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Kai Renner

Senior AI/ML engineering leader with a PhD in Computer Engineering. Builds agentic AI platforms that run in production.

Tool Calling Latency Showdown: Benchmarking Function Execution Performance Across AI Agent Frameworks

June 5, 2026 by Kai Renner

“We benchmarked tool calling latency across LangChain, LlamaIndex, CrewAI, AutoGen, and the Claude Agent SDK. Here’s what the numbers actually tell you about framework performance.”

Categories "Framework Benchmarks" Leave a comment

Streaming Agent Frameworks: Latency and Throughput Benchmarks for Real-Time AI Applications

April 11, 2026 by Kai Renner

Hands-on latency and throughput benchmarks for LangGraph, CrewAI, AutoGen, and Haystack in streaming AI applications. Learn which framework wins for real-time workloads.

Categories Benchmarks Tags [streaming, AutoGen, benchmarks, CrewAI, Haystack, LangGraph, latency, performance], real-time AI, throughput Leave a comment

Recent Posts

  • Agent Observability Stack Comparison: Tracing Tool Selection, LLM Call Logging, and Real-Time Performance Dashboards for LangGraph and CrewAI
  • Long-Context AI Agent Performance: Benchmarking Sliding Windows, Summarization, and RAG Strategies Across LangGraph, CrewAI, and Bedrock
  • Agent State Management and Memory Persistence: Architectural Patterns and Performance Benchmarks Across LangGraph, CrewAI, and AutoGen
  • AI Agent Tool Integration Patterns: Comparing REST APIs, OpenAPI, and Native Function Binding Across LangGraph, CrewAI, and AutoGen
  • Preventing Agent Hallucinations: Testing and Validation Strategies for Reliable AI Agent Deployments

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