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VITNA

costrinity.xyzInfrastructure

No liveness check has reached it yet; it is registered on PyPI and has been in the index since 11 Oct 2026. How this is checked

VITNA is an MIT-licensed Python package that checks AI agent tool calls before execution and pauses risky calls for human approval. It provides adapters for LangChain, LangGraph, OpenAI Agents SDK, Pydantic AI, Microsoft Agent Framework, Google ADK, and CrewAI.

Inferred · not functionally tested

Open SourceMITWebCLISelf-hostedAPI
VITNA preview
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Overview

6 features

Purpose: Preventing AI agents from executing risky tool calls without human approval.

Inferred · not functionally tested

Audience: AI agent developers and engineering teams

Inferred · not functionally tested

Functions: agents

Inferred · not functionally tested

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

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

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: vitna.costrinity.xyz. These links do not verify the individual claims.

In the AI security & guardrails space, VITNA takes a focused approach. Inferred · not functionally tested: It focuses on preventing AI agents from executing risky tool calls without human approval. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and engineering teams. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: VITNA is available on the web, the command line, and API, and it can be self-hosted.

It is developed by VITNA maintainers, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are tool call checks, human approval, and fail-closed execution. Inferred · not functionally tested: Catalogued interfaces include a public API.

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

Tasks: Inferred · not functionally tested

  • Tool call checks
  • Human approval
  • Fail-closed execution
  • Agent adapters
  • Risk marking
  • Tool containment

Topics: Inferred · not functionally tested

Tags
agent-containmenthuman-in-the-looptool-call-approvalfail-closed-security
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
API
Runs on
BrowserCLISelf-hostedAPI-only

Trust & compliance

License
MIT
Public signals
HTTPSOpen Source

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed11 Oct · 07:20 UTC
    vitna seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about VITNA

What does VITNA do?
Inferred · not functionally tested: VITNA focuses on preventing AI agents from executing risky tool calls without human approval. It is catalogued under AI security & guardrails on PulseGate.
Who is VITNA for?
Inferred · not functionally tested: VITNA is an open-source project built for AI agent developers and engineering teams.
Is VITNA free?
Basis unknown · not verified: Yes — VITNA is open source under the MIT license and free to use.
What platforms does VITNA run on?
Basis unknown · not verified: VITNA runs on the web, the command line, and API. It can also be self-hosted.
Is VITNA still maintained?
Unverified. VITNA has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who makes VITNA?
VITNA is developed by VITNA maintainers.
How long has VITNA been around?
VITNA first shipped in 2026.
Is VITNA open source?
Basis unknown · not verified: Yes — VITNA is open source under the MIT license.

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