Skip to content
Back to the index

provekit

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 18 Jul 2026. How this is checked

provekit is an open-source Python package that enables developers to test and evaluate AI agents, including LLM, MCP, HTTP, and agent-to-agent workflows. It integrates with CI pipelines to automate agent validation and supports prompt evaluation and protocol compliance. Designed for AI developers and ML engineers seeking robust agent testing.

Inferred · not functionally tested

Open SourceMITCLIAPISelf-hosted
Visit PyPI

Overview

6 features

Purpose: Ensuring AI agents function correctly by providing automated testing and evaluation tools for agent workflows.

Inferred · not functionally tested

Audience: AI developers and ML engineers

Inferred · not functionally tested

Functions: analytics, monitoring

Inferred · not functionally tested

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

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

Constraint provenance is unknown; confirm requirements with the publisher.

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

provekit is an Agent evaluation & testing project. Inferred · not functionally tested: It focuses on ensuring AI agents function correctly by providing automated testing and evaluation tools for agent workflows. Inferred · not functionally tested: It is built as an open-source project for AI developers and ML engineers. Basis unknown · not verified: provekit is open source under the MIT license. Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

Behind provekit is MobirizerServices, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are agent testing, CI integration, and prompt evaluation. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • Agent testing
  • CI integration
  • Prompt evaluation
  • LLM support
  • MCP protocol
  • HTTP agent support

Topics: Inferred · not functionally tested

Tags
agent-testingllm-evaluationci-integrationmcp-supportprompt-testing
AI capabilities
CodeText

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed18 Jul · 13:16 UTC
    provekit seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about provekit

What is provekit?
Inferred · not functionally tested: Provekit focuses on ensuring AI agents function correctly by providing automated testing and evaluation tools for agent workflows. It is catalogued under Agent evaluation & testing on PulseGate.
Who is provekit for?
Inferred · not functionally tested: provekit is an open-source project built for AI developers and ML engineers.
Does provekit have a free plan?
Basis unknown · not verified: Yes — provekit is open source under the MIT license and free to use.
What platforms does provekit run on?
Basis unknown · not verified: provekit runs on the command line and API. It can also be self-hosted.
Is provekit still active?
PulseGate's liveness check found it on 14 Sep 2026.
What projects are similar to provekit?
Similar projects tracked by PulseGate include proofkit, agent-probe-ai, and agentcikit.proofkitagent-probe-aiagentcikit
Who makes provekit?
provekit is developed by MobirizerServices.
How long has provekit been around?
provekit first shipped in 2026.

Similar projects

Closest matches by what these projects do