tokenpak 1.3.2

Slash LLM costs with intelligent context compression, smart routing, and cost tracking

TokenPak — Cut your LLM token spend by 30–50%, zero config

TokenPak is a local proxy that compresses your LLM context before it hits the API — fewer tokens, lower cost, same results. No code changes, no cloud, no credentials stored.

Status: early preview. Core compression engine and proxy are in place. Per-client auto-integration (the tokenpak integrate command) is not yet shipped — configure your client manually by pointing it at http://127.0.0.1:8766. See QUICKSTART at https://github.com/tokenpak/docs (rendered at tokenpak.ai/quickstart).

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Quick start

pip install tokenpak
tokenpak start                      # start the local proxy at 127.0.0.1:8766

Point your LLM client at the proxy. For example, the Anthropic SDK:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8766

Or for OpenAI-compatible clients:

export OPENAI_BASE_URL=http://127.0.0.1:8766

Then use your client normally. TokenPak compresses requests on the way out and logs savings to a local SQLite ledger.

See QUICKSTART at https://github.com/tokenpak/docs (rendered at tokenpak.ai/quickstart) for per-client setup (Claude Code, Cursor, Aider, and others).

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What savings look like

After a few proxied requests, tokenpak savings reports the cumulative reduction:

┌──────────────────────────────────────────────────────┐
│  TokenPak — Savings                                  │
├──────────────────────────────────────────────────────┤
│  Sample scenario       DevOps agent (config + logs)  │
│  Savings drivers                      dedup + alias  │
├──────────────────────────────────────────────────────┤
│  Original                                747 tokens  │
│  Compressed                              502 tokens  │
│  Saved                          245 tokens  (32.8%)  │
│  Cost saved (est.)                $0.00073 per call  │
├──────────────────────────────────────────────────────┤
│  Stages: dedup, alias, segmentize, directives        │
└──────────────────────────────────────────────────────┘

Actual numbers depend on your workload. Agent-style prompts with lots of repeated context see the biggest gains.

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Works with

Any LLM client that respects a custom base URL:

Claude Code · Cursor · Cline · Continue.dev · Aider · OpenAI SDK · Anthropic SDK · LiteLLM · Codex

Per-client configuration steps are in QUICKSTART at https://github.com/tokenpak/docs (rendered at tokenpak.ai/quickstart). Auto-wiring via a single tokenpak integrate <client> command is tracked for a future release.

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Install

pip install tokenpak

TokenPak's runtime dependencies include anthropic, openai, fastapi, flask, litellm, llmlingua, pandas, pydantic, requests, rich, scipy, sentence-transformers, tree-sitter-languages, watchdog, and a few others — all installed automatically. Note that sentence-transformers and scipy are large (several hundred MB of dependencies); expect pip install to take a few minutes on first install.

Requires Python 3.10+.

See QUICKSTART at https://github.com/tokenpak/docs (rendered at tokenpak.ai/quickstart) for virtual-env setup and first-run details.

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What's included

• Context compression — deterministic pipeline (dedup → alias → segmentize → directives); typical 30–50% token reduction on agent workloads.
• Local proxy — runs at 127.0.0.1:8766; zero cloud component.
• Model routing — configurable rules with fallback chains.
• Cost & savings tracking — per model, per session, per agent; local SQLite (~/.tokenpak/monitor.db).
• Dashboard — local web UI for visualizing savings (tokenpak dashboard).
• Vault indexing + semantic search — index a directory; search without an LLM call.
• A/B testing and request replay — compare compression configs; re-run past requests.
• 50 built-in compression recipes — YAML, customizable.

See QUICKSTART at https://github.com/tokenpak/docs (rendered at tokenpak.ai/quickstart) and API reference at https://github.com/tokenpak/docs (rendered at tokenpak.ai/api) to get started.

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Current limitations

Honest about what isn't ready yet:

• No tokenpak integrate <client> auto-wire command — configure clients by env var as shown above. Auto-wire is planned.
• No published CI/CD — releases are manual; automation is tracked in the release-workflow standards.
• tokenpak demo is a compression-recipes demo (shows recipes applied to a sample input), not the decorated savings panel above. The panel shows what tokenpak savings output can look like after real usage.

We'd rather ship an honest preview than an advertised product that doesn't match install-time reality.

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Support

• Docs: QUICKSTART at https://github.com/tokenpak/docs (rendered at tokenpak.ai/quickstart) · API reference at https://github.com/tokenpak/docs (rendered at tokenpak.ai/api) · FAQ at https://github.com/tokenpak/docs (rendered at tokenpak.ai/faq)
• Issues: github.com/tokenpak/tokenpak/issues
• Discussions: github.com/tokenpak/tokenpak/discussions
• Email: [e-mail]

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License

Apache 2.0. See LICENSE.