| Name |
LangWatch AI |
| Overview |
LangWatch AI is a robust LLM‑Ops solution for developers and AI teams. It provides end‑to‑end observability, automated testing, guardrails, prompt tuning, user analytics, and collaboration tools-all wrapped in a dev‑friendly UI and SDKs. |
| Key features & benefits |
- Observability & Monitoring: OpenTelemetry-based tracing, cost/token metrics, latency, and error alerts.
- Evaluation & Guardrails: Real-time and offline checks for hallucinations, off-topic content, policy breaches.
- Prompt Optimization Studio: DSPy-powered prompt tuning with low-code UI.
- Agent Testing: Multi-turn simulation scenarios catch regressions.
- Analytics & Annotation: Track user flows, sentiment, annotations, expert reviews.
- Collaboration: Team dashboards, projects, Slack/email alerts for streamlined workflows.
|
| Use cases and applications |
- QA & CI/CD pipelines for LLM apps.
- Regression testing after model or prompt updates.
- A/B testing prompts, models, or chains.
- Monitoring chatbots, RAG systems, AI assistants.
- Compliance monitoring and security (jailbreak detection, PII redaction).
|
| Who uses? |
AI developers, ML engineers, product managers, prompt engineers, data scientists, domain experts (legal, compliance, UX), operations leads in AI-centric organizations. |
| Pricing |
- Developer (Free): 1 k traces/month, 2 users, 30 days data, community support.
- Launch (€59/mo): 20 k traces, 3 users (additional €19/user), 180 days retention, unlimited evals/optimizations, Slack/email support.
- Accelerate (€199/mo): 20 k traces, 5 users (+€10/user), up to 2 years retention, ISO 27001 support, dedicated security controls.
- Enterprise: Custom-SSO, audit logs, SLA, support engineer, custom trace volumes/data retention.
|
| Tags |
LLM‑Ops, Observability, Prompt Engineering, A/B Testing, Monitoring, Guardrails, CI/CD, Data Analytics |
| App available? |
Yes – Cloud and self‑hosted via Docker/Kubernetes, SDKs for Python/TypeScript and REST APIs. |
