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<h1>Getting Started</h1>
<h2 id="getting-started">Getting started</h2>
<ul>
<li>✨ <strong>Start from an idea → Copilot builds your multi-agent workflows</strong><br />
E.g. "Build me an assistant for a food delivery company to handle delivery status and missing items. Include the necessary tools."</li>
<li>🌐 <strong>Connect MCP servers</strong><br />
Add the MCP servers in Settings → import the tools into Rowboat.</li>
<li>📞 <strong>Integrate into your app using the HTTP API or Python SDK</strong><br />
Grab the Project ID and generated API Key from Settings and use the API.</li>
</ul>
<p>Powered by OpenAI's Agents SDK, Rowboat is the fastest way to build multi-agents!</p>
<h2 id="quick-start">Quick start</h2>
<p>Step 1. Set your OpenAI key:</p>
<pre><code class="language-bash">export OPENAI_API_KEY=your-openai-api-key
</code></pre>
<p>Step 2. Clone the repository and start Rowboat docker</p>
<pre><code class="language-bash">git clone git@github.com:rowboatlabs/rowboat.git
cd rowboat
docker-compose up --build
</code></pre>
<p>Step 3. Access the app at <a href="http://localhost:3000">http://localhost:3000</a>.</p>
<p>Note: See the <a href="#using-custom-llm-providers">Using custom LLM providers</a> section below for using custom providers like OpenRouter and LiteLLM.</p>
<h2 id="demo">Demo</h2>
<h4 id="create-a-multi-agent-assistant-with-mcp-tools-by-chatting-with-rowboat">Create a multi-agent assistant with MCP tools by chatting with Rowboat</h4>
<p><a href="https://youtu.be/YRTCw9UHRbU"><img alt="Screenshot 2025-04-23 at 00 25 31" src="https://github.com/user-attachments/assets/c8a41622-8e0e-459f-becb-767503489866" /></a></p>
<h2 id="integrate-with-rowboat-agents">Integrate with Rowboat agents</h2>
<p>There are 2 ways to integrate with the agents you create in Rowboat</p>
<p><strong>Option #1: HTTP API</strong></p>
<p>You can use the API directly at <a href="http://localhost:3000/api/v1/">http://localhost:3000/api/v1/</a>. See <a href="https://docs.rowboatlabs.com/using_the_api/">API Docs</a> for details.</p>
<pre><code class="language-bash">curl --location 'http://localhost:3000/api/v1/&lt;PROJECT_ID&gt;/chat' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer &lt;API_KEY&gt;' \
--data '{
&quot;messages&quot;: [
{
&quot;role&quot;: &quot;user&quot;,
&quot;content&quot;: &quot;tell me the weather in london in metric units&quot;
}
],
&quot;state&quot;: null
}'
</code></pre>
<p><strong>Option #2: Python SDK</strong></p>
<p>You can use the included Python SDK to interact with the Agents</p>
<pre><code class="language-python">from rowboat import Client, StatefulChat
from rowboat.schema import UserMessage, SystemMessage
# Initialize the client
client = Client(
host=&quot;http://localhost:3000&quot;,
project_id=&quot;&lt;PROJECT_ID&gt;&quot;,
api_key=&quot;&lt;API_KEY&gt;&quot;
)
# Create a stateful chat session (recommended)
chat = StatefulChat(client)
response = chat.run(&quot;What's the weather in London?&quot;)
print(response)
# Or use the low-level client API
messages = [
SystemMessage(role='system', content=&quot;You are a helpful assistant&quot;),
UserMessage(role='user', content=&quot;Hello, how are you?&quot;)
]
# Get response
response = client.chat(messages=messages)
print(response.messages[-1].content)
</code></pre>
<h2 id="using-custom-llm-providers">Using custom LLM providers</h2>
<p>By default, Rowboat uses OpenAI LLMs (gpt-4o, gpt-4.1, etc.) for both agents and copilot, when you export your OPENAI_API_KEY. </p>
<p>However, you can also configure custom LLM providers (e.g. LiteLLM, OpenRouter) to use any of the hundreds of available LLMs beyond OpenAI, such as Claude, DeepSeek, Ollama LLMs and so on.</p>
<p><strong>Step 1:</strong> Set up your custom LLM provider using the variables below, for example (assuming LiteLLM):</p>
<pre><code class="language-bash">export PROVIDER_BASE_URL=http://host.docker.internal:4000/
export PROVIDER_API_KEY=sk-1234
</code></pre>
<p>Rowboat uses "gpt-4.1" as the default model for agents and copilot but this can be overridden as follows, for example (assuming LiteLLM):</p>
<pre><code class="language-bash">export PROVIDER_DEFAULT_MODEL=claude-3-7-sonnet-latest
export PROVIDER_COPILOT_MODEL=gpt-4o
</code></pre>
<p><strong>Notes:</strong></p>
<ul>
<li>Copilot is optimized for gpt-4o/gpt-4.1. We strongly recommend using these models for best performance.</li>
<li>You can specify different models for the copilot and each agent, but all of them must belong to the same provider (e.g. LiteLLM)</li>
<li>The integration is provider-agnostic and should work with any service that implements the OpenAI messages format.</li>
<li>OpenAI-specific tools (e.g., web_search) will not work with non-OpenAI providers. If you get an error, remove these tools.</li>
</ul>
<p><strong>Step 2 (No change):</strong> Clone the repository and start Rowboat docker</p>
<pre><code class="language-bash">git clone git@github.com:rowboatlabs/rowboat.git
cd rowboat
docker-compose up --build
</code></pre>
<p><strong>Step 3 (No change):</strong> Access the app at <a href="http://localhost:3000">http://localhost:3000</a>.</p>
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