chore: import upstream snapshot with attribution
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# Summary Generator multi-agent workflow with ACP
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A simple demonstration of the Agent Communication Protocol (ACP), showcasing how two agents built using different frameworks (CrewAI and Smolagents) can collaborate seamlessly to generate and verify a research summary.
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---
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## Setup and Installation
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1. **Install Ollama:**
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```bash
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# Setting up Ollama on linux
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curl -fsSL https://ollama.com/install.sh | sh
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# Pull the Qwen2.5 model
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ollama pull qwen2.5:14b
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```
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2. **Install project dependencies:**
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Ensure you have Python 3.10 or later installed on your system.
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First, install `uv` and set up the environment:
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```bash
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# MacOS/Linux
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curl -LsSf https://astral.sh/uv/install.sh | sh
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# Windows
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powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
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```
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Install dependencies:
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```bash
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# Create a new directory for our project
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uv init acp-project
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cd acp-project
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# Create virtual environment and activate it
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uv venv
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source .venv/bin/activate # MacOS/Linux
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.venv\Scripts\activate # Windows
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# Install dependencies
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uv add acp-sdk crewai smolagents duckduckgo-search ollama
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```
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You can also use any other LLM providers such as OpenAI or Anthropic. Create a `.env` file and add your API keys
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```
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OPENAI_API_KEY=your_openai_key
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ANTHROPIC_API_KEY=your_anthropic_key
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```
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## Usage
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Start the two ACP servers in separate terminals:
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```bash
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# Terminal 1
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uv run crew_acp_server.py
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# Terminal 2
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uv run smolagents_acp_server.py
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```
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Run the ACP client to trigger the agent workflow:
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```bash
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uv run acp_client.py
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```
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Output:
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A general summary from the first agent
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A fact-checked and updated version from the second agent
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## 📬 Stay Updated with Our Newsletter!
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**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
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[](https://join.dailydoseofds.com)
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---
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## Contribution
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
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