agent_code_lib/services/

compact.rs

//! History compaction.
//!
//! Manages conversation history size by summarizing older messages
//! when the context window limit approaches. Implements three
//! compaction strategies:
//!
//! - **Auto-compact**: triggered when estimated tokens exceed threshold
//! - **Reactive compact**: triggered by API `prompt_too_long` errors
//! - **Microcompact**: clears stale tool results to free tokens
//!
//! # Thresholds
//!
//! ```text
//! |<--- context window (e.g., 200K) -------------------------------->|
//! |<--- effective window (context - 20K reserved) ------------------>|
//! |<--- auto-compact threshold (effective - 13K buffer) ------------>|
//! |                                                    ↑ compact fires here
//! ```

use crate::llm::message::{
    ContentBlock, Message, MessageLevel, SystemMessage, SystemMessageType, UserMessage,
};
use crate::services::tokens;
use uuid::Uuid;

/// Buffer tokens before auto-compact fires.
const AUTOCOMPACT_BUFFER_TOKENS: u64 = 13_000;

/// Tokens reserved for the compact summary output.
const MAX_OUTPUT_TOKENS_FOR_SUMMARY: u64 = 20_000;

/// Maximum consecutive auto-compact failures before circuit breaker trips.
const MAX_CONSECUTIVE_FAILURES: u32 = 3;

/// Maximum recovery attempts for max-output-tokens errors.
pub const MAX_OUTPUT_TOKENS_RECOVERY_LIMIT: u32 = 3;

/// Tools whose results can be cleared by microcompact.
const COMPACTABLE_TOOLS: &[&str] = &["FileRead", "Bash", "Grep", "Glob", "FileEdit", "FileWrite"];

/// Token warning state for the UI.
#[derive(Debug, Clone)]
pub struct TokenWarningState {
    /// Percentage of context window remaining.
    pub percent_left: u64,
    /// Whether to show a warning in the UI.
    pub is_above_warning: bool,
    /// Whether to show an error in the UI.
    pub is_above_error: bool,
    /// Whether auto-compact should fire.
    pub should_compact: bool,
    /// Whether the context is at the blocking limit.
    pub is_blocking: bool,
}

/// Tracking state for auto-compact across turns.
#[derive(Debug, Clone, Default)]
pub struct CompactTracking {
    pub consecutive_failures: u32,
    pub was_compacted: bool,
}

/// Calculate the effective context window (total minus output reservation).
pub fn effective_context_window(model: &str) -> u64 {
    let context = tokens::context_window_for_model(model);
    let reserved = tokens::max_output_tokens_for_model(model).min(MAX_OUTPUT_TOKENS_FOR_SUMMARY);
    context.saturating_sub(reserved)
}

/// Calculate the auto-compact threshold.
pub fn auto_compact_threshold(model: &str) -> u64 {
    effective_context_window(model).saturating_sub(AUTOCOMPACT_BUFFER_TOKENS)
}

/// Calculate token warning state for the current conversation.
pub fn token_warning_state(messages: &[Message], model: &str) -> TokenWarningState {
    let token_count = tokens::estimate_context_tokens(messages);
    let threshold = auto_compact_threshold(model);
    let effective = effective_context_window(model);

    let percent_left = if effective > 0 {
        ((effective.saturating_sub(token_count)) as f64 / effective as f64 * 100.0)
            .round()
            .max(0.0) as u64
    } else {
        0
    };

    let warning_buffer = 20_000;

    TokenWarningState {
        percent_left,
        is_above_warning: token_count >= effective.saturating_sub(warning_buffer),
        is_above_error: token_count >= effective.saturating_sub(warning_buffer),
        should_compact: token_count >= threshold,
        is_blocking: token_count >= effective.saturating_sub(3_000),
    }
}

/// Check whether auto-compact should fire for this conversation.
pub fn should_auto_compact(messages: &[Message], model: &str, tracking: &CompactTracking) -> bool {
    // Circuit breaker.
    if tracking.consecutive_failures >= MAX_CONSECUTIVE_FAILURES {
        return false;
    }

    let state = token_warning_state(messages, model);
    state.should_compact
}

/// Perform microcompact: clear stale tool results to free tokens.
///
/// Replaces the content of old tool_result blocks with a placeholder,
/// keeping the most recent `keep_recent` results intact.
pub fn microcompact(messages: &mut [Message], keep_recent: usize) -> u64 {
    let keep_recent = keep_recent.max(1);

    // Collect indices of compactable tool results (in order).
    let mut compactable_indices: Vec<(usize, usize)> = Vec::new(); // (msg_idx, block_idx)

    for (msg_idx, msg) in messages.iter().enumerate() {
        if let Message::User(u) = msg {
            for (block_idx, block) in u.content.iter().enumerate() {
                if let ContentBlock::ToolResult { tool_use_id, .. } = block {
                    // Check if this tool_use_id corresponds to a compactable tool.
                    if is_compactable_tool_result(messages, tool_use_id) {
                        compactable_indices.push((msg_idx, block_idx));
                    }
                }
            }
        }
    }

    if compactable_indices.len() <= keep_recent {
        return 0;
    }

    // Clear all but the most recent `keep_recent`.
    let clear_count = compactable_indices.len() - keep_recent;
    let to_clear = &compactable_indices[..clear_count];

    let mut freed_tokens = 0u64;

    for &(msg_idx, block_idx) in to_clear {
        if let Message::User(ref mut u) = messages[msg_idx]
            && let ContentBlock::ToolResult {
                ref mut content,
                tool_use_id: _,
                is_error: _,
                ..
            } = u.content[block_idx]
        {
            let old_tokens = tokens::estimate_tokens(content);
            let placeholder = "[Old tool result cleared]".to_string();
            let new_tokens = tokens::estimate_tokens(&placeholder);
            *content = placeholder;
            freed_tokens += old_tokens.saturating_sub(new_tokens);
        }
    }

    freed_tokens
}

/// Check if a tool_use_id corresponds to a compactable tool.
fn is_compactable_tool_result(messages: &[Message], tool_use_id: &str) -> bool {
    for msg in messages {
        if let Message::Assistant(a) = msg {
            for block in &a.content {
                if let ContentBlock::ToolUse { id, name, .. } = block
                    && id == tool_use_id
                {
                    return COMPACTABLE_TOOLS
                        .iter()
                        .any(|t| t.eq_ignore_ascii_case(name));
                }
            }
        }
    }
    false
}

/// Create a compact boundary marker message.
pub fn compact_boundary_message(summary: &str) -> Message {
    Message::System(SystemMessage {
        uuid: Uuid::new_v4(),
        timestamp: chrono::Utc::now().to_rfc3339(),
        subtype: SystemMessageType::CompactBoundary,
        content: format!("[Conversation compacted. Summary: {summary}]"),
        level: MessageLevel::Info,
    })
}

/// Build a compact summary request: asks the LLM to summarize
/// the conversation up to a certain point.
pub fn build_compact_summary_prompt(messages: &[Message]) -> String {
    let mut context = String::new();
    for msg in messages {
        match msg {
            Message::User(u) => {
                context.push_str("User: ");
                for block in &u.content {
                    if let ContentBlock::Text { text } = block {
                        context.push_str(text);
                    }
                }
                context.push('\n');
            }
            Message::Assistant(a) => {
                context.push_str("Assistant: ");
                for block in &a.content {
                    if let ContentBlock::Text { text } = block {
                        context.push_str(text);
                    }
                }
                context.push('\n');
            }
            _ => {}
        }
    }

    format!(
        "Summarize this conversation concisely, preserving key decisions, \
         file changes made, and important context. Focus on what the user \
         was trying to accomplish and what was done.\n\n{context}"
    )
}

/// Build the recovery message injected when max-output-tokens is hit.
pub fn max_output_recovery_message() -> Message {
    Message::User(UserMessage {
        uuid: Uuid::new_v4(),
        timestamp: chrono::Utc::now().to_rfc3339(),
        content: vec![ContentBlock::Text {
            text: "Output token limit hit. Resume directly — no apology, no recap \
                   of what you were doing. Pick up mid-thought if that is where the \
                   cut happened. Break remaining work into smaller pieces."
                .to_string(),
        }],
        is_meta: true,
        is_compact_summary: false,
    })
}

/// Parse a "prompt too long" error to extract the token gap.
///
/// Looks for patterns like "prompt is too long: 137500 tokens > 135000 maximum"
/// and returns the difference (2500 in this example).
pub fn parse_prompt_too_long_gap(error_text: &str) -> Option<u64> {
    let re = regex::Regex::new(r"(\d+)\s*tokens?\s*>\s*(\d+)").ok()?;
    let captures = re.captures(error_text)?;
    let actual: u64 = captures.get(1)?.as_str().parse().ok()?;
    let limit: u64 = captures.get(2)?.as_str().parse().ok()?;
    let gap = actual.saturating_sub(limit);
    if gap > 0 { Some(gap) } else { None }
}

/// Perform full LLM-based compaction of the conversation history.
///
/// Splits the message history into two parts: messages to summarize
/// (older) and messages to keep (recent). Calls the LLM to generate
/// a summary, then replaces the old messages with:
/// 1. A compact boundary marker
/// 2. A summary message (as a user message with is_compact_summary=true)
/// 3. The kept recent messages
///
/// Returns the number of messages removed, or None if compaction failed.
pub async fn compact_with_llm(
    messages: &mut Vec<Message>,
    llm: &dyn crate::llm::provider::Provider,
    model: &str,
) -> Option<usize> {
    if messages.len() < 4 {
        return None; // Not enough messages to compact.
    }

    // Keep the most recent messages (at least 40K tokens worth, or
    // minimum 5 messages with text content).
    let keep_count = calculate_keep_count(messages);
    let split_point = messages.len().saturating_sub(keep_count);

    if split_point < 2 {
        return None; // Not enough to summarize.
    }

    let to_summarize = &messages[..split_point];
    let summary_prompt = build_compact_summary_prompt(to_summarize);

    // Call the LLM to generate the summary.
    let summary_messages = vec![crate::llm::message::user_message(&summary_prompt)];
    let request = crate::llm::provider::ProviderRequest {
        messages: summary_messages,
        system_prompt: "You are a conversation summarizer. Produce a concise summary \
                        preserving key decisions, file changes, and important context. \
                        Do not use tools."
            .to_string(),
        tools: vec![],
        model: model.to_string(),
        max_tokens: 4096,
        temperature: None,
        enable_caching: false,
        tool_choice: Default::default(),
        metadata: None,
    };

    let mut rx = match llm.stream(&request).await {
        Ok(rx) => rx,
        Err(e) => {
            tracing::warn!("Compact LLM call failed: {e}");
            return None;
        }
    };

    // Collect the summary text.
    let mut summary = String::new();
    while let Some(event) = rx.recv().await {
        if let crate::llm::stream::StreamEvent::TextDelta(text) = event {
            summary.push_str(&text);
        }
    }

    if summary.is_empty() {
        return None;
    }

    // Replace old messages with boundary + summary + kept messages.
    let kept = messages[split_point..].to_vec();
    let removed = split_point;

    messages.clear();
    messages.push(compact_boundary_message(&summary));
    messages.push(Message::User(UserMessage {
        uuid: Uuid::new_v4(),
        timestamp: chrono::Utc::now().to_rfc3339(),
        content: vec![ContentBlock::Text {
            text: format!("[Conversation compacted. Prior context summary:]\n\n{summary}"),
        }],
        is_meta: true,
        is_compact_summary: true,
    }));
    messages.extend(kept);

    tracing::info!("Compacted {removed} messages into summary");
    Some(removed)
}

/// Calculate how many recent messages to keep during compaction.
///
/// Keeps at least 5 messages with text content, or messages totaling
/// at least 10K estimated tokens, whichever is more.
fn calculate_keep_count(messages: &[Message]) -> usize {
    let min_text_messages = 5;
    let min_tokens = 10_000u64;
    let max_tokens = 40_000u64;

    let mut count = 0usize;
    let mut text_count = 0usize;
    let mut token_total = 0u64;

    // Walk backwards from the end.
    for msg in messages.iter().rev() {
        let tokens = crate::services::tokens::estimate_message_tokens(msg);
        token_total += tokens;
        count += 1;

        // Count messages with text content.
        let has_text = match msg {
            Message::User(u) => u
                .content
                .iter()
                .any(|b| matches!(b, ContentBlock::Text { .. })),
            Message::Assistant(a) => a
                .content
                .iter()
                .any(|b| matches!(b, ContentBlock::Text { .. })),
            _ => false,
        };
        if has_text {
            text_count += 1;
        }

        // Stop if we've met both minimums.
        if text_count >= min_text_messages && token_total >= min_tokens {
            break;
        }
        // Hard cap.
        if token_total >= max_tokens {
            break;
        }
    }

    count
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_auto_compact_threshold() {
        // Sonnet: 200K context, 16K max output (capped at 20K), effective = 180K
        // Threshold = 180K - 13K = 167K
        let threshold = auto_compact_threshold("claude-sonnet");
        assert_eq!(threshold, 200_000 - 16_384 - 13_000);
    }

    #[test]
    fn test_parse_prompt_too_long_gap() {
        let msg = "prompt is too long: 137500 tokens > 135000 maximum";
        assert_eq!(parse_prompt_too_long_gap(msg), Some(2500));
    }

    #[test]
    fn test_parse_prompt_too_long_no_match() {
        assert_eq!(parse_prompt_too_long_gap("some other error"), None);
    }

    #[test]
    fn test_effective_context_window() {
        // Sonnet: 200K context - 16K output = 184K (capped at 20K → 180K)
        let eff = effective_context_window("claude-sonnet");
        assert!(eff > 100_000);
        assert!(eff < 200_000);
    }

    #[test]
    fn test_token_warning_state_empty() {
        let state = token_warning_state(&[], "claude-sonnet");
        assert_eq!(state.percent_left, 100);
        assert!(!state.is_above_warning);
        assert!(!state.is_blocking);
    }

    #[test]
    fn test_should_auto_compact_empty() {
        let tracking = CompactTracking::default();
        assert!(!should_auto_compact(&[], "claude-sonnet", &tracking));
    }

    #[test]
    fn test_should_auto_compact_circuit_breaker() {
        let tracking = CompactTracking {
            consecutive_failures: 5,
            was_compacted: false,
        };
        // Even with huge message list, circuit breaker should prevent compaction.
        assert!(!should_auto_compact(&[], "claude-sonnet", &tracking));
    }

    #[test]
    fn test_microcompact_empty() {
        let mut messages = vec![];
        let freed = microcompact(&mut messages, 2);
        assert_eq!(freed, 0);
    }

    #[test]
    fn test_microcompact_keeps_recent() {
        use crate::llm::message::*;
        // Create a tool result message.
        let mut messages = vec![
            Message::Assistant(AssistantMessage {
                uuid: uuid::Uuid::new_v4(),
                timestamp: String::new(),
                content: vec![ContentBlock::ToolUse {
                    id: "call_1".into(),
                    name: "FileRead".into(),
                    input: serde_json::json!({}),
                }],
                model: None,
                usage: None,
                stop_reason: None,
                request_id: None,
            }),
            Message::User(UserMessage {
                uuid: uuid::Uuid::new_v4(),
                timestamp: String::new(),
                content: vec![ContentBlock::ToolResult {
                    tool_use_id: "call_1".into(),
                    content: "file content here".repeat(100),
                    is_error: false,
                    extra_content: vec![],
                }],
                is_meta: true,
                is_compact_summary: false,
            }),
        ];
        // keep_recent=5 means this single result should be kept.
        let freed = microcompact(&mut messages, 5);
        assert_eq!(freed, 0);
    }

    #[test]
    fn test_compact_boundary_message() {
        let msg = compact_boundary_message("test summary");
        if let Message::System(s) = msg {
            assert_eq!(
                s.subtype,
                crate::llm::message::SystemMessageType::CompactBoundary
            );
        } else {
            panic!("Expected system message");
        }
    }

    #[test]
    fn test_max_output_recovery_message() {
        let msg = max_output_recovery_message();
        match msg {
            Message::User(u) => {
                assert!(!u.content.is_empty());
            }
            _ => panic!("Expected user message"),
        }
    }

    #[test]
    fn test_build_compact_summary_prompt() {
        use crate::llm::message::*;
        let messages = vec![user_message("hello"), user_message("world")];
        let prompt = build_compact_summary_prompt(&messages);
        assert!(prompt.contains("Summarize"));
    }

    #[test]
    fn test_effective_context_window_gpt_model() {
        let eff = effective_context_window("gpt-4o");
        // gpt-4: 128K context, 16K max output (capped at 20K → 16K), effective = 128K - 16K = 112K
        assert_eq!(eff, 128_000 - 16_384);
    }

    #[test]
    fn test_auto_compact_threshold_gpt_model() {
        let threshold = auto_compact_threshold("gpt-4o");
        assert_eq!(threshold, 128_000 - 16_384 - 13_000);
    }

    #[test]
    fn test_parse_prompt_too_long_gap_with_comma_format() {
        // Numbers without commas embedded, but different magnitudes.
        let msg = "prompt is too long: 137500 tokens > 135000 maximum";
        assert_eq!(parse_prompt_too_long_gap(msg), Some(2500));
    }

    #[test]
    fn test_parse_prompt_too_long_gap_equal_tokens_returns_none() {
        let msg = "prompt is too long: 135000 tokens > 135000 maximum";
        // gap = 0, so returns None.
        assert_eq!(parse_prompt_too_long_gap(msg), None);
    }

    #[test]
    fn test_token_warning_state_large_count_should_compact() {
        use crate::llm::message::*;
        // Create a huge message that will exceed the threshold.
        let big_text = "a".repeat(800_000); // ~200K tokens
        let messages = vec![user_message(&big_text)];
        let state = token_warning_state(&messages, "claude-sonnet");
        assert!(state.should_compact);
    }

    #[test]
    fn test_should_auto_compact_empty_tracking_small_conversation() {
        let tracking = CompactTracking::default();
        let messages = vec![crate::llm::message::user_message("tiny")];
        assert!(!should_auto_compact(&messages, "claude-sonnet", &tracking));
    }

    #[test]
    fn test_compact_boundary_message_content_format() {
        let msg = compact_boundary_message("my summary");
        if let Message::System(s) = &msg {
            assert!(s.content.contains("my summary"));
            assert!(s.content.starts_with("[Conversation compacted."));
        } else {
            panic!("Expected System message");
        }
    }

    #[test]
    fn test_build_compact_summary_prompt_includes_user_and_assistant() {
        use crate::llm::message::*;
        let messages = vec![
            user_message("user said this"),
            Message::Assistant(AssistantMessage {
                uuid: uuid::Uuid::new_v4(),
                timestamp: String::new(),
                content: vec![ContentBlock::Text {
                    text: "assistant said that".into(),
                }],
                model: None,
                usage: None,
                stop_reason: None,
                request_id: None,
            }),
        ];
        let prompt = build_compact_summary_prompt(&messages);
        assert!(prompt.contains("user said this"));
        assert!(prompt.contains("assistant said that"));
        assert!(prompt.contains("User:"));
        assert!(prompt.contains("Assistant:"));
    }

    #[test]
    fn test_max_output_recovery_message_is_meta() {
        let msg = max_output_recovery_message();
        if let Message::User(u) = &msg {
            assert!(u.is_meta);
        } else {
            panic!("Expected User message");
        }
    }

    #[test]
    fn test_calculate_keep_count_returns_at_least_5_for_large_list() {
        use crate::llm::message::*;
        // Create 20 messages with text content.
        let messages: Vec<Message> = (0..20)
            .map(|i| user_message(format!("message {i}")))
            .collect();
        let keep = calculate_keep_count(&messages);
        assert!(keep >= 5, "keep_count was {keep}, expected at least 5");
    }
}