Hermes IDE
PulseAugur coverage of Hermes IDE — every cluster mentioning Hermes IDE across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Developers urged to version control AI system prompts for better logging and debugging
Developers often overlook the critical role of system prompts in AI applications, treating them as simple text strings without proper version control. This can lead to subtle, unlogged changes in AI behavior that are di…
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Managing AI conversation history in TypeScript to cut costs and context errors
This article discusses strategies for managing multi-turn AI conversations in TypeScript, focusing on efficient handling of chat history to mitigate costs and context limit issues. It proposes a `Window` class that sepa…
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LLM cost attribution: Tagging agent traces with OpenTelemetry
A developer has outlined a method for attributing costs associated with generative artificial intelligence agents by leveraging OpenTelemetry tracing. The approach involves tagging spans within agent execution traces wi…
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Redact PII in LLM Traces with Centralized Span Processor
A new approach to redacting Personally Identifiable Information (PII) from LLM application traces focuses on a centralized span processor rather than modifying individual call sites. This method ensures consistent PII s…
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LLM Prompting: Position Beats Rank for Long Contexts
A common issue in long-context prompting is that language models struggle to accurately retrieve information from the middle of a provided text. Research, such as the "Lost in the Middle" paper, shows that models perfor…
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LLM Ops: Detect Eval Drift and Track Customer Costs
The author discusses two common challenges in managing LLM applications: eval set drift and per-customer cost reporting. For eval set drift, they propose using Maximum Mean Discrepancy (MMD) on embeddings to detect when…