End-to-end Observability for Your Gen-AI Stack

It’s an end-to-end observability layer designed for teams running LLMs and generative AI workloads in production. Watchlog tracks hallucinations, prompt injections, similarity drift, PII detection, toxicity, and more — across every AI model and provider.

• Works with OpenAI, Anthropic, Cohere, DeepMind, Mistral, Groq, and Bedrock.
• Captures both request and response context for each inference.
• Real-time scoring for hallucination, readability, sentiment, and safety.

Each model call includes structured fields for input prompts, output responses, latency, tokens, cost, and quality metrics. Watchlog also records semantic similarity, toxicity levels, and theme drift for long-term trend analysis.

• Prompt and response text (sanitized when needed).
• Tokens and latency on secondary axis.
• Optional anonymization for PII and sensitive data.

Alerts can be triggered automatically when hallucination scores, toxicity, or injection risk exceed thresholds. Notifications are delivered in real-time through Slack, Telegram, or custom webhooks.

• Thresholds configurable per model, provider, or project.
• Built-in anomaly detection for sudden drift.
• Webhook payloads support automated remediation.

Enterprise customers receive a dedicated environment with isolated data pipelines, encrypted storage, and advanced access controls (SSO/SAML, RBAC). All telemetry and AI logs are processed under strict compliance controls.

• Private subdomain and white-label branding.
• Isolated database and compute for every tenant.
• Full control over data retention and access policies.

You can use Watchlog SDKs for Node.js, Python, PHP, Django, FastAPI, or Laravel to instrument your app. Simply add your API key, wrap your LLM calls, and Watchlog will automatically send structured metrics to your dashboard.

• Lightweight SDKs with async batching and minimal latency overhead.
• Auto-capture for OpenAI and Anthropic APIs.
• Send custom attributes or user context with each event.

The Generative AI Monitoring module is part of Watchlog Enterprise. Pricing is usage-based — calculated on number of model calls and stored logs. Contact the sales team for tailored enterprise plans.

• Flexible scaling with transparent usage metrics.
• No hidden per-token fees.
• All plans include support, dashboard access, and retention controls.