chore: import upstream snapshot with attribution
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# A2UI Restaurant finder and table reservation agent sample.
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This sample uses the Agent Development Kit (ADK) along with the A2A protocol to create a simple "Restaurant finder and table reservation" agent that is hosted as an A2A server.
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## Prerequisites
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- Python 3.9 or higher
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- [UV](https://docs.astral.sh/uv/)
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- Access to an LLM and API Key
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## Running the Sample
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1. Navigate to the samples directory:
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```bash
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cd a2a_samples/a2ui_restaurant_finder
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```
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2. Create an environment file with your API key:
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```bash
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echo "GEMINI_API_KEY=your_api_key_here" > .env
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```
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3. Run the agent server:
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```bash
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uv run .
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```
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## Disclaimer
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Important: The sample code provided is for demonstration purposes and illustrates the mechanics of the Agent-to-Agent (A2A) protocol. When building production applications, it is critical to treat any agent operating outside of your direct control as a potentially untrusted entity.
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All data received from an external agent—including but not limited to its AgentCard, messages, artifacts, and task statuses—should be handled as untrusted input. For example, a malicious agent could provide an AgentCard containing crafted data in its fields (e.g., description, name, skills.description). If this data is used without sanitization to construct prompts for a Large Language Model (LLM), it could expose your application to prompt injection attacks. Failure to properly validate and sanitize this data before use can introduce security vulnerabilities into your application.
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Developers are responsible for implementing appropriate security measures, such as input validation and secure handling of credentials to protect their systems and users.
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