Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to install the Anthropic Python SDK, define tools, create your first Claude-powered agent, and execute multi-step workflows with structured tool calling.
Anthropic's computer use capability graduates from beta, allowing Claude agents to use any desktop application like a human would, marking a new era in AI automation.
Anthropic releases its official Claude Agent SDK with built-in tool use, safety guardrails, multi-agent orchestration, and production-ready patterns for enterprise deployment.
Learn how to orchestrate AI agent workflows with Apache Airflow. Covers DAG design patterns, custom operators for LLM calls, XCom data passing, sensors, and scheduling strategies.
Implement secure authentication for AI agent APIs using API keys for simple access, OAuth2 for delegated authorization, and JWT tokens for stateless verification. Learn token lifecycle management, scope-based permissions, and security best practices.
Generate comprehensive API documentation for AI agent services using OpenAPI specifications, Redoc rendering, and interactive playground UIs. Learn automated spec generation from FastAPI, example-driven documentation, and SDK generation from your spec.
Design machine-readable API error responses for AI agents using RFC 7807 Problem Details, structured error codes, and retry hints. Build error responses that agents can parse and act on programmatically.
Design an API gateway for AI agent microservices that handles intelligent routing, authentication, and rate limiting while keeping backend services focused on their core responsibilities.
Build generic API integration tools that let AI agents call REST and GraphQL endpoints with proper authentication, error handling, retry logic, and response mapping. Learn patterns for building flexible yet safe API tools.
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