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🤖 Tinygent is a tiny agentic framework - lightweight, easy to use (hopefully), and efficient (also hopefully ;-0) library for building and deploying generative AI applications. It provides a simple interface for working with various models and tools, making it ideal for developers who want to quickly prototype and deploy AI solutions.
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Tinygent is a tiny agentic framework - lightweight, easy to use (hopefully), and efficient (also hopefully ;-0) library for building and deploying generative AI applications. It provides a simple interface for working with various models and tools, making it ideal for developers who want to quickly prototype and deploy AI solutions.
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## 🎯 Create an agent
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## Create an agent
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```python
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# uv sync --extra openai
@@ -38,16 +38,16 @@ agent = build_agent(
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print(agent.run('What is the weather like in Prague?'))
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```
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## 🚀 Getting Started
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## Getting Started
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### 📋 Prerequisites
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### Prerequisites
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Before you begin using tinygent, ensure that you meet the following software prerequisites.
Tinygent uses a registry-based plugin architecture: **Packages** register components into the **Runtime**. **Factories** query the Runtime to build **Components**for your code.
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## 💡 Examples (Quick Start)
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## Examples (Quick Start)
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1. 🔑 Ensure you have set the `OPENAI_API_KEY` environment variable to allow the example to use OpenAI's API. An API key can be obtained from [`openai.com`](https://openai.com/).
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1. Ensure you have set the `OPENAI_API_KEY` environment variable to allow the example to use OpenAI's API. An API key can be obtained from [`openai.com`](https://openai.com/).
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