81 lines
1.4 KiB
Markdown
81 lines
1.4 KiB
Markdown
# AgentLite Examples
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This directory contains examples demonstrating various features of AgentLite.
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## Setup
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Before running the examples, set your OpenAI API key:
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```bash
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export OPENAI_API_KEY="sk-..."
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```
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Or create a `.env` file:
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```
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OPENAI_API_KEY=sk-...
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```
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## Examples
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### 1. Single Agent (`single_agent.py`)
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Basic usage of a single agent with conversation history.
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```bash
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python examples/single_agent.py
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```
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### 2. Multi-Agent (`multi_agent.py`)
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Multiple specialized agents working together on a task.
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```bash
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python examples/multi_agent.py
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```
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### 3. Custom Tools (`custom_tools.py`)
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Defining and using custom tools with agents.
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```bash
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python examples/custom_tools.py
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```
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### 4. MCP Tools (`mcp_tools.py`)
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Using tools from MCP (Model Context Protocol) servers.
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**Prerequisites:**
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- Node.js installed
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- MCP filesystem server: `npm install -g @modelcontextprotocol/server-filesystem`
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```bash
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python examples/mcp_tools.py
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```
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## Creating Your Own
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Use these examples as templates for your own applications:
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```python
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import asyncio
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from agentlite import Agent, OpenAIProvider
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async def main():
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provider = OpenAIProvider(
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api_key="your-api-key",
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model="gpt-4",
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)
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agent = Agent(
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provider=provider,
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system_prompt="Your system prompt here.",
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)
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response = await agent.run("Your question here")
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print(response)
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asyncio.run(main())
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```
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