Complete Observability for AI Applications

From development to production, AI Logs provides the visibility and control you need to build reliable, compliant AI systems.

Event Ingestion

LLM Completions
Log prompts, responses, model parameters, token usage, and latency for every LLM call.
Embeddings
Track vector generation, similarity searches, and embedding model performance.
Agent Steps
Capture multi-step agent workflows, tool usage, and decision chains.
Custom Events
Log any application event with structured metadata and custom schemas.

Monitoring & Analytics

Real-Time Metrics
Track request rates, error rates, latency percentiles, and token consumption.
Incident Management
Create, track, and resolve incidents with full event context and timeline.
Custom Dashboards
Build dashboards with filters, aggregations, and visualizations tailored to your needs.
Anomaly Detection
Automatically detect unusual patterns in error rates, latency, or usage.

Compliance & Governance

Audit Exports
Generate compliance reports in CSV, JSON, or PDF with customizable date ranges.
Retention Policies
Automate data lifecycle with configurable retention periods and archival.
Access Controls
Role-based permissions, SSO integration, and audit logs for all access.
Data Redaction
Automatically redact PII, API keys, and sensitive data before storage.

Developer Experience

Multi-Language SDKs
Native SDKs for Python, Node.js, and REST API with full TypeScript support.
Query API
Powerful query language with filters, pagination, and aggregations.
Webhooks
Real-time event streaming to your own systems via webhooks.
Local Development
Run AI Logs locally with Docker for development and testing.

Integrates with Your Stack

AI Logs works seamlessly with the tools and frameworks you already use.

LLM Providers

  • OpenAI
  • Anthropic
  • Cohere
  • Hugging Face
  • Azure OpenAI

Frameworks

  • LangChain
  • LlamaIndex
  • Haystack
  • Semantic Kernel

Infrastructure

  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Docker

Monitoring

  • Datadog
  • Grafana
  • Prometheus
  • Sentry

Use Cases

Production Monitoring
Track LLM performance, errors, and costs in real-time across all your AI services.
Compliance & Auditing
Maintain audit-ready logs for SOC 2, GDPR, HIPAA, and other regulatory requirements.
Debugging & Troubleshooting
Trace issues back to specific prompts, model versions, and user interactions.
Cost Optimization
Analyze token usage, identify expensive queries, and optimize LLM costs.

Ready to Get Started?

See how AI Logs can help your team build better AI applications.

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