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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. The prompt\n/// is built by substituting `{title}` and `{close_body}` in the template.\n#[allow(dead_code)]\npub struct CliReflectAgent {\n    /// Agent binary name or path (e.g., `\"claude\"`).\n    agent_cmd: String,\n    /// Optional custom prompt template. Uses `DEFAULT_EXTRACTION_PROMPT` if None.\n    #[allow(dead_code)]\n    prompt_template: Option<String>,","numLines":100,"startLine":1,"totalLines":2066}}}
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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 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    }"}]},"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        Retrospective::parse_from_close_body(&stdout)\n    }\n}\n\n// ──────────────────────────────────────────────────────────────────────────────\n// State persistence\n// ──────────────────────────────────────────────────────────────────────────────\n\n/// Persisted state for the Reflect strand.\n#[derive(Debug, Serialize, Deserialize)]\nstruct ReflectState {\n    /// Timestamp of the last successful consolidation.\n    last_consolidation: DateTime<Utc>,\n    /// Total closed beads at the time of last consolidation.\n    beads_at_last_consolidation: u64,\n}\n\nimpl ReflectState {\n    fn load(state_dir: &Path) -> Result<Option<Self>> {\n        let path = state_dir.join(\"reflect_state.json\");\n        if !path.exists() {\n            return Ok(None);\n        }\n        let content = std::fs::read_to_string(&path)\n            .with_context(|| format!(\"failed to read reflect state: {}\", path.display()))?;\n        let state: ReflectState =\n            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    }","numLines":200,"startLine":100,"totalLines":2066}}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fu1DTYLER1rnsfyf3fpABp","type":"tool_result","content":"44:use crate::transcript::{ParsedTranscript, TranscriptDiscovery};\n240:    /// Number of transcripts processed.\n241:    pub transcripts_processed: usize,\n242:    /// Number of learnings extracted from transcripts.\n243:    pub transcript_learnings_added: usize,\n441:        // Gather transcripts and extract learning entries\n442:        let (transcripts, transcript_entries) = self.extract_from_transcripts()\n444:                tracing::warn!(error = %e, \"reflect: transcript extraction failed, continuing without transcripts\");\n448:        let transcript_count = transcripts.len();\n451:            transcript_count,\n452:            transcript_entries = transcript_entries.len(),\n453:            \"reflect: gathered transcript entries\"\n458:            self.detect_drift(&transcripts).unwrap_or_else(|e| {\n472:        let adr_decisions_detected = self.detect_decisions(&transcripts).unwrap_or_else(|e| {\n541:        // Add transcript-derived and drift-derived entries to candidates\n542:        let transcript_entry_count = transcript_entries.len();\n545:        candidate_entries.extend(transcript_entries);\n555:        let mut transcript_added = 0usize;\n575:            // Track source: transcript entries come after retro entries,\n576:            // drift entries come after transcript entries\n577:            if idx >= retro_entry_count && idx < retro_entry_count + transcript_entry_count {\n578:                transcript_added += 1;\n579:            } else if idx >= retro_entry_count + transcript_entry_count {\n584:        summary.transcripts_processed = transcript_count;\n585:        summary.transcript_learnings_added = transcript_added;\n947:    /// Discover and parse recent transcripts, extract learning entries from them.\n949:    /// Returns a tuple of (transcripts, learning_entries).\n950:    fn extract_from_transcripts(&self) -> Result<(Vec<ParsedTranscript>, Vec<LearningEntry>)> {\n953:        // Create transcript discovery with recency cutoff\n955:            Utc::now() - 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),","is_error":false}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"ef58405e-d591-4c64-8c75-44687d336d22","timestamp":"2026-05-14T05:07:11.772Z","tool_use_result":{"stdout":"44:use crate::transcript::{ParsedTranscript, TranscriptDiscovery};\n240:    /// Number of transcripts processed.\n241:    pub transcripts_processed: usize,\n242:    /// Number of learnings extracted from transcripts.\n243:    pub transcript_learnings_added: usize,\n441:        // Gather transcripts and extract learning entries\n442:        let (transcripts, transcript_entries) = self.extract_from_transcripts()\n444:                tracing::warn!(error = %e, \"reflect: transcript extraction failed, continuing without transcripts\");\n448:        let transcript_count = transcripts.len();\n451:            transcript_count,\n452:            transcript_entries = transcript_entries.len(),\n453:            \"reflect: gathered transcript entries\"\n458:            self.detect_drift(&transcripts).unwrap_or_else(|e| {\n472:        let adr_decisions_detected = self.detect_decisions(&transcripts).unwrap_or_else(|e| {\n541:        // Add transcript-derived and drift-derived entries to candidates\n542:        let transcript_entry_count = transcript_entries.len();\n545:        candidate_entries.extend(transcript_entries);\n555:        let mut transcript_added = 0usize;\n575:            // Track source: transcript entries come after retro entries,\n576:            // drift entries come after transcript entries\n577:            if idx >= retro_entry_count && idx < retro_entry_count + transcript_entry_count {\n578:                transcript_added += 1;\n579:            } else if idx >= retro_entry_count + transcript_entry_count {\n584:        summary.transcripts_processed = transcript_count;\n585:        summary.transcript_learnings_added = transcript_added;\n947:    /// Discover and parse recent transcripts, extract learning entries from them.\n949:    /// Returns a tuple of (transcripts, learning_entries).\n950:    fn extract_from_transcripts(&self) -> Result<(Vec<ParsedTranscript>, Vec<LearningEntry>)> {\n953:        // Create transcript discovery with recency cutoff\n955:            Utc::now() - 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}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016HXCxfumPFDdZ3MFmawiy2","type":"tool_result","content":"On branch main\nYour branch is ahead of 'origin/main' by 1 commit.\n  (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n  (use \"git add/rm <file>...\" to update what will be committed)\n  (use \"git restore <file>...\" to discard changes in working directory)\n\tmodified:   .beads/config.yaml\n\tmodified:   .beads/issues.jsonl\n\tmodified:   .beads/learnings.md\n\tmodified:   .beads/traces/needle-6lnk/metadata.json\n\tdeleted:    .beads/traces/needle-6lnk/stderr.txt\n\tdeleted:    .beads/traces/needle-6lnk/stdout.txt\n\tmodified:   .beads/traces/needle-6x3b/metadata.json\n\tmodified:   .beads/traces/needle-6x3b/stdout.txt\n\tmodified:   .beads/traces/needle-9azq/metadata.json\n\tmodified:   .beads/traces/needle-9azq/stdout.txt\n\tmodified:   .beads/traces/needle-9hu7/metadata.json\n\tdeleted:    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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nError: error: unexpected argument 'needle-gvfw' found\n\nUsage: br claim [OPTIONS] --assignee <ASSIGNEE>\n\nFor more information, try '--help'.","is_error":true,"tool_use_id":"toolu_01PAp72exrbmw1hDF9yB9bYW"}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"84594a11-7344-4ce0-8a62-23eeeba97823","timestamp":"2026-05-14T05:08:57.023Z","tool_use_result":"Error: Exit code 1\nError: error: unexpected argument 'needle-gvfw' found\n\nUsage: br claim [OPTIONS] --assignee <ASSIGNEE>\n\nFor more information, try '--help'."}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nError: Claim a bead (atomic)\n\nUsage: br claim [OPTIONS] --assignee <ASSIGNEE>\n\nOptions:\n      --assignee <ASSIGNEE>\n          Assignee (worker ID)\n      --model <MODEL>\n          Model\n      --harness <HARNESS>\n          Harness\n      --harness-version <HARNESS_VERSION>\n          Harness version\n      --any\n          Claim from any workspace (searches all .beads/ directories)\n      --fallback <MODE>\n          Fallback mode: try current workspace first, fall back to any if no beads available\n      --workspace-paths <WORKSPACE_PATHS>\n          Workspace paths to search (only used with --any)\n      --dry-run\n          Dry run (show what would be claimed without claiming)\n      --format <FORMAT>\n          Output format (text, json, toon) [default: text]\n      --json\n          Output JSON (alias for --format json)\n  -w, --workspace <WORKSPACE>\n          Workspace directory (defaults to current directory's .beads/)\n  -h, --help\n          Print help","is_error":true,"tool_use_id":"toolu_01UXPGGtpQEdRMppLVYDGNXa"}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"372e458f-e791-4a62-889b-ea6b93d55d99","timestamp":"2026-05-14T05:08:58.796Z","tool_use_result":"Error: Exit code 1\nError: Claim a bead (atomic)\n\nUsage: br claim [OPTIONS] --assignee <ASSIGNEE>\n\nOptions:\n      --assignee <ASSIGNEE>\n          Assignee (worker ID)\n      --model <MODEL>\n          Model\n      --harness <HARNESS>\n          Harness\n      --harness-version <HARNESS_VERSION>\n          Harness version\n      --any\n          Claim from any workspace (searches all .beads/ directories)\n      --fallback <MODE>\n          Fallback mode: try current workspace first, fall back to any if no beads available\n      --workspace-paths <WORKSPACE_PATHS>\n          Workspace paths to search (only used with --any)\n      --dry-run\n          Dry run (show what would be claimed without claiming)\n      --format <FORMAT>\n          Output format (text, json, toon) [default: text]\n      --json\n          Output JSON (alias for --format json)\n  -w, --workspace <WORKSPACE>\n          Workspace directory (defaults to current directory's .beads/)\n  -h, --help\n          Print help"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016YcgLtYYsQk5mXhJGM4YiZ","type":"tool_result","content":"Error: Close a bead\n\nUsage: br close [OPTIONS] <ID>\n\nArguments:\n  <ID>  Bead ID\n\nOptions:\n      --reason <REASON>        Close reason [default: Completed]\n  -w, --workspace <WORKSPACE>  Workspace directory (defaults to current directory's .beads/)\n  -h, --help                   Print help\n\nID: needle-gvfw\nTitle: Epic: Transcript Discovery and Parsing\nStatus: in_progress\nPriority: P2\nType: epic\nDescription: ## Epic: Transcript Discovery and Parsing\n\nCurrently `needle reflect` reads only closed bead bodies. This epic adds the ability to discover and parse recent Claude Code session transcripts so that reflect can extract patterns from the full session history, not just structured bead summaries.\n\n### What to change\n- Locate session transcript JSONL files (`.claude/projects/` directories)\n- Parse transcript entries to extract assistant actions, tool calls, and outcomes\n- Determine recency window (last N sessions or time-based cutoff)\n- Handle multi-workspace transcript discovery (reflect may run across multiple workspaces)\n\n### Acceptance criteria\n- Given a workspace path, can enumerate all recent session transcripts\n- Parse JSONL entries into a structured representation suitable for pattern extraction\n- Gracefully handle malformed or incomplete transcript files\nAssignee: claude-anthropic-sonnet-verify-test\nLabels: deferred, failure-count:4","is_error":false}]},"parent_tool_use_id":null,"session_id":"9024d1c9-d810-45ee-8f9b-d58bd66c73b6","uuid":"19e84d64-6022-4671-9333-7ba9d881638b","timestamp":"2026-05-14T05:09:13.069Z","tool_use_result":{"stdout":"Error: Close a bead\n\nUsage: br close [OPTIONS] <ID>\n\nArguments:\n  <ID>  Bead ID\n\nOptions:\n      --reason <REASON>        Close reason [default: Completed]\n  -w, --workspace <WORKSPACE>  Workspace directory (defaults to current directory's .beads/)\n  -h, --help                   Print help\n\nID: needle-gvfw\nTitle: Epic: Transcript Discovery and Parsing\nStatus: in_progress\nPriority: P2\nType: epic\nDescription: ## Epic: Transcript Discovery and Parsing\n\nCurrently `needle reflect` reads only closed bead bodies. This epic adds the ability to discover and parse recent Claude Code session transcripts so that reflect can extract patterns from the full session history, not just structured bead summaries.\n\n### What to change\n- Locate session transcript JSONL files (`.claude/projects/` directories)\n- Parse transcript entries to extract assistant actions, tool calls, and outcomes\n- Determine recency window (last N sessions or time-based cutoff)\n- Handle multi-workspace transcript discovery (reflect may run across multiple workspaces)\n\n### Acceptance criteria\n- Given a workspace path, can enumerate all recent session transcripts\n- Parse JSONL entries into a structured representation suitable for pattern extraction\n- Gracefully handle malformed or incomplete transcript files\nAssignee: claude-anthropic-sonnet-verify-test\nLabels: deferred, failure-count:4","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
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