Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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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.
Learn to identify and fix performance bottlenecks in AI applications using cProfile, py-spy, memory profiling, and optimization strategies for LLM pipelines and data processing.
Learn how to architect event-driven AI agents that react to real-time events using message buses, async handlers, and scalable processing patterns in Python with FastAPI.
Discover how to identify and fix excessive token consumption in AI agents by analyzing prompt bloat, conversation history growth, tool definition overhead, and applying targeted optimization strategies.
Build an intelligent autocomplete system that suggests semantically relevant queries as users type, combining query embeddings with popularity weighting and user personalization for a superior search experience.
Master error handling in async Python for AI agents. Learn asyncio.timeout, task cancellation, cleanup patterns, and exception groups for robust agent systems.
Design proactive conversational AI agents that initiate helpful interactions at the right time, suggest relevant next actions, and respect user preferences around unsolicited outreach.
Build an AI-powered calendar management agent that checks availability across time zones, resolves scheduling conflicts, and handles rescheduling workflows using the Google Calendar API.
Explore how Graph RAG combines knowledge graphs with vector retrieval to answer multi-hop questions that standard RAG cannot. Covers graph construction, entity linking, and Microsoft GraphRAG.
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