboxError};

/// WASM-based sandbox backend.
///
/// Executes code within a WebAssembly runtime for lightweight process isolation.
/// Currently a stub — the actual WASM runtime integration is not yet implemented.
pub struct WasmSandbox {
    /// Maximum memory in bytes available to the WASM module.
    max_memory_bytes: u64,
}

impl WasmSandbox {
    /// Create a new WASM sandbox with default settings.
    pub fn new() -> Self {
        Self {
            max_memory_bytes: 64 * 1024 * 1024, // 64 MB default
        }
    }

    /// Set the maximum memory available to the WASM module.
    pub fn with_max_memory(mut self, bytes: u64) -> Self {
        self.max_memory_bytes = bytes;
        self
    }
}

impl Default for WasmSandbox {
    fn default() -> Self {
        Self::new()
    }
}

#[async_trait]
impl CodeSandbox for WasmSandbox {
    async fn run(&self, code: &str, language: Language, timeout_ms: u64) -> Result<RunResult, SandboxError> {
        // TODO: Implement actual WASM sandbox execution.
        //
        // Steps:
        // 1. Select the appropriate WASM module for the language:
        //    - Python: Pyodide or RustPython compiled to WASM
        //    - JavaScript: QuickJS or SpiderMonkey compiled to WASM
        //    - Rust: Compile to WASM via rustc, then execute
        // 2. Instantiate the WASM module with resource limits:
        //    - max_memory: self.max_memory_bytes
        //    - timeout: timeout_ms
        // 3. Execute the code within the WASM instance
        // 4. Capture stdout/stderr from the WASM module
        // 5. Return the result
        //
        // For now, return an error indicating this is not yet implemented.
        let _ = (code, language, timeout_ms);
        Err(SandboxError::Runtime(
            "WASM sandbox backend is not yet implemented. \
             This is a stub behind the `sandbox-wasm` feature gate. \
             Contributions welcome!"
                .to_string(),
        ))
    }
}