tokview

Wrap your coding agent and watch where every token goes — live, in your terminal, down to the individual tool call.

A Codex or Claude Code session burns through millions of tokens, and all you get back is a bill — or, on a subscription, nothing at all. tokview is a tiny local proxy that sits in front of your agent and shows you, as it runs, exactly where the tokens go: by session, by request, by model, and — uniquely — by tool call. No account, no cloud, no code changes.

Try it in 30 seconds

uv tool install token-viewer      # PyPI name is token-viewer; the command is `tokview`
# or: pipx install token-viewer

tokview show --watch              # live terminal dashboard (one terminal)
tokview wrap claude               # run your agent through tokview (another terminal)
#   or:  tokview wrap codex

That's the whole workflow — wrap your agent, show the tokens. Agent flags pass straight through (tokview wrap codex --model gpt-5.5 --search), and multiple Codex/Claude sessions run at once and appear separately in tokview show.

Already have history? Import it

No proxy needed for the past — both Claude Code and recent Codex keep local logs that record token usage, so tokview can backfill your entire history, tool-level:

tokview import claude     # reads ~/.claude/projects/**/*.jsonl
tokview import codex       # reads ~/.codex/sessions/**/*.jsonl

Each reconstructs every session (per-request tokens + per-tool estimates) into the same store, so it shows up in tokview show and the dashboard immediately. Idempotent — safe to re-run. (Codex began persisting per-turn token usage in late 2025; older Codex rollouts that predate it are skipped.)

Where your tokens actually go

Most counters stop at "this call used 180k tokens." tokview tells you which tool spent them — and catches the cost nothing else surfaces: a big tool result (a file Read, an MCP dump, a grep over your repo) gets re-sent into every later turn, silently multiplying your input bill. Often the single largest line item in a session is one file your agent re-read a dozen times.

And it sees traffic normal token counters can't:

• Subscription agents. Codex and Claude Code OAuth / WebSocket traffic, not just API keys — with an estimated equivalent API spend per session, so you know what your subscription session would have cost on metered pricing.
• Streaming, tool calls, and provider-compatible SDKs, captured at the proxy with zero app instrumentation.

Tool-level numbers are token estimates, not dollars — providers bill per model call, and cache discounts make per-tool dollars misleading.

Browser dashboard

The browser dashboard is still available when you want a wider visual scan, but the terminal TUI is the primary workflow.

Works with

If a client can point at a provider-compatible base URL, tokview can usually observe it — no instrumentation required.

What you get

• Live spend by session, request, provider, and model.
• Input, output, cache-read, cache-write, and reasoning token counters when reported.
• Estimated equivalent API spend for subscription traffic.
• Tool argument/result token estimates — including Codex shell command families like read, grep, find, pytest, and npm.
• A local SQLite history at ~/.tokview/db.sqlite.

vs. other token counters

How it works

Codex / Claude / SDKs ──► tokview local proxy ──► provider backend
                                  │
                                  ├─► SQLite  ~/.tokview/db.sqlite
                                  ├─► tokview show --watch   (terminal)
                                  └─► optional browser dashboard

• API-key traffic routes through LiteLLM where that's the right layer.
• Codex subscription traffic uses tokview's native Codex adapter so HTTP and WebSocket Responses traffic are observable.
• Claude Code subscription/OAuth traffic uses tokview's native Anthropic adapter.
• Costs marked ~ are estimated equivalent API spend — subscription products don't bill per request like API-key calls.

Commands

tokview wrap codex [CODEX_ARGS...]     # run Codex through tokview
tokview wrap claude [CLAUDE_ARGS...]   # run Claude Code through tokview
tokview unwrap codex                   # undo a wrap

tokview import claude                  # backfill history from local Claude Code logs
tokview import codex                   # backfill history from local Codex rollouts

tokview show --watch                   # live terminal dashboard
tokview show --latest                  # the most recently active session
tokview show --session SESSION_ID      # one session in detail

tokview status                         # running? counts, errors, diagnostics
tokview logs [-f] [-n N]               # tail the server log
tokview export --since YYYY-MM-DD --format csv|json
tokview reset                          # wipe the local SQLite history
tokview version

tokview start / tokview stop exist for debugging, but the normal workflow is tokview wrap ... plus tokview show.

Privacy & data

By default tokview stores accounting metadata only — no prompt or response text:

• timestamp, latency, status
• provider, model, session id
• input / output / cache / reasoning token counters
• cost, or estimated equivalent API cost
• tool names with estimated argument/result tokens

Provider API keys come from your environment; tokview forwards them and never persists them. Everything stays in ~/.tokview/db.sqlite on your machine.

Configuration

~/.tokview/config.yaml is created on first run and defaults to localhost-only:

proxy:      { port: 4000, bind: 127.0.0.1 }
dashboard:  { port: 3000, bind: 127.0.0.1 }
storage:    { path: ~/.tokview/db.sqlite }
retention:  { days: 90 }
capture:    { prompts: false, responses: false }

Security

• Binds to 127.0.0.1 by default.
• Stores everything locally; no account, cloud service, or telemetry.
• Uses LiteLLM's installed pricing map instead of runtime pricing fetches.

Full threat model in SECURITY.md.

Status

v0.0.x — alpha. Strongest today for Codex, Claude Code, OpenAI-/Anthropic-/Gemini-compatible SDKs, and other LiteLLM-supported providers routed through the proxy.

Contributing

python -m venv .venv && . .venv/bin/activate
pip install -e ".[dev]"
ruff check src tests
pytest -q

See CONTRIBUTING.md.

License

MIT. Bundled open-source dependencies are credited in NOTICES.md.