feat(phases4,7,8): implement Agent/ReAct, Code Execution, and Prompt Server
Completes Phase 4 (Agentic Loop with ReAct), Phase 7 (Code Execution), and Phase 8 (Prompt Server) as specified in the implementation plan. **Phase 4: Agentic Loop with ReAct Pattern (agent.rs - 398 lines)** - Complete AgentExecutor with reasoning loop - LlmResponse enum: ToolCall, FinalAnswer, Reasoning - ReAct parser supporting THOUGHT/ACTION/ACTION_INPUT/FINAL_ANSWER - Tool discovery and execution integration - AgentResult with iteration tracking and message history - Integration with owlen-agent CLI binary and TUI **Phase 7: Code Execution with Docker Sandboxing** *Sandbox Module (sandbox.rs - 255 lines):* - Docker-based execution using bollard - Resource limits: 512MB memory, 50% CPU - Network isolation (no network access) - Timeout handling (30s default) - Container auto-cleanup - Support for Rust, Node.js, Python environments *Tool Suite (tools.rs - 410 lines):* - CompileProjectTool: Build projects with auto-detection - RunTestsTool: Execute test suites with optional filters - FormatCodeTool: Run formatters (rustfmt/prettier/black) - LintCodeTool: Run linters (clippy/eslint/pylint) - All tools support check-only and auto-fix modes *MCP Server (lib.rs - 183 lines):* - Full JSON-RPC protocol implementation - Tool registry with dynamic dispatch - Initialize/tools/list/tools/call support **Phase 8: Prompt Server with YAML & Handlebars** *Prompt Server (lib.rs - 405 lines):* - YAML-based template storage in ~/.config/owlen/prompts/ - Handlebars 6.0 template engine integration - PromptTemplate with metadata (name, version, mode, description) - Four MCP tools: - get_prompt: Retrieve template by name - render_prompt: Render with Handlebars variables - list_prompts: List all available templates - reload_prompts: Hot-reload from disk *Default Templates:* - chat_mode_system.yaml: ReAct prompt for chat mode - code_mode_system.yaml: ReAct prompt with code tools **Configuration & Integration:** - Added Agent module to owlen-core - Updated owlen-agent binary to use new AgentExecutor API - Updated TUI to integrate with agent result structure - Added error handling for Agent variant **Dependencies Added:** - bollard 0.17 (Docker API) - handlebars 6.0 (templating) - serde_yaml 0.9 (YAML parsing) - tempfile 3.0 (temporary directories) - uuid 1.0 with v4 feature **Tests:** - mode_tool_filter.rs: Tool filtering by mode - prompt_server.rs: Prompt management tests - Sandbox tests (Docker-dependent, marked #[ignore]) All code compiles successfully and follows project conventions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -2815,7 +2815,6 @@ impl ChatApp {
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model: self.controller.selected_model().to_string(),
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temperature: Some(0.7),
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max_tokens: None,
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max_tool_calls: 20,
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};
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// Get the provider
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@@ -2834,18 +2833,18 @@ impl ChatApp {
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};
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// Create agent executor
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let executor = AgentExecutor::new(provider, mcp_client, config, None);
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let executor = AgentExecutor::new(provider, mcp_client, config);
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// Run agent
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match executor.run(user_message).await {
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Ok(answer) => {
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Ok(result) => {
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self.controller
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.conversation_mut()
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.push_assistant_message(answer);
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.push_assistant_message(result.answer);
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self.agent_running = false;
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self.agent_mode = false;
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self.agent_actions = None;
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self.status = "Agent completed successfully".to_string();
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self.status = format!("Agent completed in {} iterations", result.iterations);
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self.stop_loading_animation();
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Ok(())
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}
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