# Slide Framework

## Docs

- [Tool collections](https://slide.mintlify.app/api-reference/lye-collections.md): Detailed reference for all Lye tool collections
- [Tool format](https://slide.mintlify.app/api-reference/lye-tool-format.md): Understanding Lye tool structure and usage
- [Attachment](https://slide.mintlify.app/api-reference/narrator-attachment.md): Represents a file attached to a message
- [FileStore](https://slide.mintlify.app/api-reference/narrator-filestore.md): File storage system with validation, processing, and retrieval
- [Message](https://slide.mintlify.app/api-reference/narrator-message.md): Represents a single message within a conversation thread
- [Thread](https://slide.mintlify.app/api-reference/narrator-thread.md): Represents a conversation thread containing messages
- [ThreadStore](https://slide.mintlify.app/api-reference/narrator-threadstore.md): Thread storage with support for memory, SQLite, and PostgreSQL backends
- [SlackApp](https://slide.mintlify.app/api-reference/space-monkey-slackapp.md): Main class for deploying Tyler agents as Slack bots
- [Agent](https://slide.mintlify.app/api-reference/tyler-agent.md): Core agent class for building AI assistants
- [AgentResult](https://slide.mintlify.app/api-reference/tyler-agentresult.md): Result object from non-streaming agent execution
- [EventType](https://slide.mintlify.app/api-reference/tyler-eventtype.md): Enumeration of all event types emitted during agent execution
- [ExecutionEvent](https://slide.mintlify.app/api-reference/tyler-executionevent.md): Atomic unit of execution information emitted during agent processing
- [RetryConfig](https://slide.mintlify.app/api-reference/tyler-retryconfig.md): Configuration for automatic retry behavior in agent execution
- [StructuredOutputError](https://slide.mintlify.app/api-reference/tyler-structuredoutputerror.md): Exception raised when structured output validation fails after all retry attempts
- [ToolContext](https://slide.mintlify.app/api-reference/tyler-toolcontext.md): Request-scoped identity and metadata for tool execution
- [Narrator CLI](https://slide.mintlify.app/apps/narrator-cli.md): Command-line interface for managing Narrator database storage
- [Building Slack agents](https://slide.mintlify.app/apps/slack-agent.md): Deploy your AI agents as Slack agents
- [Tyler CLI](https://slide.mintlify.app/apps/tyler-cli.md): Command-line interface for Tyler agent development
- [Agent-to-Agent (A2A) protocol](https://slide.mintlify.app/concepts/a2a.md): Using A2A Protocol v0.3.0 to enable multi-agent coordination and delegation across platforms
- [Architecture overview](https://slide.mintlify.app/concepts/architecture.md): Understanding the Slide framework architecture
- [Agents](https://slide.mintlify.app/concepts/how-agents-work.md): Understanding agents in the Slide framework
- [Model Context Protocol (MCP)](https://slide.mintlify.app/concepts/mcp.md): Using MCP to extend Slide agents with external tools and services
- [Tools](https://slide.mintlify.app/concepts/tools.md): Understanding and creating tools for Slide agents
- [A2A integration guide](https://slide.mintlify.app/guides/a2a-integration.md): Step-by-step guide to integrating Agent-to-Agent (A2A) Protocol v0.3.0 with Tyler agents
- [Adding tools to agents](https://slide.mintlify.app/guides/adding-tools.md): Learn how to give your agents new capabilities with tools
- [Agent delegation](https://slide.mintlify.app/guides/agent-delegation.md): Build multi-agent systems where specialized agents work together
- [Conversation persistence](https://slide.mintlify.app/guides/conversation-persistence.md): Build agents that store conversations and maintain context across sessions
- [MCP Integration](https://slide.mintlify.app/guides/mcp-integration.md): Connect your agents to Model Context Protocol servers using declarative config
- [Advanced patterns](https://slide.mintlify.app/guides/patterns.md): Design patterns and best practices for building sophisticated AI applications
- [Skills & AGENTS.md](https://slide.mintlify.app/guides/skills.md): Give your agents reusable instructions — on-demand or always-on
- [Streaming responses](https://slide.mintlify.app/guides/streaming-responses.md): Build real-time interactive agents with streaming
- [Structured output & dependency injection](https://slide.mintlify.app/guides/structured-output.md): Get type-safe, validated data from your agents and inject runtime dependencies into tools
- [Testing agents](https://slide.mintlify.app/guides/testing-agents.md): Build reliable agents with comprehensive testing
- [Your first agent](https://slide.mintlify.app/guides/your-first-agent.md): Step-by-step guide to building your first AI agent
- [Overview](https://slide.mintlify.app/introduction.md): A development kit for manifesting AI agents with a complete lack of conventional limitations.
- [Quickstart](https://slide.mintlify.app/quickstart.md): Build your first AI agent in 5 minutes
- [Using Lye](https://slide.mintlify.app/standalone-packages/using-lye.md): Powerful tools for any Python application
- [Using Narrator](https://slide.mintlify.app/standalone-packages/using-narrator.md): Add conversation persistence to any AI application with Narrator

## OpenAPI Specs

- [openapi](https://slide.mintlify.app/api-reference/openapi.json)