llm-pattern-selection

For unreliable tool use and agent loops, use the Agent Loop design pattern to map LLM integration frictions and improve reliability. This pattern provides invocation rules and practical guidance for applying LLM components safely in production codebases.

To choose the right LLM pattern for your software integration, describe your integration pain points and desired outcomes. A decision-tree mapping approach identifies the most appropriate pattern, such as RAG, Structured Generation, or Guardrails, to resolve specific frictions.

You need guardrails and structured generation for LLM components when mapping integration frictions to improve safety and reliability. These design patterns enforce constraints on LLM outputs, ensuring predictable behavior when LLMs are used as software components in production environments.

The best way to integrate prompt engineering patterns into a production codebase is by applying proven design patterns with clear invocation rules. This approach covers prompt engineering, tool use, and production monitoring to ensure reliable LLM component integration.

Yes, this LLM pattern selection approach works for both development and production contexts. It provides clear invocation guidance for selecting and applying patterns across different software engineering environments to improve reliability and safety.

You need an evaluation harness pattern for your LLM integration to map integration frictions and improve reliability. The evaluation harness is one of the proven design patterns that provides practical guidance for monitoring and validating LLM components in software systems.