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Observing Codex MCP Tool Calls with Langfuse

Suppose I have a small task-management app with two MCP tools: tasks_search Read matching tasks task_mark_done Complete one task after confirmationI connect the app's MCP server t

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pgvector and RAG, Explained Through a Real Knowledge Workflow

RAG sounds more mysterious than it is. The name means Retrieval-Augmented Generation. That is a long way to say: before asking an AI model to answer, first retrieve the most relevant source material,

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MCP as a Safe AI Integration Boundary

MCP is interesting because it makes AI integrations feel less like prompt magic and more like software boundaries. That is the part I care about. A model should no

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Vercel AI SDK with Explicit Tool Boundaries

The risky part of an AI feature is not the chat UI. The risky part is what the chat is allowed to do. It is easy to make an assistant feel powerful by giving it tools. With something like the [Vercel

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