LLM x dbt MetricFlow: Building an 'Error-Free' Autonomous AI Data Agent That Eliminates Definition Drift

SQL' in Marketing Data Analysis and a New SolutionAre you tired of 'plausible but false SQL'?With the rise of generative AI, ...
note

[Reducing Token Costs] Saving on API charges with your ChatGPT subscription—Running Python-based AI workflows with Codex CLI

Those who have a ChatGPT Plus or Pro subscription and are building Python-based AI workflows (apps) that call OpenAI models. You may be able to use the Codex usage quota included in your ChatGPT ...
finance.biggo

Jess Wang: Vector Search Costs 4x More Than Agentic Search for Coding Agents — With the Same Accuracy

A head-to-head evaluation run by Braintrust's Jess Wang found that vector search and agentic search achieve identical accuracy when localizing bugs ...
learn

Track prompt versions alongside application versions

This feature is in Beta. This guide shows you how to integrate prompts from the MLflow Prompt Registry into your agents while tracking both prompt and application versions together. When you use ...
blog.csdn

Agent-Reach 实战：用 CLI + Python 扩展 AI Agent 触达能力

AI Agent 的落地瓶颈往往不在编排，而在如何安全、稳定地触达外部资源。CLI 作为进程级通用接口，天然具备跨语言、隔离性好、易超时控制等优势，配合 Python 生态的丰富库支持，成为扩展 Agent 能力的理想组合。通过 asyncio 与线程池可有效提升 IO 密集型任务的并发吞吐，而信号量限流与指数退避 ...