---
id: a2ui-agent-sdk
version: "0.5.0"
license: unclear
license_treatment: unclear
maintenance: active
---

# a2ui-agent-sdk — A2UI Agent SDK

License: unclear · Maintenance: active · Downloads: 184.3K/mo

## What it is and what it does

The a2ui-agent-sdk is a Python framework for building agents that communicate via the A2UI protocol, which standardizes how agents exchange UI definitions and structured data. It provides schema management (loading and validating A2UI message schemas), incremental parsing with automatic JSON repair, and integration with Google's Agent Development Kit (ADK) to send UI to clients via tool calls. The package includes a basic catalog of standard A2UI components and utilities for managing A2A (Agent-to-Agent) protocol extensions.

The SDK is designed for developers building multi-agent systems where agents need to render user interfaces or exchange structured information. It handles the low-level protocol details—schema validation, payload repair, and streaming parsing—so you can focus on agent logic. The package explicitly warns that external agent data and UI definitions must be treated as untrusted input and properly sanitized to prevent prompt injection, XSS, and spoofing attacks.

Use it for:

- Build an agent that generates and sends UI components to clients through the A2A protocol using SendA2uiToClientToolset.
- Validate LLM-generated A2UI payloads against JSON schemas and automatically repair common formatting errors.
- Parse streaming LLM responses incrementally while validating them against A2UI protocol rules in real time.
- Manage catalogs of reusable A2UI component definitions and generate system prompts for LLMs that produce A2UI output.
- Integrate a multi-agent system where agents exchange structured data and UI definitions via the A2A protocol.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Python SDK components for building agents that generate and manage A2UI (Agent-to-Agent UI) protocol messages, including schema validation, parsing, and integration with Google's Agent Development Kit.

Yes, if you are building agents that need to exchange UI or structured data via the A2UI/A2A protocols and are willing to verify the license status. The package is actively maintained, has low install friction, and provides essential protocol handling. However, do not install without clarifying the license terms and understanding the security warnings about untrusted agent data—this is not a general-purpose UI library.

## Install

pip install a2ui-agent-sdk
uv add a2ui-agent-sdk
poetry add a2ui-agent-sdk

## Installing a2ui-agent-sdk

Before you install: Low install friction with a pure-Python wheel distribution. Active maintenance with a release 14 days old. Requires Python 3.10 or later and six runtime dependencies including google-genai and a2a-sdk.

License in practice: License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before using in production or proprietary projects.

Quickstart:

pip install a2ui-agent-sdk

from a2ui.schema import A2uiSchemaManager
from a2ui.parser import parse_response

manager = A2uiSchemaManager()
result = parse_response(llm_output, manager)

Requires Python 3.10 or later. Depends on google-genai and a2a-sdk, which may require additional setup or credentials.

Verify before relying:

- Whether the package is open-source or proprietary, given the missing license metadata.
- Whether google-genai and google-adk require API keys or authentication setup beyond installation.
- Production readiness status—the disclaimer warns against untrusted agents but does not clarify the SDK's own maturity level.

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 184.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

A2UI agent SDK, agent-to-agent UI protocol, LLM agent UI generation, A2A protocol implementation, agent schema validation, agent development kit integration, AI agent UI framework, agent-framework, protocol-implementation, llm-integration

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