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agent-optic

v0.2.0

Published

Zero-dependency, local-first framework for reading AI assistant session data from provider home directories

Downloads

107

Readme

agent-optic

Reads local assistant history directories and returns structured JSON — sessions, costs, timesheets, work patterns.

Zero-dependency, local-first TypeScript library for reading session data from provider directories such as ~/.claude/, ~/.codex/, ~/.cursor/, and ~/.windsurf/.

Security Warning: Provider home directories contain highly sensitive data — API keys, source code, credentials, and personal information may be present in plaintext session files. This library is designed with privacy as the primary concern. See SECURITY.md.

Try it

bunx agent-optic sessions

Features

  • Zero runtime dependencies
  • No network access
  • Privacy by default — strips tool results and thinking blocks
  • Two-tier session loading — fast (history.jsonl) or detailed (full parse)
  • Bun-nativeBun.file(), Bun.Glob

Install

bun add agent-optic

Examples

The examples/ directory contains standalone scripts that show what your session data unlocks. Run any of them with bun examples/<name>.ts.

Cost per Feature

Match sessions to git branches and calculate what each feature costs in tokens and USD.

bun examples/cost-per-feature.ts --repo /path/to/repo
Cost per Feature / Branch
==========================================================================================
Feature/Branch                      Sessions      Tokens    Est. Cost     Commits
------------------------------------------------------------------------------------------
feat/auth-system                          8       2.3M        $4.12           5
fix/memory-leak                           3       890K        $1.55           2
refactor/api-client                       5       1.1M        $2.08           3

Match Git Commits

Correlate git commits with sessions by timestamp proximity — find which session produced each commit.

bun examples/match-git-commits.ts --days 7

Timesheet

Generate a weekly timesheet grouped by day and project, with gap-capped hours.

bun examples/timesheet.ts
Timesheet: 2026-02-10 → 2026-02-14
==========================================================================================
Day   Date        Project                           Hours   Sessions    Prompts
------------------------------------------------------------------------------------------
Mon   2026-02-10  claude-optic                       2.3          4         18
                  my-app                               1.1          2          8
Tue   2026-02-11  claude-optic                       3.5          6         32
------------------------------------------------------------------------------------------
      TOTAL                                            6.9         12         58

Model Costs

Compare token usage and costs across model families.

bun examples/model-costs.ts
Model Usage & Costs: 2026-01-13 → 2026-02-12
====================================================================================================
Model                    Sessions     Input    Output   Cache W   Cache R    Est. Cost
----------------------------------------------------------------------------------------------------
opus-4-5-20250514              12     4.2M      1.1M     3.8M      2.1M       $98.42
sonnet-4-5-20250929            45     8.1M      2.3M     6.2M      4.5M       $42.15

Prompt History

Export sampled prompts grouped by project as JSON — pipe to an LLM for categorization or analysis.

bun examples/prompt-history.ts --from 2026-01-01 | claude "categorize these prompts by intent"

Session Digest

Compact session summaries as JSON — first prompt, branch, model, token counts, cost, duration.

bun examples/session-digest.ts --days 7 | claude "which sessions were the most productive?"

Work Patterns

Aggregated work pattern metrics as JSON — hour distribution, late-night/weekend counts, longest and most expensive sessions.

bun examples/work-patterns.ts | claude "analyze my work patterns and suggest improvements"

Commit Tracker

Post-commit hook that records AI usage per commit to .ai-usage.jsonl.

# Install the git hook
bun examples/commit-tracker.ts install

# Or run manually for the latest commit
bun examples/commit-tracker.ts run

Each commit gets a JSONL record with matched sessions, token counts, and cost:

{"commit":"7c5a457","timestamp":"2026-02-13T21:12:13.000Z","branch":"main","sessions":2,"tokens":{"input":194,"output":1638,"cache_read":1534390,"cache_write":83203},"cost_usd":1.33,"models":["claude-opus-4-6"],"messages":89,"files_changed":2}
# Uninstall when done
bun examples/commit-tracker.ts uninstall

Pipe Match

Generic stdin matcher — pipe in any JSON with timestamps, match against sessions.

# Match GitHub PRs to sessions that produced them
gh pr list --json createdAt,title | bun examples/pipe-match.ts --field createdAt

# Match GitHub issues
gh issue list --json createdAt,title | bun examples/pipe-match.ts --field createdAt

# Match any timestamped JSON
echo '[{"timestamp":"2026-02-10T14:00:00Z","title":"Deploy v2.1"}]' | bun examples/pipe-match.ts

# Works with any JSON — work items, calendar events, deploys, etc.
cat events.json | bun examples/pipe-match.ts

Quick Start

import { createHistory } from "agent-optic";

const ch = createHistory({ provider: "claude" });

// List today's sessions (fast — reads only history.jsonl)
const sessions = await ch.sessions.list();

// List with metadata (slower — peeks session files for branch/model/tokens)
const withMeta = await ch.sessions.listWithMeta();

// Get full session detail
const detail = await ch.sessions.detail(sessionId, projectPath);

// Stream transcript entries
for await (const entry of ch.sessions.transcript(sessionId, projectPath)) {
  console.log(entry.message?.role, entry.timestamp);
}

// Daily summary (sessions + tasks + plans + todos + project memory)
const daily = await ch.aggregate.daily("2026-02-09");

// Project summaries
const projects = await ch.aggregate.byProject({ from: "2026-02-01", to: "2026-02-09" });

// Estimate cost of a session
import { estimateCost } from "agent-optic";
const cost = estimateCost(withMeta[0]); // USD

API

createHistory(config?)

const ch = createHistory({
  provider: "claude",                // "claude" | "codex" | "openai" | "cursor" | "windsurf"
  providerDir: "~/.claude",          // default: provider-specific home directory
  privacy: "local",                  // "local" | "shareable" | "strict" | Partial<PrivacyConfig>
  cache: true,                       // default: true
});

openai is currently an alias of Codex-format local history and defaults to ~/.codex.

createClaudeHistory() is still exported for backward compatibility and behaves like createHistory({ provider: "claude" }).

Sessions

| Method | Speed | Reads | Returns | |--------|-------|-------|---------| | sessions.list(filter?) | Fast | history.jsonl only | SessionInfo[] | | sessions.listWithMeta(filter?) | Medium | + peeks session files | SessionMeta[] | | sessions.detail(id, project) | Slow | Full session parse | SessionDetail | | sessions.transcript(id, project) | Streaming | Full session file | AsyncGenerator<TranscriptEntry> | | sessions.count(filter?) | Fast | history.jsonl only | number |

Other Data

ch.projects.list()                    // ProjectInfo[]
ch.projects.memory(projectPath)       // ProjectMemory | null
ch.tasks.list({ date: "2026-02-09" })     // TaskInfo[]
ch.todos.list({ date: "2026-02-09" })     // TodoItem[]
ch.plans.list({ date: "2026-02-09" })     // PlanInfo[]
ch.skills.list()                      // string[]
ch.skills.read("skill-name")         // string (SKILL.md content)
ch.stats.get()                        // StatsCache | null

Aggregations

ch.aggregate.daily("2026-02-09")                          // DailySummary
ch.aggregate.dailyRange("2026-02-01", "2026-02-09")       // DailySummary[]
ch.aggregate.byProject({ from: "2026-02-01" })            // ProjectSummary[]
ch.aggregate.toolUsage({ date: "2026-02-09" })            // ToolUsageReport
ch.aggregate.estimateHours(sessions)                       // number (gap-capped)

Cost Estimation

import { estimateCost, getModelPricing, MODEL_PRICING } from "agent-optic";

// Estimate cost for a session (requires SessionMeta — use listWithMeta)
const session = (await ch.sessions.listWithMeta())[0];
const cost = estimateCost(session); // USD

// Look up pricing for a model
const pricing = getModelPricing("claude-opus-4-6");
// { input: 5, output: 25, cacheWrite: 6.25, cacheRead: 0.5 } per million tokens

Filters

// Date filter (all methods)
{ date: "2026-02-09" }                    // Single day
{ from: "2026-02-01", to: "2026-02-09" }  // Range
{ from: "2026-02-01" }                    // From date to today

// Session filter (extends DateFilter)
{ date: "2026-02-09", project: "my-app" } // Filter by project name

Privacy Profiles

| Profile | Strips | |---------|--------| | local (default) | Tool results, thinking blocks | | shareable | + absolute paths, home directory | | strict | + prompt text, emails, credential patterns, IPs |

// Use a built-in profile
const ch = createHistory({ provider: "claude", privacy: "strict" });

// Or customize
const ch = createHistory({
  provider: "claude",
  privacy: {
    redactPrompts: false,
    stripToolResults: true,
    stripThinking: true,
    excludeProjects: ["/work/secret-project"],
  },
});

CLI

# Agent-friendly list (JSONL stream)
bunx agent-optic sessions --provider codex --format jsonl

# Detail for one session
bunx agent-optic detail 019c9aea-484d-7200-87fd-07a545276ac4 --provider openai

# Transcript stream (limit + selected fields)
bunx agent-optic transcript 019c9aea-484d-7200-87fd-07a545276ac4 --provider openai --format jsonl --limit 50 --fields timestamp,message

# Tool usage report
bunx agent-optic tool-usage --provider codex --from 2026-02-01 --to 2026-02-26

# Daily summary
bunx agent-optic daily --date 2026-02-09

# Raw output without envelope
bunx agent-optic sessions --provider claude --date 2026-02-09 --raw

--format json returns a stable envelope (schemaVersion, command, provider, generatedAt, data) by default. Use --raw for data-only output and --format jsonl for one JSON object per line.

Architecture

src/
  agent-optic.ts      # Main factory: createHistory()
  claude-optic.ts     # Backward-compatible Claude aliases
  pricing.ts            # Model pricing data and cost estimation
  types/                # Type definitions (one file per domain)
  readers/              # File readers (history, session, tasks, plans, projects, stats)
  parsers/              # Session parsing, tool categorization, content extraction
  aggregations/         # Daily/project/tool summaries, time estimation
  privacy/              # Redaction engine, privacy profiles
  utils/                # Dates, paths, JSONL streaming
  cli/                  # CLI entry point
examples/               # Standalone scripts showing what the data unlocks

License

MIT