“LLM evaluation”

Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified.

A.I.G Scanner — AI security scanning for infrastructure, AI tools / skills, AI Agents, and LLM jailbreak evaluation via Tencent Zhuque Lab AI-Infra-Guard.

Attach judges to config variations for automatic LLM-as-a-judge evaluation.

MLflow 3 GenAI agent evaluation.

MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.

Use when the user wants to migrate code that calls OpenAI, Gemini/Google AI, or the Anthropic API to Amazon Bedrock — a pure model/SDK rewrite.

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology.

Migrate an application with hardcoded LLM prompts to a full LaunchDarkly AgentControl implementation in five stages: audit the code, wrap the call, move the…

AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly…

Manage, version, and publish LLM prompts with blocks, variables, and evaluations.

EU-hosted AI platform: OpenAI-compatible LLM gateway, document extraction, transcription, agents.

Guardrails for LLM output: pass / fail / review verdicts and one recommended action.