lean-ctx 3.8.13

Context Runtime for AI Agents with CCP. 71 MCP tools, 10 read modes, 95+ compression patterns, cross-session memory (CCP), persistent AI knowledge with temporal facts + contradiction detection, multi-agent context sharing, LITM-aware positioning, AAAK compact format, adaptive compression with Thompson Sampling bandits. Supports 24+ AI tools. Reduces LLM token consumption by up to 99%.
Documentation
use rmcp::ErrorData;
use rmcp::model::Tool;
use serde_json::{Map, Value, json};

use crate::server::tool_trait::{
    McpTool, ToolContext, ToolOutput, get_f64, get_str, get_str_array,
};
use crate::tool_defs::tool_def;

pub struct CtxKnowledgeTool;

impl McpTool for CtxKnowledgeTool {
    fn name(&self) -> &'static str {
        "ctx_knowledge"
    }

    fn tool_def(&self) -> Tool {
        tool_def(
            "ctx_knowledge",
            "Persistent memory across sessions — remember decisions, patterns, and facts for recall.\n\
             WORKFLOW: save after completing significant tasks; recall at session start.\n\
             action=remember key='X' value='Y' saves a fact (both required).\n\
             action=recall query='X' retrieves it. action=status shows all categories.\n\
             action=gotcha trigger='X' resolution='Y' for known pitfalls.\n\
             mode=semantic|exact for recall. category groups related facts.",
            json!({
                "type": "object",
                "properties": {
                    "action": {
                        "type": "string",
                        "description": "remember|recall|search|pattern|gotcha|relate|relations|consolidate|status|timeline|rooms|wakeup|remove|export (also: feedback, unrelate, relations_diagram, health, lifecycle_report, policy, embeddings_*)"
                    },
                    "trigger": { "type": "string", "description": "gotcha trigger pattern" },
                    "resolution": { "type": "string", "description": "gotcha resolution/fix" },
                    "severity": { "type": "string", "description": "gotcha: critical|warning|info" },
                    "category": { "type": "string", "description": "Fact category" },
                    "key": { "type": "string" },
                    "value": { "type": "string" },
                    "query": { "type": "string", "description": "Query for recall/search/relate" },
                    "mode": { "type": "string", "description": "auto|exact|semantic|hybrid" },
                    "as_of": { "type": "string", "description": "YYYY-MM-DD date filter" },
                    "pattern_type": { "type": "string" },
                    "examples": { "type": "array", "items": { "type": "string" } },
                    "confidence": { "type": "number", "description": "0.0-1.0" }
                },
                "required": ["action"]
            }),
        )
    }

    fn handle(
        &self,
        args: &Map<String, Value>,
        ctx: &ToolContext,
    ) -> Result<ToolOutput, ErrorData> {
        let action = get_str(args, "action")
            .ok_or_else(|| ErrorData::invalid_params("action is required", None))?;
        let category = get_str(args, "category");
        let key = get_str(args, "key");
        let value = get_str(args, "value");
        let query = get_str(args, "query");
        let mode = get_str(args, "mode");
        let as_of = get_str(args, "as_of");
        let pattern_type = get_str(args, "pattern_type");
        let examples = get_str_array(args, "examples");
        let confidence = get_f64(args, "confidence").map(|v| v as f32);

        let session_handle = ctx
            .session
            .as_ref()
            .ok_or_else(|| ErrorData::internal_error("session not available", None))?;
        let (session_id, project_root) = {
            let timeout_dur =
                crate::core::io_health::adaptive_timeout(std::time::Duration::from_secs(10));
            let read_result = tokio::task::block_in_place(|| {
                tokio::runtime::Handle::current()
                    .block_on(tokio::time::timeout(timeout_dur, session_handle.read()))
            });
            if let Ok(session) = read_result {
                let sid = session.id.clone();
                let root = session
                    .project_root
                    .clone()
                    .unwrap_or_else(|| ctx.project_root.clone());
                (sid, root)
            } else {
                tracing::warn!("ctx_knowledge: session read-lock timeout, using fallback");
                ("unknown".to_string(), ctx.project_root.clone())
            }
        };

        if action == "gotcha" {
            let trigger = get_str(args, "trigger").unwrap_or_default();
            let resolution = get_str(args, "resolution").unwrap_or_default();
            let severity = get_str(args, "severity").unwrap_or_default();
            let cat = category.as_deref().unwrap_or("convention");

            if trigger.is_empty() || resolution.is_empty() {
                return Ok(ToolOutput {
                    text: "ERROR: trigger and resolution are required for gotcha action"
                        .to_string(),
                    original_tokens: 0,
                    saved_tokens: 0,
                    mode: Some(action),
                    path: None,
                    changed: false,
                    shell_outcome: None,
                });
            }

            let mut store = crate::core::gotcha_tracker::GotchaStore::load(&project_root);
            let msg = match store.report_gotcha(&trigger, &resolution, cat, &severity, &session_id)
            {
                Some(gotcha) => {
                    let conf = (gotcha.confidence * 100.0) as u32;
                    let label = gotcha.category.short_label();
                    format!("Gotcha recorded: [{label}] {trigger} (confidence: {conf}%)")
                }
                None => {
                    format!("Gotcha noted: {trigger} (evicted by higher-confidence entries)")
                }
            };
            let _ = store.save(&project_root);
            return Ok(ToolOutput {
                text: msg,
                original_tokens: 0,
                saved_tokens: 0,
                mode: Some(action),
                path: None,
                changed: false,
                shell_outcome: None,
            });
        }

        let result = crate::tools::ctx_knowledge::handle(
            &project_root,
            &action,
            category.as_deref(),
            key.as_deref(),
            value.as_deref(),
            query.as_deref(),
            &session_id,
            pattern_type.as_deref(),
            examples,
            confidence,
            mode.as_deref(),
            as_of.as_deref(),
        );

        Ok(ToolOutput {
            text: result,
            original_tokens: 0,
            saved_tokens: 0,
            mode: Some(action),
            path: None,
            changed: false,
            shell_outcome: None,
        })
    }
}