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tokenbill

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on PyPI and has been in the index since 28 Jul 2026. How this is checked

Tokenbill profiles LLM agent execution traces to reveal token waterfalls, re-sent prefix waste, prompt-cache behavior, and cache-breaker patterns. It provides concrete recommendations for reducing costs and is implemented in pure Python stdlib with no API keys required for the core library. The tool is especially useful for developers building and optimizing autonomous AI agents.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

4 features

Purpose: Understanding and reducing unexpectedly high token costs and inefficiencies in LLM agent workflows.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: analytics, monitoring

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

tokenbill sits in PulseGate's LLM & agent tracing category. Inferred · not functionally tested: It focuses on understanding and reducing unexpectedly high token costs and inefficiencies in LLM agent workflows. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: tokenbill is open source under the MIT license. Basis unknown · not verified: It ships for the command line.

tokenbill first shipped in 2026. Inferred · not functionally tested: Among its 4 catalogued features are token usage profiling, prompt cache simulation, and cache-breaker detection.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Token usage profiling
  • Prompt cache simulation
  • Cache-breaker detection
  • Cost waterfall analysis

Topics: Inferred · not functionally tested

Tags
llm-observabilitytoken-profilingprompt-cachingagent-cost-analysisfinops
AI capabilities
Text
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropic
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen Source

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed28 Sep · 16:53 UTC
    tokenbill seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed28 Jul · 05:01 UTC
    tokenbill seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about tokenbill

What is tokenbill?
Inferred · not functionally tested: Tokenbill focuses on understanding and reducing unexpectedly high token costs and inefficiencies in LLM agent workflows. It is catalogued under LLM & agent tracing on PulseGate.
Who should use tokenbill?
Inferred · not functionally tested: tokenbill is an open-source project built for developers.
Does tokenbill have a free plan?
Basis unknown · not verified: Yes — tokenbill is open source under the MIT license and free to use.
What platforms does tokenbill run on?
Basis unknown · not verified: tokenbill runs on the command line.
Is tokenbill still active?
PulseGate's liveness check found it on 14 Sep 2026.
How long has tokenbill been around?
tokenbill first shipped in 2026.
Is tokenbill open source?
Basis unknown · not verified: Yes — tokenbill is open source under the MIT license.

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