GenAI Monitor Framework
Effortless Tracking & Evaluation for Generative AI Models
Seamless AI Observability with 1 Line of Code and 1 Minute Quick Start
GenAI Monitor Framework gives you instant access to centralized monitoring and traceability without disrupting your workflow.
With just one line of code, and approx. 1 minute, you unlock GenAI Eval, providing dashboards, insights, and tracking across your AI projects.
Seamless Integration with Your AI Stack
GenAI Monitor connects effortlessly with industry-leading AI frameworks and APIs, ensuring full observability across your LLM and generative AI workflows – without vendor lock-in.
Transformers & Diffusers
Monitor models built with Hugging Face’s most popular libraries.
OpenAI API, and LiteLLM
Track generations, inputs, and performance across hosted and local LLMs.
Custom
Frameworks
Easily integrate proprietary models and workflows with custom function registration.
What Makes GenAI Monitor Special?
Instant, Team-Wide Observability
- Track models, inputs, and outputs in real-time.
- Store and reuse inference artifacts for debugging and comparison.
- Seamless integration into your stack.
Works with Any AI Stack
- Hosted & Local Models – OpenAI, Hugging Face, DeepSeek, and more.
- Frameworks & APIs – Supports popular frameworks (transformers and diffusers) and LiteLLM out of the box.
- Proprietary Code & Tests – No need to modify existing workflows.
- Compatible with your custom tools.
Why Choose GenAI Monitor?
- Close Observability Gaps Without the Cost – Get full visibility into your GenAI models—inputs, outputs, and performance—without extra infrastructure or added DevOps effort. Reduce costs with built-in caching and smart tracking.
- Faster PoC Iteration Through Automation – Instantly capture model behavior across runs without manual logging. Move quickly from idea to validation with automated tracking and zero code overhead.
- Seamless Team Collaboration with Shared Insights – Centralized observability makes it easy for teams to align, debug, and improve models together using shared, real-time performance data.
Explore Our Latest Implementations with GenAI Monitor
project
Smoother Onboarding and Collaboration with GenAI Monitor
In our project, GenAI Monitor provides a shared, transparent repository for all agentic interactions and experiments. This eliminates knowledge silos, accelerates onboarding,…
project
Streamlined Observability for GenAI Workflows
In our project, the observability system allows us to monitor full agentic workflows, link experiments to execution providers, and inspect both high-level sequences and…
project
Efficient Caching for Generative AI Workflows
The caching system significantly reduces costs by eliminating redundant LLM calls, especially in reasoning-heavy workflows. It enables fast, low-overhead replay of agentic sequences and…
Why Choose GenAI Monitor Over Langsmith or Observers?
Most observability tools force developers into closed ecosystems, LLM wrappers, API keys, or hosted services. GenAI Monitor is different:
Tracks Any Model or Pipeline
No restrictions on which models or frameworks you use.
No Vendor Lock-In
Unlike Langsmith, you’re not tied to specific APIs or hosted platforms.
One-Line Integration
Instantly access monitoring and observability without modifying your existing code.
Local Deployment, Zero Friction
Run it on your own infrastructure with ease.
Custom Model Support
Easily extend tracking to proprietary models and workflows.
Open-Source & Free to Use
No hidden costs or usage-based pricing.
Who Will Benefit from the GenAI Monitor Framework?
- Developers who need full control over their AI stack.
- Teams working with custom models, APIs, and pipelines.
- AI researchers and ML engineers needing deep observability tools.
Ditch the Lock-In. Own Your AI Observability.
Ready to get started?
