Entry
Appears in 4 awesome lists
🟢 — LLM monitoring toolkit extracting safety/security signals such as jailbreak similarity, prompt-injection similarity, hallucination checks, PII patterns, toxicity, and refusal metrics. (WhyLabs) · updated 2024-11-22)
Section: Scanners, Evals & Guardrails · 🟢 — LLM monitoring toolkit extracting safety/security signals such as jailbreak similarity, prompt-injection similarity, hallucination checks, PII patterns, toxicity, and refusal metrics. (WhyLabs) · updated 2024-11-22)
Section: 数据 Data · An open-source toolkit for monitoring Large Language Models (LLMs). Extracts signals from prompts & responses, ensuring safety & security.
Section: LLMOps · Out-of-the-box LLM telemetry collection library that extracts features and profiles prompts, responses and metadata about how your LLM is performing over time to find problems at scale.
Section: Tools · 🔍 LangKit - An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safe…
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.
Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.