Evaluate whether a goal has been achieved given current state
(
llm: &Arc<dyn LlmClient>,
goal: &AgentGoal,
current_state: &str,
)
| 122 | |
| 123 | /// Evaluate whether a goal has been achieved given current state |
| 124 | pub async fn check_achievement( |
| 125 | llm: &Arc<dyn LlmClient>, |
| 126 | goal: &AgentGoal, |
| 127 | current_state: &str, |
| 128 | ) -> Result<AchievementResult> { |
| 129 | let system = crate::prompts::LLM_GOAL_CHECK_SYSTEM; |
| 130 | |
| 131 | let user_message = format!( |
| 132 | "Goal: {}\nSuccess Criteria: {}\nCurrent State: {}", |
| 133 | goal.description, |
| 134 | goal.success_criteria.join("; "), |
| 135 | current_state, |
| 136 | ); |
| 137 | |
| 138 | let messages = vec![Message::user(&user_message)]; |
| 139 | let response = llm |
| 140 | .complete(&messages, Some(system), &[]) |
| 141 | .await |
| 142 | .context("LLM call failed during achievement check")?; |
| 143 | |
| 144 | let text = response.text(); |
| 145 | Self::parse_achievement_response(&text) |
| 146 | } |
| 147 | |
| 148 | /// Create a fallback plan using heuristic logic (no LLM required) |
| 149 | pub fn fallback_plan(prompt: &str) -> ExecutionPlan { |