Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Langchain_core.tools tool decorator: master LangChain tool creation patterns including the @tool decorator, StructuredTool class, Pydantic input schemas, async tools, and error handling for production-grade agent tools.
A deep comparison of LangChain and the OpenAI Agents SDK covering design philosophy, learning curve, feature depth, and when to choose each framework for production agentic AI systems.
The open-source LLM observability platform Langfuse secures major funding as enterprises demand better monitoring and debugging tools for production AI agents.
Implement persistence and time travel in LangGraph using MemorySaver, SqliteSaver, and PostgresSaver to checkpoint agent state, replay past executions, and recover from failures.
Build intelligent decision points in LangGraph using conditional edges, router functions, and multi-path branching to create agents that dynamically choose their execution path.
Build resilient LangGraph workflows with try/except patterns in nodes, fallback conditional edges, configurable retry logic, and dead-end recovery strategies for production agent systems.
Learn how to install LangGraph, define a StateGraph with typed state, add nodes and edges, compile the graph, and invoke your first stateful agent workflow in Python.
Implement human approval gates in LangGraph using interrupt_before, interrupt_after, and resume patterns to build agent workflows that pause for human review before executing sensitive actions.
Build multi-agent systems in LangGraph using subgraph composition, supervisor routing, and parallel worker execution to create specialized agent teams that collaborate on complex tasks.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.
