Wfgy Promptbundle Tools

Configuration File: wfgy_promptbundle_tools.json Tool Type: Local Tools Count: 1

This page contains all tools defined in the wfgy_promptbundle_tools.json configuration file.

Available Tools

WFGY_triage_llm_rag_failure (Type: WFGYPromptBundleTool)

Generate a structured prompt bundle (system + user message) to triage LLM/RAG failures using the …

WFGY_triage_llm_rag_failure tool specification

Tool Information:

  • Name: WFGY_triage_llm_rag_failure

  • Type: WFGYPromptBundleTool

  • Description: Generate a structured prompt bundle (system + user message) to triage LLM/RAG failures using the WFGY ProblemMap (No.1..No.16). Returns prompts, a minimal-fix checklist, and links to the public ProblemMap. No LLM or external API call is made.

Parameters:

  • bug_description (string) (required) Free-text description of the LLM/RAG incident. Include the user prompt, retrieved context, model answer, and any relevant logs.

  • audience (string) (optional) Target audience for the prompt bundle tone. ‘beginner’ uses plain language, ‘engineer’ is concise and diagnostic, ‘infra’ is ops-focused.

Example Usage:

query = {
    "name": "WFGY_triage_llm_rag_failure",
    "arguments": {
        "bug_description": "example_value"
    }
}
result = tu.run(query)