mirror of
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99 lines
3.3 KiB
Markdown
99 lines
3.3 KiB
Markdown
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<h2 align="center">Let AI build multi-agent workflows for you in minutes</h2>
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<h5 align="center">
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[Quickstart](#quick-start) | [Docs](https://docs.rowboatlabs.com/) | [Website](https://www.rowboatlabs.com/) | [Discord](https://discord.gg/jHhUKkKHn8)
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</h5>
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- ✨ **Start from an idea -> copilot builds your multi-agent workflows**
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- E.g. "Build me an assistant for a food delivery company to handle delivery status and missing items. Include the necessary tools."
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- 🌐 **Connect MCP servers**
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- Add the MCP servers in settings -> import the tools into Rowboat.
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- 📞 **Integrate into your app using the HTTP API or Python SDK**
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- Grab the project ID and generated API key from settings and use the API.
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Powered by OpenAI's Agents SDK, Rowboat is the fastest way to build multi-agents!
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## Quick start
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1. Set your OpenAI key
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```bash
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export OPENAI_API_KEY=your-openai-api-key
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```
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2. Clone the repository and start Rowboat docker
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```bash
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git clone git@github.com:rowboatlabs/rowboat.git
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cd rowboat
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docker-compose up --build
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```
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3. Access the app at [http://localhost:3000](http://localhost:3000).
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Note: See the [Using custom LLM providers](https://docs.rowboatlabs.com/setup/#using-custom-llm-providers) section of our docs for using custom providers like OpenRouter and LiteLLM.
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## Demo
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#### Create a multi-agent assistant with MCP tools by chatting with Rowboat
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[](https://youtu.be/YRTCw9UHRbU)
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## Integrate with Rowboat agents
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There are 2 ways to integrate with the agents you create in Rowboat
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1. HTTP API
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- You can use the API directly at [http://localhost:3000/api/v1/](http://localhost:3000/api/v1/)
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- See [API Docs](https://docs.rowboatlabs.com/using_the_api/) for details
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```bash
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curl --location 'http://localhost:3000/api/v1/<PROJECT_ID>/chat' \
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--header 'Content-Type: application/json' \
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--header 'Authorization: Bearer <API_KEY>' \
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--data '{
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"messages": [
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{
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"role": "user",
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"content": "tell me the weather in london in metric units"
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}
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],
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"state": null
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}'
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```
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2. Python SDK
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You can use the included Python SDK to interact with the Agents
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```
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pip install rowboat
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```
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See [SDK Docs](https://docs.rowboatlabs.com/using_the_sdk/) for details. Here is a quick example:
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```python
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from rowboat import Client, StatefulChat
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from rowboat.schema import UserMessage, SystemMessage
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# Initialize the client
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client = Client(
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host="http://localhost:3000",
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project_id="<PROJECT_ID>",
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api_key="<API_KEY>"
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)
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# Create a stateful chat session (recommended)
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chat = StatefulChat(client)
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response = chat.run("What's the weather in London?")
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print(response)
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# Or use the low-level client API
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messages = [
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SystemMessage(role='system', content="You are a helpful assistant"),
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UserMessage(role='user', content="Hello, how are you?")
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]
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# Get response
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response = client.chat(messages=messages)
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print(response.messages[-1].content)
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```
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Refer to [Docs](https://docs.rowboatlabs.com/) to learn how to start building agents with Rowboat.
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