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## Add tools to agents
Copilot can help you add tools to agents. You can (a) add a mock tool, (b) add a tool from an MCP server, (c) integrate with you own tools using a webhook.
### Adding mock tools
You can mock any tool you have created by checking the 'Mock tool responses' option.
![Example Tool](img/mock-tool.png)
### Adding MCP tools
You can add a running MCP server in Settings -> Tools.
![Example Tool](img/add-mcp-server.png)
You can use [supergateway](https://github.com/supercorp-ai/supergateway) to expose any MCP stdio server as an SSE server.
Now, you can import the tools from the MCP server in the Build view.
![Example Tool](img/import-mcp-tools.png)
### Debug tool calls in the playground
When agents call tools during a chat in the playground, the tool call parameters and response are available for debugging real-time. For testing purposes, the platform can produce mock tool responses in the playground, without integrating actual tools.
![Mock Tool Responses](img/mock-response.png)

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<h1>Add tools</h1>
<h2 id="add-tools-to-agents">Add tools to agents</h2>
<p>In Rowboat, you can add tools to your agents by (a) selecting from a in-built library of MCP tools (b) adding your own customer MCP servers (c) integrating your APIs through a webhook (e) mocking tool calls to test the system.</p>
<h3 id="adding-mcp-tools">Adding MCP tools</h3>
<h4 id="hosted-mcp-library">Hosted MCP Library</h4>
<p>Rowboat has partnered with <img alt="Kavis AI" src="https://www.klavis.ai/" /> to provide a growing library of hosted MCP servers. You can obtain a Klavis API key and set it using:</p>
<pre><code class="language-bash">export KLAVIS_API_KEY=your-klavis-api-key
</code></pre>
<p><img alt="Library" src="../img/mcp-library.png" /></p>
<p>Enable any of the hosted MCP servers by clicking on the enable button. The server will take approximately 10 seconds to spin up.</p>
<p><img alt="Library" src="../img/enable-mcp-server.png" /></p>
<p>For most servers, you will need to authorize it by clicking on the 'Auth' button and connecting to your account e.g. connecting to you github or slack account</p>
<p>The servers you have enabled will show up under tools section in the build view and can be added to any of the agents.</p>
<p><img alt="Library" src="../img/mcp-tools-build-view.png" /></p>
<p>Note: For GSuite tools, you need to get a Google Client ID and set it using:</p>
<pre><code class="language-bash">export KLAVIS_GOOGLE_CLIENT_ID=your-google-client-id
</code></pre>
<p>To obtain a Google Client ID:
1. Go to the <a href="https://console.cloud.google.com">Google Cloud Console</a>
2. Create a new project or select an existing one
3. Go to "APIs &amp; Services" → "OAuth consent screen" and complete the setup
4. Go to "APIs &amp; Services" → "Credentials" → "OAuth client ID" and create credentials for web application.</p>
<h4 id="custom-mcp-server">Custom MCP Server</h4>
<p>You can add any running MCP server in Settings -&gt; Tools.</p>
<p><img alt="Example Tool" src="../img/add-mcp-server.png" /></p>
<p>You can use <a href="https://github.com/supercorp-ai/supergateway">supergateway</a> to expose any MCP stdio server as an SSE server.</p>
<p>Now, you can import the tools from the MCP server in the Build view.</p>
<p><img alt="Example Tool" src="../img/import-mcp-tools.png" /></p>
<h3 id="adding-mock-tools">Adding mock tools</h3>
<p>You can mock any tool you have created by checking the 'Mock tool responses' option.</p>
<p><img alt="Example Tool" src="../img/mock-tool.png" /></p>
<h3 id="debug-tool-calls-in-the-playground">Debug tool calls in the playground</h3>
<p>When agents call tools during a chat in the playground, the tool call parameters and response are available for debugging real-time. For testing purposes, the platform can produce mock tool responses in the playground, without integrating actual tools.</p>
<p><img alt="Mock Tool Responses" src="../img/mock-response.png" /></p>
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# Agents
## Overview
- Agents carry out a specific part of the conversation and / or perform tasks like orchestrating between other agents, triggering internal processes and fetching information.
- Agents carry out tasks through tools provided to them.
- Agents can be connected to other agents through a mention in the agent's instruction.
## Agent Configurations
### Description
The description conveys the agent's role in the multi-agent system. Writing a good description is important for other agents to know when to pass control of the conversation to an agent.
### Instructions
Agent instructions are the backbone of an agent, defining its behavior. RowBoat Studio's copilot produces a good framework for agent instructions, involving Role, Steps to Follow, Scope and Guidelines. Since agents are powered by LLMs, general best practices while writing prompts apply.
### Examples
The agent uses examples as a reference for behavior in different scenarios. While there are no prescribed formats to provide examples in, examples should include what the user might say, what the agent should respond with as well as indications of any tool calls to be made.
### Prompts
Prompts attached to an agent will be used by the agent in addition to instructions.
### Tools
Tools attached to an agent will be put out as tool calls. The behavior of when to invoke tools can be fine-tuned by specifying corresponding instructions or prompts. Adding examples to agents can also be useful in controlling tool call behavior.
### Connected Agents
In the agent instructions, the connected agents are shown with an '@mention'. If the agent mentioned in an instruction (connected agent) does not actually exist, the connected agent's name would show up with an '!' to call to attention.
### Model
RowBoat currently supports OpenAI LLMs. Agents can be configured to use GPT-4o or GPT-4o-mini.

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<h1 id="agents">Agents</h1>
<h2 id="overview">Overview</h2>
<ul>
<li>Agents carry out a specific part of the conversation and / or perform tasks like orchestrating between other agents, triggering internal processes and fetching information.</li>
<li>Agents carry out tasks through tools provided to them.</li>
<li>Agents can be connected to other agents through a mention in the agent's instruction.</li>
</ul>
<h2 id="agent-configurations">Agent Configurations</h2>
<h3 id="description">Description</h3>
<p>The description conveys the agent's role in the multi-agent system. Writing a good description is important for other agents to know when to pass control of the conversation to an agent.</p>
<h3 id="instructions">Instructions</h3>
<p>Agent instructions are the backbone of an agent, defining its behavior. RowBoat Studio's copilot produces a good framework for agent instructions, involving Role, Steps to Follow, Scope and Guidelines. Since agents are powered by LLMs, general best practices while writing prompts apply.</p>
<h3 id="examples">Examples</h3>
<p>The agent uses examples as a reference for behavior in different scenarios. While there are no prescribed formats to provide examples in, examples should include what the user might say, what the agent should respond with as well as indications of any tool calls to be made.</p>
<h3 id="prompts">Prompts</h3>
<p>Prompts attached to an agent will be used by the agent in addition to instructions.</p>
<h3 id="tools">Tools</h3>
<p>Tools attached to an agent will be put out as tool calls. The behavior of when to invoke tools can be fine-tuned by specifying corresponding instructions or prompts. Adding examples to agents can also be useful in controlling tool call behavior.</p>
<h3 id="connected-agents">Connected Agents</h3>
<p>In the agent instructions, the connected agents are shown with an '@mention'. If the agent mentioned in an instruction (connected agent) does not actually exist, the connected agent's name would show up with an '!' to call to attention.</p>
<h3 id="model">Model</h3>
<p>RowBoat currently supports OpenAI LLMs. Agents can be configured to use GPT-4o or GPT-4o-mini.</p>
</article>
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---
title: "Using the API"
description: "This is a guide on using the HTTP API to power conversations with the assistant created in Studio."
icon: "code"
---
## Deploy your assistant to production on Studio
<Frame>
<img src="/docs/img/prod-deploy.png" alt="Prod Deploy" />
</Frame>
## Obtain API key and Project ID
Generate API keys via the developer configs in your project. Copy the Project ID from the same page.
<Frame>
<img src="/docs/img/dev-config.png" alt="Developer Configs" />
</Frame>
## API Endpoint
```
POST <HOST>/api/v1/<PROJECT_ID>/chat
```
Where:
- For self-hosted: `<HOST>` is `http://localhost:3000`
## Authentication
Include your API key in the Authorization header:
```
Authorization: Bearer <API_KEY>
```
## Examples
### First Turn
```bash
curl --location '<HOST>/api/v1/<PROJECT_ID>/chat' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <API_KEY>' \
--data '{
"messages": [
{
"role": "user",
"content": "Hello, can you help me?"
}
],
"state": null
}'
```
Response:
```json
{
"messages": [
{
"role": "assistant",
"content": "Hello! Yes, I'd be happy to help you. What can I assist you with today?",
"agenticResponseType": "external"
}
],
"state": {
"last_agent_name": "MainAgent"
}
}
```
### Subsequent Turn
Notice how we include both the previous messages and the state from the last response:
```bash
curl --location '<HOST>/api/v1/<PROJECT_ID>/chat' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <API_KEY>' \
--data '{
"messages": [
{
"role": "user",
"content": "Hello, can you help me?"
},
{
"role": "assistant",
"content": "Hello! Yes, I'd be happy to help you. What can I assist you with today?",
"agenticResponseType": "external"
},
{
"role": "user",
"content": "What services do you offer?"
}
],
"state": {
"last_agent_name": "MainAgent"
}
}'
```
## API Specification
### Request Schema
```typescript
{
// Required fields
messages: Message[]; // Array of message objects representing the conversation history
state: any; // State object from previous response, or null for first message
// Optional fields
workflowId?: string; // Specific workflow ID to use (defaults to production workflow)
testProfileId?: string; // Test profile ID for simulation
}
```
### Message Types
Messages can be one of the following types:
1. System Message
```typescript
{
role: "system";
content: string;
}
```
2. User Message
```typescript
{
role: "user";
content: string;
}
```
3. Assistant Message
```typescript
{
role: "assistant";
content: string;
agenticResponseType: "internal" | "external";
agenticSender?: string | null;
}
```
### Response Schema
```typescript
{
messages: Message[]; // Array of new messages from this turn
state: any; // State object to pass in the next request
}
```
## Important Notes
1. Always pass the complete conversation history in the `messages` array
2. Always include the `state` from the previous response in your next request
3. The last message in the response's `messages` array will be a user-facing assistant message (`agenticResponseType: "external"`)
## Rate Limiting
The API has rate limits per project. If exceeded, you'll receive a 429 status code.
## Error Responses
- 400: Invalid request body or missing/invalid Authorization header
- 403: Invalid API key
- 404: Project or workflow not found
- 429: Rate limit exceeded

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---
title: "Using the SDK"
description: "This is a guide on using the RowBoat Python SDK as an alternative to the [RowBoat HTTP API](/using_the_api) to power conversations with the assistant created in Studio."
icon: "toolbox"
---
## Prerequisites
- ``` pip install rowboat ```
- [Deploy your assistant to production](/using_the_api/#deploy-your-assistant-to-production-on-studio)
- [Obtain your `<API_KEY>` and `<PROJECT_ID>`](/using_the_api/#obtain-api-key-and-project-id)
### API Host
- For the open source installation, the `<HOST>` is [http://localhost:3000](http://localhost:3000)
- When using the hosted app, the `<HOST>` is [https://app.rowboatlabs.com](https://app.rowboatlabs.com)
## Usage
### Basic Usage
The main way to interact with Rowboat is using the `Client` class, which provides a stateless chat API. You can manage conversation state using the `conversationId` returned in each response.
```python
from rowboat.client import Client
from rowboat.schema import UserMessage
# Initialize the client
client = Client(
host="<HOST>",
projectId="<PROJECT_ID>",
apiKey="<API_KEY>"
)
# Start a new conversation
result = client.run_turn(
messages=[
UserMessage(role='user', content="What is the capital of France?")
]
)
print(result.turn.output[-1].content)
# The capital of France is Paris.
print("Conversation ID:", result.conversationId)
# Continue the conversation by passing the conversationId
result = client.run_turn(
messages=[
UserMessage(role='user', content="What other major cities are in that country?")
],
conversationId=result.conversationId
)
print(result.turn.output[-1].content)
# Other major cities in France include Lyon, Marseille, Toulouse, and Nice.
result = client.run_turn(
messages=[
UserMessage(role='user', content="What's the population of the first city you mentioned?")
],
conversationId=result.conversationId
)
print(result.turn.output[-1].content)
# Lyon has a population of approximately 513,000 in the city proper.
```
### Using Tool Overrides (Mock Tools)
You can provide tool override instructions to test a specific configuration using the `mockTools` argument:
```python
result = client.run_turn(
messages=[
UserMessage(role='user', content="What's the weather?")
],
mockTools={
"weather_lookup": "The weather in any city is sunny and 25°C.",
"calculator": "The result of any calculation is 42."
}
)
print(result.turn.output[-1].content)
```
### Message Types
You can use different message types as defined in `rowboat.schema`, such as `UserMessage`, `SystemMessage`, `AssistantMessage`, etc. See `schema.py` for all available message types.
### Error Handling
If the API returns a non-200 status code, a `ValueError` will be raised with the error details.
---
For more advanced usage, see the docstrings in `client.py` and the message schemas in `schema.py`.

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* Lunr languages, `Danish` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hi=function(){this.pipeline.reset(),this.pipeline.add(e.hi.trimmer,e.hi.stopWordFilter,e.hi.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hi.stemmer))},e.hi.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.hi.trimmer=e.trimmerSupport.generateTrimmer(e.hi.wordCharacters),e.Pipeline.registerFunction(e.hi.trimmer,"trimmer-hi"),e.hi.stopWordFilter=e.generateStopWordFilter("अत अपना अपनी अपने अभी अंदर आदि आप इत्यादि इन इनका इन्हीं इन्हें इन्हों इस इसका इसकी इसके इसमें इसी इसे उन उनका उनकी उनके उनको उन्हीं उन्हें उन्हों उस उसके उसी उसे एक एवं एस ऐसे और कई कर करता करते करना करने करें कहते कहा का काफ़ी कि कितना किन्हें किन्हों किया किर किस किसी किसे की कुछ कुल के को कोई कौन कौनसा गया घर जब जहाँ जा जितना जिन जिन्हें जिन्हों जिस जिसे जीधर जैसा जैसे जो तक तब तरह तिन तिन्हें तिन्हों तिस तिसे तो था थी थे दबारा दिया दुसरा दूसरे दो द्वारा न नके नहीं ना निहायत नीचे ने पर पहले पूरा पे फिर बनी बही बहुत बाद बाला बिलकुल भी भीतर मगर मानो मे में यदि यह यहाँ यही या यिह ये रखें रहा रहे ऱ्वासा लिए लिये लेकिन व वग़ैरह वर्ग वह वहाँ वहीं वाले वुह वे वो सकता सकते सबसे सभी साथ साबुत साभ सारा से सो संग ही हुआ हुई हुए है हैं हो होता होती होते होना होने".split(" ")),e.hi.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.hi.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var t=i.toString().toLowerCase().replace(/^\s+/,"");return r.cut(t).split("|")},e.Pipeline.registerFunction(e.hi.stemmer,"stemmer-hi"),e.Pipeline.registerFunction(e.hi.stopWordFilter,"stopWordFilter-hi")}});

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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hy=function(){this.pipeline.reset(),this.pipeline.add(e.hy.trimmer,e.hy.stopWordFilter)},e.hy.wordCharacters="[A-Za-z԰-֏ff-ﭏ]",e.hy.trimmer=e.trimmerSupport.generateTrimmer(e.hy.wordCharacters),e.Pipeline.registerFunction(e.hy.trimmer,"trimmer-hy"),e.hy.stopWordFilter=e.generateStopWordFilter("դու և եք էիր էիք հետո նաև նրանք որը վրա է որ պիտի են այս մեջ ն իր ու ի այդ որոնք այն կամ էր մի ես համար այլ իսկ էին ենք հետ ին թ էինք մենք նրա նա դուք եմ էի ըստ որպես ում".split(" ")),e.Pipeline.registerFunction(e.hy.stopWordFilter,"stopWordFilter-hy"),e.hy.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}(),e.Pipeline.registerFunction(e.hy.stemmer,"stemmer-hy")}});

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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.ja=function(){this.pipeline.reset(),this.pipeline.add(e.ja.trimmer,e.ja.stopWordFilter,e.ja.stemmer),r?this.tokenizer=e.ja.tokenizer:(e.tokenizer&&(e.tokenizer=e.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.ja.tokenizer))};var t=new e.TinySegmenter;e.ja.tokenizer=function(i){var n,o,s,p,a,u,m,l,c,f;if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t.toLowerCase()):t.toLowerCase()});for(o=i.toString().toLowerCase().replace(/^\s+/,""),n=o.length-1;n>=0;n--)if(/\S/.test(o.charAt(n))){o=o.substring(0,n+1);break}for(a=[],s=o.length,c=0,l=0;c<=s;c++)if(u=o.charAt(c),m=c-l,u.match(/\s/)||c==s){if(m>0)for(p=t.segment(o.slice(l,c)).filter(function(e){return!!e}),f=l,n=0;n<p.length;n++)r?a.push(new e.Token(p[n],{position:[f,p[n].length],index:a.length})):a.push(p[n]),f+=p[n].length;l=c+1}return a},e.ja.stemmer=function(){return function(e){return e}}(),e.Pipeline.registerFunction(e.ja.stemmer,"stemmer-ja"),e.ja.wordCharacters="一二三四五六七八九十百千万億兆一-龠々〆ヵヶぁ-んァ-ヴーｱ-ﾝﾞa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ja.trimmer=e.trimmerSupport.generateTrimmer(e.ja.wordCharacters),e.Pipeline.registerFunction(e.ja.trimmer,"trimmer-ja"),e.ja.stopWordFilter=e.generateStopWordFilter("これ それ あれ この その あの ここ そこ あそこ こちら どこ だれ なに なん 何 私 貴方 貴方方 我々 私達 あの人 あのかた 彼女 彼 です あります おります います は が の に を で え から まで より も どの と し それで しかし".split(" ")),e.Pipeline.registerFunction(e.ja.stopWordFilter,"stopWordFilter-ja"),e.jp=e.ja,e.Pipeline.registerFunction(e.jp.stemmer,"stemmer-jp"),e.Pipeline.registerFunction(e.jp.trimmer,"trimmer-jp"),e.Pipeline.registerFunction(e.jp.stopWordFilter,"stopWordFilter-jp")}});

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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.kn=function(){this.pipeline.reset(),this.pipeline.add(e.kn.trimmer,e.kn.stopWordFilter,e.kn.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.kn.stemmer))},e.kn.wordCharacters="ಀ-಄ಅ-ಔಕ-ಹಾ-ೌ಼-ಽೕ-ೖೝ-ೞೠ-ೡೢ-ೣ೤೥೦-೯ೱ-ೳ",e.kn.trimmer=e.trimmerSupport.generateTrimmer(e.kn.wordCharacters),e.Pipeline.registerFunction(e.kn.trimmer,"trimmer-kn"),e.kn.stopWordFilter=e.generateStopWordFilter("ಮತ್ತು ಈ ಒಂದು ರಲ್ಲಿ ಹಾಗೂ ಎಂದು ಅಥವಾ ಇದು ರ ಅವರು ಎಂಬ ಮೇಲೆ ಅವರ ತನ್ನ ಆದರೆ ತಮ್ಮ ನಂತರ ಮೂಲಕ ಹೆಚ್ಚು ನ ಆ ಕೆಲವು ಅನೇಕ ಎರಡು ಹಾಗು ಪ್ರಮುಖ ಇದನ್ನು ಇದರ ಸುಮಾರು ಅದರ ಅದು ಮೊದಲ ಬಗ್ಗೆ ನಲ್ಲಿ ರಂದು ಇತರ ಅತ್ಯಂತ ಹೆಚ್ಚಿನ ಸಹ ಸಾಮಾನ್ಯವಾಗಿ ನೇ ಹಲವಾರು ಹೊಸ ದಿ ಕಡಿಮೆ ಯಾವುದೇ ಹೊಂದಿದೆ ದೊಡ್ಡ ಅನ್ನು ಇವರು ಪ್ರಕಾರ ಇದೆ ಮಾತ್ರ ಕೂಡ ಇಲ್ಲಿ ಎಲ್ಲಾ ವಿವಿಧ ಅದನ್ನು ಹಲವು ರಿಂದ ಕೇವಲ ದ ದಕ್ಷಿಣ ಗೆ ಅವನ ಅತಿ ನೆಯ ಬಹಳ ಕೆಲಸ ಎಲ್ಲ ಪ್ರತಿ ಇತ್ಯಾದಿ ಇವು ಬೇರೆ ಹೀಗೆ ನಡುವೆ ಇದಕ್ಕೆ ಎಸ್ ಇವರ ಮೊದಲು ಶ್ರೀ ಮಾಡುವ ಇದರಲ್ಲಿ ರೀತಿಯ ಮಾಡಿದ ಕಾಲ ಅಲ್ಲಿ ಮಾಡಲು ಅದೇ ಈಗ ಅವು ಗಳು ಎ ಎಂಬುದು ಅವನು ಅಂದರೆ ಅವರಿಗೆ ಇರುವ ವಿಶೇಷ ಮುಂದೆ ಅವುಗಳ ಮುಂತಾದ ಮೂಲ ಬಿ ಮೀ ಒಂದೇ ಇನ್ನೂ ಹೆಚ್ಚಾಗಿ ಮಾಡಿ ಅವರನ್ನು ಇದೇ ಯ ರೀತಿಯಲ್ಲಿ ಜೊತೆ ಅದರಲ್ಲಿ ಮಾಡಿದರು ನಡೆದ ಆಗ ಮತ್ತೆ ಪೂರ್ವ ಆತ ಬಂದ ಯಾವ ಒಟ್ಟು ಇತರೆ ಹಿಂದೆ ಪ್ರಮಾಣದ ಗಳನ್ನು ಕುರಿತು ಯು ಆದ್ದರಿಂದ ಅಲ್ಲದೆ ನಗರದ ಮೇಲಿನ ಏಕೆಂದರೆ ರಷ್ಟು ಎಂಬುದನ್ನು ಬಾರಿ ಎಂದರೆ ಹಿಂದಿನ ಆದರೂ ಆದ ಸಂಬಂಧಿಸಿದ ಮತ್ತೊಂದು ಸಿ ಆತನ ".split(" ")),e.kn.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.kn.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var n=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(n).split("|")},e.Pipeline.registerFunction(e.kn.stemmer,"stemmer-kn"),e.Pipeline.registerFunction(e.kn.stopWordFilter,"stopWordFilter-kn")}});

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!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){e.multiLanguage=function(){for(var t=Array.prototype.slice.call(arguments),i=t.join("-"),r="",n=[],s=[],p=0;p<t.length;++p)"en"==t[p]?(r+="\\w",n.unshift(e.stopWordFilter),n.push(e.stemmer),s.push(e.stemmer)):(r+=e[t[p]].wordCharacters,e[t[p]].stopWordFilter&&n.unshift(e[t[p]].stopWordFilter),e[t[p]].stemmer&&(n.push(e[t[p]].stemmer),s.push(e[t[p]].stemmer)));var o=e.trimmerSupport.generateTrimmer(r);return e.Pipeline.registerFunction(o,"lunr-multi-trimmer-"+i),n.unshift(o),function(){this.pipeline.reset(),this.pipeline.add.apply(this.pipeline,n),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add.apply(this.searchPipeline,s))}}}});

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/*!
* Lunr languages, `Norwegian` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.no=function(){this.pipeline.reset(),this.pipeline.add(e.no.trimmer,e.no.stopWordFilter,e.no.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.no.stemmer))},e.no.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.no.trimmer=e.trimmerSupport.generateTrimmer(e.no.wordCharacters),e.Pipeline.registerFunction(e.no.trimmer,"trimmer-no"),e.no.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(){var e,r=w.cursor+3;if(a=w.limit,0<=r||r<=w.limit){for(s=r;;){if(e=w.cursor,w.in_grouping(d,97,248)){w.cursor=e;break}if(e>=w.limit)return;w.cursor=e+1}for(;!w.out_grouping(d,97,248);){if(w.cursor>=w.limit)return;w.cursor++}a=w.cursor,a<s&&(a=s)}}function i(){var e,r,n;if(w.cursor>=a&&(r=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,e=w.find_among_b(m,29),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:n=w.limit-w.cursor,w.in_grouping_b(c,98,122)?w.slice_del():(w.cursor=w.limit-n,w.eq_s_b(1,"k")&&w.out_grouping_b(d,97,248)&&w.slice_del());break;case 3:w.slice_from("er")}}function t(){var e,r=w.limit-w.cursor;w.cursor>=a&&(e=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,w.find_among_b(u,2)?(w.bra=w.cursor,w.limit_backward=e,w.cursor=w.limit-r,w.cursor>w.limit_backward&&(w.cursor--,w.bra=w.cursor,w.slice_del())):w.limit_backward=e)}function o(){var e,r;w.cursor>=a&&(r=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,e=w.find_among_b(l,11),e?(w.bra=w.cursor,w.limit_backward=r,1==e&&w.slice_del()):w.limit_backward=r)}var s,a,m=[new r("a",-1,1),new r("e",-1,1),new r("ede",1,1),new r("ande",1,1),new r("ende",1,1),new r("ane",1,1),new r("ene",1,1),new r("hetene",6,1),new r("erte",1,3),new r("en",-1,1),new r("heten",9,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",12,1),new r("s",-1,2),new r("as",14,1),new r("es",14,1),new r("edes",16,1),new r("endes",16,1),new r("enes",16,1),new r("hetenes",19,1),new r("ens",14,1),new r("hetens",21,1),new r("ers",14,1),new r("ets",14,1),new r("et",-1,1),new r("het",25,1),new r("ert",-1,3),new r("ast",-1,1)],u=[new r("dt",-1,-1),new r("vt",-1,-1)],l=[new r("leg",-1,1),new r("eleg",0,1),new r("ig",-1,1),new r("eig",2,1),new r("lig",2,1),new r("elig",4,1),new r("els",-1,1),new r("lov",-1,1),new r("elov",7,1),new r("slov",7,1),new r("hetslov",9,1)],d=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,48,0,128],c=[119,125,149,1],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,i(),w.cursor=w.limit,t(),w.cursor=w.limit,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.no.stemmer,"stemmer-no"),e.no.stopWordFilter=e.generateStopWordFilter("alle at av bare begge ble blei bli blir blitt både båe da de deg dei deim deira deires dem den denne der dere deres det dette di din disse ditt du dykk dykkar då eg ein eit eitt eller elles en enn er et ett etter for fordi fra før ha hadde han hans har hennar henne hennes her hjå ho hoe honom hoss hossen hun hva hvem hver hvilke hvilken hvis hvor hvordan hvorfor i ikke ikkje ikkje ingen ingi inkje inn inni ja jeg kan kom korleis korso kun kunne kva kvar kvarhelst kven kvi kvifor man mange me med medan meg meget mellom men mi min mine mitt mot mykje ned no noe noen noka noko nokon nokor nokre nå når og også om opp oss over på samme seg selv si si sia sidan siden sin sine sitt sjøl skal skulle slik so som som somme somt så sånn til um upp ut uten var vart varte ved vere verte vi vil ville vore vors vort vår være være vært å".split(" ")),e.Pipeline.registerFunction(e.no.stopWordFilter,"stopWordFilter-no")}});

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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sa=function(){this.pipeline.reset(),this.pipeline.add(e.sa.trimmer,e.sa.stopWordFilter,e.sa.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sa.stemmer))},e.sa.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿ꣠-꣱ꣲ-ꣷ꣸-ꣻ꣼-ꣽꣾ-ꣿᆰ0-ᆰ9",e.sa.trimmer=e.trimmerSupport.generateTrimmer(e.sa.wordCharacters),e.Pipeline.registerFunction(e.sa.trimmer,"trimmer-sa"),e.sa.stopWordFilter=e.generateStopWordFilter('तथा अयम्‌ एकम्‌ इत्यस्मिन्‌ तथा तत्‌ वा अयम्‌ इत्यस्य ते आहूत उपरि तेषाम्‌ किन्तु तेषाम्‌ तदा इत्यनेन अधिकः इत्यस्य तत्‌ केचन बहवः द्वि तथा महत्वपूर्णः अयम्‌ अस्य विषये अयं अस्ति तत्‌ प्रथमः विषये इत्युपरि इत्युपरि इतर अधिकतमः अधिकः अपि सामान्यतया ठ इतरेतर नूतनम्‌ द न्यूनम्‌ कश्चित्‌ वा विशालः द सः अस्ति तदनुसारम् तत्र अस्ति केवलम्‌ अपि अत्र सर्वे विविधाः तत्‌ बहवः यतः इदानीम्‌ द दक्षिण इत्यस्मै तस्य उपरि नथ अतीव कार्यम्‌ सर्वे एकैकम्‌ इत्यादि। एते सन्ति उत इत्थम्‌ मध्ये एतदर्थं . स कस्य प्रथमः श्री. करोति अस्मिन् प्रकारः निर्मिता कालः तत्र कर्तुं समान अधुना ते सन्ति स एकः अस्ति सः अर्थात् तेषां कृते . स्थितम् विशेषः अग्रिम तेषाम्‌ समान स्रोतः ख म समान इदानीमपि अधिकतया करोतु ते समान इत्यस्य वीथी सह यस्मिन् कृतवान्‌ धृतः तदा पुनः पूर्वं सः आगतः किम्‌ कुल इतर पुरा मात्रा स विषये उ अतएव अपि नगरस्य उपरि यतः प्रतिशतं कतरः कालः साधनानि भूत तथापि जात सम्बन्धि अन्यत्‌ ग अतः अस्माकं स्वकीयाः अस्माकं इदानीं अन्तः इत्यादयः भवन्तः इत्यादयः एते एताः तस्य अस्य इदम् एते तेषां तेषां तेषां तान् तेषां तेषां तेषां समानः सः एकः च तादृशाः बहवः अन्ये च वदन्ति यत् कियत् कस्मै कस्मै यस्मै यस्मै यस्मै यस्मै न अतिनीचः किन्तु प्रथमं सम्पूर्णतया ततः चिरकालानन्तरं पुस्तकं सम्पूर्णतया अन्तः किन्तु अत्र वा इह इव श्रद्धाय अवशिष्यते परन्तु अन्ये वर्गाः सन्ति ते सन्ति शक्नुवन्ति सर्वे मिलित्वा सर्वे एकत्र"'.split(" ")),e.sa.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.sa.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var i=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(i).split("|")},e.Pipeline.registerFunction(e.sa.stemmer,"stemmer-sa"),e.Pipeline.registerFunction(e.sa.stopWordFilter,"stopWordFilter-sa")}});

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!function(r,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(r.lunr)}(this,function(){return function(r){r.stemmerSupport={Among:function(r,t,i,s){if(this.toCharArray=function(r){for(var t=r.length,i=new Array(t),s=0;s<t;s++)i[s]=r.charCodeAt(s);return i},!r&&""!=r||!t&&0!=t||!i)throw"Bad Among initialisation: s:"+r+", substring_i: "+t+", result: "+i;this.s_size=r.length,this.s=this.toCharArray(r),this.substring_i=t,this.result=i,this.method=s},SnowballProgram:function(){var r;return{bra:0,ket:0,limit:0,cursor:0,limit_backward:0,setCurrent:function(t){r=t,this.cursor=0,this.limit=t.length,this.limit_backward=0,this.bra=this.cursor,this.ket=this.limit},getCurrent:function(){var t=r;return r=null,t},in_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},in_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},out_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e>s||e<i)return this.cursor++,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},out_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e>s||e<i)return this.cursor--,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},eq_s:function(t,i){if(this.limit-this.cursor<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor+s)!=i.charCodeAt(s))return!1;return this.cursor+=t,!0},eq_s_b:function(t,i){if(this.cursor-this.limit_backward<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor-t+s)!=i.charCodeAt(s))return!1;return this.cursor-=t,!0},find_among:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=l;m<_.s_size;m++){if(n+l==u){f=-1;break}if(f=r.charCodeAt(n+l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n+_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n+_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},find_among_b:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit_backward,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=_.s_size-1-l;m>=0;m--){if(n-l==u){f=-1;break}if(f=r.charCodeAt(n-1-l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n-_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n-_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},replace_s:function(t,i,s){var e=s.length-(i-t),n=r.substring(0,t),u=r.substring(i);return r=n+s+u,this.limit+=e,this.cursor>=i?this.cursor+=e:this.cursor>t&&(this.cursor=t),e},slice_check:function(){if(this.bra<0||this.bra>this.ket||this.ket>this.limit||this.limit>r.length)throw"faulty slice operation"},slice_from:function(r){this.slice_check(),this.replace_s(this.bra,this.ket,r)},slice_del:function(){this.slice_from("")},insert:function(r,t,i){var s=this.replace_s(r,t,i);r<=this.bra&&(this.bra+=s),r<=this.ket&&(this.ket+=s)},slice_to:function(){return this.slice_check(),r.substring(this.bra,this.ket)},eq_v_b:function(r){return this.eq_s_b(r.length,r)}}}},r.trimmerSupport={generateTrimmer:function(r){var t=new RegExp("^[^"+r+"]+"),i=new RegExp("[^"+r+"]+$");return function(r){return"function"==typeof r.update?r.update(function(r){return r.replace(t,"").replace(i,"")}):r.replace(t,"").replace(i,"")}}}}});

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/*!
* Lunr languages, `Swedish` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sv=function(){this.pipeline.reset(),this.pipeline.add(e.sv.trimmer,e.sv.stopWordFilter,e.sv.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sv.stemmer))},e.sv.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.sv.trimmer=e.trimmerSupport.generateTrimmer(e.sv.wordCharacters),e.Pipeline.registerFunction(e.sv.trimmer,"trimmer-sv"),e.sv.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,t=new function(){function e(){var e,r=w.cursor+3;if(o=w.limit,0<=r||r<=w.limit){for(a=r;;){if(e=w.cursor,w.in_grouping(l,97,246)){w.cursor=e;break}if(w.cursor=e,w.cursor>=w.limit)return;w.cursor++}for(;!w.out_grouping(l,97,246);){if(w.cursor>=w.limit)return;w.cursor++}o=w.cursor,o<a&&(o=a)}}function t(){var e,r=w.limit_backward;if(w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(u,37),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.in_grouping_b(d,98,121)&&w.slice_del()}}function i(){var e=w.limit_backward;w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.find_among_b(c,7)&&(w.cursor=w.limit,w.ket=w.cursor,w.cursor>w.limit_backward&&(w.bra=--w.cursor,w.slice_del())),w.limit_backward=e)}function s(){var e,r;if(w.cursor>=o){if(r=w.limit_backward,w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(m,5))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.slice_from("lös");break;case 3:w.slice_from("full")}w.limit_backward=r}}var a,o,u=[new r("a",-1,1),new r("arna",0,1),new r("erna",0,1),new r("heterna",2,1),new r("orna",0,1),new r("ad",-1,1),new r("e",-1,1),new r("ade",6,1),new r("ande",6,1),new r("arne",6,1),new r("are",6,1),new r("aste",6,1),new r("en",-1,1),new r("anden",12,1),new r("aren",12,1),new r("heten",12,1),new r("ern",-1,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",18,1),new r("or",-1,1),new r("s",-1,2),new r("as",21,1),new r("arnas",22,1),new r("ernas",22,1),new r("ornas",22,1),new r("es",21,1),new r("ades",26,1),new r("andes",26,1),new r("ens",21,1),new r("arens",29,1),new r("hetens",29,1),new r("erns",21,1),new r("at",-1,1),new r("andet",-1,1),new r("het",-1,1),new r("ast",-1,1)],c=[new r("dd",-1,-1),new r("gd",-1,-1),new r("nn",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1),new r("tt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("els",-1,1),new r("fullt",-1,3),new r("löst",-1,2)],l=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,24,0,32],d=[119,127,149],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,t(),w.cursor=w.limit,i(),w.cursor=w.limit,s(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return t.setCurrent(e),t.stem(),t.getCurrent()}):(t.setCurrent(e),t.stem(),t.getCurrent())}}(),e.Pipeline.registerFunction(e.sv.stemmer,"stemmer-sv"),e.sv.stopWordFilter=e.generateStopWordFilter("alla allt att av blev bli blir blivit de dem den denna deras dess dessa det detta dig din dina ditt du där då efter ej eller en er era ert ett från för ha hade han hans har henne hennes hon honom hur här i icke ingen inom inte jag ju kan kunde man med mellan men mig min mina mitt mot mycket ni nu när någon något några och om oss på samma sedan sig sin sina sitta själv skulle som så sådan sådana sådant till under upp ut utan vad var vara varför varit varje vars vart vem vi vid vilka vilkas vilken vilket vår våra vårt än är åt över".split(" ")),e.Pipeline.registerFunction(e.sv.stopWordFilter,"stopWordFilter-sv")}});

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!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.ta=function(){this.pipeline.reset(),this.pipeline.add(e.ta.trimmer,e.ta.stopWordFilter,e.ta.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.ta.stemmer))},e.ta.wordCharacters="஀-உஊ-ஏஐ-ஙச-ட஠-னப-யர-ஹ஺-ிீ-௉ொ-௏ௐ-௙௚-௟௠-௩௪-௯௰-௹௺-௿a-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ta.trimmer=e.trimmerSupport.generateTrimmer(e.ta.wordCharacters),e.Pipeline.registerFunction(e.ta.trimmer,"trimmer-ta"),e.ta.stopWordFilter=e.generateStopWordFilter("அங்கு அங்கே அது அதை அந்த அவர் அவர்கள் அவள் அவன் அவை ஆக ஆகவே ஆகையால் ஆதலால் ஆதலினால் ஆனாலும் ஆனால் இங்கு இங்கே இது இதை இந்த இப்படி இவர் இவர்கள் இவள் இவன் இவை இவ்வளவு உனக்கு உனது உன் உன்னால் எங்கு எங்கே எது எதை எந்த எப்படி எவர் எவர்கள் எவள் எவன் எவை எவ்வளவு எனக்கு எனது எனவே என் என்ன என்னால் ஏது ஏன் தனது தன்னால் தானே தான் நாங்கள் நாம் நான் நீ நீங்கள்".split(" ")),e.ta.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.ta.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.ta.stemmer,"stemmer-ta"),e.Pipeline.registerFunction(e.ta.stopWordFilter,"stopWordFilter-ta")}});

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!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.te=function(){this.pipeline.reset(),this.pipeline.add(e.te.trimmer,e.te.stopWordFilter,e.te.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.te.stemmer))},e.te.wordCharacters="ఀ-ఄఅ-ఔక-హా-ౌౕ-ౖౘ-ౚౠ-ౡౢ-ౣ౦-౯౸-౿఼ఽ్ౝ౷౤౥",e.te.trimmer=e.trimmerSupport.generateTrimmer(e.te.wordCharacters),e.Pipeline.registerFunction(e.te.trimmer,"trimmer-te"),e.te.stopWordFilter=e.generateStopWordFilter("అందరూ అందుబాటులో అడగండి అడగడం అడ్డంగా అనుగుణంగా అనుమతించు అనుమతిస్తుంది అయితే ఇప్పటికే ఉన్నారు ఎక్కడైనా ఎప్పుడు ఎవరైనా ఎవరో ఏ ఏదైనా ఏమైనప్పటికి ఒక ఒకరు కనిపిస్తాయి కాదు కూడా గా గురించి చుట్టూ చేయగలిగింది తగిన తర్వాత దాదాపు దూరంగా నిజంగా పై ప్రకారం ప్రక్కన మధ్య మరియు మరొక మళ్ళీ మాత్రమే మెచ్చుకో వద్ద వెంట వేరుగా వ్యతిరేకంగా సంబంధం".split(" ")),e.te.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.te.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.te.stemmer,"stemmer-te"),e.Pipeline.registerFunction(e.te.stopWordFilter,"stopWordFilter-te")}});

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/**
* export the module via AMD, CommonJS or as a browser global
* Export code from https://github.com/umdjs/umd/blob/master/returnExports.js
*/
;(function (root, factory) {
if (typeof define === 'function' && define.amd) {
// AMD. Register as an anonymous module.
define(factory)
} else if (typeof exports === 'object') {
/**
* Node. Does not work with strict CommonJS, but
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* like Node.
*/
module.exports = factory()
} else {
// Browser globals (root is window)
factory()(root.lunr);
}
}(this, function () {
/**
* Just return a value to define the module export.
* This example returns an object, but the module
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*/
return function(lunr) {
// TinySegmenter 0.1 -- Super compact Japanese tokenizer in Javascript
// (c) 2008 Taku Kudo <taku@chasen.org>
// TinySegmenter is freely distributable under the terms of a new BSD licence.
// For details, see http://chasen.org/~taku/software/TinySegmenter/LICENCE.txt
function TinySegmenter() {
var patterns = {
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"[ぁ-ん]":"I",
"[ァ-ヴーｱ-ﾝﾞｰ]":"K",
"[a-zA-Zａ-ｚＡ-Ｚ]":"A",
"[0-9０-９]":"N"
}
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for (var i in patterns) {
var regexp = new RegExp(i);
this.chartype_.push([regexp, patterns[i]]);
}
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this.UW5__ = {",":465,".":-299,"1":-514,"E2":-32768,"]":-2762,"、":465,"。":-299,"「":363,"あ":1655,"い":331,"う":-503,"え":1199,"お":527,"か":647,"が":-421,"き":1624,"ぎ":1971,"く":312,"げ":-983,"さ":-1537,"し":-1371,"す":-852,"だ":-1186,"ち":1093,"っ":52,"つ":921,"て":-18,"で":-850,"と":-127,"ど":1682,"な":-787,"に":-1224,"の":-635,"は":-578,"べ":1001,"み":502,"め":865,"ゃ":3350,"ょ":854,"り":-208,"る":429,"れ":504,"わ":419,"を":-1264,"ん":327,"イ":241,"ル":451,"ン":-343,"中":-871,"京":722,"会":-1153,"党":-654,"務":3519,"区":-901,"告":848,"員":2104,"大":-1296,"学":-548,"定":1785,"嵐":-1304,"市":-2991,"席":921,"年":1763,"思":872,"所":-814,"挙":1618,"新":-1682,"日":218,"月":-4353,"査":932,"格":1356,"機":-1508,"氏":-1347,"田":240,"町":-3912,"的":-3149,"相":1319,"省":-1052,"県":-4003,"研":-997,"社":-278,"空":-813,"統":1955,"者":-2233,"表":663,"語":-1073,"議":1219,"選":-1018,"郎":-368,"長":786,"間":1191,"題":2368,"館":-689,"１":-514,"Ｅ２":-32768,"｢":363,"ｲ":241,"ﾙ":451,"ﾝ":-343};
this.UW6__ = {",":227,".":808,"1":-270,"E1":306,"、":227,"。":808,"あ":-307,"う":189,"か":241,"が":-73,"く":-121,"こ":-200,"じ":1782,"す":383,"た":-428,"っ":573,"て":-1014,"で":101,"と":-105,"な":-253,"に":-149,"の":-417,"は":-236,"も":-206,"り":187,"る":-135,"を":195,"ル":-673,"ン":-496,"一":-277,"中":201,"件":-800,"会":624,"前":302,"区":1792,"員":-1212,"委":798,"学":-960,"市":887,"広":-695,"後":535,"業":-697,"相":753,"社":-507,"福":974,"空":-822,"者":1811,"連":463,"郎":1082,"１":-270,"Ｅ１":306,"ﾙ":-673,"ﾝ":-496};
return this;
}
TinySegmenter.prototype.ctype_ = function(str) {
for (var i in this.chartype_) {
if (str.match(this.chartype_[i][0])) {
return this.chartype_[i][1];
}
}
return "O";
}
TinySegmenter.prototype.ts_ = function(v) {
if (v) { return v; }
return 0;
}
TinySegmenter.prototype.segment = function(input) {
if (input == null || input == undefined || input == "") {
return [];
}
var result = [];
var seg = ["B3","B2","B1"];
var ctype = ["O","O","O"];
var o = input.split("");
for (i = 0; i < o.length; ++i) {
seg.push(o[i]);
ctype.push(this.ctype_(o[i]))
}
seg.push("E1");
seg.push("E2");
seg.push("E3");
ctype.push("O");
ctype.push("O");
ctype.push("O");
var word = seg[3];
var p1 = "U";
var p2 = "U";
var p3 = "U";
for (var i = 4; i < seg.length - 3; ++i) {
var score = this.BIAS__;
var w1 = seg[i-3];
var w2 = seg[i-2];
var w3 = seg[i-1];
var w4 = seg[i];
var w5 = seg[i+1];
var w6 = seg[i+2];
var c1 = ctype[i-3];
var c2 = ctype[i-2];
var c3 = ctype[i-1];
var c4 = ctype[i];
var c5 = ctype[i+1];
var c6 = ctype[i+2];
score += this.ts_(this.UP1__[p1]);
score += this.ts_(this.UP2__[p2]);
score += this.ts_(this.UP3__[p3]);
score += this.ts_(this.BP1__[p1 + p2]);
score += this.ts_(this.BP2__[p2 + p3]);
score += this.ts_(this.UW1__[w1]);
score += this.ts_(this.UW2__[w2]);
score += this.ts_(this.UW3__[w3]);
score += this.ts_(this.UW4__[w4]);
score += this.ts_(this.UW5__[w5]);
score += this.ts_(this.UW6__[w6]);
score += this.ts_(this.BW1__[w2 + w3]);
score += this.ts_(this.BW2__[w3 + w4]);
score += this.ts_(this.BW3__[w4 + w5]);
score += this.ts_(this.TW1__[w1 + w2 + w3]);
score += this.ts_(this.TW2__[w2 + w3 + w4]);
score += this.ts_(this.TW3__[w3 + w4 + w5]);
score += this.ts_(this.TW4__[w4 + w5 + w6]);
score += this.ts_(this.UC1__[c1]);
score += this.ts_(this.UC2__[c2]);
score += this.ts_(this.UC3__[c3]);
score += this.ts_(this.UC4__[c4]);
score += this.ts_(this.UC5__[c5]);
score += this.ts_(this.UC6__[c6]);
score += this.ts_(this.BC1__[c2 + c3]);
score += this.ts_(this.BC2__[c3 + c4]);
score += this.ts_(this.BC3__[c4 + c5]);
score += this.ts_(this.TC1__[c1 + c2 + c3]);
score += this.ts_(this.TC2__[c2 + c3 + c4]);
score += this.ts_(this.TC3__[c3 + c4 + c5]);
score += this.ts_(this.TC4__[c4 + c5 + c6]);
// score += this.ts_(this.TC5__[c4 + c5 + c6]);
score += this.ts_(this.UQ1__[p1 + c1]);
score += this.ts_(this.UQ2__[p2 + c2]);
score += this.ts_(this.UQ3__[p3 + c3]);
score += this.ts_(this.BQ1__[p2 + c2 + c3]);
score += this.ts_(this.BQ2__[p2 + c3 + c4]);
score += this.ts_(this.BQ3__[p3 + c2 + c3]);
score += this.ts_(this.BQ4__[p3 + c3 + c4]);
score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]);
score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]);
score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]);
score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]);
var p = "O";
if (score > 0) {
result.push(word);
word = "";
p = "B";
}
p1 = p2;
p2 = p3;
p3 = p;
word += seg[i];
}
result.push(word);
return result;
}
lunr.TinySegmenter = TinySegmenter;
};
}));

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## Create the set of initial agents
Copilot can set up agents for you from scratch.
### Instruct copilot
First, tell it about the initial set of agents that make up your assistant.
![Agent Config](img/create-agents-delivery.png)
Using copilot to create your initial set of agents helps you leverage best practices in formatting agent instructions and connecting agents to each other as a graph, all of which have been baked into copilot.
### Inspect the agents
Once you apply changes, inspect the agents to see how copilot has built them. Specifically, note the Instructions, and Examples in each agent.
![Agent Config](img/agent-instruction.png)

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<h1>Create agents</h1>
<h2 id="create-the-set-of-initial-agents">Create the set of initial agents</h2>
<p>Copilot can set up agents for you from scratch.</p>
<h3 id="instruct-copilot">Instruct copilot</h3>
<p>First, tell it about the initial set of agents that make up your assistant.</p>
<p><img alt="Agent Config" src="../img/create-agents-delivery.png" /></p>
<p>Using copilot to create your initial set of agents helps you leverage best practices in formatting agent instructions and connecting agents to each other as a graph, all of which have been baked into copilot.</p>
<h3 id="inspect-the-agents">Inspect the agents</h3>
<p>Once you apply changes, inspect the agents to see how copilot has built them. Specifically, note the Instructions, and Examples in each agent.</p>
<p><img alt="Agent Config" src="../img/agent-instruction.png" /></p>
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---
title: "Contribution Guide"
description: "Learn how to contribute to the Rowboat project and help improve our platform."
icon: "github"
---
# Join the Rowboat Voyage
We're building Rowboat as an open-source, community-powered platform — and we'd love for you to hop aboard! Whether you're fixing typos, suggesting a new tool integration, or designing your dream multi-agent workflow, your contributions are valuable and welcome.
<Frame>
<img src="/docs/img/contribution-guide-hero.png" className="w-full max-w-[600px] rounded-xl" alt="Contribution guide hero image showing community collaboration" />
</Frame>
---
## How You Can Contribute
- **Tackle Open Issues**
Browse our [GitHub Issues](https://github.com/rowboatlabs/rowboat/issues) for tags like `good first issue`, `help wanted`, or `bug` to find a spot that fits your skillset.
- **Join the Community**
Our [Discord](https://discord.gg/rxB8pzHxaS) is the go-to hub for brainstorming, feedback, and finding contributors for bigger efforts.
- **Propose Something New**
Have a new tool integration idea or found a bug? Open an issue and let’s discuss it!
---
## Contribution Workflow & Best Practices
Whether it's your first contribution or your fiftieth, here's what a great contribution looks like:
| Step / Tip | Description |
|-------------------------------|-----------------------------------------------------------------------------------------------|
| **1. Fork the Repository** | Create a personal copy of [rowboatlabs/rowboat](https://github.com/rowboatlabs/rowboat) to start contributing. |
| **2. Create a New Branch** | Use a descriptive name like `fix-tool-crash` or `feature-new-mcp`. Avoid committing to `main`. |
| **3. Make Your Changes** | Focus your PR on a single issue or feature to keep things clean and reviewable. |
| **4. Write Tests if Needed** | If you change logic, add relevant tests so your contribution is future-proof. |
| **5. Run Tests & Lint Locally**| Make sure your branch passes all tests and code quality checks before pushing. |
| **6. Document or Demo It** | Add helpful context: screenshots, example scripts, or a short video/gif to demonstrate your changes. |
| **7. Submit a Pull Request** | Open a PR with a clear description of your changes and any context reviewers should know. |
| **8. Collaborate on Feedback** | Our maintainers may leave comments — it’s all part of the process. Let’s improve it together. |
| **9. Don’t Be Shy to Follow Up** | Feel free to ping the PR/issue if you're waiting on feedback. We appreciate polite nudges. |
| **10. Celebrate the Merge!** | You just made Rowboat better. Thanks for contributing 🚀 |
<Tip>If you're fixing typos, spacing, or small tweaks — try bundling those into a related PR instead of sending them standalone. It helps keep reviews focused. </Tip>
---
## Come Build With Us
We believe great ideas come from the community — and that means **you**. Whether you're an engineer, designer, AI tinkerer, or curious beginner, there’s room on this boat for everyone.
Let’s build the future of AI workflows — together. 🫶

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---
icon: "road"
---
# Roadmap
Explore the future development plans and upcoming features for Rowboat.

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---
title: "Introduction"
description: "Welcome to the official Rowboat documentation! Rowboat is a low-code AI IDE to build tool connected multi-agent assistants. Rowboat copilot builds the agents for you based on your requirements with the option do everything manually as well."
icon: "book-open"
---
<Frame>
<img src="../videos/Intro-Video.gif" alt="Intro Video" />
</Frame>
## What is RowBoat?
**RowBoat is a state-of-art platform to build multi-agent AI systems in a visual interface, with the help of a copilot.**
RowBoat enables you to build, manage and deploy user-facing assistants. An assistant is made up of multiple agents, each having access to a set of tools and working together to interact with the user as a single assistant. You can connect any tool to the agents.
For example, you can build a *meeting prep assistant* that helps you prepare for upcoming meetings. One agent can access your Google Calendar to see your scheduled meetings, another agent can research the meeting attendees (such as finding their LinkedIn profiles or recent news), and a third agent can compile this research and send it to your email before the meeting. This way, you get automated, personalized meeting prep without manual effort.
---
## How RowBoat works
### RowBoat Studio
RowBoat Studio lets you create AI agents in minutes, using a visual interface and plain language.
There are key components that you will work with:
- Agents
- Playground
- Copilot
<Card title="Using Rowboat" icon="puzzle-piece" horizontal href="/docs/using-rowboat/rowboat-studio">
Learn about Rowboat Studio and key concepts used in building assistants
</Card>
### RowBoat Chat API & SDK
- [RowBoat Chat API](/docs/api-sdk/using_the_api) is a stateless HTTP API to interface with the assistant created on RowBoat Studio. You can use the API to drive end-user facing conversations in your app or website.
- [RowBoat Chat SDK](/docs/api-sdk/using_the_sdk) is a simple Python SDK which wraps the HTTP API under the hood. It provides a clean interface for managing conversations using conversation IDs for state management.
---
## Why RowBoat?
Rowboat is the fastest way to build and deploy multi-agent assistants.
<Steps>
<Step title="Build complex assistants">
Use plain language and a powerful visual interface to design and orchestrate multi-agent assistants with ease.
</Step>
<Step title="Integrate tools and MCP servers">
Add tools and connect to MCP servers in just minutes — no complex setup required.
</Step>
<Step title="Expedite your AI roadmap">
Accelerate development with battle-tested tooling tailored for building production-ready, multi-agent AI systems.
</Step>
</Steps>
---
## Contributing
Want to contribute to Rowboat? Please consider checking out our [Contribution Guide](/docs/development/contribution-guide)
<Card
title="GitHub"
icon="github"
horizontal href="https://github.com/rowboatlabs/rowboat"
>
Star us on github!
</Card>
## Community
Need help using Rowboat? Join our community!
<Card
title="Discord"
icon="discord"
horizontal href="https://discord.gg/rxB8pzHxaS"
>
Join our growing discord community and interact with hundreds of developer using Rowboat!
</Card>

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---
title: "License"
icon: "file"
mode: "center"
# url: "https://github.com/rowboatlabs/rowboat/blob/main/LICENSE" ## An alternate display we could use
---
RowBoat is available under the [Apache 2.0 License](https://github.com/rowboatlabs/rowboat/blob/main/LICENSE):
----
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APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
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---
title: "Quickstart"
description: "guide to getting started with rowboat"
icon: "rocket"
---
---
# Cloud Setup
Using the open-source version of Rowboat requires more technical skill to set up and navigate. For the smoothest experience, we recommend using our [hosted version](https://dev.rowboatlabs.com/)
---
# Local Setup
<Note>Pre-requisite: Ensure Docker is installed on your machine. You'll also need an OpenAI account and API key to use the Copilot and agents.</Note>
<Steps>
<Step title="Set your OpenAI key">
Export your OpenAI API key in your terminal:
```bash
export OPENAI_API_KEY=your-openai-api-key
```
</Step>
<Step title="Set up Composio for tools and triggers (optional)">
To use external tools and triggers, export your Composio API key:
```bash
export COMPOSIO_API_KEY=your-composio-api-key
export COMPOSIO_TRIGGERS_WEBHOOK_SECRET=your-webhook-secret
```
<Note>For more detailed setup instructions, see the [Triggers](/docs/using-rowboat/triggers#local-setup) page.</Note>
</Step>
<Step title="Clone the repository and start Rowboat Docker">
Clone the Rowboat repository and start the app using Docker:
```bash
git clone git@github.com:rowboatlabs/rowboat.git
cd rowboat
./start.sh
```
</Step>
<Step title="Access the app">
Once Docker is running, open your browser and go to:
[http://localhost:3000](http://localhost:3000)
</Step>
</Steps>
<Info>See the [Using custom LLM providers](#using-custom-llm-providers) section below for using custom providers like OpenRouter and LiteLLM. </Info>
---
## Demo
{/* (would be better to change this to a Getiing Started Tutorial) */}
#### Create a multi-agent assistant with MCP tools by chatting with Rowboat
[![Screenshot 2025-04-23 at 00 25 31](https://github.com/user-attachments/assets/c8a41622-8e0e-459f-becb-767503489866)](https://youtu.be/YRTCw9UHRbU)
---
## Integrate with Rowboat agents
There are 2 ways to integrate with the agents you create in Rowboat
<Columns cols={2}>
<Card title="Using the API" icon="code" horizontal href="/docs/api-sdk/using_the_api">
Guide on using the HTTP API
</Card>
<Card title="Using the SDK" icon="toolbox" horizontal href="/docs/api-sdk/using_the_sdk">
Guide on using the Python SDK
</Card>
</Columns>
---
## Using custom LLM providers
By default, Rowboat uses OpenAI LLMs (gpt-4o, gpt-4.1, etc.) for both agents and copilot, when you export your OPENAI_API_KEY.
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.
Check out our page on customising
<Card title="Customise" icon="sliders" horizontal href="/docs/using-rowboat/customise">
Learn more about customising your Rowboat experience here
</Card>

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# Graph-based Framework
## Overview
- Multi-agent systems are popularly represented as graphs, where each agent is a node in the graph.
- In RowBoat, agents are connected to each other as Directed Acyclic Graphs (DAG).
- The graph is also called a workflow, which defines agents, tools, and their connections.
- Since the graph is directed, the control of conversation flows from "parent" agents to their "children" agents
- Every agent is responsible for carrying out a specific part of the workflow, which can involve conversing with the user and / or carrying out tasks such as directing the conversation to other agents.
- [Langgraph](https://www.langchain.com/langgraph) and [Swarm](https://github.com/openai/swarm) are examples of open-source frameworks used to define multi-agent graphs. RowBoat currently supports a Swarm implementation and will extend to Langgraph too in the future.
## Control Passing
- While defining the workflow, an agent is designated as the Start agent, to which the first turn of chat will be directed. Typically the Start agent is responsible for triaging the user's query at a high-level and passing control to relevant specific agents which can address the user's needs.
- In any turn of chat, the agent currently in control of the chat has one of 3 options: a) respond to the user (or put out tool calls), b) transfer the chat to any of its children agents or c) transfer the chat back to its parent agent.
- Agents use internal tool calls to transfer the chat to other agents.
- Thus, control passing is achieved by allowing agents to decide flow of control autonomously.
- To the user, the assistant will appear as a unified system, while agents work under the hood.
## Pipelines
- RowBoat also has the concept of pipelines - specialized agents invoked sequentially after an agent in the graph has produced a user-facing response.
- E.g. a pipeline with a post processing agent and a guardrail agent will ensure that every response is post processed and guardrailed for appropriateness before presenting it to the user.

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<h1 id="graph-based-framework">Graph-based Framework</h1>
<h2 id="overview">Overview</h2>
<ul>
<li>Multi-agent systems are popularly represented as graphs, where each agent is a node in the graph. </li>
<li>In RowBoat, agents are connected to each other as Directed Acyclic Graphs (DAG).</li>
<li>The graph is also called a workflow, which defines agents, tools, and their connections.</li>
<li>Since the graph is directed, the control of conversation flows from "parent" agents to their "children" agents</li>
<li>Every agent is responsible for carrying out a specific part of the workflow, which can involve conversing with the user and / or carrying out tasks such as directing the conversation to other agents.</li>
<li><a href="https://www.langchain.com/langgraph">Langgraph</a> and <a href="https://github.com/openai/swarm">Swarm</a> are examples of open-source frameworks used to define multi-agent graphs. RowBoat currently supports a Swarm implementation and will extend to Langgraph too in the future.</li>
</ul>
<h2 id="control-passing">Control Passing</h2>
<ul>
<li>While defining the workflow, an agent is designated as the Start agent, to which the first turn of chat will be directed. Typically the Start agent is responsible for triaging the user's query at a high-level and passing control to relevant specific agents which can address the user's needs.</li>
<li>In any turn of chat, the agent currently in control of the chat has one of 3 options: a) respond to the user (or put out tool calls), b) transfer the chat to any of its children agents or c) transfer the chat back to its parent agent.</li>
<li>Agents use internal tool calls to transfer the chat to other agents.</li>
<li>Thus, control passing is achieved by allowing agents to decide flow of control autonomously.</li>
<li>To the user, the assistant will appear as a unified system, while agents work under the hood.</li>
</ul>
<h2 id="pipelines">Pipelines</h2>
<ul>
<li>RowBoat also has the concept of pipelines - specialized agents invoked sequentially after an agent in the graph has produced a user-facing response. </li>
<li>E.g. a pipeline with a post processing agent and a guardrail agent will ensure that every response is post processed and guardrailed for appropriateness before presenting it to the user.</li>
</ul>
</article>
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# Using the Hosted App
- This is the developers guide to self-hosting the open-source version of RowBoat.
- Please see our [Introduction](/) page before referring to this guide.
- For direct installation steps, please head to the README of RowBoat's Github repo: [@rowboatlabs/rowboat](https://github.com/rowboatlabs/rowboat/). This page provides more context about the installation process and the different components involved.
## Overview
RowBoat's codebase has three main components:
| Component | Description |
|--------------|---------------|
| **Agents** | Python framework responsible for carrying out multi-agent conversations |
| **Copilot** | Python framework powering the copilot in RowBoat Studio |
| **RowBoat** | Frontend and backend services to power RowBoat Studio and Chat APIs |
These components are structured as separate services, each containerized with Docker. Running `docker-compose up --build` enables you to use the Studio in your browser, as well as stands up the APIs and SDK.
## Prerequisites
All of these prerequistes have open-source or free versions.
| Prerequisite | Description |
|--------------|---------------|
| **Docker** | Bundles and builds all services |
| **OpenAI API Key** | Agents and Copilot services are powered by OpenAI LLMs |
| **MongoDB** | Stores workflow versions, chats and RAG embeddings |
| **Auth0 Account** | Handles user authentication and identity management for Studio |
Refer to our [Github Readme for Prerequisites](https://github.com/rowboatlabs/rowboat/?tab=readme-ov-file#prerequisites) to set up prerequisites.
## Setting up
Refer to our [Github Readme for Local Development](https://github.com/rowboatlabs/rowboat/?tab=readme-ov-file#local-development-setup) to set up Studio, Chat API and SDK via `docker-compose`.
### Testing Studio
1. Once you are set up, you should be able to login to the Studio (default local URL: [http://localhost:3000](http://localhost:8000)) via Auth0's login options (Gmail, Github etc.)
<br />
2. Once in Studio, create a new blank project or use one of the example templates:
![Create Project](img/project-page.png)
<br />
3. Use the copilot to help you build agents:
![Use Copilot](img/use-copilot.png)
<br />
4. Ensure that the correct agent is set as the "start agent":
![Set Start Agent](img/start-agent.png)
<br />
5. Test out a chat in the playground to verify the agents' behavior:
![Testing Chat](img/testing-chat.png)
<br />
### Testing the Chat API
You can use the API directly at [http://localhost:3000/api/v1/](http://localhost:3000/api/v1/)
- Project ID is available in the URL of the project page
- API Key can be generated from the project config page at `/projects/<PROJECT_ID>/config`
Below is an example request and response. Modify the user message in the request, based on your example project.
**Request:**
```bash
curl --location 'http://localhost:3000/api/v1/<PROJECT_ID>/chat' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <API_KEY>' \
--data '{
"messages": [
{
"role": "user",
"content": "What is my pending payment amount?"
}
]
}'
```
**Response:**
The last message in `messages` is either a user-facing response or a tool call by the assistant.
```json
{
"messages": [
{
"sender": "Credit Card Hub",
"role": "assistant",
"response_type": "internal",
"content": null,
"created_at": "2025-02-01T06:55:47.843909",
"current_turn": true,
"tool_calls": [
{
"function": {
"arguments": "{\"args\":\"\",\"kwargs\":\"\"}",
// Internal tool calls are used to transfer between agents
"name": "transfer_to_outstanding_payment"
},
"id": "call_7jGpwpVvzhZFOyRgxHFkdOdU",
"type": "function"
}
]
},
{
"tool_name": "transfer_to_outstanding_payment",
"role": "tool",
"content": "{\"assistant\": \"Outstanding Payment\"}",
"tool_call_id": "call_7jGpwpVvzhZFOyRgxHFkdOdU"
},
{
"sender": "Outstanding Payment",
"role": "assistant",
// Response is not user-facing, to enable further post processing
"response_type": "internal",
"content": "Sure, could you provide the last four digits of your card or your registered mobile number so I can look up your pending payment amount?",
"created_at": "2025-02-01T06:55:49.648008",
"current_turn": true
},
{
"sender": "Outstanding Payment >> Post process",
"role": "assistant",
// Response is user-facing
"response_type": "external",
"content": "Sure, please provide the last four digits of your card or your registered mobile number so I can check your pending payment amount.",
"created_at": "2025-02-01T06:55:49.648008",
"current_turn": true
}
],
"state": {
// .. state data
}
}
```
### Testing the Python Chat SDK
```bash
pip install rowboat
```
Modify the user message in `messages`, based on your example project.
```python
from rowboat import Client
client = Client(
host="http://localhost:3000",
project_id="<PROJECT_ID>",
api_key="<API_KEY>" # Generate this from /projects/<PROJECT_ID>/config
)
# Simple chat interaction
messages = [{"role": "user", "content": "What is my pending payment amount?"}]
response_messages, state = client.chat(messages=messages)
```
The last message in `response_messages` is either a user-facing response or a tool call by the assistant.

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<h1 id="using-the-hosted-app">Using the Hosted App</h1>
<ul>
<li>This is the developers guide to self-hosting the open-source version of RowBoat.</li>
<li>Please see our <a href="/">Introduction</a> page before referring to this guide.</li>
<li>For direct installation steps, please head to the README of RowBoat's Github repo: <a href="https://github.com/rowboatlabs/rowboat/">@rowboatlabs/rowboat</a>. This page provides more context about the installation process and the different components involved. </li>
</ul>
<h2 id="overview">Overview</h2>
<p>RowBoat's codebase has three main components:</p>
<table>
<thead>
<tr>
<th>Component</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Agents</strong></td>
<td>Python framework responsible for carrying out multi-agent conversations</td>
</tr>
<tr>
<td><strong>Copilot</strong></td>
<td>Python framework powering the copilot in RowBoat Studio</td>
</tr>
<tr>
<td><strong>RowBoat</strong></td>
<td>Frontend and backend services to power RowBoat Studio and Chat APIs</td>
</tr>
</tbody>
</table>
<p>These components are structured as separate services, each containerized with Docker. Running <code>docker-compose up --build</code> enables you to use the Studio in your browser, as well as stands up the APIs and SDK. </p>
<h2 id="prerequisites">Prerequisites</h2>
<p>All of these prerequistes have open-source or free versions.</p>
<table>
<thead>
<tr>
<th>Prerequisite</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Docker</strong></td>
<td>Bundles and builds all services</td>
</tr>
<tr>
<td><strong>OpenAI API Key</strong></td>
<td>Agents and Copilot services are powered by OpenAI LLMs</td>
</tr>
<tr>
<td><strong>MongoDB</strong></td>
<td>Stores workflow versions, chats and RAG embeddings</td>
</tr>
<tr>
<td><strong>Auth0 Account</strong></td>
<td>Handles user authentication and identity management for Studio</td>
</tr>
</tbody>
</table>
<p>Refer to our <a href="https://github.com/rowboatlabs/rowboat/?tab=readme-ov-file#prerequisites">Github Readme for Prerequisites</a> to set up prerequisites.</p>
<h2 id="setting-up">Setting up</h2>
<p>Refer to our <a href="https://github.com/rowboatlabs/rowboat/?tab=readme-ov-file#local-development-setup">Github Readme for Local Development</a> to set up Studio, Chat API and SDK via <code>docker-compose</code>. </p>
<h3 id="testing-studio">Testing Studio</h3>
<ol>
<li>
<p>Once you are set up, you should be able to login to the Studio (default local URL: <a href="http://localhost:8000">http://localhost:3000</a>) via Auth0's login options (Gmail, Github etc.)
<br></p>
</li>
<li>
<p>Once in Studio, create a new blank project or use one of the example templates:
<img alt="Create Project" src="../img/project-page.png" />
<br></p>
</li>
<li>
<p>Use the copilot to help you build agents:
<img alt="Use Copilot" src="../img/use-copilot.png" />
<br></p>
</li>
<li>
<p>Ensure that the correct agent is set as the "start agent":
<img alt="Set Start Agent" src="../img/start-agent.png" />
<br></p>
</li>
<li>
<p>Test out a chat in the playground to verify the agents' behavior:
<img alt="Testing Chat" src="../img/testing-chat.png" />
<br></p>
</li>
</ol>
<h3 id="testing-the-chat-api">Testing the Chat API</h3>
<p>You can use the API directly at <a href="http://localhost:3000/api/v1/">http://localhost:3000/api/v1/</a>
- Project ID is available in the URL of the project page
- API Key can be generated from the project config page at <code>/projects/&lt;PROJECT_ID&gt;/config</code></p>
<p>Below is an example request and response. Modify the user message in the request, based on your example project.</p>
<p><strong>Request:</strong></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;What is my pending payment amount?&quot;
}
]
}'
</code></pre>
<p><strong>Response:</strong>
The last message in <code>messages</code> is either a user-facing response or a tool call by the assistant.</p>
<pre><code class="language-json">{
&quot;messages&quot;: [
{
&quot;sender&quot;: &quot;Credit Card Hub&quot;,
&quot;role&quot;: &quot;assistant&quot;,
&quot;response_type&quot;: &quot;internal&quot;,
&quot;content&quot;: null,
&quot;created_at&quot;: &quot;2025-02-01T06:55:47.843909&quot;,
&quot;current_turn&quot;: true,
&quot;tool_calls&quot;: [
{
&quot;function&quot;: {
&quot;arguments&quot;: &quot;{\&quot;args\&quot;:\&quot;\&quot;,\&quot;kwargs\&quot;:\&quot;\&quot;}&quot;,
// Internal tool calls are used to transfer between agents
&quot;name&quot;: &quot;transfer_to_outstanding_payment&quot;
},
&quot;id&quot;: &quot;call_7jGpwpVvzhZFOyRgxHFkdOdU&quot;,
&quot;type&quot;: &quot;function&quot;
}
]
},
{
&quot;tool_name&quot;: &quot;transfer_to_outstanding_payment&quot;,
&quot;role&quot;: &quot;tool&quot;,
&quot;content&quot;: &quot;{\&quot;assistant\&quot;: \&quot;Outstanding Payment\&quot;}&quot;,
&quot;tool_call_id&quot;: &quot;call_7jGpwpVvzhZFOyRgxHFkdOdU&quot;
},
{
&quot;sender&quot;: &quot;Outstanding Payment&quot;,
&quot;role&quot;: &quot;assistant&quot;,
// Response is not user-facing, to enable further post processing
&quot;response_type&quot;: &quot;internal&quot;,
&quot;content&quot;: &quot;Sure, could you provide the last four digits of your card or your registered mobile number so I can look up your pending payment amount?&quot;,
&quot;created_at&quot;: &quot;2025-02-01T06:55:49.648008&quot;,
&quot;current_turn&quot;: true
},
{
&quot;sender&quot;: &quot;Outstanding Payment &gt;&gt; Post process&quot;,
&quot;role&quot;: &quot;assistant&quot;,
// Response is user-facing
&quot;response_type&quot;: &quot;external&quot;,
&quot;content&quot;: &quot;Sure, please provide the last four digits of your card or your registered mobile number so I can check your pending payment amount.&quot;,
&quot;created_at&quot;: &quot;2025-02-01T06:55:49.648008&quot;,
&quot;current_turn&quot;: true
}
],
&quot;state&quot;: {
// .. state data
}
}
</code></pre>
<h3 id="testing-the-python-chat-sdk">Testing the Python Chat SDK</h3>
<pre><code class="language-bash">pip install rowboat
</code></pre>
<p>Modify the user message in <code>messages</code>, based on your example project.</p>
<pre><code class="language-python">from rowboat import 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; # Generate this from /projects/&lt;PROJECT_ID&gt;/config
)
# Simple chat interaction
messages = [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;What is my pending payment amount?&quot;}]
response_messages, state = client.chat(messages=messages)
</code></pre>
<p>The last message in <code>response_messages</code> is either a user-facing response or a tool call by the assistant.</p>
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