terraphim/terraphim-ai/terraphim-rlm

use terraphim_rlm::{TerraphimRlm, RlmConfig};
 
let config = RlmConfig::default();
let rlm = TerraphimRlm::new(config).await?;
 
let session = rlm.create_session().await?;
let result = rlm.execute_code(&session.id, "print('Hello, RLM!')").await?;
let result = rlm.execute_command(&session.id, "ls -la").await?;

// Create session
let session = rlm.create_session().await?;
 
// Set context variables (accessible via FINAL_VAR in code)
rlm.set_context_variable(&session.id, "MY_VAR", "value")?;
 
// Get context
let value = rlm.get_context_variable(&session.id, "MY_VAR")?;
 
// Extend session duration
let extended = rlm.extend_session(&session.id)?;
 
// Destroy session
rlm.destroy_session(&session.id).await?;

// Execute Python
let result = rlm.execute_code(&session.id, "print('hello')").await?;
 
// Execute bash command
let result = rlm.execute_command(&session.id, "echo $HOME").await?;
 
// Full RLM query loop (LLM → parse → execute → feedback)
let query_result = rlm.query(&session.id, "Calculate fibonacci").await?;

// Create snapshot (rollback point)
let snapshot = rlm.create_snapshot(&session.id, "checkpoint_1").await?;
 
// Restore to snapshot
rlm.restore_snapshot(&session.id, "checkpoint_1").await?;
 
// List snapshots
let snapshots = rlm.list_snapshots(&session.id).await?;

let config = RlmConfig::minimal(); // For testing with mock executor
 
// Or with custom settings
let config = RlmConfig {
    token_budget: 100_000,
    time_budget_ms: 300_000,
    max_recursion_depth: 10,
    backend_preference: vec![BackendType::Local], // Force local
    ..Default::default()
};