{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "global-fde-awesome-fde-resources--pick-evaluation-tools-for-llm-app",
 "repo": "global-fde/awesome-fde-resources",
 "repo_url": "https://github.com/global-fde/awesome-fde-resources",
 "repo_slug": "global-fde-awesome-fde-resources",
 "title": "Pick evaluation tools for a customer LLM app",
 "page_title": "How to pick evaluation tools for a customer LLM app with Awesome Fde Resources",
 "summary": "Shortlist evaluation and observability tools for a customer's LLM or RAG app.",
 "who": "An FDE on a customer project who must show that an LLM or RAG app works before handoff.",
 "problem": "Teams need a way to measure answer quality and trace system behavior before they trust it.",
 "outcome": "A shortlist of two or three evaluation tools, each with a stated reason.",
 "steps": [
  "Open the Tools section of the README and list the evaluation and observability entries.",
  "Pick the tools that match the app type: RAG, agents, or general LLM.",
  "Open each candidate's GitHub page and check its README for the features you need.",
  "Write a one-page comparison against the customer's required metrics."
 ],
 "agent_prompt": "Using the Tools section of the global-fde/awesome-fde-resources README, shortlist three evaluation tools for a <customer LLM app>. For each tool, state the feature match from its own repo README and the main gap. Verify each link opens to the named project before you report.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "60 minutes",
 "basis": "readme",
 "caveat": "The README only lists these tools without testing or ranking them, so verify each project's current state yourself.",
 "category": "Work and operations",
 "tags": [
  "Work and operations"
 ],
 "lang": "python",
 "requirements": [
  "A web browser and GitHub access",
  "A target customer workflow or AI system to focus on",
  "Setup for each linked tool, which the README does not describe"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/global-fde-awesome-fde-resources/pick-evaluation-tools-for-llm-app/",
 "md": "https://dedupedai.com/use-cases/global-fde-awesome-fde-resources/pick-evaluation-tools-for-llm-app/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/global-fde-awesome-fde-resources--pick-evaluation-tools-for-llm-app.json",
 "api_version": "v1"
}