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End of an Agony. Real production service that uses LLM to earn money my team had made and now we are so happy that it will die. Here are some of my final "experiences".

Reddit r/LocalLLaMA · 4d ago

A developer recounts the painful experience of building and eventually shutting down a production LLM-based service for medical appointment scheduling, highlighting issues with model reliability, structured output validation, and provider uptime.

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#pydantic-ai

@QingQ77: Turn the trace logs of a Pydantic AI agent into an interactive flowchart — user requests, model calls, tools used, sub-agents invoked, token counts and costs, all at a glance. https://github.com/vstorm-co/agentca…

X AI KOLs Timeline · 2026-06-16 Cached

agentcanvas is a Python tool that converts trace logs of Pydantic AI agents in Logfire into interactive flowcharts, clearly showing the complete workflow including model calls, tool usage, sub-agents, token consumption, and costs.

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#pydantic-ai

Your agent is only as good as its harness. I open-sourced one with 40 capabilities behind a single function call

Reddit r/AI_Agents · 2026-06-04

An open-source agent harness with 40 capabilities behind a single function call, including persistent memory, Docker sandbox, auto-summarization, stuck-loop detection, budget caps, and live run forking for branching agent execution. Built on Pydantic AI and designed to replace the 2000 lines of glue code every production agent needs.

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