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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NXincZSpRK3afYrPfeg9w4","type":"tool_result","content":"1\t//! NEEDLE — Navigates Every Enqueued Deliverable, Logs Effort.\n2\t//!\n3\t//! Library crate exposing the public API for integration tests and embedding.\n4\t\n5\tpub mod agent_event;\n6\tpub mod bead_store;\n7\tpub mod canary;\n8\tpub mod claim;\n9\tpub mod claude_md_placement;\n10\tpub mod cli;\n11\tpub mod commit_hook;\n12\tpub mod config;\n13\tpub mod cost;\n14\tpub mod decision;\n15\tpub mod dispatch;\n16\tpub mod drift;\n17\tpub mod health;\n18\tpub mod learning;\n19\tpub mod mitosis;\n20\tpub mod outcome;\n21\tpub mod peer;\n22\tpub mod prompt;\n23\tpub mod rate_limit;\n24\tpub mod registry;\n25\tpub mod sanitize;\n26\tpub mod skill;\n27\tpub mod span;\n28\tpub mod stats;\n29\tpub mod strand;\n30\tpub mod telemetry;\n31\tpub mod trace;\n32\tpub mod transcript;\n33\tpub mod types;\n34\tpub mod upgrade;\n35\tpub mod validation;\n36\tpub mod worker;\n37\t"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"cfd95782-ad3e-4b72-9722-138933ece4b9","timestamp":"2026-05-14T05:05:49.526Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NVxp4VVJE1BQQEwCRJvwSp","type":"tool_result","content":"1\t//! Reflect strand: meta-analysis and learning consolidation.\n2\t//!\n3\t//! Strand 7 in the waterfall. Runs after all other strands return NoWork.\n4\t//! This is the last productive strategy before giving up — meta-analysis\n5\t//! only runs when there is genuinely nothing else to do.\n6\t//!\n7\t//! KAIROS-inspired four-phase cycle:\n8\t//! 1. **Orient** — read current learnings.md and existing skills, check sizes.\n9\t//! 2. **Gather** — read bead close bodies from issues.jsonl since last\n10\t//!    consolidation; read traces for failed beads.\n11\t//! 3. **Consolidate** — extract retrospective blocks, identify cross-bead\n12\t//!    patterns, merge into learnings.md, deduplicate, resolve contradictions.\n13\t//!    Promote learnings with reinforcement_count ≥ 3 to skill files.\n14\t//! 4. **Prune** — remove entries older than `learning_retention_days` days\n15\t//!    without reinforcement, compress similar entries, enforce `max_learnings`.\n16\t//!\n17\t//! Entry conditions (checked before running):\n18\t//! - `strands.reflect.enabled` is true\n19\t//! - 10+ beads closed since last consolidation (configurable)\n20\t//! - 24+ hours since last consolidation (configurable cooldown)\n21\t//!\n22\t//! Guardrails:\n23\t//! - Max `max_learnings_per_run` new learnings added per run\n24\t//! - Max `max_skills_per_run` skill files created/updated per run\n25\t//! - CLAUDE.md is read-only — never written\n26\t//!\n27\t//! Depends on: `config`, `learning`, `telemetry`, `types`.\n28\t\n29\tuse std::path::{Path, PathBuf};\n30\t\n31\tuse anyhow::{Context, Result};\n32\tuse chrono::{DateTime, Duration, Utc};\n33\tuse serde::{Deserialize, Serialize};\n34\t\n35\tuse crate::bead_store::BeadStore;\n36\tuse crate::claude_md_placement::observations_similar;\n37\tuse crate::config::ReflectConfig;\n38\tuse crate::drift::DriftDetector;\n39\tuse crate::learning::{\n40\t    BeadType, Confidence, GlobalLearningsFile, LearningEntry, LearningsFile, Retrospective,\n41\t};\n42\tuse crate::skill::{render_skill_file, SkillFrontmatter, SkillLibrary};\n43\tuse crate::telemetry::{EventKind, Telemetry};\n44\tuse crate::transcript::{ParsedTranscript, TranscriptDiscovery};\n45\tuse crate::types::{BeadId, StrandError, StrandResult};\n46\t\n47\t// ──────────────────────────────────────────────────────────────────────────────\n48\t// ReflectAgent trait\n49\t// ──────────────────────────────────────────────────────────────────────────────\n50\t\n51\t/// Agent that infers a retrospective from an unstructured bead close body.\n52\t#[async_trait::async_trait]\n53\t#[allow(dead_code)]\n54\tpub trait ReflectAgent: Send + Sync {\n55\t    /// Extract a `Retrospective` from the given bead title and close body.\n56\t    /// Returns `Ok(None)` if no meaningful retrospective can be inferred.\n57\t    async fn extract_retrospective(\n58\t        &self,\n59\t        bead_title: &str,\n60\t        close_body: &str,\n61\t        workspace: &Path,\n62\t    ) -> Result<Option<Retrospective>>;\n63\t}\n64\t\n65\t// ──────────────────────────────────────────────────────────────────────────────\n66\t// Default prompt template\n67\t// ──────────────────────────────────────────────────────────────────────────────\n68\t\n69\t/// Default prompt template for retrospective extraction.\n70\t#[allow(dead_code)]\n71\tconst DEFAULT_EXTRACTION_PROMPT: &str = r#\"You are analyzing a completed software task.\n72\tBased on the title and close body below, write a concise retrospective section.\n73\t\n74\tTitle: {title}\n75\tClose body: {close_body}\n76\t\n77\tWrite ONLY the following markdown block — nothing before or after it:\n78\t\n79\t## Retrospective\n80\t- **What worked:** <approaches that succeeded>\n81\t- **What didn't:** <approaches that failed or were harder than expected, or \"N/A\">\n82\t- **Surprise:** <anything unexpected about the codebase, tooling, or problem, or \"N/A\">\n83\t- **Reusable pattern:** <if this task type recurs, the key pattern to apply>\n84\t\"#;\n85\t\n86\t// ──────────────────────────────────────────────────────────────────────────────\n87\t// CliReflectAgent\n88\t// ──────────────────────────────────────────────────────────────────────────────\n89\t\n90\t/// Production `ReflectAgent` that shells out to a CLI agent (e.g., `claude`).\n91\t///\n92\t/// The agent is invoked with the prompt fed via stdin redirection. The prompt\n93\t/// is built by substituting `{title}` and `{close_body}` in the template.\n94\t#[allow(dead_code)]\n95\tpub struct CliReflectAgent {\n96\t    /// Agent binary name or path (e.g., `\"claude\"`).\n97\t    agent_cmd: String,\n98\t    /// Optional custom prompt template. Uses `DEFAULT_EXTRACTION_PROMPT` if None.\n99\t    #[allow(dead_code)]\n100\t    prompt_template: Option<String>,\n101\t}\n102\t\n103\timpl CliReflectAgent {\n104\t    /// Create a new `CliReflectAgent`.\n105\t    ///\n106\t    /// `agent_cmd` is the binary used for analysis (typically taken from\n107\t    /// `config.agent.default`). `prompt_template` is optional; if None, the\n108\t    /// built-in `DEFAULT_EXTRACTION_PROMPT` is used.\n109\t    #[allow(dead_code)]\n110\t    pub fn new(agent_cmd: String, prompt_template: Option<String>) -> Self {\n111\t        CliReflectAgent {\n112\t            agent_cmd,\n113\t            prompt_template,\n114\t        }\n115\t    }\n116\t}\n117\t\n118\t#[async_trait::async_trait]\n119\timpl ReflectAgent for CliReflectAgent {\n120\t    async fn extract_retrospective(\n121\t        &self,\n122\t        bead_title: &str,\n123\t        close_body: &str,\n124\t        workspace: &Path,\n125\t    ) -> Result<Option<Retrospective>> {\n126\t        // Build the prompt by substituting template variables.\n127\t        let template = self\n128\t            .prompt_template\n129\t            .as_deref()\n130\t            .unwrap_or(DEFAULT_EXTRACTION_PROMPT);\n131\t        let prompt = template\n132\t            .replace(\"{title}\", bead_title)\n133\t            .replace(\"{close_body}\", close_body);\n134\t\n135\t        // Write the prompt to a temp file.\n136\t        let tmp_path =\n137\t            std::path::PathBuf::from(format!(\"/tmp/needle-reflect-{}.md\", std::process::id()));\n138\t        std::fs::write(&tmp_path, prompt)\n139\t            .with_context(|| format!(\"failed to write reflect prompt to {}\", tmp_path.display()))?;\n140\t\n141\t        // Run the agent: cd into workspace, pipe prompt to agent.\n142\t        let cmd = format!(\n143\t            \"cd {} && {} < {}\",\n144\t            workspace.display(),\n145\t            self.agent_cmd,\n146\t            tmp_path.display()\n147\t        );\n148\t\n149\t        let output = tokio::process::Command::new(\"bash\")\n150\t            .arg(\"-c\")\n151\t            .arg(&cmd)\n152\t            .output()\n153\t            .await\n154\t            .with_context(|| format!(\"failed to spawn reflect agent: {}\", self.agent_cmd))?;\n155\t\n156\t        // Always clean up the temp file.\n157\t        let _ = std::fs::remove_file(&tmp_path);\n158\t\n159\t        if !output.status.success() {\n160\t            anyhow::bail!(\n161\t                \"reflect agent exited with code {}\",\n162\t                output.status.code().unwrap_or(-1)\n163\t            );\n164\t        }\n165\t\n166\t        let stdout = String::from_utf8_lossy(&output.stdout);\n167\t        Retrospective::parse_from_close_body(&stdout)\n168\t    }\n169\t}\n170\t\n171\t// ──────────────────────────────────────────────────────────────────────────────\n172\t// State persistence\n173\t// ──────────────────────────────────────────────────────────────────────────────\n174\t\n175\t/// Persisted state for the Reflect strand.\n176\t#[derive(Debug, Serialize, Deserialize)]\n177\tstruct ReflectState {\n178\t    /// Timestamp of the last successful consolidation.\n179\t    last_consolidation: DateTime<Utc>,\n180\t    /// Total closed beads at the time of last consolidation.\n181\t    beads_at_last_consolidation: u64,\n182\t}\n183\t\n184\timpl ReflectState {\n185\t    fn load(state_dir: &Path) -> Result<Option<Self>> {\n186\t        let path = state_dir.join(\"reflect_state.json\");\n187\t        if !path.exists() {\n188\t            return Ok(None);\n189\t        }\n190\t        let content = std::fs::read_to_string(&path)\n191\t            .with_context(|| format!(\"failed to read reflect state: {}\", path.display()))?;\n192\t        let state: ReflectState =\n193\t            serde_json::from_str(&content).with_context(|| \"failed to parse reflect state\")?;\n194\t        Ok(Some(state))\n195\t    }\n196\t\n197\t    fn save(&self, state_dir: &Path) -> Result<()> {\n198\t        std::fs::create_dir_all(state_dir)\n199\t            .with_context(|| format!(\"failed to create state dir: {}\", state_dir.display()))?;\n200\t        let path = state_dir.join(\"reflect_state.json\");\n201\t        let content = serde_json::to_string_pretty(self)?;\n202\t        std::fs::write(&path, content)\n203\t            .with_context(|| format!(\"failed to write reflect state: {}\", path.display()))?;\n204\t        Ok(())\n205\t    }\n206\t}\n207\t\n208\t// ──────────────────────────────────────────────────────────────────────────────\n209\t// Bead record (minimal, parsed from issues.jsonl)\n210\t// ──────────────────────────────────────────────────────────────────────────────\n211\t\n212\t/// Minimal closed-bead record read from issues.jsonl.\n213\t#[derive(Debug, Deserialize)]\n214\tstruct ClosedBeadRecord {\n215\t    id: String,\n216\t    title: Option<String>,\n217\t    status: String,\n218\t    close_reason: Option<String>,\n219\t    closed_at: Option<DateTime<Utc>>,\n220\t    assignee: Option<String>,\n221\t    #[serde(default)]\n222\t    labels: Vec<String>,\n223\t}\n224\t\n225\t// ──────────────────────────────────────────────────────────────────────────────\n226\t// Summary\n227\t// ──────────────────────────────────────────────────────────────────────────────\n228\t\n229\t/// Work performed during one Reflect cycle.\n230\t#[derive(Debug, Default)]\n231\tpub struct ReflectSummary {\n232\t    pub beads_processed: usize,\n233\t    pub learnings_added: usize,\n234\t    pub learnings_pruned: usize,\n235\t    pub skills_promoted: usize,\n236\t    /// Number of learnings promoted to the global learnings file.\n237\t    pub global_learnings_promoted: usize,\n238\t    /// Number of retrospectives extracted by the agent.\n239\t    pub agent_extractions: usize,\n240\t    /// Number of transcripts processed.\n241\t    pub transcripts_processed: usize,\n242\t    /// Number of learnings extracted from transcripts.\n243\t    pub transcript_learnings_added: usize,\n244\t    /// Number of learnings placed in CLAUDE.md files.\n245\t    pub claude_md_placed: usize,\n246\t    /// Number of drift clusters detected.\n247\t    pub drift_clusters_found: usize,\n248\t    /// Number of learnings extracted from drift clusters.\n249\t    pub drift_learnings_added: usize,\n250\t    /// Number of ADR decisions detected.\n251\t    pub adr_decisions_detected: usize,\n252\t}\n253\t\n254\t// ──────────────────────────────────────────────────────────────────────────────\n255\t// Strand\n256\t// ──────────────────────────────────────────────────────────────────────────────\n257\t\n258\t/// The Reflect strand — meta-analysis and learning consolidation.\n259\tpub struct ReflectStrand {\n260\t    config: ReflectConfig,\n261\t    workspace: PathBuf,\n262\t    state_dir: PathBuf,\n263\t    telemetry: Telemetry,\n264\t    /// Other workspaces to scan for cross-workspace patterns.\n265\t    known_workspaces: Vec<PathBuf>,\n266\t    /// Path to the global learnings file.\n267\t    global_learnings_path: PathBuf,\n268\t    /// Maximum entries in the global learnings file.\n269\t    max_global_learnings: usize,\n270\t    /// Optional agent for extracting retrospectives from close bodies.\n271\t    agent: Option<Box<dyn ReflectAgent>>,\n272\t}\n273\t\n274\timpl ReflectStrand {\n275\t    /// Create a new ReflectStrand.\n276\t    ///\n277\t    /// - `config`: reflect strand configuration\n278\t    /// - `workspace`: workspace root (where `.beads/` lives)\n279\t    /// - `state_dir`: directory for persisting reflect state (`~/.needle/state/reflect/`)\n280\t    /// - `telemetry`: telemetry emitter\n281\t    /// - `agent`: optional agent for extracting retrospectives from close bodies\n282\t    pub fn new(\n283\t        config: ReflectConfig,\n284\t        workspace: PathBuf,\n285\t        state_dir: PathBuf,\n286\t        telemetry: Telemetry,\n287\t        agent: Option<Box<dyn ReflectAgent>>,\n288\t    ) -> Self {\n289\t        ReflectStrand {\n290\t            config,\n291\t            workspace,\n292\t            state_dir,\n293\t            telemetry,\n294\t            known_workspaces: Vec::new(),\n295\t            global_learnings_path: PathBuf::new(),\n296\t            max_global_learnings: 40,\n297\t            agent,\n298\t        }\n299\t    }\n300\t\n301\t    /// Configure cross-workspace detection and global learnings promotion.\n302\t    ///\n303\t    /// - `known_workspaces`: other workspace paths to check for matching patterns\n304\t    /// - `global_learnings_path`: path to `~/.config/needle/global-learnings.md`\n305\t    /// - `max_global_learnings`: cap on total entries in the global file (default: 40)\n306\t    pub fn with_global(\n307\t        mut self,\n308\t        known_workspaces: Vec<PathBuf>,\n309\t        global_learnings_path: PathBuf,\n310\t        max_global_learnings: usize,\n311\t    ) -> Self {\n312\t        self.known_workspaces = known_workspaces;\n313\t        self.global_learnings_path = global_learnings_path;\n314\t        self.max_global_learnings = max_global_learnings;\n315\t        self\n316\t    }\n317\t\n318\t    /// Run the four-phase consolidation cycle.\n319\t    ///\n320\t    /// `force` bypasses cooldown and minimum bead threshold checks (used by\n321\t    /// the `needle reflect` CLI command).\n322\t    pub async fn consolidate(&self, force: bool) -> Result<ReflectSummary> {\n323\t        // ── Phase 1: Orient ───────────────────────────────────────────────────\n324\t        let state = ReflectState::load(&self.state_dir)?;\n325\t\n326\t        let issues_path = self.workspace.join(\".beads\").join(\"issues.jsonl\");\n327\t        if !issues_path.exists() {\n328\t            tracing::debug!(\"reflect: no issues.jsonl found, skipping\");\n329\t            return Ok(ReflectSummary::default());\n330\t        }\n331\t\n332\t        // Count total closed beads and collect those since last consolidation.\n333\t        let all_closed = self.read_closed_beads(&issues_path)?;\n334\t        let total_closed = all_closed.len() as u64;\n335\t\n336\t        let since_last: Vec<&ClosedBeadRecord> = match &state {\n337\t            Some(s) => all_closed\n338\t                .iter()\n339\t                .filter(|b| {\n340\t                    b.closed_at\n341\t                        .map(|t| t > s.last_consolidation)\n342\t                        .unwrap_or(false)\n343\t                })\n344\t                .collect(),\n345\t            None => all_closed.iter().collect(),\n346\t        };\n347\t\n348\t        let beads_since = since_last.len();\n349\t\n350\t        if !force {\n351\t            // Check minimum bead threshold.\n352\t            if beads_since < self.config.min_beads_since_last {\n353\t                tracing::debug!(\n354\t                    beads_since,\n355\t                    threshold = self.config.min_beads_since_last,\n356\t                    \"reflect: below minimum bead threshold, skipping\"\n357\t                );\n358\t                let _ = self.telemetry.emit(EventKind::ReflectSkipped {\n359\t                    reason: format!(\n360\t                        \"only {} beads closed since last consolidation (need {})\",\n361\t                        beads_since, self.config.min_beads_since_last\n362\t                    ),\n363\t                });\n364\t                return Ok(ReflectSummary::default());\n365\t            }\n366\t\n367\t            // Check cooldown.\n368\t            if let Some(s) = &state {\n369\t                let hours_since = (Utc::now() - s.last_consolidation).num_hours() as u64;\n370\t                if hours_since < self.config.cooldown_hours {\n371\t                    tracing::debug!(\n372\t                        hours_since,\n373\t                        cooldown = self.config.cooldown_hours,\n374\t                        \"reflect: cooldown not elapsed, skipping\"\n375\t                    );\n376\t                    let _ = self.telemetry.emit(EventKind::ReflectSkipped {\n377\t                        reason: format!(\n378\t                            \"cooldown not elapsed ({}/{}h)\",\n379\t                            hours_since, self.config.cooldown_hours\n380\t                        ),\n381\t                    });\n382\t                    return Ok(ReflectSummary::default());\n383\t                }\n384\t            }\n385\t        }\n386\t\n387\t        let _ = self.telemetry.emit(EventKind::ReflectStarted {\n388\t            beads_since_last: beads_since,\n389\t        });\n390\t\n391\t        tracing::info!(beads_since, force, \"reflect: starting consolidation cycle\");\n392\t\n393\t        // ── Phase 2: Gather ───────────────────────────────────────────────────\n394\t        let mut retro_entries: Vec<(String, Retrospective)> = Vec::new();\n395\t        let mut agent_extraction_count = 0usize;\n396\t\n397\t        for bead in &since_last {\n398\t            if let Some(reason) = &bead.close_reason {\n399\t                match Retrospective::parse_from_close_body(reason) {\n400\t                    Ok(Some(retro)) if retro.is_meaningful() => {\n401\t                        retro_entries.push((bead.id.clone(), retro));\n402\t                    }\n403\t                    Ok(_) => {\n404\t                        // No explicit retrospective — try agent extraction\n405\t                        if let Some(agent) = &self.agent {\n406\t                            if agent_extraction_count < self.config.max_extraction_per_run {\n407\t                                let title = bead.title.as_deref().unwrap_or(&bead.id);\n408\t                                match agent\n409\t                                    .extract_retrospective(title, reason, &self.workspace)\n410\t                                    .await\n411\t                                {\n412\t                                    Ok(Some(retro)) if retro.is_meaningful() => {\n413\t                                        retro_entries.push((bead.id.clone(), retro));\n414\t                                        agent_extraction_count += 1;\n415\t                                    }\n416\t                                    Ok(_) => {}\n417\t                                    Err(e) => {\n418\t                                        tracing::warn!(\n419\t                                            bead_id = %bead.id,\n420\t                                            error = %e,\n421\t                                            \"reflect: agent extraction failed\"\n422\t                                        );\n423\t                                    }\n424\t                                }\n425\t                            }\n426\t                        }\n427\t                    }\n428\t                    Err(e) => {\n429\t                        tracing::warn!(bead_id = %bead.id, error = %e, \"failed to parse retrospective\");\n430\t                    }\n431\t                }\n432\t            }\n433\t        }\n434\t\n435\t        tracing::debug!(\n436\t            retro_count = retro_entries.len(),\n437\t            agent_extraction_count,\n438\t            \"reflect: gathered retrospectives\"\n439\t        );\n440\t\n441\t        // Gather transcripts and extract learning entries\n442\t        let (transcripts, transcript_entries) = self.extract_from_transcripts()\n443\t            .unwrap_or_else(|e| {\n444\t                tracing::warn!(error = %e, \"reflect: transcript extraction failed, continuing without transcripts\");\n445\t                (Vec::new(), Vec::new())\n446\t            });\n447\t\n448\t        let transcript_count = transcripts.len();\n449\t\n450\t        tracing::debug!(\n451\t            transcript_count,\n452\t            transcript_entries = transcript_entries.len(),\n453\t            \"reflect: gathered transcript entries\"\n454\t        );\n455\t\n456\t        // Detect drift across sessions\n457\t        let (drift_clusters_found, drift_entries) =\n458\t            self.detect_drift(&transcripts).unwrap_or_else(|e| {\n459\t                tracing::warn!(error = %e, \"reflect: drift detection failed, continuing\");\n460\t                (0, Vec::new())\n461\t            });\n462\t\n463\t        if drift_clusters_found > 0 {\n464\t            tracing::info!(\n465\t                drift_clusters_found,\n466\t                drift_learnings = drift_entries.len(),\n467\t                \"reflect: detected drift across sessions\"\n468\t            );\n469\t        }\n470\t\n471\t        // Detect decision points for ADR records\n472\t        let adr_decisions_detected = self.detect_decisions(&transcripts).unwrap_or_else(|e| {\n473\t            tracing::warn!(error = %e, \"reflect: ADR decision detection failed, continuing\");\n474\t            0\n475\t        });\n476\t\n477\t        if adr_decisions_detected > 0 {\n478\t            tracing::info!(\n479\t                adr_decisions_detected,\n480\t                \"reflect: detected ADR decision points\"\n481\t            );\n482\t        }\n483\t\n484\t        // ── Phase 3: Consolidate ──────────────────────────────────────────────\n485\t        let mut learnings = LearningsFile::load(&self.workspace)?;\n486\t        let mut summary = ReflectSummary {\n487\t            beads_processed: beads_since,\n488\t            ..Default::default()\n489\t        };\n490\t\n491\t        // Extract learning entries from retrospectives.\n492\t        let mut candidate_entries: Vec<LearningEntry> = Vec::new();\n493\t\n494\t        for (bead_id, retro) in &retro_entries {\n495\t            // Determine bead type from labels if available.\n496\t            let bead_type = self.infer_bead_type_from_id(bead_id, &all_closed);\n497\t            let worker = self.infer_worker_from_id(bead_id, &all_closed);\n498\t\n499\t            if let Some(text) = &retro.reusable_pattern {\n500\t                candidate_entries.push(LearningEntry::new(\n501\t                    bead_id.clone(),\n502\t                    worker.clone(),\n503\t                    bead_type.clone(),\n504\t                    text.clone(),\n505\t                    Confidence::High,\n506\t                    format!(\"reusable-pattern from {bead_id}\"),\n507\t                ));\n508\t            }\n509\t            if let Some(text) = &retro.what_worked {\n510\t                candidate_entries.push(LearningEntry::new(\n511\t                    bead_id.clone(),\n512\t                    worker.clone(),\n513\t                    bead_type.clone(),\n514\t                    text.clone(),\n515\t                    Confidence::Medium,\n516\t                    format!(\"what-worked from {bead_id}\"),\n517\t                ));\n518\t            }\n519\t            if let Some(text) = &retro.surprise {\n520\t                candidate_entries.push(LearningEntry::new(\n521\t                    bead_id.clone(),\n522\t                    worker.clone(),\n523\t                    bead_type.clone(),\n524\t                    text.clone(),\n525\t                    Confidence::Medium,\n526\t                    format!(\"surprise from {bead_id}\"),\n527\t                ));\n528\t            }\n529\t            if let Some(text) = &retro.what_didnt {\n530\t                candidate_entries.push(LearningEntry::new(\n531\t                    bead_id.clone(),\n532\t                    worker.clone(),\n533\t                    bead_type.clone(),\n534\t                    text.clone(),\n535\t                    Confidence::Low,\n536\t                    format!(\"what-didnt-work from {bead_id}\"),\n537\t                ));\n538\t            }\n539\t        }\n540\t\n541\t        // Add transcript-derived and drift-derived entries to candidates\n542\t        let transcript_entry_count = transcript_entries.len();\n543\t        let _drift_entry_count = drift_entries.len();\n544\t        let retro_entry_count = candidate_entries.len();\n545\t        candidate_entries.extend(transcript_entries);\n546\t        candidate_entries.extend(drift_entries);\n547\t\n548\t        // Reinforce existing entries that match any closed bead ID, then add\n549\t        // non-duplicate candidates up to max_learnings_per_run.\n550\t        for bead in &since_last {\n551\t            let _ = learnings.reinforce_entry(&bead.id);\n552\t        }\n553\t\n554\t        let mut added = 0usize;\n555\t        let mut transcript_added = 0usize;\n556\t        let mut drift_added = 0usize;\n557\t        for (idx, candidate) in candidate_entries.into_iter().enumerate() {\n558\t            if added >= self.config.max_learnings_per_run {\n559\t                break;\n560\t            }\n561\t            // Skip if a similar entry already exists (dedup).\n562\t            let similar = learnings.find_similar(&candidate.observation);\n563\t            if !similar.is_empty() {\n564\t                // Reinforce the most similar entry instead of adding a duplicate.\n565\t                let most_similar_id = similar[0].bead_id.clone();\n566\t                let _ = learnings.reinforce_entry(&most_similar_id);\n567\t                let _ = self.telemetry.emit(EventKind::ReflectLearningDeduplicated {\n568\t                    learning_id: candidate.bead_id.clone(),\n569\t                    existing_entry: most_similar_id,\n570\t                });\n571\t                continue;\n572\t            }\n573\t            learnings.add_entry(candidate)?;\n574\t            added += 1;\n575\t            // Track source: transcript entries come after retro entries,\n576\t            // drift entries come after transcript entries\n577\t            if idx >= retro_entry_count && idx < retro_entry_count + transcript_entry_count {\n578\t                transcript_added += 1;\n579\t            } else if idx >= retro_entry_count + transcript_entry_count {\n580\t                drift_added += 1;\n581\t            }\n582\t        }\n583\t        summary.learnings_added = added;\n584\t        summary.transcripts_processed = transcript_count;\n585\t        summary.transcript_learnings_added = transcript_added;\n586\t        summary.drift_learnings_added = drift_added;\n587\t\n588\t        // Promote high-reinforcement entries to skill files.\n589\t        let promoted = self.promote_to_skills(learnings.entries())?;\n590\t        summary.skills_promoted = promoted;\n591\t\n592\t        // Promote cross-workspace patterns to global learnings.\n593\t        let global_promoted = self.promote_cross_workspace_patterns(&learnings)?;\n594\t        summary.global_learnings_promoted = global_promoted;\n595\t\n596\t        // Promote learnings to CLAUDE.md files at appropriate ancestor levels.\n597\t        let claude_md_promoted = self.promote_to_claude_md(&learnings)?;\n598\t        summary.claude_md_placed = claude_md_promoted;\n599\t        summary.agent_extractions = agent_extraction_count;\n600\t        summary.drift_clusters_found = drift_clusters_found;\n601\t        summary.adr_decisions_detected = adr_decisions_detected;\n602\t\n603\t        // ── Phase 4: Prune ────────────────────────────────────────────────────\n604\t        let pruned = learnings.prune_stale()?;\n605\t        summary.learnings_pruned = pruned;\n606\t\n607\t        // Enforce max_learnings cap.\n608\t        let over_limit = learnings.consolidate(self.config.max_learnings)?;\n609\t        summary.learnings_pruned += over_limit;\n610\t\n611\t        // Persist updated state.\n612\t        let new_state = ReflectState {\n613\t            last_consolidation: Utc::now(),\n614\t            beads_at_last_consolidation: total_closed,\n615\t        };\n616\t        new_state.save(&self.state_dir)?;\n617\t\n618\t        let _ = self.telemetry.emit(EventKind::ReflectConsolidated {\n619\t            learnings_added: summary.learnings_added,\n620\t            learnings_pruned: summary.learnings_pruned,\n621\t            skills_promoted: summary.skills_promoted,\n622\t            beads_processed: summary.beads_processed,\n623\t        });\n624\t\n625\t        tracing::info!(\n626\t            learnings_added = summary.learnings_added,\n627\t            learnings_pruned = summary.learnings_pruned,\n628\t            skills_promoted = summary.skills_promoted,\n629\t            beads_processed = summary.beads_processed,\n630\t            \"reflect: consolidation complete\"\n631\t        );\n632\t\n633\t        Ok(summary)\n634\t    }\n635\t\n636\t    // ── Helpers ───────────────────────────────────────────────────────────────\n637\t\n638\t    /// Read all closed beads from issues.jsonl.\n639\t    fn read_closed_beads(&self, issues_path: &Path) -> Result<Vec<ClosedBeadRecord>> {\n640\t        let content = std::fs::read_to_string(issues_path)\n641\t            .with_context(|| format!(\"failed to read {}\", issues_path.display()))?;\n642\t\n643\t        let mut beads = Vec::new();\n644\t        for (line_no, line) in content.lines().enumerate() {\n645\t            let line = line.trim();\n646\t            if line.is_empty() {\n647\t                continue;\n648\t            }\n649\t            match serde_json::from_str::<ClosedBeadRecord>(line) {\n650\t                Ok(record) if record.status == \"closed\" => beads.push(record),\n651\t                Ok(_) => {}\n652\t                Err(e) => {\n653\t                    tracing::warn!(line = line_no + 1, error = %e, \"reflect: failed to parse issues.jsonl line\");\n654\t                }\n655\t            }\n656\t        }\n657\t        Ok(beads)\n658\t    }\n659\t\n660\t    /// Infer bead type from labels in the closed bead record.\n661\t    fn infer_bead_type_from_id(&self, bead_id: &str, all_closed: &[ClosedBeadRecord]) -> BeadType {\n662\t        let record = all_closed.iter().find(|b| b.id == bead_id);\n663\t        if let Some(rec) = record {\n664\t            for label in &rec.labels {\n665\t                if let Some(bt) = BeadType::from_str(label) {\n666\t                    return bt;\n667\t                }\n668\t            }\n669\t        }\n670\t        BeadType::Other\n671\t    }\n672\t\n673\t    /// Infer worker from the assignee field of the closed bead record.\n674\t    fn infer_worker_from_id(&self, bead_id: &str, all_closed: &[ClosedBeadRecord]) -> String {\n675\t        all_closed\n676\t            .iter()\n677\t            .find(|b| b.id == bead_id)\n678\t            .and_then(|b| b.assignee.clone())\n679\t            .unwrap_or_else(|| \"unknown\".to_string())\n680\t    }\n681\t\n682\t    /// Promote learning entries with reinforcement_count >= 3 to skill files.\n683\t    ///\n684\t    /// Creates `.beads/skills/<slug>.md` for each promoted entry.\n685\t    /// Returns the number of skills created this run.\n686\t    fn promote_to_skills(&self, entries: &[LearningEntry]) -> Result<usize> {\n687\t        let skills_dir = self.workspace.join(\".beads\").join(\"skills\");\n688\t        let mut promoted = 0usize;\n689\t\n690\t        // Build set of already-promoted bead IDs to avoid re-promoting.\n691\t        let already_promoted = self.read_promoted_ids(&skills_dir);\n692\t\n693\t        for entry in entries {\n694\t            if promoted >= self.config.max_skills_per_run {\n695\t                break;\n696\t            }\n697\t            if entry.reinforcement_count < 3 {\n698\t                continue;\n699\t            }\n700\t            if already_promoted.contains(&entry.bead_id) {\n701\t                continue;\n702\t            }\n703\t\n704\t            match self.write_skill_file(&skills_dir, entry) {\n705\t                Ok(()) => promoted += 1,\n706\t                Err(e) => {\n707\t                    tracing::warn!(bead_id = %entry.bead_id, error = %e, \"reflect: failed to write skill file\");\n708\t                }\n709\t            }\n710\t        }\n711\t\n712\t        Ok(promoted)\n713\t    }\n714\t\n715\t    /// Read the set of bead IDs that have already been promoted to skills.\n716\t    fn read_promoted_ids(&self, _skills_dir: &Path) -> std::collections::HashSet<String> {\n717\t        match SkillLibrary::load(&self.workspace) {\n718\t            Ok(lib) => lib.promoted_source_beads(),\n719\t            Err(e) => {\n720\t                tracing::warn!(error = %e, \"reflect: failed to load skill library for promoted IDs\");\n721\t                std::collections::HashSet::new()\n722\t            }\n723\t        }\n724\t    }\n725\t\n726\t    /// Scan known workspaces for learnings that match entries in the current workspace,\n727\t    /// promoting matches (cross-workspace patterns) to the global learnings file.\n728\t    ///\n729\t    /// An entry is promoted when a similar observation appears in at least one other\n730\t    /// known workspace. Returns the number of entries promoted this run.\n731\t    fn promote_cross_workspace_patterns(&self, learnings: &LearningsFile) -> Result<usize> {\n732\t        // Skip when not configured.\n733\t        if self.global_learnings_path.as_os_str().is_empty() || self.known_workspaces.is_empty() {\n734\t            return Ok(0);\n735\t        }\n736\t\n737\t        let mut global = GlobalLearningsFile::load(&self.global_learnings_path)?;\n738\t\n739\t        // Load learnings files for all known workspaces, skipping failures.\n740\t        let mut other_learnings: Vec<LearningsFile> = Vec::new();\n741\t        for ws in &self.known_workspaces {\n742\t            match LearningsFile::load(ws) {\n743\t                Ok(lf) if !lf.entries().is_empty() => other_learnings.push(lf),\n744\t                Ok(_) => {}\n745\t                Err(e) => {\n746\t                    tracing::warn!(\n747\t                        workspace = %ws.display(),\n748\t                        error = %e,\n749\t                        \"reflect: failed to load learnings for cross-workspace scan\"\n750\t                    );\n751\t                }\n752\t            }\n753\t        }\n754\t\n755\t        if other_learnings.is_empty() {\n756\t            return Ok(0);\n757\t        }\n758\t\n759\t        let mut promoted = 0usize;\n760\t\n761\t        for entry in learnings.entries() {\n762\t            // Check if any other workspace has a similar observation.\n763\t            let appears_in_other = other_learnings\n764\t                .iter()\n765\t                .any(|other| !other.find_similar(&entry.observation).is_empty());\n766\t\n767\t            if !appears_in_other {\n768\t                continue;\n769\t            }\n770\t\n771\t            if global.promote(entry.clone(), self.max_global_learnings) {\n772\t                promoted += 1;\n773\t                let _ = self.telemetry.emit(EventKind::ReflectLearningPromoted {\n774\t                    learning_id: entry.bead_id.clone(),\n775\t                    target_path: self.global_learnings_path.display().to_string(),\n776\t                    workspace_count: self.known_workspaces.len() + 1,\n777\t                    is_decision: entry.decision_context.is_some(),\n778\t                });\n779\t                tracing::info!(\n780\t                    bead_id = %entry.bead_id,\n781\t                    observation = %entry.observation,\n782\t                    \"reflect: promoted cross-workspace learning to global\"\n783\t                );\n784\t            }\n785\t        }\n786\t\n787\t        if promoted > 0 {\n788\t            global.write()?;\n789\t        }\n790\t\n791\t        Ok(promoted)\n792\t    }\n793\t\n794\t    /// Promote high-reinforcement learnings to CLAUDE.md files using the lowest common ancestor strategy.\n795\t    ///\n796\t    /// When a learning appears across multiple workspaces, it's written to the CLAUDE.md\n797\t    /// at the lowest common ancestor directory covering all contributing workspaces.\n798\t    /// Single-workspace learnings go to that workspace's CLAUDE.md.\n799\t    fn promote_to_claude_md(&self, learnings: &LearningsFile) -> Result<usize> {\n800\t        use crate::claude_md_placement::{ClaudeMdPlacer, PromotedLearning};\n801\t\n802\t        // Skip when not configured\n803\t        if !self.config.claude_md_placement {\n804\t            return Ok(0);\n805\t        }\n806\t\n807\t        // Skip if no known workspaces configured\n808\t        if self.known_workspaces.is_empty() {\n809\t            return Ok(0);\n810\t        }\n811\t\n812\t        // Build workspace list including current workspace\n813\t        let mut all_workspaces = vec![self.workspace.clone()];\n814\t        all_workspaces.extend(self.known_workspaces.clone());\n815\t\n816\t        // Create placer with all known workspaces\n817\t        let placer = ClaudeMdPlacer::new(all_workspaces.clone());\n818\t\n819\t        // Load learnings from all workspaces to find cross-workspace patterns\n820\t        let mut workspace_learnings: std::collections::HashMap<PathBuf, Vec<LearningEntry>> =\n821\t            std::collections::HashMap::new();\n822\t\n823\t        for ws in &all_workspaces {\n824\t            match LearningsFile::load(ws) {\n825\t                Ok(lf) if !lf.entries().is_empty() => {\n826\t                    workspace_learnings.insert(ws.clone(), lf.entries().to_vec());\n827\t                }\n828\t                Ok(_) => {}\n829\t                Err(e) => {\n830\t                    tracing::warn!(\n831\t                        workspace = %ws.display(),\n832\t                        error = %e,\n833\t                        \"reflect: failed to load learnings for CLAUDE.md placement\"\n834\t                    );\n835\t                }\n836\t            }\n837\t        }\n838\t\n839\t        let mut placed = 0usize;\n840\t\n841\t        // For each entry in current workspace, check if it appears in other workspaces\n842\t        for entry in learnings.entries() {\n843\t            // Only promote high-confidence or high-reinforcement entries\n844\t            if entry.confidence != crate::learning::Confidence::High\n845\t                && entry.reinforcement_count < 2\n846\t            {\n847\t                continue;\n848\t            }\n849\t\n850\t            let mut matching_workspaces = vec![self.workspace.clone()];\n851\t\n852\t            for (ws, entries) in &workspace_learnings {\n853\t                if ws == &self.workspace {\n854\t                    continue;\n855\t                }\n856\t\n857\t                // Check if any entry in this workspace is similar\n858\t                let has_similar = entries\n859\t                    .iter()\n860\t                    .any(|e| observations_similar(&e.observation, &entry.observation));\n861\t\n862\t                if has_similar {\n863\t                    matching_workspaces.push(ws.clone());\n864\t                }\n865\t            }\n866\t\n867\t            // Place the learning at the appropriate CLAUDE.md\n868\t            let promoted = PromotedLearning::new(entry.clone(), matching_workspaces);\n869\t            match placer.place_learning(&promoted) {\n870\t                Ok(true) => {\n871\t                    placed += 1;\n872\t                    // The placer doesn't return the exact path, so we use the workspace info\n873\t                    let target_path = if promoted.source_workspaces.len() > 1 {\n874\t                        // Cross-workspace learning - would be placed at LCA\n875\t                        format!(\"LCA of {} workspaces\", promoted.source_workspaces.len())\n876\t                    } else {\n877\t                        self.workspace.join(\"CLAUDE.md\").display().to_string()\n878\t                    };\n879\t                    let _ = self.telemetry.emit(EventKind::ReflectClaudeMdWritten {\n880\t                        path: target_path,\n881\t                        entries_added: 1,\n882\t                        entries_updated: 0,\n883\t                    });\n884\t                    tracing::info!(\n885\t                        bead_id = %entry.bead_id,\n886\t                        observation = %entry.observation,\n887\t                        workspaces = ?promoted.source_workspaces,\n888\t                        \"reflect: placed learning in CLAUDE.md\"\n889\t                    );\n890\t                }\n891\t                Ok(false) => {\n892\t                    // Duplicate, skipped\n893\t                }\n894\t                Err(e) => {\n895\t                    tracing::warn!(\n896\t                        bead_id = %entry.bead_id,\n897\t                        error = %e,\n898\t                        \"reflect: failed to place learning in CLAUDE.md\"\n899\t                    );\n900\t                }\n901\t            }\n902\t        }\n903\t\n904\t        Ok(placed)\n905\t    }\n906\t\n907\t    /// Write a skill file for a promoted learning entry (YAML frontmatter format).\n908\t    fn write_skill_file(&self, skills_dir: &Path, entry: &LearningEntry) -> Result<()> {\n909\t        std::fs::create_dir_all(skills_dir)\n910\t            .with_context(|| format!(\"failed to create skills dir: {}\", skills_dir.display()))?;\n911\t\n912\t        let slug = slugify(&entry.observation);\n913\t        let filename = format!(\"{}-{}.md\", &slug[..slug.len().min(40)], &entry.bead_id);\n914\t        let path = skills_dir.join(&filename);\n915\t\n916\t        let frontmatter = SkillFrontmatter {\n917\t            task_types: vec![entry.bead_type.as_str().to_string()],\n918\t            labels: vec![],\n919\t            success_count: 0,\n920\t            last_used: None,\n921\t            source_beads: vec![entry.bead_id.clone()],\n922\t        };\n923\t\n924\t        let body = format!(\n925\t            \"## {}\\n\\n{}\\n\\n**Worker:** {}\\n**Source:** {}\\n\",\n926\t            truncate(&entry.observation, 60),\n927\t            entry.observation,\n928\t            entry.worker,\n929\t            entry.source,\n930\t        );\n931\t\n932\t        let content = render_skill_file(&frontmatter, &body)\n933\t            .with_context(|| format!(\"failed to render skill file: {filename}\"))?;\n934\t\n935\t        std::fs::write(&path, content)\n936\t            .with_context(|| format!(\"failed to write skill file: {}\", path.display()))?;\n937\t\n938\t        tracing::info!(\n939\t            bead_id = %entry.bead_id,\n940\t            file = %filename,\n941\t            reinforcement_count = entry.reinforcement_count,\n942\t            \"reflect: promoted learning to skill file\"\n943\t        );\n944\t        Ok(())\n945\t    }\n946\t\n947\t    /// Discover and parse recent transcripts, extract learning entries from them.\n948\t    ///\n949\t    /// Returns a tuple of (transcripts, learning_entries).\n950\t    fn extract_from_transcripts(&self) -> Result<(Vec<ParsedTranscript>, Vec<LearningEntry>)> {\n951\t        use std::collections::HashMap;\n952\t\n953\t        // Create transcript discovery with recency cutoff\n954\t        let recency_cutoff =\n955\t            Utc::now() - Duration::days(self.config.transcript_recency_days as i64);\n956\t\n957\t        // Build the full workspace list: primary + known (for multi-workspace support)\n958\t        let transcripts = if self.known_workspaces.is_empty() {\n959\t            TranscriptDiscovery::new(\n960\t                &self.workspace,\n961\t                None, // Use default ~/.claude\n962\t                self.config.transcript_max_sessions,\n963\t            )\n964\t            .with_recency_cutoff(recency_cutoff)\n965\t            .discover()\n966\t            .with_context(|| \"failed to discover transcripts\")?\n967\t        } else {\n968\t            let mut all_workspaces = vec![self.workspace.as_path()];\n969\t            all_workspaces.extend(self.known_workspaces.iter().map(|p| p.as_path()));\n970\t\n971\t            crate::transcript::discover_workspaces(\n972\t                &all_workspaces,\n973\t                None, // Use default ~/.claude\n974\t                self.config.transcript_max_sessions,\n975\t                self.config.transcript_max_sessions,\n976\t                Some(recency_cutoff),\n977\t            )\n978\t            .with_context(|| \"failed to discover transcripts across workspaces\")?\n979\t        };\n980\t\n981\t        if transcripts.is_empty() {\n982\t            return Ok((Vec::new(), Vec::new()));\n983\t        }\n984\t\n985\t        tracing::debug!(\n986\t            count = transcripts.len(),\n987\t            \"reflect: discovered recent transcripts\"\n988\t        );\n989\t\n990\t        let _ = self.telemetry.emit(EventKind::ReflectTranscriptsRead {\n991\t            sessions_count: transcripts.len(),\n992\t            entries_count: transcripts.iter().map(|t| t.actions.len()).sum(),\n993\t            parse_errors: 0, // TODO: track parse errors if discovery reports them\n994\t        });\n995\t\n996\t        let mut entries: Vec<LearningEntry> = Vec::new();\n997\t        let mut tool_usage_counts: HashMap<String, usize> = HashMap::new();\n998\t\n999\t        for transcript in &transcripts {\n1000\t            // Count tool usage patterns\n1001\t            for action in &transcript.actions {\n1002\t                if let Some(ref tool_name) = action.tool_name {\n1003\t                    *tool_usage_counts.entry(tool_name.clone()).or_insert(0) += 1;\n1004\t                }\n1005\t            }\n1006\t\n1007\t            // Extract bead ID if present\n1008\t            let bead_id = transcript\n1009\t                .bead_id\n1010\t                .clone()\n1011\t                .unwrap_or_else(|| BeadId::from(format!(\"session-{}\", transcript.session_id)));\n1012\t            let bead_id_str = bead_id.to_string();\n1013\t\n1014\t            // Infer worker from context or use \"needle\"\n1015\t            let worker = \"needle\".to_string();\n1016\t\n1017\t            // Detect decisions in this transcript (ADR-style extraction)\n1018\t            let decisions = crate::transcript::detect_decisions(transcript);\n1019\t            for decision in decisions {\n1020\t                let observation = format!(\"Decision: {}\", truncate(&decision.decision, 200));\n1021\t\n1022\t                // Convert detected decision to learning entry with ADR context\n1023\t                let decision_context: crate::learning::DecisionContext = decision.clone().into();\n1024\t                let entry = LearningEntry::with_adr_context(\n1025\t                    bead_id_str.clone(),\n1026\t                    worker.clone(),\n1027\t                    BeadType::Feature, // Decisions often relate to feature choices\n1028\t                    observation,\n1029\t                    Confidence::Medium, // Decisions get medium confidence by default\n1030\t                    format!(\"transcript decision: {}\", transcript.session_id),\n1031\t                    decision_context,\n1032\t                );\n1033\t                entries.push(entry);\n1034\t\n1035\t                let _ = self.telemetry.emit(EventKind::ReflectDecisionExtracted {\n1036\t                    bead_id: bead_id.clone(),\n1037\t                    has_alternatives: !decision.alternatives.is_empty(),\n1038\t                    rationale_length: decision.rationale.len(),\n1039\t                });\n1040\t\n1041\t                tracing::debug!(\n1042\t                    decision = %decision.decision,\n1043\t                    confidence = decision.confidence,\n1044\t                    \"reflect: extracted decision from transcript\"\n1045\t                );\n1046\t            }\n1047\t\n1048\t            // Extract learning entries from action-outcome pairs\n1049\t            for action_outcome in &transcript.action_outcomes {\n1050\t                // Create a pattern from the action-outcome pair\n1051\t                let pattern =\n1052\t                    action_outcome.to_pattern(&transcript.session_id, transcript.modified_at);\n1053\t\n1054\t                // Convert frequent patterns to learning entries\n1055\t                if pattern.is_frequent(1) {\n1056\t                    // For now, all patterns are included (frequency threshold = 1)\n1057\t                    let observation =\n1058\t                        format!(\"Action-outcome: {} → {}\", pattern.action, pattern.outcome);\n1059\t\n1060\t                    let entry = LearningEntry::new(\n1061\t                        bead_id_str.clone(),\n1062\t                        worker.clone(),\n1063\t                        BeadType::Other,\n1064\t                        observation,\n1065\t                        Confidence::Medium,\n1066\t                        format!(\"transcript action-outcome: {}\", transcript.session_id),\n1067\t                    );\n1068\t                    entries.push(entry);\n1069\t                }\n1070\t\n1071\t                // Error outcomes get higher confidence learning entries\n1072\t                if action_outcome.is_error {\n1073\t                    let observation = format!(\n1074\t                        \"Error pattern: {} — {}\",\n1075\t                        action_outcome.action_description,\n1076\t                        truncate(&action_outcome.output, 150)\n1077\t                    );\n1078\t                    entries.push(LearningEntry::new(\n1079\t                        bead_id_str.clone(),\n1080\t                        worker.clone(),\n1081\t                        BeadType::BugFix,\n1082\t                        observation,\n1083\t                        Confidence::High,\n1084\t                        format!(\"transcript error: {}\", transcript.session_id),\n1085\t                    ));\n1086\t                }\n1087\t            }\n1088\t\n1089\t            // Extract learning entries from transcript actions (non-decision patterns)\n1090\t            for action in &transcript.actions {\n1091\t                let entry = match action.action_type {\n1092\t                    crate::transcript::ActionType::ToolUse => {\n1093\t                        // For tool use, create an entry about the tool usage pattern\n1094\t                        if let Some(ref tool_name) = action.tool_name {\n1095\t                            let observation = format!(\n1096\t                                \"Tool usage pattern: {} — {}\",\n1097\t                                tool_name, action.description\n1098\t                            );\n1099\t                            Some(LearningEntry::new(\n1100\t                                bead_id_str.clone(),\n1101\t                                worker.clone(),\n1102\t                                BeadType::Other,\n1103\t                                observation,\n1104\t                                Confidence::Medium,\n1105\t                                format!(\"transcript: {}\", transcript.session_id),\n1106\t                            ))\n1107\t                        } else {\n1108\t                            None\n1109\t                        }\n1110\t                    }\n1111\t                    crate::transcript::ActionType::Text => {\n1112\t                        // For text actions, look for patterns in the output\n1113\t                        if action.description.len() > 50 {\n1114\t                            // Only extract longer text responses as patterns\n1115\t                            let observation = format!(\n1116\t                                \"Assistant response pattern: {}\",\n1117\t                                truncate(&action.description, 200)\n1118\t                            );\n1119\t                            Some(LearningEntry::new(\n1120\t                                bead_id_str.clone(),\n1121\t                                worker.clone(),\n1122\t                                BeadType::Other,\n1123\t                                observation,\n1124\t                                Confidence::Low,\n1125\t                                format!(\"transcript: {}\", transcript.session_id),\n1126\t                            ))\n1127\t                        } else {\n1128\t                            None\n1129\t                        }\n1130\t                    }\n1131\t                    crate::transcript::ActionType::Thinking => {\n1132\t                        // Thinking blocks may contain useful reasoning patterns\n1133\t                        // Note: decisions are already extracted above, so skip decision-heavy blocks\n1134\t                        if action.description.len() > 30 {\n1135\t                            let observation = format!(\n1136\t                                \"Reasoning pattern: {}\",\n1137\t                                truncate(&action.description, 200)\n1138\t                            );\n1139\t                            Some(LearningEntry::new(\n1140\t                                bead_id_str.clone(),\n1141\t                                worker.clone(),\n1142\t                                BeadType::Other,\n1143\t                                observation,\n1144\t                                Confidence::Low,\n1145\t                                format!(\"transcript: {}\", transcript.session_id),\n1146\t                            ))\n1147\t                        } else {\n1148\t                            None\n1149\t                        }\n1150\t                    }\n1151\t                };\n1152\t\n1153\t                if let Some(entry) = entry {\n1154\t                    entries.push(entry);\n1155\t                }\n1156\t            }\n1157\t        }\n1158\t\n1159\t        // Log tool usage summary\n1160\t        if !tool_usage_counts.is_empty() {\n1161\t            let mut summary: Vec<_> = tool_usage_counts.iter().collect();\n1162\t            summary.sort_by(|a, b| b.1.cmp(a.1));\n1163\t            tracing::debug!(\n1164\t                top_tools = ?summary.iter().take(5).map(|(k, v)| (k, v)).collect::<Vec<_>>(),\n1165\t                \"reflect: transcript tool usage summary\"\n1166\t            );\n1167\t        }\n1168\t\n1169\t        Ok((transcripts, entries))\n1170\t    }\n1171\t\n1172\t    /// Detect drift across sessions and write a drift report.\n1173\t    ///\n1174\t    /// Returns the number of drift clusters found and the learning entries\n1175\t    /// extracted from drift patterns for feeding into the consolidation pipeline.\n1176\t    fn detect_drift(\n1177\t        &self,\n1178\t        transcripts: &[ParsedTranscript],\n1179\t    ) -> Result<(usize, Vec<LearningEntry>)> {\n1180\t        if !self.config.drift_enabled {\n1181\t            let _ = self.telemetry.emit(EventKind::DriftDetectionSkipped {\n1182\t                reason: \"drift detection disabled in config\".to_string(),\n1183\t            });\n1184\t            return Ok((0, Vec::new()));\n1185\t        }\n1186\t\n1187\t        if transcripts.len() < 2 {\n1188\t            let _ = self.telemetry.emit(EventKind::DriftDetectionSkipped {\n1189\t                reason: format!(\"need at least 2 sessions, got {}\", transcripts.len()),\n1190\t            });\n1191\t            return Ok((0, Vec::new()));\n1192\t        }\n1193\t\n1194\t        let _ = self.telemetry.emit(EventKind::DriftDetectionStarted {\n1195\t            sessions_analyzed: transcripts.len(),\n1196\t        });\n1197\t\n1198\t        // Create drift detector with configured similarity threshold\n1199\t        let detector = DriftDetector::new(self.config.drift_similarity_threshold);\n1200\t\n1201\t        // Detect drift\n1202\t        let report = detector.detect(transcripts)?;\n1203\t\n1204\t        // Categorize clusters\n1205\t        let evolved_count = report\n1206\t            .clusters\n1207\t            .iter()\n1208\t            .filter(|c| c.category == crate::drift::DriftCategory::Evolved)\n1209\t            .count();\n1210\t        let inconsistent_count = report\n1211\t            .clusters\n1212\t            .iter()\n1213\t            .filter(|c| c.category == crate::drift::DriftCategory::Inconsistent)\n1214\t            .count();\n1215\t\n1216\t        let _ = self.telemetry.emit(EventKind::DriftDetectionCompleted {\n1217\t            sessions_analyzed: report.sessions_analyzed,\n1218\t            clusters_found: report.clusters_detected,\n1219\t            evolved_count,\n1220\t            inconsistent_count,\n1221\t        });\n1222\t\n1223\t        // Emit ReflectDriftDetected for each cluster\n1224\t        for cluster in &report.clusters {\n1225\t            let sessions: Vec<String> = cluster\n1226\t                .sessions\n1227\t                .iter()\n1228\t                .map(|s| s.session_id.clone())\n1229\t                .collect();\n1230\t            let _ = self.telemetry.emit(EventKind::ReflectDriftDetected {\n1231\t                cluster_size: cluster.sessions.len(),\n1232\t                category: cluster.category.as_str().to_string(),\n1233\t                sessions,\n1234\t            });\n1235\t        }\n1236\t\n1237\t        // Extract learning entries from drift clusters\n1238\t        let drift_entries = report.to_learning_entries();\n1239\t\n1240\t        // Emit ReflectDriftPromoted for each drift cluster that produced learning entries\n1241\t        for cluster in &report.clusters {\n1242\t            let pattern = match cluster.category {\n1243\t                crate::drift::DriftCategory::Evolved => \"evolved-solution-pattern\".to_string(),\n1244\t                crate::drift::DriftCategory::Inconsistent => {\n1245\t                    \"inconsistent-approach-pattern\".to_string()\n1246\t                }\n1247\t                crate::drift::DriftCategory::Unknown => \"divergent-approach-pattern\".to_string(),\n1248\t            };\n1249\t            let _ = self.telemetry.emit(EventKind::ReflectDriftPromoted {\n1250\t                pattern: pattern.clone(),\n1251\t                category: cluster.category.as_str().to_string(),\n1252\t            });\n1253\t        }\n1254\t\n1255\t        // Write drift report if any clusters were found\n1256\t        if report.clusters_detected > 0 {\n1257\t            let drifts_dir = self.workspace.join(\".beads\").join(\"drifts\");\n1258\t            let timestamp = Utc::now().format(\"%Y%m%d-%H%M%S\");\n1259\t            let report_path = drifts_dir.join(format!(\"drift-{}.md\", timestamp));\n1260\t\n1261\t            report.write(&report_path)?;\n1262\t\n1263\t            let _ = self.telemetry.emit(EventKind::DriftReportWritten {\n1264\t                report_path: report_path.display().to_string(),\n1265\t                clusters: report.clusters_detected,\n1266\t            });\n1267\t\n1268\t            tracing::info!(\n1269\t                report_path = %report_path.display(),\n1270\t                clusters = report.clusters_detected,\n1271\t                evolved = evolved_count,\n1272\t                inconsistent = inconsistent_count,\n1273\t                drift_learnings = drift_entries.len(),\n1274\t                \"reflect: drift detection complete\"\n1275\t            );\n1276\t        }\n1277\t\n1278\t        Ok((report.clusters_detected, drift_entries))\n1279\t    }\n1280\t\n1281\t    /// Detect decision points in transcripts and write ADR records.\n1282\t    ///\n1283\t    /// Returns the number of decisions detected.\n1284\t    fn detect_decisions(&self, transcripts: &[ParsedTranscript]) -> Result<usize> {\n1285\t        if !self.config.adr_enabled {\n1286\t            let _ = self.telemetry.emit(EventKind::DecisionDetectionSkipped {\n1287\t                reason: \"ADR decision extraction disabled in config\".to_string(),\n1288\t            });\n1289\t            return Ok(0);\n1290\t        }\n1291\t\n1292\t        if transcripts.is_empty() {\n1293\t            let _ = self.telemetry.emit(EventKind::DecisionDetectionSkipped {\n1294\t                reason: \"no transcripts to analyze\".to_string(),\n1295\t            });\n1296\t            return Ok(0);\n1297\t        }\n1298\t\n1299\t        let _ = self.telemetry.emit(EventKind::DecisionDetectionStarted {\n1300\t            sessions_analyzed: transcripts.len(),\n1301\t        });\n1302\t\n1303\t        // Create decision detector\n1304\t        let detector = crate::decision::DecisionDetector::new();\n1305\t\n1306\t        // Detect decisions\n1307\t        let analysis = detector.analyze(transcripts)?;\n1308\t\n1309\t        let _ = self.telemetry.emit(EventKind::DecisionDetectionCompleted {\n1310\t            sessions_analyzed: analysis.transcripts_analyzed,\n1311\t            decisions_found: analysis.decisions.len(),\n1312\t        });\n1313\t\n1314\t        // Write ADR records if any decisions were found\n1315\t        if !analysis.decisions.is_empty() {\n1316\t            let decisions_dir = self.workspace.join(\".beads\").join(\"decisions\");\n1317\t            std::fs::create_dir_all(&decisions_dir).with_context(|| {\n1318\t                format!(\n1319\t                    \"failed to create decisions dir: {}\",\n1320\t                    decisions_dir.display()\n1321\t                )\n1322\t            })?;\n1323\t\n1324\t            for decision in &analysis.decisions {\n1325\t                let path = decisions_dir.join(format!(\"{}.md\", decision.id));\n1326\t                let content = decision.to_adr_markdown();\n1327\t                std::fs::write(&path, content)\n1328\t                    .with_context(|| format!(\"failed to write ADR: {}\", path.display()))?;\n1329\t\n1330\t                let bead_id = decision\n1331\t                    .bead_id\n1332\t                    .clone()\n1333\t                    .unwrap_or_else(|| BeadId::from(format!(\"session-{}\", decision.session_id)));\n1334\t                let _ = self.telemetry.emit(EventKind::ReflectAdrCreated {\n1335\t                    bead_id,\n1336\t                    path: path.display().to_string(),\n1337\t                });\n1338\t\n1339\t                tracing::debug!(\n1340\t                    decision_id = %decision.id,\n1341\t                    title = %decision.title,\n1342\t                    \"reflect: wrote ADR record\"\n1343\t                );\n1344\t            }\n1345\t\n1346\t            tracing::info!(\n1347\t                decisions_count = analysis.decisions.len(),\n1348\t                \"reflect: ADR decision detection complete\"\n1349\t            );\n1350\t        }\n1351\t\n1352\t        Ok(analysis.decisions.len())\n1353\t    }\n1354\t}\n1355\t\n1356\t#[async_trait::async_trait]\n1357\timpl super::Strand for ReflectStrand {\n1358\t    fn name(&self) -> &str {\n1359\t        \"reflect\"\n1360\t    }\n1361\t\n1362\t    async fn evaluate(&self, _store: &dyn BeadStore) -> StrandResult {\n1363\t        if !self.config.enabled {\n1364\t            return StrandResult::NoWork;\n1365\t        }\n1366\t\n1367\t        match self.consolidate(false).await {\n1368\t            Ok(_) => StrandResult::NoWork,\n1369\t            Err(e) => StrandResult::Error(StrandError::ConfigError(format!(\n1370\t                \"reflect consolidation failed: {e}\"\n1371\t            ))),\n1372\t        }\n1373\t    }\n1374\t}\n1375\t\n1376\t// ──────────────────────────────────────────────────────────────────────────────\n1377\t// Utilities\n1378\t// ──────────────────────────────────────────────────────────────────────────────\n1379\t\n1380\t/// Create a URL-safe slug from a string.\n1381\tfn slugify(s: &str) -> String {\n1382\t    s.to_lowercase()\n1383\t        .chars()\n1384\t        .map(|c| if c.is_alphanumeric() { c } else { '-' })\n1385\t        .collect::<String>()\n1386\t        .split('-')\n1387\t        .filter(|s| !s.is_empty())\n1388\t        .collect::<Vec<_>>()\n1389\t        .join(\"-\")\n1390\t}\n1391\t\n1392\t/// Truncate a string to at most `max_chars` characters.\n1393\tfn truncate(s: &str, max_chars: usize) -> &str {\n1394\t    if s.len() <= max_chars {\n1395\t        s\n1396\t    } else {\n1397\t        &s[..max_chars]\n1398\t    }\n1399\t}\n1400\t\n1401\t// ──────────────────────────────────────────────────────────────────────────────\n1402\t// Tests\n1403\t// ──────────────────────────────────────────────────────────────────────────────\n1404\t\n1405\t#[cfg(test)]\n1406\tmod tests {\n1407\t    use super::*;\n1408\t    use crate::strand::Strand as _;\n1409\t\n1410\t    #[test]\n1411\t    fn slugify_basic() {\n1412\t        assert_eq!(slugify(\"Hello World!\"), \"hello-world\");\n1413\t        assert_eq!(slugify(\"foo_bar baz\"), \"foo-bar-baz\");\n1414\t        assert_eq!(slugify(\"multiple---dashes\"), \"multiple-dashes\");\n1415\t    }\n1416\t\n1417\t    #[test]\n1418\t    fn truncate_short() {\n1419\t        assert_eq!(truncate(\"hello\", 10), \"hello\");\n1420\t    }\n1421\t\n1422\t    #[test]\n1423\t    fn truncate_exact() {\n1424\t        assert_eq!(truncate(\"hello\", 5), \"hello\");\n1425\t    }\n1426\t\n1427\t    #[test]\n1428\t    fn truncate_long() {\n1429\t        assert_eq!(truncate(\"hello world\", 5), \"hello\");\n1430\t    }\n1431\t\n1432\t    #[test]\n1433\t    fn reflect_agent_default_prompt_contains_fields() {\n1434\t        assert!(DEFAULT_EXTRACTION_PROMPT.contains(\"What worked\"));\n1435\t        assert!(DEFAULT_EXTRACTION_PROMPT.contains(\"What didn't\"));\n1436\t        assert!(DEFAULT_EXTRACTION_PROMPT.contains(\"Surprise\"));\n1437\t        assert!(DEFAULT_EXTRACTION_PROMPT.contains(\"Reusable pattern\"));\n1438\t    }\n1439\t\n1440\t    #[test]\n1441\t    fn cli_reflect_agent_new_stores_cmd() {\n1442\t        let agent = CliReflectAgent::new(\"claude\".to_string(), None);\n1443\t        assert_eq!(agent.agent_cmd, \"claude\");\n1444\t    }\n1445\t\n1446\t    #[test]\n1447\t    fn reflect_strand_name() {\n1448\t        let config = ReflectConfig::default();\n1449\t        let tel = Telemetry::new(\"test\".to_string());\n1450\t        let strand = ReflectStrand::new(\n1451\t            config,\n1452\t            PathBuf::from(\"/tmp\"),\n1453\t            PathBuf::from(\"/tmp/state\"),\n1454\t            tel,\n1455\t            None,\n1456\t        );\n1457\t        assert_eq!(strand.name(), \"reflect\");\n1458\t    }\n1459\t\n1460\t    #[tokio::test]\n1461\t    async fn reflect_disabled_skips() {\n1462\t        struct NoOpStore;\n1463\t        #[async_trait::async_trait]\n1464\t        impl crate::bead_store::BeadStore for NoOpStore {\n1465\t            async fn list_all(&self) -> anyhow::Result<Vec<crate::types::Bead>> {\n1466\t                Ok(vec![])\n1467\t            }\n1468\t            async fn ready(\n1469\t                &self,\n1470\t                _f: &crate::bead_store::Filters,\n1471\t            ) -> anyhow::Result<Vec<crate::types::Bead>> {\n1472\t                Ok(vec![])\n1473\t            }\n1474\t            async fn show(&self, _id: &crate::types::BeadId) -> anyhow::Result<crate::types::Bead> {\n1475\t                anyhow::bail!(\"not found\")\n1476\t            }\n1477\t            async fn claim(\n1478\t                &self,\n1479\t                _id: &crate::types::BeadId,\n1480\t                _a: &str,\n1481\t            ) -> anyhow::Result<crate::types::ClaimResult> {\n1482\t                anyhow::bail!(\"not impl\")\n1483\t            }\n1484\t            async fn release(&self, _id: &crate::types::BeadId) -> anyhow::Result<()> {\n1485\t                Ok(())\n1486\t            }\n1487\t            async fn flush(&self) -> anyhow::Result<()> {\n1488\t                Ok(())\n1489\t            }\n1490\t            async fn reopen(&self, _id: &crate::types::BeadId) -> anyhow::Result<()> {\n1491\t                Ok(())\n1492\t            }\n1493\t            async fn labels(&self, _id: &crate::types::BeadId) -> anyhow::Result<Vec<String>> {\n1494\t                Ok(vec![])\n1495\t            }\n1496\t            async fn add_label(&self, _id: &crate::types::BeadId, _l: &str) -> anyhow::Result<()> {\n1497\t                Ok(())\n1498\t            }\n1499\t            async fn remove_label(\n1500\t                &self,\n1501\t                _id: &crate::types::BeadId,\n1502\t                _l: &str,\n1503\t            ) -> anyhow::Result<()> {\n1504\t                Ok(())\n1505\t            }\n1506\t            async fn create_bead(\n1507\t                &self,\n1508\t                _t: &str,\n1509\t                _b: &str,\n1510\t                _l: &[&str],\n1511\t            ) -> anyhow::Result<crate::types::BeadId> {\n1512\t                Ok(crate::types::BeadId::from(\"new\".to_string()))\n1513\t            }\n1514\t            async fn doctor_repair(&self) -> anyhow::Result<crate::bead_store::RepairReport> {\n1515\t                Ok(crate::bead_store::RepairReport::default())\n1516\t            }\n1517\t            async fn doctor_check(&self) -> anyhow::Result<crate::bead_store::RepairReport> {\n1518\t                Ok(crate::bead_store::RepairReport::default())\n1519\t            }\n1520\t            async fn full_rebuild(&self) -> anyhow::Result<()> {\n1521\t                Ok(())\n1522\t            }\n1523\t            async fn add_dependency(\n1524\t                &self,\n1525\t                _bl: &crate::types::BeadId,\n1526\t                _bd: &crate::types::BeadId,\n1527\t            ) -> anyhow::Result<()> {\n1528\t                Ok(())\n1529\t            }\n1530\t            async fn remove_dependency(\n1531\t                &self,\n1532\t                _blocked_id: &crate::types::BeadId,\n1533\t                _blocker_id: &crate::types::BeadId,\n1534\t            ) -> anyhow::Result<()> {\n1535\t                Ok(())\n1536\t            }\n1537\t            async fn claim_auto(&self, _actor: &str) -> anyhow::Result<crate::types::ClaimResult> {\n1538\t                Ok(crate::types::ClaimResult::NotClaimable {\n1539\t                    reason: \"claim_auto not supported in mock\".to_string(),\n1540\t                })\n1541\t            }\n1542\t        }\n1543\t\n1544\t        let config = ReflectConfig {\n1545\t            enabled: false,\n1546\t            ..Default::default()\n1547\t        };\n1548\t        let tel = Telemetry::new(\"test\".to_string());\n1549\t        let dir = tempfile::tempdir().unwrap();\n1550\t        let strand = ReflectStrand::new(\n1551\t            config,\n1552\t            dir.path().to_path_buf(),\n1553\t            dir.path().join(\"state\"),\n1554\t            tel,\n1555\t            None,\n1556\t        );\n1557\t        // When disabled, evaluate returns NoWork without touching the store.\n1558\t        let result = strand.evaluate(&NoOpStore).await;\n1559\t        assert!(matches!(result, StrandResult::NoWork));\n1560\t    }\n1561\t\n1562\t    #[tokio::test]\n1563\t    async fn reflect_skips_below_threshold_when_no_state() {\n1564\t        let config = ReflectConfig {\n1565\t            enabled: true,\n1566\t            min_beads_since_last: 100, // very high threshold\n1567\t            ..Default::default()\n1568\t        };\n1569\t        let tel = Telemetry::new(\"test\".to_string());\n1570\t        let dir = tempfile::tempdir().unwrap();\n1571\t\n1572\t        // Create a minimal issues.jsonl with 1 closed bead.\n1573\t        let issues_dir = dir.path().join(\".beads\");\n1574\t        std::fs::create_dir_all(&issues_dir).unwrap();\n1575\t        std::fs::write(\n1576\t            issues_dir.join(\"issues.jsonl\"),\n1577\t            r#\"{\"id\":\"nd-0001\",\"title\":\"t\",\"status\":\"closed\",\"close_reason\":\"done\",\"closed_at\":\"2026-04-04T12:00:00Z\",\"assignee\":\"alpha\",\"labels\":[]}\"#,\n1578\t        ).unwrap();\n1579\t\n1580\t        let strand = ReflectStrand::new(\n1581\t            config,\n1582\t            dir.path().to_path_buf(),\n1583\t            dir.path().join(\"state\"),\n1584\t            tel,\n1585\t            None,\n1586\t        );\n1587\t\n1588\t        let result = strand.consolidate(false).await.unwrap();\n1589\t        assert_eq!(result.beads_processed, 0);\n1590\t        assert_eq!(result.learnings_added, 0);\n1591\t    }\n1592\t\n1593\t    #[tokio::test]\n1594\t    async fn reflect_consolidates_with_force() {\n1595\t        let config = ReflectConfig {\n1596\t            enabled: true,\n1597\t            min_beads_since_last: 100,\n1598\t            cooldown_hours: 9999,\n1599\t            ..Default::default()\n1600\t        };\n1601\t        let tel = Telemetry::new(\"test\".to_string());\n1602\t        let dir = tempfile::tempdir().unwrap();\n1603\t\n1604\t        let issues_dir = dir.path().join(\".beads\");\n1605\t        std::fs::create_dir_all(&issues_dir).unwrap();\n1606\t\n1607\t        let body = r#\"Done.\\n\\n## Retrospective\\n- **What worked:** Used the existing pattern\\n- **Reusable pattern:** Copy strand template for new strands\"#;\n1608\t        let line = format!(\n1609\t            r#\"{{\"id\":\"nd-0001\",\"title\":\"t\",\"status\":\"closed\",\"close_reason\":{},\"closed_at\":\"2026-04-04T12:00:00Z\",\"assignee\":\"alpha\",\"labels\":[]}}\"#,\n1610\t            serde_json::to_string(body).unwrap()\n1611\t        );\n1612\t        std::fs::write(issues_dir.join(\"issues.jsonl\"), line).unwrap();\n1613\t\n1614\t        let strand = ReflectStrand::new(\n1615\t            config,\n1616\t            dir.path().to_path_buf(),\n1617\t            dir.path().join(\"state\"),\n1618\t            tel,\n1619\t            None,\n1620\t        );\n1621\t\n1622\t        let result = strand.consolidate(true).await.unwrap();\n1623\t        assert_eq!(result.beads_processed, 1);\n1624\t    }\n1625\t\n1626\t    #[test]\n1627\t    fn reflect_state_roundtrip() {\n1628\t        let dir = tempfile::tempdir().unwrap();\n1629\t        let state = ReflectState {\n1630\t            last_consolidation: Utc::now(),\n1631\t            beads_at_last_consolidation: 42,\n1632\t        };\n1633\t        state.save(dir.path()).unwrap();\n1634\t\n1635\t        let loaded = ReflectState::load(dir.path()).unwrap().unwrap();\n1636\t        assert_eq!(loaded.beads_at_last_consolidation, 42);\n1637\t    }\n1638\t\n1639\t    fn make_strand_with_global(\n1640\t        workspace: &std::path::Path,\n1641\t        known_workspaces: Vec<std::path::PathBuf>,\n1642\t        global_path: std::path::PathBuf,\n1643\t        max_global: usize,\n1644\t    ) -> ReflectStrand {\n1645\t        let config = ReflectConfig {\n1646\t            enabled: true,\n1647\t            min_beads_since_last: 100,\n1648\t            cooldown_hours: 9999,\n1649\t            ..Default::default()\n1650\t        };\n1651\t        let tel = Telemetry::new(\"test\".to_string());\n1652\t        ReflectStrand::new(\n1653\t            config,\n1654\t            workspace.to_path_buf(),\n1655\t            workspace.join(\"state\"),\n1656\t            tel,\n1657\t            None,\n1658\t        )\n1659\t        .with_global(known_workspaces, global_path, max_global)\n1660\t    }\n1661\t\n1662\t    fn write_learnings(workspace: &std::path::Path, entries: &[(&str, &str)]) {\n1663\t        // entries: (bead_id, observation)\n1664\t        let beads_dir = workspace.join(\".beads\");\n1665\t        std::fs::create_dir_all(&beads_dir).unwrap();\n1666\t        let mut content = String::from(\"# Workspace Learnings\\n\\n\");\n1667\t        for (bead_id, observation) in entries {\n1668\t            content.push_str(&format!(\n1669\t                \"### 2026-04-04 | bead: {} | worker: alpha | type: other | reinforced: 0\\n\\\n1670\t                 - **Observation:** {}\\n\\\n1671\t                 - **Confidence:** high\\n\\\n1672\t                 - **Source:** test\\n\\n\",\n1673\t                bead_id, observation\n1674\t            ));\n1675\t        }\n1676\t        std::fs::write(beads_dir.join(\"learnings.md\"), content).unwrap();\n1677\t    }\n1678\t\n1679\t    #[test]\n1680\t    fn cross_workspace_no_known_workspaces_returns_zero() {\n1681\t        let dir = tempfile::tempdir().unwrap();\n1682\t        let global_path = dir.path().join(\"global-learnings.md\");\n1683\t\n1684\t        let strand = make_strand_with_global(dir.path(), vec![], global_path, 40);\n1685\t        let learnings = crate::learning::LearningsFile::load(dir.path()).unwrap();\n1686\t\n1687\t        let promoted = strand.promote_cross_workspace_patterns(&learnings).unwrap();\n1688\t        assert_eq!(promoted, 0);\n1689\t    }\n1690\t\n1691\t    #[test]\n1692\t    fn cross_workspace_empty_path_returns_zero() {\n1693\t        let dir = tempfile::tempdir().unwrap();\n1694\t        let other = tempfile::tempdir().unwrap();\n1695\t        write_learnings(\n1696\t            other.path(),\n1697\t            &[(\"nd-0001\", \"use existing pattern from modules\")],\n1698\t        );\n1699\t\n1700\t        let strand = make_strand_with_global(\n1701\t            dir.path(),\n1702\t            vec![other.path().to_path_buf()],\n1703\t            PathBuf::new(), // empty path\n1704\t            40,\n1705\t        );\n1706\t        let learnings = crate::learning::LearningsFile::load(dir.path()).unwrap();\n1707\t\n1708\t        let promoted = strand.promote_cross_workspace_patterns(&learnings).unwrap();\n1709\t        assert_eq!(promoted, 0);\n1710\t    }\n1711\t\n1712\t    #[test]\n1713\t    fn cross_workspace_promotes_matching_entry() {\n1714\t        let ws1 = tempfile::tempdir().unwrap();\n1715\t        let ws2 = tempfile::tempdir().unwrap();\n1716\t        let global_dir = tempfile::tempdir().unwrap();\n1717\t\n1718\t        // Both workspaces have a similar observation.\n1719\t        write_learnings(\n1720\t            ws1.path(),\n1721\t            &[(\"nd-0001\", \"use existing pattern from modules\")],\n1722\t        );\n1723\t        write_learnings(\n1724\t            ws2.path(),\n1725\t            &[(\"nd-0002\", \"use existing pattern from modules\")],\n1726\t        );\n1727\t\n1728\t        let global_path = global_dir.path().join(\"global-learnings.md\");\n1729\t        let strand = make_strand_with_global(\n1730\t            ws1.path(),\n1731\t            vec![ws2.path().to_path_buf()],\n1732\t            global_path.clone(),\n1733\t            40,\n1734\t        );\n1735\t\n1736\t        let learnings = crate::learning::LearningsFile::load(ws1.path()).unwrap();\n1737\t        let promoted = strand.promote_cross_workspace_patterns(&learnings).unwrap();\n1738\t\n1739\t        assert_eq!(promoted, 1);\n1740\t        assert!(global_path.exists());\n1741\t\n1742\t        let global = crate::learning::GlobalLearningsFile::load(&global_path).unwrap();\n1743\t        assert_eq!(global.entries().len(), 1);\n1744\t        assert!(global.entries()[0]\n1745\t            .observation\n1746\t            .contains(\"use existing pattern\"));\n1747\t    }\n1748\t\n1749\t    #[test]\n1750\t    fn cross_workspace_no_match_promotes_nothing() {\n1751\t        let ws1 = tempfile::tempdir().unwrap();\n1752\t        let ws2 = tempfile::tempdir().unwrap();\n1753\t        let global_dir = tempfile::tempdir().unwrap();\n1754\t\n1755\t        write_learnings(\n1756\t            ws1.path(),\n1757\t            &[(\"nd-0001\", \"use existing pattern from modules\")],\n1758\t        );\n1759\t        write_learnings(\n1760\t            ws2.path(),\n1761\t            &[(\"nd-0002\", \"completely unrelated observation here\")],\n1762\t        );\n1763\t\n1764\t        let global_path = global_dir.path().join(\"global-learnings.md\");\n1765\t        let strand = make_strand_with_global(\n1766\t            ws1.path(),\n1767\t            vec![ws2.path().to_path_buf()],\n1768\t            global_path.clone(),\n1769\t            40,\n1770\t        );\n1771\t\n1772\t        let learnings = crate::learning::LearningsFile::load(ws1.path()).unwrap();\n1773\t        let promoted = strand.promote_cross_workspace_patterns(&learnings).unwrap();\n1774\t\n1775\t        assert_eq!(promoted, 0);\n1776\t        assert!(!global_path.exists());\n1777\t    }\n1778\t\n1779\t    #[test]\n1780\t    fn cross_workspace_respects_max_global_learnings() {\n1781\t        let ws1 = tempfile::tempdir().unwrap();\n1782\t        let ws2 = tempfile::tempdir().unwrap();\n1783\t        let global_dir = tempfile::tempdir().unwrap();\n1784\t\n1785\t        // Three matching entries in each workspace.\n1786\t        write_learnings(\n1787\t            ws1.path(),\n1788\t            &[\n1789\t                (\"nd-0001\", \"use existing pattern from modules\"),\n1790\t                (\"nd-0002\", \"copy strand template for new strands\"),\n1791\t                (\"nd-0003\", \"run cargo clippy before committing code\"),\n1792\t            ],\n1793\t        );\n1794\t        write_learnings(\n1795\t            ws2.path(),\n1796\t            &[\n1797\t                (\"nd-0004\", \"use existing pattern from modules\"),\n1798\t                (\"nd-0005\", \"copy strand template for new strands\"),\n1799\t                (\"nd-0006\", \"run cargo clippy before committing code\"),\n1800\t            ],\n1801\t        );\n1802\t\n1803\t        let global_path = global_dir.path().join(\"global-learnings.md\");\n1804\t        // Cap at 2 entries.\n1805\t        let strand = make_strand_with_global(\n1806\t            ws1.path(),\n1807\t            vec![ws2.path().to_path_buf()],\n1808\t            global_path.clone(),\n1809\t            2,\n1810\t        );\n1811\t\n1812\t        let learnings = crate::learning::LearningsFile::load(ws1.path()).unwrap();\n1813\t        let promoted = strand.promote_cross_workspace_patterns(&learnings).unwrap();\n1814\t\n1815\t        assert_eq!(promoted, 2);\n1816\t        let global = crate::learning::GlobalLearningsFile::load(&global_path).unwrap();\n1817\t        assert_eq!(global.entries().len(), 2);\n1818\t    }\n1819\t\n1820\t    #[test]\n1821\t    fn cross_workspace_deduplicates_existing_global() {\n1822\t        let ws1 = tempfile::tempdir().unwrap();\n1823\t        let ws2 = tempfile::tempdir().unwrap();\n1824\t        let global_dir = tempfile::tempdir().unwrap();\n1825\t\n1826\t        let observation = \"use existing pattern from modules\";\n1827\t        write_learnings(ws1.path(), &[(\"nd-0001\", observation)]);\n1828\t        write_learnings(ws2.path(), &[(\"nd-0002\", observation)]);\n1829\t\n1830\t        // Pre-populate the global file with the same observation.\n1831\t        let global_path = global_dir.path().join(\"global-learnings.md\");\n1832\t        let mut global = crate::learning::GlobalLearningsFile::load(&global_path).unwrap();\n1833\t        let entry = crate::learning::LearningEntry::new(\n1834\t            \"nd-0000\".to_string(),\n1835\t            \"alpha\".to_string(),\n1836\t            crate::learning::BeadType::Other,\n1837\t            observation.to_string(),\n1838\t            crate::learning::Confidence::High,\n1839\t            \"pre-existing\".to_string(),\n1840\t        );\n1841\t        global.promote(entry, 40);\n1842\t        global.write().unwrap();\n1843\t\n1844\t        let strand = make_strand_with_global(\n1845\t            ws1.path(),\n1846\t            vec![ws2.path().to_path_buf()],\n1847\t            global_path.clone(),\n1848\t            40,\n1849\t        );\n1850\t\n1851\t        let learnings = crate::learning::LearningsFile::load(ws1.path()).unwrap();\n1852\t        let promoted = strand.promote_cross_workspace_patterns(&learnings).unwrap();\n1853\t\n1854\t        // Already in global — should not be added again.\n1855\t        assert_eq!(promoted, 0);\n1856\t        let global = crate::learning::GlobalLearningsFile::load(&global_path).unwrap();\n1857\t        assert_eq!(global.entries().len(), 1);\n1858\t    }\n1859\t\n1860\t    // ── Agent extraction tests ──\n1861\t\n1862\t    /// Mock agent for testing retrospective extraction.\n1863\t    struct MockReflectAgent {\n1864\t        /// Fixed retrospective to return (if any).\n1865\t        retrospective: Option<Retrospective>,\n1866\t        /// Number of times extract_retrospective was called.\n1867\t        call_count: std::sync::atomic::AtomicUsize,\n1868\t    }\n1869\t\n1870\t    #[async_trait::async_trait]\n1871\t    impl ReflectAgent for MockReflectAgent {\n1872\t        async fn extract_retrospective(\n1873\t            &self,\n1874\t            _bead_title: &str,\n1875\t            _close_body: &str,\n1876\t            _workspace: &Path,\n1877\t        ) -> Result<Option<Retrospective>> {\n1878\t            self.call_count\n1879\t                .fetch_add(1, std::sync::atomic::Ordering::SeqCst);\n1880\t            Ok(self.retrospective.clone())\n1881\t        }\n1882\t    }\n1883\t\n1884\t    #[tokio::test]\n1885\t    async fn reflect_agent_called_when_no_retrospective() {\n1886\t        let config = ReflectConfig {\n1887\t            enabled: true,\n1888\t            min_beads_since_last: 1,\n1889\t            cooldown_hours: 0,\n1890\t            max_extraction_per_run: 10,\n1891\t            ..Default::default()\n1892\t        };\n1893\t        let tel = Telemetry::new(\"test\".to_string());\n1894\t        let dir = tempfile::tempdir().unwrap();\n1895\t\n1896\t        let issues_dir = dir.path().join(\".beads\");\n1897\t        std::fs::create_dir_all(&issues_dir).unwrap();\n1898\t\n1899\t        // Bead with no retrospective block.\n1900\t        std::fs::write(\n1901\t            issues_dir.join(\"issues.jsonl\"),\n1902\t            r#\"{\"id\":\"nd-0001\",\"title\":\"Fix bug\",\"status\":\"closed\",\"close_reason\":\"Fixed the parsing bug.\",\"closed_at\":\"2026-04-04T12:00:00Z\",\"assignee\":\"alpha\",\"labels\":[]}\"#,\n1903\t        ).unwrap();\n1904\t\n1905\t        let retro = Retrospective {\n1906\t            what_worked: Some(\"Used the existing pattern\".to_string()),\n1907\t            what_didnt: Some(\"Nothing\".to_string()),\n1908\t            surprise: Some(\"N/A\".to_string()),\n1909\t            reusable_pattern: Some(\"Copy strand template\".to_string()),\n1910\t        };\n1911\t\n1912\t        let agent = Box::new(MockReflectAgent {\n1913\t            retrospective: Some(retro),\n1914\t            call_count: std::sync::atomic::AtomicUsize::new(0),\n1915\t        });\n1916\t\n1917\t        let strand = ReflectStrand::new(\n1918\t            config,\n1919\t            dir.path().to_path_buf(),\n1920\t            dir.path().join(\"state\"),\n1921\t            tel,\n1922\t            Some(agent),\n1923\t        );\n1924\t\n1925\t        let result = strand.consolidate(true).await.unwrap();\n1926\t        assert_eq!(result.agent_extractions, 1);\n1927\t        assert_eq!(result.beads_processed, 1);\n1928\t    }\n1929\t\n1930\t    #[tokio::test]\n1931\t    async fn reflect_agent_not_called_when_retrospective_present() {\n1932\t        let config = ReflectConfig {\n1933\t            enabled: true,\n1934\t            min_beads_since_last: 1,\n1935\t            cooldown_hours: 0,\n1936\t            max_extraction_per_run: 10,\n1937\t            ..Default::default()\n1938\t        };\n1939\t        let tel = Telemetry::new(\"test\".to_string());\n1940\t        let dir = tempfile::tempdir().unwrap();\n1941\t\n1942\t        let issues_dir = dir.path().join(\".beads\");\n1943\t        std::fs::create_dir_all(&issues_dir).unwrap();\n1944\t\n1945\t        // Bead WITH explicit retrospective block.\n1946\t        let body = r#\"Done.\\n\\n## Retrospective\\n- **What worked:** Used the existing pattern\\n- **Reusable pattern:** Copy strand template\"#;\n1947\t        let line = format!(\n1948\t            r#\"{{\"id\":\"nd-0001\",\"title\":\"t\",\"status\":\"closed\",\"close_reason\":{},\"closed_at\":\"2026-04-04T12:00:00Z\",\"assignee\":\"alpha\",\"labels\":[]}}\"#,\n1949\t            serde_json::to_string(body).unwrap()\n1950\t        );\n1951\t        std::fs::write(issues_dir.join(\"issues.jsonl\"), line).unwrap();\n1952\t\n1953\t        // Mock that panics if called (should not be called).\n1954\t        struct PanicMockAgent;\n1955\t        #[async_trait::async_trait]\n1956\t        impl ReflectAgent for PanicMockAgent {\n1957\t            async fn extract_retrospective(\n1958\t                &self,\n1959\t                _bead_title: &str,\n1960\t                _close_body: &str,\n1961\t                _workspace: &Path,\n1962\t            ) -> Result<Option<Retrospective>> {\n1963\t                panic!(\"agent should not be called when retrospective is present\");\n1964\t            }\n1965\t        }\n1966\t\n1967\t        let strand = ReflectStrand::new(\n1968\t            config,\n1969\t            dir.path().to_path_buf(),\n1970\t            dir.path().join(\"state\"),\n1971\t            tel,\n1972\t            Some(Box::new(PanicMockAgent)),\n1973\t        );\n1974\t\n1975\t        let result = strand.consolidate(true).await.unwrap();\n1976\t        assert_eq!(result.agent_extractions, 0);\n1977\t        assert_eq!(result.beads_processed, 1);\n1978\t    }\n1979\t\n1980\t    #[tokio::test]\n1981\t    async fn reflect_agent_not_called_when_none() {\n1982\t        let config = ReflectConfig {\n1983\t            enabled: true,\n1984\t            min_beads_since_last: 1,\n1985\t            cooldown_hours: 0,\n1986\t            max_extraction_per_run: 10,\n1987\t            ..Default::default()\n1988\t        };\n1989\t        let tel = Telemetry::new(\"test\".to_string());\n1990\t        let dir = tempfile::tempdir().unwrap();\n1991\t\n1992\t        let issues_dir = dir.path().join(\".beads\");\n1993\t        std::fs::create_dir_all(&issues_dir).unwrap();\n1994\t\n1995\t        // Bead with no retrospective block.\n1996\t        std::fs::write(\n1997\t            issues_dir.join(\"issues.jsonl\"),\n1998\t            r#\"{\"id\":\"nd-0001\",\"title\":\"Fix bug\",\"status\":\"closed\",\"close_reason\":\"Fixed the parsing bug.\",\"closed_at\":\"2026-04-04T12:00:00Z\",\"assignee\":\"alpha\",\"labels\":[]}\"#,\n1999\t        ).unwrap();\n2000\t\n2001\t        // No agent (None).\n2002\t        let strand = ReflectStrand::new(\n2003\t            config,\n2004\t            dir.path().to_path_buf(),\n2005\t            dir.path().join(\"state\"),\n2006\t            tel,\n2007\t            None,\n2008\t        );\n2009\t\n2010\t        let result = strand.consolidate(true).await.unwrap();\n2011\t        assert_eq!(result.agent_extractions, 0);\n2012\t        assert_eq!(result.beads_processed, 1);\n2013\t    }\n2014\t\n2015\t    #[tokio::test]\n2016\t    async fn reflect_agent_respects_max_extraction_per_run() {\n2017\t        let config = ReflectConfig {\n2018\t            enabled: true,\n2019\t            min_beads_since_last: 1,\n2020\t            cooldown_hours: 0,\n2021\t            max_extraction_per_run: 2,\n2022\t            ..Default::default()\n2023\t        };\n2024\t        let tel = Telemetry::new(\"test\".to_string());\n2025\t        let dir = tempfile::tempdir().unwrap();\n2026\t\n2027\t        let issues_dir = dir.path().join(\".beads\");\n2028\t        std::fs::create_dir_all(&issues_dir).unwrap();\n2029\t\n2030\t        // 5 beads, all without retrospectives.\n2031\t        let mut lines = Vec::new();\n2032\t        for i in 1..=5 {\n2033\t            lines.push(format!(\n2034\t                r#\"{{\"id\":\"nd-{:04}\",\"title\":\"Fix bug {}\",\"status\":\"closed\",\"close_reason\":\"Fixed bug {}.\",\"closed_at\":\"2026-04-04T12:00:00Z\",\"assignee\":\"alpha\",\"labels\":[]}}\"#,\n2035\t                i, i, i\n2036\t            ));\n2037\t        }\n2038\t        std::fs::write(issues_dir.join(\"issues.jsonl\"), lines.join(\"\\n\")).unwrap();\n2039\t\n2040\t        let retro = Retrospective {\n2041\t            what_worked: Some(\"Used the existing pattern\".to_string()),\n2042\t            what_didnt: Some(\"Nothing\".to_string()),\n2043\t            surprise: Some(\"N/A\".to_string()),\n2044\t            reusable_pattern: Some(\"Copy strand template\".to_string()),\n2045\t        };\n2046\t\n2047\t        let agent = Box::new(MockReflectAgent {\n2048\t            retrospective: Some(retro),\n2049\t            call_count: std::sync::atomic::AtomicUsize::new(0),\n2050\t        });\n2051\t\n2052\t        let strand = ReflectStrand::new(\n2053\t            config,\n2054\t            dir.path().to_path_buf(),\n2055\t            dir.path().join(\"state\"),\n2056\t            tel,\n2057\t            Some(agent),\n2058\t        );\n2059\t\n2060\t        let result = strand.consolidate(true).await.unwrap();\n2061\t        // Should only extract 2, not 5 (max_extraction_per_run = 2).\n2062\t        assert_eq!(result.agent_extractions, 2);\n2063\t        assert_eq!(result.beads_processed, 5);\n2064\t    }\n2065\t}\n2066\t"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"7eb8d2b4-49ea-45e1-a3f4-19ce155f4908","timestamp":"2026-05-14T05:05:49.790Z"}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"EISDIR: illegal operation on a directory, read '/home/coding/NEEDLE/src/types'","is_error":true,"tool_use_id":"toolu_014zxZmXLJ8ZeWz9XCUnqnue"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"cb6ec76a-25d3-451c-baee-5eb53a5b7505","timestamp":"2026-05-14T05:05:49.895Z","tool_use_result":"Error: EISDIR: illegal operation on a directory, read '/home/coding/NEEDLE/src/types'"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0147NNyZNUTwppcivYVp6Y1U","type":"tool_result","content":"1\t//! Strand waterfall: ordered sequence of selection strategies.\n2\t//!\n3\t//! The StrandRunner evaluates strands in priority order. The first strand\n4\t//! that yields a candidate wins. Strands are stateless — they receive queue\n5\t//! state and return a candidate or nothing.\n6\t//!\n7\t//! Depends on: `types`, `config`, `bead_store`.\n8\t\n9\tmod explore;\n10\tmod knot;\n11\tpub mod mend;\n12\tmod pluck;\n13\tpub mod pulse;\n14\tpub mod reflect;\n15\tpub mod splice;\n16\tpub mod unravel;\n17\tpub mod weave;\n18\t\n19\tuse std::collections::HashSet;\n20\tuse std::time::Instant;\n21\t\n22\tuse anyhow::Result;\n23\t\n24\tuse crate::bead_store::BeadStore;\n25\tuse crate::config::Config;\n26\tuse crate::span::{attrs, strand_results};\n27\tuse crate::types::{Bead, BeadId, StrandResult};\n28\t\n29\t/// A single strand evaluation result.\n30\t#[derive(Debug, Clone)]\n31\tpub struct StrandEvaluation {\n32\t    pub strand_name: String,\n33\t    pub result: String,\n34\t    pub duration_ms: u64,\n35\t}\n36\t\n37\t/// Result of a single `StrandRunner::select()` call.\n38\t///\n39\t/// Carries both the winning candidate (if any) and diagnostic statistics\n40\t/// about restarts that occurred during the waterfall — used to populate\n41\t/// `worker.exhausted` telemetry with a per-iteration breakdown.\n42\t#[derive(Debug, Default)]\n43\tpub struct SelectOutcome {\n44\t    /// The candidate bead and the strand that found it, or `None` if\n45\t    /// all strands returned `NoWork`.\n46\t    pub bead: Option<(Bead, String)>,\n47\t    /// How many times the waterfall restarted from Pluck (cap = `MAX_RESTARTS`).\n48\t    pub waterfall_restarts: u32,\n49\t    /// Names of strands that returned `WorkCreated` and triggered a restart.\n50\t    /// Duplicate entries are preserved (one per restart event).\n51\t    pub restart_triggers: Vec<String>,\n52\t    /// All strand evaluations in order, across all waterfall passes.\n53\t    /// Each entry is (strand_name, result, duration_ms).\n54\t    pub strand_evaluations: Vec<StrandEvaluation>,\n55\t    /// The strand span guard for the strand that found the bead.\n56\t    /// This keeps the strand span active through the bead lifecycle.\n57\t    /// Dropped when the bead lifecycle ends (in do_log).\n58\t    #[allow(dead_code)]\n59\t    pub strand_span_guard: Option<tracing::span::EnteredSpan>,\n60\t}\n61\t\n62\tpub use explore::ExploreStrand;\n63\tpub use knot::KnotStrand;\n64\tpub use mend::{cleanup_orphaned_in_progress, MendStrand};\n65\tpub use pluck::PluckStrand;\n66\tpub use pulse::PulseStrand;\n67\tpub use reflect::{CliReflectAgent, ReflectAgent, ReflectStrand};\n68\tpub use splice::SpliceStrand;\n69\tpub use unravel::{UnravelAgent, UnravelStrand};\n70\tpub use weave::{CliWeaveAgent, WeaveAgent, WeaveStrand};\n71\t\n72\t/// A single selection strategy in the waterfall.\n73\t#[async_trait::async_trait]\n74\tpub trait Strand: Send + Sync {\n75\t    /// Human-readable name for telemetry.\n76\t    fn name(&self) -> &str;\n77\t\n78\t    /// Evaluate this strand against the current queue state.\n79\t    async fn evaluate(&self, store: &dyn BeadStore) -> StrandResult;\n80\t}\n81\t\n82\t/// Runs strands in order, returning the first candidate found.\n83\tpub struct StrandRunner {\n84\t    strands: Vec<Box<dyn Strand>>,\n85\t    telemetry: crate::telemetry::Telemetry,\n86\t}\n87\t\n88\timpl StrandRunner {\n89\t    pub fn new(strands: Vec<Box<dyn Strand>>) -> Self {\n90\t        StrandRunner {\n91\t            strands,\n92\t            telemetry: crate::telemetry::Telemetry::new(\"strand-runner\".to_string()),\n93\t        }\n94\t    }\n95\t\n96\t    /// Build the default strand waterfall from config.\n97\t    ///\n98\t    /// The waterfall order is:\n99\t    /// Pluck → Mend → Explore → Weave → Unravel → Pulse → Reflect → Splice → Knot.\n100\t    pub fn from_config(\n101\t        config: &Config,\n102\t        worker_id: &str,\n103\t        registry: crate::registry::Registry,\n104\t        telemetry: crate::telemetry::Telemetry,\n105\t    ) -> Self {\n106\t        let pluck = PluckStrand::new(config.strands.pluck.exclude_labels.clone());\n107\t\n108\t        let heartbeat_dir = config.workspace.home.join(\"state\").join(\"heartbeats\");\n109\t        let heartbeat_ttl = std::time::Duration::from_secs(config.health.heartbeat_ttl_secs);\n110\t        let lock_dir = std::path::PathBuf::from(\"/tmp\");\n111\t        let log_dir = config\n112\t            .telemetry\n113\t            .file_sink\n114\t            .log_dir\n115\t            .clone()\n116\t            .unwrap_or_else(|| config.workspace.home.join(\"logs\"));\n117\t        let retention_days = config.telemetry.file_sink.retention_days;\n118\t        let traces_dir = config.workspace.default.join(\".beads\").join(\"traces\");\n119\t        let trace_retention_failed_days = config.strands.learning.trace_retention_failed_days;\n120\t        let trace_retention_success_days = config.strands.learning.trace_retention_success_days;\n121\t\n122\t        // Create a new Registry instance pointing to the same path for ExploreStrand.\n123\t        // We need to get the state_dir_for_explore before moving registry to MendStrand.\n124\t        let state_fallback = config.workspace.home.join(\"state\");\n125\t        let state_dir_for_explore = registry.path().parent().unwrap_or(&state_fallback);\n126\t        let explore_registry = crate::registry::Registry::new(state_dir_for_explore);\n127\t\n128\t        let mend = MendStrand::new(\n129\t            config.strands.mend.clone(),\n130\t            heartbeat_dir,\n131\t            heartbeat_ttl,\n132\t            lock_dir,\n133\t            worker_id.to_string(),\n134\t            registry,\n135\t            telemetry.clone(),\n136\t            log_dir,\n137\t            retention_days,\n138\t            traces_dir,\n139\t            trace_retention_failed_days,\n140\t            trace_retention_success_days,\n141\t            config.workspace.default.clone(),\n142\t            config.strands.learning.max_learnings,\n143\t            config.workspace.home.join(\"state\"),\n144\t            config.limits.clone(),\n145\t        );\n146\t\n147\t        let state_base = config.workspace.home.join(\"state\");\n148\t\n149\t        let explore = ExploreStrand::new(\n150\t            config.strands.explore.clone(),\n151\t            config.workspace.default.clone(),\n152\t            explore_registry,\n153\t            telemetry.clone(),\n154\t            worker_id.to_string(),\n155\t        );\n156\t\n157\t        let weave = WeaveStrand::new(\n158\t            config.strands.weave.clone(),\n159\t            config.workspace.default.clone(),\n160\t            state_base.join(\"weave\"),\n161\t            Box::new(CliWeaveAgent::new(config.agent.default.clone())),\n162\t            telemetry.clone(),\n163\t        );\n164\t\n165\t        let unravel = UnravelStrand::new(\n166\t            config.strands.unravel.clone(),\n167\t            config.workspace.default.clone(),\n168\t            state_base.join(\"unravel\"),\n169\t            Box::new(unravel::CliUnravelAgent::new(config.agent.default.clone())),\n170\t            telemetry.clone(),\n171\t        );\n172\t\n173\t        let pulse = PulseStrand::new(\n174\t            config.strands.pulse.clone(),\n175\t            config.workspace.default.clone(),\n176\t            state_base.join(\"pulse\"),\n177\t            telemetry.clone(),\n178\t        );\n179\t\n180\t        // Create the extraction agent if configured.\n181\t        let reflect_agent = config\n182\t            .strands\n183\t            .reflect\n184\t            .extraction_agent\n185\t            .as_ref()\n186\t            .map(|agent_cmd| {\n187\t                Box::new(reflect::CliReflectAgent::new(\n188\t                    agent_cmd.clone(),\n189\t                    config.strands.reflect.extraction_prompt_template.clone(),\n190\t                )) as Box<dyn reflect::ReflectAgent>\n191\t            });\n192\t\n193\t        let reflect = ReflectStrand::new(\n194\t            config.strands.reflect.clone(),\n195\t            config.workspace.default.clone(),\n196\t            state_base.join(\"reflect\"),\n197\t            telemetry.clone(),\n198\t            reflect_agent,\n199\t        );\n200\t\n201\t        // Reconstruct heartbeat_dir for Splice (same path used by Mend).\n202\t        let splice_heartbeat_dir = config.workspace.home.join(\"state\").join(\"heartbeats\");\n203\t        let runner_telemetry = telemetry.clone();\n204\t        let splice = SpliceStrand::new(\n205\t            config.strands.splice.clone(),\n206\t            splice_heartbeat_dir,\n207\t            state_base.join(\"splice\"),\n208\t            telemetry,\n209\t        );\n210\t\n211\t        let knot = KnotStrand::new(config.strands.knot.clone());\n212\t        StrandRunner {\n213\t            strands: vec![\n214\t                Box::new(pluck),\n215\t                Box::new(mend),\n216\t                Box::new(explore),\n217\t                Box::new(weave),\n218\t                Box::new(unravel),\n219\t                Box::new(pulse),\n220\t                Box::new(reflect),\n221\t                Box::new(splice),\n222\t                Box::new(knot),\n223\t            ],\n224\t            telemetry: runner_telemetry,\n225\t        }\n226\t    }\n227\t\n228\t    /// Run the waterfall, returning a `SelectOutcome` that carries the winning\n229\t    /// candidate (if any) plus restart diagnostics.\n230\t    ///\n231\t    /// Returns the full `Bead` (including its workspace path) so the caller\n232\t    /// can create the correct bead store for remote beads found by Explore.\n233\t    /// The accompanying `String` is the name of the strand that produced the\n234\t    /// candidate.\n235\t    ///\n236\t    /// When a strand returns `WorkCreated`, the waterfall restarts from Pluck.\n237\t    /// A restart cap prevents infinite loops (e.g. a strand that always creates\n238\t    /// work without producing a claimable bead).\n239\t    pub async fn select(\n240\t        &self,\n241\t        store: &dyn BeadStore,\n242\t        exclusions: &HashSet<BeadId>,\n243\t    ) -> Result<SelectOutcome> {\n244\t        const MAX_RESTARTS: u32 = 3;\n245\t        let mut restarts = 0u32;\n246\t        let mut restart_triggers: Vec<String> = Vec::new();\n247\t        let mut strand_evaluations: Vec<StrandEvaluation> = Vec::new();\n248\t\n249\t        'waterfall: loop {\n250\t            for strand in &self.strands {\n251\t                let strand_name = strand.name().to_string();\n252\t                let strand_span = tracing::info_span!(\n253\t                    \"strand.{}\",\n254\t                    strand_name,\n255\t                    needle.strand.name = %strand_name,\n256\t                );\n257\t                let strand_enter = strand_span.entered();\n258\t\n259\t                let start = Instant::now();\n260\t                let result = strand.evaluate(store).await;\n261\t                let elapsed_ms = start.elapsed().as_millis() as u64;\n262\t\n263\t                // Record strand evaluation result as span attribute.\n264\t                let (result_str, should_record) = match &result {\n265\t                    StrandResult::BeadFound(beads) => {\n266\t                        let count = beads.len();\n267\t                        (\n268\t                            format!(\"{}({})\", strand_results::BEAD_FOUND, count),\n269\t                            count > 0,\n270\t                        )\n271\t                    }\n272\t                    StrandResult::WorkCreated => (strand_results::WORK_CREATED.to_string(), true),\n273\t                    StrandResult::NoWork => (strand_results::NO_WORK.to_string(), true),\n274\t                    StrandResult::Error(_) => (strand_results::ERROR.to_string(), true),\n275\t                };\n276\t                tracing::Span::current().record(attrs::NEEDLE_STRAND_RESULT, &result_str);\n277\t                tracing::Span::current().record(attrs::NEEDLE_STRAND_DURATION_MS, elapsed_ms);\n278\t\n279\t                // Set strand span status: Error for strand errors, Ok for all other results\n280\t                if matches!(result, StrandResult::Error(_)) {\n281\t                    tracing::Span::current().record(\"otel.status_code\", 2u64);\n282\t                    tracing::Span::current().record(\"otel.status_description\", &result_str);\n283\t                }\n284\t\n285\t                // Only record evaluations that produced meaningful results.\n286\t                // Skip recording empty BeadFound results since they don't\n287\t                // represent actual strand activity.\n288\t                if should_record {\n289\t                    strand_evaluations.push(StrandEvaluation {\n290\t                        strand_name: strand_name.clone(),\n291\t                        result: result_str.clone(),\n292\t                        duration_ms: elapsed_ms,\n293\t                    });\n294\t                }\n295\t\n296\t                match result {\n297\t                    StrandResult::BeadFound(beads) => {\n298\t                        // Filter out beads that are in the exclusion set (e.g.\n299\t                        // recently race-lost).  This prevents the waterfall from\n300\t                        // immediately re-selecting a bead that just lost a claim\n301\t                        // race to another worker.\n302\t                        let original_count = beads.len();\n303\t                        let filtered: Vec<Bead> = beads\n304\t                            .into_iter()\n305\t                            .filter(|b| !exclusions.contains(&b.id))\n306\t                            .collect();\n307\t                        let excluded_count = original_count.saturating_sub(filtered.len());\n308\t\n309\t                        // Record queue depth for the Pluck strand (after filtering).\n310\t                        // This samples the current queue depth for the needle.queue.depth\n311\t                        // observable gauge, which is measured at strand evaluation.\n312\t                        // We report depth per priority level to enable filtered views.\n313\t                        if strand_name == \"pluck\" {\n314\t                            use std::collections::HashMap;\n315\t                            let mut depths: HashMap<u8, u64> = HashMap::new();\n316\t                            for bead in &filtered {\n317\t                                *depths.entry(bead.priority).or_insert(0) += 1;\n318\t                            }\n319\t                            self.telemetry.record_queue_depth(depths);\n320\t                        }\n321\t\n322\t                        if let Err(e) =\n323\t                            self.telemetry\n324\t                                .emit(crate::telemetry::EventKind::StrandEvaluated {\n325\t                                    strand_name: strand_name.clone(),\n326\t                                    result: \"bead_found\".to_string(),\n327\t                                    duration_ms: elapsed_ms,\n328\t                                })\n329\t                        {\n330\t                            tracing::warn!(\n331\t                                strand = %strand_name,\n332\t                                error = %e,\n333\t                                \"failed to emit strand evaluated telemetry\"\n334\t                            );\n335\t                        }\n336\t                        tracing::info!(\n337\t                            strand = %strand_name,\n338\t                            candidates = filtered.len(),\n339\t                            excluded = excluded_count,\n340\t                            elapsed_ms,\n341\t                            \"strand found candidates\"\n342\t                        );\n343\t                        if let Some(bead) = filtered.into_iter().next() {\n344\t                            // Keep the strand span active through the bead lifecycle.\n345\t                            // The span guard will be dropped when the bead lifecycle ends.\n346\t                            return Ok(SelectOutcome {\n347\t                                bead: Some((bead, strand_name.clone())),\n348\t                                waterfall_restarts: restarts,\n349\t                                restart_triggers,\n350\t                                strand_evaluations,\n351\t                                strand_span_guard: Some(strand_enter),\n352\t                            });\n353\t                        }\n354\t                        continue;\n355\t                    }\n356\t                    StrandResult::WorkCreated => {\n357\t                        if let Err(e) =\n358\t                            self.telemetry\n359\t                                .emit(crate::telemetry::EventKind::StrandEvaluated {\n360\t                                    strand_name: strand_name.clone(),\n361\t                                    result: \"work_created\".to_string(),\n362\t                                    duration_ms: elapsed_ms,\n363\t                                })\n364\t                        {\n365\t                            tracing::warn!(\n366\t                                strand = %strand_name,\n367\t                                error = %e,\n368\t                                \"failed to emit strand evaluated telemetry\"\n369\t                            );\n370\t                        }\n371\t                        restarts += 1;\n372\t                        restart_triggers.push(strand_name.clone());\n373\t                        if restarts > MAX_RESTARTS {\n374\t                            tracing::warn!(\n375\t                                strand = %strand_name,\n376\t                                max_restarts = MAX_RESTARTS,\n377\t                                \"waterfall restart cap reached, continuing to evaluate remaining strands\"\n378\t                            );\n379\t                            // Do NOT return None — continue evaluating remaining strands\n380\t                            // so every strand emits telemetry and the operator can see\n381\t                            // why the worker is idle.\n382\t                            continue;\n383\t                        }\n384\t                        tracing::info!(\n385\t                            strand = %strand_name,\n386\t                            elapsed_ms,\n387\t                            restart = restarts,\n388\t                            \"strand created new work, restarting waterfall\"\n389\t                        );\n390\t                        continue 'waterfall;\n391\t                    }\n392\t                    StrandResult::NoWork => {\n393\t                        if let Err(e) =\n394\t                            self.telemetry\n395\t                                .emit(crate::telemetry::EventKind::StrandEvaluated {\n396\t                                    strand_name: strand_name.clone(),\n397\t                                    result: \"no_work\".to_string(),\n398\t                                    duration_ms: elapsed_ms,\n399\t                                })\n400\t                        {\n401\t                            tracing::warn!(\n402\t                                strand = %strand_name,\n403\t                                error = %e,\n404\t                                \"failed to emit strand evaluated telemetry\"\n405\t                            );\n406\t                        }\n407\t                        tracing::info!(\n408\t                            strand = %strand_name,\n409\t                            elapsed_ms,\n410\t                            \"strand returned no work\"\n411\t                        );\n412\t                        continue;\n413\t                    }\n414\t                    StrandResult::Error(e) => {\n415\t                        if let Err(te) =\n416\t                            self.telemetry\n417\t                                .emit(crate::telemetry::EventKind::StrandEvaluated {\n418\t                                    strand_name: strand_name.clone(),\n419\t                                    result: \"error\".to_string(),\n420\t                                    duration_ms: elapsed_ms,\n421\t                                })\n422\t                        {\n423\t                            tracing::warn!(\n424\t                                strand = %strand_name,\n425\t                                error = %te,\n426\t                                \"failed to emit strand evaluated telemetry\"\n427\t                            );\n428\t                        }\n429\t                        tracing::warn!(\n430\t                            strand = %strand_name,\n431\t                            error = %e,\n432\t                            elapsed_ms,\n433\t                            \"strand error, continuing to next strand\"\n434\t                        );\n435\t                        continue;\n436\t                    }\n437\t                }\n438\t            }\n439\t            // All strands evaluated without finding work or triggering a restart.\n440\t            return Ok(SelectOutcome {\n441\t                bead: None,\n442\t                waterfall_restarts: restarts,\n443\t                restart_triggers,\n444\t                strand_evaluations,\n445\t                strand_span_guard: None,\n446\t            });\n447\t        }\n448\t    }\n449\t\n450\t    /// Return the names of all configured strands (for telemetry/debugging).\n451\t    pub fn strand_names(&self) -> Vec<&str> {\n452\t        self.strands.iter().map(|s| s.name()).collect()\n453\t    }\n454\t}\n455\t\n456\t// ─── Unit tests ──────────────────────────────────────────────────────────────\n457\t\n458\t#[cfg(test)]\n459\tmod tests {\n460\t    use super::*;\n461\t    use crate::types::{Bead, BeadId};\n462\t\n463\t    /// A stub strand that always returns the given result.\n464\t    struct StubStrand {\n465\t        name: &'static str,\n466\t        result: std::sync::Mutex<Option<StrandResult>>,\n467\t    }\n468\t\n469\t    impl StubStrand {\n470\t        fn no_work(name: &'static str) -> Self {\n471\t            StubStrand {\n472\t                name,\n473\t                result: std::sync::Mutex::new(Some(StrandResult::NoWork)),\n474\t            }\n475\t        }\n476\t\n477\t        fn beads(name: &'static str, beads: Vec<Bead>) -> Self {\n478\t            StubStrand {\n479\t                name,\n480\t                result: std::sync::Mutex::new(Some(StrandResult::BeadFound(beads))),\n481\t            }\n482\t        }\n483\t\n484\t        fn work_created(name: &'static str) -> Self {\n485\t            StubStrand {\n486\t                name,\n487\t                result: std::sync::Mutex::new(Some(StrandResult::WorkCreated)),\n488\t            }\n489\t        }\n490\t\n491\t        fn error(name: &'static str, msg: &str) -> Self {\n492\t            StubStrand {\n493\t                name,\n494\t                result: std::sync::Mutex::new(Some(StrandResult::Error(\n495\t                    crate::types::StrandError::ConfigError(msg.to_string()),\n496\t                ))),\n497\t            }\n498\t        }\n499\t    }\n500\t\n501\t    #[async_trait::async_trait]\n502\t    impl Strand for StubStrand {\n503\t        fn name(&self) -> &str {\n504\t            self.name\n505\t        }\n506\t\n507\t        async fn evaluate(&self, _store: &dyn BeadStore) -> StrandResult {\n508\t            self.result\n509\t                .lock()\n510\t                .unwrap()\n511\t                .take()\n512\t                .unwrap_or(StrandResult::NoWork)\n513\t        }\n514\t    }\n515\t\n516\t    fn make_test_bead(id: &str) -> Bead {\n517\t        use chrono::Utc;\n518\t        Bead {\n519\t            id: BeadId::from(id.to_string()),\n520\t            title: format!(\"Test bead {id}\"),\n521\t            body: None,\n522\t            priority: 1,\n523\t            status: crate::types::BeadStatus::Open,\n524\t            assignee: None,\n525\t            labels: vec![],\n526\t            workspace: std::path::PathBuf::from(\"/tmp/test\"),\n527\t            dependencies: vec![],\n528\t            dependents: vec![],\n529\t            created_at: Utc::now(),\n530\t            updated_at: Utc::now(),\n531\t        }\n532\t    }\n533\t\n534\t    /// Stub BeadStore for tests — always returns empty.\n535\t    struct EmptyStore;\n536\t\n537\t    #[async_trait::async_trait]\n538\t    impl BeadStore for EmptyStore {\n539\t        async fn list_all(&self) -> Result<Vec<Bead>> {\n540\t            Ok(vec![])\n541\t        }\n542\t        async fn ready(&self, _filters: &crate::bead_store::Filters) -> Result<Vec<Bead>> {\n543\t            Ok(vec![])\n544\t        }\n545\t        async fn show(&self, _id: &BeadId) -> Result<Bead> {\n546\t            anyhow::bail!(\"not found\")\n547\t        }\n548\t        async fn claim(&self, _id: &BeadId, _actor: &str) -> Result<crate::types::ClaimResult> {\n549\t            anyhow::bail!(\"not implemented\")\n550\t        }\n551\t        async fn release(&self, _id: &BeadId) -> Result<()> {\n552\t            Ok(())\n553\t        }\n554\t        async fn flush(&self) -> Result<()> {\n555\t            Ok(())\n556\t        }\n557\t        async fn reopen(&self, _id: &BeadId) -> Result<()> {\n558\t            Ok(())\n559\t        }\n560\t        async fn labels(&self, _id: &BeadId) -> Result<Vec<String>> {\n561\t            Ok(vec![])\n562\t        }\n563\t        async fn add_label(&self, _id: &BeadId, _label: &str) -> Result<()> {\n564\t            Ok(())\n565\t        }\n566\t        async fn remove_label(&self, _id: &BeadId, _label: &str) -> Result<()> {\n567\t            Ok(())\n568\t        }\n569\t        async fn create_bead(&self, _title: &str, _body: &str, _labels: &[&str]) -> Result<BeadId> {\n570\t            Ok(BeadId::from(\"new-bead\".to_string()))\n571\t        }\n572\t        async fn doctor_repair(&self) -> Result<crate::bead_store::RepairReport> {\n573\t            Ok(crate::bead_store::RepairReport::default())\n574\t        }\n575\t        async fn doctor_check(&self) -> Result<crate::bead_store::RepairReport> {\n576\t            Ok(crate::bead_store::RepairReport::default())\n577\t        }\n578\t        async fn full_rebuild(&self) -> Result<()> {\n579\t            Ok(())\n580\t        }\n581\t        async fn add_dependency(&self, _blocker_id: &BeadId, _blocked_id: &BeadId) -> Result<()> {\n582\t            Ok(())\n583\t        }\n584\t        async fn remove_dependency(\n585\t            &self,\n586\t            _blocked_id: &BeadId,\n587\t            _blocker_id: &BeadId,\n588\t        ) -> Result<()> {\n589\t            Ok(())\n590\t        }\n591\t        async fn claim_auto(&self, _actor: &str) -> Result<crate::types::ClaimResult> {\n592\t            Ok(crate::types::ClaimResult::NotClaimable {\n593\t                reason: \"claim_auto not supported in mock\".to_string(),\n594\t            })\n595\t        }\n596\t    }\n597\t\n598\t    #[tokio::test]\n599\t    async fn empty_waterfall_returns_none() {\n600\t        let runner = StrandRunner::new(vec![]);\n601\t        let store = EmptyStore;\n602\t        let outcome = runner.select(&store, &HashSet::new()).await.unwrap();\n603\t        assert!(outcome.bead.is_none());\n604\t        assert_eq!(outcome.waterfall_restarts, 0);\n605\t    }\n606\t\n607\t    #[tokio::test]\n608\t    async fn first_strand_with_beads_wins() {\n609\t        let bead = make_test_bead(\"test-001\");\n610\t        let runner = StrandRunner::new(vec![\n611\t            Box::new(StubStrand::no_work(\"empty\")),\n612\t            Box::new(StubStrand::beads(\"finder\", vec![bead])),\n613\t        ]);\n614\t        let store = EmptyStore;\n615\t        let outcome = runner.select(&store, &HashSet::new()).await.unwrap();\n616\t        let (bead, strand_name) = outcome.bead.unwrap();\n617\t        assert_eq!(bead.id, BeadId::from(\"test-001\".to_string()));\n618\t        assert_eq!(strand_name, \"finder\");\n619\t    }\n620\t\n621\t    #[tokio::test]\n622\t    async fn work_created_restarts_waterfall() {\n623\t        let runner = StrandRunner::new(vec![\n624\t            Box::new(StubStrand::work_created(\"creator\")),\n625\t            Box::new(StubStrand::beads(\n626\t                \"finder\",\n627\t                vec![make_test_bead(\"test-002\")],\n628\t            )),\n629\t        ]);\n630\t        let store = EmptyStore;\n631\t        // WorkCreated restarts the waterfall. On the second pass, \"creator\"\n632\t        // returns NoWork (stub consumed) and \"finder\" yields the bead.\n633\t        let outcome = runner.select(&store, &HashSet::new()).await.unwrap();\n634\t        assert_eq!(\n635\t            outcome.bead.map(|(b, _)| b.id),\n636\t            Some(BeadId::from(\"test-002\".to_string()))\n637\t        );\n638\t        assert_eq!(outcome.waterfall_restarts, 1);\n639\t        assert_eq!(outcome.restart_triggers, vec![\"creator\"]);\n640\t    }\n641\t\n642\t    #[tokio::test]\n643\t    async fn all_no_work_returns_none() {\n644\t        let runner = StrandRunner::new(vec![\n645\t            Box::new(StubStrand::no_work(\"s1\")),\n646\t            Box::new(StubStrand::no_work(\"s2\")),\n647\t            Box::new(StubStrand::no_work(\"s3\")),\n648\t        ]);\n649\t        let store = EmptyStore;\n650\t        let outcome = runner.select(&store, &HashSet::new()).await.unwrap();\n651\t        assert!(outcome.bead.is_none());\n652\t        assert_eq!(outcome.waterfall_restarts, 0);\n653\t    }\n654\t\n655\t    #[tokio::test]\n656\t    async fn strand_names_returns_all_names() {\n657\t        let runner = StrandRunner::new(vec![\n658\t            Box::new(StubStrand::no_work(\"alpha\")),\n659\t            Box::new(StubStrand::no_work(\"beta\")),\n660\t        ]);\n661\t        assert_eq!(runner.strand_names(), vec![\"alpha\", \"beta\"]);\n662\t    }\n663\t\n664\t    /// A strand that always returns WorkCreated (never consumed).\n665\t    struct AlwaysWorkCreated;\n666\t\n667\t    #[async_trait::async_trait]\n668\t    impl Strand for AlwaysWorkCreated {\n669\t        fn name(&self) -> &str {\n670\t            \"always-creates\"\n671\t        }\n672\t        async fn evaluate(&self, _store: &dyn BeadStore) -> StrandResult {\n673\t            StrandResult::WorkCreated\n674\t        }\n675\t    }\n676\t\n677\t    #[tokio::test]\n678\t    async fn error_strand_continues_to_next() {\n679\t        let bead = make_test_bead(\"after-error\");\n680\t        let runner = StrandRunner::new(vec![\n681\t            Box::new(StubStrand::error(\"broken\", \"something went wrong\")),\n682\t            Box::new(StubStrand::beads(\"finder\", vec![bead])),\n683\t        ]);\n684\t        let store = EmptyStore;\n685\t        let outcome = runner.select(&store, &HashSet::new()).await.unwrap();\n686\t        assert_eq!(\n687\t            outcome.bead.map(|(b, _)| b.id),\n688\t            Some(BeadId::from(\"after-error\".to_string()))\n689\t        );\n690\t    }\n691\t\n692\t    #[tokio::test]\n693\t    async fn restart_cap_prevents_infinite_loop() {\n694\t        // AlwaysWorkCreated triggers restarts every pass.\n695\t        // After MAX_RESTARTS (3), the waterfall should return None.\n696\t        let runner = StrandRunner::new(vec![Box::new(AlwaysWorkCreated)]);\n697\t        let store = EmptyStore;\n698\t        let exclusions = HashSet::new();\n699\t        let outcome = runner.select(&store, &exclusions).await.unwrap();\n700\t        assert!(outcome.bead.is_none());\n701\t        assert_eq!(outcome.waterfall_restarts, 4); // 3 restarts + 1 cap-exceeded\n702\t        assert_eq!(\n703\t            outcome.restart_triggers,\n704\t            vec![\n705\t                \"always-creates\",\n706\t                \"always-creates\",\n707\t                \"always-creates\",\n708\t                \"always-creates\"\n709\t            ]\n710\t        );\n711\t    }\n712\t\n713\t    /// Strand that increments an external counter each time it is evaluated.\n714\t    struct CountingStrand {\n715\t        name: &'static str,\n716\t        count: std::sync::Arc<std::sync::atomic::AtomicU32>,\n717\t        returns_work_created: bool,\n718\t    }\n719\t\n720\t    impl CountingStrand {\n721\t        fn no_work(\n722\t            name: &'static str,\n723\t            count: std::sync::Arc<std::sync::atomic::AtomicU32>,\n724\t        ) -> Self {\n725\t            CountingStrand {\n726\t                name,\n727\t                count,\n728\t                returns_work_created: false,\n729\t            }\n730\t        }\n731\t\n732\t        fn work_created(\n733\t            name: &'static str,\n734\t            count: std::sync::Arc<std::sync::atomic::AtomicU32>,\n735\t        ) -> Self {\n736\t            CountingStrand {\n737\t                name,\n738\t                count,\n739\t                returns_work_created: true,\n740\t            }\n741\t        }\n742\t    }\n743\t\n744\t    #[async_trait::async_trait]\n745\t    impl Strand for CountingStrand {\n746\t        fn name(&self) -> &str {\n747\t            self.name\n748\t        }\n749\t\n750\t        async fn evaluate(&self, _store: &dyn BeadStore) -> StrandResult {\n751\t            self.count.fetch_add(1, std::sync::atomic::Ordering::SeqCst);\n752\t            if self.returns_work_created {\n753\t                StrandResult::WorkCreated\n754\t            } else {\n755\t                StrandResult::NoWork\n756\t            }\n757\t        }\n758\t    }\n759\t\n760\t    #[tokio::test]\n761\t    async fn restart_cap_still_evaluates_remaining_strands() {\n762\t        // When a strand repeatedly returns WorkCreated, the waterfall restarts.\n763\t        // After MAX_RESTARTS, the remaining strands should still be evaluated\n764\t        // so that operators see telemetry for every strand in the cycle.\n765\t        let creator_count = std::sync::Arc::new(std::sync::atomic::AtomicU32::new(0));\n766\t        let observer_a_count = std::sync::Arc::new(std::sync::atomic::AtomicU32::new(0));\n767\t        let observer_b_count = std::sync::Arc::new(std::sync::atomic::AtomicU32::new(0));\n768\t\n769\t        let runner = StrandRunner::new(vec![\n770\t            Box::new(CountingStrand::work_created(\n771\t                \"creator\",\n772\t                creator_count.clone(),\n773\t            )),\n774\t            Box::new(CountingStrand::no_work(\n775\t                \"observer-a\",\n776\t                observer_a_count.clone(),\n777\t            )),\n778\t            Box::new(CountingStrand::no_work(\n779\t                \"observer-b\",\n780\t                observer_b_count.clone(),\n781\t            )),\n782\t        ]);\n783\t        let store = EmptyStore;\n784\t        let exclusions = HashSet::new();\n785\t        let outcome = runner.select(&store, &exclusions).await.unwrap();\n786\t        assert!(outcome.bead.is_none());\n787\t\n788\t        // creator should have been evaluated MAX_RESTARTS + 1 = 4 times.\n789\t        assert_eq!(creator_count.load(std::sync::atomic::Ordering::SeqCst), 4);\n790\t\n791\t        // After the restart cap, the remaining strands should each be evaluated\n792\t        // at least once (the final pass through the waterfall).\n793\t        let a = observer_a_count.load(std::sync::atomic::Ordering::SeqCst);\n794\t        let b = observer_b_count.load(std::sync::atomic::Ordering::SeqCst);\n795\t        assert!(\n796\t            a >= 1,\n797\t            \"observer_a should be evaluated at least once, got {a}\"\n798\t        );\n799\t        assert!(\n800\t            b >= 1,\n801\t            \"observer_b should be evaluated at least once, got {b}\"\n802\t        );\n803\t\n804\t        // All 4 WorkCreated events are captured in restart_triggers.\n805\t        assert_eq!(outcome.waterfall_restarts, 4);\n806\t        assert_eq!(outcome.restart_triggers.len(), 4);\n807\t        assert!(outcome.restart_triggers.iter().all(|t| t == \"creator\"));\n808\t    }\n809\t\n810\t    #[tokio::test]\n811\t    async fn empty_bead_found_continues_to_next() {\n812\t        let bead = make_test_bead(\"real-bead\");\n813\t        let runner = StrandRunner::new(vec![\n814\t            Box::new(StubStrand::beads(\"empty-finder\", vec![])),\n815\t            Box::new(StubStrand::beads(\"real-finder\", vec![bead])),\n816\t        ]);\n817\t        let store = EmptyStore;\n818\t        let exclusions = HashSet::new();\n819\t        let outcome = runner.select(&store, &exclusions).await.unwrap();\n820\t        assert_eq!(\n821\t            outcome.bead.map(|(b, _)| b.id),\n822\t            Some(BeadId::from(\"real-bead\".to_string()))\n823\t        );\n824\t    }\n825\t\n826\t    #[tokio::test]\n827\t    async fn multiple_beads_returns_first() {\n828\t        let bead1 = make_test_bead(\"first\");\n829\t        let bead2 = make_test_bead(\"second\");\n830\t        let runner = StrandRunner::new(vec![Box::new(StubStrand::beads(\n831\t            \"multi\",\n832\t            vec![bead1, bead2],\n833\t        ))]);\n834\t        let store = EmptyStore;\n835\t        let exclusions = HashSet::new();\n836\t        let outcome = runner.select(&store, &exclusions).await.unwrap();\n837\t        assert_eq!(\n838\t            outcome.bead.map(|(b, _)| b.id),\n839\t            Some(BeadId::from(\"first\".to_string()))\n840\t        );\n841\t    }\n842\t\n843\t    #[tokio::test]\n844\t    async fn from_config_includes_full_waterfall() {\n845\t        let dir = tempfile::tempdir().unwrap();\n846\t        let config = Config::default();\n847\t        let registry = crate::registry::Registry::new(dir.path());\n848\t        let telemetry = crate::telemetry::Telemetry::new(\"test\".to_string());\n849\t        let runner = StrandRunner::from_config(&config, \"test-worker\", registry, telemetry);\n850\t        assert_eq!(\n851\t            runner.strand_names(),\n852\t            vec![\n853\t                \"pluck\", \"mend\", \"explore\", \"weave\", \"unravel\", \"pulse\", \"reflect\", \"splice\",\n854\t                \"knot\"\n855\t            ]\n856\t        );\n857\t    }\n858\t}\n859\t"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"37c2fe10-9842-49c1-a09b-61c7198ceb25","timestamp":"2026-05-14T05:05:49.977Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CSwFSeZLhd865P9ZuprerG","type":"tool_result","content":"554-}\n555-\n556-impl PulseConfig {\n557-    fn default_max_beads_per_run() -> u32 {\n558-        5\n559-    }\n560-    fn default_cooldown_hours() -> u64 {\n561-        48\n562-    }\n563-    fn default_severity_threshold() -> u8 {\n564-        3\n565-    }\n566-}\n567-\n568-/// Reflect strand configuration (meta-analysis and learning consolidation).\n569-///\n570-/// Reflect runs after all other strands return NoWork. It reads bead close\n571-/// bodies since the last consolidation, extracts retrospective patterns, merges\n572-/// them into learnings.md, and promotes high-frequency patterns to skill files.\n573-#[derive(Debug, Clone, Serialize, Deserialize)]\n574:pub struct ReflectConfig {\n575-    / Whether the Reflect strand is enabled (default: true).\n576-    #[serde(default = \"ReflectConfig::default_enabled\")]\n577-    pub enabled: bool,\n578-\n579-    / Minimum beads closed since last consolidation before running (default: 10).\n580-    #[serde(default = \"ReflectConfig::default_min_beads_since_last\")]\n581-    pub min_beads_since_last: usize,\n582-\n583-    / Minimum hours between reflect runs (default: 24).\n584-    #[serde(default = \"ReflectConfig::default_cooldown_hours\")]\n585-    pub cooldown_hours: u64,\n586-\n587-    / Maximum learnings to add per run (default: 10).\n588-    #[serde(default = \"ReflectConfig::default_max_learnings_per_run\")]\n589-    pub max_learnings_per_run: usize,\n590-\n591-    / Maximum skill files to create or update per run (default: 3).\n592-    #[serde(default = \"ReflectConfig::default_max_skills_per_run\")]\n593-    pub max_skills_per_run: usize,\n594-"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"05487f48-9106-4cfc-96f2-f4282a6a64c8","timestamp":"2026-05-14T05:05:54.143Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016TkxXJw5kQWkHgrtcVJCQR","type":"tool_result","content":"1\t//! Core types and enums for NEEDLE.\n2\t//!\n3\t//! This is a leaf module — it depends on nothing else in the crate.\n4\t//! Enums that may gain variants in the future are marked `#[non_exhaustive]`.\n5\t//!\n6\t//! Design invariant: no wildcard (`_`) arms in any `match` on these enums.\n7\t//! Every variant must be explicitly handled at every call site.\n8\t\n9\tuse std::fmt;\n10\tuse std::ops::Deref;\n11\tuse std::str::FromStr;\n12\t\n13\tuse chrono::{DateTime, Utc};\n14\tuse serde::{Deserialize, Serialize};\n15\t\n16\t// ──────────────────────────────────────────────────────────────────────────────\n17\t// BeadId newtype\n18\t// ──────────────────────────────────────────────────────────────────────────────\n19\t\n20\t/// A validated bead identifier (e.g., `needle-gob`).\n21\t///\n22\t/// Wraps `String` with `Display`, `FromStr`, `Hash`, and `Eq` impls.\n23\t#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]\n24\t#[serde(transparent)]\n25\tpub struct BeadId(String);\n26\t\n27\timpl fmt::Display for BeadId {\n28\t    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {\n29\t        f.write_str(&self.0)\n30\t    }\n31\t}\n32\t\n33\timpl FromStr for BeadId {\n34\t    type Err = std::convert::Infallible;\n35\t\n36\t    fn from_str(s: &str) -> Result<Self, Self::Err> {\n37\t        Ok(BeadId(s.to_owned()))\n38\t    }\n39\t}\n40\t\n41\timpl From<String> for BeadId {\n42\t    fn from(s: String) -> Self {\n43\t        BeadId(s)\n44\t    }\n45\t}\n46\t\n47\timpl From<&str> for BeadId {\n48\t    fn from(s: &str) -> Self {\n49\t        BeadId(s.to_owned())\n50\t    }\n51\t}\n52\t\n53\timpl From<BeadId> for String {\n54\t    fn from(id: BeadId) -> Self {\n55\t        id.0\n56\t    }\n57\t}\n58\t\n59\timpl AsRef<str> for BeadId {\n60\t    fn as_ref(&self) -> &str {\n61\t        &self.0\n62\t    }\n63\t}\n64\t\n65\timpl Deref for BeadId {\n66\t    type Target = str;\n67\t\n68\t    fn deref(&self) -> &Self::Target {\n69\t        &self.0\n70\t    }\n71\t}\n72\t\n73\t// ──────────────────────────────────────────────────────────────────────────────\n74\t// WorkerId type alias\n75\t// ──────────────────────────────────────────────────────────────────────────────\n76\t\n77\t/// Identifies a worker instance (e.g., `needle-01`).\n78\tpub type WorkerId = String;\n79\t\n80\t// ──────────────────────────────────────────────────────────────────────────────\n81\t// Priority type alias\n82\t// ──────────────────────────────────────────────────────────────────────────────\n83\t\n84\t/// Priority level of a bead. Lower number = higher priority (P1 > P2 > P3).\n85\tpub type Priority = u8;\n86\t\n87\t// ──────────────────────────────────────────────────────────────────────────────\n88\t// BeadStatus\n89\t// ──────────────────────────────────────────────────────────────────────────────\n90\t\n91\t/// Lifecycle status of a bead in the store.\n92\t#[non_exhaustive]\n93\t#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]\n94\t#[serde(rename_all = \"snake_case\")]\n95\tpub enum BeadStatus {\n96\t    Open,\n97\t    InProgress,\n98\t    Done,\n99\t    /// `br show --json` emits `\"closed\"` for done beads. Treat as equivalent\n100\t    /// to `Done` so deserialization succeeds."}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"f73cd524-55f2-43d7-9675-4d64eaaa9856","timestamp":"2026-05-14T05:05:54.561Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CtEb96jYTfLtD5L3DFfSZV","type":"tool_result","content":"514-    #[serde(default = \"PulseConfig::default_cooldown_hours\")]\n515-    pub cooldown_hours: u64,\n516-\n517-    / Minimum severity level to create a bead (1-5, 1=critical, default: 3).\n518-    #[serde(default = \"PulseConfig::default_severity_threshold\")]\n519-    pub severity_threshold: u8,\n520-\n521-    /// Custom prompt template for agent-assisted analysis.\n522-    ///\n523-    / Template variables: `{scanner}`, `{output}`, `{workspace}`.\n524-    #[serde(default)]\n525-    pub prompt_template: Option<String>,\n526-}\n527-\n528-/// Configuration for a single scanner.\n529-#[derive(Debug, Clone, Serialize, Deserialize)]\n530-pub struct ScannerConfig {\n531-    /// Human-readable name for this scanner (e.g., \"clippy\").\n532-    pub name: String,\n533-\n534-    /// Shell command to run the scanner.\n535-    pub command: String,\n536-\n537-    /// Minimum severity for findings from this scanner (1-5).\n538-    /// Overrides global severity_threshold if set.\n539-    #[serde(default)]\n540-    pub severity_threshold: Option<u8>,\n541-}\n542-\n543-impl Default for PulseConfig {\n544-    fn default() -> Self {\n545-        PulseConfig {\n546-            enabled: false,\n547-            scanners: Vec::new(),\n548-            max_beads_per_run: Self::default_max_beads_per_run(),\n549-            cooldown_hours: Self::default_cooldown_hours(),\n550-            severity_threshold: Self::default_severity_threshold(),\n551-            prompt_template: None,\n552-        }\n553-    }\n554-}\n555-\n556-impl PulseConfig {\n557-    fn default_max_beads_per_run() -> u32 {\n558-        5\n559-    }\n560-    fn default_cooldown_hours() -> u64 {\n561-        48\n562-    }\n563-    fn default_severity_threshold() -> u8 {\n564-        3\n565-    }\n566-}\n567-\n568-/// Reflect strand configuration (meta-analysis and learning consolidation).\n569-///\n570-/// Reflect runs after all other strands return NoWork. It reads bead close\n571-/// bodies since the last consolidation, extracts retrospective patterns, merges\n572-/// them into learnings.md, and promotes high-frequency patterns to skill files.\n573-#[derive(Debug, Clone, Serialize, Deserialize)]\n574:pub struct ReflectConfig {\n575-    / Whether the Reflect strand is enabled (default: true).\n576-    #[serde(default = \"ReflectConfig::default_enabled\")]\n577-    pub enabled: bool,\n578-\n579-    / Minimum beads closed since last consolidation before running (default: 10).\n580-    #[serde(default = \"ReflectConfig::default_min_beads_since_last\")]\n581-    pub min_beads_since_last: usize,\n582-\n583-    / Minimum hours between reflect runs (default: 24).\n584-    #[serde(default = \"ReflectConfig::default_cooldown_hours\")]\n585-    pub cooldown_hours: u64,\n586-\n587-    / Maximum learnings to add per run (default: 10).\n588-    #[serde(default = \"ReflectConfig::default_max_learnings_per_run\")]\n589-    pub max_learnings_per_run: usize,\n590-\n591-    / Maximum skill files to create or update per run (default: 3).\n592-    #[serde(default = \"ReflectConfig::default_max_skills_per_run\")]\n593-    pub max_skills_per_run: usize,\n594-\n595-    / Days before unreinforced entries are pruned (default: 90).\n596-    #[serde(default = \"ReflectConfig::default_learning_retention_days\")]\n597-    pub learning_retention_days: u32,\n598-\n599-    / Maximum total learning entries before forced pruning (default: 80).\n600-    #[serde(default = \"ReflectConfig::default_max_learnings\")]\n601-    pub max_learnings: usize,\n602-\n603-    /// Agent command for automatic retrospective extraction (e.g. `claude --print`).\n604-    /// When set, beads closed without a `## Retrospective` block will be passed to\n605-    /// this agent to infer one. When `None`, only explicit retrospective blocks are used.\n606-    #[serde(default)]\n607-    pub extraction_agent: Option<String>,\n608-\n609-    /// Custom prompt template for retrospective extraction.\n610-    / Template variables: `{title}`, `{close_body}`.\n611-    /// When `None`, the built-in default prompt is used.\n612-    #[serde(default)]\n613-    pub extraction_prompt_template: Option<String>,\n614-\n615-    / Maximum beads to pass to the extraction agent per Reflect run (default: 5).\n616-    #[serde(default = \"ReflectConfig::default_max_extraction_per_run\")]\n617-    pub max_extraction_per_run: usize,\n618-\n619-    / How far back to read session transcripts in days (default: 7).\n620-    #[serde(default = \"ReflectConfig::default_transcript_recency_days\")]\n621-    pub transcript_recency_days: u32,\n622-\n623-    / Cap on sessions to analyze per transcript run (default: 50).\n624-    #[serde(default = \"ReflectConfig::default_transcript_max_sessions\")]\n625-    pub transcript_max_sessions: usize,\n626-\n627-    / Jaccard similarity threshold for drift session clustering (default: 0.6).\n628-    #[serde(default = \"ReflectConfig::default_drift_similarity_threshold\")]\n629-    pub drift_similarity_threshold: f64,\n630-\n631-    / Enable drift detection (default: true).\n632-    #[serde(default = \"ReflectConfig::default_drift_enabled\")]\n633-    pub drift_enabled: bool,\n634-"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"91e00ef9-2fb8-4f3d-8546-6c6915738a04","timestamp":"2026-05-14T05:05:56.740Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WND5ZtwNFm2aAAejzVvYdW","type":"tool_result","content":"574\tpub struct ReflectConfig {\n575\t    /// Whether the Reflect strand is enabled (default: true).\n576\t    #[serde(default = \"ReflectConfig::default_enabled\")]\n577\t    pub enabled: bool,\n578\t\n579\t    /// Minimum beads closed since last consolidation before running (default: 10).\n580\t    #[serde(default = \"ReflectConfig::default_min_beads_since_last\")]\n581\t    pub min_beads_since_last: usize,\n582\t\n583\t    /// Minimum hours between reflect runs (default: 24).\n584\t    #[serde(default = \"ReflectConfig::default_cooldown_hours\")]\n585\t    pub cooldown_hours: u64,\n586\t\n587\t    /// Maximum learnings to add per run (default: 10).\n588\t    #[serde(default = \"ReflectConfig::default_max_learnings_per_run\")]\n589\t    pub max_learnings_per_run: usize,\n590\t\n591\t    /// Maximum skill files to create or update per run (default: 3).\n592\t    #[serde(default = \"ReflectConfig::default_max_skills_per_run\")]\n593\t    pub max_skills_per_run: usize,\n594\t\n595\t    /// Days before unreinforced entries are pruned (default: 90).\n596\t    #[serde(default = \"ReflectConfig::default_learning_retention_days\")]\n597\t    pub learning_retention_days: u32,\n598\t\n599\t    /// Maximum total learning entries before forced pruning (default: 80).\n600\t    #[serde(default = \"ReflectConfig::default_max_learnings\")]\n601\t    pub max_learnings: usize,\n602\t\n603\t    /// Agent command for automatic retrospective extraction (e.g. `claude --print`).\n604\t    /// When set, beads closed without a `## Retrospective` block will be passed to\n605\t    /// this agent to infer one. When `None`, only explicit retrospective blocks are used.\n606\t    #[serde(default)]\n607\t    pub extraction_agent: Option<String>,\n608\t\n609\t    /// Custom prompt template for retrospective extraction.\n610\t    /// Template variables: `{title}`, `{close_body}`.\n611\t    /// When `None`, the built-in default prompt is used.\n612\t    #[serde(default)]\n613\t    pub extraction_prompt_template: Option<String>,\n614\t\n615\t    /// Maximum beads to pass to the extraction agent per Reflect run (default: 5).\n616\t    #[serde(default = \"ReflectConfig::default_max_extraction_per_run\")]\n617\t    pub max_extraction_per_run: usize,\n618\t\n619\t    /// How far back to read session transcripts in days (default: 7).\n620\t    #[serde(default = \"ReflectConfig::default_transcript_recency_days\")]\n621\t    pub transcript_recency_days: u32,\n622\t\n623\t    /// Cap on sessions to analyze per transcript run (default: 50).\n624\t    #[serde(default = \"ReflectConfig::default_transcript_max_sessions\")]\n625\t    pub transcript_max_sessions: usize,\n626\t\n627\t    /// Jaccard similarity threshold for drift session clustering (default: 0.6).\n628\t    #[serde(default = \"ReflectConfig::default_drift_similarity_threshold\")]\n629\t    pub drift_similarity_threshold: f64,\n630\t\n631\t    /// Enable drift detection (default: true).\n632\t    #[serde(default = \"ReflectConfig::default_drift_enabled\")]\n633\t    pub drift_enabled: bool,\n634\t\n635\t    /// Enable ADR decision extraction (default: true).\n636\t    #[serde(default = \"ReflectConfig::default_adr_enabled\")]\n637\t    pub adr_enabled: bool,\n638\t\n639\t    /// Enable writing learnings to CLAUDE.md (default: true).\n640\t    #[serde(default = \"ReflectConfig::default_claude_md_placement\")]\n641\t    pub claude_md_placement: bool,\n642\t}\n643\t\n644\timpl Default for ReflectConfig {\n645\t    fn default() -> Self {\n646\t        ReflectConfig {\n647\t            enabled: Self::default_enabled(),\n648\t            min_beads_since_last: Self::default_min_beads_since_last(),\n649\t            cooldown_hours: Self::default_cooldown_hours(),\n650\t            max_learnings_per_run: Self::default_max_learnings_per_run(),\n651\t            max_skills_per_run: Self::default_max_skills_per_run(),\n652\t            learning_retention_days: Self::default_learning_retention_days(),\n653\t            max_learnings: Self::default_max_learnings(),\n654\t            extraction_agent: None,\n655\t            extraction_prompt_template: None,\n656\t            max_extraction_per_run: Self::default_max_extraction_per_run(),\n657\t            transcript_recency_days: Self::default_transcript_recency_days(),\n658\t            transcript_max_sessions: Self::default_transcript_max_sessions(),\n659\t            drift_similarity_threshold: Self::default_drift_similarity_threshold(),\n660\t            drift_enabled: Self::default_drift_enabled(),\n661\t            adr_enabled: Self::default_adr_enabled(),\n662\t            claude_md_placement: Self::default_claude_md_placement(),\n663\t        }\n664\t    }\n665\t}\n666\t\n667\timpl ReflectConfig {\n668\t    fn default_enabled() -> bool {\n669\t        true\n670\t    }\n671\t    fn default_min_beads_since_last() -> usize {\n672\t        10\n673\t    }"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"1594c14a-1a1b-4e73-adec-68b32304e08c","timestamp":"2026-05-14T05:05:58.874Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016kFivp54jn6NHHi65XaUMg","type":"tool_result","content":"1-/! Reflect strand: meta-analysis and learning consolidation.\n2-//!\n3-//! Strand 7 in the waterfall. Runs after all other strands return NoWork.\n4-//! This is the last productive strategy before giving up — meta-analysis\n5-//! only runs when there is genuinely nothing else to do.\n6-//!\n7-/! KAIROS-inspired four-phase cycle:\n8-//! 1. **Orient** — read current learnings.md and existing skills, check sizes.\n9://! 2. **Gather** — read bead close bodies from issues.jsonl since last\n10-//!    consolidation; read traces for failed beads.\n11-//! 3. **Consolidate** — extract retrospective blocks, identify cross-bead\n12-//!    patterns, merge into learnings.md, deduplicate, resolve contradictions.\n13-//!    Promote learnings with reinforcement_count ≥ 3 to skill files.\n14-//! 4. **Prune** — remove entries older than `learning_retention_days` days\n15-//!    without reinforcement, compress similar entries, enforce `max_learnings`.\n16-//!\n17-/! Entry conditions (checked before running):\n18-//! - `strands.reflect.enabled` is true\n19-//! - 10+ beads closed since last consolidation (configurable)\n--\n183-\n184-impl ReflectState {\n185-    fn load(state_dir: &Path) -> Result<Option<Self>> {\n186-        let path = state_dir.join(\"reflect_state.json\");\n187-        if !path.exists() {\n188-            return Ok(None);\n189-        }\n190-        let content = std::fs::read_to_string(&path)\n191-            .with_context(|| format!(\"failed to read reflect state: {}\", path.display()))?;\n192-        let state: ReflectState =\n193:            serde_json::from_str(&content).with_context(|| \"failed to parse reflect state\")?;\n194-        Ok(Some(state))\n195-    }\n196-\n197-    fn save(&self, state_dir: &Path) -> Result<()> {\n198-        std::fs::create_dir_all(state_dir)\n199-            .with_context(|| format!(\"failed to create state dir: {}\", state_dir.display()))?;\n200-        let path = state_dir.join(\"reflect_state.json\");\n201-        let content = serde_json::to_string_pretty(self)?;\n202-        std::fs::write(&path, content)\n203-            .with_context(|| format!(\"failed to write reflect state: {}\", path.display()))?;\n204-        Ok(())\n205-    }\n206-}\n207-\n208-// ──────────────────────────────────────────────────────────────────────────────\n209:// Bead record (minimal, parsed from issues.jsonl)\n210-// ──────────────────────────────────────────────────────────────────────────────\n211-\n212:/// Minimal closed-bead record read from issues.jsonl.\n\n[Showing results with pagination = limit: 50]"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"6b0c4594-4510-4bd5-a670-57f17403ac2e","timestamp":"2026-05-14T05:06:07.933Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BHvSWfVcgSXm1dEx1kJoHU","type":"tool_result","content":"1\t//! Learning and retrospective extraction from bead close bodies.\n2\t//!\n3\t//! The `Retrospective` type parses structured learning blocks from bead close\n4\t//! messages. Agents write retrospectives when closing beads, and the consolidator\n5\t//! (reflect strand) extracts patterns for workspace learning.\n6\t//!\n7\t//! ## Workspace Learnings\n8\t//!\n9\t//! Each workspace can maintain a `.beads/learnings.md` file that captures\n10\t//! learnings from completed beads. These are automatically injected into prompts\n11\t//! to inform future work.\n12\t\n13\tuse std::path::{Path, PathBuf};\n14\t\n15\tuse anyhow::{Context, Result};\n16\tuse chrono::{DateTime, Utc};\n17\tuse serde::{Deserialize, Serialize};\n18\tuse sha2::{Digest, Sha256};\n19\t\n20\t// ──────────────────────────────────────────────────────────────────────────────\n21\t// Learning Entry Types\n22\t// ──────────────────────────────────────────────────────────────────────────────\n23\t\n24\t/// Confidence level for a learning entry.\n25\t#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]\n26\t#[serde(rename_all = \"lowercase\")]\n27\tpub enum Confidence {\n28\t    High,\n29\t    Medium,\n30\t    Low,\n31\t}\n32\t\n33\timpl Confidence {\n34\t    /// Parse from string (case-insensitive).\n35\t    #[allow(clippy::should_implement_trait)]\n36\t    pub fn from_str(s: &str) -> Option<Self> {\n37\t        match s.to_lowercase().as_str() {\n38\t            \"high\" => Some(Confidence::High),\n39\t            \"medium\" => Some(Confidence::Medium),\n40\t            \"low\" => Some(Confidence::Low),\n41\t            _ => None,\n42\t        }\n43\t    }\n44\t\n45\t    /// Convert to display string.\n46\t    pub fn as_str(&self) -> &'static str {\n47\t        match self {\n48\t            Confidence::High => \"high\",\n49\t            Confidence::Medium => \"medium\",\n50\t            Confidence::Low => \"low\",\n51\t        }\n52\t    }\n53\t}\n54\t\n55\t/// Type of bead that produced this learning.\n56\t#[derive(Debug, Clone, Serialize, Deserialize)]\n57\t#[serde(rename_all = \"kebab-case\")]\n58\tpub enum BeadType {\n59\t    BugFix,\n60\t    Feature,\n61\t    Refactor,\n62\t    Test,\n63\t    Documentation,\n64\t    Other,\n65\t}\n66\t\n67\timpl BeadType {\n68\t    /// Parse from string (case-insensitive, supports various formats).\n69\t    #[allow(clippy::should_implement_trait)]\n70\t    pub fn from_str(s: &str) -> Option<Self> {\n71\t        match s.to_lowercase().replace('_', \"-\").as_str() {\n72\t            \"bug-fix\" | \"bugfix\" | \"bug\" => Some(BeadType::BugFix),\n73\t            \"feature\" => Some(BeadType::Feature),\n74\t            \"refactor\" => Some(BeadType::Refactor),\n75\t            \"test\" | \"testing\" => Some(BeadType::Test),\n76\t            \"documentation\" | \"docs\" | \"doc\" => Some(BeadType::Documentation),\n77\t            \"other\" => Some(BeadType::Other),\n78\t            _ => None,\n79\t        }\n80\t    }\n81\t\n82\t    /// Convert to display string.\n83\t    pub fn as_str(&self) -> &'static str {\n84\t        match self {\n85\t            BeadType::BugFix => \"bug-fix\",\n86\t            BeadType::Feature => \"feature\",\n87\t            BeadType::Refactor => \"refactor\",\n88\t            BeadType::Test => \"test\",\n89\t            BeadType::Documentation => \"documentation\",\n90\t            BeadType::Other => \"other\",\n91\t        }\n92\t    }\n93\t}\n94\t\n95\t/// A single learning entry from a completed bead.\n96\t#[derive(Debug, Clone, Serialize, Deserialize)]\n97\tpub struct LearningEntry {\n98\t    /// Date the learning was captured (YYYY-MM-DD).\n99\t    pub date: String,\n100\t    /// Bead ID that produced this learning.\n101\t    pub bead_id: String,\n102\t    /// Worker that handled the bead.\n103\t    pub worker: String,\n104\t    /// Type of bead work.\n105\t    pub bead_type: BeadType,\n106\t    /// What was discovered or learned.\n107\t    pub observation: String,\n108\t    /// Confidence level in this learning.\n109\t    pub confidence: Confidence,\n110\t    /// Source description (e.g., \"retrospective from bead nd-a3f8\").\n111\t    pub source: String,\n112\t    /// Reinforcement count (number of times this learning was referenced).\n113\t    #[serde(default)]\n114\t    pub reinforcement_count: u32,\n115\t    /// Last time this entry was reinforced.\n116\t    #[serde(default)]\n117\t    pub last_reinforced: Option<DateTime<Utc>>,\n118\t    /// Associated ADR decision ID (if this learning represents a decision).\n119\t    #[serde(default)]\n120\t    pub decision_id: Option<String>,\n121\t    /// ADR decision context (if this learning represents a decision).\n122\t    #[serde(default)]\n123\t    pub decision_context: Option<DecisionContext>,\n124\t}\n125\t\n126\t/// ADR-lite decision context for learnings that represent intentional decisions.\n127\t///\n128\t/// Captured when promoting a learning that originated from a decision point\n129\t/// (agent chose between alternatives). Preserves the \"why\" not just the \"what\".\n130\t#[derive(Debug, Clone, Serialize, Deserialize)]\n131\tpub struct DecisionContext {\n132\t    /// The decision that was made (what was chosen).\n133\t    pub decision: String,\n134\t    /// Context/problem space (what situation led to the decision).\n135\t    pub context: String,\n136\t    /// Rationale (why this choice was made over alternatives).\n137\t    pub rationale: String,\n138\t    /// Alternatives considered (what other options were evaluated).\n139\t    #[serde(default)]\n140\t    pub alternatives: Vec<String>,\n141\t}\n142\t\n143\timpl LearningEntry {\n144\t    /// Create a new learning entry.\n145\t    pub fn new(\n146\t        bead_id: String,\n147\t        worker: String,\n148\t        bead_type: BeadType,\n149\t        observation: String,\n150\t        confidence: Confidence,"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"c1399080-0ab1-4992-a977-4abf021e84ec","timestamp":"2026-05-14T05:06:08.284Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HQimbUY9nLMJpRDwkErcHb","type":"tool_result","content":"//! Transcript discovery and parsing for reflect strand.\n//!\n//! This module provides functionality to discover and parse Claude Code session\n//! transcripts from `.claude/projects/` directories. It extracts key events\n//! (assistant actions, tool calls, outcomes) from JSONL transcript files.\n//!\n//! ## Transcript Location\n//!\n//! Session transcripts are stored in:\n//! ```text\n//! ~/.claude/projects/<project-name>/<session-id>.jsonl\n//! ```\n//!\n//! Where `<project-name>` is the workspace path with slashes replaced by dashes\n//! (e.g., `/home/coding/NEEDLE` → `-home-coding-NEEDLE`).\n//!\n//! ## Discovery Strategy\n//!\n//! 1. Given a workspace path, derive the Claude project name\n//! 2. Scan `~/.claude/projects/<project-name>/` for JSONL files\n//! 3. Filter by recency (last N sessions or time-based cutoff)\n//! 4. Parse each JSONL file to extract structured events\n\nuse std::path::{Path, PathBuf};\n\nuse anyhow::{Context, Result};\nuse chrono::{DateTime, Utc};\nuse serde::{Deserialize, Serialize};\n\nuse crate::learning::DecisionContext;\nuse crate::types::BeadId;\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Transcript entry types (parsed from JSONL)\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// A single JSONL entry from a Claude Code transcript.\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\nenum TranscriptEntry {\n    /// User message (task description, context).\n    #[serde(rename = \"user\")]\n    User { message: UserMessage },\n    /// Assistant response (text, tool calls).\n    #[serde(rename = \"assistant\")]\n    Assistant { message: AssistantMessage },\n    /// Tool result (outcome of a tool_use).\n    #[serde(rename = \"tool_result\")]\n    ToolResult {\n        tool_use_id: String,\n        content: String,\n        is_error: Option<bool>,\n    },\n    /// Attachment (deferred tools, companion intro).\n    #[serde(rename = \"attachment\")]\n    Attachment { attachment: Attachment },\n    /// System event (init, status, hooks).\n    #[serde(rename = \"system\")]\n    System { subtype: String, session_id: String },\n    /// Stream event (content blocks, deltas).\n    #[serde(rename = \"stream_event\")]\n    StreamEvent {\n        event: StreamEvent,\n        session_id: String,\n    },\n    /// Queue operation (enqueue/dequeue).\n    #[serde(rename = \"queue-operation\")]\n    QueueOperation {\n        operation: String,\n        timestamp: String,\n    },\n}\n\n/// User message content.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct UserMessage {\n    content: UserContent,\n}\n\n/// User message content — either a plain task description string or an array of\n/// content blocks (tool results wrapped in user turns).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(untagged)]\nenum UserContent {\n    /// Plain text task description (first user turn).\n    Text(String),\n    /// Array of content blocks (subsequent user turns with tool results).\n    Blocks(Vec<UserContentItem>),\n}\n\n/// A single item in a user message content array.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct UserContentItem {\n    #[serde(rename = \"type\")]\n    block_type: String,\n    #[serde(default)]\n    tool_use_id: Option<String>,\n    #[serde(default)]\n    content: Option<String>,\n    #[serde(default)]\n    is_error: Option<bool>,\n}\n\n/// Assistant message content.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct AssistantMessage {\n    content: Vec<ContentBlock>,\n    stop_reason: Option<String>,\n}\n\n/// Content block (text, thinking, tool use).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\nenum ContentBlock {\n    #[serde(rename = \"text\")]\n    Text { text: String },\n    #[serde(rename = \"thinking\")]\n    Thinking { thinking: String },\n    #[serde(rename = \"tool_use\")]\n    ToolUse {\n        id: String,\n        name: String,\n        input: serde_json::Value,\n    },\n}\n\n/// Attachment metadata.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct Attachment {\n    #[serde(rename = \"type\")]\n    attachment_type: String,\n}\n\n/// Stream event (content block updates).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\n#[allow(clippy::enum_variant_names)]\nenum StreamEvent {\n    #[serde(rename = \"content_block_start\")]\n    ContentBlockStart {\n        index: usize,\n        content_block: ContentBlock,\n    },\n    #[serde(rename = \"content_block_delta\")]\n    ContentBlockDelta { index: usize, delta: ContentDelta },\n    #[serde(rename = \"content_block_stop\")]\n    ContentBlockStop { index: usize },\n}\n\n/// Content delta (incremental update).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\nenum ContentDelta {\n    #[serde(rename = \"text_delta\")]\n    TextDelta { text: String },\n    #[serde(rename = \"thinking_delta\")]\n    ThinkingDelta { thinking: String },\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Parsed transcript summary\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// A parsed and summarized transcript.\n#[derive(Debug, Clone)]\npub struct ParsedTranscript {\n    /// Session ID (filename without .jsonl).\n    pub session_id: String,\n    /// File modification time (when session was last updated).\n    pub modified_at: DateTime<Utc>,\n    /// User task description (from first user message).\n    pub task_description: Option<String>,\n    /// Assistant actions extracted from the transcript.\n    pub actions: Vec<TranscriptAction>,\n    /// Action-outcome pairs (tool_use → tool_result sequences).\n    pub action_outcomes: Vec<ActionOutcome>,\n    /// Bead ID if referenced in the task context.\n    pub bead_id: Option<BeadId>,\n    /// Workspace path this transcript belongs to (set during multi-workspace discovery).\n    pub workspace: Option<PathBuf>,\n}\n\n/// An action extracted from a transcript (tool call or text output).\n#[derive(Debug, Clone)]\npub struct TranscriptAction {\n    /// Action type (tool call or text).\n    pub action_type: ActionType,\n    /// Tool name (if tool use).\n    pub tool_name: Option<String>,\n    /// Action description (text output or tool input summary).\n    pub description: String,\n}\n\n/// An action-outcome pair extracted from a transcript.\n///\n/// Represents a tool_use action and its corresponding tool_result,\n/// capturing the full cause-effect relationship.\n#[derive(Debug, Clone)]\npub struct ActionOutcome {\n    /// Tool name (e.g., \"Read\", \"Bash\", \"Grep\").","is_error":false}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"a9356361-d7ce-4633-aa09-bffdd0484d53","timestamp":"2026-05-14T05:06:10.203Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dpfq3aBFAD4KKAVzWizTkv","type":"tool_result","content":"667\timpl ReflectConfig {\n668\t    fn default_enabled() -> bool {\n669\t        true\n670\t    }\n671\t    fn default_min_beads_since_last() -> usize {\n672\t        10\n673\t    }\n674\t    fn default_cooldown_hours() -> u64 {\n675\t        24\n676\t    }\n677\t    fn default_max_learnings_per_run() -> usize {\n678\t        10\n679\t    }\n680\t    fn default_max_skills_per_run() -> usize {\n681\t        3\n682\t    }\n683\t    fn default_learning_retention_days() -> u32 {\n684\t        90\n685\t    }\n686\t    fn default_max_learnings() -> usize {\n687\t        80\n688\t    }\n689\t    fn default_max_extraction_per_run() -> usize {\n690\t        5\n691\t    }\n692\t    fn default_transcript_recency_days() -> u32 {\n693\t        7\n694\t    }\n695\t    fn default_transcript_max_sessions() -> usize {\n696\t        50\n697\t    }\n698\t    fn default_drift_similarity_threshold() -> f64 {\n699\t        0.6\n700\t    }\n701\t    fn default_drift_enabled() -> bool {\n702\t        true\n703\t    }\n704\t    fn default_adr_enabled() -> bool {\n705\t        true\n706\t    }\n707\t    fn default_claude_md_placement() -> bool {\n708\t        true\n709\t    }\n710\t}\n711\t\n712\t/// Splice strand configuration (worker failure documentation).\n713\t///\n714\t/// Splice detects dead workers (stale heartbeat) and live-but-looping workers\n715\t/// (fresh heartbeat, stuck in a tight event loop). Both are documented as\n716\t/// failure beads in the configured report workspace."}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"35fe7106-0a89-4d0c-aa67-d488d809ffa1","timestamp":"2026-05-14T05:06:18.799Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015EHfKjYnaVNjiehxH9ARF6","type":"tool_result","content":"/// Outcome of a database recovery attempt.\n#[derive(Debug)]\npub enum RecoveryOutcome {\n    /// `br doctor --repair` fixed the issue.\n    Repaired(RepairReport),\n    /// Full rebuild (rm db + br sync --import) succeeded.\n    Rebuilt,\n    /// Recovery failed — JSONL itself may be corrupt or missing.\n    Failed(anyhow::Error),\n}\n\n/// Error returned when SYNC_CONFLICT recovery fails after retry.\n///\n/// This is a distinct error type so callers can detect when br sync\n/// recovery was attempted but the retry still failed. The caller may\n/// choose to emit a failure event and continue rather than blocking.\n#[derive(Debug, thiserror::Error)]\n#[error(\"SYNC_CONFLICT recovery failed: {reason}\")]\npub struct SyncRecoveryError {\n    pub reason: String,\n}\n\n// ─── Filters ─────────────────────────────────────────────────────────────────\n\n/// Filters applied when listing ready beads.\n#[derive(Debug, Default, Clone)]\npub struct Filters {\n    /// Only return beads assigned to this actor. `None` = no filter.\n    pub assignee: Option<String>,\n    /// Exclude beads that have any of these labels.\n    pub exclude_labels: Vec<String>,\n}\n\n// ─── RepairReport ─────────────────────────────────────────────────────────────\n\n/// Summary from `br doctor --repair`.\n#[derive(Debug, Default)]\npub struct RepairReport {\n    pub warnings: Vec<String>,\n    pub fixed: Vec<String>,\n}\n\n// ─── BeadStore trait ─────────────────────────────────────────────────────────\n\n/// Abstract interface to the bead backend.\n#[async_trait]\npub trait BeadStore: Send + Sync {\n    /// List all beads with no incomplete blockers (ready to work on).\n    ///\n    /// Returns an empty `Vec` when the queue is empty — that is not an error.","is_error":false}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"fd62bf79-9d63-40ac-97d3-46b50aed7b5b","timestamp":"2026-05-14T05:06:18.969Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TjG1zEUiWij6vY7e8688w2","type":"tool_result","content":"638\t    /// Read all closed beads from issues.jsonl.\n639\t    fn read_closed_beads(&self, issues_path: &Path) -> Result<Vec<ClosedBeadRecord>> {\n640\t        let content = std::fs::read_to_string(issues_path)\n641\t            .with_context(|| format!(\"failed to read {}\", issues_path.display()))?;\n642\t\n643\t        let mut beads = Vec::new();\n644\t        for (line_no, line) in content.lines().enumerate() {\n645\t            let line = line.trim();\n646\t            if line.is_empty() {\n647\t                continue;\n648\t            }\n649\t            match serde_json::from_str::<ClosedBeadRecord>(line) {\n650\t                Ok(record) if record.status == \"closed\" => beads.push(record),\n651\t                Ok(_) => {}\n652\t                Err(e) => {\n653\t                    tracing::warn!(line = line_no + 1, error = %e, \"reflect: failed to parse issues.jsonl line\");\n654\t                }\n655\t            }\n656\t        }\n657\t        Ok(beads)\n658\t    }\n659\t\n660\t    /// Infer bead type from labels in the closed bead record.\n661\t    fn infer_bead_type_from_id(&self, bead_id: &str, all_closed: &[ClosedBeadRecord]) -> BeadType {\n662\t        let record = all_closed.iter().find(|b| b.id == bead_id);\n663\t        if let Some(rec) = record {\n664\t            for label in &rec.labels {\n665\t                if let Some(bt) = BeadType::from_str(label) {\n666\t                    return bt;\n667\t                }\n668\t            }\n669\t        }\n670\t        BeadType::Other\n671\t    }\n672\t\n673\t    /// Infer worker from the assignee field of the closed bead record.\n674\t    fn infer_worker_from_id(&self, bead_id: &str, all_closed: &[ClosedBeadRecord]) -> String {\n675\t        all_closed\n676\t            .iter()\n677\t            .find(|b| b.id == bead_id)\n678\t            .and_then(|b| b.assignee.clone())\n679\t            .unwrap_or_else(|| \"unknown\".to_string())\n680\t    }\n681\t\n682\t    /// Promote learning entries with reinforcement_count >= 3 to skill files.\n683\t    ///\n684\t    /// Creates `.beads/skills/<slug>.md` for each promoted entry.\n685\t    /// Returns the number of skills created this run.\n686\t    fn promote_to_skills(&self, entries: &[LearningEntry]) -> Result<usize> {\n687\t        let skills_dir = self.workspace.join(\".beads\").join(\"skills\");"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"c1777a52-92d4-4392-aa8b-268ea6f3b132","timestamp":"2026-05-14T05:06:21.448Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S1CQVtpn9XGnfhUPzJ37bd","type":"tool_result","content":"184-impl ReflectState {\n185-    fn load(state_dir: &Path) -> Result<Option<Self>> {\n186-        let path = state_dir.join(\"reflect_state.json\");\n187-        if !path.exists() {\n188-            return Ok(None);\n189-        }\n190-        let content = std::fs::read_to_string(&path)\n191-            .with_context(|| format!(\"failed to read reflect state: {}\", path.display()))?;\n192-        let state: ReflectState =\n193-            serde_json::from_str(&content).with_context(|| \"failed to parse reflect state\")?;\n194-        Ok(Some(state))\n195-    }\n196-\n197-    fn save(&self, state_dir: &Path) -> Result<()> {\n198-        std::fs::create_dir_all(state_dir)\n199-            .with_context(|| format!(\"failed to create state dir: {}\", state_dir.display()))?;\n200-        let path = state_dir.join(\"reflect_state.json\");\n201-        let content = serde_json::to_string_pretty(self)?;\n202-        std::fs::write(&path, content)\n203-            .with_context(|| format!(\"failed to write reflect state: {}\", path.display()))?;\n204-        Ok(())\n205-    }\n206-}\n207-\n208-// ──────────────────────────────────────────────────────────────────────────────\n209-// Bead record (minimal, parsed from issues.jsonl)\n210-// ──────────────────────────────────────────────────────────────────────────────\n211-\n212-/// Minimal closed-bead record read from issues.jsonl.\n213-#[derive(Debug, Deserialize)]\n214:struct ClosedBeadRecord {\n215-    id: String,\n216-    title: Option<String>,\n217-    status: String,\n218-    close_reason: Option<String>,\n219-    closed_at: Option<DateTime<Utc>>,\n220-    assignee: Option<String>,\n221-    #[serde(default)]\n222-    labels: Vec<String>,\n223-}\n224-\n225-// ──────────────────────────────────────────────────────────────────────────────\n226-// Summary\n227-// ──────────────────────────────────────────────────────────────────────────────\n228-\n229-/// Work performed during one Reflect cycle.\n230-#[derive(Debug, Default)]\n231-pub struct ReflectSummary {\n232-    pub beads_processed: usize,\n233-    pub learnings_added: usize,\n234-    pub learnings_pruned: usize,\n235-    pub skills_promoted: usize,\n236-    /// Number of learnings promoted to the global learnings file.\n237-    pub global_learnings_promoted: usize,\n238-    /// Number of retrospectives extracted by the agent.\n239-    pub agent_extractions: usize,\n240-    /// Number of transcripts processed.\n241-    pub transcripts_processed: usize,\n242-    /// Number of learnings extracted from transcripts.\n243-    pub transcript_learnings_added: usize,\n244-    /// Number of learnings placed in CLAUDE.md files."}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"7cad7e97-3399-4a4a-b4ee-1d3bb89c4ca6","timestamp":"2026-05-14T05:06:21.973Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AoqJC7Wf7wJrDApsvcVgcn","type":"tool_result","content":"// Learning Entry Types\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Confidence level for a learning entry.\n#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]\n#[serde(rename_all = \"lowercase\")]\npub enum Confidence {\n    High,\n    Medium,\n    Low,\n}\n\nimpl Confidence {\n    /// Parse from string (case-insensitive).\n    #[allow(clippy::should_implement_trait)]\n    pub fn from_str(s: &str) -> Option<Self> {\n        match s.to_lowercase().as_str() {\n            \"high\" => Some(Confidence::High),\n            \"medium\" => Some(Confidence::Medium),\n            \"low\" => Some(Confidence::Low),\n            _ => None,\n        }\n    }\n\n    /// Convert to display string.\n    pub fn as_str(&self) -> &'static str {\n        match self {\n            Confidence::High => \"high\",\n            Confidence::Medium => \"medium\",\n            Confidence::Low => \"low\",","is_error":false}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"2f467c4d-8dcf-4af5-bdf4-4d6e14f28bd3","timestamp":"2026-05-14T05:06:23.589Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0157W7KMetrKwaub5e5dMR3L","type":"tool_result","content":"1\t![NEEDLE](docs/hero.png)\n2\t\n3\t# 🧵 NEEDLE\n4\t\n5\t[![CI](https://github.com/jedarden/NEEDLE/actions/workflows/ci.yml/badge.svg)](https://github.com/jedarden/NEEDLE/actions/workflows/ci.yml)\n6\t[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)\n7\t[![Rust](https://img.shields.io/badge/rust-1.75+-orange.svg)](rust-toolchain.toml)\n8\t[![Version](https://img.shields.io/badge/version-0.2.0-green.svg)](Cargo.toml)\n9\t\n10\t**N**avigates **E**very **E**nqueued **D**eliverable, **L**ogs **E**ffort\n11\t\n12\t> Deterministic bead processing with explicit outcome paths.\n13\t\n14\tNEEDLE is a universal wrapper for headless coding CLI agents. It processes a shared bead queue in deterministic order, dispatching work to any headless CLI (Claude Code, OpenCode, Codex, Aider) and handling every outcome through an explicit, predefined path.\n15\t\n16\t---\n17\t\n18\t## 🚀 Quickstart\n19\t\n20\t```bash\n21\t# Install the latest release\n22\tcurl -fsSL https://github.com/jedarden/NEEDLE/releases/latest/download/install.sh | bash\n23\t\n24\t# Or build from source\n25\tcargo install --git https://github.com/jedarden/NEEDLE\n26\t\n27\t# Run a worker against a bead-tracked workspace\n28\tcd /path/to/your/workspace\n29\tneedle run --agent claude --identity alpha\n30\t```\n31\t\n32\tA worker starts, claims the next bead, dispatches to your chosen agent CLI, and loops. Multiple workers can run in parallel against the same workspace — coordination is handled by the shared bead queue (no central orchestrator).\n33\t\n34\tSee [`docs/examples/`](docs/examples/) for end-to-end configurations.\n35\t\n36\t---\n37\t\n38\t## 🤔 Why NEEDLE\n39\t\n40\tExisting agent orchestration tools are built for one of two shapes:\n41\t\n42\t- **Conversational frameworks** (LangGraph, AutoGen, CrewAI) assume a chat loop with a human-in-the-loop or another LLM. They are bad at headless, long-running, cost-bounded work.\n43\t- **Workflow engines** (Temporal, Argo Workflows, Inngest) assume each step is deterministic code. They are bad at non-deterministic agent steps whose outcomes have to be classified and routed.\n44\t\n45\tNEEDLE is the missing middle: a **deterministic state machine that drives non-deterministic agents.** Every outcome an agent can produce has an explicit handler. The agent's work is fuzzy; the orchestration around it is not.\n46\t\n47\t---\n48\t\n49\t## 🧠 Core Principle\n50\t"}]},"parent_tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"d1901b7b-b794-4cbe-8095-9920ba868fd4","timestamp":"2026-05-14T05:06:25.283Z"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M3Vs56TzT8TZ97Q5D4erW","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a comprehensive understanding. Let me compile the full report:\n\n## NEEDLE Codebase Exploration Report\n\n### 1. Overall Directory Structure\n\n**NEEDLE** is a Rust project (using Cargo) that implements a deterministic state machine for dispatching work to headless coding CLI agents. The main source code is organized in `/home/coding/NEEDLE/src/` with 32 modules:\n\n```\nsrc/\n├── agent_event.rs          # Agent event tracking\n├── bead_store/             # Bead database abstraction (backend interface)\n├── bin/                    # Binary executables\n├── canary/                 # Health monitoring\n├── claim/                  # Bead claiming mechanism\n├── cli/                    # CLI interface\n├── claude_md_placement.rs  # CLAUDE.md file placement logic\n├── commit_hook.rs          # Git hook integration\n├── config/                 # Configuration management\n├── cost/                   # Cost tracking\n├── decision/               # Decision point detection (ADR-lite)\n├── dispatch/               # Work dispatch logic\n├── drift/                  # Drift detection across sessions\n├── health/                 # Health checks\n├── learning/               # Learning & retrospective extraction\n├── mitosis/                # Worker spawning\n├── outcome/                # Outcome classification\n├── peer/                   # Peer communication\n├── prompt/                 # Prompt templates\n├── rate_limit/             # Rate limiting\n├── registry/               # Bead registry\n├── sanitize/               # Input sanitization\n├── skill/                  # Skill file management\n├── span/                   # Tracing spans\n├── stats/                  # Statistics tracking\n├── strand/                 # Strand waterfall (selection strategies)\n├── telemetry/              # Telemetry/event emission\n├── trace/                  # Trace/debug logging\n├── transcript/             # Session transcript parsing\n├── types/                  # Core types & enums\n├── upgrade/                # Version upgrades\n├── validation/             # Input validation\n└── worker/                 # Worker loop & coordination\n```\n\n### 2. The Reflect Module in Detail\n\n**Location:** `/home/coding/NEEDLE/src/strand/reflect.rs` (2066 lines)\n\nThe Reflect strand is **Strand 7 in the waterfall** — the last productive strategy before giving up. It runs **after all other strands return NoWork** and performs meta-analysis and learning consolidation.\n\n#### Purpose\n- Reads closed beads from `.beads/issues.jsonl` (JSONL format)\n- Extracts retrospective patterns from bead close bodies\n- Consolidates learnings into `.beads/learnings.md`\n- Promotes high-reinforcement patterns to skill files\n- Detects drift across sessions\n- Extracts ADR (Architecture Decision Record) decisions\n- Places learnings in CLAUDE.md files at appropriate ancestor directories\n\n#### Four-Phase KAIROS Cycle\n\n**Phase 1: Orient** — Read current learnings.md and existing skills, check sizes.\n\n**Phase 2: Gather** — Read bead close bodies from `issues.jsonl` since last consolidation; read traces for failed beads.\n\n**Phase 3: Consolidate** — Extract retrospective blocks, identify cross-bead patterns, merge into learnings.md, deduplicate, resolve contradictions. Promote learnings with `reinforcement_count ≥ 3` to skill files.\n\n**Phase 4: Prune** — Remove entries older than `learning_retention_days` days without reinforcement, compress similar entries, enforce `max_learnings`.\n\n#### Key Structures\n\n**`ReflectStrand` struct:**\n- `config: ReflectConfig` — Configuration\n- `workspace: PathBuf` — Workspace root\n- `state_dir: PathBuf` — State persistence directory\n- `telemetry: Telemetry` — Event emission\n- `known_workspaces: Vec<PathBuf>` — Multi-workspace support\n- `global_learnings_path: PathBuf` — Global learnings file path\n- `agent: Option<Box<dyn ReflectAgent>>` — Optional agent for retrospective extraction\n\n**`ReflectAgent` trait:**\nAsync trait for extracting retrospectives from unstructured bead close bodies. Two implementations:\n- `CliReflectAgent` — Shells out to a CLI agent (e.g., `claude`)\n- Mock implementations for testing\n\n**`ReflectSummary` struct:**\nWork performed during one Reflect cycle, with counts for:\n- `beads_processed`, `learnings_added`, `learnings_pruned`, `skills_promoted`\n- `agent_extractions`, `transcripts_processed`, `transcript_learnings_added`\n- `claude_md_placed`, `drift_clusters_found`, `drift_learnings_added`, `adr_decisions_detected`\n\n**`ReflectState` (internal):**\nPersisted state for the Reflect strand:\n- `last_consolidation: DateTime<Utc>` — Timestamp of last successful consolidation\n- `beads_at_last_consolidation: u64` — Total closed beads at that time\n- Stored in `state_dir/reflect_state.json`\n\n**`ClosedBeadRecord` (internal, JSONL parse structure):**\n```rust\nstruct ClosedBeadRecord {\n    id: String,\n    title: Option<String>,\n    status: String,\n    close_reason: Option<String>,\n    closed_at: Option<DateTime<Utc>>,\n    assignee: Option<String>,\n    labels: Vec<String>,  // For inferring bead type\n}\n```\n\n### 3. How Existing Modules Are Structured\n\n**Pattern:** Each module (e.g., `bead_store`, `config`, `types`, `learning`) follows a consistent pattern:\n\n- **Single file per module** (`mod.rs` in directory) or **leaf module** (single `.rs` file)\n- **Type definitions first**, then **trait definitions** (if any), then **implementations**\n- **Dependency arrows are clean**: Modules import from dependent modules, never circular\n- **Serde integration** for serialization (JSON, TOML, JSONL)\n- **Comprehensive error handling** using `anyhow` crate\n\n**Example: `learning` module structure:**\n```\nsrc/learning/mod.rs (42,594 bytes)\n- Confidence enum\n- BeadType enum\n- LearningEntry struct\n- DecisionContext struct\n- LearningsFile (workspace learnings)\n- GlobalLearningsFile (cross-workspace learnings)\n- Retrospective struct (parsed from close bodies)\n```\n\n### 4. Config Module — ReflectConfig\n\n**Location:** `/home/coding/NEEDLE/src/config/mod.rs` (lines 574-710)\n\n```rust\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct ReflectConfig {\n    pub enabled: bool,                              // (default: true)\n    pub min_beads_since_last: usize,               // (default: 10)\n    pub cooldown_hours: u64,                        // (default: 24)\n    pub max_learnings_per_run: usize,              // (default: 10)\n    pub max_skills_per_run: usize,                 // (default: 3)\n    pub learning_retention_days: u32,              // (default: 90)\n    pub max_learnings: usize,                      // (default: 80)\n    pub extraction_agent: Option<String>,          // Agent cmd for retrospective extraction\n    pub extraction_prompt_template: Option<String>, // Custom prompt template\n    pub max_extraction_per_run: usize,             // (default: 5)\n    pub transcript_recency_days: u32,              // (default: 7)\n    pub transcript_max_sessions: usize,            // (default: 50)\n    pub drift_similarity_threshold: f64,           // (default: 0.6)\n    pub drift_enabled: bool,                       // (default: true)\n    pub adr_enabled: bool,                         // (default: true)\n    pub claude_md_placement: bool,                 // (default: true)\n}\n```\n\n**Entry conditions (checked before running):**\n- `strands.reflect.enabled` is true\n- 10+ beads closed since last consolidation (configurable via `min_beads_since_last`)\n- 24+ hours since last consolidation (configurable via `cooldown_hours`)\n- Can be bypassed with `force` flag (used by CLI command)\n\n**Guardrails:**\n- Max `max_learnings_per_run` new learnings added per run (default 10)\n- Max `max_skills_per_run` skill files created/updated per run (default 3)\n- CLAUDE.md is read-only — never written by Reflect\n\n### 5. JSONL Parsing Code\n\n**Location:** `/home/coding/NEEDLE/src/strand/reflect.rs`, lines 638-658\n\n```rust\n/// Read all closed beads from issues.jsonl.\nfn read_closed_beads(&self, issues_path: &Path) -> Result<Vec<ClosedBeadRecord>> {\n    let content = std::fs::read_to_string(issues_path)?;\n    let mut beads = Vec::new();\n    \n    for (line_no, line) in content.lines().enumerate() {\n        let line = line.trim();\n        if line.is_empty() {\n            continue;\n        }\n        // Parse each line as a separate JSON object\n        match serde_json::from_str::<ClosedBeadRecord>(line) {\n            Ok(record) if record.status == \"closed\" => beads.push(record),\n            Ok(_) => {},  // Open beads are skipped\n            Err(e) => {\n                tracing::warn!(line = line_no + 1, error = %e, \n                    \"reflect: failed to parse issues.jsonl line\");\n            }\n        }\n    }\n    Ok(beads)\n}\n```\n\n**Key characteristics:**\n- **Line-by-line parsing** (standard JSONL format)\n- **Loose error handling** — warns on parse errors but continues\n- **Filters by status** — only \"closed\" beads are retained\n- **Uses `serde_json::from_str`** for JSON deserialization per line\n- **Path:** `.beads/issues.jsonl` relative to workspace\n\n**Transcript JSONL parsing:**\nAlso found in `/home/coding/NEEDLE/src/transcript/mod.rs` for parsing session transcripts from `~/.claude/projects/<project-name>/*.jsonl` files.\n\n### 6. Types Module — Key Definitions\n\n**Location:** `/home/coding/NEEDLE/src/types/mod.rs` (48,329 bytes)\n\nKey types defined:\n\n**`BeadId` newtype:**\n- Validated bead identifier (e.g., `needle-gob`)\n- Wraps `String` with `Display`, `FromStr`, `Hash`, `Eq` impls\n- Serializable via Serde\n\n**`BeadStatus` enum:**\n- `Open`, `InProgress`, `Done`, `Closed` (alias for Done)\n\n**`Priority` type alias:**\n- `pub type Priority = u8` (lower number = higher priority)\n\n**`WorkerId` type alias:**\n- `pub type WorkerId = String`\n\n**`Bead` struct:**\nFull bead record with all metadata (id, title, body, priority, status, assignee, labels, workspace, dependencies, timestamps)\n\n**`StrandResult` enum:**\n- `NoWork` — strand found nothing\n- `BeadFound(Vec<Bead>)` — strand found candidates\n- `WorkCreated` — strand created new work (triggers waterfall restart)\n- `Error(StrandError)` — strand encountered error\n\n**`StrandError` enum:**\n- ConfigError, ValidationError, StateError, etc.\n\n### 7. Module Dependencies & Organization\n\n**Dependency flow (DAG structure):**\n```\ntypes (leaf — depends on nothing)\n  ↑\n  ├── config\n  ├── bead_store\n  ├── learning\n  ├── telemetry\n  └── ... all other modules\n\nlearning\n  ↑\n  └── strand/reflect\n  └── config\n  └── transcript\n\ntranscript\n  ↑\n  └── decision\n  └── drift\n  └── learning\n```\n\n**Important design pattern:**\n- `types` is a leaf module — zero internal dependencies\n- Every type definition avoids wildcard matches (design invariant enforced)\n- Serde serialization/deserialization is pervasive\n- Error handling uses `anyhow::Context` for error propagation\n\n### 8. Transcript & Action Tracking\n\n**Location:** `/home/coding/NEEDLE/src/transcript/mod.rs`\n\nThe transcript module provides:\n- **JSONL parsing** of Claude Code session transcripts\n- **Action extraction** from transcripts (tool calls, text responses, thinking blocks)\n- **Action-outcome pairs** (tool_use → tool_result sequences)\n- **Decision point detection** (KAIROS-inspired analysis)\n\n**Transcripts are discovered from:**\n```\n~/.claude/projects/<project-name>/<session-id>.jsonl\n```\n\nWhere `<project-name>` is the workspace path with slashes replaced by dashes.\n\n**Key structures:**\n- `ParsedTranscript` — summarized session with actions and outcomes\n- `TranscriptAction` — tool call or text output\n- `ActionOutcome` — cause-effect relationship (tool_use → result)\n- `ActionType` enum — ToolUse, Text, Thinking\n\n### 9. Supporting Modules\n\n**`skill`** — Skill file management and rendering\n- `SkillLibrary` — loads from `.beads/skills/`\n- `SkillFrontmatter` — YAML frontmatter with metadata\n\n**`decision`** — Decision point detection\n- `DecisionDetector` — analyzes transcripts for decisions\n- ADR-lite (lightweight Architecture Decision Records)\n\n**`drift`** — Drift detection across sessions\n- `DriftDetector` — Jaccard similarity clustering\n- `DriftCategory` — Evolved, Inconsistent, Unknown\n\n**`bead_store`** — Abstract interface to bead backend (BeadStore trait)\n- Implementations for local and remote workspaces\n- JSONL-based persistence\n\n**`telemetry`** — Event emission and telemetry\n- `Telemetry` struct with event emission\n- `EventKind` enum for all possible events\n- File sink support with retention policies\n\n---\n\n### Summary\n\n**NEEDLE** is a sophisticated Rust-based orchestration system for headless coding agents. The **Reflect strand** is the meta-analysis engine that consolidates learnings from completed work, extracts patterns, and promotes them to reusable skill files. It reads JSONL-formatted bead records, parses explicit and agent-inferred retrospectives, analyzes session transcripts, detects behavioral drift, and manages knowledge across single and multi-workspace environments.\n\nKey implementation highlights:\n- Clean module architecture with no circular dependencies\n- Comprehensive Serde-based serialization (JSON, JSONL, TOML)\n- Line-by-line JSONL parsing with graceful error handling\n- State persistence using JSON (reflect_state.json)\n- Multi-workspace support with cross-workspace pattern detection\n- KAIROS-inspired four-phase consolidation cycle\n- Extensive telemetry and event tracking\n- Async/await throughout (tokio runtime)"}]}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"94b33ea0-c932-4c05-9747-f2eeb72b11d8","timestamp":"2026-05-14T05:07:00.716Z","tool_use_result":{"status":"completed","prompt":"Explore the NEEDLE codebase at /home/coding/NEEDLE. I need to understand:\n1. The overall directory structure (src/ layout, what modules exist)\n2. The reflect module specifically - what it does, how it works\n3. How existing modules are structured (e.g., how bead_store, config, types are organized)\n4. The config module - specifically any ReflectConfig\n5. Any existing JSONL parsing code\n6. The types module - what types are defined\n\nSearch breadth: very thorough. Report file paths and key code structures.","agentId":"afd677c1c3204fc02","agentType":"Explore","content":[{"type":"text","text":"Perfect! Now I have a comprehensive understanding. Let me compile the full report:\n\n## NEEDLE Codebase Exploration Report\n\n### 1. Overall Directory Structure\n\n**NEEDLE** is a Rust project (using Cargo) that implements a deterministic state machine for dispatching work to headless coding CLI agents. The main source code is organized in `/home/coding/NEEDLE/src/` with 32 modules:\n\n```\nsrc/\n├── agent_event.rs          # Agent event tracking\n├── bead_store/             # Bead database abstraction (backend interface)\n├── bin/                    # Binary executables\n├── canary/                 # Health monitoring\n├── claim/                  # Bead claiming mechanism\n├── cli/                    # CLI interface\n├── claude_md_placement.rs  # CLAUDE.md file placement logic\n├── commit_hook.rs          # Git hook integration\n├── config/                 # Configuration management\n├── cost/                   # Cost tracking\n├── decision/               # Decision point detection (ADR-lite)\n├── dispatch/               # Work dispatch logic\n├── drift/                  # Drift detection across sessions\n├── health/                 # Health checks\n├── learning/               # Learning & retrospective extraction\n├── mitosis/                # Worker spawning\n├── outcome/                # Outcome classification\n├── peer/                   # Peer communication\n├── prompt/                 # Prompt templates\n├── rate_limit/             # Rate limiting\n├── registry/               # Bead registry\n├── sanitize/               # Input sanitization\n├── skill/                  # Skill file management\n├── span/                   # Tracing spans\n├── stats/                  # Statistics tracking\n├── strand/                 # Strand waterfall (selection strategies)\n├── telemetry/              # Telemetry/event emission\n├── trace/                  # Trace/debug logging\n├── transcript/             # Session transcript parsing\n├── types/                  # Core types & enums\n├── upgrade/                # Version upgrades\n├── validation/             # Input validation\n└── worker/                 # Worker loop & coordination\n```\n\n### 2. The Reflect Module in Detail\n\n**Location:** `/home/coding/NEEDLE/src/strand/reflect.rs` (2066 lines)\n\nThe Reflect strand is **Strand 7 in the waterfall** — the last productive strategy before giving up. It runs **after all other strands return NoWork** and performs meta-analysis and learning consolidation.\n\n#### Purpose\n- Reads closed beads from `.beads/issues.jsonl` (JSONL format)\n- Extracts retrospective patterns from bead close bodies\n- Consolidates learnings into `.beads/learnings.md`\n- Promotes high-reinforcement patterns to skill files\n- Detects drift across sessions\n- Extracts ADR (Architecture Decision Record) decisions\n- Places learnings in CLAUDE.md files at appropriate ancestor directories\n\n#### Four-Phase KAIROS Cycle\n\n**Phase 1: Orient** — Read current learnings.md and existing skills, check sizes.\n\n**Phase 2: Gather** — Read bead close bodies from `issues.jsonl` since last consolidation; read traces for failed beads.\n\n**Phase 3: Consolidate** — Extract retrospective blocks, identify cross-bead patterns, merge into learnings.md, deduplicate, resolve contradictions. Promote learnings with `reinforcement_count ≥ 3` to skill files.\n\n**Phase 4: Prune** — Remove entries older than `learning_retention_days` days without reinforcement, compress similar entries, enforce `max_learnings`.\n\n#### Key Structures\n\n**`ReflectStrand` struct:**\n- `config: ReflectConfig` — Configuration\n- `workspace: PathBuf` — Workspace root\n- `state_dir: PathBuf` — State persistence directory\n- `telemetry: Telemetry` — Event emission\n- `known_workspaces: Vec<PathBuf>` — Multi-workspace support\n- `global_learnings_path: PathBuf` — Global learnings file path\n- `agent: Option<Box<dyn ReflectAgent>>` — Optional agent for retrospective extraction\n\n**`ReflectAgent` trait:**\nAsync trait for extracting retrospectives from unstructured bead close bodies. Two implementations:\n- `CliReflectAgent` — Shells out to a CLI agent (e.g., `claude`)\n- Mock implementations for testing\n\n**`ReflectSummary` struct:**\nWork performed during one Reflect cycle, with counts for:\n- `beads_processed`, `learnings_added`, `learnings_pruned`, `skills_promoted`\n- `agent_extractions`, `transcripts_processed`, `transcript_learnings_added`\n- `claude_md_placed`, `drift_clusters_found`, `drift_learnings_added`, `adr_decisions_detected`\n\n**`ReflectState` (internal):**\nPersisted state for the Reflect strand:\n- `last_consolidation: DateTime<Utc>` — Timestamp of last successful consolidation\n- `beads_at_last_consolidation: u64` — Total closed beads at that time\n- Stored in `state_dir/reflect_state.json`\n\n**`ClosedBeadRecord` (internal, JSONL parse structure):**\n```rust\nstruct ClosedBeadRecord {\n    id: String,\n    title: Option<String>,\n    status: String,\n    close_reason: Option<String>,\n    closed_at: Option<DateTime<Utc>>,\n    assignee: Option<String>,\n    labels: Vec<String>,  // For inferring bead type\n}\n```\n\n### 3. How Existing Modules Are Structured\n\n**Pattern:** Each module (e.g., `bead_store`, `config`, `types`, `learning`) follows a consistent pattern:\n\n- **Single file per module** (`mod.rs` in directory) or **leaf module** (single `.rs` file)\n- **Type definitions first**, then **trait definitions** (if any), then **implementations**\n- **Dependency arrows are clean**: Modules import from dependent modules, never circular\n- **Serde integration** for serialization (JSON, TOML, JSONL)\n- **Comprehensive error handling** using `anyhow` crate\n\n**Example: `learning` module structure:**\n```\nsrc/learning/mod.rs (42,594 bytes)\n- Confidence enum\n- BeadType enum\n- LearningEntry struct\n- DecisionContext struct\n- LearningsFile (workspace learnings)\n- GlobalLearningsFile (cross-workspace learnings)\n- Retrospective struct (parsed from close bodies)\n```\n\n### 4. Config Module — ReflectConfig\n\n**Location:** `/home/coding/NEEDLE/src/config/mod.rs` (lines 574-710)\n\n```rust\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct ReflectConfig {\n    pub enabled: bool,                              // (default: true)\n    pub min_beads_since_last: usize,               // (default: 10)\n    pub cooldown_hours: u64,                        // (default: 24)\n    pub max_learnings_per_run: usize,              // (default: 10)\n    pub max_skills_per_run: usize,                 // (default: 3)\n    pub learning_retention_days: u32,              // (default: 90)\n    pub max_learnings: usize,                      // (default: 80)\n    pub extraction_agent: Option<String>,          // Agent cmd for retrospective extraction\n    pub extraction_prompt_template: Option<String>, // Custom prompt template\n    pub max_extraction_per_run: usize,             // (default: 5)\n    pub transcript_recency_days: u32,              // (default: 7)\n    pub transcript_max_sessions: usize,            // (default: 50)\n    pub drift_similarity_threshold: f64,           // (default: 0.6)\n    pub drift_enabled: bool,                       // (default: true)\n    pub adr_enabled: bool,                         // (default: true)\n    pub claude_md_placement: bool,                 // (default: true)\n}\n```\n\n**Entry conditions (checked before running):**\n- `strands.reflect.enabled` is true\n- 10+ beads closed since last consolidation (configurable via `min_beads_since_last`)\n- 24+ hours since last consolidation (configurable via `cooldown_hours`)\n- Can be bypassed with `force` flag (used by CLI command)\n\n**Guardrails:**\n- Max `max_learnings_per_run` new learnings added per run (default 10)\n- Max `max_skills_per_run` skill files created/updated per run (default 3)\n- CLAUDE.md is read-only — never written by Reflect\n\n### 5. JSONL Parsing Code\n\n**Location:** `/home/coding/NEEDLE/src/strand/reflect.rs`, lines 638-658\n\n```rust\n/// Read all closed beads from issues.jsonl.\nfn read_closed_beads(&self, issues_path: &Path) -> Result<Vec<ClosedBeadRecord>> {\n    let content = std::fs::read_to_string(issues_path)?;\n    let mut beads = Vec::new();\n    \n    for (line_no, line) in content.lines().enumerate() {\n        let line = line.trim();\n        if line.is_empty() {\n            continue;\n        }\n        // Parse each line as a separate JSON object\n        match serde_json::from_str::<ClosedBeadRecord>(line) {\n            Ok(record) if record.status == \"closed\" => beads.push(record),\n            Ok(_) => {},  // Open beads are skipped\n            Err(e) => {\n                tracing::warn!(line = line_no + 1, error = %e, \n                    \"reflect: failed to parse issues.jsonl line\");\n            }\n        }\n    }\n    Ok(beads)\n}\n```\n\n**Key characteristics:**\n- **Line-by-line parsing** (standard JSONL format)\n- **Loose error handling** — warns on parse errors but continues\n- **Filters by status** — only \"closed\" beads are retained\n- **Uses `serde_json::from_str`** for JSON deserialization per line\n- **Path:** `.beads/issues.jsonl` relative to workspace\n\n**Transcript JSONL parsing:**\nAlso found in `/home/coding/NEEDLE/src/transcript/mod.rs` for parsing session transcripts from `~/.claude/projects/<project-name>/*.jsonl` files.\n\n### 6. Types Module — Key Definitions\n\n**Location:** `/home/coding/NEEDLE/src/types/mod.rs` (48,329 bytes)\n\nKey types defined:\n\n**`BeadId` newtype:**\n- Validated bead identifier (e.g., `needle-gob`)\n- Wraps `String` with `Display`, `FromStr`, `Hash`, `Eq` impls\n- Serializable via Serde\n\n**`BeadStatus` enum:**\n- `Open`, `InProgress`, `Done`, `Closed` (alias for Done)\n\n**`Priority` type alias:**\n- `pub type Priority = u8` (lower number = higher priority)\n\n**`WorkerId` type alias:**\n- `pub type WorkerId = String`\n\n**`Bead` struct:**\nFull bead record with all metadata (id, title, body, priority, status, assignee, labels, workspace, dependencies, timestamps)\n\n**`StrandResult` enum:**\n- `NoWork` — strand found nothing\n- `BeadFound(Vec<Bead>)` — strand found candidates\n- `WorkCreated` — strand created new work (triggers waterfall restart)\n- `Error(StrandError)` — strand encountered error\n\n**`StrandError` enum:**\n- ConfigError, ValidationError, StateError, etc.\n\n### 7. Module Dependencies & Organization\n\n**Dependency flow (DAG structure):**\n```\ntypes (leaf — depends on nothing)\n  ↑\n  ├── config\n  ├── bead_store\n  ├── learning\n  ├── telemetry\n  └── ... all other modules\n\nlearning\n  ↑\n  └── strand/reflect\n  └── config\n  └── transcript\n\ntranscript\n  ↑\n  └── decision\n  └── drift\n  └── learning\n```\n\n**Important design pattern:**\n- `types` is a leaf module — zero internal dependencies\n- Every type definition avoids wildcard matches (design invariant enforced)\n- Serde serialization/deserialization is pervasive\n- Error handling uses `anyhow::Context` for error propagation\n\n### 8. Transcript & Action Tracking\n\n**Location:** `/home/coding/NEEDLE/src/transcript/mod.rs`\n\nThe transcript module provides:\n- **JSONL parsing** of Claude Code session transcripts\n- **Action extraction** from transcripts (tool calls, text responses, thinking blocks)\n- **Action-outcome pairs** (tool_use → tool_result sequences)\n- **Decision point detection** (KAIROS-inspired analysis)\n\n**Transcripts are discovered from:**\n```\n~/.claude/projects/<project-name>/<session-id>.jsonl\n```\n\nWhere `<project-name>` is the workspace path with slashes replaced by dashes.\n\n**Key structures:**\n- `ParsedTranscript` — summarized session with actions and outcomes\n- `TranscriptAction` — tool call or text output\n- `ActionOutcome` — cause-effect relationship (tool_use → result)\n- `ActionType` enum — ToolUse, Text, Thinking\n\n### 9. Supporting Modules\n\n**`skill`** — Skill file management and rendering\n- `SkillLibrary` — loads from `.beads/skills/`\n- `SkillFrontmatter` — YAML frontmatter with metadata\n\n**`decision`** — Decision point detection\n- `DecisionDetector` — analyzes transcripts for decisions\n- ADR-lite (lightweight Architecture Decision Records)\n\n**`drift`** — Drift detection across sessions\n- `DriftDetector` — Jaccard similarity clustering\n- `DriftCategory` — Evolved, Inconsistent, Unknown\n\n**`bead_store`** — Abstract interface to bead backend (BeadStore trait)\n- Implementations for local and remote workspaces\n- JSONL-based persistence\n\n**`telemetry`** — Event emission and telemetry\n- `Telemetry` struct with event emission\n- `EventKind` enum for all possible events\n- File sink support with retention policies\n\n---\n\n### Summary\n\n**NEEDLE** is a sophisticated Rust-based orchestration system for headless coding agents. 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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Ux7oN2Crm679R7rpXjzkug","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me look at the existing transcript module and reflect module in detail to understand what's already implemented vs. what's needed."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4021,"cache_read_input_tokens":27161,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4021},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"7b51dd6f-651f-487d-a799-106eb040967b"}
{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"1c2a7ad7-6eeb-435a-a0cb-dfed9d8d26d2"}
{"type":"stream_event","event":{"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"toolu_01Buai8oacvSeWJKKBMmTV9U","name":"Read","input":{},"caller":{"type":"direct"}}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"b6779e18-3af1-4169-8ebb-f8935545e0fa"}
{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":""}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"778714e0-ea37-469a-a6d9-1292c8b248ec"}
{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"{\"file_path\": \"/home/coding/NEEDLE/src/transcript"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"cad3c4a3-4508-45b8-b7c1-43a58a66d414"}
{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"/mod.rs"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"4d850c96-f935-4f8a-9a4e-241e28f62114"}
{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"\"}"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"d06e379a-997d-4898-99d3-b611f56cac7a"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Ux7oN2Crm679R7rpXjzkug","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Buai8oacvSeWJKKBMmTV9U","name":"Read","input":{"file_path":"/home/coding/NEEDLE/src/transcript/mod.rs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4021,"cache_read_input_tokens":27161,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4021},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"20a1f87d-37e2-4751-a11a-fab8bcdea42f"}
{"type":"stream_event","event":{"type":"content_block_stop","index":2},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"2749469a-07dd-498b-b30d-a10f953e1252"}
{"type":"stream_event","event":{"type":"content_block_start","index":3,"content_block":{"type":"tool_use","id":"toolu_01DFJajhCsdqhoZFYkffvWFi","name":"Read","input":{},"caller":{"type":"direct"}}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"549abf53-5250-4d07-bb24-39317971a54d"}
{"type":"stream_event","event":{"type":"content_block_delta","index":3,"delta":{"type":"input_json_delta","partial_json":""}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"f8a780d1-7386-4fe4-83b4-6295a8d10cf7"}
{"type":"stream_event","event":{"type":"content_block_delta","index":3,"delta":{"type":"input_json_delta","partial_json":"{\"file_path\": \"/home/coding/NEEDLE/src/strand"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"3b05e167-d1c7-4348-ad41-2c6b9d57f59c"}
{"type":"stream_event","event":{"type":"content_block_delta","index":3,"delta":{"type":"input_json_delta","partial_json":"/reflect.rs"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"4363739e-43d8-4525-8770-0000103987ab"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Buai8oacvSeWJKKBMmTV9U","type":"tool_result","content":"1\t//! Transcript discovery and parsing for reflect strand.\n2\t//!\n3\t//! This module provides functionality to discover and parse Claude Code session\n4\t//! transcripts from `.claude/projects/` directories. It extracts key events\n5\t//! (assistant actions, tool calls, outcomes) from JSONL transcript files.\n6\t//!\n7\t//! ## Transcript Location\n8\t//!\n9\t//! Session transcripts are stored in:\n10\t//! ```text\n11\t//! ~/.claude/projects/<project-name>/<session-id>.jsonl\n12\t//! ```\n13\t//!\n14\t//! Where `<project-name>` is the workspace path with slashes replaced by dashes\n15\t//! (e.g., `/home/coding/NEEDLE` → `-home-coding-NEEDLE`).\n16\t//!\n17\t//! ## Discovery Strategy\n18\t//!\n19\t//! 1. Given a workspace path, derive the Claude project name\n20\t//! 2. Scan `~/.claude/projects/<project-name>/` for JSONL files\n21\t//! 3. Filter by recency (last N sessions or time-based cutoff)\n22\t//! 4. Parse each JSONL file to extract structured events\n23\t\n24\tuse std::path::{Path, PathBuf};\n25\t\n26\tuse anyhow::{Context, Result};\n27\tuse chrono::{DateTime, Utc};\n28\tuse serde::{Deserialize, Serialize};\n29\t\n30\tuse crate::learning::DecisionContext;\n31\tuse crate::types::BeadId;\n32\t\n33\t// ──────────────────────────────────────────────────────────────────────────────\n34\t// Transcript entry types (parsed from JSONL)\n35\t// ──────────────────────────────────────────────────────────────────────────────\n36\t\n37\t/// A single JSONL entry from a Claude Code transcript.\n38\t#[derive(Debug, Clone, Deserialize, Serialize)]\n39\t#[serde(tag = \"type\")]\n40\tenum TranscriptEntry {\n41\t    /// User message (task description, context).\n42\t    #[serde(rename = \"user\")]\n43\t    User { message: UserMessage },\n44\t    /// Assistant response (text, tool calls).\n45\t    #[serde(rename = \"assistant\")]\n46\t    Assistant { message: AssistantMessage },\n47\t    /// Tool result (outcome of a tool_use).\n48\t    #[serde(rename = \"tool_result\")]\n49\t    ToolResult {\n50\t        tool_use_id: String,\n51\t        content: String,\n52\t        is_error: Option<bool>,\n53\t    },\n54\t    /// Attachment (deferred tools, companion intro).\n55\t    #[serde(rename = \"attachment\")]\n56\t    Attachment { attachment: Attachment },\n57\t    /// System event (init, status, hooks).\n58\t    #[serde(rename = \"system\")]\n59\t    System { subtype: String, session_id: String },\n60\t    /// Stream event (content blocks, deltas).\n61\t    #[serde(rename = \"stream_event\")]\n62\t    StreamEvent {\n63\t        event: StreamEvent,\n64\t        session_id: String,\n65\t    },\n66\t    /// Queue operation (enqueue/dequeue).\n67\t    #[serde(rename = \"queue-operation\")]\n68\t    QueueOperation {\n69\t        operation: String,\n70\t        timestamp: String,\n71\t    },\n72\t}\n73\t\n74\t/// User message content.\n75\t#[derive(Debug, Clone, Deserialize, Serialize)]\n76\tstruct UserMessage {\n77\t    content: UserContent,\n78\t}\n79\t\n80\t/// User message content — either a plain task description string or an array of\n81\t/// content blocks (tool results wrapped in user turns).\n82\t#[derive(Debug, Clone, Deserialize, Serialize)]\n83\t#[serde(untagged)]\n84\tenum UserContent {\n85\t    /// Plain text task description (first user turn).\n86\t    Text(String),\n87\t    /// Array of content blocks (subsequent user turns with tool results).\n88\t    Blocks(Vec<UserContentItem>),\n89\t}\n90\t\n91\t/// A single item in a user message content array.\n92\t#[derive(Debug, Clone, Deserialize, Serialize)]\n93\tstruct UserContentItem {\n94\t    #[serde(rename = \"type\")]\n95\t    block_type: String,\n96\t    #[serde(default)]\n97\t    tool_use_id: Option<String>,\n98\t    #[serde(default)]\n99\t    content: Option<String>,\n100\t    #[serde(default)]\n101\t    is_error: Option<bool>,\n102\t}\n103\t\n104\t/// Assistant message content.\n105\t#[derive(Debug, Clone, Deserialize, Serialize)]\n106\tstruct AssistantMessage {\n107\t    content: Vec<ContentBlock>,\n108\t    stop_reason: Option<String>,\n109\t}\n110\t\n111\t/// Content block (text, thinking, tool use).\n112\t#[derive(Debug, Clone, Deserialize, Serialize)]\n113\t#[serde(tag = \"type\")]\n114\tenum ContentBlock {\n115\t    #[serde(rename = \"text\")]\n116\t    Text { text: String },\n117\t    #[serde(rename = \"thinking\")]\n118\t    Thinking { thinking: String },\n119\t    #[serde(rename = \"tool_use\")]\n120\t    ToolUse {\n121\t        id: String,\n122\t        name: String,\n123\t        input: serde_json::Value,\n124\t    },\n125\t}\n126\t\n127\t/// Attachment metadata.\n128\t#[derive(Debug, Clone, Deserialize, Serialize)]\n129\tstruct Attachment {\n130\t    #[serde(rename = \"type\")]\n131\t    attachment_type: String,\n132\t}\n133\t\n134\t/// Stream event (content block updates).\n135\t#[derive(Debug, Clone, Deserialize, Serialize)]\n136\t#[serde(tag = \"type\")]\n137\t#[allow(clippy::enum_variant_names)]\n138\tenum StreamEvent {\n139\t    #[serde(rename = \"content_block_start\")]\n140\t    ContentBlockStart {\n141\t        index: usize,\n142\t        content_block: ContentBlock,\n143\t    },\n144\t    #[serde(rename = \"content_block_delta\")]\n145\t    ContentBlockDelta { index: usize, delta: ContentDelta },\n146\t    #[serde(rename = \"content_block_stop\")]\n147\t    ContentBlockStop { index: usize },\n148\t}\n149\t\n150\t/// Content delta (incremental update).\n151\t#[derive(Debug, Clone, Deserialize, Serialize)]\n152\t#[serde(tag = \"type\")]\n153\tenum ContentDelta {\n154\t    #[serde(rename = \"text_delta\")]\n155\t    TextDelta { text: String },\n156\t    #[serde(rename = \"thinking_delta\")]\n157\t    ThinkingDelta { thinking: String },\n158\t}\n159\t\n160\t// ──────────────────────────────────────────────────────────────────────────────\n161\t// Parsed transcript summary\n162\t// ──────────────────────────────────────────────────────────────────────────────\n163\t\n164\t/// A parsed and summarized transcript.\n165\t#[derive(Debug, Clone)]\n166\tpub struct ParsedTranscript {\n167\t    /// Session ID (filename without .jsonl).\n168\t    pub session_id: String,\n169\t    /// File modification time (when session was last updated).\n170\t    pub modified_at: DateTime<Utc>,\n171\t    /// User task description (from first user message).\n172\t    pub task_description: Option<String>,\n173\t    /// Assistant actions extracted from the transcript.\n174\t    pub actions: Vec<TranscriptAction>,\n175\t    /// Action-outcome pairs (tool_use → tool_result sequences).\n176\t    pub action_outcomes: Vec<ActionOutcome>,\n177\t    /// Bead ID if referenced in the task context.\n178\t    pub bead_id: Option<BeadId>,\n179\t    /// Workspace path this transcript belongs to (set during multi-workspace discovery).\n180\t    pub workspace: Option<PathBuf>,\n181\t}\n182\t\n183\t/// An action extracted from a transcript (tool call or text output).\n184\t#[derive(Debug, Clone)]\n185\tpub struct TranscriptAction {\n186\t    /// Action type (tool call or text).\n187\t    pub action_type: ActionType,\n188\t    /// Tool name (if tool use).\n189\t    pub tool_name: Option<String>,\n190\t    /// Action description (text output or tool input summary).\n191\t    pub description: String,\n192\t}\n193\t\n194\t/// An action-outcome pair extracted from a transcript.\n195\t///\n196\t/// Represents a tool_use action and its corresponding tool_result,\n197\t/// capturing the full cause-effect relationship.\n198\t#[derive(Debug, Clone)]\n199\tpub struct ActionOutcome {\n200\t    /// Tool name (e.g., \"Read\", \"Bash\", \"Grep\").\n201\t    pub tool_name: String,\n202\t    /// Tool input (file path, command, pattern, etc.).\n203\t    pub input: String,\n204\t    /// Tool result output (success content, error message, etc.).\n205\t    pub output: String,\n206\t    /// Whether the result indicates an error.\n207\t    pub is_error: bool,\n208\t    /// Action description (human-readable summary).\n209\t    pub action_description: String,\n210\t    /// Outcome description (human-readable summary).\n211\t    pub outcome_description: String,\n212\t}\n213\t\n214\timpl ActionOutcome {\n215\t    /// Create a new action-outcome pair.\n216\t    pub fn new(tool_name: String, input: String, output: String, is_error: bool) -> Self {\n217\t        let action_description = Self::format_action(&tool_name, &input);\n218\t        let outcome_description = Self::format_outcome(&tool_name, &output, is_error);\n219\t\n220\t        ActionOutcome {\n221\t            tool_name,\n222\t            input,\n223\t            output,\n224\t            is_error,\n225\t            action_description,\n226\t            outcome_description,\n227\t        }\n228\t    }\n229\t\n230\t    /// Format the action as a human-readable description.\n231\t    fn format_action(tool_name: &str, input: &str) -> String {\n232\t        match tool_name {\n233\t            \"Read\" | \"Edit\" | \"Write\" => {\n234\t                format!(\"{}: {}\", tool_name, truncate_path(input))\n235\t            }\n236\t            \"Bash\" => format!(\"bash: {}\", truncate_cmd(input)),\n237\t            \"Grep\" => format!(\"grep: {}\", truncate_pattern(input)),\n238\t            _ => format!(\"{}: {}\", tool_name, truncate_text(input, 100)),\n239\t        }\n240\t    }\n241\t\n242\t    /// Format the outcome as a human-readable description.\n243\t    fn format_outcome(tool_name: &str, output: &str, is_error: bool) -> String {\n244\t        if is_error {\n245\t            return format!(\"Error: {}\", truncate_text(output, 200));\n246\t        }\n247\t\n248\t        match tool_name {\n249\t            \"Read\" => format!(\"File read successfully ({} bytes)\", output.len()),\n250\t            \"Write\" | \"Edit\" => \"File written successfully\".to_string(),\n251\t            \"Bash\" => format!(\"Exit: {}\", truncate_text(output.trim(), 100)),\n252\t            \"Grep\" => format!(\"Found {} matches\", output.lines().count()),\n253\t            _ => truncate_text(output, 200),\n254\t        }\n255\t    }\n256\t\n257\t    /// Convert to a TranscriptPattern for learning extraction.\n258\t    pub fn to_pattern(\n259\t        &self,\n260\t        session_id: &str,\n261\t        timestamp: DateTime<Utc>,\n262\t    ) -> crate::learning::TranscriptPattern {\n263\t        crate::learning::TranscriptPattern::new(\n264\t            self.tool_name.clone(),\n265\t            self.input.clone(),\n266\t            self.outcome_description.clone(),\n267\t            session_id.to_string(),\n268\t            timestamp,\n269\t        )\n270\t    }\n271\t}\n272\t\n273\t/// Truncate a path to at most N characters, showing end if truncated.\n274\tfn truncate_path(path: &str) -> String {\n275\t    if path.len() <= 80 {\n276\t        path.to_string()\n277\t    } else {\n278\t        format!(\"...{}\", &path[path.len() - 77..])\n279\t    }\n280\t}\n281\t\n282\t/// Truncate a command to at most N characters.\n283\tfn truncate_cmd(cmd: &str) -> String {\n284\t    truncate_text(cmd, 100)\n285\t}\n286\t\n287\t/// Truncate a grep pattern to at most N characters.\n288\tfn truncate_pattern(pattern: &str) -> String {\n289\t    truncate_text(pattern, 60)\n290\t}\n291\t\n292\t/// Truncate text to at most N characters with ellipsis.\n293\tfn truncate_text(text: &str, max_chars: usize) -> String {\n294\t    if text.len() <= max_chars {\n295\t        text.to_string()\n296\t    } else {\n297\t        format!(\"{}...\", &text[..max_chars - 3])\n298\t    }\n299\t}\n300\t\n301\t/// Type of action performed by the assistant.\n302\t#[derive(Debug, Clone, PartialEq, Eq)]\n303\tpub enum ActionType {\n304\t    /// Text output to user.\n305\t    Text,\n306\t    /// Tool use (Read, Write, Bash, etc.).\n307\t    ToolUse,\n308\t    /// Thinking/reasoning block.\n309\t    Thinking,\n310\t}\n311\t\n312\t// ──────────────────────────────────────────────────────────────────────────────\n313\t// Transcript discovery\n314\t// ──────────────────────────────────────────────────────────────────────────────\n315\t\n316\t/// Discovers and parses Claude Code session transcripts for a workspace.\n317\tpub struct TranscriptDiscovery {\n318\t    /// Path to `.claude/projects/` directory.\n319\t    claude_projects_dir: PathBuf,\n320\t    /// Workspace path (used to derive project name).\n321\t    workspace: PathBuf,\n322\t    /// Maximum number of recent sessions to return.\n323\t    max_sessions: usize,\n324\t    /// Recency cutoff: only sessions modified after this time.\n325\t    recency_cutoff: Option<DateTime<Utc>>,\n326\t}\n327\t\n328\timpl TranscriptDiscovery {\n329\t    /// Create a new transcript discovery for a workspace.\n330\t    ///\n331\t    /// `workspace` is the path to the workspace root (e.g., `/home/coding/NEEDLE`).\n332\t    /// `claude_dir` is the path to the `.claude` directory (defaults to `~/.claude`).\n333\t    /// `max_sessions` limits the number of sessions returned (sorted by recency).\n334\t    pub fn new(workspace: &Path, claude_dir: Option<&Path>, max_sessions: usize) -> Self {\n335\t        let home_claude = PathBuf::from(std::env::var(\"HOME\").unwrap()).join(\".claude\");\n336\t        let claude_root = claude_dir.unwrap_or(&home_claude);\n337\t        let claude_projects_dir = claude_root.join(\"projects\");\n338\t\n339\t        TranscriptDiscovery {\n340\t            claude_projects_dir,\n341\t            workspace: workspace.to_path_buf(),\n342\t            max_sessions,\n343\t            recency_cutoff: None,\n344\t        }\n345\t    }\n346\t\n347\t    /// Set a recency cutoff (only sessions modified after this time).\n348\t    pub fn with_recency_cutoff(mut self, cutoff: DateTime<Utc>) -> Self {\n349\t        self.recency_cutoff = Some(cutoff);\n350\t        self\n351\t    }\n352\t\n353\t    /// Discover all recent session transcripts for this workspace.\n354\t    ///\n355\t    /// Returns transcripts sorted by modification time (most recent first).\n356\t    pub fn discover(&self) -> Result<Vec<ParsedTranscript>> {\n357\t        let project_name = self.derive_project_name();\n358\t        let project_dir = self.claude_projects_dir.join(&project_name);\n359\t\n360\t        if !project_dir.exists() {\n361\t            tracing::debug!(\n362\t                project_dir = %project_dir.display(),\n363\t                \"transcript discovery: project directory not found\"\n364\t            );\n365\t            return Ok(Vec::new());\n366\t        }\n367\t\n368\t        let mut transcripts = Vec::new();\n369\t\n370\t        // Iterate through JSONL files in the project directory\n371\t        for entry in std::fs::read_dir(&project_dir).with_context(|| {\n372\t            format!(\n373\t                \"failed to read project directory: {}\",\n374\t                project_dir.display()\n375\t            )\n376\t        })? {\n377\t            let entry = match entry {\n378\t                Ok(e) => e,\n379\t                Err(_) => continue,\n380\t            };\n381\t\n382\t            let path = entry.path();\n383\t\n384\t            // Only process .jsonl files\n385\t            if path.extension().and_then(|s| s.to_str()) != Some(\"jsonl\") {\n386\t                continue;\n387\t            }\n388\t\n389\t            // Get file metadata\n390\t            let metadata = match std::fs::metadata(&path) {\n391\t                Ok(m) => m,\n392\t                Err(_) => continue,\n393\t            };\n394\t\n395\t            // Get modification time\n396\t            let modified_at: DateTime<Utc> = metadata\n397\t                .modified()\n398\t                .ok()\n399\t                .map(DateTime::<Utc>::from)\n400\t                .unwrap_or_else(Utc::now);\n401\t\n402\t            // Check recency cutoff\n403\t            if let Some(cutoff) = self.recency_cutoff {\n404\t                if modified_at < cutoff {\n405\t                    continue;\n406\t                }\n407\t            }\n408\t\n409\t            // Parse the transcript\n410\t            match self.parse_transcript(&path, modified_at) {\n411\t                Ok(transcript) => transcripts.push(transcript),\n412\t                Err(e) => {\n413\t                    tracing::warn!(\n414\t                        path = %path.display(),\n415\t                        error = %e,\n416\t                        \"failed to parse transcript\"\n417\t                    );\n418\t                }\n419\t            }\n420\t        }\n421\t\n422\t        // Sort by modification time (most recent first)\n423\t        transcripts.sort_by_key(|b| std::cmp::Reverse(b.modified_at));\n424\t\n425\t        // Limit to max_sessions\n426\t        transcripts.truncate(self.max_sessions);\n427\t\n428\t        tracing::debug!(\n429\t            project_name,\n430\t            count = transcripts.len(),\n431\t            \"transcript discovery: found transcripts\"\n432\t        );\n433\t\n434\t        Ok(transcripts)\n435\t    }\n436\t\n437\t    /// Derive the Claude project name from the workspace path.\n438\t    ///\n439\t    /// `/home/coding/NEEDLE` → `-home-coding-NEEDLE`\n440\t    fn derive_project_name(&self) -> String {\n441\t        self.workspace\n442\t            .to_string_lossy()\n443\t            .replace(['/', '\\\\'], \"-\")\n444\t            .to_string()\n445\t    }\n446\t\n447\t    /// Parse a single transcript file.\n448\t    fn parse_transcript(\n449\t        &self,\n450\t        path: &Path,\n451\t        modified_at: DateTime<Utc>,\n452\t    ) -> Result<ParsedTranscript> {\n453\t        let session_id = path\n454\t            .file_stem()\n455\t            .and_then(|s| s.to_str())\n456\t            .unwrap_or(\"unknown\")\n457\t            .to_string();\n458\t\n459\t        let content = std::fs::read_to_string(path)\n460\t            .with_context(|| format!(\"failed to read transcript: {}\", path.display()))?;\n461\t\n462\t        let mut task_description = None;\n463\t        let mut actions = Vec::new();\n464\t        let mut action_outcomes = Vec::new();\n465\t        let mut bead_id = None;\n466\t\n467\t        // Track pending tool_use actions for pairing with tool_result\n468\t        let mut pending_tool_uses: std::collections::HashMap<String, (String, String)> =\n469\t            std::collections::HashMap::new();\n470\t\n471\t        // Parse each JSONL line\n472\t        for (line_no, line) in content.lines().enumerate() {\n473\t            let line = line.trim();\n474\t            if line.is_empty() {\n475\t                continue;\n476\t            }\n477\t\n478\t            match serde_json::from_str::<TranscriptEntry>(line) {\n479\t                Ok(entry) => {\n480\t                    // Handle user messages: task description (text) or tool results (blocks)\n481\t                    if let TranscriptEntry::User { ref message } = entry {\n482\t                        match &message.content {\n483\t                            UserContent::Text(text) => {\n484\t                                if task_description.is_none() {\n485\t                                    task_description =\n486\t                                        Some(self.extract_task_bead_id(text, &mut bead_id));\n487\t                                }\n488\t                            }\n489\t                            UserContent::Blocks(blocks) => {\n490\t                                for block in blocks {\n491\t                                    if block.block_type == \"tool_result\" {\n492\t                                        if let Some(ref tool_use_id) = block.tool_use_id {\n493\t                                            if let Some((tool_name, input)) =\n494\t                                                pending_tool_uses.remove(tool_use_id)\n495\t                                            {\n496\t                                                let outcome = ActionOutcome::new(\n497\t                                                    tool_name,\n498\t                                                    input,\n499\t                                                    block.content.clone().unwrap_or_default(),\n500\t                                                    block.is_error.unwrap_or(false),\n501\t                                                );\n502\t                                                action_outcomes.push(outcome);\n503\t                                            }\n504\t                                        }\n505\t                                    }\n506\t                                }\n507\t                            }\n508\t                        }\n509\t                    }\n510\t\n511\t                    // Extract actions from assistant messages\n512\t                    if let TranscriptEntry::Assistant { ref message } = entry {\n513\t                        for block in &message.content {\n514\t                            match block {\n515\t                                ContentBlock::Text { text } => {\n516\t                                    if !text.trim().is_empty() {\n517\t                                        actions.push(TranscriptAction {\n518\t                                            action_type: ActionType::Text,\n519\t                                            tool_name: None,\n520\t                                            description: text.chars().take(200).collect(),\n521\t                                        });\n522\t                                    }\n523\t                                }\n524\t                                ContentBlock::ToolUse { id, name, input } => {\n525\t                                    actions.push(TranscriptAction {\n526\t                                        action_type: ActionType::ToolUse,\n527\t                                        tool_name: Some(name.clone()),\n528\t                                        description: self.format_tool_input(name, input),\n529\t                                    });\n530\t\n531\t                                    // Track pending tool_use for pairing with tool_result\n532\t                                    let input_str = serde_json::to_string(input)\n533\t                                        .unwrap_or_else(|_| input.to_string());\n534\t                                    pending_tool_uses.insert(id.clone(), (name.clone(), input_str));\n535\t                                }\n536\t                                ContentBlock::Thinking { thinking } => {\n537\t                                    if !thinking.trim().is_empty() {\n538\t                                        actions.push(TranscriptAction {\n539\t                                            action_type: ActionType::Thinking,\n540\t                                            tool_name: None,\n541\t                                            description: thinking.chars().take(200).collect(),\n542\t                                        });\n543\t                                    }\n544\t                                }\n545\t                            }\n546\t                        }\n547\t                    }\n548\t\n549\t                    // Extract tool_result and pair with pending tool_use\n550\t                    if let TranscriptEntry::ToolResult {\n551\t                        tool_use_id,\n552\t                        content,\n553\t                        is_error,\n554\t                    } = entry\n555\t                    {\n556\t                        if let Some((tool_name, input)) = pending_tool_uses.remove(&tool_use_id) {\n557\t                            let outcome = ActionOutcome::new(\n558\t                                tool_name,\n559\t                                input,\n560\t                                content,\n561\t                                is_error.unwrap_or(false),\n562\t                            );\n563\t                            action_outcomes.push(outcome);\n564\t                        } else {\n565\t                            tracing::trace!(\n566\t                                tool_use_id = %tool_use_id,\n567\t                                \"tool_result without matching tool_use\"\n568\t                            );\n569\t                        }\n570\t                    }\n571\t                }\n572\t                Err(e) => {\n573\t                    tracing::trace!(\n574\t                        path = %path.display(),\n575\t                        line = line_no + 1,\n576\t                        error = %e,\n577\t                        \"failed to parse JSONL line\"\n578\t                    );\n579\t                }\n580\t            }\n581\t        }\n582\t\n583\t        Ok(ParsedTranscript {\n584\t            session_id,\n585\t            modified_at,\n586\t            task_description,\n587\t            actions,\n588\t            action_outcomes,\n589\t            bead_id,\n590\t            workspace: Some(self.workspace.clone()),\n591\t        })\n592\t    }\n593\t\n594\t    /// Extract task description and parse bead ID from user message.\n595\t    fn extract_task_bead_id(&self, content: &str, bead_id: &mut Option<BeadId>) -> String {\n596\t        // Extract bead ID if present (format: \"Bead ID: needle-xxx\")\n597\t        if let Some(idx) = content.find(\"Bead ID:\") {\n598\t            let after = &content[idx + \"Bead ID:\".len()..];\n599\t            let id = after\n600\t                .split_whitespace()\n601\t                .next()\n602\t                .filter(|s| s.starts_with(\"needle-\"))\n603\t                .map(|s| s.trim().to_string());\n604\t            *bead_id = id.map(BeadId::from);\n605\t        }\n606\t\n607\t        // Return first 500 chars as task description\n608\t        content.chars().take(500).collect()\n609\t    }\n610\t\n611\t    /// Format tool input as a short description.\n612\t    fn format_tool_input(&self, name: &str, input: &serde_json::Value) -> String {\n613\t        match name {\n614\t            \"Read\" | \"Edit\" | \"Write\" => {\n615\t                if let Some(path) = input.get(\"file_path\").and_then(|v| v.as_str()) {\n616\t                    format!(\"{}: {}\", name, path)\n617\t                } else if let Some(path) = input.get(\"path\").and_then(|v| v.as_str()) {\n618\t                    format!(\"{}: {}\", name, path)\n619\t                } else {\n620\t                    name.to_string()\n621\t                }\n622\t            }\n623\t            \"Bash\" => input\n624\t                .get(\"command\")\n625\t                .and_then(|v| v.as_str())\n626\t                .map(|cmd| format!(\"bash: {}\", cmd.chars().take(100).collect::<String>()))\n627\t                .unwrap_or_else(|| name.to_string()),\n628\t            \"Grep\" => input\n629\t                .get(\"pattern\")\n630\t                .and_then(|v| v.as_str())\n631\t                .map(|p| format!(\"grep: {}\", p))\n632\t                .unwrap_or_else(|| name.to_string()),\n633\t            _ => name.to_string(),\n634\t        }\n635\t    }\n636\t}\n637\t\n638\t/// Discover recent transcripts across multiple workspaces.\n639\t///\n640\t/// Combines results from all workspaces, sorted by modification time (most recent\n641\t/// first), and truncated to `max_total`. Each returned transcript has its\n642\t/// `workspace` field set to the source workspace path.\n643\t///\n644\t/// Workspaces that have no transcript directory are silently skipped.\n645\tpub fn discover_workspaces(\n646\t    workspaces: &[&Path],\n647\t    claude_dir: Option<&Path>,\n648\t    max_per_workspace: usize,\n649\t    max_total: usize,\n650\t    recency_cutoff: Option<DateTime<Utc>>,\n651\t) -> Result<Vec<ParsedTranscript>> {\n652\t    let mut all = Vec::new();\n653\t\n654\t    for &workspace in workspaces {\n655\t        let mut d = TranscriptDiscovery::new(workspace, claude_dir, max_per_workspace);\n656\t        if let Some(cutoff) = recency_cutoff {\n657\t            d = d.with_recency_cutoff(cutoff);\n658\t        }\n659\t\n660\t        match d.discover() {\n661\t            Ok(transcripts) => all.extend(transcripts),\n662\t            Err(e) => {\n663\t                tracing::warn!(\n664\t                    workspace = %workspace.display(),\n665\t                    error = %e,\n666\t                    \"transcript discovery: skipping workspace due to error\"\n667\t                );\n668\t            }\n669\t        }\n670\t    }\n671\t\n672\t    // Sort by modification time (most recent first) and cap\n673\t    all.sort_by_key(|t| std::cmp::Reverse(t.modified_at));\n674\t    all.truncate(max_total);\n675\t\n676\t    Ok(all)\n677\t}\n678\t\n679\t// ──────────────────────────────────────────────────────────────────────────────\n680\t// Decision Detection\n681\t// ──────────────────────────────────────────────────────────────────────────────\n682\t\n683\t/// Decision patterns that indicate an agent chose between alternatives.\n684\t///\n685\t/// These patterns are searched for in thinking blocks and assistant text\n686\t/// to identify decision points worth preserving as ADR-style learnings.\n687\tconst DECISION_PATTERNS: &[&str] = &[\n688\t    \"chose\",\n689\t    \"decided to\",\n690\t    \"opted for\",\n691\t    \"selected\",\n692\t    \"picked\",\n693\t    \"went with\",\n694\t    \"choosing\",\n695\t    \"decision\",\n696\t    \"instead of\",\n697\t    \"rather than\",\n698\t    \"over\",\n699\t    \"preference\",\n700\t    \"prefer\",\n701\t];\n702\t\n703\t/// Rationale indicator patterns that follow a decision.\n704\t///\n705\t/// These patterns help extract the \"why\" behind a decision.\n706\tconst RATIONALE_PATTERNS: &[&str] = &[\n707\t    \"because\",\n708\t    \"since\",\n709\t    \"as\",\n710\t    \"due to\",\n711\t    \"given that\",\n712\t    \"considering\",\n713\t    \"reason\",\n714\t    \"rationale\",\n715\t    \"why\",\n716\t    \"motivation\",\n717\t    \"justification\",\n718\t];\n719\t\n720\t/// A detected decision with its context and rationale.\n721\t#[derive(Debug, Clone)]\n722\tpub struct DetectedDecision {\n723\t    /// The decision that was made.\n724\t    pub decision: String,\n725\t    /// Context/problem space.\n726\t    pub context: String,\n727\t    /// Rationale (why this choice).\n728\t    pub rationale: String,\n729\t    /// Alternatives mentioned (if any).\n730\t    pub alternatives: Vec<String>,\n731\t    /// Confidence that this is a genuine decision (0.0-1.0).\n732\t    pub confidence: f32,\n733\t}\n734\t\n735\t/// Detect decisions in a parsed transcript.\n736\t///\n737\t/// Analyzes thinking blocks and assistant text for decision patterns,\n738\t/// extracting the decision, context, and rationale.\n739\tpub fn detect_decisions(transcript: &ParsedTranscript) -> Vec<DetectedDecision> {\n740\t    let mut decisions = Vec::new();\n741\t\n742\t    // Group consecutive thinking blocks for better context\n743\t    let mut thinking_blocks = Vec::new();\n744\t    for action in &transcript.actions {\n745\t        if action.action_type == ActionType::Thinking {\n746\t            thinking_blocks.push(action.description.clone());\n747\t        }\n748\t    }\n749\t\n750\t    // Analyze each thinking block for decision patterns\n751\t    for thinking in &thinking_blocks {\n752\t        if let Some(decision) = analyze_thinking_for_decision(thinking) {\n753\t            decisions.push(decision);\n754\t        }\n755\t    }\n756\t\n757\t    // Also analyze assistant text for decisions (lower confidence)\n758\t    for action in &transcript.actions {\n759\t        if action.action_type == ActionType::Text {\n760\t            if let Some(decision) = analyze_text_for_decision(&action.description) {\n761\t                decisions.push(decision);\n762\t            }\n763\t        }\n764\t    }\n765\t\n766\t    decisions\n767\t}\n768\t\n769\t/// Analyze a thinking block for decision patterns.\n770\tfn analyze_thinking_for_decision(thinking: &str) -> Option<DetectedDecision> {\n771\t    let thinking_lower = thinking.to_lowercase();\n772\t\n773\t    // Check if any decision pattern is present\n774\t    let decision_match = DECISION_PATTERNS\n775\t        .iter()\n776\t        .find(|p| thinking_lower.contains(*p));\n777\t\n778\t    let _ = decision_match?;\n779\t\n780\t    // Extract the decision sentence(s)\n781\t    let decision = extract_decision_sentence(thinking)?;\n782\t\n783\t    // Extract context (sentence(s) before the decision)\n784\t    let context = extract_context_before(thinking, &decision)?;\n785\t\n786\t    // Extract rationale (look for \"because\", \"since\", etc. after decision)\n787\t    let rationale = extract_rationale_after(thinking, &decision).unwrap_or_default();\n788\t\n789\t    // Extract alternatives (look for \"instead of X\", \"over Y\", etc.)\n790\t    let alternatives = extract_alternatives(thinking);\n791\t\n792\t    // Calculate confidence based on signal strength\n793\t    let confidence = calculate_decision_confidence(&decision, &rationale, &alternatives);\n794\t\n795\t    if confidence < 0.3 {\n796\t        return None;\n797\t    }\n798\t\n799\t    Some(DetectedDecision {\n800\t        decision,\n801\t        context,\n802\t        rationale,\n803\t        alternatives,\n804\t        confidence,\n805\t    })\n806\t}\n807\t\n808\t/// Analyze assistant text for decision patterns (lower confidence).\n809\tfn analyze_text_for_decision(text: &str) -> Option<DetectedDecision> {\n810\t    let text_lower = text.to_lowercase();\n811\t\n812\t    // Check if any decision pattern is present\n813\t    let decision_match = DECISION_PATTERNS.iter().find(|p| text_lower.contains(*p));\n814\t\n815\t    let _ = decision_match?;\n816\t\n817\t    // Extract the decision (first sentence with decision pattern)\n818\t    let decision = extract_decision_sentence(text)?;\n819\t\n820\t    // For text, context is limited (use preceding sentence if available)\n821\t    let context = extract_context_before(text, &decision).unwrap_or_default();\n822\t\n823\t    // Extract rationale\n824\t    let rationale = extract_rationale_after(text, &decision).unwrap_or_default();\n825\t\n826\t    // Extract alternatives\n827\t    let alternatives = extract_alternatives(text);\n828\t\n829\t    // Lower confidence for text vs thinking blocks\n830\t    let confidence = calculate_decision_confidence(&decision, &rationale, &alternatives) * 0.7;\n831\t\n832\t    if confidence < 0.3 {\n833\t        return None;\n834\t    }\n835\t\n836\t    Some(DetectedDecision {\n837\t        decision,\n838\t        context,\n839\t        rationale,\n840\t        alternatives,\n841\t        confidence,\n842\t    })\n843\t}\n844\t\n845\t/// Extract the sentence containing the decision.\n846\tfn extract_decision_sentence(text: &str) -> Option<String> {\n847\t    // Split into sentences (naive: split on periods)\n848\t    let sentences: Vec<&str> = text.split('.').collect();\n849\t\n850\t    for sentence in sentences {\n851\t        let s = sentence.trim();\n852\t        let s_lower = s.to_lowercase();\n853\t        if DECISION_PATTERNS.iter().any(|p| s_lower.contains(p)) {\n854\t            return Some(s.to_string());\n855\t        }\n856\t    }\n857\t\n858\t    None\n859\t}\n860\t\n861\t/// Extract context (text before the decision sentence).\n862\tfn extract_context_before(text: &str, decision: &str) -> Option<String> {\n863\t    let idx = text.find(decision)?;\n864\t    if idx == 0 {\n865\t        return None;\n866\t    }\n867\t\n868\t    let before = &text[..idx];\n869\t    // Take last 2 sentences as context (200 chars max)\n870\t    let context: String = before\n871\t        .rsplit('.')\n872\t        .take(2)\n873\t        .collect::<Vec<_>>()\n874\t        .into_iter()\n875\t        .rev()\n876\t        .collect::<Vec<_>>()\n877\t        .join(\".\")\n878\t        .chars()\n879\t        .rev()\n880\t        .take(200)\n881\t        .collect::<Vec<char>>()\n882\t        .into_iter()\n883\t        .rev()\n884\t        .collect();\n885\t\n886\t    if context.trim().is_empty() {\n887\t        None\n888\t    } else {\n889\t        Some(context.trim().to_string())\n890\t    }\n891\t}\n892\t\n893\t/// Extract rationale (text after decision with rationale indicators).\n894\tfn extract_rationale_after(text: &str, decision: &str) -> Option<String> {\n895\t    let decision_end = text.find(decision)? + decision.len();\n896\t    let after = text.get(decision_end..)?;\n897\t\n898\t    // Look for rationale pattern in next 300 chars\n899\t    let search_window: String = after.chars().take(300).collect();\n900\t    let search_lower = search_window.to_lowercase();\n901\t\n902\t    for pattern in RATIONALE_PATTERNS {\n903\t        if let Some(idx) = search_lower.find(pattern) {\n904\t            // Extract from pattern to next period or end\n905\t            let rationale_start = idx + pattern.len();\n906\t            let rationale_end = search_window[rationale_start..]\n907\t                .find('.')\n908\t                .unwrap_or(search_window[rationale_start..].len());\n909\t\n910\t            let rationale = search_window[rationale_start..rationale_start + rationale_end]\n911\t                .trim()\n912\t                .to_string();\n913\t            if !rationale.is_empty() {\n914\t                return Some(rationale);\n915\t            }\n916\t        }\n917\t    }\n918\t\n919\t    None\n920\t}\n921\t\n922\t/// Extract alternatives mentioned in the text.\n923\tfn extract_alternatives(text: &str) -> Vec<String> {\n924\t    let mut alternatives = Vec::new();\n925\t    let text_lower = text.to_lowercase();\n926\t\n927\t    // Look for \"instead of X\", \"over Y\", \"not Z\"\n928\t    let patterns = [\n929\t        (\"instead of\", \"instead of\"),\n930\t        (\"over \", \"over\"),\n931\t        (\"not \", \"not\"),\n932\t    ];\n933\t\n934\t    for (marker, _name) in patterns {\n935\t        let mut search_start = 0;\n936\t        while let Some(idx) = text_lower[search_start..].find(marker) {\n937\t            let absolute_idx = search_start + idx;\n938\t            let after_marker = absolute_idx + marker.len();\n939\t\n940\t            // Extract next few words as alternative (up to 50 chars)\n941\t            let alt_text: String = text\n942\t                .get(after_marker..)\n943\t                .map(|s| s.chars().take(50).collect::<String>())\n944\t                .unwrap_or_default();\n945\t\n946\t            // Extract first phrase (up to comma, period, or 5 words)\n947\t            let alt: String = alt_text\n948\t                .split([',', '.'])\n949\t                .next()\n950\t                .unwrap_or(\"\")\n951\t                .split_whitespace()\n952\t                .take(5)\n953\t                .collect::<Vec<_>>()\n954\t                .join(\" \");\n955\t\n956\t            if !alt.is_empty() && alt.len() > 2 {\n957\t                alternatives.push(alt);\n958\t            }\n959\t\n960\t            search_start = after_marker;\n961\t        }\n962\t    }\n963\t\n964\t    // Dedupe and limit\n965\t    alternatives.sort();\n966\t    alternatives.dedup();\n967\t    alternatives.truncate(3);\n968\t    alternatives\n969\t}\n970\t\n971\t/// Calculate confidence score for a detected decision.\n972\tfn calculate_decision_confidence(decision: &str, rationale: &str, alternatives: &[String]) -> f32 {\n973\t    let mut confidence: f32 = 0.3; // Base confidence\n974\t\n975\t    // Strong decision phrases\n976\t    if decision.to_lowercase().contains(\"decided to\")\n977\t        || decision.to_lowercase().contains(\"chose\")\n978\t        || decision.to_lowercase().contains(\"opted for\")\n979\t    {\n980\t        confidence += 0.3;\n981\t    }\n982\t\n983\t    // Has rationale\n984\t    if !rationale.is_empty() {\n985\t        confidence += 0.2;\n986\t    }\n987\t\n988\t    // Has alternatives (shows comparison was made)\n989\t    if !alternatives.is_empty() {\n990\t        confidence += 0.1;\n991\t    }\n992\t\n993\t    // Decision is specific (mentions concrete action)\n994\t    if decision.len() > 15 && decision.len() < 200 {\n995\t        confidence += 0.1;\n996\t    }\n997\t\n998\t    confidence.min(1.0_f32)\n999\t}\n1000\t\n1001\t/// Convert a detected decision to a DecisionContext for learning entries.\n1002\timpl From<DetectedDecision> for DecisionContext {\n1003\t    fn from(detected: DetectedDecision) -> Self {\n1004\t        DecisionContext {\n1005\t            decision: detected.decision,\n1006\t            context: detected.context,\n1007\t            rationale: detected.rationale,\n1008\t            alternatives: detected.alternatives,\n1009\t        }\n1010\t    }\n1011\t}\n1012\t\n1013\t// ──────────────────────────────────────────────────────────────────────────────\n1014\t// Tests\n1015\t// ──────────────────────────────────────────────────────────────────────────────\n1016\t\n1017\t#[cfg(test)]\n1018\tmod tests {\n1019\t    use super::*;\n1020\t    use std::fs;\n1021\t    use std::io::Write;\n1022\t    use tempfile::TempDir;\n1023\t\n1024\t    #[test]\n1025\t    fn derive_project_name_unix() {\n1026\t        let temp_dir = TempDir::new().unwrap();\n1027\t        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n1028\t        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n1029\t        // The full path is converted, including the temp directory prefix\n1030\t        let result = discovery.derive_project_name();\n1031\t        // Verify it ends with the expected suffix (temp dir prefix varies)\n1032\t        assert!(result.ends_with(\"-home-coding-NEEDLE\"));\n1033\t        // Absolute paths always produce a leading dash (slashes → dashes)\n1034\t        assert!(result.starts_with('-'));\n1035\t    }\n1036\t\n1037\t    #[test]\n1038\t    fn derive_project_name_absolute() {\n1039\t        let workspace = PathBuf::from(\"/home/coding/NEEDLE\");\n1040\t        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n1041\t        assert_eq!(discovery.derive_project_name(), \"-home-coding-NEEDLE\");\n1042\t    }\n1043\t\n1044\t    #[test]\n1045\t    fn discovery_returns_empty_when_no_project_dir() {\n1046\t        let temp_dir = TempDir::new().unwrap();\n1047\t        let workspace = temp_dir.path().join(\"nonexistent\");\n1048\t        let claude_dir = temp_dir.path().join(\".claude\");\n1049\t        fs::create_dir_all(&claude_dir).unwrap();\n1050\t\n1051\t        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n1052\t        let result = discovery.discover().unwrap();\n1053\t        assert!(result.is_empty());\n1054\t    }\n1055\t\n1056\t    #[test]\n1057\t    fn discovery_parses_valid_transcript() {\n1058\t        let temp_dir = TempDir::new().unwrap();\n1059\t        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n1060\t        let claude_dir = temp_dir.path().join(\".claude\");\n1061\t\n1062\t        // Create project directory using the same convention as derive_project_name()\n1063\t        let project_name = workspace\n1064\t            .to_string_lossy()\n1065\t            .replace(['/', '\\\\'], \"-\")\n1066\t            .to_string();\n1067\t        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1068\t        fs::create_dir_all(&project_dir).unwrap();\n1069\t\n1070\t        // Create a test transcript with tool_use and tool_result\n1071\t        let transcript_path = project_dir.join(\"test-session.jsonl\");\n1072\t        let mut file = fs::File::create(&transcript_path).unwrap();\n1073\t\n1074\t        writeln!(file, \"{{\\\"type\\\":\\\"user\\\",\\\"message\\\":{{\\\"content\\\":\\\"## Task\\\\n\\\\nFix the bug\\\\n\\\\nBead ID: needle-test123\\\"}}}}\").unwrap();\n1075\t        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"text\",\"text\":\"I'll fix it\"}}], \"stop_reason\":\"end_turn\"}}}}\"#).unwrap();\n1076\t        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"tool_use\",\"id\":\"1\",\"name\":\"Read\",\"input\":{{\"file_path\":\"/tmp/test.txt\"}}}}]}}}}\"#).unwrap();\n1077\t        writeln!(file, r#\"{{\"type\":\"tool_result\",\"tool_use_id\":\"1\",\"content\":\"file content here\",\"is_error\":false}}\"#).unwrap();\n1078\t\n1079\t        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n1080\t        let results = discovery.discover().unwrap();\n1081\t\n1082\t        assert_eq!(results.len(), 1);\n1083\t        let transcript = &results[0];\n1084\t        assert_eq!(transcript.session_id, \"test-session\");\n1085\t        assert!(transcript.task_description.is_some());\n1086\t        assert_eq!(transcript.bead_id.as_deref(), Some(\"needle-test123\"));\n1087\t        assert_eq!(transcript.actions.len(), 2);\n1088\t        assert_eq!(transcript.actions[0].action_type, ActionType::Text);\n1089\t        assert_eq!(transcript.actions[1].action_type, ActionType::ToolUse);\n1090\t        assert_eq!(transcript.actions[1].tool_name.as_deref(), Some(\"Read\"));\n1091\t        // Check action-outcome pairs\n1092\t        assert_eq!(transcript.action_outcomes.len(), 1);\n1093\t        assert_eq!(transcript.action_outcomes[0].tool_name, \"Read\");\n1094\t        assert!(!transcript.action_outcomes[0].is_error);\n1095\t        assert_eq!(transcript.action_outcomes[0].output, \"file content here\");\n1096\t    }\n1097\t\n1098\t    #[test]\n1099\t    fn discovery_parses_user_wrapped_tool_results() {\n1100\t        let temp_dir = TempDir::new().unwrap();\n1101\t        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n1102\t        let claude_dir = temp_dir.path().join(\".claude\");\n1103\t\n1104\t        let project_name = workspace\n1105\t            .to_string_lossy()\n1106\t            .replace(['/', '\\\\'], \"-\")\n1107\t            .to_string();\n1108\t        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1109\t        fs::create_dir_all(&project_dir).unwrap();\n1110\t\n1111\t        // Write a transcript in the real Claude Code format:\n1112\t        // tool_result entries come as user messages with array content\n1113\t        let transcript_path = project_dir.join(\"real-format-session.jsonl\");\n1114\t        let mut file = fs::File::create(&transcript_path).unwrap();\n1115\t\n1116\t        // First user message: task description (string content)\n1117\t        writeln!(file, \"{{\\\"type\\\":\\\"user\\\",\\\"message\\\":{{\\\"content\\\":\\\"Fix the bug\\\"}}}}\").unwrap();\n1118\t        // Assistant with tool_use\n1119\t        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"tool_use\",\"id\":\"call_abc\",\"name\":\"Read\",\"input\":{{\"file_path\":\"/tmp/foo.rs\"}}}}]}}}}\"#).unwrap();\n1120\t        // User message with array content wrapping the tool_result (real format)\n1121\t        writeln!(file, r#\"{{\"type\":\"user\",\"message\":{{\"content\":[{{\"type\":\"tool_result\",\"tool_use_id\":\"call_abc\",\"content\":\"line 1\\nline 2\",\"is_error\":false}}]}}}}\"#).unwrap();\n1122\t\n1123\t        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n1124\t        let results = discovery.discover().unwrap();\n1125\t\n1126\t        assert_eq!(results.len(), 1);\n1127\t        let transcript = &results[0];\n1128\t        assert_eq!(transcript.task_description.as_deref(), Some(\"Fix the bug\"));\n1129\t        // Tool use should be recorded as an action\n1130\t        assert!(transcript\n1131\t            .actions\n1132\t            .iter()\n1133\t            .any(|a| a.tool_name.as_deref() == Some(\"Read\")));\n1134\t        // Action-outcome pair should be created from the user-wrapped tool_result\n1135\t        assert_eq!(transcript.action_outcomes.len(), 1);\n1136\t        assert_eq!(transcript.action_outcomes[0].tool_name, \"Read\");\n1137\t        assert!(!transcript.action_outcomes[0].is_error);\n1138\t        assert_eq!(transcript.action_outcomes[0].output, \"line 1\\nline 2\");\n1139\t    }\n1140\t\n1141\t    #[test]\n1142\t    fn discovery_respects_max_sessions() {\n1143\t        let temp_dir = TempDir::new().unwrap();\n1144\t        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n1145\t        let claude_dir = temp_dir.path().join(\".claude\");\n1146\t\n1147\t        // Create project directory using the same convention as derive_project_name()\n1148\t        let project_name = workspace\n1149\t            .to_string_lossy()\n1150\t            .replace(['/', '\\\\'], \"-\")\n1151\t            .to_string();\n1152\t        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1153\t        fs::create_dir_all(&project_dir).unwrap();\n1154\t\n1155\t        // Create 5 transcripts\n1156\t        for i in 1..=5 {\n1157\t            let path = project_dir.join(format!(\"session-{}.jsonl\", i));\n1158\t            fs::write(&path, r#\"{\"type\":\"user\",\"message\":{\"content\":\"test\"}}\"#).unwrap();\n1159\t            // Add small delay to ensure different modification times\n1160\t            std::thread::sleep(std::time::Duration::from_millis(10));\n1161\t        }\n1162\t\n1163\t        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 3);\n1164\t        let results = discovery.discover().unwrap();\n1165\t\n1166\t        assert_eq!(results.len(), 3);\n1167\t    }\n1168\t\n1169\t    #[test]\n1170\t    fn discovery_respects_recency_cutoff() {\n1171\t        let temp_dir = TempDir::new().unwrap();\n1172\t        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n1173\t        let claude_dir = temp_dir.path().join(\".claude\");\n1174\t\n1175\t        // Create project directory using the same convention as derive_project_name()\n1176\t        let project_name = workspace\n1177\t            .to_string_lossy()\n1178\t            .replace(['/', '\\\\'], \"-\")\n1179\t            .to_string();\n1180\t        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1181\t        fs::create_dir_all(&project_dir).unwrap();\n1182\t\n1183\t        // Create a transcript\n1184\t        let path = project_dir.join(\"old-session.jsonl\");\n1185\t        fs::write(&path, r#\"{\"type\":\"user\",\"message\":{\"content\":\"old\"}}\"#).unwrap();\n1186\t\n1187\t        // Set recency cutoff to now + 1 hour (future)\n1188\t        let future_cutoff = Utc::now() + chrono::Duration::hours(1);\n1189\t        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10)\n1190\t            .with_recency_cutoff(future_cutoff);\n1191\t        let results = discovery.discover().unwrap();\n1192\t\n1193\t        assert!(results.is_empty());\n1194\t    }\n1195\t\n1196\t    #[test]\n1197\t    fn format_tool_input_read() {\n1198\t        let temp_dir = TempDir::new().unwrap();\n1199\t        let workspace = temp_dir.path().join(\"test\");\n1200\t        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n1201\t\n1202\t        let input = serde_json::json!({\"file_path\": \"/tmp/test.txt\"});\n1203\t        let result = discovery.format_tool_input(\"Read\", &input);\n1204\t        assert_eq!(result, \"Read: /tmp/test.txt\");\n1205\t    }\n1206\t\n1207\t    #[test]\n1208\t    fn format_tool_input_bash() {\n1209\t        let temp_dir = TempDir::new().unwrap();\n1210\t        let workspace = temp_dir.path().join(\"test\");\n1211\t        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n1212\t\n1213\t        let input = serde_json::json!({\"command\": \"cargo test\"});\n1214\t        let result = discovery.format_tool_input(\"Bash\", &input);\n1215\t        assert_eq!(result, \"bash: cargo test\");\n1216\t    }\n1217\t\n1218\t    #[test]\n1219\t    fn extract_task_bead_id() {\n1220\t        let temp_dir = TempDir::new().unwrap();\n1221\t        let workspace = temp_dir.path().join(\"test\");\n1222\t        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n1223\t\n1224\t        let mut bead_id = None;\n1225\t        let content = \"## Task\\n\\nFix the bug\\n\\nBead ID: needle-abc123\";\n1226\t        let desc = discovery.extract_task_bead_id(content, &mut bead_id);\n1227\t\n1228\t        assert!(desc.contains(\"Fix the bug\"));\n1229\t        assert_eq!(bead_id.as_deref(), Some(\"needle-abc123\"));\n1230\t    }\n1231\t\n1232\t    #[test]\n1233\t    fn extract_task_without_bead_id() {\n1234\t        let temp_dir = TempDir::new().unwrap();\n1235\t        let workspace = temp_dir.path().join(\"test\");\n1236\t        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n1237\t\n1238\t        let mut bead_id = None;\n1239\t        let content = \"## Task\\n\\nJust do something\";\n1240\t        let desc = discovery.extract_task_bead_id(content, &mut bead_id);\n1241\t\n1242\t        assert!(desc.contains(\"Just do something\"));\n1243\t        assert!(bead_id.is_none());\n1244\t    }\n1245\t\n1246\t    #[test]\n1247\t    fn parsed_transcript_workspace_field_is_set() {\n1248\t        let temp_dir = TempDir::new().unwrap();\n1249\t        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n1250\t        let claude_dir = temp_dir.path().join(\".claude\");\n1251\t\n1252\t        let project_name = workspace\n1253\t            .to_string_lossy()\n1254\t            .replace(['/', '\\\\'], \"-\")\n1255\t            .to_string();\n1256\t        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1257\t        fs::create_dir_all(&project_dir).unwrap();\n1258\t\n1259\t        fs::write(\n1260\t            project_dir.join(\"ws-session.jsonl\"),\n1261\t            r#\"{\"type\":\"user\",\"message\":{\"content\":\"test\"}}\"#,\n1262\t        )\n1263\t        .unwrap();\n1264\t\n1265\t        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n1266\t        let results = discovery.discover().unwrap();\n1267\t\n1268\t        assert_eq!(results.len(), 1);\n1269\t        assert_eq!(results[0].workspace.as_deref(), Some(workspace.as_path()));\n1270\t    }\n1271\t\n1272\t    #[test]\n1273\t    fn discover_workspaces_combines_multiple() {\n1274\t        let temp_dir = TempDir::new().unwrap();\n1275\t        let claude_dir = temp_dir.path().join(\".claude\");\n1276\t\n1277\t        // Create two workspaces, each with one transcript\n1278\t        let ws_a = temp_dir\n1279\t            .path()\n1280\t            .join(\"home\")\n1281\t            .join(\"coding\")\n1282\t            .join(\"project-a\");\n1283\t        let ws_b = temp_dir\n1284\t            .path()\n1285\t            .join(\"home\")\n1286\t            .join(\"coding\")\n1287\t            .join(\"project-b\");\n1288\t\n1289\t        for ws in [&ws_a, &ws_b] {\n1290\t            let project_name = ws\n1291\t                .to_string_lossy()\n1292\t                .replace(['/', '\\\\'], \"-\")\n1293\t                .to_string();\n1294\t            let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1295\t            fs::create_dir_all(&project_dir).unwrap();\n1296\t            fs::write(\n1297\t                project_dir.join(\"session.jsonl\"),\n1298\t                r#\"{\"type\":\"user\",\"message\":{\"content\":\"task\"}}\"#,\n1299\t            )\n1300\t            .unwrap();\n1301\t        }\n1302\t\n1303\t        let results = super::discover_workspaces(\n1304\t            &[ws_a.as_path(), ws_b.as_path()],\n1305\t            Some(&claude_dir),\n1306\t            10,\n1307\t            100,\n1308\t            None,\n1309\t        )\n1310\t        .unwrap();\n1311\t\n1312\t        assert_eq!(results.len(), 2);\n1313\t        // Both workspaces should be represented\n1314\t        let found_a = results\n1315\t            .iter()\n1316\t            .any(|t| t.workspace.as_deref() == Some(ws_a.as_path()));\n1317\t        let found_b = results\n1318\t            .iter()\n1319\t            .any(|t| t.workspace.as_deref() == Some(ws_b.as_path()));\n1320\t        assert!(found_a, \"workspace A not found in results\");\n1321\t        assert!(found_b, \"workspace B not found in results\");\n1322\t    }\n1323\t\n1324\t    #[test]\n1325\t    fn discover_workspaces_respects_max_total() {\n1326\t        let temp_dir = TempDir::new().unwrap();\n1327\t        let claude_dir = temp_dir.path().join(\".claude\");\n1328\t\n1329\t        // Create two workspaces, each with 3 transcripts\n1330\t        for proj in [\"proj-x\", \"proj-y\"] {\n1331\t            let ws = temp_dir.path().join(\"home\").join(proj);\n1332\t            let project_name = ws\n1333\t                .to_string_lossy()\n1334\t                .replace(['/', '\\\\'], \"-\")\n1335\t                .to_string();\n1336\t            let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1337\t            fs::create_dir_all(&project_dir).unwrap();\n1338\t            for i in 1..=3 {\n1339\t                fs::write(\n1340\t                    project_dir.join(format!(\"session-{}.jsonl\", i)),\n1341\t                    r#\"{\"type\":\"user\",\"message\":{\"content\":\"t\"}}\"#,\n1342\t                )\n1343\t                .unwrap();\n1344\t                std::thread::sleep(std::time::Duration::from_millis(5));\n1345\t            }\n1346\t        }\n1347\t\n1348\t        let ws_x = temp_dir.path().join(\"home\").join(\"proj-x\");\n1349\t        let ws_y = temp_dir.path().join(\"home\").join(\"proj-y\");\n1350\t\n1351\t        let results = super::discover_workspaces(\n1352\t            &[ws_x.as_path(), ws_y.as_path()],\n1353\t            Some(&claude_dir),\n1354\t            10,\n1355\t            4,\n1356\t            None,\n1357\t        )\n1358\t        .unwrap();\n1359\t\n1360\t        assert_eq!(results.len(), 4);\n1361\t    }\n1362\t\n1363\t    #[test]\n1364\t    fn discover_workspaces_skips_missing_workspace() {\n1365\t        let temp_dir = TempDir::new().unwrap();\n1366\t        let claude_dir = temp_dir.path().join(\".claude\");\n1367\t\n1368\t        // One valid workspace\n1369\t        let ws_good = temp_dir.path().join(\"home\").join(\"coding\").join(\"good\");\n1370\t        let project_name = ws_good\n1371\t            .to_string_lossy()\n1372\t            .replace(['/', '\\\\'], \"-\")\n1373\t            .to_string();\n1374\t        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n1375\t        fs::create_dir_all(&project_dir).unwrap();\n1376\t        fs::write(\n1377\t            project_dir.join(\"session.jsonl\"),\n1378\t            r#\"{\"type\":\"user\",\"message\":{\"content\":\"x\"}}\"#,\n1379\t        )\n1380\t        .unwrap();\n1381\t\n1382\t        // One workspace with no transcript directory\n1383\t        let ws_missing = temp_dir.path().join(\"home\").join(\"coding\").join(\"missing\");\n1384\t\n1385\t        let results = super::discover_workspaces(\n1386\t            &[ws_good.as_path(), ws_missing.as_path()],\n1387\t            Some(&claude_dir),\n1388\t            10,\n1389\t            100,\n1390\t            None,\n1391\t        )\n1392\t        .unwrap();\n1393\t\n1394\t        assert_eq!(results.len(), 1);\n1395\t        assert_eq!(results[0].workspace.as_deref(), Some(ws_good.as_path()));\n1396\t    }\n1397\t}\n1398\t"}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"1924fe4d-6fb8-4583-bd92-ca831f924c21","timestamp":"2026-05-14T05:07:03.745Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/NEEDLE/src/transcript/mod.rs","content":"//! Transcript discovery and parsing for reflect strand.\n//!\n//! This module provides functionality to discover and parse Claude Code session\n//! transcripts from `.claude/projects/` directories. It extracts key events\n//! (assistant actions, tool calls, outcomes) from JSONL transcript files.\n//!\n//! ## Transcript Location\n//!\n//! Session transcripts are stored in:\n//! ```text\n//! ~/.claude/projects/<project-name>/<session-id>.jsonl\n//! ```\n//!\n//! Where `<project-name>` is the workspace path with slashes replaced by dashes\n//! (e.g., `/home/coding/NEEDLE` → `-home-coding-NEEDLE`).\n//!\n//! ## Discovery Strategy\n//!\n//! 1. Given a workspace path, derive the Claude project name\n//! 2. Scan `~/.claude/projects/<project-name>/` for JSONL files\n//! 3. Filter by recency (last N sessions or time-based cutoff)\n//! 4. Parse each JSONL file to extract structured events\n\nuse std::path::{Path, PathBuf};\n\nuse anyhow::{Context, Result};\nuse chrono::{DateTime, Utc};\nuse serde::{Deserialize, Serialize};\n\nuse crate::learning::DecisionContext;\nuse crate::types::BeadId;\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Transcript entry types (parsed from JSONL)\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// A single JSONL entry from a Claude Code transcript.\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\nenum TranscriptEntry {\n    /// User message (task description, context).\n    #[serde(rename = \"user\")]\n    User { message: UserMessage },\n    /// Assistant response (text, tool calls).\n    #[serde(rename = \"assistant\")]\n    Assistant { message: AssistantMessage },\n    /// Tool result (outcome of a tool_use).\n    #[serde(rename = \"tool_result\")]\n    ToolResult {\n        tool_use_id: String,\n        content: String,\n        is_error: Option<bool>,\n    },\n    /// Attachment (deferred tools, companion intro).\n    #[serde(rename = \"attachment\")]\n    Attachment { attachment: Attachment },\n    /// System event (init, status, hooks).\n    #[serde(rename = \"system\")]\n    System { subtype: String, session_id: String },\n    /// Stream event (content blocks, deltas).\n    #[serde(rename = \"stream_event\")]\n    StreamEvent {\n        event: StreamEvent,\n        session_id: String,\n    },\n    /// Queue operation (enqueue/dequeue).\n    #[serde(rename = \"queue-operation\")]\n    QueueOperation {\n        operation: String,\n        timestamp: String,\n    },\n}\n\n/// User message content.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct UserMessage {\n    content: UserContent,\n}\n\n/// User message content — either a plain task description string or an array of\n/// content blocks (tool results wrapped in user turns).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(untagged)]\nenum UserContent {\n    /// Plain text task description (first user turn).\n    Text(String),\n    /// Array of content blocks (subsequent user turns with tool results).\n    Blocks(Vec<UserContentItem>),\n}\n\n/// A single item in a user message content array.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct UserContentItem {\n    #[serde(rename = \"type\")]\n    block_type: String,\n    #[serde(default)]\n    tool_use_id: Option<String>,\n    #[serde(default)]\n    content: Option<String>,\n    #[serde(default)]\n    is_error: Option<bool>,\n}\n\n/// Assistant message content.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct AssistantMessage {\n    content: Vec<ContentBlock>,\n    stop_reason: Option<String>,\n}\n\n/// Content block (text, thinking, tool use).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\nenum ContentBlock {\n    #[serde(rename = \"text\")]\n    Text { text: String },\n    #[serde(rename = \"thinking\")]\n    Thinking { thinking: String },\n    #[serde(rename = \"tool_use\")]\n    ToolUse {\n        id: String,\n        name: String,\n        input: serde_json::Value,\n    },\n}\n\n/// Attachment metadata.\n#[derive(Debug, Clone, Deserialize, Serialize)]\nstruct Attachment {\n    #[serde(rename = \"type\")]\n    attachment_type: String,\n}\n\n/// Stream event (content block updates).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\n#[allow(clippy::enum_variant_names)]\nenum StreamEvent {\n    #[serde(rename = \"content_block_start\")]\n    ContentBlockStart {\n        index: usize,\n        content_block: ContentBlock,\n    },\n    #[serde(rename = \"content_block_delta\")]\n    ContentBlockDelta { index: usize, delta: ContentDelta },\n    #[serde(rename = \"content_block_stop\")]\n    ContentBlockStop { index: usize },\n}\n\n/// Content delta (incremental update).\n#[derive(Debug, Clone, Deserialize, Serialize)]\n#[serde(tag = \"type\")]\nenum ContentDelta {\n    #[serde(rename = \"text_delta\")]\n    TextDelta { text: String },\n    #[serde(rename = \"thinking_delta\")]\n    ThinkingDelta { thinking: String },\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Parsed transcript summary\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// A parsed and summarized transcript.\n#[derive(Debug, Clone)]\npub struct ParsedTranscript {\n    /// Session ID (filename without .jsonl).\n    pub session_id: String,\n    /// File modification time (when session was last updated).\n    pub modified_at: DateTime<Utc>,\n    /// User task description (from first user message).\n    pub task_description: Option<String>,\n    /// Assistant actions extracted from the transcript.\n    pub actions: Vec<TranscriptAction>,\n    /// Action-outcome pairs (tool_use → tool_result sequences).\n    pub action_outcomes: Vec<ActionOutcome>,\n    /// Bead ID if referenced in the task context.\n    pub bead_id: Option<BeadId>,\n    /// Workspace path this transcript belongs to (set during multi-workspace discovery).\n    pub workspace: Option<PathBuf>,\n}\n\n/// An action extracted from a transcript (tool call or text output).\n#[derive(Debug, Clone)]\npub struct TranscriptAction {\n    /// Action type (tool call or text).\n    pub action_type: ActionType,\n    /// Tool name (if tool use).\n    pub tool_name: Option<String>,\n    /// Action description (text output or tool input summary).\n    pub description: String,\n}\n\n/// An action-outcome pair extracted from a transcript.\n///\n/// Represents a tool_use action and its corresponding tool_result,\n/// capturing the full cause-effect relationship.\n#[derive(Debug, Clone)]\npub struct ActionOutcome {\n    /// Tool name (e.g., \"Read\", \"Bash\", \"Grep\").\n    pub tool_name: String,\n    /// Tool input (file path, command, pattern, etc.).\n    pub input: String,\n    /// Tool result output (success content, error message, etc.).\n    pub output: String,\n    /// Whether the result indicates an error.\n    pub is_error: bool,\n    /// Action description (human-readable summary).\n    pub action_description: String,\n    /// Outcome description (human-readable summary).\n    pub outcome_description: String,\n}\n\nimpl ActionOutcome {\n    /// Create a new action-outcome pair.\n    pub fn new(tool_name: String, input: String, output: String, is_error: bool) -> Self {\n        let action_description = Self::format_action(&tool_name, &input);\n        let outcome_description = Self::format_outcome(&tool_name, &output, is_error);\n\n        ActionOutcome {\n            tool_name,\n            input,\n            output,\n            is_error,\n            action_description,\n            outcome_description,\n        }\n    }\n\n    /// Format the action as a human-readable description.\n    fn format_action(tool_name: &str, input: &str) -> String {\n        match tool_name {\n            \"Read\" | \"Edit\" | \"Write\" => {\n                format!(\"{}: {}\", tool_name, truncate_path(input))\n            }\n            \"Bash\" => format!(\"bash: {}\", truncate_cmd(input)),\n            \"Grep\" => format!(\"grep: {}\", truncate_pattern(input)),\n            _ => format!(\"{}: {}\", tool_name, truncate_text(input, 100)),\n        }\n    }\n\n    /// Format the outcome as a human-readable description.\n    fn format_outcome(tool_name: &str, output: &str, is_error: bool) -> String {\n        if is_error {\n            return format!(\"Error: {}\", truncate_text(output, 200));\n        }\n\n        match tool_name {\n            \"Read\" => format!(\"File read successfully ({} bytes)\", output.len()),\n            \"Write\" | \"Edit\" => \"File written successfully\".to_string(),\n            \"Bash\" => format!(\"Exit: {}\", truncate_text(output.trim(), 100)),\n            \"Grep\" => format!(\"Found {} matches\", output.lines().count()),\n            _ => truncate_text(output, 200),\n        }\n    }\n\n    /// Convert to a TranscriptPattern for learning extraction.\n    pub fn to_pattern(\n        &self,\n        session_id: &str,\n        timestamp: DateTime<Utc>,\n    ) -> crate::learning::TranscriptPattern {\n        crate::learning::TranscriptPattern::new(\n            self.tool_name.clone(),\n            self.input.clone(),\n            self.outcome_description.clone(),\n            session_id.to_string(),\n            timestamp,\n        )\n    }\n}\n\n/// Truncate a path to at most N characters, showing end if truncated.\nfn truncate_path(path: &str) -> String {\n    if path.len() <= 80 {\n        path.to_string()\n    } else {\n        format!(\"...{}\", &path[path.len() - 77..])\n    }\n}\n\n/// Truncate a command to at most N characters.\nfn truncate_cmd(cmd: &str) -> String {\n    truncate_text(cmd, 100)\n}\n\n/// Truncate a grep pattern to at most N characters.\nfn truncate_pattern(pattern: &str) -> String {\n    truncate_text(pattern, 60)\n}\n\n/// Truncate text to at most N characters with ellipsis.\nfn truncate_text(text: &str, max_chars: usize) -> String {\n    if text.len() <= max_chars {\n        text.to_string()\n    } else {\n        format!(\"{}...\", &text[..max_chars - 3])\n    }\n}\n\n/// Type of action performed by the assistant.\n#[derive(Debug, Clone, PartialEq, Eq)]\npub enum ActionType {\n    /// Text output to user.\n    Text,\n    /// Tool use (Read, Write, Bash, etc.).\n    ToolUse,\n    /// Thinking/reasoning block.\n    Thinking,\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Transcript discovery\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Discovers and parses Claude Code session transcripts for a workspace.\npub struct TranscriptDiscovery {\n    /// Path to `.claude/projects/` directory.\n    claude_projects_dir: PathBuf,\n    /// Workspace path (used to derive project name).\n    workspace: PathBuf,\n    /// Maximum number of recent sessions to return.\n    max_sessions: usize,\n    /// Recency cutoff: only sessions modified after this time.\n    recency_cutoff: Option<DateTime<Utc>>,\n}\n\nimpl TranscriptDiscovery {\n    /// Create a new transcript discovery for a workspace.\n    ///\n    /// `workspace` is the path to the workspace root (e.g., `/home/coding/NEEDLE`).\n    /// `claude_dir` is the path to the `.claude` directory (defaults to `~/.claude`).\n    /// `max_sessions` limits the number of sessions returned (sorted by recency).\n    pub fn new(workspace: &Path, claude_dir: Option<&Path>, max_sessions: usize) -> Self {\n        let home_claude = PathBuf::from(std::env::var(\"HOME\").unwrap()).join(\".claude\");\n        let claude_root = claude_dir.unwrap_or(&home_claude);\n        let claude_projects_dir = claude_root.join(\"projects\");\n\n        TranscriptDiscovery {\n            claude_projects_dir,\n            workspace: workspace.to_path_buf(),\n            max_sessions,\n            recency_cutoff: None,\n        }\n    }\n\n    /// Set a recency cutoff (only sessions modified after this time).\n    pub fn with_recency_cutoff(mut self, cutoff: DateTime<Utc>) -> Self {\n        self.recency_cutoff = Some(cutoff);\n        self\n    }\n\n    /// Discover all recent session transcripts for this workspace.\n    ///\n    /// Returns transcripts sorted by modification time (most recent first).\n    pub fn discover(&self) -> Result<Vec<ParsedTranscript>> {\n        let project_name = self.derive_project_name();\n        let project_dir = self.claude_projects_dir.join(&project_name);\n\n        if !project_dir.exists() {\n            tracing::debug!(\n                project_dir = %project_dir.display(),\n                \"transcript discovery: project directory not found\"\n            );\n            return Ok(Vec::new());\n        }\n\n        let mut transcripts = Vec::new();\n\n        // Iterate through JSONL files in the project directory\n        for entry in std::fs::read_dir(&project_dir).with_context(|| {\n            format!(\n                \"failed to read project directory: {}\",\n                project_dir.display()\n            )\n        })? {\n            let entry = match entry {\n                Ok(e) => e,\n                Err(_) => continue,\n            };\n\n            let path = entry.path();\n\n            // Only process .jsonl files\n            if path.extension().and_then(|s| s.to_str()) != Some(\"jsonl\") {\n                continue;\n            }\n\n            // Get file metadata\n            let metadata = match std::fs::metadata(&path) {\n                Ok(m) => m,\n                Err(_) => continue,\n            };\n\n            // Get modification time\n            let modified_at: DateTime<Utc> = metadata\n                .modified()\n                .ok()\n                .map(DateTime::<Utc>::from)\n                .unwrap_or_else(Utc::now);\n\n            // Check recency cutoff\n            if let Some(cutoff) = self.recency_cutoff {\n                if modified_at < cutoff {\n                    continue;\n                }\n            }\n\n            // Parse the transcript\n            match self.parse_transcript(&path, modified_at) {\n                Ok(transcript) => transcripts.push(transcript),\n                Err(e) => {\n                    tracing::warn!(\n                        path = %path.display(),\n                        error = %e,\n                        \"failed to parse transcript\"\n                    );\n                }\n            }\n        }\n\n        // Sort by modification time (most recent first)\n        transcripts.sort_by_key(|b| std::cmp::Reverse(b.modified_at));\n\n        // Limit to max_sessions\n        transcripts.truncate(self.max_sessions);\n\n        tracing::debug!(\n            project_name,\n            count = transcripts.len(),\n            \"transcript discovery: found transcripts\"\n        );\n\n        Ok(transcripts)\n    }\n\n    /// Derive the Claude project name from the workspace path.\n    ///\n    /// `/home/coding/NEEDLE` → `-home-coding-NEEDLE`\n    fn derive_project_name(&self) -> String {\n        self.workspace\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string()\n    }\n\n    /// Parse a single transcript file.\n    fn parse_transcript(\n        &self,\n        path: &Path,\n        modified_at: DateTime<Utc>,\n    ) -> Result<ParsedTranscript> {\n        let session_id = path\n            .file_stem()\n            .and_then(|s| s.to_str())\n            .unwrap_or(\"unknown\")\n            .to_string();\n\n        let content = std::fs::read_to_string(path)\n            .with_context(|| format!(\"failed to read transcript: {}\", path.display()))?;\n\n        let mut task_description = None;\n        let mut actions = Vec::new();\n        let mut action_outcomes = Vec::new();\n        let mut bead_id = None;\n\n        // Track pending tool_use actions for pairing with tool_result\n        let mut pending_tool_uses: std::collections::HashMap<String, (String, String)> =\n            std::collections::HashMap::new();\n\n        // Parse each JSONL line\n        for (line_no, line) in content.lines().enumerate() {\n            let line = line.trim();\n            if line.is_empty() {\n                continue;\n            }\n\n            match serde_json::from_str::<TranscriptEntry>(line) {\n                Ok(entry) => {\n                    // Handle user messages: task description (text) or tool results (blocks)\n                    if let TranscriptEntry::User { ref message } = entry {\n                        match &message.content {\n                            UserContent::Text(text) => {\n                                if task_description.is_none() {\n                                    task_description =\n                                        Some(self.extract_task_bead_id(text, &mut bead_id));\n                                }\n                            }\n                            UserContent::Blocks(blocks) => {\n                                for block in blocks {\n                                    if block.block_type == \"tool_result\" {\n                                        if let Some(ref tool_use_id) = block.tool_use_id {\n                                            if let Some((tool_name, input)) =\n                                                pending_tool_uses.remove(tool_use_id)\n                                            {\n                                                let outcome = ActionOutcome::new(\n                                                    tool_name,\n                                                    input,\n                                                    block.content.clone().unwrap_or_default(),\n                                                    block.is_error.unwrap_or(false),\n                                                );\n                                                action_outcomes.push(outcome);\n                                            }\n                                        }\n                                    }\n                                }\n                            }\n                        }\n                    }\n\n                    // Extract actions from assistant messages\n                    if let TranscriptEntry::Assistant { ref message } = entry {\n                        for block in &message.content {\n                            match block {\n                                ContentBlock::Text { text } => {\n                                    if !text.trim().is_empty() {\n                                        actions.push(TranscriptAction {\n                                            action_type: ActionType::Text,\n                                            tool_name: None,\n                                            description: text.chars().take(200).collect(),\n                                        });\n                                    }\n                                }\n                                ContentBlock::ToolUse { id, name, input } => {\n                                    actions.push(TranscriptAction {\n                                        action_type: ActionType::ToolUse,\n                                        tool_name: Some(name.clone()),\n                                        description: self.format_tool_input(name, input),\n                                    });\n\n                                    // Track pending tool_use for pairing with tool_result\n                                    let input_str = serde_json::to_string(input)\n                                        .unwrap_or_else(|_| input.to_string());\n                                    pending_tool_uses.insert(id.clone(), (name.clone(), input_str));\n                                }\n                                ContentBlock::Thinking { thinking } => {\n                                    if !thinking.trim().is_empty() {\n                                        actions.push(TranscriptAction {\n                                            action_type: ActionType::Thinking,\n                                            tool_name: None,\n                                            description: thinking.chars().take(200).collect(),\n                                        });\n                                    }\n                                }\n                            }\n                        }\n                    }\n\n                    // Extract tool_result and pair with pending tool_use\n                    if let TranscriptEntry::ToolResult {\n                        tool_use_id,\n                        content,\n                        is_error,\n                    } = entry\n                    {\n                        if let Some((tool_name, input)) = pending_tool_uses.remove(&tool_use_id) {\n                            let outcome = ActionOutcome::new(\n                                tool_name,\n                                input,\n                                content,\n                                is_error.unwrap_or(false),\n                            );\n                            action_outcomes.push(outcome);\n                        } else {\n                            tracing::trace!(\n                                tool_use_id = %tool_use_id,\n                                \"tool_result without matching tool_use\"\n                            );\n                        }\n                    }\n                }\n                Err(e) => {\n                    tracing::trace!(\n                        path = %path.display(),\n                        line = line_no + 1,\n                        error = %e,\n                        \"failed to parse JSONL line\"\n                    );\n                }\n            }\n        }\n\n        Ok(ParsedTranscript {\n            session_id,\n            modified_at,\n            task_description,\n            actions,\n            action_outcomes,\n            bead_id,\n            workspace: Some(self.workspace.clone()),\n        })\n    }\n\n    /// Extract task description and parse bead ID from user message.\n    fn extract_task_bead_id(&self, content: &str, bead_id: &mut Option<BeadId>) -> String {\n        // Extract bead ID if present (format: \"Bead ID: needle-xxx\")\n        if let Some(idx) = content.find(\"Bead ID:\") {\n            let after = &content[idx + \"Bead ID:\".len()..];\n            let id = after\n                .split_whitespace()\n                .next()\n                .filter(|s| s.starts_with(\"needle-\"))\n                .map(|s| s.trim().to_string());\n            *bead_id = id.map(BeadId::from);\n        }\n\n        // Return first 500 chars as task description\n        content.chars().take(500).collect()\n    }\n\n    /// Format tool input as a short description.\n    fn format_tool_input(&self, name: &str, input: &serde_json::Value) -> String {\n        match name {\n            \"Read\" | \"Edit\" | \"Write\" => {\n                if let Some(path) = input.get(\"file_path\").and_then(|v| v.as_str()) {\n                    format!(\"{}: {}\", name, path)\n                } else if let Some(path) = input.get(\"path\").and_then(|v| v.as_str()) {\n                    format!(\"{}: {}\", name, path)\n                } else {\n                    name.to_string()\n                }\n            }\n            \"Bash\" => input\n                .get(\"command\")\n                .and_then(|v| v.as_str())\n                .map(|cmd| format!(\"bash: {}\", cmd.chars().take(100).collect::<String>()))\n                .unwrap_or_else(|| name.to_string()),\n            \"Grep\" => input\n                .get(\"pattern\")\n                .and_then(|v| v.as_str())\n                .map(|p| format!(\"grep: {}\", p))\n                .unwrap_or_else(|| name.to_string()),\n            _ => name.to_string(),\n        }\n    }\n}\n\n/// Discover recent transcripts across multiple workspaces.\n///\n/// Combines results from all workspaces, sorted by modification time (most recent\n/// first), and truncated to `max_total`. Each returned transcript has its\n/// `workspace` field set to the source workspace path.\n///\n/// Workspaces that have no transcript directory are silently skipped.\npub fn discover_workspaces(\n    workspaces: &[&Path],\n    claude_dir: Option<&Path>,\n    max_per_workspace: usize,\n    max_total: usize,\n    recency_cutoff: Option<DateTime<Utc>>,\n) -> Result<Vec<ParsedTranscript>> {\n    let mut all = Vec::new();\n\n    for &workspace in workspaces {\n        let mut d = TranscriptDiscovery::new(workspace, claude_dir, max_per_workspace);\n        if let Some(cutoff) = recency_cutoff {\n            d = d.with_recency_cutoff(cutoff);\n        }\n\n        match d.discover() {\n            Ok(transcripts) => all.extend(transcripts),\n            Err(e) => {\n                tracing::warn!(\n                    workspace = %workspace.display(),\n                    error = %e,\n                    \"transcript discovery: skipping workspace due to error\"\n                );\n            }\n        }\n    }\n\n    // Sort by modification time (most recent first) and cap\n    all.sort_by_key(|t| std::cmp::Reverse(t.modified_at));\n    all.truncate(max_total);\n\n    Ok(all)\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Decision Detection\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Decision patterns that indicate an agent chose between alternatives.\n///\n/// These patterns are searched for in thinking blocks and assistant text\n/// to identify decision points worth preserving as ADR-style learnings.\nconst DECISION_PATTERNS: &[&str] = &[\n    \"chose\",\n    \"decided to\",\n    \"opted for\",\n    \"selected\",\n    \"picked\",\n    \"went with\",\n    \"choosing\",\n    \"decision\",\n    \"instead of\",\n    \"rather than\",\n    \"over\",\n    \"preference\",\n    \"prefer\",\n];\n\n/// Rationale indicator patterns that follow a decision.\n///\n/// These patterns help extract the \"why\" behind a decision.\nconst RATIONALE_PATTERNS: &[&str] = &[\n    \"because\",\n    \"since\",\n    \"as\",\n    \"due to\",\n    \"given that\",\n    \"considering\",\n    \"reason\",\n    \"rationale\",\n    \"why\",\n    \"motivation\",\n    \"justification\",\n];\n\n/// A detected decision with its context and rationale.\n#[derive(Debug, Clone)]\npub struct DetectedDecision {\n    /// The decision that was made.\n    pub decision: String,\n    /// Context/problem space.\n    pub context: String,\n    /// Rationale (why this choice).\n    pub rationale: String,\n    /// Alternatives mentioned (if any).\n    pub alternatives: Vec<String>,\n    /// Confidence that this is a genuine decision (0.0-1.0).\n    pub confidence: f32,\n}\n\n/// Detect decisions in a parsed transcript.\n///\n/// Analyzes thinking blocks and assistant text for decision patterns,\n/// extracting the decision, context, and rationale.\npub fn detect_decisions(transcript: &ParsedTranscript) -> Vec<DetectedDecision> {\n    let mut decisions = Vec::new();\n\n    // Group consecutive thinking blocks for better context\n    let mut thinking_blocks = Vec::new();\n    for action in &transcript.actions {\n        if action.action_type == ActionType::Thinking {\n            thinking_blocks.push(action.description.clone());\n        }\n    }\n\n    // Analyze each thinking block for decision patterns\n    for thinking in &thinking_blocks {\n        if let Some(decision) = analyze_thinking_for_decision(thinking) {\n            decisions.push(decision);\n        }\n    }\n\n    // Also analyze assistant text for decisions (lower confidence)\n    for action in &transcript.actions {\n        if action.action_type == ActionType::Text {\n            if let Some(decision) = analyze_text_for_decision(&action.description) {\n                decisions.push(decision);\n            }\n        }\n    }\n\n    decisions\n}\n\n/// Analyze a thinking block for decision patterns.\nfn analyze_thinking_for_decision(thinking: &str) -> Option<DetectedDecision> {\n    let thinking_lower = thinking.to_lowercase();\n\n    // Check if any decision pattern is present\n    let decision_match = DECISION_PATTERNS\n        .iter()\n        .find(|p| thinking_lower.contains(*p));\n\n    let _ = decision_match?;\n\n    // Extract the decision sentence(s)\n    let decision = extract_decision_sentence(thinking)?;\n\n    // Extract context (sentence(s) before the decision)\n    let context = extract_context_before(thinking, &decision)?;\n\n    // Extract rationale (look for \"because\", \"since\", etc. after decision)\n    let rationale = extract_rationale_after(thinking, &decision).unwrap_or_default();\n\n    // Extract alternatives (look for \"instead of X\", \"over Y\", etc.)\n    let alternatives = extract_alternatives(thinking);\n\n    // Calculate confidence based on signal strength\n    let confidence = calculate_decision_confidence(&decision, &rationale, &alternatives);\n\n    if confidence < 0.3 {\n        return None;\n    }\n\n    Some(DetectedDecision {\n        decision,\n        context,\n        rationale,\n        alternatives,\n        confidence,\n    })\n}\n\n/// Analyze assistant text for decision patterns (lower confidence).\nfn analyze_text_for_decision(text: &str) -> Option<DetectedDecision> {\n    let text_lower = text.to_lowercase();\n\n    // Check if any decision pattern is present\n    let decision_match = DECISION_PATTERNS.iter().find(|p| text_lower.contains(*p));\n\n    let _ = decision_match?;\n\n    // Extract the decision (first sentence with decision pattern)\n    let decision = extract_decision_sentence(text)?;\n\n    // For text, context is limited (use preceding sentence if available)\n    let context = extract_context_before(text, &decision).unwrap_or_default();\n\n    // Extract rationale\n    let rationale = extract_rationale_after(text, &decision).unwrap_or_default();\n\n    // Extract alternatives\n    let alternatives = extract_alternatives(text);\n\n    // Lower confidence for text vs thinking blocks\n    let confidence = calculate_decision_confidence(&decision, &rationale, &alternatives) * 0.7;\n\n    if confidence < 0.3 {\n        return None;\n    }\n\n    Some(DetectedDecision {\n        decision,\n        context,\n        rationale,\n        alternatives,\n        confidence,\n    })\n}\n\n/// Extract the sentence containing the decision.\nfn extract_decision_sentence(text: &str) -> Option<String> {\n    // Split into sentences (naive: split on periods)\n    let sentences: Vec<&str> = text.split('.').collect();\n\n    for sentence in sentences {\n        let s = sentence.trim();\n        let s_lower = s.to_lowercase();\n        if DECISION_PATTERNS.iter().any(|p| s_lower.contains(p)) {\n            return Some(s.to_string());\n        }\n    }\n\n    None\n}\n\n/// Extract context (text before the decision sentence).\nfn extract_context_before(text: &str, decision: &str) -> Option<String> {\n    let idx = text.find(decision)?;\n    if idx == 0 {\n        return None;\n    }\n\n    let before = &text[..idx];\n    // Take last 2 sentences as context (200 chars max)\n    let context: String = before\n        .rsplit('.')\n        .take(2)\n        .collect::<Vec<_>>()\n        .into_iter()\n        .rev()\n        .collect::<Vec<_>>()\n        .join(\".\")\n        .chars()\n        .rev()\n        .take(200)\n        .collect::<Vec<char>>()\n        .into_iter()\n        .rev()\n        .collect();\n\n    if context.trim().is_empty() {\n        None\n    } else {\n        Some(context.trim().to_string())\n    }\n}\n\n/// Extract rationale (text after decision with rationale indicators).\nfn extract_rationale_after(text: &str, decision: &str) -> Option<String> {\n    let decision_end = text.find(decision)? + decision.len();\n    let after = text.get(decision_end..)?;\n\n    // Look for rationale pattern in next 300 chars\n    let search_window: String = after.chars().take(300).collect();\n    let search_lower = search_window.to_lowercase();\n\n    for pattern in RATIONALE_PATTERNS {\n        if let Some(idx) = search_lower.find(pattern) {\n            // Extract from pattern to next period or end\n            let rationale_start = idx + pattern.len();\n            let rationale_end = search_window[rationale_start..]\n                .find('.')\n                .unwrap_or(search_window[rationale_start..].len());\n\n            let rationale = search_window[rationale_start..rationale_start + rationale_end]\n                .trim()\n                .to_string();\n            if !rationale.is_empty() {\n                return Some(rationale);\n            }\n        }\n    }\n\n    None\n}\n\n/// Extract alternatives mentioned in the text.\nfn extract_alternatives(text: &str) -> Vec<String> {\n    let mut alternatives = Vec::new();\n    let text_lower = text.to_lowercase();\n\n    // Look for \"instead of X\", \"over Y\", \"not Z\"\n    let patterns = [\n        (\"instead of\", \"instead of\"),\n        (\"over \", \"over\"),\n        (\"not \", \"not\"),\n    ];\n\n    for (marker, _name) in patterns {\n        let mut search_start = 0;\n        while let Some(idx) = text_lower[search_start..].find(marker) {\n            let absolute_idx = search_start + idx;\n            let after_marker = absolute_idx + marker.len();\n\n            // Extract next few words as alternative (up to 50 chars)\n            let alt_text: String = text\n                .get(after_marker..)\n                .map(|s| s.chars().take(50).collect::<String>())\n                .unwrap_or_default();\n\n            // Extract first phrase (up to comma, period, or 5 words)\n            let alt: String = alt_text\n                .split([',', '.'])\n                .next()\n                .unwrap_or(\"\")\n                .split_whitespace()\n                .take(5)\n                .collect::<Vec<_>>()\n                .join(\" \");\n\n            if !alt.is_empty() && alt.len() > 2 {\n                alternatives.push(alt);\n            }\n\n            search_start = after_marker;\n        }\n    }\n\n    // Dedupe and limit\n    alternatives.sort();\n    alternatives.dedup();\n    alternatives.truncate(3);\n    alternatives\n}\n\n/// Calculate confidence score for a detected decision.\nfn calculate_decision_confidence(decision: &str, rationale: &str, alternatives: &[String]) -> f32 {\n    let mut confidence: f32 = 0.3; // Base confidence\n\n    // Strong decision phrases\n    if decision.to_lowercase().contains(\"decided to\")\n        || decision.to_lowercase().contains(\"chose\")\n        || decision.to_lowercase().contains(\"opted for\")\n    {\n        confidence += 0.3;\n    }\n\n    // Has rationale\n    if !rationale.is_empty() {\n        confidence += 0.2;\n    }\n\n    // Has alternatives (shows comparison was made)\n    if !alternatives.is_empty() {\n        confidence += 0.1;\n    }\n\n    // Decision is specific (mentions concrete action)\n    if decision.len() > 15 && decision.len() < 200 {\n        confidence += 0.1;\n    }\n\n    confidence.min(1.0_f32)\n}\n\n/// Convert a detected decision to a DecisionContext for learning entries.\nimpl From<DetectedDecision> for DecisionContext {\n    fn from(detected: DetectedDecision) -> Self {\n        DecisionContext {\n            decision: detected.decision,\n            context: detected.context,\n            rationale: detected.rationale,\n            alternatives: detected.alternatives,\n        }\n    }\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Tests\n// ──────────────────────────────────────────────────────────────────────────────\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use std::fs;\n    use std::io::Write;\n    use tempfile::TempDir;\n\n    #[test]\n    fn derive_project_name_unix() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n        // The full path is converted, including the temp directory prefix\n        let result = discovery.derive_project_name();\n        // Verify it ends with the expected suffix (temp dir prefix varies)\n        assert!(result.ends_with(\"-home-coding-NEEDLE\"));\n        // Absolute paths always produce a leading dash (slashes → dashes)\n        assert!(result.starts_with('-'));\n    }\n\n    #[test]\n    fn derive_project_name_absolute() {\n        let workspace = PathBuf::from(\"/home/coding/NEEDLE\");\n        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n        assert_eq!(discovery.derive_project_name(), \"-home-coding-NEEDLE\");\n    }\n\n    #[test]\n    fn discovery_returns_empty_when_no_project_dir() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"nonexistent\");\n        let claude_dir = temp_dir.path().join(\".claude\");\n        fs::create_dir_all(&claude_dir).unwrap();\n\n        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n        let result = discovery.discover().unwrap();\n        assert!(result.is_empty());\n    }\n\n    #[test]\n    fn discovery_parses_valid_transcript() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        // Create project directory using the same convention as derive_project_name()\n        let project_name = workspace\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string();\n        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n        fs::create_dir_all(&project_dir).unwrap();\n\n        // Create a test transcript with tool_use and tool_result\n        let transcript_path = project_dir.join(\"test-session.jsonl\");\n        let mut file = fs::File::create(&transcript_path).unwrap();\n\n        writeln!(file, \"{{\\\"type\\\":\\\"user\\\",\\\"message\\\":{{\\\"content\\\":\\\"## Task\\\\n\\\\nFix the bug\\\\n\\\\nBead ID: needle-test123\\\"}}}}\").unwrap();\n        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"text\",\"text\":\"I'll fix it\"}}], \"stop_reason\":\"end_turn\"}}}}\"#).unwrap();\n        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"tool_use\",\"id\":\"1\",\"name\":\"Read\",\"input\":{{\"file_path\":\"/tmp/test.txt\"}}}}]}}}}\"#).unwrap();\n        writeln!(file, r#\"{{\"type\":\"tool_result\",\"tool_use_id\":\"1\",\"content\":\"file content here\",\"is_error\":false}}\"#).unwrap();\n\n        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n        let results = discovery.discover().unwrap();\n\n        assert_eq!(results.len(), 1);\n        let transcript = &results[0];\n        assert_eq!(transcript.session_id, \"test-session\");\n        assert!(transcript.task_description.is_some());\n        assert_eq!(transcript.bead_id.as_deref(), Some(\"needle-test123\"));\n        assert_eq!(transcript.actions.len(), 2);\n        assert_eq!(transcript.actions[0].action_type, ActionType::Text);\n        assert_eq!(transcript.actions[1].action_type, ActionType::ToolUse);\n        assert_eq!(transcript.actions[1].tool_name.as_deref(), Some(\"Read\"));\n        // Check action-outcome pairs\n        assert_eq!(transcript.action_outcomes.len(), 1);\n        assert_eq!(transcript.action_outcomes[0].tool_name, \"Read\");\n        assert!(!transcript.action_outcomes[0].is_error);\n        assert_eq!(transcript.action_outcomes[0].output, \"file content here\");\n    }\n\n    #[test]\n    fn discovery_parses_user_wrapped_tool_results() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        let project_name = workspace\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string();\n        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n        fs::create_dir_all(&project_dir).unwrap();\n\n        // Write a transcript in the real Claude Code format:\n        // tool_result entries come as user messages with array content\n        let transcript_path = project_dir.join(\"real-format-session.jsonl\");\n        let mut file = fs::File::create(&transcript_path).unwrap();\n\n        // First user message: task description (string content)\n        writeln!(file, \"{{\\\"type\\\":\\\"user\\\",\\\"message\\\":{{\\\"content\\\":\\\"Fix the bug\\\"}}}}\").unwrap();\n        // Assistant with tool_use\n        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"tool_use\",\"id\":\"call_abc\",\"name\":\"Read\",\"input\":{{\"file_path\":\"/tmp/foo.rs\"}}}}]}}}}\"#).unwrap();\n        // User message with array content wrapping the tool_result (real format)\n        writeln!(file, r#\"{{\"type\":\"user\",\"message\":{{\"content\":[{{\"type\":\"tool_result\",\"tool_use_id\":\"call_abc\",\"content\":\"line 1\\nline 2\",\"is_error\":false}}]}}}}\"#).unwrap();\n\n        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n        let results = discovery.discover().unwrap();\n\n        assert_eq!(results.len(), 1);\n        let transcript = &results[0];\n        assert_eq!(transcript.task_description.as_deref(), Some(\"Fix the bug\"));\n        // Tool use should be recorded as an action\n        assert!(transcript\n            .actions\n            .iter()\n            .any(|a| a.tool_name.as_deref() == Some(\"Read\")));\n        // Action-outcome pair should be created from the user-wrapped tool_result\n        assert_eq!(transcript.action_outcomes.len(), 1);\n        assert_eq!(transcript.action_outcomes[0].tool_name, \"Read\");\n        assert!(!transcript.action_outcomes[0].is_error);\n        assert_eq!(transcript.action_outcomes[0].output, \"line 1\\nline 2\");\n    }\n\n    #[test]\n    fn discovery_respects_max_sessions() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        // Create project directory using the same convention as derive_project_name()\n        let project_name = workspace\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string();\n        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n        fs::create_dir_all(&project_dir).unwrap();\n\n        // Create 5 transcripts\n        for i in 1..=5 {\n            let path = project_dir.join(format!(\"session-{}.jsonl\", i));\n            fs::write(&path, r#\"{\"type\":\"user\",\"message\":{\"content\":\"test\"}}\"#).unwrap();\n            // Add small delay to ensure different modification times\n            std::thread::sleep(std::time::Duration::from_millis(10));\n        }\n\n        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 3);\n        let results = discovery.discover().unwrap();\n\n        assert_eq!(results.len(), 3);\n    }\n\n    #[test]\n    fn discovery_respects_recency_cutoff() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        // Create project directory using the same convention as derive_project_name()\n        let project_name = workspace\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string();\n        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n        fs::create_dir_all(&project_dir).unwrap();\n\n        // Create a transcript\n        let path = project_dir.join(\"old-session.jsonl\");\n        fs::write(&path, r#\"{\"type\":\"user\",\"message\":{\"content\":\"old\"}}\"#).unwrap();\n\n        // Set recency cutoff to now + 1 hour (future)\n        let future_cutoff = Utc::now() + chrono::Duration::hours(1);\n        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10)\n            .with_recency_cutoff(future_cutoff);\n        let results = discovery.discover().unwrap();\n\n        assert!(results.is_empty());\n    }\n\n    #[test]\n    fn format_tool_input_read() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"test\");\n        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n\n        let input = serde_json::json!({\"file_path\": \"/tmp/test.txt\"});\n        let result = discovery.format_tool_input(\"Read\", &input);\n        assert_eq!(result, \"Read: /tmp/test.txt\");\n    }\n\n    #[test]\n    fn format_tool_input_bash() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"test\");\n        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n\n        let input = serde_json::json!({\"command\": \"cargo test\"});\n        let result = discovery.format_tool_input(\"Bash\", &input);\n        assert_eq!(result, \"bash: cargo test\");\n    }\n\n    #[test]\n    fn extract_task_bead_id() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"test\");\n        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n\n        let mut bead_id = None;\n        let content = \"## Task\\n\\nFix the bug\\n\\nBead ID: needle-abc123\";\n        let desc = discovery.extract_task_bead_id(content, &mut bead_id);\n\n        assert!(desc.contains(\"Fix the bug\"));\n        assert_eq!(bead_id.as_deref(), Some(\"needle-abc123\"));\n    }\n\n    #[test]\n    fn extract_task_without_bead_id() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"test\");\n        let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n\n        let mut bead_id = None;\n        let content = \"## Task\\n\\nJust do something\";\n        let desc = discovery.extract_task_bead_id(content, &mut bead_id);\n\n        assert!(desc.contains(\"Just do something\"));\n        assert!(bead_id.is_none());\n    }\n\n    #[test]\n    fn parsed_transcript_workspace_field_is_set() {\n        let temp_dir = TempDir::new().unwrap();\n        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        let project_name = workspace\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string();\n        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n        fs::create_dir_all(&project_dir).unwrap();\n\n        fs::write(\n            project_dir.join(\"ws-session.jsonl\"),\n            r#\"{\"type\":\"user\",\"message\":{\"content\":\"test\"}}\"#,\n        )\n        .unwrap();\n\n        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n        let results = discovery.discover().unwrap();\n\n        assert_eq!(results.len(), 1);\n        assert_eq!(results[0].workspace.as_deref(), Some(workspace.as_path()));\n    }\n\n    #[test]\n    fn discover_workspaces_combines_multiple() {\n        let temp_dir = TempDir::new().unwrap();\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        // Create two workspaces, each with one transcript\n        let ws_a = temp_dir\n            .path()\n            .join(\"home\")\n            .join(\"coding\")\n            .join(\"project-a\");\n        let ws_b = temp_dir\n            .path()\n            .join(\"home\")\n            .join(\"coding\")\n            .join(\"project-b\");\n\n        for ws in [&ws_a, &ws_b] {\n            let project_name = ws\n                .to_string_lossy()\n                .replace(['/', '\\\\'], \"-\")\n                .to_string();\n            let project_dir = claude_dir.join(\"projects\").join(&project_name);\n            fs::create_dir_all(&project_dir).unwrap();\n            fs::write(\n                project_dir.join(\"session.jsonl\"),\n                r#\"{\"type\":\"user\",\"message\":{\"content\":\"task\"}}\"#,\n            )\n            .unwrap();\n        }\n\n        let results = super::discover_workspaces(\n            &[ws_a.as_path(), ws_b.as_path()],\n            Some(&claude_dir),\n            10,\n            100,\n            None,\n        )\n        .unwrap();\n\n        assert_eq!(results.len(), 2);\n        // Both workspaces should be represented\n        let found_a = results\n            .iter()\n            .any(|t| t.workspace.as_deref() == Some(ws_a.as_path()));\n        let found_b = results\n            .iter()\n            .any(|t| t.workspace.as_deref() == Some(ws_b.as_path()));\n        assert!(found_a, \"workspace A not found in results\");\n        assert!(found_b, \"workspace B not found in results\");\n    }\n\n    #[test]\n    fn discover_workspaces_respects_max_total() {\n        let temp_dir = TempDir::new().unwrap();\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        // Create two workspaces, each with 3 transcripts\n        for proj in [\"proj-x\", \"proj-y\"] {\n            let ws = temp_dir.path().join(\"home\").join(proj);\n            let project_name = ws\n                .to_string_lossy()\n                .replace(['/', '\\\\'], \"-\")\n                .to_string();\n            let project_dir = claude_dir.join(\"projects\").join(&project_name);\n            fs::create_dir_all(&project_dir).unwrap();\n            for i in 1..=3 {\n                fs::write(\n                    project_dir.join(format!(\"session-{}.jsonl\", i)),\n                    r#\"{\"type\":\"user\",\"message\":{\"content\":\"t\"}}\"#,\n                )\n                .unwrap();\n                std::thread::sleep(std::time::Duration::from_millis(5));\n            }\n        }\n\n        let ws_x = temp_dir.path().join(\"home\").join(\"proj-x\");\n        let ws_y = temp_dir.path().join(\"home\").join(\"proj-y\");\n\n        let results = super::discover_workspaces(\n            &[ws_x.as_path(), ws_y.as_path()],\n            Some(&claude_dir),\n            10,\n            4,\n            None,\n        )\n        .unwrap();\n\n        assert_eq!(results.len(), 4);\n    }\n\n    #[test]\n    fn discover_workspaces_skips_missing_workspace() {\n        let temp_dir = TempDir::new().unwrap();\n        let claude_dir = temp_dir.path().join(\".claude\");\n\n        // One valid workspace\n        let ws_good = temp_dir.path().join(\"home\").join(\"coding\").join(\"good\");\n        let project_name = ws_good\n            .to_string_lossy()\n            .replace(['/', '\\\\'], \"-\")\n            .to_string();\n        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n        fs::create_dir_all(&project_dir).unwrap();\n        fs::write(\n            project_dir.join(\"session.jsonl\"),\n            r#\"{\"type\":\"user\",\"message\":{\"content\":\"x\"}}\"#,\n        )\n        .unwrap();\n\n        // One workspace with no transcript directory\n        let ws_missing = temp_dir.path().join(\"home\").join(\"coding\").join(\"missing\");\n\n        let results = super::discover_workspaces(\n            &[ws_good.as_path(), ws_missing.as_path()],\n            Some(&claude_dir),\n            10,\n            100,\n            None,\n        )\n        .unwrap();\n\n        assert_eq!(results.len(), 1);\n        assert_eq!(results[0].workspace.as_deref(), Some(ws_good.as_path()));\n    }\n}\n","numLines":1398,"startLine":1,"totalLines":1398}}}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Ux7oN2Crm679R7rpXjzkug","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DFJajhCsdqhoZFYkffvWFi","name":"Read","input":{"file_path":"/home/coding/NEEDLE/src/strand/reflect.rs","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4021,"cache_read_input_tokens":27161,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4021},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"eb0260f0-e54e-4863-b5f2-1bdc8e891245"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DFJajhCsdqhoZFYkffvWFi","type":"tool_result","content":"1\t//! Reflect strand: meta-analysis and learning consolidation.\n2\t//!\n3\t//! Strand 7 in the waterfall. Runs after all other strands return NoWork.\n4\t//! This is the last productive strategy before giving up — meta-analysis\n5\t//! only runs when there is genuinely nothing else to do.\n6\t//!\n7\t//! KAIROS-inspired four-phase cycle:\n8\t//! 1. **Orient** — read current learnings.md and existing skills, check sizes.\n9\t//! 2. **Gather** — read bead close bodies from issues.jsonl since last\n10\t//!    consolidation; read traces for failed beads.\n11\t//! 3. **Consolidate** — extract retrospective blocks, identify cross-bead\n12\t//!    patterns, merge into learnings.md, deduplicate, resolve contradictions.\n13\t//!    Promote learnings with reinforcement_count ≥ 3 to skill files.\n14\t//! 4. **Prune** — remove entries older than `learning_retention_days` days\n15\t//!    without reinforcement, compress similar entries, enforce `max_learnings`.\n16\t//!\n17\t//! Entry conditions (checked before running):\n18\t//! - `strands.reflect.enabled` is true\n19\t//! - 10+ beads closed since last consolidation (configurable)\n20\t//! - 24+ hours since last consolidation (configurable cooldown)\n21\t//!\n22\t//! Guardrails:\n23\t//! - Max `max_learnings_per_run` new learnings added per run\n24\t//! - Max `max_skills_per_run` skill files created/updated per run\n25\t//! - CLAUDE.md is read-only — never written\n26\t//!\n27\t//! Depends on: `config`, `learning`, `telemetry`, `types`.\n28\t\n29\tuse std::path::{Path, PathBuf};\n30\t\n31\tuse anyhow::{Context, Result};\n32\tuse chrono::{DateTime, Duration, Utc};\n33\tuse serde::{Deserialize, Serialize};\n34\t\n35\tuse crate::bead_store::BeadStore;\n36\tuse crate::claude_md_placement::observations_similar;\n37\tuse crate::config::ReflectConfig;\n38\tuse crate::drift::DriftDetector;\n39\tuse crate::learning::{\n40\t    BeadType, Confidence, GlobalLearningsFile, LearningEntry, LearningsFile, Retrospective,\n41\t};\n42\tuse crate::skill::{render_skill_file, SkillFrontmatter, SkillLibrary};\n43\tuse crate::telemetry::{EventKind, Telemetry};\n44\tuse crate::transcript::{ParsedTranscript, TranscriptDiscovery};\n45\tuse crate::types::{BeadId, StrandError, StrandResult};\n46\t\n47\t// ──────────────────────────────────────────────────────────────────────────────\n48\t// ReflectAgent trait\n49\t// ──────────────────────────────────────────────────────────────────────────────\n50\t\n51\t/// Agent that infers a retrospective from an unstructured bead close body.\n52\t#[async_trait::async_trait]\n53\t#[allow(dead_code)]\n54\tpub trait ReflectAgent: Send + Sync {\n55\t    /// Extract a `Retrospective` from the given bead title and close body.\n56\t    /// Returns `Ok(None)` if no meaningful retrospective can be inferred.\n57\t    async fn extract_retrospective(\n58\t        &self,\n59\t        bead_title: &str,\n60\t        close_body: &str,\n61\t        workspace: &Path,\n62\t    ) -> Result<Option<Retrospective>>;\n63\t}\n64\t\n65\t// ──────────────────────────────────────────────────────────────────────────────\n66\t// Default prompt template\n67\t// ──────────────────────────────────────────────────────────────────────────────\n68\t\n69\t/// Default prompt template for retrospective extraction.\n70\t#[allow(dead_code)]\n71\tconst DEFAULT_EXTRACTION_PROMPT: &str = r#\"You are analyzing a completed software task.\n72\tBased on the title and close body below, write a concise retrospective section.\n73\t\n74\tTitle: {title}\n75\tClose body: {close_body}\n76\t\n77\tWrite ONLY the following markdown block — nothing before or after it:\n78\t\n79\t## Retrospective\n80\t- **What worked:** <approaches that succeeded>\n81\t- **What didn't:** <approaches that failed or were harder than expected, or \"N/A\">\n82\t- **Surprise:** <anything unexpected about the codebase, tooling, or problem, or \"N/A\">\n83\t- **Reusable pattern:** <if this task type recurs, the key pattern to apply>\n84\t\"#;\n85\t\n86\t// ──────────────────────────────────────────────────────────────────────────────\n87\t// CliReflectAgent\n88\t// ──────────────────────────────────────────────────────────────────────────────\n89\t\n90\t/// Production `ReflectAgent` that shells out to a CLI agent (e.g., `claude`).\n91\t///\n92\t/// The agent is invoked with the prompt fed via stdin redirection. 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KAIROS-inspired four-phase cycle:\n//! 1. **Orient** — read current learnings.md and existing skills, check sizes.\n//! 2. **Gather** — read bead close bodies from issues.jsonl since last\n//!    consolidation; read traces for failed beads.\n//! 3. **Consolidate** — extract retrospective blocks, identify cross-bead\n//!    patterns, merge into learnings.md, deduplicate, resolve contradictions.\n//!    Promote learnings with reinforcement_count ≥ 3 to skill files.\n//! 4. **Prune** — remove entries older than `learning_retention_days` days\n//!    without reinforcement, compress similar entries, enforce `max_learnings`.\n//!\n//! Entry conditions (checked before running):\n//! - `strands.reflect.enabled` is true\n//! - 10+ beads closed since last consolidation (configurable)\n//! - 24+ hours since last consolidation (configurable cooldown)\n//!\n//! Guardrails:\n//! - Max `max_learnings_per_run` new learnings added per run\n//! - Max `max_skills_per_run` skill files created/updated per run\n//! - CLAUDE.md is read-only — never written\n//!\n//! Depends on: `config`, `learning`, `telemetry`, `types`.\n\nuse std::path::{Path, PathBuf};\n\nuse anyhow::{Context, Result};\nuse chrono::{DateTime, Duration, Utc};\nuse serde::{Deserialize, Serialize};\n\nuse crate::bead_store::BeadStore;\nuse crate::claude_md_placement::observations_similar;\nuse crate::config::ReflectConfig;\nuse crate::drift::DriftDetector;\nuse crate::learning::{\n    BeadType, Confidence, GlobalLearningsFile, LearningEntry, LearningsFile, Retrospective,\n};\nuse crate::skill::{render_skill_file, SkillFrontmatter, SkillLibrary};\nuse crate::telemetry::{EventKind, Telemetry};\nuse crate::transcript::{ParsedTranscript, TranscriptDiscovery};\nuse crate::types::{BeadId, StrandError, StrandResult};\n\n// ──────────────────────────────────────────────────────────────────────────────\n// ReflectAgent trait\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Agent that infers a retrospective from an unstructured bead close body.\n#[async_trait::async_trait]\n#[allow(dead_code)]\npub trait ReflectAgent: Send + Sync {\n    /// Extract a `Retrospective` from the given bead title and close body.\n    /// Returns `Ok(None)` if no meaningful retrospective can be inferred.\n    async fn extract_retrospective(\n        &self,\n        bead_title: &str,\n        close_body: &str,\n        workspace: &Path,\n    ) -> Result<Option<Retrospective>>;\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Default prompt template\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Default prompt template for retrospective extraction.\n#[allow(dead_code)]\nconst DEFAULT_EXTRACTION_PROMPT: &str = r#\"You are analyzing a completed software task.\nBased on the title and close body below, write a concise retrospective section.\n\nTitle: {title}\nClose body: {close_body}\n\nWrite ONLY the following markdown block — nothing before or after it:\n\n## Retrospective\n- **What worked:** <approaches that succeeded>\n- **What didn't:** <approaches that failed or were harder than expected, or \"N/A\">\n- **Surprise:** <anything unexpected about the codebase, tooling, or problem, or \"N/A\">\n- **Reusable pattern:** <if this task type recurs, the key pattern to apply>\n\"#;\n\n// ──────────────────────────────────────────────────────────────────────────────\n// CliReflectAgent\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Production `ReflectAgent` that shells out to a CLI agent (e.g., `claude`).\n///\n/// The agent is invoked with the prompt fed via stdin redirection. 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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SFxNToe6eA1ecTnvi5F6ih","type":"tool_result","content":"100\t    prompt_template: Option<String>,\n101\t}\n102\t\n103\timpl CliReflectAgent {\n104\t    /// Create a new `CliReflectAgent`.\n105\t    ///\n106\t    /// `agent_cmd` is the binary used for analysis (typically taken from\n107\t    /// `config.agent.default`). `prompt_template` is optional; if None, the\n108\t    /// built-in `DEFAULT_EXTRACTION_PROMPT` is used.\n109\t    #[allow(dead_code)]\n110\t    pub fn new(agent_cmd: String, prompt_template: Option<String>) -> Self {\n111\t        CliReflectAgent {\n112\t            agent_cmd,\n113\t            prompt_template,\n114\t        }\n115\t    }\n116\t}\n117\t\n118\t#[async_trait::async_trait]\n119\timpl ReflectAgent for CliReflectAgent {\n120\t    async fn extract_retrospective(\n121\t        &self,\n122\t        bead_title: &str,\n123\t        close_body: &str,\n124\t        workspace: &Path,\n125\t    ) -> Result<Option<Retrospective>> {\n126\t        // Build the prompt by substituting template variables.\n127\t        let template = self\n128\t            .prompt_template\n129\t            .as_deref()\n130\t            .unwrap_or(DEFAULT_EXTRACTION_PROMPT);\n131\t        let prompt = template\n132\t            .replace(\"{title}\", bead_title)\n133\t            .replace(\"{close_body}\", close_body);\n134\t\n135\t        // Write the prompt to a temp file.\n136\t        let tmp_path =\n137\t            std::path::PathBuf::from(format!(\"/tmp/needle-reflect-{}.md\", std::process::id()));\n138\t        std::fs::write(&tmp_path, prompt)\n139\t            .with_context(|| format!(\"failed to write reflect prompt to {}\", tmp_path.display()))?;\n140\t\n141\t        // Run the agent: cd into workspace, pipe prompt to agent.\n142\t        let cmd = format!(\n143\t            \"cd {} && {} < {}\",\n144\t            workspace.display(),\n145\t            self.agent_cmd,\n146\t            tmp_path.display()\n147\t        );\n148\t\n149\t        let output = tokio::process::Command::new(\"bash\")\n150\t            .arg(\"-c\")\n151\t            .arg(&cmd)\n152\t            .output()\n153\t            .await\n154\t            .with_context(|| format!(\"failed to spawn reflect agent: {}\", self.agent_cmd))?;\n155\t\n156\t        // Always clean up the temp file.\n157\t        let _ = std::fs::remove_file(&tmp_path);\n158\t\n159\t        if !output.status.success() {\n160\t            anyhow::bail!(\n161\t                \"reflect agent exited with code {}\",\n162\t                output.status.code().unwrap_or(-1)\n163\t            );\n164\t        }\n165\t\n166\t        let stdout = String::from_utf8_lossy(&output.stdout);\n167\t        Retrospective::parse_from_close_body(&stdout)\n168\t    }\n169\t}\n170\t\n171\t// ──────────────────────────────────────────────────────────────────────────────\n172\t// State persistence\n173\t// ──────────────────────────────────────────────────────────────────────────────\n174\t\n175\t/// Persisted state for the Reflect strand.\n176\t#[derive(Debug, Serialize, Deserialize)]\n177\tstruct ReflectState {\n178\t    /// Timestamp of the last successful consolidation.\n179\t    last_consolidation: DateTime<Utc>,\n180\t    /// Total closed beads at the time of last consolidation.\n181\t    beads_at_last_consolidation: u64,\n182\t}\n183\t\n184\timpl ReflectState {\n185\t    fn load(state_dir: &Path) -> Result<Option<Self>> {\n186\t        let path = state_dir.join(\"reflect_state.json\");\n187\t        if !path.exists() {\n188\t            return Ok(None);\n189\t        }\n190\t        let content = std::fs::read_to_string(&path)\n191\t            .with_context(|| format!(\"failed to read reflect state: {}\", path.display()))?;\n192\t        let state: ReflectState =\n193\t            serde_json::from_str(&content).with_context(|| \"failed to parse reflect state\")?;\n194\t        Ok(Some(state))\n195\t    }\n196\t\n197\t    fn save(&self, state_dir: &Path) -> Result<()> {\n198\t        std::fs::create_dir_all(state_dir)\n199\t            .with_context(|| format!(\"failed to create state dir: {}\", state_dir.display()))?;\n200\t        let path = state_dir.join(\"reflect_state.json\");\n201\t        let content = serde_json::to_string_pretty(self)?;\n202\t        std::fs::write(&path, content)\n203\t            .with_context(|| format!(\"failed to write reflect state: {}\", path.display()))?;\n204\t        Ok(())\n205\t    }\n206\t}\n207\t\n208\t// ──────────────────────────────────────────────────────────────────────────────\n209\t// Bead record (minimal, parsed from issues.jsonl)\n210\t// ──────────────────────────────────────────────────────────────────────────────\n211\t\n212\t/// Minimal closed-bead record read from issues.jsonl.\n213\t#[derive(Debug, Deserialize)]\n214\tstruct ClosedBeadRecord {\n215\t    id: String,\n216\t    title: Option<String>,\n217\t    status: String,\n218\t    close_reason: Option<String>,\n219\t    closed_at: Option<DateTime<Utc>>,\n220\t    assignee: Option<String>,\n221\t    #[serde(default)]\n222\t    labels: Vec<String>,\n223\t}\n224\t\n225\t// ──────────────────────────────────────────────────────────────────────────────\n226\t// Summary\n227\t// ──────────────────────────────────────────────────────────────────────────────\n228\t\n229\t/// Work performed during one Reflect cycle.\n230\t#[derive(Debug, Default)]\n231\tpub struct ReflectSummary {\n232\t    pub beads_processed: usize,\n233\t    pub learnings_added: usize,\n234\t    pub learnings_pruned: usize,\n235\t    pub skills_promoted: usize,\n236\t    /// Number of learnings promoted to the global learnings file.\n237\t    pub global_learnings_promoted: usize,\n238\t    /// Number of retrospectives extracted by the agent.\n239\t    pub agent_extractions: usize,\n240\t    /// Number of transcripts processed.\n241\t    pub transcripts_processed: usize,\n242\t    /// Number of learnings extracted from transcripts.\n243\t    pub transcript_learnings_added: usize,\n244\t    /// Number of learnings placed in CLAUDE.md files.\n245\t    pub claude_md_placed: usize,\n246\t    /// Number of drift clusters detected.\n247\t    pub drift_clusters_found: usize,\n248\t    /// Number of learnings extracted from drift clusters.\n249\t    pub drift_learnings_added: usize,\n250\t    /// Number of ADR decisions detected.\n251\t    pub adr_decisions_detected: usize,\n252\t}\n253\t\n254\t// ──────────────────────────────────────────────────────────────────────────────\n255\t// Strand\n256\t// ──────────────────────────────────────────────────────────────────────────────\n257\t\n258\t/// The Reflect strand — meta-analysis and learning consolidation.\n259\tpub struct ReflectStrand {\n260\t    config: ReflectConfig,\n261\t    workspace: PathBuf,\n262\t    state_dir: PathBuf,\n263\t    telemetry: Telemetry,\n264\t    /// Other workspaces to scan for 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Telemetry,\n287\t        agent: Option<Box<dyn ReflectAgent>>,\n288\t    ) -> Self {\n289\t        ReflectStrand {\n290\t            config,\n291\t            workspace,\n292\t            state_dir,\n293\t            telemetry,\n294\t            known_workspaces: Vec::new(),\n295\t            global_learnings_path: PathBuf::new(),\n296\t            max_global_learnings: 40,\n297\t            agent,\n298\t        }\n299\t    }"}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"7431163e-1321-4151-9849-e665c45b1cb2","timestamp":"2026-05-14T05:07:11.415Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/NEEDLE/src/strand/reflect.rs","content":"    prompt_template: Option<String>,\n}\n\nimpl CliReflectAgent {\n    /// Create a new `CliReflectAgent`.\n    ///\n    /// `agent_cmd` is the binary used for analysis (typically taken from\n    /// `config.agent.default`). `prompt_template` is optional; if None, the\n    /// built-in `DEFAULT_EXTRACTION_PROMPT` is used.\n    #[allow(dead_code)]\n    pub fn new(agent_cmd: String, prompt_template: Option<String>) -> Self {\n        CliReflectAgent {\n            agent_cmd,\n            prompt_template,\n        }\n    }\n}\n\n#[async_trait::async_trait]\nimpl ReflectAgent for CliReflectAgent {\n    async fn extract_retrospective(\n        &self,\n        bead_title: &str,\n        close_body: &str,\n        workspace: &Path,\n    ) -> Result<Option<Retrospective>> {\n        // Build the prompt by substituting template variables.\n        let template = self\n            .prompt_template\n            .as_deref()\n            .unwrap_or(DEFAULT_EXTRACTION_PROMPT);\n        let prompt = template\n            .replace(\"{title}\", bead_title)\n            .replace(\"{close_body}\", close_body);\n\n        // Write the prompt to a temp file.\n        let tmp_path =\n            std::path::PathBuf::from(format!(\"/tmp/needle-reflect-{}.md\", std::process::id()));\n        std::fs::write(&tmp_path, prompt)\n            .with_context(|| format!(\"failed to write reflect prompt to {}\", tmp_path.display()))?;\n\n        // Run the agent: cd into workspace, pipe prompt to agent.\n        let cmd = format!(\n            \"cd {} && {} < {}\",\n            workspace.display(),\n            self.agent_cmd,\n            tmp_path.display()\n        );\n\n        let output = tokio::process::Command::new(\"bash\")\n            .arg(\"-c\")\n            .arg(&cmd)\n            .output()\n            .await\n            .with_context(|| format!(\"failed to spawn reflect agent: {}\", self.agent_cmd))?;\n\n        // Always clean up the temp file.\n        let _ = std::fs::remove_file(&tmp_path);\n\n        if !output.status.success() {\n            anyhow::bail!(\n                \"reflect agent exited with code {}\",\n                output.status.code().unwrap_or(-1)\n            );\n        }\n\n        let stdout = String::from_utf8_lossy(&output.stdout);\n       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serde_json::from_str(&content).with_context(|| \"failed to parse reflect state\")?;\n        Ok(Some(state))\n    }\n\n    fn save(&self, state_dir: &Path) -> Result<()> {\n        std::fs::create_dir_all(state_dir)\n            .with_context(|| format!(\"failed to create state dir: {}\", state_dir.display()))?;\n        let path = state_dir.join(\"reflect_state.json\");\n        let content = serde_json::to_string_pretty(self)?;\n        std::fs::write(&path, content)\n            .with_context(|| format!(\"failed to write reflect state: {}\", path.display()))?;\n        Ok(())\n    }\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Bead record (minimal, parsed from issues.jsonl)\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Minimal closed-bead record read from issues.jsonl.\n#[derive(Debug, Deserialize)]\nstruct ClosedBeadRecord {\n    id: String,\n    title: Option<String>,\n    status: String,\n    close_reason: Option<String>,\n    closed_at: Option<DateTime<Utc>>,\n    assignee: Option<String>,\n    #[serde(default)]\n    labels: Vec<String>,\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Summary\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Work performed during one Reflect cycle.\n#[derive(Debug, Default)]\npub struct ReflectSummary {\n    pub beads_processed: usize,\n    pub learnings_added: usize,\n    pub learnings_pruned: usize,\n    pub skills_promoted: usize,\n    /// Number of learnings promoted to the global learnings file.\n    pub global_learnings_promoted: usize,\n    /// Number of retrospectives extracted by the agent.\n    pub agent_extractions: usize,\n    /// Number of transcripts processed.\n    pub transcripts_processed: usize,\n    /// Number of learnings extracted from transcripts.\n    pub transcript_learnings_added: usize,\n    /// Number of learnings placed in CLAUDE.md files.\n    pub claude_md_placed: usize,\n    /// Number of drift clusters detected.\n    pub drift_clusters_found: usize,\n    /// Number of learnings extracted from drift clusters.\n    pub drift_learnings_added: usize,\n    /// Number of ADR decisions detected.\n    pub adr_decisions_detected: usize,\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// Strand\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// The Reflect strand — meta-analysis and learning consolidation.\npub struct ReflectStrand {\n    config: ReflectConfig,\n    workspace: PathBuf,\n    state_dir: PathBuf,\n    telemetry: Telemetry,\n    /// Other workspaces to scan for cross-workspace patterns.\n    known_workspaces: Vec<PathBuf>,\n    /// Path to the global learnings file.\n    global_learnings_path: PathBuf,\n    /// Maximum entries in the global learnings file.\n    max_global_learnings: usize,\n    /// Optional agent for extracting retrospectives from close bodies.\n    agent: Option<Box<dyn ReflectAgent>>,\n}\n\nimpl ReflectStrand {\n    /// Create a new ReflectStrand.\n    ///\n    /// - `config`: reflect strand configuration\n    /// - `workspace`: workspace root (where `.beads/` lives)\n    /// - `state_dir`: directory for persisting reflect state (`~/.needle/state/reflect/`)\n    /// - `telemetry`: telemetry emitter\n    /// - `agent`: optional agent for extracting retrospectives from close bodies\n    pub fn new(\n        config: ReflectConfig,\n        workspace: PathBuf,\n        state_dir: PathBuf,\n        telemetry: Telemetry,\n        agent: Option<Box<dyn ReflectAgent>>,\n    ) -> Self {\n        ReflectStrand {\n            config,\n            workspace,\n            state_dir,\n            telemetry,\n            known_workspaces: Vec::new(),\n            global_learnings_path: PathBuf::new(),\n            max_global_learnings: 40,\n            agent,\n        }\n    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Duration::days(self.config.transcript_recency_days as i64);\n958:        let transcripts = if self.known_workspaces.is_empty() {\n962:                self.config.transcript_max_sessions,\n966:            .with_context(|| \"failed to discover transcripts\")?\n971:            crate::transcript::discover_workspaces(\n974:                self.config.transcript_max_sessions,\n975:                self.config.transcript_max_sessions,\n978:            .with_context(|| \"failed to discover transcripts across workspaces\")?\n981:        if transcripts.is_empty() {\n986:            count = transcripts.len(),\n987:            \"reflect: discovered recent transcripts\"\n991:            sessions_count: transcripts.len(),\n992:            entries_count: transcripts.iter().map(|t| t.actions.len()).sum(),\n999:        for transcript in &transcripts {\n1001:            for action in &transcript.actions {\n1008:            let bead_id = transcript\n1011:                .unwrap_or_else(|| BeadId::from(format!(\"session-{}\", transcript.session_id)));\n1017:            // Detect decisions in this transcript (ADR-style extraction)\n1018:            let decisions = crate::transcript::detect_decisions(transcript);\n1030:                    format!(\"transcript decision: {}\", transcript.session_id),\n1044:                    \"reflect: extracted decision from transcript\"\n1049:            for action_outcome in &transcript.action_outcomes {\n1052:                    action_outcome.to_pattern(&transcript.session_id, transcript.modified_at);\n1066:                        format!(\"transcript action-outcome: {}\", transcript.session_id),\n1084:                        format!(\"transcript error: {}\", transcript.session_id),\n1089:            // Extract learning entries from transcript actions (non-decision patterns)\n1090:            for action in &transcript.actions {\n1092:                    crate::transcript::ActionType::ToolUse => {\n1105:                                format!(\"transcript: {}\", transcript.session_id),\n1111:                    crate::transcript::ActionType::Text => {\n1125:                                format!(\"transcript: {}\", transcript.session_id),","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GFj8T6nXkAHXiS6v4FMfqy","type":"tool_result","content":"# needle-gvfw: Transcript Discovery and Parsing\n\n## Summary\n\nThe transcript discovery and parsing implementation was completed across prior\nsessions (commits `fcb2c32`, `b90d181`, `afb9927`, `d7dc332`).\n\n## What was implemented\n\n### `src/transcript/mod.rs` (1,316 lines)\n\n- **`TranscriptDiscovery`** struct that locates session JSONL files under\n  `~/.claude/projects/<project-name>/` by deriving the project name from the\n  workspace path (`/home/coding/NEEDLE` → `-home-coding-NEEDLE`).\n- **Recency filtering** via `with_recency_cutoff()` (time-based) and\n  `max_sessions` limit (count-based).\n- **`parse_transcript()`** reads each JSONL file line-by-line with graceful\n  handling of malformed or incomplete lines (logged at `TRACE`, not errors).\n- **`ParsedTranscript`** structured type capturing: session ID, modification\n  time, task description, actions, action-outcome pairs, bead ID, and workspace.\n- **`ActionOutcome`** pairs `tool_use` ↔ `tool_result` entries with\n  human-readable summaries and `to_pattern()` for learning extraction.\n- **`discover_workspaces()`** for multi-workspace discovery with per-workspace\n  and global caps, sorted by recency.\n- **Decision detection** — analyzes thinking blocks and assistant text for\n  ADR-style decision patterns with confidence scoring.\n- **14 unit tests** covering discovery, parsing, recency filtering, tool input\n  formatting, bead ID extraction, and multi-workspace scenarios.\n\n### Integration\n\n- `src/strand/reflect.rs` imports `ParsedTranscript` and `TranscriptDiscovery`\n  and uses them during the Gather phase.\n- `config::ReflectConfig` has `transcript_recency_days` (default 7) and\n  `transcript_max_sessions` (default 50) fields wired up.\n- `src/drift/mod.rs` uses `SessionFingerprint::from_transcript()` for drift\n  detection across sessions.\n\n## Acceptance criteria verification\n\n- **Enumerate recent sessions**: `TranscriptDiscovery::discover()` lists JSONL\n  files from the project directory, sorted by mtime, capped at `max_sessions`.\n- **Structured representation**: `ParsedTranscript` with `actions` (Vec of\n  `TranscriptAction`) and `action_outcomes` (Vec of `ActionOutcome`).\n- **Graceful malformed file handling**: parse errors on individual JSONL lines\n  are logged at `TRACE` and skipped; the transcript is still returned with\n  whatever was successfully parsed.","is_error":false}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"62bc7309-2cfb-4a05-bd53-60e961e5b5bf","timestamp":"2026-05-14T05:07:48.647Z","tool_use_result":{"stdout":"# needle-gvfw: Transcript Discovery and Parsing\n\n## Summary\n\nThe transcript discovery and parsing implementation was completed across prior\nsessions (commits `fcb2c32`, `b90d181`, `afb9927`, `d7dc332`).\n\n## What was implemented\n\n### `src/transcript/mod.rs` (1,316 lines)\n\n- **`TranscriptDiscovery`** struct that locates session JSONL files under\n  `~/.claude/projects/<project-name>/` by deriving the project name from the\n  workspace path (`/home/coding/NEEDLE` → `-home-coding-NEEDLE`).\n- **Recency filtering** via `with_recency_cutoff()` (time-based) and\n  `max_sessions` limit (count-based).\n- **`parse_transcript()`** reads each JSONL file line-by-line with graceful\n  handling of malformed or incomplete lines (logged at `TRACE`, not errors).\n- **`ParsedTranscript`** structured type capturing: session ID, modification\n  time, task description, actions, action-outcome pairs, bead ID, and workspace.\n- **`ActionOutcome`** pairs `tool_use` ↔ `tool_result` entries with\n  human-readable summaries and `to_pattern()` for learning extraction.\n- **`discover_workspaces()`** for multi-workspace discovery with per-workspace\n  and global caps, sorted by recency.\n- **Decision detection** — analyzes thinking blocks and assistant text for\n  ADR-style decision patterns with confidence scoring.\n- **14 unit tests** covering discovery, parsing, recency filtering, tool input\n  formatting, bead ID extraction, and multi-workspace scenarios.\n\n### Integration\n\n- `src/strand/reflect.rs` imports `ParsedTranscript` and `TranscriptDiscovery`\n  and uses them during the Gather phase.\n- `config::ReflectConfig` has `transcript_recency_days` (default 7) and\n  `transcript_max_sessions` (default 50) fields wired up.\n- `src/drift/mod.rs` uses `SessionFingerprint::from_transcript()` for drift\n  detection across sessions.\n\n## Acceptance criteria verification\n\n- **Enumerate recent sessions**: `TranscriptDiscovery::discover()` lists JSONL\n  files from the project directory, sorted by mtime, capped at `max_sessions`.\n- **Structured representation**: `ParsedTranscript` with `actions` (Vec of\n  `TranscriptAction`) and `action_outcomes` (Vec of `ActionOutcome`).\n- **Graceful malformed file handling**: parse errors on individual JSONL lines\n  are logged at `TRACE` and skipped; the transcript is still returned with\n  whatever was successfully parsed.","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015exofyKu7opHA5fwZ6tpe3","type":"tool_result","content":"diff --git a/src/transcript/mod.rs b/src/transcript/mod.rs\nindex 76d58d1..96f3bce 100644\n--- a/src/transcript/mod.rs\n+++ b/src/transcript/mod.rs\n@@ -74,7 +74,31 @@ enum TranscriptEntry {\n /// User message content.\n #[derive(Debug, Clone, Deserialize, Serialize)]\n struct UserMessage {\n-    content: String,\n+    content: UserContent,\n+}\n+\n+/// User message content — either a plain task description string or an array of\n+/// content blocks (tool results wrapped in user turns).\n+#[derive(Debug, Clone, Deserialize, Serialize)]\n+#[serde(untagged)]\n+enum UserContent {\n+    /// Plain text task description (first user turn).\n+    Text(String),\n+    /// Array of content blocks (subsequent user turns with tool results).\n+    Blocks(Vec<UserContentItem>),\n+}\n+\n+/// A single item in a user message content array.\n+#[derive(Debug, Clone, Deserialize, Serialize)]\n+struct UserContentItem {\n+    #[serde(rename = \"type\")]\n+    block_type: String,\n+    #[serde(default)]\n+    tool_use_id: Option<String>,\n+    #[serde(default)]\n+    content: Option<String>,\n+    #[serde(default)]\n+    is_error: Option<bool>,\n }\n \n /// Assistant message content.\n@@ -417,7 +441,6 @@ impl TranscriptDiscovery {\n         self.workspace\n             .to_string_lossy()\n             .replace(['/', '\\\\'], \"-\")\n-            .trim_start_matches('-')\n             .to_string()\n     }\n \n@@ -454,11 +477,34 @@ impl TranscriptDiscovery {\n \n             match serde_json::from_str::<TranscriptEntry>(line) {\n                 Ok(entry) => {\n-                    // Extract task description from first user message\n-                    if task_description.is_none() {\n-                        if let TranscriptEntry::User { ref message } = entry {\n-                            task_description =\n-                                Some(self.extract_task_bead_id(&message.content, &mut bead_id));\n+                    // Handle user messages: task description (text) or tool results (blocks)\n+                    if let TranscriptEntry::User { ref message } = entry {\n+                        match &message.content {\n+                            UserContent::Text(text) => {\n+                                if task_description.is_none() {\n+                                    task_description =\n+                                        Some(self.extract_task_bead_id(text, &mut bead_id));\n+                                }\n+                            }\n+                            UserContent::Blocks(blocks) => {\n+                                for block in blocks {\n+                                    if block.block_type == \"tool_result\" {\n+                                        if let Some(ref tool_use_id) = block.tool_use_id {\n+                                            if let Some((tool_name, input)) =\n+                                                pending_tool_uses.remove(tool_use_id)\n+                                            {\n+                                                let outcome = ActionOutcome::new(\n+                                                    tool_name,\n+                                                    input,\n+                                                    block.content.clone().unwrap_or_default(),\n+                                                    block.is_error.unwrap_or(false),\n+                                                );\n+                                                action_outcomes.push(outcome);\n+                                            }\n+                                        }\n+                                    }\n+                                }\n+                            }\n                         }\n                     }\n \n@@ -983,16 +1029,16 @@ mod tests {\n         // The full path is converted, including the temp directory prefix\n         let result = discovery.derive_project_name();\n         // Verify it ends with the expected suffix (temp dir prefix varies)\n-        assert!(result.ends_with(\"home-coding-NEEDLE\"));\n-        // Verify it doesn't start with a dash (trim_start_matches worked)\n-        assert!(!result.starts_with('-'));\n+        assert!(result.ends_with(\"-home-coding-NEEDLE\"));\n+        // Absolute paths always produce a leading dash (slashes → dashes)\n+        assert!(result.starts_with('-'));\n     }\n \n     #[test]\n     fn derive_project_name_absolute() {\n         let workspace = PathBuf::from(\"/home/coding/NEEDLE\");\n         let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n-        assert_eq!(discovery.derive_project_name(), \"home-coding-NEEDLE\");\n+        assert_eq!(discovery.derive_project_name(), \"-home-coding-NEEDLE\");\n     }\n \n     #[test]\n@@ -1013,11 +1059,10 @@ mod tests {\n         let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n         let claude_dir = temp_dir.path().join(\".claude\");\n \n-        // Create project directory\n+        // Create project directory using the same convention as derive_project_name()\n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1050,17 +1095,59 @@ mod tests {\n         assert_eq!(transcript.action_outcomes[0].output, \"file content here\");\n     }\n \n+    #[test]\n+    fn discovery_parses_user_wrapped_tool_results() {\n+        let temp_dir = TempDir::new().unwrap();\n+        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n+        let claude_dir = temp_dir.path().join(\".claude\");\n+\n+        let project_name = workspace\n+            .to_string_lossy()\n+            .replace(['/', '\\\\'], \"-\")\n+            .to_string();\n+        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n+        fs::create_dir_all(&project_dir).unwrap();\n+\n+        // Write a transcript in the real Claude Code format:\n+        // tool_result entries come as user messages with array content\n+        let transcript_path = project_dir.join(\"real-format-session.jsonl\");\n+        let mut file = fs::File::create(&transcript_path).unwrap();\n+\n+        // First user message: task description (string content)\n+        writeln!(file, \"{{\\\"type\\\":\\\"user\\\",\\\"message\\\":{{\\\"content\\\":\\\"Fix the bug\\\"}}}}\").unwrap();\n+        // Assistant with tool_use\n+        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"tool_use\",\"id\":\"call_abc\",\"name\":\"Read\",\"input\":{{\"file_path\":\"/tmp/foo.rs\"}}}}]}}}}\"#).unwrap();\n+        // User message with array content wrapping the tool_result (real format)\n+        writeln!(file, r#\"{{\"type\":\"user\",\"message\":{{\"content\":[{{\"type\":\"tool_result\",\"tool_use_id\":\"call_abc\",\"content\":\"line 1\\nline 2\",\"is_error\":false}}]}}}}\"#).unwrap();\n+\n+        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n+        let results = discovery.discover().unwrap();\n+\n+        assert_eq!(results.len(), 1);\n+        let transcript = &results[0];\n+        assert_eq!(transcript.task_description.as_deref(), Some(\"Fix the bug\"));\n+        // Tool use should be recorded as an action\n+        assert!(transcript\n+            .actions\n+            .iter()\n+            .any(|a| a.tool_name.as_deref() == Some(\"Read\")));\n+        // Action-outcome pair should be created from the user-wrapped tool_result\n+        assert_eq!(transcript.action_outcomes.len(), 1);\n+        assert_eq!(transcript.action_outcomes[0].tool_name, \"Read\");\n+        assert!(!transcript.action_outcomes[0].is_error);\n+        assert_eq!(transcript.action_outcomes[0].output, \"line 1\\nline 2\");\n+    }\n+\n     #[test]\n     fn discovery_respects_max_sessions() {\n         let temp_dir = TempDir::new().unwrap();\n         let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n         let claude_dir = temp_dir.path().join(\".claude\");\n \n-        // Create project directory\n+        // Create project directory using the same convention as derive_project_name()\n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1085,11 +1172,10 @@ mod tests {\n         let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n         let claude_dir = temp_dir.path().join(\".claude\");\n \n-        // Create project directory\n+        // Create project directory using the same convention as derive_project_name()\n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1165,8 +1251,7 @@ mod tests {\n \n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1204,8 +1289,7 @@ mod tests {\n         for ws in [&ws_a, &ws_b] {\n             let project_name = ws\n                 .to_string_lossy()\n-                .replace('/', \"-\")\n-                .trim_start_matches('-')\n+                .replace(['/', '\\\\'], \"-\")\n                 .to_string();\n             let project_dir = claude_dir.join(\"projects\").join(&project_name);\n             fs::create_dir_all(&project_dir).unwrap();\n@@ -1247,8 +1331,7 @@ mod tests {\n             let ws = temp_dir.path().join(\"home\").join(proj);\n             let project_name = ws\n                 .to_string_lossy()\n-                .replace('/', \"-\")\n-                .trim_start_matches('-')\n+                .replace(['/', '\\\\'], \"-\")\n                 .to_string();\n             let project_dir = claude_dir.join(\"projects\").join(&project_name);\n             fs::create_dir_all(&project_dir).unwrap();\n@@ -1286,8 +1369,7 @@ mod tests {\n         let ws_good = temp_dir.path().join(\"home\").join(\"coding\").join(\"good\");\n         let project_name = ws_good\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();","is_error":false}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"c586194a-2a45-4bd7-9aed-55a04729c5eb","timestamp":"2026-05-14T05:07:59.205Z","tool_use_result":{"stdout":"diff --git a/src/transcript/mod.rs b/src/transcript/mod.rs\nindex 76d58d1..96f3bce 100644\n--- a/src/transcript/mod.rs\n+++ b/src/transcript/mod.rs\n@@ -74,7 +74,31 @@ enum TranscriptEntry {\n /// User message content.\n #[derive(Debug, Clone, Deserialize, Serialize)]\n struct UserMessage {\n-    content: String,\n+    content: UserContent,\n+}\n+\n+/// User message content — either a plain task description string or an array of\n+/// content blocks (tool results wrapped in user turns).\n+#[derive(Debug, Clone, Deserialize, Serialize)]\n+#[serde(untagged)]\n+enum UserContent {\n+    /// Plain text task description (first user turn).\n+    Text(String),\n+    /// Array of content blocks (subsequent user turns with tool results).\n+    Blocks(Vec<UserContentItem>),\n+}\n+\n+/// A single item in a user message content array.\n+#[derive(Debug, Clone, Deserialize, Serialize)]\n+struct UserContentItem {\n+    #[serde(rename = \"type\")]\n+    block_type: String,\n+    #[serde(default)]\n+    tool_use_id: Option<String>,\n+    #[serde(default)]\n+    content: Option<String>,\n+    #[serde(default)]\n+    is_error: Option<bool>,\n }\n \n /// Assistant message content.\n@@ -417,7 +441,6 @@ impl TranscriptDiscovery {\n         self.workspace\n             .to_string_lossy()\n             .replace(['/', '\\\\'], \"-\")\n-            .trim_start_matches('-')\n             .to_string()\n     }\n \n@@ -454,11 +477,34 @@ impl TranscriptDiscovery {\n \n             match serde_json::from_str::<TranscriptEntry>(line) {\n                 Ok(entry) => {\n-                    // Extract task description from first user message\n-                    if task_description.is_none() {\n-                        if let TranscriptEntry::User { ref message } = entry {\n-                            task_description =\n-                                Some(self.extract_task_bead_id(&message.content, &mut bead_id));\n+                    // Handle user messages: task description (text) or tool results (blocks)\n+                    if let TranscriptEntry::User { ref message } = entry {\n+                        match &message.content {\n+                            UserContent::Text(text) => {\n+                                if task_description.is_none() {\n+                                    task_description =\n+                                        Some(self.extract_task_bead_id(text, &mut bead_id));\n+                                }\n+                            }\n+                            UserContent::Blocks(blocks) => {\n+                                for block in blocks {\n+                                    if block.block_type == \"tool_result\" {\n+                                        if let Some(ref tool_use_id) = block.tool_use_id {\n+                                            if let Some((tool_name, input)) =\n+                                                pending_tool_uses.remove(tool_use_id)\n+                                            {\n+                                                let outcome = ActionOutcome::new(\n+                                                    tool_name,\n+                                                    input,\n+                                                    block.content.clone().unwrap_or_default(),\n+                                                    block.is_error.unwrap_or(false),\n+                                                );\n+                                                action_outcomes.push(outcome);\n+                                            }\n+                                        }\n+                                    }\n+                                }\n+                            }\n                         }\n                     }\n \n@@ -983,16 +1029,16 @@ mod tests {\n         // The full path is converted, including the temp directory prefix\n         let result = discovery.derive_project_name();\n         // Verify it ends with the expected suffix (temp dir prefix varies)\n-        assert!(result.ends_with(\"home-coding-NEEDLE\"));\n-        // Verify it doesn't start with a dash (trim_start_matches worked)\n-        assert!(!result.starts_with('-'));\n+        assert!(result.ends_with(\"-home-coding-NEEDLE\"));\n+        // Absolute paths always produce a leading dash (slashes → dashes)\n+        assert!(result.starts_with('-'));\n     }\n \n     #[test]\n     fn derive_project_name_absolute() {\n         let workspace = PathBuf::from(\"/home/coding/NEEDLE\");\n         let discovery = TranscriptDiscovery::new(&workspace, None, 10);\n-        assert_eq!(discovery.derive_project_name(), \"home-coding-NEEDLE\");\n+        assert_eq!(discovery.derive_project_name(), \"-home-coding-NEEDLE\");\n     }\n \n     #[test]\n@@ -1013,11 +1059,10 @@ mod tests {\n         let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n         let claude_dir = temp_dir.path().join(\".claude\");\n \n-        // Create project directory\n+        // Create project directory using the same convention as derive_project_name()\n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1050,17 +1095,59 @@ mod tests {\n         assert_eq!(transcript.action_outcomes[0].output, \"file content here\");\n     }\n \n+    #[test]\n+    fn discovery_parses_user_wrapped_tool_results() {\n+        let temp_dir = TempDir::new().unwrap();\n+        let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n+        let claude_dir = temp_dir.path().join(\".claude\");\n+\n+        let project_name = workspace\n+            .to_string_lossy()\n+            .replace(['/', '\\\\'], \"-\")\n+            .to_string();\n+        let project_dir = claude_dir.join(\"projects\").join(&project_name);\n+        fs::create_dir_all(&project_dir).unwrap();\n+\n+        // Write a transcript in the real Claude Code format:\n+        // tool_result entries come as user messages with array content\n+        let transcript_path = project_dir.join(\"real-format-session.jsonl\");\n+        let mut file = fs::File::create(&transcript_path).unwrap();\n+\n+        // First user message: task description (string content)\n+        writeln!(file, \"{{\\\"type\\\":\\\"user\\\",\\\"message\\\":{{\\\"content\\\":\\\"Fix the bug\\\"}}}}\").unwrap();\n+        // Assistant with tool_use\n+        writeln!(file, r#\"{{\"type\":\"assistant\",\"message\":{{\"content\":[{{\"type\":\"tool_use\",\"id\":\"call_abc\",\"name\":\"Read\",\"input\":{{\"file_path\":\"/tmp/foo.rs\"}}}}]}}}}\"#).unwrap();\n+        // User message with array content wrapping the tool_result (real format)\n+        writeln!(file, r#\"{{\"type\":\"user\",\"message\":{{\"content\":[{{\"type\":\"tool_result\",\"tool_use_id\":\"call_abc\",\"content\":\"line 1\\nline 2\",\"is_error\":false}}]}}}}\"#).unwrap();\n+\n+        let discovery = TranscriptDiscovery::new(&workspace, Some(&claude_dir), 10);\n+        let results = discovery.discover().unwrap();\n+\n+        assert_eq!(results.len(), 1);\n+        let transcript = &results[0];\n+        assert_eq!(transcript.task_description.as_deref(), Some(\"Fix the bug\"));\n+        // Tool use should be recorded as an action\n+        assert!(transcript\n+            .actions\n+            .iter()\n+            .any(|a| a.tool_name.as_deref() == Some(\"Read\")));\n+        // Action-outcome pair should be created from the user-wrapped tool_result\n+        assert_eq!(transcript.action_outcomes.len(), 1);\n+        assert_eq!(transcript.action_outcomes[0].tool_name, \"Read\");\n+        assert!(!transcript.action_outcomes[0].is_error);\n+        assert_eq!(transcript.action_outcomes[0].output, \"line 1\\nline 2\");\n+    }\n+\n     #[test]\n     fn discovery_respects_max_sessions() {\n         let temp_dir = TempDir::new().unwrap();\n         let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n         let claude_dir = temp_dir.path().join(\".claude\");\n \n-        // Create project directory\n+        // Create project directory using the same convention as derive_project_name()\n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1085,11 +1172,10 @@ mod tests {\n         let workspace = temp_dir.path().join(\"home\").join(\"coding\").join(\"NEEDLE\");\n         let claude_dir = temp_dir.path().join(\".claude\");\n \n-        // Create project directory\n+        // Create project directory using the same convention as derive_project_name()\n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1165,8 +1251,7 @@ mod tests {\n \n         let project_name = workspace\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();\n@@ -1204,8 +1289,7 @@ mod tests {\n         for ws in [&ws_a, &ws_b] {\n             let project_name = ws\n                 .to_string_lossy()\n-                .replace('/', \"-\")\n-                .trim_start_matches('-')\n+                .replace(['/', '\\\\'], \"-\")\n                 .to_string();\n             let project_dir = claude_dir.join(\"projects\").join(&project_name);\n             fs::create_dir_all(&project_dir).unwrap();\n@@ -1247,8 +1331,7 @@ mod tests {\n             let ws = temp_dir.path().join(\"home\").join(proj);\n             let project_name = ws\n                 .to_string_lossy()\n-                .replace('/', \"-\")\n-                .trim_start_matches('-')\n+                .replace(['/', '\\\\'], \"-\")\n                 .to_string();\n             let project_dir = claude_dir.join(\"projects\").join(&project_name);\n             fs::create_dir_all(&project_dir).unwrap();\n@@ -1286,8 +1369,7 @@ mod tests {\n         let ws_good = temp_dir.path().join(\"home\").join(\"coding\").join(\"good\");\n         let project_name = ws_good\n             .to_string_lossy()\n-            .replace('/', \"-\")\n-            .trim_start_matches('-')\n+            .replace(['/', '\\\\'], \"-\")\n             .to_string();\n         let project_dir = claude_dir.join(\"projects\").join(&project_name);\n         fs::create_dir_all(&project_dir).unwrap();","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"stream_event","event":{"type":"message_stop"},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"a6dcbd55-a357-40a8-88ad-927055a658dd"}
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{"type":"stream_event","event":{"type":"message_start","message":{"model":"claude-sonnet-4-6","id":"msg_01Hwmq4nniUcHQK6LQZCtuL4","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3234,"cache_read_input_tokens":59343,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3234},"output_tokens":29,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"4d451d51-4261-4c91-b870-d7c2b4a25264","ttft_ms":1347}
{"type":"stream_event","event":{"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":""}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"bd09be77-3b84-4a16-810a-d9152e74d0c0"}
{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"There are uncommitted changes in `src/transcript/mod.rs` that need to be committed. These"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"be9b2d06-846b-4cb7-a527-626f6ee695e8"}
{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" changes include:\n1. Support for real Claude Code transcript format where tool"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"bce58a8c-0a2e-448c-999a-ee230927d519"}
{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"_results are wrapped in user messages with array content (the"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"2eb6ad61-faa4-4dfe-bced-c2b8bf2460f6"}
{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" `UserContent` enum)\n2. Fix for `derive_project_name()` -"}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"c1e512dd-a1ed-4bd4-b406-8429b59c2daf"}
{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" removed `trim_start_matches('-')` to preserve the leading dash ("}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"f8a22dcd-caa9-410f-a21d-7988971d8fe7"}
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{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" succeeded. Now let me close the bead with the retrospective."}},"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","parent_tool_use_id":null,"uuid":"d42aa9f2-c720-4595-bfd2-5c4a738cc33f"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CgAQQXJtZA2YzsAD94rbkT","type":"tool_result","content":"Usage: br sync --import-only\n\nFor more information, try '--help'.","is_error":false}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"a39d7ff0-98d9-45c0-a85c-d149f50511b3","timestamp":"2026-05-14T05:09:19.591Z","tool_use_result":{"stdout":"Usage: br sync --import-only\n\nFor more information, try '--help'.","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
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