Open-source tool to estimate and compare costs across LLM providers. Supports 100+ models from OpenAI, Anthropic, Google, and more.
Open-source observability for LLMs and ML models. Traces, evals, and datasets in one place with an intuitive UI.
Meta LLM-based input/output safeguard model. Classifies safety risks in both user prompts and agent responses in real time.
NVIDIA toolkit for adding programmable guardrails to LLM apps. Control topical, safety, and security behaviors of conversational agents.
Real-time usage metering for AI APIs. Track token consumption, costs, and quotas per user or team across any LLM provider.
Add guardrails to LLM outputs. Validate, fix, and filter model responses for structure, type, and quality constraints.
Open-source LLM engineering platform. Traces, prompt management, evaluations, and datasets — self-hostable.
Open-source LLM observability. One-line integration to log, monitor, and debug all your LLM requests.
Developer platform for LLM apps. Debug, test, evaluate, and monitor in production. Built by LangChain.