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Dynamic Prompt Routing and Token Budget Optimization for NEPSE Multi‑Agent LLM Trading Loops

When the Nepal Stock Exchange opened on a record‑breaking day last month, our three‑agent LLM system hit a wall: the market summary API throttled, …

Orchestrating Multi-Agent LLM Trading Loops for the Nepal Stock Exchange: State Machines, Consensus Protocols, and Fail-Safes

Have you ever watched an LLM-powered trading agent go completely rogue during a market spike, spinning into an infinite loop of optimistic buy reco…

Beyond the AI Hype: Engineering Resilient Financial Agent Workflows for the Nepal Stock Exchange (NEPSE)

If you have ever deployed an LLM agent to fetch live financial disclosures or corporate filings, you already know the sinking feeling of watching a…

Beyond Vector Search: Building a Dynamic Knowledge Graph Engine for Generative AI Pipelines

By programmatically extracting relational triplets from raw API data using structured schemas and modeling them with NetworkX, we can transform iso…

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