LangWatch

Introduction to LangWatch

LangWatch is an advanced observability and evaluation platform tailored for Large Language Models (LLMs). It empowers AI teams to monitor, assess, and optimize their LLM applications with confidence. By integrating seamlessly into existing workflows, LangWatch provides comprehensive insights into model performance, user interactions, and potential safety concerns, ensuring that AI systems operate at their best.

Key Features

• Real-Time Monitoring: Track every request through your AI stack, visualizing token usage, response times, latency, and costs. This feature aids in identifying and resolving issues promptly.
• Automated Evaluations: Implement both offline and online checks using LLM-as-a-Judge and code-based tests. This helps in detecting hallucinations, factual inaccuracies, and measuring response quality.
• Optimization Studio: Utilize drag-and-drop tools to experiment with prompts, hyperparameters, and LLMs without altering production code. This facilitates rapid iteration and optimization.
• Human-in-the-Loop Annotations: Collaborate with domain experts to annotate and score messages, enhancing the quality and reliability of AI outputs.
• Custom Dashboards: Create personalized dashboards to monitor key performance indicators, track metrics over time, and generate reports for stakeholders.
• Safety Guardrails: Implement safeguards to prevent common AI issues like jailbreaking, sensitive data exposure, and off-topic conversations.
• Comprehensive SDK Support: Integrate LangWatch with various LLM frameworks, including OpenAI, Anthropic, and LangChain, using Python, TypeScript, and REST APIs.

How to Use LangWatch

1. Sign Up: Visit app.langwatch.ai to create a free account.
2. Integrate SDK: Add the LangWatch SDK to your project and integrate it with your chosen LLM framework.
3. Configure Monitoring: Set up the metrics and analytics you wish to track in the LangWatch dashboard.
4. Implement Evaluations: Define automated safety checks and evaluations to detect potential issues in your LLM outputs.
5. Monitor Analytics: Use the dashboard to view real-time analytics on your LLM’s performance and user interactions.
6. Analyze and Improve: Leverage insights to refine prompts, adjust safety parameters, and enhance the overall user experience.
7. Collaborate: Invite team members to access the dashboard and work together on improving your LLM application.

Pricing Plans

LangWatch offers flexible pricing to cater to different needs:

• Developer Plan: €0/month
  • 1,000 traces/month
  • 30-day data access
  • 2 users
  • Community support via GitHub and Discord
• Launch Plan: €59/month
  • 20,000 traces/month
  • 180-day data access
  • 3 users
  • Slack and email support
• Accelerate Plan: €199/month
  • 20,000 traces/month
  • Up to 2 years data retention
  • 5 users
  • Dedicated support and security controls
• Enterprise Plan: Custom pricing
  • Custom traces and data retention
  • Unlimited users
  • Self-hosting options
  • Enterprise-grade support and security features

Frequently Asked Questions

• What is LangWatch? LangWatch is an all-in-one platform for monitoring, evaluating, and optimizing LLM applications.
• How does LangWatch ensure data privacy? LangWatch offers robust security features, including ISO 27001 compliance, SSO, and audit logs, to protect user data.
• Is LangWatch easy to integrate? Yes, LangWatch provides comprehensive SDKs and APIs for seamless integration with various LLM frameworks.
• Can LangWatch handle large-scale deployments? Absolutely. LangWatch supports both cloud-based and self-hosted deployments, catering to enterprises with extensive AI operations.
• Does LangWatch support team collaboration? Yes, LangWatch allows multiple users to collaborate, share insights, and work together on improving LLM applications.