LogicGaze: Monitor, Trace, and Evaluate Production LLM Apps. AI-native observability for production LLM apps. Monitor, trace, and evaluate OpenAI, Anthropic, Azure OpenAI, and Gemini — with one line of code.
LLM Monitoring and Distributed Tracing
Trace every LLM call, agent step, tool use, retrieval, and embedding in a structured timeline. LogicGaze breaks every run into a visual span tree so you can pinpoint failures, latency spikes, and unexpected model behavior instantly. Native SDK for Python and TypeScript — zero configuration for OpenAI and Anthropic.
- Distributed trace trees across agents, tools, retrievals, and embeddings
- Native SDK for Python and TypeScript with zero config for OpenAI and Anthropic
- Multi-turn thread views with full session context
- Real-time streaming trace capture
LLM Evaluation and LLM-as-Judge Scoring
Capture production traces, turn them into test cases, and score outputs with LLM-as-Judge and human review. Measure faithfulness, relevance, coherence, hallucination, and harmfulness. Compare experiments side-by-side and ship AI features with evidence.
- Automated scoring: faithfulness, relevance, coherence, hallucination, harmfulness
- Side-by-side experiment comparison across prompt versions
- Human annotation queues with inter-rater calibration
- Online evaluators for continuous production monitoring
AI Guardrails — PII Detection and Content Filtering
Every AI request flows through LogicGaze's policy engine. PII is detected and redacted across 20+ patterns including SSN, credit card, passport, and IBAN. Prompt injections are blocked. Harmful content is filtered — with zero application code changes.
- 20+ PII detection patterns: SSN, credit card, passport, IBAN, email, and more
- Prompt injection and jailbreak detection
- Configurable content filters per workspace or project
- Full audit log of every guardrail enforcement action
AI Cost Tracking and FinOps
Token-level cost attribution per model, user, and project across OpenAI, Anthropic, Azure OpenAI, and Google Gemini. Set budget alerts before they become surprises. Compare provider costs and latency to make smarter infrastructure decisions.
- Per-token cost attribution across all providers in USD
- Budget periods and configurable spend alerts
- User-level and project-level cost breakdowns
- Provider comparison: cost vs latency vs error rate
AI Security Scanning
LogicGaze scans every file your app actually uses — traced from your entrypoint through the full import graph. SAST scanning with 120+ rules covers SQLi, XSS, SSRF, CSRF, and RCE. Secret detection across 60+ patterns including AWS, OpenAI, GitHub, and Stripe keys.
- 120+ SAST rules covering 24 vulnerability categories
- 60+ secret detection patterns for major cloud and AI providers
- Import-graph scanner traces every reachable file from your entrypoint
- Dependency CVE matching against the OSV database (PyPI, npm, Go, Maven)
- IaC scanning: Dockerfile, Kubernetes, Docker Compose, Terraform
LLM Observability for OpenAI, Anthropic, Azure OpenAI, and Google Gemini
LogicGaze LLM monitoring supports all major AI providers. Monitor OpenAI and Anthropic costs and traces side by side. Track Azure OpenAI usage and latency. Evaluate Google Gemini outputs with LLM-as-Judge. Also supports Mistral, Cohere, Groq, Amazon Bedrock, DeepSeek, xAI Grok, Ollama, Together AI, Perplexity, Meta Llama, and HuggingFace. Framework integrations include LangChain, LangGraph, CrewAI, Pydantic AI, Vercel AI SDK, and LiteLLM.
AI Security and Cost Visibility
LogicGaze provides security scanning and cost tracking across every AI provider. Monitor security vulnerabilities, track costs from OpenAI, Anthropic, Azure, and Gemini from a single dashboard.
Pricing
LogicGaze offers a free plan with no credit card required. Get started in 5 minutes. View pricing plans.