What’s an Agent?
Think of agents as your smart AI assistants that can handle complex tasks, remember conversations, and even work with other agents. They’re not just chatbots - they’re intelligent systems that can analyze data, make decisions, and take actions.Smart & Contextual
Remembers conversations, understands context, and learns from interactions
Tool-Powered
Uses custom tools to access databases, APIs, and perform real actions
Multi-Model Support
Works with OpenAI, Anthropic Claude, and Google Gemini models
Team Players
Agents can delegate tasks to other specialized agents
Vector Memory
Built-in semantic search and RAG capabilities with public API access
Testing Friendly
Public methods make testing and experimentation a breeze
Creating Your First Agent
Ready to build your first AI agent? It’s easier than you think! Let’s create a helpful customer support agent that can answer questions and solve problems.Quick Start with Artisan
Fire up your terminal and run this magical command:Terminal
The Agent Blueprint
app/Agents/CustomerSupportAgent.php
Agent Configuration Options
Unleashing Your Agent’s Powers
Now comes the fun part - putting your agent to work! Vizra ADK gives you a powerful and simple way to interact with your agents.Let’s Chat! Using the Fluent API
Working with agents feels natural with our fluent API. Check out these examples:Real-time Magic with Streaming
Want to see your agent think in real-time? Enable streaming for that ChatGPT-like experience:Managing Conversation History
By default, agents don’t send conversation history to the LLM (for better performance and lower costs). But for chat agents, you’ll want context! Here’s how to control what history gets sent to the LLM:Customizing Agent Behavior
Want to add your own special sauce? Agents come with powerful lifecycle hooks that let you customize exactly how they work. It’s like having backstage passes to your agent’s brain!Available Hooks
- beforeLlmCall - Tweak messages before they hit the AI
- afterLlmResponse - Process AI responses your way
- beforeToolCall - Modify tool inputs on the fly
- afterToolResult - Transform tool outputs
- onToolException - Handle tool execution errors
Dynamic Prompts
Want to test different personalities without changing code? Prompt versioning lets you A/B test, switch between tones, and evolve your agent’s voice on the fly!.md files in resources/prompts/{agent_name}/ for easy version control!
Learn more about Dynamic Prompts
Dynamic Prompts with Blade Templates
Create dynamic, context-aware prompts using Laravel’s Blade templating engine. Your prompts can adapt based on user data, session state, and custom variables.Quick Example
Save your prompt as.blade.php to enable dynamic content:
resources/prompts/agent_name/default.blade.php
Adding Custom Variables
Inject your own data by implementinggetPromptData() in your agent:
SubAgents: Building Agent Teams
Why have one agent when you can have a whole team? SubAgents let you create specialized agents that work together, with a manager agent delegating tasks to the right specialist. Think of it as building your own AI company!What Are SubAgents?
SubAgents are specialized agents that a parent agent can delegate tasks to. When you define subAgents on an agent, Vizra ADK automatically adds theDelegateToSubAgentTool - allowing your manager agent to intelligently route requests to the right specialist.
How SubAgent Delegation Works
When a user asks a question, the manager agent decides whether to handle it directly or delegate:Creating Specialized SubAgents
Each subAgent should be focused on a specific domain:SubAgent Benefits
Separation of Concerns
Each agent focuses on what it does best
Specialized Tools
SubAgents can have their own unique tools
Different Models
Use GPT-4 for complex tasks, GPT-3.5 for simple ones
Easier Testing
Test each specialist agent independently
Advanced Agent Techniques
Ready to level up? Here are some pro tips and advanced features that’ll make your agents work harder and smarter!Vector Memory & RAG
Give your agents superpowers with built-in semantic search and knowledge retrieval! Perfect for building documentation assistants, knowledge bases, and intelligent Q&A systems.Agent with Vector Memory
Vector Memory Pro Tips
- Use progressive API: simple strings for prototypes, arrays for production
- Public methods make testing in Tinkerwell super easy
- Organize with namespaces: ‘docs’, ‘faqs’, ‘policies’, etc.
- Perfect for building chatbots that remember context
Background Processing with Async
Got heavy lifting to do? Send your agents to work in the background:Vision & Multimodal Magic
Your agents aren’t just text wizards - they have eyes too! Send images, documents, and watch the magic happen:Fine-Tune on the Fly
Need more creativity? Want faster responses? Override any parameter at runtime:Memory That Actually Remembers
Unlike that friend who forgets your birthday every year, your agents have perfect memory! They remember everything important about your conversations and context.Conversation History
Every message in the session
Tool Results
What tools did and returned
User Context
Who they’re talking to
Custom Data
Any context you provide
Understanding the Agent Lifecycle
When you ask an agent to do something, it goes through a carefully orchestrated lifecycle. Understanding this flow helps you build more powerful agents and debug issues faster!The Request Journey
Lifecycle Hooks - Your Power Points
Agents provide strategic hooks where you can intercept and modify behavior. These are your control points for customization:beforeLlmCall() - Pre-Processing
Called before sending messages to the AI. Perfect for adding context, filtering messages, or injecting system prompts.afterLlmResponse() - Post-Processing
Called after receiving the AI’s response. Transform responses, extract insights, or trigger side effects. Now includes the original request for complete logging.Tool Execution Hooks
Control tool execution with beforeToolCall() and afterToolResult() hooks.Lifecycle Events
As your agent works, it broadcasts events you can listen to for monitoring, logging, or triggering other actions:Pro Tips from the Trenches
Want to build agents that users actually love? Here’s the wisdom we’ve gathered from building hundreds of agents:Crystal Clear Instructions
Write instructions like you’re explaining to a smart friend. Be specific about what you want!
Right Model for the Job
GPT-4 for complex reasoning, GPT-3.5 for quick tasks. Don’t use a Ferrari to go to the corner store!
Hook Into Everything
Use lifecycle hooks for debugging and monitoring. You’ll thank yourself later!
Delegate Like a Boss
Complex workflows? Use sub-agents! Let specialists handle what they do best.
Stream for the Win
Enable streaming for long responses. Users love seeing agents “think” in real-time!
Ready to Build Something Amazing?
You’ve got the knowledge, now let’s put it to work!Power Up with Tools
Give your agents superpowers with custom tools
Deep Dive API Docs
Every method, property, and secret revealed