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[email protected]andClaude Opus 4.6
b59a0b9e42
Add CodeAct execution (Tier 1) using the Monty embedded Python interpreter, following the Recursive Language Model (RLM) pattern from arXiv:2512.24601. Key additions: - executor/scripting.rs: Monty integration with FunctionCall-based tool dispatch, catch_unwind panic safety, resource limits (30s, 64MB, 1M allocs) - LlmResponse::Code variant + ExecutionTier::Scripting - Context-as-variables (RLM 3.4): thread messages, goal, step_number, previous_results injected as Python variables — LLM context stays lean while code accesses data selectively - llm_query(prompt, context) (RLM 3.5): recursive subagent calls from within Python code — results stored as variables, not injected into parent's attention window (symbolic composition) - Compact output metadata between code steps instead of full stdout - MontyObject ↔ serde_json::Value bidirectional conversion - Updated architecture plan with RLM design principles 74 tests passing, zero clippy warnings. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
15 lines
399 B
Rust
15 lines
399 B
Rust
//! Step execution.
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//!
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//! - [`ExecutionLoop`] — core loop replacing `run_agentic_loop()`
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//! - [`structured`] — Tier 0 action execution (structured tool calls)
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//! - [`context`] — context building for LLM calls
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//! - [`intent`] — tool intent nudge detection
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pub mod context;
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pub mod intent;
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pub mod loop_engine;
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pub mod scripting;
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pub mod structured;
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pub use loop_engine::ExecutionLoop;
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