- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
131 lines
3.9 KiB
Markdown
131 lines
3.9 KiB
Markdown
# Dexto Examples
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This directory contains example code and configurations demonstrating how to use Dexto in various contexts.
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## Code Examples
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### Basic Agent Usage (`basic-agent-example.ts`)
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The simplest example of how to use the Dexto Agent SDK. Shows:
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- Creating an agent with minimal configuration
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- Starting and stopping the agent
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- Creating a session
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- Using `generate()` for request/response interactions
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- Token usage tracking
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Run it with:
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```bash
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npx tsx basic-agent-example.ts
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```
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### LangChain Integration (`dexto-langchain-integration/`)
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Shows how to integrate Dexto with LangChain, useful if you're already using LangChain in your project.
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### Agent Manager (`agent-manager-example/`)
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Demonstrates using the AgentManager API for managing multiple agents programmatically.
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### Agent Delegation (`agent-delegation/`)
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Shows a pattern for implementing a multi-agent coordinator/specialist architecture where one agent delegates tasks to specialized agents.
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### Demo Server (`resources-demo-server/`)
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A simple HTTP server example demonstrating Dexto's resource authorization flow.
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## Agent Configuration Examples
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See the `/agents/` directory for YAML configuration examples for different use cases.
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## How to Use These Examples
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1. **Copy an example** to your project or workspace
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2. **Customize** the configuration for your needs
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3. **Install dependencies** if it has a `package.json`
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4. **Follow the README** for setup and running instructions
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Each example is self-contained and can be run independently.
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## Platform Integration Examples
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These examples show how to integrate DextoAgent with different messaging platforms. They are **reference implementations** that you can customize and extend for your own use cases.
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### Discord Bot (`discord-bot/`)
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A complete Discord bot integration using discord.js and the Discord Gateway API.
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**Features:**
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- Responds to messages in DMs and server channels
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- Support for the `!ask` command prefix in channels
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- Image attachment processing
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- Rate limiting per user
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- Persistent per-user conversation sessions
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- Tool call notifications
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**Quick Start:**
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```bash
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cd discord-bot
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pnpm install
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cp .env.example .env
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# Add your DISCORD_BOT_TOKEN to .env
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pnpm start
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```
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**See:** [`discord-bot/README.md`](./discord-bot/README.md) for detailed setup and usage instructions.
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### Telegram Bot (`telegram-bot/`)
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A complete Telegram bot integration using grammy and the Telegram Bot API.
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**Features:**
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- Responds to messages in DMs and group chats
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- Support for `/ask` command and `/start` menu
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- Image attachment processing
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- Inline query support (use bot username in any chat)
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- Session reset button
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- Concurrency control for inline queries
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- Persistent per-user conversation sessions
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- Tool call notifications
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**Quick Start:**
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```bash
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cd telegram-bot
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pnpm install
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cp .env.example .env
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# Add your TELEGRAM_BOT_TOKEN to .env
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pnpm start
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```
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**See:** [`telegram-bot/README.md`](./telegram-bot/README.md) for detailed setup and usage instructions.
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## Building Your Own Integration
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To build your own platform integration:
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1. **Start with a reference implementation** - Use `discord-bot` or `telegram-bot` as a template
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2. **Adapt the bot.ts** - Replace platform-specific code with your target platform's SDK
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3. **Keep the pattern** - Receive a pre-initialized DextoAgent and implement platform-specific I/O
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4. **Reuse the config** - Use the same agent-config.yml pattern for configuration
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5. **Add main.ts** - Create a standalone runner that initializes the agent and starts your bot
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The key pattern is:
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```typescript
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export function startMyBot(agent: DextoAgent) {
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// Platform-specific setup
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// Use agent.run() to process user input
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// Use agent.agentEventBus to listen for events
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// Return your platform's client/connection object
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}
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```
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## Documentation
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- [Dexto Documentation](https://dexto.dev)
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- [DextoAgent API](https://docs.dexto.dev)
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- [Configuration Reference](../agents/examples/README.md)
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## License
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MIT
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