ChatBotKit

# ChatBotKit > ChatBotKit is an AI agent infrastructure platform for building, deploying, and operating production AI agents. It unifies agents, data, integrations, security, and observability in one place, supports any AI model from any vendor, and gives developers both a visual Blueprint designer and code-first SDKs to ship real agentic work. ChatBotKit lets developers compose AI agents from reusable building blocks - datasets, abilities, and integrations - then deploy them across web widgets, apps, Slack, Discord, WhatsApp, Telegram, and custom interfaces. Agents reason, plan, and execute multi-step tasks autonomously: resolving tickets, qualifying leads, processing documents, calling tools, and completing work using your data and systems. The platform handles tool calling, RAG, streaming, guardrails, and monitoring so teams skip months of infrastructure and go straight to production. Key capabilities include: - Agentic AI: agents that reason, plan, and execute multi-step tasks with tools and data - Tool calling and MCP: connect agents to APIs, databases, and internal tools with built-in OAuth and Model Context Protocol support - Multi-model support (OpenAI, Anthropic, Google, Meta, and more) - bring any model or your own - Knowledge bases and RAG with dataset integration (PDF, DOCX, CSV, JSON, text files) - Skillsets and abilities for extending agents with custom functions - Multi-channel deployment with embeddable widgets and messaging integrations - Built-in guardrails: content moderation, PII filtering, and compliance controls - Observability and governance: monitor every conversation, track agent performance, debug at scale - Enterprise security and GDPR/CCPA compliance - Partner API for white-label and multi-tenant applications ## Content Indexes - [Documentation Index](https://chatbotkit.com/docs/index.md): Complete list of all documentation articles - [Manuals Index](https://chatbotkit.com/manuals/index.md): Complete list of all technical manuals - [Tutorials Index](https://chatbotkit.com/tutorials/index.md): Complete list of all tutorials ## Getting Started - [Introduction](https://chatbotkit.com/docs/introduction.md): Core concepts including backstories, models, datasets, skillsets, and integrations - [API Documentation](https://chatbotkit.com/docs/api.md): Comprehensive API reference with authentication and endpoint details - [API Specification](https://chatbotkit.com/api/v1/spec.json): Full OpenAPI v3 specification for the ChatBotKit API ## Core Concepts - [Backstories](https://chatbotkit.com/docs/backstories.md): Defining agent personality, context, instructions, and capabilities - [Models](https://chatbotkit.com/docs/models.md): Understanding and selecting AI models - [Bots](https://chatbotkit.com/docs/bots.md): Creating and managing AI agents - [Datasets](https://chatbotkit.com/docs/datasets.md): Managing knowledge bases and RAG data sources - [Skillsets](https://chatbotkit.com/docs/skillsets.md): Extending agents with custom abilities, tool calling, and function calling - [Conversations](https://chatbotkit.com/docs/conversations.md): Managing agent interactions and session state ## Manuals - Technical Reference Documentation Comprehensive technical manuals provide detailed reference documentation for all platform features and capabilities: - [Authentication](https://chatbotkit.com/manuals/authentication.md): API authentication methods and security - [Bots](https://chatbotkit.com/manuals/bots.md): Complete agent configuration and management reference - [Blueprints](https://chatbotkit.com/manuals/blueprints.md): Designing reusable AI agent templates with the visual Blueprint designer - [Starter Templates](https://chatbotkit.com/manuals/starter-templates.md): Pre-built agent templates to get to production fast - [Datasets](https://chatbotkit.com/manuals/datasets.md): Dataset creation, file management, and search operations - [Skillsets](https://chatbotkit.com/manuals/skillsets.md): Building and mana […gekürzt]