Method parse_pre_analysis_response

core/src/planning/llm_planner.rs:251–304

(text: &str, original_prompt: &str)

    }

    fn parse_pre_analysis_response(text: &str, original_prompt: &str) -> Result<PreAnalysis> {
        let parsed: PreAnalysisResponse = Self::parse_json_lenient(text)
            .context("Failed to parse pre-analysis JSON from LLM response")?;

        let intent = match parsed.intent.to_lowercase().as_str() {
            "plan" => crate::prompts::AgentStyle::Plan,
            "explore" => crate::prompts::AgentStyle::Explore,
            "verification" => crate::prompts::AgentStyle::Verification,
            "codereview" | "code review" => crate::prompts::AgentStyle::CodeReview,
            _ => crate::prompts::AgentStyle::GeneralPurpose,
        };

        let goal_description = parsed.goal.description.clone();
        let goal =
            AgentGoal::new(goal_description.clone()).with_criteria(parsed.goal.success_criteria);

        let complexity = match parsed.execution_plan.complexity.as_str() {
            "Simple" => Complexity::Simple,
            "Medium" => Complexity::Medium,
            "Complex" => Complexity::Complex,
            "VeryComplex" => Complexity::VeryComplex,
            _ => Complexity::Medium,
        };

        let mut plan = ExecutionPlan::new(goal_description, complexity);
        for step_resp in parsed.execution_plan.steps {
            let mut task = Task::new(step_resp.id, step_resp.description);
            if let Some(tool) = step_resp.tool {
                task = task.with_tool(tool);
            }
            if !step_resp.dependencies.is_empty() {
                task = task.with_dependencies(step_resp.dependencies);
            }
            if let Some(criteria) = step_resp.success_criteria {
                task = task.with_success_criteria(criteria);
            }
            plan.add_step(task);
        }
        for tool in parsed.execution_plan.required_tools {
            plan.add_required_tool(tool);
        }

        Ok(PreAnalysis {
            intent,
            requires_planning: parsed.requires_planning,
            goal,
            execution_plan: plan,
            optimized_input: if parsed.optimized_input.is_empty() {
                original_prompt.to_string()
            } else {
                parsed.optimized_input
            },
        })
    }

    // ========================================================================
    // JSON parsing helpers