Blog Archive
Graph-Based Orchestration: Sequential, Parallel, and Handoff Patterns
Master graph-based orchestration patterns for multi-agent systems with LangGraph, including sequential processing, parallel execution, and agent handoff mechanisms.
Event-Driven Agent Workflows with LlamaIndex
Build production-grade event-driven agent workflows using LlamaIndex Workflows, with practical examples of async orchestration, event handling, and multi-agent pipelines.
The Agent SDK Landscape Deep Dive: LangGraph, CrewAI, MAF, ADK
A comprehensive comparison of the leading AI agent frameworks in 2026: LangGraph, CrewAI, Microsoft Agent Framework, and Google ADK, with practical guidance on choosing the right one.
Vertical AI Agents: Domain-Specific Orchestration for Healthcare, Legal, Finance
Explore how vertical AI agents are transforming healthcare, legal, and finance industries with domain-specific orchestration, compliance-aware workflows, and specialized tool integration.
Building a Personal Research Assistant with Long-Context Agents
Learn how to build a personal research assistant using long-context AI agents that can process entire document collections, synthesize findings, and deliver structured research reports.
Agentic Commerce: From Recommendation to Autonomous Transaction
Build agents that handle the full commerce lifecycle—from product discovery to autonomous checkout. Learn to integrate payment gateways, handle idempotency, and implement fraud detection for agentic transactions.
LLM Gateways: Unified Routing, Quotas, and Observability for AI Traffic
Deploy an LLM gateway to unify routing, quotas, and observability across your AI infrastructure. Learn to set up LiteLLM as a production gateway for 100+ LLM providers.
Agent-to-Database: Secure Natural Language Interfaces
Build agents that query databases using natural language. Learn to create secure text-to-SQL interfaces with PostgreSQL, validate queries, and prevent SQL injection in LLM-generated queries.
Evals for Enterprise Agents: From Unit Tests to Regression Suites
Build comprehensive evaluation suites for enterprise agents. Learn to create unit tests, regression tests, and benchmark suites for multi-step agent reasoning and tool selection.
Structured Outputs for Agents: JSON Schema Validation with Pydantic
Ensure reliable agent outputs with JSON Schema validation using Pydantic. Learn to define typed tool outputs, validate LLM responses, and build production-grade structured output pipelines.
Prompt Caching for Agentic Loops: Cutting Costs in Multi-Turn Systems
Reduce LLM API costs in multi-turn agent systems with prompt caching strategies. Learn to cache system instructions, tool definitions, and conversation context for agentic workflows.
Context Engineering: Managing What the Agent Sees
Master context engineering for LLM agents. Learn to control what information reaches the model, manage token budgets, and optimize context windows for better agent performance and lower costs.