Split the monolithic skill prompt into three tiers: - Core API (search/context/sql) stays in the first prompt - Structured helpers listed as one-liners with filter signatures - Detailed patterns and pitfalls extracted to references/ Add references/query-patterns.md (copyable CodeAct recipes) and references/pitfalls.md (scope, FTS, ordering, compactness traps). Clarify project scope semantics (slug vs path vs cwd) throughout. Add ORDER BY timestamp DESC to failures() for newest-first default.
609 lines
21 KiB
Markdown
609 lines
21 KiB
Markdown
# Obelisk -- Schema and API Reference
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Advanced reference for the obelisk database.
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Read this when `search()`, `context()`, or `sql()` are not enough.
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---
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## 1. Database Schema
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Database location: `~/.claude/obelisk.sqlite`
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### sessions
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One row per Claude Code session.
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```sql
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CREATE TABLE sessions (
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id TEXT PRIMARY KEY, -- session UUID (matches JSONL filename)
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title TEXT, -- AI-generated session title (may be NULL)
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project TEXT, -- project slug (hyphenated path, e.g. "Users-tomiya-Code-quiet-zero")
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project_path TEXT, -- reconstructed filesystem path (e.g. "/Users/tomiya/Code/quiet-zero")
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started_at TEXT, -- ISO 8601 timestamp of first message
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ended_at TEXT, -- ISO 8601 timestamp of last message
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git_branch TEXT, -- git branch active during session (if any)
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version TEXT, -- Claude Code version string
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message_count INTEGER DEFAULT 0, -- total user + assistant messages
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jsonl_path TEXT -- absolute path to source JSONL file
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);
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```
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### messages
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Every user and assistant message. Core table for all queries.
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```sql
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CREATE TABLE messages (
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uuid TEXT PRIMARY KEY, -- message UUID
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session_id TEXT, -- FK -> sessions.id
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type TEXT, -- "user" or "assistant"
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parent_uuid TEXT, -- UUID of parent message (conversation tree)
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timestamp TEXT, -- ISO 8601
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role TEXT, -- "user" or "assistant" (from message payload)
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text TEXT, -- extracted text content (thinking + text blocks, truncated to 10k chars)
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model TEXT, -- model name (e.g. "claude-opus-4-6-20250529"), NULL for user messages
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is_sidechain INTEGER DEFAULT 0, -- 1 if this message is on a sidechain (retry/branch)
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agent_id TEXT, -- subagent or workflow agent UUID (NULL for main conversation)
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input_tokens INTEGER, -- token usage (assistant messages only)
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output_tokens INTEGER, -- token usage (assistant messages only)
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cwd TEXT, -- working directory at message time (may differ from session project_path)
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skill TEXT, -- skill that generated this response (e.g. "obelisk"), NULL if none
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turn_duration_ms INTEGER -- wall-clock duration of the turn ending at this message (from system turn_duration event)
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);
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```
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Indexes: `idx_messages_session(session_id)`, `idx_messages_agent(agent_id)`, `idx_messages_ts(session_id, timestamp)`.
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### messages_fts
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FTS5 virtual table for full-text search over message text.
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```sql
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CREATE VIRTUAL TABLE messages_fts USING fts5(
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uuid UNINDEXED, -- not searchable, carried for JOINs
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session_id UNINDEXED, -- not searchable, carried for filtering
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text, -- the searchable column
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content=messages, -- content-sync with messages table
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content_rowid=rowid
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);
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```
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Queried via `MATCH` syntax. Rebuilt on each index pass.
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### tool_calls
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Every tool invocation by the assistant. One row per `tool_use` content block.
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```sql
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CREATE TABLE tool_calls (
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id TEXT PRIMARY KEY, -- tool_use ID (from API response)
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message_uuid TEXT, -- FK -> messages.uuid (the assistant message containing this call)
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session_id TEXT, -- FK -> sessions.id (denormalized for fast queries)
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name TEXT, -- tool name: "Read", "Edit", "Write", "Bash", "WebSearch", etc.
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input_json TEXT, -- JSON-serialized tool input (truncated to 10k chars)
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file_path TEXT -- extracted file_path for Read/Edit/Write/NotebookEdit (NULL otherwise)
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);
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```
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Indexes: `idx_tc_session_name(session_id, name)`, `idx_tc_file(file_path)`.
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### tool_results
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The result returned for each tool call. Appears in the next user message.
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```sql
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CREATE TABLE tool_results (
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tool_use_id TEXT PRIMARY KEY, -- FK -> tool_calls.id
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message_uuid TEXT, -- FK -> messages.uuid (the user message carrying this result)
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session_id TEXT, -- FK -> sessions.id (denormalized)
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content TEXT, -- result text (truncated to 10k chars)
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file_path TEXT, -- file path from toolUseResult metadata (if any)
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is_error INTEGER DEFAULT 0 -- 1 if the tool call returned an error (from API is_error field)
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);
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```
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### subagents
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Metadata for subagent spawns (non-workflow agents).
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```sql
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CREATE TABLE subagents (
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agent_id TEXT PRIMARY KEY, -- subagent UUID
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session_id TEXT, -- FK -> sessions.id (parent session)
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parent_tool_use_id TEXT, -- tool_use ID that spawned this agent
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agent_type TEXT, -- e.g. "code-review", "research"
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description TEXT, -- task description given to the subagent
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duration_ms INTEGER, -- wall-clock duration (computed from message timestamps)
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total_tokens INTEGER -- sum of input_tokens + output_tokens across all agent messages
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);
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```
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Index: `idx_sa_session(session_id)`.
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### workflows
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Workflow execution records. A workflow orchestrates multiple agents.
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```sql
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CREATE TABLE workflows (
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run_id TEXT PRIMARY KEY, -- workflow run UUID
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session_id TEXT, -- FK -> sessions.id (parent session)
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task_id TEXT, -- task identifier (if any)
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script TEXT, -- workflow script content (truncated)
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result_json TEXT, -- JSON-serialized workflow result
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timestamp TEXT, -- ISO 8601 execution time
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agent_count INTEGER DEFAULT 0, -- number of agents in this workflow
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duration_ms INTEGER, -- wall-clock duration of the workflow run
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total_tokens INTEGER, -- total tokens across all agents
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status TEXT, -- "completed", "failed", etc.
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workflow_name TEXT -- name from the workflow script meta
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);
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```
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Index: `idx_wf_session(session_id)`.
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### workflow_agents
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Individual agents within a workflow run.
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```sql
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CREATE TABLE workflow_agents (
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agent_id TEXT PRIMARY KEY, -- agent UUID (prefixed with "agent-")
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run_id TEXT, -- FK -> workflows.run_id
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session_id TEXT, -- FK -> sessions.id
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agent_type TEXT, -- agent type label
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description TEXT, -- task description
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phase TEXT, -- workflow phase title (e.g. "Review", "Verify")
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label TEXT, -- agent label from workflow script
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model TEXT, -- model used (e.g. "claude-opus-4-6[1m]")
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state TEXT, -- "done", "error", etc.
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duration_ms INTEGER, -- wall-clock duration of this agent
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tokens INTEGER, -- total tokens used by this agent
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tool_calls INTEGER -- number of tool calls made
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);
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```
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Index: `idx_wa_run(run_id)`.
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### index_state
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Tracks incremental indexing progress per JSONL file.
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```sql
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CREATE TABLE index_state (
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jsonl_path TEXT PRIMARY KEY, -- absolute path to JSONL file
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mtime REAL, -- file mtime at last index (milliseconds)
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lines_processed INTEGER -- number of lines already processed
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);
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```
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### Key Relationships
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```
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sessions.id <-- messages.session_id
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sessions.id <-- tool_calls.session_id
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sessions.id <-- tool_results.session_id
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sessions.id <-- subagents.session_id
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sessions.id <-- workflows.session_id
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messages.uuid <-- tool_calls.message_uuid
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messages.uuid <-- tool_results.message_uuid
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messages.agent_id --> subagents.agent_id (for subagent messages)
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messages.agent_id --> workflow_agents.agent_id (for workflow agent messages)
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tool_calls.id <-- tool_results.tool_use_id
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workflows.run_id <-- workflow_agents.run_id
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```
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---
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## 2. Query API Reference
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All functions are available as globals inside `--query` scripts.
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Scripts run in an async IIFE with a 30-second timeout.
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### Simple Layer
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#### `search(text, opts?)`
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Full-text search across all message text using FTS5.
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| Param | Type | Description |
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|-------|------|-------------|
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| `text` | `string` | FTS5 query (terms, phrases, prefix) |
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| `opts.limit` | `number` | Max results (default 20) |
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| `opts.sessionId` | `string` | Restrict to one session |
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| `opts.project` | `string` | SQL `LIKE` pattern over `sessions.project` |
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| `opts.after` | `string` | ISO 8601 lower bound on timestamp |
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| `opts.before` | `string` | ISO 8601 upper bound on timestamp |
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| `opts.cwd` | `string` | Filter by working directory (supports LIKE) |
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**Scope note:** `sessions.project` is the stored Claude Code project slug,
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`sessions.project_path` is the reconstructed absolute project path, and
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`messages.cwd` is the working directory at message time. Helper `project`
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filters are fuzzy `LIKE` filters over `sessions.project`. For exact project
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membership, use `sql()` with `s.project = ?` or `s.project_path = ?`.
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**Returns:** `Array<{ message, session, rank, context }>` where `context` is the
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6 nearest messages by timestamp in the same session. It is temporal neighbor
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context, not a parent chain. `rank` is the FTS5 relevance score used by
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`ORDER BY rank`; lower values sort earlier, so treat the returned order as the
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relevance order unless you are deliberately using FTS5 ranking details.
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```js
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const hits = search('MCTS exploration');
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return hits.map(h => ({ title: h.session.title, text: h.message.text?.slice(0, 200) }));
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```
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#### `context(uuid)`
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Full context around a single message: parent chain, session metadata, subagent/workflow info.
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| Param | Type | Description |
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|-------|------|-------------|
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| `uuid` | `string` | Message UUID |
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**Returns:** `{ message, parentChain, session, subagent, workflow }` or `null`.
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```js
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const c = context('abc-123-def');
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return { chain_length: c.parentChain.length, session_title: c.session?.title };
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```
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#### `sql(query, ...params)`
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Raw SQL with parameterized bindings. Returns an array of row objects.
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| Param | Type | Description |
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|-------|------|-------------|
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| `query` | `string` | SQL SELECT statement |
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| `...params` | `any` | Bind parameters (positional `?`) |
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**Returns:** `Array<Object>` -- each row as `{ column: value }`.
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```js
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const rows = sql('SELECT id, title FROM sessions WHERE project = ? ORDER BY ended_at DESC LIMIT 5', 'Users-tomiya-Code-quiet-zero');
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return rows;
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```
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### Advanced Layer
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#### `trace(uuid)`
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Walk the `parent_uuid` chain from a message up to the conversation root.
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**Returns:** `Array<message>` ordered root-first.
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```js
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const chain = trace('some-uuid');
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return chain.map(m => ({ role: m.role, text: m.text?.slice(0, 100) }));
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```
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#### `thread(sessionId)`
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All messages in a session, ordered by timestamp.
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**Returns:** `Array<message>`.
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```js
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const msgs = thread('session-uuid');
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return { count: msgs.length, first: msgs[0]?.text?.slice(0, 100) };
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```
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#### `subagents(opts?)`
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All subagent spawns, with message counts. For backward compatibility, passing a string is treated as `sessionId`.
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| Param | Type | Description |
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|-------|------|-------------|
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| `opts.sessionId` | `string` | Restrict to one session |
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| `opts.project` | `string` | SQL `LIKE` pattern over `sessions.project` |
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| `opts.limit` | `number` | Max results (default 100) |
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**Returns:** `Array<{ ...subagent_row, messageCount }>`.
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```js
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const subs = subagents({ project: '%quiet-zero%' });
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return subs.map(s => ({ type: s.agent_type, desc: s.description, msgs: s.messageCount, tokens: s.total_tokens }));
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```
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#### `workflows(opts?)`
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Workflow executions. For backward compatibility, passing a string is treated as `sessionId`.
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| Param | Type | Description |
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|-------|------|-------------|
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| `opts.sessionId` | `string` | Restrict to one session |
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| `opts.project` | `string` | SQL `LIKE` pattern over `sessions.project` |
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| `opts.after` | `string` | ISO 8601 lower bound on timestamp |
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| `opts.before` | `string` | ISO 8601 upper bound on timestamp |
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| `opts.limit` | `number` | Max results (default 100) |
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**Returns:** `Array<workflow_row>`.
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```js
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const wfs = workflows({ project: '%quiet-zero%' });
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return wfs.map(w => ({ run: w.run_id, agents: w.agent_count, time: w.timestamp }));
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```
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#### `workflowTree(runId)`
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Lightweight execution tree for a workflow: metadata, parsed result, and agent summaries with phase/label/performance data. Does not load agent messages — use `sql()` with `agent_id` to drill into a specific agent.
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**Returns:** `{ ...workflow_row, result: object, agents: Array<{ ...agent_row, messageCount }> }` or `null`.
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```js
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const tree = workflowTree('run-uuid');
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return tree?.agents.map(a => ({ phase: a.phase, label: a.label, tokens: a.tokens, msgs: a.messageCount }));
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```
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#### `fileHistory(filePath, opts?)`
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All tool calls that touched a specific file, across every session.
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| Param | Type | Description |
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|-------|------|-------------|
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| `filePath` | `string` | Absolute file path (required) |
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| `opts.after` | `string` | ISO 8601 lower bound |
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| `opts.before` | `string` | ISO 8601 upper bound |
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| `opts.limit` | `number` | Max results (default 200) |
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**Returns:** `Array<{ toolCall, session, timestamp }>`.
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Default order is oldest first (`ORDER BY m.timestamp`). For recent file changes,
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use raw SQL with `ORDER BY m.timestamp DESC`.
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```js
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const edits = fileHistory('/Users/tomiya/Code/quiet-zero/src/mcts.ts', { after: '2026-05-28' });
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return edits.map(e => ({ tool: e.toolCall.name, session: e.session.title, time: e.timestamp }));
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```
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#### `failures(opts?)`
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Tool calls whose results contain error patterns (`Error`, `ENOENT`, `failed`, `permission denied`, etc.). Includes the 3 messages immediately after each failure for retry context. For backward compatibility, passing a string is treated as `sessionId`.
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| Param | Type | Description |
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|-------|------|-------------|
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| `opts.sessionId` | `string` | Restrict to one session |
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| `opts.project` | `string` | SQL `LIKE` pattern over `sessions.project` |
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| `opts.after` | `string` | ISO 8601 lower bound |
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| `opts.before` | `string` | ISO 8601 upper bound |
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| `opts.limit` | `number` | Max results (default 50) |
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**Returns:** `Array<{ toolCall, result, session, nextMessages }>`.
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Default order is newest first by the result message timestamp.
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```js
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const fails = failures({ project: '%quiet-zero%', limit: 10 });
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return fails.map(f => ({ tool: f.toolCall?.name, error: f.result.content?.slice(0, 200) }));
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```
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#### `recent(n?)`
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Shorthand for `sessions({ limit: n })`. Last `n` sessions (default 10), ordered by `ended_at` descending.
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**Returns:** `Array<session_row>`.
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```js
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const last5 = recent(5);
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return last5.map(s => ({ title: s.title, project: s.project_path, ended: s.ended_at }));
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```
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#### `sessions(opts?)`
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Query sessions with filters. For backward compatibility, passing a number is treated as `limit`.
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| Param | Type | Description |
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|-------|------|-------------|
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| `opts.project` | `string` | SQL `LIKE` pattern over `sessions.project` |
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| `opts.after` | `string` | ISO 8601 lower bound on `started_at` |
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| `opts.before` | `string` | ISO 8601 upper bound on `started_at` |
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| `opts.limit` | `number` | Max results (default 50) |
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| `opts.branch` | `string` | Filter by git branch (exact match) |
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| `opts.sessionId` | `string` | Restrict to one session |
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| `opts.sessions` | `string[]` | Restrict to a set of session IDs |
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**Returns:** `Array<session_row>` ordered by `ended_at` descending.
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For exact slug/path membership, use raw SQL with `project = ?` or
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`project_path = ?`.
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```js
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const qz = sessions({ project: '%quiet-zero%', limit: 5 });
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return qz.map(s => ({ title: s.title, branch: s.git_branch, ended: s.ended_at }));
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```
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---
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## 3. Common Query Patterns
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### Find sessions about a topic
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```js
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const hits = search('reinforcement learning');
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const sessions = [...new Set(hits.map(h => h.session.id))];
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return hits.slice(0, 10).map(h => ({
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session: h.session.title,
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snippet: h.message.text?.slice(0, 150),
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}));
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```
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### Trace a decision chain
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```js
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// Find a message, then trace its full parent chain to understand how we got there
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const hits = search('"switched to PPO"');
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if (!hits.length) return 'not found';
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const chain = trace(hits[0].message.uuid);
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return chain.map(m => ({ role: m.role, text: m.text?.slice(0, 120), ts: m.timestamp }));
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```
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### Find all edits to a file across sessions
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```js
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const edits = fileHistory('/Users/tomiya/Code/quiet-zero/src/mcts.ts');
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return edits.map(e => ({
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action: e.toolCall.name,
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session: e.session.title,
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time: e.timestamp,
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}));
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```
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### Find churned files (most-edited across all sessions)
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```js
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const rows = sql(`
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SELECT file_path, COUNT(*) as edit_count, COUNT(DISTINCT session_id) as session_count
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FROM tool_calls
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WHERE file_path IS NOT NULL AND name IN ('Edit','Write')
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GROUP BY file_path
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ORDER BY edit_count DESC
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LIMIT 20
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`);
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return rows;
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```
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### Token usage analysis
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```js
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const rows = sql(`
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SELECT s.id, s.title,
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SUM(m.input_tokens) as total_in,
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SUM(m.output_tokens) as total_out,
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SUM(m.input_tokens) + SUM(m.output_tokens) as total
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FROM messages m JOIN sessions s ON s.id = m.session_id
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WHERE m.input_tokens IS NOT NULL
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GROUP BY s.id
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ORDER BY total DESC
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LIMIT 10
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`);
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return rows;
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```
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### Find workflow results
|
|
|
|
```js
|
|
const wfs = workflows();
|
|
for (const wf of wfs.slice(0, 3)) {
|
|
const tree = workflowTree(wf.run_id);
|
|
wf.agent_details = tree?.agents.map(a => ({
|
|
type: a.agent_type, desc: a.description, msgs: a.messages.length,
|
|
}));
|
|
}
|
|
return wfs.slice(0, 3);
|
|
```
|
|
|
|
### Find error patterns
|
|
|
|
```js
|
|
const fails = failures();
|
|
// Group by tool name
|
|
const byTool = {};
|
|
for (const f of fails) {
|
|
const name = f.toolCall?.name || 'unknown';
|
|
byTool[name] = (byTool[name] || 0) + 1;
|
|
}
|
|
return { total: fails.length, byTool };
|
|
```
|
|
|
|
### Find what tools were used most
|
|
|
|
```js
|
|
const rows = sql(`
|
|
SELECT name, COUNT(*) as call_count, COUNT(DISTINCT session_id) as session_count
|
|
FROM tool_calls
|
|
GROUP BY name
|
|
ORDER BY call_count DESC
|
|
`);
|
|
return rows;
|
|
```
|
|
|
|
### Find sessions by time range
|
|
|
|
```js
|
|
return sessions({ after: '2026-05-28T00:00:00Z', before: '2026-05-30T00:00:00Z' }).map(s => ({
|
|
title: s.title, project: s.project_path, started: s.started_at, messages: s.message_count,
|
|
}));
|
|
```
|
|
|
|
### Cross-reference subagent findings
|
|
|
|
```js
|
|
// See what all subagents did in a session
|
|
const subs = subagents('session-uuid');
|
|
const details = subs.map(s => {
|
|
const msgs = sql('SELECT text, role FROM messages WHERE agent_id = ? ORDER BY timestamp', s.agent_id);
|
|
return { type: s.agent_type, desc: s.description, summary: msgs.slice(-1)[0]?.text?.slice(0, 300) };
|
|
});
|
|
return details;
|
|
```
|
|
|
|
### Find all sessions for a project
|
|
|
|
```js
|
|
return sessions({ project: '%quiet-zero%' }).map(s => ({
|
|
title: s.title, started: s.started_at, ended: s.ended_at,
|
|
messages: s.message_count, branch: s.git_branch,
|
|
}));
|
|
```
|
|
|
|
### Reconstruct what happened in a session
|
|
|
|
```js
|
|
// Full timeline: messages + tool calls interleaved
|
|
const msgs = thread('session-uuid');
|
|
return msgs.map(m => {
|
|
const tools = sql('SELECT name, file_path FROM tool_calls WHERE message_uuid = ?', m.uuid);
|
|
return {
|
|
role: m.role, text: m.text?.slice(0, 100), ts: m.timestamp,
|
|
tools: tools.length ? tools.map(t => `${t.name}(${t.file_path || ''})`) : undefined,
|
|
};
|
|
});
|
|
```
|
|
|
|
---
|
|
|
|
## 4. Tips
|
|
|
|
### When to use `search()` vs `sql()`
|
|
|
|
- **`search()`** -- when you are looking for messages containing specific words or phrases.
|
|
Uses FTS5 under the hood, returns ranked results with surrounding context.
|
|
Best for: "find where we discussed X", "when did I mention Y".
|
|
- **`sql()`** -- when you need structured queries: aggregations, JOINs, GROUP BY, date ranges,
|
|
or anything involving tables other than `messages`.
|
|
Best for: "how many edits to this file", "total tokens this week", "most-used tools".
|
|
|
|
### FTS5 Match Syntax
|
|
|
|
The `text` argument to `search()` uses SQLite FTS5 query syntax:
|
|
|
|
| Pattern | Meaning | Example |
|
|
|---------|---------|---------|
|
|
| `word` | Match token | `search('MCTS')` |
|
|
| `word1 word2` | Implicit AND | `search('MCTS exploration')` |
|
|
| `"exact phrase"` | Phrase match | `search('"Monte Carlo tree"')` |
|
|
| `word*` | Prefix match | `search('optim*')` matches optimize, optimizer, optimization |
|
|
| `word1 OR word2` | Either term | `search('PPO OR TRPO')` |
|
|
| `word1 NOT word2` | Exclude | `search('MCTS NOT debug')` |
|
|
|
|
Terms are case-insensitive. FTS5 tokenizes on whitespace and punctuation,
|
|
so `camelCase` is indexed as two tokens (`camel`, `case`).
|
|
|
|
### Performance
|
|
|
|
- **FTS5 searches** are fast (milliseconds) regardless of database size.
|
|
- **`sql()` with indexes** is fast. The indexed columns cover the common patterns:
|
|
`messages(session_id)`, `messages(agent_id)`, `messages(session_id, timestamp)`,
|
|
`tool_calls(session_id, name)`, `tool_calls(file_path)`.
|
|
- **JOINs across large sessions** (1000+ messages) can be slow if you join
|
|
`messages` with `tool_calls` and `tool_results` without filtering by `session_id` first.
|
|
Always add a `session_id` filter when working within a session.
|
|
- **Full table scans on `tool_results`** (used by `failures()` with no session ID)
|
|
can be slow on large databases because it pattern-matches every result row.
|
|
Pass a `sessionId` when possible.
|
|
- **Text fields are truncated** to 10,000 characters at index time. If you need
|
|
the full content of a long message or tool result, read the source JSONL directly
|
|
(path available in `sessions.jsonl_path`).
|
|
- The database uses **WAL mode** and **NORMAL synchronous**, so reads never block
|
|
writes during re-indexing.
|