ChatBotKit is a framework for building conversational chatbots. It provides a set of tools and libraries for developing, training, and deploying chatbots across different platforms.
๐Ÿ”— Connect and Use ChatBotKit
1. ๐Ÿ”‘ Connect your ChatBotKit accou
2. โœ… Select an action
3. ๐Ÿš€ Go live with the agent
What do you want to do?

API actions for ChatBotKit for AI assitants/agents

Language
JS
PYTHON

Create Chatbot

Create a new chatbot instance in ChatbotKit
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_CHATBOT])

Delete Chatbot

Delete an existing chatbot from ChatbotKit
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_CHATBOT])

Update Chatbot Settings

Modify the settings of an existing chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_CHATBOT_SETTINGS])

Train Chatbot

Initiate or update the training process for a chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAIN_CHATBOT])

Add Intent

Add a new intent to the chatbot's knowledge base
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_INTENT])

Remove Intent

Remove an existing intent from the chatbot's knowledge base
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_INTENT])

Add Entity

Add a new entity to the chatbot's recognition system
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_ENTITY])

Remove Entity

Remove an existing entity from the chatbot's recognition system
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_ENTITY])

Create Conversation Flow

Design and implement a new conversation flow for the chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_CONVERSATION_FLOW])

Edit Conversation Flow

Modify an existing conversation flow in the chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EDIT_CONVERSATION_FLOW])

Generate Response

Manually trigger the chatbot to generate a response
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_RESPONSE])

Export Chatbot Data

Export the chatbot's data, including intents, entities, and conversation flows
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXPORT_CHATBOT_DATA])

Import Chatbot Data

Import data into the chatbot, including intents, entities, and conversation flows
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.IMPORT_CHATBOT_DATA])

Enable Chatbot

Activate a chatbot, making it available for user interactions
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ENABLE_CHATBOT])

Disable Chatbot

Deactivate a chatbot, preventing user interactions
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DISABLE_CHATBOT])

API Integration

Integrate an external API with the chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.API_INTEGRATION])

Generate Analytics Report

Generate a report on the chatbot's performance and user interactions
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_ANALYTICS_REPORT])

New Message Received

Triggered when the chatbot receives a new message from a user
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_MESSAGE_RECEIVED])

Intent Detected

Triggered when the chatbot identifies a specific intent in a user's message
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.INTENT_DETECTED])

Entity Recognized

Triggered when the chatbot recognizes a specific entity in a user's message
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ENTITY_RECOGNIZED])

Conversation Started

Triggered when a new conversation is initiated with the chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CONVERSATION_STARTED])

Conversation Ended

Triggered when a conversation with the chatbot is concluded
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CONVERSATION_ENDED])

Sentiment Detected

Triggered when the chatbot detects a specific sentiment in a user's message
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SENTIMENT_DETECTED])

User Feedback Received

Triggered when a user provides feedback on the chatbot's performance
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.USER_FEEDBACK_RECEIVED])

Training Completed

Triggered when the chatbot completes a training session
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAINING_COMPLETED])

Error Occurred

Triggered when an error occurs during the chatbot's operation
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ERROR_OCCURRED])

User Authentication

Triggered when a user authenticates with the chatbot
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.USER_AUTHENTICATION])

Session Timeout

Triggered when a user's session with the chatbot times out
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SESSION_TIMEOUT])

Knowledge Base Updated

Triggered when the chatbot's knowledge base is updated
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.KNOWLEDGE_BASE_UPDATED])

Custom Event

Triggered when a custom-defined event occurs in the chatbot system
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CUSTOM_EVENT])

Frequently asked questions

What is Composio.dev?

Composio.dev is a platform for building AI applications, designed to make the process of developing AI solutions super easy and fun! It provides a comprehensive set of tools and libraries that simplify the process of developing AI solutions, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support ChatBotKit?

Composio.dev seamlessly integrates with ChatBotKit, allowing you to leverage its capabilities within the Composio.dev platform. You can utilize ChatBotKit to call functions across various platforms, including Google, GitHub, and others, making it a breeze to incorporate different services into your AI applications. Additionally, it supports user authentication via OAuth2 and can work in conjunction with other popular frameworks like LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with ChatBotKit?

With ChatBotKit, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate ChatBotKit into my project?

Composio.dev provides a seamless integration for ChatBotKit, making it super easy to incorporate this powerful framework into your projects. You can leverage the Composio.dev API to call functions from ChatBotKit, allowing you to tap into its capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with your preferred programming language and integrate ChatBotKit into your projects seamlessly.

What is the pricing for ChatBotKit?

ChatBotKit is completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes it accessible for developers and organizations of all sizes to explore and experiment with this powerful tool without any upfront costs. Whether you're a student working on a personal project or a startup building the next big thing, you can get started with ChatBotKit without worrying about breaking the bank.

What kind of authentication is supported for ChatBotKit?

ChatBotKit supports OAuth2 authentication, ensuring secure and authorized access to its functionalities. You can leverage the Composio.dev API to handle authentication and call functions from ChatBotKit seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add ChatBotKit to my project?

Absolutely! You can easily incorporate ChatBotKit into your project by utilizing the Composio.dev API. This API allows you to call functions from ChatBotKit, enabling you to leverage its capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add ChatBotKit to your project with ease.

What is the accuracy of ChatBotKit?

ChatBotKit is designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. ChatBotKit's comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for ChatBotKit?

ChatBotKit can be used for a wide range of AI applications, making it a versatile tool for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. It's particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, ChatBotKit can help you bring your ideas to life.

How does ChatBotKit handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and ChatBotKit takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. ChatBotKit provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using ChatBotKit for your AI development needs.
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