From d2c15f6b1ff11bc0570e1bc1a0cdf166e83cd8eb Mon Sep 17 00:00:00 2001
From: Tushar <47842976+tusharmagar@users.noreply.github.com>
Date: Mon, 8 Sep 2025 20:54:36 +0530
Subject: [PATCH] Docs cleanup (#235)
---
apps/docs/Dockerfile | 11 -
apps/docs/docs.json | 1 +
apps/docs/docs/CNAME | 1 -
apps/docs/docs/add_tools.md | 56 -----
apps/docs/docs/add_tools.mdx | 27 ---
apps/docs/docs/agents.md | 29 ---
apps/docs/docs/agents.mdx | 29 ---
apps/docs/docs/create_agents.md | 14 --
apps/docs/docs/create_agents.mdx | 14 --
apps/docs/docs/data_sources.md | 1 -
apps/docs/docs/data_sources.mdx | 1 -
apps/docs/docs/graph.md | 23 --
apps/docs/docs/graph.mdx | 23 --
apps/docs/docs/hosted_setup.md | 156 -------------
apps/docs/docs/hosted_setup.mdx | 156 -------------
apps/docs/docs/img/add-mcp-server.png | Bin 121914 -> 0 bytes
apps/docs/docs/img/add-tool.png | Bin 239669 -> 0 bytes
apps/docs/docs/img/agent-config.png | Bin 241631 -> 0 bytes
apps/docs/docs/img/chat-delivery.png | Bin 116668 -> 0 bytes
apps/docs/docs/img/copilot-clarifications.png | Bin 388142 -> 0 bytes
apps/docs/docs/img/copilot-create.png | Bin 257806 -> 0 bytes
apps/docs/docs/img/debug-tool-calls.png | Bin 160477 -> 0 bytes
apps/docs/docs/img/edit-agent-manually.png | Bin 244655 -> 0 bytes
apps/docs/docs/img/enable-mcp-server.png | Bin 68208 -> 0 bytes
apps/docs/docs/img/example-tool.png | Bin 255400 -> 0 bytes
apps/docs/docs/img/hub-config.png | Bin 198536 -> 0 bytes
apps/docs/docs/img/import-mcp-tools.png | Bin 155150 -> 0 bytes
.../img/inspect-agent-tool-connections.png | Bin 176832 -> 0 bytes
apps/docs/docs/img/inspect-agent-tools.png | Bin 262133 -> 0 bytes
apps/docs/docs/img/mcp-library.png | Bin 1428682 -> 0 bytes
apps/docs/docs/img/mcp-tools-build-view.png | Bin 34712 -> 0 bytes
apps/docs/docs/img/mock-response.png | Bin 137959 -> 0 bytes
apps/docs/docs/img/mock-tool-responses.png | Bin 76651 -> 0 bytes
apps/docs/docs/img/mock-tool.png | Bin 76859 -> 0 bytes
apps/docs/docs/img/project-page.png | Bin 157546 -> 0 bytes
apps/docs/docs/img/re-test-chat.png | Bin 334036 -> 0 bytes
apps/docs/docs/img/scenarios.png | Bin 144753 -> 0 bytes
apps/docs/docs/img/simulate.png | Bin 171745 -> 0 bytes
apps/docs/docs/img/start-agent.png | Bin 123375 -> 0 bytes
apps/docs/docs/img/sys-msg.png | Bin 37984 -> 0 bytes
apps/docs/docs/img/test-updated-agent.png | Bin 151567 -> 0 bytes
apps/docs/docs/img/testing-chat.png | Bin 180284 -> 0 bytes
apps/docs/docs/img/try-chat.png | Bin 255209 -> 0 bytes
apps/docs/docs/img/update-agent-generate.png | Bin 121546 -> 0 bytes
.../docs/img/update-agent-with-copilot.png | Bin 270395 -> 0 bytes
apps/docs/docs/img/update-agent.png | Bin 348996 -> 0 bytes
apps/docs/docs/img/use-copilot.png | Bin 251808 -> 0 bytes
apps/docs/docs/index.md | 53 -----
apps/docs/docs/license.md | 205 ------------------
apps/docs/docs/oss_installation.md | 32 ---
apps/docs/docs/oss_installation.mdx | 32 ---
apps/docs/docs/playground.md | 7 -
apps/docs/docs/playground.mdx | 7 -
apps/docs/docs/prompts.md | 5 -
apps/docs/docs/prompts.mdx | 5 -
apps/docs/docs/setup.md | 127 -----------
apps/docs/docs/simulate.md | 6 -
apps/docs/docs/simulate.mdx | 6 -
apps/docs/docs/studio_overview.md | 7 -
apps/docs/docs/studio_overview.mdx | 7 -
apps/docs/docs/testing.md | 132 -----------
apps/docs/docs/testing.mdx | 132 -----------
apps/docs/docs/tools.md | 6 -
apps/docs/docs/tools.mdx | 6 -
apps/docs/docs/update_agents.md | 19 --
apps/docs/docs/update_agents.mdx | 19 --
apps/docs/docs/using_rag.md | 103 ---------
apps/docs/docs/using_rag.mdx | 103 ---------
apps/docs/docs/using_the_api.md | 166 --------------
apps/docs/docs/using_the_sdk.md | 99 ---------
apps/docs/{docs/img => }/favicon.ico | Bin
apps/docs/mkdocs.yml | 26 ---
apps/docs/public/videos/Intro-Video.gif | Bin 12330835 -> 0 bytes
apps/docs/readme.md | 55 -----
apps/docs/requirements.txt | 29 ---
75 files changed, 1 insertion(+), 1935 deletions(-)
delete mode 100644 apps/docs/Dockerfile
delete mode 100644 apps/docs/docs/CNAME
delete mode 100644 apps/docs/docs/add_tools.md
delete mode 100644 apps/docs/docs/add_tools.mdx
delete mode 100644 apps/docs/docs/agents.md
delete mode 100644 apps/docs/docs/agents.mdx
delete mode 100644 apps/docs/docs/create_agents.md
delete mode 100644 apps/docs/docs/create_agents.mdx
delete mode 100644 apps/docs/docs/data_sources.md
delete mode 100644 apps/docs/docs/data_sources.mdx
delete mode 100644 apps/docs/docs/graph.md
delete mode 100644 apps/docs/docs/graph.mdx
delete mode 100644 apps/docs/docs/hosted_setup.md
delete mode 100644 apps/docs/docs/hosted_setup.mdx
delete mode 100644 apps/docs/docs/img/add-mcp-server.png
delete mode 100644 apps/docs/docs/img/add-tool.png
delete mode 100644 apps/docs/docs/img/agent-config.png
delete mode 100644 apps/docs/docs/img/chat-delivery.png
delete mode 100644 apps/docs/docs/img/copilot-clarifications.png
delete mode 100644 apps/docs/docs/img/copilot-create.png
delete mode 100644 apps/docs/docs/img/debug-tool-calls.png
delete mode 100644 apps/docs/docs/img/edit-agent-manually.png
delete mode 100644 apps/docs/docs/img/enable-mcp-server.png
delete mode 100644 apps/docs/docs/img/example-tool.png
delete mode 100644 apps/docs/docs/img/hub-config.png
delete mode 100644 apps/docs/docs/img/import-mcp-tools.png
delete mode 100644 apps/docs/docs/img/inspect-agent-tool-connections.png
delete mode 100644 apps/docs/docs/img/inspect-agent-tools.png
delete mode 100644 apps/docs/docs/img/mcp-library.png
delete mode 100644 apps/docs/docs/img/mcp-tools-build-view.png
delete mode 100644 apps/docs/docs/img/mock-response.png
delete mode 100644 apps/docs/docs/img/mock-tool-responses.png
delete mode 100644 apps/docs/docs/img/mock-tool.png
delete mode 100644 apps/docs/docs/img/project-page.png
delete mode 100644 apps/docs/docs/img/re-test-chat.png
delete mode 100644 apps/docs/docs/img/scenarios.png
delete mode 100644 apps/docs/docs/img/simulate.png
delete mode 100644 apps/docs/docs/img/start-agent.png
delete mode 100644 apps/docs/docs/img/sys-msg.png
delete mode 100644 apps/docs/docs/img/test-updated-agent.png
delete mode 100644 apps/docs/docs/img/testing-chat.png
delete mode 100644 apps/docs/docs/img/try-chat.png
delete mode 100644 apps/docs/docs/img/update-agent-generate.png
delete mode 100644 apps/docs/docs/img/update-agent-with-copilot.png
delete mode 100644 apps/docs/docs/img/update-agent.png
delete mode 100644 apps/docs/docs/img/use-copilot.png
delete mode 100644 apps/docs/docs/index.md
delete mode 100644 apps/docs/docs/license.md
delete mode 100644 apps/docs/docs/oss_installation.md
delete mode 100644 apps/docs/docs/oss_installation.mdx
delete mode 100644 apps/docs/docs/playground.md
delete mode 100644 apps/docs/docs/playground.mdx
delete mode 100644 apps/docs/docs/prompts.md
delete mode 100644 apps/docs/docs/prompts.mdx
delete mode 100644 apps/docs/docs/setup.md
delete mode 100644 apps/docs/docs/simulate.md
delete mode 100644 apps/docs/docs/simulate.mdx
delete mode 100644 apps/docs/docs/studio_overview.md
delete mode 100644 apps/docs/docs/studio_overview.mdx
delete mode 100644 apps/docs/docs/testing.md
delete mode 100644 apps/docs/docs/testing.mdx
delete mode 100644 apps/docs/docs/tools.md
delete mode 100644 apps/docs/docs/tools.mdx
delete mode 100644 apps/docs/docs/update_agents.md
delete mode 100644 apps/docs/docs/update_agents.mdx
delete mode 100644 apps/docs/docs/using_rag.md
delete mode 100644 apps/docs/docs/using_rag.mdx
delete mode 100644 apps/docs/docs/using_the_api.md
delete mode 100644 apps/docs/docs/using_the_sdk.md
rename apps/docs/{docs/img => }/favicon.ico (100%)
delete mode 100644 apps/docs/mkdocs.yml
delete mode 100644 apps/docs/public/videos/Intro-Video.gif
delete mode 100644 apps/docs/readme.md
delete mode 100644 apps/docs/requirements.txt
diff --git a/apps/docs/Dockerfile b/apps/docs/Dockerfile
deleted file mode 100644
index f1773211..00000000
--- a/apps/docs/Dockerfile
+++ /dev/null
@@ -1,11 +0,0 @@
-FROM python:3.12
-
-WORKDIR /app
-
-COPY requirements.txt .
-
-RUN pip install -r requirements.txt
-
-COPY . .
-
-CMD ["mkdocs", "serve", "--dev-addr", "0.0.0.0:8000"]
\ No newline at end of file
diff --git a/apps/docs/docs.json b/apps/docs/docs.json
index 6dc8d714..3c381b70 100644
--- a/apps/docs/docs.json
+++ b/apps/docs/docs.json
@@ -3,6 +3,7 @@
"theme": "maple",
"name": "Rowboat",
"description": "Rowboat is an open-source platform for building multi-agent systems. It helps you orchestrate tools, RAG, memory, and deployable agents with ease.",
+ "favicon": "/favicon.ico",
"colors": {
"primary": "#6366F1",
"light": "#6366F1",
diff --git a/apps/docs/docs/CNAME b/apps/docs/docs/CNAME
deleted file mode 100644
index 5ece9e38..00000000
--- a/apps/docs/docs/CNAME
+++ /dev/null
@@ -1 +0,0 @@
-docs.rowboatlabs.com
\ No newline at end of file
diff --git a/apps/docs/docs/add_tools.md b/apps/docs/docs/add_tools.md
deleted file mode 100644
index f6779295..00000000
--- a/apps/docs/docs/add_tools.md
+++ /dev/null
@@ -1,56 +0,0 @@
-## Add tools to agents
-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.
-
-### Adding MCP tools
-
-#### Hosted MCP Library
-
-Rowboat has partnered with  to provide a growing library of hosted MCP servers. You can obtain a Klavis API key and set it using:
-```bash
-export KLAVIS_API_KEY=your-klavis-api-key
-```
-
-
-
-Enable any of the hosted MCP servers by clicking on the enable button. The server will take approximately 10 seconds to spin up.
-
-
-
-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
-
-The servers you have enabled will show up under tools section in the build view and can be added to any of the agents.
-
-
-
-Note: For GSuite tools, you need to get a Google Client ID and set it using:
-```bash
-export KLAVIS_GOOGLE_CLIENT_ID=your-google-client-id
-```
-
-To obtain a Google Client ID:
-1. Go to the [Google Cloud Console](https://console.cloud.google.com)
-2. Create a new project or select an existing one
-3. Go to "APIs & Services" → "OAuth consent screen" and complete the setup
-4. Go to "APIs & Services" → "Credentials" → "OAuth client ID" and create credentials for web application.
-
-#### Custom MCP Server
-You can add any running MCP server in Settings -> Tools.
-
-
-
-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.
-
-
-
-### Adding mock tools
-You can mock any tool you have created by checking the 'Mock tool responses' option.
-
-
-
-
-### 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.
-
-
\ No newline at end of file
diff --git a/apps/docs/docs/add_tools.mdx b/apps/docs/docs/add_tools.mdx
deleted file mode 100644
index f88ce710..00000000
--- a/apps/docs/docs/add_tools.mdx
+++ /dev/null
@@ -1,27 +0,0 @@
-## 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.
-
-
-
-
-### Adding MCP tools
-
-You can add a running MCP server in Settings -> Tools.
-
-
-
-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.
-
-
-
-
-### 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.
-
-
\ No newline at end of file
diff --git a/apps/docs/docs/agents.md b/apps/docs/docs/agents.md
deleted file mode 100644
index 6ffb91a3..00000000
--- a/apps/docs/docs/agents.md
+++ /dev/null
@@ -1,29 +0,0 @@
-# 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.
\ No newline at end of file
diff --git a/apps/docs/docs/agents.mdx b/apps/docs/docs/agents.mdx
deleted file mode 100644
index 6ffb91a3..00000000
--- a/apps/docs/docs/agents.mdx
+++ /dev/null
@@ -1,29 +0,0 @@
-# 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.
\ No newline at end of file
diff --git a/apps/docs/docs/create_agents.md b/apps/docs/docs/create_agents.md
deleted file mode 100644
index 72ee7853..00000000
--- a/apps/docs/docs/create_agents.md
+++ /dev/null
@@ -1,14 +0,0 @@
-## 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.
-
-
-
-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.
-
-
diff --git a/apps/docs/docs/create_agents.mdx b/apps/docs/docs/create_agents.mdx
deleted file mode 100644
index 72ee7853..00000000
--- a/apps/docs/docs/create_agents.mdx
+++ /dev/null
@@ -1,14 +0,0 @@
-## 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.
-
-
-
-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.
-
-
diff --git a/apps/docs/docs/data_sources.md b/apps/docs/docs/data_sources.md
deleted file mode 100644
index fcc39fe6..00000000
--- a/apps/docs/docs/data_sources.md
+++ /dev/null
@@ -1 +0,0 @@
-Coming soon.
\ No newline at end of file
diff --git a/apps/docs/docs/data_sources.mdx b/apps/docs/docs/data_sources.mdx
deleted file mode 100644
index fcc39fe6..00000000
--- a/apps/docs/docs/data_sources.mdx
+++ /dev/null
@@ -1 +0,0 @@
-Coming soon.
\ No newline at end of file
diff --git a/apps/docs/docs/graph.md b/apps/docs/docs/graph.md
deleted file mode 100644
index c5d47e95..00000000
--- a/apps/docs/docs/graph.md
+++ /dev/null
@@ -1,23 +0,0 @@
-# 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.
diff --git a/apps/docs/docs/graph.mdx b/apps/docs/docs/graph.mdx
deleted file mode 100644
index c5d47e95..00000000
--- a/apps/docs/docs/graph.mdx
+++ /dev/null
@@ -1,23 +0,0 @@
-# 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.
diff --git a/apps/docs/docs/hosted_setup.md b/apps/docs/docs/hosted_setup.md
deleted file mode 100644
index 27f9eabe..00000000
--- a/apps/docs/docs/hosted_setup.md
+++ /dev/null
@@ -1,156 +0,0 @@
-# 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.)
-
-
-2. Once in Studio, create a new blank project or use one of the example templates:
-
-
-
-3. Use the copilot to help you build agents:
-
-
-
-4. Ensure that the correct agent is set as the "start agent":
-
-
-
-5. Test out a chat in the playground to verify the agents' behavior:
-
-
-
-### 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//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//chat' \
---header 'Content-Type: application/json' \
---header 'Authorization: Bearer ' \
---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="",
- api_key="" # Generate this from /projects//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.
\ No newline at end of file
diff --git a/apps/docs/docs/hosted_setup.mdx b/apps/docs/docs/hosted_setup.mdx
deleted file mode 100644
index a564f1e9..00000000
--- a/apps/docs/docs/hosted_setup.mdx
+++ /dev/null
@@ -1,156 +0,0 @@
-# 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.)
-
-
-2. Once in Studio, create a new blank project or use one of the example templates:
-
-
-
-3. Use the copilot to help you build agents:
-
-
-
-4. Ensure that the correct agent is set as the "start agent":
-
-
-
-5. Test out a chat in the playground to verify the agents' behavior:
-
-
-
-### 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//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//chat' \
---header 'Content-Type: application/json' \
---header 'Authorization: Bearer ' \
---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="",
- api_key="" # Generate this from /projects//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.
\ No newline at end of file
diff --git a/apps/docs/docs/img/add-mcp-server.png b/apps/docs/docs/img/add-mcp-server.png
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