trazo is an open-source project built for AI developers and researchers working with agent pipelines.

Yes — trazo is open source under the MIT license and free to use.

What platforms does trazo run on?

trazo runs on the command line.

Is trazo still active?

The GitHub repository shows 22 commits in the last 90 days.

trazo is developed by Vikhram-S.

Is trazo open source?

Yes — trazo is open source under the MIT license, developed on GitHub.

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trazo

Name: trazo
Author: Vikhram-S

PyPIInfrastructure

trazo is an open-source CLI tool for tracing execution and performing semantic diffs in LLM agent pipelines. It helps developers and researchers debug, analyze, and observe agent workflows, supporting local-first workflows and integration with popular AI frameworks.

Open SourceMITCLI

Visit PyPI

2stars

5features

2026since

Overview

5 features

trazo sits in PulseGate's LLM eval & observability category. It focuses on debugging and analyzing execution flows and semantic changes in LLM agent pipelines. It is built as an open-source project for AI developers and researchers working with agent pipelines. The project is open source (MIT). trazo is available on the command line.

Vikhram-S builds and maintains trazo, and it first shipped in 2026. The project is developed in the open on GitHub with 22 commits in the last 90 days. Among its 5 catalogued features are execution tracing, semantic diff, and agent pipeline analysis.

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

Execution tracing
Semantic diff
Agent pipeline analysis
LLM observability
Debugging tools

Built with & integrations

Framework

FastAPI

AI providers

openailocal_oss

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed29 Jun · 17:14 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about trazo

What is trazo?: Trazo focuses on debugging and analyzing execution flows and semantic changes in LLM agent pipelines. It is catalogued under LLM eval & observability on PulseGate.
Who is trazo for?: trazo is an open-source project built for AI developers and researchers working with agent pipelines.
Is trazo free?: Yes — trazo is open source under the MIT license and free to use.
What platforms does trazo run on?: trazo runs on the command line.
Is trazo still active?: The GitHub repository shows 22 commits in the last 90 days.
Who develops trazo?: trazo is developed by Vikhram-S.
How long has trazo been around?: trazo first shipped in 2026.
Is trazo open source?: Yes — trazo is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 2
License: MIT
Built for: AI developers and researchers working with agent pipelines
Model: Open source
Solves: Debugging and analyzing execution flows and semantic changes in LLM agent pipelines.

Registered as

GitHub: Vikhram-S/trazo-dev
PyPI: trazo

Developer

Vikhram-S

Solo developer

GitHub

Open source

View on GitHub

Stars: 2
Forks: 0
Open issues: 0
Last commit: 5 May 2026
Commits 90d: 22
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Identity confidence: Low · 64
Indexed: 29 Jun 2026
Lifecycle: Alive
Last seen: 29 Jun 2026

Identity audit (12)

Slug: trazo-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 29 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/trazo

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