soma-core 2.0.0

World's first production-ready self-aware development system with meta-cognitive capabilities and cognitive reasoning engine for intelligent development platforms
Documentation 
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// Claude CognitiveAgent implementation for symbolic feedback loop
// All comments in English (US) per coding_guidelines.md

use super::gpt4_agent::{CognitiveAgent, ExecutionTrace, Insight, ProposedEdit};
use crate::dag::Node;
use crate::memory::SymbolicContext;

/// Example Claude agent implementation
pub struct ClaudeAgent;

impl CognitiveAgent for ClaudeAgent {
    fn propose_edit(&self, ctx: &SymbolicContext) -> ProposedEdit {
        // Claude focuses on code clarity and architectural improvements
        let task = ctx.resolve_or_default("current_task", "general improvement");

        if task.contains("readability") {
            ProposedEdit {
                file: "src/types.rs".to_string(),
                line_range: (15, 20),
                new_code: "// Claude: Improved struct with clear documentation\n/// Represents a cognitive agent with enhanced capabilities\n#[derive(Debug, Clone)]\npub struct CognitiveAgent {\n    /// Unique identifier for the agent\n    pub id: String,\n}".to_string(),
                reason: "Improved code readability with comprehensive documentation".to_string(),
                confidence: 0.94,
            }
        } else if task.contains("architecture") {
            ProposedEdit {
                file: "src/dag.rs".to_string(),
                line_range: (25, 30),
                new_code: "// Claude: Modular design pattern implementation\ntrait NodeProcessor {\n    fn process(&self, node: &Node) -> Result<ProcessResult, Error>;\n}\n\npub struct DefaultProcessor;".to_string(),
                reason: "Architectural improvement using trait-based design patterns".to_string(),
                confidence: 0.91,
            }
        } else {
            ProposedEdit {
                file: "src/ops.rs".to_string(),
                line_range: (20, 22),
                new_code: "// Claude: Refactored for better separation of concerns\n/// Handles symbolic operations with clear responsibility separation\npub mod symbolic_ops {".to_string(),
                reason: "Improved code organization and separation of concerns".to_string(),
                confidence: 0.89,
            }
        }
    }

    fn reason_about_code(&self, file: &str, lines: &[String]) -> Insight {
        Insight {
            summary: format!("Claude review of {} ({} lines)", file, lines.len()),
            details: "Looks good overall.".to_string(),
            confidence: 0.88,
        }
    }

    fn simulate(&self, phase: &str, dag: &[Node]) -> Vec<ExecutionTrace> {
        dag.iter()
            .map(|node| ExecutionTrace {
                phase: phase.to_string(),
                node_id: node.id.clone(),
                result: "ok".to_string(),
            })
            .collect()
    }
}