Merge branch 'main' into micn/agent-tweaks
This commit is contained in:
@@ -1,6 +1,104 @@
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use anyhow::Result;
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use std::time::{Duration, Instant};
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/// Extract coach feedback by reading from the coach agent's specific log file
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/// Uses the coach agent's session ID to find the exact log file
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#[derive(Debug, Clone)]
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struct TurnMetrics {
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turn_number: usize,
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tokens_used: u32,
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wall_clock_time: Duration,
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}
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/// Generate a histogram showing tokens used and wall clock time per turn
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fn generate_turn_histogram(turn_metrics: &[TurnMetrics]) -> String {
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if turn_metrics.is_empty() {
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return " No turn data available".to_string();
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}
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let mut histogram = String::new();
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// Find max values for scaling
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let max_tokens = turn_metrics.iter().map(|t| t.tokens_used).max().unwrap_or(1);
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let max_time_ms = turn_metrics.iter()
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.map(|t| t.wall_clock_time.as_millis() as u32)
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.max()
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.unwrap_or(1);
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// Constants for histogram display
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const MAX_BAR_WIDTH: usize = 40;
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const TOKEN_CHAR: char = '█';
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const TIME_CHAR: char = '▓';
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histogram.push_str("\n📊 Per-Turn Performance Histogram:\n");
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histogram.push_str(&format!(" {} = Tokens Used (max: {})\n", TOKEN_CHAR, max_tokens));
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histogram.push_str(&format!(" {} = Wall Clock Time (max: {:.1}s)\n\n", TIME_CHAR, max_time_ms as f64 / 1000.0));
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for metrics in turn_metrics {
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let turn_time_ms = metrics.wall_clock_time.as_millis() as u32;
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// Calculate bar lengths (proportional to max values)
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let token_bar_len = if max_tokens > 0 {
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((metrics.tokens_used as f64 / max_tokens as f64) * MAX_BAR_WIDTH as f64) as usize
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} else {
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0
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};
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let time_bar_len = if max_time_ms > 0 {
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((turn_time_ms as f64 / max_time_ms as f64) * MAX_BAR_WIDTH as f64) as usize
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} else {
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0
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};
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// Format time duration
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let time_str = if turn_time_ms < 1000 {
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format!("{}ms", turn_time_ms)
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} else if turn_time_ms < 60_000 {
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format!("{:.1}s", turn_time_ms as f64 / 1000.0)
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} else {
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let minutes = turn_time_ms / 60_000;
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let seconds = (turn_time_ms % 60_000) as f64 / 1000.0;
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format!("{}m{:.1}s", minutes, seconds)
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};
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// Create the bars
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let token_bar = TOKEN_CHAR.to_string().repeat(token_bar_len);
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let time_bar = TIME_CHAR.to_string().repeat(time_bar_len);
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// Add turn information
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histogram.push_str(&format!(
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" Turn {:2}: {:>6} tokens │{:<40}│\n",
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metrics.turn_number,
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metrics.tokens_used,
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token_bar
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));
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histogram.push_str(&format!(
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" {:>6} │{:<40}│\n",
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time_str,
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time_bar
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));
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// Add separator line between turns (except for last turn)
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if metrics.turn_number != turn_metrics.last().unwrap().turn_number {
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histogram.push_str(" ────────────┼────────────────────────────────────────┤\n");
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}
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}
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// Add summary statistics
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let total_tokens: u32 = turn_metrics.iter().map(|t| t.tokens_used).sum();
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let total_time: Duration = turn_metrics.iter().map(|t| t.wall_clock_time).sum();
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let avg_tokens = total_tokens as f64 / turn_metrics.len() as f64;
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let avg_time_ms = total_time.as_millis() as f64 / turn_metrics.len() as f64;
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histogram.push_str("\n📈 Summary Statistics:\n");
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histogram.push_str(&format!(" • Total Tokens: {} across {} turns\n", total_tokens, turn_metrics.len()));
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histogram.push_str(&format!(" • Average Tokens/Turn: {:.1}\n", avg_tokens));
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histogram.push_str(&format!(" • Total Time: {:.1}s\n", total_time.as_secs_f64()));
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histogram.push_str(&format!(" • Average Time/Turn: {:.1}s\n", avg_time_ms / 1000.0));
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histogram
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}
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fn extract_coach_feedback_from_logs(_coach_result: &g3_core::TaskResult, coach_agent: &g3_core::Agent<ConsoleUiWriter>, output: &SimpleOutput) -> Result<String> {
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// CORRECT APPROACH: Get the session ID from the current coach agent
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// and read its specific log file directly
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@@ -37,7 +135,8 @@ fn extract_coach_feedback_from_logs(_coach_result: &g3_core::TaskResult, coach_a
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}
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Err(anyhow::anyhow!("Could not extract feedback from coach session: {}", session_id))
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}use anyhow::Result;
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}
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use clap::Parser;
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use g3_config::Config;
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use g3_core::{project::Project, ui_writer::UiWriter, Agent};
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@@ -113,6 +212,10 @@ pub struct Cli {
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/// Override the model for the selected provider
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#[arg(long, value_name = "MODEL")]
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pub model: Option<String>,
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/// Disable log file creation (no logs/ directory or session logs)
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#[arg(long)]
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pub quiet: bool,
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}
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pub async fn run() -> Result<()> {
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@@ -232,9 +335,9 @@ pub async fn run() -> Result<()> {
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};
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let mut agent = if cli.autonomous {
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Agent::new_autonomous_with_readme(config.clone(), ui_writer, combined_content.clone()).await?
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Agent::new_autonomous_with_readme_and_quiet(config.clone(), ui_writer, combined_content.clone(), cli.quiet).await?
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} else {
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Agent::new_with_readme(config.clone(), ui_writer, combined_content.clone()).await?
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Agent::new_with_readme_and_quiet(config.clone(), ui_writer, combined_content.clone(), cli.quiet).await?
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};
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// Execute task, autonomous mode, or start interactive mode
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@@ -249,6 +352,7 @@ pub async fn run() -> Result<()> {
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cli.show_prompt,
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cli.show_code,
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cli.max_turns,
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cli.quiet,
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)
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.await?;
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} else if let Some(task) = cli.task {
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@@ -451,7 +555,7 @@ async fn run_interactive_retro(
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// Create agent with RetroTuiWriter
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let ui_writer = RetroTuiWriter::new(tui.clone());
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let mut agent = Agent::new_with_readme(config, ui_writer, combined_content.clone()).await?;
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let mut agent = Agent::new_with_readme_and_quiet(config, ui_writer, combined_content.clone(), false).await?;
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// Display initial system messages
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tui.output("SYSTEM: AGENT ONLINE\n\n");
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@@ -1005,9 +1109,11 @@ async fn run_autonomous(
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show_prompt: bool,
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show_code: bool,
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max_turns: usize,
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quiet: bool,
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) -> Result<()> {
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let start_time = std::time::Instant::now();
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let output = SimpleOutput::new();
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let mut turn_metrics: Vec<TurnMetrics> = Vec::new();
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output.print("🤖 G3 AI Coding Agent - Autonomous Mode");
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output.print(&format!(
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@@ -1054,6 +1160,8 @@ async fn run_autonomous(
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" • Usage Percentage: {:.1}%",
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context_window.percentage_used()
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));
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// Add per-turn histogram
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output.print(&generate_turn_histogram(&turn_metrics));
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output.print(&"=".repeat(60));
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return Ok(());
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@@ -1094,6 +1202,8 @@ async fn run_autonomous(
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" • Usage Percentage: {:.1}%",
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context_window.percentage_used()
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));
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// Add per-turn histogram
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output.print(&generate_turn_histogram(&turn_metrics));
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output.print(&"=".repeat(60));
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return Ok(());
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@@ -1123,6 +1233,8 @@ async fn run_autonomous(
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let mut implementation_approved = false;
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loop {
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let turn_start_time = Instant::now();
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let turn_start_tokens = agent.get_context_window().used_tokens;
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// Skip player turn if it's the first turn and implementation files exist
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if !(turn == 1 && skip_first_player) {
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output.print(&format!(
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@@ -1218,6 +1330,8 @@ async fn run_autonomous(
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" • Usage Percentage: {:.1}%",
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context_window.percentage_used()
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));
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// Add per-turn histogram
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output.print(&generate_turn_histogram(&turn_metrics));
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output.print(&"=".repeat(60));
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return Err(e);
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@@ -1247,6 +1361,14 @@ async fn run_autonomous(
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"⚠️ Player turn {} failed after max retries. Moving to next turn.",
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turn
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));
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// Record turn metrics before incrementing
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let turn_duration = turn_start_time.elapsed();
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let turn_tokens = agent.get_context_window().used_tokens - turn_start_tokens;
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turn_metrics.push(TurnMetrics {
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turn_number: turn,
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tokens_used: turn_tokens,
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wall_clock_time: turn_duration,
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});
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turn += 1;
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// Check if we've reached max turns
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@@ -1269,7 +1391,7 @@ async fn run_autonomous(
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// Use the same config with overrides that was passed to the player agent
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let config = agent.get_config().clone();
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let ui_writer = ConsoleUiWriter::new();
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let mut coach_agent = Agent::new_autonomous(config, ui_writer).await?;
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let mut coach_agent = Agent::new_autonomous_with_readme_and_quiet(config, ui_writer, None, quiet).await?;
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// Ensure coach agent is also in the workspace directory
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project.enter_workspace()?;
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@@ -1360,6 +1482,8 @@ Remember: Be thorough in your review but concise in your feedback. APPROVE if th
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" • Usage Percentage: {:.1}%",
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context_window.percentage_used()
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));
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// Add per-turn histogram
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output.print(&generate_turn_histogram(&turn_metrics));
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output.print(&"=".repeat(60));
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return Err(e);
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@@ -1392,6 +1516,14 @@ Remember: Be thorough in your review but concise in your feedback. APPROVE if th
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turn
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));
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coach_feedback = "The implementation needs review. Please ensure all requirements are met and the code compiles without errors.".to_string();
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// Record turn metrics before incrementing
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let turn_duration = turn_start_time.elapsed();
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let turn_tokens = agent.get_context_window().used_tokens - turn_start_tokens;
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turn_metrics.push(TurnMetrics {
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turn_number: turn,
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tokens_used: turn_tokens,
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wall_clock_time: turn_duration,
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});
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turn += 1;
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if turn > max_turns {
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@@ -1419,6 +1551,14 @@ Remember: Be thorough in your review but concise in your feedback. APPROVE if th
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if coach_feedback_text.is_empty() {
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output.print("⚠️ Coach did not provide feedback. This may be a model issue.");
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coach_feedback = "The implementation needs review. Please ensure all requirements are met and the code compiles without errors.".to_string();
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// Record turn metrics before incrementing
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let turn_duration = turn_start_time.elapsed();
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let turn_tokens = agent.get_context_window().used_tokens - turn_start_tokens;
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turn_metrics.push(TurnMetrics {
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turn_number: turn,
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tokens_used: turn_tokens,
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wall_clock_time: turn_duration,
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});
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turn += 1;
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continue;
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}
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@@ -1426,7 +1566,7 @@ Remember: Be thorough in your review but concise in your feedback. APPROVE if th
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output.print_smart(&format!("Coach feedback:\n{}", coach_feedback_text));
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// Check if coach approved the implementation
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if coach_result.is_approved() {
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if coach_result.is_approved() || coach_feedback_text.contains("IMPLEMENTATION_APPROVED") {
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output.print("\n=== SESSION COMPLETED - IMPLEMENTATION APPROVED ===");
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output.print("✅ Coach approved the implementation!");
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implementation_approved = true;
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@@ -1442,6 +1582,14 @@ Remember: Be thorough in your review but concise in your feedback. APPROVE if th
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// Store coach feedback for next iteration
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coach_feedback = coach_feedback_text;
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// Record turn metrics before incrementing
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let turn_duration = turn_start_time.elapsed();
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let turn_tokens = agent.get_context_window().used_tokens - turn_start_tokens;
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turn_metrics.push(TurnMetrics {
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turn_number: turn,
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tokens_used: turn_tokens,
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wall_clock_time: turn_duration,
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});
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turn += 1;
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output.print("🔄 Coach provided feedback for next iteration");
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@@ -1485,6 +1633,9 @@ Remember: Be thorough in your review but concise in your feedback. APPROVE if th
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" • Usage Percentage: {:.1}%",
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context_window.percentage_used()
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));
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// Add per-turn histogram
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output.print(&generate_turn_histogram(&turn_metrics));
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output.print(&"=".repeat(60));
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if implementation_approved {
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Block a user