# AnoSys

> Full-stack observability for AI agents, models, infrastructure, and applications. Trace reasoning, detect anomalies, and optimize performance end to end.

> Optional: [llms-full.txt](https://anosys.ai/llms-full.txt)

AnoSys is an observability platform built for teams shipping agentic AI. It ingests traces, metrics, logs, evals, and custom signals from any framework — OpenTelemetry, REST APIs, SDKs, JavaScript, image pixels, or cloud storage — into a single system of record. ML-powered anomaly detection, continuous evals, causal root cause analysis, and a natural language interface help engineering teams move from "something broke" to "here's why" in minutes.

## Main Pages

- [Homepage](https://anosys.ai/): Overview of the platform, capabilities, data ingestion methods, and industry solutions
- [Product](https://anosys.ai/product.html): Detailed feature breakdown — observability platform, custom pipelines, anomaly detection, continuous evals, root cause analysis, alerting, dashboards, and natural language interface
- [Solutions](https://anosys.ai/solutions.html): Industry-specific use cases — agentic AI, foundation models, AI safety & compliance, network security, advertising & fraud, infrastructure & IoT
- [Pricing](https://anosys.ai/pricing.html): Pricing tiers and plan details
- [About](https://anosys.ai/about.html): Company background and team
- [Contact](https://anosys.ai/contact.html): Sales, partnerships, and support inquiries
- [Free Trial](https://anosys.ai/freetrial.html): Sign up for a free trial of the platform
- [Careers](https://anosys.ai/careers.html): Open positions — browse roles by team and location
- [Solutions Engineer](https://anosys.ai/careers/solutions-engineer.html): Technical bridge between AnoSys and engineering teams adopting AI observability
- [Backend Engineer](https://anosys.ai/careers/backend-engineer.html): Build the core observability platform — ingestion pipelines, query engine, real-time analytics
- [Research Scientist](https://anosys.ai/careers/research-scientist.html): Advance AI observability research — LLM evaluation, causal inference, anomaly detection
- [Account Executive](https://anosys.ai/careers/account-executive.html): Drive go-to-market strategy and revenue growth for AI observability solutions

## Documentation

- [Docs Home](https://anosys.ai/docs/): Documentation hub with quickstarts, API reference, and integration guides
- [Getting Started](https://anosys.ai/docs/getting-started/): Step-by-step setup and first-trace guide
- [OpenAI Agents Integration](https://anosys.ai/docs/openai-agents/): Instrument OpenAI Agents with AnoSys observability
- [OpenAI ChatKit Integration](https://anosys.ai/docs/openai-chatkit/): Add observability to OpenAI ChatKit applications
- [Anthropic Agents Integration](https://anosys.ai/docs/anthropic-agents/): Instrument Anthropic Claude agents
- [Custom LLM Integrations](https://anosys.ai/docs/custom-llm-integrations/): Connect any LLM provider via REST API or Python decorator
- [OpenTelemetry Integration](https://anosys.ai/docs/opentelemetry/): Universal OTEL integration guide — send traces, metrics, and logs from any system that speaks OpenTelemetry, including AI apps, Kubernetes, and infrastructure
- [Data Ingestion](https://anosys.ai/docs/ingestion/): All supported ingestion methods — OpenTelemetry, REST APIs, JavaScript, image pixel, cloud storage
- [Network Monitoring](https://anosys.ai/docs/network/): Network telemetry and traffic analysis
- [Use Cases](https://anosys.ai/docs/use-cases/): Real-world observability scenarios and best practices
- [FAQ](https://anosys.ai/docs/faq/): Frequently asked questions

## Blog

- [Blog Home](https://anosys.ai/news/blog/): The AGI Accelerator — observability insights to accelerate your AGI journey
- [Observability for Monetizable AI — When Agents Start Clicking Ads](https://anosys.ai/news/blog/2026/03/08/observability-for-monetizable-ai--when-agents-start-clicking-ads/): How to observe and measure AI-driven advertising and monetization workflows
- [How to Reduce LLM Costs with End-to-End Observability](https://anosys.ai/news/blog/2026/03/01/how-to-reduce-llm-costs-with-end-to-end-observability/): Strategies for cutting LLM spend using traces, evals, and anomaly detection
- [What Is AI Observability — And Why Current Tools Are Failing You](https://anosys.ai/news/blog/2026/02/03/what-is-ai-observability--and-why-current-tools-are-failing-you/): Why traditional monitoring falls short for AI systems and how to fix it
- [How to Track Website Traffic and Performance with Anosys](https://anosys.ai/news/blog/2026/01/15/how-to-track-website-traffic-and-performance-with-anosys/): Tutorial on setting up website analytics with JavaScript tracker and image pixel

## Key Capabilities

- **Unified Telemetry**: Traces, metrics, logs, evals, and custom signals — one backend, any framework
- **AI & LLM Observability**: Trace prompts, completions, tool calls, and reasoning steps
- **ML Anomaly Detection**: Learns normal behavior, surfaces real anomalies — not just threshold breaches
- **Continuous Evals & AutoJudge**: Automated quality, safety, and policy scoring in CI and production
- **Root Cause Analysis**: Causal graphs connecting anomalies to upstream triggers
- **Dashboards & KPIs**: Pre-built views with drill-downs for agent health, cost, and model performance
- **Natural Language Interface**: Ask questions in plain English, get answers backed by your data
- **Custom Pipelines**: Enrich, route, and transform signals with automated remediation workflows
- **Alerting & Incidents**: Context-aware routing via Slack, email, PagerDuty, and webhooks

## Integrations

- OpenTelemetry (OTLP)
- OpenAI Agents SDK
- OpenAI ChatKit
- Anthropic Claude
- REST APIs
- Python SDK with decorators
- JavaScript tracker
- Image pixel
- S3, Google Cloud Storage, FTP